Showing 241 - 260 results of 271 for search '"Indonesians"', query time: 0.05s Refine Results
  1. 241

    Pendekatan Ensemble untuk Analisis Sentimen Covid19 Menggunakan Pengklasifikasi Soft Voting by Nova Agustina, Candra Nur Ihsan

    Published 2023-04-01
    “…The application of Soft Voting for the analysis of Indonesian public's sentiments towards Covid19 is a novelty in this research. …”
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    Article
  2. 242

    Automated Essay Scoring Menggunakan Semantic Textual Similarity Berbasis Transformer Untuk Penilaian Ujian Esai by Kharisma Ayu Pradani, Lya Hulliyyatus Suadaa

    Published 2023-12-01
    “…In this study, the method proposed to calculate the semantic similarity of Indonesian text between essay answers and answer keys is a model based on the Transformer BERT. …”
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    Article
  3. 243

    Analisis Kinerja Sistem Informasi Dewan Perwakilan Rakyat Republik Indonesia Berdasarkan Persepsi Masyarakat Menggunakan Metode Heuristics Evaluation by Alfriyanto Nahas, Hustinawati

    Published 2023-10-01
    “…Abstract As a form of implementing e-government and efforts to improve service quality, the House of Representatives of the Republic of Indonesia (DPR RI) utilizes its official website as a medium for publication and documentation of DPR RI activities to the Indonesian people. The existence of the official website of the DPR RI at dpr.go.id is expected to facilitate the public in accessing information. …”
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    Article
  4. 244

    Aplikasi Jurnal Harian Covid-19 untuk Pemantauan Isolasi Mandiri (PISOM) by Mutiara Anggun, Margaretha Amanda, Tri Ahmad Sandi, Rinto Priambodo

    Published 2022-08-01
    “…Since March 2020 the Indonesian government has declared Covid-19 a national disaster. …”
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  5. 245

    Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN) by Muhammad Yuslan Abu Bakar, Adiwijaya Adiwijaya

    Published 2021-10-01
    “…This research builds a system that can classify Bukhari hadith in Indonesian translations. This topic was raised to meet the needs of Muslims in knowing what information about the suggestions and prohibitions that exist in a hadith. …”
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    Article
  6. 246

    Klasifikasi Jenis Ikan Laut K-Nearest Neighbor Berdasarkan Ekstraksi Ciri 2-Dimensional Linear Discriminant Analysis by Yusraka Dimas Al Iman, R Rizal Isnanto, Oky Dwi Nurhayati

    Published 2023-08-01
    “…There are 27,000 fish in the world that have been successfully described, especially in the Indonesian seas. Fish is one of the biological diversity that makes up the marine ecosystem. …”
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  7. 247

    Pengembangan Sistem Pemantauan Sentimen Berita Berbahasa Indonesia Berdasarkan Konten dengan Long-Short-Term Memory by Dewi Yanti Liliana, Nadia Nurul Hikmah, Maykada Harjono

    Published 2021-10-01
    “…This requires the development of an automatic online news sentiment classification system for monitoring Indonesian news. Machine learning-based automatic classification systems are carried out by building a learning model from a news corpus originating from news sites. …”
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    Article
  8. 248

    Klasifikasi Laporan Keluhan Pelayanan Publik Berdasarkan Instansi Menggunakan Metode LDA-SVM by Muhammad Alkaff, Andreyan Rizky Baskara, Irham Maulani

    Published 2021-11-01
    “…The Government has used the Government for a long time to answer the problems of the Indonesian people related to bureaucratic problems. …”
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  9. 249

    Penerapan Metode Simple Additive Weighting dalam Pemeringkatan Kinerja Keuangan Perusahaan Sektor Teknologi yang Terdaftar di Bei by I Made Satya Sundara, I Gst. Agung Pramesti Dwi Putri, I Nyoman Yudi Anggara Wijaya

