Pub Date : 2022-11-30DOI: 10.31940/matrix.v12i3.137-146
Bayu Nadya Kusuma, Dian Budhi Santoso
Clouds become an important part of human life and are studied in several disciplines in the form of important analyses in some applications. Examples of application of cloud analysis on solar panels or photovoltaics, accurate weather forecasts, accuracy of rainfall predictions, application in the field of meteorology, imaging of the sky in some cases, air humidity survey, and the case of turbulence on Aircraft caused by clouds cumulonimbus. The structure and shape of the clouds are continuously changing, becoming an interesting part to detect. The cloud detection process can be done by taking several samples of imagery from the cloud and the image processing process is done. Most research processes RGB cloud imagery into HSV cloud imagery, Some research using the image detection method of flying apply the channel's convolution R-B, R/B, ????−????????+????, dan chroma C = max(R, G, B)-min(R, G, B). Gamma correction has an efficient characteristic of storing and dividing imagery by small bits, thus the study proposed an image detection development using automatic gamma correction, with ground truth being Image data from SWIMSEG Nanyang Technological University Singapore. The proposed method in the proposed study obtained a precision value and better computing time with a precision value of 0.93 and a computational time of 0.71 sec.
{"title":"Improvement of the automatic gamma correction method in cloud image detection","authors":"Bayu Nadya Kusuma, Dian Budhi Santoso","doi":"10.31940/matrix.v12i3.137-146","DOIUrl":"https://doi.org/10.31940/matrix.v12i3.137-146","url":null,"abstract":"Clouds become an important part of human life and are studied in several disciplines in the form of important analyses in some applications. Examples of application of cloud analysis on solar panels or photovoltaics, accurate weather forecasts, accuracy of rainfall predictions, application in the field of meteorology, imaging of the sky in some cases, air humidity survey, and the case of turbulence on Aircraft caused by clouds cumulonimbus. The structure and shape of the clouds are continuously changing, becoming an interesting part to detect. The cloud detection process can be done by taking several samples of imagery from the cloud and the image processing process is done. Most research processes RGB cloud imagery into HSV cloud imagery, Some research using the image detection method of flying apply the channel's convolution R-B, R/B, ????−????????+????, dan chroma C = max(R, G, B)-min(R, G, B). Gamma correction has an efficient characteristic of storing and dividing imagery by small bits, thus the study proposed an image detection development using automatic gamma correction, with ground truth being Image data from SWIMSEG Nanyang Technological University Singapore. The proposed method in the proposed study obtained a precision value and better computing time with a precision value of 0.93 and a computational time of 0.71 sec.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"106 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83431792","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 : 2022-11-30DOI: 10.31940/matrix.v12i3.117-122
Azra Ariel Azmir, N. Wirastuti, Komang Oka Saputra
Clock skew is the deviation of the clock from the true time, which makes it an important role in time information. Clock skew is unavoidable and causes each clock to run at a different speed, so there is a very slight difference between them, but it can still be observed properly. The known properties of clock skew make it potential research for many experts, such as Paxson, Aoki, and Huang. To produce a more accurate clock skew measurement, this study uses the ant colony optimization method by adopting the behavior of an ant colony in searching for food by choosing the path with the shortest route, which will become the cluster offset as a material for measuring clock skew. Ant colony optimization method has the most potential to be adapted in clock skew measurement because the cluster offset is not affected by the upper and the bottom outliers to produce an accurate clock skew measurement.
