Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13063

A. Akmaludin, E. G. Sihombing, R. Rinawati, Linda Sari Dewi, E. Arisawati

{"title":"Integrated Selection of Permanent Teacher Appointments Recommended MCDM-AHP and WASPAS Methods","authors":"A. Akmaludin, E. G. Sihombing, R. Rinawati, Linda Sari Dewi, E. Arisawati","doi":"10.33395/sinkron.v8i2.13063","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13063","url":null,"abstract":"The teacher's role is very important in improving the national learning system. Many honorary teachers are empowered in curriculum development in a number of schools who want to collaborate in improving the quality of their students. The purpose of this research is to provide rewards to honorary teachers who have long served for the progress of the nation in the world of education to be appointed as permanent teachers. The selection method was carried out through a criteria weighting technique with the MCDM-AHP method which was integrated with the WASPAS method. The technique of developing the MCDM-AHP method as an eigenvector measurement concept with proof of optimization through mathematical algebra matrices that is correlated with the Expert Choice application to get optimal values. The result optimization value is integrated with the WASPAS method as a determinant of the ranking system for permanent teacher candidates. This method is a unification of the concepts of the weight product model and weight sum model methods, so that it has special stages to support decision making with the WASPAS method. The results of selecting twelve honorary teachers for appointment as permanent teachers can be seen from the acquisition of the Qi optimization value as a ranking. The results of support for decision making for permanent teacher appointments with the highest optimization value were given to TC04 with a weight of 0.878; followed by a significant difference in the next rank. The findings of this study provide evidence that the integration of the MCDM-AHP and WASPAS methods provides continuous optimization results for decision-making support.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"27 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability Analysis of Dapodik Website: A WebQual Efficiency Model Approach Dapodik 网站的稳定性分析：WebQual 效率模型方法

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13573

Hadi Mulyono, Ari Eko Wardoyo, Luluk Handayani

{"title":"Stability Analysis of Dapodik Website: A WebQual Efficiency Model Approach","authors":"Hadi Mulyono, Ari Eko Wardoyo, Luluk Handayani","doi":"10.33395/sinkron.v8i2.13573","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13573","url":null,"abstract":"This study aims to provide a deeper understanding of how Dapodik can play a role in supporting efficiency and improving the quality of education at the primary level. The research methodology adopts qualitative research design using WebQual 4.0 model. A qualitative approach was chosen to gain an in-depth understanding of user experience regarding the stability and effectiveness of Dapodik in the management of educational data. This study involved participants from two leading elementary schools in Kabupaten Jember, Jember Lor 3 State Elementary School and Al Furqon Elementary School. In its analysis, the research instrument covers three main aspects. The findings show fluctuations in usability scores that reflect application access and performance instability. Although Dapodik shows a good focus on search engine optimization with high SEO value and best practices, improvements to the Largest Contentful Paint (LCP) and page structure are needed to improve stability and responsiveness. The results of operator interviews show the adequacy of Dapodik information, however, more attention is needed in understanding the features of the application. User service responsiveness can be improved by minimizing delays in providing guidance. Suggestions for improvement include stabilization of applications and improved understanding of features, while continued research can explore the positive impact of Dapodik in the context of student learning in various educational environments.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"37 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140358076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of CNN and SVM Methods on Web-based Skin Disease Classification Process 基于网络的皮肤病分类过程中的 CNN 和 SVM 方法比较

