cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Irpan Adiputra pardosi
Contact Email
irpan@mikroskil.ac.id
Phone
+6282251583783
Journal Mail Official
sinkron@polgan.ac.id
Editorial Address
Jl. Veteran No. 194 Pasar VI Manunggal,
Location
Kota medan,
Sumatera utara
INDONESIA
Sinkron : Jurnal dan Penelitian Teknik Informatika
Published by Politeknik Ganesha Medan
ISSN : 2541044X     EISSN : 25412019     DOI : 10.33395/sinkron.v8i3.12656
Core Subject : Science,
Computer Science & IT
Scope of SinkrOns Scientific Discussion 1. Machine Learning 2. Cryptography 3. Steganography 4. Digital Image Processing 5. Networking 6. Security 7. Algorithm and Programming 8. Computer Vision 9. Troubleshooting 10. Internet and E-Commerce 11. Artificial Intelligence 12. Data Mining 13. Artificial Neural Network 14. Fuzzy Logic 15. Robotic
Arjuna Subject : Ilmu Komputer (semua kategori) - Visi Komputer dan Pengenalan Pola
Articles 1,196 Documents
 47   48   49   50   51 
Introduction to the Heritage Building Medan City Using Augmented Reality Ikhwan, Ali; Buyung Nasution, Adnan
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11878

Abstract

The city of Medan is the largest city in North Sumatra and has a variety of ethnicities and diverse cultures, one of which is the Malay ethnic deli. The cultural identity of the Deli Malays in Medan is inseparable from the relics of the Malay Deli Sultanate, one of which is the heritage of the building. The lack of information on the relics of the building and the ignorance of the public about this information so that people are less familiar with the relics of the Malay Deli Sultanate building. Therefore, we need a mobile application that can help the public to find out information about the relics of the Malay sultanate and the shape of the building in 3D so that people can see 360 ​​degrees of the architectural animation of the heritage which is equipped with the history of the building's legacy. Augmented Reality (AR) is a method between the virtual world in the form of images (2D) with 3D animation then projected in real time and so on. This application uses the Markerless Augmented Reality (User Defined Target) method, which is making the marker formation by selecting the target selected by the user using a cellphone camera. The stages in this application include design design, 3D object modeling to application development. Based on the research above, it can be concluded that the application made can provide information about the relics of the Malay Deli Sultanate building. It is hoped that in the future objects from the Malay deli sultanate building will be added as well as displaying the interior and exterior supporting the heritage buildings such as fences, gardens, and others.
Performance Comparison of Ultrasonic Sensor Accuracy in Measuring Distance Sze, Edward; Hindarto, Djarot; Wirayasa, I Ketut Adi; Haryono, Haryono
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11883

Abstract

Digital technology is now very sophisticated. Its use is widely applied in all areas of human life. Starting from waking up, human activities and others always use technology. In carrying out their activities, modern humans now almost all use vehicles as a mode of transportation. Today's vehicles use a variety of sensors as a sixth sense. The results of detection using sensors on the vehicle are usually displayed on the dashboard of the vehicle. Modern humans currently use sensors to complete their needs. Besides that, the internet of things technology is growing rapidly in its role and development to support the needs of modern humans. Micro-controller technology is also experiencing rapid and massive development. One of the most common and most popularly used microcontrollers is Arduino. In many streets in Indonesia, people still use vehicles not equipped with many sensors. One of them is a simple parking sensor that many old vehicles don't have. Parking sensor problems are needed at the time of parking so that the vehicle that will be parked does not hit other objects or vehicles. There are many types of ultrasonic sensors. The purpose of this research is to make a prototype ultrasonic sensor that is applied to vehicles and compare some of the most accurate ultrasonic sensors in measuring the distance between the vehicle and the object being measured.
Performance of Deep Learning Inception Model and MobileNet Model on Gender Prediction Through Eye Image Listio, Syntia Widyayuningtias Putri
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11887

Abstract

Convolutional neural network (CNN) is one of the neural networks used in image data. CNN has a good ability to detect objects in an image. This study discusses the comparison of two deep learning models based on convolutional neural network, namely the Inception-V3 method and the MobileNet method. Both algorithms are analyzed fairly on gender classification using eye images. There have been many research completions that have conducted studies on gender classification based on faces, but gender classification based on eyes has many challenges. This gender classification is grouped into two classes, namely male and female. This study aims to build a gender classification model from eye image. The processes in this research include selecting the dataset, preprocessing the data, dividing the data which is divided into training data and test data, modeling, and evaluating the performance of the model. This study uses a public dataset, where the data contains a total of 2,681 images consisting of 1251 male eyes and 1430 female eyes. This study concludes that gender classification using eye image using the Inception-V3 method is better than the MobileNet method. This is obtained based on the accuracy value generated by the Inception-V3 method which is higher than the MobileNet-V2 method which obtains an accuracy of 91.82%.
Automatic Plant Watering System Based on Air Temperature and Soil Humidity Using the Fuzzy Sugeno Method Furqan, Mhd; Lubis, Solly Aryza; Harahap, Rosa Linda
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11893

