Sabran Sabran, Iwan Abdi Suandana, Dian Kartika Sari
Teaching Factory (TEFA) House of Health Promotion establishment is to enhance healthcare services and public welfare quality. An in-depth analysis is needed to determine the internal and external factors that could influence the creation of TEFA. This research aimed to analyze the Health Service Innovation Strategy of TEFA House of Health Promotion using SWOT analysis. This research method was qualitative, instrument using questionnaires given to TEFA staff and data analysis conducted using SWOT analysis. The research results were based on the SWOT analysis diagram, indicating that TEFA House of Health Promotion was in quadrant I (aggressive quadrant). The recommended strategy is to develop TEFA as a service provider in the health promotion sector. The management of TEFA must create an effective management organizational structure, design a comprehensive TEFA business plan and strategy, and construct a clear workflow and performance Standard Operating Procedure (SOP). It also required a well-defined management and service governance SOP and a well-structured work program. Extend promotions locally and reach a broader audience by utilizing promotional media. Overall, the proposed service innovation strategies are expected to assist TEFA House of Health Promotion in achieving its goal of enhancing the quality of health services and overall public health.
{"title":"Health Service Innovation Strategy of TEFA House of Health Promotion with SWOT Analysis","authors":"Sabran Sabran, Iwan Abdi Suandana, Dian Kartika Sari","doi":"10.47134/ijhis.v1i3.33","DOIUrl":"https://doi.org/10.47134/ijhis.v1i3.33","url":null,"abstract":"Teaching Factory (TEFA) House of Health Promotion establishment is to enhance healthcare services and public welfare quality. An in-depth analysis is needed to determine the internal and external factors that could influence the creation of TEFA. This research aimed to analyze the Health Service Innovation Strategy of TEFA House of Health Promotion using SWOT analysis. This research method was qualitative, instrument using questionnaires given to TEFA staff and data analysis conducted using SWOT analysis. The research results were based on the SWOT analysis diagram, indicating that TEFA House of Health Promotion was in quadrant I (aggressive quadrant). The recommended strategy is to develop TEFA as a service provider in the health promotion sector. The management of TEFA must create an effective management organizational structure, design a comprehensive TEFA business plan and strategy, and construct a clear workflow and performance Standard Operating Procedure (SOP). It also required a well-defined management and service governance SOP and a well-structured work program. Extend promotions locally and reach a broader audience by utilizing promotional media. Overall, the proposed service innovation strategies are expected to assist TEFA House of Health Promotion in achieving its goal of enhancing the quality of health services and overall public health.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613816","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}
Bakhtiyar Hadi Prakoso, Veronika Vestine, Gandu Eko Julianto Suyoso
TeFa House of Health Promotion at Polije is a Teaching Factory that is currently initiated by the Health Department's Health Promotion study program. This TeFa serves as a platform for health communication, information, and education, as well as a space for research and the dissemination of research findings by faculty and students. Based on the conducted situation analysis, TeFa Health Promotion House currently lacks integration of communication, information, and education media into health promotion activities. This deficiency leads to suboptimal management of health media content. The aim of this research is to create a web portal design for this problem. The method used to develop this portal design is the User-Centered Design method. The results of testing and design analysis conclude that the portal design developed aligns with user expectations. The main features include Articles, Consultations, Videos, Audio, and Polls. For further research, the design can be expanded into an application
波利耶健康促进之家（TeFa House of Health Promotion at Polije）是一个教学工厂，目前由卫生部的健康促进研究项目发起。该 TeFa 是健康交流、信息和教育的平台，也是教师和学生开展研究和传播研究成果的空间。根据所进行的情况分析，TeFa 健康促进之家目前缺乏将传播、信息和教育媒体与健康促进活动相结合。这一缺陷导致健康媒体内容的管理不尽如人意。本研究的目的是针对这一问题设计一个门户网站。开发该门户网站设计的方法是用户中心设计法。测试和设计分析的结果表明，所开发的门户网站设计符合用户的期望。主要功能包括文章、咨询、视频、音频和投票。为进一步研究，该设计可扩展为一个应用程序
{"title":"Design of Interactive Health Promotion Portal Prototype at House of Health Promotion TeFa","authors":"Bakhtiyar Hadi Prakoso, Veronika Vestine, Gandu Eko Julianto Suyoso","doi":"10.47134/ijhis.v1i3.30","DOIUrl":"https://doi.org/10.47134/ijhis.v1i3.30","url":null,"abstract":"TeFa House of Health Promotion at Polije is a Teaching Factory that is currently initiated by the Health Department's Health Promotion study program. This TeFa serves as a platform for health communication, information, and education, as well as a space for research and the dissemination of research findings by faculty and students. Based on the conducted situation analysis, TeFa Health Promotion House currently lacks integration of communication, information, and education media into health promotion activities. This deficiency leads to suboptimal management of health media content. The aim of this research is to create a web portal design for this problem. The method used to develop this portal design is the User-Centered Design method. The results of testing and design analysis conclude that the portal design developed aligns with user expectations. The main features include Articles, Consultations, Videos, Audio, and Polls. For further research, the design can be expanded into an application","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139617721","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}
