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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Abjadia, International Journal of Education Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat ELS Journal on Interdisciplinary Studies in Humanities JURNAL PENDIDIKAN TAMBUSAI AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of English Education and Teaching (JEET) Jurnal Abdi Masyarakat Saburai (JAMS) Journal of Mathematics and Scientific Computing With Applications Jurnal Minfo Polgan (JMP) JURNAL HUTAN TROPIS Jurnal Informasi, Perpajakan, Akuntansi, dan Keuangan Publik International Journal of Education and Digital Learning (IJEDL) Comdent: Communication Student Journal Jurnal Pengabdian Masyarakat Jurnal Ilmu Komunikasi Pattimura Jurnal Kimia Unand Jurnal Ilmiah Mahasiswa Pendidikan Kesejahteraan Keluarga JURNAL SAUDAGAR INDONESIA LINGUISTS : JOURNAL OF LINGUISTICS AND LANGUAGE TEACHING
Fadhillah, Nurul
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences Other

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Students’ Perception of Project Based Learning in Writing Class Fadhillah, Nurul; Sudjarwo, Sudjarwo; Habsari, Dwiyana
International Journal of Education and Digital Learning (IJEDL) Vol. 1 No. 3 (2023): International Journal of Education and Digital Learning (IJEDL)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijedl.v1i3.12

Abstract

The objective of this research was to find out students’ positive perceptions on the use of project-based learning in writing class. The project-based learning focused on the students’ perceptions and the benefits of their writing project. The data were collected through a questionnaire adapted from Unumeri, G.O (2009) and also interviews. The research method used a quantitative approach with descriptive statistic data analysis techniques. The subjects of this research were 60 senior high school students in SMA Qur’an Darul Fattah. The questionnaire results showed that most of the students had positive perceptions on the use of project-based learning. They agree that the material used in project-based learning is clear, interesting, and easy to understand. In addition, the use of project-based learning in learning activities can enhance their motivation and improve their writing skill. Furthermore, students have positive perceptions toward the teacher’s ability in guiding and facilitating them in project-based learning in writing class.
IMPLEMENTATION OF PRINCIPAL COMPONENT ANALYSIS (PCA) IN DIMENSION REDUCTION BASED ON INDONESIAN HEALTH DATA Rangkuti, Siti Rafiah; Fadhillah, Nurul; Sari, Rita Novita; Faigle, Ulrich
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 2 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i2.1313

Abstract

Indonesian health data for 2024 has multidimensional characteristics with a large number of interconnected variables, leading to high complexity in the analysis and visualization process. This complexity poses a challenge in generating information that is easy to understand and can support data-driven decision-making. This research aims to implement the Principal Component Analysis (PCA) method as a technique for dimension reduction and visualization of Indonesian health data. The research method used is a quantitative approach with descriptive-exploratory secondary data analysis. The research stages include data pre-processing, PCA implementation, principal component determination, variable contribution analysis, and data visualization using scatter plots and biplots. The research results show that PCA is able to significantly reduce the number of variables while still retaining most of the main information contained in the data. Principal component analysis-based visualization produces clearer and more easily interpretable patterns and structures in health data. Thus, PCA has proven effective in simplifying the complexity of national health data and supporting the presentation of more informative and actionable information for decision-making in the health sector.
Co-Authors Adlis Santoni Alifia, Widaring Ayu Altha, Aurel Julia Aminuyati Ana Fergina Andin, Asmi Andrianto, Lidya Anjani, Rafly Annisa, Putri Ari Nurweni Arkam Kaslin, Muh. Aidil Arnis, Devi Asrifan, Andi Asrori, Muhamad Chandra, Muhammad Yudika Eko Hariyanto Enriquez, Alexis Arizabal Faigle, Ulrich Fatchur Rozci Fatimah, Andi Fauziyah Hijrina Firdaus Fitriana . Habsari, Dwiyana Hasanah, Sari Uswatun Husnawati Istiqamah, Istiqamah Jufri, Muh Jumliana, Jumliana Juwita, Nur Aira Kamila, Mutia La Ode Asrun Azis R lubis, muhammad fauzan Mai Efdi Marlina Marlina Maulana, Daffa Aqshal Muna, Santri Zia Ningsih, Rizsari Nurjayanti Nurjayanti Nurlaila Nurlaila Patresia, Dita Pratiwi, Niken Resti Putri, Melinda Aprilia Putri, Olga Octyela Ayu Rahayu Mayang Sari, Rahayu Mayang Rahmat Febrianto Rangkuti, Siti Rafiah Ratna Sari Dewi Ropiah, Ai Siti Rosmala Dewi Sahib, Harlinah Santika, Murni Sari, Rita Novita Sridah, Ummul Sudjarwo Sudjarwo Sukmi, Nurul Amalia Surbakti, Chemayanti Syakirah, Maydhea Tiara Tri Tinnisa, Nurzakyya Tirtana, Ikhwan Tondang, Ika Sari Tri Utami, Andhini Triana, Riska Yassi, Abdul Hakim