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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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Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan Tetap Menerapkan Pembobotan Rank Order Centroid (ROC) Abdul Karim; Shinta Esabella; Kusmanto Kusmanto; Mesran Mesran; Uswatun Hasanah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3265

Abstract

For companies, employees are an important aspect that must be supported by quality human resources. In the selection of permanent employees, usually the leadership in a company conducts an objective selection process in accordance with predetermined criteria. However, leaders often face several problems in this process, such as the selection is carried out in stages so that it takes a long time and the assessment of prospective employees is still done manually, making mistakes often occur. Therefore, a decision support system is needed as a solution to these problems by applying a comparison of the Operational Competitiveness Rating Analysis (OCRA) method and the Multi Attribute Utility Theory (MAUT) method and the weighting obtained by the Rank Order Centroid (ROC) method. The test results obtained the best alternative that is considered feasible as a permanent employee is in the same alternative, namely A5 on behalf of Risa Sabrani. The OCRA method produces the best preference value of 1.56 while the MAUT method produces the best preference value of 0.456 as the first rank
Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai Masyarakat Pada Kelurahan Dulalowo Timur Kota Gorontalo Menerapkan Metode Weight Aggregated Sum Product Assesment Karim, Jorry; Puspa, Misrawati Aprilyana; Kasim, Rachmat
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3269

Abstract

Bantuan yang dikelola oleh Kementrian Sosial tetapi dalam penseleksian penerima Bantuan Pangan Non Tunai (BPNT) ini, biasanya dilakukan oleh setiap Kelurahan. Kelurahan yang menjadi objek penelitian yaitu pada Kelurahan Dulalowo Timur. Pengolahan data untuk keluarga penerima manfaat BPNT saat ini belum terkomputerisasi sehingga pengambilan keputusan penerima manfaat tidak efektif dan efisien. Saat ini Total KPM (Keluarga Penerima Manfaat) di Kelurahan Dulalowo Timur 3 tahun terakhir berjumlah 423 KPM dengan rincian tahun 2018 sampai dengan tahun 2020 masing – masing sebanyak 141 KPM. Salah satu teknik pengambilan keputusan yang digunakan dalam analisis kebijakan adalah metode Weighted Aggregated Sum Product Assessment (WASPAS), sehingga diharapkan dengan adanya system pengambilan keputusan dengan menggunakan metode ini. Metode yang di gunakan dalam penelitian adalah metode Research and Development atau lebih dikenal dengan istilah metode Penelitian dan Pengembangan. Pada metode ini mendefinisikan sebagai metode penelitian yang digunakan dalam menghasilkan produk tertentu serta menguji keefektifan produk tersebut. Berdasarkan hasil pengujian Whitebox dan Blackbox dapat disimpulkan bahwa flowchart ini berjalan efektif dan efisien dan memperoleh hasil yang sesuai.
Klasterisasi Mineral Batuan di Lapangan X berdasarkan Data Spektral menggunakan K-Means Clustering Pane, Sulaiman Abdullah; Sihombing, Felix Mulia Hasudungan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2352

Abstract

Technology continues to be applied in the field of geology in various branches of science, one of which is the use of machine learning methods which are included in artificial intelligence technology. Machine learning methods able to identifying rock minerals. Rock mineral clustering is carried out to identify the distribution of the optimal number of mineral groups based on geological information held in rock drilling results data during the geological exploration stage in the Manjimup region, Western Australia. Identification of rock minerals through clustering is carried out using unsupervised machine learning with the K-Means clustering method. The data used in this research are data from the measurement of the electromagnetic spectrum in the form of Thermal Infrared (TIR) spectral data derived from rock drilling results. The spectral data used consisted of 341 parameters so that the input dimension was reduced to reduce computational complexity using Principal Component Analysis (PCA) into two-dimensional data so able to visualized more easily. Based on the evaluation results, the optimal number of rock mineral groups through the results of clustering using K-Means based on geological information is 3 groups of rock minerals
Analisis Usability Pada Implementasi Sistem Pengelolaan Keuangan Masjid Menggunakan USE Questionnaire Fachruddin, Fachruddin; Pahlevi, Muhammad Riza; Ismail, Muhammad; Rasywir, Errissya; Pratama, Yovi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2520

Abstract

The financial management of mosques with the use of technology can make financial data more organized, filed neatly and transparently. Moreover, financial reports are data that must be accounted for in order to be trusted by the public. However, it is necessary to know how good a financial management system is. By using the USE Questionnaire we can find out that an application can still run in accordance with applicable business processes without changing the data flow and some rules and reports that have been running previously. The need to analyze usability testing on financial applications is to support automatic and computerized mosque financial management and is considered very good in user testing. This study resulted in an average rating for the "Usefulness" instrument, the "Ease of Use" instrument, the "Ease of Learning and Satisfaction" instrument, which scored well above 93%. The “Usefulness” instrument received an average of 99.00%, the “Ease of Use” instrument received an average of 94.55%, the “Ease of Learning and Satisfaction” instrument received an average of 93.82%. Thus it can be stated that the mosque financial application built for mosque management is able to meet good criteria in the rules of the USE Questionnaire method.
Identifikasi Bawang Merah dan Bombay dengan Pendekatan Radial Basis Function Neural Network (RBFNN) Agusriandi, Agusriandi; Elihami, Elihami; Widiawati, Wilda
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2334

