bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamics in the plastic crystalline phase of cyanocyclohexane and isocyanocyclohexane probed by 1H field cycling NMR relaxometry
Authors: Carignani Elisa , Flämig Max , Calucci Lucia , Rössler Ernst A. 
Published: June 2021

Proton Field-Cycling (FC) nuclear magnetic resonance (NMR) relaxometry is applied over a wide frequency and temperature range to get insight into the dynamic processes occurring in the plastically crystalline phase of the two isomers cyanocyclohexane (CNCH) and isocyanocyclohexane. The spin-lattice relaxation rate, R1(ω), is measured in the 0.01–30 MHz frequency range and transformed into the susceptibility representation χNMR″ω=ωR1ω. Three relaxation processes are identified, namely, a main (α-) relaxation, a fast secondary (β-) relaxation, and a slow relaxation; they are very similar for the two isomers. Exploiting frequency–temperature superposition, master curves of χNMR″ωτ are constructed and analyzed for different processes. The α-relaxation displays a pronounced non-Lorentzian susceptibility with a temperature independent width parameter, and the correlation times display a non-Arrhenius temperature dependence—features indicating cooperative dynamics of the overall reorientation of the molecules. The β-relaxation shows high similarity with secondary relaxations in structural glasses. The extracted correlation times well agree with those reported by other techniques. A direct comparison of FC NMR and dielectric master curves for CNCH yields pronounced difference regarding the non-Lorentzian spectral shape as well as the relative relaxation strength of α- and β-relaxation. The correlation times of the slow relaxation follow an Arrhenius temperature dependence with a comparatively high activation energy. As the α-process involves liquid-like isotropic molecular reorientation, the slow process has to be attributed to vacancy diffusion, which modulates intermolecular dipole–dipole interactions, possibly accompanied by chair–chair interconversion of the cyclohexane ring. However, the low frequency relaxation features characteristic of vacancy diffusion cannot be detected due to experimental limitations.
Light absorption and hydrophobicity of a polystyrene/multiwall carbon nanotube composite with surface nanostructures
Authors: Yung Kai-Leung , Xu Yan , Tian Wei , Ko Sui Man , Foster James Abbott 
Published: June 2021

Abstract
This paper describes an investigation into how combined carbon nanotube doping and surface nanostructuring affects the surface properties of polystyrene. Multiwall carbon nanotubes (MWCNTs) have unique anisotropic electrical properties that can be utilized for light absorption, electromagnetic shielding and nanoscale electostatic forces. Polystyrene was doped with 5 wt% MWCNTs and the resulting composite was wetted onto a porous anodic alumina template to form a nanostructure surface of nanotubes. Scanning electron microscopy revealed a hierarchical surface structure with the composite nanotubes bundled together as the MWCNTs increased the attractive forces between the composite nanotubes. Water droplet testing revealed that this hierarchical surface structure was superhydrophobic. Though the presence of the MWCNTs caused a direct increase in absorption, the hierarchical surface structure increased reflection. The addition of 5 wt% of the anionic surfactant Sodium Dodecyl Benzene Sulfonate to ensure MWCNT dispersal did not significantly change hydrophobicity or light absorption despite the hierarchical surface structure becoming finer. The created composite has potential use as a surface layer on an organic surface cell as it provides reduced cleaning needs and electrical disturbance but further work is required to reduce the reflection.
Rhodomyrtus Tomentosa Extract Activity on Diabetic Wound
Authors: Dwita Lusi Putri , Dewanti Ema , Dwipa Fitra , Ramadani Ira Fitria , Mareta Dwi Sulistiorini 
Published: June 2021

