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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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Klasifikasi Kematangan Buah Pisang Ambon Menggunakan Metode KNN dan PCA Berdasarkan Citra RGB dan HSV Setya Putra Adenugraha; Veri Arinal; Dadang Iskandar Mulyana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3287

Abstract

Banana fruit or in scientific language is called Musa Paradisiaca. One type of banana that is easy to grow and develop in the tropics of Indonesia is the Cavendish Banana or commonly known as the Ambon Banana. The quality of Ambon bananas must be maintained because Ambon bananas grown in Indonesia also supply the needs of foreign markets. The quality of bananas is very influential from the time of harvesting, the level of maturity of bananas is related to marketing reach. Basically, farmers use manual methods in determining the maturity level of Ambon bananas, so there are several factors that can make the classification results less accurate. Based on these problems, a system was made to classify the maturity level of Ambon bananas by utilizing the RGB and HSV color features using the K-Nearest Neighbor (KNN) method. Classification uses image processing by utilizing matlab software for making a classification system with 3 classes, namely raw, ripe, and overcooked. The results of this study are expected to help Ambon banana farmers in classifying the maturity level of Ambon bananas. In this study using data obtained from the place of observation. The data used in this study were 41 data which were divided into 30 training data and 11 test data. The data is classified using the KNN method by measuring the distance to the nearest neighbor with a value of K=5. From this study, the results obtained accuracy of 90.9% with the results of the classification of test data as many as 10 data received accurate classification results and 1 data received inaccurate classification results.
Implementasi Metode Weighted Product dan Pembobotan Rank Order Centroid Dalam Pemberian Penghargaan Predikat Kader Terbaik Feri Setiawan; Lusiyanti Lusiyanti; Dedi Setiawan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3375

Abstract

This study discusses the process of awarding the best cadres by utilizing a decision support system using the Weighted Product method and the criteria weighting method using the Rank Order Centroid to obtain the weighting of the criteria systematically with the case studies studied, namely the Leadership of the Commissariat of Muhammadiyah Students, Faculty of Computer Science, University of Muhammadiyah Riau. The procedure carried out in awarding the best cadres by using several alternative data samples and several criteria related to the assessment. The number of alternative data used to be tested in this study were 10 samples of alternative data and 5 assessment criteria. The criteria used are Activeness (K1), Level of Training (K2), Grade Point Average (K3), Leadership (K4), and Teamwork (K5). The results obtained after testing are A6 as the best alternative with the final value obtained of 0.3398 and declared as the best cadre. The Weighted Product method and assisted by the Rank Order Centroid weighting method are able to make decisions for awarding the best cadres to the Commissariat Leaders of the Muhammadiyah Student Association, Faculty of Computer Science, University of Muhammadiyah Riau.
Penerapan Metode Agile Scrum Pada Rancangan SisIAM4 Faza Nadhira; Moh. Iwan Wahyuddin; Ratih Titi Komala Sari
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3525

Abstract

Development of web based information systems is grown very rapidly, one of which can help the process of processing information and data, to improve performance in various fields, including in the academic. This research aims to design a web-based academic information system in schools to make it easier for Muhammadiyah 4 High School to manage student values, as well as improve students in seeing grades and schedules online. In making this website using the Hypertext Preprocessor (PHP) programming language, MySQL as a database and CodeIgniter framework, and Visual Studio Code as a medium for writing coding. The method used in making this application is Agile software development with a Scrum model and application testing using the White box testing method. With the creation of this information system is expected to help schools in managing academic data.
Ekstraksi Fitur Menggunakan Haar Wavelet Transformation Pada Klasifikasi Jenis Bakteri Air Sepyan Purnama Kristanto; Lutfi Hakim; Dianni Yusuf
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3340

Abstract

Bacteria is one of the species that live in groups and is on some media close to humans. As the media closest to humans, water has become one of the most expensive and mutating places for bacteria. Various kinds of bacteria live in raw water that comes from some sources of water that often cause various diseases for humans. Many good diseases that transmit and do not transmit are often found in water, especially in households. With the various problems that arise, there needs to be a system that can detect and determine the type of bacteria in the water. The researchers built a bacterial classification system in water to facilitate the filter and sterilization process from these problems. This system utilizes the haar wavelet method, which has a good reputation in the transformation process. The accuracy results obtained in this study are very satisfactory, with an accuracy rate of 90% in detecting the type of bacteria.
Analisis Pengaruh Dimensi Budaya Terhadap Penggunaan Aplikasi Trasnportasi Online Menggunakan UTAUT2 dan Budaya Hofstede Thofik Nugroho; Wing Wahyu Winarno; Kholid Haryono
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.v4i2.2062

Abstract

It is important for online transportation application company to know the factors that influence the use of online transportation applications. Culture is an important factor in research into the acceptance of technology use. This study uses the UTAUT2 research model and Hofstede's cultural dimensions. The main objective of this research will be to investigate that culture influences users in using online transportation applications. The measurement method uses PLS SEM. It is proven that culture influences the use of online transportation applications. It is proven that by adding the cultural dimension in the UTAUT2 model, it can better explain the behavior of using online transportation applications
Penerapan Forward Chaining dan Certainty Factor Pada Sistem Pendeteksi Penyakit Hewan Qurban Berbasis Android Nabila Tiara Nuraini; Rima Tamara Aldisa; Iskandar Fitri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3516

