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JIEMS (Journal of Industrial Engineering and Management Systems)
Published by Universitas Bunda Mulia
ISSN : 19791720     EISSN : 25798154     DOI : doi.org/10.30813/
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering
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.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 6 Documents
 1 
Search results for , issue "Vol 13, No 2 (2020): Journal of Industrial Engineering and Management Systems" : 6 Documents clear
Optimasi Jumlah Kedatangan Bus Transjakarta Koridor 1 untuk Melayani Penumpang pada Jam Sibuk Menggunakan Simulasi Mirna Lusiani; William William
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): 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.v13i2.2275

Abstract

Public transportation plays an important role in meeting people's needs for traveling. In a big city like DKI Jakarta, public transportation plays an important role in supporting the daily activities of its people. Transjakarta is one of the mass public transportation (bus rapid transit) provided by the local government for the community. One of the corridors that have the highest number of passengers is corridor 1 which serves the Blok M - Kota route. The problem that occurs is the irregularity in the scheduling system and the operation of the buses which are considered to be less than optimal, as a result, many buses are idle or buses travel but only carry a few passengers, especially during peak hours on weekdays. To solve this problem, it is necessary to conduct research that regulates the scheduling of bus arrivals at peak hours to serve a large number of passengers. The method used in this research is a simulation by determining the headway timing and determining the number of buses to operate as optimally as possible. The proposed simulation is made of 3 new scenarios and 1 proposed scenario for real-time conditions. Based on the simulation results, the determination of the headway time of 9 minutes between arrivals and 13 buses used during rush hour, from the previous one with a headway time of 4 minutes between arrivals, but the buses used are 30 buses during peak hours. This proposal given is to save bus usage and maximize the utility of the bus.
Faktor Tampilan dan Penyesuaian Aplikasi pada Kualitas Layanan dalam Menganalisis Loyalitas Pengguna Transportasi Daring Michael Christian
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): 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.v13i2.2279

Abstract

The shift in the pattern of using land transportation modes from conventional to online application-based has helped shape the lifestyle pattern of using different land transportation modes for the community. However, the other side of the presence of this application-based online land transportation mode is to maintain customer needs and expectations through aspects of service quality in applications provided by application-based online transportation service providers. It is not an easy thing to do and maintain. Applications should have quality because applications are the main capital in using online transportation modes. In addition, the information listed on the online transportation mode application is an important factor in providing the suitability of the information in the application. This study aims to analyze the effect of application display factors and feature adjustments in the application on user loyalty of application-based online transportation modes. By using SMART PLS 3.0, the results of this study explain that the attitudes of users of application-based online transportation modes are influenced by the application display factors and the adjustment of features in the application. Furthermore, loyalty is influenced by the attitude of users of application-based online transportation modes. Other recent features as part of service quality can be another factor that can be used to analyze user loyalty for application-based online transportation modes. This is useful for enriching understanding in determining the loyalty of users of application-based online transportation modes.
Kebijakan Pemerintah Mengenai Coronavirus Disease (COVID-19) di Setiap Provinsi di Indonesia Berdasarkan Analisis Klaster Glisina Dwinoor Rembulan; Tony Wijaya; Desribeth Palullungan; Kartika Nur Alfina; Muhammad Qurthuby
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): 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.v13i2.2280

Abstract

Coronavirus disease (COVID-19) is a disease that was only discovered in 2019 and has been reported to have spread to almost all over the world. This pandemic has caused anxiety and fear for all Indonesians because it can be transmitted easily through humans. This study aims to cluster each province in Indonesia into certain clusters so that they can find out the characteristics, movements, and government policies that must be carried out in each cluster. This study uses secondary data regarding COVID-19 cases in Indonesia, which reached 4800 data from March 1 to August 11, 2020, in 34 Indonesian provinces. The four variables used were the number of cases of death, the number of cured cases, the number of active cases, and the number of deaths per one million population. Cluster 1 has a high risk because it has the highest variable number of active cases and the number of deaths per one million population. Cluster 2 has a low risk because it has a variable with the highest number of cured cases and the lowest number of active cases. Cluster 3 has a moderate risk because it has the lowest number of cures variable and the moderate number of active cases. The government policy in cluster 1 should prioritize the variable number of active cases and the number of death cases per one million population, cluster 2 must prioritize the variable number of deaths, and cluster 3 must prioritize the variable number of active cases.
Mereduksi Voice of Customer pada Pengembangan Produk Alat Pembuka Tutup Galon Menggunakan Analisis Faktor Glisina Dwinoor Rembulan; Tony Wijaya; Andrew Ruslie; Jordy Jordy; Rama Adi Saputra Sunadynatha
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): 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.v13i2.2281

