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Metris: Jurnal Sains dan Teknologi
Published by Universitas Katolik Indonesia Atma Jaya
ISSN : 14113287     EISSN : 28084810     DOI : https://doi.org/10.25170/metris
Core Subject : Science, Education, Engineering,
Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering
Jurnal Metris is published 2 (twice) a year. Since Volume 14 in 2013, Jurnal Metris has been published in June and December. The contents of the journal discuss research results in the field of industrial engineering. Jurnal Metris provides a place of publishing for sharing the new findings from research results of researchers, academics, scientists, and practitioners who related to the scope (but not limited) of: 1) Smart Production; 2) Lean Manufacturing; 3) Product Design & Development; 4) Human Factors Engineering; 5) Management Science and Operation Research; 6) Logistics and Supply Chain Management; 7) Decision Science in Business and Management; 8) Quality Engineering.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 199 Documents
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Analisis Kinerja, Seleksi dan Pengembangan Vendor Trucking di Perusahaan Logistik Wati, Merlin Dyah; Praharsi, Yugowati; Sari, Devina Puspita
Metris: Jurnal Sains dan Teknologi Vol. 21 No. 02 (2020): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v21i02.2492

Abstract

Freight forwarding is a logistics company which provide land delivery services rely heavily on trucking vendors. The available trucking vendors may not fulfill the company's expectations. Therefore the research was conducted to analyze the performance, selection process, management and development of 26 trucking vendors. The research began with the formation of a Critical Success Factor (CSF) and its development, namely a Key Performance Indicator (KPI) in accordance with company objectives. Then the CSF and KPI was weighted through the Analytic Hierarchy Process (AHP) method, determined the optimal performance value of each KPI, measured the performance of each vendor through the scoring method, analyzed the performance of the trucking vendor that was not optimal through Root Cause Analysis (RCA) by looking for the cause based on fishbone diagrams and FMEA tables, as well as providing suggestions regarding the management and development of trucking vendors. The results of the study were 11 CSFs and 28 KPIs that were formed. Based on the selection process conducted on 26 trucking vendors, there are 3 excellent vendors, 4 very good vendors, 11 good vendors, 3 matching vendors, and 5 unsatisfactory vendors. Furthermore, researcher conducted root cause analysis (RCA) of vendor representatives “matching” and “unsatisfactory” categories with fishbone diagrams and FMEA tables. Where the 5 highest RPN values from the FMEA table were given suggestions for improvement. Meanwhile, the excellent, very good, and good vendor categories are developed through strategic plans for the future.
Penerapan Metode IPA dan PGCV untuk Menganalisis Kualitas Layanan PT. Bank X berdasarkan Dimensi Servqual Howin, Rikko; Prasetya, Wibawa
Metris: Jurnal Sains dan Teknologi Vol. 21 No. 02 (2020): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v21i02.2493

Abstract

The bank is an institution that usually keeps people's money and redistributes it, as well as providing other services. The quality of service at the bank is important in order to compete well in the banking industry. This study aims to determine customer satisfaction, priority improvements needed to increase customer satisfaction. The data processing of this research begins with the validity and reliability test of the questionnaire, then continues with data processing using the SERVQUAL, IPA, and PGCV methods. In the SERVQUAL method there are a total of 22 attributes, for the tangible dimension it has 9 attributes, then the reliability dimension has 2 attributes, Furthermore, the responsiveness dimension has 4 attributes, the assurance dimension has 3 attributes, and finally the empathy dimension has 4 attributes. The result of Service Quality data processing, as a whole has a gap minus value. The results are then processed by the IPA method and the results show that six attributes are in the first quadrant (priority recovery), three attributes are in the second quadrant, one attribute is in the third quadrant, twelve attributes are in the fourth quadrant. The results of data processing using the IPA method, then continued with data processing using the PGCV method, and the results show that there are six attributes listed in the order of priority, with the highest PGCV score statement, namely the item "tellers and customers". Service has a sufficient number. Then followed by adding some divider walls, equity in bank services, in customer services speed, improvement at queue information, adding some chairs. So, to increase and maintain the bank service quality, the problems must be fixed immediately based on the priority rank results like adding some divider wall, increase the number of teller and customer service, adding some chair, improving equity in bank services, improving the customer service speed in serving customers
Analisis dan Implementasi Simulasi Monte Carlo untuk Prediksi Kebutuhan Gula berdasarkan Penjualan Bumbu Tabur XYZ Oktavia, Chendrasari Wahyu; Natalia, Christine; suprata, Ferdian; Hindratmo, Astria
Metris: Jurnal Sains dan Teknologi Vol. 21 No. 02 (2020): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v21i02.2494

