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Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
jurikom.stmikbd@gmail.com
Editorial Address
STMIK Budi Darma Jalan Sisingamangaraja No. 338 Simpang Limun Medan - Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
JURIKOM (Jurnal Riset Komputer)
JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Articles 17 Documents
Search results for , issue "Vol 6, No 3 (2019): Juni 2019" : 17 Documents clear
Perancangan Alat Pengatur Jarak Pengunjung Museum Menggunakan Sensor Ultrasonik Berbasis Mikrokontroler At89s51 Eko Setia Budi; Raden Bagus Dimas Putera; Abdul Rahman Kadafi
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.459 KB) | DOI: 10.30865/jurikom.v6i3.1219

Abstract

In the current era of globalization, the rapid advance of information technology. The computer is the equipment created to facilitate human work, while achieving good progress in the manufacture of hardware or software. For that I am as a writer tries Final for the manufacture of a tool called "Distance Visitor Management Tool Museum Using Ultrasonic Sensor Based on Microcontroller AT89S51". This tool serves as a detector or a spacer visitors with tools or objects that want to be protected. With this tool would facilitate the security officer on duty, can more easily determine if there is someone who intentionally or unintentionally cross the line that has been determined the authorities to look at the tools or objects protected. For that here I try to practice and make this tool as a pilot and as inspirational. The design of this tool is very fit and have a good solution to help get the data without having to calculate and remember in mind manually.
Penerapan Algoritma Vegenere Cipher Dan Vernam Cipher Dalam Penggamanan File Text Shabrizqi Zamara
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (210.232 KB) | DOI: 10.30865/jurikom.v6i3.1345

Abstract

Kriftografi is one of the branches of subjects whose discussion is about security, data confidentiality and data integrity. But not all security can be solved by cryography. Cryptography can also be interpreted as science or art to maintain data security. When a data can be sent from one place to another, the contents of the data may be tapped by irresponsible parties. To maintain the data file, the data can be converted into a code that cannot be understood by other parties. Encryption is an encoding process that changes a code or data from what is commonly understood, called a plaintext, into a code that cannot be understood, called ciphertext. While the reverse process for converting a ciphertext into a plaintext is called decryption. The process of encryption and decryption requires a certain mechanism and key, and the unity of this system is often called a cipher. By using the classic vegenere cipher method and this cipher, it is expected to be able to secure text files. By encrypting and describing the text file, it becomes safer.
Sistem Pendukung Keputusan Pemilihan Induk Ikan Lele yang Berkualitas Untuk Meningkatkan Produksi Benih Ikan Lele Menggunakan Metode MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis) Dwi Nanda Cahyo; Muhammad Zunaidi; Widiarti Widiarti
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (147.69 KB) | DOI: 10.30865/jurikom.v6i3.1204

Abstract

The demand for national catfish seeds continues to increase. Therefore, catfish hatchery is a very prospective business for the future. The quality of the catfish parent in Indonesia which has greatly decreased makes the cultivation time longer and the quality of the seeds less good. To get good catfish seeds, researchers must look for quality catfish first. Before spawning, the mother catfish must feed a lot and also vitamins first in order to increase their production. In this case, the Decision Support System for Determining quality catfish is made using the MOORA (Multi-Objective Optimization Based on Analysis of Ratio) method, a method that will determine the choice to look for quality ones. Results Conclusions with this system indicate a system that determines predetermined criteria.
IMPLEMENTASI ALGORITMA CLASIFICATION ANDREGRESSION TREES (CART) DALAM KLASIFIKASI EKONOMI KELUARGA PADA DESADAGANG KELAMBIR TG.MORAWA Retno, Eti Yonika Sri
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (202.881 KB) | DOI: 10.30865/jurikom.v6i3.1336

Abstract

Family economy is a study of human efforts in meeting their needs through activities carried out by someone who is responsible for the needs and happiness of his life. Data mining is the process of extracting and identifying useful information and related knowledge from various large databases. Daminamining can increase the added value of a database. One of the algorithms in Data Mining is the Clasification And Regression Trees (CART) Algorithm is one method or algorithm of one of the data exploration techniques, namely decision tree technique. CART is fairly simple but is a powerful method. CART aims to get an accurate group of data as a characteristic of a classification. besides that CART is used to describe the relationship between response variables (dependent or non-dependent variables) with one or more predictor variables (independent or independent variables). With the use of weka tools, the results of the implementation process of the Clasification And Regression Trees (CART) algorithm are information or knowledge where the information can be an alternative that can be used by village head office employees in classifying the family economy.
Aplikasi Pencarian Dengan Menggunakan Algoritma Knuth Morris Pratt Pada Berkas Dokumen Shipment Rusito Rusito; Nurul Khasanah
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.695 KB) | DOI: 10.30865/jurikom.v6i3.1191

