Jambura Journal of Electrical and Electronics Engineering
Jambura Journal of Electrical and Electronics Engineering (JJEEE) is a peer-reviewed journal published by Electrical Engineering Department Faculty of Engineering, State University of Gorontalo. JJEEE provides open access to the principle that research published in this journal is freely available to the public to support the exchange of knowledge globally. JJEEE published two issue articles per year namely January and July. JJEEE provides a place for academics, researchers, and practitioners to publish scientific articles. Each text sent to the JJEEE editor is reviewed by peer review. Starting from Vol. 1 No. 1 (January 2019), all manuscripts sent to the JJEEE editor are accepted in Bahasa Indonesia or English. The scope of the articles listed in this journal relates to various topics, including: Control System, Optimization, Information System, Decision Support System, Computer Science, Artificial Intelligence, Power System, High Voltage, Informatics Engineering, Electronics, Renewable Energy. This journal is available in online and highly respects the ethics of publication and avoids all types of plagiarism.
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<![CDATA[Data Center Room Monitoring Based on Temperature and Humidity with Internet of Things ]]>
<![CDATA[Rizkiawan, M. Asep]]>;
<![CDATA[Ramza, Harry]]>;
<![CDATA[Nuroji, Nuroji]]>;
<![CDATA[Sofwan, Agus]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.23344
<![CDATA[The idea of the Internet of Things (IoT) encompasses the application of technologies such as sensors and software to an object for the purpose of communicating, controlling, connecting, and exchanging data with other devices while connected to the Internet. In this study, the IoT concept developed was used to monitor and regulate conditions within the data center. The development method used is the life cycle method of system development. The development process involved modifying the Arduino Uno with an esp8266 microcontroller and a DHT-22 sensor to detect temperature and humidity in real time. The testing of IoT development was done using the black box and white box methods. Research results show that the prototyped IoT network can operate well and successfully improve data center performance. In addition, users can also access the system through websites and mobile applications to facilitate the monitoring process.]]>
<![CDATA[Design of an Arduino Uno-based Drain Cleaning System for Housing Clusters ]]>
<![CDATA[Mahardika, Joar Yahdi]]>;
<![CDATA[Anshory, Izza]]>;
<![CDATA[Sulistiyowati, Indah]]>;
<![CDATA[Rasjid Saputra, Dwi Hadidjaja]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.24543
<![CDATA[The Design of a Drain Cleaning System in an Arduino Uno-based Housing Cluster is a research that aims to overcome the problem of obstacles in closed drainage channels in housing clusters. This research uses a design approach and implementation of an Arduino Uno microcontroller-based system integrated with ultrasonic sensors, buzzers, relays, and AC motors. The analysis method involves observation, literature study, problem analysis, solution, and conclusion. Testing is done through measuring the response of the components, the performance of the AC motor, and evaluating the entire system. The results show that the system is able to detect, measure, and overcome obstacles in drainage channels effectively. This research is expected to contribute to improving the quality of the residential environment and solving the problem of frequent flooding. By limiting the development of one unit of drainage channel cleaning tool for one house in a housing cluster, where each house will be equipped with one unit of tool installed on the water channel in front of its house. The conclusion of this research is that the system design can be an efficient and responsive solution in maintaining the smooth flow of water in the housing cluster, as well as providing convenience for residents to maintain their environment.]]>
<![CDATA[Temperature Monitoring System for 3 Phase Electric Arc Furnace (EAF) Transformer Cooling ]]>
<![CDATA[Afandy, Moh]]>;
<![CDATA[Mubarak, Abdul Haris]]>;
<![CDATA[Rianto, Muhammad Ikbal]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.24570
<![CDATA[ The Electric Arc Furnace (EAF) transformer is a key component in the steel melting system using a furnace. The transformer functions to convert the electrical voltage from the main electrical network into the electrical voltage needed to form an electric arc in the melting furnace. In this research, the EAF transformer configuration uses a delta-wye configuration with a furnace melting capacity of 10 kg nickel ore. In its working system, this transformer will produce a very high current when the melting system is running. So this process will produce excessive heat on the EAF transformer side. As a result of the significant heat generated in the melting process, this transformer is equipped with a cooling system in the form of transformer oil which is a heat release medium and maintains the correct operating temperature. An appropriate temperature monitoring system will increase the work efficiency of the transformer and prevent excessive damage to the system. The sensor used in the design is the RTD PT 100 sensor which is installed at 7 measurement points. The main controller for data collecting and data processing used is a Siemens PLC. Data that has been processed on the main control device is transmitted to the IoT cloud server using a V-box device. As a human machine interface (HMI) web SCADA is used to read data in real time. From the results of the tests that have been carried out, the highest error presentation value obtained in measurements on the T phase is 0.05%. Meanwhile, when measuring the transformer oil sensor, an error value of 0% was obtained.]]>
<![CDATA[Design of an IoT-Based Nursing Assistant Robot Using Nodemcu Esp8266 and Blynk ]]>
<![CDATA[Tongkad, Jainaldi]]>;
<![CDATA[Ridwan, Wrastawa]]>;
<![CDATA[Nasibu, Iskandar Zulkarnain]]>;
<![CDATA[Abdussamad, Syahrir]]>;
<![CDATA[Tansa, Salmawaty]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.20740
<![CDATA[Work as a nurse requires direct contact with patients, for example when carrying drugs or changing IVs. However, since the COVID-19 pandemic, awareness to reduce direct contact with patients is increasingly needed. Moreover, direct contact with patients with infectious diseases, such as covid-19. For this reason, it is necessary to create a tool / robot that can connect nurses and patients, especially patients with infectious diseases. In this study, a robot design and implementation was made that can assist nurses in delivering drugs to patients, without having to make direct contact with patients. IoT-based designed robots using NodeMCU, ESP8266 and Blynk. NodeMCU ESP8266 is used as a data processor and smartphones are used as remote controls via the internet. Data from the smartphone is processed by NodeMCU then sends a signal to the robot actuator via the L298N driver motor to drive the wheels. Furthermore, the internet-connected IP camera is used for live streaming on smartphones through the V380 Pro application as a directional guide. Then to prevent collisions, the ultrasonic sensor HCSR04 will send data to NodeMCU ESP8266 if there is an obstacle at a distance of 30 cm in front of the robot, so that the robot will move backwards. The experimental results show that the robot can run well where the robot is controlled by a nurse using the Blynk IoT application and V380 Pro on a smartphone via internet media. Then the test was carried out with two methods, namely smartphones using the robot's local Wi-Fi connection and smartphones using cellular networks. The results showed that the response time of the application command on the smartphone to the robot or viewing video results from the IP Camera was affected by the condition of the internet network used.]]>
<![CDATA[Design and Build a Water Pump Control System Using a Monitoring System Based on Telegram Communication ]]>
<![CDATA[Muntasiroh, Laily]]>;
<![CDATA[Solichan, Achmad]]>;
<![CDATA[Ikhwanuddin, Muhammad]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.24604
<![CDATA[creatures which is very important in a everyday, therefore ensuring that there is always water available in the reservoir is very important. However, in the process of controlling and monitoring water in the reservoir there are several problems, for example the location of the reservoir is on the top floor of the building and access is too difficult for monitoring the water reservoir. By designing a water pump control system with NodeMCU ESP 8266 using a Telegram communication-based monitoring system, system design using research and development methods can provide solutions and resolve existing problems. Via Smartphone, computer or laptop you can control water pumps and monitor water levels based on Telegram communication anytime and anywhere with Internet of Things (IoT) technology. Using an ultrasonic sensor type HC-SR04 to detect the water level in the reservoir, the process with the NodeMCU ESP 8266 board can be controlled and monitored using the Telegram massager application. The design has been carried out to test the function of every aspect of the components used, such as manual control, automatic systems, results read by ultrasonic sensors, Telegram communications and Telegram notifications that can run and optimally. ]]>
<![CDATA[Implementation of the Omron CP1E PLC on Continuous Automatic Plastic Shredding Machine Prototype ]]>
<![CDATA[Adam, Mochammad Rizki]]>;
<![CDATA[Wisaksono, Arief]]>;
<![CDATA[Sulistiyowati, Indah]]>;
<![CDATA[Ayuni, Shazana Dhiya]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.24644
<![CDATA[ Currently, the industrial world cannot be separated from plastic waste, one of which is sheet plastic waste, where this type of waste is very difficult to decompose in the soil, so it is necessary to recycle plastic waste by crushing it and then melting it in processing media such as plastic injection machine. Sheet plastic is usually processed through a shredding or crushing process using a plastic cutting machine. Most of the shredding machines in the industrial world still add plastic waste manually, with the shredding machine components still using a single motor which is used to drive the plastic shredding machine. To solve the above problem by adding several components to the plastic waste shredding machine so that it can be operated automatically using an Omron CP1E PLC, adding a blower motor and a traction motor that uses an inverter or PWM (Pulse Width Modulation) which functions to pull the remaining sheets. The plastic is then shredded by a grinder motor and the shredded results are moved by a blower motor to a special waste bin. This research applies research and development methods with a focus on designing a plastic chopping machine that operates automatically with a continuous system, based on a PLC using CX-One software. This research proves that automatic plastic shredding machines can increase efficiency, work safety and reduce production costs.]]>
<![CDATA[Implementation Of Dot Matrix Max7219 For Product Price Display ]]>
<![CDATA[saputro, galib asbie]]>;
<![CDATA[anshory, izza]]>;
<![CDATA[Syahrorini, Syamsudduha]]>;
<![CDATA[Sulistiyowati, Indah]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.24712
<![CDATA[The advancement of technology has strengthened the role of retail businesses as providers of products and services that are not only efficient but also responsive to market changes. In this context, the implementation of technological solutions such as the Dot Matrix MAX7219 for product price display has become increasingly important in improving operational efficiency and customer experience. This research investigates the development and implementation of such a system using the Wemos D1 Mini microcontroller as the central control unit. Experimental methods were used to design, test, and update the system, focusing on the system's response to changes in product prices and WiFi connection stability. The test results show that the system is able to display prices quickly, accurately, and responsively, while also having an adequate WiFi connection range. The practical implications of this research include the potential adoption of this solution by retail businesses to enhance operational efficiency and customer experience. However, continuity in system development and maintenance remains necessary to ensure the sustainability and success of the implementation in the long term.]]>
<![CDATA[Development of a Land and Building Tax Monitoring Module in the North Isimu Village Information System ]]>
<![CDATA[Risaji, Indra]]>;
<![CDATA[Dako, Amirudin Yunus]]>;
<![CDATA[Dako, Rahmat Dedi R.]]>;
<![CDATA[Musa, Wahab]]>;
<![CDATA[Bonok, Zainudin]]>;
<![CDATA[Abdussamad, Syahrir]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.25038
<![CDATA[The information system is a tool to facilitate the potential and resource management in a village. However, due to the current development of the information system in Isimu Utara Village, there are some unavailable and inaccessible features in the system, one of which is the monitoring feature for land and building tax payments. Thus, the researcher is concerned with developing new features in the village information system as one of the alternatives to overcome the problem. This research aimed to develop a land and building tax monitoring module that could be integrated into existing systems. This research implemented the Extreme Programming (XP) method because it had fast and iterative development stages for each part and was aligned with the main goals and targets of development. The result showed that the monitoring module was integrated successfully and became one of the main menus in the village information system. The result of the Unit Test and Acceptance Test also showed that the program has run well.]]>
<![CDATA[Analysis of Waste Energy Utilization in Ballast Load at Suka Sama Micro Hydro Power Plant ]]>
<![CDATA[Purba, Hengki]]>;
<![CDATA[Hutajulu, Olnes Yosefa]]>;
<![CDATA[Sinuraya, Arwadi]]>;
<![CDATA[Nababan, Puji Mory]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.25157
<![CDATA[The electrical power generated by a Micro Hydropower Plant (PLTMH) should be fully utilized without any wastage. The PLTMH Suka Sama, equipped with an Electronic Load Controller (ELC), diverts unused electrical power to a ballast load. This action is necessary to maintain system frequency stability in the event of excess power during a drop in demand. The utilization of energy from PLTMH Suka Sama can be improved by using the electrical power diverted to the ballast load to process sugarcane juice into palm sugar using a vacuum evaporator. The potential energy wasted to the ballast load will be calculated based on the comparison data of the power used by the PLTMH and the power wasted during peak and low demand periods over 9 days. The study results show that the power diverted to the ballast load ranges from 2,000 W to over 3,000 W for 4-7 hours per day. This research indicates that the wasted electrical energy can be utilized to produce palm sugar using a vacuum evaporator with a capacity of 2,000 W for 4-5 hours. The wasted energy, if utilized, can produce 2.5 kg to 3.5 kg of palm sugar.]]>
<![CDATA[Ensemble Approach to Sentiment Analysis of Google Play Store App Reviews ]]>
<![CDATA[Mustofa, Yasin Aril]]>;
<![CDATA[Idris, Irma Surya Kumala]]>
<![CDATA[ Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024 ]]>
Publisher : <![CDATA[Electrical Engineering Department Faculty of Engineering State University of Gorontalo ]]>
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DOI: 10.37905/jjeee.v6i2.25184
<![CDATA[In the current digital era, sentiment analysis of Google Play Store application reviews has become a critical key to understanding public opinion on technology products. This study aims to evaluate the effectiveness of ensemble approaches in sentiment analysis compared to individual classification algorithms. The methods employed include ensemble techniques such as Random Forest and Boosting, along with individual algorithms like Naive Bayes and Support Vector Machine (SVM). This research incorporates extensive preprocessing steps, including cleaning, case folding, tokenization, stopword removal, and normalization, to prepare the data before classification. The results demonstrate that ensemble models, particularly Random Forest, achieve superior performance in sentiment classification of app reviews, with accuracy reaching 94.15% for Zoom app reviews and 80.69% for Shopee app reviews. This performance confirms that ensemble approaches are more effective in handling the complexity and variability of review data compared to individually operated algorithms. The study provides valuable insights for application developers to enhance their products based on user feedback. However, there is still room for improvement in terms of optimizing algorithms for highly unbalanced data and developing methods that can handle more complex language nuances. Recommendations for future research include the use of Deep Learning techniques and cross-domain testing to assess the effectiveness of these models in various sentiment analysis settings.]]>
