Claim Missing Document
Check
Articles

Found 2 Documents
Search

Sosialisasi Entrepreneur Untuk Generasi Z Di SMP Sapta Andika Denpasar Ni Kadek Ariasih; Santi Ika Murpratiwi; I Dewa Ayu Agung Tantri Pramawati; I Putu Arya Mulyawan; Kompiang Martina Dinata Putri; Ni Putu Widantari Suandana; Made Dona Wahyu Aristana; I Wayan Dharma Suryawan; Ni Luh Putu Agetania; I Gede Made Yudi Antara
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 3 No. 3 (2023): Mei 2023 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v3i3.386

Abstract

Salah satu tema utama dalam projek penguatan profil pelajar Pancasila dalam kurikulum merdeka adalah kewirausahaan. Sekolah Menegah Pertama yang sudah menerapkan kurikulum merdeka dan memberikan mata pelajaran kewirausahaan pada peserta didiknya yaitu SMP Sapta Andika Denpasar. Namun, berdasarkan pre-test yang diberikan kepada siswa kelas VII di SMP tersebut didapatkan hasil bahwa 78% siswa dari 290 responden ingin menjadi entrepreneur. Tetapi, sebanyak 78% siswa menjawab tidak mengenal istilah entrepreneur, 43,7 siswa tidak mengetahui contoh pekerjaan entrepreneur, 61,4% siswa belum pernah mencoba membuka usaha, dan 72% siswa belum pernah membuat catatan keuangan. Berdasarkan hasil pretest tersebut, maka kami selaku pihak pelaksana PKM bekerjasama dengan pihak sekolah untuk memberikan materi secara tatap muka mengenai entrepreneur. Setelah dilakukan sosialisasi didapat hasil dari 7 pertanyaan terkait entrepreneur yang diajukan, rata-rata 76,16% dari 257 siswa mampu menjawab dengan benar. Sehingga dapat disimpulkan bahwa sosialisasi ini memberikan manfaat kepada siswa dan menambahkan pengetahuan siswa terkait entrepreneur.
Comparison of Naïve Bayes and Random Forest in Sentiment Analysis of State-Owned Banks Management by Danantara on X and YouTubeComparison of Naïve Bayes and Random Forest in Sentiment Analysis of State-Owned Banks Management by Danantara on X and YouTube Ni Wayan Indah Juliandewi; Aniek Suryanti Kusuma; Kompiang Martina Dinata Putri; I Gusti Agung Indrawan; I Gusti Ayu Agung Mas Aristamy
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.366

Abstract

The advancement of digital technology has increased public engagement in expressing opinions and responding to issues on social media platforms such as X and YouTube. A prominent topic of recent public debate concerns Danantara's management of state-owned banks. This study analyzes public sentiment regarding this issue by comparing the performance of the Naïve Bayes and Random Forest classification methods. A dataset comprising 25,565 entries was collected from both platforms between January 2025 and May 2025. The data underwent text pre-processing, labeling with the InSet Lexicon, and feature weighting using term frequency-inverse document frequency (TF-IDF). The dataset was split at 80:20, and class imbalance was addressed using the Synthetic Minority Over-sampling Technique (SMOTE) prior to classification. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results demonstrate that Random Forest performed stably, achieving 84% accuracy both before and after sampling. In contrast, Naïve Bayes achieved 74% accuracy before sampling, which increased to 79% after sampling. These findings suggest that Random Forest is more robust to data imbalance than Naïve Bayes, which is more susceptible to bias toward the majority class.