Pub Date : 2023-11-05DOI: 10.20527/jtiulm.v8i2.173
Riky Yoga Perkasa, Nurul Fuad
Cats are animals that relieve stress. When a person spends time with a cat, the hormones serotonin, oxytocin and dopamine increase. One of the reasons why cats can relieve stress is purring, that has a frequency level of 25-50 hertz. But cats can also get sick. Researchers took the initiative to create an application to make it easier for users, to be able to diagnosed earlier. The purpose of this application was that it can be an option other than going to an expert, a good accuracy when compared to experts and providing the right solution. Making the application used the Naïve Bayes method as an analysis of cat data from expert sources that produced that symptoms produced appropriate disease with the solution. Implementation users starting from filling in biodata, symptoms, generating diseases and their solutions, and additional features such as disease info and messages. Meanwhile, admin requires a login to use the data management of symptoms, diseases, knowledge base, accounts and messages. The results of the application were explained from the results of the diagnosis which can detect the cats disease from the inputted symptoms, along with other disease options, with a disease comparison value of 91%.
{"title":"EXPERT SYSTEM FOR DIAGNOSIS OF DISEASES IN CAT USING THE NAIVE BAYES METHOD","authors":"Riky Yoga Perkasa, Nurul Fuad","doi":"10.20527/jtiulm.v8i2.173","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.173","url":null,"abstract":"Cats are animals that relieve stress. When a person spends time with a cat, the hormones serotonin, oxytocin and dopamine increase. One of the reasons why cats can relieve stress is purring, that has a frequency level of 25-50 hertz. But cats can also get sick. Researchers took the initiative to create an application to make it easier for users, to be able to diagnosed earlier. The purpose of this application was that it can be an option other than going to an expert, a good accuracy when compared to experts and providing the right solution. Making the application used the Naïve Bayes method as an analysis of cat data from expert sources that produced that symptoms produced appropriate disease with the solution. Implementation users starting from filling in biodata, symptoms, generating diseases and their solutions, and additional features such as disease info and messages. Meanwhile, admin requires a login to use the data management of symptoms, diseases, knowledge base, accounts and messages. The results of the application were explained from the results of the diagnosis which can detect the cats disease from the inputted symptoms, along with other disease options, with a disease comparison value of 91%.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"87 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725514","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}
This study aims to develop a Computational Thinking (CT) instrument on Object-Oriented Programming material as a tool for measuring the level of CT in the problem-solving abilities of Vocational High School students. The Plomp model of R&D analysis is used as a research flow. There are four stages of CT instrument development, namely 1) preliminary investigation stage, 2) design stage, 3) realization stage, and 4) evaluation stage. The research method uses a quantitative approach with statistical analysis. The research subjects were 35 Grade 10 students at SMK Negeri 11 Bandung. The findings show that PBO material is suitable for use as a medium for developing CT instruments. Based on the results of the material expert validation and the instrument showed very good results. The instruments developed have been tested for validity, reliability, level of difficulty, and discriminatory power. There were 80 out of 100 questions which were declared valid and reliable for use. The difficulty level of the instrument is in the easy category (46 questions) and medium (54 questions). Meanwhile, the differentiating power of the instrument was in the range of sufficient (17 questions), good (57 questions), and very good (10 questions). The CT instrument developed in this study has categories of 24 abstraction questions, 20 pattern recognition questions, 18 decomposition questions, and 18 algorithm design questions. With the completion of this instrument, it is hoped that it can assist teachers or researchers in measuring problem-solving abilities, especially students' CT abilities.
