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All Journal Jurnal Teknik Internet of Things and Artificial Intelligence Journal
Cahyani, Wanda
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Prediction Analysis of Package C Student Graduation at the Bollo DMansel Community Learning Activity Center (PKBM) with the Naïve Bayes Algorithm Method Yassir, Muhammad; Cahyani, Wanda
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 3 (2024): Volume 4 Issue 3, 2024 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i3.751

Abstract

Education plays a crucial role in improving the quality of human resources and is the key to a nation's progress. Bollo DMansel Community Learning Activity Center (PKBM) in West Papua provides a Paket C Equivalency Education program to help those who are underserved by formal education. The main challenge in this program is to increase student graduation rates. This research aims to analyze and predict the graduation of Paket C students at PKBM Bollo DMansel using the Naive Bayes algorithm method. The data used includes historical student data from 2021 to 2023, with a total of 128 students. The research steps include data collection, data pre-processing, Naive Bayes algorithm application, and prediction model evaluation. The results show that the Naive Bayes algorithm can provide graduation prediction with fairly high accuracy. The factors that most influence student graduation were identified, including attendance, test scores, and participation in activities. This research makes a real contribution to improving the quality of education at PKBM Bollo DMansel by providing a prediction tool to identify students at risk of not graduating so that timely intervention can be provided.
Penerapan IoT pada Sistem Deteksi Kadar Air dan Level Tangki Stasiun SPBU Hidayat, Andi Ircham; Agunawan, Agunawan; Mahendra, Yusri; Cahyani, Wanda
Jurnal Teknik Vol 21 No 2 (2023): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v21i2.421

Abstract

The development of the gas station business is currently very tempting for entrepreneurs, it can be witnessed that lately many gas station constructions have begun in the city to remote villages though. One of the most important things that is sometimes overlooked by gas station entrepreneurs is the quality of the fuel they sell and in general, monitoring the contents of the tank at gas stations is done manually. The purpose of the study was to design a Prototype of the Water Content Detection System and tank level, which aims to help gas station managers measure water content and monitor fuel content in gas station tanks automatically and realtime so that fuel quality is maintained, information can be monitored through web-based systems and mobile applications with Internet of Things technology. The IoT system design consists of an Arduino Uno R4 microcontroller, HC-SR04 ultrasonic sensor, conductivity sensor, and selenoid valve. The accuracy test results of the ultrasonic sensor used are good enough to measure the contents of the tank with an average error of 1.3%, while the conductivity sensor measurement has an average error of 0.292% with a validation process using the centrifuge method, The selenoid valve works well which is activated through a web-based monitoring application and a mobile application.
Co-Authors Agunawan, Agunawan Andi Ircham Hidayat Mahendra, Yusri Muhammad Yassir