Amalia, Sarah
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Strategi Pembelajaran Pendidikan Agama Islam pada Peserta Didik Berkebutuhan Khusus Amalia, Sarah; Wahyudi, Winarto Eka; Aprilianto, Dwi
Jurnal Penelitian Pendidikan Islam Vol 10 No 2 (2022): Islamic Educational Studies
Publisher : Graduate Program, Universitas Islam Darussalam (UID) | Islamic University of Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36667/jppi.v10i2.705

Abstract

The purpose of this study was to describe learning planning, implementation of learning, and evaluation of Islamic religious education learning at SLB Negeri Gunungsari Boonegoro during the COVID-19 pandemic. This study used qualitative research apprtoaches with descriptive methods. The data collection methods are interviews and documentation. The data were collected by interviews and documentation. The data analysis technique used an interactive analysis model which included four components, namely data collection, data reduction, data presentation and drawing conclusions. This study found that (1) planning lessons for blind and mentally retarded students, analyzing effective days, compiling syllabus, planning learning programs and conducting assessments, teachers are more concerned with the availability of visual aids as media in the learning process; (2) the implementation of learning for blind and mentally retarded students emphasizes direct application or practice of reading iqra' for mentally retarded and procedures for carrying out prayers for the blind with concrete objects or real objects; (3) evaluation of learning outcomes of Islamic religious education for blind and mentally retarded children evaluation is more measured from the results of direct observation and practice.
A SCOPING REVIEW OF MHEALTH TECHNOLOGIES FOR PATIENTS UNDERGOING HAEMODIALYSIS Amalia, Sarah; Rochmawati, Erna
Indonesian Journal of Health Administration (Jurnal Administrasi Kesehatan Indonesia) Vol. 12 No. 2 (2024): December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jaki.v12i2.2024.325-337

Abstract

Background: The prevalence of patients requiring haemodialysis increases annually, highlighting the need for improved quality of care. Haemodialysis care involves several key aspects, including monitoring, education, and patient connectivity. The availability of mobile health (mHealth) technology enhances the effectiveness and efficiency of patient monitoring compared to conventional methods, ultimately improving patients’ quality of life. Aims: To map the development, types, and impact of mHealth technologies on patients undergoing haemodialysis. Methods: We conducted a scoping review following the Arksey and O’Malley methodological framework. We searched PubMed, Scopus, ScienceDirect, Google Scholar, CINAHL, and Sage Journals to identify relevant studies describing integrated mobile health applications for monitoring patients with CKD undergoing haemodialysis. Two independent reviewers screened and categorised findings based on predefined synthesis questions. Eleven studies representing various mHealth technologies were included. The PRISMA-ScR guidelines for scoping reviews were followed to ensure comprehensive reporting of results. Results: Out of 1,200 papers, 11 studies representing mHealth technologies were included. Most respondents were patients, though several articles also involved healthcare providers. We map our findings into three themes: the functionality of the applications, the types and features of mHealth technologies, and their impact. Conclusion: mHealth can be implemented as web-based or application-based platforms, offering innovative solutions for monitoring, education, and enhanced connectivity between patients and healthcare providers. Keywords: mHealth, haemodialysis, quality of life, monitoring, CKD
Pemodelan Perilaku Pengguna Shopee dengan Pendekatan Generalized Linear Model (GLM) dan Lasso Regularization Amalia, Sarah; Ananda, Nadia Rikza
Griya Journal of Mathematics Education and Application Vol. 5 No. 4 (2025): Desember 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i4.905

Abstract

Perkembangan pesat industri E-commerce mendorong perubahan perilaku konsumen menuju pola belanja digital yang dinamis. Shopee menjadi salah satu platform yang paling bayak digunakan di Indonesia berkat kemudahan akses, promosi, serta integrasi fitur transaksinya yang efisien. Penelitian ini bertujuan untuk membangun model perilaku pengguna Shopee dengan menggunakan pendekatan Generalized Linear Model (GLM) yang digabung dengan LASSO Regularization untuk mengidentifikasi variabel perilaku yang paling berpengaruh terhadap tingkat keaktifan pengguna. Data yang digunakan adalah data perilaku pengguna Shopee yang telah melalui tahap pembersihan dan standarisasi untuk memastikan kualitas analisis. Hasil seleksi variabel melalui LASSO menunjukkan lima faktor utama yaitu jumlah hari login, frekuensi login, aktivasi ShopeePay, jumlah pesanan, dan klaim voucher. Model GLM menghasilkan tiga variabel signifikan dengan nilai AUC sebesar 0.7325, menunjukkan kemampuan klasifikasi yang baik. Hasil evaluasi tambahan menunjukkan akurasi sebesar 65,4%, sensitivitas sebesar 85,5%, dan spesifisitas sebesar 48,5%. Nilai tersebut mengindikasikan bahwa model lebih baik dalam mengidentifikasi pengguna aktif dibandingkan pengguna tidak aktif, sesuai dengan karakteristik umum data perilaku pengguna. Temuan ini menegaskan bahwa intensitas interaksi dan aktivitas transaksi memiliki pengaruh lebih besar terhadap keaktifan pengguna dibandingkan frekuensi akses semata. Pendekatan GLM–LASSO terbukti efektif dalam membangun model perilaku pengguna yang stabil dan relevan bagi pengembangan strategi retensi pelanggan.