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Mesran
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STMIK Budi Darma Jalan Sisingamangaraja No. 338 Simpang Limun Medan - Sumatera Utara
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JURIKOM (Jurnal Riset Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 2407389X     EISSN : 27157393     DOI : http://dx.doi.org/10.30865/jurikom.v7i1.1927
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
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)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 13 Documents
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Search results for , issue "Vol 5, No 5 (2018): Oktober 2018" : 13 Documents clear
Implementasi Integrated Light Out (ILO) Dalam Jaringan Virtual Private Network Pada PT. Alfar Teknologi Solusindo Muhamad, Arief; Mulyani, Astriana; Sari, Eka Puspita
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i5.899

Abstract

PT. Alfar Teknologi Solusindo is engaged in the field of IT consultants whose fields of work include procurement of goods, hardware installation, and software, and after sales that must be maintained in order to be able to solve problems that occur in the Client, both clients in Jakarta and outside the Province DKI Jakarta because of course it has a need to be interconnected. Problems that often occur if there are problems outside Jakarta that require technicians to go to an area where more costs, time and peace are needed. To overcome the problems faced by PT Alfar Teknologi Solusindo he designed an Integrated Light Out Implementation in Virtual Private Network Networks at PT. Alfar Teknologi Solusindo. This implementation is expected to be able to monitor and be able to access directly to the server even though the server hardware is in a dead state or a blue screen remotely thereby reducing the costs incurred by the company.
Sistem Pendukung Keputusan Pemilihan Kamar Hotel Terbaik Di Kota Medan Dengan Menggunakan Metode Vikor Bako, Sridewi; Lubis, Nurhamidah
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (198.67 KB) | DOI: 10.30865/jurikom.v5i5.1058

Abstract

Hotel is one of the places needed as lodging facilities. Hotels in the city of Medan has also grown very rapidly. Information about the hotels - hotels in the city of Medan can be found in various websites. Decision support system is also a computer-based information system for decision-making management that handles semi-structured problems. To obtain the right hotel data and meet the expected criteria of visitors made a system that can input and update the completeness of their hotel data to in a form that has been provided. Thus, prospective visitors can obtain complete information about the data - hotel data in the city medan.Salah one method in the choice of hotel rooms in the city of this field is using the method VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje in Serbia). VIKOR method is a method of decision analysis with multi attribute decision making.
Aplikasi Diagnosa Penyakit Tuberculosis Menggunakan Algoritma Naive Bayes Amrin Amrin; Hafdiarsya Saiyar
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (213.202 KB) | DOI: 10.30865/jurikom.v5i5.900

Abstract

It is important for doctors to make an early diagnosis of tuberculosis in order to reduce the transmission of the disease to the wider community. In this study, the authors will apply methods of data mining classification, Naïve Bayes to diagnose tuberculosis disease. Based on the performance measurement results of the models using Cross Validation, Confusion Matrix and ROC Curve methods, it is known that Naïve Bayes method with accuracy of 94.18% and under the curva (AUC) value of 0.97. This shows that the models that are produced including the category of classification is very good because it has an AUC value between 0.90-1.00.
Implementasi Metode Nearest Feature Midpoint(Nfm) Pada Pengenalan Wajah Efan Lisander Zebua
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (165.356 KB) | DOI: 10.30865/jurikom.v5i5.1056

Abstract

The Nearest feature line is a virtual line that connects two prototypes in a class (one person) while the midpoint feature is the midpoint between two prototypes in the same class. Thus, face treasury will be multiplied by conducting extrapolation or feature point interpolation on each feature line in the feature space. To perform this feature line based classification, as an initial representation of the image, the eigenface formation method will be used. In general, by forming an eigenface space, the dimensions that are significantly significant in the face image will be reduced so that only the important dimensions are left. The eigenface space formation cannot be separated from the use of Principal Component Analysis (PCA) as a dimensional reducing device.
Perancangan Sistem Informasi Pembelajaran (E-Learning) Sekolah Menengah Atas Berbasis Web Ispandi Ispandi
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i5.858

Abstract

This e-Learning or computerized learning method provides convenience in the teaching and learning process because it uses internet media, intranet, or other computer networks so that it allows the delivery of subject matter to students. The learning information system that the writer makes covers the provision of learning material that can be read and studied anytime and anywhere, then provides practice questions to train the ability to master the material that has been learned that can be accessed directly whenever and wherever, and provide results direct assessment after the user exercises the questions so that the user is able to measure the extent to which the mastery of the material has been mastered.
Penerapan Dan Implementasi Algoritma Kriptografi Loki97 Dalam Mengamankan File PDF Pardede, Mikain
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.682 KB) | DOI: 10.30865/jurikom.v5i5.1057

