Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal International Journal of Advances in Applied Sciences MIX : Jurnal Ilmiah Manajemen
Chaterine Alvina Prima Hapsari
Diponegoro University
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Materials Science & Nanotechnology Mathematics Physics Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Assessing Readiness Index toward Industry 4.0 of SMEs Leather Industry in Yogyakarta's Ratna Purwaningsih; Ade Aisyah Arifna Putri; Melati Syahrani Ryandy; Ary Arvianto; Chaterine Alvina Prima Hapsari; Rifki Daris Dzulfikar
MIX: JURNAL ILMIAH MANAJEMEN Vol 16, No 1 (2026): MIX : Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jurnal_mix.2026.v16i1.016

Abstract

Objective: This study focuses on create a readiness index measurement model tailored to the transformation of technology in the creative industry for small and medium-sized enterprises (SMEs)measuring the readiness level of leather SMEs as they transition towards Industry 4.0. The indicators developed in INDI 4.0 need to be adjusted again when used to measure the readiness of the creative industry. After developing the measurement model, then proceed with test the model by using it to assess the readiness levels of leather SMEs in Yogyakarta. Based on the results of the readiness index assessment, which indicators need to be improved will be identified and be the basis for formulate recommendations to enhance the readiness levels of leather SMEs.Methodology: The research methodology is divided into Developing Measurement Indicators and Measuring Readiness Index. Developing indicators was conducted through literature review and validated with expert opinion using the Delphi method. Measuring the readiness index was conducted using the multidimensional scaling method and validated using the Monte Carlo method.Finding: The contribution of this research is to develop dimensions and indicators suitable for the creative industry. These additional indicators shed light on digitalization issues in marketing and finance that were not yet fully addressed in INDI 4.0. There is also additional collaboration to strengthen supply chain channels and expand factory operations. The result of measuring the readiness index give a value of 1.92, categorized as Level 1 (initial readiness). The highest value of readiness index is in the product and service dimension and the lowest value is in the technology dimension. The assessment results revealed several points on what the leather creative industry needs to improve to raise the readiness index such as strengthening business management skills, particularly related to digital marketing and financial skills, technology investments, and intensive collaboration with product suppliers and distributors.
Descriptive data mining for multi-shelf product allocation in traditional retail Singgih Saptadi; Wiwik Budiawan; Ary Arvianto; Purnawan Adi Wicaksono; Chaterine Alvina Prima Hapsari; Dhimas Wachid Nur Saputra
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp830-843

Abstract

The business expansion of minimarkets in small cities is one of the serious threats to the sustainability of traditional retail businesses or small independent retailers. Many traditional retailers eventually closed due to their inability to maintain competitiveness, as customers increasingly prefer shopping at modern retail outlets. A well-organized store layout can improve the shopping experience of customers, which has an impact on customer satisfaction and retail competitive advantage. Currently, shelf space allocation in traditional retail is still inattentive, making the placement of products on the shelf random and erratic. Based on these problems, this research aimed to design multi-shelf product allocation according to customer shopping patterns by combining clustering algorithms and market basket analysis (MBA). Clustering aims to divide data points into two different clusters, namely dominant product and less favored product, while MBA aims to identify the customer purchase pattern and preferences. The three MBA scenarios produced four, twelve, and forty rules. The research successfully designed two layouts by utilizing a combination of clustering and MBA algorithms. The utilization of data mining allows traditional retailers to extract information from the database to be arranged into a layout design that fits the shopping patterns and customer preferences.
Assessing Readiness Index toward Industry 4.0 of SMEs Leather Industry in Yogyakarta's Ratna Purwaningsih; Ade Aisyah Arifna Putri; Melati Syahrani Ryandy; Ary Arvianto; Chaterine Alvina Prima Hapsari; Rifki Daris Dzulfikar
MIX: JURNAL ILMIAH MANAJEMEN Vol. 16 No. 1 (2026): MIX : Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jurnal_mix.2026.v16i1.016

Abstract

Objective: This study focuses on create a readiness index measurement model tailored to the transformation of technology in the creative industry for small and medium-sized enterprises (SMEs)measuring the readiness level of leather SMEs as they transition towards Industry 4.0. The indicators developed in INDI 4.0 need to be adjusted again when used to measure the readiness of the creative industry. After developing the measurement model, then proceed with test the model by using it to assess the readiness levels of leather SMEs in Yogyakarta. Based on the results of the readiness index assessment, which indicators need to be improved will be identified and be the basis for formulate recommendations to enhance the readiness levels of leather SMEs.Methodology: The research methodology is divided into Developing Measurement Indicators and Measuring Readiness Index. Developing indicators was conducted through literature review and validated with expert opinion using the Delphi method. Measuring the readiness index was conducted using the multidimensional scaling method and validated using the Monte Carlo method.Finding: The contribution of this research is to develop dimensions and indicators suitable for the creative industry. These additional indicators shed light on digitalization issues in marketing and finance that were not yet fully addressed in INDI 4.0. There is also additional collaboration to strengthen supply chain channels and expand factory operations. The result of measuring the readiness index give a value of 1.92, categorized as Level 1 (initial readiness). The highest value of readiness index is in the product and service dimension and the lowest value is in the technology dimension. The assessment results revealed several points on what the leather creative industry needs to improve to raise the readiness index such as strengthening business management skills, particularly related to digital marketing and financial skills, technology investments, and intensive collaboration with product suppliers and distributors.
Co-Authors Ade Aisyah Arifna Putri Ary Arvianto Dhimas Wachid Nur Saputra Melati Syahrani Ryandy Purnawan Adi Wicaksono Ratna Purwaningsih Rifki Daris Dzulfikar Singgih Saptadi Wiwik Budiawan