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Jurnal Sistem Komputer dan Informatika (JSON)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : -     EISSN : 2685998X     DOI : https://dx.doi.org/10.30865/json.v1i3.2092
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
The Jurnal Sistem Komputer dan Informatika (JSON) is a journal to managed of STMIK Budi Darma, for aims to serve as a medium of information and exchange of scientific articles between practitioners and observers of science in computer. Focus and Scope Jurnal Sistem Komputer dan Informatika (JSON) journal: Embedded System Microcontroller Artificial Neural Networks Decision Support System Computer System Informatics Computer Science Artificial Intelligence Expert System Information System, Management Informatics Data Mining Cryptography Model and Simulation Computer Network Computation Image Processing etc (related to informatics and computer science)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 17 Documents
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Search results for , issue "Vol 2, No 3 (2021): Mei 2021" : 17 Documents clear
Sistem Pendukung Keputusan Pemilihan Bahan Bakar Sepeda Motor Matic Mengunakan Metode Simple Additive Weighting (SAW) Renny Puspita Sari; Muhammad Rizqi Darmawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.3028

Abstract

Fuel oil is the main requirement when people want to drive, one of the vehicles is an automatic motorbike which is widely used by the community. There are many fuels at the gas station, namely premium, pertalite and pertamax. In choosing community fuels, there are still many things to consider, both in terms of quality, price, fuel efficiency, and others. From these various considerations, people must be confused about which one is suitable for their needs. For this reason, there is a DSS (Decision Support System) for selecting motorcycle fuel to assist in finding the appropriate fuel. This system was created using the MADM (Multiple Attribute Decision Making) method to find alternatives to various criteria, including the SAW (Simple Additive Weighting) method to find a rating for each weighted criterion. In the SAW method, the largest rating is the result of alternative choices. The calculation result of the method is if the selected alternative meets the predetermined criteria. In this study, the results of the calculation simulation obtained through the survey are pertalite fuel with the final rating of 0.718, while Pertamax is 0.716 and premium is 0.665
Pengamanan Backup dan Restore Basis Data dengan Penambahan Enkripsi Advanced Encryption Standard (Studi Kasus: Analisis Jabatan Bagian Organisasi Kabupaten Balangan) Bambang Abdi Setiawan; Nur Hamid Sutanto; Gusti F Rahman; Ema Utami; M Syukri Mustafa
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.2940

Abstract

Job analysis is needed to analyze and design what work to do, how to do it, and why the work should be done. Job analysis will provide information about job descriptions, job specifications, and job evaluations and can even predict job enrichment or expansion and job simplification in the future. This study aims to implement database security management procedures as a measure to prevent damage (error), loss and theft of data through backup and restore methods accompanied by encryption in the Job Analysis System application of the Balangan Regency Organization Division (Simanja). The backup process by adding Advanced Encryption Standard (AES) encryption which is stored to remote cloud hosting as a backup server using SSH Transfer Protocol (SFTP) provides adequate and efficient security.
Penerapan Data Mining Dalam Meningkatkan Mutu Perawatan dan Perbaikan Perlengkapan Alat-Alat Kapal Laut Menerapkan Metode K-Means Clustering Yulifa Esfana Putri Sinaga; Garuda Ginting; Melda Panjaitan
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.2626

Abstract

This study aims to propose in carrying out sailing activities on the KN. Arcturus ship every week, so that maintenance and maintenance activities need to be carried out properly and scheduled so as not to interfere with ongoing production activities. The current machine breakdown is still relatively high and requires a long repair time, what is proposed is preventive maintenance using the Clustering technique. The method used is K-Means Clustering. By using this method, the data that has been obtained can be grouped into several clusters, based on the similarity of these data, so that data that has the same characteristics are grouped into one cluster and those that have different characteristics are grouped into another cluster. We can use the abundance of data to find hidden information from these data. In order to find out the hidden information from these data, it is necessary to process the data. The data processing process is also known as data mining. With this grouping it will know the results of the analyzed data.
Sistem Pendukung Keputusan Rekomendasi Emiten Saham Menggunakan Metode Simple Additive Weighting Renny Puspita Sari; Muhamad Rabil Maulana
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.3037

Abstract

In the current era, stock investing is an instrument that is currently popular with Indonesian youth, stock investing is one of the many investment options that are increasingly in demand by various groups. Investing in stocks is an activity to refrain from enjoying the present for more enjoyment in the future, this investment often brings someone to be wiser in managing their finances, choosing good stocks is not an easy thing for some investors it takes many factors and ratios - financial ratios to choose stocks that can provide financing by the initial investment objectives. Therefore we need a system to help these problems. The system is a decision support system that can assist in making decisions from the available options. This Stock Issuer Recommendation Decision Support System Using the Simple Additive Weighting Method is here to assist decision-makers to choose good issuers or stocks to collect so that they can provide good profits in the future. The results of the calculation on the system using the Simple Additive Weighting method will show the best suitable stock recommendations for the user based on the data they enter.
Analisis Forensik Digital Memori Volatile untuk Mendapatkan Kunci Enkripsi Aplikasi Dm-Crypt Vipkas Al Hadid Firdaus; Dodit Suprianto; Rini Agustina
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.2998

