https://ejournal.um-sorong.ac.id/index.php/metode/issue/feedMetode : Jurnal Teknik Industri2024-03-24T16:35:08+09:00Asih Ahistasari, ST., MTasih@um-sorong.ac.idOpen Journal Systems<p style="text-align: justify;"><strong>Metode : Jurnal Teknik Industri</strong> is a peer-reviewed scientific journal published by LPPM Muhammadiyah University of Sorong, which is managed by the Industrial Engineering Journal Management Team. The journal is published twice a year, in March and October. Focus and Scope of this Journal are: Manufacturing Systems, Operations Research, Product Design and Development, Manufacturing Technology and System, Work-Study, Ergonomics, Supply Chain Management, Business Systems, Quality Assurance and Control, Information Systems and Management , Systems Modeling, Project Management, and other Industrial Engineering Education.</p> <p style="text-align: justify;">p-ISSN: <a href="http://u.lipi.go.id/1444627768" target="_blank" rel="noopener">2476-8936</a> | e-ISSN: <a href="http://u.lipi.go.id/1512969201" target="_blank" rel="noopener">2614-4301</a></p>https://ejournal.um-sorong.ac.id/index.php/metode/article/view/2700Nylon Broom Quality Control Analysis Using the Six Sigma Method2023-08-17T19:12:01+09:00Riski Frastiyortio9011@gmail.comAbdul Wahidwahid@yudharta.ac.id<h3 style="text-indent: 0in;"><em><span lang="EN-US" style="font-family: 'Times New Roman',serif;">In the era of globalization, business competition and producers to further spur productivity and creativity in running a business, products must be of high quality and be able to adapt to market changes. CV. Unit Clean Industry is a manufacturing company engaged in the distribution of household cleaning equipment. Company CV. The Clean Industry Unit in carrying out the production process of nylon brooms has many discrepancies in the products produced. So the researchers applied the six sigma method as a proposed improvement to the defective nylon broom product that occurred in the company. The purpose of this study is to identify defective products using the six sigma method, determine the most dominant causes of defects using Six Sigma. The Six Sigma method itself has 5 stages, namely Define, Measure, Analyze, Improve, Control. The results of the calculation of the six sigma method are obtained, namely an average sigma level of 3.00 with a possible damage of 70,430 for a million times of production (DPMO). Where the cause of the defective product is damage to the damaged lakop hole, broken lakop and broken lakop frame. This is of course the cause of enormous losses if left untreated. Then it is necessary to take actions such as periodic maintenance and repair of machines, supervising employees who work in the production section to improve the quality of the goods produced and record the production results of each type of machine and the types produced by employees during the production process.</span></em></h3>2024-03-24T00:00:00+09:00Copyright (c) 2024 Riski Frastiyo, Abdul Wahidhttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/2719Making A Prototype Of Waste Select Conveyor To Help Waste Select Workers2023-08-23T20:40:50+09:00SALMA SYI'BUL HUDA SARNOsalmasyibul@gmail.comAloysius Tommy Hendrawanatommyhendarawan@unipma.ac.idErny Untarierny.untari@unipma.ac.id<p><em>Everyday human activities will produce residues, both from the consumption process and the results of activities in the form of waste. Problems in waste handling lead to littering and waste without specifying the type of waste. waste sorting is done in a sitting position and waste transportation is done standing with the same worker. This problem is the current reason for designing a tool that functions in adjusting the work position of the waste separator so that it is not burdensome for workers in carrying out their work. Anthropometric dimensions are used to determine the size of the product to be designed, and anthropometry specifically studies body size including linear dimensions, strength, speed and other aspects of body movement. Thorough testing of the system will include observing the system as it starts from the beginning and moving towards the expected final state, with the aim of ensuring that the entire system operates according to the author's original plan and runs stably. The final results of this study will produce conclusions that can be drawn. as follows The role of this ergonomic conveyor uses an anthropometric approach to accommodate comfortable and safe use. This research produces an ergonomic conveyor tool to help waste sorting workers that can prevent injury or good body position when doing work. In addition, this conveyor tool can make work processes and efficiency in sorting organic and inorganic waste.