cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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)
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
 14   15   16   17   18 
Perancangan Sistem Informasi E-Catalogue Berbasis Website Menggunakan Metode Waterfall Jonatan Maruli Butarbutar; Darmansah Darmansah; Rona Nisa Sofia Amriza
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.v3i4.4165

Abstract

The problem faced by CV. Ramos Ponsel is that competitors have just started the same business as Cv. Ramos Ponsel, so that it has the impact of decreasing consumers in meeting their needs at Cv. Ramos Ponsel. With the situation for the store to innovate in customer service. The innovations in question are, among others, digitizing business processes based on a website, one of which is using an electronic catalog. The purpose of this research is to produce an E-Catalogue that can support the business processes of CV. Ramos Ponsel. The method used in this research is the Waterfall method. Waterfall every step of the work process is completed first to move to the next stage. The Waterfall Stage itself consists of Planning, Analysis, Design, Implementation, Testing, and Maintenance/Maintenance. With the existence of an e-catalogue that is designed to have superior value than e-catalogue owned by other institutions, by adding features that benefit sellers and buyers in the business process. The result of this research is to produce an E-Catalog information system on Cv. Ramos Mobile based web site.
Rancangan Sistem Informasi Pada Kasir Berbasis Web Zahra Rashifah; Eko Setia Budi
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.v3i4.4241

Abstract

11eleven is a business engaged in the culinary field of beverages that offer products made from Matcha and Milk Tea, which is located in Ciputat, South Tangerang City. The operational activities of cashier transactions carried out at this store are still carried out in a long time or conventional way. In the transaction process it is written on a piece of note paper, so that for making a transaction paper paper report is collected then the writing of the report is recorded one by one. The use of this manual system can certainly conclude a lot of problems, such as wrong in providing prices, wrong in the calculation of payments, writing on unclear orders, causing services to buyers to be ineffective and efficient, then loss of sales transactions, damage in the memorandum sales, errors in inputting sales reports, so that reporting is inefficient and effective. From these problems, a computerized information system is needed to solve the problem, namely by implementing a web -based cashier information system. The purpose of making this web -based cashier information system is to facilitate the sales activities as well as operational activities at the 11eleven store. The prototype method is the method used in the creation of this web -based cashier information system. Making this website the author also uses Codeigniter framework and boostrap. With the results of the web -based cashier information system, it is expected to provide convenience in carrying out the assistance activities at the 11eleven store.
Implementasi Algoritma Apriori Dalam Keterkaitan Data Pada Kelangkaan Minyak Goreng Ulvah Ulvah; Aishiyah Saputri Laswi
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.v3i4.4103

Abstract

The shortage of edible oil has caused the price of oil to be significantly higher than normal, which has led to higher oil prices even in certain regions where there are no edible oil inventories at all (empty warehouses). Due to the phenomenon of cooking oil shortages, many traders sell at high prices using correlation techniques, but they are not suitable. Given so many incidents where traders were selling cooking oil with related technology but not suited to consumers' needs, the authors became interested in analyzing the data connections by applying the a priori algorithm so that the goods paired with the cooking oil were not more useless and can be beneficial to buyers. Transaction data as a reference by a correlation by setting a cut-off value of 15% resulting from scanned transaction data, when buying cooking oil, often from 210 samples at the same time, and the samples taken have too good a number to be used as a correlation to become as they have a leverage value > 1.00 so that they can be used as a reference to arrange the cooking oil supply packaging along with other items.
Implementasi Metode Design Sprint dalam Perancangan UI/UX Aplikasi Golek Kost Berbasis Mobile Nur Ifani Khoirunisa; 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.v3i4.4262

Abstract

The city of Yogyakarta is known as the City of Students or the City of Education because of the many educational centers that stand there. This has made students from outside the region interested in studying in Yogyakarta. The large number of students studying in Yogyakarta makes many people in Yogyakarta open boarding and renting businesses which is a necessity for students from outside the region who come to take their education. The difficulty in finding a boarding house or renting a place that fits the needs is the main obstacle faced due to the lack of information received. In the current era, the digitization process has developed rapidly because most people spend their time holding smartphones, so many mobile-based applications can help with all their needs and needs. One of them is a boarding house search application, e-commerce, and delivery services. However, these three service features are not yet in one application. This makes Golek Kost want to create a mobile-based application that consists of these three features, to make it easier for students to search for boarding houses, boarding furniture, and transportation/moving services. The method used in designing the Golek Kost application is the design sprint. In this method there are four stages, namely: understanding (understanding), divergent (developing), decide (decide), prototype (create a prototype), and validate (validation). The final result of this research is the validation of the prototype design from the UI and UX side, after getting feedback from potential users. Making this prototype design will be made using Figma tools.
Sistem Informasi Geografis Pemetaan Kawasan Permukiman Kumuh Kota Pontianak Berbasis Website Dandi Suagira Buana; Renny Puspita Sari; Syahru Rahmayuda
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.v3i4.4206

