Yana Iqbal Maulana
Bina Sarana Informatika University

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Optimization of Random Forest Prediction for Industrial Energy Consumption Using Genetic Algorithms Sartini Sartini; Luthfia Rohimah; Yana Iqbal Maulana; Supriatin Supriatin; Dewi Yuliandari
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.5886

Abstract

Abstract Saving electrical energy consumption in industries is crucial; hence, the prediction of industrial energy consumption needs to be performed. The random forest method can be applied to steel industry data to predict energy consumption. The purpose of this prediction is to increase energy savings in industries and optimize the performance of the random forest method. The results of the random forest show that the algorithm can predict energy consumption in industries effectively; however, it needs further optimization to achieve better predictions. Therefore, the genetic algorithm method will be used to optimize the previous method. The optimization results indicate that it is successfully conducted in terms of accuracy and kappa level. This optimization is beneficial to society, especially industrial companies.
Evaluasi Penggunaan Supporting Applications For Quick Data Search (SuApQuDaS) Dengan Metode PIECES Framework Yana Iqbal Maulana; Agus Salim
Jurnal Ilmiah Teknologi Informasi Asia Vol 15 No 1 (2021): Volume 15 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v15i1.512

Abstract

The SuApQuDaS application was built to meet the needs of a team in one of the bureaus in managing data, especially the data search process to improve service to customers. Evaluation is a planned activity to assess a problem that occurs using instruments and the results can be compared with benchmarks to obtain conclusions so that solutions can be found to solve problems that arise. Meanwhile, information system evaluation can be carried out in different ways and at different levels, depending on the purpose of the evaluation. Its purpose is to assess technical capabilities, operational implementation, and system utilization. To simplify the evaluation, an analysis method is offered with the PIECES framework which describes the 6 focus of weakness analysis, namely Performance, Information and Data, Economy, Control and Security, Efficiency and Service. Based on the analysis method of the PIECES framework in measuring the level of evaluation, the value of each domain is obtained, namely the performance domain gets a score of 4.09, the domain information and data gets a score of 4.18, the domain economics gets a score of 4.18, the domain control and security gets a score 4.11, domain efficiency gets a score of 4.17, and domain service gets a score of 4.13.