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 : -

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 para akademisi, peneliti dan praktisi dalam bidang Sistem Informasi, Teknologi Informasi dan Ilmu Komputer. Jurnal ini diterbitkan 2 kali dalam 1 tahun yakni pada bulan November dan Mei dengan periode penerimaan artikel sepanjang tahun. 10 artikel pertama yang lolos seleksi akan diterbitkan pada periode penerbitan yang paling dekat. Sedangkan, artikel ke-11 dan seterusnya akan diterima untuk diterbitkan pada periode yang akan datang. Artikel yang masuk ke jurnal ini akan di-review oleh mitra bestari sebelum diterbitkan. Proses review artikel dilakukan secara double blind review yang mana mitra bestari tidak mengetahui siapa penulis artikel tersebut dan juga sebaliknya penulis tidak mengetahui mitra bestari yang menilai artikel tersebut. Jurnal JISAI merupakan jurnal akses terbuka (open access) sehingga seluruh artikel yang diterbitkan oleh jurnal ini dapat diakses kapan saja dan di mana saja oleh siapa saja tanpa dipungut biaya. Selain itu, untuk Submit dan Review Manuskrip adalah Bebas Biaya.

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

Articles 95 Documents

6 7 8 9 10

Analysis of the Laboratory Assistant Recruitment Selection Determination System using the TOPSIS Algorithm Method in the Computer Lab Arif, Muhammad Azhar Syarif
Journal Of Information System And Artificial Intelligence Vol. 5 No. 2 (2025): Vol. 5 No.2(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i2.234

Laboratory assistants are students appointed by the laboratory and accompany the lecturer during practical activities. The process for accepting computer laboratory assistants has several assessment criteria, both academic and non-academic. Errors in decision making cause distrust of computer laboratory assistants who are accepted and cause students to lack understanding and skills in certain subjects. This research for the selection of laboratory assistants is based on the TOPSIS method, which is a decision making method based on the idea that the option chosen is the best option that has the shortest distance to the positive ideal solution and the farthest distance to the negative ideal solution. There are five criteria used in selecting computer laboratory assistants, including GPA, semester, programming test, personality and interview. This research aims to provide recommendations as material for consideration for appropriate decision making and is expected to facilitate the process of selecting computer laboratory assistants that suit students' abilities, based on standard criteria and test results.

Digital Transformation of Student Attendance: Backend Design Based on IoT Technology with RFID Muzakir, Ari Muzakir; Hendri
Journal Of Information System And Artificial Intelligence Vol. 5 No. 2 (2025): Vol. 5 No.2(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i2.236

This study aims to design and implement a student attendance system based on the Internet of Things (IoT) using Radio Frequency Identification (RFID) technology at SMP Negeri 35 Palembang. The main issue addressed is the manual attendance process, which is time-consuming, error-prone, and difficult in terms of managing and accessing student attendance data. The proposed system is expected to improve efficiency and accuracy in attendance recording while providing real-time data management convenience. The methodology employed includes system design, hardware (RFID) and software (web-based application) development, and system implementation in the school environment. The research results indicate that the IoT-based attendance system successfully replaces the manual system, enhancing the speed and accuracy of attendance recording, as well as facilitating data management for the school and providing accessibility for parents. However, challenges related to user adaptation and reliance on internet connection stability still need to be addressed. As a suggestion for future research, it is recommended to develop the system with additional features such as attendance analytics and integration with the school's academic system to support data-driven decision-making

Performance Analysis of PT. Bina Wahyu Ramadhany's Website Using GTmetrix Rosilawati, Diana
Journal Of Information System And Artificial Intelligence Vol. 5 No. 2 (2025): Vol. 5 No.2(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i2.238

Bina Wahyu Ramadhany is a company specializing in Occupational Safety and Health (K3) services. This study aims to evaluate the effectiveness and efficiency of the company's website as an information source for users. The analysis ensures that the website is accessible, delivers accurate and up-to-date information, and provides an optimal user experience. Website performance testing is conducted using GTmetrix, a tool that assesses website speed and efficiency while offering recommendations for potential improvements. Additionally, Speedtest.net is utilized to measure the stability and speed of internet access on the testing devices. The results from GTmetrix analysis indicate that the PT. Bina Wahyu Ramadhany website achieved an overall Grade A score with a 99% performance rating, marked by a green indicator. This rating signifies that the website's performance is classified as excellent. Based on these findings, it can be concluded that a higher performance score correlates with better website accessibility and an enhanced user experience.

