cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Usman Ependi
Contact Email
usmanependi@adsii.or.id
Phone
081271103018
Journal Mail Official
usmanependi@adsii.or.id
Editorial Address
Jl AMD, Lr. Tanjung Harapan, Taman Kavling Mandiri Sejahtera B11, Kel. Talang Jambe, Kec. Sukarami, Palembang, Provinsi Sumatera Selatan, 30151
Location
Unknown,
Unknown
INDONESIA
Journal of Information Systems and Informatics
Published by Asosiasi Doktor Sistem Informasi Indonesia
ISSN : 26565935     EISSN : 26564882     DOI : 10.63158/journalisi
Core Subject : Science,
Computer Science & IT
Journal-ISI is a scientific article journal that is the result of ideas, great and original thoughts about the latest research and technological developments covering the fields of information systems, information technology, informatics engineering, and computer science, and industrial engineering which is summarized in one publisher. Journal-ISI became one of the means for researchers to publish their great works published two times in one year, namely in March and September with e-ISSN: 2656-4882 and p-ISSN: 2656-5935.
Arjuna Subject : -
Articles 733 Documents
 69   70   71   72   73 
An ADDIE-Based Educational Arithmetic Game for Children with Mild Intellectual Disabilities Wenda Novayani; Shumaya Resty Ramadhani; Eveline Ang
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1419

Abstract

This study presents the design and evaluation of BRILIAN, an educational arithmetic game developed to support children with mild intellectual disabilities using the ADDIE instructional design framework. The study addresses persistent challenges in numeracy learning-particularly addition and subtraction-where conventional instructional approaches often fail to sustain learner engagement and instructional effectiveness. A mixed-methods approach was employed across the ADDIE phases, incorporating teacher interviews, functional testing, standardized usability and user experience instruments (System Usability Scale, User Experience Questionnaire-Short, and Game User Experience Satisfaction Scale), classroom observations, and pre-test/post-test performance assessments. The findings indicate high usability and user satisfaction, with a mean SUS score of 75.20 and an overall GUESS score of 87.74%. Teacher observations further revealed strong learner engagement (90.26%). Learning effectiveness improved significantly, as reflected by an increase in mean test scores from 62.73 to 82.27, accompanied by reduced task completion time. By integrating structured instructional design, multimodal feedback, adaptive gameplay, and cognitive accessibility features, this study provides empirical evidence that ADDIE-based educational games can function as practical and effective instructional tools for arithmetic learning in special education classroom contexts.
Trinity-Controller ADWIN: An Accuracy Guided Sensitivity Control Framework for Streaming Intrusion Detection Rodney Buang Sebopelo
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1421

Abstract

Concept drift can severely undermine the reliability of streaming Intrusion Detection Systems (IDS), especially in realistic network traffic where changes are gradual, recurring, and often masked by noise and class imbalance. Widely used statistical drift detectors such as ADWIN provide theoretical guarantees, yet in practice they can exhibit sensitivity oscillations, delayed adaptation under subtle drift, and disruptive reset behavior that leads to prolonged performance dips. This paper presents Trinity-Controller ADWIN, a unified drift-management framework that fuses three complementary signals: a Volatility Controller (VC) for statistically grounded drift detection, an Adaptive Rate Controller (ARC) that dynamically regulates ADWIN sensitivity, and a Performance-Based Controller (PBC) that monitors an Exponential Moving Average (EMA) of online accuracy to detect sustained model degradation. The proposed framework is evaluated using a Hoeffding Adaptive Tree classifier on a time-ordered streaming reconstruction of CICIDS2017, reflecting realistic temporal drift patterns. Across multiple drift regions, Trinity-Controller ADWIN achieves higher long-horizon accuracy stability, faster post-drift recovery, and fewer unnecessary resets than fixed ADWIN, VC-only, and VC+ARC baselines. Notably, in several drift segments the framework preserves post-drift accuracy above 90% of baseline while demonstrating near-zero recovery delay, indicating that adaptation occurs with minimal disruption. Overall, the results show that combining statistical drift evidence with direct performance-aware feedback yields a more robust and operationally reliable streaming IDS under evolving traffic conditions.
Sentiment Analysis of Indonesian Netizens toward Vasectomy on X Using the IndoBERT Model Yelli Nur Alinda; Allsela Meiriza; Dinna Yunika Hardiyanti
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1425

