I Gede Widnyana
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Pengaruh Model Pembelajaran Role Playing Berbasis Tri Hita Karana Terhadap Kompetensi Pengetahuan IPS Siswa Kelas IV SD Gugus Untung Surapati Widnyana, I Gede
Jurnal Ilmiah Sekolah Dasar Vol 2, No 1 (2018): Februari 2018
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.689 KB) | DOI: 10.23887/jisd.v2i1.13894

Abstract

This research aims to determine the significant differences in the competence of IPS group knowledge of students who are taught by role playing learning model based on Tri Hita Karana. This research type is quasi experiment research with nonequivalent control group design. Samples were taken by random sampling technique. The sample in this research is the fourth grade students of SDN 6 Sumerta amounting to 39 students as the group which is recommended with the role playing model based on Tri Hita Karana and the fourth grade students of SDN 11 Sumerta are 38 students as control group with conventional learning. The data collection is done by using the test method in the form of the usual double choice objective test with four answers. The data obtained were analyzed using t-test analysis. The result of data analysis is tvalue = 8,315> ttable = 2,000 for 5% significance and dk = 75. Based on test criteria, H0 is rejected. The average score of IPS knowledge competence in the group that was studied with the role playing model based on Tri Hita Karana was X = 84,31, while in the group recommended with conventional learning was X = 69,11. Based on the result of this research, it can be concluded that there is influence of role playing model based on Tri Hita Karana on the competence of IPS knowledge of fourth grade students of SD Untung Surapati Unit, Denpasara Timur Sub District, Lesson Year 2016/2017. concluded that the model of learning group investigastion  affect learning outcomes Civics class VI students of  SD N 2 Datah regency of Karangasem.
SOSIALISASI SISTEM PRIDE (PREDIKSI DAN ANALISA DATA INVESTASI) BERBASIS WEBSITE DI DPMPTSP KABUPATEN BADUNG I Gede Widnyana; Anak Agung Istri Ngurah Eka Karyawati; Cokorda Rai Adi Pramartha
Jurnal Pengabdian Informatika Vol. 4 No. 1 (2025): JUPITA Volume 4 Nomor 1, November 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kabupaten Badung menghadapi tantangan dalam menganalisis data perizinan dari sistem OSS yang besar dan kompleks. Program pengabdian ini bertujuan mengembangkan sistem PRIDE (Prediksi dan Analisa Data Investasi) untuk membantu memprediksi tren investasi dan meningkatkan efisiensi pengambilan keputusan oleh pihak DPMPTSP. Sistem berbasis web ini menggabungkan algoritma Linear Regression dan Random Forest, dilengkapi fitur analisa, prediksi, dan visualisasi data. Hasilnya, model prediksi memiliki akurasi tinggi dengan R-Squared (0.9999) untuk algoritma Regresi Linear dan F1-Score (0.99) untuk algoritma Random Forest. Sistem PRIDE dapat membantu pengelolaan data yang lebih efektif dan berbasis data. Sistem PRIDE mampu meningkatkan transparansi dan mendukung pengambilan keputusan strategis terkait investasi di Kabupaten Badung.
Analisis Sentimen pada Sengketa Pilpres 2024 dengan Multinomial Naïve Bayes dan Chi-Square I Gede Widnyana; Anak Agung Istri Ngurah Eka Karyawati
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 3 (2025): JNATIA Vol. 3, No. 3, Mei 2025
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2025.v03.i03.p03

Abstract

The Constitutional Court officially rejected all appeals against the 2024 Presidential Election results in Jakarta, drawing public attention. People expressed their opinions through social media platforms, including YouTube. Therefore, this research was conducted to analyze public sentiment regarding this political phenomenon. This study uses primary data on comments from 3 YouTube videos that were crawled with a total of 4103 data. The data underwent labeling and then went through 5 stages of text pre-processing. Subsequently, modeling was performed using the Multinomial Naïve Bayes Algorithm with testing on 10 variations of the Chi-Square threshold, followed by validation with 10-fold cross-validation. The research yielded an optimal model performance, including accuracy, precision, recall, and F1-score, stabilizing at 72% with a ChiSquare feature selection of 70% and 90%. Without feature selection, the model's performance was at 71.5%. Model validation with the highest and average K-Fold Cross-Validation scores were sequentially at 74% and 69%. The built model is sufficiently good at analyzing sentiment and provides insights that 52% of Indonesians are dissatisfied with the Constitutional Court's decision based on YouTube comments.