cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota serang,
Banten
INDONESIA
Jurnal Sistem dan Manajemen Industri
Published by Universitas Serang Raya
ISSN : 25802887     EISSN : 25802895     DOI : -
Core Subject : Engineering,
Engineering Industrial & Manufacturing Engineering Transportation
This journal aims to publish the results of research in the field of Industrial Engineering is published twice a year, managed by the University of Serang Raya. The scope of Sciences covers Operations Research, Manufacturing System, Industrial Management, Ergonomics and Work System, Logistics and Supply Chain Management, and other scientific studies in accordance with scope field of Industrial Engineering research.
Arjuna Subject : -
Articles 14 Documents
 1   2 
Search results for , issue "Vol. 5 No. 2 (2021)" : 14 Documents clear
Application of lean six sigma methodology to improve the weight inconsistency problem of coffee powder packaging Aziz, Nik Alimi Nik; Ahmad, Rosmaini; Mustafa, Shaliza Azreen; Sin, Tan Chan; Jusoh, Muhammad Shahar
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i2.3729

Abstract

This paper presents a continuous improvement (CI) project based on the application of Lean Six Sigma (LSS) methodology. This project was carried out at coffee manufacturing industry located in northern area of Malaysia. The focus of this presented CI project is to improve the weight inconsistency problem of coffee powder packaging. The presented CI project was mainly guided with Six Sigma methodology of Define, Measure, Analyze, Improve and Control (DMAIC) steps, and related Lean tools applications. The step of Define summaries the overall view of CI project. In the step of Measure, current level of sigma based on defect per million of opportunities (DPMO) calculation was determined. Initially, 6% of rejected products were recorded, which it presents the sigma level at 3.1. In the step of Analyze, a series of team-based activities towards root cause identification was carried out. It included the applications of cause effect (CE) analysis and possible causes prioritization and close observations on packaging process. In the step of Improve, the related Lean tool was proposed to improve the problem under study. In the final step of Control, related supportive actions were suggested to sustain the effectiveness of the proposed solution. There are fourteen possible causes are initially identified in CE analysis and based on team’s evaluation process of possible causes prioritization four causes are collectively to be the most possible of root cause(s). Three close observation sessions were carried out to finalize the most possible root cause of the problem. Result strongly suggested that the high variation of coffee powder’s size and inconsistency is the root cause. An improvement strategy based on Lean Manufacturing approach called ‘poka yoke’ is proposed. The proposed improvement strategy was then validated based on real packaging process scenario. Result shows that the proposed improvement strategy is significantly effective to solve the problem with 0% of reject product was recorded so far, where it is not only produced the product within the acceptable weight of 215 and 208 grams, but also presents the reduction of weight fluctuation that close to ideal weight of 208 grams.
Application of lean manufacturing technology in a milk manufacturing company Onifade, Morakinyo Kehinde; Oroye, Olufemi Adebayo
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i2.3736

Abstract

This work presents the application of lean management principle in the area of waste elimination in a powder milk plant of a production company. The existing manufacturing procedure for the company’s plant was evaluated, and a lean manufacturing technique was developed for the plant. To achieve this, a time series analysis was carried out on the econometric data obtained, and a future forecast predicting losses and usage was predicted based on the practised manufacturing procedures. The econo­metric linear transfer function technique applied to the actual usage and actual loss data obtained filtered the waste in the production process and generated forecast values for actual loss and usage. This revealed that there had been poor manufacturing practices in the factory. The findings from this research can be used as a guide to managers on wastage control in a production system.
Performance evaluation of after-sales service partners in the power tools industry Aljabar, Muhammad Wahid Malik; Hasibuan, Sawarni
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i2.3985

Abstract

After-sales service (ASS) is a product support activity provided to customers; after-sales service that focuses on quality can create a sustainable competitive advantage. This study aims to the ASS performance, analyze the causes of performance constraints that occur in ASS and recommendations for improving the performance of ASS conceptually. Service partner performance achievement can be assessed from four categories, i.e. very good, good, bad, and poor, based on the actual level of performance compared to performance targets. The sample of this research is 12 ASS partners in the electrical equipment industry in West Java and Jakarta. Factors causing failure were analyzed descriptively using the fault tree analysis (FTA) method, which involved experts in focus group discussions (FGD). Based on the evaluation, 25% of partners were rated good, 50% poor, and 25% very poor. Partner performance achievement is carried out on 22 performance indicators, of which 20 performance indicators have not achieved a good rating. These indicators relate to brand issues, warranty, training, parts control and stock management, pricing, and service systems, including service centers and service facilities. The proposed concept that becomes a recommendation for improving the performance of power tools ASS is improving the operating system and the selection of partners in the service center and service dealer categories with industrial customer segmentation.
A mobile application for assessing the product success on crowdfunding campaign: the development and usability testing Pasmawati, Yanti; Wijayanto, Titis; Tontowi, Alva Edy; Hartono, Budi
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i2.4073

Abstract

Crowdfunding is one of the alternative sources of finance for product-based startups. Products are funded if the campaign is considered to be successful in reaching the target. The assessment of the success rate of product campaigns develops into three successive levels, namely overfunding, successful and unsuccessful. Due to the complication of setting up a product campaign on an online crowdfunding platform, a mobile application to aid campaigners needs to be developed. Moreover, it is essential to evaluate its ease to use. This study aims to (1) develop an android-based application, (2) evaluate the usability of the application based on user perceptions. The application ('POSCA') was developed by emphasizing user experience (UX), while the Use Questionnaire evaluated its usability. Ten participants were invited to evaluate the system usability and interface. The results suggest that 'POSCA' has good scores of usability: ‘efficiency’ = 49.11% in the fifth trial, ‘very-easy-to-learn’ (95%), ‘useful’ (85%), ‘easy-to-use’ (87%), and ‘satisfy-the-users’ (88%).

Page 2 of 2 | Total Record : 14

 1   2 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Vol. 9 No. 2 (2025): December Vol. 9 No. 1 (2025): June Vol. 8 No. 2 (2024): December Vol. 8 No. 1 (2024): June Vol. 7 No. 2 (2023): December Vol. 7 No. 1 (2023): June Vol. 6 No. 2 (2022): December Vol. 6 No. 1 (2022) Vol. 5 No. 2 (2021) Vol. 5 No. 1 (2021) Vol. 4 No. 2 (2020) Vol. 4 No. 1 (2020) Vol. 3 No. 2 (2019) Vol. 3 No. 1 (2019) Vol. 2 No. 2 (2018) Vol. 2 No. 1 (2018) Vol. 1 No. 2 (2017) Vol. 1 No. 1 (2017) More Issue