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Implementation of a Rule-Based Decision Support System in Determining the Level of Customer Satisfaction with Services Kerry Buck Manulak; Shaiful; Wisda; Mandeine Resyi
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 2 (2024): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i2.85

Abstract

Sarmi Car Wash is a car and motorbike washing service located at Jalan Sultan Hasanuddin No. 52, offering pick-up and drop-off services within a specified range. To enhance employee performance and customer service, the business seeks to implement a decision support system (DSS) to monitor employee performance and assess customer satisfaction effectively. This research aims to design a web-based DSS application that utilizes rule-based assessments of employee performance, integrating data such as employee names and tenure as references for developing the system. The study employed data collection methods including observation, interviews, documentation, and literature review. The system was tested using the black-box method, confirming that it functions as intended. Additionally, based on a user assessment questionnaire, the application achieved an average score of 80.4%, indicating its suitability and effectiveness for implementation. The developed system provides an efficient solution for improving service quality and employee performance monitoring at Sarmi Car Wash.
Development of a Robotic Arm Trainer with Color Detection Capabilities for Vocational Schools Ummiati Rahmah; Mahmud Mustapa; Ririn Novita Sari; Mandeine Resyi
Ceddi Journal of Education Vol. 3 No. 2 (2024): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/cje.v3i2.101

Abstract

This study aims to: (1) Analyze the learning conditions of the Robotic System Controller subject at SMK Negeri 4 Soppeng, (2) develop an ARM robotic color detector trainer for use in the Robotic System Controller practicum, (3) evaluate the validity of the trainer as a learning medium, and (4) Assess its practicality in the practicum. The development process followed the Computer-Assisted Instruction (CAI) model. The research subjects consisted of students majoring in Industrial Electronics at Vocational High School (SMKN) 4 Soppeng. Data were collected through validation sheets completed by media experts and response sheets filled out by students. The results showed that the media received a total average score of 93.5% from two media experts, categorizing it as very valid. Additionally, student trials yielded a total average score of 91%, placing it in the very practical category. These findings indicate that the ARM robotic color detector trainer is highly suitable and practical for use as a learning medium for students.