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OPPORTUNITIES AND CHALLENGES OF DIGITAL SUPPLY CHAIN: A SYSTEMATIC LITERATURE REVIEW USING SCOR FRAMEWORK Salahudin, Muhammad Saad; Baihaqi, Imam; Liu, Yen-Ching
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 4 No. 5 (2024): September 2024
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v4i5.717

Abstract

Firms are increasingly integrating digital technology into their supply network systems for the purpose of attain global competitiveness. The utilization of digital technology has resulted in the Rise of a new supply chain management system known as the digital supply chain. Many parties believe that digital supply chain has several opportunities for companies, however, a number of researchers argues that the dependence on digital technology in the worldwide supply chain is accompanied by substantial obstacles. Therefore, this study intends to understand the opportunities and difficulties of digital supply chain and identify the future research agenda in this research area to develop better digital supply chain concepts and implementations. This research conducted systematic literature review through content analysis based on five dimensions in the SCOR model, which is plan, source, make, deliver, and return dimension. The analysis in this research finds that digital supply chain can enhances demand forecasting and product development in plan dimension, enables supplier selection and procurement automation in source dimension, facilitates smart and additive manufacturing in make dimension, optimizes inventory management, order management, transportation and logistics management in deliver dimension, as well as supports closed loop supply chain or circular economy in return dimension. However, the lack of infrastructure, policy, and coordination, along with financial, technical, and technological barrier, has become the common challenges of digital supply chain. Cybersecurity issue is also another main issue of the digital supply network. Through this analysis, the future research agenda can finally be taken in this research.
Manajemen Risiko Rantai Pasok Pengadaan Suku Cadang Pada Perbaikan Alat Berat Melalui Implementasi House Of Risk (HOR) Septyanur, Aditya Dwi; Hanoum, Syarifa; Salahudin, Muhammad Saad
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 6 No. 4 (2025): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v6i4.8547

Abstract

Rantai pasok pengadaan suku cadang dalam sektor pertambangan memiliki tingkat risiko yang tinggi, yang dapat menyebabkan downtime pada alat berat. Penelitian ini bertujuan mengidentifikasi dan memitigasi risiko tersebut menggunakan metode House of Risk (HOR) dalam dua fase. Pada fase pertama, diidentifikasi 22 agen risiko dan 12 kejadian risiko, dengan agen risiko prioritas berdasarkan nilai Aggregate Risk Potential (ARP) tertinggi meliputi A22, A14, A17, A9, dan A12. Pada fase kedua, disusun 13 strategi mitigasi, dengan lima strategi prioritas yaitu PA1, PA7, PA11, PA10, dan PA9. Pendekatan yang digunakan adalah action research yang meliputi siklus identifikasi risiko, validasi oleh ahli, perumusan strategi mitigasi, dan refleksi hasil. Hasil penelitian ini diharapkan dapat meningkatkan efektivitas manajemen risiko dalam rantai pasok suku cadang industri alat berat.
Customer Satisfaction Analysis in the Healthcare Industry Using KANO Method and Importance Performance Analysis Delima, Mira; Hanoum, Syarifa; Salahudin, Muhammad Saad
Jurnal Teknologi dan Manajemen Vol 6, No 2 (2025): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jtm.2025.v6i2.7826

