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All Journal Teknika SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Informatika dan Teknik Elektro Terapan Scientific Journal of Informatics Paediatrica Indonesiana JTT (Jurnal Teknologi Terpadu) Jurnal CoreIT Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Informatika Universitas Pamulang Journal of Tropical Horticulture Jurnal Nasional Komputasi dan Teknologi Informasi Krea-TIF: Jurnal Teknik Informatika Jurnal Ilmiah Dikdaya Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CERIA (Cerdas Energik Responsif Inovatif Adaptif) Atfaluna: Journal of Islamic Early Childhood Education Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Medica Hospitalia Educatif: Journal of Education Research Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Jurnal Agrium Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Vokasi Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika Journal of Education Informatic Technology and Science International Journal of Engineering, Science and Information Technology Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Semah : Jurnal Pengelolaan Sumberdaya Peraira J-Intech (Journal of Information and Technology) Seulanga : Jurnal Pendidikan Anak Malcom: Indonesian Journal of Machine Learning and Computer Science The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy IJCIED Pedagogika: Jurnal Ilmu-Ilmu Kependidikan Jurnal Ilmiah Mahasiswa Agroekoteknologi Innovative: Journal Of Social Science Research Madani: Multidisciplinary Scientific Journal Jurnal Pengabdian Masyarakat Bangsa Educatif: Journal of Education Research At-Tajdid: Journal of Islamic Studies Jurnal Malikussaleh Mengabdi Proceedings Book of International Conference and Exhibition on The Indonesian Medical Education and Research Institute Jurnal Solusi Masyarakat Dikara International Journal of Information System and Innovation Management Science: Indonesian Journal of Science Journal of Business Economics and Management IJAE Eduprof
Yusra, Yusra
Universitas Islam Negeri Sultan Syarif Kasim Riau
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Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Klasifikasi Penyakit Cacar Monyet Menggunakan Metode Support Vector Machine Anugrah, Wendy; Haerani, Elin; Yusra, Yusra; Oktavia, Lola
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5149

Abstract

Monkey pox is a zoonotic disease caused by the monkey pox virus and this disease is very dangerous. Monkey pox can be detected in advance by using information contained in patient data and applying machine learning techniques. This study aims to classify monkey pox using the Support Vector Machine (SVM) method. This test is carried out using a confusion matrix by comparing the ratio of training data and test data with a ratio of 70:30, 80:20, 90:10 and using the RBF kernel. Based on the test results, the highest ratio results were obtained at 90:10 with the best accuracy value of 65% with SVM parameter testing, namely the value C= 10 and y (gamma)= 1. Based on the results of tests carried out using the Support Vector Machine method, the accuracy values ​​were quite good.
Perbandingan Performa Klasifikasi Terjemahan Al-Qur'an Menggunakan Metode Random Forest dan Long Short Term Memory Aftari, Dhea Putri; Safaat, Nazruddin; Agustian, Surya; Yusra, Yusra; Afrianty, Iis
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5156

Abstract

This study focuses on the use of the Qur'an as the primary source of Islamic teachings, aiming to facilitate Muslims' understanding of its content. To achieve this, the classification of translated Qur'anic verses was conducted. Two methods that are rarely used for Qur'anic translation data are Random Forest (RF) and Long Short Term Memory (LSTM) due to their ability to process large and complex data. The data used in this study are translations of the Qur'an that have been classified into 15 topics by previous research, but this study will only focus on 6 topics. The objective of this research is to compare the performance of RF and LSTM in classifying Qur'anic translations into 6 different categories. The results show that in the preaching category, LSTM consistently outperformed RF, with an F1-Score of 57.3% and an accuracy of 96.8%, whereas RF achieved an F1-Score of 49.4% and an accuracy of 97.5%. These findings indicate that LSTM has better performance, especially with proper preprocessing, optimal parameter tuning, and balanced data. This study provides important insights into the development of classification models for Qur'anic translation texts, highlighting the importance of proper preprocessing and parameter tuning.
Pengaruh Penyeimbangan Data Pada Klasifikasi Terjemahan Al-Quran Dengan Metode Naïve Bayes dan Long Short Term Memory Ningsih, Sulistia; Safaat, Nazruddin; Agustian, Surya; Yusra, Yusra; Cynthia, Eka Pandu
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5181

