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Penerapan Data Mining Untuk Memprediksi Prestasi Akademik Mahasiswa Menggunakan Algoritma C4.5 dengan CRISP-DM Pratama, Suprayuandi; Iswandi, Iswandi; Sevtian, Andre; Anjani, Tsabita Putri
Journal of Applied Informatics and Computing Vol. 7 No. 1 (2023): July 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i1.4998

Abstract

Because student data can be used to examine student academic accomplishment, or student achievement index data, student data is a very valuable database. Data on student performance is available at Muhammadiyah University of Bangka Belitung's Faculty of Engineering and Science, which houses study programs in computer science, civil engineering, and natural resource conservation. The data are analyzed using them. The C4.5 Algorithm is used in conjunction with a classification data mining technique on student data to forecast academic progress. A decision tree is constructed using algorithm C4.5. Decision trees are helpful for investigating data and uncovering undiscovered connections between numerous input factors and one goal variable. Performance outcomes are derived from the analysis results by categorizing student data. This serves as a resource for lecturers and students to enhance classroom learning and discipline among students.
Training on STEAM learning design through kirigami, tessellation and simple robotics Rahmadi, Imam Fitri; Putra, Yudi Yunika; Pratama, Suprayuandi
Community Empowerment Vol 10 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12339

Abstract

Pedagogical and content-related issues are the main challenges in implementing Science, Technology, Engineering, Arts, and Mathematics (STEAM) learning. Moreover, teachers have not fully understood the concept of the STEAM approach. Therefore, it is necessary to enhance their skills in designing and implementing project-based learning, as well as ensuring that learning content is connected to real-life contexts and integrated across disciplines. This community service program aims to develop STEAM learning innovations through project-based and experiential learning models using kirigami, tessellation, and simple robotics. The method is designed based on a partnership concept, grounded in pedagogical co-designing activities, consisting of four stages: pre-activity, socialization, training, and evaluation. The results indicate an improvement in teachers’ understanding of the STEAM approach. Additionally, teachers successfully enhanced their skills in designing STEAM learning using kirigami, tessellation, and simple robotics.
Sistem Rekomendasi Program Studi Sarjana Berbasis Machine Learning Untuk Model Klasifikasi Calon Mahasiswa Baru Akbar, Ali; Yogi; Ananto; Pratama, Suprayuandi
Jurnal Teknologi Informasi dan Masyarakat Vol 1 No 1 (2023): Journal of Information Technology and Society (JITS)
Publisher : Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v1i1.20

Abstract

The Recommendation System can produce system requirements data that is more descriptive and easy to implement into software. Recommendation methods are combined to form more comprehensive recommendations based on fermat points. The education sector has never been indifferent to new technologies, and eventually switched to using the Internet. Prior to conducting this research, a review was carried out on various previous research results related to the lack of the role of knowledge space and user preferences in the data visualization recommendation system [3]. Broadly speaking, this study uses the method of recommending the Analysis and Discussion system. One of the main elements that must be considered in the system analysis stage is software problems, because the software used must be in accordance with the problem to be solved. In this stage, the search and collection of data and knowledge obtained by the expert system are carried out. A machine learning-based recommendation system for undergraduate study programs can help prospective new students choose the right study program according to their interests and talents. The classification model used can produce fairly high accuracy in recommending undergraduate study programs to prospective new students.
Developing E-Book Based on Multimodal Digital Storytelling Approach to Enhance the Seventh Grade Students’ English Skills Amelia, Pratiwi; Handayani, Rindu; Pratama, Suprayuandi
Linguists : Journal of Linguistics and Language Teaching Vol 10, No 2 (2024): December
Publisher : Universitas Islam Negeri (UIN) Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/ling.v10i2.5203

Abstract

Despite the widespread research on the use of technology and multimodal digital storytelling to boost the students ‘learning, there are only fewer studies conducted in junior school circumstances. To fill this gap, this study aims to develop e-book based on multimodal digital storytelling and local wisdom to enhance the seventh-grade students’ English skills. The framework of technological, pedagogical, content and technological knowledge (TPACK) adopted as the theoretical background in this study. Research and development (R&D) method through ADDIE model was employed to construct e-book based on the seventh-grade students’ needs in learning language in which consist of five stages namely Analysis, Design, Development, Implementation, Evaluation. The findings showed that e-book based on multimodal digital storytelling approach able to create interactive activities to improve the students’ competencies in generating ideas, igniting creativity, and developing multimodal literacy. The findings also reveal that multimodal digital storytelling approach adopted are applicable to junior school students to improve their motivation in learning language.
ETIKA DIGITAL DALAM BERMEDIA SOSIAL PADA KEHIDUPAN SEHARI-HARI DI KELURAHAN AIR JUKUNG Pratama, Suprayuandi; Ardiansah, Feri; Mariska, Dina; Anjani, Tsabita Putri
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.35816

Abstract

Penggunaan media sosial di Kelurahan Air Jukung, Kecamatan Belinyu, semakin meningkat seiring dengan perkembangan era digital. Namun, hal ini memunculkan tantangan terkait etika digital seperti penyebaran hoaks, pelanggaran privasi, dan perilaku tidak pantas. Program pengabdian masyarakat ini dipilih karena kesadaran masyarakat terhadap pentingnya verifikasi informasi dan perlindungan data pribadi masih rendah. Tujuan program ini adalah meningkatkan literasi digital, khususnya dalam aspek etika digital, melalui edukasi tentang verifikasi informasi, perlindungan data pribadi, perilaku sopan di media sosial, serta dampak hukum dari pelanggaran etika digital. Metode yang digunakan meliputi audiensi dengan kepala kelurahan untuk mengidentifikasi permasalahan, penyusunan panduan materi, edukasi kepada masyarakat, serta diskusi dan evaluasi bersama. Program ini melibatkan pelajar, orang tua, dan pelaku usaha lokal, di mana pelajar diajarkan penggunaan media sosial yang bijak, orang tua dibekali cara membimbing anak-anak dalam dunia digital, dan pelaku usaha diberi wawasan tentang etika berbisnis online. Kerja sama dengan pemerintah lokal, sekolah, dan organisasi masyarakat setempat menjadi faktor kunci keberhasilan. Hasil yang diharapkan adalah terbentuknya ekosistem digital yang sehat dan produktif di Kelurahan Air Jukung, yang juga dapat menjadi model bagi daerah lain dalam meningkatkan literasi dan etika digital, serta mendukung perkembangan ekonomi lokal melalui pemanfaatan teknologi yang lebih etis dan bertanggung jawab.