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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Hasil Pengabdian Kepada Masyarakat Martabe : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Education and Mathematical Science Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Instal : Jurnal Komputer sudo Jurnal Teknik Informatika Blend Sains Jurnal Teknik Innovative: Journal Of Social Science Research Jurnal Pengabdian Barelang Hanif Journal of Information Systems Portal Riset dan Inovasi Sistem Perangkat Lunak Tsabit
Halim Maulana
Universitas Muhammadiyah Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Hanif Journal of Information Systems

 1 
Smart Goat System Design and Construction in IoT-Based Goat Pens using Nodemcu ESP8266 Hidayah, Siti Nur; Maulana, Halim
Hanif Journal of Information Systems Vol. 2 No. 1 (2024): August Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v2i1.29

Abstract

Modern agriculture requires innovative approaches in farm management to improve efficiency and security. This thesis aims to design a smart goat system in a goat pen equipped with an anti-theft security system will based on the IoT. This system uses a ultrasonic sensor to monitor the condition of the goat's drinking water needs. In addition, it is equipped with anti-theft technology that utilizes magnetic sensors on the cage door to detect people entering around the cage if the system is activated in real-time. The collected data is integrated into the blink server to allow remote monitoring by the farmer. A mobile application was also developed as a UI that makes it easier for farmers to manage and monitor the barn effectively. By combining aspects of smart cages and anti-theft systems, this research aims to provide a comprehensive solution that can enhance farm security and optimize productivity simultaneously. The tool used in this research is Nodemcu ESP8266
Design of Fire Detector with Water Sprinkler Based on Internet of Things (IoT) Juliaz, Deal Alfi; Maulana, Halim
Hanif Journal of Information Systems Vol. 2 No. 2 (2025): February Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v2i2.38

Abstract

Fire detectors with smoke and fire sensors integrated with Internet of Things (IoT)- based sprinkler systems are an important innovation in modern fire safety systems. The system combines sensor technology to detect smoke and fire in real-time, as well as an automatic mechanism to respond to danger by spraying water through sprinklers connected to the IoT network. By utilizing IoT, the system can send alerts to mobile devices and control centers directly when a fire is detected, enabling quick response and efficient coordination. This research discusses the design, implementation, and evaluation of this fire detector system, as well as its benefits in improving safety and reducing fire damage. Evaluations were conducted with simulated fires to test the detection accuracy and response effectiveness of the system, demonstrating significant potential in fire risk mitigation and property protection. Hardware design of fire monitoring equipment with water sprinklers based on the Internet of Things (IoT) using NodeMCU ESP8266, Liquid Crystal Display (LCD), Relay, and water sprinklers. The design of the hardware work stages can be seen in the following block diagram.
IoT Based Industrial Waste Monitoring System Design with Data Visualization on A Web Application Using The Supervised Learning Method Ritonga, Muhammad Nauval Asyqar Ridwan; Maulana, Halim
Hanif Journal of Information Systems Vol. 3 No. 1 (2025): August Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v3i1.50

Abstract

Industrial waste management is a critical aspect of sustainable manufacturing, as improper handling can lead to severe environmental pollution and health hazards. Real-time monitoring of industrial waste parameters enables early detection of irregularities and supports informed decision-making for compliance with environmental regulations. This study presents the design of an IoT-based industrial waste monitoring system integrated with data visualization on a web application and enhanced by the supervised learning method for predictive analysis. The system utilizes IoT sensor nodes to measure key waste parameters such as pH level, temperature, turbidity, and chemical concentration. Sensor data is transmitted wirelessly to a cloud server, where it is stored, processed, and analyzed using supervised learning algorithms to classify waste quality and detect potential violations. The web application provides interactive dashboards, historical data tracking, and real-time alerts for stakeholders. Testing results demonstrate that the system achieves high accuracy in classifying waste conditions, offers user-friendly visual analytics, and enables proactive waste management. This research contributes to the development of intelligent environmental monitoring solutions, promoting efficiency, compliance, and sustainability in industrial operations.
Co-Authors Al Khowarizmi Al Khowarizmi Anitya Jauza Rachmad Edy Rahman Syahputra Efendi, Raimon Efendi, Syahril Farhan Al Ikhsan Ferdy Riza Gusrion, Deval Irvan, Irvan Juliaz, Deal Alfi Lubis, Husni Lutfi Basit Marah Doly Nasution Mhd. Basri Mintahul Rizka Nasution Mulkan Azhari Mulkan Azhari Nasution, Chairul Ichwan Purwanto Purwanto Rahmad Wahyudi Rangkuti, Zaki Zain Raveah Nasution Ritonga, Muhammad Nauval Asyqar Ridwan Sari Hutagalung, Fatma Sari, Ayu Sekar Sefhia Astri Yulika Purba Sibuea, Royhan Umri Siti Nur Hidayah, Siti Nur Suryana, Febriyanno Syahputra, Abdillah Tanjung, M. Iqbal Zakhir, Zharfan