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IMPLEMENTASI METODE ANALYTIC HIERARCHY PROCESS UNTUK PEMILIHAN SAHAM TERBAIK BERBASIS WEBSITE Damanik, Rudolfo Rizki; Khanady, Leonardy
Journal Information System Development (ISD) Vol 6, No 2 (2021): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

Jumlah  investor  saham  semakin meningkat  dari  dulu  hingga  saat  ini. Begitu juga dengan jumlah perusahaan yang tercatat di Bursa Efek Indonesia (BEI). Yang  dimana  membuat  investor  bingung  untuk  memilih  saham  yang  terbaik  dari ratusan saham yang diperdagangkan di BEI. Metode    yang    digunakan    untuk    pemilihan    saham    terbaik    yaitu menggunakan   metode Analytic   Hierarchy   Process (AHP).   Investor   akan memasukkan penilaian terhadap perbandingan antar kriteria dan antar alternatif tiap kriteria. Kriteria–kriteria yang digunakan untuk pemilihan saham adalah Price to Earnings Ratio(PER), Price to Book Value (PBV), Debt to Equity Ratio (DER), Return on Equity (ROE), Return on Assets (ROA). Pada penelitian ini, peneliti merancang suatu sistem pendukung keputusan berbasis  web  yang  dimana  membantu  investor  dalam  menentukan  saham  terbaik yang sesuai dengan penilaianya sendiri dengan pendekatan metode AHP
Prediksi Pembelian Barang Pada Distributor Lampu Menggunakan Metode Apriori pada PT. XYZ Damanik, Rudolfo Rizki; Poernomo, Moyo Hady
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 1 (2023): February 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i1.1500

Abstract

Apriori is an algorithm that is widely used to determine the pattern of relationships between products that are often bought together in a store. This Apriori algorithm will be suitable to be applied in the field of determining strategy or promotion. PT. XYZ is one of the Lighting Distributor Companies. One of the problems of the company is the imbalance of stock in the warehouse. So, the purpose of this research is to obtain product purchase predictions from suppliers to maintain stock balance with product solds to customers. The object of this research is the application of apriori algorithm. This research data is in the form of sales transaction data at PT. XYZ. Data analysis using RapidMiner Software by determining the valure of support and confidence. The analysis shows that there are 22 Association Rules with a minimum support 20% and a minimum confidence 50%. This information is excpected to help the company in developing a product purchasing strategy from the supplier.