Abstract

A fact that identification in a human knowledge is very important role. Identification is able to summarize the knowledge, so it is easy to understand. Therefore, the classification of leek or red onion is an interesting study because the similarity of physical appearance of morphology between these two commodities is difficult to distinguish directly. This research tries to detect the difference between Bombay onion and red onion by using neural network with RGB color feature extraction method and gabor filter. The results of the detection are able to classify the types of onions, whether the onion is included in the type of leek or red onion. Many methods can be used to perform classification, one of which is Radial Basis Function Neural Network (RBFNN). After performing simulation with Matlab program, 100 images that become test data can be recognized perfectly. 
Implementation of TF-IDF Method and Support Vector Machine Algorithm for Job Applicants Text Classification Luthfi, Muhammad Faris; Lhaksamana, Kemas Muslim
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2276

Abstract

Tens of thousands of people are applying for job in PT. Telkom each year. The goal of the recruitment process is to get new employees which can fit PT. Telkom's working culture. Due to the high number of applicants, the recruitment process takes a lot of time and affecting higher cost to spend. We're proposing a popular combination of Term Frequency-Inverse Document Frequency (TF-IDF) as the extraction method and Support Vector Machine (SVM) as the classifier to filter the applicants' interview text. SVM generally produces better accuracy in text classification compared to Random Forest or K-Nearest Neighbors (KNN) algorithm. However, TF-IDF has several developments to improve its flaws, one of them is Term Frequency-Relevance Frequency (TF-RF). As a comparison, in this study we use three extraction methods: TF only (without IDF), TF-IDF, and TF-RF. We use interview texts from PT. Telkom as the data source. The results of combination SVM with TF-IDF can produce 86.31\% of accuracy, with TF only can produce 85.06\%, and with TF-RF can produce 83.61\% of accuracy. The results show extracting method TF-IDF can still outperform TF-RF in term of accuracy.
Implementasi Metode One Time Password pada Sistem Pemesanan Online Nani Sarah Hapsari; Yenni Fatman; Isbandi Isbandi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2195

Abstract

The most commonly used security system in the authentication method is the password. The ease of implementation is a major factor in the use of password-based systems and the use of insecure networks is still a threat for some applications, for example on this online ordering website based application. Where the seller must register in advance to be able to place an order. Therefore, it is necessary to have a mechanism to prevent the negative impact of various security attacks, one of which is by implementing a two factor authentication system, it can be built using a combination of username and password and validated ownership with dynamic passwords one time password. One method for generating One Time Password (OTP) is Time-based One Time Password (TOTP), this method generates a dynamic password that changes following a specified time lag. Where the password is generated through the Secure Hash Algorithm 256 (SHA-256) encryption process with the help of a pseudo random number generator that produces a 6-digit hexadecimal value. The results of the system testing at the beginning to the end of the system testing are the application of scenarios that obtain test results in the form of outputs and assessments with a range of values around 95% - 100%. The average results achieved are successful and appropriate based on the design carried out.
Pembuatan Kata Kunci Otomatis Dalam Artikel Dengan Pemodelan Topik Lucky Adhikrisna Wirasakti; Rony Permadi; Anggit Dwi Hartanto; Hartatik Hartatik
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.v4i1.1707

Abstract

This study aims to determine the appropriate keywords to be used in the publication of articles on the blog, the Latent Dirichlet Allocation (LDA) Model, an opportunity model which will produce a variety of different topics. Beginning with taking data from articles / blogs, then cutting articles per section and doing data preprocessing, and changing vector data into corpus to be modeled with LDA, then grouping with K-means to search for topics with higher assistance. The results of quoting from the LDA Model obtained 4 topics with 8 words with the highest probability value, mesin (0.09375857), maksimal (0.064600445), mazda (0.10009629), varian (0.07572112), cx-8 (0.10170187), mazda (0.101048954), mobil (0.09820121), dan mazda (0.05679208)
Perancangan Sistem Monitoring Ketinggian Air Sebagai Pendeteksi Banjir Berbasis IoT Menggunakan Sensor Ultrasonik Nicko Pratama; Ucuk Darusalam; Novi Dian Nathasia
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.v4i1.1905

Abstract

High rainfall in the rainy season can last about six months, this makes it rain continuously and cause an increase in the volume of water that has the potential for flooding. While the public does not get information or notice directly when it will happen. To anticipate these problems, the design of a water level monitoring system as an early flood detection based on IoT is considered efficient. The system will detect the distance of the sensor to the surface of the water, if the distance of the surface water approaches the sensor, the system will sound the siren as a sign of flooding. The system will display the alert status that occurs and the water surface distance in realtime.. From 100 data of water surface distance with ultrasonic sensors that have been tested, get 6 times the distance reading error. In testing of several water surface distances with sensors, the system can store all distance data into a database.
SISTEM PAKAR MENDIAGNOSA PENYAKIT GUMBORO PADA AYAM BROILER DENGAN METODE CERTAINTY FACTOR Garuda Ginting; Siska Subuh Hati Tarigan; Fadlina Fadlina
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 1, No 2 (2017): Juni 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v1i2.328

Abstract

The rapid development of technology along with the increasingly complex and complex human needs enable the field of computer science including expert systems to be used widely in various fields such as business, health, education and so on. Gumboro disease is caused by IBD virus originating from family (family) Birnaviridae virus and genus Avibirnavirus. This virus has two serotypes I and II. Only serotype I, is pathogenic (causes pain) in chickens. Serotype II attacks Turkey and is not pathogenic in chickens. The certainty factor was introduced by Shortliffe Buchanan in the making of MYCIN (Wesley, 1984). Certainty Factor (CF) is the value of the clinical parameters given by MYCIN to indicate the magnitude of trust.

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