Sekapuk Village, Ujungpangkah District, Gresik Regency is the poorest village that has succeeded in becoming a billionaire village through the management of BUMDesa for setigi tourism. This success was able to increase the original income of the village and the economy of the community. This research will validate the application of agile governance in Sekapuk Village to be able to find out the application that has been carried out by the village government in sustainable development. This study aims to describe the application of agile governance in the management of setigi tourism which was previously a former limestone mine excavation and landfill into a tourist attraction of high economic value. This research uses a descriptive type of qualitative research with data collection techniques carried out through observation techniques, interviews, documentation and previous research. Keywords: Sekapuk Village, Village Owned Enterprises, Agile Governance, Setigi Tourism, Tourism. The results showed that BUMDesa Sekapuk has applied the principle of agile governance in managing setigi tourism properly. First, good enough governance, setigi tourism management has included the division of labor, management structure, and has the purpose of tourism development. Second, business driven, it is shown by the sale of tourist shares to the public. Third, human focused, the contribution of the community to the sale of shares in the development of setigi tourism. Fourth, based on quick wins, there is an increase in the original income of the village every year.
{"title":"Implementation of Agile Governance In Optimizing The Potential of Sekapuk Village, Gresik District","authors":"Muhammad Chasan Amruloh, Rumanintya Lisaria Putri","doi":"10.31004/riggs.v1i2.24","DOIUrl":"https://doi.org/10.31004/riggs.v1i2.24","url":null,"abstract":"Sekapuk Village, Ujungpangkah District, Gresik Regency is the poorest village that has succeeded in becoming a billionaire village through the management of BUMDesa for setigi tourism. This success was able to increase the original income of the village and the economy of the community. This research will validate the application of agile governance in Sekapuk Village to be able to find out the application that has been carried out by the village government in sustainable development. This study aims to describe the application of agile governance in the management of setigi tourism which was previously a former limestone mine excavation and landfill into a tourist attraction of high economic value. This research uses a descriptive type of qualitative research with data collection techniques carried out through observation techniques, interviews, documentation and previous research. Keywords: Sekapuk Village, Village Owned Enterprises, Agile Governance, Setigi Tourism, Tourism. The results showed that BUMDesa Sekapuk has applied the principle of agile governance in managing setigi tourism properly. First, good enough governance, setigi tourism management has included the division of labor, management structure, and has the purpose of tourism development. Second, business driven, it is shown by the sale of tourist shares to the public. Third, human focused, the contribution of the community to the sale of shares in the development of setigi tourism. Fourth, based on quick wins, there is an increase in the original income of the village every year. ","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132029764","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}
In this work, it is reported that the development of technology makes the need for electrical energy in recent years has increased very rapid. PT Multidaya Prima Elektrindo is a company engaged in power generation using gas energy sources, namely the Gas Engine Power Plant. with a capacity of 2x6 MW. The energy produced by this plant will later be distributed to consumers through the State Electricity Company. Along with its use, generating machines continuously work for long periods of time. If this continues, there will be overheating of the engine which can cause a trip to the engine, to prevent a trip on the engine, monitoring the cooling system on the engine can prevent overheating which can cause a trip on the engine. By using a cooling system, the performance of the engine at the generator in generating energy is optimal. The processed data is weather data around the PLTG location and characteristic data from the gas turbine. The results of data processing are taken into consideration in choosing a cooling system. Other processing data in the form of cooling load is then used to design the components of the cooling system that will be applied. The results of the study show that reducing the outside air temperature entering the gas turbine compressor to 22 °C, can increase the output power of the PLTG gas turbine by more than 10 MW.
