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All Journal International Journal of Electrical and Computer Engineering Jurnal Manajemen Teknologi TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JSI: Jurnal Sistem Informasi (E-Journal) Bulletin of Electrical Engineering and Informatics JAM : Jurnal Aplikasi Manajemen Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi The Asian Journal of Technology Management (AJTM) Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo JSAI (Journal Scientific and Applied Informatics) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) Makara Human Behavior Studies in Asia Jurnal Komunikasi, Sains dan Teknologi (JKST) Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Penelitian Sistem Informasi Jurnal Manajemen Sistem Informasi Nomico Jurnal Pengabdian Masyarakat Unama Prosiding Seminar Nasional Ilmu Teknik
Setiawan Assegaf
Universitas Dinamika Bangsa
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Pengukuran Tingkat Kesiapan Pasien RSUD Abdul Manap Terhadap Mobile JKN Menggunakan Metode HOT-Fit Titania Arida Nandini; Setiawan Assegaff; Nurhadi Nurhadi
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.106

Abstract

The digital transformation of health services through the Mobile JKN application was introduced by BPJS Kesehatan to provide easier access for the public in obtaining information, managing membership administration, and receiving health services more quickly and efficiently. This study aims to measure the readiness level of patients at Abdul Manap Regional Hospital, Jambi City, in adopting the Mobile JKN application using the HOT-Fit method, which covers three main components: Human, Organization, and Technology. Data were collected from 360 respondents through questionnaires and analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). The results indicate that technology factors—including system quality, information quality, and service quality— along with organizational support have a significant effect on system use and user satisfaction, which in turn positively influence the net benefits. The outer loading values of all indicators exceeded 0.7, with Composite Reliability above 0.8 and AVE above 0.6, confirming that the research instruments are valid and reliable. Overall, patients at Abdul Manap Hospital are categorized as ready to adopt Mobile JKN, although improvements in digital literacy and stronger organizational support are still required to optimize its utilization.
Implementasi SPBE-FORGE(6D) sebagai Framework Enterprise Architecture dalam Percepatan Transformasi Digital Pemerintah Daerah Setiawan Assegaff; Lola Yorita Astri; Kurniabudi
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9402

Abstract

Digital transformation within local governments requires a standardized architectural framework to ensure service integration, data consistency, and efficient information technology governance. This study examines the implementation of SPBE-FORGE(6D) as an Enterprise Architecture framework designed to support the acceleration of Indonesia’s Electronic-Based Government System (SPBE). The evaluation employed Enterprise Architecture Success Metrics, including architecture artefact quality, system interoperability, application efficiency, and data consolidation indicators. The results show that SPBE-FORGE(6D) improved architecture artefact quality by 35–36%, reduced application duplication by 41%, decreased data silos by 44%, and enhanced digital service integration by 150%. These findings demonstrate that SPBE-FORGE(6D) effectively strengthens IT governance, improves cross-domain architectural integration, and significantly contributes to accelerating local government digital transformation in an efficient, standardized, and sustainable manner.
Analisis Kualitas Website Universitas Graha Karya Menggunakan Metode WebQual 4.0 dan Importance Performance Analysis (IPA) Muhamad Ihsan Suzeta; Setiawan Assegaf; Joni Devitra
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3991

Abstract

The advancement of information technology has driven higher education institutions to manage their digital presence professionally, particularly through quality website management as a representation of institutional identity. Preliminary observations of the Universitas Graha Karya (UGK) website (ugk.ac.id) identified several issues, including inconsistent page layouts, inactive hyperlinks, and irregularly updated content. This study aims to analyze the quality of the UGK website based on three WebQual 4.0 dimensions—usability, information quality, and service interaction quality—and to determine improvement priorities using Importance Performance Analysis (IPA). A descriptive quantitative approach was employed, with data collected through questionnaires distributed to 308 active students selected via purposive sampling using the Slovin formula at a 5% margin of error. Data analysis included validity testing, reliability testing, WebQual 4.0 analysis, gap analysis, and IPA Cartesian diagram mapping. Results indicate negative grand mean gap values across all dimensions, with service interaction quality recording the largest gap (-0.16), followed by information quality and usability (both -0.01). IPA mapping identified five indicators in Quadrant I as the main improvement priorities: ease of menu navigation (U2), relevance of academic information (IQ2), clarity of information language (IQ4), website access security (SI1), and ease of contacting administrators (SI4). The study concludes that UGK's website quality has not fully met user expectations and requires structured, user-oriented improvements.
Analisis Kepuasan Pengguna Aplikasi Dramabox Pada Kalangan Generasi Z Kota Jambi Menggunakan Metode End User Computing Satisfaction (EUCS) Elisa, Vioren; Assegaff, Setiawan; Aryani, Lies
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.61

