cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
ComTech: Computer, Mathematics and Engineering Applications
Published by Universitas Bina Nusantara
ISSN : 20871244     EISSN : 2476907X     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Engineering Mathematics
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 71 Documents
 1   2   3   4   5 
Search results for , issue "Vol. 3 No. 1 (2012): ComTech" : 71 Documents clear
Kekonvergenan MSE Penduga Kernel Seragam Fungsi Intensitas Proses Poisson Periodik dengan Tren Fungsi Pangkat Ro’fah Nur Rachmawati
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.v3i1.2403

Abstract

The number of customers who come to a service center will be different for each particular time. However, it can be modeled by a stochastic process. One particular form of stochastic process with continuous time and discrete state space is a periodic Poisson process. The intensity function of the process is generally unknown, so we need a method to estimate it. In this paper an estimator of kernel uniform of a periodic Poisson process is formulated with a trend component in a rank function (rank coefficient 0 <b <1 is known, and the slope coefficient of the power function (trend) a> 0 is known). It is also demonstrated the convergenity of the estimators obtained. The result of this paper is a formulation of a uniform kernel estimator for the intensity function of a periodic Poisson process with rank function trends (for the case “a” is known) and the convergenity proof of the estimators obtained.
Autokorelasi Spasial untuk Identifikasi Pola Hubungan Kemiskinan di Jawa Timur Rokhana Dwi Bekti
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.v3i1.2404

Abstract

Spatial autocorrelation is a spatial analysis to determine the relationship pattern or correlation among some locations (observation). On the poverty case of East Java, this method will provide important information for analyze the relationship of poverty characteristics in each district or cities. Therefore, in this research performed spatial autocorrelation analysis on the data of East Java’s poverty. The method used is moran's I test and Local Indicator of Spatial Autocorrelation (LISA). The analysis showed that by the moran's I test, there is spatial autocorrelation found in the percentage of poor people amount in East Java, both in 2006 and 2007. While by LISA, obtained the conclusion that there is a significant grouping of district or cities.
Perbandingan Metode Gaussian Particle Swarm Optimization (GPSO) dan Lagrange Multiplier pada Masalah Economic Dispatch Siti Komsiyah
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.v3i1.2407

Abstract

On electric power system operation, economic planning problem is one variable to take into account due to operational cost efficiency. Economic Dispatch problem of electric power generation is discussed in this study to manage the output division on several units based on the the required load demand, with minimum operating cost yet is able to satisfy equality and inequality constraint of all units and system. In this study the Economic Dispatch problem which has non linear cost function is solved using swarm intelligent method is Gaussian Particle Swarm Optimization (GPSO) and Lagrange Multiplier. GPSO is a population-based stochastic algorithms which their moving is inspired by swarm intelligent and probabilities theories. To analize its accuracy, the Economic Dispatch solution by GPSO method is compared with Lagrange Multiplier method. From the test result it is proved that GPSO method gives economic planning calculation better than Lagrange Multiplier does.
Perancangan Program Aplikasi Market Basket Analysis untuk Mendukung Persediaan Barang dengan Metode Fuzzy C-Covering Zahedi Zahedi; Charies Chandra
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.v3i1.2410

Abstract

Any difficulty in analyzing sales transaction data is often faced by a company due to the huge number of sales transactions and the limited tools to process the data. It results in losses for the company since it is difficult to estimate the goods supply for subsequent sales. In this paper a data mining application is designed to analyze sales data. Market Basket Analysis is a data mining application that aims to determine most purchased or used products at once by the consumer. The process of Market Basket Analysis is to analyze consumer buying habits by finding associations among products purchased by different customers. The method used in Market Basket Analysis is a method of Fuzzy c-Covering, which is one method to classify the elements of a universal set into partitions of fuzzy sets. This study found that the value of support and confidence is part of the Market Basket Analysis, computed using the Fuzzy c-Covering. The higher the limit, the more selected the analytical results obtained are.
Seleksi Citra Berdasarkan Ciri dengan Algoritma Threshold Mengunakan Fuzzy Kurva S dan Fungsi Min A. Haris Rangkuti
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.v3i1.2411

Abstract

Image retrieval process of fruits and flowers with CBIR concept was represented by the colors and shapes using adaptive histogram method for color, and invariant moment for shape. To measure the similarity between the query image and the basis data image Euclidean distance function was used, where the result is f(x). Calculations for f (y) through the process of ‘fuzzy-ing’-S curve, where the value of f(x) guides the sigmoid function. The value f(y) on each image than the threshold value based image query. Basically, the algorithm displays the image based on Threshold features, by comparing the threshold value with the value f(y). A high grade value (approaching 1) indicates that the feature of the sample (query) image is similar to the basis data image, and vice versa. The process was continued by comparing the value grades of the image representation of color and form using min operator in fuzzy logic, so that it only displayed several images that have some resemblances in accordance with the original image. The advantage of threshold algorithm and the fuzzy function - compared to other methods – lies in the simplicity method in the image retrieval, so that the performance of CBIR becomes more reliable and effective.
Perancangan Sistem E-Learning Berbasis Web pada World Vision Indonesia Agus Putranto
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.v3i1.2412