Development of a Book Borrowing & Returning System Using the Extreme Programming Method MARSAQ, MUHAMMAD RAIHAN; Andri, Andri; Sopiah, Nyimas; Oktaviani, Nia
Journal Of Information System And Artificial Intelligence Vol. 5 No. 2 (2025): Vol. 5 No.2(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i2.239

Based on the researcher’s observations at the SMA Negeri 7 Palembang Library, the identified issues include errors in recording book loans and a lack of well-documented data. This problem arises because the book loan recording process relies solely on manual note-taking, which is relatively slow. Additionally, the library does not have a medium to inform students about its book collection, reducing students' interest in borrowing books. To address these issues, the author aims to develop a book borrowing information system to enhance the efficiency of book management and borrowing in the library while also providing students with information about the available book collection. This research employs the Extreme Programming system development methodology. The objective of this study is to build an information system for book borrowing and returning, which also serves as an informational medium for the library’s book collection at SMA Negeri 7 Palembang. The system is designed and developed as a web-based application using PHP as the programming language and MySQL as the database, with UML as the modeling tool. The research results show that the developed system can improve time efficiency in the book borrowing process by 75%. This conclusion is based on the fact that the borrowing process previously took an average of 20 minutes before using the system, but it now takes less than 5 minutes with the system. Therefore, the developed system will significantly assist in the management and borrowing process at the SMA Negeri 7 Palembang Library.

Web-Based Procurement Information System at CV Radra Sejahtera Farrelsyah, Rafly
Journal Of Information System And Artificial Intelligence Vol. 5 No. 2 (2025): Vol. 5 No.2(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i2.240

From field observations, the process of submitting procurement requests for goods and services at CV Radra Sejahtera is still conducted offline and has not been well-organized. Currently, clients requiring procurement must first send a formal letter to CV Radra Sejahtera, which is then processed by the company. This approach is considered slow due to the absence of an integrated system that allows clients to submit requests directly. This study aims to develop a system that facilitates the connection between CV Radra Sejahtera and its clients or users online. With this system, clients can directly submit their procurement needs without the need for manual letter submissions. The objective of this research is to build an information system that assists in the submission and management of goods and services procurement at CV Radra Sejahtera. The system is designed and developed as a web-based platform using the Extreme Programming (XP) methodology. XP is chosen due to its advantages in shortening development time and simplifying bureaucratic processes, thereby accelerating the procurement request process. Based on the research findings, the developed system improves time efficiency by 50% in the request submission process. Previously, the submission process took an average of two days, but with the system, clients can complete their procurement requests in less than one day. Therefore, this system greatly benefits both the clients and CV Radra Sejahtera.

Anomaly Detection in Walking Data Using Isolation Forest: An Unsupervised Learning Approach Nur, Nur Alamsyah
Journal Of Information System And Artificial Intelligence Vol. 6 No. 1 (2025): Vol. 6 No.1(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i1.235

Detecting anomalies in walking data is crucial for ensuring data quality in wearable devices and understanding irregular physical activity patterns. Traditional methods often rely on labeled data, which is scarce in real-world applications. This study presents an unsupervised learning approach using Isolation Forest to detect anomalies in walking datasets. The data, comprising features such as step count, distance, and time, was preprocessed and analyzed to identify patterns and deviations. Isolation Forest was employed due to its efficiency in handling high-dimensional data and its ability to separate anomalies without prior labeling. The model successfully detected 5 anomalous data points out of the dataset, with anomaly scores ranging from -0.15 to 0.2. These outliers corresponded to extreme walking patterns, such as unusually high step counts with disproportionate time and distance. Visualization of anomaly scores and statistical evaluations validated the model's effectiveness, showing clear distinctions between normal and abnormal data. The proposed approach highlights the potential of Isolation Forest in improving data quality and enabling real-time anomaly detection in fitness tracking applications. This work contributes to the broader field of unsupervised anomaly detection by demonstrating a scalable and effective method for handling real-world activity data.

Analisis Kualitas Layanan Website Sistem Informasi Pelayanan Perizinan Online DPMPTSP Kota Palembang Menggunakan Metode Webqual 4.0 Mizan, Imam; Andri; Supratman, Edi; Wardani, Kiky
Journal Of Information System And Artificial Intelligence Vol. 6 No. 1 (2025): Vol. 6 No.1(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i1.242

The rapid development of information technology, particularly the internet, has driven governments to adopt e-government to enhance information access, improve service efficiency, and promote administrative transparency. One of its implementations is a public service website that enables citizens to access digital services and information. The success of this system highly depends on the quality of the website in terms of usability, information completeness, and service interaction. This study employs the Webqual method, which consists of Usability Quality, Information Quality, and Interaction Quality, using a quantitative approach to evaluate the website’s service quality. The results indicate that the Online Licensing Service Information System website of DPMPTSP Palembang City has improved service efficiency by accelerating the licensing process in accordance with SOP’s, allowing applicants to obtain their licensing certificates within a maximum of three days. The system implementation has successfully reduced reliance on slower manual processes. However, issues remain regarding accessibility and information updates on PPID, which may hinder transparency. Further analysis reveals that Usability Quality, Information Quality, and Interaction Quality simultaneously have a significant impact on user satisfaction. However, when examined separately, only Information Quality and Interaction Quality show a significant positive impact, while Usability Quality does not strongly influence user satisfaction. The development of public service information systems should focus on improving accessibility, creating a more intuitive interface, and ensuring regular updates of information. With these optimizations, the system can be more effective in meeting user needs and enhancing their experience in accessing government digital services.

