– Current information technology is rapidly advancing, with users utilizing the internet for daily needs, such as the Internet of Things (IoT). IoT plays a crucial role in early flood detection, functioning like smart alarms where connected sensors in flood-prone areas provide rapid warnings as water levels rise. In terms of natural disaster mitigation, IoT acts as an intelligent assistant, aiding in planning measures to reduce risks and losses. With real-time data provided by IoT sensors, authorities can respond more promptly, guide evacuations, and assist communities in facing disasters more effectively. However, challenges arise due to limited response time and early detection processes. Responsive and efficient systems are key to addressing these challenges. In the effort to enhance responsiveness to flood threats, the use of optimal network protocols, namely Message Queue Telemetry Transport (MQTT) and Hyper Text Transport Protocol (HTTP), is crucial in IoT systems. Therefore, a comparison of these network protocols becomes necessary. Results indicate that the MQTT protocol is more suitable for responsive and efficient flood notification data transmission due to its low delay value of 185.749403 ms, while the highest delay is observed in the HTTP protocol at 361.800781 ms. This research provides insights into the superior implementation of MQTT protocols in early flood detection systems.
{"title":"Implementasi Internet Of Things Pada Protokol MQTT Dan HTTP Dalam Sistem Pendeteksi Banjir","authors":"A. Hanif, Rahayul Amri","doi":"10.35314/isi.v8i2.3767","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3767","url":null,"abstract":"– Current information technology is rapidly advancing, with users utilizing the internet for daily needs, such as the Internet of Things (IoT). IoT plays a crucial role in early flood detection, functioning like smart alarms where connected sensors in flood-prone areas provide rapid warnings as water levels rise. In terms of natural disaster mitigation, IoT acts as an intelligent assistant, aiding in planning measures to reduce risks and losses. With real-time data provided by IoT sensors, authorities can respond more promptly, guide evacuations, and assist communities in facing disasters more effectively. However, challenges arise due to limited response time and early detection processes. Responsive and efficient systems are key to addressing these challenges. In the effort to enhance responsiveness to flood threats, the use of optimal network protocols, namely Message Queue Telemetry Transport (MQTT) and Hyper Text Transport Protocol (HTTP), is crucial in IoT systems. Therefore, a comparison of these network protocols becomes necessary. Results indicate that the MQTT protocol is more suitable for responsive and efficient flood notification data transmission due to its low delay value of 185.749403 ms, while the highest delay is observed in the HTTP protocol at 361.800781 ms. This research provides insights into the superior implementation of MQTT protocols in early flood detection systems.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263045","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}
– Currently, Indonesia is one of the countries with a fairly high stunting rate in the world, where the prevalence of stunting is still in the range of 21.6%, while the minimum standard for stunting prevalence set by WHO is 20%. Stunting is a condition of failure to thrive that occurs early in life, usually in children aged 0-5 years. To overcome this problem, the government and related parties have carried out various efforts and intervention programs, one of which is determining priority areas for handling stunting by clustering. In this research, we will cluster stunting areas based on provinces in Indonesia by referring to several parameters, namely the percentage of immunization, proportion of stunting, coverage of exclusive breastfeeding, coverage of vitamins and blood supplement tablets, as well as access to proper sanitation and drinking water. This research will compare clusters formed using Hierarchical Clustering and K Means. The results of the comparison between the K-Means and Hierarchical Clustering methods show that K-Means produces better cluster grouping in terms of the Silhouette Coefficient value of 0.48 and the Calinski-Harabasz index of 10.49 with the number of clusters formed being 2 clusters. In the Hierarchical Clustering Algorithm, the resulting Silhouette Coefficient value is 0.47 and the Calinski-Harabasz index is 9.54. The greater the value of the Silhouette Coefficient and Calinski-Harabasz index, the better the cluster that is formed.
