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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 757 Documents
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Penerapan Modifikasi Algoritma Trithemius Pada Aplikasi Penyimpanan File Secara Online Andriaman Purba; Nelly Astuti Hasibuan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 1 (2021): September 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i1.2630

Abstract

The more time is developing, the more knowledgeable, as well as file storage. As is known at this time very many people save files online because it is easy to access anytime and anywhere only with capital, but the drawback of online storage is the security that can be unsettling to users at any point of online storage. So the authors use one of the Cryptographic Algorithms, namely the Modification of the Trithemius Algorithm to carry out the security of files stored on online media. This algorithm can change the code by encrypting files. It is hoped that the community will apply or use the Trithemius Algorithm modification in order to help the community in securing files, especially important files.
Sistem Informasi Pemesanan Lapangan Pada Arena Futsal Kelapa Dua Berbasis Web Eko Setia Budi; Raden Bagus Dimas Putra; Abdul Rahman Kadafi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2644

Abstract

Kelapa Dua Futsal Arena is an individual company engaged in the futsal field reservation service. In this futsal ordering service, the service factor affects the smooth operation of the information. With good information system services and also optimizing profits on the futsal field ordering service. Therefore a website is needed in order to simplify the process of ordering the futsal field and provide information on the availability of empty fields to the orderer through the ordering information system.
Perencanaan Pembuatan Aplikasi Mobile Revalcon Sampit Menggunakan Metode Net Present Value Muhamad Firhan Al Farisi; Yudha Adyatma Syifa
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2660

Abstract

This study examines the development plan of Revalcon's online motorcycle taxi service to simplify its services by creating a service application. The purpose of this research is to find out whether making this application can increase Revalcon's turnover, to find out that the author uses NPV (Net Present Value) as a tool for decision makers. The data collection process was carried out by interviewing Revalcon's management. The analysis results show that the final value of the test results is higher than the price of making the application. A review of the test results will be very useful for Revalcon's online motorcycle taxi in deciding on making service applications.
Perbandingan Klasifikasi Website Secara Otomatis Menggunakan Metode Multilayer Perceptron dan Naive Bayes I Nyoman Purnama
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2703

Abstract

World wide web has become a big repository that contains lot of information. As the number of websites continuous growth exponentialy, the need of website classification gains attractions. The human ability to perform manual classifications is increasingly difficult. Website Classification using machine learning technique become more important to do, because the classification process is done automatically. The classification system begins with the process of collecting information from the home page of the web site(parsing). Home page of a web site is a distinguished page and it acts as an entry point by providing links to the rest of the web site. For each parsing result of the homepage there are process of removing the stop word, stemming and feature selection with tf-idf. The result of this process is a feature that becomes input of machine learning algorithm. In this algorithm there are learning process of input pattern and making of the weight. This weight will be used in the classification process. In this research, the learning process is developed by using multi layer perceptron and naive bayes algorithm. The classification results of each method will be compared. Based on the results obtained, naive bayes have a better accuracy rate than multilayer perceptron. With accuracy of 89% Naive Bayes and MLP has 80% accuracy
Penerapan Algoritma K-Means Pada Penjualan Frozen Food Pada UD Soise Sosis Pematangsiantar Siti Andry Yani Nasution; Poningsih Poningsih; Harly Okprana
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2768

Abstract

The research objective is the application of the K-Means algorithm in Frozen Food sales, to classify the number of Frozen Food sales in each month, to take what month the highest and lowest sales data. The method used is the K-Means algorithm and is accompanied by a Rapid Miner in processing the data. Data sources obtained from observations, interview and document to shop owners and coworkers. There are several types of Frozen Food and sales data from April to November 2019. Where the results of the study can provide information to business owners, what Frozen Food should be increased in production so that business owners can increase their Frozen Food sales.
Analisis Dalam Menentukan Pemilihan Produk Handphone Menggunakan Metode Analytical Hierarchy Process (AHP) Rizki Pratama; Sundari Retno Andani; Jalalludin Jalalludin
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2769