{"title":"Review methods for clock skew measurement","authors":"Azra Ariel Azmir, N. Wirastuti, Komang Oka Saputra","doi":"10.31940/matrix.v12i3.117-122","DOIUrl":"https://doi.org/10.31940/matrix.v12i3.117-122","url":null,"abstract":"Clock skew is the deviation of the clock from the true time, which makes it an important role in time information. Clock skew is unavoidable and causes each clock to run at a different speed, so there is a very slight difference between them, but it can still be observed properly. The known properties of clock skew make it potential research for many experts, such as Paxson, Aoki, and Huang. To produce a more accurate clock skew measurement, this study uses the ant colony optimization method by adopting the behavior of an ant colony in searching for food by choosing the path with the shortest route, which will become the cluster offset as a material for measuring clock skew. Ant colony optimization method has the most potential to be adapted in clock skew measurement because the cluster offset is not affected by the upper and the bottom outliers to produce an accurate clock skew measurement.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87531898","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 : 2022-11-30DOI: 10.31940/matrix.v12i3.123-136
E. S. Soegoto, L. Warlina, S. Supatmi, Agis Abhi Rafdhi, R. Jumansyah, H. Saputra
Garut Regency’s agriculture sector has the most impact on the region’s GDP compared to other sectors. The Central Statistics Agency reports that the agricultural sector’s contribution was 39.11% in 2014 and will be 37.97% in 2020. The farmer’s inability to manage their crop goods is the primary cause of the contribution decline. The study aims to build a prototype of a mobile application information system for planting and harvesting. commodities based on a geospatial information system. The research method used was field surveys, interviews, and focus group discussions (FGD) with farmers, farmer group leaders, agricultural extension workers, and officials at Garut Regency Agriculture Office. The designed application is Sitampan which stands for Sistem Informasi Tanam dan Panen (Planting and Harvesting Information System). The users of this application are farmers, farmer group leaders, agricultural extension workers, and Garut Regency Agriculture Office. Each user will have a specific role and access based on their roles. The public can only see the data contained in this application. In conclusion, this app can serve as a platform for information and communication for farmers. Farmers can use this app as a decision-making tool to manage their crops, including when to sell, plant, and harvest. Hopefully, this application will enhance the welfare of farmers, particularly those in Garut district, one of the industries that have the most impact on the Indonesian agricultural sector.
与其他部门相比，Garut Regency的农业部门对该地区GDP的影响最大。中央统计局报告称，2014年农业部门的贡献为39.11%，到2020年将达到37.97%。农民没有能力管理他们的农作物是贡献下降的主要原因。该研究旨在建立一个用于种植和收获的移动应用信息系统的原型。商品基于地理空间信息系统。研究方法为实地调查、访谈和焦点小组讨论(FGD)，参与者包括农民、农民团体领导、农业推广工作者和Garut regent Agriculture Office的官员。设计的应用程序是Sitampan，它代表System Informasi Tanam dan Panen(种植和收获信息系统)。该应用程序的用户是农民、农民团体领导、农业推广工作者和Garut Regency农业办公室。每个用户将有一个特定的角色，并根据他们的角色访问。公众只能看到这个应用程序中包含的数据。综上所述，这款app可以作为农民的信息交流平台。农民可以使用这款应用作为管理作物的决策工具，包括何时出售、种植和收获。希望这一应用程序将提高农民的福利，特别是加鲁特地区的农民，这是对印度尼西亚农业部门影响最大的行业之一。
{"title":"SITAMPAN: Mobile application for planting and harvesting of horticultural crops in Garut Regency","authors":"E. S. Soegoto, L. Warlina, S. Supatmi, Agis Abhi Rafdhi, R. Jumansyah, H. Saputra","doi":"10.31940/matrix.v12i3.123-136","DOIUrl":"https://doi.org/10.31940/matrix.v12i3.123-136","url":null,"abstract":"Garut Regency’s agriculture sector has the most impact on the region’s GDP compared to other sectors. The Central Statistics Agency reports that the agricultural sector’s contribution was 39.11% in 2014 and will be 37.97% in 2020. The farmer’s inability to manage their crop goods is the primary cause of the contribution decline. The study aims to build a prototype of a mobile application information system for planting and harvesting. commodities based on a geospatial information system. The research method used was field surveys, interviews, and focus group discussions (FGD) with farmers, farmer group leaders, agricultural extension workers, and officials at Garut Regency Agriculture Office. The designed application is Sitampan which stands for Sistem Informasi Tanam dan Panen (Planting and Harvesting Information System). The users of this application are farmers, farmer group leaders, agricultural extension workers, and Garut Regency Agriculture Office. Each user will have a specific role and access based on their roles. The public can only see the data contained in this application. In conclusion, this app can serve as a platform for information and communication for farmers. Farmers can use this app as a decision-making tool to manage their crops, including when to sell, plant, and harvest. Hopefully, this application will enhance the welfare of farmers, particularly those in Garut district, one of the industries that have the most impact on the Indonesian agricultural sector.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86263650","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 : 2022-11-30DOI: 10.31940/matrix.v12i3.147-154
I. Parti, S. Suratno, N. W. Rasmini
Electrical energy is a very complex problem for every country in the world, as well as in Indonesia in particular, with the rapid progress of the country’s industry, of course, followed by an increase in the generation of electrical energy. While the current energy generation most often comes from fossil fuels, which are increasingly depleting, the energy supply will decrease and increase sales. Therefore, every country is competing to find other energy for electrical energy generation. Renewable energy is a green energy generator whose supply is abundant and inexhaustible. Solar power plants (PLTS) are one of the green energies developed by the Indonesian government to utilize energy derived from non-fossil fuels. To support this, it is necessary to study and research to be done using the DC-DC up/down converter is expected to obtain results that can be used as a reference in the development of solar power plants (PLTS). With a DC-DC up/down converter, the voltage stabilization produced by PLTS can be stabilized by a DC-DC converter from 9 volts DC to 11.5 volts for a minimum voltage. Above 12 volts to 18 volts, up to 12 volts can be stabilized.
