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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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Identifikasi Dampak Penggunaan Sistem Informasi Rumah Sakit (SIRS) Terhadap Pelayanan Kesehatan Menggunakan Hot-Fit Model 2006 Frendy Rocky Rumambi; Salahudin Robo; Citra Amalia
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1973

Abstract

Hospital Information System (SIRS) is an integrated information system that aims to handle all hospital management processes, ranging from diagnostic services, medical data measures, medical records, pharmaceuticals, pharmaceutical warehouses, billing, personnel databases, payroll, and accounting to the control management. Based on Indonesian Constitution No. 44 Article 52 year 2009, paragraph 1 states that "Indonesian hospitals are required to record and report all activities that occur within a hospital". On the Indonesia ministry regulation, PERMENKES No. 1171 year of 2011, Article 1 paragraph 1 states that "Each hospital is required to apply SIRS". Therefore Dr. Samratulangi Tondano District Hospital of Minahasa Regency in the North Sulawesi uses SIRS to improve employee performance in providing health services to the community. The paper discussed how to identify the impact of the use of Hospital Information Systems (SIRS) on health services. The purpose of this study is to look at the impact of the use of the SIRS system based on four indicators contained in the 2006 Human Organizational Technology (HOT-Fit) method in addition to the DeLone and McLean Success 2003 methods. By taking 150 respondents of SIRS users randomly, data were collected and analyzed using SPSS and AMOS software.The four hypotheses derived from three components namely "Technology", "Human" and "Organization" have a positive impact and provide a net benefit to the use of the system. In short, the majority of users SIRS only focuses on functions for registration and administration rather than clinical functions. The availability of IT units and IT personnel influences the use of SIRS as well.
Perancangan Alat Penanggulangan Dini Bencana Banjir Berbasis Inframerah Dengan Mikrokontroller Atmega16, Pompa Air, Dan Calling Eri Riana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 2, No 3 (2018): Juli 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v2i3.617

Abstract

At the time of the rainy season requires us to be vigilant with their floods. To minimize losses caused by floods then the need for a tool that can detect and automatically controlling the floods. In general, automatic flood detector designed using Atmega microcontroller 16. The flood is detected by sensors Infrared sensors will then be forwarded to the microcontroller. Then Atmega microcontroller 16 will activate the buzzer relay and sim800l. With its active form buzzer sounds indicate a flood, the relay will automatically turn on the pump to suck up the water, and sim800l will make calls (calling). Thus we can immediately safeguard themselves and other valuables
Implementasi K-NN Dalam Analisa Sentimen Riba Pada Bunga Bank Berdasarkan Data Twitter Rasenda Rasenda; Hendarman Lubis; Ridwan Ridwan
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.v4i2.2051

Abstract

This study aims to formulate public opinion about bank interest included in the category of usury or not. The method used in this study is the analysis of usury sentiments on bank interest using Twitter data with the K-NN algorithm. Sentiment analysis using the K-NN algorithm gives good results. Evidenced by testing 170 twitter dataset using the K-NN algorithm obtained an accuracy of ± 70.59%. Assisted by the preprocessing process which aims to erase unnecessary parts and also change the form of documents in the form of tweets to a standard form so that classification can be carried out, so that the results of usury sentiment analysis on bank interest can clarify assumptions in the community and serve as a reference in determining appropriate banking products to the needs of customers
Deteksi Kanker Berdasarkan Klasifikasi Microarray Data Adiwijaya Adiwijaya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 2, No 4 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v2i4.1043

Abstract

Cancer is one of the diseases that can cause human death in the world and become the biggest cause of death after heart disease. Therefore we need a DNA microarray technology which is used to examine how gene expression patterns change under different conditions, so that the technology is able to detect a person with cancer or not with accurate analysis. The size of the dimension in the microarray data can affect the gene expression analysis that is used to find informative genes, for that we need a good method of dimension reduction and classification so that it can get the best results and accuracy. Many techniques can be applied in DNA microarray, one of them is BPNN Back Propagation Neural Network as a classification and PCA as dimension reduction, where both have been tested in several previous studies. By applying BPNN and PCA on several types of cancer data, it was found that BPNN and PCA get more than 80% accuracy results with training time 0-4 seconds.
Deteksi Kanker Berdasarkan Data Microarray Menggunakan Metode Naïve Bayes dan Hybrid Feature Selection Bintang Peryoga; Adiwijaya Adiwijaya; Widi Astuti
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2096