Abstract

Karamunting (Rhodomyrtus tomentosa (Aiton) Hassk) is a plant that is widely used as a traditional medicine for, among others, wound healing. This study aims to determine the activity of ethanol extract ointment of 70% karamunting leaves (Rhodomyrtus tomentosa (Aiton) Hassk) and its ability on topical healing of diabetic wounds. A total of 48 rats were divided into 6 treatment groups, namely karamunting leaf extract ointment 2.5%, 5%, and 10%, diabetic control, non-diabetic control, and honey. The data obtained were the number of inflammatory cells, the number of fibroblasts, collagen density and epithelial thickness which were observed in days 3, 7, 10 and 14 days after the making of the wound. Based on histological observations, the results showed that the application of ethanol extract ointment with 70% karamunting leaf could affect the number of inflammatory cells, fibroblasts, and collagen density as well as significant re-epithelization speed compared to diabetes controls. Of the three concentrations tested, ointment at a concentration of 10% showed comparable results to honey. It can therefore be concluded that the application of ethanol extract ointment of 70% karamunting leaves can increase the speed of healing diabetic wounds.
Implementation of tensor flow-based deep learning in the learning application of around things in English
Authors: Budianto Heru , Khalimi Toni , Ismaya Rachmat , Kurniadi Erik , Dharmawan Erlan 
Published: June 2021

Abstract
English is the most widely used international language in communication and is the second language after Indonesian. English will be taught more easily and effectively to children from an early age. But it needs learning media that suits the needs of children’s growth. Learning media should be fun and able to get the child moving to explore the surrounding environment. This research aims to create an English learning application by applying Tensor flow machine learning that is able to recognize objects around us and package them in a learning application in which there is a game that is able to attract the attention of children to learn English. This research was built using the RUP (Rational Unified Process) system development method which consists of 2 dimensions. The first dimension consists of dynamic aspects in development consisting of inception, elaboration, construction, and transition phases. The second dimension represents static aspects which are grouped into 4 important elements, namely who is doing, what, how, and when. The machine learning process consists of 3 stages, namely data input (object image capture), preprocessing, and the training process. The results of this study are in the form of a learning media application that can recognize surrounding objects by applying Tensor Flow-based deep learning. The application consists of 2 parts, namely vocabulary learning and a quiz for the introduction of surrounding objects. Parents have a role to be able to add names and objects to the quiz in the application. The results of the research can be used as a learning medium according to the needs of the child.
The implementation of digital differential analyzer algorithm for route determination’s topographic maps based on android
Authors: Supriyadi Sugeng , Abbas Cecep J. , Sugiharto Tito , Januar Elpan 
Published: June 2021

Abstract
The route is direction that must be taken from the starting point to the destination point. Determination of the route is usually done for a reference trip that will be taken include the distance, time or slope of the terrain to be passed. In the implementation, the determination of the route is often used by agencies and organizations operating in the open nature where the activities require special expertise that can process geographic information systems. Although the tools and technology for route determination are sufficient, they are still less effective and efficient because to know the distance, time and slope of a terrain on topographic maps are still using conventional calculations, therefore the application of route determination’s topographic maps based android and applying Digital Differential Analyzer algorithm. The algorithm can be used as a line maker to display a slope picture of the field being traversed. This application was developed using the Rational Unified Process (RUP) method which has 4 stages: Inception, Elaboration, Construction, and Transition. This application can be run at least on Android platform version 4.1.
Design and build a queuing system for the office of population and civil registration of Kuningan Regency based on Android
Authors: Permana Aji , Nugraha Fitra , Krisdiawan Rio Andriyat 
Published: June 2021

Abstract
Queue system based on Population and Civil Registry of Kuningan Regency based on android is used in the process of managing the queue so that the queue stacking can be overcome. This queuing system provides a queue number for the next few days besides that the call of the queue number screen is provided in this system so that the community can more easily install the queue so that it is not at the location. With this system, the people of Kuningan Regency are freed by the large number of queues or scattered queues, then people who are far from the office location are made easy to get a queue number without having to come to the office.
Decision support system for the selection of exemplary teachers using profile matching method
Authors: Darmawan Erlan , Yusuf Fahmi , Suseno Endra , Budianto Heru , Maesyaroh Siti 
Published: June 2021

