The IJICS (International Journal of Informatics and Computer Science)
A general practitioner is a medical practitioner who focuses on treating sudden or chronic illnes... more A general practitioner is a medical practitioner who focuses on treating sudden or chronic illnesses, and is often considered a first-line doctor. In health services in hospitals, doctors are an important asset. Previously, the selection of the best general practitioner at Bhakti Medan Hospital was done manually, namely through an evaluation of the number of patients cured and the opinions of the nurses who worked with the doctor. However, this method is not effective enough in assessing the professionalism and quality of a doctor. However, determining the best doctor is not easy and requires many criteria, such as communication skills, ability to listen to patients, compliance with the obligations and rights of doctors and patients, rational use of drugs, and adherence to professional ethics. Therefore, a computer-based decision support system is used to assist in selecting the best doctor effectively. Decision support systems are part of a computer-based information system that is...
2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)
One of the electronic media that provides a source of entertainment and information for its audie... more One of the electronic media that provides a source of entertainment and information for its audience is television programs. The quality of television programs is assessed based on ratings. In addition, public opinion also has a crucial role, and this is because this opinion can be used as data to carry out sentiment analysis by classifying whether the opinion is included in the category of positive or negative sentiment. The problem requires an efficient decision-making system, such as a machine learning algorithm. This study aims to develop a classification of sentiment analysis using Random Forest and Decision Tree algorithms. The dataset used is a public opinion tweet dataset on Twitter for four television programs with five attributes: the number of retweets, id, sentiment, tv show, and tweet text. The results of testing the two algorithm models show that the Random Forest and Decision Tree models have different performance levels. The Decision Tree has lower performance with an accuracy of 74.66%, precision of 76.13%, recall of 78.75%, and an f1-score of 76.73%. Meanwhile, Random Forest has higher performance with an accuracy of 84.06%, precision of 83.65%, recall of 82.80%, and f1-score of 82.32% with a comparison of test data and training data of 20:80. Based on these results, the Random Forest model has the best performance compared to the Decision Tree in classifying television program sentiment based on user opinions in social media.
In continuing higher education, the selection of study programs for students is considered diffic... more In continuing higher education, the selection of study programs for students is considered difficult and confusing in choosing the right study program. Data Mining technique is a process of finding new knowledge from a set of databases that can help predict the selection of the appropriate study program. This prediction uses the Backpropagation Neural Network method which aims to assist in the selection of subjects according to student scores with a sample of 50 data to be trained and tested. There are seven input variables used, two hidden layers with varying number of nodes, and outputs that will be used as references in the selection of courses. In this study, the Artificial Neural Network Backpropagation method uses classification performance with Rapidminer software on the target that produces the greatest accuracy is 77.42%.
Jurnal Informatika, Sistem Informasi dan Kehutanan (FORSINTA)
In finding information, we often experience difficulties, but having a website makes it easier fo... more In finding information, we often experience difficulties, but having a website makes it easier for us to obtain information, one of which is on the educational website, namely SMK Negeri 4 Jambi City, which is a site that provides information about schools, accepting new students and other information. However, the information service available on the SMK Negeri 4 Jambi City website still has a number of problems, including the student menu, which is in the rules and regulations section, the alumni menu is in the alumni directory section, the work unit menu is in the job fair (BKK) section, curriculum, and student affairs. The purpose of this study was to determine the quality of the website at SMK Negeri 4 Jambi City using the webqual (Website Quality) method. The webqual method itself consists of several dimensions, namely quality of use, quality of information, quality of service interaction with quantitative data analysis techniques obtained from questionnaires. With a total sam...
Jurnal Informatika, Sistem Informasi dan Kehutanan (FORSINTA)
Approach is utilized to gather data through document analysis and in-depth interviews with variou... more Approach is utilized to gather data through document analysis and in-depth interviews with various relevant stakeholders. The AHP method is used as a tool to rank and compare relevant assessment criteria to obtain a comprehensive overview of the This research aims to apply the Analytical Hierarchy Process (AHP) method in determining the prospective candidates for the 2024 Indonesian presidential election, namely Anies Baswedan, Ganjar Pranowo, Prabowo Subianto, and Ridwan Kamil. A qualitative strengths and weaknesses of each prospective candidate. This study is expected to provide an objective and transparent perspective in the context of selecting presidential candidates, as well as contribute to more accurate and informed decision-making
Journal of Informatics Management and Information Technology
The best teacher is a teacher who is given appreciation because he has a high achievement value. ... more The best teacher is a teacher who is given appreciation because he has a high achievement value. There are several specific criteria in selecting the best teacher, namely in terms of achievement, skills possessed, morals/manners, and discipline. To improve quality in the world of education, of course, a teacher is needed who will interact directly with students in the learning process which can indirectly improve the quality of education. With the interaction in the learning process, it is hoped that it will become a resource in improving the quality of education. There is also something the government is doing that is in a way to advance education, namely by empowering teachers and giving an award, especially for those who are entitled to get the title of the best teacher with achievements. Based on the results of interviews and research related to SMK Negeri 2 Medan, in determining the best teacher the assessment is still in a subjective way. This is based only on the opinion of e...
Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The increa... more Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The increase in the population diagnosed with DR can be prevented by screening and early treatment of eye damage. This screening process can be conducted by utilizing deep learning techniques. In this study, the detection of DR severity was carried out using the hybrid CNN-DELM method (CDELM). The CNN architectures used were ResNet-18, ResNet-50, ResNet-101, GoogleNet, and DenseNet. The learning outcome features were further classified using the DELM algorithm. The comparison of CNN architecture aimed to find the best CNN architecture for fundus image features extraction. This research also compared the effect of using the kernel function on the performance of DELM in fundus image classification. All experiments using CDELM showed maximum results, with an accuracy of 100% in the DRIVE data and the two-class MESSIDOR data. Meanwhile, the best results obtained in the MESSIDOR 4 class data reached 98...
The weather anomaly phenomenon that occurs can have some negative impact such as flooding, floods... more The weather anomaly phenomenon that occurs can have some negative impact such as flooding, floods will paralyze the economic activities of the community, transportation activities, damage public infrastructure. In this research forecasting weather parameters as a variable for predicting the amount of rainfall using the ANFIS method and Support Vector Regression (SVR) with the aim to provide information on future weather conditions quickly and accurately. The people can prepare themselves and prepare the equipment needed to deal with it. Rainfall predicted based on synop data such us relative humidity, wind, and temperature. Each parameters must forcasted by using ANFIS and the result used for predict rainfall. Accurate prediction calculated using MSE and RMSE. Predictions of parameters that affect rainfall using the ANFIS method shown that for wind speed predictions having RMSE of 1.975004, temperature predictions have RMSE of 0.742332, and predictions of relative humidity have RMSE...
The IJICS (International Journal of Informatics and Computer Science)
A general practitioner is a medical practitioner who focuses on treating sudden or chronic illnes... more A general practitioner is a medical practitioner who focuses on treating sudden or chronic illnesses, and is often considered a first-line doctor. In health services in hospitals, doctors are an important asset. Previously, the selection of the best general practitioner at Bhakti Medan Hospital was done manually, namely through an evaluation of the number of patients cured and the opinions of the nurses who worked with the doctor. However, this method is not effective enough in assessing the professionalism and quality of a doctor. However, determining the best doctor is not easy and requires many criteria, such as communication skills, ability to listen to patients, compliance with the obligations and rights of doctors and patients, rational use of drugs, and adherence to professional ethics. Therefore, a computer-based decision support system is used to assist in selecting the best doctor effectively. Decision support systems are part of a computer-based information system that is...
2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)
One of the electronic media that provides a source of entertainment and information for its audie... more One of the electronic media that provides a source of entertainment and information for its audience is television programs. The quality of television programs is assessed based on ratings. In addition, public opinion also has a crucial role, and this is because this opinion can be used as data to carry out sentiment analysis by classifying whether the opinion is included in the category of positive or negative sentiment. The problem requires an efficient decision-making system, such as a machine learning algorithm. This study aims to develop a classification of sentiment analysis using Random Forest and Decision Tree algorithms. The dataset used is a public opinion tweet dataset on Twitter for four television programs with five attributes: the number of retweets, id, sentiment, tv show, and tweet text. The results of testing the two algorithm models show that the Random Forest and Decision Tree models have different performance levels. The Decision Tree has lower performance with an accuracy of 74.66%, precision of 76.13%, recall of 78.75%, and an f1-score of 76.73%. Meanwhile, Random Forest has higher performance with an accuracy of 84.06%, precision of 83.65%, recall of 82.80%, and f1-score of 82.32% with a comparison of test data and training data of 20:80. Based on these results, the Random Forest model has the best performance compared to the Decision Tree in classifying television program sentiment based on user opinions in social media.
