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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
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Product Sales Promotion Recommendation Strategy with Purchase Pattern Analysis FP-Growth Algorithm Ismarmiaty, Ismarmiaty; Rismayati, Ria
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.v8i1.11898

Abstract

The development of retail business technology is related to the need for management to meet customer demands by using technology. To help make effective sales strategic decisions, it is necessary to optimize the use of information technology on existing sales transaction data. The transaction database that has been stored as a company archive asset can be used for processing information that is useful in increasing product sales and promotions. This study aims to provide an analysis related to the product sales pattern of PT. X in Sumbawa Besar city. PT. X is a retail company that sells distributes daily consumer goods. The algorithm used is Frequent Pattern – Growth which is one of the algorithms in data mining used to find relationships in large data based on the number of occurrences of these data relationships. The Association Rule Mining method can be used in the retail business field, known as Market Basket Analysis. The application used for testing is Rapidminer 9.10. The research stages include: data collection, data preparation, FP-Growth algorithm implementation, result analysis and conclusions. The results of the tests carried out resulted in 819 rules with a total of 85 rules. The results of grouping strong rules based on the combination and number of products that produce information that is expected to be used as recommendations to promote products with discount, cross-selling, up-selling, product bundling and other types of promotions to increase product sales.
Disease Classification on Rice Leaves using DenseNet121, DenseNet169, DenseNet201 Saputra, Adi Dwifana; Hindarto, Djarot; Santoso, Handri
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.v8i1.11906

Abstract

Rice is a plant that can grow in the tropics. This plant can produce food that can meet the needs of the people of a country. This plant can grow well if it is cared for properly. If the planting has used good care, such as providing adequate water, adding good fertilizer, it can be ascertained that it will produce a lot of rice fruit after harvesting. This often causes concern if rice growers have given good care but often produce less rice fruit because rice plants are attacked by various diseases. This is what makes the problem, that rice plants are attacked by diseases. Before spraying diseases or pests, farmers should have an understanding of diseases in rice. This makes farmers not wrong in choosing drugs for farmers' rice. It is very vulnerable if farmers do not know about the rice disease. Therefore, it is necessary to observe what types of rice diseases attack rice plants. Observations are not enough just to take pictures with a camera. But it is necessary to carry out further analysis of rice diseases. The presence of information technology is now able to recognize any type. One of the machine learning technologies is able to detect rice diseases. One of these branches of machine learning is deep learning. By using a dataset that focuses on rice disease, the model generated from deep learning training is able to detect rice disease. The purpose of this research is to predict disease in rice leaves using deep learning, namely DenseNet. Training using DenseNet, namely DenseNet121, DenseNet169 and DenseNet201. Accuracy using DenseNet121 reached 91.67%, DenseNet169 reached 90%, and DenseNet201 reached 88.33%. The model training time takes 24 seconds.
Utilization and development of Smart Mosque Applications Febrianty, Febrianty; Thantawi, Ahmad Muhammad; Budilaksono, Sularso; Anwar, Nizirwan; Komsiah, Siti
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.v8i1.11911

Abstract

Mosque is pointing to a place (building) whose main function is as a place of prostration and worship of Allah SWT. Mosque digitization is one form of mosque adaptation to technological developments towards digital. This of course will be able to improve the service of the mosque to the congregation. However, many mosques have not moved towards digitization. A system for managing data and information, such as: mosque activities, congregational data, financial reports, and so on. Currently, there are quite a lot of user acceptance model theories for an application. One of them is the model of user satisfaction. Data collection is done by using a survey of user satisfaction with the application. The methods used in research in the development and implementation of networks and digitalization in terms of questions and answers to interviews with several mosque DKM administrators by the development team are: at the Nurul Hidayah mosque, Al Ikhlas Pademangan mosque, Attaqwa Grand Mosque, Asy Syam Mosque, Jami Al Manar Mosque, Jami Al-Hidayah Mosque, Baitussalam Mosque (Bogor), and Al-Ikhlas Mosque, all of which are still in the Jakarta area. As well as the results of the questionnaire that was made, there were Questionnaire Results of the System Usability Scale (SUS) Testing for the Smart Masjid application regarding customer satisfaction, which was carried out by survey research through a questionnaire form and interview. The results of the average answer to the questions given are 80% - 85% Answering Agree and Strongly Agree, the rest only partially answered Doubtful and Disagree.
Android-Based Herpes Disease Detection Application using Image Processing Hakim, Arif Rahman; Atmaja, Dewi Marini Umi; Tugiman, Tugiman; Basri, Amat
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.v8i1.11913

