bluuebunny/crossref_metadata_2025 huggingface dataset:
ENaC and ROMK channels in the connecting tubule regulate renal K+ secretion
Authors: Yang Lei , Xu Yuanyuan , Gravotta Diego , Frindt Gustavo , Weinstein Alan M. , Palmer Lawrence G.
Published: June 2021

We measured the activities of epithelial Na channels (ENaC) and ROMK channels in the distal nephron of the mouse kidney and assessed their role in the process of K+ secretion under different physiological conditions. Under basal dietary conditions (0.5% K), ENaC activity, measured as amiloride-sensitive currents, was high in cells at the distal end of the distal convoluted tubule (DCT) and proximal end of the connecting tubule (CNT), a region we call the early CNT (CNTe). In more distal parts of the CNT (aldosterone-sensitive portion [CNTas]), these currents were minimal. This functional difference correlated with alterations in the intracellular location of ENaC, which was at or near the apical membrane in CNTe and more cytoplasmic in the CNTas. ROMK activity, measured as TPNQ-sensitive currents, was substantial in both segments. A mathematical model of the rat nephron suggested that K+ secretion by the CNTe predicted from these currents provides much of the urinary K+ required for K balance on this diet. In animals fed a K-deficient diet (0.1% K), both ENaC and ROMK currents in the CNTe decreased by ∼50%, predicting a 50% decline in K+ secretion. Enhanced reabsorption by a separate mechanism is required to avoid excessive urinary K+ losses. In animals fed a diet supplemented with 3% K, ENaC currents increased modestly in the CNTe but strongly in the CNTas, while ROMK currents tripled in both segments. The enhanced secretion of K+ by the CNTe and the recruitment of secretion by the CNTas account for the additional transport required for K balance. Therefore, adaptation to increased K+ intake involves the extension of robust K+ secretion to more distal parts of the nephron.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The 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

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.
Combination of Sobel+Prewitt Edge Detection Method with Roberts+Canny on Passion Flower Image Identification
Authors: Wanto Anjar , Rizki Syafrika Deni , Andini Silfia , Surmayanti S , Ginantra N L W S R , Aspan Henry
Published: June 2021

Edge detection is at the forefront of image processing for object detection, so a good understanding of edge detection algorithms is essential. This paper aims to analyze the ability of combined edge detection methods to identify images, through a comparison of two different edge detection methods, namely the combination of Sobel and Prewitt (Sobel+Prewitt) with Roberts and Canny (Roberts+Canny). The analysis process uses a dataset of Passion Flower Images obtained from the United States Department of Agriculture (USDA) Plant Database, Natural Resources Conservation Service (NRCS). The Image dataset was obtained using a Nikon Coolpix 995 camera, JPG format with a resolution of 128×192 pixels. Based on the analysis and testing, the results of the research using the combined edge detection technique of Roberts and Canny resulted in better image identification accuracy compared to Sobel and Prewitt. The average accuracy was 92.84% versus 68.75%.
Prewitt and Canny Methods on Inversion Image Edge Detection: An Evaluation
Authors: Rahmawati Sri , Devita Retno , Zain Ruri Hartika , Rianti Eva , Lubis Najla , Wanto Anjar
Published: June 2021

The use of the edge detection method in an image will produce the edges of the image object. The goal is to mark the part that becomes the image’s detail and fix the point of the blurred vision, which occurs because of an error or the effect of the image acquisition process. This study aims to see the combination of the Prewitt and Canny methods in detecting the edges of the inverted image. The image dataset used is a bonsai image consisting of 10 typical images, and ten bonsai images reversed based on the standard image dataset. The research dataset was obtained from the Caltech 101 website http://www.vision.caltech.edu/Image_Datasets/Caltech101/ with an image size of approximately 200×300 pixels. Based on the analysis of 10 experiments that have been carried out, the combination of the Prewitt and Canny methods can perform edge detection quite well with an average accuracy of 78.90% and an error rate of 21.10%. Thus it can be concluded that these methods combine to yield a reasonable level of precision, though the extent is very limited.
A Solution to Improve the Security of the Internet of Things Network with Lightweight Encryption Methods
Authors: Tanh Nguyen Van , Tri Ngo Quang , Giang Nguyen Linh , Duy Tien-Le
Published: June 2021

Security is an important issue in the Internet of Things networks. Conventional security solutions do not have great value on the IoT network because of many special elements of this system. The article introduces new innovations in security solutions, building comprehensive security systems for the IoT network by combining multiple lightweight encryption methods, installed on layers, against attacks, exploit common basic information. The system is built to ensure the feasibility, confidentiality, efficiency, cost, and balance with the low energy system on the IoT network. This study is implemented on vulnerable layers of IoT, indicating the results after comparing and evaluating different experimental models and scenarios.
Artificial Bee Colony Algorithm for Solving Green Vehicle Routing Problems with Time Windows
Authors: Utama Dana Marsetiya , Fitria Triani Aulya , Garside Annisa Kesy
Published: June 2021

