Analisa Komentar Siswa Tentang Minat Melanjutkan Pendididkan di Universitas Stella Maris Sumba pada SMA Plus Umma Katukku
DOI:
https://doi.org/10.61132/mars.v2i5.363Keywords:
Sentiment, Village Officials, Social AssistanceAbstract
State regulations state that village funds come from the State Budget (APBN) and are used to support governance, development, development, and social activities as well as community empowerment. It is hoped that the existence of village funds will increase the sources of income for each village, and the addition of village income by the government will improve public service facilities.1. As a result, a sentiment analysis of village officials will be carried out in this study. The Naive Bayes approach will be used to classify public sentiment as part of this investigation. We will evaluate two methods to see which produces more accurate results. In addition, the village government's function as the most important social institution in the community is essential for setting standards, facilitating socialization, and allocating resources. Furthermore, some Eweta community members have not received assistance, which could cause social rivalry among neighbors. Through sentiment categorization, responses will be categorized as either positive or negative. Based on feedback from visitors, this study attempts to assess the validity of the two approaches put to the test and offer insights into the caliber of services rendered by the village administration.
References
Mukti, R. A. (2021). Sistem Informasi Jurnal Elektronik Berbasis Web Pada Universitas Diponegoro. Jurnal Teknoinfo, 15(1), 38. https://doi.org/10.33365/jti.v15i1.473
Nasution, L. H., & Aliwijaya, A. (2023). Strategi Preservasi Digital Tradisi Lisan Makkobar dalam Upacara Perkawinan Adat Mandailing ( Studi Kasus di Kota Padangsidimpuan ) Abstrak Pendahuluan Literasi tidak hanya sekedar membaca dan menulis . Beberapa ilmuwan mengartikan seperangkat keterampila. c.
Purnamasari, A. I., & Ali, I. (2024). Analisis Sentimen Komentar Berita Detik . Com Menggunakan Algoritma Suport Vektor Machine ( Svm ). 8(3), 3175–3181.
Pustaka, T. (2024). Implementasi Long Short-Term Memory Dalam Analisis Sentimen Pengguna Aplikasi Twitter Yang Mengandung Ujaran Kebencian. 8(3), 3170–3174.
Trisnawati, W., & Wibowo, A. (2024). SENTIMENT ANALYSIS OF ICT Service User Using Naive Bayes Classifier And Svm Methods With Tf-Idf Text Weighting Analisis Sentimen Pengguna Layanan Tik Menggunakan Metode Naive Bayes Classifier Dan Svm Dengan Pembobotan Teks Tf-Idf. 5(3), 709–719.
Wahyudin, Y., & Rahayu, D. N. (2020). Analisis Metode Pengembangan Sistem Informasi Berbasis Website: A Literatur Review. Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 15(3), 26–40. https://doi.org/10.35969/interkom.v15i3.74
Winoto, D., Aditia, V. D., Sorisa, C., Priskila, R., & Pranatawijaya, V. H. (2024). Analisis Sentimen Pada Ulasan Pengguna Terhadap Aplikasi Pembelajaran Bahasa Duolingo : Menggunakan Algoritma Naïve Bayes Dan K-Nearest Neighbor. 8(3), 3230–3236.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.