Abstract

Plants need water to grow well, so watering must follow the plant's needs. Parameters that affect the process of watering plants are air temperature and soil moisture, thus, we need a control system that can make decisions in the form of watering time to meet plant water needs according to their needs, namely an automatic watering system. Fuzzy method can be used for human-like decision making in a control system. This study uses the Sugeno fuzzy method which is integrated into the Microcontroller as the controller. Testing of this system is carried out on eggplant plants which are regulated based on how long the watering time is so that the air temperature and soil moisture are following the plant's needs. The test resulted that the effective watering time interval so that the eggplant soil moisture was maintained at 40-60% was 21 seconds. It can be concluded that the fuzzy inference embedded in the design has been able to overcome the problem of watering eggplant plants, where the test shows that after the watering process, the soil moisture value can be maintained at an average value of 55% so that the soil moisture is following the needs of the plant.
Usability Testing on the Simponik Website using the System Usability Scale (SUS) Saputra, Deni; Ardiyan Syah, Edo; Darnis, Febriyanti
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11916

Abstract

SIMPONIK is one of the websites developed by the Furniture and Wood Processing Industry Polytechnic to answer the challenges during online learning due to covid 19 and the large number of guests visiting because it is located in an Industrial Estate. To improve the website's service and user experience, there must be testing of the website's usability. The purpose of this study is to test the usability of the SIMPONIK website as a basis for improving the appearance and services available on the website. This study uses the System Usability Scale (SUS) method by distributing questionnaires to 100 respondents. From the results of this study, the SUS score was 76,025, which means the SUS category is acceptable (71-100). Although the results are categorized as acceptable, there must be improvements must be made, especially in terms of practicality and convenience for users.
Automation of Two Ubuntu Servers with Ansible and Telegram as Notifications Wibowo, Gading Haryono; Widiasari, Indrastanti Ratna
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11856

Abstract

The purpose of this study was to determine the application of the server configuration automation system using Ansible tools on Ubuntu Server. This study describes a descriptive qualitative research that examines a problem based on what is observed through certain media. The stages of research carried out in designing Automation of Two Ubuntu Servers with Ansible and Telegram as Notifications. The results of this study display two execution results, namely the status of Success and Ended. Ended state is caused by unreacable or unconnected host. The suggestion for the further development of this research is that the application of the automation system can also be carried out on the Windows Server operating system, not only on the Ubuntu Server.
ANALYSIS OF COVID-19 GROWTH TRENDS THROUGH DATA MINING APPROACH AS DECISION SUPPORT Abas, Mohamad Ilyas; Ibrahim, Irawan; Syahrial, Syahrial; Lamusu, Rizal; Baderan, Umar Sako; Kango, Riklan
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11861

Abstract

This study aims to analyze the growth trend of covid-19 using prediction algorithms in data mining for covid-19 data throughout Indonesia. This can be used as a decision support to analyze several government policies towards regulatory intervention so far. The method used is the best prediction method in time series data, including Neural Network, SVM, Linear Regression, K-Neirest Neighborn and optimizes it with optimization algorithms. This research is focused on the application of these applications. It is hoped that this research will produce an analysis of the growth trend of Covid cases every day, in addition to its contribution so that it can assist the government in determining the best policy direction and also as an education to the public. in addition, the research will contribute to science in the field of predictive analysis by finding the best RMSE formulation. The results of this study show that Neural Network-Particle Swarm Optimization has the smallest Roort Mean Square Error which is 265,326, and the two Neural Network Genetic Algorithm are 266.801, Neural Network Forward Selection is 275,372 and Neural Network without optimization has the largest RMSE which is 297.204. These results can be used as a reference for the use of similar algorithms in time series data, both Covid-19 data and other data.
An Optimization Model for Hospital Emergency Room Based on Patient Growth and Capacity Management Widyasari, Rina; Cipta, Hendra; Nasution, Mutiah
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11890

