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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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Aspect-Based Sentiment Analysis on Twitter Using Bidirectional Long Short-Term Memory Rizki Annas Sholehat; Erwin Budi Setiawan; Yuliant Sibaroni
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5636

Abstract

Twitter as one of the social media with the most users in the world, is often used as a medium for sharing opinions that can be positive or negative. Movie reviews containing many complex explanations and judgments will be challenging to classify. Therefore a sentiment analysis process based on aspects is needed to analyze the polarity of film review opinions based on predetermined aspects. This research aims to analyze the polarity of film review opinions based on aspects using the Bidirectional Long Short-Term Memory method and GloVe feature extraction. This study uses plot, acting, and director aspects with a total dataset of 17.247 data. Bidirectional Long Short-Term Memory is proven to produce relevant and accurate results for sentiment analysis with the greatest accuracy of 56,29% in the plot aspect, 87,07% in the acting aspect, and 85,55% in the director aspect. GloVe feature extraction is proven to increase the performance value of this research by up to 13,57% in the plot aspect, 4,16% in the acting aspect, and 10,48% in the director aspect.
Penerapan Metode EDAS Dalam Pemilihan Wirausaha Muda Terbaik dengan Pembobotan ROC Salmon Salmon; Bartolomius Harpad; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6066

Abstract

An entrepreneur is a person or actor who has created a new business by taking on most of the risks that will occur and enjoying most of the rewards. Entrepreneurship aims to create or create a job field so that it can help another person's work and to train a job so as to create other people's welfare. A young entrepreneur is someone who is skilled in taking advantage of an opportunity to develop his business in order to improve life in a good direction. Young entrepreneurs should have criteria in running an entrepreneur such as: optimistic, innovative, creative and leadership. So the calculations from the research above use the Evaluation Based On Distance From Average Solution or EDAS method of weighting Rank Order Centroid (ROC) there are 10 alternatives and 4 criteria so that a higher decision value can be produced by Saiful (A1) first rank with value 1.
Data Mining Klasifikasi Breast Cancer Menerapkan Algoritma Gradient Boosted Trees Kraugusteeliana Kraugusteeliana; Saludin Muis; Fifto Nugroho; Abdul Karim; Yessica Siagian
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6095

Abstract

Cancer is a deadly disease that is often experienced suddenly. Cancer is suffered not only among adults and the elderly, but even small children who are just born can also suffer from cancer. There are many types of cancer that have almost the same symptoms but different types and there are also levels of seriousness (danger) of these cancers, ranging from common cancers to malignant cancers that have significant changes to the body. There are many types of cancer, one of which is breast cancer, which is more common in women. This type of cancer often occurs in adult women and the elderly. In this study, to facilitate the diagnosis of breast cancer, a classification method was applied. By making an early diagnosis can reduce the mortality rate, previous diagnosis is done by utilizing image media (PET scan and CT scan) which takes a long time so it is considered less efficient. The classification algorithm used is gradient boosted trees. The test was carried out using the rapidminer application as a tester to determine the accuracy of the algorithm and also the AUC size obtained using information gain. The final result after applying the gradient boosted method produces an accuracy rate of 58.52%, this is considered less effective to use so this algorithm is not suitable to be used as a prediction of breast cancer. Precision of 64.25% and recall of only 69.44%.
Studi Komparasi Metode Analisis Sentimen Naïve Bayes, SVM, dan Logistic Regression Pada Piala Dunia 2022 Muhamad Zaki Anbari; Bambang Sugiantoro
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5383