Abstract

Currently, bottled drinking water has become the main choice for Indonesians. The percentage of consumption of bottled drinking water by Indonesians in 2018 reached 36.28% and an increase in 2019 reached 38.25%. One package that is often used is gallon packaging. There are several problems that people find when opening the gallon lid. The results of initial interviews with the community indicated that there were several problems, including the high risk of injury to the hands if you opened the gallon lid using a knife and the hands hurt if you opened the gallon cap manually without tools. These problems can be overcome by developing a product for a gallon cap opener that is tailored to customer needs or voice of customer (VOC). The method used in this research is factor analysis. A large number of community necessities make the product development process difficult because of the many needs that must be met. The purpose of this study was to reduce the number of VOCs. The Kaiser Meyer Olkin (KMO) test was used to see the suitability of the data used in factor analysis, while Bartlett's test was used to determine the significant correlation on each indicator. The result of factor analysis shows that 12 customer needs can be reduced to 3 customer needs, namely affordable gallon cap opening price, adjustable gallon cap opener diameter, and multifunctional gallon lid opener.
Segmentasi Konsumen Berdasarkan Model Recency, Frequency, Monetary dengan Metode K-Means Atik Febriani; Syahfara Ashari Putri
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): 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.v13i2.2274

Abstract

A good company is a company that is responsive to market changes and opportunities by utilizing existing data and information. Company data and information can come from internal or external sources. One of the internal data sources that can be utilized is customer data. This data will be used as the basis for determining customer segmentation. Segmentation is a process to determine customer characteristics with certain similarities, making it easier to extract information related to profitable customers. Customer business behavior can be seen from recency (last transaction period), frequency (number of transactions), and monetary (rupiah issued) or known as RFM analysis. The effective RFM analysis helps achieve the implementation of customer relationship management because this model is an important facility in measuring the profitability of customer value. To consider this RFM model, researchers use clustering which assumes that customers are in the same cluster, then consider customers with customers in the cluster. This clustering will display customer segmentation. This clustering method uses K-Means clustering. From the results of data processing, 3 clusters were formed from 25 customer data. Based on the clusters formed, it can be concluded that customer purchases have a different pattern. Clusters included in the segment of potential customers are cluster 1. Clusters are needed to get customers who previously had low R, high F, and high M values. While the strategy that needs to be improved is cluster 2.
Perancangan Sistem Persediaan Berbasis Website pada PT. Asahi Fibreglass Ignatius Adrian Mastan; Raynaldo Kurniawan
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): 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.v13i2.2282

Abstract

The development of technology which continues to increase rapidly has an impact on the internal processing of a company that is required to run faster. Information system technology is the main solution as a tool for activities in a company that is faster and more practical, and allows obtaining data that is more valid, precise and minimizes errors. PT Asahi Fibreglass is a company in Jakarta which started its business from 2001 which is engaged in manufacturing and marketing products for the needs of fiberglass products for industrial, residential, building and property needs. In operational activities of PT. Asahi Fibreglass has several obstacles in the process of recording stock items which still use a book-based recording method which makes recording look messy, there are differences in recording the physical stock of goods in the warehouse with the recording of goods recorded in a Microsoft Excel file, there are missing or tucked data because it still uses manual methods and is still book-based. The purpose of creating a web-based inventory information system at PT Asahi Fibreglass is a system improvement in regulating the flow or path of the process of in and out of warehouse goods that will replace the old inventory system that still uses Microsoft Excel, as well as speed up the process of making reports, and minimize errors in the inventory recording process.

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