Pub Date : 2023-09-18DOI: 10.32502/digital.v6i2.5653
Devi Puspitasari, Tata Sutabri
Cybercrime merupakan kejahatan yang dilakukan dengan menggunakan teknologi komputer sebagai kejahatan utama. Kejahatan yang terjadi di zaman modern ini semakin berkembang dan berbagai kejahatan yang terjadi saat ini juga telah masuk ke dunia maya dalam bentuk kejahatan phising. Kejahatan phising adalah ancaman yang menggunakan teknik manipulatif dan menipu pengguna dengan menyamar sebagai orang yang berwenang, vendor atau peserta e-commerce untuk mendapatkan informasi sensitif pengguna. Penelitian ini membahas tentang faktor penyebab phising dan mencegah ancaman serangan phising yang terjadi pada sektor e-commerce. Metode yang digunakan adalah metode literature review. Faktor penyebab phising adalah minimnya pengetahuan pengguna, penambangan data pengguna, menarik pengguna dengan hadiah, dan sebagainya. Meskipun pencegahan dapat dicapai dengan mengedukasi pengguna, hal ini dapat menghindari ancaman kejahatan phising di email,URL atau situs web dan lain-lain.
{"title":"Analisis kejahatan phising pada sektor e-commerce di marketplace shopee","authors":"Devi Puspitasari, Tata Sutabri","doi":"10.32502/digital.v6i2.5653","DOIUrl":"https://doi.org/10.32502/digital.v6i2.5653","url":null,"abstract":"Cybercrime merupakan kejahatan yang dilakukan dengan menggunakan teknologi komputer sebagai kejahatan utama. Kejahatan yang terjadi di zaman modern ini semakin berkembang dan berbagai kejahatan yang terjadi saat ini juga telah masuk ke dunia maya dalam bentuk kejahatan phising. Kejahatan phising adalah ancaman yang menggunakan teknik manipulatif dan menipu pengguna dengan menyamar sebagai orang yang berwenang, vendor atau peserta e-commerce untuk mendapatkan informasi sensitif pengguna. Penelitian ini membahas tentang faktor penyebab phising dan mencegah ancaman serangan phising yang terjadi pada sektor e-commerce. Metode yang digunakan adalah metode literature review. Faktor penyebab phising adalah minimnya pengetahuan pengguna, penambangan data pengguna, menarik pengguna dengan hadiah, dan sebagainya. Meskipun pencegahan dapat dicapai dengan mengedukasi pengguna, hal ini dapat menghindari ancaman kejahatan phising di email,URL atau situs web dan lain-lain.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135208434","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}
Penelitian ini dilakukan untuk menganalisis komentar masyarakat terhadap informasi penerapan pajak pertambahan nilai atas kegiatan renovasi dan membangun rumah sendiri yang kini telah diumumkan oleh pemerintah melalui kementrian keuangan. Analisis ini dilakukan untuk mengetahui bagaimana pandangan masyarakat terhadap adanya informasi tersebut dengan memfokuskan pada gaya bahasa yang digunakan masyarakat dalam menyampaikan komentarnya serta maksud dari komentar yang disampaikan atau ditulis. Karena tidak mudah untuk menganalisis sentimen dari berbagai komentar, hal ini karena komentar mengandung teks yang tidak terstruktur, terutama dalam teks Indonesia. Prapemrosesan teks dalam penambangan teks merupakan bagian penting untuk mendapatkan informasi dasar yang terkandung dalam komentar. Adapun penelitian yang dilakukan menggunakan pra-pemrosesan teks Indonesia dengan Textmining menggunakan rapid minner. Teknik pengumpulan data dilakukan melalui pengumpulan komentar di media sosial youtube kanal berita viva.co.id dari tanggal 10 april 2022 hingga 30 juni 2022 dengan jumlah 1650 komentar . Kemudian dilanjutkan dengan mengekstraksi informasi menggunakan metode klasifikasi Naïve Bayes dan Support Vector Machine yang dioptimalkan menggunakan Particle Swarm Optimization. Hasil penelitian ini menunjukkan bahwa komentar masyarakat mengenai informasi penerapan pajak pertambahan nilai atas kegiatan renovasi dan membangun rumah sendiri beraneka ragam. Ada yang setuju, ada yang tidak setuju, dan ada pula yang tidak tahu menahu. Simpulan dari penelitian ini hendaknya pemerintah melalui kementerian keuangan RI memberikan sosialisasi yang luas kepada masyarakat, agar masyarakat tidak bingung terhadap informasi tersebut sehingga masyarakat tidak akan asal berkomentar dengan pendapatnya masing-masing.