{"title":"Perbandingan K-Means dan Hierarchical Clustering dalam Pengelompokan Daerah Beresiko Stunting","authors":"I. Indra, Nahya Nur, Muhammad Iqram, Nurul Inayah","doi":"10.35314/isi.v8i2.3612","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3612","url":null,"abstract":"– Currently, Indonesia is one of the countries with a fairly high stunting rate in the world, where the prevalence of stunting is still in the range of 21.6%, while the minimum standard for stunting prevalence set by WHO is 20%. Stunting is a condition of failure to thrive that occurs early in life, usually in children aged 0-5 years. To overcome this problem, the government and related parties have carried out various efforts and intervention programs, one of which is determining priority areas for handling stunting by clustering. In this research, we will cluster stunting areas based on provinces in Indonesia by referring to several parameters, namely the percentage of immunization, proportion of stunting, coverage of exclusive breastfeeding, coverage of vitamins and blood supplement tablets, as well as access to proper sanitation and drinking water. This research will compare clusters formed using Hierarchical Clustering and K Means. The results of the comparison between the K-Means and Hierarchical Clustering methods show that K-Means produces better cluster grouping in terms of the Silhouette Coefficient value of 0.48 and the Calinski-Harabasz index of 10.49 with the number of clusters formed being 2 clusters. In the Hierarchical Clustering Algorithm, the resulting Silhouette Coefficient value is 0.47 and the Calinski-Harabasz index is 9.54. The greater the value of the Silhouette Coefficient and Calinski-Harabasz index, the better the cluster that is formed.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263432","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}
– Flooding is the most common disaster in Indonesia in 2022. Based on a report from the National Disaster Management Agency (BNPB), the number of floods equalled 43.1% of the total national disaster events of around 1,524. One of the areas that was repeatedly affected by flooding from 2022 to 2023 was South Sumatra 99 times. To overcome this problem, machine learning technology can be used as a detection and early warning tool against flooding, one of which is the SVM algorithm. In this study, the performance of various SVM kernels was assessed, and the kernel with the best performance was selected for use in the flood detection system. This research categorizes the flood status with three classification labels: "safe," "alert," and "danger." Various SVM algorithms such as linear, polynomial, RBF, and sigmoid are implemented using public datasets to build a flood status prediction model. Then it will be tested with a flood detection device consisting of an Arduino Uno, NodeMCU, and various sensors such as ultrasonic, water discharge, rainfall, and temperature and humidity sensors. Evaluation measures accuracy, precision, recall, F1-Score, ROC curve, and Cross-Validation. The evaluation results showed that the SVM model with a polynomial kernel was selected as the optimal detection model compared to other kernels. This model achieved a training and testing accuracy of 1.0, a training time of only 0.0012 seconds, a prediction time of 0.0002 seconds, and precision, recall, and F1-score of 1.0. In addition, cross-validation also reached 1.0 in classifying flood data. Testing on the tool used 131 test data with an accuracy of 1.0. Classification results and sensor data are presented through an Android application, making flood monitoring easier.
{"title":"Implementasi Algoritma Support Vector Machine (SVM) untuk Deteksi Banjir","authors":"Agnes Frenica, L. Lindawati, S. Soim","doi":"10.35314/isi.v8i2.3443","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3443","url":null,"abstract":"– Flooding is the most common disaster in Indonesia in 2022. Based on a report from the National Disaster Management Agency (BNPB), the number of floods equalled 43.1% of the total national disaster events of around 1,524. One of the areas that was repeatedly affected by flooding from 2022 to 2023 was South Sumatra 99 times. To overcome this problem, machine learning technology can be used as a detection and early warning tool against flooding, one of which is the SVM algorithm. In this study, the performance of various SVM kernels was assessed, and the kernel with the best performance was selected for use in the flood detection system. This research categorizes the flood status with three classification labels: \"safe,\" \"alert,\" and \"danger.\" Various SVM algorithms such as linear, polynomial, RBF, and sigmoid are implemented using public datasets to build a flood status prediction model. Then it will be tested with a flood detection device consisting of an Arduino Uno, NodeMCU, and various sensors such as ultrasonic, water discharge, rainfall, and temperature and humidity sensors. Evaluation measures accuracy, precision, recall, F1-Score, ROC curve, and Cross-Validation. The evaluation results showed that the SVM model with a polynomial kernel was selected as the optimal detection model compared to other kernels. This model achieved a training and testing accuracy of 1.0, a training time of only 0.0012 seconds, a prediction time of 0.0002 seconds, and precision, recall, and F1-score of 1.0. In addition, cross-validation also reached 1.0 in classifying flood data. Testing on the tool used 131 test data with an accuracy of 1.0. Classification results and sensor data are presented through an Android application, making flood monitoring easier.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"14 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263523","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}
Isfazriah Rahmaliani, Falaah Abdussalaam, E. Gunawan, Matoeari Soelistijaningrum
– In realizing good medical record governance in the inpatient mortality reporting section, an integrated mortality reporting information system technology is needed. Based on research that has been conducted, researchers still find problems, namely the processing and reporting of inpatient mortality data at X Hospital is not fully computerized. So that it becomes inconsistent in inputting and collecting data, this causes delays in reporting mortality data. Therefore, researchers designed an inpatient mortality reporting information system. The research method used is Descriptive Qualitative, with data collection techniques: literature study, field study and interviews with the Head of Medical Records and medical record data processing staff at X Hospital. Using the software development method, namely the Agile Software Development Method which starts from the requirement-design-development-testing-deployment stage and applies security features equipped with a username and password so that it can only be accessed by officers. The final results of the design of the inpatient mortality information system can be implemented to create data processing and reporting that is well compatible and interoperable and ensures the availability of accurate and easily accessible health information, so that it can be used to support the process of management functions, services, and decision making.