Abstract

Disk encryption technology is something very useful in securing data. On the other hand, disk encryption can be used by criminals to hide the digital evidence. The information in the disk will be very useful for the investigation, but if the disk on the computer evidence encrypted then it will hamper the investigation process. The conditions will certainly be a challenge for investigator cybercrime to be able to find the disk encryption key, especially if the perpetrator did not cooperate in the investigation process. The analysis of the image memory to get the encryption key will be helpful in the investigation. In the overall memory activity on the computer evidence will be recorded, using a live image memory dump on the computer evidence, the decryption keys can be recovered. This paper will discuss about forensic analysis to getting the disk encryption key on the dm-crypt is used to encrypt the disk on Linux operating system and prove that through forensic image memory on a live memory dump, key dm-crypt disk encryption can be found with a success percentage of 80%. On this paper the research will be focused on the Linux operating system with dm-crypt function to full disk encryption.
Sistem Pendukung Keputusan Penentuan Pemberian Insentif Pegawai THL Menggunakan Metode Promethee Pada Kantor Walikota Pematangsiantar Sepridho, Jaka; Damanik, Irfan Sudahri; Okprana, Harly
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.2853

Abstract

Pematangsiantar Mayor Office is an institution that is used and functions to serve and protect the community. This paper proposes a decision support system research using the Promethee method. Promethee is one of several methods of determining the order or priority in multi-criteria analysis. This writing uses the Promethee method as a step in determining the provision of incentives for freelance daily staff at the Pematangsiantar Mayor's Office. In this study the authors took 10 alternatives with 5 assessment criteria including absenteeism, achievement, behavior, long history of work and teamwork. With the highest result obtained by alternative 9 on behalf of Triono with a value of 0.422 and the lowest result obtained by alternative 6 on behalf of Soraya with a value of -0.211.
Sistem Pemilihan Smartphone Berdasarkan Spesifikasinya Pada Mahasiswa Sistem Informasi Universitas Tanjungpura Menggunakan Metode Simple Additive Weighting (SAW) Sari, Renny Puspita; Saputra, Bayu
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.3038

Abstract

Current technology is often used by all groups, one of which is students in the Information Systems department at Tanjungpura University. One of the technologies used is a Smartphone which is a tool for students to communicate with each other even during the current pandemic, Smartphones are used for learning as well and each Smartphone has its own specifications that make it superior to other Smartphones, of course with the number of Smartphones circulating in the market. will be confused in making the selection, thus the decision support system to choose a Smartphone based on the specifications is made for the purpose of assisting in the selection of the Smartphone. The Simple Additive Weighting (SAW) method is used to complete the decision support system for Smartphone Selection During the Pandemic for the Tanjungpura University Student Information System which uses weighted summation for each performance rating for each alternative. In this study, the results of the calculations obtained from the survey are Samsung S21 5G with a value of 73.75, Iphone 11 64GB with a value of 48.75, Vivo Y17 with a value of 81.25, Asus ROG Phone 5 with a value of 80, Oppo A92 and with a value. 96.
Penerapan Metode Multi Objective Optimization on The Basic of Ratio Analysis (MOORA) pada Pemilihan Masker Organik Wajah Berdasarkan Kriteria Amanda, Ade Dwi; Arieni, Fildzah Nadya; Windarto, Agus Perdana
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.3011

Abstract

Organic masks are masks made from natural ingredients that have good nutritional content for the face. Organic masks have many benefits which are certainly no less than treatments at a beauty doctor. Facial masks are beauty masks in the form of gels, pastes and powders which are applied to clean and tighten the skin, especially facial skin. Face masks also function as carriers for active ingredients that are useful for skin health, such as extra plants, essential oils, or seaweed that can be absorbed by the skin's surface to be carried into the blood circulation. The purpose of this study is to help consumers determine the best organic face mask. This research method uses the MOORA method. The criteria used are Variant (A), Size (B), Price (C), Aroma (D), Method of Use (E), Rules of Use (F), Results of Use (G). The alternatives used are Crushlicious (0.1147), Namo.Id (0.2758), NHM (0.2257), Lea Gloria (0.7218), Poupeepou (0.1692), and Natuna Oilvera (0.1157). Thus, the best value of the six alternatives is the Lea Gloria Organic Face Mask with a value of 0.7218.
Penerapan Metode Composite Performance Index (CPI) Dalam Penerima Bantuan Kelompok Usaha Bersama (KUBE) Zainab Sipahutar; Berto Nadeak; Putri Ramadhani
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.2627

Abstract

A joint business group is a group of citizens or a group of social communities formed from families classified as poor communities through a social welfare program, abbreviated as prokesos, which is useful for carrying out business to increase the income of a group of underprivileged residents. In the decision-making process, errors and inaccuracies in the distribution of aid to the community, for example, people who do not deserve assistance but who receive assistance are inversely proportional to poor communities who do not receive assistance. This problem arises because of the lack of careful selection and miscalculation in determining which people are entitled to receive assistance. For this reason, it is necessary to have a decision support system in producing decisions so that it can support the decisions made by the Province of Social Affairs more real. In this study, one of the Composite Performance Index (CPI) methods is used which is expected to be able to assist the Provincial Social Service in determining the appropriate kube in receiving assistance.
Sistem Pendukung Keputusan Pemilihan Kategori Skripsi Bagi Mahasiswa Sistem Informasi Renny Puspita Sari; Enricho Rasimin
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.3035

Abstract

SPK or usually called the Decision Support System is a system for recommending decisions using data, at Tanjungpura University, Faculty of Mathematics and Science, more precisely is Information Systems, which is now has more than 200 students where students are there still often confused to lift the title of what thesis they want, therefore I will create a system that can recommend what thesis is better used in this Information Systems study program using the SAW method, so that students can find out what thesis category is suitable for these students. Because the system uses course scores as data to make decisions, the accuracy of the system can exceed 90%.

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