Abstract

The development of video streaming services has made DramaBox widely used by Generation Z, who prioritize fast entertainment access through mobile devices. However, complaints such as long ad duration, unstable video quality, and inaccurate subtitles remain obstacles that can reduce user satisfaction. This study analyzes the factors that influence DramaBox user satisfaction in Jambi City using the End User Computing Satisfaction (EUCS) method with five main dimensions: content, accuracy, format, ease of use, and timeliness. Data were obtained through questionnaires completed by 385 respondents and processed using SEM-PLS with the help of SmartPLS 4. The results showed that accuracy and timeliness significantly influence user satisfaction, while content, format, and ease of use did not have a significant impact. This finding indicates that information reliability and system speed are the most determining aspects of user experience. Therefore, improvements in both aspects are important for the future development of the DramaBox application.
Analisis Kepuasan Pengguna Aplikasi WPS Office Menggunakan Metode End User Computing Satisfaction (EUCS) Fournia Nova; Setiawan Assegaff; Benni Purnama
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.68

Abstract

WPS Office stands for Writer, Presentation, and Spreadsheets—a software suite offering diverse office functions, including document processing, spreadsheet creation, and presentation tools. This study analyzes user satisfaction levels and the influence of the variables Content, Accuracy, Format, Ease of Use, and Timeliness on WPS Office application users in Jambi City, using the End User Computing Satisfaction method. Data were gathered through an online questionnaire distributed to students in Jambi City who had used the application; created via Google Forms, it garnered 385 responses. Post-collection, analysis was conducted using Structural Equation Modeling in SmartPLS software version 4. Of the five hypotheses tested, four were accepted. The results reveal that accuracy, format, ease of use, and timeliness positively and significantly influence user satisfaction, while content shows no significant effect.
Analisis Kelayakan Pemberian Kredit dengan Algoritma Naïve Bayes untuk Antisipasi Risiko Kredit Bermasalah Pada BPR Ukabima Lestari Cabang Jambi Anggi Saputra; Setiawan Assegaff; Benni Purnama
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.96

Abstract

This study analyzes creditworthiness assessment and predicts non-performing loan (NPL) risk using the Naïve Bayes algorithm at BPR Ukabima Lestari, Jambi Branch. A quantitative data mining approach with probabilistic classification is applied. The dataset includes borrower attributes such as age, occupation, income, loan amount, tenor, collateral, and repayment history. Research stages comprise data preprocessing, model development, and performance evaluation using accuracy, precision, recall, and F1-score implemented in RapidMiner. The results indicate that the Naïve Bayes model achieves 99.58% accuracy, demonstrating strong capability to predict potential problem loans accurately and efficiently, supporting data-driven credit decisions and strengthening credit risk management in microbanking institutions.
Pengukuran Kepuasan Pengguna Website PTSP Kemenag Provinsi Jambi menggunakan Metode EUCS dan DeLone & McLean Khairul Fuadi; Setiawan Assegaf; Fachruddin Fachruddin
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.167

