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All Journal Jurnal Penelitian dan Penilaian Pendidikan DBESTI: Journal of Digital Business and Technology Innovation
Waluyo, Ahmad
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Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Other

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Pengembangan Sistem Backend Rekomendasi Produk Dengan Collaborative Filtering Berbasis Singular Value Decomposition Waluyo, Ahmad; Nabarian, Tifanny; Rosyidi, Lukman
DBESTI: Journal of Digital Business and Technology Innovation Vol 2 No 2 (2025): November, 2025 (On Going)
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/dbesti.v2i2.2003

Abstract

Recommendation systems have become a crucial component in enhancing user experience on e-commerce platforms, including PT Renos Marketplace Indonesia. However, the existing recommendation system was still random and unable to adapt to user preferences. This study aims to develop a product recommendation backend system based on Collaborative Filtering using the Singular Value Decomposition (SVD) algorithm. The methodology employed is Research and Development (R&D) with an Agile Scrum approach, along with performance evaluation using RMSE, MSE, and MAE metrics. The system was developed using FastAPI, PostgreSQL, and Python, and its functionality was tested using black-box testing methods. The implementation results show an RMSE of 0.1886, MSE of 0.0366, and MAE of 0.1242, indicating excellent prediction accuracy. Additionally, a user perception survey involving 11 internal respondents showed an average satisfaction score above 80%, with the highest score of 90.91% for the statement indicating that the system increases purchase likelihood. These findings demonstrate that the SVD algorithm is effective in generating relevant and personalized recommendations. The study concludes that the developed backend recommendation system successfully improves the efficiency and relevance of product recommendations and opens opportunities for further development through the integration of more complex user behavior data.
Menumbuhkan Inovasi Berbasis Logika: Pengaruh Penilaian Portofolio Autentik Reflektif dalam Konteks Deep Learning Terhadap Peningkatan Kualitas Argumentasi Kritis dan Solusi Kreatif Siswa. Waluyo, Ahmad; Kusumawardana, Sri Mulyawati; Dewi Lestari, Nita
Jurnal Penelitian dan Penilaian Pendidikan Vol. 7 No. 1 (2025)
Publisher : Sekolah Pascasarjana Universitas Muhammadiyah Prof. DR. Hamka bekerjasama dengan Himpunan Evaluasi Pendidikan Indonesia (HEPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jppp.v7i1.11583

Abstract

Background: 21st-century education necessitates students master Critical Thinking (Logical Argumentation) and Creative Thinking (Innovative Solutions). The Deep Learning (DL) context requires assessment tools that can capture these complex cognitive processes. Purpose: This study aims to evaluate the influence of implementing Reflective Authentic Portfolio Assessment within DL on enhancing the quality of students' critical argumentation and creative solutions. Methods: A quantitative Quasi-Experimental approach was utilized, employing a Nonequivalent Control Group Design. The sample consisted of high school students divided into an experimental group (reflective authentic portfolio) and a control group (traditional assessment). Data were analyzed using ANCOVA. Results and Discussion: The experimental group showed a significantly higher increase in both critical argumentation and creative solutions compared to the control group (p < 0.01). Reflection in the portfolio allowed students to review logic and refine solutions. Research Contribution: The main contribution is providing empirical evidence that Reflective Authentic Portfolio Assessment is an effective and valid instrument for promoting and measuring the integration of critical and creative thinking skills in a deep learning context.Latar Belakang: Pembelajaran Abad ke-21 menuntut siswa memiliki keterampilan Berpikir Kritis (Argumentasi Logis) dan Berpikir Kreatif (Solusi Inovatif). Konteks Deep Learning (DL) yang berfokus pada pemahaman mendalam memerlukan instrumen penilaian yang mampu menangkap proses kognitif tersebut. Tujuan: Penelitian ini bertujuan mengevaluasi pengaruh penerapan Penilaian Portofolio Autentik Reflektif dalam DL terhadap peningkatan kualitas argumentasi kritis dan solusi kreatif siswa. Metode: Penelitian ini menggunakan metode Quasi-Eksperimen dengan desain Nonequivalent Control Group Design. Sampel terdiri dari siswa SMA yang dibagi menjadi kelompok eksperimen (menerapkan portofolio autentik reflektif) dan kelompok kontrol (penilaian tradisional). Data dianalisis menggunakan ANACOVA. Hasil dan Pembahasan: Ditemukan bahwa kelompok eksperimen menunjukkan peningkatan signifikan pada kualitas argumentasi kritis dan solusi kreatif dibandingkan kontrol (p < 0.01). Refleksi dalam portofolio memungkinkan siswa meninjau ulang logika dan menyempurnakan solusi. Kontribusi Penelitian: Kontribusi utama adalah membuktikan bahwa Penilaian Portofolio Autentik Reflektif adalah instrumen yang efektif dan valid dalam mempromosikan dan mengukur integrasi keterampilan berpikir kritis dan kreatif dalam konteks pembelajaran mendalam.
Co-Authors Dewi Lestari, Nita Kusumawardana, Sri Mulyawati Lukman Rosyidi Nabarian, Tifanny