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Saragi, Dian Putra
Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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RANCANG BANGUN SISTEM ELEVATOR MINI BERBASIS DUAL ARDUINO DENGAN KOMUNIKASI I2C Ilham Rizky Ananda; Manuel Manuel; Ergy Firly; Eka Dodi Suryanto; Dian Putra Saragi
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 2 (2026): April
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i2.9491

Abstract

This study is motivated by the limitations of systems that can represent the working principles of elevators in a practical and applicative manner within the field of control systems. The purpose of this research is to design and develop a mini elevator prototype based on two Arduino Uno microcontrollers communicating via the Inter-Integrated Circuit (I2C) protocol. The method used is experimental research with a system engineering approach, including system design, assembly, programming, and testing stages. The proposed system consists of a master Arduino as the main controller and a slave Arduino for controlling the automatic door system and sensors. The main components include a DC motor as the driving system, limit switches as position sensors, an ultrasonic sensor for safety detection, and a servo motor for the automatic door mechanism. The test results show that the system is capable of responding quickly to button inputs, accurately stopping the motor based on limit switch signals, and operating the automatic door system effectively. Furthermore, I2C communication between the two microcontrollers runs stably and in real-time. Therefore, the proposed prototype successfully implements a closed-loop control system and can serve as a reference for the development of microcontroller-based control systems.
Perancangan dan Implementasi Sistem Smart Waste Bin Berbasis ESP32 dengan Integrasi Multi-Sensor Muhammad Aris; Nehemia Fernando Danamik; Kelvin Adventino Purba; David Rio Manalu; Dian Putra Saragi
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 2 (2026): April
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i2.9492

Abstract

The increasing volume of waste has become a serious problem, as conventional waste management systems are still inefficient. This study aims to design a smart waste bin based on ESP32 with multi-sensor integration to improve efficiency.The system uses ultrasonic, infrared, MQ-2, and DHT11 sensors, with a servo as the actuator and a buzzer as an indicator. The results show that the system works well, is responsive, and improves waste condition monitoring.This system provides a practical solution to support environmental cleanliness.
Perancangan Miniatur Smart Greenhouse untuk Sistem Penyiraman dan Monitoring Tanaman Secara Otomatis Jesetua Natanael Simorangkir; Eka Dodi Suryanto; Dian Putra Saragi
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 2 (2026): April
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i2.9495

Abstract

The advancement of technology in the agricultural sector has spurred the implementation of automation systems to optimize efficiency and productivity through the Internet of Things (IoT) concept. This study aims to design and implement an integrated ESP32 microcontroller-based Smart Greenhouse system for real-time monitoring and control of environmental parameters. The system architecture integrates a series of sensors including soil moisture, temperature, light intensity, and motion sensors, supported by an LCD as a local interface and the Blynk application for remote monitoring. The methodology used is an experimental system engineering design approach that includes the design, implementation, and performance testing phases. The test results show that the system is capable of accurately acquiring environmental data and disseminating information synchronously through local and cloud platforms. In addition, the automatic control mechanism is proven effective in activating water pump actuators based on fluctuations in soil moisture parameters with a short response time. These findings confirm that the implementation of an IoT-based Smart Greenhouse system can improve the efficiency of crop management through watering automation and remote monitoring. This research has the potential to be developed on an industrial scale with optimization of sensor precision and network connectivity stability.
RANCANG BANGUN PROTOTYPE SISTEM PERINGATAN DINI KENAIKAN AIR SUNGAI DAN POTENSI LONGSOR BERBASIS IOT Restu Toriqiyatul Hayat; Andreas B Siahaan; Yosephus Ifanuel rumapea; Eka Dodi Suryanto; Dian Putra Saragi
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 2 (2026): April
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i2.9502

Abstract

This study aims to design and implement a prototype of an Internet of Things (IoT)-based early warning system for river water level rise and landslide potential. The system utilizes an ESP32 microcontroller as the main controller integrated with multiple environmental sensors, including an ultrasonic sensor for water level measurement, a soil moisture sensor, a vibration sensor, and a temperature and humidity sensor. The research method used is experimental, involving system design, hardware implementation, software development, and functional testing. The system is capable of monitoring environmental parameters in real-time and classifying conditions into three levels: safe, alert, and danger. The results show that the system successfully detects changes in environmental conditions and provides warnings through visual indicators, audio alarms, and IoT-based notifications. The multi-parameter approach improves the accuracy and reliability of the system in identifying potential flood and landslide risks. This prototype demonstrates effective performance and has the potential to be further developed into a real-world disaster mitigation system.
DESAIN PRODUK SISTEM MONITORING KUALITAS AIR KOLAM IKAN LELE BERBASIS SENSOR DAN MIKROKONTROLER Separ Gunawan Sinaga; Abdul Waqi Adlan; Jeremia Tobing; Dian Putra Saragi
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 2 (2026): April
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i2.9503