在这项工作中，据报道，技术的发展使得近年来对电能的需求增加得非常迅速。PT Multidaya Prima Elektrindo是一家使用气体能源发电的公司，即燃气发动机发电厂。容量为2x6兆瓦。该厂生产的能源将通过国家电力公司分配给消费者。随着它的使用，发电机器连续工作很长一段时间。如果这种情况持续下去，发动机就会过热，导致发动机熄火，为了防止发动机熄火，监控发动机的冷却系统可以防止过热，从而导致发动机熄火。通过使用冷却系统，发动机在发电机处的发电性能是最佳的。处理后的数据是PLTG位置周围的天气数据和燃气轮机的特征数据。在选择冷却系统时考虑了数据处理的结果。冷却负荷形式的其他处理数据然后用于设计将要应用的冷却系统组件。研究结果表明，将进入燃气轮机压缩机的外部空气温度降低到22℃，可使PLTG燃气轮机的输出功率增加10 MW以上。
{"title":"Cooling System in Machine Operation at Gas Engine Power Plant at PT Multidaya Prima Elektrindo","authors":"Syahrul Ghufron, Soni Prayogi","doi":"10.31004/riggs.v1i2.21","DOIUrl":"https://doi.org/10.31004/riggs.v1i2.21","url":null,"abstract":"\u0000\u0000\u0000In this work, it is reported that the development of technology makes the need for electrical energy in recent years has increased very rapid. PT Multidaya Prima Elektrindo is a company engaged in power generation using gas energy sources, namely the Gas Engine Power Plant. with a capacity of 2x6 MW. The energy produced by this plant will later be distributed to consumers through the State Electricity Company. Along with its use, generating machines continuously work for long periods of time. If this continues, there will be overheating of the engine which can cause a trip to the engine, to prevent a trip on the engine, monitoring the cooling system on the engine can prevent overheating which can cause a trip on the engine. By using a cooling system, the performance of the engine at the generator in generating energy is optimal. The processed data is weather data around the PLTG location and characteristic data from the gas turbine. The results of data processing are taken into consideration in choosing a cooling system. Other processing data in the form of cooling load is then used to design the components of the cooling system that will be applied. The results of the study show that reducing the outside air temperature entering the gas turbine compressor to 22 °C, can increase the output power of the PLTG gas turbine by more than 10 MW.\u0000\u0000\u0000","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114940667","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}
Teguh Rijanandi, Ayu Silvia, Bintang Abillah Safna, Rima Dias Ramadhani
In this era of increasingly rapid technology, the development of information systems is also growing rapidly, because information systems provide what users need. Information is a very valuable thing. When information or data falls into irresponsible hands, it will bring disaster to the owner, and there have been many cases of data leaks in the past that have harmed several parties. There are various ways to protect data or information. Therefore, data security techniques are needed, the message security process is very diverse, including using cryptography. Cryptography aims to scramble messages so that they are difficult to read by unauthorized parties. In this study, we will use the AES 256 encryption method with the waterfall research method to secure KTP images on the Sinovi application, Sinovi is a copyright registration application at the Telkom Institute of Technology Purwokerto. The results of this study are the AES method will convert data or information in the form of plain text into cipher-text then stored in a file to replace the image file so that in this way the image cannot be viewed directly because it must pass the decryption technique first and the research data will be presented. in a table of blackbox testing. It is hoped that a security system like this can protect data from unauthorized parties and further research is expected to have research that tests AES 256 with different methods. https://github.com/teguh02/T-Encryption
在这个技术日益迅速发展的时代，信息系统的发展也在迅速增长，因为信息系统提供了用户所需要的东西。信息是非常宝贵的东西。当信息或数据落入不负责任的人手中时，会给所有者带来灾难，过去发生过许多数据泄露事件，造成多方损失。保护数据或信息的方法有很多种。因此，需要数据安全技术，消息安全处理非常多样化，包括使用加密技术。密码学的目的是打乱信息，使未经授权的各方难以读取。在本研究中，我们将使用AES 256加密方法与瀑布研究方法来保护Sinovi应用程序上的KTP图像，Sinovi是Telkom Institute of Technology purworker的版权注册应用程序。本研究的结果是，AES方法将明文形式的数据或信息转换为密文，然后存储在文件中，以取代图像文件，这样图像就不能直接查看，因为它必须先通过解密技术，研究数据才会呈现出来。在黑盒测试表中。希望像这样的安全系统可以保护数据不受未经授权方的攻击，并期望进一步的研究能够用不同的方法测试AES 256。https://github.com/teguh02/T-Encryption
{"title":"Implementation of Encrypt National ID Card in Sinovi Application Use Waterfall Methodology","authors":"Teguh Rijanandi, Ayu Silvia, Bintang Abillah Safna, Rima Dias Ramadhani","doi":"10.31004/riggs.v1i2.15","DOIUrl":"https://doi.org/10.31004/riggs.v1i2.15","url":null,"abstract":"In this era of increasingly rapid technology, the development of information systems is also growing rapidly, because information systems provide what users need. Information is a very valuable thing. When information or data falls into irresponsible hands, it will bring disaster to the owner, and there have been many cases of data leaks in the past that have harmed several parties. There are various ways to protect data or information. Therefore, data security techniques are needed, the message security process is very diverse, including using cryptography. Cryptography aims to scramble messages so that they are difficult to read by unauthorized parties. In this study, we will use the