cover
Contact Name
Filscha Nurprihatin
Contact Email
fnurprihatin@bundamulia.ac.id
Phone
+62216909090
Journal Mail Official
jiems@ubm.ac.id
Editorial Address
Lodan Raya street No. 2
Location
Kota tangerang,
Banten
INDONESIA
JIEMS (Journal of Industrial Engineering and Management Systems)
ISSN : 19791720     EISSN : 25798154     DOI : doi.org/10.30813/
Journal of Industrial Engineering and Management Systems (JIEMS) publishes scientific papers, including empirical research, theoretical and scientific related original industrial engineering. The focus and scope of JIEMS include manufacturing systems, production, logistics, supply chain management, operations research, product design, ergonomics, and the other field of industrial engineering expertise groups.
Articles 6 Documents
Search results for , issue "Vol 12, No 1 (2019): Journal of Industrial Engineering and Management Systems" : 6 Documents clear
Pengaruh Bauran Pemasaran Terhadap Perpindahan Merek Pelanggan Restoran Cepat Saji di Karawang Menggunakan Metode Markov Chains dan Game Theory Rianita Puspa Sari; Ahmad Surahman; Aditia Ayu Rahma Nabila
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 12, No 1 (2019): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v12i1.1532

Abstract

As an area that has evolved into one of the industrial cities in Indonesia, Karawang has experienced rapid growth, especially in the fields of industry and business. This causes a change in lifestyle so that modern society is bornthat is synonymous with consumptive behavior patterns which result in new needs that are presented practically in people's lives, one of which is restaurant food needs so that growth presence of fast food restaurants in Karawang. Competition between fast food restaurants can result in the brands switch to customers, so marketing mix strategy (9P) is needed (Product, Price, Promotion, Place, People, Process, Physical Evidence, Packaging, Payment). This study aims to analyze the effect of the marketing mix on brand movement, the rate of movement of fast food restaurant brands (X, Y, and Z) at Karawang, and the right strategy for companies to win the competition. The Markov Chains method is used to predict the market share of a product from the level of transfer of fast-food restaurant brands in Karawang, while Game Theory is to determine the right strategy in the marketing mix in the face of shifting customer brands. Research results obtained from 113 respondents who are valid and reliable,with the relationship of the two low variables are negative at -0.083 interpreting that the marketing mix correlation with brand displacement has an inverse relationship so that the marketing mix of fast food restaurants increases, the customer's brand shift will be lower. The brand transfer rate is predicted to have a market share in the coming year of 33.2% X, 36.2% Y and 30.6% Z with competitive strategies that can be done by increasing the Promotion and Location of Fast Food Restaurants.
Pengaruh Kualitas Pelayanan dan Fasilitas Lahan Parkir terhadap Kepuasan Civitas Kampus Asep Erik Nugraha; Kusnadi Kusnadi; Sarah Dampang
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 12, No 1 (2019): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v12i1.1536

Abstract

The demand for accessible parking services and facilities are growing in the University of Singaperbangsa Karawang (Unsika). This occurred due to the increasing number of vehicles need parking spaces. Some problems can happen because of scrambling over the space, the improper of parking lot building, the ineffective actions in allocating and checking the traffic signs, and the unavailability of traffic signs. The focus of this research was the campus community who use the parking lot. They became the object of the research. The data analysis was used to determine the level of the satisfaction of the campus community towards the service quality and parking facilities in Unsika using the Wilcoxon Signed Rank Test method with Statistical Product and Service Solutions (SPSS) application. The results showed that the campus community was complaining about the quality of service and parking facilities. The perceptions were given in the form of negative perceptions because it was not in line with expectations. The respondents were hoping that the university would pay attention to the quality of services and facilities.
Evaluasi Kinerja Pada Mesin Casting Menggunakan Metode Overall Equipment Effectiveness di PT. Surya Toto Indonesia Selamet Riadi; Syaiful Anwar
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 12, No 1 (2019): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v12i1.1531

Abstract

PT. Surya Toto Indonesia is a company engaged in ceramic sanitary wares and plumbing hardware. One of the company’s problems regarding production is high breakdown times. This breakdown causes a decrease in engine speed, even farther affects the output that has been previously planned. This study aims to measure the value of overall equipment effectiveness (OEE), to know the factors lead to decreased effectiveness through Six Big Losses and to provide recommended improvements. This study begins by measuring the value of OEE, then identifying the Six Big Losses and analyzing the causes of the problem of decreasing machine effectiveness. OEE calculation components are availability, performance efficiency and rate of quality. The results showed that the percentage of Availability Value calculation ranged between 90%-96%, while the percentage of Performance Efficiency value calculation ranged between 37%-64%, then the result of the calculation of Rate of Quality 96.7%-99.8%. Then obtained the percentage of the calculation value of OEE which ranged between 35%-59%, with an average value of OEE in January to December 2017 that is equal to 47%. This value of effectiveness is relatively low because the standard value of OEE for world-class is 85%. While the factor of Six Big Losses most influential on the low effectiveness of the machine is Reduced Speed Losses with a total time loss of 11691 minutes.
Analisis Pengendalian Kualitas dan Pengembangan Produk Wafer Osuka dengan Metode Six Sigma Konsep DMAIC dan Metode Quality Function Deployment di PT. Indosari Mandiri Didik Sutiyarno; Chriswahyudi Chriswahyudi
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 12, No 1 (2019): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v12i1.1535