D. Utomo, Adi Heru Utomo, Zora Olivia, Nita Maria, Nilla Putri Rosidania
Dehydration is a condition where the body lacks the fluids it needs to carry out its functions optimally. Dehydration can cause various health problems, including decreased mental and physical performance, and can even cause death if not treated immediately. Therefore, it is important to be able to detect and treat dehydration early. One way to detect dehydration is through urine color analysis. Urine that is darker than normal can be a sign of dehydration. The classification of dehydration level according to urine color is as follows: 1-2: Hydrated, 3-4: Mildly dehydrated, 5-6: Dehydrated, 7-8: Very dehydrated. This research aims to develop an IoT-based dehydration detection system that can detect the level of dehydration in a person based on urine color and regulate water intake automatically using a water pump. The novelty of this research is the method of integrating drinking water intake with dehydration detection based on real-time urine color based on IoT using the Fuzzy Logic method. The results of this research are used by the Jember State Polytechnic TeFa Nutrition Care Center (NCC) in serving patients. The methodology used in this research is Fuzzy Logic image processing to process urine color data and determine a person's level of dehydration. After carrying out this research, the following conclusions were obtained: Based on the literature study in this research, 8 levels of hydration status according to NSW Health were obtained, then from this literature a method was obtained to measure a person's hydration based on urine color using image processing using the Fuzzy Logic method.
{"title":"Detecting Dehydration Based on Urine Color Using Fuzzy Logic Image Processing and Regulating Water Intake with an Automatic Water Pump According to Dehydration Level Using an IoT-Based","authors":"D. Utomo, Adi Heru Utomo, Zora Olivia, Nita Maria, Nilla Putri Rosidania","doi":"10.47134/ijhis.v1i3.32","DOIUrl":"https://doi.org/10.47134/ijhis.v1i3.32","url":null,"abstract":"Dehydration is a condition where the body lacks the fluids it needs to carry out its functions optimally. Dehydration can cause various health problems, including decreased mental and physical performance, and can even cause death if not treated immediately. Therefore, it is important to be able to detect and treat dehydration early. One way to detect dehydration is through urine color analysis. Urine that is darker than normal can be a sign of dehydration. The classification of dehydration level according to urine color is as follows: 1-2: Hydrated, 3-4: Mildly dehydrated, 5-6: Dehydrated, 7-8: Very dehydrated. This research aims to develop an IoT-based dehydration detection system that can detect the level of dehydration in a person based on urine color and regulate water intake automatically using a water pump. The novelty of this research is the method of integrating drinking water intake with dehydration detection based on real-time urine color based on IoT using the Fuzzy Logic method. The results of this research are used by the Jember State Polytechnic TeFa Nutrition Care Center (NCC) in serving patients. The methodology used in this research is Fuzzy Logic image processing to process urine color data and determine a person's level of dehydration. After carrying out this research, the following conclusions were obtained: Based on the literature study in this research, 8 levels of hydration status according to NSW Health were obtained, then from this literature a method was obtained to measure a person's hydration based on urine color using image processing using the Fuzzy Logic method.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139618610","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}
Mudafiq Riyan Pratama, Gamasiano Alfiansyah, S. J. Swari
Manual patient registration at the Polyclinic of Politeknik Negeri Jember (POLIJE) offers ineffectiveness in the patient services. Long waiting time and uninformed service hours at the polyclinic are two problems that need to solve. This study aimed to design a website-based registration system for the POLIJE Polyclinic. The researcher used the FAST (Framework for the Application of System Thinking) method. This method has detailed stages and is capable of producing more efficient, effective, accurate and timely data and information management. The application was built using PHP programming language with Laravel Framework. The registration system was implemented using RFId on patient cards to make the process of reading and registering patient data faster. The web-based registration system with RFId patient cards functions well with features: new patient registration, registration of patient visits with RFId cards, patient queues, verification of patients who register online, as well as patient, doctor and clinic data management.
