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All Journal Jurnal Media Infotama Scan : Jurnal Teknologi Informasi dan Komunikasi JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Journal of Information Technology and Computer Engineering Jurnal Nasional Komputasi dan Teknologi Informasi JURNAL IT: Media Infromasi STMIK Handayani Makassar JATI (Jurnal Mahasiswa Teknik Informatika) Indonesian Journal of Electrical Engineering and Computer Science Jifosi Nusantara Science and Technology Proceedings Djtechno: Jurnal Teknologi Informasi JoMMiT : Jurnal Multi Media dan IT JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Impresi Indonesia Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Manajemen Kreatif dan Inovasi Jurnal Penelitian Sistem Informasi ITIJ Science Information System and Technology Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Agussalim, Agussalim
Program Studi Sistem Informasi UPN "Veteran" Jawa Timur
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UI/UX Design on Digilearn Application with the Iterative Design Thinking Methodology Amalia Ristias, Arsya; Sahlan Amin, Mochamad; Agussalim, Agussalim
Information Technology International Journal Vol. 1 No. 1 (2023): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v1i1.4

Abstract

Innovations in education and learning today are followed by advances in technology. The increasing use of online information technology has encouraged educational institutions to invest in new learning technologies such as E-Learning. E-Learning is teaching and learning that is supported and developed through technology and digital media, and is also a form of the concept of distance learning or distance learning. By understanding what they are complaining about, researchers as product designers can empathize with them, so that they can define their problems perfectly, create brilliant ideas, design solutions based on ideas, and try the results of these designs on target users. Therefore, researchers learn that empathy is the key to the success of a product because in the end, the product will be used by the users that the designer has expected.
Time Series Analysis for Electricity Demand Forecasting: A Comparative Study of ARIMA and Exponential Smoothing Models in Indonesia Ilman Nugraha, Rizky; Agussalim
Information Technology International Journal Vol. 2 No. 2 (2024): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v2i2.23

Abstract

The increasing global demand for electricity, driven by rapid urbanization and industrialization, necessitates accurate forecasting models to ensure efficient energy management. This study investigates electricity consumption patterns in Indonesia from 1970 to 2022 and evaluates time series forecasting methods for predicting future demand. The models employed include AutoRegressive Integrated Moving Average (ARIMA) and Exponential Smoothing, both of which are commonly used for short-term and long-term forecasts. The dataset was collected from Indonesia's national energy statistics, and preprocessing steps were applied to ensure data quality and consistency. Model performance was assessed using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). While ARIMA captured short-term trends, Exponential Smoothing demonstrated better long-term forecasting accuracy. The results highlight the effectiveness of these models in identifying electricity consumption trends and provide insights for policymakers and energy providers in optimizing energy distribution and production. Future work may incorporate advanced machine learning models and additional external factors for improved forecasting precision.
Co-Authors -, Mardewi Abdul Latief Arda Abdul Rezha Efrat Najaf Adam Rachman, Muhammad Adelia Putri, Ledina Adian Riswandha Aisha Ramadhana Indira Santoso Ajrina, Navy Nurlyn Amalia Andjani Arifiyanti Amalia Ristias, Arsya Andi Mappatoba Ani Dijah Rahajoe Ani Dijah Rahajoe Ani Dijah Rahajoe Arisha, Zanifah Asiyanti, Adinda Priski Dhea Astuti Triana, Nani Basuki Rahmat Masdi Siduppa Brastama Putra, Agung Catur Arpal Perkasa Daris Irfan Putrawanto Dhian Satria Yudha Kartika Dhian Satria Yudha Kartika Divane Infonya Safinatunnajah Eka Mayasari Eli Nurhayati elisabet Erlangga Wicaksono, Dewa Fahmi, Ardan Fakhirah, Andi Lulu Febrianti, Ganes Dwi Firdaus, Renanda Auzan Fitri Ana Wati, Seftin Gading Indra Swari Hafshoh, Fadiyah Aulia Henni Endah Wahanani Ilham Haruna Ilman Nugraha, Rizky Intan Jauharul Makhnun Irfan Ramadhan Irwan Afandi, Mohamad Larasati Pingkan Cahya Hernita Ledina Adelia Putri Siregar Maulana, Hendra Maulidya Firdausy Al Fitri Maya Safitri, Eristya Muh. Ahlun Nazar Muhammad Hibrian Wiwi Muliadi . Pratama, Arista Prisa Marga Kusumantara Rahma, Shakila Aulia Reza Fatahillah, Muhammad Rizka Hadiwiyanti Rizki Akbar, Rizki Sahlan Amin, Mochamad Sesilia Tiara Rahayu Ada Simanjorang, Veby Pebiola Br Supriadi Sahibu Susrama Mas Diyasa, I Gede Syafruddin Syarif Tsuru, Masato Wahyu Wicaksono WAHYUNI SUSILOWATI Wahyuni, Eka Dyar Wardi Wardi Wulansari, Anita