Abstract

Herpes is a viral infection that causes a skin disease that is widespread throughout the world. Herpes virus is a DNA virus transmitted via infected skin, saliva, and other body fluids. Herpes is characterized by chickenpox-like nodules in one area of the skin, swollen tissue surrounding the nodule, and blister formation on the nodule. Digital image processing that can detect herpes disease is anticipated to reduce physical contact between physicians and patients during skin disease diagnosis. This study's methodology includes collecting data on herpes disease, developing machine-learning models using the CNN algorithm, and deploying the model as an Android application. This study makes use of actual data collected via smartphones, Pocket Cameras, and internet-sourced photographs. The data include 12,645 images of skin affected by herpes and normal skin. Using 100 epochs and the Adadelta optimizer, the accuracy of this study is 85 percent.
The Comparison of Accuracy on Classification Climate Change Data with Logistic Regression Adnan, Arisman; Yolanda, Anne Mudya; Erda, Gustriza; Goldameir, Noor Ell; Indra, Zul
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.v8i1.11914

Abstract

Machine learning methods can be used to generate climate change models. The goal of this study is to use logistic regression machine learning algorithms to classify data on greenhouse gas emissions. The data used is climate change data of several countries obtained from The World Bank, with total greenhouse gas emissions as the response variable and 61 other attributes as explanatory variables. This data is preprocessed using min-max normalization to handle unbalanced ranges, and then the data is split into 70% training data and 30% testing data. Based on the logistic regression modeling, it was discovered that the data from the min-max transformation resulted in better modeling than the data modeling without the transformation process. The accuracy, precision, sensitivity, and specificity of the transformation are 87.60%, 87.76%, 87.04%, and 88.14%, respectively
Design and Development of Coffee Machine Control System Using Fuzzy Logic Hadianto, Eko; Amanda, Djaja; Hindarto, Djarot; Makmur, Amelia; Santoso, Handri
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.v8i1.11917

Abstract

The food and beverage industry is currently rife in urban and outside cities. Many locations are used as places to sell drinks, especially coffee which is a native plant of Indonesia. Nowadays, coffee compounding requires good technology. There are many coffee processing machines on the market. The coffee machine is capable of making expresso coffee, latte coffee and others. This coffee machine also combines coffee ingredients, sugar and milk as a carrier for a delicious aroma. In addition, the water pressure from the coffee machine heating boiler, the strong pressure of the coffee machine piston also affects the results of making a cup of coffee, the stronger the pressure, the thicker the coffee produced and the slower the flow of water in the coffee machine. glass of water because basically the stronger the pressure applied to it. the coffee grounds, the tighter and tighter the gaps that the water itself will pass, as well as the thickness of the resulting coffee water will be more concentrated. With Fuzzy Inference, it is possible to determine the optimal pressure to be exerted by the coffee machine piston based on the weight of the coffee grounds (grams) on the coffee machine piston and the specifications of the type of coffee machine used. Determining the optimal pressure on the coffee grounds will affect the taste of the coffee water produced and the speed of making a cup of coffee. This study uses the optimal pressure on the piston using the fuzzy inference method. The purpose of this research is to create a simulation for evaluating the performance of a coffee machine using fuzzy logic to solve the problem of damage to the piston. The fuzzy approach in this research uses the fuzzy Takagi Sugeno Kang method.
Management Information System Web-Base on Blood Donation Service Suartini, Sri; Ikhwan, Ali
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.v8i1.11920

