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All Journal Media Informatika Journal of Practical Computer Science (JPCS) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Khazanah: Journal of Islamic Education and Science
Nor Anisa
Sistem Informasi, Fakultas Sains & Teknologi, Universitas Sari Mulia, Banjarmasin Timur, 70238, Indonesia.
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Other

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Analisis Big Data APS SLTA dan Strategi Pendidikan Menggunakan K-Means Berbasis Rapidminer Menuju Indonesia Emas Khoirun Nisa; Nor Anisa
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp11-16

Abstract

The Golden Indonesia Vision 2045 places education as the main pillar in creating superior human resources. School Participation Rate (APS) data is an important indicator to evaluate student access and participation in education. This study utilizes the K-Means Clustering method to analyze APS big data to identify patterns of education participation in Indonesia. The results of the analysis show significant participation clusters based on demographic, socio-economic, and geographical factors, and reveal gaps and potential for education improvement in various regions. In this study, RapidMiner is used as an analysis tool to process and visualize APS data. The results of clustering show a striking difference between areas with good access to education and areas with poor access to education. Factors such as income levels, educational infrastructure, and geographical location were found to have a major impact on student participation rates. Strategic recommendations include increasing access to education in disadvantaged areas through equitable distribution of education facilities, infrastructure development, and flexible data-based policies. In addition, scholarship programs in vulnerable areas are also proposed as a solution. This research supports strategic efforts towards the vision of Golden Indonesia 2045 by providing a strong foundation for policies that focus on the sustainability of national education.
Analisis Komprehensif Performa dan Teknologi Website ICC Sari Mulia Menggunakan Google Lighthouse, Wappalyzer, dan Apache JMeter Load Test Jannah, Raudhatul; Anisa, Nor
Media Informatika Vol 25 No 1 (2026)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37595/mediainfo.v25i1.523

Abstract

Penelitian ini menyajikan analisis diagnostik menyeluruh terhadap performa, stabilitas, dan arsitektur teknologi pada website ICC Sari Mulia guna memastikan pengalaman pengguna yang optimal serta keberlanjutan layanan digital. Pendekatan kuantitatif digunakan dengan memadukan hasil dari tiga alat utama: Google Lighthouse, Wappalyzer, dan Apache JMeter. Lighthouse digunakan untuk menilai kualitas front-end, termasuk kecepatan, aksesibilitas, praktik terbaik, dan SEO. Wappalyzer menganalisis susunan teknologi yang digunakan, seperti CMS, server web, dan framework. Sementara itu, Apache JMeter mensimulasikan beban untuk menguji ketahanan sistem back-end dan menentukan batas kapasitas pengguna bersamaan. Hasil analisis mengungkapkan beberapa aspek yang perlu ditingkatkan pada sisi performa front-end, seperti skor kecepatan yang rendah, serta potensi hambatan pada infrastruktur back-end saat menerima beban tinggi. Berdasarkan temuan tersebut, pembaruan versi teknologi disarankan untuk meningkatkan keamanan dan efisiensi. Secara keseluruhan, penelitian ini menghasilkan rekomendasi strategis yang dapat digunakan untuk mengoptimalkan website, meningkatkan skalabilitas, dan memperbaiki kualitas digital ICC Sari Mulia secara komprehensif.
Optimizing Big Data Driven Strategic Management to Enhance the Quality of Adaptive Contemporary Islamic Education Prasasti Karunia Farista Ananto; Cecep Hilman; Eka Muzalfitri Ridwan; Nor Anisa
Khazanah: Journal of Islamic Education and Science Vol. 2 No. 1 (2026): Khazanah: Journal of Islamic Education and Science
Publisher : Institut Bahri Asyiq Galis Bangkalan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61815/khazanah.v2i1.888

Abstract

Digital transformation in education has driven the utilization of large-scale data as a basis for strategic decision-making. However, Islamic education has continued to face limitations in integrating data-based approaches into its management systems, resulting in limited adaptability to change. This study aimed to analyze the optimization of big data -based strategic management in improving the quality of adaptive contemporary Islamic education. The study employed a descriptive qualitative approach with a meta-analysis method of scientific literature published between 2018 and 2025 from reputable digital databases. Data were collected through digital documentation using Boolean keyword techniques and were selected through a systematic protocol. Data analysis was conducted using content and thematic analysis to identify patterns, concepts, and relationships among variables. The findings indicated that the utilization of big data significantly enhanced the effectiveness of strategic management through the strengthening of data-driven planning, implementation, and evaluation. In addition, such integration improved the quality of Islamic education in terms of curriculum, governance, and institutional adaptability. This study contributed to the development of an integrative model of data-based Islamic education management relevant to the demands of the digital era.
Co-Authors adha, Fajar Cecep Hilman Eka Muzalfitri Ridwan Halimatur Rahmi KHOIRUN NISA Prasasti Karunia Farista Ananto Rahmi, Halimatur Raudhatul Jannah Rina Rina Saprizal, Arpan Mualief Saputra, Muhammad Bayu Saputra, Muhammad Fitri