bluuebunny/crossref_metadata_2025 huggingface dataset:
SOSYAL MÜHENDİSLİK PROJESİ OLARAK TALİBAN HAREKETİ VE DİN ANLAYIŞI
Authors: MOHAMMADİ Abdullah
Published: December 2023

Taliban Hareketi 1994 yılında Kandahar’a bağlı İspin Boldak ilçesinde Tahrik-e İslami Ulema-ye Kiram adı altında, güvensizliğe, rüşvete, yoksulluğa, şirke ve küfre karşı cihat sloganıyla ortaya çıkmıştır. Afganistan’da iktidar olduğu dönemlerde Pakistan, Suudi Arabistan ve körfez Arap Emirlikleri ile yakın ilişkiler kurmuştur. İslam şeriatını Müslüman bir topluma uygulanabilir kılmak amacıyla dini, siyasi bir zemine taşıma gayreti içerisinde olmuştur. Bu nedenle dini, devletin merkezine yerleştirerek bireylerin dinsel kimliğini güçlendirmeyi ve din temelli bir devlet kurmayı hedeflemiştir. Bundan dolayı liderini tüm Müslümanların halifesi olarak ilan etmiştir. Taliban Hareketini oluşturan yapı, Pakistan’daki Vehhabi ve Deoband çizgisinde kurulan medreselerde din eğitimi almıştır. Diğer bir taraftan da din anlayışını Peştun kabilelerinin sosyo-kültürel kodları büyük ölçüde etkilemiştir. Sonuç olarak Taliban Hareketinin din algısının kriterleri net olmasa da genel olarak Vehhabilik düşüncesi, Deoband okullarının öğretileri ve kabilecilik anlayışından beslendiği ifade edilebilir. Taliban Hareketi, Kur’an ve Hadislerin zahiri ve kuru manaları etrafında şekillenen kendilerine özel bir din anlayışı geliştirmiştir. Bu çalışmada Taliban Hareketinin din anlayışını oluşturan kriterler incelenmeye çalışılacaktır.
Optimization of Historic Buildings Recognition: CNN Model and Supported by Pre-processing Methods
Authors: Rangkuti Abdul Haris , Hasbi Athala Varyl , Haridhi Indallah Farrel , Tanuar Evawaty , Muliadi Kerta Johan
Published: December 2023

Several cities in Indonesia, such as Cirebon, Bandung, and Bogor, have several historical buildings that date back to the Dutch colonial period. Several Dutch colonial heritage buildings can be found in several areas. The existence of historical buildings also would attract foreign or local tourists who visit one of an area. We need a technology or model that would support the recognition and identification of buildings, including their characteristics. However, recognizing and identifying them is a problem in itself, so technology would be needed to help them. The technology or model that would be implemented in this research is the Convolutional Neural Network model, a derivative of Artificial Intelligent technology focused on image processing and pattern recognition. This process consists of several stages. The initial stage uses the Gaussian Blur, SuCK, and CLAHE methods which are useful for image sharpening and recognition. The second process is feature extraction of the image characteristics of buildings. The results of the image process will support the third process, namely the image retrieval process of buildings based on their characteristics. Based on these three main processes, they would facilitate and support local and foreign tourists to recognize historic buildings in the area. In this experiment, the Euclidean distance and Manhattan distance methods were used in the retrieval process. The highest accuracy in the retrieval process for the feature extraction process with the DenseNet 121 model with the initial process is Gaussian Blur of 88.96% and 88.46%, with the SuCK method of 88.3 and 87.8%, and with CLAHE of 87.7%, and 87.6%. We hope that this research can be continued to identify buildings with more complex characteristics and models.
A New Feature Extraction Approach in Classification for Improving the Accuracy in Iris Recognition
Authors: Qadir Tara Othman , Taujuddin Nik Shahidah , Fuad Norfaiza
Published: December 2023

Personal identity is becoming increasingly vital to meet the increasing security standards of today's business society. Iris recognition is one of the most accurate biometric technologies currently in use. Iris recognition is employed in high-security sectors due to its dependability and flawless identification rates. The steps of iris identification, comprising image preparation, extraction of features, and classifier creation, are described thoroughly in the primary portion of this research. The feature extraction stage is the most important in an iris identification system since it extracts the iris's distinctive feature. Several methods have been devised to extract the various characteristics that are unique to everyone. Modern iris identification systems frequently use Gabor filters to identify iris textural characteristics. However, in the application, it is necessary to identify the appropriate Gabor modules and to generate a pattern of iris Gabor characteristics. This research aims to provide a novel multi-channel Gabor filter and Wavelet filter for breaking down and extracting iris data from two different iris datasets. Because wavelet is the most scalable method of image processing, the research investigates using it to create a unique pattern for the iris recognition system. The MATLAB program is used to implement these ideas. CASIA and MMU are the datasets used for this purpose, and their comparative analysis is addressed in the research. To show how well the method performs, experimental results are given. We demonstrate through experiments that the suggested approach results in excellent iris identification performance.Â
Performance Improvement of Deep Convolutional Networks for Aerial Imagery Segmentation of Natural Disaster-Affected Areas
Authors: Nugraha Deny Wiria , Ilham Amil Ahmad , Achmad Andani , Arief Ardiaty
Published: December 2023