本研究旨在开发一套基于面向对象程序设计教材的计算思维(CT)测试工具，以测量职高学生解决问题能力的CT水平。研究流程采用研发分析的普洛普模型。CT仪器的发展有四个阶段，即1)初步调查阶段，2)设计阶段，3)实现阶段，4)评估阶段。研究方法采用定量分析与统计分析相结合的方法。研究对象为万隆SMK Negeri 11的35名10年级学生。结果表明，PBO材料适合作为开发CT仪器的介质。根据材料专家和仪器的验证结果，取得了很好的效果。已对所开发的工具进行了效度、信度、难易程度和歧视性权力的测试。100个问题中有80个被宣布为有效和可靠的。考试的难度分为简单类(46道题)和中等类(54道题)。同时，该仪器的区分能力在足够(17个问题)，良好(57个问题)和非常好(10个问题)的范围内。本研究开发的CT仪器有24个抽象问题、20个模式识别问题、18个分解问题和18个算法设计问题。随着该仪器的完成，希望它可以帮助教师或研究人员测量解决问题的能力，特别是学生的CT能力。
{"title":"COMPUTATIONAL THINKING INSTRUMENTS AS A PROBLEM-SOLVING METHOD IN OBJECT-ORIENTED PROGRAMMING MATERIALS IN VOCATIONAL SCHOOLS","authors":"None Eka Fitrajaya Rahman, None Dwi Fitria Al Husaeni, None Erna Piantari","doi":"10.20527/jtiulm.v8i2.169","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.169","url":null,"abstract":"This study aims to develop a Computational Thinking (CT) instrument on Object-Oriented Programming material as a tool for measuring the level of CT in the problem-solving abilities of Vocational High School students. The Plomp model of R&D analysis is used as a research flow. There are four stages of CT instrument development, namely 1) preliminary investigation stage, 2) design stage, 3) realization stage, and 4) evaluation stage. The research method uses a quantitative approach with statistical analysis. The research subjects were 35 Grade 10 students at SMK Negeri 11 Bandung. The findings show that PBO material is suitable for use as a medium for developing CT instruments. Based on the results of the material expert validation and the instrument showed very good results. The instruments developed have been tested for validity, reliability, level of difficulty, and discriminatory power. There were 80 out of 100 questions which were declared valid and reliable for use. The difficulty level of the instrument is in the easy category (46 questions) and medium (54 questions). Meanwhile, the differentiating power of the instrument was in the range of sufficient (17 questions), good (57 questions), and very good (10 questions). The CT instrument developed in this study has categories of 24 abstraction questions, 20 pattern recognition questions, 18 decomposition questions, and 18 algorithm design questions. With the completion of this instrument, it is hoped that it can assist teachers or researchers in measuring problem-solving abilities, especially students' CT abilities.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"57 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725972","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}
University Helpdesk as an information system service provider provided by PTIPD University assists students, staff, and lecturers in solving problems using information systems and networks, as well as updating information online and offline. Based on the Regulation Minister of Religion of the Republic of Indonesia Number 17 of 2013 to improve the quality of university delivery and services, and GUG (Good University Governance) implementation, governance framework is needed to align the vision, mission, and objectives. IT governance framework covering management, operational, maintenance, monitoring, and evaluation processes. The analysis of IT governance with COBIT 2019 resulted in the preparation of recommendations based on the mapping of the domain (area) of the 2019 COBIT design factors. These recommendations are needed for an analysis of the maturity level of PTIPD university helpdesk information technology governance. The research data were taken from annual reports and Key Performance Indicators, observations, and interviews. Based on Design Factors 1-11 to determine domain area, the result is needing improved governance perspective APO12-Managed Risk and DSS05-Managed Security Services. The focus area is risk management and service security management in terms of data and information. The expected ability level is at level 4, while the current ability level analysis is at level 2, the gap level analysis is 2 levels different. The result is to get 12 recommendations and 2 main recommendations using the Fuzzy-AHP method based on the weighting of the criteria of Regulation number 12 of 2012 the management of information technology in university.