{"title":"Analisis sentimen masyarakat terhadap informasi penerapan PPN atas renovasi dan membangun rumah sendiri pada media sosial youtube dengan metode svm dan naive bayes","authors":"Muhammad Romadhona Kusuma, Windu Gata, Laela Kurniawati, Almay Faiz Rivan, Triadi Kurniawan","doi":"10.32502/digital.v6i2.4758","DOIUrl":"https://doi.org/10.32502/digital.v6i2.4758","url":null,"abstract":"Penelitian ini dilakukan untuk menganalisis komentar masyarakat terhadap informasi penerapan pajak pertambahan nilai atas kegiatan renovasi dan membangun rumah sendiri yang kini telah diumumkan oleh pemerintah melalui kementrian keuangan. Analisis ini dilakukan untuk mengetahui bagaimana pandangan masyarakat terhadap adanya informasi tersebut dengan memfokuskan pada gaya bahasa yang digunakan masyarakat dalam menyampaikan komentarnya serta maksud dari komentar yang disampaikan atau ditulis. Karena tidak mudah untuk menganalisis sentimen dari berbagai komentar, hal ini karena komentar mengandung teks yang tidak terstruktur, terutama dalam teks Indonesia. Prapemrosesan teks dalam penambangan teks merupakan bagian penting untuk mendapatkan informasi dasar yang terkandung dalam komentar. Adapun penelitian yang dilakukan menggunakan pra-pemrosesan teks Indonesia dengan Textmining menggunakan rapid minner. Teknik pengumpulan data dilakukan melalui pengumpulan komentar di media sosial youtube kanal berita viva.co.id dari tanggal 10 april 2022 hingga 30 juni 2022 dengan jumlah 1650 komentar . Kemudian dilanjutkan dengan mengekstraksi informasi menggunakan metode klasifikasi Naïve Bayes dan Support Vector Machine yang dioptimalkan menggunakan Particle Swarm Optimization. Hasil penelitian ini menunjukkan bahwa komentar masyarakat mengenai informasi penerapan pajak pertambahan nilai atas kegiatan renovasi dan membangun rumah sendiri beraneka ragam. Ada yang setuju, ada yang tidak setuju, dan ada pula yang tidak tahu menahu. Simpulan dari penelitian ini hendaknya pemerintah melalui kementerian keuangan RI memberikan sosialisasi yang luas kepada masyarakat, agar masyarakat tidak bingung terhadap informasi tersebut sehingga masyarakat tidak akan asal berkomentar dengan pendapatnya masing-masing.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135208429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-18DOI: 10.32502/digital.v6i2.5396
Stefanus Eko Prasetyo, Dendi Dendi
Perkembangan teknologi pada masa sekarang sangat cepat sehingga mendorong manusia untuk menggunakan teknologi yang ada saat ini, salah satunya yaitu teknologi smart home yang dapat menghubungkan manusia dengan perangkat serta perangkat dengan perangkat. Penerapan smart home juga terhubung dengan teknologi internet of things (IoT) dimana penggunaan dapat mengakses seluruh perangkat yang terhubung melalui jaringan internet untuk mempermudah manusia dalam mengontrol dan memantau peralatan elektronik yang terhubung ke jaringan smart home. Penerapan smart home dan IoT juga membantu dalam rangka penerapan hemat energi serta menjaga keamanan sekitar rumah. Penulis berhasil melakukan simulasi yang dilakukan di aplikasi Cisco packet tracer menggunakan metode Network Development Life Cycle (NDLC), dimana hasil dari simulasi rancangan bisa di kontrol penuh dari jaringan internal maupun ekternal sehingga membantu pengguna mengakses jaringan smart home secara berkala tanpa terkendala waktu dan lokasi dengan syarat smartphone atau komputer terhubung dengan jaringan internet.
