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All Journal Jurnal Indonesia Sosial Teknologi
Lena Magdalena
Universitas Catur Insan Cendekia Cirebon, Indonesia
Computer Science & IT Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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The Adoption of Digital Technologies in Supply Chains in the Manufacturing Area Lena Magdalena; Muhammad Hatta; Mar’atus Solikhah
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 2 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i2.921

Abstract

The Ongoing COVID pandemic has hampered economic activity; Food is a basic need that must be fulfilled and cannot be postponed. During the current pandemic, business people need to pay attention to the situation and conditions, especially the limitation of economic activity in several regions. However, Digital technologies have been extensively studied in academic research and industry. Moreover, little is known about adopting digital technologies in manufacturing firms at a supply chain level. This paper aims to understand why and how manufacturing firms adopt digital technologies and the impact of the adoption on supply chains. This research includes the design of a Web-based Supply Chain Management application to facilitate inventory management, starting from the process of ordering goods from suppliers and procurement of goods to managing goods to customers. Digital technology in the supply chain in the manufacturing area helps companies to store goods management data, raw materials, inventories, deliveries, and daily deposits, and others that are still using manual systems or not yet computerized to maximize performance and also profits for the company, suppliers, including end customers. The study identifies that technological intelligence and supply chain cooperation are critical factors and proposes two-dimensional levels of adopting digital technologies according to their low-to-high degrees.
Implementation of the Smart Indonesia Card Scholarship (KIP) Acceptance Using the K-NN Method (Case Study: Politeknik Siber Cerdika Internasional) Abi Surya Wijaya; Lena Magdalena; Chairun Nas
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.1382

Abstract

This study discusses the implementation of the K-Nearest Neighbor (K-NN) method in the process of receiving the Smart Indonesia Card (KIP) scholarship at the Cerdika International Cyber Polytechnic. The main purpose of this study is to improve accuracy and efficiency in the selection of KIP scholarship recipients. The K-NN method was chosen because of its ability to classify data based on the proximity of features between samples. This research involves analyzing data on prospective scholarship recipients which includes variables such as academic achievement, economic conditions, and extracurricular activities. The results of the implementation of the K-NN method show that this method can be used as an effective tool in the selection process of KIP scholarship recipients, with a fairly high level of accuracy compared to traditional methods. This finding is expected to help the Polytechnic in increasing transparency and fairness in providing scholarships.
Co-Authors Abi Surya Wijaya Chairun Nas Mar’atus Solikhah Muhammad Hatta