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All Journal dCartesian: Jurnal Matematika dan Aplikasi AKSIOMA: Jurnal Program Studi Pendidikan Matematika JIPM (Jurnal Ilmiah Pendidikan Matematika) Jurnal Edukasi Matematika dan Sains Science and Technology Indonesia Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Basicedu SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Imajiner: Jurnal Matematika dan Pendidikan Matematika Pelita Eksakta ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Basicedu UNP Journal of Statistics and Data Science d'Cartesian: Jurnal Matematika dan Aplikasi Indonesian Journal of Statistics and Its Applications
Permana, Dony
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Effectiveness of Use of Islamic Integrated Mathematics E-Modules To Improve Mathematical Problem Solving Capability Khairi, Hanif; Permana, Dony; Yerizon; Arnawa, I Made
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.6247

Abstract

The unavailability of teaching materials that can support mathematical problem-solving abilities and are integrated with Islamic teaching values makes it difficult for SMP IT educators to hone students' mathematical problem-solving abilities and difficulties in instilling Islamic values in students. One solution that educators can use in learning is to use e-modules. E-module is a teaching material that has the characteristics of independent learning principles. This research aims to see the effectiveness of using mathematics e-modules that are integrated with Islamic values in facilitating students' mathematical problem-solving abilities. This type of research is pre-experimental research and the research design is one group pre-test-post test design. The sampling method is purposive sampling, where one class is taken directly from the population as a research sample. The subjects of this research were 24 students in class VIII.1 at SMP IT Qurrata A'yun Batusangkar. The effectiveness of the mathematics e-module can be seen from the comparison of the results of the pre-test and post-test of students' mathematical problem-solving abilities. The final results of the student's mathematical problem-solving ability test obtained were 57% of the total maximum score, while the results of the student's initial mathematical problem-solving ability test were only 22% of the maximum score. Because 57%>22%, these results indicate that the use of Islamic integrated mathematics e-modules is effective in facilitating students' mathematical problem-solving abilities.
Using AI for the Personalization of Mathematics and Science Education in Students Mardianingsih, Titin; Permana, Dony; Armiati; Harisman, Yulyanti
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.12557

Abstract

This research review explores the role of artificial intelligence (AI) in personalizing mathematics and science education to enhance student learning experiences and outcomes. The study synthesizes current research to examine how AI-driven technologies—such as adaptive learning systems, intelligent tutoring, and real-time feedback mechanisms—support individualized instruction aligned with students’ learning styles, paces, and cognitive needs. Findings indicate that AI significantly improves engagement, conceptual understanding, and problem-solving skills by leveraging data analytics and machine learning to deliver tailored content. These systems are grounded in established educational theories, including Mastery Learning and the Zone of Proximal Development. However, challenges remain, including unequal access to technology, algorithmic bias, data privacy concerns, and limited teacher preparedness, which hinder equitable implementation. The review also identifies gaps in longitudinal and context-specific research, particularly in under-resourced educational settings. The study concludes that while AI holds transformative potential for STEM education, its effective integration requires ethical design, inclusive policies, teacher training, and pedagogical alignment. For sustainable impact, AI should be implemented as a supportive tool within human-centered educational frameworks rather than a standalone solution.
Application of Area Sampling Frame for Digitizing Household Data in Talawi Mudiak to Support Sustainable Development Goals Syafriandi, Syafriandi; Fitria, Dina; Amalita, Nonong; Kurniawati, Yenni; Permana, Dony; Fitri, Fadhilah; Martha, Zamahsary; Mukhti, Tessy Octavia
Pelita Eksakta Vol 8 No 2 (2025): Pelita Eksakta, Vol. 8, No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol8-iss2/293

