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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 492 Documents
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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 : STMIK 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.
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 : STMIK 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%.
Perencanaan Strategis Pada Sistem Informasi dengan Menggunakan Metode Ward and Peppard Brian Farrel Hermanto; Andeka Rocky Tanaamah
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 2 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3634

Abstract

CV. Bumi Printing is a company that focuses on printing. Currently my CV. Bumi Printing does not yet have an accurate IS/IT infrastructure, so it does not use information system applications and information technology, which affects business development and has indirect effects that cause inefficiency. Therefore, strategic planning of information systems is carried out within the framework of Ward and Peppard. There are several analyzes and observations that must be made to properly analyze the strategic plan. Specifically for internal/external environment analysis using SWOT and IS/IT internal/external business environment analysis using IS/IT value chain. Thus, the information system application portfolio diagram using Ward and Peppard McFarlan which is expected to have a good impact, among others, inventory information systems, financial information systems, competitor inventory management information systems, and attendance information systems, emerges strategically. Bumi printing and printing can solve problems related to company data collection which is still done manually
Pengaruh Tingkat Kepuasan Pengguna Lulusan (Stakeholder) Terhadap Kualitas Lulusan Pada Universitas Teknologi Sumbawa Nora Dery Sofya; Mohammad Taufan Asri Zaen; Yuliadi Yuliadi; Sansul Yasmi
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 1 (2021): September 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i1.3558

Abstract

Sumbawa University of Technology (UTS) is an educational institution that produces outputs that match work needs. The curriculum is to develop a number of study programs at UTS, adapted to the developments and demands of today's world of work. This research was conducted to determine the level of satisfaction of Stakeholders on the quality of graduates. Research is using a descriptive method with a quantitative approach. Analysis data method uses the Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA). Respondents in this study were graduate users (Stakeholders) with a total of 100 respondents. The results of this study, that the quality of graduates from UTS is very good, even though they work not in their field of expertise (non-academic). Even though the quality of the graduates is in the category very good, there are several items/attributes that need to considere. In meeting the satisfaction of Stakeholders, namely Point number 9 regarding the ability of graduates to write activity reports. , such as research and projects. The second point, number 14 is the ability of graduates to use technology related to their field of science. Item number 15 is the graduate's ability to use computers.
Identifikasi Ujaran Kebencian Multilabel Pada Teks Twitter Berbahasa Indonesia Menggunakan Convolution Neural Network Aditya Perwira Joan Dwitama; Syarif Hidayat
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 2 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3610

Abstract

There has been a significant increase in communication activities between internet users in online media due to the increase in social media users. For instance, Twitter users may send messages via their tweets. However, tweets can also contain negative meanings. Therefore, it deserves special attention as it has the potential to contain hate speech. Even the government deems it necessary to publish regulations to deal with hate speech cases such as the Information and Electronic Transactions Law (ITE Law) issued in 2018 Article 28 paragraph 2 of the Hate Speech. Machine Learning (ML) is one of the techniques that can be used in identifying patterns. There are various types of data that ML can be applied to, including text (known as Text Analytic). Previous research has used the Support Vector Machine (SVM) method to identify hate speech on Twitter text with more than one label (multilabel). The purpose of this study was to identify hate speech on Twitter with a label of more than one (multilabel) via Convolutional Neural Network (CNN). The study obtained the best CNN model with an accuracy of 98.76% from the multi-label dataset on hate speech in Indonesian texts
Analisis K-Nearest Neighbour Dalam Mendiagnosa Grandemultipara Asyahri Hadi Nasyuha; Muhammad Zunaidi; Purwadi Purwadi
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4120

Abstract

Grandemultipara are women who give birth more than four times usually experience complications in pregnancy and childbirth. Grandemultipara or better known as mothers who give birth more than 4 times can cause various pregnancy complications that will be experienced by the mother, one of which is bleeding. Grandemultipara pregnancies are included in high-risk pregnancies, because complications can occur either during pregnancy or childbirth. The K-NN algorithm can be applied in the process of diagnosing human diseases, so several references are taken including those used in diagnosing several diseases. With the K-NN algorithm that will be used in this study, where data on symptoms of Grandemultipara disease obtained from an expert is processed according to the algorithm to produce accurate diagnostic information for Grandemultipara disease. Analysis of the K-NN method is able to provide information and solutions in solving the problems of Grandemultipara disease.
Implementasi Bcrypt dengan SHA-256 pada Password Pengguna Aplikasi Golek Kost Rynaldy Shulton Giffary; Erika Ramadhani
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4285

