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All Journal Jurnal Teknologi Informasi dan Komunikasi
Muhajir, Akrom
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Computer Science & IT Control & Systems Engineering

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Kotak Amal Pintar Berbasis Internet of Things (IoT) Menggunakan Platform Blynk di SMAN 1 Serangpanjang Soendara, Asep; Permana, Eka; Udoyono, Kodar; Aji, Setia; Muhajir, Akrom; Leander, Daud Elia
Jurnal Teknologi Informasi dan Komunikasi Vol 18 No 2 (2025): October
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v18i2.329

Abstract

The objective of this study is to develop an Internet of Things (IoT)-based donation box that can be monitored and controlled remotely through the Blynk platform. Conventional donation boxes typically rely on manual counting methods, which are prone to manipulation and errors, as well as vulnerabilities related to the use of traditional keys, such as loss or unauthorized duplication. To address these issues, this research proposes an IoT-enabled system designed to enhance both transparency and security. The research methodology includes a literature survey to understand IoT concepts and relevant technologies, as well as an evaluation of RFID readers and color sensors. Additionally, user requirements analysis and system design were conducted to ensure the accurate and relevant delivery of information. The expected outcome of this study is a prototype that enables real-time monitoring of donation box security, thereby improving reliability and safeguarding donations. Furthermore, this work is expected to serve as a reference for future research related to IoT-based security systems
SISTEM IRIGASI CERDAS TERINTEGRASI AI BERBASIS IoT UNTUK PERTANIAN MODERN MENGGUNAKAN ALGORITMA C 4.5 DI DESA XYZ Suryadi, Usep Tatang; Dwiana, Fazrian; Zaenal Abidin, Aa Zezen; Murdianingsih, Yuli; Faizal, Muhammad; Carkiman, Carkiman; Muhajir, Akrom
Jurnal Teknologi Informasi dan Komunikasi Vol 19 No 1 (2026): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v19i1.385

Abstract

The current irrigation system is still manual, resulting in suboptimal water use and water distribution that does not meet land requirements, causing a lot of water to be wasted. Irrigation control is also ineffective because Internet of Things technology is only capable of monitoring without automatic decision-making. This situation causes social problems related to water scarcity and slows down the progress of sustainable agriculture. The purpose of this study is to create an Internet of Things-based Sistem Irigasi cerdas system that can monitor agricultural environmental conditions in real time and use the C4.5 algorithm to classify irrigation needs. The research was conducted in the rice fields of Jabong Village with direct observation of agricultural land. Data was collected through DHT22, capacitive soil moisture, and raindrop water sensors with a total of 100 records. The analysis stages included determining the root node of all attributes, calculating entropy, information gain, and gain ratio. The attribute with the highest gain ratio was used as the root node, then the data was split to form leaf nodes. After the tree was formed, pruning was performed to avoid overfitting. The test results using RapidMiner tools showed an accuracy of 90.00%, which is classified as “good,” so this system can be a breakthrough from conventional agriculture to modern agriculture. This study is still limited to one user, three parameters, and the C4.5 algorithm.
Co-Authors Carkiman, Carkiman Dwiana, Fazrian Kodar Udoyono, Kodar Leander, Daud Elia Muhammad Faizal Permana, Eka Setia Aji, Setia Soendara, Asep Usep Tatang Suryadi, Usep Tatang Yuli Murdianingsih, Yuli Zaenal Abidin, Aa Zezen