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Journal Of Information System And Artificial Intelligence

jisai
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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 105 Documents

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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.

Pengenalan Citra Wajah Menggunakan Model Hybrid Filtering dan Convolutional Neural Networks (CNN): Pengenalan Citra Wajah Menggunakan Model Hybrid Filtering dan Convolutional Neural Networks (CNN) Resmiranta, Dading Oktaviadi; Krismono, Bambang; 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.v6i1.271

The face is an important object in the biometric identification system. However, low image quality due to uneven lighting, noise, and variations in facial expressions can interfere with the accuracy of the recognition system. The study investigated the use of Convolutional Artificial Neural Network (CNN) combined with hybrid screening techniques to improve image quality, thereby improving the accuracy of facial recognition systems. Filters used include weight mean filtering, median filtering, Contrast-Limited Adaptive Histogram Equalization and gaussian filtering, wavelet filtering. The pre-processed image was then trained using image denoising measurements of the Structural Similarity Index, Mean Squared Error, and Peak Signal to Noise Ratio. The main objective of this study is to evaluate the best filtration combination to produce high accuracy in face classification. The datasets used were 55 classes and 100 images per class. The inceptionV3 architecture model is used for classifications with a number of epochs of 10. Evaluation was carried out on a facial data set with an 80%:20% scheme. The results of the experiment showed that the hybrid method produced the best performance with 94.5% validation accuracy, 94.2% precision, and 94.6% recall, an increase of +1.4% compared to baseline. The (original) baseline itself recorded 93.1% validation accuracy, 92.8% precision, and 93.2% recall. In addition, the loss graph shows that the pre-process model has faster and more stable convergence than the non-pre-processing model. These results confirm that the application of preprocessing, especially the hybrid approach, is able to improve the accuracy and stability of the model in image classification tasks.

Financial information system at krustyzone playground based on android Nurliana, Safari; Abdillah, Leon A.; Sopiah, Nyimas; Ibadi, Taqrim
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.v6i1.273

The development of information technology encourages the need for efficient and mobile systems, especially in the small business sector such as playgrounds. This research aims to design and develop an Android-based Financial Information System at Krustyzone Playground to overcome the obstacles of manual recording, report delays, and lack of real-time data. The method used is Rapid Application Development (RAD), which allows a fast development process through design iterations and direct feedback from users. The system was developed using the CodeIgniter framework and MySQL database, and modeled with UML (Use Case Diagram, Activity Diagram, and Class Diagram). The implementation results show that the system is able to record income and expenses, display real-time financial reports, and manage users with different access rights. Tests through the Black Box Testing method prove that all functions run as expected. Validation by users shows the application is easy to use, efficient, and responsive. In conclusion, this system supports more accurate, secure, and structured financial management, as well as being an appropriate technology solution in assisting businesses in making decisions based on actual data.

Usability evaluation of the state junior high school 40 palembang website using the system usability scale (SUS) Syafaruddin, Muhammad Yunus; Muzakir, Ari Muzakir; Megawaty
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.v6i1.275

The increasing reliance on digital platforms in education highlights the importance of website usability for supporting academic and administrative activities. This study evaluates the usability of the State Junior High School 40 Palembang website using the System Usability Scale (SUS), a widely adopted and reliable method for measuring user experience. Data were collected from 50 respondents representing students, teachers, and administrative staff through observations, documentation, and an online SUS questionnaire. The overall SUS score achieved was 75.6, which places the website in the Good usability category. Further analysis revealed differences among user groups: administrative staff rated the system as Excellent (82.5), teachers as Good but close to Excellent (78.0), and students as Good but with the lowest score (72.5). These variations indicate that user familiarity, task type, and device context strongly influence usability perception. Benchmark comparisons confirmed that while the website surpasses the global average threshold, improvements are required to elevate it to the Excellent level consistently across all groups. Key areas for enhancement include navigation consistency, user guidance, and mobile responsiveness. Addressing these aspects will ensure broader user satisfaction, higher efficiency, and alignment with best practices in educational website usability.

INGGRIS INGGRIS Anggoro, Cahyo; IKE, IKE YUNIA PASA; MURHADI, MURHADI
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.v6i1.283

This study attempts to create interactive learning media using Articulate Storyline software forIndonesian language lessons in grade IV at Muhammadiyah 1 Elementary School in Purworejo Regency.The development was carried out in accordance with the Design Thinking Method, which consists of fivestages, namely empathize, define, ideate, prototype, and test. This study was motivated by the lowapplication of technology in learning and the need for media that can be used to increase students' interestin learning. Data was collected through observation and interviews with students and teachers. The learningmedia designed combines multimedia in the form of videos, audio, animations, and interactive quizzesbased on Google Forms that are directly connected to Google Spreadsheets for assessment. The media isstored in HTML5 and APK application formats so that it can be accessed via computers or smartphones.The results of the pilot test showed that the learning media developed was categorized as highlyeffective with an average effectiveness score of 4.34 based on the signs of learning interest according toSlameto (2011), which consist of the elements of interest, involvement, enjoyment, and attention. Therefore, this learning media can be used as an alternative solution to improve the quality of interactive Indonesian language learning in elementary schools.

