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The Scientific Journal of Information Systems
Published by Universitas Utpadaka Swastika
ISSN : -     EISSN : 3046711X     DOI : 10.70429
Core Subject : Science, Social,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science
The Scientific Journal of Information Systems (JISI) aims to provide scientific literature specifically on studies of applied research in information systems (IS) and a public review of the development of theory, methods, and applied sciences related to the subject. The journal facilitates not only local researchers but also international researchers to publish their works exclusively in English.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 25 Documents
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OPTIMIZATION OF GYM CHECK IN AND MEMBERSHIP INFORMATION SYSTEM QR CODE SCANNER BASED Badriah, Nurul; Veri Shandy, Sony
Scientific Journal of Information System Vol. 2 No. 2 (2024): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v2i2.131

Abstract

The development of information technology provides opportunities to improve operational efficiency in various fields, including membership management at gyms. A QR code scanner-based information system is an effective solution for managing gym member check in. Users can check in simply by scanning a QR code that is linked to their membership data. This system not only facilitates the attendance process but also helps managers monitor the number of member check in, remaining attendance quota, and attendance time. This researcaims to design and implement a QR code scanner-based check in system at the gym, as well as analyze the impact of the system on operational efficiency.
THE EFFECT OF ADOPTING KNOWLEDGE MANAGEMENT SYSTEM ON EMPLOYEE PERFORMANCE Fajar Muttaqi
Scientific Journal of Information System Vol. 2 No. 2 (2024): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v2i2.141

Abstract

There has been a shift in the needs of people and organizations that were originally material needs, now they are information needs. Especially the current workers, showing that 70% of workers there are knowledge workers and make knowledge the most useful resource at present. This study uses a quantitative approach with knowledge management independent variables consisting of people, knowledge sharing and technology and the dependent variable, namely employee performance. Sample was done by random sampling methods and sampling proportional technique, and the total sample produced was 70 people. The test uses validity, reliability and data analysis tests using ANOVA.
WEB BASED INTERNAL QUALITY MANAGEMENT INFORMATION SYSTEM A DESIGN AND PROTOTYPING Yato, Dhimas Buing Rindi Widra; Hidayat, Zulham
Scientific Journal of Information System Vol. 2 No. 2 (2024): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v2i2.142

Abstract

Improving the quality of education in higher education institutions is crucial to support the development of human resources and the progress of the nation. Utpadaka Swastika University, as one of the higher education institutions in Indonesia, is committed to producing high-quality and competitive graduates. To ensure this quality, an effective and efficient internal quality assurance system (SPMI) is necessary. This research aims to design and build an internal quality assurance system based on the web using PHP and MySQL at Utpadaka Swastika University with the prototyping method. Software testing is conducted through Black Box Testing. This internal quality assurance system aims to ensure the quality of higher education provided by universities through the implementation of the Tridharma of Higher Education, in order to realize the vision and meet the needs of stakeholders. The achievement of quality assurance goals through the internal quality assurance system will be accredited through external quality assurance systems. This system can assist in presenting document information accessible to program heads, leaders, auditors, administrators, and quality assurance body (LPM) leaders. It facilitates program heads in the process of collecting and submitting documents for evaluation and audit instruments, allowing the LPM to directly identify issues and quality standards in the internal quality assurance process. This system is expected to be used as a reference for further development of an Internal Quality Assurance System so that the system can have better features.
DETECT CLASSIFICATION OF EMPLOYEES TENDING TO MOVE WORK WITH THE NAIVE BAYES ALGORITHM Lukas Umbu Zogara
Scientific Journal of Information System Vol. 2 No. 2 (2024): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v2i2.143