{"title":"ANALYSIS OF UNIVERSITY HELPDESK INFORMATION TECHNOLOGY GOVERNANCE USING COBIT 2019 AND FUZZY AHP","authors":"None Syinsyina Arifa, Rizal Isnanto, Rinta Kridalukmana","doi":"10.20527/jtiulm.v8i2.176","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.176","url":null,"abstract":"University Helpdesk as an information system service provider provided by PTIPD University assists students, staff, and lecturers in solving problems using information systems and networks, as well as updating information online and offline. Based on the Regulation Minister of Religion of the Republic of Indonesia Number 17 of 2013 to improve the quality of university delivery and services, and GUG (Good University Governance) implementation, governance framework is needed to align the vision, mission, and objectives. IT governance framework covering management, operational, maintenance, monitoring, and evaluation processes. The analysis of IT governance with COBIT 2019 resulted in the preparation of recommendations based on the mapping of the domain (area) of the 2019 COBIT design factors. These recommendations are needed for an analysis of the maturity level of PTIPD university helpdesk information technology governance. The research data were taken from annual reports and Key Performance Indicators, observations, and interviews. Based on Design Factors 1-11 to determine domain area, the result is needing improved governance perspective APO12-Managed Risk and DSS05-Managed Security Services. The focus area is risk management and service security management in terms of data and information. The expected ability level is at level 4, while the current ability level analysis is at level 2, the gap level analysis is 2 levels different. The result is to get 12 recommendations and 2 main recommendations using the Fuzzy-AHP method based on the weighting of the criteria of Regulation number 12 of 2012 the management of information technology in university.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"59 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135726116","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}
Pub Date : 2023-11-05DOI: 10.20527/jtiulm.v8i2.172
Athia Syarif Hidayatullah, Nurul Fuad
Eggs are one of the livestock products that help people to get adequate nutrition. In Indonesia, chicken eggs are in great demand, besides being easy to obtain and the price is affordable, Omega 3 chicken eggs are one of the chicken eggs that have very many benefits. However, chicken eggs themselves become a rare staple because the yield of chicken eggs is too little. The main purpose of this application was to forecast or predict the yield of chicken eggs accurately so that it became one of the options for egg supply in the future. Making the application used the Double Moving Average method as a forecasting method. The Double Moving Average was used as an analysis of data on the yield of chicken eggs Omega 3 with the right calculation produced an accurate forecast. Implementation of the application is intended for users starting from filling in data, filling in forecasting movements, and additional features such as recaps. The results of the application are explained from the forecasting results which have a high level of accuracy and a small error rate using the Double Moving Average method.
{"title":"IMPLEMENTATION OF DOUBLE MOVING AVERAGE METHOD IN PREDICTION OF OMEGA 3 CHICKEN EGG HARVEST RESULT of PAK DARMO WEB-BASED","authors":"Athia Syarif Hidayatullah, Nurul Fuad","doi":"10.20527/jtiulm.v8i2.172","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.172","url":null,"abstract":"Eggs are one of the livestock products that help people to get adequate nutrition. In Indonesia, chicken eggs are in great demand, besides being easy to obtain and the price is affordable, Omega 3 chicken eggs are one of the chicken eggs that have very many benefits. However, chicken eggs themselves become a rare staple because the yield of chicken eggs is too little. The main purpose of this application was to forecast or predict the yield of chicken eggs accurately so that it became one of the options for egg supply in the future. Making the application used the Double Moving Average method as a forecasting method. The Double Moving Average was used as an analysis of data on the yield of chicken eggs Omega 3 with the right calculation produced an accurate forecast. Implementation of the application is intended for users starting from filling in data, filling in forecasting movements, and additional features such as recaps. The results of the application are explained from the forecasting results which have a high level of accuracy and a small error rate using the Double Moving Average method.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"37 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725567","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}
Pub Date : 2023-11-05DOI: 10.20527/jtiulm.v8i2.160
Retno Wardhani, Nur Nafi'iyah
COVID-19 has caused a global health crisis, with increasing numbers of people being infected and dying every day. Various countries have tried to control its spread by applying the basic principles of social aggregation and testing. Experts agree that physical and mental health are interrelated and must be managed and balanced. The government must pay attention to balancing physical and mental health during a pandemic. The Ministry of Health has issued a guidebook for Mental Health and Psychosocial Support (DKJPS) during the COVID-19 pandemic. Based on the mental health conditions of the community or medical personnel, we are trying to create a system for mental health analysis for medical professionals based on the results of questionnaires using the machine learning method (Naive Bayes, Decision Tree, k-NN, SVM, Backpropagation, and Logistic Regression). A total of 24 question questionnaires were submitted to respondents. This study aimed to create a machine learning model (Naive Bayes, Decision Tree, k-NN, SVM, Backpropagation, and Logistic Regression) to identify the mental health of medical personnel during the COVID-19 pandemic. The results of this study are machine learning models that have the highest accuracy in identifying health workers' mental health and are 100% SVM.