Abstract

Water quality is a critical factor influencing the success of catfish farming, as parameters such as temperature, pH, and visual water conditions directly affect fish growth and survival. Conventional monitoring methods are generally performed manually, resulting in limited accuracy and delayed responses to environmental changes. This study aims to design and implement a real-time water quality monitoring system based on Arduino Uno integrated with multiple sensors, including DS18B20 for temperature, a pH sensor for acidity, TCS3200 for water color detection, and a water level sensor. The system was developed using a prototyping approach, involving hardware integration and software programming using Arduino IDE. Experimental testing was conducted using clean tap water and polluted river water containing algae to evaluate system performance. The results indicate that the system is capable of accurately detecting variations in water quality parameters. Temperature and pH readings successfully distinguished between optimal and non-optimal conditions, while the TCS3200 color sensor effectively identified changes in water color based on RGB values, providing more detailed information compared to conventional turbidity-based methods. The system also provides real-time visual output through an LCD and early warning alerts via LED and buzzer when water conditions exceed normal thresholds. The findings suggest that the proposed system offers a practical and effective solution for monitoring water quality in catfish farming, with potential implications for improving productivity and enabling more responsive environmental management.
DESAIN DAN IMPLEMENTASI SISTEM BANTU BLIND SPOT MENGGUNAKAN SENSOR ULTRASONIK, PIR, LDR, DAN IMU PADA KENDARAAN BERAT Eduart Hotman Purba; Jerryo Daniel Saragih; Rio Rivaldo Sinurat; Eka Dodi Suryanto; Dian Putra Saragi
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 2 (2026): April
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i2.9506

Abstract

Accidents involving large vehicles such as trucks are often caused by blind spots that restrict the driver’s view. This research aims to develop a mictocontroller-based blind spot detection system capable of detecting objects, distinguishing between humans and inanimate objects, and adjusting detection system capable of detecting objects, distinguishing between humans and inanimate objects, and adjusting detection sensitivity according to environmental conditions. This system uses an Arduino Uno as the main controller, integrated with two ultrasonic sensors to detect the distance of objects in front and behind the vehicle. The Passive Infrared (PIR) sensor detects the presence of humans based on body heat radiation, while the Light Dependent Resistor (LDR) sensor sets the detection threshold to 30 cm in bright conditions and 50 cm in dark conditions. The Inertial Measurement Unit (IMU) sensor makes the system active only when the vehicle is moving, thus saving power. The results show that the system detects objects with high accuracy within the specified distance range, correctly distinguishes humans, and responds well to changes in light and vehicle movement. This system is expected to be an effective solution to improve driving safety in large vehicles through early warning in blind spot areas.
Co-Authors Abdul Waqi Adlan Aditiya Pratama Daryana Aidil Syahputra Indardi Al Ikhlas, Al Ikhlas Albert Sebastian Siahaan Ali Ramatni Andreas B Siahaan Anja Tri Darmawan Annisa, Selly Arif Paulus W. Hutagaol Bakti Dwi Waluyo Benjamin Silalahi Benyamin Kusumoputro Biondi Sitompul David Rio Manalu Deswen Lumban Gaol Dicki C Manurung Eduart Hotman Purba Egy Wira Indana Eka Dodi Suryanto Ergy Firly Farid Wajdy Sitorus Felix Hizkia Simanjuntak Firmansyah Putra Friska Afrilia Hutasoit Fritz Immanuel S, Michael Haikal Budi Utomo Hasim, Jainudin Hutur P Siahaan Ihsan Ahmad Naipospos Ilham Rizky Ananda Immanuel, Michael Fritz Jastin Pangaribuan Jeremia Tobing Jerryo Daniel Saragih Jesetua Natanael Simorangkir Karya Cipta Mikado siregar Kelvin Adventino Purba Manuel Manuel Michael Oklando Sihotang Muchsin Harahap Muhammad Akram Haidar Syah Muhammad Aris Muhammad Ashari Muhammad Ashari Muhammad Aulia Rahman Sembiring Muhammad Ikbal Nada Candika Nehemia Fernando Danamik Nesty Aulia Hutagaol Nicolaus Fidal Diaz Manurung Pratama, Saras Raafiardian Sena Manu Mayoso Raphael Maruli Simanjuntak Rendy Pratama Sihombing Restu Toriqiyatul Hayat Rianda Sapitra Lubis Ricky Nelson Tampubolon Rio Rivaldo Sinurat Riski Josua Pangaribuan Rizki Abdillah Rizki Renaldi Rohimah Rohimah Roi Tua Simarmata Roihan Parli Lubis Ryris Agatha Runggu Samosir Separ Gunawan Sinaga SINAGA, DESMAN JONTO Sitorus, Abram Jonathan Sitorus, Farid Wajdy Tama Marito Aritonang Tri Martial Ungkap Hutasoit Wendy Panglima Sikop Pasaribu Windi Andriani Yosephus Ifanuel rumapea Yusuf Sihombing