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APPLICATION OF THE C4.5 ALGORITHM IN MEASURING CUSTOMER SATISFACTION LEVELS TOWARD SERVICE IN A MINIMARKET Harkamsyah Andrianof; Aggy Pramana Gusman; Okta Andrica Putra Gusman
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1086

Abstract

Customer satisfaction is a crucial indicator in assessing the service quality of a retail business, specifically at Minimarket Berkah Jaya. Currently, customer satisfaction measurement is conducted manually, resulting in subjective and unstructured data, which hinders management from evaluating and improving service quality effectively. Therefore, this study aims to apply the C4.5 algorithm to measure and classify the level of customer satisfaction. The research data were collected through questionnaires distributed to 50 customers. The classification process used the C4.5 algorithm with attributes: Cashier Service, Shop Assistant Service, Product Completeness, Transaction Speed, and Store Facilities. The algorithm constructed a decision tree based on entropy and information gain calculations. The results indicate that Cashier Service is the most influential factor in determining customer satisfaction at Minimarket Berkah Jaya. The developed system assists management in data-driven decision-making to enhance service quality.
Implementation of an IoT-based Automatic Watering System in Highland Community Agricultural Land Okta Andrica Putra; Hadi Syahputra; Hasri Awal
Majalah Ilmiah UPI YPTK Vol. 33 (2026) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v33i1.218

Abstract

Farming in highland areas faces unique challenges such as changes in temperature, high humidity, and limited access to technology information. This community service activity aims to boost farming productivity by using the Internet of Things (IoT) for monitoring and managing agricultural land. The methods used include identifying the problems faced by farmers, designing an IoT system based on environmental sensors, and providing support and training on how to use the technology to the community. The IoT system that has been set up can monitor the temperature, air humidity, and soil moisture in real-time. This helps farmers make decisions about irrigation and taking care of their plants. The results of the activity show that there has been an improvement in how efficiently water is used, a decrease in the risk of crop failure, and an increase in agricultural production. In addition, support and technical training improve farmers' skills in using the system, making the adoption of technology more effective. Therefore, using IoT in highland farming can be a smart way to boost efficiency, productivity, and sustainability in agriculture in highland areas.