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All Journal Jurnal Rister Indonesian Journal of Pharmacology and Therapy
Henra, Henra
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Computer Science & IT Control & Systems Engineering Immunology & microbiology Library & Information Science Medicine & Pharmacology

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Sistem Penunjang Keputusan Seleksi Penerima Bantuan Langsung Tunai Menggunakan Metode Weighted Product Patappari, Andi; Irma, Irma; Henra, Henra
Jurnal RISTER : Riset Sistem Cerdas Vol 1 No 1 (2024): Jurnal RISTER : Riset Sistem Cerdas
Publisher : Universitas Lamappapoleonro

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Abstract

Penelitian ini membahas tentang sistem penunjang keputusan seleksi penerima bantuan langsung tunai menggunakan metode Weighted Product. Penelitian ini bertujuan untuk mengimplementasikan sistem penunjang keputusan seleksi penerima bantuan langsung tunai menggunakan metode Weighted Product diDesa Paroto. . Sistem penunjang keputusan ini dibangun menggunakan metode yang mengadaptasi metode System Development Life Cycle (SDLC) mulai dari tahapan perencanaan, analisa, perancangan dan implementasi dengan cara memahami dan menyeleksi keadaan dan proses yang dilakukan pengguna untuk dapat mendukung kebutuhan pengguna, setelah melakukan tahapan perencanaan dan analisa, berikutnya sistem dibangun menggunakan bahasa pemrograman PHP dan database MySQL. Metode pengambilan keputusan yang digunakan adalah metode weight product dengan memberikan score atau pembobotan kelayakan calon penerima bantuan berdasarkan kriteria-kriteria yang ditentukan oleh para pembuat keputusan. Adapun metode pengujian sistem menggunakan Blackbox Testing. Berdasarkan hasil penelitian sistem penunjang keputusan seleksi penerima bantuan langsung tunai menggunakan metode Weighted Product di Desa Paroto dapat diimplementasikan dan dapat menentukan penerima bantuan langsung tunai dengan optimal dari sejumlah calon dengan kriteria tertentu
Network pharmacology approach to identifying optimal therapeutic targets in cancer drug discovery and development: Bibliometric analysis and scoping review Rovik, Anwar; Henra, Henra; Rahman, Farras Alifia; Afkarina, Izza; Conara, Flafiani Cios
Indonesian Journal of Pharmacology and Therapy Vol 7 No 1 (2026)
Publisher : Faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada and Indonesian Pharmacologist Association or Ikatan Farmakologi Indonesia (IKAFARI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijpther.13076

Abstract

A rise in chronic diseases, including cancer, increasingly strains public health. While conventional drug discovery often focuses on single molecules, this method frequently fails to address complex diseases with multiple causes. Network pharmacology, a systems biology approach, provides a more complete understanding of disease mechanisms by analyzing intricate biological networks. By combining multi-omics data and computational models, network pharmacology helps identify new drug targets and cellular pathways. This approach is especially promising in cancer research, where it can reveal complex interactions between genes, proteins, and metabolites. This review explains the principles of network pharmacology and its use in cancer drug discovery. We cover the process, from network building and analysis to experimental testing. Additionally, we examine how network pharmacology can speed up the development of personalized cancer treatments.
Co-Authors Afkarina, Izza Conara, Flafiani Cios Irma Irma Patappari, Andi Rahman, Farras Alifia Rovik, Anwar