INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
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What is the Element of the Smart Village Model?: Domains, aspects and indicators
Full text linkThe idea of "smart villages" doesn\u27t mean that all villages have the same solution. The goal of this study has two-step plan for a "smart village". First is making a model of a smart village based on a review of the literature. Second, verification of the proposed model by interviewing the respondent. In accordance with the proposed model, exploration is conducted at the stage of verification using open-ended questions. As a result of verification, each indicator receives an additional form of explanatory indicators that are matched to the case study\u27s conditions. This is qualitative research with multiple units of analysis based on a single case study. The case study is Banyuwangi Regency. The units of analysis are Kampung Anyar Village, Kaligondo Village, Wringinrejo Village, Tambong Village, and the Department of Community and Village Empowerment. This villages that have won the smart village competition from 2016 to 2019 in Banyuwangi. The result model consists of 6 domains, 17 aspects, and 55 indicators. The domain is governance, basic village services, village resources, the economy, infrastrucutre, and tourism. All domains, aspects, and indicators can be implemented in smart village development by making technology an enabler, and there are sustainable elements.The idea of "smart villages" doesn\u27t mean that all villages have the same solution. The goal of this study has two-step plan for a "smart village". First is making a model of a smart village based on a review of the literature. Second, verification of the proposed model by interviewing the respondent. In accordance with the proposed model, exploration is conducted at the stage of verification using open-ended questions. As a result of verification, each indicator receives an additional form of explanatory indicators that are matched to the case study\u27s conditions. This is qualitative research with multiple units of analysis based on a single case study. The case study is Banyuwangi Regency. The units of analysis are Kampung Anyar Village, Kaligondo Village, Wringinrejo Village, Tambong Village, and the Department of Community and Village Empowerment. This villages that have won the smart village competition from 2016 to 2019 in Banyuwangi. The result model consists of 6 domains, 17 aspects, and 55 indicators. The domain is governance, basic village services, village resources, the economy, infrastrucutre, and tourism. All domains, aspects, and indicators can be implemented in smart village development by making technology an enabler, and there are sustainable elements
Classification of Dragon Fruit Stem Diseases Using Convolutional Neural Network
Full text linkA holticulture plant known as dragon fruit (pitaya) is a fruit that has many benefits and is widely cultivated by farmers in several areas of Banyuwangi. In dragon fruit plants there are various kinds of diseases that attack including red spot, stem rot, black rot, scab, and mosaic. Farmers still recognize diseases on dragon fruit stems manually so that sometimes there are errors in disease recognition. In this research, a system was developed to identify the types of diseases on dragon fruit stems. This system was built by proposing the Convolutional neural network method with the proposed architecture using the Python programming language with the Tensorflow, Keras, and Scikit-Learn libraries. The proposed system is tested using k-fold cross validation with tunning parameters fold = 5 and epoch = 5. The training results show that the highest accuracy performance value is 85.06% with the data used as test data as many as 191 images producing 147 correct data and 44 data wrong, while the average overall accuracy score was 76.43%.A holticulture plant known as dragon fruit (pitaya) is a fruit that has many benefits and is widely cultivated by farmers in several areas of Banyuwangi. In dragon fruit plants there are various kinds of diseases that attack including red spot, stem rot, black rot, scab, and mosaic. Farmers still recognize diseases on dragon fruit stems manually so that sometimes there are errors in disease recognition. In this research, a system was developed to identify the types of diseases on dragon fruit stems. This system was built by proposing the Convolutional neural network method with the proposed architecture using the Python programming language with the Tensorflow, Keras, and Scikit-Learn libraries. The proposed system is tested using k-fold cross validation with tunning parameters fold = 5 and epoch = 5. The training results show that the highest accuracy performance value is 85.06% with the data used as test data as many as 191 images producing 147 correct data and 44 data wrong, while the average overall accuracy score was 76.43%
The Effect of Integrated Learning Management Systems FLearn in Improving Learning Outcomes at Universities during Online Learning
Full text linkThe problem in learning during the covid-19 pandemic is how the university implements effective online learning for students. In order to facilitate online learning to be more comprehensive and integrated, the development of an integrated learning system, namely the learning system in Flexibel Learning or Leaning management, is expected to increase the effectiveness of online learning. The research method in this study is a mixed-method research method with a sequential exploratory model. The research begins with a qualitative study to find the root of the problem and then continues with quantitative analysis to find the influence between variables. The study subjects were fourth-year students in the mathematics education study program. The study results show that the integration of the system facilitates the implementation of learning in the online learning process, but there are still obstacles, such as internet access and learning devices. In