This study proposes a framework for improving performance and exploring the application of Deep Convolutional Networks (DCN) using the best parameters and criteria to accurately produce aerial imagery semantic segmentation of natural disaster-affected areas. This study utilizes two models: U-Net and Pyramid Scene Parsing Network (PSPNet). Extensive study results show that the Grid Search algorithm can improve the performance of the two models used, whereas previous research has not used the Grid Search algorithm to improve performance in aerial imagery segmentation of natural disaster-affected areas. The Grid Search algorithm performs parameter tuning on DCN, data augmentation criteria tuning, and dataset criteria tuning for pre-training. The most optimal DCN model is shown by PSPNet (152) (bpc), using the best parameters and criteria, with a mean Intersection over Union (mIoU) of 83.34%, a significant mIoU increase of 43.09% compared to using only the default parameters and criteria (baselines). The validation results using the k-fold cross-validation method on the most optimal DCN model produced an average accuracy of 99.04%. PSPNet(152) (bpc) can detect and identify various objects with irregular shapes and sizes, can detect and identify various important objects affected by natural disasters such as flooded buildings and roads, and can detect and identify objects with small shapes such as vehicles and pools, which are the most challenging task for semantic segmentation network models. This study also shows that increasing the network layers in the PSPNet-(18, 34, 50, 101, 152) model, which uses the best parameters and criteria, improves the model's performance. The results of this study indicate the need to utilize a special dataset from aerial imagery originating from the Unmanned Aerial Vehicle (UAV) during the pre-training stage for transfer learning to improve DCN performance for further research.
Prediction of Cross-Platform and Native Apps Technology Opportunities for Beginner Developers Using C 4.5 and Naive Bayes Algorithms
Authors: Gunawan Wawan , Wiradiputra Raychal Ababil , Puspita Sari Anggi , Prayama Deddy , Rikardo Nainggolan Esron
Published: December 2023

The competition between native and cross-platform app development makes application development simpler, safer, and more scalable. However, this makes developers must have sufficient fundamentals and the industry must conduct good research to shorten development time and minimize expenses. In order to solve these problems, this study made a prediction that discusses the technology that has a chance to survive in the industry so as not to be left behind in technology. The use of NaÃ¯ve Bayes and C 4.5 algorithms into a dataset that has 9 programming languages related to mobile app development. Results obtained in This research is Dart as a programming language that supports cross-platform frameworks and Kotlin as a programming language that supports native apps frameworks is a technology that will have the opportunity in the future with an accuracy level above 90% with NaÃ¯ve Bayes and C 4.5 algorithms. These results are obtained by considering the results of testing an algorithm model using MAPE, consistent dataset sharing, and careful data processing. Expected this researchÂ Can help entry-level developers learn and deepen the fundamentals of technology and can add knowledge to the industry in choosing a technology.
A Systematic Literature Review of Design Thinking Approach for User Interface Design
Authors: Zamakhsyari Fardan , Fatwanto Agung
Published: December 2023

User interface is anÂ influential element in software applications.Â A well-designed user interface will potentially increase the usability of software applications.Â Therefore, user interface designers should have a deliberate thought when considering which approach and method they would implement for designing user interface.Â Design thinking is currentlyÂ one of the widely followed approach in user interface design practices. Hence, this study was aimed to explore research trend andÂ currentÂ practices of design thinking approach for user interface design. This study was conducted by employing a systematic literature review following Kitchenham method. This study found 39 articlesÂ that were deemed relevant to the design thinking approach. In general, our studyÂ found five common stages broadly mentioned in the articles i.e.empathize, define, ideate, prototype, and test.Â The most widely practiced method during each of those five stages is interview, user persona, brainstorming, user interface, and usability testing. However, there is no consensus on what kind of stage(s) and which particular method(s) that should be employed when following design thinking approach for user interface design. Therefore, it will depend on the decision of the designer in choosing which stage(s) and theirÂ relatedmethod(s) that will be employed.
Optimizing Pigeon-Inspired Algorithm to Enhance Intrusion Detection System Performance Internet of Things Environments
Authors: Ratnawati Fajar , Siswanto Apri , Jaroji Jaroji , Effendy Akmar , Tedyyana Agus
Published: December 2023