Abstract

World Vision Indonesia has several training programs with a very large total cost for 936 employees located in various parts of Indonesia, so that the manual training is considered less effective. Therefore, this research is conducted to design a learning management system application that supports the training process within the organization, and determine the needs for training materials. This research implemented strategyanalysis based on matrix EFE, IFE, SWOT, IE, and QSPM, as well as analysis and design of materials using Addie model. Meanwhile the design used a structured design method or OOAD. This research resulted in an application that supports the learning management system training process within the organization, provides accessible training materials by all employees at any time, and provides various features that creates training activities more effectively. The implementation of learning management system supports the company's strategy primarily to improve the quality of employees as well as reduces communication barriers between trainers and trainees both within and outside of training time.
Sistem Pakar Berbasis Web untuk Pengenalan Dini terhadap Karakter Investasi Individu Albert V. Dian Sano
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.v3i1.2414

Abstract

The objective of this research is to develop a web-based expert system for early detection towards characters of investment of people who will invest immediately on their productive ages. The development of this application is encompassing four primary activities in developing an expert system, namely: knowledgeacquisition, knowledge representation, knowledge inferencing, and knowledge transfering. Knowledge acquisition is a process of acquisition or transfering knowledge or expertise of an expert through a knowledge engineer. Knowledge representation is a process of transfering knowledge into a computer based system. Knowledge inferencing is a reasoning process performed by an expert system to draw a conclusion or a final result. The reasoning process applies a forward-chaining method. Knowledge transfering is a process of transfering knowledge from an expert system to a user (non-expert one) through a user interface of the expert system. This expert system has been tested to about 300 users. This simple system generally runs quite well although there are still some weakness to refine in the further research.
Penerapan E-Customer Relationship Management pada Taman Kanak-Kanak Hanifa Dina Chairuna; Yuliana Lisanti; Engkos Achmad Kuncoro
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.v3i1.2415

Abstract

Maintaining relationships with customers is an important factor to be the key to success of Hanifa kindergarten as a pre-school institution. It requires a precise strategy to be executed and a system to support the strategy. The design method begins with several analyses on the running business processes and the external and internal factors that affect the school. The analyses are then followed by a SWOT Matrix and Internal-External Matrix which produce several alternative strategies to be implemented. The strategy formulation results in a website-based application of E-Customer Relationship Management (E-CRM) with features including three phases in Customer Relationship Management, which are acquire phase, enhance phase and retain phase. The analysis and system design is conducted using object-oriented analysis and design (OOA & D) as documented by notation Unified Modeling Language (UML).
Desain Data Warehouse pada Sistem Informasi Sumber Daya Manusia Sub-Sistem Rekrutmen Eka Miranda
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.v3i1.2416

Abstract

Employees as a resource management are essential to improve the effectiveness of company’s performance and process efficiency. This paper discusses the implementation of data warehouse and its role in assisting the decision making related to recruitment activities undertaken by Human Resources Department. In this research built a data warehouse design to store large amounts of data and to gain potentially a new perspective of data distribution as well as to provide reports and solutions for users the ad hoc question and to analyze the transactional data. This study aims to design a data warehouse to support accurate decision making related to human resource management in order to create high performance productivity. The method used in this paper consists of: (1) data collection using interview and literature study related to employee recruitment and (2) data warehouse design derived from Teh Ying Wah et al. This research results in a data warehouse design and its implementation to analyze transactional data from the related activities of recruitment and employee management to support decision making.
Implemetasi Data Warehouse pada Bagian Pemasaran Perguruan Tinggi Eka Miranda; Rudy Rudy; Eli Suryani
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.v3i1.2417

Abstract

Transactional data are widely owned by higher education institutes, but the utilization of the data to support decision making has not functioned maximally. Therefore, higher education institutes need analysis tools to maximize decision making processes. Based on the issue, then data warehouse design was created to: (1) store large-amount data; (2) potentially gain new perspectives of distributed data; (3) provide reports and answers to users’ ad hoc questions; (4) perform data analysis of external conditions and transactional data from the marketing activities of universities, since marketing is one supporting field as well as the cutting edge of higher education institutes. The methods used to design and implement data warehouse are analysis of records related to the marketing activities of higher education institutes and data warehouse design. This study results in a data warehouse design and its implementation to analyze the external data and transactional data from the marketing activities of universities to support decision making.

Page 3 of 8 | Total Record : 71

 1   2   3   4   5 

Filter by Year

2012 2012


Reset
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 Vol 11, No 1 (2020): ComTech (Inpress) Vol 10, No 2 (2019): ComTech Vol. 10 No. 2 (2019): ComTech Vol 10, No 1 (2019): ComTech Vol. 10 No. 1 (2019): ComTech Vol 10, No 1 (2019): ComTech (In Press) 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