Abstract

In recent years due to economic conditions and the uncertain situation of a country, many employees with a certain level of education, work experience and different countries in development and the level of income per capita of a country and several other factors cause many employees to move to a new place. the. Because there are many factors that cause employees to move careers and advances in information technology also make it difficult to predict what factors affect decision-making employees to move to work to new places. Therefore, it is necessary to know what factors and conditions or what are the employees so that they have a tendency to move to work so that the company can prevent, anticipate and immediately seek other solutions early if this condition must occur from its employees. Based on the problems described, this study discusses the classification of employees who have a tendency to change workplaces using the Naive Bayes algorithm. The goal is expected to identify the dominant factors in influencing employees to change workplaces. From the results of the research conducted by Naive Bayes, it was found that 3 dominant factors were influencing, namely the STEM area of expertise, the size of the company size and the level of education as well as the accuracy level of 80.79% and AUC 0.816.
UTILIZING LED USAGE ON FORTIMANAGER DEVICE AS A SOFTWARE MONITORING INDICATOR FOR FORTINET ACCESS POINTS Alfaujianto, Moh
Scientific Journal of Information System Vol. 2 No. 2 (2024): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v2i2.145

Abstract

In today's digital era, stable connectivity and fast troubleshooting are crucial to support corporate, academic, and research activities. One important component in network infrastructure is the access point (AP) which functions to provide a wireless connection. With the large number of Access Points (AP) provided by campuses or offices, it is required to be easy to monitor and troubleshoot all Access Point (AP) devices. Fortigate, as a solution provider, offers access point and switch monitoring features using LED Usage. This study aims to explain how access point monitoring can be implemented effectively through the FortiManager device and is important to ensure that network devices are functioning properly. FortiManager devices can monitor switches that are connected with active or inactive status, how many active access points are on each switch are monitored, all of which clients are connected to the network can be monitored. Thus, FortiManager devices are very much needed by administrators and network technical teams to facilitate monitoring and troubleshooting.
THE ROLE OF GREEN IT ON ENHANCING ENERGY EFFICIENCY IN ORGANIZATIONS Fajar Muttaqi; Nurul Badriah; Moh. Alfaujianto; Asep Surahmat
Scientific Journal of Information System Vol. 3 No. 1 (2025): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v3i1.169

Abstract

Green IT is a cutting-edge information technology strategy designed to lessen the negative environmental effects of using IT infrastructure and devices. This study uses a qualitative methodology to investigate how Green IT is being adopted in different enterprises, emphasizing its advantages, difficulties, and practical implementation techniques. Document analysis and literature reviews from a range of sources pertaining to the adoption of green IT were used to gather data. According to the research, companies who use green IT see improvements in operational sustainability, lower carbon emissions, and increased energy efficiency. However, there are a number of significant obstacles to its adoption, including high upfront expenditures, ignorance, and reluctance to adopt new technologies. This report also emphasizes how crucial laws and rules are to encouraging the use of green IT. The study's conclusion highlights how putting Green IT into practice helps build a more sustainable and ecologically friendly technology ecosystem. As a result, companies must create all-encompassing plans for implementing Green IT, which should include purchasing energy-efficient equipment and increasing organizational understanding. This study helps policymakers, practitioners, and scholars better understand and support the future adoption of green IT.
OPTIMIZATION OF INDOMARET'S BUSINESS STRATEGY IN JAKARTA THROUGH DATA MINING AND INFORMATION SYSTEM TECHNOLOGY Mohamad, Daffa Rafi Aldin; Alfaujianto, Moh; Kudmas, Mikhael; Muttaqi, Fajar; Lahagu, David
Scientific Journal of Information System Vol. 3 No. 1 (2025): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v3i1.170

