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All Journal Edutech: Jurnal Teknologi Pendidikan MEDIA EKONOMI & TEKNOLOGI INFORMASI Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JSI: Jurnal Sistem Informasi (E-Journal) CommIT (Communication & Information Technology) Jurnal Penelitian Ekonomi dan Bisnis Jurnal Manajemen Atma Jaya JAIS (Journal of Applied Intelligent System) Journal of Animation & Games Studies Binus Business Review Journal of Information System JADECS (Journal of Art, Design, Art Education and Culture Studies) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA International Journal Ihya' 'Ulum al-Din CogITo Smart Journal Indonesian Journal of Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING IJISTECH (International Journal Of Information System & Technology) Jurnal Telematika Adimas : Jurnal Pengabdian Kepada Masyarakat ComTech: Computer, Mathematics and Engineering Applications CSRID (Computer Science Research and Its Development Journal) JE (Journal of Empowerment) Jurnal Audience Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) IJISTECH Jurnal Litbang Kota Pekalongan Media Jurnal Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Manajemen Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) MANGGALI JGGAG (Journal of Games, Game Art, and Gamification)
Indra Gamayanto
Universitas Dian Nuswantoro
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Optimizing F1 Tyre Performance Prediction with SVC, XGBoost, and Optuna For Dutch GP 2022 Anandatama, Dimas Haydar; Gamayanto, Indra
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11452

Abstract

Formula 1 has evolved into a data-centric sport where strategic decisions, particularly tire compound selection (Soft, Medium, Hard), are critical for success. The ability to accurately identify a competitor's compound from observable telemetry data offers a significant strategic advantage, yet the predictive signals are subtle and difficult to distinguish. This study implements and compares two distinct machine learning methodologies to classify F1 tyre compounds using telemetry data from the 2022 Dutch Grand Prix. First, a baseline model was established using standard dynamic features (e.g., avg_speed, avg_rpm). While this approach confirmed the superiority of XGBoost over SVC, it yielded a modest accuracy of 67.99% and revealed a critical deficiency: a failure to reliably identify the HARD compound, registering a poor F1-score of 0.57. To address these limitations, an advanced methodology was developed, integrating hybrid feature engineering (e.g., LapTime, SectorTime, TyreLife) with deep hyperparameter optimization via Optuna. This enhanced approach resulted in a significantly more robust XGBoost model, achieving a final, stable accuracy of 77.34%. More importantly, it solved the baseline's primary flaw, increasing the F1-score for the critical HARD compound by 36.8% to 0.78. A feature importance analysis confirmed this methodological shift, as the most dominant predictors changed from the baseline's generalized avg_speed to the advanced model's outcome-based features (LapTime, Sector3Time). The findings definitively conclude that while algorithm selection is important, the most critical factor for this task is the quality of feature engineering. Integrating outcome-based and strategic-context features is essential to successfully extracting the subtle performance signatures that differentiate F1 tyre compounds.
Security Evaluation of Keycloak-Based Role-Based Access Control in Microservice Architectures Using the OWASP ASVS Framework Gamayanto, Indra; Christ Kurniawan , Michael; Klavin Sanyoto , Gabriello
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11604

Abstract

The Rocket Car Wash Semarang application operates using a microservice architecture that handles sensitive information such as user identity data, transaction history, and vehicle details. As multiple services interact through authenticated API calls, strong access control is required to protect the system from unauthorized access and privilege escalation. This research evaluates the Keycloak-based Role-Based Access Control (RBAC) implementation by referencing relevant domains of the OWASP Application Security Verification Standard (ASVS) Level 2, specifically V2: Authentication, V3: Session Management, V4: Access Control, and V14: Configuration. The RBAC structure consists of three primary roles—Admin, Owner, and Customer—and the assessment examines the correctness of role–permission mapping and token-based authorization across microservices. The security evaluation was conducted through configuration auditing, API endpoint verification using Postman, JWT token validation, and automated penetration testing using OWASP Zed Attack Proxy (ZAP). The ZAP scan targeted common web vulnerabilities, particularly misconfigurations and weaknesses in HTTP security headers. The results indicate that Keycloak effectively enforces centralized authentication and authorization, with no critical issues such as Broken Access Control identified. However, several non-critical weaknesses were found, including incomplete Content Security Policy (CSP) directives and missing HSTS headers. These findings show that the RBAC implementation meets core ASVS Level 2 controls, while further improvements in security header configuration are required to enhance overall system resilience.
Addressing Extreme Class Imbalance in Multilingual Complaint Classification Using XLM-RoBERTa Ariyanto, Muhammad; Alzami, Farrikh; Sani, Ramadhan Rakhmat; Gamayanto, Indra; Naufal, Muhammad; Winarno, Sri; Iswahyudi
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11606

