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All Journal Komunikasi Fisika Indonesia Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Pengabdian UntukMu NegeRI Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Journal of Applied Business and Technology PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Proksima Jurnal Pengabdian Kompetitif Prosiding SNTTM
Dodi Sofyan Arief
Universitas Riau
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences

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AI-Based Digital Twin Development for Optimizing Hydrogen Production, Distribution, and Business Profitability Nicholas Renaldo; Jaswar Koto; M. Dalil; Dodi Sofyan Arief; Sulaiman Musa; Nindy Daviny; Cecilia Cecilia; Kristy Veronica
Journal of Applied Business and Technology Vol. 7 No. 1 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/s04p2v22

Abstract

The transition toward a low-carbon energy system has increased interest in green hydrogen as an energy carrier for renewable energy integration, industrial applications, and sustainable transportation. However, the economic competitiveness of hydrogen remains constrained by the complexity of coordinating renewable-energy availability, electrolyzer operation, hydrogen storage, distribution, market demand, and profitability. This study proposes an AI-Based Hydrogen Business Digital Twin (HBDT) to optimize hydrogen production, distribution, and business profitability through an integrated digital decision-making framework. The research employs a simulation-based development approach that combines Digital Twin technology, Artificial Intelligence, predictive analytics, multi-objective optimization, and techno-economic analysis. Several machine-learning models, including Random Forest, Support Vector Regression, XGBoost, Artificial Neural Network, and Long Short-Term Memory (LSTM), are evaluated for predictive performance. The simulation results indicate that LSTM provides the strongest performance, achieving an MAE of 0.041, RMSE of 0.068, and R2 of 0.981. Scenario analysis demonstrates that profitability increases from 12.5% under fixed production and distribution to 32.4% under the integrated AI, Digital Twin, and optimization scenario. The techno-economic simulation further indicates reductions in hydrogen production cost, levelized cost of hydrogen, and distribution costs, accompanied by improvements in renewable-energy utilization, revenue, ROI, and payback period. These findings demonstrate that the proposed HBDT can transform hydrogen management from a static and reactive process into a predictive, prescriptive, and potentially autonomous business ecosystem. The study contributes to the emerging concept of Hydrogen Business 4.0, in which technical operations and economic decisions are continuously optimized through AI and Digital Twin technologies.
Performance Analysis of the YOLOv8 Algorithm for Detecting of Stacked Defective Oil Palm Fresh Fruit Bunches on a Moving Conveyor Minarni Shiddiq; Dodi Sofyan Arief; Roni Salambue; Cindi Melinda Malau; Yohana Christia Navili; Vicky Vernando Dasta; Muhammad Ikhsan Hamid; Nanda Syaputra
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 2 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i2.638

Abstract

Crude palm oil (CPO) is the leading export commodity for countries such as Indonesia and Malaysia. The quality of CPO depends on the raw material and oil palm fresh fruit bunches (FFB). Various sorting and grading methods based on computer vision and machine learning have been developed to assess FFB quality automatically. However, most research has focused on fruit ripeness. In fact, empty bunches, rotten fruit, long stalks, and thorny or spiky bunches are also sorting parameters and are categorized as defective FFBs. This study aims to evaluate the performance of the YOLOv8l-Seg and YOLOv8x-Seg models in detecting and segmenting normal and defective FFBs stacked on a moving conveyor. Stacked FFBs mean there is more than one FFB in a camera field of view (FOV), which is easily found during the real-time sorting process. The dataset consists of five classes: normal, long stalks, thorny, empty, and rotten bunches. Evaluation was conducted using the mean Average Precision (mAP), accuracy, precision, recall, and F1-score metrics. The results show that YOLOv8x-Seg obtained 93% accuracy and 95% mAP. The YOLOv8l-Seg reached 92% accuracy and 93.4% mAP. Therefore, both models have the potential to be applied in real-time automated oil palm FFB sorting and grading systems.
Design for Manufacture and Assembly (DFMA) Analysis of a Finger Protection Device for Safer Household Nail Hammering Akbar Anggriawan; Dodi Sofyan Arief; Anita Susilawati
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 2 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i2.637