Abstract

This study aims to analyze the number of Indomaret outlets in Jakarta by utilizing informationsystems technology and data mining techniques. Using quantitative data from 500 Indomaretlocations, the analysis was conducted to identify distribution patterns and the factors influencingoutlet growth. Clustering and linear regression methods were employed to evaluate the relationshipbetween the number of outlets and demographic and economic variables, such as population density,per capita income, and distance from the city center. The analysis results indicate a significantrelationship between population density and the number of Indomaret outlets, with a regressioncoefficient of 0.75 (p < 0.01), meaning that every increase of 1,000 people in population density isassociated with the addition of 3 Indomaret outlets. Clustering analysis also identified three strategiclocation groups with high growth potential. The main contribution of this research lies in integratingdata mining methods with spatial analysis to understand modern retail expansion in urban areas—anapproach that is still rarely explored in previous studies. These findings not only enrich the literatureon data-driven retail location analysis but also provide practical insights for industry players informulating data-based expansion strategies. This research offers valuable insights for Indomaret’smanagement in making strategic decisions regarding expansion and store placement, demonstratingthat the use of information systems and data mining is effective in supporting quantitative analysisfor business development in the retail sector.
HOW TECHNOLOGY AFFECTING RESEARCHERS IN THE ERA OF GENERATIVE AI Yato, Dhimas Buing Rindi Widra; Zogara, Lukas Umbu; Suharmat, Asep
Scientific Journal of Information System Vol. 3 No. 1 (2025): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v3i1.175

Abstract

In the rapidly evolving research landscape, generative AI is emerging as a transformative force. This study explores the multifaceted impacts of generative AI on researchers across various disciplines. By automating routine tasks, enhancing data analysis, and generating novel hypotheses, AI tools are significantly boosting productivity and opening new avenues for innovation. However, these advancements also present challenges, including ethical considerations, the need for transparency, and the potential for bias in AI-generated results. Moreover, the integration of AI into research demands the development of new skill sets, presenting both opportunities and risks for researchers. Drawing on recent studies, this article provides a comprehensive overview of how generative AI is reshaping the research landscape and highlights the critical dynamics researchers must navigate in this new era.
APPLICATION OF DATA MINING TECHNIQUES TO ANALYZE ATTENDANCE AND IMPROVE THE QUALITY OF CHINESE LEARNING Grace Limiko; Pupista, Orinda; Surahmat, Asep; Umbu Zogara, Lukas
Scientific Journal of Information System Vol. 3 No. 1 (2025): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v3i1.176

Abstract

In the era of globalization, learning Chinese is increasingly important, but challenges such as low student attendance and learning quality are still significant problems. This article discusses the application of data mining techniques as a solution to analyze student attendance and improve the quality of Chinese learning. By collecting and analyzing attendance data from 200 students for one semester, through classification and visualization methods, this article identifies patterns that affect student attendance. The analysis results show that 65% of students who followed the interactive teaching method attended more than 80% of the total meetings, compared to only 40% of students who followed the traditional teaching method. In addition, it was found that 75% of students who received additional material for difficult topics experienced a 20% increase in average test scores compared to pre-intervention scores. Recommendations for improvement were made based on these findings, including adaptation of teaching methods and provision of supplementary materials. Through a case study of an educational institution that has successfully implemented this technique, this article shows that data mining can not only improve student attendance, but also significantly improve the quality of learning. This research is expected to encourage educational institutions to adopt data mining technology in an effort to improve students' learning experience.
A COMPARATIVE REVIEW OF CLUSTERING AND CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYTICS Zogara, Lukas Umbu; Ningrum, Leny
Scientific Journal of Information System Vol. 3 No. 1 (2025): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v3i1.179

Abstract

These days, there's so much data being created all the time. It’s honestly getting hard to keep up.That’s where data mining comes in. Basically, people use it to make sense of all this huge amount ofinformation, and there are two main ways to do it: clustering and classification. I found that there area bunch of algorithms for both, like K-Means, DBSCAN, and Hierarchical Clustering for clustering,and then there’s Decision Tree, Naïve Bayes, SVM, and Random Forest for classification. Each ofthese has its own strengths and weaknesses depending on the data you’re working with. The point ofthis paper was really to see how these algorithms perform and to give people an idea of which onemight work best depending on the situation. What we found is that no algorithm is perfect foreverything. So, choosing the right one really comes down to understanding the data and figuring outwhat you're trying to get out of it.

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