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All Journal Journal of Islamic Pharmacy Jurnal DIDIKA: Wahana Ilmiah Pendidikan Dasar ARISTO JURNAL MEDIA INFORMATIKA BUDIDARMA Wahana : Tridarma Perguruan Tinggi PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Indonesian Physical Review Building of Informatics, Technology and Science Jurnal Abdi Insani Jurnal Pengabdian kepada Masyarakat Nusantara AKMENIKA Jurnal Kesehatan Tambusai JOLLT Journal of Languages and Language Teaching Bima Abdi: Jurnal Pengabdian Masyarakat Bulletin of Information Technology (BIT) Jurnal Informatika Teknologi dan Sains (Jinteks) Technologica Co-Creation : Jurnal Ilmiah Ekonomi Manajemen Akuntansi dan Bisnis Langgas: Jurnal Studi Pembangunan Hexagon RISTEC : Research in Information Systems and Technology Jurnal Pengabdian Masyarakat Bangsa Jurnal Pengabdian Rekayasa Sistem ALTRON VISA: Journal of Vision and Ideas MARAS : Jurnal Penelitian Multidisplin Indonesian Journal of Material Research Tashwir: Jurnal Penelitian Agama dan Budaya Nomos : Jurnal Penelitian Ilmu Hukum Jurnal Abdimas Multidisiplin Journal of Health Education Law Information and Humanities Al-Katib Arunika: Jurnal Pengabdian Masyarakat
Hidayatullah, Muhammad
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Journal : RISTEC : Research in Information Systems and Technology

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Sentiment Analysis of Police Performance On Twitter Users Using Naïve Bayes Method hidayatullah, Muhammad; Alam, Syariful; Jaelani, Irsan
RISTEC : Research in Information Systems and Technology Vol. 2 No. 2 (2021): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

After the case of alleged child rape in East Luwu which was stopped went viral in the aftermath of many other cases of sexual violence that were considered by the police to be inconsistent with procedures. After the hashtag #PercumaLaorPolisi appeared #PolriSesuaiProsedur hashtag became a trending topic on Twitter. This study discusses the sentiment of police performance on twitter users, aiming to measure how much sentiment the performance of the police according to twitter citizens who earned. The topic of this study is a mining text that uses the naïve bayes method. Text mining is a computer-based algorithmic technique/approach to gaining new knowledge hidden from a set of texts. The data from crwalling on twitter were analyzed using naive bayes which is a method for analyzing. Naive Bayes' algorithm is very effective in classification or classification problems. This algorithm works based on existing probabilities to determine the probability of the future. The steps in the Naïve Bayes method are preprocessing which includes transformation, tokenization and filtering processes. It is followed by the weighting of words such as TF-IDF and ends with classificationand evaluation. As a result of this study, according to tweet data processed using the orange application and confusion matrix calculations, the police performance sentiment entered the neutral classification of 75.8%, negative 58.1% and positive 39.5% in the last order, as well as the resulting model at an accuracy value of 0.929, precision 0.933, recall 0.923, and f-measure0.954
Co-Authors A. Rahman Abdul Karim Abdul Karim Adlillah, Rihan Adrianus Inu Natalisanto Agus Muljanto, Muhammad Ahmad Ahmad Hasibuan, Thohar Ahmad Jaya Ahmad Zarkasi Aisyah, Della Aldes Lesbani Alhamda Rahman, Ghathfaan Ali Topan, Paris Amirin Kusmiran Ananda, Rizki Qori Andriani, Titi Ansar Suherman, Ansar Anugrah, Rifki Apriana Apriana Ardila, Bella Ariendika, Rama Ariyanto, Nova Aryanto, Nova Aslamiah Aslamiah Astuti, Karunita Ika Aswasulasikin As’ad Najib, Muhammad Aulia, Masyitah Aulia, Nindi B, Ihsan Bobbi Kurniawan Nasution, Muhammad Darmawan , Indra Darmawan, Indra Deni Achmad Diani Ayu Pratiwi Diansari, Rani Eka Dimas Utomo Djatnika, Riki Dona Arsinta Eka Deviani Etiana, Eka Fahmi Syuhada Falani, Achmad Zakki Fardinah, Fardinah Farhan Fathonah, Sharida Ratri Fauzia Dwi Kayanti Fernando Saputra Filanti, Wa Ode Safnano Giatma Dwijuna Ahadi Gunawan Hananda Putra, Muhammad Fauzan Hayati, Hikmah Hijrah, Muh. Husni Husni Ibrahim, Doni Septu Marsa Iga Mawarni Jaelani, Irsan Jaya , Ahmad Jaya, Ahmad Juniardi Akhir Putra Kartini Kartini Khairil Khairun Nisa Kholis Nurhanafi Kurniawan Nasution, Muhammad Bobbi Kusmanto Kusmanto Liaten Marini, Fika Maulida, Rahmi Maulidyawati , Desi Maya Shafira Mayapada, Retno Meidiantama, Refi Misin, Misin Muhammad Faisal Mahdie Nadila Cantika Ramdani Nathaniela, Amanda Noor Mirad Sari Noviadi, Aditya Nugroho, Setyadi Nuraidha, Amalia C Nuraviat, Sitti Pebrian, Reza Presda, Ignasius Putri Indah Sayakti Rahayu, Putri Indi Rahmi Muthia Raihan, Muhammad Rais, Qulyubi Mahsan Nasukha Ramadhan, Rahmad Rani, Syahrul Rifandi, Muhammad Rifqi, Raoul Risfidian Mohadi Rukayah Saranty, Saranty Shalsabila Miracle, Annisaa Shinta Esabella Sofya, Nora Dery Suhardin Sultan Wachid , Muhammad Suryadi, Sudi Susi Rose Ardian, Anggeli Susilawati, Tri Syariful Alam Syawaliyah, Syawaliyah Topan, Paris Ali Ulfah, Syarifatul Umar Umar Violet, Violet Wahyudin Wahyudin Wathan, Arizalul* Wibiyan, Sahrul Windiarti Dwi Purnaningrum Yuliadi Yuliadi Zahira, Salsabila Zainudin Hassan