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 62 Documents
 1   2   3   4   5 
Search results for , issue "Vol 5, No 4 (2021): Oktober 2021" : 62 Documents clear
Implementasi Pemilihan Pimpinan Karyawan Operasioal Konveksi Pakaian Menggunakan Metode ROC (Rank Order Centroid) dan TOPSIS Jeperson Hutahaean; Neni Mulyani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3305

Abstract

The selection of employee leaders which is an important process for the company and is the most awaited thing by other employees to improve social status, salaries and many others, it is necessary to select employee leaders to become role models and examples and assist company leaders in managing and monitoring other employees for can work as expected by the leadership of the company, in the selection of company leaders it is necessary to choose a computerized process, namely making a decision support system to get the right and good results based on the system and not based on personal interests, in the decision-making process the ROC and Topsis methods are used as a step procedure that helps get a value with a high level of accuracy, the ROC method is used as a method of finding the weight value of each criterion and will continue the process of finding the highest value using the Topsis method as a ai the chosen alternative. The results obtained were 0.591835 as the highest score and the selected candidates in the selection used the ROC and TOPSIS methods
Eksperimen Penerapan Sistem Traffic Counting dengan Algoritma YOLO (You Only Look Once) V.4. Yovi Pratama; Errissya Rasywir
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3309

Abstract

Traffic counting is the activity of counting traffic (vehicles) that pass on the road in a certain period. The purpose of traffic counting is to collect traffic data, determine traffic characteristics, determine vehicle composition and measure traffic performance. With the YOLO V.4 algorithm, changes in the position, size and volume of the detected object can be carried out in several tests. Although not all the results of using this algorithm are perfect on all data, the results tend to be good. This is related to the services provided in the form of a convolutional layer on YOLO reducing downsample or reducing image dimensions by using anchor boxes, this algorithm can also increase accuracy. The YOLO V.4 algorithm utilizes an image feature scanning model using the concepts of angles and directions mathematically. From the results of experiments carried out in this study, obtained detection results that have a fairly good accuracy in the results of separating frames from video data. Irregular transformations of position, dimension, composition and direction can still be captured as the same feature. YOLO's ability in feature engineering is an acknowledgment that has been successfully proven in this research.
Perancangan dan Implementasi Sistem Pengendalian dan Monitoring Penggunaan Peralatan Elektronik Berbasis Internet of Thing (IoT) Sarmayanta Sembiring; Muhammad Ali Buchari
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3353

Abstract

A control and monitoring system for the use of IoT-based electronic equipment has been designed with automatic and manual control systems using Arduino Uno, NodeMCU ESP8266, two PIR sensors, three ACS712 current sensors, three Relay modules and two infrared transmitter modules.The automatic control system will turn off the electronic equipment automatically when the two PIR sensors do not detect any movement and the current sensor detects that the equipment is still ON. The sequence of turning off the equipment in this automatic control is to make the equipment in the ON state into standby by sending ON/OFF data through the infrared transmitter module and then cutting off the current to the equipment using the relay module. Especially for lighting equipment, the system directly cuts off the current using a relay module. In manual control, the ON/OFF control of electronic equipment is carried out based on data sent by the NodeMCU ESP8266 to the Arduino Uno whose settings are carried out in the Blynk application on the user's smartphone. The experimental results show that the controller has automatically been able to turn off the equipment in the order that the equipment conditions are ON to standby and standby equipment to be OFF, specifically for lighting equipment in ON conditions to OFF. The manual control system using the Blynk application on the smartphone can already control the equipment by pressing the button on the selected application and the equipment state monitoring system can display equipment state information on the Blynk application according to the data sent by the main controller. The equipment state detection system can detect the state of the equipment ON or OFF with an average error of 4% of 350 times the variation of the test state on equipment consisting of a TV, DVD player and 8W lamp
Sistem Pendukung Keputusan Penilaian Kinerja Mahasiswa KIP Kuliah dengan Penerapan Metode TOPSIS dan PROMETHEE Noni Apriliani Yulia Putri; Ridho Taufiq Subagio; Marsani Asfi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3268