{"title":"Optimization of Off-Grid Solar Generating System With DC-DC Converter","authors":"I. Parti, S. Suratno, N. W. Rasmini","doi":"10.31940/matrix.v12i3.147-154","DOIUrl":"https://doi.org/10.31940/matrix.v12i3.147-154","url":null,"abstract":"Electrical energy is a very complex problem for every country in the world, as well as in Indonesia in particular, with the rapid progress of the country’s industry, of course, followed by an increase in the generation of electrical energy. While the current energy generation most often comes from fossil fuels, which are increasingly depleting, the energy supply will decrease and increase sales. Therefore, every country is competing to find other energy for electrical energy generation. Renewable energy is a green energy generator whose supply is abundant and inexhaustible. Solar power plants (PLTS) are one of the green energies developed by the Indonesian government to utilize energy derived from non-fossil fuels. To support this, it is necessary to study and research to be done using the DC-DC up/down converter is expected to obtain results that can be used as a reference in the development of solar power plants (PLTS). With a DC-DC up/down converter, the voltage stabilization produced by PLTS can be stabilized by a DC-DC converter from 9 volts DC to 11.5 volts for a minimum voltage. Above 12 volts to 18 volts, up to 12 volts can be stabilized.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"640 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76822316","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 : 2022-11-30DOI: 10.31940/matrix.v12i3.109-116
Rifqi Hammad, V. C. Hardita, Ahmad Zuli Amrullah
The rapid and widespread dissemination of information currently affects the tourism sector. One tourist area that is quite widely discussed is the Mandalika Circuit. Twitter is one platform that provides comments related to the Mandalika Circuit. The amount of information related to the Mandalika Circuit is currently not being utilized properly by managers (government or private). It causes many topics related to the Mandalika Circuit that are currently trending, and public sentiment regarding the Mandalika Circuit is unknown to the government or private sector. Ignorance can result in delays in decision making which can harm the manager. To overcome this problem, research on sentiment analysis and topic modeling related to the Mandalika Circuit was carried out. The sentiment analysis method used is SVM and for modeling using LDA. Based on the results of the sentiment analysis, 1500 tweets were obtained before doing the pre-processing process, thus getting a dataset of 500 tweets divided into 398 positive and 102 negative tweets. So it can be concluded that more Twitter users give positive than negative responses to the Mandalika Circuit. The test results show that the SVM algorithm can classify sentiment toward the Mandalika Circuit well, as indicated by the measurement of the performance of the SVM algorithm, namely 87% accuracy, 77% precision, 84.81% recall, and 98.52% specificity. These results also show that the F1 Score compares the average precision and recall, which is weighted at 80.72%.