Abstract

Qurbani worship is a worship of the slaughter of livestock carried out on the feast of Eid al-Adha. In Indonesia the dominant livestock used for qurban worship is goats and cows, qurban animals that are allowed to be slaughtered also have conditions ranging from age and most importantly their health. This research is done so that goats and cows that will be slaughtered for qurban worship are free from existing diseases. Some of the problems in the system that will be built is the lack of understanding of the sellers of animals qurban about the diseases suffered by goats and cows from the symptoms experienced by these animals. This study used  the method of forward chaining  and  certaity factor in solving the problems that exist in goat and cow animals, to produce a conclusion in detecting diseases in these animals based on existing symptoms. The process of designing the application of disease detection expert systems in goat and cow animals uses the java programming language  and  uses   a text editor android  studio. The authors also tested the comparison of the combination method between forward chaining  and  certainty factor with the forward chaining  and  naïve bayes  methods  that received the highest percentage value results, namely in the  forward chaing  and  certainty factor  methods with a value of  9.553%.  in scab disease suffered by goat animals and a value of  9.509%in bloating disease suffered by cow animals. Getting the final result on the calculation of detection of goat disease by 91,264% with indicated suffering from  scab disease and also in cow animals by 90,432% indicated to suffer from bloating disease, both the final results of the calculation of the type of disease suffered by goats and cows respectively seen from the symptoms that have been inputted by the  user.
Penerapan Metode Time Charter Party Pada Sistem Informasi Penyewaan Alat Camping Berbasis Web Andi Hidayat; Ucuk Darusalam
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3539

Abstract

Sinar Adventure Store is a shop that provides camping equipment, this store has many customers who want to rent camping equipment such as tents, carril bags, stoves and sling bags. But the camping equipment rental transaction at this shop still uses the conventional process, so there are still many errors that occur in writing information and data reports on this camping equipment rental. This is the author's reference in designing a web-based camping equipment rental information system, with HTML, CSS, and PHP programming languages as the database. This system is designed using the waterfall method and the system follows the flow of the Time Charter Party method. In data processing, such as recording rental transaction data, it is still stored in a ledger storage media so that data security is not guaranteed because there is no more searching for camping equipment data at the Sinar Adventure Store who still has to wait a long time because they have to find one data person in the books. The purpose of creating this rental system is to overcome the problems that are currently happening at the Sinar Adventure Store store. The results of this study are to provide convenience in the processing of camping equipment data at the Sinar Adventure Store store such as admin data, data rental, ordering, checkout and to simplify the data search process in addition to having a more effective and larger storage media.
Membangun Framework Konseptual Terintegrasi Menggunakan Metode Composite Logic untuk Cloud Forensic Readiness pada Organisasi Merisa Kurniasari Fadilla; Bambang Sugiantoro; Yudi Prayudi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3427

Abstract

In the Forensic Readiness approach, incident readiness is the goal of the company or organization in dealing with incidents that may occur. Forensic Readiness can consist of actions or steps, technical and non-technical, that supposedly maximize an organization's ability to use digital evidence. A well-built Cloud Forensic Readiness Framework can help speed up and simplify decision-making regarding an incident occurring in a cloud computing environment. This creates new opportunities for collaboration in the field of digital forensics and cloud computing or cloud computing, so that solutions can be studied and researched by analyzing various literature sources of cloud computing forensic readiness framework and building an integrated cloud forensic readiness framework on an institutional scale using the composite logic method. With the completeness of the readiness framework designed, it is a kind of research that is expected to ease decision making process for organizational stakeholders to handle incident responses.
Penerapan Data Mining Dalam Pemilihan Produk Unggulan dengan Metode Algoritma K-Means Dan K-Medoids Reza Gustrianda; Dadang Iskandar Mulyana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3294

Abstract

As a business company, PT. XYZ Indonesia is committed to always make improvements to all aspects such as, in terms of determining superior products. To be able to do this, it requires a sufficient source of information to be able to analyze what products are superior or in high demand and what products are less desirable. To find out what products enter the superior product cluster, then researchers do product grouping using the clustering method. In the clustering method there are two types of cluster analysis that have interrelated algorithms, namely k-means and k-medoids. The result of research already conducted that from the value of Davies Bouldin to the k-means algorithm is -0.430 and from the value of Davies Bouldin k-medoids is -1,392 which means that the Davies Bouldin value for the k-medoids method has the smallest Davies Bouldin value so the grouping results using the k-means method are more appropriately used on the issue of superior product selection.
Penerapan Metode System Usability Scale dalam Pengujian Rancangan Mobile Apps Gamification Tari Rakyat di Indonesia Arief Rais Bahtiar; Muhamad Azrino Gustalika
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3510

Abstract

Indonesia has many dances in each region. Traditional dance and folk dance are dances that existed in Indonesia before the development of contemporary dance. As one of the local cultures in each area, dance art is included in local content at the elementary to high school level. The changing curriculum has disrupted local cultural education in the world of education some time ago. In addition to these factors, the lack of interactive learning media at least affects. The purpose of this study is to develop a learning pattern for folk dance as a local culture in Indonesia through an interactive mobile application. In addition, this research is used to help preserve and introduce the folk dance arts of each region to students in Indonesia. Gamification can be an alternative for developing folk dance learning. What usually happens is the lack of innovation in conventional learning media to attract students' interest in studying local culture, especially folk dance as a local content subject. This activity is a folk dance education about history, regional origins and dance movements. The result of this application is a folk dance game in Indonesia. There are several levels that must be passed to be able to complete this game. Each season will be taken 3 people who get the reward. The rewards that we design are based on the prizes preferred by elementary, junior high and high school students. Based on the results of the System Usability Scale evaluation, the prototype designed got a score of 86.25% and was considered to have met the usability element.

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