Intrusion Detection Systems (IDS) are crucial in maintaining network security and safeguarding sensitive information against external and internal threats. This study proposes a novel approach by utilizing a Pigeon-Inspired Algorithm optimized with the Hyperbolic Tangent Function (Tanh) function to enhance the performance of IDS in threat detection specifically tailored for Internet of Things (IoT) environments. We aim to create a more robust solution for optimizing intrusion detection systems by integrating the efficient and effective Tanh function into the Pigeon-Inspired Algorithm. The proposed method is evaluated on three widely-used datasets in the field of IDS: NSL-KDD, CICIDS2017, and CSE-CIC-IDS2018. Experimental results demonstrate that integrating the Tanh function into the Pigeon-Inspired Algorithm significantly improves the performance of the intrusion detection system. Our method achieves higher accuracy, True Positive Rate (TPR), and F1-score while reducing the False Positive Rate (FPR) compared to traditional Pigeon-Inspired Algorithms and several other optimization algorithms. The Pigeon-Inspired Algorithm optimized with the Tanh function offers an efficient and effective solution for enhancing intrusion detection system performance, specifically in Internet of Things environments. This method holds great potential for application in diverse network environments, bolstering information security and safeguarding systems from evolving cybersecurity threats. By extending the applicability and effectiveness of the Pigeon-Inspired Algorithm optimized with the Tanh function, researchers can contribute to developing more comprehensive and robust security solutions, addressing the ever-evolving landscape of IoT-based cybersecurity threats.
Stock Price Time Series Data Forecasting Using the Light Gradient Boosting Machine (LightGBM) Model
Authors: Hartanto Anggit Dwi , Nur Kholik Yanuar , Pristyanto Yoga
Published: December 2023

In the world of stock investment, one of the things that commonly happens is stock price fluctuations or the ups and downs of stock prices. As a result of these fluctuations, many novice investors are afraid to play stocks. However, on the other hand, stocks are a type of investment that can be relied upon during disasters or economic turmoil, such as in 2019, namely the Covid-19 pandemic. For stock price fluctuations to be estimated by investors, it is necessary to carry out a forecasting activity. This study builds stock price forecasting using the Light Gradient Boosting Machine (LightGBM) algorithm, which has high accuracy and efficiency. To forecast stock price time series, the model used is the LightGBM ensemble. At the same time, they were optimizing the determination of hyperparameters using Grid Search Cross Validation (GSCV). This study will also compare the LGBM algorithm with other algorithms to see which model is optimal in forecasting price stock data. In this study, the test used the RMSE metric by comparing the original data (testing data) with the predicted results. The experimental results show that the LightGBM model can compete with and outperform boosting-based forecasting models like XGBoost, AdaBoost, and CatBoost. In comparing forecasting models, the same dataset is used so that the results are accurate, and the comparisons are equivalent. In future research, paying attention to the data during pre-processing is necessary because it has many outliers. In addition, it is necessary to include exogenous variables and external variables, which are determined to involveÂ manyÂ parties.
Grouping of Image Patterns Using Inceptionv3 For Face Shape Classification
Authors: Hidayat Tonny , Astuti Ika Asti , Yaqin Ainul , Tjilen Alexander Phuk , Arifianto Teguh
Published: December 2023

The human face is an extraordinary part where nearly everybody is not quite the same as each other. One perspective that should be visible plainly is the shape. Face shape grouping can be used for amusement, security, or excellence. One technique that can be utilized in picture grouping is the InceptionV3 model. InceptionV3 is the structure of the Convolutional Neural Network (CNN) created by Google, which can tackle picture examination and item discovery issues. This engineering is utilized to order face shapes into five classes: Round, Heart, Square, Oblong, and Oval. At that point, the Google Pictures dataset goes through the pre-handling stage, and the Shrewd Edge Identifier is applied to each picture. Hair turns into a commotion. Consider recognizing the side of the face because it does not make any difference what the hairdo resembles. What is important is the side of the face. When there is a dataset of elongated class and heart class with a comparable hairdo, InceptionV3 will identify the component and expect the two pieces of information to come from a similar class. The exchange learning strategy is done in preparation for the last Layer of ImageNet's InceptionV3 model. This strategy puts the high precision level with an exactness of 93% preparation and testing between 88% - 98%. InceptionV3 could arrange upwards of 692 from 747 datasets or around 92.65%. The most reduced information class is the heart class, where out of 150 information, InceptionV3 can characterize upwards of 130 information.
Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
Authors: Agastya I Made Artha , Aminuddin Afrig
Published: December 2023

