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All Journal Journal Industrial Servicess OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Indonesian Journal of Halal Research Jurnal Optimalisasi Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Dinamika Kerajinan dan Batik : MAJALAH ILMIAH Brilliance: Research of Artificial Intelligence Jurnal Industri dan Inovasi (INVASI) Jurnal Polimesin Dinamika Kerajinan dan Batik: Majalah Ilmiah
Rizki Agam Syahputra
Universitas Teuku Umar
Religion Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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GIS-based hybrid AHP–random forest model for optimal waste transfer station siting: A case study Rizki Agam Syahputra; Sofiyanurriyanti Sofiyanurriyanti; Kasmawati Kasmawati; Risnadi Irawan; Mustafa Kamal; Putri Sarina Agustavia
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.34731

Abstract

Rapid urbanization and post-disaster recovery in developing cities present significant challenges for municipal solid waste management, escalating operational costs and environmental burdens. The primary logistical bottleneck is often the inefficient placement of intermediate waste infrastructure. This study addresses this gap by proposing and validating a novel hybrid spatial decision support framework for the optimal siting of Temporary Waste Transfer Stations (TWTS) in Meulaboh, Indonesia. The framework integrates a Geographic Information System (GIS) with the Analytic Hierarchy Process (AHP) and a Random Forest (RF) machine learning model. AHP structures the problem using expert knowledge and local regulatory standards to generate an initial suitability map. To overcome AHP's linearity and subjectivity, this map generates pseudo-labeled data to train the RF model, which learns complex, non-linear relationships among spatial factors. The RF model demonstrated exceptional performance with an Area Under the Curve (AUC) of 0.96. The framework evaluated 43 villages (Gampong), identifying specific areas in Meureubo and Johan Pahlawan as top candidates due to favorable land use and proximity to road networks. This hybrid approach offers a robust, transparent, and scalable methodology for post-disaster urban infrastructure planning.
Critical path identification in tuna export supply chain using Program Evaluation and Review Technique (PERT): A case study in Aceh, Indonesia Friesca Erwan; Shaumy Fadhilla; Prima Denny Sentia; Rizky Agam Syahputra
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.34652

Abstract

Tuna is one of the leading commodities in Aceh's coastal areas and has considerable export potential. However, managing the tuna export supply chain from Aceh to Jakarta involves several challenges, particularly delivery delays and extended processing lead times. To address these issues, this study applies the Program Evaluation and Review Technique (PERT) to identify and analyze the critical path activities within the tuna supply chain. The analysis was conducted based on actual data covering a complete supply chain cycle, including raw tuna procurement, processing, and distribution to Jakarta. The PERT evaluation estimated the total duration of one cycle to be approximately 22,684.297 minutes, equivalent to 15.75 days. The critical path requiring special attention comprises supplier operations at Laweung Port in Aceh, the CO treatment process in the processing facility, and transportation from Bakauheni Port to the forwarding company in Jakarta. This study recommends that tuna processing companies strengthen collaboration among all stakeholders to reduce critical path delays, enhance value-added activities, and maintain tuna stock quality throughout the supply chain.
Analisis Sistem Antrian pada Proses Penimbangan dan Sortasi TBS di PT RKM Iing Pamungkas; Heri Tri Irawan; Mahmud Basuki; Rizki Agam Syahputra; Viktor Mawar Berutu
Jurnal Industri dan Inovasi (INVASI) Vol 4, No 1 (2026): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v4i1.13352

Abstract

Within the palm oil industry, the process of weighing and sorting Fresh Fruit Bunches (FFB) at the beginning of the supply chain is crucial for determining the price and quality of palm oil. However, PT RKM, a palm oil processing company in Aceh Singkil, faces challenges such as potential inaccuracies in weight measurement, quality classification, and long queues that can reduce operational efficiency. These issues have the potential to cause financial losses and production delays. The objective of this study is to measure and analyze the queuing system in the FFB weighing and sorting process at PT RKM. This research uses a queuing model approach to evaluate the current system's efficiency. Data were collected through direct observation and interviews, with 30 samples of truck arrival and service times. The analysis method used includes creating an Activity Cycle Diagram (ACD), calculating the average inter-arrival and service times, and determining system performance metrics such as average waiting time and server idle percentage.The results of the study show that the PT RKM queuing system operated optimally on the day of observation. The average queue waiting time was zero, and the percentage of idle servers (weighing facilities) was also zero. This indicates that the current service capacity is adequate for the volume of vehicle arrivals, thereby minimizing losses and improving overall productivity.
Analysis of Factors Affecting Workforce Productivity in the Steel Tower Production Division of PT X Rizki Agam Syahputra; Riski Arifin; Iing Pamungkas; Arrazy Elba Ridha; Risnadi Irawan; Nova Nova
Jurnal Industri dan Inovasi (INVASI) Vol 2, No 1 (2025): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64670/invasi.v2i2.11774