Abstract
According to Law No. 14 of 2005 in Indonesia regarding teachers and lecturers, Article 36 paragraph (1) mandates that teachers who have achievements, are extraordinarily dedicated, and/or work in a special area are entitled to receive awards. However, in determining or choosing an exemplary teacher is not as easy as imagined, this is because there are many teachers who can be used as candidate for exemplary teachers, this is certainly a difficulty for decision makers, in this case, namely the principal to determine exemplary teachers, it cannot be denied that too selection is often done not objectively due to unclear judgments. This study aims to design a decision support system using the Profile Matching method. This method was chosen because the assessment through a decision support system with profile matching has a better level of objectivity, this is done by measuring the value of each indicator of the assessment variable which is then derived again using sub-indicators and weighted using the assessment parameters then calculated using the decision-making mechanism assuming that there is an ideal predictor variable level that must be met by the subject. The output of this study is in the form of recommendations for exemplary teachers who have criteria in accordance with the criteria set by the relevant parties.
Decision Support System with Multi Criteria Decision Making Technique
Authors: Jayady Arman , Hidayat Tonny , Qomariyah Erni , Suriyani BB , Husain Muh. Najib , Caniago Aspizain , Rusmardiana Ana , Pulungan Delyana R , Eteruddin Hamzah , Timotius Elkana , Nurhayati Siti 
Published: June 2021

Abstract
An assistant is a person who is assigned to help with the distribution of paperwork in the office. It requires males and females on staff. The assistant is in charge of assisting the smooth functioning of these activities of the office. It is not easy to find a good assistant. For this election, I could use a set of tools that can assist me in determining whether the recommendations given should be good. The Multi-Criteria Decision-Making method can be used to provide recommendations for the selection. In this method, one of the methods is Multi-factor Evaluation Process (MFEP). Each item will be rated on a set of criteria, and the ratings will be compared for the highest rating possible. Afterward, the result will be ranked the highest. Our findings will appear after we have first considered the highest score due to the order in which the scores are generated. If vou apply the mobile network application method to the service, vou can make a smooth and fast network reception.
Application of Decision Support System using Composite Performance Index Algorithm
Authors: Prastowo Ari Agung , Purwadi Ari , Murtono Taufik , Upe Ambo , Rusli Muhammad , Hos Jamaluddin , Moita Sulsalman , Wicaksono Galih , Wan Khairuldin Wan Mohd Khairul Firdaus , Sono Moh. Gifari 
Published: June 2021

Abstract
Every village has a site of leadership. The village head is the person who is entitled to manage the village. The person is the one that is elected to build and develop the village. The village heads will try to improve the situation of the village as well as its residents. People who have this rank have obligations and responsibilities for carrying out village activities. However, democracy is the way to accomplish the best outcomes in terms of peace, justice, and security. The decision support system using the Composite Performance Index (CPI) method functions to assess village head candidates and process them in order to get good ranking results. The most important result of the election is what the village head decides. The application of the Composite Performance Index (CPI) method is very good in determining the right person who will occupy the position of the village head.
Application of Kahoot as Learning Media for Junior High School Students
Authors: Waworuntu Billy Josef , Suyoto  
Published: June 2021

Abstract
In today’s education world, we must use information technology in learning during this pandemic because learning during this pandemic period is carried out online. Meanwhile, many students and teachers must continue to adapt to new learning media with different methods. Currently, there are many designs for learning methods, one of which is gamification. Gamification is one way to make learning exciting and liked by students. This study designed learning media using the Kahoot tool, which contains multimedia elements such as text, images, sound, animation, and video into evaluation questions for students to do. This method is carried out simultaneously and is limited to one part of the lesson, namely Compiling the Pantomime Text in grade 8 of Junior High School (SMP Negeri 2 Manado). Learning evaluation design is carried out to improve student learning outcomes.
Systematic Literature Review: Analysis of Assessment Elements of OHSMS in Indonesia Hospital
Authors: Rahmadani Meilisa , Modjo Robiana 
Published: June 2021