Abstract

This study evaluates a finger protection device for safer household nail-hammering using the Design for Manufacture and Assembly (DFMA) method. The device was developed as a personal protective device to reduce the risk of finger injuries caused by accidental hammer impacts and unstable nail positioning. The methodology comprised problem identification, literature review, Computer-Aided Design (CAD), manufacturing process analysis, and DFMA-based assembly evaluation using the Boothroyd-Dewhurst method. The device consists of five main components: Finger Protector 1, Finger Protector 2, Shaft, Holder 1, and Holder 2. Manufacturing processes included turning and drilling operations. The results show that the total manufacturing and assembly time was 2,983.33 s for stainless steel and 3,048.33 s for carbon steel, while the assembly time was 24.33 s with a design efficiency of 62%. Structural simulation using the von Mises criterion resulted in a maximum equivalent stress of 2.5 MPa and a safety factor of at least 15 for both materials. The safety factor was evaluated by comparing the material strength limit with the maximum equivalent stress under the applied loading condition, with a safety factor greater than unity indicating that the calculated stress remains below the selected material strength limit. These results indicate that the proposed device provides adequate structural strength, which maintaining effective manufacturing and assembly characteristics for household nail hammering applications.
Co-Authors Abdul Khair Junaidi Achmad Tavip Junaedi Adhy Prayitno Adhy Prayitno Adhy Prayitno, Adhy Afrizal, Efi Agus Reforiandi Agus Reforiandi Agus Surya Permana Agus Surya Permana Ahmad Romadani Akbar Anggriawan Akbar Anggriawan Akbar, Mustafa Alvi Hidayat Amani, Nahrul Amir Hamzah Amri Pahlevi Amries Rusli Tanjung Andri Andri Anggraini Dwi Saputri Anggraini Dwi Saputri Anita Susilawati Anita Susilawati Anjananda Vitodi Annisa Wulan Sari Annisa Wulan Sari Ari Andriyas Puji Asral, Asral Athiyyah Rieke Hisana Athiyyah Rieke Hisana Atmaja, Hikmah Aulia Rahman Aulia Ramadhan Aulia Ramadhan Awaludin Martin Ayunita, Dyna Barib Bramawira Bayu Wiguna Brian Agung Cahyo P. Brilliant Yosef Pandapotan Cecilia Cecilia Cecilia, Cecilia Choir, Mustofa Cindi Melinda Malau Darmansyah Darmansyah Deden Mamun Sajaah Dedy Masnur, Dedy Deni Pranata Dian Haryanto Dinni Agustina Dinni Agustina Dinova, Alfito Doni Saputra Doni saputra Dyna Ayunita Edy Fitra Eko Jadmiko Eko Jadmiko Elgi Oki Andeska Erizal Hamdi Ervan Kurniawan Fauzul Hamdi Siregar Feblil Huda Fifi Puspita Fikri Aulia Firdaus M Fitra, Edy Galuh Leonardo Sihombing Gamal Fiqih Handonowarih Ginting, Yogie Rinaldy Gusrio Tendra Hanif Nugroho Aji Harris Aminuddin Harry Patuan Panjaitan Hendri Yanto Herisiswanto Herisiswanto Heru Pranoto I Gusti Bagus Wiksuana Ida Ayu Putu Sri Widnyani Ihsan, Rizki Al Ikhsan Rahman Husein Ilyandi, Rifki Imnadir, Imnadir Indro Parma Iskandar, Anwar Iwan Kurniawan Iwan Kurniawan Jahrizal Jaswar Koto Jheri Hermanto Johanes, Erik Sitio Junaidi, Abd Khair Keno Widodo Koto, Jaswar Koto, Jaswar Kristy Veronica Kurnia, Andry M Dalil M. Hanif Aprilyansah Mendofa, Dyon Shaputra MERRY SISKA Mhd Irvan Irwana Midriem Mirdanies Midriem Mirdanies Minarni Minarni Minarni Shiddiq Minarni Shiddiq, Minarni Mintarto . Mintarto, Mintarto Muflihana, Afdila Muflihana, Afdila Muftil Badri Muhammad Anjar Arrohman Muhammad Ikhsan Hamid Munirah, M. Musa, Sulaiman N. Nazaruddin Nanda Syaputra Nicholas Renaldo Nindy Daviny Novry Harryadi Nyoto Okazar, Okazar Putri Nawang Sari Putri Nawangsari Rahmat Hidayat Rahmat, Ridho Zarli Rahmatsyah Maksum Ramsi Rebecca La Volla Nyoto Romy . Roni Salambue Roni Salambue Saputra, Rachman Sarmaini Fridawaty SATRIYAS ILYAS Sherif, Jamaluddin Md Shodikin, Shodikin Sihombing, Galuh Leonardo Sihotang, Samsul Bahri Simaskot, Johar Sinta Afria Ningsih Siswahyudianto Sitio, Erik Johanes Solih, Aji Mahmud Sugianto, Irwan Suhardjo Sukemi Indra Saputra Sukma Aditya Sulaiman Musa Sunny Ineza Putri Syafri, Syafri Syahru ramadonal Tekad Indra Pradana Abidin, Tekad Indra Pradana Toni Darji Ulfa Hasnita Veronica, Kristy Vicky Vernando Dasta Wahid, Nabila Wasilah . Wilda Susanti Yohana Christia Navili Yohanes Yohanes Zulfebri Zulfebri