Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal on Education Journal of Innovative and Creativity
Ni Luh Putu Ika Candrawengi
Universitas Pendidikan Nasional
Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Segmentasi Siswa Berdasarkan Capaian Literasi dan Numerik Menggunakan Teknik Clustering Ni Luh Putu Ika Candrawengi
Journal on Education Vol 7 No 2 (2025): Journal on Education: Volume 7 Nomor 2 Tahun 2025 In Progress (Januari-Februari 2
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i2.7891

Abstract

The Competency-Based National Assessment (CBNA) aims to measure students' basic competencies in literacy and numeracy as the foundation for learning at various levels of education. However, assessment results often show significant variations due to factors such as learning environment, teaching methods and socio-economic background, making it difficult for schools to design effective learning strategies. This study aims to map students based on literacy and numeracy achievement using clustering techniques with K-Means and Spectral Clustering algorithms. The data used is the 2023 National Assessment Public Report Card for SMA/SMK/MA/MAK levels. The analysis process includes pre-processing, exploratory analysis, application of clustering algorithm, and evaluation using Silhouette coefficient. The results showed that the K-Means algorithm with two clusters performed better (Silhouette coefficient 0.1901) than Spectral Clustering (-0.2218). The first cluster grouped students with low literacy and numeracy attainment, while the second cluster included students with higher attainment.
Segmentasi Konsumen Zero Waste Menggunakan Metode Gaussian Mixture Model dan Fuzzy C-Means Berdasarkan Preferensi dan Perilaku Pembelian Ni Luh Putu Ika Candrawengi; I Gusti Ngurah Putu Dharmayasa; I Gede Fery Surya Tapa; Anak Agung Sagung Istri Ratu
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.1319

Abstract

The increasing concern for the environmental problems has led to the growth of zero-waste stores as a form of sustainable consumption. This study aims to identify consumer segmentation in zero waste stores in North Kuta, Bali, based on preferences and purchasing behavior. Data was gathered through reliable and valid questionnaires involving 80 respondents who had shopped at three zero waste stores. The analysis was conducted using GMM (Gaussian Mixture Model) and FCM (Fuzzy C-Means) algorithms, with evaluation using silhouette coefficient and ICD Rate. The results showed that GMM was more optimal in forming homogeneous clusters (ICD Rate: 0.715). Three main clusters were identified: Eco-Engaged Advocates (respondents who are loyal and environmentally conscious), Value-Conscious Supporters (respondents who focus on product value), and Occasional Shoppers (pragmatic respondents who are responsive to promotions). The findings provide strategic implications for businesses in developing a more adaptive and data-driven marketing approach.
Co-Authors Anak Agung Sagung Istri Ratu I Gede Fery Surya Tapa I Gusti Ngurah Putu Dharmayasa