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13349

Ahmad Ilham Kushartanto, Fauziah Fauziah, Rima Tamara Aldisa

{"title":"Comparison of CNN and SVM Methods on Web-based Skin Disease Classification Process","authors":"Ahmad Ilham Kushartanto, Fauziah Fauziah, Rima Tamara Aldisa","doi":"10.33395/sinkron.v8i2.13349","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13349","url":null,"abstract":"Skin, as the outermost layer of the body, is often in contact with bacteria, germs and viruses because of its most external position. According to statistics from the 2009 Indonesian Health Profile, skin illness is the third most common ailment seen in outpatient settings across the country's hospitals. Therefore, maintaining healthy skin is important because it protects the body's internal organs from injury and attack by pathogens. The development of image classification, such as the classification of skin diseases, has become a focus in the health sector. This research analyses the performance of Convolutional Neural Network (CNN) and Support Vector Machine (SVM) in web-based skin disease classification and overcomes the problem of imbalanced training data. With data augmentation and preprocess, this research improves data generalization and compares performance metrics such as Recall, Accuracy, and F1 Score. The results show that the average accuracy of CNN is 83.8%, while SVM reaches 81%. Although both models have high metrics for the normal class, other more complicated classes can only be handled by CNN with a value of more than 0.9. Apart from that, the CNN method also provides a higher Confidence Score than SVM, as well as a faster execution time. In conclusion, the CNN method is superior and recommended for skin disease classification based on web applications based on various performance test results.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"15 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140359121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of an Intelligent Imaging System for Determining Maturity of Copra Flesh in Coconuts Using Shape and Texture Extraction 开发智能成像系统，利用形状和纹理提取技术确定椰子果肉的成熟度

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13369

Yogi Wiyandra, Firna Yenila, Suci Wahyuni

{"title":"Development of an Intelligent Imaging System for Determining Maturity of Copra Flesh in Coconuts Using Shape and Texture Extraction","authors":"Yogi Wiyandra, Firna Yenila, Suci Wahyuni","doi":"10.33395/sinkron.v8i2.13369","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13369","url":null,"abstract":"Copra is dried coconut meat that is used to produce coconut oil. According to the Central Statistics Agency (BPS), Indonesia's copra production in 2020 reached 2.3 million tonnes. This is one form of the process of improving the economy of people living on the coast. This research was conducted to educate farmers in determining the level of maturity of the copra meat produced. This research was conducted using an extraction method that involves colour extraction and texture extraction. the method is used to provide convenience in seeing the level of maturity of the two characteristics of copra obtained in the field, namely texture and colour. The process obtained in the training with one of the images used as a test image in colour extraction produces area, perimeter, metric and eccentricity values in label 3 with values of 651.00, 184.69, 0.24 and 0.89. while in the feature extraction method the results are obtained with an average intensity value of 243.31, standard deviation of intensity 39.76 and entropy value of the tested image 4.57. The method is able to perform a detection process so that it can determine the level of maturity of copra seen from the existing types of copra such as asalan copra, regular copra, black copra and wet copra, each of which provides different functions in the copra processing stage. The process will be carried out using KNN which is seen from all test data and training data stored after the detection process. The results of the process carried out using digital images involving the extraction method for detection and KNN for classification are able to provide the right value. This is evidenced by the better accuracy value of 98%.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"106 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rice Plant Disease Detection System Using Transfer Learning with MobilenetV3Large 利用迁移学习和 MobilenetV3Large 的水稻植物病害检测系统

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13383

Rifqi Raenanda Faqih, Muhamad Irsan, Muhammad Faris Fathoni

{"title":"Rice Plant Disease Detection System Using Transfer Learning with MobilenetV3Large","authors":"Rifqi Raenanda Faqih, Muhamad Irsan, Muhammad Faris Fathoni","doi":"10.33395/sinkron.v8i2.13383","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13383","url":null,"abstract":"In this study, we address that foliar diseases of rice (Oryza sativa L.) pose a serious threat to agricultural productivity and propose an effective method for disease detection using Convolutional Neural Network (CNN). We use transfer learning on the MobilenetV3Large model to improve the model's performance. Our study involves a curated dataset containing images of infected rice leaves, followed by a careful preprocessing step. This dataset is then used to train a CNN model. The results show a commendable accuracy rate of over 90% and almost reaching 95% when the model is trained over 200 epochs. The model performance graph shows a consistent upward trend in accuracy coupled with decreasing loss during the training process. Furthermore, the classification results highlight the ability of the model to discriminate between different types of diseases affecting rice leaves. This study demonstrates the effectiveness of our proposed method and positions it as a valuable tool for leaf disease detection in rice. By providing faster and more accurate control measures, our approach has the potential to significantly improve agricultural productivity. The successful application of the CNN model using MobilenetV3Large highlights its adaptability and robust performance in addressing the pressing problem of rice leaf diseases and provides a promising path for future advances in precision agriculture.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"99 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing an Application for Detecting Diseases of Rice Plants Using OOAD Method 利用 OOAD 方法设计一款检测水稻病害的应用程序