{"title":"Simulasi Rancangan Smart Home System Menggunakan Cisco Packet Tracer","authors":"Stefanus Eko Prasetyo, Dendi Dendi","doi":"10.32502/digital.v6i2.5396","DOIUrl":"https://doi.org/10.32502/digital.v6i2.5396","url":null,"abstract":"Perkembangan teknologi pada masa sekarang sangat cepat sehingga mendorong manusia untuk menggunakan teknologi yang ada saat ini, salah satunya yaitu teknologi smart home yang dapat menghubungkan manusia dengan perangkat serta perangkat dengan perangkat. Penerapan smart home juga terhubung dengan teknologi internet of things (IoT) dimana penggunaan dapat mengakses seluruh perangkat yang terhubung melalui jaringan internet untuk mempermudah manusia dalam mengontrol dan memantau peralatan elektronik yang terhubung ke jaringan smart home. Penerapan smart home dan IoT juga membantu dalam rangka penerapan hemat energi serta menjaga keamanan sekitar rumah. Penulis berhasil melakukan simulasi yang dilakukan di aplikasi Cisco packet tracer menggunakan metode Network Development Life Cycle (NDLC), dimana hasil dari simulasi rancangan bisa di kontrol penuh dari jaringan internal maupun ekternal sehingga membantu pengguna mengakses jaringan smart home secara berkala tanpa terkendala waktu dan lokasi dengan syarat smartphone atau komputer terhubung dengan jaringan internet.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135208433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-27DOI: 10.31849/digitalzone.v14i1.13668
Novem Uly, Hendry Hendry, Ade Iriani
Abstract This research aims to implement deep learning in determining Covid-19 or normal cases using X-Ray imagery. The method used is CNN (ResNet50) and RNN (LSTM). The research phase begins with data collection, data preprocessing, method modeling, method testing and method evaluation. The data was taken from the kagle.com site with the amount of data used 1.000 images where 500 covid data and 500 normal data, the data is divided into 80% training data, 10% validation data and 10% test data. The results of the evaluation by calculating the ResNet50-LSTM confusion matrix have a value of 95% accuracy, 96% precision, 94% recall and 95% F1-score. At the method testing stage, the researcher got the results of the proposed method experiencing overfitting seen by the comparison of the loss values in the validation data which were not as good as the loss values of the training data. From the results of evaluation and method testing, research can be used as a recommendation in cases of Covid-19 or normal.
{"title":"CNN-RNN Hybrid Model for Diagnosis of COVID-19 on X-Ray Imagery","authors":"Novem Uly, Hendry Hendry, Ade Iriani","doi":"10.31849/digitalzone.v14i1.13668","DOIUrl":"https://doi.org/10.31849/digitalzone.v14i1.13668","url":null,"abstract":"Abstract \u0000 This research aims to implement deep learning in determining Covid-19 or normal cases using X-Ray imagery. The method used is CNN (ResNet50) and RNN (LSTM). The research phase begins with data collection, data preprocessing, method modeling, method testing and method evaluation. The data was taken from the kagle.com site with the amount of data used 1.000 images where 500 covid data and 500 normal data, the data is divided into 80% training data, 10% validation data and 10% test data. The results of the evaluation by calculating the ResNet50-LSTM confusion matrix have a value of 95% accuracy, 96% precision, 94% recall and 95% F1-score. At the method testing stage, the researcher got the results of the proposed method experiencing overfitting seen by the comparison of the loss values in the validation data which were not as good as the loss values of the training data. From the results of evaluation and method testing, research can be used as a recommendation in cases of Covid-19 or normal. \u0000 ","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89333117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-27DOI: 10.31849/digitalzone.v14i1.13788
Sulistiadi, Muhammad Salman
Ransomware is a dangerous malware that blocks access to data through encryption, and it exploits device vulnerabilities to perform chain attacks from one system to another. This study results in modeling the threat of ransomware attacks using Bayesian Network. The structure of the model is created using device vulnerabilities that can be exploited. As the basis for calculating the probability of the model, the EPSS vulnerability score is used. The risk exposure rating is calculated through the joint probability distribution formulation based on attack scenarios. Our model shows that ransomware attacks are most likely to exploit the chain of vulnerabilities CVE-2021-26855, CVE-2021-26857, CVE-2021-27065, CVE-2021-36942, and CVE-2017-0144 which has a probability value of 0.046534. In addition, the use of the EPSS also makes the risk assessment more factual, accurate, and effective. The threat modeling method can help in identifying ransomware attacks through a chain of vulnerabilities, making risk assessment more precise.
