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All Journal Jurnal Optimasi Sistem Industri Transformatif: Jurnal Pengabdian Masyarakat Jurnal Riset danAplikasi Teknik Industri (JRATI) Jurnal Polimesin
Rama Dani Eka Putra
Universitas Bengkulu
Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences

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Perencanaan dan Optimasi Sistem Distribusi Air Bersih di Kecamatan Babahrot Berdasarkan Proyeksi Kebutuhan Masyarakat M. Arif Munanda; Nia Arfina Foci; Muhamad Yasin; Rama Dani Eka Putra; Tessa Zulenia Fitri
JURNAL RISET DAN APLIKASI TEKNIK INDUSTRI Vol. 4 No. 01 (2026): Volume 04 Issue 01, April 2026
Publisher : Study Program of Industrial Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JRATI.2026.v04.i01.p02

Abstract

community, especially in areas that are not fully covered by PDAM services. This study aims to analyze the potential of the Pante Rakyat Reservoir as a raw water source to support the clean water supply system in Babahrot District, Southwest Aceh Regency. The method used involves analyzing clean water needs based on existing population data, population growth projections for the next 5 to 25 years, and the reservoir's capacity. The results show that, out of a total of 12,520 people, approximately 4% of the population lacks access to clean water. Assuming a population growth rate of 3% per year, the estimated need for clean water is projected to reach 954,000 liters per day, or approximately 11.04 liters per second, and increase to 14.49 liters per second over the next five years. The water distribution plan is supported by the design of a 0.24-meter-diameter intake pipe system. The conclusion of this study suggests that the Pante Rakyat Reservoir has significant potential as a long-term raw water source and is worthy of optimization to meet the clean water needs of the Babahrot District community.
Impact of IoT Technology Implementation in the Manufacturing Sector: A Systematic Literature Review Rama Dani Eka Putra; Tessa Zulenia Fitri; Helmizar; Khotso Shai; Nia Arfina Foci; M. Arif Munanda; Muhamad Yasin; Handi Wilujeng Nugroho; Fuad Dwi Hanggara
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v25.n1.p94-119.2026

Abstract

The rapid development of IoT research in various fields has promoted the evolution of manufacturing in the Industry 4.0 context. However, the growing and dispersed literature makes it difficult to see the dominant trends and open challenges. The aim of the study is to synthesize the existing IoT research in the manufacturing, by analyzing the sectoral adoption, enabling technologies and implementation objectives. The review develops a systematic understanding of the links between manufacturing sectors, IoT technologies and operational priorities to identify dominant research directions and gaps for future research. A systematic literature review was conducted according to the PRISMA guidelines, screening and analysing peer-reviewed studies along three analytical dimensions: distribution by manufacturing sector, typologies of IoT technologies and strategic objectives of implementation. The analysis identified shared adoption patterns in some manufacturing sectors, common use of sensor-based and cloud-enabled technologies, and a high emphasis on productivity, monitoring and efficiency of operations. The results reveal a significant concentration of IoT research in discrete manufacturing, as well as noticeable attention in process manufacturing, healthcare and general manufacturing, while other sectors remain less explored, indicating an uneven research focus across industries. In terms of technology, Industrial IoT and smart manufacturing solutions are the most common, followed by IoT-enabled digital twin technologies, while the combination of IoT with artificial intelligence, machine learning, and computer vision indicates a growing shift towards more adaptive and intelligent systems. A smaller portion of IoT implementations are related to sensors and monitoring applications, blockchain enabled IoT solutions and distributed architectures, while middleware and system integration appear least often. Regarding implementation objectives, efficiency enhancement is the main driver, followed by predictive maintenance, quality control and productivity enhancement, and real-time monitoring, showing a strong orientation toward improving operational performance. In summary, the synthesis implies that the IoT research in manufacturing is mainly focused on discrete manufacturing applications, operational efficiency objectives, and intelligent automation technologies. The concentration indicates a continued research focus on production optimization, while broader contexts of industrial integration are relatively underexplored.
Effect of nitrogen gas-assisted cooling on TIG weld distortion and mechanical properties of AA5083 aluminum alloy Fuad Dwi Hanggara; Rama Dani Eka Putra; Tessa Zulenia Fitri; Handi Wilujeng Nugroho; Dhanang Suryo Prayogo
Jurnal Polimesin Vol 23, No 6 (2025): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i6.7910