</em></p>2024-03-24T00:00:00+09:00Copyright (c) 2024 SALMA SYI'BUL HUDA SARNO, Aloysius Tommy Hendrawan, Erny Untarihttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/2828Efforts to Reduce Defect Porosity at PT. EPI Uses the PDCA Method2023-10-17T05:09:01+09:00Saryanto Saryantomeri.prasetyawati@umj.ac.idMeri Prasetyawati Meri Prasetyawatimeri.prasetyawati@umj.ac.idRenty Anugerah MPmeri.prasetyawati@umj.ac.idLeola Dewiyanimeri.prasetyawati@umj.ac.idWiwik Sudarwatimeri.prasetyawati@umj.ac.id<ol> <li><em> Eratek Prima Indonesia is a company operating in the manufacturing industry, especially conveyor products. PT. Eratek Prima Indonesia produces the Conveyor Carousel type, which is a type of conveyor used to transport passenger luggage from the plane to the arrival hall at the airport. From the conveyor carrousel production data for August 2021 – January 2022, in the production department it was found that the most defects occurred in the welding process with the highest percentage of defects, namely porosity defects of 75%, which means it exceeds the allowance standard by less than 30%. Based on this data, it shows that a high percentage of defects can disrupt the production process and must be controlled. The method used to solve this problem is to use the PDCA method. PDCA is a useful tool for continuous improvement and FMEA is a tool frequently used in quality improvement methods. The results of this research are to reduce the volume of porosity defects. Improvement efforts made to reduce the volume of porosity defects are carrying out regular training to improve employee skills, cleaning the material to be welded, welders paying attention to the standard position of the welding wire, replacing welding handlebars that are worn out due to use. once every month. After the repairs were carried out, the results of the reduction in defect volume were now 29% in accordance with company standards.</em></li> </ol>2024-03-24T00:00:00+09:00Copyright (c) 2024 Saryanto Saryanto, Meri Prasetyawati Meri Prasetyawati, Renty Anugerah MP, Leola Dewiyani, Wiwik Sudarwatihttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/2902Implementation of the Successive Interval Method for a Sustainable Waste Management Strategy2023-11-13T12:48:13+09:00Yan Herdianzahyan.herdianzah@umi.ac.idRiska Iva Rianariska.ivariana@gmail.comTaufiq Immawantaufiq.immawan@uii.ac.idA Dwi Wahyuni Pdwi.wahyunip@umi.ac.idAsih Ahistasariasih@um-sorong.ac.id<p>The solid waste section of Manggala District, Makassar City, currently still finds many risks that commonly occur in the waste management supply chain from the waste source to the Temporary Disposal Site (TPS) then to the Final Disposal Site (TPA). This causes the volume of waste to increase every day due to the lack of waste sorting from the waste source so that the waste in the TPS is scattered due to the waste bins no longer being able to accommodate it and ultimately the TPA experiences over capacity without any effective handling to reduce the volume of waste. Therefore, it is necessary to deal with the risks that occur. This research aims to provide suggestions for sustainable mitigation strategies to reduce the impact of risks on waste management using the Delphi method to identify potential risks. Using the House of Risk (HOR) at the risk analysis and evaluation stage to determine mitigation strategies and measuring the sustainability index using the Successive Interval (MSI) Method to determine the sustainability status of the proposed mitigation strategy. Based on the research results, it is known that there are 18 risk events and 65 risk agents identified. Next, a mitigation strategy was carried out on the risk agent using 16 preventive actions, which then measured the level of sustainability of each strategy. The results of these measurements found 3 strategies whose status was very sustainable, 10 strategies whose status was quite sustainable and 3 strategies whose status was less sustainable.</p>2024-03-24T00:00:00+09:00Copyright (c) 2024 Yan Herdianzah, Riska Iva Riana, Taufiq Immawan, A Dwi Wahyuni P, Asih Ahistasarihttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/2769Optimizing Signage Material Decision Making at PT XYZ with AHP-TOPSIS2023-09-12T12:51:02+09:00Marlinahubungilina@gmail.comAsep Endih Nurhidayathubungilina@gmail.comFamelga Clea Putrifamelgacle@gmail.com<ol> <li><em> XYZ company in the field of signage design consulting services has product output in the form of the best design recommendations. Output recommendations in design include material selection. However, several times it was found that the recommended materials were not appropriate, such as signage being corrosive. This is because there are factors that are not taken into consideration when making decisions. Factors influencing material selection and a list of material alternatives were identified by conducting interviews with experts who were directly involved in decision making. This research uses the AHP method (Analytical Hierarchy Process method) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and is assisted by Super Decision software. This research uses the AHP method (Analytical Hierarchy Process method) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and is assisted by Super Decision software. The research results show that there are 6 main criteria used in selecting signage making materials, namely, price, quality, availability, durability, ease of processing and processing speed. Weighting using AHP produces an order of importance for each criterion from highest to lowest, namely availability (0.2269), processing speed (0.2216), durability (0.2182), ease of processing (0.1519), quality (0.0919) and price (0.0895). The results of data processing using TOPSIS show that acrylic has the greatest preference for use as a material for making signage with a weight of 0.6569. The research results can be used as a reference for decision making in selecting signage materials with a measurable process.