Numerous research studies are currently examining various measures to control the transmission of COVID-19. One essential task in this regard is predicting or forecasting the number of infected individuals. This predictive capability is crucial for governments to allocate resources effectively. However, the most effective approach to handling time series problems between the parametric and non-parametric methods is unclear. The parametric method utilizes a fixed number of parameters to calculate the value. On the other hand, the non-parametric method increases its parameters along with the number of observations. To address the issue, we conducted a study comparing parametric and non-parametric models for time series forecasting, specifically using Malaysia's daily confirmed COVID-19 cases from 18/3/2020 to 30/12/2020. Since there have been limited comparisons of these models in time series forecasting, we believe our study is beneficial. We considered various models, including persistence, autoregression, ARIMA, SARIMA, single, double, and triple exponential smoothing, multi-linear regression, support vector regression, artificial neural networks (ANN), K-nearest neighbor regression, decision trees regression, random forest regression, and Gaussian processes regression models. Our study revealed significant characteristics of these methods, and we found that exponential smoothing methods were the most effective in capturing the level and trend of the data compared to other methods. Additionally, ANN had the least forecasting error among the machine learning methods. In conclusion, non-parametric methods are not suitable for predicting daily cases of Covid-19 in Malaysia. Enhancing the parametric methods will be preferable in the future.
Design of Prediction Model using Data Mining for Segmentation and Classification Customer Churn in E-Commerce Mall in Mall
Authors: Huda Ilham , Achmad Suhendra Agus , Arif Bijaksana Moch
Published: December 2023

The classification of churn is driven by the potential risks e-commerce companies face, such as losing customers who discontinue their service usage or churn. Marketing specialists have shifted their efforts from acquiring new customers to retaining existing ones in order to mitigate customer churn. Predictive models are created using data mining techniques to identify customer churn patterns. This study proposes a data mining model aimed at predicting customer behavior, with the processed results utilized as suggestions for improvements and company strategies in customer retention through segmentation and classification. Segmentation and classification involve several variables: Session, Interaction with Application, Actions taken during the interaction, purchasing, claim, and discount. This study employs a clustering technique based on the Recency, Frequency, and Monetary (RFM) model, which considers factors such as the time since the last visit, the number of visits, and the total amount spent by the customer. The classification algorithm model was evaluated by comparing three classification algorithms: decision tree and Support Vector Machine (SVM). The decision tree algorithm had the highest accuracy, achieving an impressive 87% accuracy rate in customer classification. Factors influencing customer churn include purchasing behavior, session activity, claim feature utilization, adding products to cart, and discounts. Improving stock management is crucial to prevent stock shortages, likely to cause churn. Additional measures like sending emails/notifications and offering vouchers/loyalty points can be implemented for customers who added products to their carts but didn't complete the purchase, with a focus on popular products.
Edukasi kesehatan gigi dalam meningkatkan keterampilan menyikat gigi murid RA Nurul Hidayah Kota Jambi
Authors: Nurmawi Yesi , Marlia Linda , Sukarsih Sukarsih
Published: December 2023

Riskesdas 2018 mencatat proporsi masalah gigi dan mulut sebesar 57,6% dan yang mendapatkan pelayanan dari tenaga medis gigi sebesar 10,2%. Adapun proporsi perilaku menyikat gigi dengan benar sebesar 2,8%. Masalah kesehatan gigi dan mulut merupakan hal yang dapat dihindari dengan melakukan perawatan sejak dini. Permasalahannya adalah kurang tepat waktu, teknik dan frekuensi cara menyikat gigi  murid RA Nurul Hidayah Kota Jambi, disebabkan oleh  kurangnya pengetahuan dan  keterampilan anak dalam  tindakan pemeliharaan kesehatan gigi dan mulut seperti menyikat gigi yang baik dan benar. Solusi yang akan digunakan  untuk mengatasi masalah tersebut adalah edukasi pemeliharaan kesehatan gigi dan mulut pada murid RA Nurul Hidayah kota Jambi dengan media panthom gigi. Pengabdian ini dilaksanakan dengan metode Program Kemitraan Masyarakat (PKM) melalui penyuluhan, dan demonstrasi pada Murid RA Nurul Hidayah Kota Jambi tentang cara menyikat gigi yang baik dan benar. Hasil PKM ini menemukan ada peningkatan keterampilan responden dalam menyikat gigi di RA Nurul Hidayah Kota Jambi.
Study of antioxidants from herbal plant extracts in vitro
Authors: HP Eka Susanti , Elisa Novi , Elisa Novi - , Primananda Arina Zulfah , Advistasari Yustisia Dian
Published: December 2023

Abstract

 

Background : Antioxidants are substances that can prevent the formation of free radical reactions, people in Indonesia use a lot of natural ingredients as traditional medicine, one of which as antioxidants for free radical handling . Free radicals are compounds or molecules that contain one or more unpaired electrons in its outer orbitals. The presence of unpaired electrons causes these compounds to be very reactive looking for partners, by attacking and binding electrons around them so that they can trigger disease.

Destination : The purpose of this study was to discuss the antioxidant activity of wormwood, neem, cinnamon, brotowali plants in vitro.

Method : The method that can be used in antioxidant test research was the DPPH method in vitro through effective concentration (EC50), identification of phytochemical screening of each extract, and total flavonoid test.