{"title":"Ransomware Attacks Threat Modeling Using Bayesian Network","authors":"Sulistiadi, Muhammad Salman","doi":"10.31849/digitalzone.v14i1.13788","DOIUrl":"https://doi.org/10.31849/digitalzone.v14i1.13788","url":null,"abstract":"Ransomware is a dangerous malware that blocks access to data through encryption, and it exploits device vulnerabilities to perform chain attacks from one system to another. This study results in modeling the threat of ransomware attacks using Bayesian Network. The structure of the model is created using device vulnerabilities that can be exploited. As the basis for calculating the probability of the model, the EPSS vulnerability score is used. The risk exposure rating is calculated through the joint probability distribution formulation based on attack scenarios. Our model shows that ransomware attacks are most likely to exploit the chain of vulnerabilities CVE-2021-26855, CVE-2021-26857, CVE-2021-27065, CVE-2021-36942, and CVE-2017-0144 which has a probability value of 0.046534. In addition, the use of the EPSS also makes the risk assessment more factual, accurate, and effective. The threat modeling method can help in identifying ransomware attacks through a chain of vulnerabilities, making risk assessment more precise. \u0000 ","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90933489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-27DOI: 10.31849/digitalzone.v14i1.13165
Nindian Puspa Dewi, U. Ubaidi, Ulin Najah Ismail Moadz
Village Fund Direct Cash Assistance (BLT-DD) is cash assistance provided by the government to eligible residents through Village Officials whose recipients are determined based on many criteria. The process determine who is the most eligible citizen to be the recipient of BLT-DD takes a long time because of the large number of residents and the existence of several criteria used. There is a need for a decision support system that can assist village officials in choosing who is entitled to receive BLT-DD assistance. In this study, the application uses the Analytical Hierarchy Process (AHP) and Simple Multi Attributee Rating Technique (SMART) methods. The criteria used are, get assistance, income, floor area, type of floor, type of wall, and education. By using the AHP method, it is possible to optimize the weighting of the criteria and the SMART method to produce a ranking of residents who are entitled to receive BLT-DD. The results of the study indicate that this application can be used to provide recommendations to village officials in determining BLT-DD recipients.