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13378

Wijdan Khalil, Muhammad Irsan, Muhammad Faris Fathoni

{"title":"Designing an Application for Detecting Diseases of Rice Plants Using OOAD Method","authors":"Wijdan Khalil, Muhammad Irsan, Muhammad Faris Fathoni","doi":"10.33395/sinkron.v8i2.13378","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13378","url":null,"abstract":"Rice, as a key element of Indonesia's food security, plays a crucial role in agricultural ecosystems. Despite its high economic value, rice plants are susceptible to various diseases that can reduce productivity and harvest quality. Farmer's limited knowledge about disease types, identification, and proper handling poses a serious challenge to sustainable agriculture. Previous studies highlight farmers' inadequate understanding of pests and diseases in rice plants, leading to a high dependency on pesticides. Furthermore, lack of training data and a shallow understanding of rice diseases present significant challenges in disease management efforts. This research aims to develop an Android-based Smart Farm application. This application utilizes image processing and artificial intelligence technologies to assist farmers in identifying leaf diseases in rice plants. Requirements analysis involves literature review and field observations around Bandung Regency. It can be concluded; Smart Farm application has been successfully developed with three functional and two non-functional requirements. Validation testing indicates a 100% functionality rate and an 80% accuracy in disease detection. Nevertheless, further attention is required to enhance accuracy by providing more training data and improving image quality. The implications of this research extend to enhancing farmers' knowledge, reducing pesticide dependency, and supporting sustainable agriculture in the future.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"26 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Clothing Recommendation System Using the K-Nearest Neighbor Method 使用 K 近邻法的服装推荐系统

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13377

Arya Maghrizal Putra, Muhamad Irsan, Muhammad Faris Fathoni

{"title":"Clothing Recommendation System Using the K-Nearest Neighbor Method","authors":"Arya Maghrizal Putra, Muhamad Irsan, Muhammad Faris Fathoni","doi":"10.33395/sinkron.v8i2.13377","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13377","url":null,"abstract":"The world of fashion and the way we interact with it has been transformed by advances in information and communication technology. Clothing recommendation applications have become increasingly common, helping people choose clothes that suit their style and preferences. This study suggests using the KNN Method as a basis for building a more intelligent and personalized clothing recommendation system. To address the growing need for accurate clothing recommendations that match users' preferences, The goal of this research is to create a clothing recommendation system that can help users choose more appropriately because advances in technology have made it possible to gather and examine user data more thoroughly. In this study, the clothing recommendation system was implemented using the KNN Method. We ran simulations by setting the clothing dataset's parameter K value from 3 to 11. The simulation results show that the system's performance reaches its peak at parameter value K=8. We measured the system's accuracy, precision, and recall at this K value in order to assess its performance. The results show that the clothing recommendation system uses the KNN Method. A clothing recommendation system based on the KNN Method with the parameter K=8 has proven successful in classifying clothes with an accuracy of 83,67%.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"15 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140358762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Edge Detection Model Performance Using Canny, Prewitt and Sobel in Face Detection 在人脸检测中使用 Canny、Prewitt 和 Sobel 的边缘检测模型性能

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13497

I. W. R. Pinastawa, Musthofa Galih Pradana, Khoironi Khoironi

{"title":"Edge Detection Model Performance Using Canny, Prewitt and Sobel in Face Detection","authors":"I. W. R. Pinastawa, Musthofa Galih Pradana, Khoironi Khoironi","doi":"10.33395/sinkron.v8i2.13497","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13497","url":null,"abstract":"Detection of objects in the form of objects, humans and other objects at this time has been widely applied in many aspects of life. The help of this technology can facilitate human work, one of which is facial detection to get information about a person's identity. Face identification and detection is closely related to Data Mining science with Image Processing sub-science. This facial detection and recognition can use several technical approaches, one of which is to use edge detection. Edge detection is one of the basic operations of image processing. In the image classification process, edge detection is required before image segmentation processing. There are several methods that can be used to perform edge detection such as Canny, Prewitt and Sobel. These three methods are methods that have accurate and good detection results, with the advantages of each method having its own added value. From the results of previous studies that stated these three methods have good results, it became interesting to conduct a comparative study of these three methods in detecting edges in facial images. Edge detection applied to this study identifies facial images, and will get similarities with the original image from the result analysis process, and is reinforced by measurement results using the Mean Square Error error degree. The final result of this study states that this study the most optimal Mean Square Error measurement results obtained the final results in the Canny method of 10, the Prewitt method of 41 and Sobel of 29. These results show that the value of the Canny method has the smallest Mean Square Error value, which indicates that the Canny method on facial image edge detection has the most optimal results.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"17 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140359310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SIAKAD Mobile With API Service To Improve Academic Services SIAKAD 利用移动应用程序接口服务改进学术服务

