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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika EDUMATIC: Jurnal Pendidikan Informatika Indonesian Physical Review Kappa Journal Bubungan Tinggi: Jurnal Pengabdian Masyarakat JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Jurnal Statistika dan Komputasi (STATKOM)
Kertanah
Universitas Hamzanwadi
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Comparison of Algorithms K-Means and DBSCAN for Clustering Student Cognitive Learning Outcomes in Physics Subject Kertanah, Kertanah; Nurmayanti, Wiwit Pura; Aini, Sri Rahmatun; Amrullah, Lalu Muh.; Sya'roni, Muhammad
Kappa Journal Vol 7 No 2 (2023): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i2.18428

Abstract

Clustering is an activity of grouping data into the same group based on similarity. The purpose of the study is to cluster and determine student cognitive learning outcomes characteristics. Cluster analysis was conducted on student cognitive learning outcomes using algorithms K-Means and DBSCAN. Both algorithms are appropriate to have been applied to the overlapping data such as student learning outcomes data. Also, their advantages are scaling large datasets and outliers. The data used in this study is student cognitive learning outcomes - final and mid-term exams grade X in physics subject. Applying the two proposed algorithms K-Means and DBSCAN, the best cluster algorithm to have been used for clustering analysis is K-Means which is based on the highest silhouette score of 0.43, while the silhouette score of DBSCAN is 0.39 respectively. Using the best cluster, the K-Means algorithm, found two types of clusters – cluster 1 consists of 132 students who have a high average score, and cluster 2 shows 183 students who have a low average score in both final and mid-term exams respectively. From the analysis results, most students still have low cognitive learning outcomes in physics subject.
Parental Income and Education as Predictors of Physics Exam Success: A Neural Network and Random Forest Regression Analysis Mutia Rosiana Nita Putri; Kertanah; Mugni Bustari; Muhammad Aminuddin; Baiq Husnul Khotimah
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.12307

Abstract

This study examines the relationship between the socioeconomic status (SES) of tenth-grade students at SMA Negeri 4 Praya and their final physics exam scores for the 2022/2023 academic year. SES indicators include parents' income and education level, collected via qualitative questionnaires and quantitative assessment of physics exam scores. Random Forest Regression and Neural Network techniques were used for analysis. The results showed no significant relationship between SES and physics scores. For parents' education level, Neural Network Regression yielded a Mean Squared Error (MSE) of 323.78 and an R² score of -0.0129, while Random Forest Regression produced an MSE of 327.08 and an R² score of -0.0232. Similarly, for parents' income, Random Forest Regression resulted in an MSE of 327.08 and an R² score of -0.0232, and Neural Network Regression yielded an MSE of 323.78 and an R² score of -0.0129. These negative R² scores indicate that SES does not significantly impact physics exam scores, highlighting the complexity of factors influencing academic performance. This research suggests that other variables may play a more critical role in determining students' success in physics. This research underscores the need for a more comprehensive approach to understanding and supporting student achievement in education.
Penerapan Pembelajaran Fisika dengan Pendekatan Saintific Approach Berbasis Lingkungan Sekitar terhadap Prestasi Belajar Siswa Usmayadi, Fartina, Khaerus Syahidi, Kertanah
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 1 No. 1 (2021): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v1i1.43

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan pembelajaran fisika dengan pendekatan Saintific Approach berbasis lingkungan sekitar terhadap prestasi belajar siswa pada materi usaha dan pesawat sederhana kelas VIII MTs NW Benteng. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan metode penelitian eksperimen dengan desain Quasi Experimental Design dan melibatkan dua variabel yaitu variabel bebas dan variabel terikat, variabel bebas yaitu Penerapan pembelajaran fisika dengan pendekatan saintific approach berbasis lingungan sekitar dan variabel terikat yaitu prestasi belajar siswa. Populasi dalam penelitian ini sebanyak 4 kelas dengan jumlah siswa 62 siswa. sampel pada penelitian ini berjumlah 30 siswa yang terdiri dari 15 siswa untuk kelas eksperimen dan 15 siswa untuk kelas kontrol. Hasil analisis data menunjukkan bahwa skor rata-rata hasil belajar siswa kelas eksperimen adalah 54,2 dan skor rata-rata hasil belajar siswa kelas kontrol adalah 42. Hasil uji hipotesis menggunakan uji t, dimana hasil perhitungan diperoleh atau 2,601 1,701yang berarti bahwa H0 di tolak dan Ha di terima. Dari hasil analisis tersebut diperoleh temuan bahwa terdapat pengaruh penerapan pembelajaran fisika dengan pendekatan Saintific Approach berbasis lingkungan sekitar terhadap prestasi belajar siswa pada materi usaha dan pesawat sederhana kelas VIII MTs NW Benteng.
A Study of Grouping of Earthquake Damage from Magnitude Scale in Lombok Using K-Means Modeling Kertanah; Alissa Chintyana; Chandrawati; Basirun; Mutia Rosiana Nita Putri; Nasibatul Mahmudah
Kappa Journal Vol 8 No 3 (2024): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i3.27563

Abstract

This study aims to group earthquake damage from its magnitude scale and visualize it on a geographical map. The magnitude of the earthquake was grouped using the K-means model. It is one of the most popular and effective clustering models in grouping data, such as earthquake data. The dataset used in this study is earthquake data for the last ten years on Lombok Island. The optimal number of clusters was used which is 2 in this case, based on the highest Silhouette score of 0.930. The highest Silhouette score shows the optimal number of clusters. The cluster on the geographical map shows most earthquakes' distribution in Northen Lombok Island with cluster 1 consisting of 145 earthquakes, while cluster 2 consists of 3 earthquakes. In addition, the earthquake's damage based on its magnitude scale, there were four different kinds of earthquake damage: slight, limited, minor, and severe damage that have occurred for the last ten years in Lombok Island. Minor and Slight damages were dominant, respectively. However, severe damage occurred in the northern part of Lombok Island due to an earthquake in 2018.
Co-Authors Abdul Rahim Aini, Sri Rahmatun Alissa Chintyana Amrullah, Lalu Muh. Ayundasari, Dita Septiana Baiq Aryani Novianti Baiq Husnul Khotimah Basirun Basirun Chandrawati Chandrawati, Chandrawati Fartina Hadian Mandala Putra Hasanah, Siti Hadijah Hendrayani, Hendrayani Irwan Rahadi Khaerus Syahidi laxmi zahara M. Hadiyan Amaly Mugni Bustari muhammad Aminuddin Muhammad Gazali Mutia Rosiana Nita Putri Mutia Rosiana Nita Putri Nasibatul Mahmudah Nurmayanti, Wiwit Pura Ramli, Tri Juliantin Ristu Haiban Hirzi Rody Satriawan Sabar Sabar Sapiruddin Sausan Nisrina Siti Hariati Hastuti Sya'roni, Muhammad Umam Hidayaturrohman Wiwit Pura Nurmayanti Yahya, Lalu Muhammad