In continuing higher education, the selection of study programs for students is considered diffic... more In continuing higher education, the selection of study programs for students is considered difficult and confusing in choosing the right study program. Data Mining technique is a process of finding new knowledge from a set of databases that can help predict the selection of the appropriate study program. This prediction uses the Backpropagation Neural Network method which aims to assist in the selection of subjects according to student scores with a sample of 50 data to be trained and tested. There are seven input variables used, two hidden layers with varying number of nodes, and outputs that will be used as references in the selection of courses. In this study, the Artificial Neural Network Backpropagation method uses classification performance with Rapidminer software on the target that produces the greatest accuracy is 77.42%.
Jurnal Informatika, Sistem Informasi dan Kehutanan (FORSINTA)
In finding information, we often experience difficulties, but having a website makes it easier fo... more In finding information, we often experience difficulties, but having a website makes it easier for us to obtain information, one of which is on the educational website, namely SMK Negeri 4 Jambi City, which is a site that provides information about schools, accepting new students and other information. However, the information service available on the SMK Negeri 4 Jambi City website still has a number of problems, including the student menu, which is in the rules and regulations section, the alumni menu is in the alumni directory section, the work unit menu is in the job fair (BKK) section, curriculum, and student affairs. The purpose of this study was to determine the quality of the website at SMK Negeri 4 Jambi City using the webqual (Website Quality) method. The webqual method itself consists of several dimensions, namely quality of use, quality of information, quality of service interaction with quantitative data analysis techniques obtained from questionnaires. With a total sam...
Jurnal Informatika, Sistem Informasi dan Kehutanan (FORSINTA)
Approach is utilized to gather data through document analysis and in-depth interviews with variou... more Approach is utilized to gather data through document analysis and in-depth interviews with various relevant stakeholders. The AHP method is used as a tool to rank and compare relevant assessment criteria to obtain a comprehensive overview of the This research aims to apply the Analytical Hierarchy Process (AHP) method in determining the prospective candidates for the 2024 Indonesian presidential election, namely Anies Baswedan, Ganjar Pranowo, Prabowo Subianto, and Ridwan Kamil. A qualitative strengths and weaknesses of each prospective candidate. This study is expected to provide an objective and transparent perspective in the context of selecting presidential candidates, as well as contribute to more accurate and informed decision-making
Journal of Informatics Management and Information Technology
The best teacher is a teacher who is given appreciation because he has a high achievement value. ... more The best teacher is a teacher who is given appreciation because he has a high achievement value. There are several specific criteria in selecting the best teacher, namely in terms of achievement, skills possessed, morals/manners, and discipline. To improve quality in the world of education, of course, a teacher is needed who will interact directly with students in the learning process which can indirectly improve the quality of education. With the interaction in the learning process, it is hoped that it will become a resource in improving the quality of education. There is also something the government is doing that is in a way to advance education, namely by empowering teachers and giving an award, especially for those who are entitled to get the title of the best teacher with achievements. Based on the results of interviews and research related to SMK Negeri 2 Medan, in determining the best teacher the assessment is still in a subjective way. This is based only on the opinion of e...
Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The increa... more Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The increase in the population diagnosed with DR can be prevented by screening and early treatment of eye damage. This screening process can be conducted by utilizing deep learning techniques. In this study, the detection of DR severity was carried out using the hybrid CNN-DELM method (CDELM). The CNN architectures used were ResNet-18, ResNet-50, ResNet-101, GoogleNet, and DenseNet. The learning outcome features were further classified using the DELM algorithm. The comparison of CNN architecture aimed to find the best CNN architecture for fundus image features extraction. This research also compared the effect of using the kernel function on the performance of DELM in fundus image classification. All experiments using CDELM showed maximum results, with an accuracy of 100% in the DRIVE data and the two-class MESSIDOR data. Meanwhile, the best results obtained in the MESSIDOR 4 class data reached 98...
The weather anomaly phenomenon that occurs can have some negative impact such as flooding, floods... more The weather anomaly phenomenon that occurs can have some negative impact such as flooding, floods will paralyze the economic activities of the community, transportation activities, damage public infrastructure. In this research forecasting weather parameters as a variable for predicting the amount of rainfall using the ANFIS method and Support Vector Regression (SVR) with the aim to provide information on future weather conditions quickly and accurately. The people can prepare themselves and prepare the equipment needed to deal with it. Rainfall predicted based on synop data such us relative humidity, wind, and temperature. Each parameters must forcasted by using ANFIS and the result used for predict rainfall. Accurate prediction calculated using MSE and RMSE. Predictions of parameters that affect rainfall using the ANFIS method shown that for wind speed predictions having RMSE of 1.975004, temperature predictions have RMSE of 0.742332, and predictions of relative humidity have RMSE...
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Papers by Hetty Rohayani