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All Journal SPEKTRUM INDUSTRI Journal The Winners Journal of Engineering and Management in Industrial System Jurnal IPTEK Binus Business Review PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Jurnal Pengabdian Pada Masyarakat EKONOMIS : Journal of Economics and Business Tibuana : Journal of Applied Industrial Engineering Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Cultural and Community Development Indonesian Journal of Law and Economics Review Industrika : Jurnal Ilmiah Teknik Industri Indonesian Journal of Innovation Studies PELS (Procedia of Engineering and Life Science) Proceedings of The ICECRS Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Journal for Technology and Science IJOT
Wiwik Sulistiyowati
Universitas Muhammadiyah Sidoarjo
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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Journal : PELS (Procedia of Engineering and Life Science)

 1 
Selection of Fish Raw Material Suppliers by Integrating ANP and Topsis Methods in CV. Riki Utama Mandiri Aula Fajar Iman Sakti; Wiwik Sulistiyowati
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.207 KB) | DOI: 10.21070/pels.v1i2.923

Abstract

CV. Riki Utama Mandiri is a company in distributing an economic fish frozen product. This company distributed any kind of retail and wholesaler, both domestic and export. They distributing many frozen fish products variant such as Patin Fillet and Shark Fin. The all raw materials of those frozen seafood was obtained by three different suppliers. The common problems found in CV. Riki Utama Mandiri mostly about raw patin fish supplier which often committed delivery delays. The purpose of this research is to fixing the supply chain management in deciding the more accurate selections of raw materials supplier. To overcome the common problems that happen. Analytical network process (ANP) will simplify the criteria weight values and sub criteria of each supplier. Meanwhile, technique for others reference by similarity to ideal solution (TOPSIS) method is used for giving a rank order of the alternative supplier. This research is expected for being a consideration for the company in obtaining a good and more effective kind of raw supplier. We also expecting the company for tighten supplier selection more effective way so that it can fullfilled the existing standard. Also to overcome the common problems such as delivery delays, competing raw materials with uncertain quality, and difficulty in sort out the raw materials due to size issues.
Optimization Of Cutting Chicken Routes Ovi Miru Sunandi; Wiwik Sulistiyowati
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.882 KB) | DOI: 10.21070/pels.v1i2.924

Abstract

This study has the title Optimization of Chicken Cut Retrieval Route. The existence of this study aims to reduce the distance of chicken retrieval routes from cages to slaughter mills, as well as reduce the number of deaths and chicken kesetresan when descending from the chicken carrier fleet. The method in the study used saving matrix method and vehicle routing problem. The method of data collection used is to take primary data that is taken data from the location of cut parik and chicken coop taken by the fleet so far and secondary data taken dati preentase route from the slaughter plant to the chicken coop. And obtained the maximum chicken cut and decreased the death rate and chicken kesetresan with the length of saving matrix route 219.58 Km, using 5 trucks, spent fuel Rp. 141.263, and driver's salary of Rp. 26.250.000. While using vehicle routing problem route length 209.38 Km, using 5 trucks, spent fuel Rp. 134.775, and driver's salary of Rp. 26.250.000.
Quality Control Design to Reduce Shoes Production Defects Using Root Cause Analysis and Lean Six Sigma Methods A Faisal Burhanuddin; Wiwik Sulistiyowati
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1242

Abstract

PT. Kharisma S.F is a company that produces sporty shoes with the Eagle, Nevada, and Fladeo brands. PT. Kharisma experienced a defect in the production process, which occurred in the sewing process and assembly process. However, the most common disability experienced by PT. S.F's charisma is a defect in the sewing process. This research focuses on the inspection of the production of Eagle brand shoes. With these problems, it is necessary to carry out quality control, which is useful for regulating the various products produced so that they can have good quality. To determine the level of a defect in the DPMO value and sigma value, to find out the various factors that cause the high level of product defects, and to provide suggestions for improvement and quality control to reduce the number of product defects, Root Cause Analysis (RCA) and Lean Six Sigma methods were used. Data were obtained from the company for three months and from 6 respondents to identify waste. From the results of research conducted. It can be seen that the factor that most influences the length of waiting time in production is the human factor. The highest identification of waste is defects. There are two types of defects, namely sewing defects and assembly defects. As for alternative improvements to reduce the number of defects, namely checking machine parts on the production floor with a checklist every day and replacing machine parts that are damaged or have expired, and providing regular training to operators scheduled once every three months.
Product Quality Control Using QCC, FMECA and RCA Methods at PT Tirta Sukses Perkasa Wardatul Maulia; Wiwik Sulistiyowati
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1302