Abstract

CIC University is one of the Private Universities (PTS) in the Computer Sector which is located in the city of Cirebon. CIC University's consistency in the field of IT (Information Technology) so that college students in it can apply IT knowledge to campus facilities. One of the systems currently not owned by CIC University is a decision support system for assessing the performance of college students receiving KIP Kuliah. Assessment of college student performance, especially for scholarship recipients at a university, is a very important form of activity to evaluate performance in improving the quality of performance of scholarship recipients, as a form of measurable responsibility as scholarship recipients both academically and non-academicly and as a form of assessing whether students is still eligible to be awarded a scholarship in the next semester or year. This study discusses the performance assessment of KIP Lecturer recipients using UML (Unified Modeling Language) as a tool in analysis and design, the PHP Hypertext Preprocessor programming language with the CodeIgniter framework, and MySQL as data storage media. Performance appraisal is calculated by a combination of the TOPSIS method and the PROMETHEE method. TOPSIS method is used to calculate the weight of each criterion, while the PROMETHEE method is used to analyze alternative ranking calculations. Testing this application is done by the Black Box method. The result of this research is the Application of Performance Assessment of College Students receiving KIP Kuliah at Catur Insan Cendekia University which aims to assist the Student Affairs Bureau in assessing the performance of college students receiving KIP Kuliah quickly
Kluster Rata-Rata Lama Sekolah (RLS) Menurut Jenis Kelamin di Provinsi Jawa Tengah dengan K-Means Ajeng Tiara Wulandari; Jati Sumarah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3279

Abstract

The average length of school (RLS) describes the level of achievement in school activities of each citizen in a given area. The higher the number of years of schooling, the higher the population's level of education, hence this indicator is critical since it can reveal the quality of a region's human resources. Furthermore, numerous studies have found that the average length of schooling has a major impact on economic growth. This indicates that when the average length of schooling rises, the number of unemployed and poor people in a given area declines, resulting in a positive and considerable impact on economic growth. The goal of the study was to use artificial intelligence to undertake an analysis in the form of a cluster mapping of the Average Length of Schooling in Regencies and Cities in Central Java (AI). This is necessary in order to gain a macro picture of the average years of schooling's progress over the last few years through regional mapping. The data was taken from the Central Java Statistics Agency (BPS) website, and it was based on the subject Average Length of School (RLS) by gender from 2017 to 2019. The k-means method, which is part of clustering data mining, was employed as the solution method. There were two types of clusters used in this study: high and low clusters. RapidMiner software is used to aid the analyzing process. Preprocessing is done before the k-means approach by taking the average value of the number of RLS based on gender from 2017 to 2019. K-means will be used to process the results of the average value obtained. According to the findings, eight provinces (23 percent) were in the high cluster (cluster 1) while 27 provinces (77 percent) were in the low cluster (cluster 0). According to the findings, RLS levels are still low in over 70% of Central Java's locations.
Pengenalan Wajah dengan Menggunakan Metode Local Binary Patterns Histograms (LBPH) Rifki Kosasih; Christian Daomara
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3171

Abstract

Rapid technological developments in the world have had a major impact on various fields, i.e. administration and data collection. One of the data collection systems that is often used is attendance. The attendance system initially only used an attendance sheet that was filled out manually, but there were shortcomings i.e. the possibility of forging signatures during attendance. Therefore, other methods are needed to overcome these problems. In this study, we propose to use facial features for attendance. The data used are 750 facial images consisting of 5 people with each person having 150 facial images with various expressions. The data is divided into two, namely 500 images as training data and 250 images as test data. The next stage is to find a facial features, we propose to use the Local Binary Patterns Histograms (LBPH) method. LBPH is a combination of the Local Binary Patterns (LBP) method with Histograms of Oriented Gradients (HOG). After that, we perform face recognition based on the features that have been obtained. Based on the research results obtained an accuracy rate of 86%
Evaluasi Pengalaman Pengguna dengan Menggunakan User Experience Questionnaire Perpustakaan Digital Riche Riche; Sophya Hadini Marpaung
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3270