Abstract

Vasectomy-related conversations on X (Twitter) frequently generate polarized pro–contra debates that can shape public understanding of male contraception, yet evidence on Indonesian netizens’ sentiment remains limited. This study maps and classifies sentiment toward vasectomy during April–June 2025 using a descriptive quantitative text-mining and NLP pipeline. After preprocessing (cleaning and deduplication), 9,817 posts were analyzed. Semi-supervised labeling was performed using the teacher model taufiqdp/indonesian-sentiment with confidence-based refinement, supported by a rule-based sarcasm_flag that identified 330 potentially sarcastic texts. A 20% manually verified GOLD subset (1,963 samples) served as ground truth, and IndoBERT (indolem/indobert-base-uncased) was fine-tuned with weighted cross-entropy and early stopping. Evaluation on the GOLD test set (n = 393) showed strong performance (accuracy = 0.8168; macro F1 = 0.8141), with most errors concentrated in short, ambiguous, or humor/sarcasm-leaning posts. Full-corpus predictions produced 3,957 negative, 3,520 positive, and 2,340 neutral texts, indicating a contested and polarized discourse with a slightly higher negative share. These findings support the need for evidence-based digital communication strategies to address misconceptions and stigma surrounding male contraception.
The Role of E-Participation in Building Public Trust and Readiness for E-Voting: A Systematic Review Muhammad Naufal Sulaiman; Apol Pribadi Subriadi; Feby Artwodini Muqtadiroh
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1433

Abstract

Digital Electronic voting (e-voting) success relies heavily on institutional trust and public readiness, yet existing literature predominantly emphasizes technical specifications over socio-political factors. This study addresses this gap by systematically synthesizing how e-participation mechanisms contribute to public trust and readiness for e-voting adoption. A systematic Literature review (SLR) following the PRISMA 2020 framework was conducted, analyzing 40 peer-reviewed journal articles published between 2020 and 2025 from reputable databases. The finding reveal that readiness is influenced by interrelated factors, primarily trust in e-voting systems (n=9), technology (n=7), and government (n=6), alongside digital literacy (n=6) and ICT access (n=5). Crucially, the analysis identifies that e-participation mechanisms specifically online consultations and feedback loops serve as foundational learning tools that foster the necessary social readiness and mitigate resistance toward new electoral technologies. The Study contributes a conceptual reframing of e-participation as a prerequisite mechanism for building digital trust, rather than just a democratic feature. These findings provide guidance for policymakers designing inclusive and trustworthy digital electoral systems.
Analysis of Enabling and Inhibiting of Cloud Storage Restriction Policy Implementation in Higher Education: A Systematic Literature Review Abdul Malik Karim; Feby Artwodini Muqtadiroh
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1444

Abstract

This study examines enabling and inhibiting factors affecting the implementation of cloud storage restriction policies (e.g., quotas, retention/archiving, data classification, and exceptions) in higher education institutions. A PRISMA-guided systematic literature review was conducted using Scopus and complementary manual searches in Google Scholar, covering English-language publications from the last ten years. Following de-duplication and staged screening, 30 studies were included for synthesis. Findings were analyzed using the Socio-Technical Systems (STS) framework and mapped across People, Structure, Technology, and Process dimensions to capture the interplay between policy design, implementation practices, and technical enforcement. Results indicate that implementation success is driven by human readiness and governance capacity, especially continuous training and mentoring, clear communication, and leadership support that helps balance cost control with user acceptance and compliance. Technological enablers include adequate infrastructure, platform/service integration, and strong access control and information security mechanisms to ensure consistent enforcement. Key barriers include limited digital and data literacy, resistance to change and concerns about data deletion, uneven IT capacity across units, weak SOPs, siloed coordination, complex bureaucracy, vendor dependence, and budget constraints. The study recommends a holistic approach combining strengthened governance, standardized processes, targeted technology investment, and structured change management.
Determinants of Impulsive Buying During Shopee Flash Sales: Ajzen’s Theory of Planned Behavior Approach Alif Baidhawi; Mira Afrina; Ken Ditha Tania; Rizka Dhini Kurnia
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1452

