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All Journal Prosiding Seminar Nasional Teknoka Jurnal Linguistik Komputasional Jurnal Computer Science and Information Technology (CoSciTech)
Mia Kamayani
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Computer Science & IT Engineering

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Perkembangan Part-of-Speech Tagger Bahasa Indonesia Mia Kamayani
Jurnal Linguistik Komputasional Vol 2 No 2 (2019): Vol. 2, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.313 KB) | DOI: 10.26418/jlk.v2i2.20

Abstract

Tujuan dari artikel ini adalah membuat kajian literatur terhadap metode pelabelan part-of-speech (POS tagger) untuk Bahasa Indonesia yang telah dilakukan selama 11 tahun terakhir (sejak tahun 2008). Artikel ini dapat menjadi roadmap POS tagger Bahasa Indonesia dan juga dasar pertimbangan untuk pengembangan selanjutnya agar menggunakan dataset dan tagset yang standar sebagai benchmark metode. Terdapat 15 publikasi yang dibahas, pembahasan meliputi dataset, tagset dan metode yang digunakan untuk POS tag Bahasa Indonesia. Dataset yang paling banyak digunakan dan paling mungkin menjadi corpus standar adalah IDN Tagged Corpus terdiri dari lebih dari 250.000 token. Tagset Bahasa Indonesia hingga saat ini belum terstandarisasi dengan jumlah label bervariasi dari 16 tag hingga 37 tag. Metode yang paling banyak dikembangkan dan berpotensi menjadi state-of-the-art adalah neural network, dengan varian metode biLSTM dan CRF dan sejauh ini memberikan skor F1 dan akurasi tertinggi (>96%).
Analisis sentimen opini masyarakat terhadap penggunaan layanan maxim menggunakan algoritma naïve bayes Intania Widyaningrum; Mia Kamayani
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6194

Abstract

Technology is developing very quickly, as is happening in the field of transportation. Currently, transportation has begun to develop with the presence of various online-based transportation. One type of transportation that is widely used is the online motorcycle taxi application called Maxim. This online transportation service is one of the topics that is starting to be widely discussed via Twitter social media. By knowing these sentiments, users can determine whether the online transportation service provider is well received or not. The method used in this research is using the Naïve Bayes algorithm. The aim of this research is to conduct sentiment analysis of public responses regarding online transportation services, namely Maxim. Based on the research results, in evaluation testing, the accuracy results are obtained, namely for negative sentiment getting 87% precision, 74% recall, and 80% f1-score. Meanwhile, positive sentiments get 80% precision, 90% recall, and 85% f1-score. The sentiment results are dominated by positive sentiment, which is as many as 616 data.
Pembangunan Infrastuktur Jaringan Internet Pada Sekolah SMKN 3 Depok Untuk Mendukung Pembelajaran Daring – Luring Guna Meningkatkan Mutu Para Siswa dan Guru Di SMKN 3 Depok Daffa Anas Darman; Sherina Nurul Kautsar; Muhammad Izzaturrahman; Mia Kamayani
Prosiding Seminar Nasional Teknoka Vol 8 (2023): Proceeding of TEKNOKA National Seminar - 8
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Progress in the field of innovation and data is very broad and high, especially in an advanced world like this, of course internet networks are very important and needed by all levels of society, of course this is very beneficial for educational organizations, especially SMKN Sekolah 3 Depok which is located on Jalan Abadi. Jaya, Sukmajaya area, Depok city. Along with the increasing need for learning and practice performances, improvements have been made to the web network foundation in schools and in train ing areas to add web networks and preparation of instructions so that educators can overcome problems that occur in schools. PC organization. Implementing an adequate web network framework to assist online and offline education and learning practices while accelerating the continuation period 4.0, as well as assisting educators in developing their capacity in the fields of innovation and data.
Co-Authors Daffa Anas Darman Intania Widyaningrum Muhammad Izzaturrahman Rani Yunita Sherina Nurul Kautsar