bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Weakness and Strength of Existing Takaful Model in Oil & Gas Sector
Authors: Shafieza Sazali Noor Emmiey , Ghazali Puspa Liza , Awang Zainuddin 
Published: August 2019

Abstract
This study is focusing on improvement a new Group Personal Accident (GPA) model by study the weakness and strength of existing model. Judging from the gap in the existing Group Personal Accident in mostly oil & gas Company, essentially this research was conducted with a focus scope on Oil and Gas Company in Malaysia for improvement Service Quality of Takaful Company and more beneficial on Safety at workplace to employee.
A Hyperchaotic System with Three Quadratic Nonlinearities, its Dynamical Analysis and Circuit Realization
Authors: Lien C-H , Vaidyanathan S , Zhang S , Sambas A , Mujiarto  , Subiyanto  
Published: August 2019

Abstract
A new four-dimensional hyperchaotic system with three quadratic nonlinearities is proposed in this paper. The dynamical properties of the new hyperchaotic system are explored in terms of phase portraits, Lyapunov exponents, Kaplan-Yorke dimension, dissipativity, etc. Also, a detailed dynamical analysis of the new hyperchaotic system has been carried out with bifurcation diagram and Lyapunov exponents. As an engineering application, an electronic circuit realization of the new hyperchaotic system is designed via MultiSIM to confirm the feasibility of the theoretical hyperchaotic model.
Exploratory Testing for the Internet of Things in Smart Fertilizer Hydroponic System using Hydropo
Authors: Hamidin D , Fauzan M N , Mulyati E , Suryana A , Ilyas  , Muhammad E K 
Published: August 2019

Abstract
Internet of things “Hydropo” was designed for automatic fertilizing in a hydroponic system. It is not only for making sure of working both hardware and software but also the implementation of such products. Therefore, testing is needed for proofing that “Hydropo” can be implemented. Exploratory Testing has already done in order to test the usability and validity of the smart tool in producing vegetable in the hydroponic production system. The result of the research was the Internet of Things “Hydropo” may not still be implemented yet for an outdoor environment. Redesigning “Hydropo” for outdoor implementation is needed including made it more adaptive to temperature and air controlling.
Grounded Theory Methodology in Architectural Research
Authors: Lianto F 
Published: August 2019

Abstract
The grounded theory method expresses the value of daily life demonstrated by architectural composition. A spatial analysis of a phenomenon in an issue may create a new substantive theory/concept. By elaborating literature, grounded theory methodology emphasizes human behaviour patterns. It is best when combined with a comprehensive observation, in depth interview and architectural drawing. While its structural analysis exposes social phenomena, an investigation may reveal the problem, gathering daily impressions and feelings towards architecture. The operational step are; 1. Data collection: 1) Observation, drawing and mapping, 2) In depth interviews, transcripts and memos; 2. Data analysis: 1) Open coding, 2) Axial coding, 3) Selective coding, 4) Constant comparison analysis, 5) Core category, 6) Negative case analysis, 7) Theoretical note (Theoretical coding), 8) Theoretical sensitivity, 9) Theoretical sampling, 10) Theoretical saturation, 11) Validity, 12) Theoretical memo (“Memoing”), 13) Hypothesis; before finally formulating a new theory/concept.
The Effect of Land Surface Temperature and Land Use on Energy System Development in Gorontalo City
Authors: Arif N , Khasanah A N , Jaya R , Gozan M , Hendrawan B 
Published: August 2019

