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Prediksi Indikator Sosial Ekonomi Indonesia Menggunakan Regresi Linear: Studi Kasus Multisektor Sheril Lestari; Lilis Roudhotul Jannah; Muhammad Kamil Fatih; Halili  Maar
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.1771

Abstract

Penerapan analisis data pada sektor strategis nasional penting untuk mendukung pengambilan keputusan berbasis data. Penelitian ini bertujuan untuk memprediksi dan membandingkan performa model regresi linear pada tiga dataset berbeda, yaitu: (1) Peringkat e-Government Indonesia tahun 2010–2020, (2) Produksi Gas Indonesia tahun 1995–1998, dan (3) Produk Domestik Bruto (GDP) Indonesia tahun 1960–1973. Masing-masing dataset dianalisis menggunakan algoritma regresi linear, dengan evaluasi performa model berdasarkan metrik R-squared (R²), Mean Squared Error (MSE), dan Root Mean Squared Error (RMSE). Hasil analisis menunjukkan bahwa model memberikan prediksi terbaik pada dataset e-Government dengan R² sebesar 0,9506 dan RMSE sebesar 1,78. Dataset GDP menunjukkan hasil cukup akurat dengan R² sebesar 0,8583, sedangkan dataset Produksi Gas memiliki R² sebesar 0,6251 dan RMSE sebesar 18.141,70 yang menunjukkan bahwa model masih mampu mengenali pola meskipun terdapat fluktuasi. Temuan ini mengindikasikan bahwa regresi linear tetap relevan untuk prediksi tren jangka pendek pada data time-series sederhana di berbagai sektor nasional, serta berpotensi digunakan dalam sistem pendukung keputusan kebijakan publik.
PENGEMBANGAN E-SYSTEM MANAJEMEN DATA SISWA DAN KEUANGAN SEKOLAH BERBASIS WEB STREAMLIT Faiz Rizqi Hanafi; Auzriel Zidan Arby; Lilis Roudhotul Jannah; Muhammad Rizky Ramadhan; Milani Nuril Sandi; Nandang Adriansyah; Shanasha Aulia Dianthi; Syerikha Ananda; Thio Mandala Putra; Zaqhluul Farhan; Nardiono
Abdi Jurnal Publikasi Vol. 4 No. 3 (2026): Januari
Publisher : Abdi Jurnal Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of information technology has encouraged educational institutions to adopt digital systems to improve administrative efficiency and data accuracy. However, many schools still rely on manual or semi-digital processes, particularly in managing student data and school financial administration. This condition was found at Sekolah Plus Pelita Insani Parung, where administrative and financial records were managed using spreadsheets, resulting in data duplication, reporting delays, and limited integration between student and financial data. This community service activity aims to develop a web-based e-system for student data and school financial management using the Streamlit framework, equipped with automated administrative reporting features. The implementation method included initial consultation, field observation, system design and development, system implementation, and training for administrative and financial staff. The developed system supports multi-user access, integrated student and financial data management, automated report generation, and data visualization to assist decision-making. The results show that the developed e-system successfully improves the efficiency and accuracy of administrative and financial data management. School staff were able to generate periodic reports more quickly and manage data in a centralized and structured manner. This system contributes to the digital transformation of school administration and enhances transparency and accountability in financial management.