Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

Journal of Information System and Artificial Intelligence

jisai
Website

Published by Universitas Mercu Buana Yogyakarta

ISSN : - EISSN : 27976777 DOI : https://doi.org/10.26486/jisai.v7i2.330

Core Subject : Science, Engineering,

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Journal of Information System and Artificial Intelligence (JISAI) diterbitkan oleh Program Studi Sistem Informasi, Fakultas Teknologi Informasi Universitas Mercu Buana Yogyakarta. JISAI memuat naskah hasil-hasil penelitian dibidang Sistem Informasi, Teknologi Informasi dan Sistem Komputer. JISAI berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama par akademisi, peneliti dan praktisi dalam bidang Sistem Informasi, Teknologi Informasi dan Ilmu Komputer. Ruang Lingkup (Scope) Jurnal JISAI adalah : Data Mining E-Business / E-Commerce E-Government E-Health Enterprise Architecture Design and Management Geographic Information System (GIS) Human-Computer Interaction Human-Computer Behavior Information Security and Risk Management IS / IT Operation Management IS / IT Organization & Human Resource Management IS / IT Strategic Planning IT Governance IT Project Management Social Media in Business Big Data Research New Technology Acceptance and Diffusion Green Information System Smart City Smart Cloud Technology Web Science Information Management Information Assurance and Security Platform-based Development Parallel and Distributed Computing Software Engineering Computational Science Artificial Intelligent Decision Support System Data science Supply chain management (SCM)

Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)

Articles 115 Documents

8 9 10 11 12

Analysis Of The BPBD Website Of South Sumatra Province Using The Pieces Method eka puji agustini
Journal of Information System and Artificial Intelligence Vol. 6 No. 2 (2026): Vol.6 No. 2 (2026): Journal of Information System and Artificial Intelligence V
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v7i2.295

The rapid development of information technology has made it easier for people to access various information through the internet. Websites are one of the most effective media in disseminating information to the public. The Regional Disaster Management Agency (BPBD) of South Sumatra Province already has a website that provides various information related to disasters, organizational structure, public services, and publication of activities. However, since the beginning of its creation, the website has not been visited many times and has never been analyzed on its performance. This study aims to analyze the performance of the BPBD website of South Sumatra Province using the PIECES (Performance, Information, Economics, Control, Efficiency, and Service) method. The results of the analysis show that from the Performance aspect, the website obtained a grade C score on Google PageSpeed Insight and a grade D on Pingdom; the Information aspect shows a scale value of 3 (good); the Economics aspect is considered efficient due to low maintenance costs; the Control aspect obtained a grade C on the Sucuri Sitecheck and a grade D on the Observatory; the Efficiency aspect shows quite good results; while the Service aspect is considered quite good but still needs improvement in the presentation of information to the public. Overall, the South Sumatra Province BPBD website functions quite well but still needs optimization in its performance and service quality so that it can become a more effective disaster information medium.

Book Recommendation System Using Similarity-Based Collaborative Filtering Approach Uswatun Hasanah
Journal of Information System and Artificial Intelligence Vol. 6 No. 2 (2026): Vol.6 No. 2 (2026): Journal of Information System and Artificial Intelligence V
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v7i2.297

This study implements and compares the performance of three primary approaches to book recommendation systems: rank-based methods, similarity-based collaborative filtering (both user-user and item-item), and matrix factorization-based collaborative filtering. The dataset comprises 433,671 user ratings from 78,805 users on 185,973 books, enriched with book metadata such as title, author, publication year, and publisher. The recommendation systems were developed using the Surprise library, with hyperparameter optimization performed via grid search cross-validation. Model performance was evaluated using precision@k, recall@k, and F1-score metrics, as well as RMSE for prediction accuracy. Results indicate that the user-user similarity-based collaborative filtering model achieved the best performance in terms of relevance, attaining an F1-score of 0.86. This model effectively identifies users with similar preferences and recommends books based on collective behavior patterns. Meanwhile, the matrix factorization approach yielded the lowest RMSE value of 1.50, highlighting its strength in capturing latent factors that influence user preferences. The item-item similarity model also showed reasonable performance but did not surpass the other approaches, possibly due to homogeneity in item rating patterns across users. Overall, the study confirms that user-user similarity is highly effective for datasets exhibiting consistent user behavior, while matrix factorization excels in minimizing prediction error by leveraging latent feature structures. These findings offer valuable insights for developing adaptive recommendation systems in book-centric literacy platforms and content-driven e-commerce applications.

