cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
ComTech: Computer, Mathematics and Engineering Applications
ISSN : 20871244     EISSN : 2476907X     DOI : -
The journal invites professionals in the world of education, research, and entrepreneurship to participate in disseminating ideas, concepts, new theories, or science development in the field of Information Systems, Architecture, Civil Engineering, Computer Engineering, Industrial Engineering, Food Technology, Computer Science, Mathematics, and Statistics through this scientific journal.
Arjuna Subject : -
Articles 15 Documents
Search results for , issue "Vol. 6 No. 4 (2015): ComTech" : 15 Documents clear
Porcelain Product Quality Analysis in PT XYZ Ho Hwi Chie; Januar Nasution; Ketut Gita Ayu; Nike Septivani; Yualfin Renaldi
ComTech: Computer, Mathematics and Engineering Applications Vol. 6 No. 4 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i4.2195

Abstract

PT. XYZ is a company engaged in manufacturing porcelain dinner ware such as plates, cups, teapot, bowl, etc Porcelain product is safe for use and product defect will only affect the aesthetic not the functional side. The company always maintain the quality of the products produced as by maintaining a good product, in terms of visuals, will keep customers interested in the product. Good quality products characterized by quality A / B and C, and the product defect characterized by the quality of D, Lost, and BU. Concepts and methods used to analyze is a statistical process control (SPC) which includes Pareto diagram, fraction nonconformities, flow charts and fishbone diagrams and management tools (fault tree analysis). Statistical Process Control (SPC) is one of the methods, which includes Pareto charts, fraction nonconformities, flow chart, and fishbone diagram and also management tools (fault tree analysis). SPC is useful to find the facts from the problems and factors that affect the quality of the products, while fault tree analysis is useful to analyze each of the production process.
The Effect of 5K2S Implementation to the Opportunities of Increasing Productivity and Workplace Improvement in PT. Andesen Jaya Plastik Rachmatullah Rachmatullah; Tota Pirdo Kasih; Hardi Humiras Purba
ComTech: Computer, Mathematics and Engineering Applications Vol. 6 No. 4 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i4.2197

Abstract

The success of Japanese companies in improving productivity is because they have a culture and a high work ethic to the application of KAIZEN management system. One such application is the Cultural 5S (Seiri, Seiton, Seiso, Seiketsu, Shitsuke). In the Astra group, 5S is known as 5K2S (Order, neatness, cleanliness, sustainability Discipline, Safety, and Service). This study aims to assess the success of the application of the system 5K2S of PT. Andesen Jaya Plastik relating to opportunities for productivity. The method used isquantitative method with a descriptive study. The type of data used is primary and secondary data. While the techniques used in collecting the data are interviews, questionnaires, and literature studies. The number ofrespondents was 31 employees. Analysis of the data used is descriptive and multiple linear regression analysis. The real success rate reachs 82.24% at the stage of familiarization (effective) and they have not yet advanced tothe next stage (prevention). The response of employees is between the Agree and Strongly Agree that is 4.11 point. The correlation between 5K2S to the opportunity of significant Productivity Improvement is Seiri/Order,Seiso/neatness, and Seiketsu/Sustainability.
Data Warehouse Design with Kimball Method: Case Study of Fahrenheit Manufacturing Systems Widianty Widianty
ComTech: Computer, Mathematics and Engineering Applications Vol. 6 No. 4 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i4.2200

Abstract

Competition in the business world that increasingly stringent requires management to make decisions accurately and quickly. It is also felt by Farhenheit as entrepreneurs. To achieve thier forte in competing in theglobal competition, he needs systems like strategic decision makers which is up-to-date reliable and fast. Then the solution of area manufatur datawarehouse design is necessary to support the above objectives,i.e. : the right and fast decisions. However, Fahrenheit only has ERP as their core system currently and they do not have management support system. They have some difficulty to understand some problems and do better analysis. There are some datawarehouse development methodologies. Methods that will be used for the development of datawarehouse design is Kimball Method. Kimball method was chosen because of its development process that follows the business process is very suitable for the development of datawarehouse gradually to a company.Kimball's method gives a mart for the related business processes.This study is conducted by interview and survey from several senior managers and directors in Fahrenheit to know about their requirement and how they do analysis currently.
Fractal Communication System Using Digital Signal Processing Starter Kit (DSK) TMS320c6713 Arsyad Ramadhan Darlis
ComTech: Computer, Mathematics and Engineering Applications Vol. 6 No. 4 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i4.2202

Abstract

In 1992, Wornell and Oppenheim did research on a modulation which is formed by using wavelet theory. In some other studies, proved that this modulation can survive on a few channels and has reliability in some applications. Because of this modulation using the concept of fractal, then it is called as fractalmodulation. Fractal modulation is formed by inserting information signal into fractal signals that are selffractal similary. This modulation technique has the potential to replace the OFDM (Orthogonal Frequency Division Multiplexing), which is currently used on some of the latest telecommunication technologies. The purpose of this research is to implement the fractal communication system using Digital Signal Processing Starter Kit (DSK) TMS320C6713 without using AWGN and Rayleigh channel in order to obtain the ideal performance of the system. From the simulation results using MATLAB7.4. it appears that this communication system has good performance on some channels than any other communication systems. While in terms of implementation by using (DSK) via TMS320C6713 Code Composer Studio (CCS), it can be concluded that thefractal communication system has a better execution time on some tests.
Arrangement of Players Position in Soccer Using the Technique of Naive Bayes Gusti Made Trisetya Putra; Muhammad Rusli
ComTech: Computer, Mathematics and Engineering Applications Vol. 6 No. 4 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i4.2204