Abstract

Handpone/smartphone is one of the most popular electronics by melenial people at this time, various handphone/smartphone products have also been lauched and varios types, so it makes the developers confused to choose whitch handpone/smartphone is the best among the good, starting From the price, comfout and durability, I analyse several mobile phones that I think are comfortable, affordable, and have specifications that are increasingly increasing, here are some brands of handpone/smartphone that I analyzed, namely : 1. Samsung, 2. Oppo, 3. Xiaomi, of the thre, namely Xiaomi, I analyzed using the Analytical hierarchy Process (AHP) method, which resulted in a single winner for the selection of the best handpone/smartphone among the bes
Penerapan Algoritma K-Means Clustering Dalam Persentase Merokok Pada Penduduk Umur Di Atas 15 Tahun Menurut Provinsi Rahmat Kurniawan; Suhada Suhada; Rafiqa Dewi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2770

Abstract

This research aims to determine the number of people who are smoking the age of 15 years by applying Data Mining. The application uses the K-means algorithm where the data entered is the percentage of smoking. Using this method the data obtained can be grouped into 2 klasters. This research uses secondary data that is obtained from intermediate media that is recorded on the site of the Central Statistics website with the URL address https://www.bps.go.id/. The results gained in this study are grouping the number of smoking percentages that are grouped by as many as 2 klasters is klaster 1 (highest klaster) to get results 22 provinces and klaster 2 (lowest klaster) get 12 provinces.
Sistem Pendukung Keputusan Menentukan Kelanjutan Dan Kinerja Keuangan Pada Usaha Produksi Gas Menggunakan Metode Rasio Likuiditas Nadia Pranata; Tiara Nur Safitri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2771

Abstract

In this case, the research conducted aims to determine the sustainability and financial performance of the gas production business. In this study also, the liquidity ratio method that can be used to find out these problems can be calculated through the current ratio, quick ratio, and cash ratio. By taking the data that has been obtained, it is the result of gas sales during October. By using this liquidity ratio method, the data that has been processed through the calculation of the current ratio, quick ratio, and cash ratio shows that business continuity and financial performance in this gas production business have a very important effect. Where the continuation of the business gets the calculation result >1, then this business is feasible to continue, and the financial performance with the income earned by this business per day until the end of October increases.
Penerapan Metode Waspas Untuk Efektifitas Pengambilan Keputusan Pemutusan Hubungan Kerja Nelly Khairani Daulay
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2773

Abstract

Layoffs are the most feared thing for every employee.  There are many reasons behind a termination.  For example, the company is experiencing a decline in terms of revenue so it feels necessary for a reduction in employees.  Then the mistakes made by the employee itself such as criminal acts or mistakes in the work, or perhaps the personal desire of the employee himself due to personal reasons. But in the event of termination of employment, the leadership should be wise so as not to happen things that can interfere with the sustainability of the company. Because often the assessment given to employees is not subjective so it harms the employee itself. To overcome this, a decision support system is needed that can help the leadership to be able to take good policies. This decision-making system (SPK) requires a method in the process of completion. There are many methods that can be used one of them is the WASPAS method. The purpose of this research is to give an overview to the leadership in order to make good decisions so as not to harm employees. The results obtained by Karywan with the smallest value will be laid off. The smallest value is obtained by employee no. 4 with a value of 0.75
Rancang Bangun Sistem Informasi Manajemen Laundry Pada Klin En Klin Laundry Arie Rafika Dewi; Nurjamiyah Nurjamiyah
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 2 (2021): Januari 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i2.2797

Abstract

Klin en Klin is a business that is engaged in clothes washing and ironing services that are starting to develop. Where this laundry business provides kilogram washing services and washing services that are calculated per item including washing and dry services and ironing services such as washing clothes, washing bad covers, washing blankets, washing curtains, washing dolls, washing bags, washing shoes, washing helmets, washing carpets, wash the coat. The management process in this laundry service activity is still manual. In data collection activities, customers' clothes are still very inefficient because data collection is still using paper and handwritten. When the customer comes to hand over the goods, the recording of goods data and making notes is still using paper so that when the data is stored or archived, the data is prone to loss or damage which could result in negligence or natural disaster. In addition, financial statements can also be miscalculated. Transaction systems that are still manual and still not optimal have found problems such as accumulation of records and reports, slow information flow, slow data retrieval process and difficult transaction report recap. To overcome this problem, a laundry management information system is needed that can increase the effectiveness and efficiency of the Klin En Klin Laundry business. The purpose of this research is to produce a web-based software application using the PHP programming language and MySQL database to design a Laundry Management System. The result of this design is to produce a Web-based application that can be a medium of information to help laundry service businesses in managing their management

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