Abstract

The implementation of the One-Stop Integrated Service (PTSP) Website at the Ministry of Religious Affairs of Jambi City is part of the digital transformation of public services. This study aims to measure user satisfaction with the PTSP Website using the End User Computing Satisfaction (EUCS) method and the DeLone & McLean model. This research employed a quantitative approach using a survey method involving 100 respondents who are users of the PTSP Website. The EUCS variables consist of content, accuracy, format, ease of use, and timeliness, while the DeLone & McLean model includes system quality, information quality, and service quality. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0 software. The results indicate that system quality, information quality, and service quality have a positive effect on user satisfaction with the PTSP Website. This study is expected to serve as an evaluation reference for improving the quality of digital public services.
Perbandingan Akurasi BERT dan RNN pada Analisis Sentimen Komentar Hotel Mahruzar, Mahruzar; Setiawan Assegaff; Jasmir Jasmir; Yosefina Venus
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.184

Abstract

The increasing volume of online hotel reviews provides valuable insights into customer perceptions but poses challenges for manual analysis due to its unstructured nature. This study aims to compare the performance of Recurrent Neural Network (RNN) and Bidirectional Encoder Representations from Transformers (BERT) in hotel review sentiment analysis. A total of 20,491 TripAdvisor hotel reviews were classified into three sentiment categories: negative, neutral, and positive. The research methodology includes text preprocessing, stratified data splitting, class imbalance handling using Random Over-Sampling, tokenization, and supervised model training. Model performance was evaluated using a confusion matrix and classification metrics. The results indicate that BERT outperforms RNN, achieving an accuracy of 80.54%, while RNN reached 62.21%. BERT demonstrated superior capability in capturing contextual and semantic information in hotel reviews. These findings suggest that transformer-based models are more effective for sentiment analysis of complex textual data in the hospitality domain and can support data-driven service improvement strategies.    
Comparison of AdaBoost and Random Forest Methods in Osteoporosis Risk Prediction Based on Machine Learning Parlindungan H, Edwardo; Assegaff, Setiawan; Jasmir, Jasmir
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5297

Abstract

This study aims to determine the most effective ensemble machine learning algorithm for osteoporosis risk prediction in resource-constrained healthcare settings, specifically comparing AdaBoost and Random Forest performance on Southeast Asian population data. We implemented nested 5-fold cross-validation on a dataset of 1,958 records with 15 lifestyle and demographic attributes. Both algorithms underwent hyperparameter optimization, and performance was evaluated using accuracy, precision, recall, F1-score, and clinical utility metrics including cost-effectiveness analysis. AdaBoost achieved superior performance with 86.90% accuracy (95% CI: 84.2-89.6%) and perfect precision (1.00) compared to Random Forest's 84.69% accuracy and 0.92 precision. Statistical significance testing confirmed AdaBoost's advantage (p=0.032). Clinical implementation in three health centers demonstrated 60% reduction in unnecessary referrals. This is the first study to compare these algorithms specifically for Southeast Asian populations with clinical validation and cost-effectiveness analysis, providing a ready-to-deploy model for resource-limited healthcare settings.
Optimizing Heart Disease Classification Using C4.5, Random Forest, and XGBoost with ANOVA, Chi-Square, and AdaBoost Pratama, Andika; Assegaff, Setiawan; Jasmir, Jasmir; Nurhadi, Nurhadi
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5430

