Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi (JEBIMAN)
Heru Sutejo
Universitas Sepuluh Nopember Papua, Indonesia
Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PENERAPAN METODE SIMPLEKS UNTUK OPTIMASI MEMINIMALKAN BIAYA PRODUKSI ES BUAH MAROS MENGGUNAKAN QM FOR WINDOWS Welpison Jr. Wonerengga; Rafli Muhammad. F, Piter Logo, Vasilli Z. P. Jafil, Siors Salak, Ahmad D. A. Ramli; Heru Sutejo
JEBIMAN : Jurnal Ekonomi, Bisnis, Managemen dan Akuntansi Vol. 3 No. 2 (2025): JEBIMAN: Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi
Publisher : CV. ADIBA AISHA AMIRA

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

Abstract

The development of MSMEs (Micro, Small, and Medium Enterprises) has significantly increased and has had a considerable impact on the economy. MSMEs play a role in boosting both regional and national economies. Es Buah Maros MSME, which specializes in producing fruit ice, es pisang ijo, and mixed fruit ice, faces challenges in minimizing production costs, including raw materials and working hours, while maintaining a weekly income of IDR 3,000,000. The purpose of this study is to increase the profitability of Es Buah Maros production by reducing raw material costs, working time, and production costs using the Linear Programming method with QM For Windows V5. The linear programming method is used to predict working time, raw material costs, and production costs, with the available production time being 840 minutes. The results of the study show that by using the QM For Windows V5 application and the linear programming method, it is possible to reduce the minimum cost by IDR 280,000 by producing fruit ice as indicated in the solution X1 = 28 (twenty- eight portions) of fruit ice per day, without reducing the weekly income of IDR 3,000,000. The aim is for this production cost efficiency to contribute to making the Es Buah Maros MSME more effective and efficient in its production process while achieving ideal income levels. In this study, the QM For Windows V5 application and the linear programming method were used to predict working time, raw material costs, and production costs by utilizing historical data and statistical analysis. This approach helps make the production process more effective in managing operations without disruptions. The results of this research are expected to help Es Buah Maros MSME minimize production costs without compromising product quality
MINIMALISIR BIAYA DISTRIBUSI AIR GALON MENGGUNAKAN METODE TRANSPORTASI LEAST COST BERBASIS QM FOR WINDOWS Khaerunnisa Khaerunnisa; Nurhidayah; Heru Sutejo
JEBIMAN : Jurnal Ekonomi, Bisnis, Managemen dan Akuntansi Vol. 3 No. 2 (2025): JEBIMAN: Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi
Publisher : CV. ADIBA AISHA AMIRA

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

Abstract

The distribution of bottled water is an important activity in ensuring the availability of clean water for the community, especially in areas with increasing demand due to population growth. However, this distribution process often faces major obstacles in the form of high operational costs, particularly in small and medium enterprises (SMEs) with limited resources. This study aims to minimise the cost of bottled water distribution by applying the Least Cost Transportation method using the QM For Windows application to the bottled water filling and delivery business owned by Mrs. Nur Linta, located in Kamkey, Abepura. This method was chosen because it provides an optimal solution in determining the most cost-efficient distribution pattern, considering the limitations of delivery capacity and daily customer needs. The data collected includes daily water supply, demand in three target areas (Abe Lingkaran, Kamkey, and Tanah Hitam), and delivery costs per gallon for each distribution route. The analysis results indicate that the application of the Least Cost method yields optimal delivery allocation, with a minimum total cost of $340 (IDR 5,440,000), without compromising service quality or delivery capacity. This study demonstrates that quantitative approaches such as the least cost method can be practically implemented at the SME scale to improve logistics efficiency, reduce operational costs, and support more rational and systematic decision-making in the distribution process
Co-Authors Khaerunnisa Khaerunnisa Nurhidayah Rafli Muhammad. F, Piter Logo, Vasilli Z. P. Jafil, Siors Salak, Ahmad D. A. Ramli Welpison Jr. Wonerengga