Abstract
Land use change is one of the factors affecting urban development including urban energy needs. This study analysis the effect of land use and surface temperature on energy system development of Gorontalo city. Gorontalo has a very high solar energy potential but has not been utilized optimally. Land Surface Temperature (LST) mapping is the first step to identify the potential of solar anergy for energy system development in Gorontalo City. Remote sensing technology and geographic information systems are helpful in mapping the spatial distribution of each parameter used. In this research the data used is Landsat 8 for mapping land cover/land use, green area and LST. The results showed that in the dry season the highest surface temperature was in the building area, and the lowest temperature was in the vegetation area. Land use in city of Gorontalo is dominated by high density vegetation (VKT) of 36% of the total area, while built-up area has 26% of the total area. LST was dominant in the wet season of 30-40 °C i.e 50.51% of the area while in dry season wasdominant at 40-50 °C covering 42%. The highest temperature in the city of Gorontalo in both dry and wet season is distributed in Pulubala, Limba U1, and Biawao. These three regions can be a recommendation for the development and utilization of solar energy as an alternative energy source. This research provides insight into land surface temperature and become a recommendation in urban planning and energy policy.
Semangka is an Islamic Study Information System Application as a Real-Time Information Sharing Media for Muslims
Authors: Soleh Oleh , Wuryani Ruruh , Mahmudi Tony Hari 
Published: August 2019

Abstract
SEMANGKA meaning is Semangat Kajian. Frequent delays in the acceptance of religious studies information, make the lack of interest to follow. The ease of receiving religious studies information is one of the factors to arouse the interest of pilgrims to follow religious studies. one of which is by creating an application that can be designed with the support of Android operating system platform. On this occasion the author wants to develop an application that aims to share information about the study of Islamic religion. Because currently emerging activities of Islamic religious studies and almost every day in various places there is a study of Islam. This Islamic study was initiated by various associations or religious communities. With this application every community who want to hold Islamic religious studies activities can upload the information into this application so that in the end every person or congregation can see all the information in one study application. The application not only covers the study information but added with the sholat schedule, the Islamic community information, streaming video from the study and connecting one pilgrim with other pilgrims. The feature that is not less important is the existence of a map to facilitate the route to the place of study activity. In the design of this application using Method Business Canvas (BMC) and also used Unified Modeling Language (UML) as a system design tools created. And in designing using PHP programming language, Sublime text to edit PHP script, database server that used MySQL and website application 2 apk developer as application that convert web application to android based application.
The Effect of Gadget on Children’s Social Capability
Authors: Setiawati Eka , Solihatulmillah Elih , Cahyono Habib , Dewi A 
Published: August 2019

Abstract
Brauner & Stephens argued that around 9.5% to 14.2% of early childhood children have emotional social problems that have a negative impact on the development and readiness of their schools due to children’s habits in using gadgets. The purpose of this study was to identify the relationship between the use of gadgets for children’s social emotional development in PGRI 2 Rangkasbitung Kindergarten. This research implemented quantitative research approach. This study uses a questionnaire or questionnaire sheet in collecting data, with a total sample of 33 respondents. The results of this study indicate that the majority of children use gadgets with a duration of> 60 minutes per day which is around 60.61%, the type of gadget used in the form of smartphones / mobile phones is 84.85%, and applications that are often used are games (66.67% ) and games played in the form of educational games (60.61%). Based on the results of the study there were 60.61% or as many as 20 children have normal / good social emotional development, this is because the majority of children in PGRI 2 Rangkasbitung kindergarten are more utilizing the sophistication of gadgets towards more positive ones such as knowing numbers, getting to know animals, colors, and to communicate while far apart. It is also related to the characteristics of respondents who stated that around 66.67% of respondents did not work which meant that respondents had more time to accompany their children in using gadgets. The result of Chi-Square correlation test between gadget duration and social emotional development obtained p-value 0.011 (p <0.05) which means that there is a significant relationship between the duration of gadget usage on children’s social emotional development in PGRI 2 Rangkasbitung Kindergarten. Based on the results of the study, it is advisable for parents to accompany their children in using gadgets as well as providing time limits, checking gadgets and choosing games and spectacle applications that can hone child development.
Blockchain as E-Commerce Platform in Indonesia
Authors: Ismanto L , Ar H Suwito , Fajar A N , Sfenrianto  , Bachtiar S 
Published: August 2019