    Published 2023-10-01
    “…However, despite this growth in the number of investors in the capital market, the level of financial literacy among the Indonesian population in 2022 is only 49.68%, indicating that the understanding of financial issues among individuals is still relatively low. …”
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    Article
  10. 250

    Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur by Fajar Delli Wihartiko, Sri Nurdiati, Agus Buono, Edi Santosa

    Published 2021-02-01
    “…The contribution of this research includes the latest research positions and future research proposals taking into account the conditions of Indonesian agriculture. The research position is dominated by the research community from countries in Asia such as India (33%), Pakistan (33%), China (14%) and Korea (14%). …”
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    Article
  11. 251

    Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine by Natasya Eldha Oktaviana, Yuita Arum Sari, Indriati Indriati

    Published 2022-02-01
    “…So to minimize the spread of COVID-19, the Indonesian government has set one policy in online learning/lectures. …”
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  12. 252

    Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

    Published 2022-10-01
    “…Most of the sentiment analysis on the Indonesian language Twitter dataset relies on a single machine learning algorithm. …”
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  13. 253

    Teknologi Opinion Mining untuk Mendukung Strategic Planning by Dwi Rolliawati, Khalid Khalid, Indri Sudanawati Rozas

    Published 2020-02-01
    “…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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    Article
  14. 254

    Easy Data Augmentation untuk Data yang Imbalance pada Konsultasi Kesehatan Daring by Anisa Nur Azizah, Misbachul Falach Asy'ari, Ifnu Wisma Dwi Prastya, Diana Purwitasari

    Published 2023-10-01
    “…Our work investigates the Easy Data Augmentation (EDA) algorithm, which is sentence paraphrase-based in the OHC texts that often in non-formal sentences by using techniques of synonym replacement (SR), random insertion (RI), random swap (RS), and random deletion (RD). We employ the Indonesian thesaurus for changing synonyms in the EDA and do empirical experiments on parameters required by the algorithm to obtain optimal results of text augmentation. …”
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  15. 255

    Critical Success Factor Proyek TI: Studi Kasus Mobile Government by Ikhsan Triadi Syaputra, Teguh Raharjo, Bob Hardian, Tiarma Simanungkalit

    Published 2023-04-01
    “…Abstract   XYZ Supervisory Institution is one of the Indonesian government agencies that is carrying out digital transformation. …”
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  16. 256

    Pemanfaatan Aplikasi Pengiriman Makanan Pasca Penurunan Level Pembatasan Kegiatan Masyarakat Akibat Covid-19 Di Indonesia by Wan Ahmad Gazali Kodri, Dwiza Riana, Sri Hadianti

    Published 2023-07-01
    “…The decrease in the number of COVID-19 cases has caused the Indonesian government to lower the level of Enforcement of Restrictions on Community Activities (PPKM) so that people can return to common social activities. …”
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  17. 257

    Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia by Antonius Angga Kurniawan, Metty Mustikasari

    Published 2022-06-01
    “…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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  18. 258

    POS Tagging Bahasa Madura dengan Menggunakan Algoritma Brill Tagger by Nindian Puspa Dewi, Ubaidi Ubaidi

    Published 2020-12-01
    “…The reason for using Brill Tagger is because it is the algorithm that has the best accuracy when implemented in English, Indonesian and several other languages. The experimental results with Brill Tagger show that the average accuracy without OOV (Out Of Vocabulary) obtained is 86.6% with the highest accuracy of 86.94% and the average accuracy for OOV words reached 67.22%. …”
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  19. 259

    Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

    Published 2021-10-01
    “…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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  20. 260

    Penerapan Metode Association Rule Mining untuk Asosiasi Ulasan Terhadap Aspek Tempat Wisata Jawa Timur Park 3 by Aisyatul Maulidah, Fitra A. Bachtiar

    Published 2021-10-01
    “…In this study, there are 1067 reviews of the visitors in Indonesian from January to April 2019 as the data. The data is classified into 8 aspects based on predetermined keywords. …”
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