JUSS (Jurnal Sains dan Sistem Informasi)

Rancang Bangun Sistem Informasi Penjualan Obat di Apotek Era Medika Berbasis Website

I Gede Feby Dian Pramana Putra — 2021-11-05

Handling data by doing this manually has a number of obstacles at the Era Medika Pharmacy, including causing errors in checking drug stock once a week, inaccurate recording of incoming or outgoing drug stocks so that there is a mistake in recording the final stock, as well as the results of sales reports use paper. To overcome this problem the drug sales information system is a solution to the drug sales process, and uses the Click to Chat API Whatsapp to facilitate sending messages to drug suppliers. To obtain the data needed during the study, the author uses several method including: interviews, observation, and literature studies. The data obtained then analyzes using the Waterfall method. The results of this study conducted on testing sales applications that have been designed can help to facilitate managers in the sales process that can be accessed online so that it can work effectively and efficiently. With the Click to Chat feature Whatsapp can facilitate messages to drug suppliers according to the contact you want to reach. The results of this study are expected to be useful in the future.

Prediksi Indeks Harga Saham Gabungan (IHSG) Menggunakan Algoritma Autoregressive Integrated Moving Average (ARIMA)

Ulfa Khaira — 2021-11-05

There are various types of investment in Indonesia, one of which is the Indeks Harga Saham Gabungan (IHSG) or in English it is called the Indonesia Composite Index, ICI, or IDX Composite. IHSG is an important parameter to consider when making an investment considering that IHSG is a joint stock. This study aims to predict the price of the IHSG with data mining techniques using an algorithm that can be used as a reference for investors when making an investment. ARIMA is a model for generating estimates from historical data. Data in this study were collected from the monthly IHSG from January 4, 2010 - November 26, 2019. Based on the correlation plot, two autocorrelations (lag 1, lag 32) were found to be significant. This model can predict with an average percentage error of 0.004 so that this prediction is considered good enough to predict the stock price of the IHSG.

Optimasi Radius Server untuk Pengaturan Alokasi Bandwidth pada Jaringan Hotspot

I Gede Bagus Premana Putra — 2021-11-05

Hotspot is one form of utilizing Wireless LAN technology that can be used to access internet services and is usually found in public areas such as libraries, campus internet parks, or offices. Aspects that need to be considered in hotspots to make users feel comfortable is security then at the provider side, the aspect that needs to be considered is the regulation of bandwidth allocation to optimize the data transfer speeds that the network and to prevent the possibility of dense network traffic. RADIUS server is one type of server that can be used at hotspots to secure hotspots because it supports various types of encryption. In this study, optimization of the settings for hotspot network bandwidth is optimized by integrating the RADIUS server with RouterOS. Bandwidth allocation management is done by determining the active time of a user account and set quotas hotspot uploads and downloads for the account. The results obtained from this study indicate that when a hotspot user account has passed the active time or has passed the upload quota and the download given, the account will be deleted from the list of hotspot user accounts or disabled.

Korelasi Antara Fixation Eye Tracking Metric dengan Performance Measurement Usability Testing

Yogie Ajie Purnomo — 2021-11-05

Not all websites have fulfilled basic principles such as accessible and easy to use (usable). There are several measuring methods that already exist. In this research, the measurement is done by combining 2 measuring methods namely usability testing and eye tracking because the measurement is done with props that are eye tracking, so that at the same time we can measure the indicator usability testing and eye tracking metrics. So researchers to know the level of relationship or correlation between usability testing indicators and eye tracking metrics. The type of research conducted is a type of associative research with quantitative and qualitative approaches. Where both of these methods will result in quantitative data such as time on task, difficulty ratings, fixation duration mean and time to first fixation. Qualitative Data is obtained from playing the recorded results and conducting interviews to examine the results of eye movements when testing is the same as the opinions or perceptions of each participant. Results of a correlation test Pearson product moment acquired correlation or relationship between time on task with fixation duration mean, time on task with time to first fixation, difficulty ratings with fixation duration mean, difficulty ratings with time to First fixation. There are two possibilities of usability measurement performance indicators with eye tracking proving a significant correlation means measurement of usability using eye tracking can be used as an alternative in doing more usability measurement Accurate with significance levels > 2.048 in subsequent studies.

Analisis Sentimen Online Review Pengguna Bukalapak Menggunakan Metode Algoritma TF-IDF

Pradita Eko Prasetyo Utomo — 2021-11-05

Bukalapak is one of the Customer-To Customer (C2C) e-commerce models. This model is the most widely applied and found on e-commerce sites in Indonesia. The Customer-To Customer (C2C) market is currently still dominant in Indonesia's online retail market. Data collected from Euromonitor estimates that the C2C market contributed 3% of the retail market in Indonesia in 2017, while the B2C market contributed 1.7%. One text mining analysis is that sentiment analysis can be applied to companies that issue a product or service and provide services to receive opinions (feedback) from consumers for the product. Sentiment analysis is applied to classify positive, negative, and neutral feedback from consumers so as to speed up and simplify the company's task to review their product deficiencies. The researcher conducted further analysis on Bukalapak user reviews to find out how user comments or opinions were on Bukalapak using the TF-IDF Algorithm method. And it can be concluded that based on customer review reviews in Bukalapak have a good rating or perception of this Vans shoe product. Can be seen from the results of Sentiments, Sentiment Visualization and WordCloud Visualization which shows that positive reviews have a higher frequency of 70%.