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JUSS (Jurnal Sains dan Sistem Informasi)
Published by Universitas Jambi
ISSN : -     EISSN : 26148277     DOI : https://doi.org/10.22437/juss
Core Subject :
JUSS covers a broad range of topics in Information Systems and Computer Science, including but not limited to the following areas: 01. Software Engineering 02. Decision Support Systems 03. Information Systems Security 04. Artificial Intelligence 05. Data Analytics and Visualization 06. Data Science 07. Information Technology Adoption 08. Information Technology Governance
Arjuna Subject : -
Articles 91 Documents
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Analisis Jumlah Penyewaan Kamar Hotel Menggunakan Pentaho BI Berbasis Data Warehouse: ( Studi Kasus Hotel Grand Santhi ) Pratama, I Putu Agus Eka; Antara, I Made Gede Sunia Pradnyantara
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 3 No. 1 (2020): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v3i1.8139

Abstract

Analysis is one of the most important things done for companies to conduct performance evaluations in order to know the strengths and weaknesses contained in a company. Therefore, this study aims to make a report on the rental of hotel rooms for a month that is useful in determining the promotion of equal distribution of all types of hotel room lodging in a case study at the Grand Santhi Hotel located in Kota Denpasar, Bali. The solution of the existing problem is to use open source Pentaho BI to create reports that simplify analysis. The data will be created in a multi-dimensional design to facilitate the application of data warehouse design and system design that has been created.
ANALISIS DAN PERANCANGAN DATA WAREHOUSE PADA PERUSAHAAN TRAVEL TRANS CITRA BALI Pratiwi, Citra
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 6 No. 2 (2023): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v6i2.8141

Abstract

The development of technology is now more advanced. The development of increasingly advanced technology can help many things that are useful to humans, for example can help to predict something, so humans can prepare everything according to predictions. The development of technology that can help answer these problems is data warehouse. Data warehouse is a system that works by extracting, managing, adjusting, and sending data sources into dimensional data storage. Therefore, this data warehouse system can help predict with the analysis process, so humans can find out historical data from a company. In this study, the company that will be analyzed is Trans Citra Bali Travel Company. With the existence of historical data, it can be seen what transactions are most carried out on travel company. Therefore, it can be predicted that the month with the most transactions, so it can arrange and prepare what car is needed in each month.
ANALISIS PENINGKATAN PENDAPATAN MENGGUNAKAN PENTAHO BI BERBASIS DATA WAREHOUSE (STUDI KASUS DI SUNSET EVENUE) Artana; Eka.pratama
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 6 No. 2 (2023): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v6i2.8143

Abstract

Analysis of increasing income is the main requirement thing to do for company evaluation, both in terms of marketing and employee performance, this study aims to make a monthly income increase report in the Sunset Evenue case study in Badung Regency which still uses manual methods to control the increase of monthly income. The solution to the existing problem is to use open source Pentaho BI to create the reports for easier analyze. Two-dimensional data will be made multi-dimensional design to facilitate the application of data warehouse design and system design that has been made.
DESAIN IMPLEMENTASI DATA WAREHOUSE DATA PENGGUNA NARKOBA BADAN NARKOTIKA NASIONAL PROVINSI BALI Riskiyanti, Zuraida Malini Cantika Riskiyanti
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 6 No. 2 (2023): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v6i2.8144

Abstract

Information Technology is growing rapidly from time to time. One example of the many developments in information technology is the implementation of a data warehouse. The data warehouse is a mutually reacting database that can be used for queries and analysis, subject-oriented, integrated, time-variant, unchanging that is used to help decision-makers. The Bali National Narcotics Agency Office needs to implement a data warehouse to manage data that will be reported regularly. Data warehouse implementation in the Office of the National Narcotics Agency of Bali Province requires supporting technologies such as Data Warehouse, OLTP (Online Transaction Processing), OLAP (Online Analytical Processing), ETL (Extract Transform Loading), Cloud Computing. The implementation of the data warehouse is expected to help employees, especially staff who manage data on drug users periodically, the Office of the National Narcotics Agency of Bali Province to maximize data processing accurately and on time.
Rancangan Desain Data Warehouse Kunjungan Wisatawan Ke Bali Baw Tour & Travel Sari, Ratna; Pratama, I Putu Agus Eka
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 3 No. 1 (2020): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v3i1.8146

Abstract

This business development in the globalized era provoked fierce competition especially with the application of it to support his daily process especially in data management, therefore, the BAW Tour & Travel needs a system for data processing so that data can be stored and integrated with each other or what's called data warehouse and followed by other regulatory ETL, OLAP methods in analysis and quick decision-making. Using the data warehouse can figure out a spike in visitors' visits so it can predict people to be able to predict the number of guides during a month in case there's a spike that reduces anyone's denial of acceptance on the grounds of lack of a guide and to booked a motel because it's already full.
Perancangan Data Warehouse Untuk Prediksi Penjualan Pada Orba Express Menggunakan Pentaho Pratama, I Putu Agus Eka; Widhiasih, Ni Putu Nirmala Dewi
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 3 No. 2 (2020): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v3i2.8147

Abstract

The Data Warehouse is a large data Storage facility or something called a Data Warehouse. The human work that requires so much data makes it harder to do it by hand. Such large amounts of data then hinder one from managing the data and predicting the products that are so popular by consumers that they decide to store them in the Data Warehouse. The Data Warehouse is the solution to the problem to predict a sale of a product. The Data Warehouse is a system that can extract, clean, adapt, and send a source of data into a data Storage or Data Warehouse which then implement through tools Pentaho in order to be able to analyze data. The purpose of the Data Warehouse design was to be able to mitigate shop owners' efforts on decision-making, like deciding what products sell to stock stores so they can reduce the stores' built-up. Keywords: Data Warehouse, Storage, Pentaho.
Rancang Bangun Sistem Informasi Penjualan Obat di Apotek Era Medika Berbasis Website Putra, I Gede Feby Dian Pramana; Juliharta, I Gede Putu Krisna; Paramitha , Anak Agung Istri Ita
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 2 No. 2 (2019): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v2i2.8360

Abstract

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.
Korelasi Antara Fixation Eye Tracking Metric dengan Performance Measurement Usability Testing Purnomo, Yogie Ajie; Suratno, Tri; Mauladi, Mauladi
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 2 No. 2 (2019): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v2i2.8409

Abstract

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.
Prediksi Indeks Harga Saham Gabungan (IHSG) Menggunakan Algoritma Autoregressive Integrated Moving Average (ARIMA) Khaira, Ulfa; Utomo, Pradita Eko Prasetyo; Suratno, Tri; Gulo, Pikir Claudia Septiani
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 2 No. 2 (2019): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v2i2.8449

Abstract

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.
Analisis Sentimen Online Review Pengguna Bukalapak Menggunakan Metode Algoritma TF-IDF Utomo, Pradita Eko Prasetyo; Manaar, Manaar; Khaira, Ulfa; Suratno, Tri
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 2 No. 2 (2019): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v2i2.8469

Abstract

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%.

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