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All Journal Jurnal Siasat Bisnis Jurnal Akuntansi & Auditing Indonesia Future : Jurnal Manajemen dan Akuntansi JURNAL AKUNTANSI, EKONOMI dan MANAJEMEN BISNIS JOURNAL OF APPLIED ACCOUNTING AND TAXATION JOURNAL OF APPLIED BUSINESS ADMINISTRATION JOURNAL OF APPLIED MANAGERIAL ACCOUNTING Journal of Contemporary Accounting Ecobisma (Jurnal Ekonomi, Bisnis dan Manajemen) Jurnal Penelitian Ekonomi Akuntansi (JENSI) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Abdimas ADPI Sosial Dan Humaniora Jurnal Bisnis Mahasiswa Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Social Sciences Insights Journal Journal of Sustainable Community Development
Muhammad Ikhlash
Politeknik Negeri Batam
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Pendampingan Optimalisasi Digital pada Social Enterprise di Batam Jannah, Izzatul; Imanez Desta Anria; Riskiyani Putri Nandika; Dzakya Husnul Haura; Julia Ariani Utami; Catrin Virginia Saragi; Astica Wulan Dani; Zaskia Nazwa Maharani; Adika Triyansyah; Muhammad Raghib Alghifari; Susi Lestari; Nadia Fathurrahmi Lawita; Dewi Junita; Sarah Ulfah Al Amany; Mega Mayasari; Arif Darmawan; Danar Irianto; Muhammad Ikhlash
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 7 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v7i2.11812

Abstract

This community service activity aims to enhance the capacity of social enterprise actors in Batam City through training and mentoring on the use of digital applications. Social enterprise is a form of enterprise that is not only profit-oriented but also has a social mission to create a positive impact on the community. Prior to the training, the implementation team conducted interviews and data collection to identify the level of digital literacy, technology needs, and challenges faced by the social enterprise actors. The data collection results showed that most social enterprise actors have high motivation to develop but are still limited in their mastery of digital technology and online marketing. The digital application training activities, carried out by lecturers and students of the Batam State Polytechnic, were then focused on the use of Microsoft Excel and Canva digital applications. These two applications were chosen based on the priority needs of the Social Enterprises, which are expected to assist in financial management, promotion, and increasing the operational efficiency of their social businesses. Through this training, social enterprise actors are expected to be able to optimize digital technology to expand the social and economic impact of their businesses. This activity is a strategic step in driving digital transformation based on community empowerment.
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.
Co-Authors A Halim Abd. Rasyid Syamsuri Ade Parlaungan Nasution, Ade Parlaungan Adhitomo Wirawan Adi Irawan Setiyanto Adika Triyansyah Aditya Wirangga Pratama Afifah, Thalia Agung Joni Saputra Agus Anjar Akbar, Hardhan Syaifullah Andi Erna Mulyana Arif Darmawan Arohman, Rifki Asmu'i, Faishal Astica Wulan Dani Aulia Bredi, Karina Nisa Bayu Efendi Cahyo Budi Santoso Catrin Virginia Saragi Damanik, Sri Karyani Danar Irianto Desi Ratna Sari Desi Ratna Sari, Desi Ratna Diah Amaliah Dinda Karasinta Hasibuan Doni Putra Utama Dzakya Husnul Haura Esmeralda, Angel II P. Fandy Bestario Harlan Fathia Mayang Sari FEBRINA WULANDARI Firdaus Hamta, Firdaus Hajan Hidayat Halim, Abd Halim, Muhammad Irsyad Harlan, Fandi Bestario Herjunda Faghfirka Tama Huwaida, Jihan Hana Imanez Desta Anria Irazulfia Irianto, Danar Irsutami Irsutami Irsutami Irsutami Irsutami Irsutami Irsutami Irsutami, Irsutami Jannah, Izzatul Jessica Olifia Julia Ariani Utami Junita Lubis Khairiansyah Khairiansyah Lubis, Nasrul Kahfi Lubis, Nasrul Kahfi Mahzura Harahap Maryani Septiana Mayasari, Mega Mia Syafrina Muhammad Qomaruddin Ridwan Muhammad Raghib Alghifari Muhammad Ramadhan Slamet Muhammad Zaenuddin Mulya Rafika Mulyaningtyas, Dian Nadia Fathurrahmi Lawita Nanik Lestari Nur Rahmah Andayani Praida Hansyah Pristiyono Pristiyono Purba, Theresia PUTRI WULANSARI Rahmadi, Muhammad Raihan Habibi Rahmat Hidayat Riri Zelmiyanti Riri Zelmiyanti, Riri Riskiyani Putri Nandika Saputra, Muhammad Renaldy Sarah Ulfah Al Amany Sembiring, Tiara Ayodhya Maharani Setiani, Cindy Sihombing, Ronaldo Antonius Sinarti, Sinarti Sinarti, Sinarti Slamet Soebagiyo Sri Zuliarni Sugeng Riadi Sugeng Riyadi SUMIYATI SUMIYATI Susi Lestari Syuaib, Mustaqim Tri Anggraini Utama, Doni Putra Winanda Wahana Warga Dalam Yulinda Yulinda Zaskia Nazwa Maharani