{"title":"Combination of AHP and SMART Methods in Determining Recipients of Direct Village Fund Cash Assistance","authors":"Nindian Puspa Dewi, U. Ubaidi, Ulin Najah Ismail Moadz","doi":"10.31849/digitalzone.v14i1.13165","DOIUrl":"https://doi.org/10.31849/digitalzone.v14i1.13165","url":null,"abstract":"Village Fund Direct Cash Assistance (BLT-DD) is cash assistance provided by the government to eligible residents through Village Officials whose recipients are determined based on many criteria. The process determine who is the most eligible citizen to be the recipient of BLT-DD takes a long time because of the large number of residents and the existence of several criteria used. There is a need for a decision support system that can assist village officials in choosing who is entitled to receive BLT-DD assistance. In this study, the application uses the Analytical Hierarchy Process (AHP) and Simple Multi Attributee Rating Technique (SMART) methods. The criteria used are, get assistance, income, floor area, type of floor, type of wall, and education. By using the AHP method, it is possible to optimize the weighting of the criteria and the SMART method to produce a ranking of residents who are entitled to receive BLT-DD. The results of the study indicate that this application can be used to provide recommendations to village officials in determining BLT-DD recipients. ","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73181376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-27DOI: 10.31849/digitalzone.v14i1.13584
Ivana Lucia Kharisma, Kamdan, Asep Rizki Firdaus, Rizki Haddi Prayoga, Fakhriyal Riyandi Yasin, Mutiara Annisa Tresna Ati
The Indonesian railway system is currently experiencing a lot of developments in terms of technology. The Indonesian railway system has been integrated with technology 4.0, where all transaction processes, whether payment, ordering tickets or monitoring trains, can be monitored via electronic media. Of course, this technology must be supported by adequate infrastructure, one of which is the railroad crossing. In Indonesia, several railroad lines have been constructed, and many portal or crossbar railroads have also been constructed. The railroad gate is part of the railway system which has a very important role, especially in regulating the safety of train travel. The rail gateway has been a problem and a source of accidents in recent years. This is because there are no security facilities at any rail portals, causing drivers to continue to break traffic laws. The making of this automatic railroad doorstop uses the Prototype method, namely a simulation that uses Arduino UNO R3, servo motors, HC-SR04 ultrasonic sensors and other components that can support the manufacture of this railroad doorstop prototype. The prototype of this automatic train doorstop is equipped with many sensors that works automatically according to what is ordered, so that its use can be easily controlled and implemented in real life. This automatic railroad crossing system is expected to optimize the task of the railroad crossing guard by providing automation for the process of opening and closing the railway door and providing additional warning information for the community around the railway door location so as to reduce the potential for accidents caused by drivers or people who break traffic laws.
印尼铁路系统目前在技术方面正在经历许多发展。印尼的铁路系统已经集成了4.0技术，所有的交易过程，无论是付款、订票还是监控火车，都可以通过电子媒体进行监控。当然，这项技术必须得到足够的基础设施的支持，其中之一就是铁路道口。在印度尼西亚，修建了几条铁路线，还修建了许多门户或横贯铁路。铁路闸板是铁路系统的重要组成部分，在调节列车运行安全方面起着十分重要的作用。近年来，这个铁路门户一直是个问题，也是事故的一个来源。这是因为铁路出入口没有保安设施，导致司机继续违反交通法规。该铁路自动挡门器的制作采用了Prototype方法，即利用Arduino UNO R3、伺服电机、HC-SR04超声传感器等能够支持该铁路挡门器原型制造的部件进行仿真。这款火车自动挡门器的原型配备了许多传感器，可以根据命令自动工作，因此它的使用可以很容易地控制和实现在现实生活中。该铁路自动道口系统旨在优化铁路道口守卫的任务，为铁路道口开合过程提供自动化，并为铁路道口位置周围的社区提供额外的警告信息，以减少驾驶员或违反交通法规的人造成事故的可能性。
{"title":"Construction Of Railway Door Automation Prototypes Using Arduino, Servo Motors and Ultrasonic Sensors","authors":"Ivana Lucia Kharisma, Kamdan, Asep Rizki Firdaus, Rizki Haddi Prayoga, Fakhriyal Riyandi Yasin, Mutiara Annisa Tresna Ati","doi":"10.31849/digitalzone.v14i1.13584","DOIUrl":"https://doi.org/10.31849/digitalzone.v14i1.13584","url":null,"abstract":"The Indonesian railway system is currently experiencing a lot of developments in terms of technology. The Indonesian railway system has been integrated with technology 4.0, where all transaction processes, whether payment, ordering tickets or monitoring trains, can be monitored via electronic media. Of course, this technology must be supported by adequate infrastructure, one of which is the railroad crossing. In Indonesia, several railroad lines have been constructed, and many portal or crossbar railroads have also been constructed. The railroad gate is part of the railway system which has a very important role, especially in regulating the safety of train travel. The rail gateway has been a problem and a source of accidents in recent years. This is because there are no security facilities at any rail portals, causing drivers to continue to break traffic laws. The making of this automatic railroad doorstop uses the Prototype method, namely a simulation that uses Arduino UNO R3, servo motors, HC-SR04 ultrasonic sensors and other components that can support the manufacture of this railroad doorstop prototype. The prototype of this automatic train doorstop is equipped with many sensors that works automatically according to what is ordered, so that its use can be easily controlled and implemented in real life. This automatic railroad crossing system is expected to optimize the task of the railroad crossing guard by providing automation for the process of opening and closing the railway door and providing additional warning information for the community around the railway door location so as to reduce the potential for accidents caused by drivers or people who break traffic laws.