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Yusra, Yusra
Universitas Islam Negeri Sultan Syarif Kasim Riau
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Journal : Bulletin of Computer Science Research

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Klasifikasi Sentimen Bitcoin Terhadap Komentar Di Aplikasi X Menggunakan Metode Decision Tree C4.5 Indrizal, Habibi Putra; Syafria, Fadhilah; Haerani, Elin; Vitriani, Yelvi; Yusra, Yusra
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.932

Abstract

Sentiment analysis is an important method for understanding user perceptions of cryptocurrency assets such as Bitcoin, whose price movements are strongly influenced by public opinion. This study aims to classify user sentiment from comments posted on the X platform into two classes, namely positive and negative, using the Decision Tree C4.5 algorithm. The dataset consists of 5,000 Indonesian-language comments collected through a web scraping process and processed through text preprocessing and TF-IDF–based feature extraction. The model was trained using a 70% training data and 30% testing data split. The evaluation results show that the C4.5 model achieved an accuracy of 78%. For the positive class, the model obtained a very high recall of 0.99 with an F1-score of 0.83, indicating strong performance in identifying positive comments. In contrast, the negative class achieved a recall of 0.51 with an F1-score of 0.67, despite having a high precision of 0.97. The disparity in performance between classes is influenced by the data distribution, which is not fully balanced, with positive comments being more dominant than negative ones, causing the model to be more sensitive to the majority class. Overall, the results indicate that the Decision Tree C4.5 algorithm is sufficiently effective for Indonesian-language Bitcoin sentiment classification, although it still has limitations in recognizing the minority class. Future research may explore the application of data imbalance handling techniques or more advanced algorithms to improve the balance of classification performance across classes.
Implementasi Metode RBMT dalam Penerjemahan Bahasa Indonesia ke Bahasa Makassar Hanif, Wan Muhammad; Yusra, Yusra; Muhammad Fikry; Febi Yanto; Siska Kurnia Gusti
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.935

Abstract

?This research was conducted to address the limited availability of linguistic resources for regional languages, particularly Makassar Language, which does not yet have adequate automatic translation support. The main problem addressed in this study is the absence of a reliable automatic translation system for Makassar Language. The objective of this research is to apply a rule-based translation method to translate text from Indonesian into Makassar Language. This study focuses on the implementation of the Rule-Based Machine Translation (RBMT) method for translating Indonesian text into Makassar Language using the Python programming language. The RBMT implementation involves tokenization, morphological analysis, vocabulary matching, and the application of grammatical rules, including the identification of prefixes and suffixes. The data used consist of a bilingual dictionary compiled from various sources and a set of test sentences representing everyday sentence structures. Translation evaluation was carried out using the Word Error Rate (WER) method, yielding a result of 0.289, and the Character Error Rate (CER) method, with a result of 0.21, which fall into the “Good” category based on the evaluation scale. The main findings indicate that the application of the RBMT method is capable of producing reasonably accurate translations at both the word and character levels. These findings demonstrate that a rule-based approach can be effectively applied to regional languages with limited digital data and provide an initial overview of the potential use of rule-based methods to support the development and preservation of regional languages.
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