Abstract
As a workplace, hospitals have high hazards and risks, especially related to occupational health and safety (OHS). Therefore, to protect human resources, assets, and hospital facilities, a comprehensive system is needed to regulate the implementation of OHS in hospitals. To ensure the OHS system is implemented properly, special assessment instruments are needed. Furthermore, to develop an appropriate assessment instrument for hospital care, an analysis of the assessment elements of the hospital’s Occupational Health and Safety Management System by reviewing the previous research results. Based on searches on the Science Direct, Jstor, SpringerLink, ProQuest, Sage Publication, Oxford Journal, Google Scholar, and Garuda Dikti databases, 486,132 journals were obtained. Through the evaluation of inclusion and exclusion tests, 18 literature was selected. It was found that the important elements needed in assessing the hospital’s Occupational Health and Safety Management System implementation are: implementation of OHS, building and maintaining commitment, management of OHS risk, and developing skills and capabilities of hospital staffs.
Implementation of Kahoot as a Creative Learning Media
Authors: Siwalette Reynaldi , Suyoto  
Published: June 2021

Abstract
The development of information and communication technology in this era is very rapid. Technology integration is a needed to facilitate the teaching and learning process in the classroom. This research aims to explore Kahoot’s online platform as a medium of creative learning about the local culture for learners. The aim is so that students can get knowledge about local culture through Kahoot media. The application of Kahoot as a learning media will be designed as creatively as possible by using existing features to acquire useful knowledge. Its application is expected to improve the learning ability of learners in today’s world.
The Effectiveness of the Concept of CRM Application for SMEs during the COVID-19 Pandemic
Authors: Pratiwi Mutiana , Arsyah Ulya Ilhami 
Published: June 2021

Abstract
Small and medium enterprises (SMEs) are the business sector that has felt the impact of the COVID-19 pandemic in Indonesia. With this pandemic, all business lines that became the axis of economic growth in Indonesia experienced a significant decline. The purpose of this study is to determine the effectiveness of the use of the concept of customer relationship management (CRM) to increase the sales of an SME engaged in food supply services during the Covid-19 pandemic. The result of this research is the formation of a website that can help SMEs in promoting products online in order to increase sales.
Use of Analytical Network Process Algorithm in the decision-making process
Authors: Surya Buyung Perdana , Sai Laila Refiana , Jenita  , Suwarno Suwarno , Wahab Wirdayani , Medaline Onny , Rusmardiana Ana , Anriani Stepi , Bhawika Gita Widi , Mujanah Siti 
Published: June 2021

Abstract
The aim of this research is to implement a decision support system where the resulting system is in the form of a recommendation for existing outcomes. Conducting research to select sunblock products. Sunblock is one of the lotions that must be used before leaving the house so that the skin can be protected from sunlight and UV rays, UV rays can have a harmful effect on the skin, therefore the skin needs sunlight protection, one of which is by using a sublock, many sunblock products on the market. The aim of this study is therefore to find the best sunblock products based on the consumer experience of sunblock users. The data obtained to complete the study were taken from the results of questionnaires distributed to sunblock users randomly located in the Simalungun district. This study uses the ANP (Analytic Network Process) decision support system, the researcher uses several criteria to complete this study, including: (H) Price, (Jk) Skin Type, (Ef) Side Effects, (Kp) Product Quality, (Ap) The rules of use, (Ktp) Product affordability and alternatives used are: (A1) Nivea, (A2) Vaseline, (A3) Wardah. The results of the study using the ANP method based on a questionnaire distributed to consumers using sunblock showed that the best recommendations for sunblock type recommended by consumers were Nivea (A1) = 7.2, Vaseline (A2) = 5.4 and Wardah (A3) = 5.07.
Best Model and Performance of Bayesian Regularization Method for Data Prediction
Authors: Setiaji Pratomo , Widjanarko Bambang , Syahidin Yuda , Himawan Hidayatulah , Siregar Nurintan Asyiah , Harmayani  , Samboteng Lukman , Gulo Nur’ Ainun , Kartikaningsih Reni 
Published: June 2021