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89510305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-27DOI: 10.31849/digitalzone.v14i1.12423
Khairul Fuady, Eva Zulisa
Abstract One of the causes of the high Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR) in Aceh is the delay in handling cases of at risk pregnancies due to the lack of availability of easily accessible and well-documented information about conditions during pregnancy. So far, manual reporting through data recapitulation report was difficult to access quickly if there are cases maternal and infant mortality. Fuzzy logic can be used as an alternative for classifying pregnant women at risk with supporting data when examining pregnant women. Data related to pregnancy checks will be analyzed with a Fuzzy Inference System (FIS) to obtain information on pregnancy risks. The results of this study indicate that FIS can determine the risk of pregnancy more detailed range than using a manual scoring card. The results of the defuzzyfication value will describe the final decision related to pregnancy risk which can be categorized into low risk, high risk and very high risk. The problem solving steps in this study can be used for algorithms in the development of application programming for risky pregnancy early detection systems based on programming languages.
{"title":"Fuzzy Inference System for The Risks Pregnancy Detection","authors":"Khairul Fuady, Eva Zulisa","doi":"10.31849/digitalzone.v14i1.12423","DOIUrl":"https://doi.org/10.31849/digitalzone.v14i1.12423","url":null,"abstract":"Abstract \u0000One of the causes of the high Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR) in Aceh is the delay in handling cases of at risk pregnancies due to the lack of availability of easily accessible and well-documented information about conditions during pregnancy. So far, manual reporting through data recapitulation report was difficult to access quickly if there are cases maternal and infant mortality. Fuzzy logic can be used as an alternative for classifying pregnant women at risk with supporting data when examining pregnant women. Data related to pregnancy checks will be analyzed with a Fuzzy Inference System (FIS) to obtain information on pregnancy risks. The results of this study indicate that FIS can determine the risk of pregnancy more detailed range than using a manual scoring card. The results of the defuzzyfication value will describe the final decision related to pregnancy risk which can be categorized into low risk, high risk and very high risk. The problem solving steps in this study can be used for algorithms in the development of application programming for risky pregnancy early detection systems based on programming languages. ","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88375865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.32502/digital.v6i1.5606
Aminullah Imal Alfresi
Salah satu penyebab rendahnya minat belajar adalah kurang tepatnya penerapan metode pembelajaran yang diberikan di sekolah. Oleh karena itu alternatif mengembangkan pembelajaran yaitu dengan menggunakan strategi pembelajaran Student Facilitator And Expalining. Penelitian ini bertujuan untuk mengetahui minat belajar sebelum dan sesudah diberi pembelajaran menggunakan metode ceramah dan menggunakan strategi pembelajaran Student Facilitator And Expalining dan mengetahui perbedaan minat belajar siswa yang diberi pembelajaran mrnggunakan Student Facilitator And Expalining dengan minat belajar siswa yang diberi pembelajaran menggunakan metode ceramah pada saat dikelas XI SMK Negeri 3 Palembang. Populasi dalam penelitian ini adalah siswa kelas XI SMK Negeri 3 Palembang yang berjumlah 192 siswa.Sampel penelitian diambil dengan teknik purposive sampling.Jumlah sampel sebanyak 96 siswa.Teknik pengumpulan data yang digunakan dalam penelitian ini menggunakan angket dengan menggunakan empat skala likert. Analisa data yang digunakan untuk menganalisis data hasil penelitian adalah statistik deskriptif. Hasil penelitian menunjukkan minat belajar sebelum dan sesudah diberi pembelajaran meggunakan metode ceramah dan strategi pembelajaranStudent Facilitator And Explaining yaitu pada kelas kontrol nilai rata-rata minat belajar sebelum sebesar 68,21, dan sesudahnya sebesar 81,67. Pada kelas eksperimen nilai rata-rataminatbelajarsebelumnyasebesar68,60,dansesudahnya82,5.
