Jurnal Sistem dan Manajemen Industri
This journal aims to publish the results of research in the field of Industrial Engineering is published twice a year, managed by the University of Serang Raya. The scope of Sciences covers Operations Research, Manufacturing System, Industrial Management, Ergonomics and Work System, Logistics and Supply Chain Management, and other scientific studies in accordance with scope field of Industrial Engineering research.
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<![CDATA[The fuzzy goal programming approach to production planning of intermediate gear spare parts: a case study ]]>
<![CDATA[Aulia Ishak]]>;
<![CDATA[Poltak Nababan]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v4i2.2143
<![CDATA[Production planning has an important role in the company's business processes. A company engaged in the manufacture of intermediate gear parts has a problem in optimizing its production system. The production planning system that occurs is still based on predictions from decision-makers. This study aims to optimize the production planning system to maximize the 15T intermediate gear spare parts' production capacity and the 30T intermediate gear spare parts. Optimization of production planning uses the fuzzy goal programming method to optimize objectives based on existing constraints such as working hours, profit tolerance values, and demand tolerance values. The results showed that the use of fuzzy goal programming was able to increase the production level by 2.765, with an increase in profit of 2.57%. Fuzzy goal programming implementation provides an optimal solution in increasing profits in accordance with company goals based on the constraints that occur.]]>
<![CDATA[Analysis of the factors affecting the iron ore pellet FEO index using data mining technique ]]>
<![CDATA[Mahdi Nakhaeinejad]]>;
<![CDATA[Farzaneh Zarei]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v4i2.2572
<![CDATA[One of the most critical factors affecting iron pellet quality is the reduction in FeO (Iron Oxide) index in the final product. This study aims to predict factors affecting the FeO (Iron Oxide) of iron pellets and find out the contribution of each factor to reduce the pellets FeO (the ideal amount is between 0.4 to 0.6) using data mining techniques. When the FeO index's value is in the optimal range, the quality and price of pellets are higher. The data used in this study was collected from the pelletizing plant of Gol-E-Gohar in Sirjan, Iran, and the decision tree and regression algorithms are used in this analysis. Forty-five factors that can affect the FeO (Iron Oxide) index of the final product were studied, showing that the Magnesium Oxide and Airflow of the inlet fan of the indurating machine had the greatest impact on the FeO (Iron Oxide) of iron pellets.]]>
<![CDATA[Implementasi Algoritma Discrete Particle Swarm Optimization Pada Permasalahan CVRP ]]>
<![CDATA[Aisyahna Nurul Mauliddina]]>;
<![CDATA[Faris Ahmad Saifuddin]]>;
<![CDATA[Adesatya Lentera Nagari]]>;
<![CDATA[Anak Agung Ngurah Perwira Redi]]>;
<![CDATA[Adji Candra Kurniawan]]>;
<![CDATA[Nanda Ruswandi]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v4i2.2607
<![CDATA[Capacitated Vehicle Routing Problem (CVRP) is known as an NP-hard problem. It is because CVRP problems are very hard for finding optimal solutions, especially in large instances. In general, the NP-hard problem is difficult to solve in the exact method, so the metaheuristic approach is implemented in the CVRP problem to find a near-optimal solution in reasonable computational time. This research uses the DPSO algorithm for solving CVRP with ten instances of benchmark datasets. DPSO implementation uses tuning parameters with the One Factor at Time (OFAT) method to select the best DPSO parameters. The outcome objective function will be compared with several PSO models proposed in previous studies. Statistical test using One Way Reputed Measure ANOVA is needed to compare algorithm performance. First, ANOVA uses for comparing’s results. Then, ANOVA is also used to test DPSO’s performance compared with DPSO-SA, SR-1, and SR-2 algorithm. The computational result shows that the basic DPSO algorithm not competitive enough with other methods for solving CVRP.]]>
<![CDATA[Analisis Persediaan Bahan Baku Botol Insektisida Kemasan 1 Liter dengan Metode Material Requirement Planning (MRP) untuk Mengetahui Tingkat Kestabilan Bahan Baku ]]>
<![CDATA[Arinda Soraya Putri]]>;
<![CDATA[Bagus Imron Rosydi]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v4i2.2765
<![CDATA[PT. Agricon mostly produces 1L package (bottle) pesticides named Spontan insecticide. This study was conducted to analyze and determine the stock inventory of 1L bottles for determining an effective ordering schedule based on the calculation of safety stock and reorder points to optimize planning and inventory. Material Requirement Planning (MRP) method used to determine the effective scheduling of 1L bottle products. Material Requirement Planning is one method used to determine scheduling with advantages such as reducing inventory, reducing set up costs, and reducing idle time. The proposed order scheme for ordering 1L insecticide packaging bottle improve the company on reducing the frequency for ordering bottles from 7 times to 5 times and inventory is more stable and close to demand quantity]]>
<![CDATA[Implementation of connection scan algorithm in tourism intermodal transportation journey planner: a case study ]]>
<![CDATA[Vertic Eridani Budi Darmawan]]>;
<![CDATA[Yuh Wen Chen]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v4i2.2772
