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All Journal Education Technology Journal Journal of Research Analysis and Management Reviews Jurnal Paradigma Grobogan
Faridhatun Nikmah
Universitas Islam Negeri Raden Mas Said Surakarta
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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Analisis Perbandingan Algoritma Machine Learning Dalam Prediksi Akademik Mahasiswa Berbasis Data Apriliana Putri Maulikha; Najwa Aisha Hirania Hirania; Fatecha Athallah Ahmad; Celvin Rasya Pamungkas; Muhammad Faiz Ardiansyah; Faridhatun Nikmah
Edutechno : Educational Technology Journal Vol. 2 No. 01 (2026): Volume 02 Nomor 01 (Juni 2026)
Publisher : PT Ininnawa Paramacitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62330/edutechno.v2i01.798

Abstract

Tingginya angka kegagalan akademik merupakan salah satu indikator signifikan yang memengaruhi kualitas dan akreditasi institusi perguruan tinggi. Penelitian ini bertujuan untuk menganalisis perbandingan algoritma Machine Learning dalam memprediksi performa akademik dan merumuskan strategi cara mengatasi mahasiswa yang teridentifikasi berisiko gagal. Metode penelitian yang digunakan yaitu Systematic Literature Review (SLR) terhadap literatur yang dipublikasikan antara tahun 2019-2025. Hasil analisis menunjukan bahwa algoritma Decision Tree (C4.5) merupakan model paling optimal untuk pengelompokkan risiko dengan tingkat akurasi mencapai hingga 97.80% yang mampu menangani dalam data administratif yang bersifat kategorikal. Sementara itu, analisis regresi linear menunjukkan adanya korelasi linear yang kuat antara perilaku belajar mahasiswa dengan capaian akademik, variabel presensi juga memberikan kontribusi sebesar 94% (R2 = 0,94) terhadap akurasi prediksi. Tidak hanya itu temuan lain mengungkapkan bahwa integrasi data real time dari Learning Management System (LMS) secara signifikan dapat meningkatkan presisi pada model dibandingkan dengan penggunaan data historis statis. Simpulan penelitian ini menegaskan bahwa penerapan hasil prediksi melalui Early Warning System yang diintegrasikan dengan bimbingan akademik intensif oleh Dosen Pembimbing Akademik (DPA) merupakan solusi efektif untuk menekan angka kegagalan studi secara dini dan objektif.
Analisis Data Konsumsi BBM sebagai Respons Kebijakan Efisiensi akibat Penutupan Selat Hormuz Elvina Alya; Naufal Faaiq Alluqman; Habibi Khoirul Rosit; Taqiy Faqihuddin; Alvin Adrian Fauzi Pramudita; Faridhatun Nikmah
JARUM: Journal of Analysis Research and Management Review Vol. 3 No. 2 (2026): May
Publisher : PT. Samudra Solusi Profesional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62952/jarum.v3i2.128

Abstract

Global energy demand, which still heavily depends on fossil fuels, has made world energy stability highly influenced by international geopolitical conditions. One of the most strategic regions in global oil distribution is the Strait of Hormuz, meaning that disruptions in this route can affect global oil prices and impact fuel consumption in various countries, including Indonesia. This study aims to analyze fuel oil (BBM) consumption as a response to energy efficiency policies resulting from geopolitical dynamics in the Strait of Hormuz and to identify their impacts on Indonesian society. This research employs a qualitative method with a descriptive approach. The data used are secondary data obtained from scientific journals and various other supporting sources. Data collection techniques were carried out through documentation studies and literature reviews, which were then analyzed descriptively to understand the relationship between global geopolitical conditions, fuel efficiency policies, and changes in public consumption patterns. The results show that the threat of disruption to oil distribution in the Strait of Hormuz has caused an increase in global oil prices, which consequently affected fuel price adjustments in Indonesia. These conditions encouraged the government to implement efficiency policies such as restrictions on subsidized fuel, digital distribution monitoring, biodiesel development, and the promotion of electric vehicles. These policies have influenced public behavior in energy consumption and increased public awareness of the importance of national energy efficiency.
Strategi Manajemen Risiko Kredit BRI dalam Mendukung Program Pemulihan Ekonomi Nasional pada Covid-19 Faridhatun Nikmah
Jurnal Paradigma Grobogan Vol. 3 No. 1 (2026): June: Jurnal Paradigma Grobogan
Publisher : Badan Perencanaan Pembangunan Riset dan Inovasi Daerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58684/paradigma.v3i1.107

Abstract

The Covid-19 pandemic significantly affected national economic stability, particularly the banking sector, which faced rising credit risk as debtors’ ability to meet payment obligations declined. Bank Rakyat Indonesia (BRI), as a state-owned bank focused on financing micro, small, and medium enterprises (MSMEs), is required to maintain credit quality while supporting the National Economic Recovery (PEN) Program. This study aims to analyze BRI’s credit risk management strategies in supporting national economic recovery and to examine its efforts to empower MSMEs during the pandemic. This research uses a descriptive qualitative method, with data collected from relevant sources such as articles, ebooks, journals, magazines, newspapers, and other documents. The findings show that BRI supported government recovery programs through several mechanisms, including credit restructuring for Covid-19-affected debtors, MSME credit distribution, interest subsidy stimulus, government-guaranteed MSME financing, People’s Business Credit (KUR), BPUM assistance, and wage subsidy distribution. In addition, BRI empowered MSMEs through programs such as UMKM Export Brilianpreneur 2020, BRIncubator, Desa BRILian, Pengusaha Muda BRILian, and Rumah BUMN. It can be concluded that BRI helped the government support economic recovery by distributing assistance and strengthening MSME empowerment to ensure business continuity during the pandemic.
Co-Authors Alvin Adrian Fauzi Pramudita Apriliana Putri Maulikha Celvin Rasya Pamungkas Elvina Alya Fatecha Athallah Ahmad Habibi Khoirul Rosit Muhammad Faiz Ardiansyah Najwa Aisha Hirania Hirania Naufal Faaiq Alluqman Taqiy Faqihuddin