Abstract

Cancer is a deadly disease that is responsible for 9.6 million death in 2018 based on WHO data so early cancer detection is needed so can be treated immediately and cancer deaths can be reduced. Microarray is technology that can monitor and analyze the expression of cancer genes in microarray data but has high data dimension and small sample so dimensional reductions are needed for the optimal classification process. Dimension reduction can reduce the use of features for the classification process by selecting some influential features. Hybrid method is one dimension reduction by combining Filter method with Wrapper so it gets the both advantage. In this case, researchers combined Naïve Bayes with Hybrid Feature Selection (Information Gain - Genetic Algorithm) on cancer data for microarray Lung Cancer, Ovarian Cancer, Breast Cancer, Colon Tumors, and Prostate Tumors. These data were obtained from Kent-Ridge Biomedical Dataset. The results showed that from 5 data used, 4 data obtained an accuracy between 87-100% while the prostate tumor data obtained the smallest accuracy of 61.14%. The implementation of the feature selection method and the classification of the 5 cancer data above only uses less than 63 features to obtain this accuracy
Sistem Pendukung Keputusan Menentukan Pemberian Pinjaman Modal dengan Metode Multi Attribute Utility Theory Asyahri Hadi Nasyuha
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1093

Abstract

Technology development is very rapid, computers are utilized not only limited to data processing but also as solutions to problem solving in various fields of science, one of which is a decision support system. Decision support systems have added value in helping decision making by utilizing data and models to solve unstructured problems. In this case the decision support system is used to determine business capital borrowing using the Multi Attibute Utility Theory method. From the research carried out, many people have proposed business capital loans so that the capital provider is difficult to determine the prospective acceptance of appropriate business capital. Multi Attribute Utility Theory is used to find weighted sums of performance ratings for each alternative based on the values of each criterion. Ranking is the result of calculations using the Multi Attribute Utility Theory method.
Perancangan Sistem Keamanan Brangkas Menggunakan Pengenalan Wajah Berbasis Android Gilang Aditya Rama; Fauziah Fauziah; Nurhayati Nurhayati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2149

Abstract

The level of security in terms of access is one of the main priorities of everyone to improve the security system that feels the need for improvement following the development of modern technology. This study discusses a security system using Android-based face recognition. The aim of this research is that the safe safety system has a better level of security than the previous system. The initial stage to build this system, the authors do the literature data collection stage as a basis for the theory and system development methods used by software designers before is the waterfall method, in general this method is divided into several stages, including: Analysis, Design, Program Code and Unit Testing. For the method used in the research of this system is the eigenfaces algorithm method for the detection of facial objects in the initial process of image training. As well as the Local Binary Patterns algorithm method and Histrogram Equalization at the stage of reading the user's face recognition image accurately which has an accuracy of face reading up to 95.56%. The results of the user's face data will be processed in Wemos D1 and the data will be sent and stored in a database. The results of data from face recognition data will be used again as user data to open the safe. The conclusion, the system can read the user's face in real time and can work well for safe security systems
Aplikasi Bimbingan Tugas Akhir Menggunakan Notifikasi Berbasis Android Irma Salamah; Lindawati Lindawati; Hermika Yuliana Sitompul
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 3 (2019): Juli 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i3.1216

Abstract

This research provides a final assignment service application (MyAbita) as a monitoring system to carry out the guidance process. This application is made by utilizing technological developments. This application can be accessed online using Android in the data communication process. In the process of using it, this application will notify users. In the design process, this application is designed using the Rapid Application Development (RAD) method, making it easier for the application design process. In developing the system, this application uses android studio software and the programming languages used are Java, PHP, and XML. And for storing the database using MySQL. This application has been integrated online so that it can be used by students in conducting the final assignment guidance process and the lecturer can also monitor the progress of the guidance process at any time.
Perancangan Sistem Informasi Radio Online Universitas Nasional Berbasis Web Ibnu Bukhari; Mohammad Iwan Wahyuddin; Novi Dian Nathasia
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2214

Abstract

Radio in a college has now developed sufficiently. Radio Unas is a radio broadcast owned by the National University that is managed by the Unas TV and Radio Laboratory. Present online radio or website based radio streaming. Radio streaming is a technology that sends audio files simultaneously to many users. The purpose of this research is to build and develop a National University online radio using Icecast as a freeware and winamp streaming radio as software used for radio broadcast media. The design of this information system through several discussions is a needs analysis, system design, testing and implementation. With streaming radio at the National University, the public and students of the National University do not miss the latest information about the National University and become a means of entertainment for National University students and the public as long as they are connected to the internet. From the trial results of the National University's online radio site, the streaming radio system can help the public and students of the National University to provide streaming radio content, listen to music and view activities from the National University Radio through the website
Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menerapkan Kombinasi Metode Simple Additive Weighting (SAW) dengan Rank Order Centroid (ROC) Muliati Badaruddin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 4 (2019): Oktober 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i4.1508

Abstract

This research discusses the combination of Rank Order Centroid (ROC) and Simple Additive Weighting (SAW) methods to produce company manager's decisions in evaluating employee performance. The results of employee performance appraisal are expected to be more effective and objective due to the support of the decision support system used. Many studies have been conducted in performance appraisal using the Simple Additive Weighting method, but have not or do not use good weighting. With a combination of weighting and ranking methods, the outcome of the decision will certainly be more effective.

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