Jurnal Media Elektro

Monitoring Systems for Counting People Based on Wireless Multimedia Sensor Network

Wed, 30 Apr 2025 00:00:00 +0000

The visual sensor used in the Wireless Sensor Multimedia Networks (WSMN) in this work aims to monitor and calculate the number of people passing through a room. The contribution of this paper is the use of Raspberry Pi 3 devices that are connected to the internet using Internet-of-Thing (IoT) technology. The proposed scheme can be implemented in the actual environment. From the test results, the system has distinguished people entering and leaving the room by doing image processing using background subtraction, morphological transformation method, and calculating the contour area of the image. The results of image processing can calculate the number of people in the room, and the system can send it to the web server. Subsequently, this paper discussed the energy consumption used by the WSMN and explained test parameters.

DESIGN AND IMPLEMENTATION OF AN ARDUINO NANO-BASED PINKY FINGER EMG AND EYE EOG PHYSIOLOGICAL SIGNAL GENERATOR

Hendi Handian Rachmat, Muhammad M. Firdaus, Allyfa N. Hernawan, Sindi Septiani — Wed, 30 Apr 2025 00:00:00 +0000

In this study, the design and implementation of a portable Arduino Nano-based physiological signal generator for pinky EMG and EOG eye movement (looking right and left) were carried out. The purpose of this study is to develop a device capable of storing and generating physiological signals, so that the device can serve as a substitute for test subjects. The physiological signal generator system was implemented by storing digital physiological signal data from test subjects in the internal memory of the Arduino Nano microcontroller, which also acts as the system's controller and processor. The signal conditioning system uses an MCP4725 module 12-bit resolution DAC, an LM358 OP-Amp as a non-inverting signal amplifier, a 20x4 LCD as the signal menu display, and a joystick module for selecting signal menus. The system was tested by comparing the signals generated by the signal generator with the physiological signal data recorded from test subjects (the data stored on the device). Based on the test results, the signal generated by the electronic device is visually ±100% identical to the recorded physiological signal data. The average amplitude difference is relatively small, with the smallest difference being 0.1 mV and the largest difference being 4.9 mV.

DIAGNOSTIC TOOL DETECTS GLUCOSE,CHOLESTTEROL,URIC ACID LEVELS AND BODY TEMPERATUR NON-INVASIVE

JOHANNES DABUKKE, Denny hasminta Sembiring Maha — Wed, 30 Apr 2025 00:00:00 +0000

Metode non-invasif telah merevolusi cara pengambilan sampel darah. Metode invasif, seperti menusukkan jarum pada jari, sering kali membuat pasien tidak nyaman. Misalnya, metode invasif digunakan untuk memeriksa kadar kolesterol, asam urat, dan gula darah, yang merupakan penyakit tidak menular. Proses ini memerlukan pengambilan darah dan pencatatan hasilnya pada kertas rekam medis. Kekurangan metode ini antara lain ketidaknyamanan bagi pasien yang memiliki jadwal padat dan fobia jarum. Oleh karena itu, penelitian ini menciptakan alat untuk mengukur gula darah, kolesterol, asam urat, dan suhu tubuh menggunakan internet of things (IoT) dengan platform Blynk. Dari tiga pengujian alat tersebut, nilai gula darah berkisar antara 76–79 mg, kolesterol antara 122–125 mg, dan asam urat antara 5–6 mg. Suhu tubuh tercatat antara 36–37 °C. Persentase kesalahan hasil pemeriksaan juga menunjukkan nilai kecil, di bawah 5%: gula darah antara 2,63–3,85%, kolesterol 1,64–2,44%, asam urat 1,79–4,20%, dan suhu tubuh 0,24–0,77%.

PENERAPAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) DALAM ANALISIS RISIKO KEGAGALAN RADIO LOKOMOTIF DI DIVISI REGIONAL III PALEMBANG

Wed, 30 Apr 2025 00:00:00 +0000

Locomotive radios serve as a crucial telecommunications system in railway operations. However, in Divisi Regional III Palembang, frequent malfunctions occur without systematic damage documentation, resulting in the absence of an optimal maintenance strategy. This study applies the Failure Mode and Effect Analysis (FMEA) method to identify failure characteristics, analyze their impact on each component, and determine the appropriate maintenance strategy. The analysis results indicate that from 2019 to 2022 a total of 20 communication failures occurred with the highest failure frequency observed in the Locomotive Transceiver Unit (LTU), which failed 14 times. The Mean Time Between Failure (MTBF) calculations reveal that the LTU has an average failure interval of 1,253 hours, while the Console has 1,297 hours, and the antenna reaches 8,064 hours. Risk analysis using FMEA shows that the console has the lowest risk level with a value of 18, the antenna has a moderate risk level with a value of 27, and the LTU has the highest risk level with a value of 36. Based on the identified maintenance strategy, the proposed solution includes implementing preventive maintenance and corrective maintenance to mitigate potential failures. A reliability test conducted over 1,000 hours yielded a reliability probability of 18.3%.

Website-based Academic Performance Monitoring and Evaluation Information System at IAIN Palopo

Rosdiana Rosdiana, Dwi Risky Arifanti, Kaimuddin Kaimuddin, Mukramin Mukramin — Mon, 12 May 2025 12:43:31 +0000

The State Islamic Institute of Religion (IAIN) Palopo uses Monitoring and Evaluation (Monev) to evaluate internal performance in all fields based on their respective work programs that have been formulated in Work Meetings. The Monev determined consists of two, namely Academic Monev and non-Academic Monev. The results of monitoring and evaluation are in the form of very valuable information for leaders or office holders to make improvements to all implementations of work programs that have been determined. The design of this website-based Monev information system is limited to academic Monev with the aim of being accessible anytime and anywhere, so that monitoring and checking by leadership can be carried out to measure the quality of the program that has been implemented. The academic monitoring and evaluation that has been designed is limited to PPL/PLP issues, Graduation activities and Implementation of Real Work Lectures (KKN). The implementation of this academic monitoring and evaluation information system makes it easier for clients to respond and respond to work programs that have been implemented so that they can become an evaluation reference for leadership.

Effect of KMnO₄ Concentration on the Bioelectricity of a Double-Chamber Microbial Fuel Cell Using Cocoa Pod Husk Waste as Substrat

Mon, 12 May 2025 12:45:37 +0000

The increasing use of fossil fuels for electricity generation leads to scarcity and greenhouse gas emissions, necessitating a solution in the form of a transition to environmentally friendly renewable energy. One renewable energy source that is currently being developed is the Microbial Fuel Cell (MFC), which utilizes bacterial metabolism to generate electrical energy. MFC generally consists of two chambers: an anode chamber containing microorganisms and substrates, and a cathode chamber containing an electrolyte solution. The organic material used as a substrate in the anode chamber of the MFC in this study is cocoa pod husk waste, while the electrolyte solution in the cathode chamber is potassium permanganate (KMnO₄). This study will analyze the effect of KMnO₄ concentration on the bioelectricity of the cocoa pod husk MFC, including current, voltage, and power density. The KMnO₄ concentrations used are 0.02 M, 0.03 M, and 0.04 M. The bioelectricity testing results show that the KMnO₄ concentration in the cathode chamber affects the system's performance, with a 0.03 M concentration producing the highest current and power density.