<![CDATA[Accessibility to tourist destinations is an important component in a tourism system, especially for natural tourist destinations located in suburban areas. Good linkage of travel information and physical connections with local transportation services for intercity travel can facilitate more people to travel and promote national tourism destinations. This research takes the popular national tourism destinations and their public transportation service in Taiwan as a research object due to the unavailability of integrated public transport information service. Free Independent Travelers (FIT) demand is growing. This research aims to integrate intermodal public transportation information to support FIT by proposing a seamless way journey planner. In this scenario, the journey planner requires timetable data as input. The Connection Scan Algorithm is used to find the earliest arrival time routes at their destinations. This journey planner is built in PHP language and can complement the official tourism travel information website by Tourism Bureau, MOTC. Hence, the FIT could get the quickest routes to reach the destinations without compiling the public transportation information provided independently.]]>
<![CDATA[Pengurangan Cacat Bagian Panel Atap dalam Proses Pengiriman Ekspor Menggunakan Metode DMAIC: Studi Kasus di Produsen Otomotif ]]>
<![CDATA[Indra Setiawan]]>;
<![CDATA[Setiawan Setiawan]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v4i2.2775
<![CDATA[Product quality has now become one of the main factors that every company must have to compete globally. One way is to reduce the number of defective products in the production process. This method is a continuous improvement effort made by PT Toyota Motor Manufacturing Indonesia and companies engaged in the automotive sector that produces cars. One of the processes is packing roof panels whose output will be sent to importing countries where the number of requests per month is relatively high but still has a high defect rate. Based on production data and defect data for the January-February 2019 period, roof panel packaging production has a 1% -3% defect rate. This company must reduce the defect rate to achieve the company target of zero defects. This study aims to improve the quality of the packaging process by minimizing the number of defective products. This study uses the Six Sigma method with DMAIC phases. This method has several phases, namely, Define, Measure, Analysis, Improvement, and Control. Corrective action to reduce product defects based on 5W + 1H is to formulate a repair plan at the upgrade phase, namely by making SOPs spraying anti-rust and supervising operators who produce roof panel packaging. The improvement results reduced the DPMO value from 33,500 units to 2,050 units and increased the sigma level from 3.33 to 4.37. The DMAIC phase effectively controls and improves product quality levels in the automotive industry.]]>
<![CDATA[Pressure gauge accuracy and tire maintenance awareness among vehicle owners in Birnin Kebbi, Nigeria ]]>
<![CDATA[Ademola James Adeyemi]]>;
<![CDATA[Olusegun Isa Lasisi]]>;
<![CDATA[Abubakar Arzika Zaki]]>;
<![CDATA[Sani Isa Besse]]>;
<![CDATA[Muhammad Bello Ambursa]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v4i2.2782
<![CDATA[Aside from human factors, tire blowouts and other tire imperfections are major contributors to the persistently high road accident rate. While tire imperfections are categorized as part of the mechanical factors affecting road accident, the tire maintenance personnel and the vehicle owners' human behavior plays a significant role in ensuring that accidents due to tire imperfections are minimized. Therefore, this study aims to determine the accuracy of the pressure gauges used by tire maintenance personnel, popularly called vulcanizers in Nigeria, and to determine the level of awareness of vehicle owners about the basic information that affects the safe use of tires on the road. The study consists of two stages. The first stage investigates the accuracy of the pressure gauges used by twenty vulcanizers in four different districts in Birnin Kebbi, the northwestern part of Nigeria. The second stage was an online survey regarding the tire maintenance behavior of 87 participants, who were formally educated from Diploma to Ph.D. level. The study's findings showed that about 25% of the vulcanizers do not use pressure gauges to measure air pressure during tire inflation, and less than 17% of the readings taken were accurate. Yet about 60% of the respondents believe that vulcanizers' pressure gauges are reliable and less than 30% of the respondents know that the expiring date of tires is four years in Nigeria. Therefore, there is an urgent need for proper awareness about tire usage and maintenance among the general population. It would also be appropriate to include such basic road safety information in the school curriculum at all levels.]]>
<![CDATA[The fuzzy goal programming approach to production planning of intermediate gear spare parts: a case study ]]>
<![CDATA[Ishak, Aulia]]>;
<![CDATA[Nababan, Poltak]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
Show Abstract
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DOI: 10.30656/jsmi.v4i2.2143
<![CDATA[Production planning has an important role in the company's business processes. A company engaged in the manufacture of intermediate gear parts has a problem in optimizing its production system. The production planning system that occurs is still based on predictions from decision-makers. This study aims to optimize the production planning system to maximize the 15T intermediate gear spare parts' production capacity and the 30T intermediate gear spare parts. Optimization of production planning uses the fuzzy goal programming method to optimize objectives based on existing constraints such as working hours, profit tolerance values, and demand tolerance values. The results showed that the use of fuzzy goal programming was able to increase the production level by 2.765, with an increase in profit of 2.57%. Fuzzy goal programming implementation provides an optimal solution in increasing profits in accordance with company goals based on the constraints that occur.]]>