{"title":"Topic modeling and sentiment analysis about Mandalika on social media using the latent Dirichlet allocation method","authors":"Rifqi Hammad, V. C. Hardita, Ahmad Zuli Amrullah","doi":"10.31940/matrix.v12i3.109-116","DOIUrl":"https://doi.org/10.31940/matrix.v12i3.109-116","url":null,"abstract":"The rapid and widespread dissemination of information currently affects the tourism sector. One tourist area that is quite widely discussed is the Mandalika Circuit. Twitter is one platform that provides comments related to the Mandalika Circuit. The amount of information related to the Mandalika Circuit is currently not being utilized properly by managers (government or private). It causes many topics related to the Mandalika Circuit that are currently trending, and public sentiment regarding the Mandalika Circuit is unknown to the government or private sector. Ignorance can result in delays in decision making which can harm the manager. To overcome this problem, research on sentiment analysis and topic modeling related to the Mandalika Circuit was carried out. The sentiment analysis method used is SVM and for modeling using LDA. Based on the results of the sentiment analysis, 1500 tweets were obtained before doing the pre-processing process, thus getting a dataset of 500 tweets divided into 398 positive and 102 negative tweets. So it can be concluded that more Twitter users give positive than negative responses to the Mandalika Circuit. The test results show that the SVM algorithm can classify sentiment toward the Mandalika Circuit well, as indicated by the measurement of the performance of the SVM algorithm, namely 87% accuracy, 77% precision, 84.81% recall, and 98.52% specificity. These results also show that the F1 Score compares the average precision and recall, which is weighted at 80.72%.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82548256","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}
Patient data is one of the datasets managed by the hospital. Patient data in the form of examination results and other data is important data that is private and confidential. Therefore, patient data needs to be secured so that there is no misuse of data by parties who are not responsible for things that can harm the data owner. One of the several methods that can be used to secure data is cryptography. Cryptography itself has several algorithms, one of which is blowfish. This study applies the blowfish algorithm to secure patient data in the database to reduce the possibility of data misuse by irresponsible parties. This study succeeded in implementing the blowfish algorithm for securing patient data. The data stored in the database is the result of encryption using the blowfish algorithm, the results of which are difficult to understand because there is a combination of symbols and text. The application of the algorithm affects the data storage time in the database, which originally took 0.12 seconds to save data and now takes 0.28 seconds to store data.
{"title":"Application of the Blowfish Algorithm in securing patient data in the database","authors":"Pahrul Irfan, Rifqi Hammad, Andi Sofyan Anas, Fatimatuzzahra Fatimatuzzahra, Nanang Samudra","doi":"10.31940/matrix.v12i2.102-108","DOIUrl":"https://doi.org/10.31940/matrix.v12i2.102-108","url":null,"abstract":"Patient data is one of the datasets managed by the hospital. Patient data in the form of examination results and other data is important data that is private and confidential. Therefore, patient data needs to be secured so that there is no misuse of data by parties who are not responsible for things that can harm the data owner. One of the several methods that can be used to secure data is cryptography. Cryptography itself has several algorithms, one of which is blowfish. This study applies the blowfish algorithm to secure patient data in the database to reduce the possibility of data misuse by irresponsible parties. This study succeeded in implementing the blowfish algorithm for securing patient data. The data stored in the database is the result of encryption using the blowfish algorithm, the results of which are difficult to understand because there is a combination of symbols and text. The application of the algorithm affects the data storage time in the database, which originally took 0.12 seconds to save data and now takes 0.28 seconds to store data.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76976688","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 : 2022-07-31DOI: 10.31940/matrix.v12i2.58-67
Inggrid Yanuar Risca Pratiwi
Information and communication technology that’s developing is one of the main triggers of the information explosion today. Nowadays, various news content is not only easy to obtain but also easy to produce through various platforms on the internet, including popular online media, such as blogs and websites. So a lot of news content on blogs and websites that are currently being circulated leads to fake news content (hoaxes) that can mislead the perception and thoughts of the readers. Therefore, it is important to develop a system that can detect the presence of fake news content to minimize the losses caused by the presence of fake news content. In this study, the Naive Bayes algorithm is proposed as a machine learning model that will be used to detect fake news content in Indonesian language online media. As a result, the global accuracy value reached 71% with recall, precision, and F1-Score values as a whole above 70% which indicates that the proposed model can detect fake news content quite well.
