BEES: Bulletin of Electrical and Electronics Engineering

Prototype Alat Pemilah Sampah Organik, Logam, dan Non Logam Menggunakan Mikrokontroler Esp32

2024-12-09T15:09:00+07:00

The issue of waste management has become increasingly important alongside the growth of population and public consumption. Improper disposal of waste types leads to environmental and health problems. To address this, it is necessary to develop technology that can aid in the efficient sorting of waste. This study aims to: first, design and build a waste sorter for organic, metal, and non-metal waste using the ESP32 microcontroller; and second, understand the operating system of the organic, metal, and non-metal waste sorting device. This research utilizes a design and implementation method for the waste sorter based on the ESP32 microcontroller. The device is equipped with capacitive and inductive proximity sensors to detect waste types, as well as a servo motor to direct waste into the appropriate collection bins. The results of this study indicate that: first, the designed waste sorter can sort waste into three categories: organic, metal, and non-metal. Second, the capacitive and inductive proximity sensors can effectively detect waste types at a range of 2-6 cm. Third, the servo motor can drive the sorting mechanism to direct waste to the appropriate collection bins. Fourth, this waste sorter can help improve efficiency and accuracy in waste management.

Pengaruh Variasi Konsentrasi Metanol dan Biogasoline Hasil Pirolisis Terhadap Performa Mesin Otto dengan Menggunakan Dynotest

2024-12-09T15:09:13+07:00

Global environmental issues are becoming more pressing with the increasing volume of plastic waste and the decline in fossil fuel resources. According to a report from the United Nations Environment Programme (UNEP), more than 300 million tons of plastic are produced annually, and around 50% of it is single-use plastic. This study aims to evaluate the effect of adding methanol to biogasoline from pyrolysis of plastic waste on an Otto engine, in this case a carburetor motorcycle. Plastic waste processed through pyrolysis produces biogasoline, which is then mixed with methanol in concentrations of 20% (BM20) and 30% (BM30). This test was carried out using a dynotest machine to measure power, torque, and air fuel ratio (AFR) in the engine speed range of 1000 to 7500 rpm. The results showed that the addition of methanol had an effect on increasing engine performance, especially on the power and torque produced. At 20% methanol concentration, engine power increased up to 5500 rpm before decreasing at 7500 rpm, while at 30% concentration, power increased from 200 rpm and began to decrease at 6700 rpm. Meanwhile, AFR showed a stable tendency at the beginning of engine speed with a significant decrease at high speed, especially in BM30. For AFR, BM30 produced more stable combustion at low speed but experienced a drastic decrease at high speed, with the air-fuel ratio reaching an imbalance above 7000 rpm. This study contributes to the development of alternative fuels based on plastic waste that are more efficient and environmentally friendly. The addition of methanol has been shown to improve the combustion quality of biogasoline, although further optimization is needed to achieve consistent performance across all engine speed ranges.

Techno-Economic Analysis of Integrated Solar-Wind System for EV Charging Station

2024-12-09T15:09:21+07:00

This study aims to comprehensively evaluate the potential, technical, and economic feasibility of implementing a hybrid solar-wind power generation system as a sustainable energy solution to support the operation of Electric Vehicle Charging Stations (EVCS) in Pangandaran Regency, Indonesia. Through simulations using HOMER Energy software, this research analyzes the renewable energy resource potential in the region, with an average solar radiation of 5.03 kWh/m² and an annual wind speed of 5.03 m/s. The simulation results show that the optimal system configuration consists of 335 solar panels (113.9 kWp) and 6 wind turbines (9 kW), capable of generating 177,791 kWh of annual electricity, which is sufficient to meet the energy needs of the EVCS with a reasonable margin. The economic analysis conducted indicates that although there is a significant initial investment cost, the hybrid system has a Net Present Cost (NPC) of IDR 5,825,862,785 with a Cost of Energy (COE) of IDR 2,245/kWh, demonstrating that this investment offers long-term economic benefits. Furthermore, the sensitivity study performed shows that the system is relatively robust to changes in environmental conditions and other system parameters. The results of this research provide strong evidence that the hybrid solar-wind power generation system is technically, economically, and environmentally viable for supporting the development of electric vehicle charging infrastructure in areas with high renewable resource potential, such as Pangandaran. The implementation of this system is expected to reduce dependence on fossil fuels, lower greenhouse gas emissions, and promote the transition towards clean and sustainable energy in Indonesia

The Alat Pendeteksi Kadar Gula Darah Menggunakan Teknik Non-Invasive Berbasis NodeMCU ESP8266

2024-12-19T06:57:52+07:00

This project focuses on the development of a non-invasive blood glucose detection device using an IoT based system with NodeMCU ESP8266 as its microprocessor. The rising health issues related to diabetes call for regular blood sampling. This study utilizes diffuse reflectance spectroscopy, where light is scattered when interacting with human issue, enabling non-invasive measurement. By integrating a photodiode and high-brightness LEDs with the NodeMCU ESP8266 microcontroller, the device measure blood glucose levels through finger placement. The result are displayed on an LCD screen and send to a Telegram Bot. this system aims to provide a convenient and painless alternative for routine blood glucose monitoring, especially for individuals with diabetes. After the design and construction of the non-invasive blood glucose detection device, testing was conducted, yielding an error percentage of 2.38% and a measurement accuracy rate of 97.62% based on ten data collection from different individuals.

Analisa Sensitivitas Pada Pengoptimalan Powerflow Untuk Menentukan Pengaruh Variasi Beban Terhadap Stabilitas Sistem

2025-02-03T21:55:00+07:00

The electrical power system requires reliability to provide good and stable services. Each area has a variety of load characteristics related to the energy patterns of users in that region. As the solution, optimizing power flow in the interconnected system is necessary to improve reliability, quality, and system stability. This study aims to determine the impact of load variations on system stability. The simulation results indicated that the power flow at bus 1 and bus 2, directly connected to the generator, got stable balance. Specifically, bus 1 had an active power of 144 kW and a reactive power of 102 kVAr, while bus 2 had an active power of 54 kW and a reactive power of 54 kVAr. The comparison of active power with the motor constant of 100%-0% static showed that the highest value at load 1 reached 37.12 kW. Similarly, the comparison of reactive power with a motor constant of 80%–20% for the static constant showed that the highest value, achieved at load 6, was 19.2 kVAr. Thus, the simulation is beneficial to analyze the sensitivity in optimizing power flow within the electrical power system and can serve as a reference for future research.