金边理工学院综合医院（POLIJE）的人工病人登记服务效率低下。在综合诊所等候时间长和服务时间不明是需要解决的两个问题。本研究旨在为 POLIJE 综合诊所设计一个基于网站的登记系统。研究人员使用了 FAST（系统思维应用框架）方法。该方法有详细的阶段划分，能够更高效、有效、准确、及时地管理数据和信息。该应用程序使用 PHP 编程语言和 Laravel 框架构建。挂号系统在病人卡上使用 RFId，使读取和登记病人数据的过程更加快捷。使用 RFId 患者卡的网络挂号系统功能完善，具有以下功能：新患者登记、使用 RFId 卡的患者就诊登记、患者排队、在线登记患者验证以及患者、医生和诊所数据管理。
{"title":"FAST Method to Design Web-Based Patient Registration System","authors":"Mudafiq Riyan Pratama, Gamasiano Alfiansyah, S. J. Swari","doi":"10.47134/ijhis.v1i3.27","DOIUrl":"https://doi.org/10.47134/ijhis.v1i3.27","url":null,"abstract":"Manual patient registration at the Polyclinic of Politeknik Negeri Jember (POLIJE) offers ineffectiveness in the patient services. Long waiting time and uninformed service hours at the polyclinic are two problems that need to solve. This study aimed to design a website-based registration system for the POLIJE Polyclinic. The researcher used the FAST (Framework for the Application of System Thinking) method. This method has detailed stages and is capable of producing more efficient, effective, accurate and timely data and information management. The application was built using PHP programming language with Laravel Framework. The registration system was implemented using RFId on patient cards to make the process of reading and registering patient data faster. The web-based registration system with RFId patient cards functions well with features: new patient registration, registration of patient visits with RFId cards, patient queues, verification of patients who register online, as well as patient, doctor and clinic data management.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139618926","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}
Atma Deharja, Muhammad Yunus, Arinda Lironika Suryana
One of Politeknik Negeri Jember's Teaching Factories (TEFA) that offers community nutrition services is the Nutrition Care Centre (NCC). The design of electronic medical records (EMRs) for continuous care patients, especially those with non-communicable diseases, is being studied in order to meet the ever-increasing needs of health care, assist patients who require continuous care, and improve the way that modern medical technology serves humans. The Waterfall framework concept is used in the research process, and an electronic medical record system is designed in accordance with the goals and the overall architecture of the system. Black-box testing and white-box testing are then conducted to evaluate the features, dependability, and stability of the designed electronic medical record system. Furthermore, when combined with other research findings, the design's viability is demonstrated. It is evident that the electronic medical record system created for the study's patients who require ongoing care is entirely workable. As electronic medical records continue to develop, there will be more opportunities to research and enhance this system, which will benefit patients and hospitals alike in the long run.