Abstract

Government complaint management systems often suffer from extreme class imbalance, where a few public service categories accumulate most reports while many others remain under-represented. This research examines whether simple class weighting can improve fairness in multilingual transformer models for automatic routing of Indonesian citizen complaints on the LaporGub Central Java e-governance platform. The dataset comprises 53,877 Indonesian-language complaints spanning 18 service categories with an imbalance ratio of about 227:1 between the largest and smallest classes. After cleaning and deduplication, we stratify the data into training, validation, and test sets. We compare three approaches: (i) a linear support vector machine (SVM) with term frequency inverse document frequency (TF-IDF) unigram and bigram and class-balanced weights, (ii) a cross-lingual RoBERTa (XLM-RoBERTa-base) model without class weighting, and (iii) an XLM-RoBERTa-base model with a class-weighted cross-entropy loss. Fairness is operationalised as equal importance for categories and quantified primarily using the macro-averaged F1-score (Macro-F1), complemented by per-class F1, weighted F1, and accuracy. The unweighted XLM-RoBERTa model outperforms the SVM baseline in Macro-F1 (0.610 vs 0.561). The class-weighted variant attains similar Macro-F1 (0.608) while redistributing performance towards minority categories. Analysis shows that class weighting is most beneficial for categories with a few hundred to several thousand samples, whereas extremely rare categories with fewer than 200 complaints remain difficult for all models and require additional data-centric interventions. These findings demonstrate that multilingual transformer architectures combined with simple class weighting can provide a more balanced backbone for automated complaint routing in Indonesian e-government, particularly for low- and medium-frequency service categories.
Improvement of User Experience Evaluation For SMEs Digital Application Using TRI, TAM, SUS Integration Ismanto, Ivan; Gamayanto, Indra; Sanyoto, Gabriello Klavin
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11736

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in the service sector, particularly vehicle wash services, continue to face challenges related to queue management, service transparency, and operational efficiency, which negatively affect user experience. This study aims to develop and evaluate a mobile-based service booking and management application prototype by integrating the Design Science Research (DSR) approach with the Technology Readiness Index (TRI), Technology Acceptance Model (TAM), and System Usability Scale (SUS) as an evaluation framework. The artifact was developed through DSR stages, including problem identification, design, demonstration, and evaluation. Qualitative data were collected through interviews with MSME owners, employees, and customers and analyzed using Thematic Analysis. Quantitative evaluation involved 106 respondents to measure technology readiness, user acceptance, and usability quality, accompanied by a descriptive analysis of relationships among the constructs. The results indicate a high level of technology readiness (TRI = 3.53) and very strong user acceptance (TAM = 4.27). However, the usability score falls within the marginal acceptable category (SUS = 62.95), indicating a gap between conceptual acceptance and actual interaction quality. These findings demonstrate that integrating TRI–TAM–SUS within the DSR framework effectively identifies critical contradictions that can serve as a basis for refining UI/UX design and implementation strategies for digital applications in service-based MSMEs.
UI/UX SISTEM INFORMASI PRODUKSI HARIAN BERBASIS WEB MENGGUNAKAN METODE PROTOTYPE PADA PT DAW SON INDONESIA Dewi Eldiana Zahra; Aris Nurhindarto; Indra Gamayanto; MY Teguh Sulistyono
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8226

