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All Journal Jurnal Teknologi Informatika dan Komputer SAINTEK Jejak digital: Jurnal Ilmiah Multidisiplin
Sutrisno Sutrisno
Universitas Pelita Bangsa
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Analisis Sentimen Terhadap Pemerintahan Ridwan Kamil Sebagai Gubernur Jawa Barat Menggunakan Algoritma Naïve Bayes U. Darmanto Soer; Sutrisno Sutrisno
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.7782

Abstract

The use of social media in the era of globalization is very necessary for some circles including the regional leader, in the period of his tenure, Ridwan Kamil received various inputs and criticisms, and in this case the authors conducted research to analyze public sentiments towards the elected governor. And in this study the authors use the Naïve Bayes algorithm to classify sentiments and look for the preference values because the algorithm has a pretty good accuracy. From the results of tests conducted using cross validation techniques and accuracy measurements using confusion matrix with 10 times the best accuracy testing obtained was 84.38% and the positive response obtained from the calculation of preference value was 49%. Thus it can be concluded that the Naïve Bayes algorithm can be used to classify quite well and be able to measure the community's response to regional leaders. Keywords: Sentiment Analysis, Twitter, Naïve Bayes Classifier, Cross Validation, Preference Value
Analisis Sentimen terhadap Pemerintahan Ridwan Kamil sebagai Gubernur Jawa Barat Menggunakan Algoritma Naïve Bayes U. Darmanto Soer; Sifa Fauziah; Sutrisno Sutrisno
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1976

Abstract

Penggunaan sosial media di era globalisasi sangat diperlukan bagi sebagian kalangan tidak terkecuali pemimpin daerah. Dalam satu tahun masa jabatanya, Ridwan Kamil mendapatkan berbagai pujian masukan maupun kritikan. Penelitian dilakukan untuk menganalisa sentimen masyarakat terhadap gubernur terpilih Ridwan Kamil. Pengumpulan data dilakukan dengan menggunakan proses crawling data Twitter menggunakan software Orange 3. Tahapan preprocessing terdiri dari proses Remove Duplicates yang bertujuan untuk memfilter data tweet yang sama, dan proses Cleansing yang bertujuan untuk membersihkan data dari noise atau ganguan. Document Processing terdiri dari beberapa proses berikut, Transform Case, Tokenize, Filter Token by Length, Filter Stopwords, Stemming, dan Generate N-Grams. Penelitian ini menggunakan algoritma Naïve Bayes untuk melakukan klasifikasi sentimen dan mencari nilai preference value dikarenakan algoritma tersebut memiliki akurasi yang cukup baik. Dari hasil pengujian yang dilakukan menggunakan teknik cross validation dan pengukuran akurasi menggunakan confusion matrix dengan dilakukan 10 kali pengujian akurasi terbaik yang diperoleh adalah 84,38 %. Respon positif masyarakat terhadap kepemimpinan Ridwan Kamil yang didapatkan dari hasil penghitungan preference value adalah 49%. Sedangkan nilai respon positif tersebut dapat berubah-ubah, dikarenakan respon masyarakat dan data yang diperoleh dapat berubah sewaktu-waktu. Dengan demikian dapat disimpulkan bahwa algoritma Naïve Bayes dapat digunakan untuk melakukan klasifikasi dengan cukup baik dan dapat mengukur respon masyarakat terhadap pemimpin daerah.
Pemanfaatan Teknologi Sistem Pirolisis  Skala Kecil Menggunakan Kompor Oli Bekas sebagai Pemanas Sutrisno Sutrisno; Rendyka Dwi Romero; Elsa Sintya Dewi; Jeesica Diana Putri; Alfi Syahri Fauzan; Dodit Ardiatma
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/1s54pa44

Abstract

The rapid development of technology, particularly Artificial Intelligence (AI), has significantly influenced educational practices, including English language learning. This study aimed to investigate the implementation of Artificial Intelligence in English language learning and explore eighth-grade students’ perceptions toward the use of AI at SMPK 1 Harapan Denpasar. This study employed a descriptive qualitative research design involving 36 eighth-grade students, with seven students selected as interview participants through convenience sampling techniques. Data were collected through observation, questionnaires, interviews, and document analysis. The collected data were analyzed using the interactive model proposed by Miles et al., including data reduction, data display, and drawing conclusions. The findings revealed that AI had been successfully integrated into English learning activities and contributed positively to classroom learning processes. The implementation of AI created a more interactive learning environment and increased students’ enthusiasm and engagement during learning activities. Furthermore, students demonstrated highly positive perceptions regarding the use of AI based on the Technology Acceptance Model (TAM) indicators, namely perceived usefulness and perceived ease of use. Students perceived AI as beneficial in supporting vocabulary development, grammar improvement, pronunciation practice, and assignment completion. AI was also considered easy to use because it provided quick responses and accessible features that encouraged independent learning. Although students recognized certain limitations such as inaccurate responses and system errors, they demonstrated critical awareness by evaluating and verifying AI-generated information. Therefore, the findings suggest that Artificial Intelligence has considerable potential to support and improve the effectiveness of English language learning.
Co-Authors Alfi Syahri Fauzan Dodit Ardiatma Elsa Sintya Dewi Jeesica Diana Putri Rendyka Dwi Romero Sifa Fauziah U. Darmanto Soer