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Journal : Jurnal Sistem Teknik Industri

Unlocking Indonesia's Maritime Potential: Optimizing Hub Port Development using a Principal Component Analysis and K-Means Clustering Purnama, Dwi Adi; Marifa, Putri Citra; Shinta, Riadho Clara
Jurnal Sistem Teknik Industri Vol. 27 No. 1 (2025): JSTI Volume 27 Number 1 January 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i1.18606

Abstract

Indonesia as a maritime country, most of the transportation in Indonesia is carried out by using sea transportation around 88%. However, the Logistics Performance Index (LPI) of Indonesia is alarming and declining from 3.15 in 2018 to 3.0 in 2023, particularly in Timeliness (3.7 to 3.0) and Tracking & Tracing (3.3 to 3.0). Therefore, it needs a comprehensive improvement strategy, especially to optimize the hub port connectivity. This study would like to establish the new hub port connectivity in Indonesia to increase the effectiveness and efficiency of the port. This study use Principle Component Analysis (PCA) to determine the variable, eliminate the correlation among variables to obtain the new variables as the clustering determinants factor, and use Clustering K-Means to group similar characteristics of the alternative port that can be used as the main port. The result of Principle Component Analysis (PCA) which has gained new variables are regional spatial system, national transportation system, national defense, operational cost, and port services. The result of K-Means Clustering, Tanjung Priok, Panjang, Tanjung Emas, Tanjung Perak, Palembang, Teluk Bayur, and Belawan are the main port or hub port connectivity to increase the effectiveness and efficiency in the sea transportation. Tanjung Priok and Panjang can connect Java and Sumatra, while Tanjung Emas and Tanjung Perak can link Java and South Kalimantan. Palembang, Teluk Bayur, and Belawan can also play important roles in their respective regions. By investing in infrastructure and improving connectivity, Indonesia can enhance the efficiency and competitiveness of its maritime trade.
Measuring Supply Chain Performance and Developing Competitive Strategy on Small Medium Enterprise Craft Industry using SCOR-AHP Model Purnama, Dwi Adi; Novianto, Didin Dwi; Haryanti, Nur Laily
Jurnal Sistem Teknik Industri Vol. 27 No. 3 (2025): JSTI Volume 27 Number 3 July 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i3.20336

Abstract

Small and medium enterprises (SMEs) require support to evolve into established organizations due to their strong flexibility to change. Nonetheless, numerous obstacles confront SMEs in their efforts to develop and compete. This study seeks to evaluate supply chain performance and the formulation of competitive strategies inside small and medium-sized enterprises (SMEs). This serves as an option for assessing supply chain performance while emphasizing the formulation of competitive strategies to enhance it, encompassing the management of material, information, and financial flows from both supply and demand perspectives. The evaluation of supply chain performance is conducted with the SCOR model, which relies on the identification of Key Performance Indicators (KPIs) derived from the outcomes of the SMEs business mapping process. Subsequently, multi-criteria decision making (MCDM) employing the Analytical Hierarchy Process (AHP) is utilized to assign weights to the KPI criteria for assessing supply chain performance and guiding competitive strategy creation. The study's results identified the indicators categorized into planning, production, sourcing, delivery, and returns. The measurement of supply chain performance suggests that the case study industry has a value of 84.11, signifying commendable performance. Moreover, competitive strategies, using Kraljic Matrix, Six Sigma, Lean Method, or mixed strategies, have been suggested to enhance supply chain performance and business competition, informed by the outcomes of the SCOR model and the MCDM approach.