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Sosialisasi Penataan Rumah yang Rapi Menggunakan Fischer di Kecamatan Sematang Borang Mahmud Basuki; Selvia Aprilyanti; Winny Andalia; Hermanto MZ; Azhari
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 4 (2021): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v5i4.3798

Abstract

Implementation of community service (PKM) carried out in Sukamulya Village, Sematang Borang Subdistrict, Palembang City was motivated by a lack of knowledge and understanding of the community regarding physical aids in residential structuring. Fischer or viser is a tool for connecting screws made by plastic material that is commonly used for household installation purposes such as installing shelves, curtains, TV briquettes and so forth. The PKM method is carried out through socialization, the practice of installing a physical exam and a survey of material understanding using a questionnaire. The results of the socialization showed 75% more understanding and knowledge of the people of Sukamulya Village on the installation of fischer in the arrangement of the house to make it more presentable.
Lean Six Sigma and Business Analytics Integration: A Systematic Literature Review Deri Maryadi; Tolu Tamalika; Abdul Rochim; Adi Fitra; Azhari
Journal of Applied Management and Business Vol. 7 No. 1 (2026): Journal of Applied Management and Business (JAMB) - July
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/jamb.v7i1.1386

Abstract

Aims - This study aims to present a novel and comprehensive mapping of the integration between Lean Six Sigma (LSS) and Business Analytics (BA) through a systematic review of publications from 2020 to 2025, and to develop a conceptual LSS–BA framework based on four analytical layers. Methodology - This study employed a PRISMA-guided Systematic Literature Review with a two-stage approach: 20 Q1–Q2 journal articles were analyzed to map general Lean Six Sigma trends, while 10 selected articles were examined in depth to identify Business Analytics integration and data-driven practices. Findings - The review reveals that LSS implementation remains highly dependent on traditional DMAIC tools and methods, while the use of advanced analytical approaches such as machine learning, predictive analytics, and text mining is still limited, particularly in the Analyze and Control phases. Digital integration appears only in a small proportion of the reviewed studies. Research Limitations - The main limitations include the lack of detailed quantitative evidence in existing publications and the uneven adoption of BA practices across LSS studies. These findings imply the need for stronger empirical validation and broader digital transformation in continuous improvement initiatives. Originality - This study offers original value by providing a structured synthesis of recent LSS–BA research and proposing a four-layer conceptual framework that can guide future development of data-driven and prescriptive process improvement systems.