Results : The results of the study obtained phytochemical screening of wormwood, neem, cinnamon, brotowali extracts contained secondary metabolites in the form of flavonoids, tannins, saponins, steroids and triterpenoids which have a role as antioxidanttest. Total flavonoid test of wormwood extract had the largest total flavonoid content (110.353 Â± 0.802). The antioxidant test results of each cinnamon extract was 75 ppm, neem extract was 81 ppm, wormwood extract was 479 ppm, brotowali extract was 304 ppm. These results indicated that the effective antioxidant extract was cinnamon extract.
The factors that influence nurse anxiety in handling COVID-19 patients
Authors: Suandika Made , - Nasihhudin - , Setiawan Debi Ari , Wibowo Tophan Heri , Sumarni Tri , Astuti Dwi , Muti Refa Teja , Ulfah Mariah
Published: December 2023

Background : Health workers are a group with a very high risk of exposure during the treatment process of covid-19 patients. Many nursing staff have mental health disorders, as they not only bear the overload, high risk of infection, and fatigue. Many factors are the cause of anxiety experienced by health workers during the Covid-19 pandemic such as age, gender, education, employment, and marital status. The purpose of the study was to find out the factors that influence nurse anxiety in handling covid-19.

Method : Design survey research with correlational study type using cross sectional time approach. The samples in this study were all nurses who treated covid-19 patients at who were 53 nurses with total sampling techniques.

Results : Research instrument using Zung Self Rating Anxiety Scale questionnaire with data analysis using spearman-rank. The results showed nurse anxiety in handling Covid-19 mostly in the mild category (60.4%).

Conclusion : There is a relationship between age(p value: 0,0001) and working period(p value: 0,002) factors with nurse anxiety in handling Covid-19 (p value < 0.05). There is no relationship of gender factors, education, and marital status with nurse anxiety in handling Covid-19 (p value > 0.05).
Resources quantity and nurse welfare in the quality of nursing services
Authors: Sari Rian Maylina , Buhari Basok , Octavia Dian
Published: December 2023

Background: Nursing management is a group of nurse managers who manage nursesâ€™ organization and efforts, which eventually becomes a nursing process. Nurse resource development needs to be done to maintain the quality of nursing in providing nursing care to patients. One of the reasons for the low ability of quality of nursing services is the low level of well-being. The care received is not by rights, so it can affect a personâ€™s performance, disrupting the quality of nursing services. This study aims to determine the number of resources and the level of welfare of nurses in the quality of nursing services. Methods: this research is a quantitative study with a cross-sectional data analysis method using the Chi-Square statistical test within the 5% significance limit, the total sampling technique with a sample size of 81 nurses. The data was collected with a questionnaire regarding the resources and welfare of nurses in the quality of nursing services. Result: statistical test results obtained v-value 0.007 <0.05 indicating a relationship between human resources and the quality of nursing services, 0.014 <0.05, which indicates a relationship between the welfare of nurses and the quality of nursing services. The findings related to the relationship between the number of nursing human resources and the quality of nursing services show that 55.8% of the quality of service is not good because the number of human resources is not good or does not meet needs, while the welfare of nurses on the quality of nursing services is 56.8% which is not good. Conclusion: the resources and well-being of nurses have a relationship with the quality of nursing services. Adequate resources and well-being can improve the quality of nursing services
Health and safe behavior of traditional market traders in minimizing the risk of Covid-19 in Pontianak
Authors: Trisnawati Elly , Sukemi Maria Yolan
Published: December 2023

Background : Implementation of health protocols must pay attention to the point of transmission of Covid-19. The market is an active place every day. This study measures the implementation of healthy and safe behavior by market traders as assessed by 2 main indicators, namely implementation of health protocols and participation in the Covid-19 vaccination. The results of initial observations made by researchers showed that as many as 30% of market traders wore masks during their activities in the market, most traders did not apply physical distancing. As many as 45% of traders who have just joined the vaccination program. This study aims to identify factors related to the healthy and safe behavior of traditional market traders in Pontianak.

Method : The design of this research is analytic observational with cross sectional approach. The sample in this study were 105 traditional market traders in 7 selected markets. Samples were taken through accidental sampling technique. Research data was collected using the KoboCollect application. Research outputs will be published in Sinta accredited journals as a form of dissemination of research results.

Results : The data shows that the factors associated with the healthy and safe behavior of traditional market traders are knowledge, attitude, availability of hand washing facilities, workplace social support, availability of educational media in the market. While the factors of age, gender, education, income and family support are not factors related to the healthy and safe behavior of traditional market traders in Pontianak.

Conclusion : It is hoped that the results of this research can be additional support for the policy of implementing health protocols in the market and increasing awareness of market traders in increasing healthy and safe behavior while working and following complete vaccinations because Covid-19 has not completely ended.
The effectiveness of the implementation of a construction safety management system for the maturity safety culture in construction SOES
Authors: Prasetyo Bimo , Lestari Fatma
Published: December 2023

The construction industry is dangerous, with a high injury rate and death rate compared to other sectors. In the last decade, construction accidents in Indonesia have increased dramatically. H. W. Heinrich in his book The Accident Prevention reveals that 80% of work accidents are caused by unsafe actions and unsafe conditions. Construction safety is the safety of people who work (safe for people) in construction projects, and community safety (safe for the public). Therefore, the work safety system is a significant concern in suppressing the high number of work accidents in the construction industry.

