Claim Missing Document
Check
Articles

Found 2 Documents
Search

Implementasi Algoritma Naive Bayes untuk Analisis Sentimen Ulasan Shopee pada Google Play Store: The Implementation of Naïve Bayes Algorithm for Sentiment Analysis of Shopee Reviews On Google Play Store Nurhaliza Agustina; Desy Herlina Citra; Wido Purnama; Chairun Nisa; Amanda Rozi Kurnia
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 2 No. 1 (2022): MALCOM April 2022
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.459 KB) | DOI: 10.57152/malcom.v2i1.195

Abstract

Perkembangan teknologi yang semakin pesat memberikan kemudahan bagi masyarakat dalam berbagai hal dalam kehidupan. Teknologi yang tumbuh secara terus-menerus tentu menghasilkan data dalam jumlah yang sangat besar yang dapat memberikan informasi yang berguna dan bermanfaat. Google memiliki sebuah layanan yang dikenal dengan nama Play Store yang terdapat fitur dimana user dapat memberikan ulasan terhadap produk yang mereka gunakan. Pada penelitian ini melakukan analisis sentimen pada ulasan aplikasi Shopee pada Google Play Store dengan menggunakan algoritma Naïve Bayes dengan menggunakan teknik pembagian data yang berbeda. Hasil penelitian diketahui bahwa pembagian data Hold-Out dengan perbandingan 80:20 menghasilkan akurasi algoritma sebesar 83%, yang lebih unggul 1% dibandingkan dengan hasil akurasi rata-rata dengan menggunakan teknik pembagian data 10-Cross Fold Validation yaitu sebesar 82%.
Analysis of Factors Influencing Students of the Faculty of Teacher Training and Education, University of Riau in Entrepreneurship Chairun Nisa; Gimin Gimin; Brilliant Asmit
JETISH: Journal of Education Technology Information Social Sciences and Health Vol 2, No 2 (2023): September 2023
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jetish.v2i2.683

Abstract

The background of this research is the decrease in the number of FKIP students at the University of Riau who are self-employed per year in their class. Therefore it is necessary to know what factors influence Riau University FKIP students in entrepreneurship. The research was conducted by collecting data directly from students using a questionnaire. The sample studied was 78 students who have already started entrepreneurship in the 2020, 2021 and 2022 batches using a purposive-snowball sampling technique. There are 18 variables analyzed using factor analysis to find out what factors are formed in influencing student entrepreneurship. The results showed that among the 18 variables analyzed there were 6 (six) factors that influenced student entrepreneurship. The six factors include technological factors, family factors, perceptions of entrepreneurship, friends, economic conditions, and environmental factors. Of the six factors, the most dominant factor influencing students in entrepreneurship is the technology factor.