Jurnal Ilmiah Ilmu Terapan Universitas Jambi

IMPACT OF GOVERNMENT POLICIES ON THE KNOWLEDGE BASE OF SUSTAINABLE SMALL AND MEDIUM-SIZED ENTERPRISES

Wed, 15 May 2024 00:00:00 +0700

Small and Medium Enterprises are pivotal in academic research, policy formulation, and economic development because they drive financial growth and create employment opportunities. This study aims to evaluate the factors influencing operational performance in SMEs, focusing on the impact of knowledge and the moderating role of government policies. Utilizing a sample of 200 SME owners in Padang, selected through convenience sampling, data was collected via online questionnaires based on field studies. The analysis, conducted using Structural Equation Modeling-Partial Least Squares, explores the complex relationships between knowledge variables, government policies, and SME operations. Findings reveal that knowledge investment is crucial for the operational success of SMEs, underscoring its importance in business strategy. Government policies also positively influence SME performance, highlighting the need for supportive regulatory environments. This research contributes to a deeper understanding of the factors that support SME success and emphasizes the strategic role of government intervention. The study's novelty lies in its dual focus on knowledge and policy, offering comprehensive insights into their combined effects on SME performance. While the findings are specific to Padang, they suggest broader implications for the role of knowledge and policy in SME development globally. Future research should address the limitations of this study, including its regional focus and variable scope, to enhance our understanding of SME performance on an international scale. This study informs policymakers and SME practitioners and sets the stage for further exploration into the sustainable growth of SMEs worldwide.

REVOLUTIONIZING TOURISM: UNLEASHING THE POWER OF EXPERIMENTAL DESIGN

Sodik Dwi Purnomo, Diah Retnowati, Zumaeroh Zumaeroh — Wed, 15 May 2024 00:00:00 +0700

Developing tourism attractions in regions is essential to boost local communities' well-being and revenue. However, these attractions face challenges from various sources, including internal and external factors like funding and development strategies. This study focused on identifying financing sources and effective strategies for developing tourism attractions in the region, using Serulingmas Interactive Zoo in Banjarnegara Regency as a case study. The research methods were contingent valuation method, logistic regression, and SWOT analysis. This study's main novelty is its approach, blending the Contingent Valuation Method, Binary Logistics Regression Analysis, and SWOT Analysis to tackle the research question. It also conducted experiments with three distinct questionnaires. The research results showed that to increase revenue as a source of financing, Serulingmas Interactive Zoo could increase ticket prices by IDR 6,505.62 on weekdays and weekends. The development strategy of Serulingmas Interactive Zoo emphasized opportunities and strengths through the SO and WO strategies and minimized weaknesses and threats through the ST and WT strategies. This research implication suggests boosting funding for Serulingmas Interactive Zoo by raising entrance fees and using strategic approaches (SO, WO, ST, and WT) to enhance its performance. It also hints at broader implications for various domains and highlights areas for future research and unanswered questions.

EMPLOYEE SATISFACTION, ENGAGEMENT AND FINANCIAL PERFORMANCE IN STOCK BROKERAGE COMPANIES

Wed, 15 May 2024 00:00:00 +0700

In the context of human resources in the securities industry being depleted after the Covid-19 pandemic, with strong fluctuations and many risks, maintaining and improving the quality of human resources to meet the, an urgent new development stage for the sustainable development of securities companies. Recent studies around the world to meet the needs of workers mostly focus on fields such as banking, manufacturing, etc. The results show that leadership style or salary has a direct impact on meeting the needs of workers. However, the securities industry with young human resources in developing countries like Vietnam has its own differences. The goal of the study is to clarify the relationship between satisfaction, engagement and financial performance in securities companies in Vietnam after the Covid-19 pandemic. Sample data was collected online by the authors from 225 employees working at securities companies in Vietnam, in the period from September 2023 to December 2023. Using quantitative research on the PLS-SEM linear structural model on SPSS 20 and AMOS 20 software, the results show that securities employees are not really satisfied with their current job, identifying 2 factors. Factors that have a strong influence on the financial performance of securities companies include: (1) Training and advancement and (2) Working environment. This is consistent with the characteristics of securities human resources in Vietnam. The study adds to the understanding of meeting employee needs through training and improving the work environment, which in turn will improve a company's financial performance.

TROSO WEAVING FESTIVAL: A CATALYST FOR CULTURAL CO-CREATION

Wed, 15 May 2024 00:00:00 +0700

This research aims to analyze the role of the Troso Weaving Festival in Jepara, Central Java, Indonesia, with formation as cultural value co-creation. Professional organizers and event experience can impact the emergence of a sense of happiness and unforgettable experience, leading to loyal consumers. Continuous consumers feel loyal and willing to volunteer to invite people to follow the Troso Weaving going to Troso Universal Coverage. This research method uses an exploratory approach considering the need to uncover new insights, understand complex relationships, and overcome existing knowledge gaps in co-creation. The respondents in this study were Troso Weaving Festival Visitors of 310 respondents. This study uses the theory of social cognitive approach to form the cultural value of co-creation. The analysis tool used a structural equation model by partial least squares. The research showed that Professional organizers positively affect the event experience. Entertainment, social contact and interaction, exploration of culture, and togetherness as cultural values are influential in experiencing event festival visitors. Event experience has contributed to mediating Professional organizers in cultural values co-creation. This implies that festivals can involve customers in creating co-creation value, which impacts Troso weaving worldwide, thus creating economic growth in Indonesia.

