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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains JIPOWER : Journal of Intellectual Power
Novia Dwi Anggraeni
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Penerapan Data Mining Untuk Klasifikasi Persediaan Barang Menggunakan Metode K-Nearest Neighbor & C4.5 Dan Prediksi Persediaan Barang Menggunakan Metode Safety Stock & ROP (Studi Kasus : PT. Macro Jaya Agung) Novia Dwi Anggraeni; Alvino Octaviano
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 07 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Current customer interest prediction is a very influential factor in the development of a business. Companies that are less effective in determining the quantity of merchandise inventory result in companies often making excessive purchases of goods. Excessive purchases of goods result in accumulation of goods so that financial flows do not run well and smoothly. Based on these problems, a data mining algorithm and calculation method are needed to predict future inventory and can help PT Macro Jaya Agung predict customer interest so that inventory remains stable. The classification algorithm used in data mining is K-Nearest Neighbor & C4.5, while the method used for calculations is safety stock & ROP (Reorder point). In the K-Nearest Neighbor & C4.5 algorithm using the RapidMiner application, the accuracy results for K-Nearest Neighbor are 88.89% using the confusion matrix and 86.00% using cross validation, while C4.5 has an accuracy rate of 66.67% using the confusion matrix and 71.81% using cross validation. The safety stock & ROP (Reorder point) method is used to determine the return order point for medical devices in order to determine the amount of stock of goods so that there is no buildup of goods and complaints from customers, so that the company's flow runs well and smoothly. The results of the 2.2L iron tube (0.25 M3) study were obtained for 131,889 pcs of safety stock and 186 pcs of ROP.
Strengthening the governance of free nutritious meals based on schools in Indonesia K.P. Suharyono S.Hadiningrat; Teguh Yuwono; Novia Dwi Anggraeni
JIPOWER : Journal of Intellectual Power Vol. 2 No. 03 (2025): December 2025 - Maret 2026
Publisher : Yayasan Inspirasi Merah Putih Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63786/jipower.v1i03.59

Abstract

Efforts to improve the nation's intelligence and advance public welfare must be a commitment of the Indonesian people, and this must be realized through pro-people and sustainable government policies. Many challenges are faced, including preparing a healthy, intelligent generation with Pancasila character, to become a superior generation, especially in welcoming the Golden Indonesia Era in 2045. One such effort is the implementation of the Free Nutritious Meal Program (MBG), which is implemented by strengthening school-based governance. The hope is that this will accelerate services and equitable distribution of nutritional needs for communities throughout Indonesia. The challenge is not easy, requiring commitment from the central and regional governments to focus on and ensure the success of the MBG program. This research design is a qualitative descriptive study with a thematic narrative approach to identify and describe efforts to strengthen school-based MBG governance in Indonesia, where currently there is a gap in the role of schools limited to channeling MBG to SPPG and student beneficiaries. Through in-depth interviews with one of the BGN partner foundations, the SPPG, and schools in Tangerang City, qualitative data was obtained, which was then analyzed using a thematic narrative approach. The results showed that: a) the role of schools in the governance of the Free Nutritious Meal Program is currently limited to distributing MBG from SPPG to beneficiary students at their schools. Efforts to strengthen the governance of school-based Free Nutritious Meal Program must begin with a government commitment between BGN and the Ministry of Education, Culture, and Culture to collaborate with schools as SPPGs that serve MBG for their students, supported by the Ministry of Health.
Co-Authors Alvino Octaviano K.P. Suharyono S.Hadiningrat Teguh Yuwono