Abstract

Quality control is one of the keys to the success of a company. PT Tirta Sukses Perkasa is a manufacturer of Bottled Drinking Water (AMDK) that strives to improve the quality of its goods in order to satisfy customers. The goal is to be able to identify the elements that can affect product failure or defects in order to produce results that meet consumer expectations. This study can find the main problem that results in excessive product defects by using the Quality Control Circle (QCC) approach. The next stage of analysis uses the Failure Mode Effect and Criticality Analysis (FMECA) approach to examine the problem thoroughly by setting the highest Risk Priority Number (RPN) to then be analyzed using Root Cause Analysis (RCA) to find the root cause of the problem that can lead to defective products. The results of the QCC analysis of five types of product defects in the 600 ml bottle were found to be the dominant factor in the bottom silver defect with a total of 378 defective products. The results of the FMECA analysis have the highest RPN value on bottom silver with a value of 432> 324, which means it is very critical and the risks incurred are unacceptable. The results of the RCA analysis on product defects that have the highest RPN value include several factors, including human factors, machines, and raw materials. Recommendations for improvement are in the form of SOPs for setting machines and sorting raw materials before the production process and always monitoring production operators.
Analysis of Quality Control of Shrimp Crop Products with Seven Tools and FMEA Methods (Case Study : UD. Djaya Bersama) Novan Andi Ansyah; Wiwik Sulistiyowati
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1303

Abstract

In this modern era, customers are more concerned with the quality of goods offered by manufacturers. Therefore, the company maintains the quality and feasibility of the products produced to ensure customer satisfaction. Analysis of the quality of the production process at UD. DJAYA BERSAMA is rarely done. This resulted in many defective products that escaped and were then returned to the company. This research was conducted at UD. DJAYA BERSAMA in order to control the quality of shrimp cracker products using the seven tools and FMEA methods. This method is often chosen because it has been used by previous researchers and has proven to be effective as a tool for data processing and factor analysis of the production process in order to improve product quality and make a decision. This study uses a qualitative descriptive analysis method collected by seven tools. This data collection is done in several ways. Primary data was obtained through observation, interviews with employees and production staff, while secondary data was obtained from related literature. From the results of research that has been carried out using the seven tools and FMEA methods, the level of product defects is still stable because there is no control chart that exceeds UCL and LCL. And the highest RPN value is on molen mace with an RPN value of 120.
Productivity Analysis Using Pospac Method And Performance Prism At Pt Petrokopindo Cipta Selaras Anjasmoro Bagas Prastyo; Wiwik Sulistiyowati
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1316

Abstract

PT. PCS is an industry that supplies organic fertilizer products. In production activities at PT. PCS onlycalculates productivity from the efficiency of raw material costs, fuel cost efficiency, and profit from sales. And theperformance measurement system at PT. PCS has not displayed optimal industrial performance, from companyleaders, employees or workers, to suppliers or suppliers. With these problems, it is necessary to measure and improveto minimize the decline in productivity, and also to improve the performance of the company's stakeholders at PT.PCS. To find out which month the dominant increase and decrease from the results of the level and productivity indexcan use the POSPAC method and use the performance prism method to analyze the company's performance for eachstakeholder. With this, it can determine the weight of the smallest value of the measurement specification based onthe POSPAC indicator of the achievement of KPIs. From the results of the study, it can be seen that the increase inthe results of the level and productivity index in 2019-2020 was dominant in August, while for the decline in the resultsof the level and productivity index in 2019-2020, it was dominant in October and November. Meanwhile, from theresults obtained in the elaboration of measurement specifications based on POSPAC indicators from KPIachievements, including the percentage of workers who are satisfied and comfortable with the work environment, thepercentage of estimated time to find the cause of the problem, the percentage of product shortages and excess stock,the level of employee ability, the percentage of complaints bill payments. With these problems from the PT.Petrokopindo Cipta Selaras can implement a productivity measurement system using the POSPAC method, andevaluate each performance indicator with a performance prism on a regular basis.
Quality Control Analysis To Reduce Product Defects With The Lean Six Sigma Method And Fault Tree Analysis Muchammad Yusuf Muchsinin; Wiwik Sulistiyowati
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1323

Abstract

This research was conducted at UD. SI in order to control the quality of plastic rack products by applying the lean six sigma method and fault tree analysis. This method is often applied when a problem occurs because it is effective as a data processing method and analyzes a major failure and finds the cause of a defect in the production process in controlling product quality and improving quality in the company. This research uses Lean Six Sigma and Fault Tree Analysis methods. This data retrieval is done by using primary data and secondary data. Primary data was obtained through observation, interviews with employees and staff in the production department, while secondary data was obtained from the company when conducting research. From the results of the study that for perforated shelves, the error rate achieved can be seen in the pareto diagram where there are three types, namely perforated shelves, crinkled shelves and thin shelves where the causative factors of the product can be seen in the fault tree analysis method, namely humans and machines as well as recommendation for improvement by monitoring and checking as well as operators at the time of production as well as conducting strict product quality checks which are expected to minimize repeated repetitions.
A Raw Material Truck’s Queue System Optimization: Optimasi Sistem Antrian Bongkar Muat Truk Bahan Baku Prayitno, Sugeng; Sulistiyowati, Wiwik
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1570