{"title":"IDENTIFICATION OF MENTAL HEALTH WORKERS IN LAMONGAN WITH MACHINE LEARNING","authors":"Retno Wardhani, Nur Nafi'iyah","doi":"10.20527/jtiulm.v8i2.160","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.160","url":null,"abstract":"COVID-19 has caused a global health crisis, with increasing numbers of people being infected and dying every day. Various countries have tried to control its spread by applying the basic principles of social aggregation and testing. Experts agree that physical and mental health are interrelated and must be managed and balanced. The government must pay attention to balancing physical and mental health during a pandemic. The Ministry of Health has issued a guidebook for Mental Health and Psychosocial Support (DKJPS) during the COVID-19 pandemic. Based on the mental health conditions of the community or medical personnel, we are trying to create a system for mental health analysis for medical professionals based on the results of questionnaires using the machine learning method (Naive Bayes, Decision Tree, k-NN, SVM, Backpropagation, and Logistic Regression). A total of 24 question questionnaires were submitted to respondents. This study aimed to create a machine learning model (Naive Bayes, Decision Tree, k-NN, SVM, Backpropagation, and Logistic Regression) to identify the mental health of medical personnel during the COVID-19 pandemic. The results of this study are machine learning models that have the highest accuracy in identifying health workers' mental health and are 100% SVM.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"87 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725505","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}
Pub Date : 2023-11-05DOI: 10.20527/jtiulm.v8i2.171
Silvianti Silvi, Kiky Rizky Nova Wardani
Dalihan Natolu Sigapiton Studio is an art studio located in Sigapiton Village. This studio is one of the efforts to preserve the original village culture with native village teachers to make this dance pure, original that has been passed down from generation to generation. Many want to learn the original Batak dance which is known as the tor-tor dance from Sigapiton Village, however, the long distance makes it difficult for consumers to learn directly from the Dalihan Art Studio Natolu Sigapiton. The current problem is that there is no website or system that can help outsiders to learn traditional village dances. So it can be concluded that there are many wishes from the outside community to learn typical village dances, distance does not prevent them from learning. Based on previous research by Silvianti, Kiky Rizky Nova Wardani [1] entitled “UI Design UX Batak Dance Package at Website-Based Studio Dalihan Natolu Sigapiton Using the Design Thinking Method” has created a website design for Studio Dalihan Natolu Sigapiton. In this study, the aim was to design and build based on previous research by creating a website and adding features to become a Batak Dance Package Website for Dalihan Natolu Siapiton Studio Using the Web Engineering Method, which is a quality software development without spending a lot of money, based on the idea and the needs of the users.
