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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) OPSI Techno: Jurnal Penelitian Journal of Industrial Engineering Management PERFORMA : Media Ilmiah Teknik Industri 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

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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.
Analisis Penyebab Tingginya Angka Hairiness pada Benang Cd 40’s di Mesin Ring Spinning Perusahaan Pembuatan Benang PT XYZ Mokh Afifuddin; Sugiyarto Sugiyarto; Isna Rusdiana
Performa: Media Ilmiah Teknik Industri Vol 20, No 1 (2021): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.20.1.44832

Abstract

Industri tekstil merupakan salah satu komoditi andalan industi manufaktur sekaligus menjadi motor penggerak pembangunan ekonomi nasional. PT XYZ merupakan salah satu industri tekstil terbesar yang yang memproduksi benang. Pengendalian mutu harus dilakukan untuk mencapai sasaran atau target yang telah ditetapkan perusahaan. Dari beberapa kualitas yang harus diuji hairiness menjadi perhatian tersendiri,  karena di PT XYZ terdeteksi adanya angka hairiness yang tinggi melebihi standar dan toleransi. Maka penelitian ini bertujuan untuk menganalisa penyebab utama atas tingginya hairiness dalam proses produksi benang CD 40’s di mesin ring spinning, serta dilakukan upaya penyelesaian dari masalah tersebut. Metode menganalisa permasalahan dengan menggunakan pendekatan diagram fishbone untuk mencari akar masalah dari permasalahan yang dihadapi. Ditemukan penyebab tingginya hairiness (bulu benang) pada benang CD 40’s karena snail wire yang cacat. Sehingga perlu dilakukan action plan untuk menangani masalah tersebut. Setelah dilakukan perbaikan, terjadi penurunan angka hairiness (bulu benang) sebesar 22% dan peningkatan strength (kekuatan) sebesar 10%..
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.
Effect of bottom front roller eccentricity on yarn unevenness (U%), mass variation (CV%), and hairiness in PV 30 ring spinning Dedy Harianto; Mokh Afifuddin; Siti Aisyah; Hendri Pujianto; Ratna Rosita Pangestika
OPSI Vol 19 No 1 (2026): OPSI - June 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v19i1.16458

Abstract

This study demonstrates that bottom front roller eccentricity in ring spinning negatively affects PV 30 yarn quality by increasing yarn unevenness (U%) and mass variation (CV%). Using a paired-sample experimental design and paired t-test analysis, the study evaluated yarn quality before and after corrective alignment of the bottom front roller under controlled mechanical and environmental conditions. Yarn unevenness decreased from 9.43 ± 0.20 to 8.55 ± 0.06, while yarn mass variation decreased from 11.87 ± 0.30 to 10.76 ± 0.10 after corrective alignment, indicating statistically significant improvements in drafting stability and yarn uniformity (p < 0.05) with a large practical effect size based on Cohen’s d analysis (Cohen’s d = 1.21). The bottom front roller was specifically investigated because it directly controls fiber movement within the drafting zone, where mechanical instability can generate irregular fiber tension and drafting waves. In contrast, no statistically significant effect on yarn hairiness was observed. From an industrial engineering perspective, the findings highlight the importance of preventive maintenance and precise roller alignment in reducing off-quality yarn production, minimizing material waste, and improving operational efficiency. Unlike previous studies that broadly examined drafting irregularities and machine vibration, this study specifically isolates the effect of bottom front roller eccentricity before and after corrective alignment under controlled operating conditions.
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 Hendri Pujianto Hindardi, Darmawan I Ketut Gunarta Isna Rusdiana Kusnadi, Bambang Nania Nuzulita Nicholas Nicholas Pujianto, Hendri Ratna Rosita Pangestika Rusman, Fahmi Fawzy Sih Parmawati Siti Aisyah Sugiyarto Sugiyarto Sugiyarto Sugiyarto Wiwin Ainis Rohtih Zejin Tao