EXPLORING THE IMPACT OF AGE AND MOTIVATION ON SELF-DETERMINATION: INSIGHTS FROM INFORMAL SECTOR MOTHERS

Heriberta Heriberta, Zulfanetti Zulfanetti, Rike Setiawati — Wed, 15 May 2024 00:00:00 +0700

This groundbreaking research explores the intricate interplay between age factors, motivation to work, and the self-determination of mothers engaged in the informal employment sector, a demographic often overlooked in scholarly investigations. Employing a mixed-method approach characterized by a sequential exploratory design, this study pioneers a comprehensive examination of the multifaceted dynamics shaping maternal self-determination. Leveraging purposive sampling, data collection unfolds through a meticulously orchestrated blend of orally administered questionnaires and in-depth interviews, ensuring a holistic understanding of the subject matter. Analytically, the research employs a dual-pronged strategy encompassing descriptive and inferential statistical analyses, complemented by Miles & Huberman's framework for interview analysis. The study unveils a significant nexus between age, motivation, and maternal self-determination through rigorous statistical scrutiny, filling a conspicuous void in extant literature. This research's novelty lies in its explicit focus on delineating the intricate correlations and synergies between age and motivation factors vis-a-vis self-determination, particularly within the context of working mothers operating within informal economies, an underexplored realm in academic discourse. The implications of this study reverberate far beyond academia, offering tangible insights that can inform the development of targeted support programs tailored to empower and uplift mothers navigating the informal employment sector. Ultimately, this research represents a pioneering stride towards fostering a more inclusive and equitable ecosystem for working mothers, underpinned by a nuanced understanding of their unique challenges and aspirations.

A SYSTEMATIC REVIEW OF INDONESIAN HIGHER EDUCATION STUDENTS' AND GRADUATES' WORK READINESS

Novianto Eko Nugroho, Jusuf Irianto, Suryanto Suryanto — Tue, 25 Jun 2024 00:00:00 +0700

This literature review aims to determine the work readiness of undergraduate graduates to meet the qualifications required by employers in the world of work. The method used in this paper involved searching for all studies that examined work readiness and were published from 2019 to 2023. 5 out of 200 studies found on Google Scholar and Scopus were included in this review. Research findings show that programs in higher education, including internships and soft skills training, play an important role in increasing graduates' work readiness, demonstrating that the MBKM Program has effectively developed the skills and competencies required by the world of work. Research discussions highlight that these programs, including internships and soft skills training within the MBKM Program, are crucial for ensuring the relevance of education to job market needs. This research presents novelty by exploring and identifying the factors that influence the job readiness of prospective undergraduate graduates after participating in the Independent Campus Learning Program (MBKM), thus offering a new perspective in the context of higher education in Indonesia. The implications of this research are significant for curriculum development and learning programs in universities, which must continue to develop programs that support the development of soft skills and hard skills to increase graduates' work readiness.

MODELING INFLATION DYNAMICS USING THE LOGISTIC MODEL: INSIGHTS AND FINDINGS

Rinela Kapçiu, Brikena Preni, Eglantina Kalluçi, Robert Kosova — Sat, 29 Jun 2024 00:00:00 +0700

This paper examines applying the logistic model, frequently used in biology, to analyze inflation patterns in dynamic economic systems. The primary objective is to simulate and analyze the complex dynamics of inflation, thus providing new insights into the stability of financial institutions. Numerical methods such as Euler's Method, Runge-Kutta Method (RK4), and Adams-Bashforth-Moulton's method were used to simulate inflation patterns by discretizing the logistic equation. The data utilized in this research were obtained from INSTAT, BoA, MoF, and Eurostat, with quarterly results from 1995 to 2023. The simulation results indicated that the RK4 and Adams-Bashforth-Moulton methods yielded more precise and reliable inflation forecasts than Euler's. The logistic model represented the non-linear aspects of inflation dynamics well, emphasizing the necessity of using suitable numerical approaches. The study's findings highlight the effectiveness of the logistic model in economic analysis, specifically in forecasting inflation trends. Enhanced closure approaches have proven their effectiveness in analyzing intricate economic data, providing crucial insights into the stability of inflation, and informing policy formulation. This study utilizes the logistic model to analyze inflation dynamics, offering a unique methodology for comprehending and forecasting inflation in economic systems. An analysis of several closure techniques reveals a novel aspect of financial modeling tools. The findings indicate that incorporating advanced numerical methods can significantly improve the precision of economic models. These findings significantly impact economic research and policy formulation, especially in devising measures to manage inflation and ensure financial stability.

A STUDY OF MIXED-METHOD: SCIENCE PROCESS SKILLS, INTERESTS AND LEARNING OUTCOMES OF NATURAL SCIENCE IN JUNIOR HIGH SCHOOL

Yusnidar Yusnidar, Fuldiaratman Fuldiaratman, Ei Phyu Chaw — Tue, 14 May 2024 00:00:00 +0700

This groundbreaking study unravels the intricate nexus between science process skills, learning interest, and student learning outcomes within natural sciences education. Adopting a pioneering mixed-method approach, this research transcends traditional boundaries by synergizing quantitative and qualitative methodologies to yield a multifaceted understanding of the underlying dynamics. Leveraging a purposive sampling technique, the study meticulously selects seventh-grade students and science teachers from junior high schools in the Batanghari district, positioning itself at the forefront of empirical inquiry into science education. Through a judicious blend of quantitative data analysis facilitated by sophisticated software and qualitative analysis of interactive interviews, the research unfurls a rich tapestry of insights. The findings underscore a compelling correlation between science process skills, learning interest, and learning outcomes, unveiling a nuanced interplay between these pivotal variables. The revelation that science process skills and learning interests collectively influence student learning outcomes is of particular significance, underscoring the holistic nature of science education. The novelty of this research lies in its holistic integration of three pivotal variables through a mixed-methods approach, engendering a deeper understanding of the complex dynamics at play. This study paves the way for a more comprehensive comprehension of the factors shaping science education outcomes by transcending the limitations of singular methodological approaches. Ultimately, the insights gleaned from this research hold profound implications for educational practice, highlighting the imperative of fostering science process skills and nurturing learning interest to optimize student learning outcomes in natural sciences education.

