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All Journal SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi
Putri, Anggun Cynthia
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Engineering Materials Science & Nanotechnology

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Peran Internet of Things (IoT) dalam Mengoptimalkan Rantai Pasok E-commerce: Systematic Literature Review Putri, Anggun Cynthia; Nasihin, Muhamad
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 11 No 1 (2025): Februari: In Press
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study identifies and analyzes the role of the Internet of Things (IoT) in optimizing the supply chain in the e-commerce sector through a Systematic Literature Review approach. By evaluating the literature from 2020 to 2024, this study shows that IoT can improve operational efficiency, transparency, and automation in supply chain management. Key findings reveal that IoT technology can reduce reliance on inefficient manual processes, allowing companies to monitor the condition of goods and logistics status in real-time. This contributes to faster decision-making and improved customer satisfaction. However, the research also found challenges in implementing IoT, such as the complexity of system integration, high initial investment requirements, and data security and privacy issues. Therefore, companies need to plan a well-thought-out strategy to overcome these obstacles. This research emphasizes the importance of collaboration between stakeholders to create an ecosystem that supports IoT adoption. Overall, this research provides valuable insights into the potential and challenges of IoT adoption, and recommends further research to ensure competitiveness in the digital age.
Perancangan Sistem Pakar Rekomendasi Jurusan Perguruan Tinggi Universitas PGRI Pontianak Berbasis Web J.H., Baharuddin; Putri, Anggun Cynthia; Hervian, Augenia Angela Angie
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 11 No 2 (2025): August
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol11.no2.a20538

Abstract

In Indonesia, the rate of inaccurate major selection among first-year university students reaches 35%, primarily caused by external pressures without adequate self-assessment, leading to a 68% decrease in learning motivation and an increase in the dropout rate by 25%. This study aims to design a web-based expert system using a weighted forward-chaining algorithm to provide accurate major recommendations with a minimum accuracy of ≥80%, while also evaluating user acceptance levels. The research adopts a Research and Development (R&D) approach with a Model-View-Controller (MVC) architecture and a knowledge base comprising 50 decision rules integrating academic performance, RIASEC test results (30 items), non-academic experiences (15 items), and career aspirations (6 items). Validation involved 120 high school students (Grade XII) in West Kalimantan, employing a confusion matrix for accuracy testing and the System Usability Scale (SUS) for usability evaluation. Results show the system achieved 86% accuracy, 85% precision, 87% recall, with an average response time of 2.3 seconds. Expert validation yielded scores ranging from 4.0 to 4.4/5.0, while the SUS score reached 82.5±6.3 (“Excellent” category), with a 40% improvement in user trust through the explanation facility. The proposed expert system effectively provides accurate, adaptive, and user-accepted recommendations, contributing to reducing major mismatch and supporting the digital transformation of higher education.
Peran Internet of Things (IoT) dalam Mengoptimalkan Rantai Pasok E-commerce: Systematic Literature Review Putri, Anggun Cynthia; Nasihin, Muhamad
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 11 No 1 (2025): Februari
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol11.no1.a19173

Abstract

This study identifies and analyzes the role of the Internet of Things (IoT) in optimizing the supply chain in the e-commerce sector through a Systematic Literature Review approach. By evaluating the literature from 2020 to 2024, this study shows that IoT can improve operational efficiency, transparency, and automation in supply chain management. Key findings reveal that IoT technology can reduce reliance on inefficient manual processes, allowing companies to monitor the condition of goods and logistics status in real-time. This contributes to faster decision-making and improved customer satisfaction. However, the research also found challenges in implementing IoT, such as the complexity of system integration, high initial investment requirements, and data security and privacy issues. Therefore, companies need to plan a well-thought-out strategy to overcome these obstacles. This research emphasizes the importance of collaboration between stakeholders to create an ecosystem that supports IoT adoption. Overall, this research provides valuable insights into the potential and challenges of IoT adoption, and recommends further research to ensure competitiveness in the digital age.
Co-Authors Hervian, Augenia Angela Angie J.H., Baharuddin Muhamad Nasihin