Abstract

In the modern soccer era, soccer is already considered as an entertainment, even modern soccer already become as an industry or a business that considered can bring a great profit to the club owner. One of the most important factor in building a team is young age soccer player development. Right young age soccer player development method, can be very helpful in establish a good team. A professional team must have acoach, for the first team or junior team. The duties of a coach is determine a right position for soccer player in the game, this duties sometimes make a coach is hard to making a right decision. This research will discussabout how to design a decision support system for determine soccer player using naive bayes technique. Data mining used naive bayes technique for find a prediction for soccer player based on the player skill test result. From this research result, it can be seen that by using decision support system using data mining with naive bayes technique can be help coach performance in determine position for soccer player especially for young age soccer player development so that can help coach in the making right decision effectively and efficiently.

Page 2 of 2 | Total Record : 15


Filter by Year

2015 2015


Filter By Issues
All Issue Vol. 16 No. 2 (2025): ComTech Vol. 16 No. 1 (2025): ComTech Vol. 15 No. 2 (2024): ComTech Vol. 15 No. 1 (2024): ComTech Vol. 14 No. 2 (2023): ComTech Vol. 14 No. 1 (2023): ComTech Vol. 13 No. 2 (2022): ComTech Vol. 13 No. 1 (2022): ComTech Vol. 12 No. 2 (2021): ComTech Vol. 12 No. 1 (2021): ComTech Vol. 11 No. 2 (2020): ComTech Vol 11, No 1 (2020): ComTech (Inpress) Vol. 11 No. 1 (2020): ComTech Vol 10, No 2 (2019): ComTech Vol. 10 No. 2 (2019): ComTech Vol 10, No 1 (2019): ComTech (In Press) Vol 10, No 1 (2019): ComTech Vol. 10 No. 1 (2019): ComTech Vol. 9 No. 2 (2018): ComTech Vol 9, No 2 (2018): ComTech Vol 9, No 2 (2018): ComTech Vol 9, No 1 (2018): ComTech Vol 9, No 1 (2018): ComTech Vol. 9 No. 1 (2018): ComTech Vol. 8 No. 4 (2017): ComTech Vol 8, No 4 (2017): ComTech Vol 8, No 4 (2017): ComTech Vol 8, No 3 (2017): ComTech Vol 8, No 3 (2017): ComTech Vol. 8 No. 3 (2017): ComTech Vol 8, No 2 (2017): ComTech Vol 8, No 2 (2017): ComTech Vol. 8 No. 2 (2017): ComTech Vol 8, No 1 (2017): ComTech Vol. 8 No. 1 (2017): ComTech Vol 8, No 1 (2017): ComTech Vol 7, No 4 (2016): ComTech Vol 7, No 4 (2016): ComTech Vol. 7 No. 4 (2016): ComTech Vol. 7 No. 3 (2016): ComTech Vol 7, No 3 (2016): ComTech Vol 7, No 3 (2016): ComTech Vol. 7 No. 2 (2016): ComTech Vol 7, No 2 (2016): ComTech Vol 7, No 2 (2016): ComTech Vol 7, No 1 (2016): ComTech Vol 7, No 1 (2016): ComTech Vol. 7 No. 1 (2016): ComTech Vol 6, No 4 (2015): ComTech Vol 6, No 4 (2015): ComTech Vol. 6 No. 4 (2015): ComTech Vol. 6 No. 3 (2015): ComTech Vol 6, No 3 (2015): ComTech Vol 6, No 3 (2015): ComTech Vol 6, No 2 (2015): ComTech Vol. 6 No. 2 (2015): ComTech Vol 6, No 2 (2015): ComTech Vol. 6 No. 1 (2015): ComTech Vol 6, No 1 (2015): ComTech Vol 6, No 1 (2015): ComTech Vol 5, No 2 (2014): ComTech Vol. 5 No. 2 (2014): ComTech Vol 5, No 2 (2014): ComTech Vol 5, No 1 (2014): ComTech Vol. 5 No. 1 (2014): ComTech Vol 5, No 1 (2014): ComTech Vol. 4 No. 2 (2013): ComTech Vol 4, No 2 (2013): ComTech Vol 4, No 2 (2013): ComTech Vol 4, No 1 (2013): ComTech Vol 4, No 1 (2013): ComTech Vol. 4 No. 1 (2013): ComTech Vol 3, No 2 (2012): ComTech Vol 3, No 2 (2012): ComTech Vol. 3 No. 2 (2012): ComTech Vol 3, No 1 (2012): ComTech Vol 3, No 1 (2012): ComTech Vol. 3 No. 1 (2012): ComTech Vol 2, No 2 (2011): ComTech Vol. 2 No. 2 (2011): ComTech Vol 2, No 2 (2011): ComTech Vol 2, No 1 (2011): ComTech Vol. 2 No. 1 (2011): ComTech Vol 2, No 1 (2011): ComTech Vol. 1 No. 2 (2010): ComTech Vol 1, No 2 (2010): ComTech Vol 1, No 2 (2010): ComTech Vol 1, No 1 (2010): ComTech Vol 1, No 1 (2010): ComTech Vol. 1 No. 1 (2010): ComTech More Issue