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Contact Name
Sugeng Santoso
Contact Email
sugeng.santoso@mercubuana.ac.id
Phone
+6282132044774
Journal Mail Official
ti.jurnal@umm.ac.id
Editorial Address
Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang
Location
Kota malang,
Jawa timur
INDONESIA
Jurnal Teknik Industri
ISSN : 19781431     EISSN : 25274112     DOI : -
Dr. Saiful Anwar Malang is a state hospital has done it is job and function, but in 3rd class of pavilion room, the number of patient decrease dramatically. It is concerned with quality of this hospital. To answer this problem, research was done using Quality Function Deployment (QFD). Quality Function Deployment is a tool which design some needs include customers represented as a voice of customer and including some competitions and also groups some activities that usually called affinity graphic ang getting a benchmarking for it is competition. From the result analysis can be showed that main attribute for patience is a accuracy. And from House Of Quality can be found that getting a periodic meeting to evaluate this hospital and also increase a service can be made 20 concept
Articles 5 Documents
Search results for , issue "Vol. 25 No. 1 (2024): February" : 5 Documents clear
A Model for Enhancing the Environmental Performance by Integrating Lean and Green Productivity Concept: A Case Study of Food Production Wulandari, Indah Apriliana Sari; Hanun, Nur Ravita; Cahyana, Atikha Sidhi
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.83-96

Abstract

The increase in food production activities has led to a significant decline in the environmental quality, particularly affecting the surrounding river systems. This research addresses the need to identify and minimize various types of waste by integrating Lean and Green productivity concepts. The main objective is to reduce non-value-added (NVA) activities that contribute to both environmental degradation and inefficiencies in production. The study applies the Lean framework to identify seven types of waste in food production while also addressing green waste, such as excessive material use and energy consumption. Green Integration Value Stream Mapping (GIVSM) is utilized to assess the current state of value-added (VA) activities and to simulate improvements for future production systems. The initial analysis reveals a low VA of 1.5 hours due to inefficient customer information flow and prolonged loading times. Improvements are implemented by shifting the information system from a push to a pull strategy, significantly reducing production time and lowering both Lean and Green waste. The results demonstrate that integrating these concepts can enhance environmental performance and operational efficiency. This study provides valuable insights for food production companies seeking to balance productivity and sustainability.
Capacitated Location Allocation Problem of Solar Power Generation in Indonesia using Particle Swarm Optimization Astungkatara, Arya Wijna; Fath, Hamzah; Putri, Oktaviana; Yana, Anak Agung Istri Anindita Nanda; Normasari, Nur Mayke Eka; Oktavia, Andiny Trie; Rifai, Achmad Pratama
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.55-72

Abstract

Indonesia has abundant potential for solar energy. The decrease in the cost of solar power generation components can bolster the development of solar power plants. Due to its geographical characteristics, it is essential to analyze the feasibility of using solar power plants as a primary renewable energy source in Indonesia, especially in Sumatra Island. One of the critical aspects of developing solar power plants is determining the suitable location of the power plant and allocating the electricity generated to the regions. Therefore, this study considers the Capacitated Location Allocation Problem (CLAP) to determine the optimal placement of solar power plants on Sumatra Island to minimize investment and transmission costs. To address the problem, we explore three metaheuristics, namely Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Large Neighborhood Search (LNS). The results obtained by these metaheuristic methods show significant differences in cost, with SA providing the best solution with the lowest cost. The investment and transmission cost can be minimized by solving the CLAP to obtain optimal solar power plant placement while enhancing the region's resilience in implementing distributed generation.
Selection for Technology Acquisition using AHP: A Case Study of Tulip VAWT Effectiveness Baskoro, Gembong; Sarwono, Edhie; Subekti, Galih Akup; Hendriana, Dena; Nasution , Henry
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.1-12

Abstract

The increasing energy demand in Indonesia, particularly from the industrial sector, has heightened the need to reduce reliance on fossil fuels by integrating new and renewable energy (NRE) sources into the energy mix. For the industrial sector, adopting NRE technologies presents options such as purchasing, manufacturing, or acquiring technology. This study focuses on selecting the most effective option for a small Vertical Axis Wind Turbine (VAWT), specifically the Tulip VAWT, by evaluating its hardware performance. The selection process utilizes subjective judgment and the Analytical Hierarchy Process (AHP), considering five key factors: installability, usability, affordability, availability, and maintainability. Results indicate that Technology Acquisition (TA) is the optimal choice, with an AHP score of 0.65, outperforming the purchasing options (0.322) and manufacturing options (0.296). These findings suggest that evaluating these five factors significantly impacts the decision-making process regarding adopting the Tulip VAWT. However, the study does not assess the effectiveness of the associated knowledge (software) or organizational factors, as no established methodology exists for this evaluation yet.
Energy-Efficient Permutation Flow Shop Scheduling Problem: A Systematic Literature Review Utama, Dana Marsetiya; Primayesti, Meri Dines; Umamy, Sabila Zahra; Kholifa, Bunga Milenia Nur
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.13-54

Abstract

Energy-efficient scheduling is an important problem in the industrial world because improper scheduling can increase energy consumption. One of the production scheduling problems is the Permutation Flow Shop Scheduling Problem (PFSP). This article tries to review research on energy-efficient PFSP to provide a comprehensive review of trends and research gaps in energy-efficient PFSP. A systematic literature review (SLR) was used to conduct this research survey, and 123 articles were collected from 2011-2023. This SLR classifies articles based on publication year, type, objective function, and optimization method used. The results of the literature review analysis show a significant increase every year for energy-efficient PFSP, and multi-objective problems are the dominant problems studied. Based on the analysis of solutions to solve energy efficient PFSP, metaheuristic procedures are the procedures that contribute the largest to solving energy efficient PFSP, and the objective function that is popularly used is to minimize total energy consumption. In addition to this, this study presents a gap research analysis and future research directions for energy-efficient PFSP.
Critical Indicators for Improving Compliance of Fuel Trading Business Entities in Indonesia Husniyadi, Ilham; Moeis, Armand Omar
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.73-82

Abstract

Fuel oil is one of Indonesia's most dominant types of energy, making it important to have strict oversight and regulation of its supply and distribution. This research aims to identify compliance indicators for fuel trading business entities in the downstream oil and gas sector and develop guidelines to monitor and improve the level of compliance of these entities. The method used in this research is the Analytical Hierarchy Process (AHP). The results showed ten relevant compliance indicators: waste management, resource use, occupational accident rate, safety training, audits and inspections, regulatory violations, social and community contributions, stakeholder satisfaction, operational efficiency, and tax and financial compliance. Of the ten indicators, the highest weight is obtained from regulatory violations at 42%, followed by the work accident rate at 22%. These findings provide a strong basis for monitoring and improving compliance in the oil and gas trading business and supporting better and sustainable energy management in Indonesia.

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