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Journal : Journal of Information Technology and Computer Engineering

Otomatisasi Pengoperasian Alat Elektronik Berdasarkan Hasil Prediksi Algoritma Long Short Term Memory Afriansyah, Afriansyah; Irawan, Ade
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 02 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.02.83-89.2020

Abstract

Excessive use of household electricity is one of the causes of the largest amount of national electricity consumption coming from households. One way to reduce the amount of household electricity consumption is to automate the operation of electronic devices. This research proposes utilizing Long Short Term Memory (LSTM) algorithm to predict the habit of operating an electronic device. The prediction is then applied to automate the operation of that by exploiting the time series data from the usage. A series of experiments are conducted to capture the data of operating a manual lamp. Then, an LSTM model is built by training the data. The experiment results show the prediction accuracy of 99,28% and Root Mean Square Error of 0,091. Furthermore, the LSTM model is used to automatically operate a lamp in a month. The electricity cost from the automation is 36,38% lower than the manual.
Prediksi Energi Listrik Kincir Angin Berdasarkan Data Kecepatan Angin Menggunakan LSTM Andiyantama, Muhammad Qubaisy; Zahira, Iffah; Irawan, Ade
JITCE (Journal of Information Technology and Computer Engineering) Vol. 5 No. 01 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.1-7.2021

Abstract

Fossil energy is well known as the most energy resource consumed by humans. However, the exploitation leads to damage both in the process of taking raw materials and in the use of those. Furthermore, the amount has become decreasing nowadays. Renewable energy could solve the energy crisis. One kind of renewable energy that has been successfully used by a human is by utilizing wind turbines. However, there are still many problems in its implementation and usage. One of the problems is the unstable generated electricity that is caused by instability of the wind speed. Inappropriate plans for utilizing wind turbines in such areas with varying wind speed could harm renewable energy investment. Therefore, forecasting the wind speed is necessary to anticipate the stability and embrace optimal produced energy. This study proposes the Long Short Term Memory (LSTM) algorithm to predict the generated energy by using the wind speed dataset. Thus, wind turbines can be utilized effectively and efficiently in the right area with sufficient average wind speed.
Evaluating IndoGPT for Legal Queries: A Benchmark Against GPT-4 Models Palupi, Ade Cahyaning; irawan, ade
JITCE (Journal of Information Technology and Computer Engineering) Vol. 9 No. 2 (2025): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