Abstract

Customer satisfaction is one of the most important aspects in the business world, especially in the service sector because it can increase customer loyalty, and create a positive image for the company and ultimately contribute to long-term success. This study was conducted at MEDCORP, a company engaged in the healthcare industry, which seeks to increase sales by improving customer service. To measure and customer satisfaction, this study uses 5 Dimensions of service quality, namely reliability, responsiveness, assurance, empathy and direct evidence. The methods used are the IPA and KANO methods. The IPA method uses data from customers to evaluate how important each attribute is and how well the company meets those expectations. The KANO method identifies attributes that can increase customer satisfaction if added or improved. This combination provides a more comprehensive understanding of customer needs and product performance that can be used as a reference for companies in achieving the service desired by customers, so that it can increase sales and customer satisfaction. Based on the results obtained, it is known that there are 23 negative gaps, so further analysis is carried out to determine the strategy set. The author makes three types of strategies that can be implemented, namely the main, middle, and final priority strategies based on the IPA-KANO integration classification. Through this research, it is expected to be used as a consideration for business actors or managers in determining improvements in service quality through continual improvement of MEDCORP's performance so that service quality and output become better.
ANALISIS EFISIENSI GUDANG DENGAN MENGGUNAKAN MODEL DATA ENVELOPMENT ANALYSIS (DEA) DI PT NUSA INDAH Nawakasari, Nawang; Hanoum, Syarifa; Salahudin, Muhammad Saad
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/jpv11f92

Abstract

Penelitian ini bertujuan untuk mengevaluasi efisiensi operasional gudang distribusi di PT Nusa Indah, sebuah perusahaan dalam industri Fast Moving Consumer Goods (FMCG), menggunakan pendekatan kuantitatif Data Envelopment Analysis (DEA) dengan model Technical Efficiency Variable Return to Scale (TE VRS) berorientasi output. Penilaian dilakukan terhadap 86 unit gudang (Decision Making Units - DMU) pada tahun 2024 berdasarkan empat variabel input Warehouse Damage, Deadstock 90 Hari, Durasi Picking, dan Truck Stay Duration serta dua variabel output yaitu Order Fulfillment Rate (OFR) dan Pcs per Mandays. Metode DEA digunakan untuk mengidentifikasi unit yang beroperasi secara efisien dan tidak efisien, serta memberikan dasar perbandingan melalui peer group dan target perbaikan untuk unit yang perlu ditingkatkan. Hasil analisis menunjukkan variasi signifikan dalam efisiensi antar unit: 16 dari 38 gudang di Jawa (gudang Caringin dengan skor terendah 0,8896) dan 17 dari 44 gudang di Sumatera (gudang Medan dengan skor terendah 0,7465) beroperasi efisien, sementara keempat gudang di Kalimantan seluruhnya efisien. Secara keseluruhan, peningkatan output Pcs per Mandays dan pengurangan input Truck Stay Duration diidentifikasi sebagai area dengan potensi perbaikan terbesar untuk mencapai efisiensi operasional. Temuan ini mengindikasikan perlunya strategi perbaikan operasional, alokasi sumber daya yang lebih optimal, dan memberikan kontribusi praktis dalam penyusunan kebijakan manajemen distribusi untuk penguatan daya saing perusahaan di industri FMCG Kata Kunci : Efisiensi, Data Envelopment Analysis (DEA), Supply Chain Management, Gudang, FMCG
Strategic Planning in Digital Marketing: Bibliometric and Content Analysis Ratih, Irene Kanina; Salahudin, Muhammad Saad; Hanoum, Syarifa; Korpysa, Jaroslaw
International Journal of Business and Management Technology in Society Vol. 1 No. 1 (2023)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v1i1.781

Abstract

Purpose – This study is aimed to map the trend, conceptual structure, and characteristic of strategic planning in digital marketing research. Methodology – This study uses Performance Bibliometrics analysis and Science Mapping Techniques. Performance Bibliometrics is used to analyze basic information and Science Mapping Techniques are used to find differences in future studies. the PRISMA method was used to complete the analysis performed. Findings – the most prolific and influential journals, authors, countries, and research dominated by Spain, the United States, and the United Kingdom. In addition, four themes are found that are often used in this field of study, namely the "marketing" cluster, the "decision theory" cluster, the "strategic approach" cluster, and the "social media" cluster. Research limitations – This study only covers research published related to strategic planning in digital marketing, the data selected only use synta strategic, and the co-occurrence analysis was used to present the conceptual structure in this study. Practical implications – This research will help practitioners to understand the basis of job satisfaction in textile factory workers and contribute to the scientific community by providing thematic maps and recommendations for future research of this field of study.