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Journal : OPSI

Development of smart logistic framework for blood donor information system based on Internet of Things Yulistiyanto , Mohamad Tri Angga; Mansur, Agus; Nur Cahyo, Winda; Ramadhan, Fadhil Adita
OPSI Vol 18 No 1 (2025): OPSI - June 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i1.14732

Abstract

In 2021, the amount of blood production by the Indonesian Red Cross was higher than the existing needs. This can result in wasted blood bags. The availability of abundant blood bag supplies is not balanced with access to information on the availability of these blood bags. This study aims to build a smart logistics system that can provide information on the availability of blood bags in real-time. This study utilized a quantitative and explorative approach and employed the waterfall Software Development Life Cycle (SDLC) method using PHP and the CodeIgniter 3 framework, which was integrated with IoT devices such as sensors and GPS for real-time monitoring. In addition, this system will provide a tool to predict the number of donors needed, as well as estimate the number of donor quotas required during upcoming blood donation activities. This study has succeeded in developing a blood donor information system that adopts the smart logistics concept to control blood bag stock. The resulting system is capable of reducing the risk of shortages and obsolescence while enhancing synergy among stakeholders. The design of a system that facilitates openness of information on the level of blood needs and simplification of the donor system is expected to increase community responsibility in creating sustainable blood supply availability.
From resistance to adoption: A mixed-methods framework for successful manufacturing execution system implementation in digital transformation initiatives Sutra, Debi; Mansur, Agus
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15583

Abstract

This study develops an optimized change-management framework to mitigate Manufacturing Execution System (MES) 3.0 implementation failure by integrating quantitative and qualitative findings from the ADKAR model through a socio-technical lens. Using explanatory sequential mixed-methods design, quantitative data from 248 respondents were analyzed via multiple and moderated regression, followed by in-depth interviews with 10 key stakeholders analyzed in NVivo. The phases were triangulated using a socio-technical framework to identify systemic patterns. Quantitatively, employee resistance significantly moderated the relationship between ADKAR components and implementation failure (β = 0.657, p = 0.040), with awareness (β = −0.778, p = 0.000) and knowledge (β = −0.168, p = 0.012) showing significant negative effects. Qualitative findings revealed five major themes: multidimensional resistance (active 15%, passive 35%, concealed 20%, neutral 30%), ADKAR implementation gaps, systemic contextual factors, and mitigation strategies. Triangulation exposed hierarchical cultural barriers, digital-literacy gaps, and insufficient reinforcement mechanisms. We propose an integrated hexagonal socio-technical model with six components and 24 sub-elements: Goals (4), People (4), Infrastructure (4), Technology (4), Culture (4), and Processes (4) for sustainable MES 3.0 implementation. This study contributes empirical evidence of resistance as a moderator and provides actionable guidance for digital transformation in manufacturing organizations.