</em></li> </ol>2024-03-24T00:00:00+09:00Copyright (c) 2024 Marlina, Asep Endih Nurhidayat, Famelga Clea Putrihttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/3000Analysis of Work Accidents in Refurbish Cranes Using the HAZOP Method Approach2023-12-11T18:33:10+09:00Marulan Andivasandivas@uniba-bpn.ac.idWahyu Ismail Kurniawahyuismail57@gmail.comPutri Nuvira Madaputrinuvira@gmail.comNovia Febryantri Wahononoviafebriyantriw@gmail.comAgus Hindarto Wibowo5bagushind@akprind.ac.id<p><em>Currently, Indonesia has a fairly high number of accidents. According to BPJS Employment for 2018 - 2022, work accident cases are starting to increase </em><em>There were (265,334) cases of work accidents recorded in Indonesia in 2022, an increase of around 13.26% from the previous year of (234,270) cases. K3 is a factor that functions to reduce the number of work accidents, as well as supporting the smooth production process, so it must be determined in each agency </em><em>PT. X is a company engaged in the fields of manufacturing, design, supply, installation, steel fabrication, service, refurbish, remanufacturing equipment and components or parts for mining, gas and oil and other general industries.</em> <em>Work accidents were found in the product support section, such as being pinched and crushed.</em> <em>In this research, we analyze the potential for work accidents using the HAZOP method in the crane refurbishment process which has a risk of work accidents. The attitude of workers at PT. X has 10 activities with potential and risk of danger where there are 3 levels of danger in the extreme category, 5 levels of danger in the high category, 2 levels of danger in the medium category, and 12 levels of danger in the low category.</em></p>2024-03-24T00:00:00+09:00Copyright (c) 2024 Marulan Andivas, Wahyu Ismail Kurnia, Putri Nuvira Mada, Novia Febryantri Wahono, Agus Hindarto Wibowo5https://ejournal.um-sorong.ac.id/index.php/metode/article/view/2924Analysis Of Tenon and Mortise Machine Process Analysis Of Garden Bench Products2023-11-20T13:22:33+09:00Gunawan Mohammadgunawan@unisnu.ac.idDwi Retna Sulistyawatigunawan@unisnu.ac.idAlfin Kausargunawan@unisnu.ac.id<h3 style="text-indent: 0in;"><span lang="EN-US" style="font-family: 'Times New Roman',serif;">This research focuses on the process of producing pins and holes from tenon and mortise machines. Every time the production process, namely 20 sets, experiences a failure of 20%, the characteristics of the failure are a large size between the size of the purus and the wrong hole which does not match the specifications expected by consumers. The company has a target length of the purus and depth of the hole of 30 mm as well as the width of the purus and the width of the hole. 60 mm with a tolerance limit of 2 mm. This research aims to control the process capabilities of tenon and mortise machines. The method used in this research is the IMR control chart to determine the machine process capability value (Cp) and the process capability index value (Cpk). The results of the research show that in the calculation of process capability in the dimensions of shaft length, shaft width, depth of hole and hole, all four do not meet specifications. After analyzing the process capability, the cause of the defect is then searched for using a fishbone diagram, namely creating improvement proposals using the Poka Yoke method. Results of the fishbone diagram: human factors are the dominant factor causing defects. To minimize defects due to human factors, it is necessary to design an ultrasonic distance sensor as a warning function for operators using the Poka Yoke method. The results of applying an ultrasonic distance sensor can increase the process capability value to be in accordance with specifications.