Article Per Year (5 Year)
p-Index From 2021 - 2026
1.683
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Studi Komunikasi dan Media JURNAL MANAJEMEN TRANSPORTASI & LOGISTIK Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Journal on Education Jurnal Perencanaan Pembangunan Jurnal Cafetaria Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) STRATEGI PERANG SEMESTA Formosa Journal of Science and Technology (FJST) Journal Research of Social Science, Economics, and Management Indonesian Research Journal on Education
Gultom, Rudy Agus Gemilang
Universitas Pertahanan Republik Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Transportation Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Utilization of Google Colaboratory to Determine the Relationship Between the National Defense Index (IBNU) and the Human Development Index (HDI) in Indonesia in 2023 Rifai, Bachtiar; Poniman, Aris; Gultom, Rudy Agus Gemilang; Wadjdi, Achmad Farid; Rifai, Salsabila Azzahra
Indonesian Research Journal on Education Vol. 4 No. 4 (2024): irje 2024
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v4i4.1546

Abstract

This study uses Random Forest model and statistical analysis to evaluate the relationship between the Index of State Defense (IBNu) and the Human Development Index (HDI) at the provincial level in Indonesia. The data includes the average IBNu, HDI in 2023, the manager's prediction, and data from the Indonesian Democracy Index (IDI) in 2021-2023. The model shows excellent prediction performance with a Mean Squared Error (MSE) of 0.0018 and an R² value of 0.97, indicating that the prediction results are very close to the actual data. The residual plot also shows that the model has no significant bias as the prediction error is evenly distributed around the zero line. Correlation analysis found that HDI has a strong positive correlation with education variables, such as Expected Years of Schooling and Average Years of Schooling, while IBNu is negatively correlated with economic growth, indicating that an increase in IBNu may have the effect of decreasing economic growth. The classification performance of the model was assessed using the confusion matrix, which showed accuracy, precision, recall, and F1 scores of 0.8, indicating the model's ability to distinguish between the various classes well. These results suggest that IBNu policies aimed at improving HDI may not always be effective and that a more comprehensive policy approach is needed. The proposed recommendations include the integration of national defense and human development programs into the school curriculum, balanced budget allocation, innovative programs for the community, support for the balance between security and welfare, and continuous research and evaluation.
Analisis Ulasan Pengguna Aplikasi Layanan Publik Berbasis Pemrosesan Bahasa Alami dan BERTopic Jabar, Jaka Abdul; Gultom, Rudy Agus Gemilang; Wadjdi, Achmad Farid
Indonesian Research Journal on Education Vol. 5 No. 1 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i1.2162

Abstract

Penelitian ini mengevaluasi ulasan pengguna Polri Super App di Google Play Store untuk mengidentifikasi masalah yang memengaruhi kepuasan pengguna. Dengan menggunakan teknik pemodelan topik berbasis Natural Language Processing (NLP), khususnya BERTopic, kami menganalisis 12.230 ulasan yang dikumpulkan antara Mei 2022 hingga Desember 2024. Hasil penelitian menunjukkan bahwa sebagian besar ulasan memberikan peringkat rendah, dengan lebih dari 50% pengguna memberikan peringkat satu bintang. Tema utama yang teridentifikasi mencakup masalah teknis seperti pembayaran yang kedaluwarsa, aplikasi yang sering tertutup sendiri (force close), waktu muat yang lama, dan kesulitan dalam verifikasi kode OTP. Temuan ini menyoroti perlunya perbaikan mendesak pada aspek fungsional inti aplikasi untuk meningkatkan kepuasan pengguna. Selain itu, penelitian ini menegaskan bahwa ulasan pengguna dapat menjadi sumber wawasan berharga dalam memahami persepsi masyarakat terhadap layanan publik digital, sehingga membantu pengembang meningkatkan kualitas layanan dan mendukung transformasi digital yang lebih efektif di sektor publik.
Geospatial Intelligent Analysis to Support Indonesian Airspace Defense Rahmandhala, Ilvan Dino; Supriyadi, Asep Adang; Prihanto, Yosef; Samingan, Muhammad; Gultom, Rudy Agus Gemilang
Formosa Journal of Science and Technology Vol. 3 No. 9 (2024): September 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i9.11555

Abstract

This study highlights the importance of Geospatial Intelligence (GEOINT) analysis in supporting Indonesia's airspace defense. In modern military operations, especially air defense, the role of GEOINT is crucial as it enables real-time detection, mapping, planning, surveillance, and analysis of aerial threats. This research aims to analyze the role and potential of GEOINT in supporting Indonesia's airspace defense and to provide strategic recommendations for strengthening air defense. The findings of this study are expected to guide policymakers in enhancing the effectiveness and efficiency of air defense through the use of GEOINT, as well as supporting the development of necessary geospatial infrastructure. This study employs the SEIM (Sensor Effector Information Management) hierarchical approach to integrate various data sources and analytical tools to enhance detection, mapping, planning, and surveillance capabilities in the context of air defense. The study finds that GEOINT enables deeper tactical and strategic situation analysis and can optimize weapon assignments to increase efficiency in military conflicts. To effectively implement GEOINT, investments in technology, data infrastructure development, personnel training, and international cooperation are necessary. The implementation of remote sensing satellites capable of providing real-time, high-resolution imagery will enhance threat detection and monitoring capabilities.
Design of Antasena: an AI-powered maritime surveillance and anomaly detection system for security decision support Badrudin, Arif; Sumantri, Siswo Hadi; Gemilang Gultom, Rudy Agus; Apriyanto, I Nengah Putra; Yuhana, Umi Laili; Ratnasari, Fitria Dwi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp269-288

Abstract

Indonesia’s vast maritime territory faces serious challenges from illegal fishing, smuggling, and habitat destruction. To address these, the Indonesian Navy (TNI-AL) developed Antasena, an artificial intelligence (AI)-powered smart dashboard integrating automatic identification system (AIS) data, satellite imagery, and conservation metrics. Antasena leverages advanced anomaly detection algorithms, achieving 95.3% accuracy, 94.7% precision, 94.2% recall, and a 96.8% receiver operating characteristic-area under the curve (ROC-AUC) score in identifying vessel anomalies, including unauthorized fishing and smuggling activities. Using the analyze, design, develop, implement, and evaluate (ADDIE) framework, the system supports real-time maritime surveillance and biodiversity monitoring in conservation zones. The main contributions of this study include the development of a user-centric AI-based dashboard for maritime anomaly detection, the integration of multi-source data with machine learning models, and validation through operational field tests with maritime authorities. Antasena offers a scalable and effective solution to strengthen maritime security and protect Indonesia’s marine resources.
Co-Authors Abraham Benedict Cahyasusila Abraham Benedict Cahyasusila Achmad Farid Wadjdi Amarulla Octavian Anatansyah Ayomi Anandari Andrian Andaya Lestari Apriyanto, I Nengah Putra ARIS PONIMAN Bachtiar Rifai Badrudin, Arif Bima Septiantoro Fachdy Nurdin Fachry Abda El Rahman Firdini, Firdini Jabar, Jaka Abdul Joni Widjajanto Masita Dwi Mandini Manessa MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI Moch Kuswanto Moch Kuswanto Pujo Widodo, Pujo Putra Negara Rahmandhala, Ilvan Dino Ratnasari, Fitria Dwi Rifai, Salsabila Azzahra Samingan, Muhammad Sudari Dahsan Sumantri, Siswo Hadi Supriyadi, Asep Adang Wadjdi, Achmad Farid Yosef Prihanto, Yosef Yuhana, Umi Laili