AES 256 encryption method with the waterfall research method to secure KTP images on the Sinovi application, Sinovi is a copyright registration application at the Telkom Institute of Technology Purwokerto. The results of this study are the AES method will convert data or information in the form of plain text into cipher-text then stored in a file to replace the image file so that in this way the image cannot be viewed directly because it must pass the decryption technique first and the research data will be presented. in a table of blackbox testing. It is hoped that a security system like this can protect data from unauthorized parties and further research is expected to have research that tests AES 256 with different methods. https://github.com/teguh02/T-Encryption","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126198204","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}
The success of government policies in inviting the public and industry to be environmentally conscious at the level of use and produce very high environmentally friendly plastic bags in their daily lives needs to be studied further in a study on Green Purchase Behavior. This study aims to determine the effect of green perceived value on consumers' eco-friendly buying behavior using shopping bags, and the effect of green trust on green purchase behavior of consumers to use eco-friendly shopping bags in modern markets and traditional markets in the city of Jakarta. The research was conducted at modern and traditional markets in the city of Jakarta using 240 respondents who shopped at modern and traditional markets. A model to measure eco-friendly purchasing behavior with reusable shopping bags using two interrelated variables, namely: Green Perceived Value and Green Trust. Data analysis using Structural Equation Modeling (SEM). The results of the analysis and discussion show that green perceived value has a positive and significant effect on green purchase behavior, while green trust has a positive and significant effect on green purchase behavior.
{"title":"Application of Shopping Bag to Consumer Green Purchase Behavior Through Green Trust, and Green Perceived Value","authors":"Adrie Charviandi","doi":"10.31004/riggs.v1i2.22","DOIUrl":"https://doi.org/10.31004/riggs.v1i2.22","url":null,"abstract":"The success of government policies in inviting the public and industry to be environmentally conscious at the level of use and produce very high environmentally friendly plastic bags in their daily lives needs to be studied further in a study on Green Purchase Behavior. This study aims to determine the effect of green perceived value on consumers' eco-friendly buying behavior using shopping bags, and the effect of green trust on green purchase behavior of consumers to use eco-friendly shopping bags in modern markets and traditional markets in the city of Jakarta. The research was conducted at modern and traditional markets in the city of Jakarta using 240 respondents who shopped at modern and traditional markets. A model to measure eco-friendly purchasing behavior with reusable shopping bags using two interrelated variables, namely: Green Perceived Value and Green Trust. Data analysis using Structural Equation Modeling (SEM). The results of the analysis and discussion show that green perceived value has a positive and significant effect on green purchase behavior, while green trust has a positive and significant effect on green purchase behavior.","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132490283","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}
Entrepreneurship learning is also an alternative for students to provide their own attitude and preparation so that they can produce their own jobs. Based on the study of E-learning and problems in the entrepreneurship subject of the Preparatory Private Vocational School, this study aims to determine the effectiveness of the use of E-learning in the entrepreneurship subject of the Preparatory Private Vocational School to improve the learning outcomes of SMK students. This research is expected to be a reference source for teachers and education practitioners to use E-learning media to improve student learning outcomes. The results of this study where XA 0.830, XB 0.865, XC 0.803, and XD 0.919. The results show that the research questionnaire instrument is relevant and the instrument items are declared valid. Analysis of reliability test data is 0.875, which means that greater than 0.70 is said to be reliable (0.875>0.70). It is known that Asymp Sig (2-Tailed) on Shapiro-Wilk XA 0.001, XB 0.017, XC 0.014, and XD 0.003. so that it can be stated that there are two items that are normally distributed, namely XB 0.017 > 0.05, XC 0.014 > 0.05 and there are two items that are not normally distributed, namely XA 0.001 < 0.05, XD 0.003 < 0.05. The e-Learning platform used in this study is the Model Platform. e-learning utilizes distance learning, computer technology and internet networks, where this learning system uses information and communication technology so that students no longer need to be in the classroom to listen.
