cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Wilarso
Contact Email
wilarso@umci.ac.id
Phone
+628119202134
Journal Mail Official
wilarso@umci.ac.id
Editorial Address
https://jurnal.sttmcileungsi.ac.id/index.php/tekno/editorial
Location
Kab. bogor,
Jawa barat
INDONESIA
TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Published by Universitas Muhammadiyah Cileungsi
ISSN : 20873336     EISSN : 27214729     DOI : https://doi.org/10.37373/tekno.v13i2
Core Subject :
Aim and Scope Aim The aim of this journal publication is to disseminate the fundamental ideas or ideas that have been accomplished and the study findings in technology, science and informatics. In terms of community sector study outcomes, the Journal of Technoscience primarily reports on the main issues. Scope Science issues Scopes related to this topic include: Agriculture, Climate, Mathematics & Statistics, Applied Physics, Fundamental Science in Engineering, Bioscience & Biotechnology. Engineering and Technology issues Scopes related to this topic include: Mechanical & Structures, Electrical, Communications & Systems, Fuel and Energy, Material, Termal Management, Safety System and Technology, Maintenance Technology, Automotive . Information and Technology issues Scopes related to this topic include: Artificial Intelligence, Computer Science, E-learning & Curriculum, Information Science, Multimedia, Science Technologies, Information Networks, Internet & Mobile Computing, Machine Learning, Information Science.
Arjuna Subject : -
Articles 222 Documents
 19   20   21   22   23 
Analysis of material demand prediction using time series method to minimize PT XYZ Redpost data Rifki Maulana; Sutrisno; Naufal Rabbani Sumitra
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2367

Abstract

Inaccurate inventory management can lead to stockouts (RedPost) which disrupts the production process in manufacturing companies. This study aims to analyze material demand patterns and determine the most accurate forecasting method to minimize RedPost occurrences at PT XYZ. The method used is a quantitative approach with time series forecasting techniques, namely Double Exponential Smoothing (DES), Moving Average, and linear regression, using historical demand data for one year obtained through documentation and interviews. The results show that the Double Exponential Smoothing (DES) method provides the best level of accuracy with the lowest error value, namely MSE of 5312.426 compared to other methods. The characteristics of demand data that are non-stationary and tend to follow trend patterns make trend-based methods more appropriate to use than simple average methods. Thus, the application of the Double Exponential Smoothing (DES) method can help to reduce the risk of RedPost and improve efficiency and inventory management, as well as support more effective, measurable, and data-based operational decision making.
Implementation of EOQ and ROP inventory control for raw materials in book printing businesses Heppy Putri Agustin; Endra Rahmawati; Pradita Maulidya Effendi
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2365

Abstract

Book publishing businesses often face challenges in managing raw materials due to the diverse specifications of books. In reality, manual stock control can lead to inaccurate inventory data. This can lead to excess or shortages of stock and increased storage costs, disrupting the production process. This study aims to develop a web-based application for raw material inventory control in book printing by integrating the Economic Order Quantity (EOQ) and Reorder Point (ROP) methods. The application calculates the optimal order quantity using the EOQ method to minimize total inventory costs, while the ROP method determines the appropriate reorder point to prevent delays in material replenishment. The results indicate that the integration of EOQ and ROP provides effective recommendations for optimal ordering and timely replenishment, thereby improving stock stability. Black-box testing across 64 scenarios confirmed that all system functions operated correctly, while User Acceptance Testing (UAT) showed an acceptance rate of 84%, indicating good user satisfaction. Overall, the web-based inventory control system with the EOQ and ROP methods is able to optimize the determination of order quantities and ensure that raw material replenishment can be carried out on time

Page 23 of 23 | Total Record : 222

 19   20   21   22   23 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol 14 No 1 (2027): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 13 No 1 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 12 No 2 (2025): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 12 No 1 (2025): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 11 No 1 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 10 No 2 (2023): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 10 No 1 (2023): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 9 No 2 (2022): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 9 No 1 (2022): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 8 No 2 (2021): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 8 No 1 (2021): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 7 No 2 (2020): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika Vol 7 No 1 (2020): Teknosains : Jurnal Sains, Teknologi dan Informatika More Issue