Pub Date : 2022-05-28DOI: 10.33005/ijdasea.v2i1.20
Abdul Azzam Ajhari, Albertus E.K. Gunawan, Budi Candra, Bona T. Munthe
Significant population growth has been an issue lately. This means that crop production should be increased significantly to cater to the growing number of people. With less land to grow it on, changing climate and depletion of viable farmland, big data has been considered a promising approach to solve the problem. This main contribution of this study is to provide overview of the benefits of big data implementation in agriculture and the stakeholders involved by performing asystematic literature review on relevant papers. This study reveals that big data implementation brings benefits such as increase in revenue, support for sustainable agriculture, and support for data driven decision making. For successfulimplementation, stakeholders’ involvement from various sectors are needed.
{"title":"A Review on Big Data Implementation in Agriculture","authors":"Abdul Azzam Ajhari, Albertus E.K. Gunawan, Budi Candra, Bona T. Munthe","doi":"10.33005/ijdasea.v2i1.20","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.20","url":null,"abstract":"Significant population growth has been an issue lately. This means that crop production should be increased significantly to cater to the growing number of people. With less land to grow it on, changing climate and depletion of viable farmland, big data has been considered a promising approach to solve the problem. This main contribution of this study is to provide overview of the benefits of big data implementation in agriculture and the stakeholders involved by performing asystematic literature review on relevant papers. This study reveals that big data implementation brings benefits such as increase in revenue, support for sustainable agriculture, and support for data driven decision making. For successfulimplementation, stakeholders’ involvement from various sectors are needed.","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129957113","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 : 2022-05-28DOI: 10.33005/ijdasea.v2i1.18
Anindo Saka Fitri, Seftin Fitri Ana Wati, E. M. Safitri, Anita Wulansari, Dhian Satria Yudha Kartika
Micro, Small, and Medium Enterprises (MSMEs) play an important role in the economic development of many cities around the world. The role of MSMEs can encourage equitable economic development which is one of the main pillars of the ASEAN Economic Community (AEC). But unfortunately, there are still many people who do not know how to market a new product and have a large market potential by using internet technology. The ongoing COVID-19 pandemic is causing changes in individual habits which also has the opportunity to permanently influence market developments in the coming years. Many people choose to shop online using e-commerce. The role of e-commerce is very influential in improving the performance of MSMEs. There are several variables in the successful use of e-commerce, including internal and external inhibiting and supporting variables. This study applies the system dynamics method to link the variables of success in the use of e-commerce with variables related to the performance of MSMEs. The results of this study are the success of the use of e-commerce is interrelated with marketing and innovation capability which has a positive effect on the performance of MSMEs. This research is expected to increase the success of using e-commerce in MSMEs, especially in Indonesia.
{"title":"Implementation of System Dynamics to Increase Successful Utilization of E-Commerce with Marketing and Innovation Capability in MSMEs","authors":"Anindo Saka Fitri, Seftin Fitri Ana Wati, E. M. Safitri, Anita Wulansari, Dhian Satria Yudha Kartika","doi":"10.33005/ijdasea.v2i1.18","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.18","url":null,"abstract":"Micro, Small, and Medium Enterprises (MSMEs) play an important role in the economic development of many cities around the world. The role of MSMEs can encourage equitable economic development which is one of the main pillars of the ASEAN Economic Community (AEC). But unfortunately, there are still many people who do not know how to market a new product and have a large market potential by using internet technology. The ongoing COVID-19 pandemic is causing changes in individual habits which also has the opportunity to permanently influence market developments in the coming years. Many people choose to shop online using e-commerce. The role of e-commerce is very influential in improving the performance of MSMEs. There are several variables in the successful use of e-commerce, including internal and external inhibiting and supporting variables. This study applies the system dynamics method to link the variables of success in the use of e-commerce with variables related to the performance of MSMEs. The results of this study are the success of the use of e-commerce is interrelated with marketing and innovation capability which has a positive effect on the performance of MSMEs. This research is expected to increase the success of using e-commerce in MSMEs, especially in Indonesia.","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129947447","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 : 2022-05-28DOI: 10.33005/ijdasea.v2i1.19
Helynda Mulya Arga Retha, Gilberto Daniel Dwi Putra Taslim
Abstract: The economic situation is greatly affected by the pandemic. It causes people to look for ways to keep their money safe even if they can make a profit. One of the answers to that question is various investment products such as stocks, bonds, mutual funds, and cryptocurrency. Cryptocurrency or commonly called Cryptocurrency is a digital asset used to exchange. Cryptocurrency today has become a very remarkable phenomenon, especially since entering the era of the COVID 19 pandemic. Bitcoin is a digital currency created in 2009 by Satoshi Nakamoto. Cryptocurrency price movements have patterns and are predictable. The effort to make this prediction is called forecasting. Methods research on this paper using ARIMA methods. The forecasting results for the next five periods of the Bitcoin price show a linear line at the price of USD 48065.1.