Abstract

The sales activity is a very important activity for the development and sustainability of a company. The sales are closely related to the requirement of raw material. By knowing the number of sales, a company can do estimate the amount of raw material required for production. However, so far still be found as a company that has its policies to determine a requirement of raw material as impact not use a raw material control method. The research purpose to determine the amount of sugar raw material requirement based on results number of sales seasoning XYZ with Monte Carlo simulation. Based on the analysis of data processing results. It was found that the number of sales from the simulation results in 2019 was quite high compared to the sales results during 2018 where the difference in sales simulation in 2019 and real data in 2018 was 62,334 kg. In terms of sugar supply, the total requirement for sugar in 2019 is also quite high, namely 186,756 kg, or the difference in requirement between simulation results and real data is 21,818 kg. This shows that the amount of requirement is directly proportional to sales.
S-Metaheuristics Approach to Solve Traveling Salesman Problem Chandra, Agung; Naro, Aulia
Metris: Jurnal Sains dan Teknologi Vol. 21 No. 02 (2020): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v21i02.2496

Abstract

Metaheuristic algorithm is a state of the art optimization method which suitable for solving large and complex problem. Single solution technique – Smetaheuristic is one of metaheuristic algorithm that search near optimal solution and known as exploitation based. The research conducted to seek a better solution for deliverying goods to 29 destinations by comparing two well known optimization methods that can produce the shortest distance: Simulated Annealing (SA) and Tabu Search (TS). The result shows that TS – 107 KM has a shorter distance than SA – 119 KM. Exploration based method should be conducted for next research to produce information in which one is a better method
Analisis Kepuasan Pelayanan dan Faktor yang Mempengaruhi Keputusan Pelanggan untuk Memilih Smartphone Samsung di Jabodetabek Menggunakan Metode IPA dan Model Kano v, Marsellinus Bachtiar; ., Cassidy
Metris: Jurnal Sains dan Teknologi Vol. 21 No. 02 (2020): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v21i02.2498

Abstract

Smartphones are one of the must-have devices for modern society today. With the high demand for smartphones lately, many companies are competing to produce smartphones that suit consumer needs. Indonesia is one of the developing countries where the growth rate of smartphone use can still increase so that many smartphone manufacturers sell their products to Indonesia. From this phenomenon, researchers want to know the level of satisfaction of users of one of the leading smartphone brands in Indonesia and even in the world, namely Samsung. The purpose of this study is to determine what factors are considered good by customers and the company must maintain these services and what things are deemed not good and need to be improved again. This study uses the IPA method to determine the level of conformity between company services and customer expectations and the Kano model used to determine which services are included in the performance, basic, or delighter categories. From the results of these two methods can be integrated using the IPA-Kano integration table. Some things that still need to be improved from Samsung smartphones according to users who have filled out this questionnaire include good quality materials at a good selling price, attractive and modern product designs, product quality has a good price level, sufficient camera quality for purposes daily needs, and bonuses that make consumers satisfied.
Mitigasi Risiko Pada Rantai Pasok Bawang Merah (Allium ascalonicum L.) di Kabupaten Bantul, Daerah Istimewa Yogyakarta Annisa, Warastra Nur; Guritno, Adi Djoko; -, Wagiman
Metris: Jurnal Sains dan Teknologi Vol. 22 No. 01 (2021): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v22i01.2565

Abstract

Shallot (Allium ascalonicum L.) is a horticultural commodity that has high economic value. The problems that occur in shallot commodities are easily damaged and rotten, easily experiencing shrinkage of scales, and fluctuating prices. Therefore, this study is aimed to identifying the shallot supply chain model and its risks, and then determining the appropriate mitigation for priority risks. The research method was carried out by purposive sampling and snowball sampling through in-depth interviews with the risk owner. Risk analysis is carried out using the ISO 31000:2009 standard and the risk priority is to determine by the value of the Risk Priority Number (RPN). The results showed that the shallot supply chain contained 19 models consisting of 6 tiers. The identified risks include 32 risks with 10 risks at avoid risk level, 2 risks at the transfer risk level, 17 risks at the level of managing risk, and 3 risks at the appetite risk level. Mitigation is carried out, namely at the farmer tier adding fumigation and blower in the warehouse, installing insect traps, applying advanced and simultaneous planting patterns, watering the plants before sunrise, spraying with fungicides and insecticides. In the slashing tier, you could pay onion to the farmer with a down payment and look for price information. In the tier of collectors, they applied advance payments, making sales records, and payment systems for fixed debts. At the tier sales, namely making records of sales, the system of payment of accounts payable for regular customers, and seeking information to the area available onion.
Analisis Risiko Postur Kerja pada Pengoperasian Mesin Pengolah Sampah Plastik Creatics Purwandari, Aprilia Tri; Sumantri, Dicky; Parwati, Niken; Tanjung, Widya Nurcayahanty
Metris: Jurnal Sains dan Teknologi Vol. 22 No. 01 (2021): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v22i01.2571