- 在住院病人死亡报告科实现良好的病历管理，需要一个综合的死亡报告信息系统技术。根据已开展的研究，研究人员仍然发现了一些问题，即 X 医院住院病人死亡数据的处理和报告没有完全计算机化。因此，在输入和收集数据时变得不一致，这导致了死亡率数据报告的延迟。因此，研究人员设计了一个住院病人死亡率报告信息系统。采用的研究方法是描述性定性研究法，数据收集技术包括文献研究、实地考察以及对 X 医院病历主管和病历数据处理人员的访谈。使用软件开发方法，即从需求-设计-开发-测试-部署阶段开始的敏捷软件开发方法，并应用配备用户名和密码的安全功能，以便只有官员才能访问。住院病人死亡信息系统设计的最终结果可以实施，以创建具有良好兼容性和互操作性的数据处理和报告，并确保提供准确和易于访问的健康信息，以便用于支持管理职能、服务和决策过程。
{"title":"Tata Kelola Rekam Medis Berbasis Elektronik Dalam Pelaporan Mortalitas Pasien Rawat Inap Menggunakan Metode Agile Software Development","authors":"Isfazriah Rahmaliani, Falaah Abdussalaam, E. Gunawan, Matoeari Soelistijaningrum","doi":"10.35314/isi.v8i2.3532","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3532","url":null,"abstract":"– In realizing good medical record governance in the inpatient mortality reporting section, an integrated mortality reporting information system technology is needed. Based on research that has been conducted, researchers still find problems, namely the processing and reporting of inpatient mortality data at X Hospital is not fully computerized. So that it becomes inconsistent in inputting and collecting data, this causes delays in reporting mortality data. Therefore, researchers designed an inpatient mortality reporting information system. The research method used is Descriptive Qualitative, with data collection techniques: literature study, field study and interviews with the Head of Medical Records and medical record data processing staff at X Hospital. Using the software development method, namely the Agile Software Development Method which starts from the requirement-design-development-testing-deployment stage and applies security features equipped with a username and password so that it can only be accessed by officers. The final results of the design of the inpatient mortality information system can be implemented to create data processing and reporting that is well compatible and interoperable and ensures the availability of accurate and easily accessible health information, so that it can be used to support the process of management functions, services, and decision making.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"91 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263936","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}
- Rupiah banknotes are the main means of payment used by the public, but the lack of public knowledge regarding their maintenance and appropriateness characteristics causes damage to the Rupiah currency. Bank Indonesia is trying to overcome this problem with the "Love Proudly Understand the Rupiah" campaign, but it will be difficult to reach the entire community with this education alone. Therefore, a system was developed "Classification of Rupiah Currency Unfit for Circulation using Website-based CNN time which has high accuracy for image classification, producing an accurate model with a short training time. Using a dataset of 14 classes of 2016 emission Rupiah currency, including 7 eligible and non-eligible denominations. Final results show 99.22% accuracy for training, 96.19 % for validation, and 93.57% for testing, in addition to developing deep learning methods, this model will be implemented on the website, which aims to make it easier and help the public to find out the suitability of the Rupiah banknotes they have.