{"title":"A Forecasting : Bitcoin Price with the ARIMA Method to Help Swing Traders Made Decision","authors":"Helynda Mulya Arga Retha, Gilberto Daniel Dwi Putra Taslim","doi":"10.33005/ijdasea.v2i1.19","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.19","url":null,"abstract":"Abstract: The economic situation is greatly affected by the pandemic. It causes people to look for ways to keep their money safe even if they can make a profit. One of the answers to that question is various investment products such as stocks, bonds, mutual funds, and cryptocurrency. Cryptocurrency or commonly called Cryptocurrency is a digital asset used to exchange. Cryptocurrency today has become a very remarkable phenomenon, especially since entering the era of the COVID 19 pandemic. Bitcoin is a digital currency created in 2009 by Satoshi Nakamoto. Cryptocurrency price movements have patterns and are predictable. The effort to make this prediction is called forecasting. Methods research on this paper using ARIMA methods. The forecasting results for the next five periods of the Bitcoin price show a linear line at the price of USD 48065.1.","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114191363","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 : 2022-05-28DOI: 10.33005/ijdasea.v2i1.34
A. Muhaimin, Tresna Maulana Fahrudin, Trimono, P. Riyantoko, K. M. Hindrayani
Text classifications have been popular in recent years. To classify the text, the first step that needs to be done is to convert the text into some value. Some values that can be used, such as Term Frequencies, Inverse Document Frequencies, Term Frequencies – Inverse Document Frequencies, and Frequency of the word itself. This study aims to get which metric value is best in text classification. The method used is Naïve Bayes, Logistic Regression, and Random Forest. The evaluation score that is used is accuracy and Area Under Curve value. It comes out that some metric values produce similar evaluation scores. Another finding is that Random Forest is the best method among others, also the best metric for text classification is Term Frequencies – Inverse Document Frequencies.
{"title":"Metric Comparison For Text Classification","authors":"A. Muhaimin, Tresna Maulana Fahrudin, Trimono, P. Riyantoko, K. M. Hindrayani","doi":"10.33005/ijdasea.v2i1.34","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.34","url":null,"abstract":"Text classifications have been popular in recent years. To classify the text, the first step that needs to be done is to convert the text into some value. Some values that can be used, such as Term Frequencies, Inverse Document Frequencies, Term Frequencies – Inverse Document Frequencies, and Frequency of the word itself. This study aims to get which metric value is best in text classification. The method used is Naïve Bayes, Logistic Regression, and Random Forest. The evaluation score that is used is accuracy and Area Under Curve value. It comes out that some metric values produce similar evaluation scores. Another finding is that Random Forest is the best method among others, also the best metric for text classification is Term Frequencies – Inverse Document Frequencies.","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116569354","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 : 2022-05-28DOI: 10.33005/ijdasea.v2i1.21
Abdul Azzam Ajhari, Albertus E. K. Gunawan, Budi Candra, Bona T. Munthe
The COVID-19 pandemic in Indonesia has changed work patterns from those previously based on conventional to digitalization. One of the changes in the work pattern of digitalization is the shift in the behavior of using wet signatures on paper to digital signatures on electronic documents. The use of digital signatures cannot be separated from the strategic planning of information system (IS) and information technology (IT) strategy that refers to business strategies so that companies or agencies can compete. The need for planning in determining business strategy, IS/IT management strategy, and IT strategy before finding future application portfolios. Ward and Peppard were selected and used as a strategic planning method for information systems and information technology in this study. Business strategy can be found using internal and external analysis with strengths, weaknesses, opportunities, and threats (SWOT) with EFAS and IFAS matrix evaluation. The results were achieved in the strategic planning of the appropriate information system and information technology for agencies in achieving their business goals.
