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Maria Magdalena Wahyuni Inderawati
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wahyuni.inderawati@atmajaya.ac.id
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Program Studi Teknik Industri Universitas Katolik Indonesia Atma Jaya Kampus 3 Cisauk, Jalan Raya Cisauk Lapan No. 70, Cisauk, Tangerang, Banten Banten, 15345
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INDONESIA
Metris: Jurnal Sains dan Teknologi
ISSN : 14113287     EISSN : 28084810     DOI : https://doi.org/10.25170/metris
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.
Articles 199 Documents
Perilaku Konsumen dalam Pemilihan Online Shop Instagram Sukwadi, Ronald
Metris: Jurnal Sains dan Teknologi Vol. 17 No. 02 (2016): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The primary purpose of this paper is to investigate the determinants of consumer purchase intention in online shop Instagram. 200 respondents were participated in this research. Data was collected using a survey method and analyzed using structural equation model AMOS 24. Result of natural experiment indicates that only satisfied customers will have intention to buy online products through Instagram.
Performance Assesment Based on Malcolm Baldrige Model Criteria in The Automotive Industry: A Case Study Silitonga, Riana Magdalena; Jou, Yung-Tsan
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.v22i02.2953

Abstract

The performance of a company is supported by the performance of workers from various departments and levels of work in the company. Performance measurement is needed to evaluate the condition of the company. Bakom Metal Industry is an automotive company that produces pistons. BMI is an OEM company that has become a supplier to several large companies such as Astra and Daihatsu. One of the departments that play an essential role in increasing the company's sales is the Production Department. Therefore, this study aims to assess the current performance of the production department and provide improvement strategies to achieve performance excellence and quality using the Malcolm Baldrige method. The assessment in this study uses two methods, qualitative and quantitative methods. The evaluation result based on the interview got a value of 618.5, and based on the questionnaire got a weight of 734.79. Based on the outcome of the two methods, it indicates that the production department has shown good performance, which is included in the excellent category as an industry leader. The assessment in the production department will provide the strengths and opportunities for evaluation to improve the performance and to be able to compete with competitors.
Perbaikan Kondisi Keseimbangan Lintasan Produksi Dengan Penerapan Metode Genetic Algorithm Pada Lintasan Produksi Muffler K-59J PT XYZ Sutomo, Febryan; Hidayat, Trifenaus Prabu; Bachri, Karel Octavianus
Metris: Jurnal Sains dan Teknologi Vol. 23 No. 01 (2022): 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.v23i01.2961

Abstract

PT. XYZ merupakan sebuah perusahaan manufaktur yang bergerak dibidang otomotif dan sudah berjalan sebagai supplier komponen otomotif untuk beberapa perusahaan otomotif terkemuka di Indonesia. Kebanyakan proses produksi pada PT. XYZ sudah berjalan dengan baik. Tetapi terdapat salah satu sub produk mereka yang memiliki kendala dalam proses produksinya yaitu muffler K-59J. Pada lintasan produksi muffler K-59J dinilai kurang optimal dalam proses produksinya. Hal tersebut dilihat dari banyak kendala yang timbul selama proses produksi berlangsung. Mulai dari terjadi penumpukan (bottleneck), Target produksi harian sering tidak tercapai sehingga sering terjadi waktu kerja tambahan (overtime), dan jika dilihat secara data nilai efisiensinya hanya sebesar 58,81 %. Dengan demikian, penelitian ini bertujuan untuk meningkatkan performa dari lintasan produksi tersebut. Oleh karena itu diusulkan metode Algoritma Genetik yang bersifat komputerisasi untuk meningkatkan performanya. Proses penyelesaian penelitian ini dilakukan dengan bantuan program matlab dalam pengerjaan metode Algoritma Genetik. Pada prosesnya, dilakukan beberapa tahapan mulai dari membuat representasi genetik, menyeleksi populasi induk, melakukan rekombinasi dan mutasi, dan regenerasi populasi. Tetapi terdapat sedikit perbedaan pada penlitian ini dimana populasi awal yang dibentuk merupakan populasi yang sudah tersaring kedalam syarat-syarat keseimbangan lintasan antara lain sesuai dengan diagram alurnya, dan jumlah waktu stasiun kerja tidak melebihi cycle time. Dari hasil pengerjaan metode Algoritma Genetik tersebut, didapatkan besar efisiensi lintasan sebesar 74,07 % dengan total stasiun kerja sebanyak 18 stasiun kerja. dengan demikian nilai efisiensi lintasan berhasil ditingkatkan sebesar 15,26 %.
Evaluasi Tingkat Usability Situs Belanja Online X Menggunakan Tobii-Eye Tracker dan Face Reader -, Yanto; Salim, Regina Fortunata
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.v22i02.2968