{"title":"The Effectiveness Of Use Of E-Learning In Entrepreneurship Courses In Private Vocational School, Pematangsiantar City Preparation","authors":"M. Ramadhan","doi":"10.31004/riggs.v1i2.13","DOIUrl":"https://doi.org/10.31004/riggs.v1i2.13","url":null,"abstract":"Entrepreneurship learning is also an alternative for students to provide their own attitude and preparation so that they can produce their own jobs. Based on the study of E-learning and problems in the entrepreneurship subject of the Preparatory Private Vocational School, this study aims to determine the effectiveness of the use of E-learning in the entrepreneurship subject of the Preparatory Private Vocational School to improve the learning outcomes of SMK students. This research is expected to be a reference source for teachers and education practitioners to use E-learning media to improve student learning outcomes. The results of this study where XA 0.830, XB 0.865, XC 0.803, and XD 0.919. The results show that the research questionnaire instrument is relevant and the instrument items are declared valid. Analysis of reliability test data is 0.875, which means that greater than 0.70 is said to be reliable (0.875>0.70). It is known that Asymp Sig (2-Tailed) on Shapiro-Wilk XA 0.001, XB 0.017, XC 0.014, and XD 0.003. so that it can be stated that there are two items that are normally distributed, namely XB 0.017 > 0.05, XC 0.014 > 0.05 and there are two items that are not normally distributed, namely XA 0.001 < 0.05, XD 0.003 < 0.05. The e-Learning platform used in this study is the Model Platform. e-learning utilizes distance learning, computer technology and internet networks, where this learning system uses information and communication technology so that students no longer need to be in the classroom to listen.","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125959723","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}
CS is one of the most important functions of any client-related organization, whether a business or a school (customer service). Notably from the committee responsible for student selection, CS, on the other hand, has a very limited capacity to be handled by humans, which can reduce university satisfaction. Therefore, we require technological assistance, which in this case takes the form of an AI-based chatbot. The objective of this study is to design and develop a chatbot system utilizing NLP (natural language processing) to aid the CS of the new student admissions committee at Pahlawan Tuanku Tambusai University in answering questions from prospective new students. The employed method is dice similarity weighted by TFIDF. The results of the conducted tests indicated that the recall rate was 100 percent and the precision reached 76.92 percent. The evaluation results indicate that the chatbot can effectively respond to questions from prospective students.
{"title":"Dice Similarity and TF-IDF for New Student Admissions Chatbot","authors":"Muhammad Riko Anshori Prasetya, A. M. Priyatno","doi":"10.31004/riggs.v1i1.5","DOIUrl":"https://doi.org/10.31004/riggs.v1i1.5","url":null,"abstract":"\u0000 \u0000 \u0000CS is one of the most important functions of any client-related organization, whether a business or a school (customer service). Notably from the committee responsible for student selection, CS, on the other hand, has a very limited capacity to be handled by humans, which can reduce university satisfaction. Therefore, we require technological assistance, which in this case takes the form of an AI-based chatbot. The objective of this study is to design and develop a chatbot system utilizing NLP (natural language processing) to aid the CS of the new student admissions committee at Pahlawan Tuanku Tambusai University in answering questions from prospective new students. The employed method is dice similarity weighted by TFIDF. The results of the conducted tests indicated that the recall rate was 100 percent and the precision reached 76.92 percent. The evaluation results indicate that the chatbot can effectively respond to questions from prospective students. \u0000 \u0000 \u0000","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129086122","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}
Tomatoes (Lycopersiconeculentum Mill) are vegetables that are widely produced in tropical and subtropic areas. Accordingto (Harllee) tomatoes are grouped into 6 levels of maturity, namely green, breakers, turning, pink, light red, and red. One waythat can be used to classify the level of maturity of tomatoes in the field of informatics is to utilize digital image processingtechniques. This study classifies the maturity of tomatoes using K-Nearest Neighbor (KNN) based on the Red Green Blue andHue Saturation Value color features. The KNN algorithm was chosen as a classification algorithm because KNN is quite simplewith good accuracy based on the minimum distance using Euclidean Distance. The research conducted received the highestaccuracy result of 91.25% at the value of K = 7 with the test data 80. This shows that the KNN algorithm successfully classifiedthe maturity of tomatoes by utilizing the color image of RGB and HSV.