{"title":"Strategic Planning of Information Systems and Information Technology for Digital Signature at Balai Sertifikasi Elektronik","authors":"Abdul Azzam Ajhari, Albertus E. K. Gunawan, Budi Candra, Bona T. Munthe","doi":"10.33005/ijdasea.v2i1.21","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.21","url":null,"abstract":"The COVID-19 pandemic in Indonesia has changed work patterns from those previously based on conventional to digitalization. One of the changes in the work pattern of digitalization is the shift in the behavior of using wet signatures on paper to digital signatures on electronic documents. The use of digital signatures cannot be separated from the strategic planning of information system (IS) and information technology (IT) strategy that refers to business strategies so that companies or agencies can compete. The need for planning in determining business strategy, IS/IT management strategy, and IT strategy before finding future application portfolios. Ward and Peppard were selected and used as a strategic planning method for information systems and information technology in this study. Business strategy can be found using internal and external analysis with strengths, weaknesses, opportunities, and threats (SWOT) with EFAS and IFAS matrix evaluation. The results were achieved in the strategic planning of the appropriate information system and information technology for agencies in achieving their business goals.","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133863436","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 : 2022-05-28DOI: 10.33005/ijdasea.v2i1.27
Dio Dwi Saputra
Exclusive breastfeeding has many benefits, not only for the baby but also for the mother. In 2021, the province with the lowest percentage of babies aged 0-5 months old who received exclusive breastfeeding in Indonesia is Gorontalo Province (52,75 percent). This makes the background of the researcher to find out the determinants of exclusive breastfeeding practice in this province. this study uses a dataset from the National Socio-Economic Survey (SUSENAS) in Gorontalo Province in March 2021. The variables used are age at first marriage, maternal education, internet usage, place of birth, assistant of birth, and household poverty status. The result is that women aged 15-49 years whose first marriage age is 21 years and over (OR = 0,77), with junior high school and over education (OR = 0,93), used the internet for the past 3 months (OR = 0,77) and their household poverty status is not poor (OR = 0,86) tend not to practice the exclusive breastfeeding. While women aged 15-49 years who gave birth at home are more likely to practice exclusive breastfeeding (OR = 1,95).
{"title":"Determinants of Exclusive Breastfeeding Practice in Gorontalo Province","authors":"Dio Dwi Saputra","doi":"10.33005/ijdasea.v2i1.27","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.27","url":null,"abstract":"Exclusive breastfeeding has many benefits, not only for the baby but also for the mother. In 2021, the province with the lowest percentage of babies aged 0-5 months old who received exclusive breastfeeding in Indonesia is Gorontalo Province (52,75 percent). This makes the background of the researcher to find out the determinants of exclusive breastfeeding practice in this province. this study uses a dataset from the National Socio-Economic Survey (SUSENAS) in Gorontalo Province in March 2021. The variables used are age at first marriage, maternal education, internet usage, place of birth, assistant of birth, and household poverty status. The result is that women aged 15-49 years whose first marriage age is 21 years and over (OR = 0,77), with junior high school and over education (OR = 0,93), used the internet for the past 3 months (OR = 0,77) and their household poverty status is not poor (OR = 0,86) tend not to practice the exclusive breastfeeding. While women aged 15-49 years who gave birth at home are more likely to practice exclusive breastfeeding (OR = 1,95).","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115426212","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 : 2022-05-28DOI: 10.33005/ijdasea.v2i1.24
Mohammad Hamim Zajuli Al Faroby
Banking is a financial institution tasked with collecting funds from the public and then channeling them back to obtain income. The bank's performance can be seen by comparing the ratio figures in the annual financial statements that the bank has achieved. Therefore, this study aims to determine the CAR, NPL-Net, and LDR, which affect bank profitability or Return on Assets. This research method uses Multiple Linear Regression Analysis with secondary data and a ratio measurement scale, and the number of samples is 90 samples from 30 banking companies during the 2018-2020 period. This data is sourced from the Indonesia Stock Exchange, with the Judgment Sampling technique. The sample was reduced to 84 by the outlier test due to abnormal data. Based on the results of the analysis, it is known that CAR and LDR have no significant effect on Return on Assets, otherwise, NPL-Net has a significant effect on Return on Assets, and CAR, NPL-Net, LDR simultaneously have a significant effect on Return on Assets.