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. The scoping review framework was developed using PEO (Population, Exposure and Outcome). The population in question is construction workers in Indonesia, the exposure is Occupational Accident Safety, and the Outcome is the exposure and application of this work accident safety system which is the basis for researchers to determine keywords when conducting a literature

Understanding hazard risks and implementing a good safety management system can change the safety culture in the company. Changes in safety culture that are getting better create a sense of security for workers and can increase work productivity. In the end, good business results will be obtained for the company.

 

Keywords: individual characteristic; lactation support; lactation facilities; working mother; workplace
Analysis of the sanitation hygiene conditions of DAMIU handlers in Bantan District, Bengkalis Regency
Authors: Mianna Rika , Ismawi Ismawi , Randika Rendi
Published: December 2023

Background: Clean water is one of the vital human needs that must be considered hygiene sanitation. At this time most people use refilled water to meet their daily needs, if sanitation is not guaranteed, it can cause disease. One of the sanitary hygiene that needs to be considered at the Refill Drinking Water Depot (DAMIU) is the sanitation hygiene of the workers. This study aims to determine the sanitary hygiene conditions of DAMIU workers in Bantan District, Bengkalis Regency, where based on the results of the preliminary study there are still many DAMIU workers who ignore their sanitary hygiene.

Method: This research is a descriptive study to describe the sanitation hygiene conditions of DAMIU workers. The data in this study were obtained by direct observation and interviews with 12 DAMIU.

Results: The results showed that all workers were in good health and free from infectious diseases and were not carriers of disease germs, all workers did not use clean and tidy work clothes, 92 percent did not have their health checked regularly (at least once a year), 75 percent did not wash hands with soap and running water every time they serve consumers, 58 percent each does not have a training certificate and have hygienic behavior. It is hoped that the relevant agencies can follow up on this situation so that people can consume healthy water

Conclusion: Based on the results of the study it can be concluded that DAMIU handlers are in good health and free from infectious diseases, however, they still behave unhygienic, especially in using clean and tidy work clothes, do not have regular health checks and do not wash their hands with soap every time they serve consumers.
Factors associated with work accidents in fishermen
Authors: Entianopa Entianopa , Sugiarto Sugiarto , Asri Yusfrini Desilva
Published: December 2023

Background Fishermen's work accidents are a problem of work safety in the world, including in Indonesia. Sometimes the weather is extreme, increasing the risk of accidents and death for fishermen. (Objective) The research objective was to determine the relationship between knowledge, attitudes, PPE, and machine availability tools for fishermen in Tanah Choose Village, Banyuasin District, Banyuasin Regency in 2022.

Method: This research is a quantitative study with a cross-sectional design. This research method is interview and observation. The results of the survey were analyzed invariably and bivariately using the Chi-Square statistical test.

Results 56.2% of respondents experienced work accidents, 20.8% of respondents had good knowledge, 52.1% of respondents with a positive attitude, 50% of respondents used complete PPE, and 33.3% of respondents used machine safety devices. Bivariant results show that there is no relationship between knowledge and work accidents (value = 0.614), there is no relationship between attitude and work accidents (p-value = 0.687), there is no relationship between PPE and work accidents (p-value = 1.000), there is no relationship between the availability of machine safety devices and work accidents (p-value = 1,000)

Conclusion: It is hoped that fishermen will improve their attitude, use complete PPE when working, and use safety devices on every work machine and equipment.
The association between vitamin D intake and sleep quality index within the 17-35 year age group
Authors: Sidharta Veronika Maria , Anggraeni Patricia , Wahyuningsih Komang Ardi , Mariani Mariani
Published: December 2023

Background : Vitamin D deficiency is a common health problem in the world, even in tropical countries such as Indonesia. The Lack of vitamin D intake from food or supplements can increase the risk of having vitamin D deficiency. The association between vitamin D and sleep quality has been proven by the discovery of vitamin D receptors in the brain and brainstem, which are the sleep centers of the body. Vitamin D also takes part in the process of light transduction and melatonin production, that affects circadian rhythm and sleep quality. Poor sleep quality often causes health problems which will affect the quality of life, work productivity, and increases the risk of death. The purpose of this study is to determine the association between vitamin D intake and sleep quality index within the 17-35 year age group.Method : This study is an observational analytic study using a cross-sectional approach. Data was collected using consecutive sampling methods. Vitamin D intake was measured by the Vitamin D Estimation Only - Food Frequency Questionnaire (VIDEO-FFQ) and sleep quality index was measured by the Pittsburgh Sleep Quality Index (PSQI). Data analysis is proceeded using the chi-square method.Results : The total of respondents were 119. 68,1% of the respondents had inadequate vitamin D intake and 80.4% of the respondents had poor sleep quality index. The analysis shows that there was no significant association between vitamin D intake and sleep quality index (p value = 0.325). Conclusion : Most of the respondents had inadequate vitamin intake and poor sleep quality index. There was no significant association between vitamin D intake and sleep quality index within the 17-35 year age group.

