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All Journal Jurnal Pendidikan Indonesia Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik INVOTEC JUTIK : Jurnal Teknologi Informasi dan Komputer JKIE (Journal Knowledge Industrial Engineering) Logistik Journal of Industrial Engineering and Operation Management (JIEOM) AKSELERASI: Jurnal Ilmiah Nasional Industrika : Jurnal Ilmiah Teknik Industri Asean Journal of Science and Engineering (AJSE) ASEAN Journal of Science and Engineering Education (AJSEE) Journal of Logistics and Supply Chain JURNAL LENTERA KARYA EDUKASI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ekonomi dan Bisnis GROWTH (JEBG) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Sci-Tech Journal Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Journal Industrial Engineering and Management (JUST-ME) Journal Innovation In Education
Vina Dwiyanti
Universitas Pendidikan Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

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Journal : Sci-Tech Journal

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Analisis Penerapan Big Data dalam Supply Chain Management: Systematic Literature Review Syifa Alika Virgineta; Vina Dwiyanti; Aam Hamdani
Sci-tech Journal Vol. 4 No. 2 (2025): Sci-Tech Journal
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v4i2.732

Abstract

Implementation of big data in supply chain management, encompassing a wide range of critical sectors such as demand forecast, inventory management, logistics, and supplier relations. The advantages are numerous, including greater demand forecasting accuracy, increased visibility into the entire supply chain network, shorter lead times, and better risk management. Despite these benefits, problems emerge in the form of data security concerns, the need for specialized skills, and the complexity of integrating disparate systems. Overcoming these barriers is critical for companies that want to fully utilize big data, resulting in a more flexible, resilient, and customer-centric approach to supply chain operations.
Co-Authors A, Ana Aam Hamdani, Aam Abang Charil Ralfi Permana Abdullah Hudan Adelia Suyatno Afdhol Dzikri Agus Fatulloh Ahmad Reza Ar-Rafi Ahmad Reza Ar-rafi Akhsin Nurlayli Aldi Adista Juliadi Aldi Palah Pamungkas Alhamda, Nur Aini Alhapip, Leli Alya Sophia Oktirellia Ana Ana Anim Muslim Anisa Putri Rahmadani Lubis Annis Kandriasari Aqmal, Reinaldo Yusuf Arif Roziqin Aulia Zikri Rahman Darmawan, Bambang Darmawan, Bambang Davin Arkan Admoko Putra Dede Ridwan Devanka Chelina Dewang Rangga Bentar Efni Noor Salam Erning Ertami Anton Fajar Muliana Fatimatuz Zahroh, Fatimatuz Fauzan Firdaus Fauzan Firdaus Febrianti, Risti Firdaus, Fauzan Firmansyah, Adimas Galuh Chisyti Nur Fadhilah Gregorius Harry Saktian Sinaga Guspri Devi Artanti Hani Rosina Hanissa Okitasari Hanissa Okitasari, Hanissa Hizba Muhammad Sadida Ihsan Nurhadi Indira Shaffiyah Jelisa Zalfa Syakhisk Juliadi, Aldi Adista Luthfiya Ratna Sari Mir'atul Khusna Mufida Mohamad Faherza Hasyir Rahman Mokhamad Syaom Barliana Muhammad Faishal Afiq Muktiarni, Muktiarni Mumu Komaro Muslimin Muslimin NANIK LESTARI Oktavianto Gustin Oktirellia, Alya Sophia Putra, Davin Arkan Admoko Riyanto, Naufal Hadziky Rizki Widi Pratama Samsudin, Ajeng Febriani Sari, Putri Anjar Sasmita, Asep Hadian Selly Artaty Zega Sembiring, Evaliata Br. Septian Ade Isnanto Sudra Irawan Sutthiporn Boonsong Syifa Alika Virgineta Syifa Nur Azizah Tysa Kharisma Alfirandhyta Virgantina Virgantina Yahyaa Ayyash Yeni Yulianti Yulia Rahmawati, Yulia Yusuf Maulana, Yusuf