Abstract

This study uses the User Experience Questionnaire (UEQ) to assess user experience in the STMIK Mikroskil digital library. In detail, research activities were carried out in several stages, namely by reinventing and determining the formulation of the problem to be solved, conducting literature studies, observing the STMIK Mikroskil library website, designing questionnaires, collecting data, and drawing conclusions. The User Experience Questionnaire (UEQ) is used to assess a system or find out the extent of the user experience in order to get a comprehensive impression of the experience of users or end users of a system. In this study it was found that the usability/user experience of the STMIK Mikroskil digital library for all available services was positive or decent
Reengineering Proses Bisnis Toko Oleh-Oleh Menggunakan Enterprise Resource Planning Odoo 13 dengan User Acceptance Test sebagai Metode Pengujian Sistem I Kadek Suabdinegara; Gusti Agung Ayu Putri; I Made Sunia Raharja
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3271

Abstract

Business process engineering is carried out on the business process of Wardani’s souvenir shop which is located at Jl. Monkey Forest, Ubud. This shop was chosen as the research use case because the shop is located in a strategic tourist location in the center of Ubud. Reengineering is focused on the Wardani Store’s business activities in the purchasing, inventory, and sales business functions, where at the time the research was conducted, all processes were still using the manual method. This method often causes problems, such as uncontrolled purchasing of goods, errors in recording purchases and sales of goods, length of calculation in transactions, and unclear information on availability of goods. Therefore, an approach is needed in developing an integrated system in the company's operational activities, and the application of Enterprise Resource Planning (ERP) can be an alternative in overcoming the problems experienced. ERP implementation is carried out by identifying ongoing business processes for purchasing, inventory, and selling goods, then making an integrated system proposal by implementing Odoo 13. System testing is carried out using the User Acceptance Test (UAT) method which is a final testing method for developing a product to validate whether the system built is in accordance with the user's needs or not. The system test results show that the Odoo ERP application is considered quite successful in helping companies in purchasing, inventory, and selling goods, so that business processes become more effective and efficient
Group Recommender System Using Hybrid Method Esa Alfitrassalam; Ade Romadhon; Z K Abdurahman Baizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3220

Abstract

In our daily activities, we make a lot of decisions either individually or in groups. The recommender systems is a solution for making decisions. One of the most common recommender systems is the recommendation for tourist destinations, where a number of tourist attractions are given as tourist attractions that are recommended to be visited by someone. There are still few recommended tourist attractions that provide recommendations for a group, while there are several tourist attractions that are more suitable if visited by several people at the same time. In this study, a recommender system for tourist attractions in Bandung-Raya Regency is proposed which is given to user groups. The recommended method used is Hybrid Collaborative Filtering and Knowledge-Based Filtering. In the process of selecting groups that are candidates to be recommended to users, Borda calculations are carried out with votes so that users can determine whether they like or dislike and match or not match the recommender generated by the system. The results of the evaluation of experiments conducted by taking surveys of users showed an average value. the average of the indicators of user satisfaction with the results of group recommender is 4.4 on the scale (1-5)
Analisis Teorema Bayes Dalam Mendiagnosa Penyakit Tanaman Pisang Zunaidi, Muhammad; Pane, Usti Fatimah Sari Sitorus; Nasyuha, Asyahri Hadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3225

Abstract

Most of Indonesia's population earns a living as farmers who mostly cultivate various types of plants, one of which is the banana plant. Banana plant (Musa Paradisiaca L) is one of the horticultural crops that can be planted intensively due to very supportive soil and climatic conditions, especially in North Sumatra. However, the productive growth of banana plants in Indonesia is getting lower, this is due to the lack of knowledge of farmers about banana plant diseases and how to overcome them, another reason is the lack of agricultural managers who provide counseling to farmers about types of banana plant diseases and their prevention and prevention. In this study, we will take advantage of the development of analysis that adopts the process and way of thinking of humans, namely Artificial Intelligence or artificial intelligence which is often called the Expert System with the Bayes Theorem algorithm that relies on probability values, so that it can provide diagnostic results that are in accordance with symptoms based on the knowledge base obtained from expertise. an expert in the field of banana plant diseases. The research will provide solutions for handling or preventing disease based on the rules that have been obtained from the expertise of an expert in the field of banana plants. So the analysis of the Bayes theorem algorithm is feasible to implement and can help banana farming communities in preventing disease and can help increase the productivity of banana plants

Page 1 of 7 | Total Record : 62

 1   2   3   4   5 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue 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