Key words: Vitamin D intake, food and supplement, sleep quality index, 17-35 year age group
The evaluation of patient safety incident reporting at the Yogyakarta Gondomanan Health Center using the Health Matrix Network
Authors: Syam Nur Syarainingsih , Yanuardi Eko , Hastuti Siti Kurnia Widi
Published: December 2023

Background: Based on patient safety incident data, the Ministry of Health, it is known that incident cases that occurred in the Special Region of Yogyakarta Province were 13.8%. Based on Patient safetyâ€™s policy in Indonesia namely PMK No. 11 of 2017 concerning patient safety states that every health service facility is required to have an information system that is used to improve patient safety, including the health center. The purpose of this study was to evaluate the use of the patient safety incident information system at the Gondomanan Health Center by using the Health Matrix Networks.

Methode: This study uses a qualitative descriptive method with a case study design. Data collection used interview guidelines with 5 informants, namely the head of the health center, the patient safety team (1 doctor, 1 midwife, 1 nurse) and the dental polyclinic service coordinator (1 poly nurse). The sampling technique used purposive sampling.

Result: There are 6 Health Matrix Network (HMN) tools that are used to measure the evaluation of patient safety information systems, namely information system resources, information system indicators, data sources, data management, CIS information products, and dissemination and use of SIK information. In terms of resource attributes or variables (policies, human resources, facilities and infrastructure and finance), health indicators, data sources, information products and the use of IKP reporting information are in accordance with the patient safety incident reporting guideline policy, and PMK No. 11 of 2017. Meanwhile, the attributes of data management and information products in the patient safety reporting information system have not been implemented optimally.

Conclusion: The information system for reporting patient safety incidents at the Gondomanan Health Center requires improvement in procuring special SOPs for internal reporting of patient safety incidents which are part of the data management attributes.
Optimization and Formulation of Fenofibrate Transfersome Using The Thin Layer Hydration Method
Authors: Putri Sukma Oktafiani , Iswandi Iswandi , Kuncahyo Ilham
Published: December 2023

Abstract

Background: Fenofibrate is a lipophilic drug that is used to treat hypercholesterolemia and hypertriglyceridemia in patients.. The low solubility of fenofibrate can be improved by creating a phenofibrate transfersome delivery system. The objective of this research was to determine the effect of phosphatidylcholine 90G, Tween 80, with sonication on fenofibrate transfersomesand to obtain the optimum composition of phosphatidylcholine 90G, tween 80, with sonication on critical parameters including particle size, zeta potential, absorption efficiency. For formula optimization, the factorial design method was applied. Phosphatidylcholine 90G composition, tween 80, with sonication were used as independent variables, with particle size, zeta potential, and sorption effectiveness as dependent variables.

Method: The optimization was carried out with critical parameters of the fenofibrate transfersomes tested including particle size, zeta potential, and adsorption efficiency. The critical parameter test data were analyzed using factorial design.

Result: The results showed that there was an effect of phosphatidylcholine 90G, tween 80, and sonication on fenofibrate transfersomes provide effect by including particle size, zeta potential, and sorption efficiency.

Conclusion: The optimum proportion of phosphatidylcholine 90G was 95%, tween 80 was 5%, and sonication was 33,39 time. The transfersome ability of fenofibrate was good in the optimum formula in the particle size test was 23,675 nm and zeta potential 52,231 mv and the entrapment efficiency was 96,915 %.

 

Keyword : Fenofibrat, Transfersome, phospatidicoline 90G, thin film  layer, Factorial Design.
Caring behaviour and quality of life patients with hemodialysis at Baiturrahim Hospital Jambi
Authors: Sari Mila Triana , Putri Miko Eka , Fajri Jufri Al , Daryanto Daryanto , Listautin Listautin , Fahkrunisa Lulu
Published: December 2023

Background: Hemodialysis is one of therapy in chronic renal failure. Itâ€™s changed aspects of vitality, physical functional, and psychological and so that affected to quality of life. How caring behaviour were correlated to quality of life was unclear. This reasearch to analyse correlation between caring behaviour to quality of life of patients  with chronich renal failure.

Method: This research was a quantitative design with Cross Sectional approached. As sums  93 of 122 of subjects has recruited as sampling purpossive. Its conducts on November 2022 to July 2023 at Baiturrahim Hospital, Jambi. Data collected by means Caring Dimension Inventory-25 and KDQOL. Data were analysed and presented as univariate and bivariate with  Sperman Rho test at significance level < 0,05.

Results: As much of  62,4% subjects reports were good caring bahaviour, and 59,1% subjects were good quality of life. Nurse caring behaviour were correlated with quality of life of patients with hemodialysis. This study implicated that caring behaviour were important attitudes in nusing care for patients undertook hemodialysis.

