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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics EMITTER International Journal of Engineering Technology KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Bina Insani ICT Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INOVTEK Polbeng - Seri Informatika Technomedia Journal Applied Technology and Computing Science Journal Building of Informatics, Technology and Science GUYUB: Journal of Community Engagement Informatics, Electrical and Electronics Engineering Journal Of Artificial Intelligence And Software Engineering Jurnal Informatika: Jurnal Pengembangan IT El-Mujtama: Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science
iwan Syarif
Politeknik Elektronika Negeri Surabaya
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Journal : Bina Insani ICT Journal

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Klasifikasi Keluhan Masyarakat pada Sosial Media Twitter terhadap Pelayanan Toko Online di Indonesia menggunakan Metode Cosine TF-IDF Iwan Syarif; Rengga Asmara; Nur Ulima Rusmayani
Bahasa Indonesia Vol 7 No 1 (2020): Bina Insani ICT Journal (Juni 2020)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (460.465 KB) | DOI: 10.51211/biict.v7i1.1334

Abstract

Abstrak: Berkembangnya toko online dan transaksi online di Indonesia pada saat ini diiringidengan berbagai permasalahan seperti keluhan pada pelayanan yang membahas mengenaiaplikasi, ketanggapan dan pengiriman. Dengan adanya permasalahan tersebut, perhitunganserta penilaian keluhan yang sering didapatkan oleh masing-masing toko online sangatdiperlukan. Dengan memanfaatkan tweet masyarakat yang ditujukan kepada toko online, datatweet tersebut akan diklasifikasikan ke dalam kategori pelayanan yang telah ditentukan.Pengolahan data berupa tweet membutuhkan proses preprocessing yaitu proses untukmendapatkan keyword dari data tweet yang telah didapatkan, proses preprocessing memilikitahapan seperti tokenizing, filtering dan stemming. Keyword yang telah didapatkan diolah untukmendapatkan nilai hasil klasifikasi yang didapatkan. Proses klasifikasi kategori pelayanan padapenelitian ini menggunakan metode Cosine TF-IDF dimana metode tersebut membutuhkanbobot dan dokumen pada setiap kategori. Metode yang dikembangkan telah diaplikasikan padapenelitian ini menghasilkan prosentase proses klasifikasi kategori pelayanan menggunakanmetode Cosine TF-IDF sebesar 63.1%. Kata kunci: analisis sentimen, klasifikasi, rule based classifier, cosine similarity, TF-IDF Abstract: The development of online stores and online transactions in Indonesia at this time isaccompanied by various problems such as complaints on services that discuss applications,responsiveness and delivery. With these problems, the calculation and assessment ofcomplaints that are often obtained by each online store is very necessary. By utilizingcommunity tweets aimed at online stores, the tweet data will be classified into predeterminedservice categories. Data processing in the form of tweets requires a preprocessing process,namely the process of getting keywords from the data tweets that have been obtained, thepreprocessing process has stages such as tokenizing, filtering and stemming. The keywordsthat have been obtained are processed to obtain the classification results obtained. The servicecategory classification process in this study uses the Cosine TF-IDF method where the methodrequires weights and documents in each category. The method developed has been applied inthis study to produce a percentage of the service category classification process using theCosine TF-IDF method of 63.1%. Keywords: sentiment analysis, classification, rule based classifier, cosine similarity, TF-IDF
Co-Authors Adam Prugel-Bennett Afifah, Izza Nur Agung Muliawan Ahsan, Ahmad Syauqi Aidil Saputra Kirsan Aji , Rendra Suprobo Al Falah, Adam Ghazy Alfaqih, Wildan Maulana Akbar Ali Ridho Barakbah Alwan Fauzi Amalia Wirdatul Hidayah Andhik Ampuh Yunanto APRIANDY, KEVIN ILHAM Ardhani, Misbahul Arna Fariza Assodiky, Hilmy Aziz, Adam Shidqul Bagas Dewangkara Bima Sena Bayu Dewantara Binti Kholifah Dadet Pramadihanto Daisy Rahmania Syarif Darmawan, Zakha Maisat Eka Desy Intan Permatasari, Desy Intan Deyana Kusuma Wardani Dian Neipa Purnamasari Dimas Bagus Santoso Dona Wahyudi Dzulfiqar, Achmad Fakhri Edelani, Renovita Edi Satriyanto Entin Martiana Kusumaningtyas Fahrudin, Tresna Maulana Fakhri, Haidar Fathoni, Kholid Fauzy, Aryazaky Iman Ferry Astika S Ferry Astika Saputra Ferry Astika Saputra Fitri Setyorini Gary Wills Gunawan, Agus Indra Hamida, Silfiana Nur Hardiyanti, Fitriani Rohmah Hasan Basri Hidayah, Amalia Wirdatul Hidayah, Nadila Wirdatul Hilmy Assodiky Hisyam, Masfu Huda, Achmad Thorikul Idris Winarno Irsal Shabirin Khoirunnisa, Asy Syaffa Kholifah, Binti Kindarya, Fabyan Kusuma, Selvia Ferdiana M Udin Harun Al Rasyid, M Udin Harun Mahardhika, Yesta Medya Masfu Hisyam Maulana, Yufri Isnaini Rochmat Mayangsari, Mustika Kurnia Mufid, Mohammad Robihul Muhammad Fajrul Falah Muhlis Tahir Nadila Wirdatul Hidayah Nana Ramadijanti, Nana Ningrum, Ayu Ahadi Nur Rosyid Mubtadai, Nur Rosyid Nur Sakinah Nur Ulima Rusmayani Prasetyo Primajaya, Grezio Arifiyan Rabiatul Adawiyah Rachmawati, Oktavia Citra Resmi Reesa Akbar Rengga Asmara Rengga Asmara Riyanto Sigit, Riyanto Rizky Yuniar Hakkun Rosmaliati, Rosmaliati Rozie, Fachrul Rudi Kurniawan Rulisiana Widodo S, Ferry Astika Sa'adah, Umi Sesulihatien, Wahjoe Tjatur Setiawardhana, Setiawardhana Sritrusta Sukaridhoto Sudaryanto, Aris Sumarsono, Irwan Susanti, Puspasari Tessy Badriyah, Tessy Tresna Maulana Fahrudin Tri Harsono Ubed, Imanullah Ali Utomo, Agus Priyo Walujo, Ivana Yudith Wibowo, Prasetyo Willy Sandhika Yufri Isnaini Rochmat Maulana