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All Journal Jurnal Teknologi JTT (Jurnal Teknologi Terpadu) SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Masyarakat Merdeka (JMM) Jurnal Perspektif JRTI (Jurnal Riset Tindakan Indonesia) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Soft Computing Exploration Jurnal Ilmiah Wahana Pendidikan Djtechno: Jurnal Teknologi Informasi Edumatika Jurnal Ilmiah Mahasiswa Fakultas Hukum Universitas Malikussaleh EduMatika: Jurnal MIPA Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Mandiri Southeast Asian Journal of Technology and Science Technologica Prosiding Seminar Nasional Pendidikan Matematika, Universitas Mulawarman QISTINA: Jurnal Multidisiplin Indonesia Journal of Informatics and Data Science (J-IDS) Jurnal Malikussaleh Mengabdi Krigan: Journal of Management and Sharia Business International Journal of Computer Science and Information Technology
Arnita Arnita
Universitas Bung Hatta
Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Journal : Journal of Soft Computing Exploration

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Implementation of text summarization on indonesian scientific articles using textrank algorithm with TF-IDF web-based Sihombing, Jeremia Jordan; Arnita, Arnita; Al Idrus, Said Iskandar; Niska, Debi Yandra
Journal of Soft Computing Exploration Vol. 5 No. 3 (2024): September 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i3.475

Abstract

The development of information technology has significantly changed how information is accessed, necessitating readers to absorb content efficiently and make quick decisions. To address this challenge, this research developed a text summarization system specifically for Indonesian scientific articles using a web-based implementation of the TextRank and TF-IDF algorithms. TextRank was selected for its capability to identify key sentences without requiring training data, while TF-IDF was employed to weight words based on their frequency within the document. The dataset comprised 100 scientific articles in Indonesian from the Unimed Kode Journal, covering the years 2022-2024. The summarization process included several critical stages: text preprocessing, TF-IDF weighting, cosine similarity calculation, and sentence ranking. The resulting summaries were rigorously evaluated by language experts and website specialists using a Likert scale to assess both the quality of the summaries and the usability of the system. The findings demonstrated that the system effectively generated summaries that retained essential information from the original articles, with the highest accuracy observed at a 50% compression rate (88.533%). Additionally, the system achieved good performance at 40% compression (85.133%) and 30% compression (81.26%). The web-based system allows users to input article text and quickly obtain a summary, offering a practical tool for researchers and readers to efficiently comprehend academic content.
Comparison of supervised machine learning methods in predicting the prevalence of stunting in north sumatra province Saragih, Vinny Ramayani; Arnita, Arnita; Indra, Zulfahmi; Taufik, Insan; Sinaga, Marlina Setia
Journal of Soft Computing Exploration Vol. 5 No. 4 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i4.498

Abstract

Stunting is a growth and development disorder in children caused by chronic malnutrition and repeated infections. Stunting has significant short- and long-term impacts and is one of the major health issues currently faced by Indonesia. The prevalence of stunting in North Sumatra Province is 18.9%, and the provincial government aims to reduce this prevalence to 14% by 2024. This study aims to compare the performance of several supervised machine learning methods in predicting stunting prevalence in North Sumatra Province. The data used is secondary data from 2021 to 2023, covering 33 districts/cities in the province. This study evaluates three machine learning models: Support Vector Regression (SVR), Decision Tree, and Random Forest, using evaluation metrics such as Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). The analysis results show that Random Forest provides the most accurate and consistent predictions, with lower MSE, MAE, RMSE, and MAPE values compared to the other models in most areas. Decision Tree yields good results in some regions but tends to produce higher errors in certain cases. SVR exhibits a more varied performance, with some regions showing higher prediction errors. Overall, Random Forest is the superior model for predicting district/city-level data, although model selection should be tailored to the data characteristics and application needs
Co-Authors Abadi Simanullang, Paskah Advis Ambrosius Sitohang, Yuda Agus Waruwu, Stefen Ahmad Naufal, Ahmad Alfin, Muhammad Amalia, Seila Amanah, Fadilla Amelia Br Siregar, Ririn Amelia Vega S. Meliala, Ruth Ananda Hafika, Rizky Anastasya Carity S, Disty Andari, Arnis Wulan Anfadi, Farid Ariatna Asmin Asmin, Asmin Asyri, Al Aulia, Windy Banjarnahor, Riski Melanton Barus, Emya Lavigana Budi Akbar, Muhammad Budi Sunaryo, Budi Bush Henrydunan, John Chairunisah Chairunisah, Chairunisah Damayanti, Elok Defiyanti, Aqilah Dessi Mufti, Dessi Diah Retno Wahyuningrum Dian Septiana DIdi Febrian Dly, Revidamurti Dobry Sianipar, Freyro Domini, Gracia Edy Surya Effendy, Fachriz Eko Gani PG Eri Widyastuti Fitria, Amanda Hadi Iskandar Hafiz, Alfin Haikal Al Majid, Muhammad Hanafi, Revo Hasangapon Perapat, Gerhard Herinawati, Herinawati Herinawaty, Herinawaty Hidayat Hidayat Hidayatul Arifin, Muhammad Hidayatullah, Putra Hutapea, Risca Octaviyani Hutasuhut, Addiestya Rosa Illahi, Ridho Pratama Impana Manik, Kristin Insan Taufik Irya Shakila Syukron, Ananda Jamidi, Jamidi John Pardamean Hutabarat, Felix Juli Rachmadani khatulistiwa, jamrud Khoiri Nasution, Aurela Kuraini, Atifa Nuzulul MANSUR AS Manullang, Sudianto Marpaung, Faridawaty Mirzazoni, Mirzazoni Muhammad Nasir Muhibuddin Muhibuddin, Muhibuddin Muthmainnah, Inna Nabila, Rinjani Cyra Nasuiton, Aurella Nasution, Muhammad Dana Ananda Putra Nisja, Indra Niska, Debi Yandra Nulhakim, Putri Aisyah Nur Aksa, Fauzah Nuribadah, Nuribadah Parapat, Gerhard Hasangapon Payana, Sandi Dwi Prang, Amrizal J. Rahmatillah, Rahmatillah Ramadhan Manik, Albert Ramadhan, Teguh Reskya Ramadhani, Fanny Ramdhani, Fanny Ridal, Yani Rika, Rika Rinawati Riska Amelia Romi Asmara Rumahorbo, Daniel Rumapea, Kiki Nurpitasari Said . Iskandar Saragih, Vinny Ramayani Sihombing, Jeremia Jordan Silalahi, Niken Adelina Silfitri, Yunia Simamora, Elmanani Sinaga, Marlina Setia Siregar, Latifah Sitohang, Daniel Sitorus, Gabriel Fernando Sri Dewi Sri Mulyana Sriwahyuni, Yeni Sulaiman Sulaiman Suryani, Nita Syahri, Alfin Syifa Cendikia, Yolanda Tampubolon, Josua Deo Tarigan, Febry Vista Kristen Tri Widya Kurniasari tumangger, silfia Tymoty Hutabarat, Peter Wahyu Pratama, Rangga Wahyudi, Rizky Warjaya, Angga Yazid Noor, Muhammad Yulita Molliq Rangkuti Zoni, Mirza Zulfadli Zulfadli Zulfadli Zulfadli Zulfahmi Indra, Zulfahmi