Abstract

This research investigates the psychological elements that affect consumers’ impulsive buying behavior during Shopee flash sale events using the TPB. This inquiry employs a quantitative causal approach using survey data from 154 Shopee users engaged in flash sale purchases. Data were analyzed using a variance-based structural equation modeling approach with SmartPLS. The findings indicate that AT, SN, and PB jointly demonstrate significant effects on impulsive buying intention (β = 0.401; β = 0.395; β = 0.161), jointly explaining 59.9% of its variance. In addition, impulsive buying intention demonstrates a strong influence on actual impulsive buying behavior (β = 0.656, p < 0.001), accounting for 43.1% of the behavioral variance. Among the antecedents, attitude represents the most dominant predictor of intention, followed by subjective norms. A key advancement of this research stems from the integration of the TPB framework within flash sale contexts, positioning impulsive buying intention as a central psychological mechanism under conditions of time pressure. from a practical standpoint, the findings suggest that Shopee sellers and digital marketers should emphasize benefit-oriented messaging, urgency cues, and social validation features such as reviews, real time purchase indicators, and influencer endorsements to strengthen consumers’ impulsive buying intention during flash sale campaigns.
IT Governance Audit Using COBIT 5: A Case Study of Banyumas Regency Regional Library Desi Riyanti; Purwadi Purwadi; Debby Ummul Hidayah
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1457

Abstract

Penelitian ini bertujuan untuk mengevaluasi tingkat implementasi tata kelola Teknologi Informasi di Perpustakaan Daerah Kabupaten Banyumas menggunakan kerangka kerja COBIT 5. Penelitian ini dilakukan untuk mengatasi beberapa isu yang diidentifikasi terkait dengan responsivitas layanan TI, manajemen kontinuitas, tata kelola risiko, dan optimasi sumber daya, yang sangat penting untuk memastikan layanan perpustakaan yang andal dan berkelanjutan. Pendekatan studi kasus deskriptif digunakan, yang melibatkan pengumpulan data melalui tinjauan pustaka, observasi langsung, wawancara terstruktur, dan kuesioner yang dibagikan kepada 16 responden yang terdiri dari kepala perpustakaan, pustakawan, dan staf TI. Penilaian difokuskan pada empat proses COBIT 5, yaitu DSS02 (Manajemen Permintaan Layanan dan Insiden), DSS04 (Manajemen Kontinuitas), EDM03 (Optimasi Risiko Terjamin), dan EDM04 (Optimasi Sumber Daya Terjamin). Berdasarkan hasil penelitian, tingkat kemampuan rata-rata yang diperoleh dari semua domain penilaian adalah 4,06, menunjukkan proses yang dapat diprediksi di mana praktik tata kelola TI telah didefinisikan dengan baik, diukur, dan diimplementasikan secara konsisten. Skor kemampuan tertinggi dicapai pada DSS02 (4,24), sedangkan DSS04 mencatat skor terendah (3,95), yang menyoroti kelemahan dalam pemulihan bencana dan manajemen keberlanjutan bisnis. Keunikan studi ini terletak pada penerapan pengukuran tingkat kemampuan COBIT 5 dalam konteks perpustakaan umum, yang memberikan bukti empiris dan rekomendasi praktis untuk meningkatkan kematangan tata kelola TI dan mendukung penyediaan layanan publik yang berkelanjutan dan berorientasi pada nilai.
Student Performance Classification Using Academic, Socioeconomic, and Digital Behavior Features: A Comparative Study Muhammad Arifin; Fajar Nugraha; Diana Laily Fithri
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1460

Abstract

Accurate prediction of student academic performance is essential for universities seeking to improve learning outcomes and deliver timely, data-driven support. Prior work commonly uses regression to estimate Grade Point Average (GPA), yet numeric predictions can be difficult for administrators to translate into actionable risk levels. This study reframes the task as binary classification, categorizing students as good (GPA ≥ 3.00) or poor (GPA < 3.00) performers. Using 2,423 records from multiple programs at an Indonesian university, we combine academic indicators from the learning management system (login frequency, assignment submission, and forum activity) with socio-economic and digital behavioral variables (parental income, extracurricular participation, study-group involvement, and social media use). Seven machine learning models—Naïve Bayes, Generalized Linear Model, Logistic Regression, Deep Learning, Decision Tree, Random Forest, and Gradient Boosted Trees (GBT)—are benchmarked under a consistent evaluation design. Results indicate that integrating academic, socio-economic, and digital behavioral features improves classification performance, and ensemble methods outperform single, traditional models. GBT yields the best accuracy of 0.75, offering a practical basis for early-warning dashboards and targeted interventions. The study provides comparative evidence from Indonesian higher education and highlights the value of incorporating digital engagement signals alongside conventional academic data for more effective student support services.
Sentiment Analysis of the Free Nutritious Meal Program on Twitter Using Naive Bayes and IndoBERT-Based Labeling Mikel Frewinta Manao; Sri Mujiyono
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1345