Implementation of a lecturer agenda management application using the scrum method at UIN Jurai Siwo Lampung Widatama, Krisna
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.v6i1.302

Lecturers at UIN Jurai Siwo Lampung faced significant challenges in schedule management due to the lack of a centralized system, leading to frequent agenda conflicts and coordination inefficiencies. This research aimed to develop a functional agenda management application and evaluate the effectiveness of the Scrum method in this context. The software development process utilized the Scrum framework, emphasizing iterative sprints to adaptively handle changing user requirements. The results showed that the developed application successfully minimized scheduling overlaps through automated conflict detection features. Additionally, the Scrum method proved effective in accelerating the development cycle and ensuring the product met specific user needs. This study contributes a practical solution for enhancing academic productivity and offers empirical insights into implementing Agile methodologies within educational institutions.

A Comparative Study of Naïve Bayes, SVM, Random Forest, and LSTM Performance in Sentiment Analysis on a Movie Review Dataset Widi Widayat
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.v7i2.274

Sentiment analysis is an important task in natural language processing, aimed at identifying and classifying opinions or emotions in textual data. This study compares the performance of four classification algorithms—Naïve Bayes, Support Vector Machine (SVM), Random Forest, and Long Short-Term Memory (LSTM)—on 25,000 English-language movie reviews with balanced sentiment labels. Text preprocessing includes cleaning, tokenization, and TF-IDF vectorization for traditional models. For LSTM, both randomly initialized embeddings and pre-trained embeddings are tested. Results, evaluated using accuracy, F1-score, and confusion matrix, show that SVM performs best with 89% accuracy, followed by Naïve Bayes and LSTM at 86%, and Random Forest at 82%. LSTM performs poorly with TF-IDF or self-trained embeddings but improves significantly with pre-trained embeddings. These findings indicate that traditional models, especially SVM, remain highly effective for sentiment analysis on moderately sized datasets, while LSTM requires proper text representation to perform competitively.

UI/UX Design for School Website Using Design Thinking Method at SMP Negeri 2 Palembang Aldi Andatu Pradinata
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.v7i2.284

The development of information technology encourages educational institutions to provide digital services that can meet the needs of communication, transparency, and information accessibility. School websites function not only as a medium for conveying academic information, but also as a means of interaction between teachers, students, parents, and the general public. This study aims to design the UI/UX design of the SMP Negeri 2 Palembang website using the Design Thinking method which consists of five stages, namely Empathize, Define, Ideate, Prototype, and Test. This approach was chosen because it is oriented towards user needs and is able to produce innovative, applicable solutions. Data was obtained through interviews, questionnaires, and observations to explore user experiences and problems that arise in using the school website. The analysis results showed problems in aspects of navigation, information accessibility, visual appeal, and website responsiveness to various devices. Based on these findings, a website prototype was designed with the main elements of teacher, student, and admin dashboards, student monitoring features, a learning material repository, an activity gallery, and a more structured announcement system. The trial using the System Usability Scale (SUS) obtained an average score of 89.5 which is included in the "Excellent" category with a grade of "A." These findings indicate that the developed UI/UX design can improve user convenience, effectiveness, and satisfaction, while simultaneously strengthening the school's image in the digital age

Web-Based Information System for Laundry Services: An Extreme Programming Approach to Digital Transformation Mgs Gustriawan Candra; Maria Ulfa; Evi Yulianingsih
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.v7i2.286

The rapid growth of digital technologies has accelerated the transformation of small and medium-sized enterprises (SMEs), including service-based industries such as laundry businesses. However, many of these businesses still rely on manual processes, which often result in inefficiencies and limited customer engagement. This study aims to develop a web-based information system for laundry services using the Extreme Programming (XP) methodology to support digital transformation. The development process consisted of four stages: planning, design, coding, and testing, carried out iteratively with continuous stakeholder involvement. Key features implemented include customer registration, order management, real-time order tracking, invoice generation, and administrative reporting. Functional testing confirmed that all core features performed as expected. Usability evaluation using the System Usability Scale (SUS) produced an average score of 82.3, indicating Excellent usability. Customers appreciated the mobile-first design and order tracking, employees highlighted the efficiency of order input, and administrators valued reporting functions. The findings demonstrate that XP enables rapid development, enhances system quality, and aligns software outputs with user needs. This study contributes to the literature by showing how agile methods can accelerate digital transformation in SMEs, while also offering practical implications for improving operational efficiency and customer satisfaction in the laundry service sector

Design and Implementation of a Digital Police Assistance Application for Enhancing Public Services Rio Martin Rio; Nia Oktaviani; Evi Yulianingsih
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.v7i2.288

Public service delivery in law enforcement is often hindered by limited accessibility, manual procedures, and lack of transparency in complaint handling. This study proposes the Digital Police Assistance Application, a mobile platform designed to integrate incident reporting, real-time tracking, information dissemination, and an administrative dashboard for police officers. The system was developed using the Waterfall model with Flutter for cross-platform mobile development, Node.js with Express for backend services, and MySQL for data storage. Functional validation through Black Box testing confirmed that all modules operated as intended. Usability evaluation involving 30 participants (15 citizens and 15 police officers) employed the System Usability Scale (SUS). The application achieved an average SUS score of 82.5, categorized as “Excellent,” with citizens scoring slightly higher (84.2) than police officers (80.7). Citizens appreciated the simplicity and transparency of complaint tracking, while police officers highlighted dashboard efficiency and suggested integration with internal databases. These results demonstrate that the application is both functional and user-friendly, with strong potential to enhance transparency, efficiency, and trust in police services. Future work will address system interoperability, security improvements, and pilot testing across multiple jurisdictions

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Home Page

OAI Link

Editorial Team

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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