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All Journal Economic Journal of Emerging Markets MATEMATIKA Jurnal Ilmu Lingkungan Jurnal Ilmu Komunikasi Nurani: Jurnal Kajian Syariah dan Masyarakat Forum Geografi Matra Pembaruan: Jurnal Inovasi Kebijakan Jurnal Geografi, Edukasi dan Lingkungan Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Jurnal Riset Informatika BHUMI: Jurnal Agraria dan Pertanahan Jurnal EDUCATIO: Jurnal Pendidikan Indonesia Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Ketenagakerjaan Jurnal Energi Baru dan Terbarukan International Journal of Humanities Education and Social Sciences Scientific Contributions Oil and Gas
Irdam Ahmad
Universitas Pertahanan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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COMPARATIVE ANALYSIS OF PATHFINDING ARTIFICIAL INTELLIGENCE USING DIJKSTRA AND A* ALGORITHMS BASED ON RPG MAKER MV Riska Nurtantyo Sarbini; Irdam Ahmad; Romie Oktovianus Bura; Luhut Simbolon
Jurnal Riset Informatika Vol. 4 No. 3 (2022): June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (931.458 KB) | DOI: 10.34288/jri.v4i3.186

Abstract

In most games, an artificial pathfinding intelligence is required for traversing the fastest discovery. It is essential for many video games, particularly Role Playing Games (RPGs). The algorithm pathfindings implemented in this game are A* and Dijkstra Algorithms. This study aims to test an artificial intelligence system for discovering routes using the A* and Dijkstra algorithms based on RPG Maker MV. The result showed that from the time obtained, in the experiment on eight nodes using the Pathfinding mechanism of A* algorithm has faster result in discovering the nearest route with the time 08:15:23 with format (mm:ss: ms) whereas Dijkstra Algorithm has a 34:47:43 time result. The time record needed represents the distance between the search nodes. It indicates that the multiple weighting in the impassable nodes caused the cost calculation process becomes faster and more efficient.
Process Simulation and Optimization of Green Hydrogen Production from Rubberwood Sawdust Pellets Via Gasification Using Unisim Design for Oil Refining Basuki Rahmad Saleh; Irdam Ahmad; Herlina Juni Risma Saragih; Agus Adriyanto; Abdul Rozak Kodarif; Fauzi Yusupandi; Damayanti; Muhammad Rifqi; Hanif Fawaz Za’im; Yazid Bindar
Scientific Contributions Oil and Gas Vol 49 No 3 (2026)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v49i3.2172

Abstract

Indonesia pushes to expand renewable energy to create growing interest in low carbon hydrogen. Rubberwood processing generates large volumes of sawdust that are commonly pelletized for fuel, offering a locally available biomass feedstock for hydrogen rich gas production. This study evaluates the potential of producing green hydrogen from rubberwood sawdust pellets through gasification using process simulation. Feedstock properties were determined through proximate and ultimate analyses and implemented in a two stage simulation framework consisting of pyrolysis followed by gasification. The model was validated against published experimental data for steam gasification of wood residue, and the deviation between predicted and reference gas compositions was evaluated using the root mean square error. After validation, sensitivity analyses were conducted at a gasifier temperature of 700 °C for three gasifying agent configurations: steam only, steam with air, and steam with oxygen. Under steam-only operation, increasing S/B from 0 to 1.0 increased H₂ from approximately 44 to 56 mol%, while HEE increased from about 27 to 36% and LHV decreased from about 11.4 to 8.6 MJ/Nm³. Under steam plus air, increasing S+E/R to about 1.0 reduced H₂ from approximately 56 mol% to near zero while CO₂ increased from about 30 to 85 mol%. Under steam plus oxygen, increasing O/B to 1.0 reduced H₂ from approximately 56 to 22 mol% and increased CO₂ from about 30 to 73 mol%. Overall, the results indicate that steam rich and oxygen lean operation is the most favorable pathway for enhancing hydrogen rich gas production from rubberwood sawdust pellets and provide a simulation basis for selecting operating conditions to support national energy resilience.
Defense financing self-reliance through military asset management optimization: a strategic model Irdam Ahmad; Amarulla Octavian; Guntur Eko Saputro; Susilo Wardoyo; Subur Wahono
Jurnal EDUCATIO: Jurnal Pendidikan Indonesia Vol. 12 No. 1 (2026): Jurnal EDUCATIO: Jurnal Pendidikan Indonesia
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1202627247

Abstract

The state’s limited fiscal capacity amid increasing defense force development requirements calls for sustainable alternative financing sources. The Indonesian National Armed Forces (TNI) possesses state assets with strategic and economic value; however, their utilization remains suboptimal due to regulatory, governance, institutional, and stakeholder-coordination constraints. This study aims to analyze the factors affecting the optimization of TNI asset management, formulate an asset management model as a strategic defense-financing instrument, and develop policy recommendations to support national defense self-reliance. The study employs a mixed-methods approach with a sequential exploratory design. The qualitative phase uses in-depth interviews, observation, document analysis, and Focus Group Discussions (FGDs) with relevant stakeholders. Data are analyzed using NVivo, Soft Systems Methodology (SSM), SWOT, and Cost-Benefit Analysis (CBA) to identify problems and formulate a conceptual model. The model is then validated quantitatively using Structural Equation Modeling–Partial Least Squares (SEM-PLS). This study is expected to produce a TNI Asset Management Optimization Model integrating regulation, governance, institutions, partnerships, investment, and risk management within a sustainable defense-financing framework. The model is expected to improve the effectiveness of TNI asset utilization, strengthen independent defense financing, reduce dependence on the State Budget (APBN), and provide a basis for adaptive, accountable defense-asset management policies oriented toward strengthening the national defense posture.
Co-Authors Abdul Rozak Kodarif Adriyanto, Agus Amarulla Octavian Anwar Arifin Asral Efendi Basuki Rahmad Saleh Bura, Romie O. Damayanti David Yacobus Diah Novita Sari Edi Suhardono Efendi, Asral Fauzi Yusupandi Guntur Eko Saputro Hanif Fawaz Za’im Henry Setyanto Herlina Juni Risma Saragih Laksmono, Rudy Lucia Ratnasari Luhut Simbolon M. Adnan Madjid M. Syamsul Maarif Madjid, M. Adnan Mirad Fahri Moelyanto Moelyanto Muhamad Alfikri Muhammad Rifqi Nugroho, Fajar Bayu Ocktovina Soroeday, Yoice Pahlevi, Rinaldi Prabaswari Rinaldi Pahlevi Riska Nurtantyo Sarbini Rusnah Setiani Sahrun Gultom Sa’dianoor Sa’dianoor Sobar Sutisna Subur Wahono Susilo Wardoyo Suyono Thamrin Thamrin, Suyono Toruan, Tahan Samuel Lumban Toruan, Tahan Samuel Lumban Ulul Azmi Wawan Rukmono, Linus Yoseph Yazid Bindar