DO UNDERGRADUATE PHYSICS STUDENTS STUDYING ABROAD NEED OPTIMISM? A CROSS-COUNTRY CASE STUDY

Tue, 14 May 2024 00:00:00 +0700

This pioneering study endeavors to paint a vivid portrait of optimism among physics undergraduate students pursuing studies abroad, illuminating the multifaceted dimensions of their academic and personal journey. Employing a qualitative case study approach, the research delves deep into the lived experiences of five purposively sampled participants, unraveling the intricate interplay between optimism, self-confidence, and social support networks. Through semi-structured interviews, the study unveils a compelling narrative of resilience and determination, as physics students abroad exhibit unwavering optimism in navigating the challenges inherent in their academic pursuits. Notably, participants demonstrate a profound sense of self-assurance, fostering a supportive environment characterized by mutual respect and camaraderie among peers. Moreover, the study sheds light on the pivotal role of external support systems, ranging from familial encouragement to mentorship from teachers, in bolstering students' resolve and fortitude. By focusing on physics undergraduate students hailing from Indonesia and studying across diverse international landscapes, this research offers a novel lens through which to understand the transformative power of optimism in transcending geographical and cultural boundaries. As such, the findings underscore the critical importance of fostering an optimistic mindset among students embarking on international academic endeavors, advocating for tailored support mechanisms that nurture self-efficacy, self-esteem, and social connectedness. Ultimately, this study serves as a clarion call for educational institutions and support service providers to prioritize holistic strategies aimed at cultivating and sustaining optimism among physics undergraduates pursuing studies abroad, thereby empowering them to thrive in the face of adversity and realize their full academic potential.

DOES THE INQUIRY LEARNING MODEL HAVE AN IMPACT ON SOCIAL ATTITUDES AND RESPONSIBLE CHARACTER?

Tue, 14 May 2024 00:00:00 +0700

This groundbreaking research endeavors to unveil the transformative potential of the inquiry learning model, transcending its conventional academic applications to delve into its profound impact on high school students' social attitudes and responsible character. Employing an innovative mixed methods research design, this study pioneers a comprehensive analysis that seamlessly integrates quantitative and qualitative methodologies. Through the meticulous administration of a carefully constructed questionnaire, the research uncovers compelling insights gleaned from sophisticated t-test and regression analyses. Results illuminate a significant correlation between students' social attitudes and responsible character, highlighting the intricate interplay between these pivotal dimensions of adolescent development. Furthermore, regression analysis reveals the substantive influence of the inquiry learning model in fostering positive social attitudes and instilling a sense of responsibility among students. Novelty is intrinsic to this research, as it boldly ventures beyond traditional academic metrics to prioritize the cultivation of empathy, integrity, and civic engagement among learners. By challenging established educational paradigms, this study advocates for a transformative shift that recognizes inquiry-based approaches as catalysts for nurturing well-rounded individuals poised to effect positive societal change. Ultimately, this research represents a paradigmatic advancement in education, emphasizing the indispensable role of pedagogy in shaping not only intellectual acumen but also moral fortitude and social consciousness.

CITIZEN SCIENCE PROJECT DESIGN FOR ECOLOGY COURSE: REDUCING POLLUTION CAUSED BY GOLD MINING

Tue, 14 May 2024 00:00:00 +0700

The article aims to provide an overview of designing a citizen science project in ecological learning, focusing on the case of gold mining pollution in the Batanghari River area. This research employed a qualitative method, non-interactive type with the approach used being concept analytical. The design of the citizen science project is conducted through a sequential cycle with its main components including: identifying the need or problem, determining if citizen science is the right approach, designing the project, building the community, managing the data, and evaluating the project. This project design illustrates an organized method of citizen science in ecological learning that is customized to the gold mining area. The contribution of participants is very important to emphasise at every activity in the project design, therefore the development of activities in this project refers to the logic model. The type of project relevant to the issue raised is to assess the potential or ecological status of the Batanghari River through the measurement of biological quality elements, physico-chemical elements, and hydromorphological quality elements, referring to the European Environment Agency standards. The design incorporates two distinct components: a collaborative project model and a framework based on research, both of which are arranged into mini-project activities. As a result, the project will contribute to improving students' skills in monitoring and collaborating with communities, as well as accommodating ecological learning activities intended as actions to help mitigate the problem of pollution due to gold mining in the Batanghari River.