{"title":"Integrated Electronic Medical Record Design With Nutritional Screening System at NCC’s Teaching Factory","authors":"Atma Deharja, Muhammad Yunus, Arinda Lironika Suryana","doi":"10.47134/ijhis.v1i3.28","DOIUrl":"https://doi.org/10.47134/ijhis.v1i3.28","url":null,"abstract":"One of Politeknik Negeri Jember's Teaching Factories (TEFA) that offers community nutrition services is the Nutrition Care Centre (NCC). The design of electronic medical records (EMRs) for continuous care patients, especially those with non-communicable diseases, is being studied in order to meet the ever-increasing needs of health care, assist patients who require continuous care, and improve the way that modern medical technology serves humans. The Waterfall framework concept is used in the research process, and an electronic medical record system is designed in accordance with the goals and the overall architecture of the system. Black-box testing and white-box testing are then conducted to evaluate the features, dependability, and stability of the designed electronic medical record system. Furthermore, when combined with other research findings, the design's viability is demonstrated. It is evident that the electronic medical record system created for the study's patients who require ongoing care is entirely workable. As electronic medical records continue to develop, there will be more opportunities to research and enhance this system, which will benefit patients and hospitals alike in the long run.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139625046","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}
Gibran Satya Nugraha, A. Juliansyah, Muhammad Tajuddin
One method for detecting glaucoma is by comparing ratios in the area of neuroretinal rim. Comparing area ratios in the neuroretinal rim is difficult for ophthalmologists since it requires high accuracy and is highly dependent on the patient's retinal condition. In this study, we sought to perform neuro retinal rim feature extraction based on histogram and gray level co-occurrence matrix (GLCM) of normal retinal images and glaucoma, automatically distinguish between normal eyes and eyes with glaucoma, and evaluate the method's validity using the measures of accuracy, sensitivity, and specificity We adopted a machine learning approach in conducting automatic feature extraction of the retinal rim through three main stages: 1) image acquisition, 2) pre-processing, and 3) classification. We used a dataset from RIM-ONE for normal eyes images and DRISTHI-GS for glaucoma images.Classification was carried out on 154 images (80 images for glaucoma images and 74 images for normal images). Regarding true positive, false negative, false positive, and true negative, we examined the sensitivity, specificity, and accuracy of automatic extraction and classification. The highest findings are 96.10%, 98.75%, and 93.24%, respectively. This study showed that automatic texture features and classification are possible, accurate and important in detecting glaucoma.
{"title":"Glaucoma Detection Based on Texture Feature of Neuro Retinal Rim Area in Retinal Fundus Image","authors":"Gibran Satya Nugraha, A. Juliansyah, Muhammad Tajuddin","doi":"10.47134/ijhis.v1i3.21","DOIUrl":"https://doi.org/10.47134/ijhis.v1i3.21","url":null,"abstract":"One method for detecting glaucoma is by comparing ratios in the area of neuroretinal rim. Comparing area ratios in the neuroretinal rim is difficult for ophthalmologists since it requires high accuracy and is highly dependent on the patient's retinal condition. In this study, we sought to perform neuro retinal rim feature extraction based on histogram and gray level co-occurrence matrix (GLCM) of normal retinal images and glaucoma, automatically distinguish between normal eyes and eyes with glaucoma, and evaluate the method's validity using the measures of accuracy, sensitivity, and specificity We adopted a machine learning approach in conducting automatic feature extraction of the retinal rim through three main stages: 1) image acquisition, 2) pre-processing, and 3) classification. We used a dataset from RIM-ONE for normal eyes images and DRISTHI-GS for glaucoma images.Classification was carried out on 154 images (80 images for glaucoma images and 74 images for normal images). Regarding true positive, false negative, false positive, and true negative, we examined the sensitivity, specificity, and accuracy of automatic extraction and classification. The highest findings are 96.10%, 98.75%, and 93.24%, respectively. This study showed that automatic texture features and classification are possible, accurate and important in detecting glaucoma.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139630678","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}
Mudafiq Riyan Pratama, Gamasiano Alfiansyah, S. J. Swari, Aulia Arif Wardana
Manual management of medical records at the Polije Polyclinic causes long data retrieval time, misfiling, and requiring a lot of spaces for storage, thus hampering health services. Electronic Medical Records (EMR) are one type of medical record management that can be used to solve the issue. EMR is built based on Software as a Service (SaaS) which enables it to be used by all healthcare providers with minimal infrastructure and optimal data integration. The application used a single identity number for each patient, and it caused less redundancy in patient registration data. Developed using the Waterfall method, it was processed at several stages: analysis, design, implementation, testing, deployment, and maintenance. The EMR system had some features: recording history, diagnosis, and therapy. In the diagnosis section, the system had a disease code related to ICD-10. It can be concluded that the Electronic Medical Record (EMR) is ready to be implemented in the POLIJE polyclinic. The implementation of EMR is important to reinforce the Regulation of the Indonesian Minister of Health Number 24 of 2022 concerning Medical Records.