contrast, the regression test results show a significant influence between the integration of the learning system on student learning outcomes. The influence of learning system integration on learning achievement is 61.3%, and 38.7% is affected by other factors such as motivation, learning independence, student responsibility, and adequate internet access.The problem in learning during the covid-19 pandemic is how the university implements effective online learning for students. In order to facilitate online learning to be more comprehensive and integrated, the development of an integrated learning system, namely the learning system in Flexibel Learning or Leaning management, is expected to increase the effectiveness of online learning. The research method in this study is a mixed-method research method with a sequential exploratory model. The research begins with a qualitative study to find the root of the problem and then continues with quantitative analysis to find the influence between variables. The study subjects were fourth-year students in the mathematics education study program. The study results show that the integration of the system facilitates the implementation of learning in the online learning process, but there are still obstacles, such as internet access and learning devices. In contrast, the regression test results show a significant influence between the integration of the learning system on student learning outcomes. The influence of learning system integration on learning achievement is 61.3%, and 38.7% is affected by other factors such as motivation, learning independence, student responsibility, and adequate internet access
Identification of IT Governance and Management Objectives and Target Process Capability Level in Government Institution
Full text linkThis study attempts to review whether the organization\u27s IT governance and management practices are appropriate, whether other practices are needed, and the level of capability required for the practices implemented. This study uses COBIT 2019 (Control Objectives for Information and Related Technology 2019) as a reference for guideline practices and COBIT 2019 design factors as a method to identify organizational IT governance and management objectives. Based on this research, it shows that organizational IT governance and management are in accordance with national policies. However, in implementation, it still needs improvement with several other IT governance and management practices according to COBIT 2019. Based on the final results of this study after refinement of the design factor, the proposed IT objectives and practices that meet compliance with a policy are APO 13, APO 12, BAI 08, BAI 06, BAI 09, APO 14, DSS 02, and APO 07. However, adjustments still need to be made by adding some of the practices that are in line with the characteristics of the organization, which are MEA 03, DSS 05, EDM 03, and BAI 11. This study identifies appropriate IT governance and management objectives in the Province of West Java, Republic of Indonesia.This study attempts to review whether the organization\u27s IT governance and management practices are appropriate, whether other practices are needed, and the level of capability required for the practices implemented. This study uses COBIT 2019 (Control Objectives for Information and Related Technology 2019) as a reference for guideline practices and COBIT 2019 design factors as a method to identify organizational IT governance and management objectives. Based on this research, it shows that organizational IT governance and management are in accordance with national policies. However, in implementation, it still needs improvement with several other IT governance and management practices according to COBIT 2019. Based on the final results of this study after refinement of the design factor, the proposed IT objectives and practices that meet compliance with a policy are APO 13, APO 12, BAI 08, BAI 06, BAI 09, APO 14, DSS 02, and APO 07. However, adjustments still need to be made by adding some of the practices that are in line with the characteristics of the organization, which are MEA 03, DSS 05, EDM 03, and BAI 11. This study identifies appropriate IT governance and management objectives in the Province of West Java, Republic of Indonesia
Implementation of The Certainty Factor Method in The Expert System For Early Diagnosis of Dyslexia in Childhood
Full text linkDyslexia is a condition in which a person has difficulty (especially) in areas related to learning abilities such as reading, writing, and arithmetic or matters relating to numbers. This condition is not the skills expected of people with chronological age and normal intelligence abilities or IQ (quality of intelligence). This condition is sometimes not realized by parents and only consider their child slightly delayed, even though it is under standard (minimum) abilities at his age. Therefore, a platform using an expert system with the Certainty Factor method was created to help parents detect early whether their child has dyslexia or not and find out what type of dyslexia the child is experiencing. The types of dyslexia that will be included in this study include surface dyslexia, phonological dyslexia, rapid naming deficit, dysgraphia, and dyscalculia. The white box results found that the system was in line with expectations because it had a low level of risk.Dyslexia is a condition in which a person has difficulty (especially) in areas related to learning abilities such as reading, writing, and arithmetic or matters relating to numbers. This condition is not the skills expected of people with chronological age and normal intelligence abilities or IQ (quality of intelligence). This condition is sometimes not realized by parents and only consider their child slightly delayed, even though it is under standard (minimum) abilities at his age. Therefore, a platform using an expert system with the Certainty Factor method was created to help parents detect early whether their child has dyslexia or not and find out what type of dyslexia the child is experiencing. The types of dyslexia that will be included in this study include surface dyslexia, phonological dyslexia, rapid naming deficit, dysgraphia, and dyscalculia. The white box results found that the system was in line with expectations because it had a low level of risk
