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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 60 Documents
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Search results for , issue "Vol 6, No 3 (2022): Juli 2022" : 60 Documents clear
Analisis Keamanan Sistem Informasi Akademik Menggunakan Open Web Application Security Project Framework Muh. Amirul Mu'min; Abdul Fadlil; Imam Riadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4099

Abstract

Information system security is one of the important things in the development of technology to protect comprehensive and structured data or information. The Academic Information System (SIA) has a service to receive requests in the form of HTTP or HTTPS protocol website pages from clients called browsers. Intruders can hack websites without the owner's knowledge. This research was conducted to find the vulnerability of SIA STIKES Guna Bangsa Yogyakarta. The framework used is the Open Web Application Security Project (OWASP) which is usually used to evaluate systems or applications. The tools used are WhoIs, SSL Scan, Nmap, and OWASP Zap. The results obtained were finding 12 vulnerabilities with four vulnerabilities at the medium level, namely Absence of Anti-CSRF Tokens, Cross-Domain Misconfiguration, Missing Anti-clickjacking Header, and Vulnerable JS Library, six at the low level namely Cookie Without Secure Flag, Cookie without SameSite Attribute, Cross-Domain JavaScript Source File Inclusion, Server Leaks Information via "X-Powered-By" HTTP Response Header Field(s), Timestamp Disclosure – Unix,  and X-Content-Type-Options Header Missing, and two at the informational level namely Content-Type Header Missing and Information Disclosure - Suspicious Comments. 
Sistem Penilaian Inovasi Karyawan Digital Amoeba Menggunakan Desain Arsitektur Microservice Pada Aplikasi Mobile Fitran Dwi Pramakrisna; Faisal Dharma Adhinata; Nia Annisa Ferani Tanjung
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4187

Abstract

Digital Amoeba employees want an application system that can be integrated directly into the Ideabox application to be assessed the innoavtions directly. Therefore, innovations do not need to be assessed using third parties such as Google Sheets SurveyMonkey. Therefore, an application system called Scoring was created. This application system is designed using a microservice architecture design, where each service has its own database. The services used in the Scoring application system are User Service, Ideas Service, Event Service, and Scoring Service. The application system is built using the PHP programming language and the CodeIgniter version 4 framework. This system is implemented both on web and mobile platform
Analisis Sentiment Pelanggan Terhadap Penilaian Produk Pada Toko Online Shop Amreta Menggunakan Metode Naïve Bayes Classification Alisia Silver Stone; Fathoni Fathoni
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4436

Abstract

Sentiment analysis or opinion mining is an analysis that aims to see the sentiment of people or groups regarding certain entities. The sentiments expressed by society can be in positive, negative and neutral form. One media that can be given an opinion by the public is in the e-commerce application,  namely the shopee application, shopee has a comment or assessment feature on the product that has been purchased. Toko which was used as a sample of researchersis an amreta online shop store  , based on the results of the identification of the problem, it was found that the fact was that many comments did not match the stars given so it can be said that the rating cannot represent that the store's performance is good or not. Therefore, to increase the profit of shop work, the amreta still needs to evaluate the store. In conducting an evaluation, the store needs to classify positive, negative or neutral comments. Analysis of customer sentiment towards product assessments in amreta online shop stores using the naive bayes classification method. The use of test data in this study was obtained from the sentiment of amreta online shop consumers as much as 2014 data,then the data was processed through  the data cleaning process  resulting in net data of 1899 data. Furthermore, the data preprocessing process is divided into 3 stages, namely Tokenize Data, Transform case and Stopword removal. After that, the analysis of data for the automatic labeling stage using Text Vectorize from the process obtained data division into 3 data groups of 71% or 1343 positive data, 3% or 52 negative data and 26% or 504 neutral data.  furthermore, it is processed using rapidminer tools while for operators in the form of algorithms using the Sentiment Naïve Bayes Classification model  through automatic calculations.  The results of the study can be concluded that the test data obtained have an accuracy level of 97.16% using the Naive Bayes Classification model.
Algoritma Naïve Bayes Classifier Untuk Analisis Sentiment Pengguna Twitter Terhadap Provider By.u Ike Verawati; Bagas Sonas Audit
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4132