Abstract

This Loki97 algorithm is an algorithm that has been recognized as an algorithm that can secure data so that the data we store in the form of pdf files cannot be opened carelessly by irresponsible parties. By applying Loki97 algorithm data that is confidential and very important data can be stored safely, many have used the Loki97 algorithm for data security such as in the journal Loki97 cryptographic algorithm implementation on video documents.
Sistem Pakar Pendeteksian Varicella Simplex Dengan Menggunakan Teorema Bayes Puji Sari Ramadhan
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.313 KB) | DOI: 10.30865/jurikom.v5i5.874

Abstract

Varicella Simplex is one of the infectious diseases that attacks the skin, this disease is caused by infection with the Varicella Zoster virus. In general, the detected virus can attack humans through systemic properties that cause overall infection. Most of this disease is suffered by people living in areas that are humid and whose immune systems are weak. At this time the lack of information and knowledge about Varicella Simplex resulted in the difficulty of knowing the disease early so that it could cause early treatment problems that could lead to greater transmission of the disease. Based on the phenomenon that has been stated, it requires a technology that is able to provide the right knowledge and information about Varicella Simplex along with the symptoms that occur in society, namely by applying Expert System technology which is part of the Artificial Intelligence science which will be implemented into a system computer-based using the Bayes Theorem application, so that later it can be used to diagnose or detect Varicella Simplex disease and can be used as a health consultation service that can help health experts as part of the initial diagnosis reference
Penerapan Data Mining Dengan Menggunakan Algoritma Ct-Pro Untuk Korelasi Obat Septianti Ari Mindawati Hasibuan; Berto Nadeak
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (166.656 KB) | DOI: 10.30865/jurikom.v5i5.1059

Abstract

A very large set of transaction data is only stored in the database and less utilized. Sales data can be further processed to obtain new information. For example, from the information can be seen simultaneously provided drugs. Such knowledge can be used as marketing complementary products and make monster sold in Apotek Kimi Farma. Data mining technology as a solution for customers. Marketing strategy and advice between strategies that can be supported by consumers. With the problems that exist in Apotik Kima Farma, the researchers tried to provide an alternative by applying the CT-Pro Algorithm. This algorithm is a market basket analysis algorithm used to produce association rules, with the "if-then" or "if-then" pattern. Market basket analysis is one of the techniques of data mining that uses patterns in a time. The purpose of this use can help the pharmacist to know the improvement of complementary drugs obat.dengan utilize drug sales transactions with patients.
Rancang Bangun Sistem Informasi Penerimaan Karyawan Berbasis Web Menggunakan Metode Waterfall Noer Hikmah; Rifqi Bagus Pratama; Suryanto Suryanto
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.123 KB) | DOI: 10.30865/jurikom.v5i5.839

Abstract

The employee recruitment and employee selection process is the first process for a company to get quality employees needed by the company. The need for quality human resources is an absolute need for companies to be able to develop and advance in the future. The company must first ensure the criteria for the desired employee. CV Bina Sarana Utama Cirebon often faces problems about unprofessional and qualified employees at work. This makes the company also often holds an employee recruitment process. For this reason, the authors intend to create an employee acceptance website to help CV develop the main means of Cirebon to select qualified and professional employees to join CV. The main means of Cirebon are using the Waterfall method.
Prediksi Kebangkrutan Menggunakan Artificial Neural Network Prana Yoga; Raden Bagus Dimas Putra; Eko Setia Budi
JURIKOM (Jurnal Riset Komputer) Vol 5, No 5 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i5.986

Abstract

Research for this bankruptcy prediction has been intensified since the 1960s (Altman, 1968). Bankruptcy prediction can be formulated as a classification model. This classification models approach involving statistical methods and machine learning methods. famous reliable method is a method of Artificial Neural Network (ANN). However, in the development of classification models using this ANN there are POINTS must be handled carefully. As the parametric model, ANN's performance depends on several parameters. Perceptron ANN able to handle data features are redundant because the weights are identical will be learned during the training process. Weight to the redundant features that will be pressed so that it becomes very small. The training process for the formation of a model takes a long time. This is because the Perceptron ANN must perform a number of iterations to perform the update in order to predict the relative weight properly on all training data

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