cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
mib.stmikbd@gmail.com
Editorial Address
Jalan sisingamangaraja No 338 Medan, Indonesia
Location
Kota medan,
Sumatera utara
INDONESIA
JURNAL MEDIA INFORMATIKA BUDIDARMA
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 26145278     EISSN : 25488368     DOI : http://dx.doi.org/10.30865/mib.v3i1.1060
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
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)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,182 Documents
 12   13   14   15   16 
Penerapan Sistem Pendukung Keputusan Dalam Menentukan e-Commerce Terbaik Dengan Menggunakan Metode SAW Jenni Veronika Br Ginting
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1986

Abstract

e-Commerce is the sale and purchase of goods or a product online for example like a consumer comes to a store that sells everything we need in everyday life and we can get it with just one finger in an application or on an official website with a network Internet. but behind the convenience there are still things that make a consumer not want to do a transaction buying and selling online because there are still many e-commerce sites that make consumers disappointed in making online transactions from the form of products received are not as good as those marketed on these online buying and selling sites, late in agreement for estimating the day of receipt of goods from the applicable provisions, and the seller's response to the buyer is bad, therefore it is necessary to implement a computer to support the decision in determining the best e-commerce, so consumers can choose which e-commerce site to visit, the method Simple Additive Weighting (SAW) is an easy method in the ranking search stage in determining a decision based on the system.
Perancangan Permainan Ular Tangga Multiplayer Berbasis Android Rahmat Hidayatullah; Atma Hadiansa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 2, No 3 (2018): Juli 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v2i3.607

Abstract

Snake game ladder is a much-loved game on the cellular telephone a few years ago, but as it grew its technology today many people use cell telephone based on android, so snake game that had rucked also lagged. As the game develops in accordance with technology, conventional games that used to be a lot of interest to be left behind. Therefore in this research the ladder snake game will design a game of snake ladder with waterfall method and backtracking algorithm purpose of this research is this game can run on Jellybeans Android OS until latest Android OS version.
Sistem Informasi Pengarsipan Surat Masuk dan Surat Keluar Pada Dinas Tenaga Kerja dan Transmigrasi Kabupaten Musi Banyuasin Rahayu Amalia; Nurul Huda
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.2033

Abstract

In an agency or company a letter is one of the most important communication media. The letter is in the form of incoming and outgoing letters. At the Banyuasin Regency Manpower and Transmigration Office, management of incoming and outgoing letters is still done manually starting from making, storing, documenting, to verifying letters, all done manually so as to result in ineffective and inefficient energy, time and cost. Letter Filing Information System can be a solution to this problem. The methodology used to design this information system is to use the RAD (Rapid Application Development) method and the program produced in this system is the Information System for Filing Incoming and Outgoing Letters at the Manpower and Transmigration Office of Musi Banyuasin Regency using PHP as a programming language and MySQL as the database
PENERAPAN METODE PREWITT, CANNY DAN SOBEL PADA PROSES DETEKSI TEPI CITRA Polinus Laia
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 2, No 1 (2018): Januari 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v2i1.996

Abstract

Edge detection is the first step to completing information in an image where the edges characterize object boundaries that are useful for the identification process. There are many methods of edge detection, but in this study, the methods taken are the Prewitt method, the CANNY method and the Sobel method to detect the edges of objects in digital images. This system applies all three methods to improve the appearance of the boundary line of an object. This study discusses how to apply the three methods in the application Matlab 7.1. The purpose and benefits of this application are to recognize the application of the results of edge detection and obtain initial information about the edge detection features for object recognition for future researchers.
Sistem Pendeteksi Kebocoran LPG Untuk Smarthome Berbasis IoT dengan Metode Fuzzy Ciksadan Ciksadan; Suroso Suroso; Yuris Ramadhona
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.1238