</span></h3>2024-03-24T00:00:00+09:00Copyright (c) 2024 Gunawan Mohammad, Dwi Retna Sulistyawati, Alfin Kausarhttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/3090Warehouse Design to Minimize Movement Material handling with Hungarian Method2024-01-05T21:06:07+09:00Faridafarida.nurmalasihotang@gmail.com<p><em>Every yea</em><em>r </em><em>PT X experiences</em> <em>an increase in drug production, causing insufficient raw material warehouse capacity needs. From observation</em><em> result</em><em> and analysis, obstacle was found because there were problems in structuring storage of raw materials that were not appropriate. In actual conditions, raw material storage uses block stocking method, but manager plans change storage method to</em> <em>racking method. If after racking method is implemented and</em> <em>turns out capacity is still insufficient, company plans to create an additional warehouse. </em><em>Focus</em><em> of this research begins with determining dimensions of</em> <em> rack then arranging rack in the warehouse, then determining size of warehouse capacity with</em> <em>racking method. </em><em>R</em><em>acking method is also used to propose additional warehouse capacity and propose models for raw material allocation. From results of the analysis, proposed rack dimensions are 1.2 x 1.2 x 1.2m<sup>3</sup> with arrangement of rack in direction of y-axis so that a storage capacity of 166 pallets is obtained. In actual conditions, PT X uses a raw material storage policy with a random storage policy model and the results of this study propose use of shared storage policy by considering frequency of entry and exit raw materials from warehouse. Determination of location of raw materials using a modified Hungarian model with aim function of minimizing total distance required by material handling. This model has been tested using historical company data that matches the function of goal to be achieved and gives the result that minimum distance required for material handling is less than 100,000meters.</em></p>2024-03-24T00:00:00+09:00Copyright (c) 2024 Faridahttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/3123Dynamic System Model for Water Availability at PDAM Cilegon Mandiri2024-01-15T10:11:16+09:00Muhammad Rifki Saputrorifkiisaputraa@gmail.comFirmansyah Muhammad Noorfirmansyahxfmn@gmail.comRifan Nur Maulanarifan.rnm@gmail.comSahrupisahrupi@unsera.ac.id<p><em>Cilegon Mandiri Regional Water Company is a regional government-owned enterprise responsible for providing water supply services to the community, managing water resources, producing clean water, and distributing it to the public. In ensuring the availability of clean water services, PDAM Cilegon Mandiri faces challenges in sustainable water resource management. The objective of this research is to develop a dynamic system model related to the availability of clean water in the Cilegon Mandiri Regional Water Company. The method used in this research is a qualitative-based dynamic system, which is a method used to form the structure, predict behavior, and provide feedback in a system. In modeling a system, dynamic systems require tools to illustrate the interdependencies among system elements, manifested in the form of a Causal Loop Diagram (CLD). The research results identify 14 variables that significantly influence the availability of clean water in PDAM Cilegon Mandiri. There is one reinforcing feedback loop as positive feedback that creates a growth pattern, and two balancing loops as positive feedback related to the improvement of water availability in PDAM Cilegon Mandiri. Although the Causal Loop Diagram approach has helped identify aspects in the clean water availability system, it is recommended to continue with a real simulation model to address real issues in the dynamic system of water availability in PDAM Cilegon Mandiri.</em></p>2024-03-24T00:00:00+09:00Copyright (c) 2024 Muhammad Rifki Saputro, Firmansyah Muhammad Noor, Rifan Nur Maulana, Sahrupihttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/3105Feasibility Study for Fulfillment Center from Logistics Service Provider’s Perspective 2024-01-11T00:15:36+09:00Putri Dwi Annisaputri.dwiannisa@uii.ac.idWahyu Kurniawanputri.dwiannisa@uii.ac.id<p><em>The E-commerce market is expected to continue growing until 2025 with an average of 9.6%. All the same, there are several aspects that are pain points in the E-commerce business. Over 90% of customer complaints and negative feedback are related to transit times and late deliveries. 69% of customers are not likely to shop at an E-commerce platform in the future if the purchase is not shipped within two days of the promised date. According to the voice of the customer, it is necessary to have a logistics model to increase the delivery speed at competitive prices. In the E-commerce logistics operation model, the delivery process and fulfillment center activities could be outsourced to logistics service providers. Therefore, this challenge becomes an opportunity for logistics service provider companies. Therefore, a feasibility study analysis of a fulfillment center business is carried out by considering the market aspect, technical aspect, organizational aspect, and financial aspects using case study in Yogyakarta. Based on the four aspects' feasibility analysis, the business fulfillment center is feasible as described from the financial parameters, Net Present Value Rp. 188,020,130, Annual Worth Rp. 24,574,231, Internal Rate of Return 34%, and Benefit Cost Ratio 1.23.