Claim Missing Document
Check
Articles

Found 2 Documents
Search

Relationship between learning motivation and student achievement of Bina Nusantara University Ferren Octafiani Hartawan; Cindy Lawrence; Agustinus Yovian Chrisanto; Louis Cornelius; David Kurniawan; William Surya; Darren Jonathan; Cindy Briana Soetanto
Journal of Economics and Business Letters Vol. 1 No. 1 (2021): June
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.627 KB)

Abstract

Learning motivation is a motivational drive from a person to learn a material. There are factors that influence learning motivation such as lesson materials and teacher attitudes when teaching, family and the environment of friendship. When someone has a good interest in learning, he will produce good results. This result is called the achievement result which is the result of working on an exam or task. Achievement results are measured by numbers and are academic in nature. The higher the learning motivation possessed by a person, the higher the achievement results he gets and vice versa.
Analisis Waste dalam Aliran Material Internal dengan Value Stream Mapping Pada PT XYZ Gita Ayu; Jeffry Hanggara; David Kurniawan; Gunawan Gunawan
ComTech: Computer, Mathematics and Engineering Applications Vol. 3 No. 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2448

Abstract

The main focus of the research is excess inventory and motion waste which commonly occur in warehouse and production floor. This research is carried out to minimize the average level and eliminate unnecessary motions, with consideration of electronic pull and traceability system characteristics. Product X, the highest-selling product, is the object of this research. To identify the current condition, the current state Value Stream Mapping (VSM) is developed as the basis to arrange improvement plan to minimize the wastes. Safety stock is determined through average and maximum consumption difference; and reorder point is determined to comply with pull approach. Average inventory level is calculated using continuous review method. The simulation was conducted and it was shown that 8.29 minutes is the maximum lateness. Thus, safety stock and reorder point are adjusted accordingly to anticipate stockout due to lateness. The improvement of process cycle efficiency is shown to increase from 4.1 % to 5.1 % as projected in future state VSM.