Abstract

This study aimed to evaluate the usability of a popular online shopping site. For usability testing, a number of 10 university students were recruited as participants. They were asked to perform two simulation tasks related to online shopping behaviour. Their responses were measured using Tobii Eye-Tracker and Noldus FaceReader. The results showed that the shopping online site under study could be classified as good usability with a high level of effectiveness and efficienty in using the site. The Tobii Eye-Tracker results showed that eye movement as the user's focus was on the product type, specifications, and price. Meanwhile, the FaceReader showed that most participants have neutral facial expression while runningon the site. This study also suggested that improving the performance of shopping sites can be done by focusing more on product types, specifications and prices.
Risk Mitigation on Metalworking Oil & Fluids Business Process by Integrated House Of Risk (HOR) and Fishbone Diagram Approach Natalia, Christine; Oktavia, Chendrasari Wahyu; Silaban, Sonia Artha Ria; Surbakti, Feliks Prasepta Sejahtera
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.v22i02.3040

Abstract

Business processes take an essential role in creating strategic goals for every company. However, It is not easy things in current condition. In the business process, every company has many vulnerable activities to risk. This research was conducted in the company engaged in the manufacturing industry that produces and supplies metalworking oils & fluids. So far, the company has experienced risk events such as late production and late delivery. This research aims to analyse and design the risk mitigation strategies of the company’s supply chain by using House of Risk and Fishbone Diagram approaches. By integrating these two methods, the root of the risk agent can be specifically identified and make it easier to design risk mitigation strategies. The purpose of this research is to analyse and design a risk mitigation strategy using the integrated HOR and Fishbone Diagram approach in the supply chain of a metalworking oils & fluids company. This research indicates twenty risk events, six priority risk agents, sixteen root of risk agents, and six priority mitigation strategies. The six priority mitigation strategies include implementing reward and punishment for better SOP, starting with briefing every day before activities, providing regular training to the employees, hiring great employees, establishing employee performance appraisal effectively, and maintaining machines preventively.
Analisis Kepuasan Kerja,Budaya Organisasi,Turnover Intention dan Kinerja Karyawan Perusahaan Asuransi Prasetya, Wibawa; Aryantoro, Gregorius Wisnu
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.v22i02.3105

Abstract

This research is a type of survey research that aims to analyze job satisfaction, organizational culture, turnover intention and performance of employees of insurance companies. In addition, to examine the effect of job satisfaction and organizational culture on the level of turnover intention and employee performance. The research method used is a quantitative method. Data collection using a questionnaire that has been tested for validity and reliability. The sample in this study amounted to 170 respondents taken from an unknown population The sampling technique was used purposive sampling. The data obtained is calculated the average value per research variable. To determine the effect between variables, the data were processed and analyzed using the Structural Equation Modeling (SEM) method with LISREL 8.80 software. The results of the research show that job satisfaction has an effect on turnover intention, organizational culture has an effect on turnover intention, job satisfaction has an effect on employee performance, while organizational culture has no effect on employee performance and turnover intention has no effect on employee performance. The average value of job satisfaction is 3.92, which means that employees are satisfied with the work itself, salary, co-workers, existing promotions. The average value of organizational culture is 4.07, which means that employees feel the freedom to express opinions, a good company environment and employee involvement in completing work. The average value of Turnover Intention is 1.89, meaning that the employee's desire to move, absenteeism and violation of regulations is high. The average value for performance is 4.21, which means that the quantity, quality and use of time in completing the work are very good.
OPTIMASI ALOKASI SISTEM PENGOLAHAN SAMPAH ANORGANIK DENGAN METODE CAPACITATED MAXIMUM COVERING LOCATION PROBLEM Silalahi, Agustinus; Zefanya, Eva Angelica; Natalia, Christine; Prasetya, Wibawa
Metris: Jurnal Sains dan Teknologi Vol. 23 No. 01 (2022): 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.v23i01.3224