Abstract

Brute force is the breaking of passwords in the SHA¬-256 algorithm, so that systems using this algorithm are easy to retrieve important data. In addition there is MD5 which can cause collusion. However, there is an algorithm that can withstand brute force attacks, namely bcrypt. Personal data security is a top priority on every system. Brute force is a cyber crime that needs to be watched out for. The purpose of this study is to examine the bcrypt algorithm used as a password in order to be able to survive brute force attacks. Because bcrypt has a cost and a salt value
Sistem Prediksi Pertumbuhan Ekonomi Kabupaten Musi Rawas, Kabupaten Musi Rawas Utara Dan Kota Lubuklinggau Dengan Metode Regresi Linier Andri Anto Tri S; Armanto Armanto; Harma Oktafia Lingga Wijaya; Wisdalia Maya Sari
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4198

Abstract

The economic condition of a region in each period can increase or decrease by looking at changes in goods and services. An increase in economic activity is a process of changing economic conditions that occur in an area on an ongoing basis to get to a better state for a certain period of time. Economic growth is a benchmark in achieving the development of economic conditions in a region so that it has an impact on increasing people's welfare. South Sumatra's economic growth in the first quarter of 2021 improved compared to the previous quarter. Similar to economic growth in South Sumatra Province, the districts and cities in it (Musi Rawas Regency, North Musi Rawas and Lubuklinggau City) also experienced ups and downs of economic growth. With the current ups and downs of economic growth, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need accurate information about the picture of economic growth in the future, this is intended to be able to prepare various policies or actions so that the level of the economy in Musi Rawas Regency, Musi North Rawas and Lubuklinggau City can be increased. Based on this problem, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need a prediction system in order to see a picture of economic growth in the future. The purpose of this study is to design a prediction system that can predict the rate of economic growth in Musi Rawas Regency, North Musi Rawas and Lubuklinggau City. The method used in the prediction system is a simple linear regression method, the use of a simple linear regression method in this study due to the limited time of the study and used to determine the direction of the relationship between the independent variable and the dependent variable, whether it has a positive or negative relationship and to predict the value of the dependent variable if the value of the independent variable increases or decreases.
Sistem Penentuan Keputusan Seleksi Pemilihan Asisten Dosen Sistem Informasi Dengan Penerapan Metode TOPSIS Renny Puspita Sari; Muhammad Aidil Rifaldi
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4184

Abstract

The selected lecturer assistant can help the lecturer as a liaison with students so that the lecturer assistant can affect the quality of student learning outcomes. It's just that the acceptance of teaching assistants that were previously less effective and efficient because they still use manual rules and procedures, so they can spend time in their determination, besides that the assessment is still subjective or still looks at the closest family to one candidate in the acceptance of teaching assistants and there are no requirements The right specialty in determining lecturer assistants, causing problems, namely difficulties in determining a suitable lecturer assistant and having skills in his field, In making the wrong decision it results in distrust of the accepted lecturer assistant so that it can have an impact on decreasing students' understanding and skills of the subject. Therefore, a system is needed to solve a problem by providing decision making, so that it can help decision makers in determining the graduation of the right lecturer assistant. The TOPSIS method is applied by the author in this journal, because the TOPSIS method is able to overcome MADM problems so it is very practical in completing a decision, besides that the alternative TOPSIS method selected is obtained from the calculation process and after that ranking is carried out, so that from the process the best alternative is obtained from criteria that have been determined, so that it can be used as a solution in decision making. Because the system takes the value from the best criteria, the accuracy obtained in this system exceeds 90%.
Implementasi Algoritma K-Medoids Dengan Evaluasi Davies-Bouldin-Index Untuk Klasterisasi Harapan Hidup Pasca Operasi Pada Pasien Penderita Kanker Paru-Paru Ike Wahyu Septiani; Abd. Charis Fauzan; Muhamat Maariful Huda
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4055

Abstract

Lung Cancer is a disease in which there are cells that grow in the lungs by a collection of carcionogens uncontrollably. Lung Cancer can be treated with surgery, chemotherapy and radiotherapy. Early treatment that needs to be done to reduce the mortality rate in patients with lung cancer after performing thoracic surgery, by collecting data from each patients regarding this information causes a new problem, including the data obtained including high-dimensional data and has many attributes so that it can produce less accurate information. So it is necessary to calculate data mining clustering. In general, the methods for performing clustering are grouped into four parts, namely partitioning, hierarchial, grid-based and model-based. This study used the k-medoids algorithm because it is able to handle data sensitive to outliers and has high accuracy and efficiency in processing large numbers objects. The results of the k-medoids calculation were evaluated using the euclidean distance Davies Bouldin Index which resulted in a DBI value of 0.93543 indicating that the k-medoids algoritm achieves good grouping because the final result of the calculation is less than 0. From the results of the evaluation using DBI it shows that the k-medoids algorithm has an average accumulation average at the time of execution is quite fast and the cluster quality is good. 

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