Abstract

The world cup is the most popular sporting event in the world. The 2022 World Cup will be held for the first time in the Middle East, in the country of Qatar to be precise. Its implementation was colored by various controversies ranging from human rights issues, LGBT+ issues, issues of alcoholic beverages, and so on which were so busy in the mainstream media. Various sentiments and opinions have emerged on social media regarding the implementation of the world cup, some have positive opinions and some have negative ones. Sentiment analysis was carried out to find out the main opinions that are developing in society regarding the 2022 world cup, the results can then be used as input and consideration for policy makers. This study uses the snscrape library running on the Python programming language to collect tweets related to the 2022 World Cup on the Twitter social media platform on the first day of the World Cup. The collected data then enters the pre-processing, splitting, TF-IDF stage, before it is ready to be used for modeling. The method used in this research is Bernouli Naïve Bayes, Support Vector Machine, and Logistic Regression. The evaluation results show that the Bernouli Naïve Bayes method produces a precision parameter value of 71%, a recall parameter of 99%, and an accuracy of 76%. While the Support Vector Classifier method produces precision parameter values of 94%, 93% recall parameters, and 92% accuracy. The Logistic Regression method produces a precision parameter value of 93%, a recall parameter of 93%, and an accuracy of 92%.
Pemanfaatan Metode Preference Selection Index Untuk Penilaian Dosen Terbaik Yang Diambil Dari Pengisian Kuesioner Putri Aisyiyah Rakhma Devi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5923

Abstract

Muhammadiyah University conducts evaluations of the performance of the best lecturers using norms requiring students to fill out online surveys. But still using ordinary calculations and the occurrence of these calculations is not effective. Student assessment of lecturer teaching performance is the most frequent evaluation used in large learning to measure how well the course is being taught. The research phase begins with case identification, followed by data collection in the form of literature studies, surveys, and interviews. After data collection is complete, analysis is carried out using the PSI method to aid in calculations. Reports are then made according to the research results obtained. The criteria that were tried to evaluate the best Muhammadiyah University lecturers based on the assessment of the results of the questionnaire filled in by students were 4, namely Personality Competence, Pedagogic Competence, Professional Competence, and Social Competence. Based on the mechanism of the Preference Selection Index procedure to provide more efficient decisions, the implementation of this procedure is very simple and very easy to understand because each step helps in making decisions. The final result obtained from the PSI mechanism is 11.747.
Penerapan Metode Multi-Attribute Utility Theory (MAUT) pada Pemilihan Broadcasting Terbaik Karya Suhada; Saludin Saludin; Abdurrahman Sadikin; Indah Kusuma Dewi; Fifto Nugroho
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5937

Abstract

In an increasingly sophisticated era and increasingly modern life, entertaining content makes Broadcasting a promising job field. This resulted in many people being interested in broadcasting. Broadcasting is a job related to broadcasting. All parties who participate in broadcasting, both cameramen, presenters, content creators, writer creators and so on. Broadcasting is usually useful for those who want to upload videos to YouTube, Tiktok, Instagram and so on. Broadcasting selection is done manually, it will take a long time and a lot of effort. Therefore a decision support system is needed in order to assist interested parties in choosing the best Broadcasting. In using a decision support system using this ranking method, the method used is the Multi-Attribute Utility Theory (MAUT) method. Based on the calculation results from the MAUT method, a result of 0.6731 is obtained with the alternative A7 On behalf of Bintang Simanjuntak as the best alternative that deserves to be accepted as Broadcasting.
Sistem Pendukung Keputusan Dalam Penentuan Wisata Alam Terbaik Menerapkan Metode Operational Competitiveness Rating Analysis Khailizah Khailizah; Budianto Bangun; Elysa Rohayani Hasibuan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6055

Abstract

Tourism is an activity on vacation or traveling with the aim of enjoying a new atmosphere and visiting tourist attractions such as mountains, beaches, parks and others. Nature tourism is a form of tourism that involves nature as the main object or place, which takes advantage of the beauty and uniqueness of nature such as national parks, forests, mountains, beaches, lakes, rivers, and so on. In selecting nature tourism, ecological aspects must be considered to maintain environmental balance and conserve biodiversity. Social and cultural aspects must also be considered to ensure that the development of natural tourism does not harm the local community, does not damage cultural heritage and traditions and mistakes often occur in determining good nature tourism. In determining natural tourism there are various criteria, namely: Natural beauty, Cost, Atmosphere, Cleanliness and Sustainability and Facilities. From the test results obtained the best alternative with a value of 0.32125.
COVID-19 Misinformation Detection in Indonesian Tweets using BERT Fahmi Adi Nugraha; Dhomas Hatta Fudholi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5668