{"title":"Klasifikasi Uang Rupiah Kertas Tidak Layak Edar Menggunakan CNN Xception Transfer Learning Berbasis Website","authors":"Muhammad Albani, Rahmat Rizal Andhi","doi":"10.35314/isi.v8i2.3657","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3657","url":null,"abstract":"- Rupiah banknotes are the main means of payment used by the public, but the lack of public knowledge regarding their maintenance and appropriateness characteristics causes damage to the Rupiah currency. Bank Indonesia is trying to overcome this problem with the \"Love Proudly Understand the Rupiah\" campaign, but it will be difficult to reach the entire community with this education alone. Therefore, a system was developed \"Classification of Rupiah Currency Unfit for Circulation using Website-based CNN time which has high accuracy for image classification, producing an accurate model with a short training time. Using a dataset of 14 classes of 2016 emission Rupiah currency, including 7 eligible and non-eligible denominations. Final results show 99.22% accuracy for training, 96.19 % for validation, and 93.57% for testing, in addition to developing deep learning methods, this model will be implemented on the website, which aims to make it easier and help the public to find out the suitability of the Rupiah banknotes they have.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139264645","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}
Adzra Fakhira, Fitri Insani, M. Irsyad, Yelfi Vitriani, Fitra Kurnia
- Late detection of kidney failure has serious consequences because diagnosis often occurs when the kidney problem has reached a serious level. As happened in Indonesia in 2022, there are 324 confirmed cases and 195 deaths. What affects the patient's cognitive delay is a lack of understanding about the dangers of kidney failure. Kidney failure can be caused by dehydration, chronic diseases such as hypertension and diabetes, and anemia due to injury or surgery. The use of technology can be achieved through the creation of an expert system that uses the Dempster-Shafer method to diagnose kidney failure. In this expert system for early diagnosis of kidney failure, users are invited to briefly enter their personal data and the symptoms they experience. The system then combines the selected symptoms using the Dempster-Shafer method using expert belief theory to obtain a diagnosis in the form of a percentage of users with acute or chronic kidney failure and solve a solution for the user's next action. This research has created a system that is capable of diagnosing kidney failure and is acceptable to users.
{"title":"Diagnosis Dini Penyakit Gagal Ginjal Dengan Metode Dempster","authors":"Adzra Fakhira, Fitri Insani, M. Irsyad, Yelfi Vitriani, Fitra Kurnia","doi":"10.35314/isi.v8i2.3728","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3728","url":null,"abstract":"- Late detection of kidney failure has serious consequences because diagnosis often occurs when the kidney problem has reached a serious level. As happened in Indonesia in 2022, there are 324 confirmed cases and 195 deaths. What affects the patient's cognitive delay is a lack of understanding about the dangers of kidney failure. Kidney failure can be caused by dehydration, chronic diseases such as hypertension and diabetes, and anemia due to injury or surgery. The use of technology can be achieved through the creation of an expert system that uses the Dempster-Shafer method to diagnose kidney failure. In this expert system for early diagnosis of kidney failure, users are invited to briefly enter their personal data and the symptoms they experience. The system then combines the selected symptoms using the Dempster-Shafer method using expert belief theory to obtain a diagnosis in the form of a percentage of users with acute or chronic kidney failure and solve a solution for the user's next action. This research has created a system that is capable of diagnosing kidney failure and is acceptable to users.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"158 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139264688","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}
- One of the problems with PT. Pura Barutama unit Rotogravure satu is they still manage data manually to record properties in the server room. So there are many problems such as the use of a lot of paper resources and the possibility of missing the paper. Therefore, a system is needed that can make it easier for users to record information about properties in the server room quickly and can be accessed anywhere and provide notifications about the state of the server room. This research resulted in an information system for properties in the server room and also a system for delivering information about the temperature and humidity of the server room and many more that users can do such as creating data, changing, deleting, printing, or viewing visualizations from the server room in three dimensions. All these interfaces and functions will be built using Nuxt JS, a framework that can connect the frontend and backend easily. The application will be designed using the waterfall method because it develops an information system systematically and sequentially consisting of several stages from needs analysis, design, and implementation to testing. After going through these stages a product inventory website application is produced to manage goods effectively and efficiently.