{"title":"Classification Of Tomato Maturity Levels Based on RGB And HSV Colors Using KNN Algorithm","authors":"Lidya Ningsih, P. Cholidhazia","doi":"10.31004/riggs.v1i1.10","DOIUrl":"https://doi.org/10.31004/riggs.v1i1.10","url":null,"abstract":"Tomatoes (Lycopersiconeculentum Mill) are vegetables that are widely produced in tropical and subtropic areas. Accordingto (Harllee) tomatoes are grouped into 6 levels of maturity, namely green, breakers, turning, pink, light red, and red. One waythat can be used to classify the level of maturity of tomatoes in the field of informatics is to utilize digital image processingtechniques. This study classifies the maturity of tomatoes using K-Nearest Neighbor (KNN) based on the Red Green Blue andHue Saturation Value color features. The KNN algorithm was chosen as a classification algorithm because KNN is quite simplewith good accuracy based on the minimum distance using Euclidean Distance. The research conducted received the highestaccuracy result of 91.25% at the value of K = 7 with the test data 80. This shows that the KNN algorithm successfully classifiedthe maturity of tomatoes by utilizing the color image of RGB and HSV.","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126956347","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}
Muhammad Muharrom Al Haromainy, Aviolla Terza Damaliana, Abdul Rezha Efrat Najaf, Reisa Permatasari
The world today has a rapidly growing human population whose daily needs are certainly increasing. Supermarket is a place to fulfill daily needs. When going to the supermarket, we have to spend a lot of time both shopping and also queuing at the cashier. This turns out to be a problem for customers because it can take up customers' time which is also experienced by one of the largest supermarkets, namely Hypermart. Not only a problem for customers, but it can also create a threat to Hypermart companies. However, with advances in technology and information systems, the world is growing to adapt to current conditions, namely by improvising. The improvisation carried out in this research is the payment transaction business process at Hypermart, namely by implementing the Self-CheckOut system by replacing the old trolley with a "Hyper Smart Cart" as an improvisation which will certainly answer all existing problems.
{"title":"Hyper Smart Cart As Hypermart Business Process Improvement In Minimizing In-Efficiency At The Cashier","authors":"Muhammad Muharrom Al Haromainy, Aviolla Terza Damaliana, Abdul Rezha Efrat Najaf, Reisa Permatasari","doi":"10.31004/riggs.v1i1.3","DOIUrl":"https://doi.org/10.31004/riggs.v1i1.3","url":null,"abstract":"The world today has a rapidly growing human population whose daily needs are certainly increasing. Supermarket is a place to fulfill daily needs. When going to the supermarket, we have to spend a lot of time both shopping and also queuing at the cashier. This turns out to be a problem for customers because it can take up customers' time which is also experienced by one of the largest supermarkets, namely Hypermart. Not only a problem for customers, but it can also create a threat to Hypermart companies. However, with advances in technology and information systems, the world is growing to adapt to current conditions, namely by improvising. The improvisation carried out in this research is the payment transaction business process at Hypermart, namely by implementing the Self-CheckOut system by replacing the old trolley with a \"Hyper Smart Cart\" as an improvisation which will certainly answer all existing problems.","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126161676","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 determine and analyze the effect of service quality on customer satisfaction. The analysis in this study uses the independent variable of service quality. The dependent variable is customer satisfaction. The sample of this research is the students of the Master's Institute. The sample is carried out using a non-probability sampling technique, which is sampling that does not provide equal opportunities or opportunities for each member of the population to be selected as a sample. Data collection techniques were carried out by means of questionnaires and interviews. The total population at the Master's Institute is 3004 and the sample obtained is 97 people. The results obtained that the t value is known to have a t-count of 7.920 > t-table 0.199, so it can be concluded that the service quality variable (X) has a significant effect on the consumer satisfaction variable (Y). The results obtained that the R2 value of the coefficient of determination is found in the Adjusted R Square of 0.391. This means that the ability of the independent variable to explain the dependent variable is 39.1%, the remaining 61.9% is explained by other variables not discussed in this study.