Abstract

The increase in population every year triggers various problems including the accumulation of population in one particular area which can potentially lead to new slum areas. Information regarding the distribution of slum settlements has not been published, so people do not know the area they will be increasing or including the slum area. In overcoming these problems, a Geographic Information System (GIS) was designed to digitally map the distribution of slum areas using calculations based on PUPR Ministerial Regulation No. 14 of 2018 concerning Prevention and Quality Improvement of Slum Housing and Slum Settlements. The determination was calculated using 7 indicators and 16 criteria and resulted in 3 classifications of slum level consisting of light slums, medium slums, and heavy slums. The final result of this research is expected to help the relevant government and the community in knowing the distribution area of slums based on WebGIS. Black-box testing is used to test the functionality of the system that was built and get good results with details of all functions running and following the design stage. Testing the system interface was carried out using an online questionnaire filled out by 38 respondents, resulting in a percentage of 87.5% calculated using a Likert scale so that it was categorized as excellent.
Klasifikasi Citra Daging Babi dan Daging Sapi Menggunakan Deep Learning Arsitektur ResNet-50 dengan Augmentasi Citra Sarah Lasniari; Jasril Jasril; Suwanto Sanjaya; Febi Yanto; Muhammad Affandes
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.v3i4.4167

Abstract

Beef is an example of an animal protein-rich food. The consumption of meat in Indonesia is increasing year after year, in tandem with the country's growing population. Many traders purposefully combine beef and pork in order to maximize profits. With the naked eye, it's difficult to tell the difference between pork and beef. In Muslim-majority countries, the assurance of halal meat is crucial. This study uses Deep Learning with the Convolutional Neural Network (CNN) method and ResNet-50 with data augmentation to classify images of beef and pork. The original meat picture databases contain 457 images, however following the data augmentation process, there are 2742 images in total, divided into three classes. The distribution of training and test data is 90 percent:10 percent in the comparison test scenario between the two original data schemes and supplemented data. With an average of 87.64 % accuracy, 87.59 % recall, and 90.90 % precision, the Confusion Matrix is the best classification performance model. There was no evidence of overfitting based on observations from the visualization of the training and testing process.
Implementasi Algoritma K-Means Clustering Dalam Penilaian Kedisiplinan Siswa Qorik Indah Mawarni; Eko Setia Budi
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.v3i4.4242

Abstract

Education has a very important role for students, not just potential but noble character in the form of discipline, therefore it is necessary to group each school based on student discipline. Implementing a clustering system with the K-means method which is used to classify and determine the value of student discipline which produces a clustering output of student discipline that is beneficial for the school to prevent students from misbehaving early on. Analysis of data needs used in this study in the form of primary data obtained from a questionnaire given to students. The attributes used are presence, neatness and behavior. Student discipline assessment can be carried out using the k-means clustering method. This study applies the K-Means clustering algorithm method using Microsoft Excel 2013 and Orange which performs the data mining process. The results of the research implementation of the k-means clustering algorithm in student disciplines are divided into three clusters. From a sample of 133 students, 41 students were included in cluster one (C1), then 33 students were included in the second cluster (C2), and 59 students were included in cluster three (C3). The results of grouping the level of student discipline using the k-means method can be used as a reference or assessment of the discipline of each student. 
Penerapan Deep Learning Menggunakan VGG-16 untuk Klasifikasi Citra Glioma Annisa Putri; Benny Sukma Negara; Suwanto Sanjaya
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.v3i4.4122

