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Image Based Object Tracking Target on Ship Robot for Oil Waste Cleaner Richa Watiasih; Ahmadi; Adiananda
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1111.069 KB) | DOI: 10.54732/jeecs.v7i2.17

Abstract

The existing oil waste water contains oil, solids, water and heavy metals. This oil waste is a contaminant material that can cause negative impacts to the aquatic environment as well as the existing living creatures around it so that it requires a careful and fast handling to clean. The research resulted in the tracking system on the image-based-ship robot by using the method of histogram and fuzzy logic controller that can detect the image of waste water well. The result of the testing of the ship robot done on the pool indicated that it took about ± 196.92 seconds for the robot to detect the image of oil waste objects. The oil waste suctioning process took a maximum of 60 seconds for once.
Comparative Analysis of Solar Charge Controller Performance Between MPPT and PWM on Solar Panels Akbar Satria Putra; Hasti Afianti; Richa Watiasih
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.931 KB) | DOI: 10.54732/jeecs.v7i1.217

Abstract

Solar power plants require other supporting equipment besides solar panels, including SCC (Solar ChargerController) for solar panel charger media to batteries. While the battery itself as a store of electrical energy generatedby solar panels. Therefore, other supporting equipment is very important in the application of solar power generationsystems.In the charger system or battery charging on solar panels, an SCC solar charger controller is needed as the chargermedia. In the solar charger controller there are two types between MPPT (Maximum Power Point Tracker) and PWM(Pulse Width Modulation). This study aims to analyze the performance comparison between SCC which is good forsolar panels in battery charging. Apart from the comparison tool, the simulation tool used in this study is which oneis superior between MPPT and PWM. The way of comparison is to compare the current and voltage results obtainedfrom the SCC input and output between MPPT and PWM to find out which one is superior.The results of the comparison with simulation produce current input from MPPT between 10, 15, 20, 25 A while PWMinput current is between 10, 15, 20, 15A. The results of the MPPT current output are between 12, 18, 21, 25A, whilethe PWM output current is between 8, 18, 21, 25A. For the MPPT input voltage results are between 29, 25, 36, 41V,while the PWM is between 26, 29, 36, 41V, while the output MPPT voltage is between 14, 14, 15, 15V, while the PWMis in the range of 14, 14, 15, 15V.
Gait Control Applications on Four Legged Robot Richa Watiasih; Galuh Widia Rohman; Prihatsono; Ahmadi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 2 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (938.528 KB) | DOI: 10.54732/jeecs.v6i2.198

Abstract

A common problem faced by four-legged robots is when they encounter obstacles that have structures that force the robot to lift its legs higher than the robot's ability limit and can disrupt the robot's balance, so it is necessary to add a gait control method. This research has resulted in controlling the movement of a four-legged robot using the wave gait control method to pass obstacles in the form of stairs and uneven floors, where the movement of the robot by lifting one leg at a time makes the balance of the robot very awake. So that the robot can make decisions if the robot encounters obstacles in the form of stairs and uneven floors, the role of the ultrasonic sensor is very decisive in reading the environment. The way for the robot to climb stairs and not fall backwards is to slide the robot's hind legs back so that each robotic footstep will form a triangle. When the robot detects the presence of a stairs, the robot will lift its legs by 50o, while when it detects an uneven floor, the robot's legs will lift its legs by 40o. Based on the results of research conducted with 4 experiments, namely the success of the robot in passing through the trajectory without obstacles by 100%, the success of the robot in crossing the uneven floor by 60%, the success of the robot in passing the stairs by 50%, while the success of the robot in passing the stairs and the uneven floor by 70%.
Decision-Making in Gripper Control Systems Using Fuzzy Logic Method and Telegram Application Richa Watiasih; Junior Risqy Cosabagus
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.v9i1.8

Abstract

The application of the gripper in the industrial world has facilitated human work in the sorting process but has the disadvantage of not being able to sort objects based on the object's color. Conditions like these can affect the production quality factor when sorting objects. This research resulted in a gripper end effector system using the fuzzy method and the telegram application as a control, which has a function to distinguish the color of objects gripped by the gripper, thereby minimizing errors in sorting objects based on color. Telegram is used because the application is relatively light and can be accessed anywhere as long as it is connected to an internet connection. This study uses the fuzzy logic method as a decision-making process. The fuzzy method is used because it is very flexible and has a tolerance value in the existing data. The telegram function in this study is the main control to give orders to the gripper. The TCS3200 color sensor, in this study, is used to detect object color. The TCS3200 sensor converts the light intensity value to 8 bits so that the microcontroller can read it for each color in the test. The colors red, green, and blue were chosen as a reference because they are the primary or basic colors of all colors. From the results of testing the entire system in this study, 90% success was obtained in moving objects precisely based on the object's color. This result is enough to prove that the system can work properly.
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

Abstract

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

Abstract

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.