WASPAS Implementation on Digital Talent Scholarship Selection

Abstract

Digital transformation also greatly influences the direction of economic development in Indonesia. This has an impact on the increasing need for IT experts, especially in the programming field. However, the number of skilled and reliable human resource programmers in Indonesia is still very small and has not been able to meet the demands of the digital industry. Therefore, information technology and decision support systems are needed as a tool to determine the selection of qualified junior mobile programming talent. As in previous research, a decision support system is a system specifically designed for the decision-making process on semi-structured and unstructured problems. In order for the purpose of the decision support system to be realized properly, it is assisted by using one of the methods in the decision support system, namely the WASPAS method which is a combination of the WSM and WPM methods. This method can be used to solve MCDM (Multi Criteria Decision Making) problems

Analisis Penjualan Produk Snack Dan Minuman Menggunakan Metode K-Means Pada Dataset Transaksi Penjualan

“…Penelitian (Dahria, 2019) membahas mengenai Implementasi K-Means Untuk Pengelompokan Produk Terbaik PT. Koko Pelli.…”

“…penerapan menggunakan metode algoritma K-Means pada data stok toko baker old poris adalah Aturan Clustering menggunakan algoritma K-Means dapat digunakan untuk menentukan kombinasi Toko Baker Old Poris,Pemilik dapat menyediakan produk yang banyak digunakan dengan hasil aturan K-Means Toko Baker Old Poris. Hasil menerapkan metode K-Means untuk menganalisis klasifikasi produk toko baker old poris, didapat Roti kopi isi coklat topping coffe dan Roti kopi isi keju topping coffe sebagai produk yang sangat laku dan akan mejadi bahan yang sering di stok [9]. Penelitian (Nababan, 2022) membahas Perbandingan Algoritma Fuzzy C-Means dan K-Medoids untuk Pengelompokan Data Penjualan pada 212 Martmengatakan Perbandingan dilakukan untuk mendapatkan cluster terbaik dengan pemodelan percobaan dari K4 hingga K10.…”