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Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
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+6282161108110
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mib.stmikbd@gmail.com
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Jalan sisingamangaraja No 338 Medan, Indonesia
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Sumatera utara
INDONESIA
JURNAL MEDIA INFORMATIKA BUDIDARMA
ISSN : 26145278     EISSN : 25488368     DOI : http://dx.doi.org/10.30865/mib.v3i1.1060
Decission Support System, Expert System, Informatics tecnique, Information System, Cryptography, Networking, Security, Computer Science, Image Processing, Artificial Inteligence, Steganography etc (related to informatics and computer science)
Articles 8 Documents
Search results for , issue "Vol 3, No 2 (2019): April 2019" : 8 Documents clear
Deteksi Wajah Secara Real Time Menggunakan Metode Camshift Susanti, Rita; Fadillah, Nurul
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1113

Abstract

Face recognition research has now become a research topic that is occupied by many researchers both domestically and abroad because of the many benefits and uses of the research results. Some of the benefits of research introduce faces include security systems and robotics. Researchers introduced faces that have begun to develop the last few and have been applied mainly to security systems. Many methods can be used in face recognition, one of which is face recognition in real time using the Camshift method, Based on the results of trials on poses Having different results, In this experiment, it consisted of several tests namely testing of face detection and assessment and testing face is carried out in four types of testing, namely face recognition testing at a distance of 30 cm, face recognition testing at a distance of 50 cm, testing at a distance of 100 cm and testing using accessories. 
Perbaikan Tingkat Kekaburan Gambar Akibat Pembesaran Pada Hasil Creenshot Dengan Metode Unsharp Mask Aripin, Soeb
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1096

Abstract

Screenshot is a display image taken from a monitor screen such as computers, tablet PCs and smartphones. The image results from the screenshot have a low level of sharpness and smoothness. If this image is enlarged, the quality becomes low like blur. To improve the quality of the image so that it is not blurred when enlarged, then the process of sharpening and smoothing. This process will improve the quality of the image to be better. The image that is processed in this research is the image screenshot. Furthermore, the image is processed using digital image processing using Matlab software. The processing stages are crop, image enhancement and unsharp mask. The image of the image enhancement and unsharp mask results are collaborated to increase and increase the sharpness and smoothness of the image in the results of the screenshot image being tested. The results of testing on this method with better sharpness quality with a comparison of images using the mean square error of 0.0627.2404%. The image of the test results can be concluded that the value of the pixels sought has a larger image size than the original and has a resolution greater than the initial image and sharpness and smoothness so that the unsharp mask method can improve the sharpness and smoothness of the image. But the changes produced using the method have not been significant enough.
Deteksi Objek Berwarna Merah Secara Real Time Dengan Algoritma Color Filtering Dewi, Yona Fransiska; Fadillah, Nurul
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1114

Abstract

The various knowledge and techniques of digital image processing currently available vary greatly. Research and development has been carried out towards object detection and tracking. Color is one of the parameters used to detect and track objects. Humans can distinguish a color, but a computer may not necessarily recognize that color. Digital image processing techniques that can recognize colors, one of which is color filtering. In this study, Color filtering is a technique of processing digital images based on specific colors, detecting and tracking colors by using a web camera (webcam) and red objects. Object Tracking is the process of following an object that moves and moves position, so that the colored object being tracked will draw in realtime with the results of the colors that can be selected.
Manajemen User Interface Pada Game 2D Berbasis Finite State Machine Hariadi, Fajar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1159

Abstract

User interface is very important in a game cause it manages how the player interacts with the game itself. Managing a lot of menu in the user interface is quite challenging for the developer of the game. The menu can have a lot of different function in each part of the sub-menu. So in this article, we will see how to use the Finite State Machine concept for solving the management problems
Aplikasi Pendukung Penetapan Harga Produk Untuk Usaha Mikro, Kecil, dan Menengah (UMKM) Berbasis Web Responsive Wahyudi, Rizki
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1107

Abstract

This study aims to create a design for supporting pricing applications in Micro, Small and Medium Enterprises (MSMEs). Determination of product prices is an important thing, one of them from the aspect of costs so that products sold can provide benefits for the company. In pricing, companies must pay attention to production and nonproduction costs, in general, there are 4 main variables that must be included in the calculation of product prices namely Raw Material Costs, Labor Costs, Fixed Factory Overhead Costs and Variables, and Nonproduction Costs. In order for research to be directed, then the method of developing an Extreme Programming system is object-oriented, it can be done with a small team, and interactions that are intent- live with the user can maximize the development of an effective and efficient system. Stages of Extreme Programming, Planning, Design, Coding, and Testing. It is expected that with the pricing application the company can maximize profits through the price determination process. Based on the results of the Blackbox Testing test, all functional systems on the application work well.
Sistem Pendukung Keputusan Menentukan Pemberian Pinjaman Modal dengan Metode Multi Attribute Utility Theory Nasyuha, Asyahri Hadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1093

Abstract

Technology development is very rapid, computers are utilized not only limited to data processing but also as solutions to problem solving in various fields of science, one of which is a decision support system. Decision support systems have added value in helping decision making by utilizing data and models to solve unstructured problems. In this case the decision support system is used to determine business capital borrowing using the Multi Attibute Utility Theory method. From the research carried out, many people have proposed business capital loans so that the capital provider is difficult to determine the prospective acceptance of appropriate business capital. Multi Attribute Utility Theory is used to find weighted sums of performance ratings for each alternative based on the values of each criterion. Ranking is the result of calculations using the Multi Attribute Utility Theory method.
Principal Component Analysis Sebagai Ekstraksi Fitur Data Microarray Untuk Deteksi Kanker Berbasis Linear Discriminant Analysis Astuti, Widi; Adiwijaya, Adiwijaya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1161

Abstract

Cancer is one of the leading causes of death globally. Early detection of cancer allows better treatment for patients. One method to detect cancer is using microarray data classification. However, microarray data has high dimensions which complicates the classification process. Linear Discriminant Analysis is a classification technique which is easy to implement and has good accuracy. However, Linear Discriminant Analysis has difficulty in handling high dimensional data. Therefore, Principal Component Analysis, a feature extraction technique is used to optimize Linear Discriminant Analysis performance. Based on the results of the study, it was found that usage of Principal Component Analysis increases the accuracy of up to 29.04% and f-1 score by 64.28% for colon cancer data.
Sistem Pakar Diagnosa Gangguan Hiperaktif Pada Anak Dengan Metode Naive Bayes Berbasis Web Ervinaeni, Yunia; Hidayat, Aziz Setyawan; Riana, Eri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1158

Abstract

Disorder concentration attention or better known as ADHD (Attention Deficit Hyperactivity Disorder) is one of the main psychiatric problems that are often found in children. Hyperactive disorders are usually seen in children and as we get older the more difficult to deal with. There were 3 hyperactive disorders taken in this study namely hyperactivity, Impulsivity, Inattetion (Personality Problems). To help diagnose these hyperactive disorders, an expert system application is made to diagnose hyperactive disorders in children that can facilitate the public in diagnosing hyperactive disorders in children. Making this web-based expert system application uses the Naive Bayes method. The Naive Bayes method is a simple opportunity classification based on the application of the Bayes theorem with the assumption that between variables (independent) the presence or absence of a particular event from a group is not related to the presence or absence of other events. The final results are given in the form of a percentage of the diagnosis of hyperactivity in children.

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