Optimization of the K-Means Algorithm Using PCA Dimensionality Reduction for E-Commerce Customer Segmentation Mahara Bengi; Syarifah Atika; Chici Rizka Gunawan; Chica Rizka Gunawan
Journal of Information System and Artificial Intelligence Vol. 6 No. 2 (2026): Vol.6 No. 2 (2026): Journal of Information System and Artificial Intelligence V
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v7i2.306

The rapid growth of the e-commerce industry in recent years has generated increasingly large and complex volumes of customer data. This data holds strategic potential to be analyzed in order to understand customer behavior patterns and to support data-driven decision-making. This study aims to identify customer segmentation through an unsupervised learning approach using Principal Component Analysis (PCA) and the K-Means algorithm. The dataset used in this research demonstrates good quality with no missing values, making it suitable for further analysis. Initial exploratory findings indicate that Total Spending, Number of Items Purchased, and Average Rating are the most significant variables in representing customer characteristics. The application of PCA successfully reduced data dimensionality while retaining 79.41% of the total variance, thus producing a more concise representation without compromising essential information. The clustering process using K-Means grouped customers into three clearly distinguishable clusters. The first cluster represents customers with high activity levels, the second cluster reflects customers with moderate activity, and the third cluster corresponds to customers with lower engagement intensity. Validation using the Elbow Method and Silhouette Score confirmed that k = 3 is the most optimal number of clusters. Cluster visualizations show strong separation between groups and consistent relationships among variables. This study demonstrates that the combination of PCA and K-Means is effective in producing informative and interpretable customer segmentation. These findings provide a foundation for subsequent analyses and support data-driven decision-making in e-commerce customer management.

Evaluation of 32 mm Automatic Hair Curlers on Shopee Using AHP Customer Reviews Alya Esa Mentari; Ari Muzakir
Journal of Information System and Artificial Intelligence Vol. 6 No. 2 (2026): Vol.6 No. 2 (2026): Journal of Information System and Artificial Intelligence V
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v7i2.315

Abstract This study aimed to evaluate 32 mm automatic hair curler products available on the Shopee e-commerce platform by applying the Analytic Hierarchy Process (AHP) combined with customer review analysis. The data were obtained through direct observation of three products with similar characteristics. The collected data included product ratings, number of reviews, star-based review distribution, sales volume, and price. Sentiment analysis was conducted by categorizing customer reviews into positive, neutral, and negative groups based on their star distribution. The AHP method was used to determine the priority weights of each evaluation criterion. The results showed that sales volume was the most influential criterion in the decision-making process, followed by product ratings and the number of reviews. The final AHP score revealed that the MAIMEITE product achieved the highest value, making it the most recommended option. This study demonstrated that integrating AHP with customer review analysis provided an objective, systematic, and data-driven approach to product evaluation.

Mobile Financial Management Application at Yanto Pulsa Using Flutter Naufal latiful Hakim; Ike Yunia Pasa
Journal of Information System and Artificial Intelligence Vol. 6 No. 2 (2026): Vol.6 No. 2 (2026): Journal of Information System and Artificial Intelligence V
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v7i2.330

The utilization of digital technology in financial management has become an important need for micro, small, and medium enterprises (MSMEs) to improve recording accuracy and facilitate financial monitoring. However, many MSMEs still rely on manual financial recording, which may lead to recording errors and difficulties in data management. This study aimed to develop a mobile-based financial recording application as a solution for financial management at Yanto Pulsa. The system was developed using the Waterfall method, which consisted of requirement analysis, system design, application development, and testing stages. The application was built using the Flutter framework with Firebase as the backend and Cloud Firestore as the database. The results showed that the application was able to record income and expense data in real-time, present financial summaries, and support effective data management and backup. Black-box Testing results indicated that all application functions operated according to user requirements.