Abstract

Common problems that often occur in users of LPG gas, especially LPG gas with a size of 3kg are the wrong way of installation and the leakage of gases that are not detected by the sense of human smell that often causes fires. Fires were triggered due to sparks or even by an electronic device that is still on due to manual operation of electronic devices so that users forget to shut down the device when not in use. Therefore, an integrated technology of a system that can control electronic devices automatically and monitor LPG gas leakage thereby reducing the risk of gas leaks that are not detected by the sense of smell of humans and the risk of fire due to electronic devices that continue to ignite when not in use. The sensors used in this system are PIR sensors to detect human presence and MQ6 sensors to detect the presence of leaky gas and Raspberry pi as processors based on Internet Of Things using the fuzzy logic method as the MQ6 sensor input receiver. This system will automatically turn on the lights when a human being is detected and turn off the lights when there are no humans, besides this system will also automatically turn on the buzzer as a warning when a gas leak is detected. Data received by raspberry pi will be stored on the web server and sent to the user's e-mail in the form of gas leak status and electronic device status
Aplikasi Pendukung Penetapan Harga Produk Untuk Usaha Mikro, Kecil, dan Menengah (UMKM) Berbasis Web Responsive Rizki Wahyudi
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.
Perancangan Sistem Efisiensi Penggunaan Energi Listrik Menggunakan Sensor Gerak dan Sensor Arus Sarmayanta Sembiring; Hadir kaban; Rido Zulfahmi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2134

Abstract

Efficiency system in using electrical energy has been designed using a PIR motion sensor, current sensor SCT-013-030, infrared LED and relay with a controller using Arduino Uno. The system is designed to turn off electronic equipment such as air conditioners, projectors and lights automatically as a solution from users forgetting to turn off electronic equipment when it is no longer in use. The experimental results show that the system has been running well, where the system can detect no movement for a predetermined time by using a PIR motion sensor. Detection of electronic equipment using sensors SCT-013-030 has been able to distinguish the state of the equipment whether it is ON or OFF based on differences in sensor output data that is read by the Arduino analog port. Sensor data when detecting the lamp when OFF is average = 1.333 while the mini projector and TV when off the average sensor data value = 1.667. The average current sensor data when detecting lights when ON = 5,333, mini projector = 8,333 and TV = 11,333. Overall the system designed has been able to turn off the equipment that is still active when the sensor does not detect any human movement during a predetermined time
Pengujian Algoritma MTCNN (Multi-task Cascaded Convolutional Neural Network) untuk Sistem Pengenalan Wajah Yovi Pratama; Marrylinteri Istoningtyas; Errissya Rasywir
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 3 (2019): Juli 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i3.1324

Abstract

Measurement of facial similarity or checking similarity is done using features. The algorithm for describing the most up-to-date and best face features for generating features is Deep Convolutional Neural Network (DCNNs). Based on this, this study uses MTCNN (Multi-task Cascaded Convolutional Neural Network) as one variation of the DCNN method. In this research, we built a research system to test results with javascript. Given the many needs that are based on mobile or can be run on a smartphone. One of them is to support the absent feature that is used in a mobile manner such as the reporting system of sales and marketing performance or members of the police personnel who normally work on a mobile basis. From the results of the tests carried out automatically using several variation models testing the image of the Aberdeen dataset as many as 60 images from 30 different people used in the face recognition research system using MTCNN with influencing image parameters such as lighting variations, object position variations, then the position taken and expression face on the object image, the research system managed to do face recognition by 100%. Thus, true positive values are equal to the amount of data tested and zero negative true values.
Pengelompokkan Data Bencana Alam Berdasarkan Wilayah, Waktu, Jumlah Korban dan Kerusakan Fasilitas Dengan Algoritma K-Means Murdiaty Murdiaty; Angela Angela; Chatrine Sylvia
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2213