Digital Education Game for TK-A Level Students Using Multimedia Development Life Cycle Method
Full text linkCOVID-19 pandemic has changed human life. One of the impacted sectors is education. Ministry of Education urges students to implement distance learning. No exception with early childhood education or Pendidikan Anak Usia Dini (PAUD). Although distance learning has been widely implemented, PAUD sector has the lowest online learning implementation in Indonesia with 13.2% of total 98.4% of PAUD students implementing distance learning, whereas early age is considered capable of gaining an understanding of digital technology and equipment. One possible step in conducting digital learning in PAUD is through a digital educational game, because game is an important element in PAUD. In this study, a digital educational game was developed for TK-A level students using Scratch 3 with multimedia development life cycle method. After development, the game goes through two stages of testing. Alpha testing in the form of black box testing, and beta testing in the form of usability testing with 94,39% result, confidence testing with 97,8% result, and summative evaluation with 90% result on TK-A students, as well as interviews with PAUD teachers. The test results indicate that the game has been successfully developed and is feasible to be played by TK-A students.COVID-19 pandemic has changed human life. One of the impacted sectors is education. Ministry of Education urges students to implement distance learning. No exception with early childhood education or Pendidikan Anak Usia Dini (PAUD). Although distance learning has been widely implemented, PAUD sector has the lowest online learning implementation in Indonesia with 13.2% of total 98.4% of PAUD students implementing distance learning, whereas early age is considered capable of gaining an understanding of digital technology and equipment. One possible step in conducting digital learning in PAUD is through a digital educational game, because game is an important element in PAUD. In this study, a digital educational game was developed for TK-A level students using Scratch 3 with multimedia development life cycle method. After development, the game goes through two stages of testing. Alpha testing in the form of black box testing, and beta testing in the form of usability testing with 94,39% result, confidence testing with 97,8% result, and summative evaluation with 90% result on TK-A students, as well as interviews with PAUD teachers. The test results indicate that the game has been successfully developed and is feasible to be played by TK-A students
A Proposed Model Expert System for Disease Diagnosis in Children to Make Decisions in First Aid
Full text linkChildren have a weaker immune system than adults. They are susceptible to disease. Therefore, this study proposes an expert system model of disease diagnosis in children. We develop expert strategies to meet the needs of alternative diagnostic tools in making decisions and first aid for children suffering from illness. The development of an expert system model for diagnosing children\u27s diseases using forwarding chaining based on If-Then as an inference engine. We chose the forward chaining method because it has a framework for thinking like a doctor\u27s when diagnosing and concluding the disease. We made testing to model by doctors with 35 patients. The test results show that the expert systems model of disease diagnosis in children in this research has to be used as an alternative or comparison diagnostic tool with an accuracy rate of 79%.Children have a weaker immune system than adults. They are susceptible to disease. Therefore, this study proposes an expert system model of disease diagnosis in children. We develop expert strategies to meet the needs of alternative diagnostic tools in making decisions and first aid for children suffering from illness. The development of an expert system model for diagnosing children\u27s diseases using forwarding chaining based on If-Then as an inference engine. We chose the forward chaining method because it has a framework for thinking like a doctor\u27s when diagnosing and concluding the disease. We made testing to model by doctors with 35 patients. The test results show that the expert systems model of disease diagnosis in children in this research has to be used as an alternative or comparison diagnostic tool with an accuracy rate of 79%
Measuring The Success of E-Learning In Universities Using The Technology Acceptance Model
Full text linkThis study aims to determine the factors of acceptance of e-learning technology in students who use the technology acceptance model, namely perceived usefulness (PU), perceived ease of use (PEOU), an attitude of acceptance of use (ATU), and acceptance (IT) of the e-learning acceptance system. The population in this study were students of state Islamic religious institutes who had participated in the e-learning system. The respondents of this study were students of the Ambon State Islamic Institute of Religion, which collected 30 respondents. The method used in this study uses the technology acceptance model method in the process of data processing using quantitative analysis techniques in the process of analyzing data from research results. The analysis results show that the acceptance of e-learning technology by students of the Islamic Institute of Religion is very well received by users of the Ambon State Islamic Institute of Religion students. The study\u27s results showed that the variable utilization percentage of 76.66% was stated to agree strongly. In comparison, the percentage of 61.66% agreed. Attitudes towards users 70.66% agreed. The study\u27s results show that students in