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All Journal Edumatsains Jurnal Matematika UNAND Journal of Mathematics and Scientific Computing With Applications
Rina Widyasari
Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Education Mathematics Physics

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PROFIT OPTIMIZATION OF RICE FARMING BUSINESS ENTITIES IN JASMINE VILLAGE, DELI SERDANG Nisa Khairani; Dedy Juliandri Panjaitan; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 1 No. 2 (2020)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.247 KB)

Abstract

This study aims to optimize the yield from rice farming in Melati village. Theresults of the calculation of profit optimization using the simplex method. Thisresearch uses primary and secondary data. The problem in this study is the lackof capital and labor so that the results of agricultural income have not reachedoptimum due to the lack of raw materials needs by agriculture. The purpose ofthis research is to solve the problem of limited resources optimally by usinglinear functions and to find out how to apply them well in maximizing optimalprofits.
Identification of Dominant Factors Affecting Study Time and Waiting Time of Mathematics Undergraduate Using the Least Absolute Shrinkage And Selection Operator (LASSO) Hendra Cipta; Rina Widyasari; Linna Syahputri
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 9 No 1 (2024): July
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v9i1.6069

Abstract

Higher education is a level of education that is able to produce and prepare graduates so that college graduates are able to compete and are ready to face the world of work. The aim of this research is to determine the dominant factors that influence the study period and waiting time for undergraduates in Department of Mathmatics FST UIN Sumatera Utara Medan until they get their first job in less than 9 months. The Least Absolute Shrinkage And Selection Operator (LASSO) method was used in this research, where this method is expected to be able to provide high accuracy results in terms of determining the most dominant factors. From the results of calculations using the LASSO method, the three most dominant factors that greatly influence the study period and waiting time for undergraduates are working status (X3), organizational participation (X5), grade point average (X2), final assignment position (X2). By producing this most dominant factor, it is hoped that mathematics study programs will care more about their students by making major and minor improvements to future accreditation
Multi-Goal Programming Model for Optimal Priority in Building Material Production Planning Hendra Cipta; Rina Widyasari
Jurnal Matematika UNAND Vol. 15 No. 3 (2026)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.15.3.371-387.2026

Abstract

One crucial activity for a company’s long-term sustainability is establishing an effective production planning policy. Currently, CV Lembah Melintang relies on consumer demand to determine its production process, which often leads to suboptimal resource utilization. This research aims to develop an optimal production plan using a Multi-Goal Programming (MGP) model to maximize resource use and increase company income. The MGP model, an extension of the goal programming method, allows for multiple objectives by incorporating deviation variables to handle conflicts between goals. In this study, the objectives are: maximizing total production, minimizing production costs, and maximizing profit, subject to relevant resource constraints. Data analysis and computation were carried out using POM-QM v5 software. The results indicate that the production plan successfully met the company’s targets: sales volume was achieved, production costs remained below the target limit of IDR 922,105,662.4, and profit reached the target of IDR 564,080,764 for the 2023 period. The study concludes that the MGP model is an effective decision-support tool for improving production planning policies and aligning multiple strategic goals in manufacturing environments.
Co-Authors Dedy Juliandri Panjaitan Hendra Cipta Linna Syahputri Nisa Khairani