Dalihan Natolu Sigapiton Studio是一家位于Sigapiton村的艺术工作室。这个工作室是保留原始乡村文化的努力之一，当地的乡村教师使这种舞蹈纯净，原始，代代相传。很多人都想去Sigapiton村学习原始的巴塔克舞，也就是所谓的tor-tor舞，但是由于距离遥远，消费者很难直接从大里汉艺术工作室Natolu Sigapiton那里学习。目前的问题是，没有网站或系统可以帮助外地人学习传统的乡村舞蹈。因此可以得出结论，有很多来自外部社区的愿望学习典型的乡村舞蹈，距离并不妨碍他们学习。Kiky Rizky Nova Wardani[1]在Silvianti之前的研究基础上，题为“UI设计UX Batak Dance Package at website -Based Studio Dalihan Natolu Sigapiton Using the Design Thinking Method”，为Dalihan Natolu Sigapiton工作室做了一个网站设计。本研究的目的是在前人研究的基础上，根据用户的想法和需求，利用Web工程的方法，通过创建一个网站并添加功能，设计和构建一个为Dalihan Natolu Siapiton Studio制作的Batak Dance Package网站，这是一种不需要花费很多钱的高质量的软件开发。
{"title":"WEBSITE DESIGN OF BATAK TYPICAL DANCE PACKAGE DALIHAN NATOLU SIGAPITON STUDIO USING WEB ENGINEERING METHODS","authors":"Silvianti Silvi, Kiky Rizky Nova Wardani","doi":"10.20527/jtiulm.v8i2.171","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.171","url":null,"abstract":"Dalihan Natolu Sigapiton Studio is an art studio located in Sigapiton Village. This studio is one of the efforts to preserve the original village culture with native village teachers to make this dance pure, original that has been passed down from generation to generation. Many want to learn the original Batak dance which is known as the tor-tor dance from Sigapiton Village, however, the long distance makes it difficult for consumers to learn directly from the Dalihan Art Studio Natolu Sigapiton. The current problem is that there is no website or system that can help outsiders to learn traditional village dances. So it can be concluded that there are many wishes from the outside community to learn typical village dances, distance does not prevent them from learning. Based on previous research by Silvianti, Kiky Rizky Nova Wardani [1] entitled “UI Design UX Batak Dance Package at Website-Based Studio Dalihan Natolu Sigapiton Using the Design Thinking Method” has created a website design for Studio Dalihan Natolu Sigapiton. In this study, the aim was to design and build based on previous research by creating a website and adding features to become a Batak Dance Package Website for Dalihan Natolu Siapiton Studio Using the Web Engineering Method, which is a quality software development without spending a lot of money, based on the idea and the needs of the users.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"86 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135726601","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}
Pub Date : 2023-11-05DOI: 10.20527/jtiulm.v8i2.178
Djarot Hindarto
The current research compares traditional natural language processing methods, such as Naive Bayes and Support Vector Machine, to neural network approaches, particularly Multi-Layer Perceptron, to classify positive and negative sentiments regarding company customer service. This research is motivated by the need to understand the effectiveness of these two approaches in analyzing and classifying sentiment in customer reviews, a crucial aspect of enhancing the quality of customer service. The author evaluated accuracy, speed, and adaptability to complex and diverse review content using a dataset containing various business customer reviews. The findings of this study indicate that neural network approaches, particularly Multi-Layer Perceptron, tend to provide superior performance in classifying customer sentiment with greater precision, albeit at a higher computational cost. Traditional methods such as Naive Bayes and Support Vector Machine still apply in situations with limited resources. The results of this research provide valuable guidance for companies in selecting an appropriate approach to analyzing customer sentiment, with the potential to increase understanding of customer views and improve overall customer service. Nave Bayes achieves 68.75% accuracy, Support Vector Machine achieves 87.5% accuracy, and Multi-Layer Perceptron achieves 100% accuracy.
