Rawiyah
Universitas Negeri Medan

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Model Matematika Penyebaran ISPA (Infeksi Saluran Pernapasan Akut) dan Pneumonia Berbasis Integral Tak Wajar: Analisis Laju Infeksi dan Prospek Vaksinasi Riza Prastya; Aldha Aulia Imtiyaz Hasibuan; Goffri Simarsoit; Nurul Fitriyah Siagian; Rawiyah; Ruth Prima Stefani Br. Nababan; Suvriadi Panggabean
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 02 (2025)
Publisher : Universitas Negeri Surabaya

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Abstract

Penelitian ini bertujuan untuk mengembangkan model matematika berbasis integral tak wajar guna menganalisis dinamika penyebaran Infeksi Saluran Pernapasan Akut (ISPA) dan pneumonia di Kota Medan. Model SEIR (Susceptible-Exposed-Infected-Recovered) yang dimodifikasi digunakan untuk memetakan laju infeksi, efektivitas vaksinasi, dan dampak faktor lingkungan terhadap kedua penyakit tersebut. Simulasi numerik dilakukan menggunakan metode Runge-Kutta Fehlberg (RKF45) dengan parameter yang diambil dari data sekunder dan literatur terkait. Hasil simulasi menunjukkan bahwa bilangan reproduksi dasar () untuk ISPA adalah 3.808, sementara untuk pneumonia adalah 2.26, yang menunjukkan potensi penyebaran endemik di Kota Medan jika tidak ada intervensi. Total infeksi kumulatif selama periode simulasi mencapai 2.306.336 kasus untuk ISPA dan 3.286 kasus untuk pneumonia, menunjukkan beban epidemi yang signifikan. Efektivitas vaksinasi terbukti sangat penting dalam mengurangi laju infeksi pneumonia, dengan pengurangan signifikan pada tingkat transmisi setelah pemberian vaksin. Penelitian ini merekomendasikan implementasi kebijakan kesehatan seperti kampanye vaksinasi massal, edukasi masyarakat tentang pencegahan penyakit, dan peningkatan sanitasi sebagai langkah strategis untuk mengendalikan penyebaran ISPA dan pneumonia. Pendekatan integral tak wajar memberikan wawasan mendalam tentang distribusi temporal kasus dan dampak intervensi jangka panjang.
Struktur Graf Berarah pada Sistem Kekerabatan Batak Toba (Dalihan Na Tolu) Mey Gracia Sitanggang; Rawiyah; Goffri Simarsoit; Ian Pedrosa manatap Lumban Gaol; Hery Judika Lumban Tobing; Tomi Arianto
JUMAT: Jurnal Matematika Vol. 3 No. 2 (2025): JUMAT, Desember 2025
Publisher : Institut Agama Islam Negeri Fattahul Muluk Papua

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This study aims to examine the structure of the Batak Toba kinship system (Dalihan Na Tolu) using a directed graph theory approach. The Dalihan Na Tolu system is a social philosophy of the Batak Toba community consisting of three main elements, namely hula-hula, boru, and dongan sabutuha, which are interconnected within customary and marital structures. This research employed a qualitative descriptive method with a mathematical modeling approach. Data were collected through interviews, observations, and the study of tarombo documents of Raja Nai Pospos’ descendants, particularly the lineage of Toga Marbun and Lumban Gaol. The data were then represented in the form of tree graphs and directed graphs. The results showed that the Batak Toba kinship system is patrilineal, allowing it to be modeled as a tree graph without cycles in the lineage structure. Meanwhile, customary and marital relations among clans form asymmetric directed graphs because the relationships between vertices have different directions and social meanings. In addition, cycles among clans were identified, representing the concept of mambolahi in Batak Toba customs. The analysis of adjacency matrices, in-degree, and out-degree indicated that several clans have higher levels of social connectivity than others. Therefore, directed graph theory is capable of representing the social structure of Dalihan Na Tolu systematically, visually, and mathematically, while also contributing to the development of social mathematics and ethnomathematics studies based on local culture.
Optimasi Keputusan Produksi untuk Meningkatkan Keuntungan Usaha Minuman Kafe melalui Pendekatan Program Linier Nerli Khairani; Rawiyah; Mey Gracia Sitanggang; Ian Pedrosa manatap Lumban Gaol
JUMAT: Jurnal Matematika Vol. 3 No. 2 (2025): JUMAT, Desember 2025
Publisher : Institut Agama Islam Negeri Fattahul Muluk Papua

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Abstract

The coffee shop business is one of the Micro, Small, and Medium Enterprises (MSMEs) sectors that is experiencing rapid growth, but often faces obstacles in optimizing profits due to limited production resources. This study aims to determine the optimal production combination that can maximize the profits of a cafe beverage business through a linear programming approach. This research is a quantitative study with a descriptive-optimization approach conducted at one of the cafe beverage businesses in the period April–May 2026. The research subjects consisted of two decision variables, namely coffee drinks (X₁) and non-coffee drinks (X₂), with five production resource constraints. Data were collected through observation, interviews, and documentation using observation sheets, interview guidelines, and production and sales data. Data analysis was carried out using graphical methods in linear programming to determine the feasible region and optimal solution, and validated using POM-QM software for Windows. The results showed that the optimal solution was obtained at point (40,20), namely 40 units of coffee drinks and 20 units of non-coffee drinks, with a maximum profit of IDR 280,000. In conclusion, the combined production of both products is more optimal than a single product because it maximizes the use of limited resources. The linear programming approach has proven effective as a basis for more rational, efficient, and data-driven production decisions.