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All Journal KOLEGIAL : Jurnal Manajemen, Bisnis, dan Akuntansi Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Feby Ariska
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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ANALISIS PENENTUAN HARGA POKOK PRODUKSI KOPI PADA UMKM THE COFFEE LEGEND DI DESA SIPATUHU KECAMATAN BANDING AGUNG KABUPATEN OKU SELATAN Anis Feblin; Feby Ariska
KOLEGIAL Vol 7 No 1 (2019): Januari-Juni
Publisher : STIE DWI SAKTI BATURAJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (187.676 KB) | DOI: 10.55744/kolegial.v7i1.88

Abstract

The purpose of this study was to determine the determination of the cost of coffee production at UMKM The Coffee Legend in Sipatuhu Village, Banding Agung Sub-District, South OKU Regency. The method used is descriptive quantitative by using the full costing method. The results of the analysis concluded that from the calculation of the cost of production using the full costing method can be known from 2017-2018 fluctuations occur, where the lowest cost of production occurs in July 2017 amounting to Rp2,396,100 and the highest cost of production occurred in October 2018 Rp27,096,400. The rise and fall of cost of production is caused by the most contributing, namely raw material costs because the price of raw materials is determined by the high and low exchange rate of the rupiah and the price of coffee purchased from coffee farmers.
Sistem Informasi Status Gizi Balita pada Posyandu Kelurahan Amplas Menggunakan Metode K-Nearest Neighbor Feby Ariska; Triase Triase; Adnan Buyung Nasution
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol. 5 No. 2 (2026): Mei : Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v5i2.7087

Abstract

Posyandu (Integrated Health Post) is a public health facility that plays a crucial role in monitoring the development of toddlers. The process of recording nutritional status at te Amplas Village Posyandu is still handwritten in notebooks, requiring a long time to collect and analyze data from all toddlers, and parents often lose or forget their Posyandu cards. This study aims to develop an information system that can assist Posyandu cadres in automatically classifying toddler nutritional status. The K-Nearest Neighbor (KNN) method was used, with variables such as age, weight, height, mid-upper arm circumference, and gender. The training data used in this study used WHO standards as a reference for nutritional status. The system was tested using the K-value to achieve the best accuracy. The test results showed that the KNN method was able to classify toddler nutritional status with excellent accuracy. The developed information system also provides data recording features and toddler development graphs. This system makes monitoring toddler nutritional status faster, more accurate, and easier for Posyandu (Integrated Health Post) cadres.
Co-Authors Adnan Buyung Nasution Anis Feblin Triase Triase