Article Per Year (5 Year)
p-Index From 2021 - 2026
1.612
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Techno: Jurnal Penelitian Journal of Industrial Engineering Management SEMAR Soeropati: Journal of Community Service Proceeding Mercu Buana Conference on Industrial Engineering Majalah Teknik Industri Jurnal Tekstil: Jurnal Keilmuan dan Aplikasi Bidang Tekstil dan Manajemen lndustri
Afifuddin, Mokh
Akademi Komunitas Industri Tekstil Dan Produk Tekstil Surakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
K-Means clustering interpretation using recency, frequency, and monetary factor for retail customers segmentation Agung Nugraha; Yutika Amelia Effendi; Nicholas Nicholas; Zejin Tao; Mokh Afifuddin; Nania Nuzulita
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 2: April 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i2.26044

Abstract

Efforts to retain customers represent a crucial customer relationship management (CRM) strategy in every business, offering the potential to enhance profits, particularly for small and medium enterprises (SMEs). In the context of this study, which focuses on the transaction dataset of retailers in a developing market, Indonesia, the emphasis has predominantly been on customer attraction rather than the implementation of customer retention strategies. The primary objective of this research was to scrutinize customer transaction data within the dataset. The K-Means clustering (KMC) method, integrated with recency, frequency, and monetary (RFM) attributes, was employed to classify customers and formulate effective strategies for customer retention. Conducted through a descriptive research method with a quantitative approach, the study involved sequential stages of data preprocessing and RFM analysis for comprehensive data analysis. The outcomes revealed the identification of 5 distinct clusters with associated strategies based on the RFM scores obtained. These strategies, tailored to each cluster, serve as valuable insights in industrial and innovation for marketing and business strategic teams, offering practical approaches to customer retention that can lead to increased benefits for SMEs.
Mentoring for Textile Liquid Waste Management and Occupational Safety Improvement in Lurik Asri Fabric Center, Klaten Ahamd Darmawi; Dedy Harianto; Hasna Khairunnisa; Mokh Afifuddin
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 14, No 1 (2025): Mei
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v14i1.96636

Abstract

The center of Lurik textile industry in Tlingsing Village, Klaten, Central Java, is one of the distinctive hubs for traditional fabric production in Indonesia. It consists of several households or small and medium-sized enterprises (SMEs) that produce Lurik textiles using traditional methods. This community engagement initiative discusses a mentoring initiative aimed at enhancing sustainable practices and workforce empowerment in the Lurik Asri Weaving Center, Klaten. Through collaboration between educational institutions and local SMEs, the main issues such as wastewater management, Occupational Health and Safety (OHS) implementation, workforce motivation, and technology adoption are identified. The applied methods of education, simulation, and mentoring aim to uncover potentials and enhance the capacities of entrepreneurs. The outcomes include increased understanding and skills, as well as the establishment of sustainable partnerships. Through data mapping and evaluation, this article demonstrates that this initiative not only provides immediate benefits to SMEs but also paves the way for sustainable and inclusive development at the local level.
Co-Authors Agung Nugraha Agus Ardiyanto Ahamd Darmawi Bambang Yulianto Bambang Yulianto Darmawi, Ahmad Dedy Harianto Dharma, Fajar Pitarsi Eddy, Yulius Sarjono Effendi, Yutika Amelia Fadhila Fadhila Hamdan S Bintang Hasna Khairunnisa Hindardi, Darmawan I Ketut Gunarta Kusnadi, Bambang Nania Nuzulita Nicholas Nicholas Pujianto, Hendri Rusman, Fahmi Fawzy Sih Parmawati Sugiyarto Sugiyarto Wiwin Ainis Rohtih Zejin Tao