Abstract

Daily production data recording at PT Daw Son Indonesia is currently carried out using paper-based media and manual spreadsheets, leading to information delays, human error risks, and a lack of real-time monitoring. This study aims to design and develop a web-based, integrated production reporting information system to support tactical management decision-making. The system development explicitly utilized the Prototype method, emphasizing an iterative cycle with users to ensure functional alignment. The application was developed using the PHP programming language and a MySQL database. Functional testing was performed using the Black Box Testing method in a standardized environment. The test results demonstrated a system success rate of 94.44% (17 out of 18 scenarios met), where role-based authentication modules, production data management (CRUD), automated achievement calculations, and security protection against SQL Injection and XSS vulnerabilities functioned optimally according to specifications. Overall, this information system is declared highly feasible for implementation to enhance operational efficiency, guarantee daily data accuracy, and accelerate manufacturing trend monitoring at PT Daw Son Indonesia.
Penerapan Arsitektur Enterprise pada Pelayanan Pendaftaran Anggota pada Fitnation Premiere Gym Indra Gamayanto; Galih Mentari Pangesti; Ramadhan Rakhmat Sani
JOINS (Journal of Information System) Vol 7 No 2 (2022): Edisi November 2022
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v7i2.6396

Abstract

Fitnation Premiere Gym merupakan usaha yang bergerak di bidang jasa layanan fitness center kepada masyarakat yang ingin berolahraga dalam menjaga kebugaran tubuh dan pembentukan tubuh yang ideal. Untuk meningkatkan kualitas manajemen dan pelayanan, perlu adanya sistem informasi yang membantu dalam proses manajemen dan kinerja. Aktivitas bisnis utamanya adalah pendaftaran anggota, sistem pembayaran dan paket program mereka masih menggunakan sistem, database, aplikasi dan teknologi yang belum saling terintegrasi. Pengelolaan data, verifikasi pembayaran, pelaporan dan persetujuan kegiatan masih dilakukan secara manual. Dalam hal ini memiliki banyak resiko seperti kesalahan dalam pencatatan, waktu yang dibutuhkan untuk pendaftaran anggota relatif menjadi lebih lama, dan informasi yang dibutuhkan tidak terintegrasi. Dalam perencanaan strategis IS/TI sangat diperlukan suatu enterprise architecture agar dapat tercapai keselarasan strategi IS/TI dengan strategi bisnis dari organisasi untuk mengatasi permasalahan guna mewujudkan visi, misi, dan tujuan organisasi. Penelitian ini menggunakan metodologi TOGAF ADM dimulai dari preliminary phase, requirement management, architecture vision, business architecture, information system architecture, technology architecture, opportunities and solution, hingga migration planning. Hasil dari penelitian ini, yaitu suatu usulan model TOGAF ADM yang disesuaikan dengan proses dan kebutuhan bisnis dari fitness center dalam merancang Enterprise Architecture untuk perencanaan strategis IS/TI.
COMMUNITY SERVICE THROUGH THE TRAINING PROGRAM “THE END & RISE OF BOARD GAME” AT SMA NEGERI 3 SEMARANG AND DHADHU BOARD GAME SEMARANG Setyo Budi; Indra Gamayanto; Sasono Wibowo; Budi Widjajanto; Achmad Wahid Kurniawan; Hanny Haryanto; Aries Setiawan
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 4 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i4.2025.624-635

Abstract

This community service program aimed to provide training on the utilization of board games as a learning medium at SMA Negeri 3 Semarang in collaboration with Dhadhu Board Game Café. The implementation methods included needs analysis, material preparation, training sessions, and evaluation using questionnaires. A total of 40 students participated in the program. The evaluation results showed that 75% of participants understood the concept and benefits of board games, 60% considered board games helpful in enhancing analytical skills, and 70% reported improved self-confidence and teamwork ability. The tangible impact of this activity was an increased awareness among students of the potential of board games as an interactive and engaging alternative learning medium. Practically, this program provides implications for teachers to integrate board games into classroom learning and opens opportunities for further research on long-term effectiveness.
Pelatihan Google Classroom untuk Guru SMP 25 dalam Pengelolaan Kelas Digital Sasono Wibowo; Indra Gamayanto; Suharnawi Suharnawi; Titien Suhartini Sukamto; Harini Harini
Manggali Vol 6 No 1 (2026): Manggali
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/manggali.v6i1.4356