- PT.Pura Barutama Rotogravure satu 公司的一个问题是，他们仍在机房手动管理数据，记录属性。因此存在许多问题，如使用大量纸张资源和可能丢失纸张。因此，需要一个能让用户更方便地快速记录机房属性信息、可随时随地访问并提供机房状态通知的系统。这项研究的成果是建立了一个服务器机房属性信息系统，还建立了一个提供服务器机房温度和湿度信息的系统，以及许多用户可以做的事情，如创建数据、更改、删除、打印或查看服务器机房的三维可视化效果。所有这些界面和功能都将使用 Nuxt JS 构建，这是一个可以轻松连接前台和后台的框架。该应用程序将采用瀑布式方法进行设计，因为这种方法可以系统地、按顺序地开发信息系统，包括从需求分析、设计、实施到测试的几个阶段。经过这几个阶段后，产品库存网站应用程序就会制作完成，从而有效和高效地管理货物。
{"title":"Rancang Bangun Sistem Informasi Pengelolaan Barang Berbasis Web Menggunakan Framework Nuxt JS","authors":"Theo Servis Bantang, A. Nugroho","doi":"10.35314/isi.v8i2.3344","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3344","url":null,"abstract":"- One of the problems with PT. Pura Barutama unit Rotogravure satu is they still manage data manually to record properties in the server room. So there are many problems such as the use of a lot of paper resources and the possibility of missing the paper. Therefore, a system is needed that can make it easier for users to record information about properties in the server room quickly and can be accessed anywhere and provide notifications about the state of the server room. This research resulted in an information system for properties in the server room and also a system for delivering information about the temperature and humidity of the server room and many more that users can do such as creating data, changing, deleting, printing, or viewing visualizations from the server room in three dimensions. All these interfaces and functions will be built using Nuxt JS, a framework that can connect the frontend and backend easily. The application will be designed using the waterfall method because it develops an information system systematically and sequentially consisting of several stages from needs analysis, design, and implementation to testing. After going through these stages a product inventory website application is produced to manage goods effectively and efficiently.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"40 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139266054","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}
Abstrack - Posyandu is a health service unit that provides various basic health services for the community. Posyandu is also the first place that people at the village or sub-district level can visit to get basic health services, especially for pregnant women and toddlers. One important part of implementing posyandu is recording. Data recording has an important role in health monitoring, making reports and evaluations as well as documenting the health of the people who are examined and served at the posyandu so it needs to be done effectively, accurately and also have safe data storage media. The Posyandu application in this research was developed by utilizing Waterfall system development which begins with the system analysis stage of input, process, output, software and hardware. Second, design the system. Third, the implementation system uses the PHP programming language with the Codeigniter Framework, Bootstrap Framework, and uses a MySQL database. Next we enter the system testing and maintenance phase. The application is equipped with features: managing system user data, managing toddler identity and examination data, toddler development charts, managing identity data and examinations for pregnant women, notifications as reminders for toddler immunization schedules and reminder notifications for health examination schedules during pregnancy for pregnant women sent via application. WhatsApp, and print or download examination reports for pregnant women and toddlers.
{"title":"Rancang Bangun Aplikasi Pengolahan Data Posyandu Menggunakan Metode Waterfall Berbasis Website","authors":"Eka Rani Noviana, N. Marpaung","doi":"10.35314/isi.v8i2.3616","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3616","url":null,"abstract":"Abstrack - Posyandu is a health service unit that provides various basic health services for the community. Posyandu is also the first place that people at the village or sub-district level can visit to get basic health services, especially for pregnant women and toddlers. One important part of implementing posyandu is recording. Data recording has an important role in health monitoring, making reports and evaluations as well as documenting the health of the people who are examined and served at the posyandu so it needs to be done effectively, accurately and also have safe data storage media. The Posyandu application in this research was developed by utilizing Waterfall system development which begins with the system analysis stage of input, process, output, software and hardware. Second, design the system. Third, the implementation system uses the PHP programming language with the Codeigniter Framework, Bootstrap Framework, and uses a MySQL database. Next we enter the system testing and maintenance phase. The application is equipped with features: managing system user data, managing toddler identity and examination data, toddler development charts, managing identity data and examinations for pregnant women, notifications as reminders for toddler immunization schedules and reminder notifications for health examination schedules during pregnancy for pregnant women sent via application. WhatsApp, and print or download examination reports for pregnant women and toddlers.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"36 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265602","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}
PKU Muhammadiyah Mayong Hospital is a health institution that focuses on excellent service to patients. The increasing need for service functions is a driving factor for the application of information technology at PKU Muhammadiyah Mayong Hospital. To support the alignment of the application of information systems with the needs of the hospital, a paradigm called enterprise architecture is needed. This study aims to analyze the planning of enterprise architecture using the Open Group Architecture Framework (TOGAF) framework with the Architecture Development Method (ADM) method at PKU Muhammadiyah Mayong Hospital. TOGAF is a generic architectural framework designed to be used in various types and sizes of organizations. ADM is a method that contains a set of activities used in modeling the development of enterprise architecture. This research is expected to be useful for PKU Muhammadiyah Mayong Hospital to integrate business processes with information technology. At each stage of ADM what is done is the process of identifying problems, analyzing problems and solutions to these problems. In this study the stages used only up to the information system architecture. The results of this study are proposed business architecture, data architecture and application architecture.