Abstract

The development of the internet which has increased in recent years has made it easy for people to give their opinion on a product. By.u, as a new internet service provider, has made many new users share their opinions with each other. Many by.u users give their opinions through social media, especially twitter. From these problems, research was conducted using sentiment analysis. The research stages consisted of collecting data from social media Twitter, preprocessing data, weighting TF-IDF data and classifying using the Naïve Bayes Classifier algorithm. To get the best evaluation results, a comparison of training data and test data was carried out. Data classification is done automatically after cleaning the data in the preprocessing process. There are 2 labels for the data resulting from the automatic classification, namely positive and negative. The dataset after classification will be used as training data and test data. The datasets to be tested are divided into 3 numbers, namely the number of 1000 datasets, 2000 datasets, and 3000 datasets. The test was carried out 3 times for each dataset. The accuracy test is carried out using a confusion matrix. The test results with the highest accuracy were obtained by the nave Bayes classifier with a multinomial model of 85%.
Pengembangan Idle Game “Havok Runner” Berbasis Android Menggunakan Metode Agile Game Development Achmad Baroqah Pohan; Ibnu Alfarobi; Sofian Wira Hadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.3994

Abstract

Video games are one of the industries that are growing very rapidly every year. And in a video game industry, there are many types/genres of games that have been widely circulated in the community. One of them is a type of game where players interact a little while the game is running, namely idle games. Even though gaming is one of the industries that is growing very rapidly, based on the report of Diana Paskarina (COO of game loka nutmeg) the contribution of the creative game industry is still very small to state revenue. However, regardless of the existing constraints, there are opportunities/opportunities that can be utilized to improve the country's economy through idle games. This refers to the results of the Sensor Tower survey which shows that the income of the idle game genre in Q3 2016 to Q2 2018 has increased very rapidly. Therefore, researchers try to make a positive contribution by developing game applications with the idle game genre using the Agile Game Development method.
Twitter Sentiment Analysis on Online Transportation in Indonesia Using Ensemble Stacking Yahya Setiawan; Jondri Jondri; Widi Astuti
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4359

Abstract

Online transportation is a transportation innovation that has emerged along with the development of online-based applications that provide many features and conveniences. In its development, many users wrote their responses to the application on social media such as twitter. Many opinions and responses are directly conveyed by users of online transportation modes to their official accounts. The responses given by these users are very large and can be used as sentiment analysis on online transportation. However, the analysis process cannot be done manually. Therefore, we need a system that can help analyze user responses on Twitter automatically. In this study, a sentiment analysis system was built for online transportation in Indonesia using the ensemble stacking algorithm, which will simplify and increase the accuracy of the sentiment analysis. Ensemble stacking is a solution for advanced machine learning methods that can improve the performance of the base classifier. The system built on ensemble stacking uses three base classifiers, namely SVM kernel RBF, SVM linear kernel, and logistic regression. The best accuracy result on the gojek dataset is 88%, and the best F1 score is 87%. Ensemble Stacking which is applied to the research that the author conducted on online transportation sentiment analysis on twitter, obtained better accuracy than the base classifier used.
Penerapan Metode Metode Multy Attribute Utility Theory (MAUT) dalam Pemilihan Asisten Laboratorium Komputer Rima Tamara Aldisa; Sanwani Sanwani; Deby Monalisa Simanjuntak; Sarpita Laia; Mesran Mesran
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4171

Abstract

Computer Laboratory Assistant is a person who is competent in the field of computers who will assist lecturers in teaching while in the computer laboratory. The Faculty of Computer Science, Budi Darma University, Medan will conduct a selection of computer laboratory assistants for the 2022/2023 academic year, but the lecturers have difficulties in finding which students are eligible to become computer laboratory assistants. This research is based on these reasons, so the authors decided to use the Multi Attribute Utility Theory (MAUT) method to help make decisions to choose which students deserve to be computer laboratory assistants with the criteria of GPA, test scores, personality, teaching ability and experience with a number of alternatives 5 (Five) students. The use of the MAUT method is expected to determine the criteria for computer laboratory assistants, because the MAUT method will perform a ranking process based on attributes with different weights so that the results are more optimal, then a ranking process will be carried out which will determine the optimal alternative as well. As for 1 (one) alternative that deserves to be a computer laboratory assistant is Jesika Sirait with a result of 0.4085.
Rancang Bangun Sistem Monitoring Pengolahan Limbah Cair Tahu Di Kabupaten Purbalingga Berbasis Internet of Things Garichwan Fathurrahman Arafat; Aditya Wijayanto; Novian Adi Prasetyo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.3863