{"title":"Regression Analysis of CAR, NPL-Net, LDR on Increasing Return on Asset (Case Study on Banking Companies Listed on IDX in 2018-2020)","authors":"Mohammad Hamim Zajuli Al Faroby","doi":"10.33005/ijdasea.v2i1.24","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.24","url":null,"abstract":"\u0000 \u0000 \u0000Banking is a financial institution tasked with collecting funds from the public and then channeling them back to obtain income. The bank's performance can be seen by comparing the ratio figures in the annual financial statements that the bank has achieved. Therefore, this study aims to determine the CAR, NPL-Net, and LDR, which affect bank profitability or Return on Assets. This research method uses Multiple Linear Regression Analysis with secondary data and a ratio measurement scale, and the number of samples is 90 samples from 30 banking companies during the 2018-2020 period. This data is sourced from the Indonesia Stock Exchange, with the Judgment Sampling technique. The sample was reduced to 84 by the outlier test due to abnormal data. Based on the results of the analysis, it is known that CAR and LDR have no significant effect on Return on Assets, otherwise, NPL-Net has a significant effect on Return on Assets, and CAR, NPL-Net, LDR simultaneously have a significant effect on Return on Assets. \u0000 \u0000 \u0000","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132976303","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 : 2022-05-28DOI: 10.33005/ijdasea.v2i1.31
S. Hidayati
Drought in Probolinggo is a big problem because most of the people in this work as farmers. Drought is a natural phenomenon, difficult to define due to differences in hydrometeorological variables and socio economic factors along with the stochastic nature of water demand in various regions. Resident vulnerability to drought hazard is varie. Vulnerability can be measured using vulnerability indicators such as economic factors, social factors, and ecological factors. This research used several vulnerability indicators to classified the impact of drought in three villages in Probolinggo Regency (Sumberkare, Tandonsentul, and Tegalsono). The classification method used in this research is Naïve Bayes. The 10-fold cross validation method was used to train the developed predictive model and the performance of the models evaluated. The accuracy of drought impact by the naive bayes is 85,90 %. Naïve Bayes classifier classify indicators of the impact of drought accurately.
{"title":"Classification of Drought Impact by Drought Vulnerability Indicators in Probolinggo Regrency Using Naive Bayes","authors":"S. Hidayati","doi":"10.33005/ijdasea.v2i1.31","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.31","url":null,"abstract":"Drought in Probolinggo is a big problem because most of the people in this work as farmers. Drought is a natural phenomenon, difficult to define due to differences in hydrometeorological variables and socio economic factors along with the stochastic nature of water demand in various regions. Resident vulnerability to drought hazard is varie. Vulnerability can be measured using vulnerability indicators such as economic factors, social factors, and ecological factors. This research used several vulnerability indicators to classified the impact of drought in three villages in Probolinggo Regency (Sumberkare, Tandonsentul, and Tegalsono). The classification method used in this research is Naïve Bayes. The 10-fold cross validation method was used to train the developed predictive model and the performance of the models evaluated. The accuracy of drought impact by the naive bayes is 85,90 %. Naïve Bayes classifier classify indicators of the impact of drought accurately.","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130305858","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 : 2022-05-28DOI: 10.33005/ijdasea.v2i1.17
Findra Kartika Sari Dewi, Niko Guntara
Yogyakarta is one of the cities that provides public transportation facilities to support the activities of its people in traveling. However, the use of public transportation is still a little in demand in Yogyakarta, whether it's because the desired travel route is not available, the tariff is not reasonable, the driver is reckless, or the physical condition of the vehicle is no longer suitable for use. Usually, after people use public transportation, the satisfaction that has been felt will appear. Therefore, a sentiment analysis study will be conducted to determine the value of customer satisfaction on the use of public transportation in Yogyakarta. This research uses social media twitter to get data. The data will identify an opinion or problem from someone whether it tends to be positive, negative, or neutral. The author uses the SentiStrength method to classify tweet data to get a value. This study will produce a summary of customer satisfaction values that can be used as a reference in increasing customer satisfaction so that people are more interested in using public transportation in Yogyakarta.