Abstract

Ketidaknyamanan dalam postur kerja dapat mengakibatkan berbagai permasalahan dalam bekerja. Musculoskeletal Disorders (MSDs) atau gangguan pada otot, sendi dan sistem syaraf merupakan permasalahan yang paling banyak terjadi akibat bekerja. Hal tersebut dapat mendatangkan kerugian, baik bagi pekerja maupun perusahaan. Salah satu penyebab musculoskeletal disorders adalah postur kerja yang tidak ergonomis yang dapat membahayakan keselamatan dan kesehatan pekerja. Tujuan penelitian ini adalah menganalisis postur kerja dalam mengoperasikan mesin pengolah sampah terintegrasi Creatics. Metode yang digunakan adalah adalah penyeberan kuesioner Nordic Body Map (NBM) untuk mendeteksi keluhan sakit pada bagian tubuh pekerja dan metode observasi Ovako Working Postures Analysis System (OWAS) untuk mendukung hasil kusioner NBM untuk menentukan risiko bahaya dari postur kerja. Hasil yang diperoleh adalah responden mengalami keluhan sakit pada kaki, lutut, paha, lengan, pinggang, lengan atas kanan, lengan bawah kanan, bahu kanan dan pinggang. Hal ini didukung oleh hasil penilaian dengan OWAS yang menunjukkan postur kerja masuk dalam kategori dua, yaitu berbahaya dan perlu perbaikan pada rancangan mesin Creatics di masa yang akan datang.
Measurement of Technology Capability with Technometric Methods: Case Study at Batik Anugerah, Bangkalan, Madura Island Indriartiningtias, Retno
Metris: Jurnal Sains dan Teknologi Vol. 22 No. 01 (2021): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v22i01.2608

Abstract

Tanjung Bumi is a village located in Tanjung Bumi Subdistrict, Bangkalan District where most of the population has a small and medium industry producing Madura batik. The object of research was carried out at Batik Anugerah. The study was conducted to determine the level of technological sophistication carried out during the production process. The study was conducted on four components including technoware, humanware, software and infoware. Based on the four components, the TCC (Technology Contribution Coefficient) value will be included in the semi-modern category.
INTEGRASI MODEL HOUSE OF RISK DAN ANALYTICAL NETWORKING PROCESS (ANP) UNTUK MITIGASI RISIKO SUPPLY CHAIN Natalia, Christine; Oktavia, Chendrasari Wahyu; Makatita, Welhelmina Vince; Suprata, Ferdian
Metris: Jurnal Sains dan Teknologi Vol. 22 No. 01 (2021): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v22i01.2619

Abstract

Currently, the resilience of the company is not separated from the strength supply chain network. Without this network, so the business process will not run well. But the strong supply chain network became vulnerable to risk. It caused by complexity and a highly dependent supply chain network. These risks need to minimize. The method that can be used to minimize risk with integrating the house of risk method and Analytical Network Process. The purpose of these integration methods to identification and recognized interrelationships between risk agent’s mitigation strategies, so the effect of event risk can be reduced. And then, by looking strategies can reducing costs incurred by the company and efficiency of risk agent’s mitigation strategy. Based on the results of House of Risk stage 1, there are 25 causes of risk that need to mitigate. The risk mitigation strategies that obtained to minimize the causes of risk, are then processed by the Analytical Networking Process (ANP) method. Based on the results of the Analytical Networking Process (ANP) method, there are two risk mitigation strategies. House of Risk stage 2 has applied to measure the efficiency and the level of difficulty of these two risk mitigation strategies. The results showed that the best mitigation strategies are conducting training and measuring company’s performance.
Analisis Kapasitas Produksi Dengan Metode MTM-1 Dan Alat Bantu Promodel Dalam Pembuatan SOP Perbaikan (Studi Kasus: PT. Karya Utama Pratiwi) SUGIOKO, ANDRE; -, Denys; Hidayat, Trifenaus Prabu
Metris: Jurnal Sains dan Teknologi Vol. 22 No. 02 (2021): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v22i02.2626

Abstract

PT. Karya Utama Pratiwi is a company that produces socks from yarn to socks. This company has two parts: the manufacture of socks and the heating section. There are still manual processes in the heating section, or there is still much human intervention. On the contrary, what happens in the sock-making section, which has many machines. The problem that occurs today is that the achievement of production targets is not always achieved, namely as many as 520 finish goods (18720 socks), so the root of the problem is sought. It was found that the production capacity measurement was never carried out, so it becomes the background of research in this study to measure production capacity in the heating section. Capacity measurement begins with measurements at each work station using a predetermined time standard system by paying attention to work movements using the MTM-1 method as input to the ProModel. Initial system simulation results produced an average of 478 in 30 replications. In addition, there are entities experiencing login delays of 10.36 and 21.20 minutes. In some locations, it was seen that they experienced idle time. For example, the oven was 56.97%, above 50%. So, there need to be improvements in order to achieve the target. These things become the basis for making SOPs achieve targets; SOPs are designed and run with ProModel simulations based on possible assumptions. Based on the SOP simulation results, increase production by 2% from the maximum initial simulation conditions from 579 to 594. SOPs will help meet targets and are well executed.

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