MAPPING STUDENTS' THINKING SYSTEMS IN CRITICAL THINKING BASED ON STEM PROJECT-BASED LEARNING EXPERIENCES

Nehru Nehru, Sri Purwaningsih, Cicyn Riantoni, Doni Ropawandi, Devie Novallyan — Tue, 14 May 2024 00:00:00 +0700

Critical thinking is an essential skill for students to develop. The objective of this research is to map students' thinking systems in critical thinking based on STEM project-based learning experiences. The method used is a mixed-method approach with an Embedded Experimental Model. The research subjects are undergraduate students in basic physics at the University of Jambi. Data collection is conducted through tests and interviews. The test instrument employs structured critical thinking questions based on the Halpern Critical Thinking Assessment (HCTA) indicators, while the interview instrument utilizes open-ended questions. Data analysis utilizes paired t-tests and coding to map students' thinking systems. The research results indicate an influence of STEM-PjBL learning on students' critical thinking abilities, supported by the analysis showing a moderate increase in students' critical thinking abilities. Additionally, based on mapping students' thinking systems, there is an increase in thinking system 2 by 56 answers. Moreover, thinking system 2 is nearly equivalent to thinking system 1 except in reasoning. In the fourth question and other aspects of critical thinking abilities, thinking system 2 is comparable to thinking system 1 and even more dominant in question number 3. This demonstrates an enhancement in students' critical thinking abilities after STEM project-based learning. This research provides new insights into the development of student's critical thinking skills, which can be beneficial for curriculum development and teaching practices in the STEM education field.

SPECIAL EDUCATION TEACHERS’ ABILITY IN LITERACY AND NUMERACY ASSESSMENTS BASED ON LOCAL WISDOM

Tue, 14 May 2024 00:00:00 +0700

This pioneering research endeavors to delve into the competencies of special education teachers in Indonesia concerning the development of literacy and numeracy assessments rooted in local wisdom, while simultaneously exploring the fundamental concepts of evaluation and teacher responsibilities. Employing a mixed-method explanatory design, the study represents a novel approach to understanding the intricate interplay between pedagogical practices and cultural contexts. Drawing upon a diverse research population comprising special education teachers across Indonesia, the quantitative component of the study employs a rigorous proportional random sampling method, culminating in a robust sample size of 457 participants. Meanwhile, the qualitative inquiry adopts purposive and snowball sampling techniques to ensure a comprehensive exploration of teachers' perspectives and experiences. Research data, spanning questionnaires, interviews, observations, and document analyses, are meticulously collected and analyzed using innovative methodological frameworks such as Confirmatory Factor Analysis (CFA) and variance-based Structural Equation Modeling (SEM) for quantitative data, and data reduction, display, and conclusion for qualitative data. Findings underscore the nuanced variations in teachers' competencies across different regions, with Bali emphasizing the basic concept of evaluation, NTB Province prioritizing teacher responsibility, and NTT Province echoing similar sentiments. This research not only sheds light on the unique challenges and opportunities encountered by special education teachers but also offers invaluable insights into the integration of local wisdom in assessment development, paving the way for more culturally responsive and effective educational practices in Indonesia and beyond.

GENERIC SCIENCE SKILLS: PHET APPLICATIONS BASED ON DISCOVERY LEARNING

Haryanto Haryanto, Asrial Asrial, Aulia Sanova, Atri Widowati, Adhe Saputra — Tue, 14 May 2024 00:00:00 +0700

This pioneering research embarks on an ambitious quest to assess the conceptual, procedural feasibility, and efficacy of a groundbreaking educational intervention, the Discovery Learning model teaching module infused with the innovative PhET application aimed at enhancing students' generic skills proficiency in the domain of chemistry. In a departure from conventional methodologies, this study employs a rigorous Research and Development (R&D) framework underpinned by the renowned 4-D Model to craft and validate this transformative pedagogical tool meticulously. The research cohort comprises high school students and chemistry educators poised at the vanguard of educational innovation. Employing a meticulously designed set of validation and response questionnaires, the study harnesses the power of descriptive and inferential statistics to glean profound insights into the impact of the intervention. The findings illuminate a resounding success: the Discovery Learning model teaching module, seamlessly integrated with the PhET application, exhibits exceptional validity and practicality and yields tangible improvements in students' generic chemistry science skills. Moreover, the overwhelmingly positive feedback from both educators and students, coupled with discernible disparities in responses between the experimental and control groups, underscores the transformative potential of this cutting-edge educational tool. This research's novelty lies in its pioneering development and validation of a PhET application-based Discovery Learning module, heralding a paradigm shift in secondary school chemistry education with the promise of fostering a new generation of scientifically literate and adept learners primed to navigate the complexities of the modern world.

THE IMPACT OF CONCEPT CARTOONS AS AN INSTRUCTIONAL MATERIAL AND FORMATIVE ASSESSMENT TOOL IN TEACHING EVOLUTION ON THE ACHIEVEMENT OF GRADE 11 STEM STUDENTS ENROLLED IN SYNCHRONOUS MODALITY

Wed, 22 May 2024 00:00:00 +0700

Employing a pretest-posttest quasi-experimental design, this study ventures into uncharted territory by investigating the impact of Concept Cartoons as a pedagogical tool in teaching Evolution on the academic performance of 40 Grade 11 STEM students enrolled in General Biology 2, conducted synchronously. Furthermore, the research pioneers an exploration into students' misconceptions surrounding foundational concepts in Evolution, leveraging Concept Cartoons as a formative assessment tool deployed within an online learning platform. The cohort was divided into control (n = 21) and experimental (n = 19) groups, with the former receiving instruction through traditional lecture methods and the latter through Concept Cartoons administered digitally. Surprisingly, while students exhibited a spectrum of misconceptions related to Evolution, both experimental and control groups demonstrated statistically significant improvements in academic achievement from pre-test to post-test. Intriguingly, however, comparison of post-test scores between the experimental and control groups via independent t-test yielded no significant difference in achievement. This incongruity prompted a nuanced discussion on potential contributing factors, including the efficacy of Concept Cartoons in digital media and unforeseen technical challenges encountered during synchronous instruction. These findings offer valuable insights for science educators navigating the transition from face-to-face to online instruction amid the ongoing pandemic, underscoring the importance of critically evaluating the adaptability and effectiveness of instructional materials within diverse learning modalities.