{"title":"Perencanaan Arsitektur Enterprise Menggunakan Framework TOGAF (The Open Group Architecture Framework)","authors":"Afriza Meigi Zukhruf, A. Widodo, Eko Sediyono","doi":"10.35314/isi.v8i2.3338","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3338","url":null,"abstract":"PKU Muhammadiyah Mayong Hospital is a health institution that focuses on excellent service to patients. The increasing need for service functions is a driving factor for the application of information technology at PKU Muhammadiyah Mayong Hospital. To support the alignment of the application of information systems with the needs of the hospital, a paradigm called enterprise architecture is needed. This study aims to analyze the planning of enterprise architecture using the Open Group Architecture Framework (TOGAF) framework with the Architecture Development Method (ADM) method at PKU Muhammadiyah Mayong Hospital. TOGAF is a generic architectural framework designed to be used in various types and sizes of organizations. ADM is a method that contains a set of activities used in modeling the development of enterprise architecture. This research is expected to be useful for PKU Muhammadiyah Mayong Hospital to integrate business processes with information technology. At each stage of ADM what is done is the process of identifying problems, analyzing problems and solutions to these problems. In this study the stages used only up to the information system architecture. The results of this study are proposed business architecture, data architecture and application architecture.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"199 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262663","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}
Elisabeth Eunike Switenia Laowo, Yada Syahidin, Irda Sari
- In a study conducted at a hospital in the city of Bandung, there were still problems when reporting non-communicable diseases because the reporting of non-communicable diseases was still done manually by collecting data from the registration system used at the hospital and then entering it into Microsoft Excel, this can affect the performance of officers because it can take time. So a system is needed that can assist officers in presenting timely and detailed reporting information. The research used is descriptive qualitative by conducting interviews and a literature study. The design of this reporting system uses the Rapid Application Development (RAD) method through Microsoft Visual Studio 2012 with a database using Microsoft Access. The results of this study indicate that the non-communicable disease reporting system can make it easier for officers to present reports.
- 在万隆市一家医院进行的一项研究发现，非传染性疾病的报告仍然存在问题，因为非传染性疾病的报告仍然是通过人工方式完成的，即从医院使用的登记系统中收集数据，然后输入到 Microsoft Excel 中。因此，需要建立一个系统，帮助医务人员及时提供详细的报告信息。本研究通过访谈和文献研究进行描述性定性研究。该报告系统的设计通过 Microsoft Visual Studio 2012 使用快速应用程序开发 (RAD) 方法，数据库使用 Microsoft Access。本研究的结果表明，非传染性疾病报告系统可以使官员们更轻松地提交报告。
{"title":"Perancangan Sistem Laporan Penyakit Tidak Menular Dengan Menggunakan Metode Rapid Application Development (RAD)","authors":"Elisabeth Eunike Switenia Laowo, Yada Syahidin, Irda Sari","doi":"10.35314/isi.v8i2.3428","DOIUrl":"https://doi.org/10.35314/isi.v8i2.3428","url":null,"abstract":"- In a study conducted at a hospital in the city of Bandung, there were still problems when reporting non-communicable diseases because the reporting of non-communicable diseases was still done manually by collecting data from the registration system used at the hospital and then entering it into Microsoft Excel, this can affect the performance of officers because it can take time. So a system is needed that can assist officers in presenting timely and detailed reporting information. The research used is descriptive qualitative by conducting interviews and a literature study. The design of this reporting system uses the Rapid Application Development (RAD) method through Microsoft Visual Studio 2012 with a database using Microsoft Access. The results of this study indicate that the non-communicable disease reporting system can make it easier for officers to present reports.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263097","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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