Abstract
The backpropagation algorithm has many training and activation functions that can be used to influence or maximize prediction results, all of which have their respective advantages and disadvantages. The purpose of this paper is to analyze one of the training functions of the backpropagation algorithm which can be used as a reference for use in data prediction problems in the form of models and best performance. The training function is the Bayesian Regularization method. This method is able to train the network by optimizing the Levenberg-Marquardt by updating the bias and weights. The research dataset used to analyze the data in this paper is Formal Education Participation in Indonesia 2015-2020 which consists of the School Participation Rate, the Gross Enrollment Rate, and the Pure Enrollment Rate. The 2015-2016 dataset is used as training data with a 2017 target, while the 2018-2019 dataset is the test data with a 2020 target. The models used are 2-10-1, 2-15-1, and 2-20-1. Based on the analysis and calculation process, the results of the 2-15-1 model are the best with an epoch of 217 iterations and an MSE of 0.00002945, this is because the epoch is not too large and has the smallest MSE compared to the other 2 models.
Application of the clustering algorithm to the small and micro industrial companies for mapping regions with k-medoids
Authors: Jatnika Hendra , Jamaludin Haris , Rahman Auliya , Ibrahim I , Sianipar Joseph H , Waluyo Ari , Maulana Siregar Abdul Rahman , Qomario Q 
Published: June 2021

AbstractThe largest segment of national economic actors is the micro and small enterprises (MSEs). The research aims to analyze the number of micro and small companies in Indonesia using data mining techniques to map a cluster. The dataset used consists of three-four records of the central Statistical Bureau (SourceUrl: https:/www.bps.go.id/), composed of the micro and smaller companies in 2017-2019. The k-medoids method is the solution used in cluster mapping. The average number of small and micro enterprises for 2017-2019 is the attribute used. The numbers of clusters were determined with the Davies Bouldin Index method (DBI), where k = 2 is the best value (0.111). In accordance with the results of the cluster (k=2), the label is divided into two (high cluster (clt1) and low group) (clt2). The results of the calculation of k-medoids show that 90% of Indonesia’s area is within the low class. In the high cluster are only Central Java, West Java and East Java. Accuracy, accuracy, reminder and f-measurement parameters are 100% demonstrated in the cluster test results. This mapping can be one of the foundations on which to constantly increase the number of micro and small firms, since the role of MSEs in jobs is extremely important, since it is apparent that MSEs have continued to grow considerably.
Decision support system analysis for selecting a baby cream product with Preference Selection Index (PSI) Baby Sensitive Skin Under 3 Year
Authors: Amin Muhammad , Irawati Novica , Sinaga Hommy Dorthy Ellyany , Retnosari Dwi , Maulani Jauhari , Raja Harmonvikler Dumoharis Lumban 
Published: June 2021

Abstract
The aim of this study was to examine the technology for decision support in the selection of baby cream products for sensitive skin in children under three years of age. Babies’ skin sensitivity should be addressed in order to maintain the baby’s skin health, but parents should be more careful with product selection in the number of products to treat sensitive skin in babies on the market. Data sources obtained through random observations, interviews and questionnaires (parents who have babies). The solution provided is the Preference Selection Index (PSI) method, which is part of the support system for decision making. Five criteria are used as parameters when selecting sensitive skin product for children, namely: price (K1), type of skin (K2), feeling of brand (K3), interests (K4) and packaging (K5). While the alternatives used based on the interview results are cussons (alt1), johnson’s (alt2), zwitsal (alt3), pigeon (alt4), and sleek (alt5). The results of the Preference Selection Index could be used by analysis of the first recommendation of product alt1 (cussons), a value of 0.978584. The second recommendation of product alt3 (zwitsal) is a value of 0.976655. Research results are hoped to provide a wider awareness for babies when selecting sensitive skin products for three years old.