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Prediction System on Electricity Consumption using Web-Based LSTM Algorithm Fathoni waseso jati; Komang Jaya Bhaskara; Faisal Candrasyah Hasibuan; Budhi Irawan
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): August 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i02.5227

The technology development from year to year is increasing rapidly, especially in the electronics devices such as notebooks and smartphones. With the rapid development of technology, lifestyle habits have also changed. This can lead to an increase in the use of electrical energy. In addition, the negligence of electricity users in monitoring electricity usage at the place of the electricity meter also causes an increase in electrical energy. Monitoring the electricity meter in real time can limit the user from manage their electricity efficiently. This study aims to create a web-based electrical energy usage prediction system. This system can make it easier for users to manage and reduce waste of electrical energy. In the development of this system, it begins by collecting image data of remaining electricity which are processed manually into electrical energy consumption data. Then the data is pre-processed so that the data is clean and ready to use. The clean data is carried out by the process of making a Long-Short Term Memory (LSTM) model which was chosen because it can overcome Time Series and Non-Linear data types. LSTM model is designed to be able to predict the use of electrical energy. Then do the web application design as an interface on the predictive data. Based on the results of the test, the LSTM model can predict the use of electrical energy with a Loss Mean Square Error (MSE) value of 0.0071. While the results of website testing carried out with the alpha test get an accuracy of 100% and a beta test of 82.64%.

Random Forest Implementation in Prepaid Electric Meter Recognition Komang Jaya Bhaskara Mahatya; Fathoni Waseso Jati; Budhi Irawan; Faisal Candrasyah Hasibuan
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): August 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i02.5228

While prepaid electricity services provide better flexibility, it comes with an additional step for the customer. Instead of paying a monthly bill based on electric usage, a prepaid system requires customers to actively predict their electricity usage before they pay for the correct electricity value. This presents a challenge because Underestimating electricity usage may lead to a power outage. Therefore, a system that monitors electricity can be developed to address this issue. There are two approaches to developing an electric monitoring system: designing the electric meter equipped with monitoring features or designing an external capturing device to work with the current electric meter. The first approach is costly and requires a meter disassembly. Thus, in this paper, the second approach is used. By utilizing image processing and a Random Forest machine learning algorithm, a monitoring device can be developed to read the digital meter's display. Although it may affect performance due to the low-power device, Raspberry Pi 3 and Raspberry Camera are used to provide automation. This method yields an accuracy of 97% using 375 images.

Empowering website based information and service quality: the role of backend developer in village digitalization Daffa Ahmadhan Khusumah; Agus Virgono; Faisal Candrasyah Hasibuan
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 2 No 03 (2023): September 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i03.6352

In today's technology-driven era, this paper investigates the indispensable role of backend developers in empowering website-based information and service quality through digitization initiatives. As technology is critical in service delivery and information dissemination, backend developers are crucial in developing robust and efficient systems. This paper emphasizes the importance of their position by examining their primary responsibilities, skills required, challenges faced, and their impact on improving the quality of website-based services and information in the digitization process. By studying the realm of backend development, this paper highlights the vital contribution made by backend developers in achieving effective digital transformation.

Development of a User Interface (Front End) in a Website-Based Village Information System to Improve Service Quality and Community Empowerment Information: Sindangresmi Village Information System Titipan, Muhammad Raga; Virgono, Agus; Hasibuan, Faisal Candrasyah
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 4 No 01 (2025): May 2025
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i04.6358

Sindangresmi Village is one of 10 villages in the Jampang Tengah District, Sukabumi Regency. The village is the most accurate data source for searching population data. For this reason, the method of collecting population data, filling in data in a format, and data processing to present population data information to the public must be carried out effectively and efficiently so that the information can be conveyed quickly and accurately. For the case study in this village, the data collection process for services is still manual. Therefore, there are always errors and duplications of data. Because manual data collection is prone to data entry errors, duplication, or loss due to human error. In addition, the difficulty of accessing information is also a problem due to the need for an organized system for storing and managing village data. A website-based village information system has become a promising solution for improving service quality and access to information to empower rural communities. The programming language used to build this system is HTML (Hypertext Markup Language), with the framework PHP (Hypertext Preprocessor) and SQL (Structured Query Language) as the database. Keyword : Village Information System Digitalization Sindangresmi

Development of village information system website as a strategy for increasing the tourism experience in Sindangresmi village Pamungkas, Fajar Triaji; Virgono, Agus; Hasibuan, Faisal Candrasyah
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 4 No 01 (2025): May 2025
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i04.6369

Tourism is an important function in increasing the regional economy. In recent years, digitization has emerged as a transformative force in the tourism industry, providing new possibilities for enhancing the tourist experience and making development sustainable. Sindangresmi Village, located in Central Jampang, has a unique cultural heritage, natural landscapes, and culture attractive to tourists. However, to remain competitive in the current tourism scene, embodying virtual technologies to provide the land with immersive and engaging stories is important. Digital systems can facilitate the involvement and empowerment of networks in tourism development. Online networks and social media companies can serve as a channel of communication for residents, enabling them to share their stories, traditions, and entrepreneurship with tourists. This virtual connection fosters experiences of satisfaction and encourages sustainable tourism practices that maintain the cultural heritage and tourism of the village. The digitization of tourism provides a wide opportunity for Sindangresmi Village to enhance its tourism experience. By leveraging digital advertising and marketing techniques, immersive technologies, intelligent control structures, and internet engagement systems, villages can attract more visitors and enhance the tourism experience. Using digitalization is important for Sindangresmi Village to develop a dynamic tourism aspect while maintaining its distinctive identity and heritage.

Back-end website development for IoT-based automated water dissolved oxygen control Mahaasin, Habib Irfan; Kusuma, Purba Daru; Hasibuan, Faisal Candrasyah
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 4 No 01 (2025): May 2025
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i04.6528

The process of fish farming will never be separated from dissolved oxygen level control devices such as aerators so that the cultured fish can grow and develop optimally. This is quite troublesome for fish farmers, especially for people who often leave their cultivation sites, so they cannot monitor directly. Therefore, a platform for remote monitoring is needed. This journal focuses on designing and developing a back-end system, one of which functions as a data communication medium from the IOT antares platform to the website built so that the website can be used to monitor and control IOT devices using the waterfall development method and HTTP communication protocol. this method and communication protocol were chosen because they are currently quite popular and very flexible to use. The results of this research show that data communication carried out by the server with Antares using the GO programming language can run well and quite efficiently. The system built is also able to accommodate several requests from users simultaneously with an average response time of 60ms, while the exchange of IOT device data with the website has an average response time of 3 seconds.

Implementation of Self-Hosted IoT Ecosystem on NPK Soil Monitoring System Nugroho, Aditya Bakti; Hasibuan, Faisal Candrasyah; Perdana, Doan
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 4 No 02 (2025): November 2025
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v3i01.6698

In previous research, a tool has been made to detect soil NPK nutrient content with a screen display on the device. However, the reading results of the system cannot be monitored remotely. This research aims to develop a self-built IoT ecosystem to monitor the readings remotely. On the device side, a microcontroller can connect to the internet via a Wi-Fi network. The communication protocol selected is the MQTT protocol based on the pub-sub model. The software chosen to present the data is Node-RED. The service is self-hosted using a personal computer (PC). To be accessed from the internet, a tunneling service is used. The data presentation service obtained can be accessed remotely. Based on the test results, the MQTT protocol allows sending data only in the size of tens of bytes with an average delivery time of under one second. The data is presented in a dashboard that can be accessed via the internet with a browser.

Prediction System on Electricity Consumption using Web-Based LSTM Algorithm jati, Fathoni waseso; Bhaskara, Komang Jaya; Hasibuan, Faisal Candrasyah; Irawan, Budhi
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): November 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i02.5227

The technology development from year to year is increasing rapidly, especially in the electronics devices such as notebooks and smartphones. With the rapid development of technology, lifestyle habits have also changed. This can lead to an increase in the use of electrical energy. In addition, the negligence of electricity users in monitoring electricity usage at the place of the electricity meter also causes an increase in electrical energy. Monitoring the electricity meter in real time can limit the user from manage their electricity efficiently. This study aims to create a web-based electrical energy usage prediction system. This system can make it easier for users to manage and reduce waste of electrical energy. In the development of this system, it begins by collecting image data of remaining electricity which are processed manually into electrical energy consumption data. Then the data is pre-processed so that the data is clean and ready to use. The clean data is carried out by the process of making a Long-Short Term Memory (LSTM) model which was chosen because it can overcome Time Series and Non-Linear data types. LSTM model is designed to be able to predict the use of electrical energy. Then do the web application design as an interface on the predictive data. Based on the results of the test, the LSTM model can predict the use of electrical energy with a Loss Mean Square Error (MSE) value of 0.0071. While the results of website testing carried out with the alpha test get an accuracy of 100% and a beta test of 82.64%.

Random Forest Implementation in Prepaid Electric Meter Recognition Mahatya, Komang Jaya Bhaskara; Jati, Fathoni Waseso; Irawan, Budhi; Hasibuan, Faisal Candrasyah
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): November 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i02.5228

While prepaid electricity services provide better flexibility, it comes with an additional step for the customer. Instead of paying a monthly bill based on electric usage, a prepaid system requires customers to actively predict their electricity usage before they pay for the correct electricity value. This presents a challenge because Underestimating electricity usage may lead to a power outage. Therefore, a system that monitors electricity can be developed to address this issue. There are two approaches to developing an electric monitoring system: designing the electric meter equipped with monitoring features or designing an external capturing device to work with the current electric meter. The first approach is costly and requires a meter disassembly. Thus, in this paper, the second approach is used. By utilizing image processing and a Random Forest machine learning algorithm, a monitoring device can be developed to read the digital meter's display. Although it may affect performance due to the low-power device, Raspberry Pi 3 and Raspberry Camera are used to provide automation. This method yields an accuracy of 97% using 375 images.

Empowering website based information and service quality: the role of backend developer in village digitalization Khusumah, Daffa Ahmadhan; Virgono, Agus; Hasibuan, Faisal Candrasyah
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 3 No 02 (2024): November 2024
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i03.6352

In today's technology-driven era, this paper investigates the indispensable role of backend developers in empowering website-based information and service quality through digitization initiatives. As technology is critical in service delivery and information dissemination, backend developers are crucial in developing robust and efficient systems. This paper emphasizes the importance of their position by examining their primary responsibilities, skills required, challenges faced, and their impact on improving the quality of website-based services and information in the digitization process. By studying the realm of backend development, this paper highlights the vital contribution made by backend developers in achieving effective digital transformation.

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