Abstract

One of the types of brain tumors in humans is glioma. Glioma is considered to be the most common type of primary brain tumor in adults. To determine the follow-up action that will be carried out by the doctor, the level of glioma needs to be known first. Glioma is divided into 3 grades. To be able to distinguish grades from gliomas, a classification process can be carried out using deep learning with CNN architecture. Glioma grade classification applies Histogram Equalization (HE) preprocessing. The training model uses CNN with the VGG-16 architecture. data using split data with a comparison of 70% training 30% testing, 80% training 20% testing, and 90% training 10% testing. The results of this study using original data have better results compared to data using HE preprocessing on batch size 16 testing and split data 90% training 10% testing.
Implementasi Metode Lean Startup dalam Pengembangan Ide Bisnis Aplikasi Golek Kost Berbasis Mobile Kafita Wardhahani; 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.v3i4.4261

Abstract

The need for housing (boarding houses) for students is a basic need and becomes a significant consideration when deciding to study in a particular city. So far, students have obtained information related to boarding houses manually to meet the needs associated with the necessary furniture and in carrying out the moving process. With everything still manual, it takes longer and is more difficult to find a boarding house that fits the student’s needs. To help solve existing problems, a mobile-based application called GOLEK KOST was made. The application is a form of digital innovation to make it easier for students to obtain information related to boarding houses, including prices, locations and boarding facilities, buying, and selling furniture, transportation services, or moving services in the Yogyakarta area. Developing this application business idea applies the Lean Startup method, which consists of three stages: Market Validation, Product Validation, and Business Validation. This method focuses on developing applications based on feedback obtained from potential users so that later the resulting application will meet the needs of potential users. In the product validation, the results obtained are 37% for the boarding information feature, 33.3% for the transportation service feature, and 29.6% for the furniture sale and purchase quality.
Sistem Monitoring Deteksi Dini Kebakaran Hutan Berbasis Multiplatform Di Kabupaten Siak Menggunakan SDLC Prototyping Diki Arisandi; Liza Trisnawati; Amir Syamsuadi
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.v3i4.4136

Abstract

Forest fires can occur by natural or human factors. The Siak district is one of the areas in Riau Province which has a forest with peat soil, so it has high fertility. However, in recent years, many abandoned peatlands have been dry due to the behavior of locals and extreme weather, which has caused the peatlands prone to fire. This research collaborates with BPBD Siak as a user to deliver an early detection system for forest fires. The system is developed by using the SDLC prototyping model, which emphasizes the active role of the user to be involved. The source of peatland information is from branch sensors and parent sensors which periodically send information regarding the status of monitored land to the cloud server for storage purposes. The cloud server is a source of information for the three platforms that can be leveraged for users to monitor the status of peatlands both in real-time and previous conditions, namely web applications, mobile applications, and LED boards. Based on the performed tests, all components of the system worked well and the three platforms were successful in displaying information on the real-time condition of the monitored peatlands.

Page 16 of 50 | Total Record : 492

 14   15   16   17   18 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol. 7 No. 3 (2026): Maret 2026 Vol. 7 No. 2 (2025): Desember 2025 Vol. 7 No. 1 (2025): September 2025 Vol 6, No 4 (2025): Juni 2025 Vol. 6 No. 4 (2025): Juni 2025 Vol 6, No 3 (2025): Maret 2025 Vol. 6 No. 3 (2025): Maret 2025 Vol. 6 No. 2 (2024): Desember 2024 Vol 6, No 2 (2024): Desember 2024 Vol 6, No 1 (2024): September 2024 Vol. 6 No. 1 (2024): September 2024 Vol 5, No 3 (2024): Maret 2024 Vol. 5 No. 3 (2024): Maret 2024 Vol. 5 No. 2 (2023): Desember 2023 Vol 5, No 1 (2023): September 2023 Vol 4, No 4 (2023): Juni 2023 Vol 4, No 3 (2023): Maret 2023 Vol 4, No 2 (2022): Desember 2022 Vol 4, No 1 (2022): September 2022 Vol 3, No 4 (2022): Juni 2022 Vol 3, No 3 (2022): Maret 2022 Vol 3, No 2 (2021): Desember 2021 Vol 3, No 1 (2021): September 2021 Vol 2, No 3 (2021): Mei 2021 Vol 2, No 2 (2021): Januari 2021 Vol 2, No 1 (2020): September 2020 Vol 1, No 3 (2020): Mei 2020 Vol 1, No 2 (2020): Januari 2020 Vol 1, No 1 (2019): September 2019 More Issue