Optimizing Aspect-Based Sentiment Analysis Using BERT for Comprehensive Analysis of Indonesian Student Feedback by Ahmad Jazuli, Widowati, Retno Kusumaningrum

“…This study develops an aspect-based sentiment analysis (ABSA) model using IndoBERT, a pre-trained model tailored for the Indonesian language. The research uses 10,000 student reviews from Indonesian universities, processed through data labeling, text preprocessing, and splitting, followed by model training and performance evaluation. …”
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AN ANALYSIS OF RHETORICAL MOVE AND TRANSLATION TECHNIQUES IN UNDERGRADUATE THESIS ABSTRACTS WRITTEN IN TWO LANGUAGES by Zalinda Salsabilla Firdausyiah, Budi Hermawan, Dian Dia-an Muniroh

“…This study used 60 undergraduate thesis abstracts from English Language and Literature and Indonesian Language Literature study programs as the data. …”
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The implementation of TPS (think pair share) cooperative learning model aided by Google hangouts in literary expression course by Fina Hiasa, Supadi Supadi, Nafri Yanti

“…This study aims to determine how the application of the TPS (Think-Pair-Share) type of cooperative learning model assisted by Google Hangout can improve the quality of learning in seventh semester students of the Indonesian Language Education Study Program, FKIP UNIB, in the Literary Expression course. …”
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THE COMPARISON BETWEEN STRUCTURAL PARTICLE “地” IN MANDARIN AND STRUCTURAL PARTICLE “DENGAN” ATAU “SECARA” IN INDONESIAN by Elvira Septevany, Liu Dandan, Qin Weifen, Lu Xing

“…The “地” marker in Mandarin can only corresponds to the adjective word class while the Indonesian language is more flexible because the structural particle “dengan” or “secara” can match the adjective, verb, noun, or adverb word class. …”
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Development and validation of the Quran – Science, Technology, Engineering, Art, And Mathematics (Q-STEAM) module by Muzakkir, Rose Amnah Abd Rauf, Hutkemri Zulnaidi

“…Ten experts, who are specialists in the domains of mathematics education, STEAM education, Islamic education, and Indonesian language, assessed the module. The assessment resulted in high validity scores, where the results indicated that the content validity index for the Q-STEAM module falls within the range of 83–100%. …”
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THE LINGUISTIC ADAPTION IN AN IMMIGRANT LANGUAGE SETTING IN MAKASSAR, INDONESIA by Andi Samsu Rijal, Andi Mega Januarti Putri, Sulviana Sulviana

“…In their early presence that immigrants used English (Eng) and Indonesia language (IL) formally to communicate with IOM staff, UNHCR staff, among immigrants, teachers and social workers, but when they have access to live longer in Makassar, they interact with Makassar people freely and they use various languages such as Makassar language (ML), Indonesian language by Makassar Malay language (MML) dialect known as trade Malay language, or sometimes used English as their language code choice. …”
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Rasch Rating Scale Model: Bias Detection and Validation Test of Indonesian-Adolescent Life Satisfaction Scale by Yonathan Natanael, Rahmaditya Salsabilla, Denisa Aulia, Dwi Khoirunnisa, Husna Nursaid Munawar, Nada Salsabila Hidayat, Romi Faizal Firdaus

“…Therefore, this research aims to develop and validate a life satisfaction instrument in the Indonesian language which is new and undetected by gender bias. …”
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The Impacts of the Analysis, Debate, and Finding Models on Learning Natural Sciences by Apdoludin Apdoludin, Megawati Megawati, Randi Eka Putra, Dodi Harianto, Wiwik Pudjaningsih, Elfa Eriyani

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An Analysis of Students’ Difficulties in Comprehending Report Text at the Eleventh Grade of SMA Swasta Islam Terpadu Daar Al Uluum Kisaran by Susi Masniari Nasution, Anisa Sapitri, Rafika Muspita Sari

