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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI International Journal of Engineering, Science and Information Technology JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence AJAD : Jurnal Pengabdian kepada Masyarakat TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Arcitech: Journal of Computer Science and Artificial Intelligence Journal Geuthee of Engineering and Energy Jurnal Pengabdian Masyarakat Bangsa Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Pengabdian Nasional (JPN) Indonesia Journal of Advanced Computer Knowledge and Algorithms
Sahputra, Ilham
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Journal : Journal Geuthee of Engineering and Energy

 1 
Forecasting of electrical energy consumption using Autoregressive Integrated Moving Average (Case Study: ULP Meulaboh Kota) Gunandra Siregar, Putri; Sahputra, Ilham; Nisa, Fidyatun
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.56

Abstract

Forecasting electricity consumption is one of the solutions that can be implemented by the ULP Meulaboh Kota to ensure the availability of sufficient electricity supply. With the continuous increase in electricity demand, the ULP faces challenges in predicting and managing electricity consumption. Uncertainty in consumption patterns can lead to imbalances between supply and demand, potentially causing various issues such as power outages, high operational costs, and customer dissatisfaction. Therefore, accurate forecasting is essential to support effective decision-making and planning. This study aims to forecast electricity consumption across five different sectors: residential, social, business, industrial, and public, using the ARIMA (Autoregressive Integrated Moving Average) method. The forecasting process involves data collection, stationarity testing using the Augmented Dickey-Fuller (ADF) test, and differencing when necessary to achieve stationarity. The ARIMA model is identified through ACF and PACF plot analysis, estimated, and tested before being used for forecasting. The results indicate that the ARIMA method provides highly accurate forecasts for all sectors, as reflected by the low Mean Absolute Percentage Error (MAPE) values. The residential sector has a MAPE of 4.3957%, the social sector 4.3757%, the business sector 3.1125%, the industrial sector 7.9937%, and the public sector 4.3646%. Overall, the forecasting error produced by the ARIMA model remains below 8%, with an average MAPE of 4.8483% across all sectors.
Usability testing analysis of the Lhokseumawe district attorney’s office website using nielsen’s metrics for user experience evaluation Alfarisyi, Ahmad; Sahputra, Ilham; Eviyanti, Cut Yuniza; Karima, Annisa
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.63

Abstract

The Lhokseumawe district attorney's office is a law enforcement institution that utilizes a website as an essential medium for delivering public information and services. To ensure its optimal function, this research aims to evaluate the website's usability quality level. This study adopts the Usability Testing method with a quantitative descriptive approach , based on the five metrics proposed by Jakob Nielsen: learnability, efficiency, memorability, errors, and user satisfaction. Data collection involved direct observation of 10 users performing core task scenarios, supplemented by questionnaires and interviews. The test results indicate that the website generally meets several usability aspects. However, there are still significant shortcomings in the areas of efficiency and user satisfaction. Quantitatively, the website's total usability score is 87.5% , with the average satisfaction score using the System Usability Scale (SUS) being 65%. Based on these findings, this study recommends improvements to the navigation structure and user interface (UI) design to enhance the quality of digital services and provide a better user experience (UX). The results of this study are expected to serve as a reference for the website administrators of the Lhokseumawe District Attorney's Office for further system development
Co-Authors A Zohra, Siti Fatimah Abdulllah, Dahlan Afriza, Nadia Aidilof, Hafizh Al Kautsar Alfarisyi, Ahmad Angelina, Difa Angga Pratama ANNISA KARIMA Arief Rahman Arifa, Tiara Minda Badriana, Badriana Bakhtiar Bakhtiar Burhanuddin Burhanuddin Bustami Bustami Cut Agusniar Devi Irwansyah Elvanni, Imelda Elvanni Eviyanti, Cut Yuniza Fadasrsyah, Fadasrsyah Fadliani Fakhrurrazi Faridiansyah, T Iqbal Fauzan . Fauzi, Sri Wahyuni Fidyatun Nisa Fuadi, Wahyu Gunandra Siregar, Putri Herdiyanti, Alya Irwansyah, Defi Jasmin, Nadya Maryana Maryana Maryana Maryana, Maryana Mudawali, Mudawali Muhammad MUHAMMAD HABIB Muhammad Ikhwanus Mukarramah Mukarramah, Mukarramah Mukti Qamal Mutammimul Ula Muthmainnah Muthmainnah Nur Faliza Nurdin Nurdin Putri, Cindy Anindia Rahma Fitria, Rahma Razif, Razif Riki Maulana Rizky Putra Fhonna Rozzi Kesuma Dinata Safitri, Deviyan Safwandi Safwandi, Safwandi Saptari, Mochamad Ari Sari, Indah Maulida Sayed Fachrurrazi Siregar, Dinda Saima Agustina Siti, Nanda Sofyan, Diana Khairani Sujacka Retno Sukia, Sukia Sukiman, T. Sukma Achriadi Syibral Malasyi Syibral Malasyi, Syibral Syukriah Syukriah, Syukriah Tarigan, Anjasmara Teuku Multazam Usnawiah Utaminingsih, Eka Veri Ilhadi Yulisda, Desvina Yurni, Irma Zalfie Ardian Zohra, Siti Fatimah A Zulfia , Anni Zuraida Zuraida