Abstract

Heart disease remains one of the leading causes of mortality worldwide, underscoring the need for accurate and scalable prediction models within clinical informatics. This study proposes a leakage-safe machine learning pipeline combining stratified splitting, SMOTE-based imbalance handling, and in-fold feature selection using ANOVA, Chi-Square, and AdaBoost-assisted ranking to enhance classification performance on a large heart-disease dataset consisting of 10,000 samples and 21 attributes. Three widely used algorithms, C4.5, Random Forest, and XGBoost, were evaluated to determine the optimal model-feature selection configuration for structured medical data. The results demonstrate that feature relevance contributes more significantly to predictive performance than increasing model complexity, with Random Forest achieving the highest accuracy, precision, recall, and F1-Score at 98.43% when combined with Chi-Square or ANOVA feature selection. C4.5 showed the greatest relative improvement, rising from 76.52% to 97.57% using AdaBoost-assisted selection, while XGBoost improved from 66.32% to 94.88% after statistical filtering. The dominant features identified such as CRP, BMI, blood pressure, fasting glucose, LDL, triglycerides, and homocysteine align with well-established cardiovascular biomarkers, supporting clinical validity. This research provides an important contribution to computer science by demonstrating an efficient and scalable hybrid FS-boosting framework capable of reducing unnecessary model complexity, improving generalization, and supporting low-latency deployment in clinical decision-support systems. The findings highlight the potential of structured-data machine learning to strengthen digital health diagnostics in resource-limited environments.
Co-Authors Abdul Haris Afiz Sodik, Nafuri Afrizal Nehemia Toscany agus Nugroho Agus Nugroho, Agus Ahad, Syahdi Zul Aileen, Aileen Akwan Sunoto Alfayyadh, Muhammad Bilal Alfurqon, Dian Andika Pratama Andrianti, Ari anggi saputra Aryani, Lies Baiti, Baiti Rahmah Beni Purnama Chindra Saputra Cipta Hadi, Denny Setya DAFIT AFIANTO Deddy Ackbar Rianto Desy Kisbiyanti Djauhari, Teuku Dodi Sandra Dodo Zaenal Abidin Dwi Putri, Salsabila An-nisa Effiyaldi Efrima, Randa Bias Elisa, Vioren Eltha, Rico Janpria Erick Fernando Erick Fernando Fachruddin Fachruddin Fachruddin Fadillah Effendi, Husnil Fardinal Maidoni Fournia Nova Hakim, Ibnu Hakim, Muhammad Furqan Hamzah, Kamandanu Harjun Saputra Haryati Haryati Hendrawan Hendrawan Hendri Hendri Hendri Hendri Herry Mulyono Herti Yani Ibnu Sani Wijaya Ilhami, Mohamad Indrawata Wardhana Indria, Lily Irwan Kurniawan Iskandar Iskandar Jasmir Jasmir Jasmir, Jasmir Joni Devitra Joni Devitra, Joni Joni Joni Juadli, Minal Junaidi Junaidi Jupri Jupri Kevin Kurniawansyah Khairul Fuadi Kiki Windia Arifta Kurniabudi Kurniabudi, Kurniabudi Lies Aryani Lola Yorita Astri Lubis, Nia Paramitha Mahruzar, Mahruzar Manja Purnasari Martono Martono Martono Martono Martono Martono Martono Mashuri Mashuri Mawaddatarrohmah Meisak, Despita Moh. Ismail Mubarak, Ahmad Zaky Muchlis, Rafi Akbar Muhamad Ihsan Suzeta Muhammad Firman Kahfi Muhammad Rizki Saputra Musi Andi, Aprisal Nabilah Ramadhan, Nabilah Naralia, Mirah NURHADI Nurhadi Nurhadi Nurhadi Nurhayati Nurhayati Osviarni, Rice Padila, Siti Pahlevi. B, M. Riza Parlindungan H, Edwardo Pebriana, Retno Pradana, Lazuardi Yudha Prasetio, Luky Prastiwi, Hani Pratama, Anggi Andika Purnama, Benni Purnamasari, Ade Putri Sabila , Wilda Rasyad, Haza Ibnu Renaldi Yulvianda Rizky Rachmadiyanto ROBY SETIAWAN Rohaini, Eni Rokhmah, Zakiyatur Rolly Maulana Awangga, Rolly Maulana S, Elly Gustiyani Safitri, Feny Sambodo, Prakoso Setyo Santoso Santoso Saputra, Harjun Saquro, Abdan Sasgita, Nabila Sharipuddin, Sharipuddin Sika, Xaverius Sika Soyata, Agung Raga Suprapto, Cahyo Adi Susanti , Eka Sutoyo, Mochammad Arief Hermawan Syafrial Fachri Pane, Syafrial Fachri Syaifudin, Asep Syaputra, Abe Wisnu Tamala, David Tandy, Juliana Tanjung, Sawaluddin F Titania Arida Nandini Treseli, Nerviana Trivenna, Priskha Widjaja, Calvinia Flora William William Xaverius Sika Sika Yaticha, Ni Luh Ayu Yoga Pranata Yosefina Venus Yuni Utami, Tri Dewi Zulgani Zulgani