Abstract
The progress of technology and information system force digitalization process such as e-commerce to emerge. In Indonesia, the utilization of e-commerce has flourished because it has many benefits and advantages to broaden the market and stay competitive. However, it is faced with many challenges such as fraud, commission fees, limited contact between buyer and seller and misuse of personal data. Blockchain implementation has the potential to solve this problem with increased security and transparency through the implementation of cryptocurrency in payment and smart contracts. This paper explores the usage of the blockchain, cryptocurrency and smart contract to e-commerce for a secure and efficient transaction in Indonesia. The result will be used to propose blockchain technology as e-commerce platform architecture and systems in Indonesia.
Digital Image Processing for Character Detection of Captcha Login Internet Banking Image using Matching Template
Authors: Sutaji D , Husenti N 
Published: August 2019

Abstract
The development of the number of online shopping consumers in Indonesia is increasing. In 2016, research from e-Marketer estimated that it would reach 8.6 million people who shop through the internet. This figure increased from 7.9 million people in the previous year. The increasing number of people who know the internet along with the birth of generation Z (Gen Z) in the digital era makes changes in shopping habits that previously conventionally turned into online. Online transaction is an automatic ticket number that is used to differentiate transactions for each buyer. For example in the purchase transaction of goods in the online shop, each purchase transaction is distinguished through an additional three digits behind the nominal to facilitate payment into the seller’s account. The problem faced by the owner of the online shop is when BRI internet banking login to see account mutations, user authentication by entering the Captcha code. This process is repeated because there is a duration limitation for access to the system. It is necessary to check the account mutation automatically on a computer system that is able to read and recognize the character of the Captcha image. In this study, we propose the Template Matching method in recognizing characters in the captcha image. The dataset contains 300 images taken from the BRI internet banking website. The first step is to convert the extension from .png to .jpg. After the image is converted to extension .jpg the next step is pre-processing to correct the image of the noise that exists. Pre-processing result images that have been fixed are quality, then the separation of objects and background using Otsu. Then the process of labelling and segmentation. The characters are then processed using the Template Matching method so that they can be identified as numbers. The results of the experiments that have been carried out, found that the method we propose is able to recognize characters in the image with an accuracy rate of 90%. Errors in character recognition are due to characters that intersect, so when the results are processed the results do not match the ground truth.
Drone Utilization for Jakarta as a Smart City
Authors: Sriratnasari S R , Sfenrianto  , Fajar A N , Nurcahyo A , Albert  
Published: August 2019

Abstract
Flood, land conversion, clean water, human development, traffic jam, and poverty are the Jakarta problematics. Even though, Jakarta city is implementing the smart city concept. Smart city is a dream for every city in the world because it makes the city more effective, efficient, and worth living by implementing technology. Therefore, Jakarta have to be able to pay attention with the problems that is arise along with the rapid of technology by changing dynamically. One of the technology development that can answer the challenges of Jakarta city is drone. Drone utilization has brings a lot of benefits to be implemented in smart city. However, it must be remain vigilant in smart cities that apply using drones.
Web-Based Comprehensive Assessment for Postpartum Care using Rule-Based Algorithm
Authors: Mujahidah S , Suryono S , Widyawati M N 
Published: August 2019

Abstract
Administration of postpartum care has been performed in line with health care standards. Unfortunately the health service medical record data is still incomplete.This results in delays in establishing a diagnosis and providing therapy which results in a worsening of the postpartum mother’s condition.This paper proposes a web-based information system that may become one solution in solving the remaining issues in postpartum care. The system developed here is expected to improve health care quality with better data completion of postpartum mothers and access to them. The system developed here is web-based, in that it applies the rule-based artificial intelligence system. Input of the system are results of physical examination performed by medical professionals. Then processed using the rule-based algorithm to produce diagnosis and proper recommendation. This research is quasi-experimental using posttest only with control group. There were 40 were categorized into intervention group (n=20) who used the information system and control group (n=20) who used the present system endorsed by the government.. The rule-based algorithm in the information system uses validation from experts. Results show that the information system developed here is capable of solving the issue of incomprehensive data, as well as effectiveness in providing postpartum care.
The Effect of Pursed Lips Breathing Technique on Increasing Peak Expiratory Flow Rate (PEFR) in Medium Classification of Chronic Obstructive Pulmonary Disease Patients
Authors: Endrian MJW , Noviati Elis , Trisnawati Yayu , Kusumawaty Jajuk , Kurniawan Rudi , Rahayu Yuyun 
Published: August 2019

