Mrs. Yelita Anggiane Iskandar, Universitas Pertamina, Indonesia
Yelita Anggiane Iskandar is a distinguished Industrial Engineering professional and academician with over a decade of experience. She is currently pursuing her Ph.D. in Industrial Engineering, specializing in Big Data Analytics at Pusan National University, South Korea, under the prestigious Brain Korea 21 Scholarship. Yelita holds a Master’s degree with Cum Laude in Logistics and Supply Chain Management from ITS, Indonesia, and a Bachelor’s degree in System Modeling from Universitas Indonesia. Her extensive career spans roles as a lecturer, department head, and logistics planner in renowned institutions like Pertamina University, Bogor Agricultural University, and PT Fonterra Brands Indonesia. As an accomplished educator and researcher, Yelita focuses on logistics systems, supply chain optimization, and engineering economics. Her dedication to advancing industrial practices and mentoring future engineers highlights her as a leader in the field. Yelita continues to contribute impactful research and education, fostering innovation in engineering.
Professional Profile
Scopus
Orcid
Google Scholar
Summary of Suitability for the “Research for Best Researcher Award”
Yelita Anggiane Iskandar presents an exemplary profile that qualifies her for the “Research for Best Researcher Award.” She is currently pursuing a Doctor of Philosophy in Industrial Engineering with a focus on Big Data Analytics and Engineering at Pusan National University, South Korea, supported by the prestigious Brain Korea 21 Scholarship Program. Her academic background includes a Master of Engineering in Industrial Engineering, specializing in Logistics and Supply Chain Management, with a Cum Laude distinction, as well as a Bachelor’s degree in Industrial Engineering. Her research interests and ongoing doctoral work align with cutting-edge developments in logistics, supply chain optimization, and big data analytics, positioning her at the forefront of advancements in her field.
Yelita’s extensive experience in academia, having held various teaching roles at universities in Indonesia, further strengthens her candidacy. Her responsibilities have ranged from lecturing on logistics, supply chain management, operations research, and advanced statistics to leading curriculum development and overseeing the educational activities of entire departments.
Education
Yelita Anggiane Iskandar’s educational journey reflects her commitment to excellence. She is currently pursuing a Doctor of Philosophy in Industrial Engineering at Pusan National University, South Korea, focusing on Big Data Analytics and Engineering under the Brain Korea 21 Scholarship Program. Previously, Yelita earned a Master of Engineering in Industrial Engineering, specializing in Logistics and Supply Chain Management, from Institut Teknologi Sepuluh Nopember (ITS), Surabaya, graduating with Cum Laude honors and a stellar GPA of 3.89/4. Her undergraduate studies were completed at Universitas Indonesia, where she obtained a Bachelor of Engineering in Industrial Engineering with a concentration in System Modeling, achieving a GPA of 3.41/4. These strong academic credentials underpin her expertise in analytics, logistics, and system engineering, equipping her with a robust foundation to address real-world engineering challenges and contribute innovative solutions to industrial processes.
Professional Experience
Yelita Anggiane Iskandar’s professional experience spans academia and industry. She is currently a lecturer at Universitas Pertamina in Jakarta, where she teaches courses such as Logistics Cost Estimation, Advanced Supply Chain, and Operations Research, among others. She also served as the department head, managing curriculum development, educational programs, and departmental evaluations. Prior to this, she lectured at Bogor Agricultural University, Universitas Trisakti, and Universitas Gunadarma, focusing on Industrial Engineering courses.
Her industrial experience includes serving as an Import and Supply Planner at PT Fonterra Brands Indonesia, where she managed demand forecasts, coordinated production planning, and optimized supply chain operations across multiple regions. Yelita’s role required close collaboration with international planners and logistics partners, enhancing her expertise in global supply chain management. Her balanced experience in education and industry equips her with unique insights to train future engineers and address complex logistics challenges.
Awards and Recognitions
Yelita Anggiane Iskandar has been recognized for her academic and professional achievements throughout her career. Notably, she was awarded the prestigious Brain Korea 21 Scholarship to pursue her Ph.D. in Industrial Engineering at Pusan National University, South Korea. This scholarship highlights her exceptional research capabilities and academic excellence. During her Master’s studies at ITS, Indonesia, Yelita graduated with Cum Laude honors, demonstrating her dedication and superior performance.