Abstract

According to government regulations of the Republic of Indonesia through the Ministry of Health, the hospital is a health service institution that organizes full individual health services that provide inpatient, outpatient and emergency services. The hospital can function as a place of final service by handling patients according to their abilities. Therefore, the facilities, infrastructure, and resources of the emergency room must be adequate so that they are able to cope with patients. In the case of COVID-19, the number of needs and capacities coupled with the need for demand forecasting and capacity management, especially in the emergency room at the Malahayati Hospital Medan is very necessary. So in this study, the mathematical model was built that could provide a solution to the problem of the need for demand forecasting and capacity management in the emergency room. The mathematical model for the exact outcome is determined by the relationship that exists between states and events. In this study, it is assumed that all events have a fixed probability, without considering drug administration and waiting time. For this reason, the method used the Support Vector Machine (SVM) which is expected to provide an estimate of how many people and capacity management needs are needed in the emergency room when the COVID-19 pandemic occurs. The mathematical model that was built was then simulated in the final part of this study using sample data taken from the Malahayati Hospital Medan.
Max-Miner Method in Improving Food Sales Strategy Furqan, Mhd; Sriani, Sriani; Ningsih, Siti Alus
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11892

Abstract

Competition in the corporate world is currently very intense, especially in the retail business sector, one of which is the retail food business. Building a minimarket retail business, provides staple foods that are unavoidable using information technology to support the smooth sales of these products. The use of this information technology has become a necessity in the retail minimarket business world whose aim is to provide maximum profits and minimal losses with promotions that must be done in terms of providing the best service in a retail minimarket that must use the best business strategy, but sometimes the retail minimarket manager constrained in determining the sales strategy. One of the factors is the difficulty of producing an analysis related to the products sold. Therefore we need an analysis of the application of data mining so that product sales at retail minimarkets are increasing and service to consumers is getting better. In this design data mining and algorithms are used, namely market basket analysis and Max-Miner. By applying the Max-Miner method in the data mining process for sales strategies at retail minimarkets, it will produce rule associations that will become product recommendations that will provide a decision in sales strategy for the mini market
Comparison of the Sentiment Analysis Model's Code Complexity and Processing Time: Sentiment analysis for tolerance and religious moderation in Indonesia: A Case Study Kartika, Luh Gede Surya; Utama, Putu Kussa Laksana; Budiastawa, I Dewa Gede; Rinartha, Komang
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11894

Abstract

Text processing, which includes sentiment analysis, obviously demands a lot of resources. The extent to which resources are used to promote environmental conservation is directly impacted by code complexity or computational time. Twitter users' responses on the Indonesian Language of religious moderation and tolerance are used to test the model. The phases of doing the research include determining the research's needs, gathering data, text preprocessing (case folding, tokenizing, stopword removal, and stemming), word weighting with TF/IDF, and classification with Multinomial Naive Bayes (MNB) and Support Vector Machine (SVM), validation, and the last step was calculation of the code complexity and computation time. The validation results showed that the performance of the two models was still low, with an average accuracy of 75.5%. Based on computation time, SVM has a faster computational time than MNB. However, when compared in terms of the code complexity, the Cyclomatic Complexity in both models was the same because both models used existing libraries in Python Interpreter, and the complexity of the libraries cannot be calculated directly. Based on the Raw Metrics, it can be seen that MNB and SVM not significantly different in LOC, LLOC, and SLOC. It was evident that SVM has a greater Halstead Complexity than SVM in all measures when comparing the program code of MNB and SVM. Particularly on programming effort and volume metrics, SVM required more bits to run than an MNB program, and it also required more mental effort to convert a prepared SVM algorithm into a program than an MNB.

Page 49 of 120 | Total Record : 1196

 47   48   49   50   51 

Filter by Year

2016 2025


Reset
Filter By Issues
All Issue Vol. 9 No. 4 (2025): Articles Research October 2025 Vol. 9 No. 3 (2025): Article Research July 2025 Vol. 9 No. 2 (2025): Research Articles April 2025 Vol. 9 No. 1 (2025): Research Article, January 2025 Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024 Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024 Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024 Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024 Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023 Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023 Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023 Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022 Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022 Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022 Vol. 6 No. 1 (2021): Article Research Volume 6 Issue 1: January 2021 Vol. 5 No. 2 (2021): Article Research Volume 5 Number 2, April 2021 Vol. 5 No. 2B (2021): Article Research October 2021 Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020 Vol. 5 No. 1 (2020): Article Research, October 2020 Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019 Vol. 3 No. 2 (2019): SinkrOn Volume 3 Number 2, April 2019 Vol 3 No 2 (2019): SinkrOn Volume 3 Number 2, April 2019 Vol. 3 No. 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018 Vol 3 No 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018 Vol. 2 No. 2 (2018): SinkrOn Volume 2 Nomor 2 April 2018 Vol. 2 No. 1 (2017): SinkrOn Volume 2 Nomor 1 Oktober 2017 Vol. 1 No. 2 (2017): SinkrOn Volume 1 Nomor 2 April 2017 Vol. 1 No. 1 (2016): SinkrOn Oktober Volume 1 Edisi 1 Tahun 2016 More Issue