Abstract

The COVID-19 pandemic has seen a marked increase in the spread of misinformation throughout various media channels, most notably social media. This is particularly true of Indonesia where a combination of middling digital literacy and the slow speed of fact-checking contributes to the continued spread of misinformation. Many of the solutions proposed by other researchers to address this problem do not use transformers despite the existence of Indonesian language BERT models. Thus, in order to both provide a potential solution to the problem of misinformation as well as a baseline for future research we propose an IndoBERT-based model for detecting misinformation in Indonesian language Tweets. For model training, we use the "small" version of the MuMiN dataset which is a comprehensive multi-lingual dataset containing fact checked Tweets. The authors of MuMiN provide a baseline LaBSE model which achieves a macro average F1-score of 54.5% when trained on the MuMiN "small" dataset. We train and evaluate our proposed model on this dataset in order to compare it to the LaBSE model. We also train and evaluate our model on a subset of the dataset containing only Tweets related to COVID-19 that we first translate into Indonesian. Our model achieves a best macro average F1-score of 59.5% on the MuMiN dataset and 79.04% on the subset.
Sistem Pakar Dalam Mendiagnosis Penyakit Leishmaniasis Menerapkan Metode Case-Based Reasoning (CBR) Asyahri Hadi Nasyuha; Yohanni Syahra; Moch Iswan Perangin-Angin; Dedi Rahman Habibie; Aloysius Agus Subagyo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6057

Abstract

Leishmaniasis caused by protozoa of the genus Leishmania, is one of the neglected zoonoses. Sand flies (mosquitoes) of the genus Phlebotomus transmit Leishmaniasis. Leishmaniasis has attacked 98 countries and is widespread in tropical, subtropical and Mediterranean regions. Because it primarily affects endemic areas in developing countries, which often have dense populations, malnutrition, poor sanitation, and a lack of human resources for disease control, prevention, and treatment, leishmaniasis is considered a neglected tropical disease. Leishmaniasis is one of the neglected tropical diseases, it is based on the low level of public awareness and scarcity of funds for research to develop effective disease control methods. Leishmaniasis is a difficult condition to treat because the general public is not well aware of it. Based on these problems, an expert system for the diagnosis of leishmaniasis was studied. An expert system is a program that can simulate the thought process of a computer expert and solve problems that are usually handled by experts. Knowledge stored in expert systems is often obtained from human subject matter experts. By using the help of expert systems and calculations carried out using the Case-Based Reasoning (CBR) approach, this study aims to facilitate the diagnosis of Leishmaniasis based on the patient's perceived input. Approach (CBR) can facilitate diagnosis then produce more precise diagnostic results. The test results with the Case-Based Reasoning approach found that the type of disease Cutaneous Leishmaniasis had the highest similarity value with a similarity value of 73%.
Penerapan Sistem Pendukung Keputusan dalam Penerimaan Pengajar Desain Grafis Menerapkan Metode Preference Selection Index (PSI) Ben Rahman; Irene Hasian; Nofri Yudi Arifin; Jeperson Hutahaean; Rachmad Andri Atmoko
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6099

Abstract

Graphic design teacher is one of the teachers who is really needed in various schools or universities, because graphic design is really needed to provide knowledge that can be used to get jobs according to abilities. However, in accepting graphic design instructors, they must really master the field of design and have a lot of experience in teaching that field. In this research, several criteria are needed including Education, Experience, Creative, Innovative, and Communicative. So with that the criterion data can support this research in solving problems and getting accurate and detailed results. And this research really needs a supporting system to solve this research. The system is a Decision Support System (DSS) and the method used to produce an appropriate ranking, this method is the Preference Selection Index (PSI). So the application of this method can produce the highest rank that will be accepted as a graphic design teacher on behalf of Putra Andiyono with a total score of 1.0331.

Page 82 of 119 | Total Record : 1182

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