{"title":"Electronic Medical Records (EMR) Using a Software as a Service (SaaS) with a Single Identity Number at the Polije Polyclinic","authors":"Mudafiq Riyan Pratama, Gamasiano Alfiansyah, S. J. Swari, Aulia Arif Wardana","doi":"10.47134/ijhis.v1i2.12","DOIUrl":"https://doi.org/10.47134/ijhis.v1i2.12","url":null,"abstract":"Manual management of medical records at the Polije Polyclinic causes long data retrieval time, misfiling, and requiring a lot of spaces for storage, thus hampering health services. Electronic Medical Records (EMR) are one type of medical record management that can be used to solve the issue. EMR is built based on Software as a Service (SaaS) which enables it to be used by all healthcare providers with minimal infrastructure and optimal data integration. The application used a single identity number for each patient, and it caused less redundancy in patient registration data. Developed using the Waterfall method, it was processed at several stages: analysis, design, implementation, testing, deployment, and maintenance. The EMR system had some features: recording history, diagnosis, and therapy. In the diagnosis section, the system had a disease code related to ICD-10. It can be concluded that the Electronic Medical Record (EMR) is ready to be implemented in the POLIJE polyclinic. The implementation of EMR is important to reinforce the Regulation of the Indonesian Minister of Health Number 24 of 2022 concerning Medical Records.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114904960","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}
Erna Selviyanti, M. Roziqin, D. S. H. Putra, Muhammad Syeikhooni Noor
The Basic Health Research in 2018 showed that the prevalence of non-communicable diseases including cancer, stroke, chronic kidney disease, diabetes mellitus, and hypertension increased in Indonesia. The main risk factors are metabolic factors, behavioral factors, and environmental factors. Based on the existing problems, an Android-based intelligent application for the diagnosis and mapping of 10 diseases was proposed at the Teaching Factory Nutrition Care Center. This application development used the Expert System Development Life Cycle model and Dart Language. The framework used is Flutter. This article only discusses the implementation and testing of applications made based on Android. This application was developed to perform a diagnosis based on some patients’ data. This application is used as a reference for early detection of a disease, allowing patients to take preventive measures. It can map the number of patients who had health consultations in each department. The users of the application were a doctor, nutritionist or health consultant at the Teaching Factory Nutrition Care Center. System functionality tested using Blackbox-testing showed that the application ran well.
{"title":"“DIA SMART” Android-Based Intelligent Application Expert System for Diagnosis and Mapping of 10 Diseases at Teaching Factory Nutrition Care Center","authors":"Erna Selviyanti, M. Roziqin, D. S. H. Putra, Muhammad Syeikhooni Noor","doi":"10.47134/ijhis.v1i2.7","DOIUrl":"https://doi.org/10.47134/ijhis.v1i2.7","url":null,"abstract":"The Basic Health Research in 2018 showed that the prevalence of non-communicable diseases including cancer, stroke, chronic kidney disease, diabetes mellitus, and hypertension increased in Indonesia. The main risk factors are metabolic factors, behavioral factors, and environmental factors. Based on the existing problems, an Android-based intelligent application for the diagnosis and mapping of 10 diseases was proposed at the Teaching Factory Nutrition Care Center. This application development used the Expert System Development Life Cycle model and Dart Language. The framework used is Flutter. This article only discusses the implementation and testing of applications made based on Android. This application was developed to perform a diagnosis based on some patients’ data. This application is used as a reference for early detection of a disease, allowing patients to take preventive measures. It can map the number of patients who had health consultations in each department. The users of the application were a doctor, nutritionist or health consultant at the Teaching Factory Nutrition Care Center. System functionality tested using Blackbox-testing showed that the application ran well.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133716976","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}
P. Arum, Ida Nurmawati, Niyalatul Muna, I. Muflihatin, Demiawan Rachmatta Putro Mudiono, A. P. Wicaksono
Nutritional status in toddlers is one of the indicators used to describe the quality of toddler health. Toddlers’ nutritional status is interpreted based on some indices, namely weight for age, length/height for age, and weight for length/height Z-score. The nutritional status of toddlers is affected by various factors, both maternal and child factors. Anaemia and chronic energy deficiency during pregnancy affect a toddler’s nutrition status. Birth weight, exclusive breastfeeding, and complementary food may result in a toddler’s nutrition status as well. This study aims to compare the mother’s and toddler’s characteristics based on the nutritional status of the toddler. This was an observational analytical cross-sectional study. All data for the analysis of this paper were obtained from observations of the toddlers, interviews with mothers, and recorded data from KIA book. Toddlers’ weight and length/height were measured when the subject came to Posyandu. Questions about exclusive breastfeeding and complementary food were asked of mothers. Information about anaemia and chronic energy deficiency status was obtained from KIA book. This study used chi-square test to finds evidence that, on 88 subjects, there is no difference in anaemia and chronic energy deficiency during pregnancy, birth weight, exclusive breastfeeding, and complementary food among all nutritional status indices.
