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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Computer Networks, Architecture and High Performance Computing
Sahat Sonang Sitanggang
Politeknik Bisnis Indonesia
Computer Science & IT Education Engineering

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Perancangan Dan Implementasi Private Cloud Storage Dengan Owncloud Pada Jaringan Lokal Menggunakan Virtualbox Andi Setiadi Manalu; Sahat Sonang Sitanggang
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 2 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v1i2.244

Abstract

Teknologi Cloud Computing dengan layanan Private Cloud Storage merupakan dan menjadi sebuah jawaban untuk permasalahan yang sering terjadi dikehidupan kita sehari-hari yaitu pada permasalahan penggunaan perangkat penyimpanan fisik seperti memory card, flashdisk dan harddisk dimana data-data yang ada didalamnya sering terjadi kerusakan seperti kerusakan fisik perangkat, terkena bad sector, terkena virus, perangkat hilang dan lain sebagainya seperti yang sering terjadi pada mahasiswa dan mahasiswi Politeknik Bisnis Indonesia Murni Sadar Pematangsiantar. Teknologi Cloud Storage yang akan dirancang bersifat private hanya untuk kalangan kampus dan pada jaringan lokal kampus yang tersedia. Perancangan sistem yang akan dilakukan menggunakan virtualisasi dengan Oracle VM VirtualBox. Sistem operasi menggunakan Ubuntu Server 14.04.6 LTS, Web Server menggunakan Apache2, DBMS (Database Management System) menggunakan Mariadb, Interpreter menggunakan PHP dan Content Management System (CMS) menggunakan Owncloud. Setelah perancangan sistem dilakukan kemudian sistem tersebut diimplementasikan pada VirtualBox setelah itu dilakukan pengujian sistem terhadap akses data ke sistem dengan Smartphone dan komputer sehingga didapatkan sebuah sistem yang dapat berjalan dan berfungsi dengan baik agar dapat meningkatkan efisiensi perkuliahan.
Implementation of Simple Additive Weighting in Providing Micro Business Loans at Bank Mandiri Pematangsiantar Sahat Sonang Sitanggang; Erwin Sirait
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i1.948

Abstract

Banks are institutions and institutions that are organizations and institutions in Indonesia and have an important role in the sustainability of the Indonesian economy. Bank Mandiri is one of the banks that provides micro business credit facilities to the business world. The higher the public's interest in getting micro business credit, the banks need software to help determine who is entitled to credit. In order to produce a proper feasibility analysis, a method of decision-making in overcoming these problems is needed so that determining who is entitled to receive credit is not too long and efficient in reducing credit risk. Problems arise in the decision-making process for granting micro-business loans, namely the inaccuracy of micro-business credit recipients. The above problems can be resolved by building a Decision Support System which can assist decision makers in assessing and selecting micro business loans using variables: Income, Collateral, Loan Limit, Installments, Length of Business, Number of Dependents. The system built by applying the Simple Additive Weighting method is known as the method of adding weight. The Simple Additive Weighting method requires a decision matrix normalization process  to a scale that can be compared with all available alternative ratings. This will be a reference in ranking and consider the advantages and disadvantages of applying for a credit loan in order to find the desired candidate. From the test results using 10 data samples, it was obtained that the first rank was received credit on behalf of A5 with a value of 9.33, and the last rank was on behalf of A6 with a value of 6.4. and very helpful in solving problems faced by Bank Mandiri Pematangsiantar.
Implementation of Additive Weighting in Providing in Receiving Bidik Misi Scholarships at the Politeknik Bisnis Indonesia Sahat Sonang Sitanggang; Andi Setiadi Manalu
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v2i1.949

Abstract

This research was conducted to design a Decision Support System as a tool for decision makers in distributing the Bidik Misi Scholarship at the Politeknik Bisnis Indonesia. The selection of students who volunteered to become Bidik Misi Scholarship recipients used the Decision Support System (DSS) approach which applied the Simple Additive Weighting (SAW) method so that the decisions of Bidik Misi Scholarship recipients that had been subjective, non-transparent, and immeasurable could be overcome. The Simple Additive Weighting method is carried out by weighting the criteria and sub-criteria for each alternative for all attributes. The SAW method in the process is by normalizing the decision matrix (X) to a scale that can be compared with all existing alternative ratings. The criteria used in the SAW method in this study consisted of 2 (two) criteria and each of these criteria had Sub Criteria. The first criterion is Parents with Sub Criteria consisting of: Education, Income, The Number of Dependents. The second criterion is Students with Sub Criteria consisting of Age, Academic Potential, KIP Ownership. The output obtained from 5 data samples analyzed in this study obtained first rank NM1 with a value of 0.9, second rank NM3 with a value of 0.77, third rank NM5 with a value of 0.62, fourth rank NM4 with a value of 0.59, fifth rank NM2 with a value of 0.55. Based on the results of the tests conducted, it is concluded that the Bidik Misi Scholarship decision support system using the SAW method can make it easier and very helpful in solving the problems faced by the Politeknik Bisnis Indonesia.
Image Transformation With Lung Image Thresholding and Segmentation Method Sahat Sonang Sitanggang; Yuhandri Yuhandri; Adil Setiawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4321

Abstract

Image transformation is important to obtain and find certain information about an image that was not previously known, such as pixels, geometry, size, and color. Following this, this research aims to analyze image transformation in producing better values using threshold and segmentation methods. The segmentation process is carried out based on two color models, namely hue saturation value (HSV) and red green blue (RGB). The image data used in this study was the x-ray image of the lungs from www.fk.unair.ac.id. which is processed using the Matlab 2021a application to help the analysis process. on the results of the image segmentation analysis carried out in this case, the greater the HSV and RGB threshold values used in the image data, the better and clearer the segmentation of the detected image results. In other words, the size of the thresholding value generated greatly affects the quality, brightness, size, and color of the resulting image. The best lung X-ray image segmentation results were obtained when using the threshold values HSV = 0.9 and RGB = 9.
Co-Authors Andi Setiadi Manalu Erwin Sirait Setiawan, Adil Yuhandri Yuhandri