{"title":"A COMPARATIVE STUDY OF SENTIMENT CLASSIFICATION: TRADITIONAL NLP VS. NEURAL NETWORK APPROACHES","authors":"Djarot Hindarto","doi":"10.20527/jtiulm.v8i2.178","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.178","url":null,"abstract":"The current research compares traditional natural language processing methods, such as Naive Bayes and Support Vector Machine, to neural network approaches, particularly Multi-Layer Perceptron, to classify positive and negative sentiments regarding company customer service. This research is motivated by the need to understand the effectiveness of these two approaches in analyzing and classifying sentiment in customer reviews, a crucial aspect of enhancing the quality of customer service. The author evaluated accuracy, speed, and adaptability to complex and diverse review content using a dataset containing various business customer reviews. The findings of this study indicate that neural network approaches, particularly Multi-Layer Perceptron, tend to provide superior performance in classifying customer sentiment with greater precision, albeit at a higher computational cost. Traditional methods such as Naive Bayes and Support Vector Machine still apply in situations with limited resources. The results of this research provide valuable guidance for companies in selecting an appropriate approach to analyzing customer sentiment, with the potential to increase understanding of customer views and improve overall customer service. Nave Bayes achieves 68.75% accuracy, Support Vector Machine achieves 87.5% accuracy, and Multi-Layer Perceptron achieves 100% accuracy.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"66 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725543","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}
Pub Date : 2023-11-05DOI: 10.20527/jtiulm.v8i2.174
Djarot Hindarto
The occurrence of diseases that impact the leaves of corn plants presents a substantial obstacle in agriculture, leading to a reduction in the overall yield of crops. This study aims to perform a comparative analysis of transfer learning methodologies by employing three distinct ResNet architectures: ResNet18, ResNet50, and ResNet101. The dataset utilized by the author consists of a compilation of images portraying corn leaves that demonstrate varying levels of disease severity. Transfer learning refers to leveraging a pre-existing ResNet model and retraining the network by employing the corn leaf dataset. The experimental results demonstrate that the ResNet18, ResNet50, and ResNet101 models achieved accuracy rates of 96.68%, 95.73%, and 95.26%, respectively. The ResNet101 model shows superior performance in terms of precision and recall metrics. This research indicates that utilizing a more complex and sophisticated network structure can improve the effectiveness of disease identification in corn plant leaves. The result above is essential in promoting sustainable agricultural methodologies and efficiently managing corn plant diseases.
{"title":"COMPARISON OF DETECTION WITH TRANSFER LEARNING ARCHITECTURE RESTNET18, RESTNET50, RESTNET101 ON CORN LEAF DISEASE","authors":"Djarot Hindarto","doi":"10.20527/jtiulm.v8i2.174","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.174","url":null,"abstract":"The occurrence of diseases that impact the leaves of corn plants presents a substantial obstacle in agriculture, leading to a reduction in the overall yield of crops. This study aims to perform a comparative analysis of transfer learning methodologies by employing three distinct ResNet architectures: ResNet18, ResNet50, and ResNet101. The dataset utilized by the author consists of a compilation of images portraying corn leaves that demonstrate varying levels of disease severity. Transfer learning refers to leveraging a pre-existing ResNet model and retraining the network by employing the corn leaf dataset. The experimental results demonstrate that the ResNet18, ResNet50, and ResNet101 models achieved accuracy rates of 96.68%, 95.73%, and 95.26%, respectively. The ResNet101 model shows superior performance in terms of precision and recall metrics. This research indicates that utilizing a more complex and sophisticated network structure can improve the effectiveness of disease identification in corn plant leaves. The result above is essential in promoting sustainable agricultural methodologies and efficiently managing corn plant diseases.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"86 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725516","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}
Global warming impacted to agriculture, thereby affecting the world's food supply. UNICEF calls on every country to be able to meet its food needs independently. Indonesia, as an agricultural country, has the potential to meet food needs independently. One effort that can be made is to combine existing agricultural systems with technology through the application of IoT. In this research, it was applied to citrus plants using DHT11 temperature and air humidity sensors and soil moisture sensor YL69. Data processing uses a fuzzy algorithm approach, using two input variables, namely temperature and humidity variables and soil moisture variables. Meanwhile, the resulting output variable is the time for watering the plants. At the fuzzification stage, each variable is grouped into three memberships. For temperature and humidity variables are divided into hot, medium and cold membership. Soil moisture variables are divided into wet, medium and dry membership. And the time variables consists of short, medium and long time membership. In the defuzzification stage, it is calculated by calculating the center of area value for each graphic area resulting from the fuzzification stage. Furthermore, to test the system, the testing carried out resulted in an error value of 5.19 percent. Based on test and trial that be done, the result shows that average volume of water that flows every second when watering plants is 36.5 ml per second.
