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All Journal Journal of Mathematics and Scientific Computing With Applications Abdimas Indonesian Journal Jurnal Riset Mahasiswa Matematika
Sakinah, Gita
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Religion Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Mathematics Social Sciences

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APPLICATION OF ANALYTICAL HIERARCHY PROCESS (AHP) IN SELECTING OPTIMAL THERAPY FOR OVARIAN CYST DISEASE Sakinah, Gita
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 1 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.966

Abstract

Ovarian cysts are one of the common health disorders in women that require proper diagnosis and treatment. Unfortunately, ovarian cyst patients face challenges in determining the optimal therapy for treating ovarian cysts. So, the aim of this research is to develop a decision model using the Analytic Hierarchy Process (AHP) to select the optimal therapy for ovarian cyst treatment. By analyzing 4 criteria, this model identifies the most optimal factors influencing therapy selection, including hormonal treatment, laparoscopic surgery, laparotomy surgery, and alternative medicine. The findings indicate that alternative therapy has the highest priority in terms of recovery time, while hormone therapy excels in cost criteria. The consistency ratio (CR) in the analysis is below the established threshold (? 0.1), indicating the reliability of the calculation results. The AHP method has proven effective as a decision-making tool in the selection of ovarian cyst therapy. This research provides insights for healthcare practitioners in selecting the appropriate treatment method and suggests further studies to explore additional factors influencing medical decisions.
Analisis Jenis-Jenis Kanker Terbesar di Indonesia Dengan Model SIR Sakinah, Gita; Afriani, Widya; Widya, Syipa Arista; Faturrahman, Fajar Arista
Jurnal Riset Mahasiswa Matematika Vol 4, No 4 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i4.30918

Abstract

Penelitian ini menganalisis dinamika penyebaran dan pemulihan tiga jenis kanker terbesar di Indonesia—kanker payudara, paru-paru, dan serviks—menggunakan Model SIR (Susceptible-Infected-Recovered). Model ini memetakan populasi menjadi tiga kompartemen: rentan (S), terinfeksi (I), dan pulih (R), dengan parameter utama laju infeksi (β) dan laju pemulihan (γ). Hasil simulasi menunjukkan bahwa kanker payudara memiliki laju infeksi rendah, dengan penurunan kasus aktif dan peningkatan pemulihan secara bertahap. Sebaliknya, kanker paru-paru menunjukkan laju infeksi yang lebih tinggi dan durasi infeksi lebih lama, namun pemulihan tetap meningkat secara progresif. Kanker serviks, dengan laju infeksi rendah dan periode infeksi singkat, menunjukkan pengurangan infeksi dan peningkatan pemulihan yang stabil. Temuan ini menegaskan pentingnya deteksi dini dan intervensi cepat dalam pengendalian kanker. Model SIR menawarkan kerangka kerja strategis untuk perencanaan layanan kesehatan, alokasi sumber daya berbasis data, dan pengembangan kebijakan kesehatan di Indonesia, sekaligus memberikan wawasan untuk mengoptimalkan pengendalian penyakit dan memperkirakan kebutuhan sumber daya kesehatan di masa depan. 
Strategy for Strengthening the Beringin Village Community Through the Implementation of the Multidimensional KKN Program Sakinah, Gita; Hafizh, Muhammad Abdul; Hutauruk, Sayyidah Marwa; Afriani, Widya; Widya, Syipa Arista; Sriani, Sriani
Abdimas Indonesian Journal Vol. 5 No. 2 (2025)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v5i2.978

Abstract

he Community Service Program (KKN) is increasingly positioned as a strategic service-learning model for community empowerment and the achievement of the Sustainable Development Goals (SDGs) at the village level. Through a collaborative and sustainable approach, service-learning integrates education, community service, and measurable impacts across social, economic, environmental, and civic dimensions. This study describes the multidimensional implementation of KKN in Beringin Village, which included social education, economic empowerment (dishwashing soap training and the introduction of branding and marketing for MSMEs), environmental programs, strengthening religious moderation and youth engagement, as well as support for digital village data governance and activity documentation. A descriptive-participatory method was applied through observation, focus group discussions, demonstrations, and field documentation. Initial findings indicate improvements in literacy regarding bullying prevention in partner schools, enhanced basic entrepreneurial skills among household and MSME actors, and the adoption of environmentally friendly practices through biopore infiltration holes for organic waste management and water conservation. These findings are consistent with studies published in SINTA journals, which highlight the effectiveness of branding training and biopore adoption. From a governance perspective, the thematic KKN model serves as a platform for student–citizen collaboration and strengthening village networks. This article formulates a replication strategy involving village asset mapping, designing an integrated service-learning curriculum, applying simple and realistic impact measurements, and planning sustainability beyond the KKN period.
APPLICATION OF ANALYTICAL HIERARCHY PROCESS (AHP) IN SELECTING OPTIMAL THERAPY FOR OVARIAN CYST DISEASE Sakinah, Gita
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 1 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.966

Abstract

Ovarian cysts are one of the common health disorders in women that require proper diagnosis and treatment. Unfortunately, ovarian cyst patients face challenges in determining the optimal therapy for treating ovarian cysts. So, the aim of this research is to develop a decision model using the Analytic Hierarchy Process (AHP) to select the optimal therapy for ovarian cyst treatment. By analyzing 4 criteria, this model identifies the most optimal factors influencing therapy selection, including hormonal treatment, laparoscopic surgery, laparotomy surgery, and alternative medicine. The findings indicate that alternative therapy has the highest priority in terms of recovery time, while hormone therapy excels in cost criteria. The consistency ratio (CR) in the analysis is below the established threshold (? 0.1), indicating the reliability of the calculation results. The AHP method has proven effective as a decision-making tool in the selection of ovarian cyst therapy. This research provides insights for healthcare practitioners in selecting the appropriate treatment method and suggests further studies to explore additional factors influencing medical decisions.
Co-Authors Afriani, Widya Faturrahman, Fajar Arista Hafizh, Muhammad Abdul Hutauruk, Sayyidah Marwa Widya, Syipa Arista