Conclusion: Caring behaviour Nurse were needed to improve the patients  quality of life. Nurse who taking care of patients supposed to show how to practice Caring behaviour.
Relationship between Environmental Quality, Hygiene, Food Sanitation, and Food Handling Factors with Escherichia coli Germ Rates at Snack Food Centers in Jambi City
Authors: Hadiyati Titi , Suryono Suryono , Guspianto Guspianto
Published: December 2023

Background : Food safety is a public need, safe food will protect and prevent disease and health problems. Environment and food need attention if you want to live healthy and get enough nutrition. Hygiene sanitation is an effort to control the factors of people, places, equipment and food. In producing ready-to-eat food that is safe and healthy, the principles of sanitation hygiene must be implemented. Food handlers are people who have direct contact with food. The purpose of this study was to analyze the relationship between environmental quality, sanitation hygiene, handler behavior and knowledge of food handlers with the number of Escherichia coli bacteria.

Method : The research design is a quantitative method using laboratory analysis with a cross sectional research design.

Results : Research shows that there is a significant relationship between environmental quality, food sanitation hygiene, food handling behavior and knowledge of food handlers with the number of Escherichia coli germs in the Jajanan Food Center, Jambi City.

Conclusion : There is a significant relationship between environmental quality, food sanitation hygiene, food handling behavior and knowledge of food handlers with the number of Escherichia coli bacteria.
A Healthy Dental Nutrition Card as A Parenting Pattern to Prevent Stunting in Toddlers
Authors: Junaidi Junaidi , Nurmawi Yesi , Surayah Surayah , Estuti Wiwit
Published: December 2023

Background: The healthy teeth nutrition card (Kartu Nutrisi Gigi Sehat) is a development model for parenting patterns to prevent stunting in toddlers. These cards were developed for young children and are efficient for children and health practitioners to carry and play with. It is hoped that parenting patterns in the form of healthy dental nutrition can prevent caries which affects food intake and nutritional status. The aim of the research is to develop a healthy dental nutrition card as a parenting pattern to prevent stunting in toddlers.

Method: This research is Research and Development (R&D), carried out at Posyandu Widuri VI, Paal Lima Village, Jambi City. Media and material validation involved 6 experts. The research subjects were 16 toddlers, 4 cadres, 4 community health center staff, 2 PKK people, and 16 mothers of toddlers. The data collected using questionnaires.  

Results: Healthy dental nutrition cards are very eligible for use to promote dental health as a parenting pattern to prevent stunting in toddlers.

Conclusion: It is recommended that future research test the effectiveness of healthy dental nutrition cards
A Clinical Case of Out-of-Hospital Cardiac Arrest and Post-Resuscitation Disease in a Patient with Acute Myocardial Infarction
Authors: Mazur Andriy P. , Novikova Elina I. , Kuzminova Natalia O.
Published: December 2023

Background. Prediction of survival in adult patients after out-of-hospital cardiopulmonary resuscitation remains a difficult issue. This clinical case describes our experience of managing a patient after an out-of-hospital cardiac arrest due to an acute coronary syndrome with the development of postanoxic coma, with subsequent successful restoration of neurological function.

Case description. Patient K., a 48-year-old man, was delivered unconscious (Glasgow Coma Scale score 7) without spontaneous breathing. During transportation to the hospital, ventricular fibrillation occurred, cardiopulmonary resuscitation lasting 1 hour was performed with restoration of sinus rhythm. Diagnosis: acute coronary syndrome with ST segment elevation; cardiogenic shock; condition after cardiopulmonary resuscitation. Stenting of the occluded circumflex artery was performed. During the patient’s stay in the intensive care unit (ICU), hemodynamics and laboratory tests were carefully monitored and no significant systemic disorders were detected. The patient stayed in the ICU for 19 days. At the time of discharge, the general condition was relatively satisfactory, Glasgow Coma Scale score was 14-15, with minimal neurological deficit. The patient was transferred to a neurological department for further rehabilitation.

Results. Determining the probability of either good or bad outcome in comatose patients after cardiac arrest is one of the most important steps in treatment after stabilization of the heart activity. Recent data confirm the utility of electroencephalography (EEG) monitoring for prognosis. The pattern of response to sedative drugs may provide prognostic information. In this clinical case, when EEG was recorded during sedation, preservation of the response to stimuli was registered, and 48 hours after disconnection, patterns corresponding to awakening were registered, which was considered as a positive prognostic sign.

Conclusions. In adult patients after cardiopulmonary resuscitation with postanoxic coma, clinical, neurophysiological and radiological tests predict poor neurologic outcome within the first week after cardiac arrest with a certain percentage of false positive rate. However, most predictors have low sensitivity and specificity. Accurate prognosing requires a comprehensive approach. Neurological examination remains the gold standard, but its result is affected by the effect of sedative drugs used in critical patients in the ICU. The use of EEG increases the accuracy of the prognosing.