{"title":"IMPLEMENTATION OF FUZZY MEMBERSHIP FUNCTION TO DETERMINNE AUTOMATIC WATERINNG TIME","authors":"Novita Kurnia Ningrum, Ibnu Utomo Wahyu Mulyono, Karis Widyatmoko, Zahrotul Umami","doi":"10.20527/jtiulm.v8i2.179","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.179","url":null,"abstract":"Global warming impacted to agriculture, thereby affecting the world's food supply. UNICEF calls on every country to be able to meet its food needs independently. Indonesia, as an agricultural country, has the potential to meet food needs independently. One effort that can be made is to combine existing agricultural systems with technology through the application of IoT. In this research, it was applied to citrus plants using DHT11 temperature and air humidity sensors and soil moisture sensor YL69. Data processing uses a fuzzy algorithm approach, using two input variables, namely temperature and humidity variables and soil moisture variables. Meanwhile, the resulting output variable is the time for watering the plants. At the fuzzification stage, each variable is grouped into three memberships. For temperature and humidity variables are divided into hot, medium and cold membership. Soil moisture variables are divided into wet, medium and dry membership. And the time variables consists of short, medium and long time membership. In the defuzzification stage, it is calculated by calculating the center of area value for each graphic area resulting from the fuzzification stage. Furthermore, to test the system, the testing carried out resulted in an error value of 5.19 percent. Based on test and trial that be done, the result shows that average volume of water that flows every second when watering plants is 36.5 ml per second.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"86 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725517","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}
When tourists visit an area, they will definitely look for food and cakes typical of the area to taste or as souvenirs. Including when tourists visit South Kalimantan, tourists will also look for special cakes often called Wadai Banjar, there are various types of Wadai Banjar and must be preserved. Among the younger generation now, Wadai Banjar must also be introduced and strived to be preserved. Based on the information, the purpose of this research is to design, developing, and evaluating the Wadai Banjar educational game. The method used is the Game Development Life Cycle (GDLC) which consists of initiation, pre-production, production, testing, beta, and release, followed by an evaluation of the use of the game application. A total of 100 users have been involved in evaluating the use of the application. The result of this study is that the educational game that has been designed and built can function according to the test features provided and can be released to users. The evaluation of use provides results that the Wadai Banjar educational game application can provide fun, comfort, a fitting and attractive user interface, can find out and learn in recognizing the types of Wadai Banjar, useful and as an effort to introduce and preserve traditional cakes typical of South Kalimantan. Then as many as 70 users are more interested if this Wadai Banjar educational game is desktop-based, because interaction is more flexible and a mouse is needed as the main input media in performing actions.
{"title":"IMPLEMENTATION AND EVALUATION OF INTERACTIVE EDUCATIONAL GAME OF WADAI BANJAR AS AN EFFORT TO PRESERVE TRADITIONAL CAKES OF SOUTHERN KALIMANTAN","authors":"None Aulia Akhrian Syahidi, None Rizky Pamuji, None Nuruddin Wiranda","doi":"10.20527/jtiulm.v8i2.166","DOIUrl":"https://doi.org/10.20527/jtiulm.v8i2.166","url":null,"abstract":"When tourists visit an area, they will definitely look for food and cakes typical of the area to taste or as souvenirs. Including when tourists visit South Kalimantan, tourists will also look for special cakes often called Wadai Banjar, there are various types of Wadai Banjar and must be preserved. Among the younger generation now, Wadai Banjar must also be introduced and strived to be preserved. Based on the information, the purpose of this research is to design, developing, and evaluating the Wadai Banjar educational game. The method used is the Game Development Life Cycle (GDLC) which consists of initiation, pre-production, production, testing, beta, and release, followed by an evaluation of the use of the game application. A total of 100 users have been involved in evaluating the use of the application. The result of this study is that the educational game that has been designed and built can function according to the test features provided and can be released to users. The evaluation of use provides results that the Wadai Banjar educational game application can provide fun, comfort, a fitting and attractive user interface, can find out and learn in recognizing the types of Wadai Banjar, useful and as an effort to introduce and preserve traditional cakes typical of South Kalimantan. Then as many as 70 users are more interested if this Wadai Banjar educational game is desktop-based, because interaction is more flexible and a mouse is needed as the main input media in performing actions.","PeriodicalId":494812,"journal":{"name":"JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)","volume":"86 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725518","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}
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