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Study on Solar Powered Electric Vehicle with Thermal Management Systems on the Electrical Device Performance Herlambang, Yusuf Dewantoro; Sulistiyo, Wahyu; Margana, Margana; Apriandi, Nanang; Nursaputro, Septiantar Tebe; Marliyati, Marliyati; Setiyo, Muji; Purwanto, Wawan; Rochman, Muhammad Latifur; Shyu, Jin Cherng
Automotive Experiences Vol 7 No 1 (2024)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.10506

Abstract

This study aims to determine the reliability of applying a thermal management system in conjunction with Internet of Things in solar electric cars. In conventional electric cars or those whose driving energy source comes from gasoline fuel; the applied thermal management system is mainly used as a coolant for the internal combustion engine. However, for electric cars the thermal management system may be used for the main components such as controllers that convert solar module energy into electricity and batteries. Results from tests utilizing six DC fans for air cooling of the thermal management system yield two variations of battery charging conditions from the solar modules, namely variations of 25 and 400 turns of the trimmer constant current step-up charger. Test results from the proposed thermal management system show that the highest step-up charger temperature is 35.75 °C with voltage of 57.64 V for the variation of 25 laps. The test results on the battery voltage and temperature show that the highest battery temperature reaches 31.75 °C with voltage of 57.3 V at the variation of 25 rounds.
Pendampingan Penerapan Teknologi Smart Greenhouse Hidroponik Tanaman Selada Keriting Sistem Apung Berbasis Internet of Things di Nurusunnah Farm Aji, Achmad Fahrul; Sihono, Sihono; Supriyati, Supriyati; Rochmanto, Raditya Artha; Nursaputro, Septiantar Tebe; Kartika, Vinda Setya
Jurnal Pengabdian Sosial Vol. 1 No. 9 (2024): Juli
Publisher : PT. Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/c4jhq764

Abstract

Pertumbuhan penduduk meningkatkan permintaan sayuran segar, mendorong adopsi teknologi hidroponik yang menanam tanaman tanpa tanah menggunakan larutan nutrisi. Sistem ini meningkatkan produktivitas di lahan sempit dan menambah nilai estetika, serta menghindari penggunaan pestisida. Namun, pengaturan parameter seperti pH, oksigen, dan suhu diperlukan untuk menjaga pertumbuhan tanaman, terutama di lingkungan ekstrem seperti Semarang. Kegiatan pengabdian  mengimplementasikan teknologi IoT dalam sistem hidroponik apung di Nurusunnah Farm, Semarang. Teknologi ini memungkinkan pemantauan dan pengendalian parameter secara real-time, mengurangi beban kerja manual dan meningkatkan efisiensi serta produktivitas tanaman selada keriting. Kegiatan ini mencakup survei, perancangan, instalasi, pelatihan, dan evaluasi. Teknologi mampu melakukan pemantauan dan pengendalian parameter secara real-time, mengurangi beban kerja manual dan diharapkan meningkatkan produktivitas tanaman selada keriting. Hasil implementasi menunjukkan sistem yang dibuat dapat berjalan secara otomatis menggunakan teknologi IoT sehingga meningkatkan efisiensi pengelolaan kebun sekaligus mengurangi ketergantungan pada intervensi manual.
PENERAPAN TEKNOLOGI PENYIRAM TANAMAN OTOMATIS BERBASIS WEBCAM UNTUK USAHA TANAMAN “SURYA NURSERY" DI KELURAHAN PEDALANGAN SEMARANG: PENERAPAN TEKNOLOGI PENYIRAM TANAMAN OTOMATIS BERBASIS WEBCAM UNTUK USAHA TANAMAN “SURYA NURSERY" DI KELURAHAN PEDALANGAN SEMARANG Sayekti, Ilham; Aji, Achmad Fahrul; Adiwismono, Agus; Rochadi, Agus; Supriyo, Bambang; Krishna, Bangun; Utomo, Kusno; Nursaputro, Septiantar Tebe; Kusumastuti, Sri; Kartika, Vinda Setya
Bangun Rekaprima Vol. 11 No. 1 (2025): April 2025
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/bangunrekaprima.v11i1.6386

Abstract

This community service activity aims to help the ornamental plant business at "Surya Nursery," located in Pedalangan Village, Semarang, overcome plant care constraints due to limited time and human resources. The technology applied is an Arduino UNO-based automatic plant waterer equipped with a webcam for real-time monitoring in the business environment. The watering tool consists of 5 sprinklers that can rotate 360 degrees for an area of 200 square meters and can operate automatically or manually depending on the needs of the partner.Through this program, the team provides training and assistance to business partners, starting from device installation, system use, and maintenance of the technology applied. This system is expected to increase time efficiency, reduce water consumption, and maintain plant quality consistently.The results of this activity show that the tool can operate well, and partners feel the benefits in the form of increased productivity and reduced daily workload. The technology applied also opens up opportunities for "Surya Nursery" to increase competitiveness in the ornamental plant market. With this program, it is hoped that similar technology can be adopted by other small and medium enterprises in the agricultural sector.
Development of an IoT-Based Egg Incubator with PID Control System and Web Application Prabowo, Muhamad Cahyo Ardi; Sayekti, Ilham; Astuti, Sri; Nursaputro, Septiantar Tebe; Supriyati, Supriyati
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2044

Abstract

The rapid development of technology significantly impacts various aspects of life, including the field of livestock farming. The advancement of technology is expected to enhance the rate and effectiveness of production, particularly in the hatching of chicken eggs or chick breeding. The existing technology relies on manual on/off systems and manual monitoring, hindering successful egg-hatching rates and percentages. Therefore, this research aims to explain the development of an automated egg incubator using a Proportional Integral Derivative (PID) control system with hypertuning parameters, as well as temperature and humidity monitoring, along with a protection system based on voltage sensors, all integrated with the Internet of Things (IoT). The PID control is employed to regulate the temperature of the egg incubator, ensuring stability according to the predetermined set point temperature. The IoT system in this study comprises an ESP32 node as a microcontroller connected to a sensor, using Firebase and User app for monitoring the egg incubator. The study employed PID control with parameter values Kp=10, Ki=3, and Kd=8. The research yielded time-efficient egg incubation and prevention of turning delays. The DHT21 sensor achieved a 90% success rate in detecting room temperature (38°C) and humidity (77%-84%) within the incubator, while PID control effectively maintained the target temperature. The ACS712 sensor accurately detected current in the heater, power supply, and motor. The Kodular application can display sensor readings. The future implication is developing a more adaptive PID method toward changes and nonlinear dynamics. 
Implementation of Internet of Things-Based Autofeeder to Maintain Koi Pond Water Quality Helmy, Helmy; Pernanda, Suko Tyas; Nursaputro, Septiantar Tebe; Pratiwi, Mona Inayah; Rahmaditya, Brian; Anggreini, Clara Silvia
Jurnal Elektronika dan Telekomunikasi Vol 25, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.717

Abstract

Koi fish farming requires careful monitoring of water temperature and pH to prevent adverse impacts on the fish. This study presents a prototype IoT-based autofeeder that integrates real-time water quality monitoring and automatic feeding, controllable via both an Android application and local device buttons. The system allows users to configure feeding schedules, feed throw levels, and durations, as well as set pH thresholds. When the pH exceeds the safe range, the system automatically stops feeding and sends notifications, enabling the user to inspect and maintain pond water quality. The findings demonstrate that the dispensing level significantly influences the feed-throwing distance; higher dispensing levels result in longer distances. Small-sized feed (S) consistently produced the highest output, followed by medium-sized (M) and large-sized (L). Increasing the feeding duration enhanced the weight of the released feed. Additionally, the average delay in sensor data transmission to the database was recorded at 5.48 seconds. The data loss rate during the testing period was 1.72%, which is considered acceptable and does not adversely affect system operations. The data transmission system demonstrated good and stable performance with relatively low data loss.
Comparison of adaptive tuning fuzzy PID and Ziegler-Nichols PID for photovoltaic cooling system Badruzzaman, Yusnan; Vernandez, Aggie Brenda; Nursaputro, Septiantar Tebe; Larasati, Pangestuningtyas Diah
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i2.pp1063-1074

Abstract

Renewable energy, particularly solar power, is widely recognized as a clean and sustainable resource, with rooftop photovoltaic (PV) systems playing a vital role in electricity generation. However, high temperatures can significantly reduce their efficiency, making effective cooling systems essential. This study proposes a proportional-integral-derivative (PID) based cooling control system for rooftop PV panels, integrating an adaptive Mamdani fuzzy logic controller to optimize PID parameters dynamically. The methodology includes system modeling, hardware and software implementation, and comparative testing between the Mamdani fuzzy-PID controller and the Ziegler-Nichols PID method. Experimental results show that both controllers effectively regulate PV panel temperature at 36 °C. The Ziegler-Nichols PID achieves faster settling time of 6.45 minutes with a steady-state error of 1.345%, whereas the Mamdani fuzzy-PID reduces the steady-state error to 0.93% but with a longer settling time of 9.15 minutes. These results indicate that the fuzzy-PID controller offers better accuracy and system stability, making it a promising solution for maintaining PV performance under varying environmental conditions. The key novelty of this study lies in its adaptive approach, where the Mamdany fuzzy-PID controller continuously adjust control parameters (Kp,Ki,Kd) in real time, resulting in more consistent and precise temperature regulation than conventional PID tuning methods.