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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 1,182 Documents
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Analisis User Interfaces Pada Website Kampiun ITTP Dengan Metode Heuristik dan System Usability Scale (SUS)
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3802

Abstract

Kampiun Digital Learning is a website-based Massive Open Online Course (MOOC) owned by the Telkom Purwokerto Institute of Technology (ITTP), which aims to improve the quality of free non-formal education. Unfortunately, since its initial release until now there has never been an analysis of the user interface itself. Even though there are several problems related to the user interface, such as problems with navigation (search filters), notifications, registration instructions, and basic website guidelines. Based on these problems, it is necessary to analyze the user interfaces on the Kampiun website to see how the sustainability of Kampiun is based on the perspectives of experts and users, the combination of Heuristics and System Usability Scale (SUS) methods in this study was carried out because in their functions they have different but complementary, heuristic focuses. has the perspective of the experts, while SUS has the perspective of the user. This study uses 10 heuristic aspects and 10 SUS questionnaire questions. The purpose of this research is to be able to produce recommendations for improvement from both existing perspectives and identify aspects that need improvement, as well as being useful in helping to find problematic heuristic aspects that must be addressed. The SUS score from the Kampiun website after the calculation is done is 58.4. The results of this study are recommendations on aspects that need to be improved in order to provide a significant increase in the SUS score, several recommendations for improvements that need to be made include clarity of information, use of images, appropriate colors and grammar, consistency of writing, standard writing standards, error message, there is an online guide and a help button.
KPK and FPB Number Value Detection System using DAKOTA based on Internet of Things for Indonesian Fourth Grade Elementary School Students
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3757

Abstract

Dakon Mathematics (Dakota) is a visual media teaching aid for elementary school mathematics (SD) grade IV, which is used to determine the value of the Least Common Multiple (KPK) and the Greatest Common Factor (FPB). Several researchers have built the Dakota props and have tested them. The results state that the Dakota teaching aids can improve students' understanding. In previous studies, Dakota was operated manually without involving information technology. The problem with the manual Dakota tool is in its flexibility and duration in providing accurate feedback to students. Internet of Things (IoT) technology aims to solve flexibility problems and provide real-time and precise feedback to students. The objectives of the research are threefold, namely: (1) Identifying the need for integration of Dakota tools with IoT, (2) Building Dakota systems and tools integrated with IoT, (3) Evaluation of the performance of IoT-based Dakota tools. The first stage carried out is problem identification. It has been carried out to identify development requirements for integrating Dakota tools with IoT at this stage. The results of the system development needs that have been built have been designed to design the system architecture, followed by designing system functionality, designing hardware for IoT, and designing block diagrams on the system that has been built. Research has succeeded in implementing the IoT-based Dakota system. The second stage is that all tool design and implementation activities have been carried out. The third stage evaluates system implementation results based on functionality, feedback accuracy, and delayed response time. All functionality has worked 100% according to the system design that was built, the feedback accuracy according to the system is 100%, and the delay (between the sensor and the microcontroller) for 100 questions is 1 second, for the delay (between the microcontroller and the IoT platform) is 5 seconds.
Analysis and Design of a Route Recommendation System and Bicycle Rental Fees at Tourist Destinations with Genetic Algorithms Danu Fawwaz Gimnastian; Rahmat Yasirandi; Dita Oktaria
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3749

Abstract

The tourism sector is one of the country's most significant sources of income, especially in Indonesia. This is inseparable from many visitors or foreign tourists who come to Indonesia. Bandung is a tourist destination that is famous for its natural beauty and traditional culture, one example is in Desa Alamendah which has several tourist destinations, namely agro-tourism, nature tourism, and cultural tourism. However, access that can be passed from every tourist spot in Desa Alamendah can only be given on foot or by bicycle. Responding to this matter, bicycle facilities as a means of rotation are needed to access tourist attractions in Desa Alamendah. Based on these problems, this study aims to create a recommendation system for tourist attractions and bicycle rentals using an application in Desa Alamendah, Bandung. Using the Genetic Algorithm, an algorithm that can solve multi-objective problems can be applied to a tourist spot recommendation system in Desa Alamendah. In this system, the Genetic Algorithm is also used to determine fares based on the total distance traveled, so that bicycle rentals are more efficient. The study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms, so that bicycle rentals are more efficient. This is study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms. So that bicycle rentals are more efficient. The study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms. Based on the results of tests that have been carried out in the process of forming tourist attractions recommendations with a Genetic Algorithm that using mutation probability 1.0 and Crossover Probability 0.6, can produce a Mobile Application with a Genetic Algorithm as a tourist spot recommendation system in Desa Alamendah. In addition, it also can provide recommendations, namely displaying tourist points, route using Google Maps. The rental fee is based on the total distance traveled.
Analisa Ketepatan Jumlah Produksi Crude Palm Oil (CPO) dengan Fuzzy Inference System
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3933