Abstract

This study investigates strategies to enhance efficiency in the unloading process of raw materials, crucial for maintaining productivity in paper production. Through field observations, a queuing system analysis employing a multi-channel single phase type was conducted. Results indicate that adding one unloading team can significantly reduce truck queuing time from 33 to 17 minutes. This finding underscores the potential for operational optimization through strategic resource allocation, emphasizing the importance of service quality alongside pricing in supplier engagement strategies for industrial enterprises Highlights : The study explores strategies to enhance efficiency in the unloading process of raw materials. Results indicate a significant reduction in truck queuing time through the addition of one unloading team. Emphasis is placed on the importance of service quality and pricing in supplier engagement strategies for industrial enterprises. Keywords: Efficiency, Queuing System, Raw Materials, Optimization, Supplier Engagement
Regression Analysis of Imported and Used Raw Materials in Manufacturing: Analisis Regresi Bahan Baku Impor dan Bekas dalam Industri Manufaktur Musyahadah, Bahrul; Sulistiyowati, Wiwik
Procedia of Engineering and Life Science Vol. 8 No. 1 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i1.1841

Abstract

Pertumbuhan ekonomi Indonesia yang semakin berkembang seiring dengan globalisasi telah meningkatkan persaingan di berbagai sektor industri. PT. Adiprima Suraprinta, sebagai salah satu produsen kertas koran dan kertas tulis-cetak terbesar di Indonesia, menghadapi tantangan dalam manajemen bahan baku untuk menjaga efisiensi produksi. Tujuan penelitian ini untuk mengetahui pengaruh bahan baku import terhadap pemakaian baku dengan regresi linear. Metode yang digunakan adalah metode analisi regresi linear. Analisis regresi digunakan untuk mengidentifikasi hubungan antara total bahan baku dan pemakaian bahan baku. Hasil penelitian menunjukkan bahwa tidak ada pengaruh signifikan antara kedatangan bahan baku import terhadap pemakaian bahan baku, yang ditunjukkan oleh nilai Fhitung lebih kecil dari Ftabel dan nilai signifikansi lebih besar dari 0,05 yaitu 0,535. Analisis distribusi data menunjukkan bahwa model regresi memenuhi uji normalitas, meskipun ditemukan beberapa outlier. Kesimpulannya, sistem manajemen bahan baku di PT. Adiprima Suraprinta perlu ditingkatkan untuk mencapai stabilitas produksi yang lebih baik.
Co-Authors A Faisal Burhanuddin Afandi, Nanang Krisna Anggitha Listyo Utomo Anjasmoro Bagas Prastyo ardiansyah, faris ardiansyah Arief Senja Fitrani Arief Senja Fitrani, Arief Senja Aula Fajar Iman Sakti Bayu Arif Wicaksono Bayu Bisma Nanda Billy Yhovizmiaji Boy Isma Putra C, Udisubakti Cahyana , Atikha Sidhi Dedy Dedy dedy dedy, dedy Fajrin, Moch. Teguh Fulvian Rokhman Hakim Hadiah Fitriyah Hana Catur Wahyuni Handaru A. Putra Hanifa, Muhammad Hardianto, Achmad Davit Hastian, Jovanka Roy Ida Agustini Saidi Ika Ratna Indra Astutik Ika Sasmita Sari Ima Faizah Isnaini Rodiyah Izza Anshori K, Putu Dana Moch. Teguh Fajrin Mohamad Rizal Fadli Muchammad Yusuf Muchsinin Mudji Astuti Muhamad Adi Sungkono Musyahadah, Bahrul Nihlatul Qudus SN Novan Andi Ansyah Nur Aniqotus Zanubah Ovi Miru Sunandi Pamungkas, Rion Prihans Prasetyo, Mochammad Eko Pratama, Muchammad Ikbal Putu Dana K Putu Dana K Ribangun Bamban Jakaria Rita Ambarwati Rita Ambarwati Sukmono Rizky, Naufal Rusandi, Kurniawan Eka Setiawan, Ardhi Wahyu Setyo Pradana, Eka Shinta Nuriyanti Slamet, Mukhammad Sulistyono Sulistyono Sungkono, Muhamad Adi Syamsiar, Syamsiar Tedjo Sukmono Udisubakti C Udisubakti C Verani Hartati Wahyu Setiawan, Ardhi Wardatul Maulia Wulandari, Indah Aprilia Sari Yhovizmiaji, Billy Yoshanda, Agung Andana Yus’Ady, Tiva Hendra