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Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
mib.stmikbd@gmail.com
Editorial Address
Jalan sisingamangaraja No 338 Medan, Indonesia
Location
Kota medan,
Sumatera utara
INDONESIA
JURNAL MEDIA INFORMATIKA BUDIDARMA
ISSN : 26145278     EISSN : 25488368     DOI : http://dx.doi.org/10.30865/mib.v3i1.1060
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)
Articles 6 Documents
Search results for , issue "Vol 1, No 2 (2017): Juni 2017" : 6 Documents clear
SISTEM PAKAR DIAGNOSA PENYAKIT SINDROM KLINEFELTER MENGGUNAKAN METODE BAYES Sihombing, Darma Taksiah; Hasibuan, Nelly Astuti; Saputra, Imam; 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.v1i2.325

Abstract

The development of computer-based medicine has increased in every generation. Health problems handled by doctors can now be accessed by anyone through the computer, one of them with the development of Expert System, the work of doctors facilitated. One of the health problems such as changes in physical men who resemble the physical woman is often a scary specter for some ordinary people. Not a few men change their true self to become a woman with the operation in neighboring countries such as Malaysia, Vietnam and even the Netherlands. Without realizing it these changes are actually closely related to the excess chromosomes found in genes in the blood. For that various symptoms or signs such as small testes, enlarged breasts like women and other complaints are a symptom of Klinefelter's Syndrome.
RANCANGAN PENDUKUNG KEPUTUSAN PEMILIHAN TELEVISI BERLANGGANAN MENERAPKAN METODE ANALYTICAL HIERARCHY PROCESS(AHP) Irfan, Muhammad; Mesran, Mesran; Siregar, Dodi; Suginam, Suginam
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.v1i2.326

Abstract

Television subscription is a product of one of the today's technological developments. Television subscription is a television broadcasting service that is made specifically for viewers who are willing to pay (subscribe) on a regular basis. The number of subscription television products add to the vibrant entertainment business through the glass screen media, before the public only recognize free to air television that can be enjoyed for free. Currently, in some major cities, a number of pay-TV operators compete for customers by offering a variety of exciting television entertainment programs such as news, education, music, movies and so on. This makes it difficult for customers to choose the best television subscription option in providing their services. Implementation of decision support system in the selection of television subscription and using Analytical Hierarchy Process method known as AHP is expected to give the best decision result. Analytical Hierarchy Process is a process of developing a numerical score to streamline alternative decisions based on how each alternative fits the criteria.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERUMAHAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Hartika Manao; Berto Nadeak; Taronisokhi Zebua
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.v1i2.327

Abstract

Housing is a basic human need and needs to be nurtured and developed for the sake of the continuity and improvement of people's lives and settlements that can not be seen as a means of necessity solely, but more than that is the process of human settlements in creating a space of life to socialize themselves in expressing their identity. During this time customers make housing selection based on information from others, observing housing and experience by not considering the criteria needed so often cause new problems for the customer after buying housing. Problems such as inconvenience, credit installment problems and so forth. Decision support systems are generally defined as a system capable of producing solutions and problem- solving. Decision support systems are not intended to replace decision-making roles, but to assist and support decision makers. One of the most commonly used methods in decision support systems is the simple additive weighting (SAW) method. This simple additive weighting method can determine the preference value of each alternative, then perform the warfare process that can select the best alternative from a number of alternatives available.
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.
PEMANFAATAN DATA MINING DENGAN METODE CLUSTERING UNTUK EVALUASI BIAYA DOKUMEN EKSPOR DI PT WINSTAR BATAM Yuli Siyamto
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.v1i2.322

Abstract

Data Mining is a technology that already exists and grows long enough. Many companies are less use of old data stored in the database, to be used as much as possible. This research is trying to apply Data Mining technology by using the clustering method to get new knowledge, which is expected to be useful for the continuity and development of the company. The algorithm used is K-Means Clustering which is the process of grouping a number of data or objects into a cluster (group) so that each cluster will contain data that is as similar as possible and different from other cluster objects. Tests were performed with the Rapid Miner 5.3 application. The result is clustered clustering customer data suggested for the evaluation of the cost of processing the export documents.
DATA MINING UNTUK MEMPREDIKSI JENIS TRANSAKSI NASABAH PADA KOPERASI SIMPAN PINJAM DENGAN ALGORITMA C4.5 Hikma Widayu; Surya Darma Nasution; Natalia Silalahi; Mesran Mesran
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.v1i2.323

Abstract

In the field of business, data mining techniques are used to support a wide range of business intelligence applications such as customer profiling, targeted marketing, workflow management, store layout and fraud detection. Lack of predicting the type of Customer Transactions that exist in this cooperative makes the manager or leader of this cooperative difficult in terms of providing loans and also in accepting new cooperative members. Leaders also have difficulties in knowing the profession of customers who borrow the most at this cooperative. As for the process of predicting the type of Customer Transaction during this time, there is a saving and loan operation is still based on the direct view of the type of Customer Transaction and see the existing ledger notes of the cooperative.

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