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All Journal Jurnal Pengajaran MIPA Journal of Natural Science and Integration JURNAL PETIK Journal of Education Technology International Journal of Electronics and Communications Systems Digital Transformation Technology (Digitech) Jurnal Guru Komputer Jurnal Pendidikan Teknologi Informasi dan Komunikasi Journal of Environment and Sustainability Education Tabasa: Jurnal Bahasa, Sastra Indonesia, dan Pengajarannya
Eki Nugraha
Universitas Pendidikan Indonesia
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Physics Social Sciences Other

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School Feasibility Analysis and Grade Improvement Strategies Using the Random Forest Algorithm Aliyya, Farrel Rahma; Farizi, Syahandhika Naufal; Riza, Lala Septem; Megasari, Rani; Nugraha, Eki; Wahyudin, Asep
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 4 No. 2 (2025): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v4i2.475

Abstract

Background of Study: Educational disparities across Indonesian provinces persist, particularly in infrastructure, teacher quality, and dropout rates, necessitating data-driven analysis for equitable improvements.Aims: This study investigates school feasibility and proposes strategies to enhance provincial education performance using the Random Forest algorithm.Methods: Aggregated provincial education data covering student numbers, dropout rates, teacher qualifications, and classroom conditions were transformed into derivative indicators. A binary classification (Feasible/Not Feasible) based on national dropout median was applied. The model was developed using R with six systematic steps, including training and evaluation of a Random Forest model (ntree = 100, mtry = 3) using accuracy, sensitivity, and specificity.Result: The model accurately classified school feasibility. Key predictors included teacher quality, student-teacher ratios, and classroom conditions. Several provinces were identified as “Not Feasible.”Conclusion: Machine learning proves effective for education policy support. The study offers targeted recommendations such as improving infrastructure, enhancing teacher training, and reducing dropouts to promote equitable education in Indonesia.
Hybrid Database Architecture for Retail Big Data Analytics: PostgreSQL vs MongoDB Performance Analysis Noor, Tubagus Firman Iskandar; Nugraha, Eki; Maknun, Johar; Kustiawan, Iwan; Shaymanov, Farxod Xushbakovich
International Journal of Electronics and Communications Systems Vol. 5 No. 2 (2025): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v5i2.28108

Abstract

The rapid growth of retail big data has intensified the challenge of selecting a database architecture that can balance analytical performance and resource efficiency, particularly in data-intensive retail environments. This study aims to conduct a comparative performance analysis between PostgreSQL 16 and MongoDB 8.0 in the context of implementing big data analytics in the retail industry. An experimental quantitative approach is used, utilizing a large-scale, real-world retail sales and inventory dataset to benchmark PostgreSQL 16 and MongoDB 8.0 across a range of representative analytical workloads. Results show MongoDB is 28-31% faster in query processing, but PostgreSQL is 13-17% more efficient in resource usage (CPU, RAM, Storage I/O) and requires 6x less storage. These results indicate that MongoDB consistently achieves faster execution times for read-intensive analytical queries, especially in large-scale aggregation operations. Conversely, PostgreSQL exhibits superior storage efficiency and lower computational resource consumption due to its normalized relational architecture. These findings reveal a fundamental trade-off between analytical speed and infrastructure efficiency in retail big data systems. This research contributes to the development of hybrid data architecture strategies for big data analytics in the retail industry, supporting performance optimization and informed decision-making in data-rich environments
Alignment of Poetry Instructional Design with Cognitive Load Theory Principles: A Survey of Junior High School Teachers Nugroho, Rudi Adi; Indra Nugrahayu Taufik; Puspita, Yulia; Encep Kusumah; Nugraha, Eki; Nurulrabihah Mat Noh
Tabasa: Jurnal Bahasa, Sastra Indonesia, dan Pengajarannya Vol. 7 No. 01 (2026)
Publisher : UIN Raden Mas Said Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/tabasa.v7i01.14481