{"title":"Comparison of Mother’s and Toddler’s Characteristics Based On The Nutritional Status of The Toddler","authors":"P. Arum, Ida Nurmawati, Niyalatul Muna, I. Muflihatin, Demiawan Rachmatta Putro Mudiono, A. P. Wicaksono","doi":"10.47134/ijhis.v1i2.4","DOIUrl":"https://doi.org/10.47134/ijhis.v1i2.4","url":null,"abstract":"Nutritional status in toddlers is one of the indicators used to describe the quality of toddler health. Toddlers’ nutritional status is interpreted based on some indices, namely weight for age, length/height for age, and weight for length/height Z-score. The nutritional status of toddlers is affected by various factors, both maternal and child factors. Anaemia and chronic energy deficiency during pregnancy affect a toddler’s nutrition status. Birth weight, exclusive breastfeeding, and complementary food may result in a toddler’s nutrition status as well. This study aims to compare the mother’s and toddler’s characteristics based on the nutritional status of the toddler. This was an observational analytical cross-sectional study. All data for the analysis of this paper were obtained from observations of the toddlers, interviews with mothers, and recorded data from KIA book. Toddlers’ weight and length/height were measured when the subject came to Posyandu. Questions about exclusive breastfeeding and complementary food were asked of mothers. Information about anaemia and chronic energy deficiency status was obtained from KIA book. This study used chi-square test to finds evidence that, on 88 subjects, there is no difference in anaemia and chronic energy deficiency during pregnancy, birth weight, exclusive breastfeeding, and complementary food among all nutritional status indices.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127007330","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}
Skin is part of the outer layer of the human body which is flexible, soft and sensitive and is the first line of defense from various germs, viruses, bacteria and what is very important and the main part is facial skin, therefore we must keep it healthy, fresh and clean by determining proper beauty facial treatment. This research was conducted to design and create an expert system capable of identifying facial skin types to determine facial beauty treatments. Making this expert system using forward chaining method. The result of this research is an application that can help make it easier for users to determine facial facial treatments without having to queue and wait for consultations with a beauty doctor, so that they can immediately determine the appropriate type of skin facial treatment through the Android application.
{"title":"Implementation Of Forward Chaining Expert System To Identify Facial Skin Types In Determining Facial Beauty Treatments","authors":"Khairil Anam, N. Irawan, Ahmad Homaidi","doi":"10.47134/ijhis.v1i2.16","DOIUrl":"https://doi.org/10.47134/ijhis.v1i2.16","url":null,"abstract":"Skin is part of the outer layer of the human body which is flexible, soft and sensitive and is the first line of defense from various germs, viruses, bacteria and what is very important and the main part is facial skin, therefore we must keep it healthy, fresh and clean by determining proper beauty facial treatment. This research was conducted to design and create an expert system capable of identifying facial skin types to determine facial beauty treatments. Making this expert system using forward chaining method. The result of this research is an application that can help make it easier for users to determine facial facial treatments without having to queue and wait for consultations with a beauty doctor, so that they can immediately determine the appropriate type of skin facial treatment through the Android application.","PeriodicalId":106098,"journal":{"name":"International Journal of Health and Information System","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132628404","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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