cover
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
jurnal.json@gmail.com
Editorial Address
STMIK Budi Darma Jln. Sisingamangaraja No. 338 Telp 061-7875998
Location
Kota medan,
Sumatera utara
INDONESIA
Jurnal Sistem Komputer dan Informatika (JSON)
ISSN : -     EISSN : 2685998X     DOI : https://dx.doi.org/10.30865/json.v1i3.2092
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)
Articles 22 Documents
Search results for , issue "Vol. 3 No. 2 (2021): Desember 2021" : 22 Documents clear
Proyeksi Data dan Analisis Sentimen Penggunaan Vaksin di Kabupaten Indragiri Hulu Berbasis Machine Learning Ahmad Rizky Andriawan; Mustakim Mustakim
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3569

Abstract

Sentiment analysis is research that processed used computer that comes from opinion and emotion wich realized in shape of text. The method that used to analyze sentiment is using Text Mining used for mining the text in order to get comprehension about the important aspect. Text Mining done at social media Twitter. This research analyze public sentiment related with vaccination. Step of Preprocessing contains Crawling Data, Cleaning, Filtering, Stemming, TF-IDF, and labeling. Result from labeling and percentage calculation get percentage that Positive Sentiment is 29.17%, Negative Sentiment is 55.09% percentage, and Neutral is 15.74% percentage. Could be seen that Indonesian public still given many Negative Comments related with vaccination. Result of K-NN calculation with K-9 generate the accuracy is 84.53%.
Prediksi Status Penanganan Pasien Covid-19 dengan Algoritma Naïve Bayes Classifier di Provinsi Riau Dedi Pramana; Mustakim Mustakim
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3570

Abstract

Covid-19 is a new virus that emerged at the end of 2019 in Wuhan city, China.  This virus continues to grow until it spreads to various countries in the world.  As a result, there has been a large accumulation of Covid-19 patients in every hospital in every country affected by Covid-19.  Covid-19 patients receiving treatment in hospitals have different conditions and severity, this of course affects the different mechanism for handling patients.  Therefore, technological support is needed to help classify the treatment of patients so that they can be concentrated on patients who can be treated with isoman treatment or must be referred to hospital.  This research was conducted to build a model based on a dataset of patients infected with Covid-19 using the Naive Bayes Classifier algorithm.  The model built can predict the treatment status of patients based on age and gender who have the highest probability of being treated in an isoman way or having to be referred to hosspital. Data used is applied using Rapidminer with validation used is spill validation with the ratio of training data is 70% and test data is 30%.  The results of this research indicate classification using the Naive Bayes Classifier algorithm has a high level of accuracy in classifying patient status data, rately 83.33%.
Analisa Penerapan Metode Multi Attribute Utility Theory (MAUT) dengan Pembobotan Rank Order Centroid (ROC) Dalam Pemilihan Lokasi Strategis Coffeshop Milenial di Era New Normal Ade Ayunda Kusuma; Zaza Mutiara Arini; Uswatun Hasanah; Mesran Mesran, M.Kom
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3575

Abstract

Covid-19 is a type of Coronavirus that attacks and infects the human respiratory system. The Covid-19 pandemic has also hit Southeast Asia, including Indonesia. The impact of the pandemic has been felt by the Indonesian people, such as the weakening of the cultural, educational and economic sectors. Especially in the economic sector, Millennial Coffeshop owners are trying to get up in this New Normal era. However, the difficulty of choosing the right and strategic business location poses a serious problem for business owners. Therefore, a solution is needed in the form of an SPK that applies the MAUT method along with the use of ROC to generate weight values. The calculation of several data samples produces the best final utility value in determining the strategic location of the Millennial Coffeeshop, which is located in alternative A1 with the best final utility value of 0.8054.
Penerapan Metode OCRA dalam Menentukan Media Pembelajaran Online Terbaik di Masa Pandemi Covid-19 dengan Pembobotan ROC Dwina Pri Indini; Khairunnisa Khairunnisa; Nola Dita Puspa; Tesa Aurelia Siregar; Mesran Mesran, M.Kom
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3576

Abstract

Right now the Covid-19 pandemic is very troubling where people must comply with regulations that have been made by the government, namely reducing non-essential activities outside the home so that there are no crowds, at this time many educational institutions are closed for face-to-face learning activities and then online or online learning is applied. online. In this online learning there are many media that can be used so that it makes teachers and students confused to determine which media is the most appropriate to use. This study uses a Decision Support System as a system in selecting which online learning media is the best. In determining the best online learning media, it must meet criteria such as User Capacity, Visual Interaction, Friendly Features, Application Features and Internet Data Usage. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the ROC (Rank Order Centroid) and OCRA (Operational Competitiveness Rating Analysis) methods that can generate weight values and preference values from the first ranked alternative. So that the best online learning media during the Covid-19 pandemic lies in the A3 alternative, namely Moodle with a value of 2,296.
Implementasi Kontrol Proporsional Integral Derivative (PID) pada Robot Pengambil Gambar Untuk Keperluan Vlog Fitra Sulung Syahriyar; Wahyu Setyo Pambudi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3579

