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All Journal BHIRAWA KELOLA Jurnal Akuntansi dan Pajak NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Journal Of Management Science (JMAS) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Pendidikan dan Konseling Jurnal Infortech INTELEKTIVA International Journal of Social Science Wasana Nyata Jurnal Abdimas Ekonomi dan Bisnis Indonesian Journal of Networking and Security - IJNS CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Indonesian Journal Computer Science (ijcs) Proceeding of International Conference Health, Science And Technology (ICOHETECH) Transformasi: Journal of Economics and Business Management Dikdimas : Jurnal Pengabdian Kepada Masyarakat WASANA NYATA Jurnal Pengabdian Khairun
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Journal : Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi

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Pengembangan Sistem Analisis Sentimen Warung Makan Metode Naïve Bayes Berdasarkan Ulasan Google Maps Yuniyarwan, Rendi Tri; Sopingi, Sopingi; Sundari, Sundari
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 3: Desember 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i3.2058

Abstract

Decision makers can improve what they have to do by finding important patterns or information in the datamining process or this large database. No exception in the culinary industry, people can choose to visit the place or cannot see their reviews on websites like Google Maps. Sentiment analysis related to user comments related to Pak To food stalls. The Naive Bayes algorithm was chosen for sentiment analysis because of its simplicity and its computing efficiency. Based on the results of testing this web -based sentiment analysis application shows that the use of the Naive Bayes algorithm in text classification can be done effectively and efficiently. With an accuracy model of 85%, the average macro precision is 84%, and the average macro recall is 83%, this application shows good performance in analyzing text sentiment. With further development, this application can be used in various domains such as social media analysis, customer surveys, and more. Black box testing has been carried out and the system can run according to plan.Keywords: Data Mining; Clasificattion; Naïve Bayes; Google Maps Review. AbstrakPengambil keputusan dapat memperbaiki apa yang harus mereka lakukan dengan menemukan pola atau informasi penting dalam proses datamining atau database besar ini. Tak terkecuali dalam industri kuliner, orang -orang dapat memilih untuk mengunjungi tempat tersebut atau tidak dapat melihat ulasannya di situs web seperti Google Maps. analisis sentimen yang berkaitan dengan komentar-komentar pengguna yang terkait dengan Warung Makan Pak To. Algoritma Naive Bayes dipilih untuk analisis sentimen karena kesederhanaannya dan efisiensi komputasinya. Berdasarkan hasil pengujian Aplikasi analisis sentimen berbasis web ini menunjukkan bahwa penggunaan algoritma Naive Bayes dalam klasifikasi teks dapat dilakukan dengan efektif dan efisien. Dengan accuracy model sebesar 85%, rata-rata makro precision 84%, dan rata-rata makro recall 83%, aplikasi ini menunjukkan kinerja yang baik dalam menganalisis sentimen teks. Dengan pengembangan lebih lanjut, aplikasi ini dapat digunakan dalam berbagai domain seperti analisis media sosial, survei pelanggan, dan banyak lagi. Pengujian black box telah dilakukan dan sistem dapat berjalan sesuai perencanaan. 
Co-Authors - Universitas Bina Sarana Informatika, Dwi Kuncoro Agustina Srirahayu Antin Okfitasari, Antin Bambang Eka Purnama Bambang Eka Purnama Dwi Eka Nurmaita Ety Meikhati Heribertus Ary Setyadi Heribertus Ary Setyadi Kristyana Dananti Madjid, Ilham Magdalena Nany Margaretha Evi Yuliana Murni Hastuti Novemy Triyandari Nugroho Priskilla Oktavia Pudji Widodo Rizki Fahardika Sobirin Sopingi, Sopingi Syamsul Bahri Taher, Dharmawaty Muhammad Theofilus Victor Putra Ari Pranata Yuniyarwan, Rendi Tri