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All Journal Jurnal Simetris ILKOM Jurnal Ilmiah SISFO INTI Nusa Mandiri Bulletin of Information Technology (BIT)
Yessy Yanitasari
Bogor Agricultural University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Penentuan Prioritas Bantuan Sosial Dengan Metode Combined Compromise Solution (CoCoSo) Darmansyah, Darmansyah; Yanitasari, Yessy; Yudiana, Yudiana; Nugraha, Agus; Suryana, Nana
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i4.2447

Abstract

Penyaluran bantuan sosial yang tepat sasaran merupakan kunci dalam mendukung kesejahteraan masyarakat, terutama di tengah keterbatasan sumber daya. Penelitian ini bertujuan untuk menentukan prioritas penerima bantuan sosial dengan menggunakan metode Combined Compromise Solution (CoCoSo), sebuah metode pengambilan keputusan multi-kriteria yang mampu menghasilkan solusi kompromi optimal dengan mempertimbangkan berbagai kriteria secara seimbang. Metode CoCoSo digunakan untuk mengevaluasi dan mengkombinasikan nilai dari setiap alternatif penerima bantuan berdasarkan kriteria yang telah ditentukan, sehingga menghasilkan peringkat prioritas yang objektif dan efisien. Penerapan metode ini diharapkan dapat membantu dalam proses seleksi penerima bantuan sosial yang lebih transparan dan tepat sasaran, terutama dalam kondisi di mana terdapat konflik atau perbedaan kepentingan antar kriteria. Hasil penelitian menunjukkan bahwa metode CoCoSo efektif dalam memberikan rekomendasi prioritas penerima bantuan sosial dengan solusi yang seimbang dan dapat diandalkan.
PERENCANAAN ANGGARAN PINJAMAN DENGAN PREDIKSI REGRESI LINIER SEDERHANA DAN OPTIMASI MENGGUNAKAN METODE FUZZY TSUKAMOTO Mustofa, Undang; Yanitasari, Yessy; Dedih, Dedih
ILKOM Jurnal Ilmiah Vol 11, No 3 (2019)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i3.470.206-213

Abstract

The business world often faces changing conditions in its business activities. The right work plan is needed so that the business world can develop, one of which is budget planning. In planning the loan budget in the Cooperative refers to the limit on the number of submissions, there is no nominal loan budget plan so that the cooperative's cash condition is unstable and can affect the development of the cooperative. Then we need a system that can predict the loan budget needed. The method used in this reserch is simple Linear Regression to predict budgets and Tsukamoto Fuzzy Methods for budget optimization. Predicted the loan budget for April 2019 with a total capital of Rp. 500,000,000 using simple linear regression predictions of Rp. 441,690,000, after optimization using the Tsukamoto Fuzzy Method is Rp. 396,960,000 more savings Rp. 44,730,000 or 10.12%.
Implementation of knowledge management system in cattle farming Kusnadi, Edi; Yanitasari, Yessy; Supriyadi, Supriyadi
ILKOM Jurnal Ilmiah Vol 13, No 1 (2021)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i1.785.36-44

Abstract

Cattle are the livestock of the Bovinae family and subfamily Bovidae. They have been raised for beef and dairy products. Nowadays, beef production does not meet national needs. This is influenced by several factors. One of them is the farming pattern. However, knowledge about cattle farming is still scattered and unstructured. Knowledge Management System (KMS) offers a knowledge system that can be used to create, collect, store, maintain and disseminate knowledge. In this study, KMS for cattle farming has been implemented using the Knowledge Management System Life Cycle (KMSLC) method. The research results are web-based applications regarding cattle farming management that have been tested by experts and users, with the average test results declared good. The features possessed by this KMS application are knowledge capture, knowledge sharing, and knowledge application systems so that they can share knowledge between one user and another. In addition, this application is equipped with a discussion forum that can serve as a place to interact with fellow users or with experts.
Co-Authors A.A. Ketut Agung Cahyawan W Agus Nugraha Andriyana, Andriyana Asep Supriatna, Asep Azhar, Wafiqah Yasmin DARMANSYAH . Dede Hendrik Dedih, Dedih Dedih, Dedih Dhieka Avrilia Lantana Edi Kusnadi, Edi Gowi, Abdul Indriani, Risma Isnandar, Evi Karima, Inna Sabily Mustofa, Undang Nana Suryana Suhada, Karya Supriyadi Supriyadi Susanto, Erliyan Redy Tumingan Tumingan, Tumingan Wilujeung, Keken Yudiana, Yudiana