Audit Sistem Informasi Pada PT. Alga Rosan Nusantara Menggunakan COBIT 4.1 Domain Ds (Deliver & Support) Citra Liza Tifania; Brilliant Vergie S; Siti Mukaromah
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.87

One field that is growing very rapidly is information technology (IT) or information systems (IS). Develop significant exploration and production impacts for each company. All companies want to increase company profits and compete to satisfy whatever consumers want. Information system implementation is carried out to support the process of this business activity. PT also does the same thing. Alga Rosan Nusantara, which has been researching anti-aging degenerative diseases since 2014, is a distributor of traditional online systems (non MLM) that sells healthy anti-aging foods and helps with treatment. The audit was conducted to analyze the awareness of the information integrity of the millet data system used. The audit uses the COBIT 4.1 framework. The domain used is Delivery Service (DS) because this domain is designed with an operational and data management framework. The purpose of this study is to obtain audit results as input data for improving the company's current management system. The results of the study concluded that the information system contained in PT. Alga Rosan Nusantara still has IT governance gap

Analisis Adopsi Inovasi Teknologi Informasi Menggunakan Innovation Diffusion Theory (IDT) Pada Aplikasi TaniHub di Wilayah Surabaya Ibrahim; Pratama Puji Ariyanto; Cready Celgie Gildbransen; Primandika Hakiki; Saktian Purborini
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.93

TaniHub is a form of information technology development, especially in agriculture. TaniHub allows farmers to sell their crops directly to consumers without going through distributors first, which is one of the advantages for farmers to get more profits than through distributors. However, in its implementation, of course, it does not only produce benefits. There is one problem that is the impact of the adoption of the TaniHub application, namely, traders in traditional markets will potentially experience a decrease in sales and income because consumers can now order directly from farmers without having to buy through traditional markets. The purpose of this study was to analyze the adoption of information technology for the TaniHub application in the Surabaya area using the Innovation Diffusion Theory measuring instrument. In this study, there were as many as 100 research samples or respondents who were obtained online and used the Partial Least Square (PLS) analysis technique. With the results obtained in this study, it is hoped that it can provide an overview of the adoption of the TaniHub application in the Surabaya area, and can encourage other researchers to examine the adoption of TaniHub from a different perspective.

Evaluasi Sistem Elhamzah Shafira Tour And Travel Cabang Jember Menggunakan COBIT 4.1 Ardina Sagita Ramadhani Ardina; Firdaus Akmal Fauzan
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.96

The Elhamzah system is a system used by all Shafira Tour and Travel branches, including Shafira Tour and Travel Jember Branch. So far, the system evaluation process has only been carried out at the Shafira Tour and Travel Center, while the other branches have never carried out system evaluation and assessment. Therefore, this study was conducted to evaluate and assess the Elhamzah system in Shafira Tour and Travel Jember Branch. In the process of evaluating and assessing this system, we use the COBIT 4.1 framework with the Monitor and Evaluate domain. The results we get are the ME1 gap of 0.36, ME2 of 0.56, ME3 of 0.50, and ME4 of 0.38.