Abstract

This study investigates the effect of nitrogen gas-assisted static cooling on weld distortion and mechanical properties of AA5083 aluminum alloy joined by Tungsten Inert Gas (TIG) welding. Although various cooling techniques have been reported to control heat input and distortion in aluminum welding, the combined influence of static nitrogen cooling and welding current on both distortion behavior and local mechanical properties of AA5083 remains insufficiently understood. Three welding current levels (100 A, 110 A, and 120 A) were applied while maintaining constant welding speed, arc voltage, and shielding gas flow. Mechanical properties, including tensile strength and Vickers hardness, were evaluated across the weld metal, Heat-Affected Zone (HAZ), and base metal. Thermal-induced distortion was analyzed using 3D profiling and validated through Analysis of Variance (ANOVA) statistical tests. The results indicate that a welding current of 100 A with static nitrogen cooling minimizes distortion and achieves the highest tensile strength (197.41 MPa). The highest yield strength was recorded at 120 A (160.31 MPa), while the maximum hardness values were observed in the weld metal at 110 A (135.83 VHN), HAZ at 120 A (117.63 VHN), and base metal at 100 A (124.1 VHN). Statistical analysis confirms that welding current significantly influences both distortion and mechanical outcomes (p 0.05), while the cooling method shows a moderate effect. These findings demonstrate that nitrogen-assisted static cooling offers a practical approach to improving weld quality by balancing dimensional stability and mechanical performance in precision aluminum welding applications.
Design, simulation, and experimental validation of a 50 kg biomass-fired coffee drying oven Agus Nuramal; Efran Riansyah Rahmat Jaya; Dedi Suryadi; Zuliantoni Zuliantoni1; Hardiansyah Hardiansyah; Rama Dani Eka Putra
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8603

Abstract

Despite coffee is one of the leading commodities in Bengkulu Province, the traditional drying process of coffee beans for 10-14 days are still a common practice. This research aims to design, fabricate, and evaluate the thermal performance of a 50 kg capacity wood-fueled coffee drying oven. A three-dimensional CFD model was developed using ANSYS Fluent to analyze temperature distribution within the drying chamber and optimize thermal performance prior to fabrication. Experimental testing was conducted to validate the numerical predictions under controlled operating conditions. The proposed technology is distinguished by its use of locally available biomass fuel. The results of the coffee drying oven simulation, under empty conditions, achieved the desired temperature based. The drying time for coffee beans in this research was 9 hours, achieving a moisture content of 10% to 13% (a moisture content of 12.5% is the Indonesian National Standard. Simulation results predicted chamber temperatures ranging from 67°C to 87°C with an inlet temperature of approximately 100°C, indicating adequate thermal conditions for drying. Experimental measurements showed good agreement with the CFD model, reaching near-steady thermal conditions within 25 minutes.
Building Independent Learning in Junior High School Students Through Training in Cloud-Based Digital Application Mastery Nia Arfina Foci; Edo Kurnia; Tessa Zulenia Fitri; Rama Dani Eka Putra; M. Arif Munanda; Muhamad Yasin
Transformatif: Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026)
Publisher : Universitas Islam Negeri Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/tranformatif.v7i1.12800

Abstract

This community service activity aims to improve the digital literacy of seventh-grade students at SMP Ar Risalah Islamic School Padang through training in cloud-based productivity applications. Initial observations indicate that most students still have limitations in utilizing digital technology for learning purposes. This program employed an educational-participatory intervention design, combining structured training with active learner involvement. The implementation followed three main stages: preparation, training delivery over two consecutive days in the school computer laboratory, and evaluation using pre-tests and post-tests. The training introduced students to Google Docs, Google Drive, and Canva as practical learning tools, while also promoting digital ethics aligned with Islamic values such as honesty, discipline, responsible technology use, and nationalism. Quantitative data were analyzed descriptively. The evaluation results show a significant improvement in students' digital knowledge and skills. The average cognitive pre-test score was 1.6 (out of 5), increasing to 3.8 on the post-test, representing an increase of 137.5%. The average practical skill score reached 7.6 out of 10. This activity proved effective in equipping students with basic digital skills and fostering positive attitudes toward productive and responsible technology use. This program is recommended for replication in other educational institutions to strengthen students' digital literacy from an early age.
Co-Authors Agus Nuramal Dedi Suryadi Dhanang Suryo Prayogo Edo Kurnia Efran Riansyah Rahmat Jaya Fuad Dwi Hanggara Handi Wilujeng Nugroho Hardiansyah Hardiansyah Helmizar - Khotso Shai M. Arif Munanda M. Arif Munanda Muhamad Yasin Nia Arfina Foci Tessa Zulenia Fitri Zuliantoni Zuliantoni1