Abstract
Chronic Obstructive Pulmonary Disease (COPD) is a chronic disease that attacks the respiratory system caused by inflammation and pollutants that are sucked in the respiratory tract which will cause bronchial stiffness resulting in dyspnea or gasping breath. West Java itself has a prevalence of 3% including Ciamis. Dyspnea will reduce the ability of lung physiology which is marked by a decrease of peak expiratory flow rate<150 L which will eventually cause the death. The purpose of this study is to reduce dyspnea in COPD patients seen from the increase ofPEFR. The sample of this study was 25 medium classifications of COPD patients who were given the technique of Purse Lips Breathing 2 times a day in 7 days. The method of this research is one group pre-post test design with a sample of 25 COPD patients. The results of the study were tested by paired T-test where the results showed a P value of 0.00 <0.05, which means that there was a clear and significant increase in PEFR after given the Pursed lips breathing technique. Discussion of increasing PEFR requires consistency of COPD patients so that complementary therapy or even collaboration can be used to reduce dyspnea symptoms. As the conclusion, the increase of PEFR as a sign of reducing dyspnea does not stand alone but requiring a comprehensive examination, it can be used as the first measure of emergency breathing.
Consumer Preference on Catfishes (Patin and Lele) Sweetmeat Product
Authors: Sundari R S , Umbara D S , Fitriadi B W , Sulaeman M 
Published: August 2019

Abstract
Catfish sweetmeat is a new innovation of sweetmeat as food diversification made of catfish bream. To find out a product if it is able or not to meet consumer’s necessity measured by preference on those products. This research aimed to indentfy consumer’s preference on two sweetmeat catfish. The raw materials are such lele and patin by those atributes influenced to consumer due to decide to buy the producct. The method used Conjoint Analysis. The result determined that consumer prefer to decide to eat Patin than Lele catfish though higher price. Consumer rather confuse because of those are economic in price. Those both of catfishes are cheaper than beef in the market. The better taste of sweetmeat catfish the more prefer to eat. They said, why not to eat catfish that have the same taste as others even those have soft texture and easier to digest.
Effect of Karuk Leaves (Piper Sarmentosum Roxb) and White Galangal Rhizome (Alpinia Galanga L) Ethanol Extract on the Growth of Microsporum Gypseum and Candida Albicans in Vitro
Authors: Khusnul  , Suhartati R , Virgianti DP , Fathurohman M , Pratita ATK 
Published: August 2019

Abstract

Piper sarmentosum Roxb are wild plants that are widely used as an itch and cough medicine. P. sarmentosum and Alpinia galanga contain flavonoid, saponin, and alkaloid which has a function as an antifungal. This study aims to determine the effect of extract ethanol of Karuk leaves and white galangal rhizome in influencing the growth of Microsporum gypseum in vitro. The study was carried out with an experimental method of fungi using the Kirby Bauer. The results showed that the ethanol extract of Karuk leaves (Piper sarmentosum ) and white galangal rhizome (Alpinia galanga) had an effective inhibitory effect on the growth of fungi M. gypseum and Candida albicans. The best inhibitory zone of Karuk leaf extract is at a concentration of 100% with a diameter of 34.2 mm inhibitory zone which is categorized as very strong (M.
gypseum), diameter of 16.3 mm inhibitory zone which is categorized as strong (C. albicans) and while the inhibitory zone of galangal rhizome extract is the best, namely at a concentration of 100% with a diameter of 12,3 mm (C. albicans) and 32.06 mm (M. gypseum) inhibition with a very strong inhibitory response.
Beef Image Classification using K-Nearest Neighbor Algorithm for Identification Quality and Freshness
Authors: Agustin S , Dijaya R 
Published: August 2019