Usulan Model Tata Kelola Teknologi Informasi Pada Domain Plan And Organise Dengan Menggunakan Framework COBIT 4.1 Amanda Paramita Salsabila; Hukama Nur Romadlon; Siti Mukaromah
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.99

Matahari Coy is a company engaged in food raw materials with a large scope that requires optimal IT involvement so that there is a need for an appropriate IT governance standard mechanism. The COBIT 4.1 framework provides a solution for implementing the IT governance model. This research focuses on the domains of the PLAN AND ORGANISE domains: PO4 (define IT processes, organizations and relationships), PO5 domain (managing IT investments), PO7 domain (IT human resource management), PO8 domain (managing quality), and the PO8 domain (managing quality). PO9 (assess and manage IT risk). This study uses management awareness methods and maturity levels in each domain respectively PO4, PO5, PO7, PO8 and PO9. Data collection is done by means of observation and interviews. Based on the calculation of the questionnaire for the PO4 process, the performance level is still lacking/low with an average value of 1.47 and it is suggested that improvements need to be made to the organization and framework of the IT process. While the PO5 process leads to level 3 (Defined Process) with an average value of 3.40 and the increase in IT budget and profit management is quite good. Furthermore, the PO7 process tends to be less/low with an average score of 2.50 and it is proposed to make improvements in terms of IT personnel selection, competency selection and personnel removal. Furthermore, the PO8 process is close to moderate with an average score of 2.17 and it is proposed to improve the practice and development of IT quality. Then PO9 tends to be less/low with an average value of 2.33 and proposed improvements to IT risk management internally and externally.

Audit Sistem Informasi Perpustakaan UPN "Veteran" Jawa Timur Menggunakan Framework COBIT 5.0 Gana Sachio Sachio; Novanda Nurhandini Putri; Siti Mukaromah
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.105

The implementation of an information system technology is not always applied to an agency, company, and also industrial. However, public facilities also do not escape the implementation of information system technology. One of the sectors/public facilities that apply information system technology is a place that is always there in every educational institution, namely the library. One example is the Universitas Pembangunan Nasional “Veteran” Jawa Timur’s Library which is a mine of information that we can benefit from both digitally and physically. Which is where the implementation of the information system for this library can be used for monitoring both management, book data, and also user data. This is where the information system audit plays a role in evaluating performance based on the framework used. For the analysis of the library information system audit this time, we will use COBIT 5 that focuses on assessing the implementation of information systems for visitors, especially students. At this time, all visitors, whether students, lecturers, alumni, or the general public, can visit the UPN library simply by filling out the visitor list manually. This is deemed not to be in accordance with the visitor flow chart that has been arranged by the library itself. Currently the application of scanning KTM barcodes for visiting students has not been carried out optimally, even though if the KTM scan system is used optimally it can facilitate the management of the library. And also the operational hours of the library which can still be said to be ambiguous, where the operating hours of the system have not been updated, stating that the library service hours are until 6 pm while in the field the service hours are only until 3 pm. Where information that could be important is only conveyed via social media, the library of the Universitas Pembangunan Nasional “Veteran” Jawa Timur.

Page 11 of 12 | Total Record : 115

8 9 10 11 12

Filter by Year

2020 2026

Filter By Issues

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Albert Yakobus Chandra

Contact Email
albert.ch@mercubuana-yogya.ac.id

Phone
+6285239280085

Journal Mail Official
jisai@mercubuana-yogya.ac.id

Editorial Address
Jl. Raya Wates-Jogjakarta, Karanglo, Argomulyo, Kec. Sedayu, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55752

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Albert Yakobus Chandra

Contact Email albert.ch@mercubuana-yogya.ac.id

Phone +6285239280085

Journal Mail Official jisai@mercubuana-yogya.ac.id

Editorial Address Jl. Raya Wates-Jogjakarta, Karanglo, Argomulyo, Kec. Sedayu, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55752

Location Kab. bantul, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Albert Yakobus Chandra

Contact Email
albert.ch@mercubuana-yogya.ac.id

Phone
+6285239280085

Journal Mail Official
jisai@mercubuana-yogya.ac.id

Editorial Address
Jl. Raya Wates-Jogjakarta, Karanglo, Argomulyo, Kec. Sedayu, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55752

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA