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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Mahasiswa TEUB Sisforma: Journal of Information Systems JURIKOM (Jurnal Riset Komputer) JUTIS : Jurnal Teknik Informatika Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Teknik Ilmu dan Aplikasi
Vipkas Al Hadid Firdaus
Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Journal : ComEngApp : Computer Engineering and Applications Journal

 1 
Optimization of Distributed RSA Encryption and Decription Processing Using Process Scheduling Method In Single Board Computer Cluster Architecture (SBC) Sofyan Nur Arief; Vipkas Al Hadid Firdaus; Arief Prasetyo
Computer Engineering and Applications Journal Vol 13 No 1 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v13i1.389

Abstract

Data security is still a major issue regarding the need for data confidentiality. The encryption process using the RSA algorithm is still the most popular method used in securing data because the complexity of the mathematical equations used in this algorithm makes it difficult to hack. However, the complexity of the RSA algorithm is still a major problem that hinders its application in a more complex application. Optimization is needed in the processing of this RSA algorithm, one of which is by running it on a distributed system. In this paper, we propose an approach with a FIFO process scheduling algorithm that runs on a single board computer cluster. The test results show that the allocation of resources in a system that uses a FIFO process scheduling algorithm is more efficient and shows a decrease in the overall processing time of RSA encryption.
Electrical Energy Monitoring and Analysis System at Home using IoT-based Prophet Algorithm Firdaus, Vipkas Al Hadid; Apriyani, Meyti Eka; Aprilia, Nurus Laily
Computer Engineering and Applications Journal Vol 13 No 2 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v13i2.435

Abstract

Electrical energy is one of the necessities of human life, especially in modern society in urban areas. With a monitoring device for electrical energy consumption using IoT technology, the results of the development show that the monitoring system works well, but the results show that current and voltage measurements are still less accurate. Therefore, in this study, an Electrical Energy Analysis and Monitoring System were developed using the IoT-Based Prophet Algorithm. Data collection was obtained from electrical energy using the PZEM-004T module sensor device used at home and the energy data obtained were stored in a MySQL database. This PZEM data retrieval will appear in real time on the Monitoring Website. The dataset was processed by implementing the Prophet Algorithm, evaluating the model and visualizing the prediction results on the analysis website. Testing using Mean Absolute Percentage Error (MAPE). For design, this system uses energy data and data retrieval time as parameters in the monitoring system for the use of electrical energy at home. Analysis of data taken from electrical energy monitoring was predicted by the model created by the Prophet Algorithm and tested with MAPE to see how accurate the predicted value is in the Prophet Algorithm model. Predictions in this study get an error value of less than 10%, namely 6.87%, which means it is very accurate in predicting the prophet algorithm at home.
Optimization of Distributed RSA Encryption and Decription Processing Using Process Scheduling Method In Single Board Computer Cluster Architecture (SBC) Arief, Sofyan Nur; Firdaus, Vipkas Al Hadid; Prasetyo, Arief
Computer Engineering and Applications Journal (ComEngApp) Vol. 13 No. 1 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Data security is still a major issue regarding the need for data confidentiality. The encryption process using the RSA algorithm is still the most popular method used in securing data because the complexity of the mathematical equations used in this algorithm makes it difficult to hack. However, the complexity of the RSA algorithm is still a major problem that hinders its application in a more complex application. Optimization is needed in the processing of this RSA algorithm, one of which is by running it on a distributed system. In this paper, we propose an approach with a FIFO process scheduling algorithm that runs on a single board computer cluster. The test results show that the allocation of resources in a system that uses a FIFO process scheduling algorithm is more efficient and shows a decrease in the overall processing time of RSA encryption.
Electrical Energy Monitoring and Analysis System At Home Using IoT-Based Prophet Algorithm Firdaus, Vipkas Al Hadid; Apriyani, Meyti Eka; Aprilia, Nurus Laily
Computer Engineering and Applications Journal (ComEngApp) Vol. 13 No. 2 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Electrical energy is one of the necessities of human life, especially in modern society in urban areas. With a monitoring device for electrical energy consumption using IoT technology, the results of the development show that the monitoring system works well, but the results show that current and voltage measurements are still less accurate. Therefore, in this study, an Electrical Energy Analysis and Monitoring System were developed using the IoT-Based Prophet Algorithm. Data collection was obtained from electrical energy using the PZEM-004T module sensor device used at home and the energy data obtained were stored in a MySQL database. This PZEM data retrieval will appear in real time on the Monitoring Website. The dataset was processed by implementing the Prophet Algorithm, evaluating the model and visualizing the prediction results on the analysis website. Testing using Mean Absolute Percentage Error (MAPE). For design, this system uses energy data and data retrieval time as parameters in the monitoring system for the use of electrical energy at home. Analysis of data taken from electrical energy monitoring was predicted by the model created by the Prophet Algorithm and tested with MAPE to see how accurate the predicted value is in the Prophet Algorithm model. Predictions in this study get an error value of less than 10%, namely 6.87%, which means it is very accurate in predicting the prophet algorithm at home.
Co-Authors Abiyyu Yafi Ade Ismail Ade Ismail Ade Ismail Adei Ismail Agustina, Rini Ane Fany Novitasari Annisa Puspa Kirana Annisa Taufika Firdausi Aprilia, Nurus Laily Arief Prasetyo Arief Prasetyo Arief, Sofyan Nur Batubulan, Kadek Suarjuna Dian Hanifudin Subhi Dodit Suprianto Eka Apriani, Meyti Elok Nur Hamdana Imam Fahrur Rozi Kadek Suarjuna Batubulan Mamluatul Hani’ah Muhammad Afif Hendrawan Muhammad Aswin Mustofa, Ali Noprianto Noprianto, Noprianto Nurtjahjani, Fullchis Nurus Laily Aprilia Odhitya Desta Triswidrananta Pramudhita, Agung Nugroho Putra Prima Arhandi Putra Prima Arhandi, Putra Prima Rizky Ardiansyah Sofyan Noor Arief Sofyan Nur Arief Vivi Nur Wijayaningrum Yazeed Qholili Arifin Yudistira Fiandra Putra, Bagaseto