Sitio, Arjon
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SISTEM PENDUKUNG KEPUTUSAN PENGALOKASIAN ANGGARAN DANA DESA DENGAN METODE AHP (ANALYTIC HIERARCHY PROCESS) PADA DESA SIALANG Nasution, Ilham Pramuja; Sitio, Arjon
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 1 No. 1 (2018): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Sisfokomtek

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Abstract

Pengalokasian Anggaran Dana Desa sangatlah penting dan berpengaruh besar terhadap perkembangan Desakarena Kantor Desa membagikan hasil bagi pajak untuk pembangunan Desa. Akan tetapi, pengalokasiantersebut terkadang masih kurang tepat dan akurat. Oleh karena itu dirancanglah Sistem Pendukung KeputusanPengalokasian Anggaran Dana Desa Dengan Metode Analitycal Hierarchy Proscess(AHP). Penelitian inidilakukan agar memudahkan kantor desa dalam pengalokasian anggaran dana desa. Metode AnalitycalHierarchy Proscess(AHP) merupakan salah satu metode yang dikenal sebagai tingkat rengking terpenting.Metode AHP mecari alternatif terbaik. Maka didapatkan hasil dari sistem pendukung keputusan ini dalammenentukan pengalokasian anggaran dana desa berdasarkan hasil perhitungan dengan nilai perengkingantertinggi menggunakan metode AHP adalah alternatif dusun IV nilai = 0,61 layak.
MULTIVARIATE ANALYSIS OF COMMODITY AVAILABILITY OF STAPLE FOODS USING COMPLETE LINKAGE HIERARCHICAL CLUSTERING METHOD Sitio, Arjon; Sinaga, Anita Sindar; Haikal, Akhyar; Dewi, Sumitra
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 7 No 2 (2022): JITK Issue February 2022
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1008.315 KB) | DOI: 10.33480/jitk.v7i2.2830

Abstract

The government directly supervises 11 basic food commodities. The system of interplay between the price of goods and the availability of staple food directly has an impact on the high price of food at certain times. It is necessary to classify the food that is most needed by the community on big holidays in Indonesia so that it can be a reference for the government in preparing market needs in the coming year. In this study, the grouping of staple food availability was based on hierarchical cluster analysis with complete linkage method. The availability of food commodities in the discussion of this research is sourced from production materials and daily prices for meat, eggs, cooking oil and rice commodities. Cluster interpretation results in cluster 1 indicating Fulfilled Availability of 88-89%, Cluster 2 showing Sufficient Commodity Availability of 90-93% and Cluster 3 showing Availability of Rare Commodities of 87%. The three clusters formed are depicted in the form of a dendogram as a visualization of the relationship between food availability groupings.