{"title":"The Effect of Service Quality on Shopee Customer Satisfaction on Students of the Technology and Business Master Institute Pekanbaru","authors":"Mohd Winario, Muhammad Mardiansyah","doi":"10.31004/riggs.v1i1.6","DOIUrl":"https://doi.org/10.31004/riggs.v1i1.6","url":null,"abstract":"This study aims to determine and analyze the effect of service quality on customer satisfaction. The analysis in this study uses the independent variable of service quality. The dependent variable is customer satisfaction. The sample of this research is the students of the Master's Institute. The sample is carried out using a non-probability sampling technique, which is sampling that does not provide equal opportunities or opportunities for each member of the population to be selected as a sample. Data collection techniques were carried out by means of questionnaires and interviews. The total population at the Master's Institute is 3004 and the sample obtained is 97 people. The results obtained that the t value is known to have a t-count of 7.920 > t-table 0.199, so it can be concluded that the service quality variable (X) has a significant effect on the consumer satisfaction variable (Y). The results obtained that the R2 value of the coefficient of determination is found in the Adjusted R Square of 0.391. This means that the ability of the independent variable to explain the dependent variable is 39.1%, the remaining 61.9% is explained by other variables not discussed in this study.","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128921362","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}
Sentiment analysis is currently widely used in natural language processing or information retrieval applications. Sentiment analysis analysis can provide information related to outstanding financial news headlines and provide input to the company. Positive sentiment will also have a good impact on the development of the company, but negative sentiment will damage the company's reputation. This will affect the company's development. This study compares machine learning methods on financial news headlines with n-gram feature extraction. The purpose of this study was to obtain the best method for classifying the headline sentiment of the company's financial news. The machine learning methods compared are Multinomial Naïve Bayes, Logistic Regression, Support Vector Machine, multi-layer perceptron (MLP), Stochastic Gradient Descent, and Decision Trees. The results show that the best method is logistic regression with a percentage of f1-measure, precision, and recal of 73.94 %, 73.94 %, and 74.63 %. This shows that the n-gram and machine learning features have successfully carried out sentiment analysis.
{"title":"N-Gram Feature for Comparison of Machine Learning Methods on Sentiment in Financial News Headlines","authors":"A. M. Priyatno, Fahmi Iqbal Firmananda","doi":"10.31004/riggs.v1i1.4","DOIUrl":"https://doi.org/10.31004/riggs.v1i1.4","url":null,"abstract":"\u0000 \u0000 \u0000Sentiment analysis is currently widely used in natural language processing or information retrieval applications. Sentiment analysis analysis can provide information related to outstanding financial news headlines and provide input to the company. Positive sentiment will also have a good impact on the development of the company, but negative sentiment will damage the company's reputation. This will affect the company's development. This study compares machine learning methods on financial news headlines with n-gram feature extraction. The purpose of this study was to obtain the best method for classifying the headline sentiment of the company's financial news. The machine learning methods compared are Multinomial Naïve Bayes, Logistic Regression, Support Vector Machine, multi-layer perceptron (MLP), Stochastic Gradient Descent, and Decision Trees. The results show that the best method is logistic regression with a percentage of f1-measure, precision, and recal of 73.94 %, 73.94 %, and 74.63 %. This shows that the n-gram and machine learning features have successfully carried out sentiment analysis. \u0000 \u0000 \u0000","PeriodicalId":354426,"journal":{"name":"RIGGS: Journal of Artificial Intelligence and Digital Business","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132483714","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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