</em></p>2024-03-24T00:00:00+09:00Copyright (c) 2024 Putri Dwi Annisa, Wahyu Kurniawanhttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/3134Planning for Livestock Waste Management in Cimuncang, Serang City2024-01-19T16:26:59+09:00Alifhia Desta Syaharanialifhiadstsyr@gmail.comLingga Perdanandalingga.per019@gmail.comSalsabila Safitrislsacaca.aa@gmail.comSahrupisahrupi@unsera.ac.id<p><em>Livestock farming has become a crucial part in meeting the needs of food, industry, and local communities. However, the negative impacts of livestock farming practices, such as improper waste disposal, have led to serious environmental pollution issues. The management of animal waste is key to maintaining environmental cleanliness and livestock health. This research aims to understand strategies for effective and environmentally friendly waste management on farms in the city of Serang. Qualitative methods were employed, including direct interviews with local communities and livestock owners, as well as observations of animal waste storage. Managing animal waste is a crucial task that all farmers must undertake to prevent environmental pollution due to unpleasant odors and the significant negative impact of large quantities of animal waste on crops. It is important to process animal waste before handling or using it as feed. Therefore, this research emphasizes the use of Causal Loop Diagrams (CLD) as a tool to understand and explain waste management in cattle and sheep, based on the research findings presented by the CLD. The modeling results indicate that observations of livestock waste management reveal the presence of 8 internal and external factors influencing this process. These factors are interpreted as variables without fixed values but demonstrating specific behavioral patterns. Identifying these variables can serve as a basis for developing more effective strategies in livestock waste management by understanding and managing the behavioral patterns associated with each variable.</em></p>2024-03-24T00:00:00+09:00Copyright (c) 2024 Alifhia Desta Syaharani, Lingga Perdananda, Salsabila Safitri, Sahrupihttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/2991Application of the AHP Method to Determine Production Quality Crude Palm Oil2023-12-09T16:06:16+09:00Siswanto18916126unismuh@gmail.com<ol> <li><em> Kurnia Luwuk Sejati is a company that operates in the palm oil industry and produces Crude Palm Oil (CPO). In CPO production, the company only determines two indicators used to determine the quality of CPO, namely Free Fatty Acid (FFA), water content (moisture). The National Standardization Agency (BSN) has established CPO standards contained in the Indonesian National Standard (SNI) 01-2901-2006, namely water content (max moisture 0.5%) impurity content (max 0.5%) and Free Fatty Acid (FFA 5 %). This allows companies to add one more indicator to determine the quality of CPO, namely impurity content/impurity content, this is an important factor because producers can know the level of clarity and quality of CPO production and is also a way to increase producers' confidence in buying the company's products. The AHP method is used to select conflicting criteria, which then creates alternatives/solutions that have the highest priority and makes it easier for companies to decide on quality control. The results of this research show that of the three quality control criteria, FFA or free fatty acid content is the company's top priority for improving quality because it has the largest comparative weight of 0.681563, then impurity content with a weight value of 0.236447 and Moisture with a weight value of 0, 08199.</em></li> </ol>2024-03-24T00:00:00+09:00Copyright (c) 2024 Siswantohttps://ejournal.um-sorong.ac.id/index.php/metode/article/view/3125A Multidimensional Framework for Night Shift Train Operator Readiness2024-01-16T13:51:24+09:00Fina Zaimah Maznahfina.zaimah@esaunggul.ac.id<p><em>Machinists who work the night shift experience a higher probability of sleepiness. The intricate relationship between sleepiness, fatigue, and stress has been acknowledged, especially considering that a significant 75% of accidents stem from drivers who are fatigued. The purpose of this study is to identify the factors that influence fitness for duty. The methods used are factor analysis and cluster analysis. The results of factor analysis show that from the 7 initial variables studied can be reduced to 4 factors in which represent the 7 initial variables. These factors consist of fatigue factor, age factor, physical factor and stress level factor. The unexpected discovery emerges that sleepiness, a presumed influencing factor, does not align with the anticipated impact on fitness for duty, as per existing theoretical frameworks. This study contributes to a nuanced understanding of the multifaceted interplay between variables affecting fitness for duty among night shift machinists. The unanticipated findings prompt further exploration, thereby fostering a more comprehensive comprehension of the intricate dynamics at play in occupational settings.</em></p>2024-03-24T00:00:00+09:00Copyright (c) 2024 Fina Zaimah Maznah