Abstract

This study intends to analyze the use of presentation-based poetry teaching material design based on the concepts of Cognitive Load Theory (CLT) for Indonesian language instructors in junior high schools in Bandung and Cimahi. In teaching poetry as a complicated literary text, the cognitive load must be carefully managed so that the process of comprehension does not surpass the capacity of students. The research was conducted by using a survey, descriptive-evaluative approach, involving 69 Indonesian language teachers at junior high schools in Bandung and Cimahi. The tools were built in accordance with the three dimensions of CLT: management of intrinsic load, reduction of extraneous load, and optimization of germane load. The data were analyzed descriptively to show the patterns of instructional material design and their conformance to CLT principles. The study found that the use of PowerPoint and Canva is very much present in poetry learning. However, the design still does not entirely comply with the principles of CLT. The presenting materials in the learning process are not yet fully organized considering the effectiveness of material distribution. High text density and non-instructional graphic elements can lead to an increase in unnecessary load. Some of the presentation materials include reflection tasks that might help alleviate cognitive load. The results suggest that the instructional design quality of the poetry teaching materials is not fully consistent with the concepts of Cognitive Load Theory (CLT). The present instructional materials, although not entirely consistent with the principles of CLT, offer significant potential for further growth by including media based on digital technology. Studi ini bertujuan untuk meneliti penerapan desain bahan ajar puisi berbasis presentasi berdasarkan prinsip-prinsip Teori Beban Kognitif (CLT) bagi guru bahasa Indonesia di sekolah menengah pertama di Kota Bandung dan Kota Cimahi.  Pengajaran puisi sebagai teks sastra yang kompleks perlu melibatkan pengelolaan beban kognitif secara hati-hati agar proses pemahaman tidak melebihi kemampuan siswa.  Studi ini adalah penelitian survei dengan metodologi deskriptif-evaluatif, yang dilakukan pada 69 guru bahasa Indonesia di sekolah menengah pertama di kota Bandung dan Cimahi.  Alat-alat tersebut dirancang berdasarkan tiga dimensi CLT, yaitu manajemen beban intrinsik, pengurangan beban ekstrinsik, dan optimalisasi beban germane.  Data dievaluasi secara deskriptif untuk mengungkap pola desain bahan ajar dan kesesuaiannya dengan prinsip-prinsip CLT.  Temuan studi menunjukkan bahwa penggunaan Powerpoint dan Canva cukup menonjol dalam pembelajaran puisi.  Akan tetapi desainnya masih belum sepenuhnya sesuai dengan prinsip-prinsip CLT.  Bahan presentasi materi dalam pembelajaran belum sepenuhnya disusun secara baik dengan mempertimbangkan efektivitas penyampaian materi. Terdapat banyak kepadatan teks dan fitur grafis non-instruksional yang dapat menyebabkan peningkatan beban berlebih.  Pada beberapa bahan presentasi terdapat kegiatan reflektif dapat mengurangi beban kognitif.  Hasil ini menunjukkan bahwa kualitas desain instruksional bahan ajar puisi belum sepenuhnya sesuai dengan prinsip Cognitive Load Theory (CLT). Meski belum sepenuhnya sesuai dengan prinsip CLT, bahan ajar yang ada memiliki potensi yang besar untuk dikembangkan lagi dengan melibatkan media-media berbasis teknologi digital.
Co-Authors A. Suhandi Achmad Samsudin Aim Abdulkarim Akbar, Anthonio Aliyya, Farrel Rahma Asep Wahyudin Didin Wahyudin Encep Kusumah Enjang Ali Nurdin Faizal, Mochammad Yusuf Farizi, Syahandhika Naufal Fratiwi, Nuzulira Janeusse Gintara, Andre Rangga Hadi Nasbey Hera Novia Hikmawan, Rizki Indra Nugrahayu Taufik Iwan Kustiawan Jasmine Tsania Johar Maknun, Johar Kapıcı, Hasan Özgür Lala Septem Riza Maqruf, Ahmad Nazir, Shah Ningsih, Dena Tresna Ningsih, Siti Widya Noor, Tubagus Firman Iskandar Nugroho, Rudi Adi Nurdini Nurdini, Nurdini Nursalman, Muhammad Nurulrabihah Mat Noh Putro, Budi Laksono Rani Megasari Shaymanov, Farxod Xushbakovich Sonjaya, Rebina Putri Sözbilir, Mustafa Wahyudin Wawan Setiawan Yulia Puspita, Yulia Zahran, Muhammad