Abstract

Video Blogs or Vlogs are a new way to present material interactively. During making videos, vloggers often find it challenging to carry out their activities in recording or taking videos themselves, so they need a camera operator. The presence of automation technology with a combination of computer vision can provide vloggers to produce work. The answer resulting from the variety of these two technologies is robot technology with a facial recognition system and can assist vlogger activities. Based on the test results, the automatic image-taking robot has face detection capabilities with a success rate of 80% for ten trials. This robot also can automatically maintain a distance from the vlogger, where the overall test results have a 90% success rate.
Perancangan Aplikasi Game Maze Escape Dengan Menerapkan Algoritma Greedy Untuk Pencarian Jalur Terpendek Nanda Sopianto; Mesran Mesran
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3585

Abstract

In modern times games that require extensive space and spend a lot of resources such as the maze game are starting to disappear. But the development of technology made games such as maze escape develop in the form of computer simulations. The purpose of this study is to design a game that can be played to fill free time and eliminate boredom and simultaneously train the player's brain. To determine the most optimal route, the route that has the shortest distance is using the Greedy algorithm approach. The Greedy algorithm is an algorithm that solves problems step by step and is one method in optimization problems. The approach used in the Greedy algorithm is to make a choice that looks to provide the best gain, namely by making a choice of local optimum at each step and is expected to get a global optimum solution.
Penerapan Algoritma Simplified Memory Bounded A* Pada Permainan Hangman Indonesia Muhammad Yusuf Batubara; Mesran Mesran; Yasir Hasan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3586

Abstract

Learning Games are additional tools or facilities used to entertain and add insight to users. The use of learning games or education games is very suitable for children, teenagers and parents even at all ages. This educational game is very easy to reach and use because it is already in everyone's grasp, Hangman Game Mobile is a word game that aims to guess what the questioners mean by guessing the letters one by one so that they are arranged into a word. The Hangman game used to be only made from a piece of paper or on the blackboard in front of the students and asked the answer one by one to the students (students) so that with this activity there was a hangman game. Hangman game based on Android smartphone from several components that can be run inside the application such as letters, actors, hanging poles, ropes, answer columns. This research resulted in a Hangman game application aimed at Learning which was applied on an Android samartpone device and to be developed at a later date.
Analisa Perancangan Sistem Pengelolaan Data UMKM berdasarkan Business Intelligence Development Model Framework Ardhin Primadewi; Tuessi Ari Purnomo; Dimas Sasongko
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3587

Abstract

Increasing data and information needs for Micro, Small and Medium Enterprises (MSMEs) is the basis for MSME actors to expand. The data and information needed are in the form of strategic data from the collective results of similar SMEs in a certain scope to determine market conditions objectively. This research analyzes in-depth using the BIDM Framework which helps planning long-term system development that is not limited only as a data repository and report reporting, but also to predictive analytics, data mining, trend analysis, data visualization, dynamic reports and others. The BIDM framework focuses more on the BI-based system development plan instead of BI implementation by taking into account 6 characteristics. The results of the BIDM Framework Analysis are adjusted to the conditions of MSMEs in Magelang disstrict is then prioritized using value chain analysis. The final result is a system menu design recommendation and database design that pays attention to entities and attributes that match the needs of business intelligence analysis.
Pengembangan Sistem Informasi Pengelolaan Keuangan Bagi Usaha Mikro Kecil dan Menengah (UMKM) Ivan Faizal; Indra Nanda; Deny Ariestiandy; Tia Ernawati
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3590

Abstract

Accounting plays an important role in the progress of MSMEs. However, so far, there are still many MSMEs who do not understand the importance of accounting implemented in financial reports, even though this is very beneficial for the business development of MSME actors. The development of an Accounting Information System for MSMEs is considered feasible and important to do because the accounting information system will add value to the MSME actors. This study focuses on the development of a financial management information system for MSMEs which was built by applying the Extreme Programming (XP) method. This financial management information system for MSMEs has been successfully developed with features for managing account data, managing general journals, displaying ledgers and trial balances. The features in this system can help MSME actors in recording and managing finances. Based on black box testing, the resulting system is in accordance with user needs with a functionality test value of 100%.
Pengembangan Sistem Pelayanan Publik Melalui Sistem Administrasi Kependudukan Menggunakan Metode Extreme Programming Juli Budi Satya; Lilik Suhery; Alfry Aristo Jansen Sinlae; Uliyatunisa Uliyatunisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3592

Abstract

Population administration is a public service system for the community in providing services regarding population needs. The problem that often occurs is related to data storage. Files sent by the public to take care of administration in the form of hard copies are vulnerable to loss and damage if they are not stored and archived properly. In addition, the public cannot monitor the extent to which the files they submit, whether their files are appropriate or not or complete or not. This study aims to develop a public service system through a population administration system using the development of an extreme programming (XP) system. XP is used because it is able to develop systems with needs that change very quickly. The population administration system that is managed is the administration related to births, deaths and changing of domiciles. The system was developed web-based, so that it can be used anywhere and anytime. In addition, the system developed is equipped with file monitoring facilities, so that the public can easily find out from the files or data submitted. The resulting application is in the good category, because based on usability testing shows an average value of 88% in the good category, so the application is feasible to use and as needed.

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