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Journal : Infotech: Journal of Technology Information

RANCANG BANGUN SISTEM DETEKSI HUJAN OTOMATIS MENGGUNAKAN ARDUINO UNO Riadi, Ahmad Sharul; Salam, Ahmad Al-Baihaqi; Diantoro, Karno; Sitorus, Anwar T; Juwari, Juwari; Samroh, Samroh
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.555

Abstract

This research focuses on the design and construction of an automatic rain detection device that utilizes an Arduino Uno R3 as its primary microcontroller. The research was motivated by the need for a system capable of detecting rainfall in real time and providing automatic responses, such as driving a servo motor to close the clothesline roof. This device is designed to address weather uncertainty and help people protect their belongings from rain without the need for manual monitoring. By using a rain sensor, the system automatically detects the presence of water droplets and sends a signal to the Arduino to activate the closing mechanism.This research aims to address delays and uncertainties in rain detection, which can damage goods and clothing. Although existing systems use raindrop sensors, their slow response often hinders users from acting quickly. To address this issue, fuzzy logic methods are used to improve accuracy and speed. This system is implemented using Internet of Things (IoT) technology, with the main components being an Arduino Uno R3, ESP32, a raindrop sensor, and a stepper motor. Testing was conducted using Black Box Testing to ensure proper functionality. The Blynk application on a smartphone is used as an interface to control and monitor the system in real time.The results of my research show that the system can detect rain with high accuracy and provide a quick response by closing the canopy. With this system, it is hoped that the application of IoT technology in modern households can increase efficiency in managing unpredictable rainfall and provide better protection.
ANALISIS DAMPAK GAME ONLINE TERHADAP PERILAKU SOSIAL DAN KOGNITIF PENGUNA STUDI KASUS PLUS GAMING Aminah, Siti; Diantoro, Karno; Chandra, Ilham Aditya
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.548

Abstract

The development of information and communication technology has driven the growth of online gaming into a global phenomenon, especially among the younger generation. The ease of internet access and the availability of supporting devices have increased the intensity of gaming. Online games can provide benefits in terms of strategic thinking, teamwork, and cognitive development, but excessive use can have a negative impact on social interaction, emotional stability, and user time management. The problem in this study is that as the intensity of online gaming increases, it leads to a decrease in social interaction, emotional disturbance, impulsive thinking, and poor time management in users. These impacts not only interfere with the quality of social and emotional life, but also productivity and the balance of daily activities. Therefore, this study utilized a clustering technique with K-Means algorithm using Orange Data Mining application, to group users based on the duration of play as well as social, emotional, and cognitive indicators. This approach helps to objectively identify groups of users who experience both positive and negative impacts. The analysis resulted in two clusters: C1, containing users with moderate playing intensity and positive behavioral tendencies (56.49%, silhouette 0.588), and C2, containing high-intensity users with negative behavioral tendencies (43.51%, silhouette 0.549). This study aims to map the behavior of online game users based on the intensity of playing, so that the general pattern of positive and negative impacts that appear in different groups of users can be known. The findings are expected to be the basis for further studies on the influence of playing intensity on the balance of users' lives.
ANALISA PROGRAM BEASISWA METODE ALGORITMA DECISION TREE Maulidiyah, Fitria; Diantoro, Karno; Soderi, Ahmad
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.560

Abstract

Scholarships are educational financial aids granted to students based on specific criteria such as economic background, academic achievement, or a combination of both. These programs play a crucial role in preventing school dropouts and promoting educational equity and access, especially for junior high school students from underprivileged families. This study aims to develop a classification system for determining scholarship eligibility using data mining methods, particularly the C4.5 algorithm, to ensure that the selection process for scholarship recipients is objective, efficient, and transparent.The research was conducted quantitatively by analyzing student data with economic and academic attributes through stages of data selection, pre-processing, transformation, and result evaluation, utilizing the RapidMiner software. Implementation results show that the C4.5 classification model achieves a high level of accuracy in identifying eligible scholarship recipients, as measured by metrics such as accuracy, precision, and recall. Consequently, the developed system can minimize selection errors and improve the quality of decision-making. Overall, applying the C4.5 algorithm significantly enhances the effectiveness and efficiency of the scholarship selection process, supporting fairness, transparency, and accountability. Furthermore, it opens opportunities for future development by integrating more diverse data and additional machine learning methods to further optimize scholarship selection.The expected result include an Accuracy of 99.80%, Precision of 98.26%, and Recall of 100.00%. These outcomes support more accurate and targeted scholarship decision, ensure transparency and accountability, and open opportunities for future development through data integration to optimize scholarship selection.