SCIENCE TEACHER'S BOOK: ANALYZING ELEMENTARY SCHOOL STUDENTS' CHARACTER VALUES

Tue, 14 May 2024 00:00:00 +0700

This study ventures into uncharted territory by delving into the intricate tapestry of character values embodied by elementary school students, as delineated within the pages of the Independent Curriculum Class IV Science Teacher's Book. While the significance of character education in shaping young minds is widely acknowledged, this research pioneers a novel approach by scrutinizing the nuanced portrayal of character values embedded within the curriculum materials tailored for fourth-grade students. Leveraging a qualitative methodology, researchers conducted an exhaustive document study, meticulously collecting and analyzing the requisite literature, including softbooks and hardbooks. The findings unearth a compelling revelation: amidst the prescribed curriculum, certain character values crucial for holistic development are conspicuously absent, potentially undermining the efficacy of the teaching and learning process. Such gaps in character education not only impede academic progress but also exert deleterious effects on students' social and emotional well-being, both within the classroom environment and beyond. By spotlighting these lacunae, this study underscores the imperative for a comprehensive overhaul of character education initiatives, advocating for a more robust integration of essential values into the educational fabric. The research serves as a clarion call for educators and policymakers alike to redouble their efforts in nurturing a generation imbued with exemplary character values, thereby fostering a more compassionate and resilient society.

AN ANALYSIS OF THE APPLICATION OF PROBLEM BASED LEARNING (PBL) MODEL IN MATHEMATICS FOR ELEMENTARY SCHOOL STUDENTS

Sarnoko Sarnoko, Asrowi Asrowi, Gunarhadi Gunarhadi, Budi Usodo — Tue, 14 May 2024 00:00:00 +0700

The problem-based learning model remains an innovative model that is often implemented for learning in the 21st century, as an effort to achieve students' soft skill competencies. Therefore, the purpose of this study is to identify the necessary learning model in Mathematics at Girimarto District Elementary Schools and to analyze the application of the problem-based learning model at these schools. This research is classified as descriptive quantitative research, and it involves a random sample of 106 students and 10 elementary school teachers in the Girimarto area. The data collection technique used is non-test, specifically through the use of questionnaires. The data obtained from the questionnaires are analyzed descriptively using percentages to depict the research findings. The study highlighted a suboptimal implementation of the Problem-Based Learning (PBL) model in Girimarto District, with only 44.94% of the sample demonstrating mastery of critical thinking, 35.67% exhibiting creative reasoning, and 25.09% performing analytical thinking. This indicates a lack of High Order Thinking Skills (HOTS)-based learning among teachers. Various obstacles were identified, including student passivity, fear, and unfamiliarity with the PBL model. Interviews and observations further revealed that many teachers had not fully grasped the concept of PBL. The study emphasizes the need to address these obstacles to enhance PBL implementation and improve Mathematics learning outcomes in Girimarto District Elementary Schools. The implications of these findings underscore the necessity of addressing these barriers to enhance the implementation of PBL and improve Mathematics learning outcomes in Girimarto Elementary School.

EVALUATING THE BIOCONCENTRATION FACTORS (BCF) AND ESTIMATED DAILY INTAKE (EDI) OF HEAVY METALS IN LIME PLANTS (CITRUS AURANTIFOLIA) IN SMALL SCALE GOLD ORE PROCESSING AREAS

Tue, 14 May 2024 00:00:00 +0700

Small-scale gold ore processing areas have become a global concern due to their significant contribution to heavy metal pollution. The residual amalgamation process in these areas leads to the accumulation of heavy metals in the environment, which can bioaccumulate in living organisms. This study focuses on the lime plant (Citrus aurantifolia), commonly found in small-scale gold ore processing areas, particularly in Sukamenang village. The research aims to assess the Bioconcentration Factor (BCF) and Estimated Daily Intake (EDI) of heavy metals in lime plants to evaluate the risk to residents who consume them. Samples were collected using random sampling and analyzed with an Atomic Absorption Spectrophotometer (AAS) and a mercury analyzer. The results indicate that Citrus aurantifolia has a BCF value of less than 1 (<1), classifying it as an excluder plant, effectively preventing heavy metals from entering its upper parts and allowing it to thrive in polluted environments. However, the consumption of these plants poses health risks. The study highlights the Reference Dose (RfD) values for heavy metals: Cu at 4.0 x 10^-2 (0.008), Fe at 0.7, and Hg at 0.0001, as recommended by the United States Environmental Protection Agency (USEPA) in 2011. Heavy metals such as Fe, Cu, and Hg in the lime plants indicate potential adverse health effects due to their toxicity. This research underscores the necessity for monitoring and mitigating heavy metal pollution in small-scale gold ore processing areas to protect public health and the environment.

