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All Journal Journal La Multiapp BISMA: Bimbingan Swadaya Masyarakat Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
UMAR FAUZI
STMIK Amikom Yogyakarta
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Analysis of Long Short-Term Memory and Support Vector Regression Methods in Forecasting Electric Energy Sales: Case Study Septiawan, Adi Harjo; Fauzi, Umar
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.2045

Abstract

This study aims to predict the sales of electrical energy of PT PLN (Persero) Greater Jakarta Distribution Unit by using machine learning methods, specifically Long Short-Term Memory (LSTM) and Support Vector Regression (SVR). The data used includes electrical energy sales trends from 2016 to 2023 as well as external data from the Central Statistics Agency (BPS), which includes economic and demographic factors that affect energy demand, such as economic growth, population, and seasonal factors. LSTM was chosen for its ability to handle long-term dependencies in time series data, while SVR was used as a comparison to other regression methods. The resulting model is expected to provide more accurate predictions and be useful for PT PLN in planning the distribution of electrical energy efficiently. This research also contributes to the development of the application of machine learning in forecasting, which is growing in various sectors, including the energy sector, to improve operational efficiency and data-based decision making.
Peningkatan Kapasitas dan Kualitas Hidup Masyarakat Bangsri dalam menghadapi New Normal Fauzi, Umar
Bisma : Bimbingan Swadaya Masyarakat Vol. 5 No. 5 (2023): December 2023
Publisher : STAI Miftahul ULa Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/bisma.v1i1.149

Abstract

Miftahul 'Ula Islamic High School (STAIM) Nglawak Kertosono Nganjuk, as one of the higher education institutions that develops science, technology, information and the arts that breathe Islam, has a great responsibility in realizing and succeeding national development, especially development in the field of religion, spiritual mentality, social welfare and education by not forgetting other fields. The method used is PAR (Participatory Action Research). The results of the assistance In the implementation of KPM-IK participation activities is a work program that is important but in its implementation is not very emphasized and 98% carried out. This program is carried out thanks to the assistance and good cooperation from many parties, both from KPM-IK members themselves, community members, village governments or other institutions. Quality targets are achieved but in quantity some programs are still not in line with expectations.
SISTEM PENDUKUNG KEPUTUSAN BERBASIS WEB UNTUK MENENTUKAN SISWA PENERIMA BANTUAN PIP MENGGUNAKAN METODE TOPSIS fauzi, umar; Indriyanti, Aries Dwi; Vitadiar, Tanhella Zein; Mufarrihah, Iftitaahul
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9026

Abstract

Education is an important element in nation building, with the Smart Indonesia Programme (PIP) as one of the government initiatives to improve access and quality of education for students from economically weak families. However, the implementation of PIP often faces obstacles in the selection of beneficiaries, especially in manual processes that are prone to subjectivity and human error. This research aims to develop a web-based decision support system with the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to improve the objectivity, efficiency, and accuracy of PIP beneficiary selection at MI Al-Adnani, Jombang.The research was conducted through the stages of analysis, data collection, and method implementation. The TOPSIS method was chosen because of its ability to handle uncertainty in decision-making by considering various criteria such as parents‘ income, number of family dependents, parents’ occupation, orphan status, and ownership of KIP and PKH cards.The results showed that the application of the TOPSIS method was successfully integrated into a web application, resulting in a ranking of students who are eligible to receive assistance objectively and transparently. In a comparison test of calculations using the TOPSIS method between the system and Excel, the same recommendation of students receiving aid was obtained, with the highest scores for Amrullah Rafie Purnawan (0.7), Muhammad Afnan Atma Purnama (0.7), and Hayqo Mazaya (0.6). This application is proven to be effective in reducing subjectivity, increasing selection accuracy, and providing transparency to the school so that it can be a quick and efficient solution in the distribution of educational assistance at MI Al-Adnani. Keywords: Indonesia Smart Program, Decision Support System, TOPSIS, Website
Co-Authors Aries Dwi Indriyanti, Aries Dwi Iftitaahul Mufarrihah Septiawan, Adi Harjo Tanhella Zein Vitadiar