Virginia Sarah Kaparang
Universitas Negeri Manado

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PEMAKSIMALAN PROFIT PERTANIAN MELALUI PROGRAM LINEAR : STUDI KASUS PADA PERTANIAN PADI DAN JAGUNG DI KELURAHAN TARA-TARA, KOTA TOMOHON Christari Lois Palit; Alycia Nikita Poluan; Breisi Maria Luntungan; Meyni Novela Runtu; Miranda Yuliana Sondakh; Tesalonika Junira Mogi; Virginia Sarah Kaparang
SOSCIED Vol 8 No 2 (2025): SOSCIED - November 2025
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v8i2.1078

Abstract

Farmers in Tara-Tara Village, Tomohon City, still face difficulties in increasing their income due to limited production inputs, such as land, fertilizer, pesticides, and seeds. Decision-making based solely on experience often leads to inappropriate resource utilization. This study aims to determine the most profitable combination of rice and corn planting areas while still taking into account the limitations of available inputs. A quantitative approach based on Linear Programming was used in the analysis, with data collected through interviews and field observations. Calculations were performed using the Simplex method using QM for Windows software. The results showed that the optimal allocation was obtained at a planting area of ??0.97 units for rice and 1.53 units for corn, resulting in an estimated profit of Rp 12,615,150 per planting season. From the analysis of slack variables, it was found that fertilizer and seeds were the most limiting constraints on increasing production, while land still has room for utilization. Based on these findings, this study recommends that farmers continue to focus their efforts on rice and corn commodities and increase the availability of fertilizer to fully optimize the land
Simulasi Numerik Pengendalian Endemik Demam Berdarah Dengue di Kabupaten Minahasa menggunakan Pendekatan Model SIR-A Christari Lois Palit; Virginia Sarah Kaparang; Samuel Jason Bisuan; Suci Cahnia Laode; Gerald Sunantepar Pakala; Harly Marsel Karamoy
Griya Journal of Mathematics Education and Application Vol. 6 No. 2 (2026): Juni 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i2.1201

Abstract

Dengue Hemorrhagic Fever (DHF) persists as a critical threat to public health sectors within tropical ecosystems, including Indonesia. This study evaluates the epidemiological fluctuations of Dengue virus transmission in Minahasa Regency by formulating a SIR-A compartmental mathematical model, focusing on the contribution of strengthened clinical interventions to patient recovery rates. The developed dynamic framework incorporates interactions between human cohorts (susceptible, infected, and recovered phases) and an aquatic pre-adult vector group (mosquito larvae/pupae). The investigative procedure involves constructing a system of nonlinear ordinary differential equations, followed by establishing equilibrium states, calculating the basic reproduction number () threshold, and executing computational simulations via Wolfram Mathematica. Computational outputs demonstrate that an escalation in mosquito larvae density correlates positively with accelerated disease transmission rates. Conversely, optimizing clinical control by increasing the recovery parameter significantly reduces the active infected cohort and drives the system’s trajectory toward a stable disease-free equilibrium state. These insights indicate that accelerating patient care effectiveness and upgrading healthcare infrastructure are crucial policy instruments for suppressing DHF endemic risks in Minahasa Regency.