SISTEM PEMETAAN DAN REKOMENDASI UNTUK OBJEK WISATA DI KABUPATEN BOYOLALI BERDASARKAN SIG (SISTEM INFORMASI GEOGRAFIS) Setiawan, Ferry Illham; Muqorobin, Muqorobin; Efendi, Tino Feri
Journal Of Information System And Artificial Intelligence Vol. 6 No. 1 (2025): Vol. 6 No.1(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i1.249

Boyolali Regency has various interesting tourist attractions, but limited information and tourist recommendations are an obstacle for tourists in planning a visit. Geographic Information System (GIS) can be a solution to present tourist location information visually and provide recommendations based on certain criteria such as distance, tourist category, and popularity. This research aims to develop a GIS that is able to recommend tourist attractions in Boyolali Regency. By utilizing spatial data and interactive features, this system is expected to facilitate tourists in finding and selecting tourist destinations that suit their preferences. The implementation results show that this GIS is effective in providing tourism recommendations and improving the accessibility of tourism information in Boyolali.

Feature importance of using explanaible artificial intelligence (xai) and machine learning for diabetes disease classification Ahmad, Muhammad Maulana; Sulistianingsih, Neny; Hidjah, Khasnur
Journal Of Information System And Artificial Intelligence Vol. 6 No. 1 (2025): Vol. 6 No.1(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i1.252

Diabetes is one of the most significant global health problems in the modern era. This disease not only has a serious impact on the quality of life of sufferers, but also poses a great economic and social burden, both for individuals and the health service system as a whole. Therefore, early detection and effective treatment are very important in an effort to reduce the prevalence and negative impact of this disease. Therefore, the purpose of this study is to design a machine learning classification model that is able to identify feature importance with the help of the Explainable Artificial Intelligence (XAI) method in the case of diabetes. This model is expected to provide a clear interpretation of the most relevant features or symptoms, making it easier to detect whether a person has diabetes or not based on the symptoms that have been selected more optimally. The results of this study in the treatment or prediction of diabetes show that the results of the selection of LIME model features are higher than the accuracy of the SHAP model, where the highest is the LIME model which is processed using classification using the XGBoost algorithm with an accuracy of 98.47%, in addition to the LIME model using the Decisien Tree and Random Forest algorithms producing an accuracy of 91.97% and 91.49%, respectively. then the SHAP model using the XGBoost algorithm produced an accuracy of 0.9094%, the Decisien Tree algorithm produced an accuracy of 0.8059% and the Random Forest produced an accuracy of 88.46%, with the amount of data used as many as 70000 data, with 80% training data and 20% test data. The findings of this study are that the LIME feature selection combined with the XGBoost classification method has the best accuracy rate of 98.47% compared to the SHAP feature selection which is the same in combination with XGBoost with an accuracy of 90.94%. These findings also show that the selection of LIME features combined with the XGBoost algorithm is able to improve the interpretability of the model as well as maintain or even improve the accuracy of the predictions. This approach allows for the identification of the most relevant features more efficiently, thus supporting more informed decision-making in the data analysis process

Digitalisasi Layanan Laundry: Pengembangan Aplikasi Berbasis Web untuk Meningkatkan Efisiensi Operasional Lizal, Alip; Ria Pebrian Dini; Faris Rizky Ramadhan; Mia Rosmiati
Journal Of Information System And Artificial Intelligence Vol. 6 No. 1 (2025): Vol. 6 No.1(2025): Journal of Information System and Artificial Intelligence Vo
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v6i1.260

The laundry business is currently experiencing significant growth as people's mobility increases. Busy daily activities make it difficult for many individuals to carry out the routine of washing clothes at home. This opens up great opportunities for the laundry business, especially in educational environments such as campus areas that have a high level of busyness. However, most operational processes of laundry businesses are still done manually, especially in recording transactions, resulting in an estimated 35-40% data error rate and significant delays in financial reporting processes. Despite the growing demand for digital solutions in service industries, there remains a significant gap in affordable, user-friendly laundry management systems specifically designed for small to medium-scale operations. To address these critical operational challenges, a website-based application called WhiteWave was developed to support the administration and management of laundry businesses. This application was built using the Laravel framework and utilizes the Aiven Console as a tool in database management, which provides ease of collaboration between developers. Based on comprehensive functionality and effectiveness testing, all features in the application run optimally according to development objectives, demonstrating a 98% user satisfaction rate and 60% improvement in operational efficiency. With this application, laundry business processes become more efficient, structured, and demonstrate minimal errors in managing operational data.

Page 9 of 10 | Total Record : 95

6 7 8 9 10

Filter by Year

2020 2025

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.Jembatan Merah, No.84C, Gejayan, Yogyakarta

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.Jembatan Merah, No.84C, Gejayan, Yogyakarta

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.Jembatan Merah, No.84C, Gejayan, Yogyakarta

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA