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Battery Health Monitoring System Lithium-Ion Based on Fuzzy Logic Yogo Bekti Firmanto; Ahmadi Ahmadi; Rangsang Purnama; Wiwiet Herulambang
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i1.3

Batteries that can store electrical energy and are easy to carry make them the most practical technology choice as an electricity source. Even so, lithium-ion batteries are not free from the risk of damage when used. Therefore, a Lithium-ion battery health monitoring system was created. This system uses the INA219 sensor as a current and voltage detector and the DS18B20 sensor as a temperature detector. Arduino as a data process. The test results show that all components function well. In battery capacity testing, the highest error was 1.8%. For the DS18B20 sensor as a temperature sensor, an error of 2.4% was obtained. Testing capacity against temperature on the battery when the temperature was 25 C, the current was 485mAh; when the temperature was 44.8 C, the current was 550mAh, there was a difference of 65mAh or 11%. This difference corresponds to the difference in battery capacity. Testing using the Fuzzy Logic method was carried out on 3 batteries with different capacities to obtain the State of Health (SOH) value for each battery. Testing is carried out in real-time, as well as Matlab simulation. In battery test 1, with a capacity of 2200mAh and the highest temperature of 32.1 oC, the device's State of Health (SoH) was 90%, and Fuzzy Matlab was 87.6%. Battery 2, 1500mAh capacity with the highest temperature of 33.4oC obtained State of Health (SOH) of 60%, Fuzzy Matlab 60%. Battery 3 Capacity 2200mAh, Highest temperature 32.2 oC, State of Health (SOH) of 90%, Fuzzy Matlab 87.6%. The test results show that the overall error is still below 5%. A properly functioning Internet of Things (IoT) system can display information on lithium-ion batteries' State of Health (SoH) on devices and smartphones.

Solar-powered Mobile Robot for Monitoring Gas Distribution Pipe Leak Using IoT Application Richa Watiasih; Hasti Afianti; Arif Arizal; Ahmadi Ahmadi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i1.10

The constraints of gas distribution pipe leak monitoring robots in outdoor environments are the limited battery capacity and the method used as a monitoring system to assist the work of gas pipe leak inspection officers, which takes a long time. Therefore, the robot requires independent battery charging and real-time monitoring systems. This study resulted in a solar-powered gas distribution pipe leak monitoring robot that can provide real-time information on the robot's battery capacity and gas odor concentration data along the inspected gas distribution pipe. This robot can directly channel electrical power to the robot's battery using solar energy. This Mobile Robot uses a Photovoltaic (PV) module, Light Detection and Ranging (LiDAR), a Compass, a gas sensor, a voltage sensor, a current sensor, an ATMEGA 2560 Microcontroller, and Node MCU V3 ESP8266. The Internet of Things (IoT) application uses the Blynk application to monitor battery capacity and the concentration value of gas odor detected by the robot. The test results show that by using the PV + battery module, this mobile robot can work for more than 60 minutes compared to using only the battery for around 55 minutes. This work was successfully implemented based on IoT performance using the Blynk Application to monitor battery capacity conditions of voltage and current data and gas concentration data. It is also shown that the average delay time for sending data from voltage, current, and gas sensors to the Blynk application was around 0.226 seconds.

Peningkatan Soft Skill Bagi Siswa SMK Krian 1 Sidoarjo Melalui Pelatihan Robot Line Follower Richa Watiasih; Ahmadi Ahmadi; Mifad Ikromullah; Farizal Dwi Saputra; Didik Priantono
Semar: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2025): Semar: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/semarjpkm.v1i1.3

Persaingan kualitas Sumber Daya Manusia di industri saat ini sangat mempengaruhi lulusan Sekolah Menengah Kejuruan (SMK) khususnya SMK Krian 1 Sidoarjo. Untuk meningkatkan daya saing lulusan, maka pengelolah SMK Krian 1 Sidoarjo perlu melakukan kerjasama dengan Perguruan Tinggi untuk memfasilitasi siswa melalui pembelajaran mandiri diluar kurikulum berupa pelatihan soft skill. Berdasarkan permasalahan yang ada, maka melalui Pengabdian kepada Masyarakat (PkM) Mandiri Universitas Bhayangkara Surabaya tahun 2024 Tim Pengabdian Fakultas Teknik telah melaksanakan kegiatan “Pelatihan Soft skill Bagi Siswa SMK” berupa kegiatan “Pelatihan Robotika”. Dalam pelatihan Robotika ini peserta mendapatkan ilmu tentang jenis-jenis robot dan pemahanan secara teori dan praktek merakit robot beroda khususnya robot line follower menggunakan sensor infrared 5 channel, driver motor, motor DC penggerak roda, mikrokontroller Arduino Uno, dan baterai lithium-ion. Dari Pelatihan Robotika ini telah dihasilkan 3 buah robot line follower dan berhasil diujicoba pada lapangan berupa gambar bergaris warna hitam yang terdapat posisi start dan finish. Berdasarkan kuesioner yang diisi oleh seluruh peserta pelatihan Robotika ini diketahui bahwa rata-rata peserta sangat antusias dalam mengikuti pelatihan ini. Peserta pelatihan mendapatkan skill baru yang belum didapatkan dari sekolah.

Battery Health Monitoring System Lithium-Ion Based on Fuzzy Logic Yogo Bekti Firmanto; Ahmadi Ahmadi; Rangsang Purnama; Wiwiet Herulambang
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): June
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i1.3

Batteries that can store electrical energy and are easy to carry make them the most practical technology choice as an electricity source. Even so, lithium-ion batteries are not free from the risk of damage when used. Therefore, a Lithium-ion battery health monitoring system was created. This system uses the INA219 sensor as a current and voltage detector and the DS18B20 sensor as a temperature detector. Arduino as a data process. The test results show that all components function well. In battery capacity testing, the highest error was 1.8%. For the DS18B20 sensor as a temperature sensor, an error of 2.4% was obtained. Testing capacity against temperature on the battery when the temperature was 25 C, the current was 485mAh; when the temperature was 44.8 C, the current was 550mAh, there was a difference of 65mAh or 11%. This difference corresponds to the difference in battery capacity. Testing using the Fuzzy Logic method was carried out on 3 batteries with different capacities to obtain the State of Health (SOH) value for each battery. Testing is carried out in real-time, as well as Matlab simulation. In battery test 1, with a capacity of 2200mAh and the highest temperature of 32.1 oC, the device's State of Health (SoH) was 90%, and Fuzzy Matlab was 87.6%. Battery 2, 1500mAh capacity with the highest temperature of 33.4oC obtained State of Health (SOH) of 60%, Fuzzy Matlab 60%. Battery 3 Capacity 2200mAh, Highest temperature 32.2 oC, State of Health (SOH) of 90%, Fuzzy Matlab 87.6%. The test results show that the overall error is still below 5%. A properly functioning Internet of Things (IoT) system can display information on lithium-ion batteries' State of Health (SoH) on devices and smartphones.

Solar-powered Mobile Robot for Monitoring Gas Distribution Pipe Leak Using IoT Application Richa Watiasih; Hasti Afianti; Arif Arizal; Ahmadi Ahmadi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): June
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i1.10

The constraints of gas distribution pipe leak monitoring robots in outdoor environments are the limited battery capacity and the method used as a monitoring system to assist the work of gas pipe leak inspection officers, which takes a long time. Therefore, the robot requires independent battery charging and real-time monitoring systems. This study resulted in a solar-powered gas distribution pipe leak monitoring robot that can provide real-time information on the robot's battery capacity and gas odor concentration data along the inspected gas distribution pipe. This robot can directly channel electrical power to the robot's battery using solar energy. This Mobile Robot uses a Photovoltaic (PV) module, Light Detection and Ranging (LiDAR), a Compass, a gas sensor, a voltage sensor, a current sensor, an ATMEGA 2560 Microcontroller, and Node MCU V3 ESP8266. The Internet of Things (IoT) application uses the Blynk application to monitor battery capacity and the concentration value of gas odor detected by the robot. The test results show that by using the PV + battery module, this mobile robot can work for more than 60 minutes compared to using only the battery for around 55 minutes. This work was successfully implemented based on IoT performance using the Blynk Application to monitor battery capacity conditions of voltage and current data and gas concentration data. It is also shown that the average delay time for sending data from voltage, current, and gas sensors to the Blynk application was around 0.226 seconds.

Harmonic Performance in Hybrid AC-DC Microgrid Connected Bidirectional Converter with LCL Filter Hasti Afianti; Ahmadi Ahmadi; Saidah Saidah; Richa Watiasih; Bambang Purwahyudi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 11 No. 1 (2026): June
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v11i1.7

This paper presents the harmonic performance of a grid-connected hybrid AC-DC microgrid. Using solar power as a source in the DC microgrid and the grid in the AC microgrid eliminates the need for energy storage. Solar power generation is known to be intermittent, requiring a power supply to meet the load demand in the DC microgrid. Therefore, a converter that can operate as both an inverter and a rectifier is required. One way to address this issue is to use a bidirectional AC-DC converter (BC). To perform its function, this converter requires a filter to reduce the switching frequency ripple current injected into the grid. Among the available options, the LCL filter is widely recognized as the most effective solution for suppressing switching frequency harmonics. In this study, the performance of the LCL filter will be analyzed through simulations using MATLAB/Simulink. The results show that the bidirectional AC-DC converter designed with the LCL filter effectively suppresses resonances occurring at the converter output in rectifier or inverter mode., the voltage in the AC microgrid remained stable, the THD stayed below 5%, and the system frequency was well maintained. However, during the standby period, when the power transfer in both the DC and AC microgrids is zero, the THD on the grid remains high, up to 200%.

Peningkatan Soft Skill Bagi Siswa SMK Krian 1 Sidoarjo Melalui Pelatihan Robot Line Follower Richa Watiasih; Ahmadi Ahmadi; Mifad Ikromullah; Farizal Dwi Saputra; Didik Priantono
Semar: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2025): Semar: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/semarjpkm.v1i1.3

Persaingan kualitas Sumber Daya Manusia di industri saat ini sangat mempengaruhi lulusan Sekolah Menengah Kejuruan (SMK) khususnya SMK Krian 1 Sidoarjo. Untuk meningkatkan daya saing lulusan, maka pengelolah SMK Krian 1 Sidoarjo perlu melakukan kerjasama dengan Perguruan Tinggi untuk memfasilitasi siswa melalui pembelajaran mandiri diluar kurikulum berupa pelatihan soft skill. Berdasarkan permasalahan yang ada, maka melalui Pengabdian kepada Masyarakat (PkM) Mandiri Universitas Bhayangkara Surabaya tahun 2024 Tim Pengabdian Fakultas Teknik telah melaksanakan kegiatan “Pelatihan Soft skill Bagi Siswa SMK” berupa kegiatan “Pelatihan Robotika”. Dalam pelatihan Robotika ini peserta mendapatkan ilmu tentang jenis-jenis robot dan pemahanan secara teori dan praktek merakit robot beroda khususnya robot line follower menggunakan sensor infrared 5 channel, driver motor, motor DC penggerak roda, mikrokontroller Arduino Uno, dan baterai lithium-ion. Dari Pelatihan Robotika ini telah dihasilkan 3 buah robot line follower dan berhasil diujicoba pada lapangan berupa gambar bergaris warna hitam yang terdapat posisi start dan finish. Berdasarkan kuesioner yang diisi oleh seluruh peserta pelatihan Robotika ini diketahui bahwa rata-rata peserta sangat antusias dalam mengikuti pelatihan ini. Peserta pelatihan mendapatkan skill baru yang belum didapatkan dari sekolah.

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