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All Journal ASEAN Journal of Systems Engineering Jurnal Teknosains Journal of Engineering and Management in Industrial System Indonesian Journal of Life Cycle Assessment and Sustainability Jurnal Logistik Indonesia JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Journal of Applied Engineering and Technological Science (JAETS) TIERS Information Technology Journal JOCHAC
Bertha Maya Sopha
Universitas Gadjah Mada
Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Other

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A FRAMEWORK FOR OBSERVATIONAL DATA-BASED RESPONSE SURFACE METHODOLOGY Hadiyat, Mochammad Arbi; Sopha, Bertha Maya; Wibowo, Budhi Sholeh
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 2 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Response Surface Methodology (RSM) is an integrated tool for optimization purposes based on an experiment; it consists of three stages of analysis, i.e., the design of experiment (DoE), causality modeling, and response optimization. The designed experiment ensures the researcher fully controls all factors that potentially influence the response and simultaneously fulfills the orthogonal assumption among factors. On the other side, conducting DoE for a continuous production process raises difficulties since it should be interrupted during experiment runs. Meanwhile, the rapid development of production data acquisition systems provides stored records or observational data with potentially useful information for supporting process optimization. This paper proposes an alternative framework for adopting observational data for RSM analysis. Referring to three stages of classic RSM and adopting the instance selection concept in the data mining context, the proposed framework aimed to achieve an observational data condition similar to an orthogonal D-optimal DoE based on criteria of Variance Inflation Factor (VIF) and determinant of matrix containing factor levels. It starts by applying a genetic algorithm for iteratively selecting an orthogonal subset of observational data and generating new actual experiment points to satisfy an orthogonality criterion. Then, a linear RSM model is fitted and continued by adding new experiment points. Then a standard numerical optimization method is applied to search among factor levels that optimize the response. A simulated data-based case study was taken in this paper, aiming to maximize a response of a production process with some pre-determined factors. The proposed framework has been implemented successfully, orthogonality of the data subset is achieved, and an optimal solution is found. Both criteria show the acceptable result and raise some improvement opportunities
Enhancing Post-Disaster Mapping Assessment: Agent-Based Simulation Modeling Integrating Ground Vehicles and Drones (Case Study: Mount Merapi's Volcanic Eruption) Liperda, Rahmad Inca; Rinaldy, Ravi Prananda; Redi, Anak Agung Ngurah Perwira; Asih, Anna Maria Sri; Sopha, Bertha Maya
Jurnal Logistik Indonesia Vol. 7 No. 2: Oktober 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v7i2.3463

Abstract

This research presents an agent-based simulation model for post-disaster location mapping, considering land vehicles and drones along with access road availability and depot locations. The study examines the impact of bridge facility damage on depot selection and time indicators. Results reveal that damage to bridge facilities affects depots differently based on their location, leading to increased total processing and completion times due to interactions between land vehicles and bridges. Depot 7 emerges as the optimal location for undamaged and KRB II and III damage scenarios based on total processing time. Depot 3 performs best for KRB III damage, while Depot 8 exhibits the shortest completion time across all scenarios. These findings emphasize the importance of selecting depots with resilient road access and alternative routes, improving post-disaster logistics efficiency.
Analisis Potensi Pengelolaan Sampah Anorganik Di Kota Yogyakarta dengan Memanfaatkan Bank Sampah hyldan Natawiguna; Bertha Maya Sopha; Sunyoto Usman
Journal of Cyber Health and Computer Vol 2 No 2 (2024): Journal of Cyber Health and Computer (JOCHAC)
Publisher : SIBER PRESS Universitas SIBERMU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64163/jochac.v2i2.28

Abstract

Waste is a by-product resulting from various activities carried out by living beings, especially by humans, which can be pollutes soil, water bodies, and air if not well managed. The government's efforts to increase the role of the community in waste management are reflected in the issuance of the Governor of the Special Region of Yogyakarta number 21 of 2014 concerning Guidelines for Waste Handling, Business Licensing of Waste Management, and Environmental Compensation which was then responded by the Mayor of Yogyakarta City through Mayor Regulation number 67 of 2018 concerning Policies and Strategy of Yogyakarta City in the Management of Household Waste and Household-Like Waste so that a waste bank managed by the community was born. However, the increase in the number of waste banks is not in line with the increase in the amount of managed waste each year. Therefore, an approach is needed to create a strategy in order to enhance waste banks performace in managing waste. Utilization of geographic information systems is used to locate waste potential and find strategic points for waste management based on the amount of generation, customer activity, and waste collection trends. Next, a waste management business is modeled using BMC whose feasibility is analyzed using the CAPEX and OPEX methods. Based on the research results, recycled paper production is the most potential business to be run by the community. A recycled paper business with a capacity of 30 kg per day has the potential to increase the recycling rate of paper waste in Yogyakarta City by 0.03 percent (7.2 tons) annually
Redesigning Passenger Distribution System of KRL Commuter Line: An Integrative Approach Ho, Hwi-Chie; Venessa, Venessa; Sopha, Bertha Maya
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.6954

Abstract

Commuter line electric rail (KRL) has become a critical mode of public transportation supporting urban mobility in densely populated areas. However, the rapid growth of urban populations and the corresponding increase in daily commuters have created significant challenges in delivering optimal and comfortable services due to overcrowding. This study addresses these challenges by enhancing passenger comfort on KRL commuter lines through the redesign of the passenger distribution system considering personal space along with passenger flow management. An integrative approach combining ergonomic approach in determining carriage capacity, passenger flow management, and simulation-based analysis was employed. Empirical data were collected through observation, empirical survey, and direct anthropometric measurement. Observations on passenger density were conducted on the Cikarang line during peak morning hours, focusing on mixed-gender carriages. Anthropometric measurements involving 238 subjects alongside carriage dimensions were analyzed to determine the capacity of carriage using ergonomic principles of personal space  The results revealed that  the carriage capacity of 150 passengers balancing comfort and efficiency. An innovative passenger distribution system deploying queuing system equipped with integrated sensors providing real-time number of passengers and innovative automatic door-closing mechanism at the carriages were proposed and tested under current passenger density and determined carriage capacity using discrete-event simulation implemented in Arena software. This study provides novel contribution both practically and theoretically demonstrating the application of ergonomics and sensor integration in public transportation system design for improving commuter comfort and safety in highly congested urban transport systems. Future researches are also discussed.
Co-Authors Abd. Rasyid Syamsuri Ahmad Agus Setiawan Ahmad Agus Setiawan Alditya Perkasa Sri Haryoto Anak Agung Ngurah Perwira Redi Anasrul, Rahmad Fajri Anna Maria Sri Asih Budhi Sholeh Wibowo Deendarlianto Dewi Masri Ho, Hwi-Chie hyldan Natawiguna Karima, Halim Qista Liperda, Rahmad Inca Mochammad Arbi Hadiyat Mohammad Kholid Ridwan Ramadhan, Aska Rinaldy, Ravi Prananda Setiowati Setiowati Sholeh Ma’mun Sumartono - Sunyoto Usman Venessa, Venessa Wagiman Wagiman Wahyu Edifikar