Abstract

Indonesia has fertile soil, natural resources and abundant marine resources. However, Indonesia is also not immune to the risk of natural disasters which are a series of events that disturb and threaten life safety and cause material and non-material losses. Indonesia's strategic geological location causes Indonesia to be frequently hit by earthquakes, volcanic eruptions and other natural disasters. From the data collected, natural disasters that occurred in Indonesia consisted of several categories, namely earthquakes, volcanic eruptions, floods, landslides, tornados, and tsunamis. Many natural disasters in Indonesia have caused casualties, both fatalities and injuries, destroying the surrounding area and destroying infrastructure and causing property losses. The trend of increasing incidence of natural disasters needs to be further investigated to prevent the number of victims from increasing. This information can be obtained through a data mining approach given the large amount of data available. In relation to natural disaster data, clustering techniques in data mining are very useful for grouping natural disaster data based on the same characteristics so that the data can be adopted as a groundwork for predicting natural disaster events in the future. Thus, this research is supposed to group natural disaster data using clustering techniques using the k-means algorithm into several groups, in terms of natural disaster types, time of disaster, number of victims, and damage to various facilities as a result of natural disasters
Klasifikasi Kecerdasan Majemuk pada Anak Berdasarkan Posting Aktivitas di Media Sosial Menggunakan SentiStrength dan Spearman's Rank Correlation Coefficient Baihaqi Siregar; Cindy Aprilia; Filia D Anggaraeni; Ivan Jaya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 4 (2019): Oktober 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i4.1500

Abstract

Intelligence are things related to intelligence, intellectual action, and perfect development of the mind. Every human being has the right to develop himself based on intelligence. A child who is good at playing violin shouldn't let himself feel like he is stupid because he is unable to complete his mathematical tasks. Therefore, the author wants to create a system for determining children's talent based on multiple intelligence as measured by the tendency of posts about their daily activities on social media by using the Sentistrength and Spearman's Correlation Coefficient methods. The purpose of this research is to create a social media application called Juicer, which is able to determine one's talent according to multiple intelligence theory based on data in the form of user posts about their daily activities. Users input their daily activities and opinions about the activities that he is currently undergoing. The system will analyze the data entered a negative or positive opinion. Then determine whether the data entered are musical-rhythmic, visual-spatial, verbal-linguistic, logical-mathematical, bodily-kinesthetic, interpersonal, intrapersonal, naturalistic, and / or spiritual-type using lexicon-based sentiment analysis with the Sentistrength method. After a long period of time, the system will sort the data that has been stored. After the data is classified, user intelligence types will be found based on multiple intelligence theory, as a result of this study. The result of the correlation between intelligence type data obtained through the system compared to intelligence type data obtained through the manual method is 80%, and the deviation value is 0.09.

Page 14 of 119 | Total Record : 1182

 12   13   14   15   16 

Filter by Year

2017 2024


Reset
Filter By Issues
All Issue Vol 8, No 3 (2024): Juli 2024 Vol 8, No 2 (2024): April 2024 Vol 8, No 1 (2024): Januari 2024 Vol 7, No 4 (2023): Oktober 2023 Vol 7, No 3 (2023): Juli 2023 Vol 7, No 2 (2023): April 2023 Vol 7, No 1 (2023): Januari 2023 Vol 6, No 4 (2022): Oktober 2022 Vol 6, No 3 (2022): Juli 2022 Vol 6, No 2 (2022): April 2022 Vol 6, No 1 (2022): Januari 2022 Vol 5, No 4 (2021): Oktober 2021 Vol 5, No 3 (2021): Juli 2021 Vol 5, No 2 (2021): April 2021 Vol 5, No 1 (2021): Januari 2021 Vol 4, No 4 (2020): Oktober 2020 Vol 4, No 3 (2020): Juli 2020 Vol 4, No 2 (2020): April 2020 Vol 4, No 1 (2020): Januari 2020 Vol 3, No 4 (2019): Oktober 2019 Vol 3, No 3 (2019): Juli 2019 Vol 3, No 2 (2019): April 2019 Vol 3, No 1 (2019): Januari 2019 Vol 2, No 4 (2018): Oktober 2018 Vol 2, No 3 (2018): Juli 2018 Vol 2, No 2 (2018): Apriil 2018 Vol 2, No 1 (2018): Januari 2018 Vol 1, No 3 (2017): September 2017 Vol 1, No 2 (2017): Juni 2017 Vol 1, No 1 (2017): Maret 2017 More Issue