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Karandu (Gong): History, Functions, and Symbols in the Life of the Tolaki People in 17th -20th Century Southeast Sulawesi by Akhmad Marhadi, Syahrun Syahrun, Basrin Melamba, Marwati Marwati, Hayari Hayari

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Agroforestry lexicon in Manggarai language: an effort to revitalize culture and empower indigenous peoples by Salimulloh T. Sanubarianto, Mardiyono, Akmal, Yurika F. Wardhani, Mochammad T. Atmodjo, Deden G. Nugraha, Kaprawi Rahman, Maria Rosalinda Talan, Magfirotul Hamdiah, Agik Nur Efendi, Abdul Rahman Arsyad, Sukardi, Rahmi Winangsih, Hilmannur Badruzaman

“…Participatory observation of their farming life, in‑depth interviews, and targeted elicitation yielded 253 agroforestry‑related lexicons absent from the Indonesian language. These lexicons fall into three categories: (1) nouns for agroforestry plants, (2) nouns for agroforestry tools, and (3) verbs for agroforestry stages. …”
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Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

“…Most of the sentiment analysis on the Indonesian language Twitter dataset relies on a single machine learning algorithm. …”
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Teknologi Opinion Mining untuk Mendukung Strategic Planning by Dwi Rolliawati, Khalid Khalid, Indri Sudanawati Rozas

“…This study uses 4009 Indonesian language sample data taken from public opinion on Twitter social media in the past two years (2017 - 2018). …”
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Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia by Antonius Angga Kurniawan, Metty Mustikasari

“…This research uses MLlib Apache Spark to classify fake news in Indonesian language with 1786 data that were obtained from fake news and fact provider sites, TurnBackHoax.id. …”
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Madurese language is a local language used by Madurese and has a similar morphology as Indonesian language. Part-Of-Speech Tagging research on Madurese language using Viterbi algorithm, consists of 3 processes, which are training and testing corpus pre-processing, training the corpus by Hidden Markov Model, and tag classification using Viterbi algorithm. …”
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Form of Communication for Teaching Bajo Children The Local Values in Utilizing Natural Marine Resources by La Ode Jumaidin, Irawati Irawati, Sumiman Udu, Hasddin Hasddin, Osu Oheoputra Husen

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Analisis Perbandingan Algoritma Machine Learning dan Deep Learning untuk Klasifikasi Citra Sistem Isyarat Bahasa Indonesia (SIBI) by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…They can only communicate through sign language, one of which is the Indonesian Language Sign System or Sistem Isyarat Bahasa Indonesia (SIBI). …”
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Pengelompokan Hasil Pencarian Skripsi Berbahasa Indonesia Menggunakan Metode DBSCAN dengan Pembobotan BM25 by Rangga Adi Satria, Indriati Indriati, Sutrisno Sutrisno

“…In order to cluster the search results of Indonesian language thesis, using the title and abstract of the thesis, BM25 word weighting and DBSCAN clustering were used, a clustering method that considers the document sample density point. …”
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Identifikasi Pengaruh Pandemi Covid-19 terhadap Perilaku Pengguna Twitter dengan Pendekatan Social Network Analysis by Diana Purwitasari, Apriantoni Apriantoni, Agus Budi Raharjo

“…This data used is Indonesian-language tweets. This research used a Social Network Analysis (SNA) to determine the main actors and famous actors. …”
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Informasi Dini Terhadap Penyakit Kanker Payudara berbasis Telepon Pintar by Hesti Lina Wiraswati, Savira Ekawardhani, Sarasati Windria, Arina Al Khaq, Fauzia Nurfitri, Dini Wahyuni, Nadya Rachmawati, Rusdi Toriq Baasin, Annissa Retno Arimdayu, Annisa Retno Arimdayu

“…Conclusion: "Be Care" app is considered feasible to be used in increasing knowledge, awareness, and skills related to early detection of breast cancer. This Indonesian language app with “free access” is expected to be one of the effective media contributing to reducing the number of new cases and death due to cancer. …”
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