{"title":"Evaluation of Customer Satisfaction with Public Trans-portation in Yogyakarta","authors":"Findra Kartika Sari Dewi, Niko Guntara","doi":"10.33005/ijdasea.v2i1.17","DOIUrl":"https://doi.org/10.33005/ijdasea.v2i1.17","url":null,"abstract":"Yogyakarta is one of the cities that provides public transportation facilities to support the activities of its people in traveling. However, the use of public transportation is still a little in demand in Yogyakarta, whether it's because the desired travel route is not available, the tariff is not reasonable, the driver is reckless, or the physical condition of the vehicle is no longer suitable for use. Usually, after people use public transportation, the satisfaction that has been felt will appear. Therefore, a sentiment analysis study will be conducted to determine the value of customer satisfaction on the use of public transportation in Yogyakarta. This research uses social media twitter to get data. The data will identify an opinion or problem from someone whether it tends to be positive, negative, or neutral. The author uses the SentiStrength method to classify tweet data to get a value. This study will produce a summary of customer satisfaction values that can be used as a reference in increasing customer satisfaction so that people are more interested in using public transportation in Yogyakarta.","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125917140","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 : 2021-11-25DOI: 10.33005/ijdasea.v1i2.14
M. Idhom, F. T. Anggraeny, Gideon Setya Budiwitjaksono, Z. Achmad, Munoto
Landslide is one of the disasters that often occurs in several areas in Indonesia, especially in hilly areas, valleys, and volcanoes. Soil conditions in some parts of Indonesia are classified as prone to landslides. The latest data from the Central Statistics Agency related to landslides in 2018 occurred as many as 10,246 events with the highest incidence on the island of Java IoT-based ground motion monitoring using fuzzy logic is a tool that is able to detect ground movements that can trigger landslides. The manufacture of this tool is based on the ig-norance of the community in predicting the occurrence of landslides. To avoid this, an early warning tool is needed in the delivery of information that is easily understood by anyone, especially the public. This tool consists of a Microcontroller, Weather Sensor, Rain Sensor, Ground Movement Sensor, and GSM Shield as well as programs to make it hap-pen. This system was created to provide information to the public directly in land-slide-prone areas. With this early warning system, it is hoped that people who are in landslide-prone loca-tions will know more quickly and can monitor the condition of landslide-prone areas so that they will be more alert to possible dangers that come suddenly, especially fatalities, can be minimized. Through this tool can also be known when the weather is cloudy, raining as well as movement or signs of ground movement, can be monitored and monitored automatically. directly by everyone from mobile phones through "SIPEGERTA" Land Movement System in Wonosalam District, Jombang Regency
{"title":"Soil Movement Monitoring System Based on IoT using Fuzzy Logic","authors":"M. Idhom, F. T. Anggraeny, Gideon Setya Budiwitjaksono, Z. Achmad, Munoto","doi":"10.33005/ijdasea.v1i2.14","DOIUrl":"https://doi.org/10.33005/ijdasea.v1i2.14","url":null,"abstract":"Landslide is one of the disasters that often occurs in several areas in Indonesia, especially in hilly\u0000 areas, valleys, and volcanoes. Soil conditions in some parts of Indonesia are classified as prone to\u0000 landslides. The latest data from the Central Statistics Agency related to landslides in 2018 occurred as\u0000 many as 10,246 events with the highest incidence on the island of Java IoT-based ground motion monitoring\u0000 using fuzzy logic is a tool that is able to detect ground movements that can trigger landslides. The\u0000 manufacture of this tool is based on the ig-norance of the community in predicting the occurrence of\u0000 landslides. To avoid this, an early warning tool is needed in the delivery of information that is easily\u0000 understood by anyone, especially the public. This tool consists of a Microcontroller, Weather Sensor, Rain\u0000 Sensor, Ground Movement Sensor, and GSM Shield as well as programs to make it hap-pen. This system was\u0000 created to provide information to the public directly in land-slide-prone areas. With this early warning\u0000 system, it is hoped that people who are in landslide-prone loca-tions will know more quickly and can monitor\u0000 the condition of landslide-prone areas so that they will be more alert to possible dangers that come\u0000 suddenly, especially fatalities, can be minimized. Through this tool can also be known when the weather is\u0000 cloudy, raining as well as movement or signs of ground movement, can be monitored and monitored\u0000 automatically. directly by everyone from mobile phones through \"SIPEGERTA\" Land Movement System in Wonosalam\u0000 District, Jombang Regency","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132827259","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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