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All Journal Community Engagement and Emergence Journal (CEEJ) Social Sciences Insights Journal
Damanik, Sri Karyani
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Humanities Economics, Econometrics & Finance Education Environmental Science Health Professions Social Sciences

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Integration of machine learning in e-commerce: A systematic literature review on consumer behavior prediction and product recommendation Syamsuri, Abd. Rasyid; Arohman, Rifki; Saputra, Muhammad Renaldy; Ikhlash, Muhammad; Damanik, Sri Karyani
Social Sciences Insights Journal Vol. 3 No. 3 (2025): Social Sciences Insights Journal
Publisher : MID Publisher International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60036/sg7wnx04

Abstract

This systematic literature review examines the integration of machine learning (ML) in e-commerce, focusing on consumer behavior prediction and product recommendation systems. Following PRISMA guidelines, we searched Scopus, Web of Science, IEEE Xplore, and ACM Digital Library, identifying 1,247 records. After screening, 48 peer-reviewed articles (2019-2024) were included. This review makes three novel contributions: (1) a taxonomy of ML algorithms categorizing approaches by function (prediction vs. recommendation) and technique (supervised, unsupervised, deep learning); (2) a comparative analysis of algorithm performance across different e-commerce contexts; and (3) identification of specific research gaps requiring investigation. Findings reveal that hybrid recommendation systems combining collaborative filtering with deep learning achieve superior accuracy (mean improvement of 15-23% over single-method approaches), while gradient boosting methods (XGBoost, LightGBM) demonstrate the highest predictive performance for purchase behavior. Critical challenges include cold-start problems, data sparsity, algorithmic bias, and privacy concerns. We propose an integrative framework mapping ML technique to specific e-commerce applications and identify five priority areas for future research. Limitations include English-language restrictions and potential publication bias toward positive results.
Analisis Kinerja Keuangan PT Aneka Tambang Tbk Dengan Metode Dupont Analysis Pada Periode 2021–2024 Ketaren, Sabila Ropina; Manurung, Tesalonika Septiana; Sembiring, Jessi Charina; Damanik, Sri Karyani
Community Engagement and Emergence Journal (CEEJ) Vol. 7 No. 4 (2026): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v7i4.10944

Abstract

Penelitian ini bertujuan untuk mengevaluasi kinerja keuangan PT Aneka Tambang Tbk (ANTAM) pada periode 2021-2024 dengan menggunakan pendekatan DuPont Analysis. Metode yang digunakan dalam penelitian ini adalah deskriptif kuantitatif, dengan data sekunder yang diperoleh dari laporan keuangan tahunan perusahaan. Analisis dilakukan berdasarkan lima indikator utama yaitu: Net Profit Margin (NPM), Total Asset Turnover (TATO), Equity Multiplier (EM), Return on Investment (ROI), dan Return on Equity (ROE). Hasil penelitian menunjukkan bahwa kinerja keuangan PT Aneka Tambang Tbk mengalami perubahan selama periode tersebut. Tahun 2022 tercatat sebagai periode dengan kinerja terbaik, ditandai oleh nilai Net Profit Margin (NPM) tertinggi sebesar 8,32% dan Return on Equity (ROE) mencapai 16,19%. Sebaliknya, tahun 2021 menunjukkan performa terendah, dengan Net Profit Margin (NPM) sebesar 4,84% dan Return on Equity (ROE) sebesar 8,94%. Perubahan nilai indikator-indikator tersebut mencerminkan dinamika dalam efisiensi operasional, tingkat profitabilitas, serta struktur permodalan perusahaan. Hasil analisis ini memberikan gambaran menyeluruh terhadap sumber profitabilitas dan efektivitas pengelolaan aset maupun modal di PT Aneka Tambang Tbk, sehingga dapat menjadi dasar evaluasi dan pertimbangan bagi pengambil kebijakan perusahaan dalam menentukan keputusan di masa mendatang.
Co-Authors Abd. Rasyid Syamsuri Arohman, Rifki Ketaren, Sabila Ropina Manurung, Tesalonika Septiana Muhammad Ikhlash Saputra, Muhammad Renaldy Sembiring, Jessi Charina