PUMAKKAL FORMULA FOR MAKING SHRIMP POND WASTE FERTILISER

Tue, 14 May 2024 00:00:00 +0700

One way to decompose the pond waste sediment is to use the liquid nutrient culture media (NB) called Pumakkal as a starter formula. However, bioremediation in shrimp ponds paid less attention despite being massively promoted by the official government. East Lampung produced 11.6 million m3 of liquid waste and 4.077 m3 of sediment waste in shrimp ponds rich in organic matter. However, they will poison the pond if they are unchecked. This study investigated how Pumakkal decomposed shrimp pond waste with three parameters: macronutrients, micronutrients, and pH. The study employed laboratory experiments, and the research was a completely randomised design (CRD) with 15 factorial arrangements. The sample was 65 kg of shrimp pond waste and 65 litres of liquid waste. They were analysed with five treatment experiments: three treatments of liquid waste media (LW), sediment waste (SW), and mixed liquid and sediment waste (MLS). The results showed that the treatment of the CE 15 isolate (with MLS significantly improved (p<0.05) fertiliser quality. Bioremediation using Pumakkal CE is the best treatment with MLS, obtaining the fertiliser with the best macronutrient: Nitrogen (N) 1,3%, Phosphorus (P)2,3%, and Potassium (K) 2,3%; C-organic 23%, C/N ratio 29; micronutrient: Fe:155 ppm, Cu: 51 ppm, Zn: 72 ppm, Mn; 51 ppm, B; 25 ppm, and Mo: 8 ppm, and pH 5-6. The mixture of liquid and pond sediment waste produces the best fertiliser suitable for plant fertiliser users. The study implies that Pumakkal applies to decomposing harmful waste sediment to support the bioremediation program.

WAVELENGTH OF THE He-Ne LASER BY USING TWO TYPES OF DIAPHRAGM DIFFRACTION METHODS

Tue, 14 May 2024 00:00:00 +0700

Light diffraction, characterized by the spreading or bending of waves when encountering narrow obstacles, forms the focal point of this research endeavor. Utilizing the circular diffraction method, this study pioneers the identification of the He-Ne laser wavelength through experimentation with both three and five-slit diaphragms. The investigation with a three-slit diaphragm involves three variations in slit distances: d = 0.125 mm, 0.25 mm, and 0.5 mm at a screen distance of 150 nm, revealing diffraction patterns across three orders of magnitude. For the five-slit diaphragm, the analysis extends to a slit distance of d = 0.25 nm and a layer distance of 320 nm. Interestingly, the results reveal that the wavelength spectrum of the He-Ne laser depends on the variation of the gap distance. Remarkably, a gap distance as minimal as 0.25 nm yields wavelengths within the range of 641 nm to 660.67 nm, highlighting the diffraction process's sensitivity to minute variations in experimental parameters. This groundbreaking research not only elucidates the intricate interplay between light diffraction and experimental configurations but also underscores the circular diffraction method's versatility in determining the fundamental properties of laser light. This study paves the way for advancements in optical instrumentation and characterization techniques by offering novel insights into wavelength determination methodologies. These findings have far-reaching implications across diverse scientific disciplines, including physics, materials science, and optical engineering, enhancing the precision and capability of optical measurement technologies.

EXPLORATION OF INDIGENOUS PLANT GROWTH PROMOTING FUNGI (PGPF) AS BIOLOGICAL CONTROL AGENTS AND BIOFERTILIZER

Tue, 14 May 2024 00:00:00 +0700

This groundbreaking study ventures into uncharted territory to explore the vast potential of Plant Growth Promoting Fungi (PGPF) as multifaceted allies in agricultural sustainability. Departing from traditional paradigms, the research sets out to identify and characterize non-pathogenic fungal isolates with the capacity to serve as potent PGPF agents. Employing a pioneering approach, fungal isolates are meticulously collected from the rhizosphere of plants, heralding a new era of ecological exploration at the microorganism level. Rigorous testing for pathogenicity on soybean seeds unveils a rich reservoir of fungi diversity, with 18 isolates demonstrating remarkable efficacy in enhancing germination rates and promoting vigorous seedling growth. These findings not only underscore the pivotal role of PGPF in bolstering plant health and resilience but also herald a paradigm shift in sustainable agriculture. With the potential to serve as biopesticides for plant protection and biofertilizers for enhancing growth, these PGPF isolates offer a promising avenue for reducing reliance on synthetic inputs and mitigating environmental impacts. Moreover, their integration into integrated disease management strategies holds the promise of synergistic efficacy, paving the way for holistic approaches to agricultural sustainability. This research not only expands the frontiers of knowledge surrounding PGPF but also lays the groundwork for transformative innovations in agroecological practices, ushering in a greener, more resilient future for global agriculture.

BREADFRUIT PEEL AS THE MOST POTENT RADICAL SCAVENGERS FOR SKIN PROTECTION

Syamsurizal Syamsurizal, Elisma Elisma, Puspa Dwi Pratiwi — Thu, 06 Jun 2024 00:00:00 +0700

The sun's ultraviolet radiation causes erythema, premature aging, sunburn, hyperpigmentation, inflammation, and dry skin. For this purpose, sunscreen with an SPF value of over 15 is needed to protect the skin against UV rays. Breadfruit peel containing flavonoids may protect against free radicals and UV radiation. This study aims to increase SPF value from breadfruit fractionate by combining niacinamide and alpha-tocopherol. The ABTS and BSLT methods were used to screen potent free radical scavengers in n-hexane, dichloromethane, ethyl acetate, and methanol extracts. The dichloromethane extract had the highest potential as a free radical scavenger, with IC50 20,90 more or less 0,54, and the lowest toxicity, with LC50 234,42 more or less 1,06. Then, the scavenging activities and selective index of fractionates of dichloromethane were evaluated to show that the DM2 fraction had the strongest free radical scavenging activity and the lowest toxicity, with the highest selective index value of 46.08. The main active ingredient was DM2, combined with niacinamide and alpha-tocopherol into five compositions. The results of the lotion dosage forms revealed that the fifth formula, F5, met the requirement SNI standards and was stable during storage, with an SPF value of 20.61 more or less than 0.75, which was three times higher than the positive control with an SPF value of 6.67 more or less 1.28.