Abstract
Nowadays many traders are cheating in selling meat that is not feasible for consumption to get a greater profit by mixing good meat with meat that is not feasible for consumption. So cause anxiety for the community because it has dangerous content. One way to help people in selecting meat through image processing can recognize objects. The purpose of this research is to know the quality of beef which is good and feasible to be consumed using the co-occurrence matrix to classify the meat image with K-NN algorithm. This research can be utilized to be able to distinguish the types of meat based on colour and texture. The data used in this research are 60 image data consisting of 30 images of fresh meat and 30 images of rotten meat. The classification process uses test data in order to distinguish the types of fresh meat and rotten meat. The mean feature value of this method with the feature features of the highest feature extraction is the homogeneity value feature. The results showed that the performance of the system using the KNN method to identify the quality of meat based on colour and texture can detect the type of beef.
The Effect of Energy Supplements on The Levels of Gamma Glutamyl Transferase (GGT) Enzymes
Authors: Farihatun A , Kania D , Nurmalasari A , Nurliani L 
Published: August 2019

Abstract
Gamma Glutamyl Transferase is one of the most sensitive microsomal enzymes to detect liver parenchymal diseases. Gamma Glutamyl Transferase is an examination performed to measure the levels of GGT enzymes in the blood. The purpose of this study was to determine the results of GGT levels on bus drivers PT. Gapuraning Rahayu Ciamis who consume energy supplements with a total of 30 respondents. This research is descriptive, the data used are primary data presented in tabular form, incorporating narration. Based on the research that has been done on 30 respondents with the result 8 (27%) respondents high Gamma Glutamyl Transferase examination and 22 (83%) respondents with normal results. It can be concluded that the consumption of excessive energy supplements can increase Gamma Glutamyl Transferase levels.
Evolution of the charge carrier plasmon in the one-dimensional metal TTF-TCNQ as a function of temperature and momentum
Authors: Kovbasa Nikolay , Graf Lukas , Knupfer Martin 
Published: August 2019

Abstract
We have investigated the charge carrier plasmon in the quasi one-dimensional metal TTF-TCNQ using electron energy-loss spectroscopy. Our data reveal a negative plasmon dispersion with a slope that is independent of temperature, which is in agreement to predictions from model calculations and previous room temperature data. A plasmon energy shift upon temperature is observed, and we discuss possible contributions to this shift. The spectral width of the plasmon is rather temperature independent, but increases clearly above a momentum value of about 0.3 Å−1.
Optimizing opioid prescribing and pain treatment for surgery: Review and conceptual framework
Authors: Bicket Mark C , Brat Gabriel A , Hutfless Susan , Wu Christopher L , Nesbit Suzanne A , Alexander G Caleb 
Published: September 2019

AbstractPurposeMillions of Americans who undergo surgical procedures receive opioid prescriptions as they return home. While some derive great benefit from these medicines, others experience adverse events, convert to chronic opioid use, or have unused medicines that serve as a reservoir for potential nonmedical use. Our aim was to investigate concepts and methods relevant to optimal opioid prescribing and pain treatment in the perioperative period.MethodsWe reviewed existing literature for trials on factors that influence opioid prescribing and optimization of pain treatment for surgical procedures and generated a conceptual framework to guide future quality, safety, and research efforts.ResultsOpioid prescribing and pain treatment after discharge from surgery broadly consist of 3 key interacting perspectives, including those of the patient, the perioperative team, and, serving in an essential role for all patients, the pharmacist. Systems-based factors, ranging from the organizational environment’s ability to provide multimodal analgesia and participation in enhanced recovery after surgery programs to other healthcare system and macro-level trends, shape these interactions and influence opioid-related safety outcomes.ConclusionsThe severity and persistence of the opioid crisis underscore the urgent need for interventions to improve postoperative prescription opioid use in the United States. Such interventions are likely to be most effective, with the fewest unintended consequences, if based on sound evidence and built on multidisciplinary efforts that include pharmacists, nurses, surgeons, anesthesiologists, and the patient. Future studies have the potential to identify the optimal amount to prescribe, improve patient-focused safety and quality outcomes, and help curb the oversupply of opioids that contributes to the most pressing public health crisis of our time.