Abstract

Crude Palm Oil (CPO) is crude palm oil. This product is obtained from the extraction or compression process of the fruit flesh (mesocarp) of oil palm generally from the Elaeis guineensis species and has not been purified. The production of palm oil (CPO) at the right time and in the right amount is something that palm oil mill companies want. However, in determining the amount of CPO production in the future, it is not easy, especially when it is still using manual calculations so that it will experience difficulties in managing production figures. This study aims to help the factory determine the right number of numbers in producing CPO. The data processed were 12 data which were analyzed using the Mamdani Fuzzy logic method. This method will process input data in the form of order and stock data. Fuzzy logic is an effective solution to predict the instability of CPO production. The application of this fuzzy logic can reduce losses due to variance trends in the production and sales of CPO PT. Sawita. From the results of testing the 2021 data for 12 data, the percentage of similarity between manual data and system testing is 90% so that the results are acceptable.
Sistem Pendukung Keputusan Penentuan Pelaku Pariwisata Terbaik dimasa Pandemi Covid-19 Menerapkan Metode OCRA dengan Pembobotan ROC
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.4000

Abstract

The Covid-19 pandemic which has an impact on people's lives and tourism management, which results in a decrease in public interest in traveling due to the Covid-19 pandemic which requires all people to comply with the regulations set by the government such as the regulations set, namely keeping a distance from crowds and reducing mobility. . Which is where this regulation can hinder activities in traveling because it is certain that traveling will experience close distances, crowding and leaving the house, then this is the cause of business actors in the tourism sector experiencing a decrease in income. So this study was made to answer the problem of determining the best tourism actors during the COVID-19 pandemic by counting data from 7 alternatives and 7 criteria where the criteria that have been set include the number of visitors / week, the application of the Covid-19 health protocol, time restrictions on visits, the use of vaccine bets. for staff, facilities and infrastructure, cleanliness and sanctions for the covid group, these criteria are calculated using the Rank Order Centroid (ROC) method, where this method can be used to generate a weight of importance for each of the predetermined criteria and the Operational Competiticness Rating method. Analysis which is included in one of the decision support system methods that can produce precise and accurate final preference values. So in the study that was determined as the best tourism practitioner during the COVID-19 pandemic, alternative A3 was the Sidebuk Debuk Berastagi Baths with a final preference value of 1,497 as the best alternative
Implementasi Metode Kriptografi dengan Menggunakan Algoritma RC4 dan Steganografi Least Significant Bit Dalam Mengamankan Data Berbasis Android
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3902

Abstract

Security is a protection or protecting something important from something unwanted or other things that are theft of data security techniques, there are several ways to provide protection, one of which is by inserting something data that you want to protect into other media, message security. secret by inserting a message into an image file or better known as steganography is a development of a cryptography, where cryptography itself is a data security technique that contains elements of data management or formulation before it becomes new data and the new data can only be read or opened. by a certain person who can know the pattern of managing the data. The security and confidentiality of a message is very important and must be maintained, the problem of data confidentiality in a company or institution is a major problem where a lot of data that is confidential is open or widespread, this is very detrimental to the company, in addition to data confidentiality The other factor is that data confidentiality is a continued asset for the company to continue to managers in other divisions which must be maintained and used by someone appointed. From these problems, a cryptographic method is needed where the algorithm used is RC4 and steganography is used using Least Significant Bit (LSB) as the method. The advantage of RC4 is that the data in the management of making cryptography is more structured and has a non-static pattern in which the creation of confidential data can be made quickly and safely, while the Least Significant Bit (LSB) method is a method of inserting binary data into an image that has a color image and in it can accommodate 6 bits for the message. The purpose of this research is to create a cryptographic application system that combines the Least Significant Bit (LSB) technique to secure an android-based data
Implementasi Deep Learning Dalam Pendeteksian Kerumunan Yang Berpotensi Melanggar Protokol Kesehatan Covid-19 Emil Naf'an; Fajrul Islami; Gushelmi Gushelmi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3484

