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All Journal SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Pendas : Jurnah Ilmiah Pendidikan Dasar JTM - Jurnal Teknik Mesin Frontier Energy System and Power Engineering JURNAL FLYWHEEL Riwayat: Educational Journal of History and Humanities Diakoneo: Jurnal Pengabdian kepada Masyarakat Lentera Negeri
Mangngi, Frans
Politeknik Negeri Kupang
Humanities Automotive Engineering Control & Systems Engineering Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Predictive waste management in SMEs through lean manufacturing and machine learning Muhammad Alwi; Gideon Kajang; Irvan Darmawan A Djamro; Frans Mangngi
Lentera Negeri Vol. 7 No. 1 (2026): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/992070

Abstract

This study examines the integration of Lean Manufacturing (LM) and Machine Learning (ML) for waste prediction and production process optimization in Small and Medium Enterprises (SMEs) in the digital era. The study employed a Systematic Literature Review (SLR) approach following the PRISMA framework by analyzing publications retrieved from Scopus, Web of Science, ScienceDirect, IEEE Xplore, Google Scholar, and national accredited journal databases. The review focused on studies published within the last ten years and applied explicit inclusion and exclusion criteria. From an initial pool of 485 records, 15 studies were selected for final analysis. Data were synthesized using thematic analysis to identify key themes, integration mechanisms, benefits, and implementation challenges associated with Lean Manufacturing and Machine Learning integration. The findings revealed five dominant themes: waste identification and reduction, predictive analytics and forecasting, production process optimization, implementation barriers in SMEs, and digital transformation readiness. The review indicates that Lean Manufacturing contributes to the systematic identification and elimination of operational waste through continuous improvement practices, while Machine Learning enhances predictive capabilities through data-driven analysis, real-time monitoring, and early detection of operational inefficiencies. The synthesis further suggests that integrating LM and ML may enable SMEs to shift from reactive waste management toward more predictive and proactive production management. However, several implementation barriers were identified, including limitations in human resources, technological infrastructure, data availability, and organizational readiness. This study contributes a conceptual framework explaining the theoretical mechanisms linking LM and ML in SME production systems. The framework highlights how predictive analytics can support waste reduction, process optimization, and digital transformation initiatives. Nevertheless, the findings are derived from literature synthesis rather than primary empirical evidence and therefore require further validation through future case studies, surveys, and industrial implementation projects.
Peningkatan Kompetensi Penulisan Artikel Ilmiah dan HAKI bagi Dosen Melalui Workshop pada Tim Riset Colony Cage Politeknik Negeri Kupang Marsianus M F Hanmina; Frans Mangngi; Lodia Semaya Amnifu; Viky G L Radja Pono; Sulche I Nafi; Gerson Y I Sakan; Boy Bistolen; Jemsy Ronal Rohi
Diakoneo : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2025): Desember
Publisher : Politeknik Negeri Kupang

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Abstract

Workshop penulisan artikel dan Hak Kekayaan Intelektual (HAKI) ini bertujuan untuk meningkatkan kemampuan tim dosen yang tergabung dalam riset colony cage pada Politeknik Negeri Kupang. Workshop ini bertujuan untuk menghasilkan artikel ilmiah berkualitas dan juga memahami Hak Kekayaan Intelektualyang di hasilkan dari riset terapan, khususnya bagi tim yang mengembangkan teknologi dalam penelitian colony cage. Metode pelaksanaan meliputi sosialisasi, diskusi interaktif, dan pendampingan intensif dalam penyusunan artikel serta dokumen HAKI yang diikuti oleh sepuluh dosen anggota tim peneliti. Hasil dari kegiatan tersebut menunjukkan adanya peningkatan yang signifikan bagi tim riset colony cage, di mana kemampuan dosen dalam menyusun artikel yang sistematis sesuai dengan standar jurnal nasional atau internasional meningkat drastis, yang di buktikan dengan tim periset berhasil menyusun dan menerbitkan tiga jurnal pada jurnal yang terindeks Sinta 4, dan satu dokumen HAKI dalam proses pemeriksaan substansial. Diharapkan workshop ini dapat meningkatkan kualitas dosen yang tergabung dalam tim riset colony cage dalam penulisan artikel dan HAKI, serta mendorong penerapan hasil penelitian secara optimal dan memperkuat produktivitas akademik dosen, reputasi institusi, dan mendorong budaya penelitian yang berkelanjutan di kalangan dosen.
Co-Authors Boy Bistolen Gerson Y I Sakan Gerson Yohanes Imanuel Sakan Gideon Kajang Hanmina, Marsianus M F Irvan Darmawan A Djamro Jemsy Ronal Rohi Laka, Agustinus Lodia Semaya Amnifu Lodia Semaya Amnifu Made Indra Aryana Muhammad Alwi Nafi, Sulche I Nafi, Sulche Ifone Ody Aty Pono, Viky G. L. R. Pono, Viky George Lettu Radja Purnawarman Ginting Rokhyadi Rusman Sinaga Sulche I Nafi Viky G L Radja Pono Viky G. L. R. Pono Y.I. Sakan, Gerson