Abstract

This study analyzes the impact of age, wages, work environment, working hours, and work experience on workforce productivity in the Steel Tower Production Division of PT X using multiple linear regression (SPSS 16). The analysis includes validity, reliability, multicollinearity, heteroscedasticity, and hypothesis testing. Results show no multicollinearity or heteroscedasticity issues. The R² value (0.545) indicates that 54.5% of productivity variance is explained by the independent variables, while 45.5% is influenced by other factors. However, F-test and T-test results indicate that none of the variables significantly affect productivity.This suggests that other factors, such as motivation or job satisfaction, may play a larger role. Future research should explore these aspects to gain deeper insights.
Sistem Dinamis sebagai Alat Analisis dan Pengambilan Keputusan di Indonesia: Literature Review Iing Pamungkas; Abdiel Khaleil Akmal; Heri Tri Irawan; Rizki Agam Syahputra; Arrazy Elba Ridha; Hazdfi Zhaqiri; Sitti Fadjrin
Jurnal Industri dan Inovasi (INVASI) Vol 2, No 1 (2025): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64670/invasi.v2i2.11618

Abstract

This research aims to conduct a comprehensive literature review on the application of dynamic system simulation as a decision-making tool. This research is motivated by the complexity of modern problems that require appropriate analytical tools to support better decision-making. The method used in this research is a systematic literature review by following structured steps to ensure that this research is comprehensive and unbiased. The results of this study indicate that dynamic systems are powerful and relevant analytical tools across sectors. With its ability to model dynamic interactions and simulate future scenarios, dynamic systems can help stakeholders make better decisions and achieve more sustainable results in facing complex challenges in the modern era. This study also identifies several challenges in the application of dynamic system simulation, such as lack of awareness of its benefits, lack of expertise in building and analyzing simulation models, as well as limited in-depth research on its application in various contexts. Therefore, further research is needed to address these challenges and improve the application of dynamic system simulation in decision making.
Co-Authors Abdiel Khaleil Akmal Adib Adib Adib Adib, Adib Andriansyah Arifin, Riski Arrazy Elba Ridha Aulia Putri, Cut Widy Baehaqi Chairil Akbar Cleopatra, Ratu Cut Widy Aulia Putri Dewi Andriani Didi Asmadi Erwan, Friesca Fajar Okta Widarta Friesca Erwan Friesca Erwan Friesca Erwan Fuad Dwi Hanggara Habib Satria Hazdfi Zhaqiri Iing Pamungkas Iing Pamungkas Ilyas Ilyas Ilyas Ilyas Irawan, Heri Tri Irawan, Risnadi Iskandar Hasanuddin Kasmawati Kasmawati Lestari, Rachmatika Lestari, Suci Ayu Lufika, Raihan Dara Mahmud Basuki Maliza, Noer Octaviana Muhammad Reza Aulia Mustafa Kamal Nica Astrianda Noer Octaviana Maliza Noprita, Zikra Nova Nova Novianda, Dinda Octaviana Maliza, Noer Putri Sarina Agustavia Qadrinadia, Ivana Raihan Dara Lufika Ratu Cleopatra Riski Arifin Risnadi Irawan riza ulhaq Rosalina, Dian Safitriyawi, Roja Sentia, Prima Denny Shaumy Fadhilla Sitti Fadjrin Sofiyanurriyanti Sugeng Santoso Suhendra, Rivansyah Suhendrianto Suhendrianto Suhendrianto Suhendrianto, Suhendrianto Sulaeman, Sarah Suryadi Suryadi Suryadi Suryadi Syahputra , Dedek Syahriza Syahriza Syamsiar, Syamsiar Teuku Andhika Malik Rahman Ulfa Syahputri Ulfah, Tya Viktor Mawar Berutu Wyona Allysha Rustandi Putri Yulia Annisa Zaty Fadhilla Zuhri, Sarika Zuhri, Sarika