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13519

Amir Mahmud Husein, Andre Juan Simanjuntak, Candra Julius Sinaga, Mei Monica Tampubolon, Priskila Natalia C. Situmorang

{"title":"SIAKAD Mobile With API Service To Improve Academic Services","authors":"Amir Mahmud Husein, Andre Juan Simanjuntak, Candra Julius Sinaga, Mei Monica Tampubolon, Priskila Natalia C. Situmorang","doi":"10.33395/sinkron.v8i2.13519","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13519","url":null,"abstract":"Developing SIAKAD (commonly called SIAM, Student Academic Information System) Mobile using API Service to improve academic services for students is the goal of researchers doing so because it supports the implementation of education to create better information distribution services for everyone who wants access to it. And this also has an impact on academic performance, it is easier to organize lecturer attendance schedules, value recapitulation, and so on. Conventional SIAKAD (SIAM) which can be accessed via a computer or laptop has limited accessibility and practicality, which can hinder students from accessing academic information flexibly. Therefore, after researchers have examined and paid attention to several systems that can be implemented to assist users in accessing them, the development of SIAKAD in the form of a mobile application is a solution to increasing accessibility and ease of access to academic information. The API service is used as a communication bridge between the SIAKAD mobile application and the backend system. Through this, the Mobile Application can communicate (send requests and receive responses from the backend system) quickly and efficiently. But to shorten the application development time we use the SCRUM method and for the business process model, we use BPMN to create, design and design this application. The results of this study the authors see a compare of the time that can increase after using Mobile in access SIAKAD (SIAM).","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"39 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140357894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of Smartphone Technology using AHP, ELECTRE, and PROMETHEE Methods 使用 AHP、ELECTRE 和 PROMETHEE 方法比较智能手机技术

Sinkron Pub Date : 2024-03-31 DOI: 10.33395/sinkron.v8i2.13085

A. Akmaludin, A. D. Suriyanto, Nandang Iriadi, Kudiantoro Widianto

{"title":"Comparison of Smartphone Technology using AHP, ELECTRE, and PROMETHEE Methods","authors":"A. Akmaludin, A. D. Suriyanto, Nandang Iriadi, Kudiantoro Widianto","doi":"10.33395/sinkron.v8i2.13085","DOIUrl":"https://doi.org/10.33395/sinkron.v8i2.13085","url":null,"abstract":"The progress of smartphone technology is now very rapid, supported by many renewable features, even many users are competing to get the latest products without regard to the costs that have been incurred. The problem that arises is that it is increasingly difficult to select technology-based products with many criteria. The purpose of writing this paper is to provide the best solution for selecting technology-based products with multi-criteria to suit user needs by taking into account the costs incurred effectively and the use of contradictory multi-criteria applications. The presence of technology products always has many criteria that make it more difficult for users to choose products as the right choice according to their needs, thus the right method is needed as a solution to obtain technology-based products such as smartphones. The Analytic Hierarchy Process (AHP) method is used for the evaluation and selection process. This AHP method will collaborate with the ELECTRE and PROMETHEE methods as a comparison solution for smartphone product selection. The resulting comparison will be an applied model for smartphone selection that produces the best decision-making support according to user needs. The results of the collaborative implementation process of the ELECTRE and PROMETHEE methods provide a decision on the rating system. The collaborative application of the AHP method to the ELECTRE and PROMETHEE methods provides optimal decision support for the selection process, so that this can be used as a comparison material in making decisions regarding the selection of smartphones as technology-based products.","PeriodicalId":34046,"journal":{"name":"Sinkron","volume":"105 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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