Decision Support System Pemilihan Target Layanan Kesehatan Program Corporate Social Responsibility Klinik Utama Sari Medika

Q: What does this research mean for the field?

The profile matching method achieves 84% accuracy and is effective for ranking and prioritizing sub-districts for targeted Corporate Social Responsibility health service programs based on demographic and health variables. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Dian Prawitasari; Aries Setiawan; Ichwan Setiarso; M. Sjamsul Hidajat; Lely Kusumaningrum; Jaka Prasetya; Arditya Dian Andika; Dedi Joko Purnomo

doi:10.26623/transformatika.v24i1.15535

August 23, 2026Jurnal TransformatikaOpen Access

Decision Support System Pemilihan Target Layanan Kesehatan Program Corporate Social Responsibility Klinik Utama Sari Medika

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Key Points

To develop and evaluate a decision support system using profile matching to rank and prioritize districts for corporate social responsibility free healthcare initiatives.
Applied a profile matching algorithm to rank target districts based on predefined criteria.
Evaluated target selection across six criteria: total population, low-income population, auxiliary health center availability, geographic accessibility, malnutrition rates, and stunting rates.
Achieved an overall ranking accuracy rate of 84% for determining target healthcare locations.

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Implication

Computational study demonstrates 84% accuracy in prioritizing healthcare target districts using profile matching, suggesting its utility for corporate social responsibility programs.

Abstract

Kegiatan Corporate Sosial Responsibility (CSR) berupa layanan kesehatan gratis oleh Klinik Utama Sari Medika dilakukan setiap periode tertentu dengan membatasi wilayah kecamatan. Untuk mendapatkan prioritas kecamatan-kecamatan yang sesuai kondisi yang ada maka diperlukan upaya perangkingan. Salah satu metode yang dapat digunakan adalah profile matching dengan penentuan variabel yang tepat meliputi jumlah penduduk, jumlah penduduk miskin, jumlah puskesmas pembantu, aksesibilitas, angka gizi buruk dan angka stunting. Hasil akurasi yang dihasilkan adalah sebesar 84% sehingga metode ini sesuai untuk proses perangkingan pada permasalahan yang ada.

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Prawitasari et al. (2026) studied this question.

synapsesocial.com/papers/6a8e9af2451774b83f3b3678 https://doi.org/10.26623/transformatika.v24i1.15535

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Decision Support System Pemilihan Target Layanan Kesehatan Program Corporate Social Responsibility Klinik Utama Sari Medika

Key Points

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Implication

Abstract

Discussion

Cite This Study

Decision Support System Pemilihan Target Layanan Kesehatan Program Corporate Social Responsibility Klinik Utama Sari Medika

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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