Abstract

The Free Nutritious Meal Program is a government initiative aimed at improving the nutritional status of primary school children in Indonesia. However, its implementation has generated diverse public reactions on the X/Twitter platform, making systematic sentiment analysis essential for policy evaluation. This study analyzes public sentiment using two labeling approaches—translation-based TextBlob and IndoBERT contextual labeling—combined with Naïve Bayes and Linear SVC classifiers.  A total of 2,903 Indonesian-language tweets were collected, preprocessed, and classified to compare the performance impact of each labeling method. The evaluation was conducted using accuracy, precision, recall, and macro F1-score. Sentiment distribution under IndoBERT indicates a predominance of negative and neutral opinions, particularly related to budget concerns, implementation quality, and food distribution issues. This study is subject to several limitations. The dataset size (2,903 tweets) and restricted temporal window may limit the generalizability of findings to long-term public discourse. The analysis also relies on a single social media platform (X/Twitter), excluding perspectives from other platforms such as Instagram or TikTok. Moreover, although IndoBERT improves contextual understanding, transformer-based labeling still may not fully capture sarcasm or highly colloquial expressions. Despite these limitations, the study demonstrates the effectiveness of combining Indonesian transformer models with conventional classifiers to support data-driven policy evaluation.
Evaluating Medxa SIMRS Implementation Success Using HOT-Fit and Multiple Regression Muhammad Haykal Alfariz Saputra; Ermatita Ermatita
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1392

Abstract

The implementation of Hospital Management Information Systems (HMIS) is essential for improving service quality, strengthening operational efficiency, and supporting evidence-based decision-making in hospitals. Nevertheless, the success of HMIS implementation is shaped not only by technological performance, but also by human and organizational factors. This study aimed to evaluate the implementation success of Medxa SIMRS at Mohammad Hoesin Hospital, Palembang, using the Human–Organization–Technology Fit (HOT-Fit) model. A quantitative cross-sectional survey was conducted among 67 active users of Medxa SIMRS using a structured Likert-scale questionnaire. Data were analyzed using descriptive statistics and multiple linear regression in Python to examine the influence of the Human, Organization, and Technology dimensions on Net Benefit. The descriptive findings showed that all HOT-Fit dimensions were rated in the good to very good categories, indicating generally positive user perceptions of the system. Regression analysis demonstrated that, simultaneously, the Human, Organization, and Technology dimensions significantly explained variation in Net Benefit (p < 0.05). However, in the partial analysis, only the Technology dimension had a statistically significant positive effect on Net Benefit. These results indicate that system quality, information quality, and service quality are the main determinants of perceived system benefits in this setting. The findings suggest that hospitals should prioritize technological optimization while strengthening organizational support and user readiness to maximize the success of HMIS implementation.

Page 71 of 74 | Total Record : 733

 69   70   71   72   73 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol 8 No 1 (2026): February Vol 7 No 4 (2025): December Vol 7 No 3 (2025): September Vol 7 No 2 (2025): June Vol 7 No 1 (2025): March Vol 6 No 4 (2024): December Vol 6 No 3 (2024): September Vol 6 No 2 (2024): June Vol 6 No 1 (2024): March Vol 5 No 4 (2023): Journal of Information Systems and Informatics Vol 5 No 3 (2023): Journal of Information Systems and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics Vol 5 No 1 (2023): Journal of Information Systems and Informatics Vol 4 No 4 (2022): Journal of Information Systems and Informatics Vol 4 No 3 (2022): Journal of Information Systems and Informatics Vol 4 No 2 (2022): Journal of Information Systems and Informatics Vol 4 No 1 (2022): Journal of Information Systems and Informatics Vol 3 No 4 (2021): Journal of Information Systems and Informatics Vol 3 No 3 (2021): Journal of Information Systems and Informatics Vol 3 No 2 (2021): Journal of Information Systems and Informatics Vol 3 No 1 (2021): Journal of Information Systems and Informatics Vol 2 No 2 (2020): Journal of Information Systems and Informatics Vol 2 No 1 (2020): Journal of Information Systems and Informatics Vol 1 No 2 (2019): Journal of Information Systems and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics More Issue