Abstract

The Al Qur'an is a holy book of Muslims which is a guide to life for all mankind. Studying and understanding the translation of the Al-Quran is not easy, one way that can be done is to classify the translation of Al-Quran verses into existing topics. This research uses Naïve Bayes and LSTM methods in the classification process. The data used comes from translation data of the Al-Quran in Indonesian which has been labeled based on multi-class classification. One of the main problems faced is data imbalance. To overcome this problem, data balancing, text preprocessing, feature construction and feature extraction processes were carried out using the Bag of Words (BoW) and TF.IDF techniques. The research results indicate that the most optimal Naïve Bayes model achieved an average accuracy of 55.39% on test data from juz 30, 61.59% on test data from juz 10-20, and 59.53% on test data from juz 25-28. Meanwhile, the most optimal LSTM model yielded an accuracy of 58.02% on test data from juz 30, 59.64% on test data from juz 10-20, and 58.59% on test data from juz 25-28. The main aim of this research is to improve classification performance and compare the accuracy between naïve Bayes and lstm.
Co-Authors - Fakhrurrazi .Safrizal, Safrizal A.G, Rosnina Achmad Fauzi Aftari, Dhea Putri Ainul Mardiah Aisyah Aisyah Akhyar, Amany Allevia Yumnanisha, Defin Alpizar Alpizar Alwis Nazir Alwis Nazir Amany Akhyar Amelia, Felina Ananda, Nuari Anang Endaryanto Anugrah, Wendy Aufa, Nurul Aulia Martha, Riejma Ayu Khairunnisa Badhawi, Badhawi Badriul Hegar Baehaqi Baidhawi Baidhawi Br Ginting, Risva Novriani Brillyandra, Fradini Caska - Christianta, David Dermawan, Jozu Desfitri, Erda Rahmilaila Dessi Mufti, Dessi Dewanto, Naomi Esthernita Fauzia Deya Inge Kanaya, Mahesa Dina Septiawati Dwitama, Raja Zaidaan Putera Efendi, Yempita Eka Pandu Cynthia Eka Pandu Cynthia, Eka Pandu El Saputra, Yoga Elin Haerani Elvia Budianita Emir Ramon Erlidawati Erlidawati Ethika, Ethika Fadhil, Muflihul Fadhilah Syafria Faruqi, Muhammad Fatima Safira Alatas, Fatima Safira Febi Yanto Fitri Insani Futhira, Nadia Giantini, Astuti Gusti, Siska Kurnia Hafifah, Hafifah Halim Akbar, Halim Hamzah, Zulfadli Hanif, Wan Muhammad Hasanah, Rakiyatul Hastriana, Kiki Hayati Hendrival Hendrival Herlinda Herlinda, Herlinda Heru Aulia Azman Hidayat, Rizki Iis Afrianty Indah Aida Sapitri Indrasari, Nuri Dyah Indrizal, Habibi Putra Irianti Handayani, Supri Irmayunita, Irmayunita Ismadi Ismadi Jasril Jasril Jeki Dwi Arisandi Jufri Jufri Junianti, Fitri Kamaruddin Kamaruddin Khusrizal Khusrizal Kumalawati, July Laila Nazirah Lestari Handayani Lola Oktavia Lola Oktavia Luh Kesuma Wardhani M. Nazaruddin, M. Maqbul, Maqbul Maria Ulfah Marindra, Zulfah Amaliya Marjuah, Hilmiyah Maulana, Muhammad Rizky Mawardati Mawardati Maya Safitri Mohd Andalas Muh. Darwis Muhammad Aris Muhammad Chairuddin, Muhammad Muhammad Fikry Muhammad Fikry Muhammad Irsyad Muhammad Muaz Munauwar MUHAMMAD YUSUF Mukramin, Mukramin Muliana, Muliana Munawar Munawar N, Mutiara Nafisah Nafisah Nalatirrizqa, Nalatirrizqa Nani Cahyani Sudarsono Nani Cahyani Sudarsono Nasruddin Nasruddin Nasrullah, Muh. Nazir, Alwis Nazruddin Safaat Nazruddin Safaat H Nilahayati Novi Yanti Novrianto Novrianto Novriyanto Novriyanto Nuraina, Nuraina Nurhardini, Tammy Nurhayati Nurhayati Nurmansyach, Febianto Nurul Jannah Okfalisa Okfalisa Oktavia, Lola Paembonan, Solmin Pambudi, Wiyarni Pangestu, Natasha Pattiasina, Firensca Permana, Febrian Pizaini Pizaini Priyanto Priyanto Putri, Raysa Jayu Putri, Sindy Gemaeka Rachma Perdani, Wahyu Rahmat Rizki Hidayat Ramadanu Putra Ramadhani, Siti Randa Fajar Saputra Ranggayoni, Russy Rd. Selvy Handayani Reski Mai Candra Retno Asti Werdhani Rinaldi Syarfianto Riska Eka Putri, Riska Eka Sabar, Muhammad Saputra, Elvino Dwi Saputra, Randa Fajar Sari, Anggi Novita Sari, Dwhy Dinda sari, Mutia Saude Saude Shelviana, Zeni Fransisca Sidik Sidik Siti Nurbaya Sri Suryo Adiyanti, Sri Suryo Sukawati, Farha Sulistia Ningsih, Sulistia Surya Agustian Suryadi Suryadi Suryadi, Nanda Sutarno, Maryati Suwanto Sanjaya Suzana Ana Suzanna Immanuel Syahpawi Syahpawi Syahrial, Murah Syaifuddin Syaifuddin syavitri, suci Taufik Hidayat Tiara Dwi Arista Tjahjadi, Ricky Trian Zulhadi Ubadah Ubadah, Ubadah Umi Fahmida Uswatun Hasanah Vitriani, Yelvi Wini, Lusia Oktri Wirdiani, Putri Syakira Yani, Susmi Syahfrida Yasmin, Aina Yelvi Fitriani Yelvi Fitriani Yolanda, Khovifah Yuanda, Ayi Riska Yuda Zafitra Fadhlan Yudhistira Yudhistira Zikri, Muhammad Afzalul Zulfani Sesmiarni Zurrahmi Wirda