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All Journal Jurnal Informatika SIENNA
Yudi Abdul Syawari, Muhammad
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Computer Science & IT Engineering

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Sistem Smart Farming untuk Mewujudkan Pertanian Indonesia Maju, Mandiri, dan Modern Yudi Abdul Syawari, Muhammad; Wahyu Putri, Desmita; Hartono
Sienna Vol 5 No 2 (2024): Sienna Volume 5 Nomor 2 Desember 2024
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v5i2.1640

Abstract

Agriculture is a vital sector that serves as the backbone of society, particularly in Indonesia, which is known as an agrarian country. This sector includes sub-sectors such as food crops, horticulture, fisheries, livestock, and forestry, forming the primary source of livelihood for most of the population. However, agricultural productivity in Indonesia remains low due to the limited capacity of human resources in land management and the impact of climate change, which leads to reduced yields. Farmers often rely on manual methods to measure soil moisture, soil pH, and weather predictions, which are inefficient and prone to errors, ultimately affecting the quality and quantity of production. To address these challenges, an innovative tool has been developed to assist farmers in monitoring soil and weather conditions more accurately. This tool is equipped with sensors to measure soil moisture, soil pH, air humidity, air pressure, and wind speed. It also provides real-time weather prediction, security features through cameras and motion detection sensors, and solar panels with an inverter to generate standalone electricity. This technology allows for remote monitoring via smartphones, ensuring efficient land management, enhanced security, and sustainable energy support for farmers. By implementing this solution, it is expected that agricultural productivity in Indonesia can improve, effectively tackle climate challenges, and promote sustainability in the agrarian sector.
Pengembangan Sistem Keamanan Kendaraan Bermotor Berbasis Fingerprint Dengan Mikrokontroler Yudi Abdul Syawari, Muhammad; Aji Wijaya, Ryan; Hartono, Hartono; Apriando , Rama
Jurnal Informatika Vol 25 No 2 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

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Abstract

 Motorcycle theft is one of the eight most frequent types of crime in Indonesia in 2024, with a total of 19,057 reported cases. Based on data from Pusiknas Bareskrim Polri, 38,438 cases of motorcycle theft were recorded from January to November 2023. This condition indicates that the existing vehicle security systems are still unable to provide optimal protection, as conventional systems such as ignition keys and alarms are easily bypassed by criminals. Therefore, a more advanced, personalized, and highly protective security solution is needed. This study aims to develop a fingerprint-based motorcycle security system that can only be accessed by registered users and to design a prototype that integrates a fingerprint sensor with a microcontroller as the main control unit. The research method used is the prototyping method, which includes identifying system requirements, designing the initial hardware and software, developing the prototype, conducting functional testing, and evaluating the system. The main components used include a fingerprint sensor, a microcontroller, and actuators as the mechanism for the vehicle locking system. The test results show that all components and features of the system function as designed. The registration and deletion of the master fingerprint operate accurately as the main authentication mechanism. User management features—such as adding and deleting user fingerprints—also function properly, demonstrating the system’s capability to recognize and verify biometric data accurately. In addition, the mechanism for opening the motorcycle seat or storage compartment through fingerprint authentication operates smoothly and consistently. Overall, the developed system performs stably and accurately, providing a higher level of security compared to conventional systems. This proves that biometric technology based on fingerprint authentication is effective for implementation as a modern and efficient motorcycle security solution.
Co-Authors Aji Wijaya, Ryan Aminuyati Apriando , Rama Hartono Hartono Wahyu Putri, Desmita