{"title":"PENERAPAN METODE PEMBELAJARAN STUDENT FACILITATOR AND EXPLAINING TERHADAP MINAT BELAJAR TIK SISWA KELAS XI","authors":"Aminullah Imal Alfresi","doi":"10.32502/digital.v6i1.5606","DOIUrl":"https://doi.org/10.32502/digital.v6i1.5606","url":null,"abstract":"Salah satu penyebab rendahnya minat belajar adalah kurang tepatnya penerapan metode pembelajaran yang diberikan di sekolah. Oleh karena itu alternatif mengembangkan pembelajaran yaitu dengan menggunakan strategi pembelajaran Student Facilitator And Expalining. Penelitian ini bertujuan untuk mengetahui minat belajar sebelum dan sesudah diberi pembelajaran menggunakan metode ceramah dan menggunakan strategi pembelajaran Student Facilitator And Expalining dan mengetahui perbedaan minat belajar siswa yang diberi pembelajaran mrnggunakan Student Facilitator And Expalining dengan minat belajar siswa yang diberi pembelajaran menggunakan metode ceramah pada saat dikelas XI SMK Negeri 3 Palembang. Populasi dalam penelitian ini adalah siswa kelas XI SMK Negeri 3 Palembang yang berjumlah 192 siswa.Sampel penelitian diambil dengan teknik purposive sampling.Jumlah sampel sebanyak 96 siswa.Teknik pengumpulan data yang digunakan dalam penelitian ini menggunakan angket dengan menggunakan empat skala likert. Analisa data yang digunakan untuk menganalisis data hasil penelitian adalah statistik deskriptif. Hasil penelitian menunjukkan minat belajar sebelum dan sesudah diberi pembelajaran meggunakan metode ceramah dan strategi pembelajaranStudent Facilitator And Explaining yaitu pada kelas kontrol nilai rata-rata minat belajar sebelum sebesar 68,21, dan sesudahnya sebesar 81,67. Pada kelas eksperimen nilai rata-rataminatbelajarsebelumnyasebesar68,60,dansesudahnya82,5.","PeriodicalId":33266,"journal":{"name":"Digital Zone Jurnal Teknologi Informasi dan Komunikasi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88680598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.32502/digital.v6i1.4510
Farrell Ivander Daviano Siwy
Asuransi kesehatan adalah salah satu bentuk jaminan kesehatan yang ditawarkan secara independen oleh perusahaan yang bergerak dalam bidang kesehatan, atau organisasi lain yang menawarkan jasa kesehatan. Dengan semakin meningkatnya jumlah yang diperlukan untuk melakukan pengobatan dan kegiatan kesehatan lainnya, diperlukan sebuah metode untuk mengetahui calon nasabah yang cocok untuk ditawarkan menjadi nasabah asuransi. Penelitian bertujuan untuk mengetahui kemungkinan seseorang menjadi nasabah asuransi berdasarkan kriteria yang sering dijadikan indikator oleh agen asuransi sebelum menawarkan produk atau menawarkan jasa asuransi secara umum menggunakan metode Analytical Hierarchy Process atau AHP.
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