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Jurnal Sains Student Research
Published by CV Kampus Akademik Publising
ISSN : -     EISSN : 30259851     DOI : https://doi.org/10.61722/jssr.v2i1.552
Core Subject : Education,
Other
Fokus & Ruang Lingkup Jurnal Sains Student Research (JSSR), ISSN: (cetak), ISSN: (online) adalah jurnal yang ditujukan untuk publikasi artikel ilmiah yang diterbitkan oleh CV. Kampus Akademik Publising . Jurnal Sains Student Research (JSSR) merupakan platform publikasi jurnal Karya suatu hasil penelitian orisinil atau tinjauan Pustaka yang ditulis oleh dosen atau mahasiswa. Ruang lingkup karya yang diterbitkan mencakup Multidisiplin diantaranya yaitu: Manajemen, Ekonomi, Ekonomi Syariah, Akuntansi, Kewirausahaan, Bisnis, Ilmu Sosial Humaniora, Sastra, Bahasa, Pertanian, Kesehatan, Peternakan, perikanan, Politik, Pendidikan, Ilmu Teknik, Sistem Informasi, Teknik Elektro dan Informatika, Desain Komunikasi Visual, Ilmu Komunikasi,Hukum, . Jurnal ini terbit 1 tahun 6 kali (Februari, April, Juni, Agustus, Oktober, Desember)
Arjuna Subject : Umum - Umum
Articles 1,235 Documents
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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.
Peningkatan Ketahanan Pangan Keluarga Melalui Sosialisasi dan Praktik Aquadalon Lele dan Kangkung di Desa Kemujan, Kecamatan Adimulyo, Kabupaten Kebumen Alya Febriza Putri; Ameilia Fernanda Puspita Loka; Desinta Zahra Setiani; Evelyne Patricia Ngandiri; Maulina Farah Maynar; Galih Syubhan Syabani; Innova Rijanto; Ajeng Sarwi Lestari; Katira Arofah; Irwan Iftadi
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.v4i2.9527

Abstract

Limited yard space and the increasing demand for household food are challenges in strengthening family food security in Kemujan Village. This Community Service Program (KKN) aims to optimize the utilization of narrow land through the Aquadalon (Aquaponics in a Gallon) innovation, an integrated cultivation system of catfish (Clarias sp.) and water spinach (Ipomoea aquatica) using modified recycled gallon containers. The implementation method used a participatory approach through stages of socialization, installation training, hands-on practice, and maintenance assistance for heads of households as the target audience. A total of 30 Aquadalon units were created and implemented as pilot projects. Program evaluation was conducted descriptively through observations of participation levels, installation assembly skills, and the success of fish and plant maintenance. The results showed high enthusiasm among participants, an independent ability to assemble the system, and healthy growth of both water spinach and catfish at the household scale. The Aquadalon system proved to be water-efficient, utilized fish metabolic waste as plant nutrients, and was relatively low-cost. This program has the potential to become a simple, economical, and easily replicable model of appropriate technology to support family food independence in areas with land limitations.

Page 124 of 124 | Total Record : 1235

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