Abstract

This study aims to propose a system that is able to detect crowds that have the potential to violate the Covid-19 health protocol. In this case the camera is used to capture objects in the form of images (image). Furthermore, the obtained images are processed using Deep Learning. In this case, the Convolutional Neural Network (CNN) is used. The criteria used are the classification of the number of people in the picture and the distance between each person in the picture. The distance allowed between each person is 1 meter. If there are more than 5 people in the image that have a distance between each of them less than 1 meter, then this is classified as a crowd that has the potential to violate the Covid-19 health protocol. In this study, 2 classifications were used, namely crowd and non-crowded. From the test results obtained the average value of accuracy, precision, and recall are 91.71, 91.25, and 92.65, respectively.
Penerapan JST Backpropagation untuk Prediksi Siswa Penerima Bantuan Supriyanto Supriyanto; Sunardi Sunardi; Imam Riadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3870

Abstract

The role of education is to educate students and build quality human resources. School Operational Assistance (BOS) from the government is used to relieve students, not free schools but free students from school fees and extracurriculars. BOS can be used to provide scholarships to underprivileged students. Students are entitled to a scholarship if they meet three conditions, namely not having a Smart Indonesia Card (KIP), not having a Prosperous Family Card (KKS), and parental income of less than one million rupiah per month. The determination of BOS scholarship recipients is based on an agreement and joint decision by the management team, the teacher council, and the school committee. The process of determining students as scholarship recipients often encounters obstacles because it is done manually. This study applies backpropagation ANN to determine students who are eligible for BOS scholarships. The system is built based on the web using bootstrap as a framework, Javascript, and PHP. The training process uses a sample of 78 students with input architecture 4, hidden 6, output 1, learning rate 0.7, momentum 0.9, SSE 0.1, output 1, and a maximum of 10,000 iterations, an error of 0.03 is obtained. Testing with 21 student data obtained an error of 0.414923 and the accuracy of the test was 93.67%. The test results using the cause-effect graph technique can display the training process, graphs, error results, weight values and testing time with 93.67% success.
Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Karyawan yang di Non-Aktifkan di Masa Pandemi Juanda Hakim Lubis; Shinta Esabella; Mesran Mesran; Desyanti Desyanti; Deby Monalisa Simanjuntak
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3909

Abstract

Coronavirus Disease 2019 (Covid-19) was first discovered in China, spread to various countries including Indonesia in March 2020. Until 2021 Covid-19 has not disappeared. This of course has an impact that can harm the country and society. Therefore, the government made a policy of Large-Scale Social Restrictions (PSBB) with the aim of breaking the chain of the spread of Covid-19. One of the impacts felt by the community with its presence is the deactivation of employees carried out by several companies to workers on the grounds that they do not have the money to pay the workers. PT. XYZ has difficulty choosing which employees to deactivate. 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 employees who deserve to be deactivated with job prospects, age, length of work per year, education, dependents with an alternative number of 10 (Ten) ) employees. The use of the MAUT method is expected to determine the criteria for employees who deserve to be deactivated, 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. The 5 (five) alternatives that deserve to be deactivated are A2 with a result of 0,9303, A8 with a result of 0,5561, A4 with a result of 0,533, A9 with a result of 0,4978, and A1 with a result of 0,4867 is 5 a viable alternative to deactivate during the pandemic
Implementasi Data Mining dalam Memprediksi Stok Herbal menggunakan Algoritma Apriori
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3937

Abstract

Nafii Store is one of the stores engaged in selling herbal products. With the large number of public requests for herbal products during the COVID-19 pandemic, stock availability is needed to increase sales transactions for these products. To avoid the limited supply of herbs, an information system is needed that can help store leaders to find out what kind of products should be increased in stock according to customer demand. The appropriate application to overcome these problems is the development of the concept of data mining. Based on the Nafii Store herbal sales data sample, which amounted to 24 transactions, this study will use a minimum support = 16% and a minimum confidence = 70%. The results of the determination of the Association Rules and testing with the Tanagra application that the pattern of herbal purchases are: If you buy Baarik Forest Honey 800 grams then buy Baarik Forest Honey 470 grams 80%, If you buy Black Seed with Ajwa Kurma stamps then buy Darusyifa Black Bitter Honey 83.3%, If buy Darusyifa Bitter Black Honey then buy Black Seed with Ajwa Dates stamped 83.3%. The results of this study can be used by the store management to make decisions on the availability of herbal products at the Nafii Store.

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