MEASURING THE SUSTAINABILITY OF RED CHILI AGRIBUSINESS SYSTEM IN NORTH SUMATERA PROVINCE, INDONESIA

Desi Novita, Tavi Supriana, Sirozujilam Sirozujilam, Satia Negara Lubis — Thu, 06 Jun 2024 00:00:00 +0700

Sustainable agriculture is an important factor in preserving sustainable development in an area. Red chili is a commodity that has a strategic role in the agricultural sector. This research aims to measure the endemic index in the red chili agribusiness system in North Sumatera Province. Data collection was carried out through in-depth interviews involving farmers, marketers, extension workers, and local governments using five dimensions of climbing. The data analysis method used was Multi-Dimensional Scaling (MDS), called RAP-Chili (Rapid Appraisal for Chili). The results show that the combined index for the red chili agribusiness system in this province is quite sustainable, with an index value of 58.94. Only one dimension is included in the high desire index level (78.35), namely the environmental dimension. Meanwhile, the other four dimensions are at the level of the quite desirable category, namely the economic dimension (52.82), the socio-cultural dimension (57.30), the partnership dimension (54.24), and the institutional dimension (51.98). Overall performance can be improved by making improvements in each dimension. Therefore, policy planning for developing the red chili agribusiness system must improve weak indicators and impact existing dimensions. Environmental aspects regarding land suitability, climate, and fertility must continue to be improved, considering that agriculture in Indonesia is still very dependent on natural resource factors.

INTELLIGENT HOME IOT DEVICES: AN EXPLORATION OF MACHINE LEARNING-BASED NETWORKED TRAFFIC INVESTIGATION

Tue, 14 May 2024 00:00:00 +0700

In the rapidly evolving landscape of smart homes powered by Internet of Things (IoT) devices, the twin specters of safety and privacy loom large, exacerbated by pervasive security vulnerabilities. Confronted with a heterogeneous array of devices each with unique Value of Service (QoS) requirements, devising a singular network management strategy proves untenable. To mitigate these risks, device categorization emerges as a promising avenue, wherein rogue or vulnerable devices are identified and network operations are automated based on device type or function. This novel approach not only fortifies IoT security but also streamlines network management, offering a multifaceted solution to the burgeoning challenges. Recognizing the burgeoning interest in leveraging machine learning for traffic analysis in IoT environments, this study delves deep into the potential and pitfalls of such techniques. Beginning with a comprehensive framework for categorizing IoT devices, the research meticulously examines methodologies and remedies across every stage of the workflow. Key focal points include the categorization of public datasets, nuanced analysis of IoT traffic data collection methodologies, and the exploration of feature extraction techniques. Through a rigorous evaluation of machine learning algorithms for IoT device classification, the study elucidates emerging trends and highlights promising avenues for future exploration. The culmination of this investigation manifests in meticulously crafted taxonomies, offering insights into prevailing patterns and informing future research trajectories. Moreover, the study identifies and advocates for uncharted territories within this burgeoning domain, propelling the discourse forward and catalyzing innovation in IoT security and management.

SMART HOME ENERGY SAVING WITH BIG DATA AND MACHINE LEARNING

Tue, 14 May 2024 00:00:00 +0700

In response to escalating energy consumption, particularly within the housing sector, a global imperative to reduce energy usage has emerged, propelling the concept of "smart houses" to the forefront of innovation. This paradigm shift owes its genesis to the convergence of advancements in energy conversion, communication networks, and information technology, catalyzing the emergence of the Internet of Things (IoT). The IoT facilitates seamless connectivity of devices via the World Wide Web, enabling remote management, monitoring, and detection capabilities. Capitalizing on this technological synergy, the integration of IoT, big data, and machine learning with home automation systems holds immense promise for enhancing energy efficiency. This paper introduces HEMS-IoT, a groundbreaking energy control system for intelligent homes, underpinned by big data analytics and machine learning algorithms, prioritizing security, convenience, and energy conservation. Leveraging J48 neural network technology and the Weka API, the study illuminates user behaviors and energy consumption patterns, enabling household classification based on energy usage profiles. Moreover, to ensure user comfort and safety, RuleML and Apache Mahout are deployed to customize energy-saving recommendations tailored to individual preferences. By presenting a practical demonstration of smart home monitoring, this paper validates the effectiveness of the proposed approach in enhancing security, comfort, and energy conservation. This pioneering research not only showcases the transformative potential of IoT-driven energy management systems but also sets the stage for a sustainable and interconnected future.