Abstract

Province X in Indonesia has a significant problem with trash that has been challenging to address. The Environment Agency therefore desires to construct an inorganic Trash Management System. The Environment Agency has four potential locations with various capacities. The purpose of this research is to locate a trash treatment system's best possible site and allocate each TPS that is less than 30 km and more over 30 km from the chosen system, respectively, to ensure that the overall distance traveled is as little as possible. There are four possible locations, and it required to select three of them. This study use the LINGO 18.0 software to solve the Capacitated Maximum Covering Location Problem (CMCLP) approach. Distance parameters used by CMCLP are split into two stages. The first stage is to determine the location of the trash treatment system to be built and the allocation of trash and the amount of trash from each TPS using Mix Integer Programming. B is not chosen out of the options, which are A, B, C, and D. System A will receive 1,407,520 tons of trash totaling 24 TPS. System C receives trash from 147 TPS weighing 1,294,495 pounds. System D will receive trash weighing 819,142 tons from 88 TPS. The allocation of trash from TPS that are more than 30 km away takes place in the second stage. Three TPS are assigned to System A, and seven TPS are assigned to System D.
Studi Literatur Indikator Kinerja Pelabuhan Secara Internal Dan Eksternal Praharsi, Yugowati; Hardiyanti, Fitri; Puspita Sari, Devina; Akseptori, Ristanti; Maharani, Aditya
Metris: Jurnal Sains dan Teknologi Vol. 23 No. 02 (2022): 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.v23i02.3258

Abstract

Banyaknya Pelabuhan di Indonesia yang belum menerapkan Key Performance Indicator dalam evaluasi operasional kerjanya dan minimnya pengembangan teknologi sebagai nilai tambah dalam operasional Pelabuhan di Indonesia. Dilakukannya evaluasi dan pengukuran kinerja berdasarkan pada standar yang ada merupakan hal yang cukup penting dalam peningkatan kualitas kerja. Penelitian ini bertujuan untuk memberikan rumusan KPI dengan merujuk pada gabungan metode BSC dan PESTLE untuk meningkatkan kinerja pelabuhan. Penggabungan metode BSC dan PESTLE yang juga disertai dengan konsep sustainability, smart dan green port. Metode BSC digunakan sebagai ukuran kinerja perusahaan secara keseluruhan tetapi lebih menitikberatkan pada aspek internal perusahaan, sedangkan PESTLE digunakan sebagai ukuran kinerja pada aspek eksternal pelabuhan. Berdasarkan hasil studi literatur, metode-metode tersebut terbukti dapat digunakan sebagai alat ukur kinerja pelabuhan, sehingga perlu diintegrasikan karena perusahaan harus berada pada posisi kompetitif dengan informasi internal dan eksternal yang dibutuhkan. Oleh karena itu, penggunaan KPI yang telah dirumuskan dalam proses evaluasi kinerja Pelabuhan cukup penting untuk dilakukan.
Understanding Effective Use of Big Data: Challenges and Capabilities (A Management Perspective) Surbakti, Feliks Prasepta Sejahtera
Metris: Jurnal Sains dan Teknologi Vol. 23 No. 01 (2022): 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.v23i01.3274

Abstract

While prior research has provided insights into challenges and capabilities related to effective Big Data use, much of this contribution has been conceptual in nature. The aim of this study is to explore such challenges and capabilities through an empirical approach. Accordingly, this paper reports on a multiple case study approach, involving eight organizations from the private and public sectors. The study provides empirical support for capabilities and challenges identified through prior research and identifies additional insights viz. problem-driven approach, time to value, data readiness, data literacy, data misuse, operational agility, and organizational maturity assessment.
Analisis Peramalan Dengan Simulasi Monte Carlo dan Implementasi Pengendalian Persediaan Gula Berdasarkan EOQ Oktavia, Chendrasari Wahyu; Sugioko, Andre
Metris: Jurnal Sains dan Teknologi Vol. 23 No. 01 (2022): 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.v23i01.3526

Abstract

Inventory control has an important role to maintain the stability of the company's business continuity. With inventory control, companies can meet consumer needs and consumers will feel satisfied if the demand comes on time. On the other hand, with this focus on inventory control, company management must also be careful if the raw material inventory is too large, it will result in high inventory costs, on the other hand, if there is too little raw material inventory, it will result in unfulfilled consumer needs. The purpose of this study is to identify forecasting the amount of sugar demand in 2019 and determine the amount of inventory costs from the forecasting results using EOQ. It is hoped that in the future the company will not only be able to know the future demand side based on forecasting, but the company already has an estimate of the total cost of inventory. The need for sugar raw materials from the forecasting results is 170,173 kg. Where the most needs are in April and November 2019, the number of economic purchases is 5218 kg with a frequency of ordering 33 times a year. Based on company policy, there is currently no information on safety stock and reoder points set by the company. With the EOQ proposal, the results of the safety stock and reoder point are 34,349 kg and 70,875 kg, respectively. The TIC proposal based on the EOQ is able to reduce the total inventory cost which was originally with the company's policy of Rp. 1,805,785,530 to Rp. 1,805,138,304 where this figure saves Rp. 647,226