{"title":"Hoax news identification using machine learning model from online media in Bahasa Indonesia","authors":"Inggrid Yanuar Risca Pratiwi","doi":"10.31940/matrix.v12i2.58-67","DOIUrl":"https://doi.org/10.31940/matrix.v12i2.58-67","url":null,"abstract":"Information and communication technology that’s developing is one of the main triggers of the information explosion today. Nowadays, various news content is not only easy to obtain but also easy to produce through various platforms on the internet, including popular online media, such as blogs and websites. So a lot of news content on blogs and websites that are currently being circulated leads to fake news content (hoaxes) that can mislead the perception and thoughts of the readers. Therefore, it is important to develop a system that can detect the presence of fake news content to minimize the losses caused by the presence of fake news content. In this study, the Naive Bayes algorithm is proposed as a machine learning model that will be used to detect fake news content in Indonesian language online media. As a result, the global accuracy value reached 71% with recall, precision, and F1-Score values as a whole above 70% which indicates that the proposed model can detect fake news content quite well.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"432 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78150543","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 : 2022-07-31DOI: 10.31940/matrix.v12i2.91-101
Ellin Devihana Pratiwi, Hendrik Amrico
Digital transformation in education improves entities by implementing significant changes in education by combining information technology, computing, communication, and coordination. This paper proposes improving education through a digital transformation through platforms, specifically online skills-based learning called ASAH Skill. The survey was conducted by collecting question data from Google Forms. By using the Problem Validation method and Primary Data, obtained Product Validation on Customer Needs (Survey) and Product Strategy (Affinity Diagram). It is a market-based validation as a guide for designing ASAH Skill products that meet the criteria and needs of Skill Providers and Seekers. The method considered consists of three steps, namely strategic situation analysis (SSA), strategy formulation (SF), and strategy implementation (SI). We have finally found what customers need to develop their skills during the isolation period of the covid-19 pandemic. The survey was conducted on 51 respondents. Strategic Implementation consists of Mockup, Business Model Canvas (BMC), and Problem Solution Fit Canvas. The biggest detention experienced by respondents was very limited mobility (82.4%). The survey also showed that most of the activities respondents did during the pandemic were exploring new things (37.3%). Video editing is the most learned skill during the pandemic (25.9%), and YouTube is the respondents' main choice as a medium for learning skills (43.1%). Overall, the results of the study show that dispensing and learning skills are a new need for society during a pandemic. The provision of a platform is a development opportunity as a forum for the dissemination and learning of skills. The highest priority is on the 'easy to use' attribute where all respondents give an importance rating of 5.
{"title":"Asah skill: An approach skill-based learning platform with management and strategic planning process","authors":"Ellin Devihana Pratiwi, Hendrik Amrico","doi":"10.31940/matrix.v12i2.91-101","DOIUrl":"https://doi.org/10.31940/matrix.v12i2.91-101","url":null,"abstract":"Digital transformation in education improves entities by implementing significant changes in education by combining information technology, computing, communication, and coordination. This paper proposes improving education through a digital transformation through platforms, specifically online skills-based learning called ASAH Skill. The survey was conducted by collecting question data from Google Forms. By using the Problem Validation method and Primary Data, obtained Product Validation on Customer Needs (Survey) and Product Strategy (Affinity Diagram). It is a market-based validation as a guide for designing ASAH Skill products that meet the criteria and needs of Skill Providers and Seekers. The method considered consists of three steps, namely strategic situation analysis (SSA), strategy formulation (SF), and strategy implementation (SI). We have finally found what customers need to develop their skills during the isolation period of the covid-19 pandemic. The survey was conducted on 51 respondents. Strategic Implementation consists of Mockup, Business Model Canvas (BMC), and Problem Solution Fit Canvas. The biggest detention experienced by respondents was very limited mobility (82.4%). The survey also showed that most of the activities respondents did during the pandemic were exploring new things (37.3%). Video editing is the most learned skill during the pandemic (25.9%), and YouTube is the respondents' main choice as a medium for learning skills (43.1%). Overall, the results of the study show that dispensing and learning skills are a new need for society during a pandemic. The provision of a platform is a development opportunity as a forum for the dissemination and learning of skills. The highest priority is on the 'easy to use' attribute where all respondents give an importance rating of 5.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89536464","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 : 2022-07-31DOI: 10.31940/matrix.v12i2.68-78
K. J. Tute, M. Londa, Anastasia Mude
The University of Flores first conducted E-Learning learning amid the covid 19 pandemic, the problem faced was that most of the lecturers at the University of Flores did not understand E-learning by using information technology. The Faculty of Information Technology facilitated all faculties at the university to conduct e-training. E-Learning, in the learning process. The aim is to measure success in implementing the University of Flores E-Learning information system. The model in this study is the Delone and Mclean model to measure success with six dimensions, namely, system quality, information quality, users, service quality, user satisfaction, net benefits. The method in this research is observation, a survey using questionnaires in the form of a Likert scale, and a literature study. The data analysis technique used simple linear regression. The results showed that the Delone and Mclean models were very well used to measure the success of using e-learning. The conclusion is that the quality of information on the use percentage of 34.4%, the quality of service they use of 33.8%, the quality of the system on the satisfaction of the users is 38.6%, and the quality of the services on the satisfaction of the users 34,5%, the users on the satisfaction of the users 43,4%, use of net benefits is 58.7% and user satisfaction of net benefits is 48.8%. The higher the value of these variables, the higher the success rate of information systems using E-learning at universities will be.