Abstract

In the production of tofu, it usually produces liquid waste which can cause environmental pollution when no processing is carried out which will have an impact on local residents. Disposal of liquid waste from the production of tofu without going through processing will result in air pollution in the form of a pungent odor and too low oxygen and pollution in the water which will become dirty. Liquid waste generated from the production of tofu contains organic substances that cause microbial growth in the water which results in decreased oxygen levels in the water and the water becomes cloudy. Based on these problems, a monitoring system for turbidity and acid-base levels of the tofu industrial wastewater in Purbalingga Regency based on the Internet of Things was designed by utilizing the NodeMCU ESP8266 which is connected to a Turbidity sensor, pH sensor, DS18B20 sensor, LCD 16x2 I2C, relay, and a water pump that will connected to the Telegram Bot for monitoring and control. Telegram bots can work when Telegram and the network are turned on and connected to the internet. From the results of testing the system produces tools that are in accordance with what the author expects. All sensors and relays can work well on the waste onjek, the water pump also works well so that it can carry out waste disposal when the turbidity level has reached less than 35 which is carried out after the decomposition process is complete. The system can also send notifications to the Telegram Bot when the pump is on and when commands are requested via the gadget, resulting in the conclusion that the system works in real time and must be connected to the internet network.
Penerapan Firebase Realtime Database Pada Aplikasi Media Informasi dan Pendaftaran Training IT Berbasis Android Angga Arindra Shonta; Laily Nur Hamidah; Muhamad Hasan; Melany Mustika Dewi; Yuli Astuti; Irma Rofni Wulandari
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4040

Abstract

Jogja IT Training Center (JITC) is a business entity that provides training in the field of information technology. JITC provides various kinds of related training. As a business entity engaged in the service sector, the dissemination of information is very important. Currently, JITC uses social media Facebook and Instagram to convey information to the public, but currently, it is not managed properly due to limited resources so the delivery of information and student registration is hampered. The student registration method is done manually and has to come to the office, so the number of students has decreased and resulting in a decrease in income. The conventional registrar data collection has many shortcomings, namely the data is not well documented, resulting in data loss and the search process takes a lot of time. Based on the existing problems, an android-based information and registration media application was built, this mobile application added the Firebase Realtime Database as a data storage platform for information and registrant data so that the training data can be accessed online and in real-time which can be integrated into one service. Firebase Realtime Database has many features and is accessed for free and has a fairly large data storage limit. The result of this research is an android-based application for information providers and registration services for new students.
Penerapan Metode Dempster Shafer Untuk Diagnosa Penyakit Batu Karang Vina Winda Sari; Muhammad Zunaidi; Asyahri Hadi Nasyuha; Marsono Marsono
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4140

Abstract

Rocks or urinary tract stones are small and hard deposits that form in the kidneys, urinary tract and often cause pain when urinating, due to lack of public knowledge about the problem of coral disease, and to find out about this situation, people usually do an examination at the home. Sick or Doctor. However, not everyone can do this, this can be due to insufficient economic factors or long distances to visit the doctor, there are also weaknesses in the limited working hours of the doctor's practice. Therefore, innovations and solutions are needed in these conditions, namely by utilizing computer technology to build an expert system that has the ability as a doctor in making diagnoses. This study aims to create an expert system analysis with the Dempster Shafer method that can help doctors and physician assistants, or the general public in diagnosing coral stone disease. The results of this study indicate that with the analysis of the Dempster Shafer method, more optimal and accurate diagnostic results related to coral disease are available to the general public and can assist in the examination of coral disease.

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