Abstract

Blood donation is an activity of sharing blood from a person to others in need. This activity was carried out because of the large number of patients in the hospital who needed blood for their illness. The amount of blood needed is not proportional to the amount of blood stock in the hospital, so it is deficient and requires a lot of blood from donors. The scarcity of blood stocks does not occur only in hospitals but also in PMI (Indonesian Red Cross) so that patients or families have difficulty finding blood to meet the needs of patients. The method used in these crisis conditions is to contact a few random people, or create information on personal social media about who can donate blood. This method is less efficient and effective because the data of potential donors is often also not qualified and data collection is also still done manually by the blood transfusion unit. Information technology is one of the solutions in providing information and data collection as well as management in the blood transfusion unit PMI Deli Serdang. In this case the R&D method ( Research And Development) can help develop a management information system to collect data in blood donation services at PMI Deli Serdang.  
MOBILE LIBRARY APPLICATION MODELING FOR STRENGTHENING DIGITAL-BASED STUDENT'S READING WRITING INTEREST Suhardi, Suhardi
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.v8i1.11922

Abstract

Digital literacy is very important at this time. Proficiency in using technology is a must in order to compete nationally and internationally. One way to improve literacy patterns is to obtain a lot of information and reading materials through the library. Technological devel-opments make libraries have to innovate so that conventional libraries become digital li-braries. At the library of the State Islamic University of North Sumatra (UINSU) Medan itself, the literacy pattern has utilized the digital library. It just needs better innovation by creating responsive mobile applications. This application model will focus on providing digital books so that they can be accessed from anywhere without having to visit the li-brary. The development of this application model uses the Research and Development (R&D) method and is designed using the UML model and with various tools and various programming languages such as Android Studio, HTML, CSS, and PHP which will later produce a responsive web view. There are 3 access rights in the mobile library application, namely Administrators, Library Members and Library Visitors who have their own access rights. This application model runs well on the android platform which is relevant to today and makes it easy for users because it can be accessed anywhere and anytime and has online reading, borrowing and returning features.
Gender Classification Based on Fingerprint Using Wavelet and Multilayer Perceptron Suwarno, Sri
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.v8i1.11925

Abstract

Fingerprint-based gender classification is beneficial for speeding up the fingerprint identification of criminals, accident victims, and natural disaster victims that are difficult to be recognized based on their physical characteristics. The biggest obstacle to digitally classifying fingerprints is the image's poor quality. Some methods have been developed to improve image quality through various preprocessing, such as noise removal, background segmentation, thinning, and binarization. However, as these processes increase the classification time, some methods have been developed to classify fingerprints without preprocessing. One of them that has shown excellent success is CNN (Convolutional Neural Network). The method does not require preprocessing, but the computation time is very long and requires large amounts of training data. This study proposed a new method that did not need any preprocessing by using wavelet decomposition combined with the max-pooling process to generate features. Firstly, the fingerprint image was decomposed with a Haar wavelet of 4 levels, and each level was followed by a max-pooling process with a 2´2 filter. After that, the resulting feature was used as training data for the Multilayer Perceptron (MLP) network. In this study, the training data was a dataset from NIST (National Institute of Standart and Technology), with 750 fingerprints consisting of male and female fingerprints, each as many as 375. The method could produce a total accuracy of 80.1%.
Design Of Health Service Mobile Application Interface Using User Centered Design Method Dewi, Berliana Kemala; Defriani, Meriska; Sunandar, M. Agus
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.v8i1.11931

Abstract

: In this modern era, many things that have been digitized indirectly help in community activities, especially in obtaining public service facilities. This clinic is one of the public facilities in Purwakarta Regency which is engaged in health services to facilitate services to the community. One of the efforts of this Clinic is to continue to provide effective and efficient health facilities under any circumstances and aims to increase the attractiveness of patients to the clinic. The purpose of this research is to design a health service mobile application interface using the User Centered Design method to provide health service information to the general public. User centered design is a design process that focuses on user needs, by carrying out 5 stages, namely Understand Context of Use, Specify User Requirements, Design Solutions, Evaluate Against Requirements. Products developed using this method are optimized for users and emphasized on how the user needs or wants to use a product. Interface testing uses the Single Ease Question as a measure of the success rate of interface design that has been made. The results of this study resulted in an interface design that is in accordance with the characteristics of the general public, this is evidenced by the results of the evaluation using the Single Ease Question getting an average score of 6.7 out of 5 assignments given to 5 respondents during the testing stage, so it can be concluded that the score It has a good level of convenience and is easy to use.

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