{"title":"Delone and McLean Models for measuring the success of Flores University e-learning information system","authors":"K. J. Tute, M. Londa, Anastasia Mude","doi":"10.31940/matrix.v12i2.68-78","DOIUrl":"https://doi.org/10.31940/matrix.v12i2.68-78","url":null,"abstract":"The University of Flores first conducted E-Learning learning amid the covid 19 pandemic, the problem faced was that most of the lecturers at the University of Flores did not understand E-learning by using information technology. The Faculty of Information Technology facilitated all faculties at the university to conduct e-training. E-Learning, in the learning process. The aim is to measure success in implementing the University of Flores E-Learning information system. The model in this study is the Delone and Mclean model to measure success with six dimensions, namely, system quality, information quality, users, service quality, user satisfaction, net benefits. The method in this research is observation, a survey using questionnaires in the form of a Likert scale, and a literature study. The data analysis technique used simple linear regression. The results showed that the Delone and Mclean models were very well used to measure the success of using e-learning. The conclusion is that the quality of information on the use percentage of 34.4%, the quality of service they use of 33.8%, the quality of the system on the satisfaction of the users is 38.6%, and the quality of the services on the satisfaction of the users 34,5%, the users on the satisfaction of the users 43,4%, use of net benefits is 58.7% and user satisfaction of net benefits is 48.8%. The higher the value of these variables, the higher the success rate of information systems using E-learning at universities will be.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81689765","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 : 2022-07-31DOI: 10.31940/matrix.v12i2.79-90
Itsnanta Muhammad Fauzan, A. Ihsan, Farhan Annur Mahmudi, Amirsyah Rayhan Mubarak, C. Apriono
The telecommunications industry plays a role in meeting the needs of digital connectivity services to the community, especially in line with the community's need for internet connections which is increasing rapidly. As one of the telecommunications service operators in Indonesia, "PT. MNO Indonesia" must meet this need to get maximum profit and the best service to the customers with the right business strategy. However, the current connectivity business model is still the mainstay, with revenue levels that tend to stagnate and even experience a decline. The provision of network services and investment in infrastructure development are still the main concerns, so a change in business strategy is needed. This study proposes several recommendations for business strategies to increase revenue based on reviewing and analyzing financial data and statistics for Indonesian and international telecommunications businesses. In this study, financial report data and digital sector statistical data were analyzed and divided into four aspects: traffic, finance, network development, and digital service with the min-max method, standard deviation, and average. From the analysis conducted in this research, "PT. MNO Indonesia" needs to transform its business into digital business model.
{"title":"Business transformation from connectivity to digital: case study “PT. MNO Indonesia”","authors":"Itsnanta Muhammad Fauzan, A. Ihsan, Farhan Annur Mahmudi, Amirsyah Rayhan Mubarak, C. Apriono","doi":"10.31940/matrix.v12i2.79-90","DOIUrl":"https://doi.org/10.31940/matrix.v12i2.79-90","url":null,"abstract":"The telecommunications industry plays a role in meeting the needs of digital connectivity services to the community, especially in line with the community's need for internet connections which is increasing rapidly. As one of the telecommunications service operators in Indonesia, \"PT. MNO Indonesia\" must meet this need to get maximum profit and the best service to the customers with the right business strategy. However, the current connectivity business model is still the mainstay, with revenue levels that tend to stagnate and even experience a decline. The provision of network services and investment in infrastructure development are still the main concerns, so a change in business strategy is needed. This study proposes several recommendations for business strategies to increase revenue based on reviewing and analyzing financial data and statistics for Indonesian and international telecommunications businesses. In this study, financial report data and digital sector statistical data were analyzed and divided into four aspects: traffic, finance, network development, and digital service with the min-max method, standard deviation, and average. From the analysis conducted in this research, \"PT. MNO Indonesia\" needs to transform its business into digital business model.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86520451","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：