Abstract

PT. Indosari Mandiri is an industrial company engaged in the manufacture of snacks. Problems that are being faced by PT. Indosari Mandiri is currently the number of defective products in flat wafer products, especially in Osuka wafer products. The number of product defects in the production process for one shift is an average of 30%. The current defect condition is very far from the tolerance of company defects which is 15%. To overcome these problems, Six Sigma methods are used. Six Sigma consists of Define, Measure, Analyze, Improve and Control (DMAIC). In the Define stage, the wafer osuka production process is defined and the Critical to Quality (CTQ) is determined. From the CTQ identification, there are several types of defects in the product, each of which is tough, the sheet is not full, dirty, broken, broken and peeled off. In the Measure stage, Six Sigma is calculated and determine the sigma level. In the Analyze stage, analysis of defect selection is done with a causal diagram or fishbone diagram, and the most dominant defects obtained are in the Creaming and Cutting section. The Improve stage is done by the Quality Function Deployment (QFD) method, to listen to the voices of loyal consumers of Osuka Wafer products. At the control stage, the input is only given to the company regarding the quality improvement of the osuka wafer product so that defective products can be suppressed. In this study it was concluded that improvements in the creaming and cutting process area need to be done immediately, in line with the QFD method that requires repairs to the area to improve or meet consumer desires.
Mengurangi Antrean pada Stasiun Pengisian Bahan Bakar Umum dengan Pendekatan Simulasi Menggunakan ProModel Mirna Lusiani; Anie Belita
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 12, No 1 (2019): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v12i1.1534

Abstract

The gas station has become an important facility for the public, especially for people in large cities such as Jakarta. This condition was caused by increasing demand from year to year. The number of facilities has less number than the customer that came, which could cause queueing in the station. This research was made with the purpose to reduce the number of the queue and increase the number of customers serviced at the gas station. This research located on one of the gas stations in Jakarta at 16.00-18.00 from Monday to Friday. The data used for this research is primary data which was observed directly by the researcher. The data used for this research are the number of customers arrived and service time. Data analysis is using discrete-event simulation with ProModel software. The conclusion of this research is the actual system has a relatively high number of queueing customer which also affect the reduced number of customers that was served. Improvement model was created by decreasing the service time by 10% with the average number of queues by 4 customers for Pertalite and 4customers for Premium. Scenario model is also designed as a proposal by using customer migration scenario from Premium to Pertalite by 30%, 60%, and 100%. The proposed system for the first scenario is by decreasing the service time by 20% with the average number of queues by 8 customers for Pertalite and 1 customer for Premium. For the second scenario is by modifying the queueing system and decreasing the service time by 10% with the average number of queues by 8 customers for Pertalite and 7 customers for Premium. For the third scenario is by opening a new server for Pertalite with the average number of queues by 5 customers.
Analisis Total Productive Maintenance pada Mesin Laminating I dengan Metode Overall Equipment Effectiveness Zulkani Sinaga; Tri Maryanto
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 12, No 1 (2019): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v12i1.1533

Abstract

This research was conducted on one of the giant manufacturers of musical instrument equipment that is inseparable from problems related to the effectiveness of the machine/equipment caused by the six big losses. The improper handling and maintenance of the machine can result in losses called the six big losses. The first stage in the effort to increase production efficiency in this company is to measure the effectiveness of laminating machine I using the overall equipment effectiveness (OEE) method which is then followed by measuring the OEE six big losses to find out the amount of efficiency lost in the six big losses. From these six factors, then what factors are found to give the greatest contribution that result in the large amount of efficiency lost in laminating machines I. The causal diagram can be analyzed the real problem which is the main cause of high losses resulting in low efficiency on laminating-machine I. Conclusions that can be taken on laminating machine I that the OEE value for the period April 2016 to March 2017 ranged from 61.08% to 83.91%. This condition indicates that the ability of laminating-machine I to achieve targets and achieve effectiveness has not reached the ideal condition (≥86%). As for those that affect the OEE value and become the top priority, the reduced speed factor is 78.79%.

Page 1 of 1 | Total Record : 6


Filter by Year

2019 2019


Filter By Issues
All Issue Vol 16, No 2 (2023): Journal of Industrial Engineering and Management Systems Vol 16, No 1 (2023): Journal of Industrial Engineering and Management Systems Vol 15, No 2 (2022): Journal of Industrial Engineering and Management Systems Vol 15, No 1 (2022): Journal of Industrial Engineering and Management Systems Vol 14, No 2 (2021): Journal of Industrial Engineering and Management Systems Vol 14, No 1 (2021): Journal of Industrial Engineering and Management Systems Vol 13, No 2 (2020): Journal of Industrial Engineering and Management Systems Vol 13, No 1 (2020): Journal of Industrial Engineering and Management Systems Vol 12, No 2 (2019): Journal of Industrial Engineering and Management Systems Vol 12, No 1 (2019): Journal of Industrial Engineering and Management Systems Vol 11, No 2 (2018): Journal of Industrial Engineering and Management Systems Vol 11, No 1 (2018): Journal of Industrial Engineering and Management Systems Vol 10, No 2 (2017): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 10, No 1 (2017): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 9, No 2 (2016): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 9, No 1 (2016): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 8, No 2 (2015): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 8, No 1 (2015): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 7, No 2 (2014): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 7, No 1 (2014): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 6, No 2 (2013): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 6, No 1 (2013): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 4, No 2 (2011): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 4, No 1 (2011): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 3, No 2 (2010): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 3, No 1 (2010): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 2, No 2 (2009): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 1, No 2 (2008): Journal of Industrial Engineering and Management Systems (JIEMS) Vol 1, No 1 (2008): Journal of Industrial Engineering and Management Systems (JIEMS) More Issue