the learning process can accept using e-learning systems.This study aims to determine the factors of acceptance of e-learning technology in students who use the technology acceptance model, namely perceived usefulness (PU), perceived ease of use (PEOU), an attitude of acceptance of use (ATU), and acceptance (IT) of the e-learning acceptance system. The population in this study were students of state Islamic religious institutes who had participated in the e-learning system. The respondents of this study were students of the Ambon State Islamic Institute of Religion, which collected 30 respondents. The method used in this study uses the technology acceptance model method in the process of data processing using quantitative analysis techniques in the process of analyzing data from research results. The analysis results show that the acceptance of e-learning technology by students of the Islamic Institute of Religion is very well received by users of the Ambon State Islamic Institute of Religion students. The study\u27s results showed that the variable utilization percentage of 76.66% was stated to agree strongly. In comparison, the percentage of 61.66% agreed. Attitudes towards users 70.66% agreed. The study\u27s results show that students in the learning process can accept using e-learning systems
Integration of UTAUT 2 and Delone & McLean to Evaluate Acceptance of Video Conference Application
Full text linkThis article explores how college students adopt video conferencing software for distance education. This research aims to examine the factors that influence the spread of video conferencing programs in Indonesia. A video conferencing application is a multimedia program that generates audio and visual content to facilitate real-time, two-way communication between its users. Because of COVID-19, classes of all kinds are now being taken online. As a result, more people are turning to tools like video conferencing. Therefore, learning how to access student video conferencing software is crucial. The UTAUT 2 and Delone & McLean models will be integrated into the analysis. A total of 327 people answered the survey. Next, we used the PLS-SEM technique in smart pls 3.0 to analyze the data collected from the respondents. The R-Square value of 26.2% for the retention intent variable and 62.3% for the user satisfaction variable demonstrate that independent variables in the study can explain endogenous variables and that the remaining variance is influenced by factors external to the survey.This article explores how college students adopt video conferencing software for distance education. This research aims to examine the factors that influence the spread of video conferencing programs in Indonesia. A video conferencing application is a multimedia program that generates audio and visual content to facilitate real-time, two-way communication between its users. Because of COVID-19, classes of all kinds are now being taken online. As a result, more people are turning to tools like video conferencing. Therefore, learning how to access student video conferencing software is crucial. The UTAUT 2 and Delone & McLean models will be integrated into the analysis. A total of 327 people answered the survey. Next, we used the PLS-SEM technique in smart pls 3.0 to analyze the data collected from the respondents. The R-Square value of 26.2% for the retention intent variable and 62.3% for the user satisfaction variable demonstrate that independent variables in the study can explain endogenous variables and that the remaining variance is influenced by factors external to the survey
Land-Use Planning for Farming Area in West Java to Divide Allocation of Vegetables Commodity Using Genetic Algorithm Approach
Full text linkThis research has created a model to determine the optimum allocation of land-use planning for farming in West Java by considering the two main components, i.e., production and cost. The method is essential in farming, especially in the COVID-19 situation, as it determines clearly which procedure needs to be involved for land-use farming optimization. The problem of land allocation lies in finding the optimum solution from the multi-objective functions. In this study, the method used to cope with the land-use design problem was the Genetic Algorithm (GA) and its expansion called Nondominated Sorting Genetic Algorithm (NSGA). The research results indicated that the best total fitness in GA and NSGA is relatively the same. It was shown that both NSGA and GA could make a planning scheme optimal for the farming commodities in West Java. Based on the maximum optimum value from the best fitness value of NSGA, around 37.35% of the farmland in West Java, it is the best fit for the big red chili commodity. The city where the land used for extensive red chili farming is found to have the maximum optimum value is Garut, with 98.73% of its total farm area.This research has created a model to determine the optimum allocation of land-use planning for farming in West Java by considering the two main components, i.e., production and cost. The method is essential in farming, especially in the COVID-19 situation, as it determines clearly which procedure needs to be involved for land-use farming optimization. The problem of land allocation lies in finding the optimum solution from the multi-objective functions. In this study, the method used to cope with the land-use design problem was the Genetic Algorithm (GA) and its expansion called Nondominated Sorting Genetic Algorithm (NSGA). The research results indicated that the best total fitness in GA and NSGA is relatively the same. It was shown that both NSGA and GA could make a planning scheme optimal for the farming commodities in West Java. Based on the maximum optimum value from the best fitness value of NSGA, around 37.35% of the farmland in West Java, it is the best fit for the big red chili commodity. The city where the land used for extensive red chili farming is found to have the maximum optimum value is Garut, with 98.73% of its total farm area