Abstract

File search of shipment transactions is vital for a company engaged in export import. If the file is lost or tucked or exchanged, the export and import management cannot be completed on time. The system that has been running in the search for files is still manual by searching for files in physical form in file file cabinets or searching for pdf attachments found in e-mail. With the new file search system, it is expected to save search time and overcome existing problems. This system was developed with ASP.net MVC programming language and SQLite database by applying the Knuth Morris Pratt algorithm. From the results of the effectiveness test, it can be concluded that the effectiveness of the new system is far greater than the old system, which is equal to 85.00%. While for the old system only 45.00%. This shows that the new system is better and more effective than the old system.
Sistem Pendukung Keputusan Pemilihan Personel Yon Zipur I Dhira Dharma Ke Daerah Rawan Konflik Menerapkan Metode MOORA Rizki Amalia Siregar
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (244.131 KB) | DOI: 10.30865/jurikom.v6i3.1338

Abstract

Decision making in an organization is the result of a continuous process of communication and participation of the entire organization. The results of these decisions can be agreed statements between alternatives or between procedures or achieving certain objectives. The Multi Objective Optimization method on the Base of Ratio Analysis (MOORA) using this method can provide the best alternative in selecting Yon Zipur I / DD personnel. This method has a good level of selectivity because it can determine the objectives of conflicting criteria. Where criteria can be of beneficial value or benefit.
Jaringan Syaraf Tiruan Untuk Memprediksi Jumlah Permintaan Pemasangan Indihome Dengan Metode Backpropagation Etca Adetina Banurea
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.84 KB) | DOI: 10.30865/jurikom.v6i3.1343

Abstract

Branch artificial neural networks of artificial intelligence that mimic or imitate the workings of the human brain. ANN can be implemented in various applications to solve many problems, especially in the field of forecasting. One algorithm that is often used is Bacpropagation. Backpropagation is an algorithm that can be used to predict the number of Indihome installation requests. There are two stages used in the backpropagation method, namely the training stage and the testing phase. In the training phase the pattern tries to recognize the input and at the testing stage the recognizable pattern is tested so that it is known the network pattern that can recognize and predict the number of indihome installation requests. The number of requests for Indihome installation is one. In this study the artificial neural network method is used backpropagtion method for predicting the number of individual installation requests. The software used for testing is the Matlab version 6.1 application.
Implementasi Jaringan Syaraf Tiruan Untuk Pengenalan Pola Notasi Balok Menggunakan Metode Backpropagation John Pierre Haumahu
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.409 KB) | DOI: 10.30865/jurikom.v6i3.1183

Abstract

The beam notations is officially used as the standard of international music notation, and is often found in scores for both musical instruments and vocals. In Indonesia, the use of numerical notation is more widely used and understood, because the learning process of notation beams is not easy, and takes time for the introduction of each symbol and its meaning. The pattern recognition technology makes it possible to recognize the pattern of the beam notations. The software used for system development is Matlab, utilizing artificial neural network using backpropagation method to recognize the pattern of beam notation. Backpropagation is a supervised learning method, where the system will be given the training first, and then the system can understand and identify patterns based on the knowledge gained. The final result shows that the system is able to recognize patterns from notations that have been previously studied with the highest percentage of 91.20%.
Perancangan Untuk Menentukan Ukuran Baju Berdasarkan Postur Badan Menggunakan Metode Sistem Pakar Manihuruk, Yohanes Septada
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (166.476 KB) | DOI: 10.30865/jurikom.v6i3.1192

Abstract

In globalizing world, for available sectors finding themselves a place is getting harder economically and commercially. This situation leads them to follow the latest technology to go ahead in common market. One of the latest technologies in textile field is trying on clothes for people in virtual environment. Here the biggest problem is to measuring and determining the size of the body. The aim of this study is to develop decision support system software to determine the most suitable body size. With this study, it is enabled to give easier and quicker result for the expert system.
Penerapan Data Mining Untuk Pengelompokan Bibit Sawit Yang Baik Menggunakan Metode Clustering Dengan Technic Single Linkage Asmitra Hot D Sinamo
JURIKOM (Jurnal Riset Komputer) Vol 6, No 3 (2019): Juni 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (102.865 KB) | DOI: 10.30865/jurikom.v6i3.1337

Abstract

Seeds are products that are produced from the procurement of plant materials that can affect the achievement of production. Through this nursery stage it is expected to produce good and quality seeds. In order to achieve crop production potential, palm oil seedling management is recommended to implement a planting grouping system in the field. This grouping is intended to guarantee uniformity of plant growth. It is difficult to select the palm seed grouping strategy in helping related people to take accurate steps for the next period. facilitate the implementation of culture. Data mining is mining or discovering new information by looking for certain patterns or rules from a number of raw data, which are expected to overcome these conditions. The data mining Clustering technique used in this study is a single linkage technique. Where data in clusters is formed based on the rules of this method. Based on the trials of the system that has been made it can be concluded that the use of clustering models for palm oil seedlings can produce clustering cluster values in 2.3 and 4 quantification of the set of criteria. From the results of the study it can be concluded that the application of single linkage techniques can be used to increase crop yields. Because the data on palm oil seedlings have been separated according to the type of each seed.

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