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PELATIHAN PEMANFAATAN TEKNOLOGI INFORMASI UNTUK PEMASARAN UMKM DI KABUPATEN KARAWANG April Lia Hananto; Fitria Nurapriani; Bayu Priyatna; Adittia Agustian; Mohamad Ricky Firdaus
Jurnal Abdimas: Sistem dan Teknologi Informasi Vol. 2 No. 2 (2022): Jurnal Abdimas: Sistem dan Teknologi Informasi
Publisher : LPPM STMIK Rosma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35969/abdimas.v2i2.274

Abstract

Pengabdian Masyarakat dengan Judul: "Workshop Sosialisasi dan E-Commerce" dirancang untuk meningkatkan kualitas hidup warga desa sekitar Sukasari. Tujuan proyek ini adalah untuk (1) menjalin kerjasama yang saling menguntungkan antara civitas akademika dan masyarakat Desa Sukasari. (2) Membuat website perdagangan elektronik untuk mengiklankan keunggulan Desa Sukasari untuk kehidupan warganya yang lebih baik. Acara ini akan dilakukan dengan menggunakan kombinasi metode presentasi (seminar) dan pengalaman langsung (Workshop) sehingga hasil yang diharapkan dari implementasi metode ini dapat segera dipublikasikan di situs e-commerce-nya.
Analisis Sentimen, Text Mining Penerapan Analisis Sentimen Dan Naive Bayes Terhadap Opini Penggunaan Kendaraan Listrik Di Twitter Adittia Agustian; Tukino; Fitria Nurapriani
Jurnal Tika Vol 7 No 3 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.805 KB) | DOI: 10.51179/tika.v7i3.1550

Abstract

Twitter is the most popular social media today. Can find out various Twitter responses that fall into the positive, neutral, or negative categories. Technological advances at this time are so rapid that vehicles will provide fuel for electric power or are called electric vehicles. Indonesia has become a country that encourages acceleration in the use of electric vehicles, according to the Minister of State-Owned Enterprises circular letter. The advancement of electric-powered vehicles is an innovation and technology that will continue to develop and transform. With the presence of the electric vehicle, the Indonesian government will serve as an important guest vehicle at the G20 Summit activities in Bali, Indonesia. The purpose of this study is to determine the public's response to electric vehicles which are currently widely used among the people of Indonesia. To find out the public response, sentiment analysis is needed through the responses of Twitter users. By generating positive, neutral, or negative categories. Based on the results of the classification of sentiment analysis on the support of electric vehicles. Data collection uses the Twitter API as an open source that can retrieve Twitter user responses, then the data cleaning process is carried out, converting Indonesian to English, then tested using the Naïve Bayes algorithm, and visualizing twitter data using python. Based on the classification results, public response to electric vehicles is more positive with 82% precision and 44% recall. By having 80% data accuracy through the Naive Bayes confusion matrix through the text mining process, python text blob, and word cloud as the relationship between words and twitter text