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Enhancing Oil Field Investment Decisions Using Spiral Dynamics Optimization Humairah, Reni; Afrizal, Aidil Adrianda; Kartika, Hanum
Mathematical Journal of Modelling and Forecasting Vol. 3 No. 1 (2025): June 2025
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v3i1.38

Abstract

Investment is an activity in the present to obtain profits in the future. One method of investment assessment is calculating Net Present Value (NPV) using Discounted Cash Flow (DCF). To determine the right time to carry out an investment in order to obtain maximum profits, it is necessary to determine a time limit for when the investment should be carried out or not. Then, the threshold curve (optimal implementation time limit) for the investment will first be determined. After obtaining the threshold curve for each investment option, the NPV value for each investment option will then be determined. The best investment choice is the one that provides the highest NPV value. The metaheuristic method is an effective optimization method for determining the optimal investment implementation time limit (threshold curve). One metaheuristic method for determining threshold curves is the Spiral Dynamics Optimization algorithm developed by Kenichi Tamura and Keiichiro Yasuda, a search algorithm inspired by phenomena in nature such as water speed, air pressure speed, Nautilus Shells, and spiral galaxy shapes. The results of this research are areas that are above the threshold curve, which can implement the project, while areas that are below the curve are not recommended for implementing the project.
PENINGKATAN KAPASISTAS GURU DALAM MENGIMPLEMENTASIKAN SOAL SKOLASTIK UTBK KEDALAM SOAL MATA PELAJARAN DI SMA NEGERI 1 BELINYU Prayanti, Baiq Desy Aniska; Kustiawan, Elyas; Sulistiana, Ineu; Dalimunthe, Desy Yuliana; Fahria, Izma; Amelia, Ririn; Humairah, Reni; Afrizal, Aidil Adrianda
Jurnal Abdi Insani Vol 11 No 4 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i4.2125

Abstract

Since 2019, the Computer-Based Written Test (UTBK) has been used as a system for university entrance exams. The TPS (scholastic potential test) and Literacy Test are two slightly different test forms that have been utilized in UTBK from 2023. The sole public senior high school in the Belinyu subdistrict is SMA Negeri 1 Belinyu. Less than 30% of pupils get admitted to state colleges, according to data from 2023. Therefore, the purpose of this service is to tell the teachers of SMA Negeri 1 Belinyu about UTBK and to train them in creating subject questions for the Scholastic test at UTBK. The method of activity carried out in the form of a preparatory stage in the form of observation, theme determination, and partner preparation followed by the implementation stage in the form of preparation of UTBK material and scholastic tests, exposure and evaluation. According to the service's results, 95% of participants believe that their comprehension of UTBK scholastic questions is improving, and they are hopeful that students will find it simpler to handle UTBK questions if scholastic questions are applied to the subject matter. The purpose of this service project is to help the teachers at SMA Negeri 1 Belinyu better comprehend the UTBK academic questions that incoming college students would encounter.
Optimalisasi Keuntungan Produksi Sayuran Di Desa Balunijuk Kabupaten Bangka Menggunakan Linear Programming Humairah, Reni; Afrizal, Aidil Adrianda; Dwiyanti, Fahira
Journal of Integrated Agribusiness Vol 7 No 2 (2025): Journal of Integrated Agribusiness
Publisher : Jurusan Agribisnis, Fakultas Pertanian, Perikanan dan Kelautan Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jia.v7i2.7066

Abstract

Vegetable farming holds considerable potential, offering high economic returns for farmers and remaining a feasible agricultural pursuit. This study was designed to analyze profit optimization in vegetable farming through systematic production analysis. The research subjects were vegetable farmers in Balunijuk Village, Bangka Regency. Specifically, the objectives are to determine the optimal vegetable production combination, calculate the maximum achievable profit (Z) under resource constraints, and evaluate resource slack to compare optimal and actual production conditions. Profit optimization was examined using the simplex method of linear programming, enabling the identification of optimal resource allocation and the maximization of farmers’ income. Primary data were collected from farmers in Balunijuk Village through structured interviews, covering one planting season. The dataset represents cross-sectional observations of land use, capital, labor, and production outputs. The findings indicate that Balunijuk Village, despite being a center of vegetable farming, has not yet achieved optimal production. Under optimal conditions, resource utilization changes significantly: labor and capital become binding constraints, while land exhibits surplus capacity. The optimization process reallocates land use by reducing water spinach cultivation and expanding mustard greens, thereby increasing profit by 42.97%.