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

Abstract

This study evaluates a chatbot developed with the Large Language Model (LLM) IndoGPT, focusing on its use of Retrieval-Augmented Generation (RAG) to answer questions about university regulations from legal PDF documents in the Indonesian Language. IndoGPT's performance is benchmarked against the more advanced models, GPT-4 and GPT-4o. The chatbot combines RAG techniques with the LangChain framework, and its effectiveness is assessed using the Retrieval-Augmented Generation Assessment (RAGAS) framework. The dataset includes publicly available legal documents from Universitas Pertamina, with test data created by the authors. IndoGPT consistently underperforms compared to GPT-4 and GPT-4o. GPT-4 achieves superior metrics with Context Precision at 0.9027, Context Recall at 0.8693, Faithfulness at 0.8486, and Answer Relevancy at 0.8142. Similarly, GPT-4o delivers strong results with Context Precision at 0.8896, Context Recall at 0.8594, Faithfulness at 0.8804, and Answer Relevancy at 0.8773. In contrast, IndoGPT shows significant deficiencies, with much lower scores: Context Precision at 0.6687, Context Recall at 0.5711, Faithfulness at 0.0738, and Answer Relevancy at 0.1628. These findings highlight IndoGPT's substantial limitations, especially when compared to GPT-4 and GPT-4o, which excel in providing accurate, contextually relevant answers. The GPT-4-based chatbot demonstrates strong capabilities in understanding user queries and delivering accurate responses while effectively reducing hallucinations through the RAG technique.
Co-Authors Abdillah Abdillah Abubakar Idham Madani Adinata, Surya Adriani , Dhiva Afrian Al-Haritz, Rafi Afriansyah Afriansyah Afrizal, Rikki Agusli, Rahmat Agustina Ahmad Saputra, Fahim Alamsah, Reza Nur Andiyantama, Muhammad Qubaisy Angelia Regina Dwi Kartika Angeline Safitri, Karin Anwar, Mahfud Ariana Yunita Asliah Zainal, Asliah Astina, Dina Aswatul, Muh Aulia, Diva Ayu Puspitasari, Ayu Chitra Hermawan Darmawan, Muhammad Redho Denny Nurkertamanda Dermana, Iwayan Difta Rahmatika, Siti Ebelaristra, Prinsislamsheeny Brilliantdianty Efriani, Like Erwin Setiawan, Erwin Fadillah, Aulia Nur Indri Fadillah, Riestiya Zain Fadli, Rizki Faisal Anwar Farani, Firly Aulia Farse, Fitra Andika Fatin, Niky Amira Fauzobihi, Fauzobihi Fermana, Randi Gusmulyani Hadi, Ismanurrahman Hamid, Aceng Abdul Haq, Mailatul Ilal HARI PURNOMO Hendro Setyono Herman Yuliyanto Ida Suryani Wijaya Imam Hanafi Irawan, Lutfi Iskandar, Yelita Anggiane Joko Setiyono Karimah, Fitri Kumalasari, Diyanah Laia, Lisapna Lestary, Desy Littu, Herlina Madrinovella, Ikri Mahachandra, Manik Maloka, Putri Ajeng Mansor, Khaeron Maulana, Muhammad Rafli Meliana, Risma Mika Patayang, Mika Muhammad Erwin muhammad rizky, muhammad Nabila Noor Qisthani Nabila, Nabila Nadzar Darmawan, Muhamad Najib, Mohamad Khoirun Nanik Sulistyani Naresti, Aulia Nasution, Fadly Ahmad Kurniawan Normansyah, Muhammad Dzaky Novalianda, Sari Nur Azizah, Rafida NUR HASANAH Nur Rohmat Nur'arofah, Zilya Rizki Nurafni, Melia Nuridah, Siti Nurluthfiana, Deby Nurselvi, Nurselvi Nurselvy, Nurselvy Ola, Rosita Ruslin Ina Palupi, Ade Cahyaning Prabaswari, Atyanti Dyah Priliyanabita, Gesha Pura, Margo Hadi Purnama, Muhamad Rifki PURWANTI PURWANTI Putra, Teguh Adiyas Putri, Emy Setiawati Melati Putri, Emy Setyawati Melati Qadar Hasani Rahman, Ahmad Fauzan Rahmatika, Siti Difta Ramadhan, Zhafran Ratnasari, Eka Retyaningsih, Retyaningsih Riadi, Farid Rida, Rizkha Rivaldo, Rivaldo Riyano, Hendiko Rama Riyanto, Didik Rizki, Kiki Nur Rony, Zahara Tussoleha Rosida, Siti Ayu RR. Ella Evrita Hestiandari Rurianti, Dwi Visti Safitri, Luviana Nur Sagitarius, Elda Sahrul, Sahrul Salsabilla, Fitra Nuvus Sandi, Handi Ari Sari, Amarria Dila Sari, Desi Amaliyah Arum Sarjani, Tri Mustika Septyowati, Inna setyowati, agustina dyah Shinta Kusumaningtyas, Dyah Simbolon, Kiki Tristiawanti Siti Aisah Siti Suryani Sri Mulyani Sri Nurdiati Sugeng Riyanto Sulaiman, Davi sulanjari sulanjari, Sulanjari Susanty, Meredita Sutarman Sutarman Tamirsyah, Haniyah Taruna, Riyan Thomas Afrizal, Thomas Triyanto, Joko Tuzzahra, Fatimah Ulfah, Mariam Vikaliana, Resista Weny Astuti Wicaksana, Ilyas Rasyid Widayanti, Wiwin Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Wiratansa, Umar Wiwik Handayani Yahanan Yahanan Yahya, Shanty Yamin, Muhamad Miftahul Yanti, Pirda Yaqin Yusup, Moh Ainul Yosminaldi, Yosminaldi Yulianti, Dara Puspita Yunita, Fina Yusuf Arifin Zahira, Iffah Zahrotun Nisa, Zahrotun Zega, Felitusu Zubaedah, Laily Maknin Zulfikar Judge