In her professional roles, Yelita has been acknowledged for her contributions as a department head at Universitas Pertamina, where she successfully managed departmental initiatives, program development, and strategic implementation. Her ability to balance teaching, research, and leadership has earned her recognition as an influential figure in logistics and supply chain education. Yelita’s continuous pursuit of excellence positions her as a role model for students and colleagues, reflecting her unwavering commitment to innovation in engineering education and practice.
Yelita Anggiane Iskandar is a research-driven professional with specialized expertise in industrial engineering and logistics. Her primary research areas include Big Data Analytics, Supply Chain Optimization, and System Modeling. Leveraging her advanced analytical skills, Yelita designs and develops models to optimize logistics operations, forecast demands, and streamline supply chains. Her ability to analyze complex datasets enables her to uncover insights that drive decision-making in industrial systems.
Yelita’s research is highly interdisciplinary, integrating engineering economics, operations research, and logistics cost estimation. She has mentored capstone projects and student research initiatives, guiding future engineers to develop innovative solutions. Additionally, her ongoing Ph.D. research focuses on cutting-edge big data methodologies, ensuring she remains at the forefront of emerging technologies. Her commitment to research excellence, combined with real-world applications, has solidified her reputation as a thought leader, advancing industrial systems and logistics engineering practices globally.
Publication Top Notes
-
Interterminal truck routing optimization using deep reinforcement learning
- Authors: TN Adi, YA Iskandar, H Bae
- Journal: Sensors
- Volume: 20 (20), Article: 5794
- Citations: 33
- Year: 2020
-
Interterminal truck routing optimization using cooperative multiagent deep reinforcement learning
- Authors: TN Adi, H Bae, YA Iskandar
- Journal: Processes
- Volume: 9 (10), Article: 1728
- Citations: 12
- Year: 2021
-
Parallel-structure deep learning for prediction of remaining time of process instances
- Authors: NA Wahid, H Bae, TN Adi, Y Choi, YA Iskandar
- Journal: Applied Sciences
- Volume: 11 (21), Article: 9848
- Citations: 6
- Year: 2021
-
Investigation of Smart Sustainable City Indicators of Sustainable Development—A Case Study of the City of Suwon
- Authors: RJ Pinem, AK Kustedjo, YA Iskandar, BN Yahya
- Journal: Sustainability
- Volume: 15 (19), Pages: 1-31
- Citations: 3
- Year: 2023
-
Inventory Management with Demand Forecast for Eyeglass Lenses Using the Time Series Method at An Optical Store
- Authors: TA Silaen, YA Iskandar
- Journal: Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
- Volume: 2 (2)
- Citations: 2
- Year: 2023
-
Model Kualitas Layanan Terbaik untuk Pelanggan di Terminal Kargo Domestik Bandara Kualanamu
- Authors: EMS Zega, YA Iskandar
- Journal: Jurnal Manajemen Teknologi dan Teknik Industri
- Volume: 5 (2), Pages: 111-119
- Citations: 2*
- Year: 2023
-
Transportation Development Trends in Reverse Logistics of Fast-Moving Consumer Goods Industries: A Bibliometric Analysis
- Authors: MF Ikhlas, W Septiana, N Khairunnisa, R Rahardi, YA Iskandar
- Journal: Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
- Volume: 2 (1)
- Citations: 2
- Year: 2023
-
Pengembangan Model Optimasi Suplai Tandan Buah Segar dengan Goal Programming di PKS Tanjung Seumantoh PTPN I
- Authors: YA Iskandar, I Sukarno, IN Sabani
- Journal: Matrik: Jurnal Manajemen dan Teknik Industri Produksi
- Volume: 23 (2), Pages: 165-178
- Citations: 2
- Year: 2023
-
Q-learning-based technique for reduction of number of empty-truck trips in inter-terminal transportation
- Authors: TN Adi, YA Iskandar, H Bae
- Journal: ICIC Express Letters, Part B: Applications
- Volume: 11 (10), Pages: 987-994
- Citations: 2
- Year: 2020
-
Analisis Kelayakan Investasi Pembelian Armada Trailer Truck pada Distributor Baja X
- Authors: D Amarajaya, YA Iskandar, R Vikaliana
- Journal: IKRAITH-EKONOMIKA
- Volume: 7 (2), Pages: 153-165
- Citations: 1
- Year: 2024