IMPROVING LEARNERS' ENGLISH WRITING SKILLS THROUGH DIGITAL TECHNOLOGY AND PROJECT-BASED LEARNING

Nyayu Yayu Suryani, Syamsul Rizal, Tri Rohani, Herin Ratnaningsih — Fri, 10 May 2024 00:00:00 +0700

This groundbreaking research endeavors to elevate participants' learning competence through the innovative integration of digital technology as a pedagogical medium. Pioneering a novel approach, this study seeks to gauge the efficacy of digital-based technology in enhancing English writing proficiency and participants' perceptions of its utility on the Storyboard That platform. Adopting a quantitative methodology, data is meticulously collected from experimental and control groups comprising nursing participants. Leveraging a synergistic blend of digital technology and project-based learning (PjBL), the research yields noteworthy gains in both knowledge and attitudes, with N-gain scores of 0.53 and 0.52, respectively. While initial trial results place competence and integration in the medium category, there exists a compelling imperative for further refinement and enhancement. The findings underscore the transformative potential of digital technology in augmenting writing skills and platform utilization, laying the groundwork for future innovations in English language education. By advocating for the seamless integration of digital tools like Storyboard That into the curriculum, this research not only fosters creativity and proficiency in English writing but also cultivates a dynamic learning environment conducive to holistic skill development. Ultimately, this study serves as a clarion call for educators to embrace the transformative power of digital technology in fostering English language proficiency and nurturing a generation of digitally literate and proficient learners poised to thrive in an increasingly interconnected world.

TECHNOLOGY INTEGRATION IN PHILIPPINE HIGHER EDUCATION: A CONTENT-BASED BIBLIOMETRIC ANALYSIS

Tue, 14 May 2024 00:00:00 +0700

The penetration of technological advancements into higher education institutions is a multifaceted phenomenon influenced by diverse considerations. This paper breaks new ground by conducting a content-based bibliometric analysis of technology integration within Philippine Higher Education Institutions (HEIs). Employing a systematic five-step approach, the study meticulously navigates the bibliometric landscape, encompassing database identification, scope determination, article refinement, compilation, and analysis. A corpus of 61 articles sourced from the Google Scholar database spanning the period from 2012 to 2022 constitutes the focal point of bibliometric scrutiny. Delving into the thematic analysis, the study unveils a rich tapestry of insights encapsulated in five overarching themes: Technology, Industrial Revolution 4.0, and Education 4.0; Higher Education and Digital Technology; Educational Philosophies in the New Normal Higher Education Setting; Transformation of Technology Education in Higher Education and the Academics; and Higher Education, Technology, and the Learners. The findings underscore the imperative of aligning educational paradigms with the imperatives of Industrial Revolution 4.0, offering a blueprint for navigating the new normal in higher education. By elucidating the intricate interplay between technology and pedagogy, this research not only enriches scholarly discourse but also provides practical insights for HEIs seeking to embrace technological innovation in fostering academic excellence and resilience amidst evolving educational landscapes.

DISTANCE E-LEARNING AND ITS IMPACT ON UNIVERSITY EDUCATION OUTCOMES FROM THE STUDENTS’ POINT OF VIEW

Tue, 14 May 2024 00:00:00 +0700

This pioneering study aimed to unravel the nuanced impact of distance e-learning on the outcomes of university education, specifically gauging the perspectives of Jordanian university students while considering the variables of gender and academic year. Employing a multifaceted methodology, the research adopted a descriptive approach augmented by an electronically distributed questionnaire, meticulously tailored to assess students' perceptions. A diverse cohort of 1,000 male and female students, selected through a rigorous random sampling method, participated in the study during the inaugural semester of the 2023/2024 academic year. Results unveiled a strikingly high perceived impact of distance e-learning on university education outcomes, with an average score of 3.70 and a standard deviation of 0.62, indicative of a robust consensus among students. Intriguingly, while concerns regarding the negatives of e-learning dominated discourse, the positives of distance education also garnered substantial recognition, albeit ranking slightly lower. Furthermore, the field of outcomes of distance e-learning emerged with a moderate degree of impact, underscoring the multifaceted nature of its influence. Notably, statistical analysis revealed no discernible differences in perceptions across gender or academic year cohorts, suggesting a uniform perspective on the efficacy of distance e-learning among Jordanian university students. These findings not only enrich scholarly discourse but also offer valuable insights for educational policymakers and practitioners seeking to optimize the integration of e-learning modalities in university settings.

MARKETING ANALYTICS IN THE ERA OF DIGITAL-BASED MARKETING STRATEGY

Tue, 14 May 2024 00:00:00 +0700

This groundbreaking study delves into the intricate realm of digital marketing analysis, which entails the systematic collection and scrutiny of data pertaining to digital marketing endeavors. With a novel focus on elucidating the economic ramifications of digital marketing on sales augmentation, the research employs an innovative approach. Leveraging an exhaustive literature review drawn from national and international journals, the study illuminates the transformative impact of digital marketing, particularly in the context of burgeoning online markets. Employing the PRISMA methodological framework, researchers meticulously navigated through the identification, screening, feasibility, and finalization phases to distill a comprehensive understanding of the topic's scope. With a laser focus on "Marketing Analytics," the study hones in on publications resonating with this thematic emphasis, culminating in the identification of 330 pertinent publications devoid of duplicates. Delving deeper into the findings, the study unveils a notable surge in sales success amidst the Covid-19 era, underscoring the pivotal role of digital marketing in navigating unprecedented market dynamics. Furthermore, the research uncovers a nuanced interplay between various elements of the e-marketing mix e-product, e-price, and e-promotion and their influence on e-trust, offering valuable insights into consumer behavior in digital marketplaces. As the study draws to a close, it advocates for a visionary paradigm shift in digital marketing strategies, emphasizing the imperative of enhancing customer engagement and trust-building initiatives. Ultimately, the research underscores the indispensability of digital marketing in contemporary business landscapes, reaffirming its efficacy in fostering consumer engagement, driving sales, and nurturing enduring brand-consumer relationships.