Abstract

Desa Talawi Mudiak menghadapi tantangan dalam pengelolaan data kependudukan. Meskipun mereka telah menyusun RPJMD 2022-2027 yang mengacu pada SDG's, pendataan yang dilakukan masih terbatas pada aspek kependudukan dan demografi. Padahal, pemutkhiran data harus mencakup 17 pilar SDg's agar dapat digunakan sebagai dasar dalam perencanaan pembangunan desa. Selain itu, keterbatasan akses internet dan kurangnya pemanfaatan teknologi informasi juga menjadi kendala pengembangan sistem informasi desa yang lebih komprehensif. Program Studi S1 Statistika hadir dalam menjembatani pencapaian beberapa pilar itu melalui pemutakhiran data hingga dilitalisasinya. Kegiatan diawali dengan pengumpulan data awal, perhitungan kerangka sampling, pelaksanaan survei, dan pemrosesan data pasca survei hingga diperoleh suatu kesimpulan yang dapat digunakan untuk pembangunan desa. Kegiatan melibatkan banyak pihak, mulai dari dosen program studi, perangkat desa, mahasiswa, dan masyarakat. Hasil yang diperoleh berupa data yang mutakhir dan sebuah buku berisikan kondisi Desa Talawi Mudiak tahun 2025.
Metode DBSCAN dalam Pengelompokan Provinsi di Indonesia Berdasarkan Rasio Tenaga Kesehatan dan Tenaga Medis pada Tahun 2023 Maharani, Listia; Martha, Zamahsary; Permana, Dony; Zilrahmi
UNP Journal of Statistics and Data Science Vol. 3 No. 4 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss4/423

Abstract

Health is a fundamental right of every citizen. This right is realized in the form of health services. Good health services have an adequate ratio of health and medical personnel. However, in reality, there are still many provinces that have a shortage of health and medical personnel. Therefore, clustering is carried out to make it easier for the government to group provinces that have similarities in terms of the ratio of health and medical personnel in Indonesia in 2023. Density Based Spatial Clustering of Applications with Noise (DBSCAN) is one of the clustering methods used. Using the DBSCAN method, two clusters were obtained with a silhouette coefficient value of 0.49. Cluster 0 is called noise because the observation points in group 0 are outliers. Cluster 0 consists of provinces with a higher ratio of healthcare and medical personnel than cluster 1.
Forecasting Foreign Tourists to West Sumatera Before and After COVID-19 Using ARIMA and Prophet and Its Impact on Foreign Exchange Alandra, Cindy Resha; Permana, Dony; Vionanda, Dodi; Fitria, Dina
Indonesian Journal of Statistics and Applications Vol 9 No 2 (2025)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v9i2p157-168

Abstract

Foreign exchange earnings are very important for the improvement of the economy in Indonesia, where these foreign exchange earnings can be obtained through the tourism sector. One of the provinces in Indonesia that is a major tourist destination is West Sumatra. The number of foreign tourists coming to West Sumatra is influenced by various factors, one of which is the COVID-19 pandemic that resulted in a decrease in visitor numbers. The research was conducted to forecast the number of foreign tourists to West Sumatra using the ARIMA and Prophet methods, as well as to calculate the loss and foreign exchange earnings and the forecasting accuracy of both methods. The data for this study was taken from the BPS West Sumatra website regarding the number of foreign tourists to West Sumatra from 2015 to 2024. In this data, forecasting for the year 2020 will be done using the ARIMA method and forecasting for the year 2025 using the Prophet method. The data in this study tends to be stable before the pandemic, making the ARIMA method suitable. Meanwhile, after the pandemic, the data fluctuated, making the Prophet method suitable. From the results obtained, the best ARIMA model is ARIMA (1, 0, 1). The forecasting accuracy is 1.82% with an estimated foreign exchange loss of $52,095,688 for the year 2020. Meanwhile, using the Prophet method, the forecasting accuracy obtained is 12.13% with an estimated foreign exchange revenue of $208,546,812 for the year 2025.
Co-Authors Abel, Latifa Azhar Ahmad Fauzan Alandra, Cindy Resha Amalia, Nonong Armiati Asmar, Ali Asrar, Astari Des Welyyanti Dina Fitria, Dina Dodi Vionanda Edwin Musdi Erliza, Refni Fishuri, Nufhika Fitri, Fadhilah Hamida, Zilfa Hamidah . I Made Arnawa Ikhsan, Easbi Jamaan, Elita Zusti Khairani, Devi Khairi, Hanif Maharani, Listia Mardhatillah, Aulia Nurul Mardianingsih, Titin Mawaddah, Nurul Muharromah, Arssita Nur Mukhti, Tessy Octavia Mukthi, Tessy Octavia Nonong Amalita Putri, Eno Dwi Putri, Sindy Amelia Rahmadila, Rahmadila Rahmadina Adityana Salma, Admi Sarkawi, M. Rafki Suherman, Suherman Syafriandi Syafriandi Syarifuddin, Hendra Tsani, Nahda Maesya Yenni Kurniawati Yerizon Yerizon Yerizon Yulianti, Lyra Yulyanti Harisman Zafirah, Hana Zamahsary Martha Zilrahmi, Zilrahmi