Abstract

Kebutuhan akan teknologi pada zaman sekarang, sangat dibutuhkan. Teknologi menjadi salah satu faktor penentu utama dalam mengembangkan pendidikan. Pengabdian masyarakat ini akan berfokus pada pelatihan terhadap guru SMP terutama penggunaan Google Classroom. Hal ini sangat efektif dan efesien dalam proses belajar mengajar. Di sisi lain, para murid akan mendapatkan banyak manfaat dalam proses belajar ini. Google Classroom ini akan sangat membantu guru dan murid berinteraksi secara online dan kelas online akan dapat berjalan dengan baik. Hasil dari pengabdian masyarakat ini adalah guru-guru akan dapat menggunakan Google Classroom dengan baik dan murid akan mendapatkan banyak manfaat dari pelatihan Google Classroom
Co-Authors -, Suhariyanto Abas Setiawan Abas Setiawan Abdul Syukur Achmad Wahid Kurniawan Acun Kardianawati Adriana Dina Agus Prayitno Agus Winarno, Agus Ahmad Zainul Fanani Al zami, Farrikh Alzami, Farrikh Anandatama, Dimas Haydar Angelia Dwi Ceissa Anggraini, Dinda Arief Setyayoga Aries Setiawan ARIYANTO, MUHAMMAD Arta Moro Sundjaja, Arta Moro Asih Rohmani Asih Rohmani Asih Rohmani Asih Rohmani, Asih Budi Widjajanto Budi, Setyo Christ Kurniawan , Michael Christian, Henry Daniswara Sirwenda, Alfian Bisma De Rosal Ignatius Moses Setiadi Dena Trixie Rahma Tifany Destya Khairuna Desy Dwi Prasetyowati Devi Ajeng Efrilianda Devi Purnamasari Dewi Agustini Santoso Dewi Agustini Santoso Dewi Eldiana Zahra Edi Faisal efrilianda, Devi ajeng efrilianda Elok Iedfitra Haksoro Fahmi Amiq Fajrian Nun Adnan Farrikh Al Zami Farrikh Al Zami Fenny Angelina Fitri Febriani Florentina Esti Nilasari Florentina Esti Nilawati Florentina Esti Nilawati Galih Mentari Pangesti Hadi, Heru Pramono Hanny Haryanto Harini Harini Harini Harini Harisa, Ardiawan Bagus Henry Christian Henry Christian Herisa, Ardiawan Bagus Herman Try Maulana Herowati, Wise I Gusti Bagus Wiksuana Ibnu Utomo WM Ihya Ulumuddin, Dimas Irawan Ismanto, Ivan Iswahyudi Klavin Sanyoto , Gabriello Kurniadi, Agung Kurniawan, Michael Christ Kustiadi, Josse Kustiadi, Kustiadi Lusi Noviani Prasetyo Mailangkay, Adele B L Marjuni, Aris Maulana, Herman Try Melianie, Melianie Muhammad Naufal MY. Teguh Sulistyono Nugraha, Alvin Satria Nugraha, Rizka Nurhana Rifki, Slamet Ikhvan Nurhindarto, Aris Prabawaseputra, Rafael Agusto Prasetyo, Lusi Noviani Purnamasari, Devi Ramadhan Rakhmat Sani Rifki, Slamet Ikhvan Nurhana Rindang Widuri Rizka Nugraha S, Dewi Agustini Sanyoto, Gabriello Klavin Saroji Saroji Sasono Wibowo Sendi Novianto Sendi Novianto Sendi Novianto Sendi Novianto Setiawan, Aries Setyo Budi Setyo Budi Setyo Budi Sirait, Tamsir Hasudungan Sirwenda, Alfian Bisma Daniswara Sri Winarno Sri Winarno Suharnawi Suharnawi Suharnawi Suharnawi Suharnawi Sukamto, Titien Sukamto, Titien S Sukamto, Titien Suhartini Titien S Sukamto Titien S sukamto Titien S Sukamto Titien Suhartini Sukamto Titien Suhartini Sukamto Utomo WM, Ibnu Zaenal Arifin Zami, Farrikh Al