Determining the route of vehicles in logistics has a vital function for logistics companies to reduce the total cost of distribution costs. One of the exciting problems in determining vehicle routes is the green vehicle routing problem with time windows (GVRPTW). This study aims to propose the Artificial Bee Colony (ABC) algorithm to solve the GVRPTW problem. This problem’s objective function is to minimize the total cost of distribution, which involves the total cost of fuel and late delivery costs. The ABC algorithm is applied to a case study of an Indonesian distribution company. Thirty customers and one distribution center were considered in this study. The results show that the ABC algorithm can minimize the total cost of distribution. In addition, the proposed algorithm produces a competitive total distribution cost compared to the nearest neighbor procedure.
Analyzing the Soft Error Reliability of Convolutional Neural Networks on Graphics Processing Unit
Authors: Adam Khalid , Mohd Izzeldin I. , Ibrahim Younis
Published: June 2021

There has been extensive use of Convolutional Neural Networks (CNNs) in safety-critical applications. Presently, GPUs are the most prominent and dominated DNN accelerators to increase the execution speed of CNN models to improve their performance as well as the Latency. However, GPUs are prone to soft errors. These errors can impact the behaviors of the GPU dramatically. Thus, the generated fault may corrupt data values or logic operations and cause errors, such as Silent Data Corruption (SDC). unfortunately, soft errors propagate from the physical level (GPUs) to the application level (CNN model). This paper analyzes the reliability of the AlexNet model to identify which part of the model more vulnerable to the soft error. To achieve this, we injected the AlexNet run on top of NVIDIA’s GPU, using the SASSIFI fault injector as the major evaluator tool. The experiments demonstrate a high reduction from 9.3 % to 0.00% SDCs errors in STORE and 5.0 % to 0.00% SDCs errors in GPR in Im2col. While Add_bias kernel instructions STORE and GPR the errors reduced from 0.8 % to 0.00% and 1.2 % to 0.1% SDCs error respectively.
Strategy for Implementing Immersive Technologies in the Professional Training Process of Future Designers
Authors: Chemerys Hanna , Vynogradova Anna , Briantseva Hanna , Sharov Sergii
Published: June 2021

The article is devoted to the formulation of a strategy for studying immersive technologies in the professional training process of future designers. To formulate the strategy, we reviewed current research in the field of design education on the use of augmented or virtual reality. Based on the analysis of scientific and methodological literature, the features of implementing the study of immersive technologies in the process of professional training of designers are described. There were reviewed educational programs of leading Ukrainian and foreign higher educational institutions in the specialty “design” using SWOT analysis. The strategy for studying augmented reality technology is formulated on the example of the educational program “Graphic Design”. Based on the results of the study, it is concluded that immersive technologies can be successfully implemented in higher education institutions with a developed infrastructure, qualified personnel and students with sufficiently developed multimedia competence. The future prospects of the study are connected with the conduction of an experimental study in order to find out the effectiveness of applying the proposed strategy for the implementation of immersive technologies on the example of the educational program “Graphic Design”.
Augmented Reality as a Medium for Learning Measurements and Quantities
Authors: Arifin Ardian , Haryanti Suci , Trinova Zulvia , Halim Fahmi Abdul , Cakranegara Pandu Adi
Published: June 2021

This study aims to provide students with a special understanding of material magnitude and measurement by utilizing augmented reality. The method in this research utilizes natural feature tracking-Multi Marker Target, as well as system development model namely ADDIE model consisting of Analysis, Design, Develop, Implementation, Evaluate. As well as using the Fast Corner algorithm. The research resulted in an application in the form of displaying 3D objects of layer magnitude and measurement. The designed UI is as attractive as possible for use in students. The application can run well on android operating system. The results of this study obtained the response of students got an average score of 81.87% with the category “Excellent”, so this media deserves to be used as a learning medium based on augmented reality in the field of Material Physics Magnitude and Measurement.
Data Processing and Plant Identification Based on Computer
Authors: Sujana Ahmad , Rosyidin Mohamad Abduh , Santoso Purwadi Budi , Magambit  , Afiyah Salamatul
Published: June 2021

The Plant Conservation Agency (PCA) in processing plant data is very much needed for identification speed. So that if the data is needed quickly, the time needed to perform the data search process will be even faster. In this data processing, there are several categories which will be divided based on the rights of the user who uses this application. The first category is user data processing for admin, garden collection data processing for operators, plant collection data processing for operators, and plant registration data processing for operators. All categories can be entered by users who are permitted to use this plant data processing system. The system development method used is the Sequential Linear Waterfall Model. Design concepts using structured concepts. The results of the alpha testing of this plant data processing system are that a functionally built system can produce output as expected, and for the results of beta testing of the plant data processing system that was built this is a plant data processing system that is made to process plant data and plant development data, plant data processing systems that are created can display plant data in PCA quickly, plant data processing systems can make plant data reports in PCA
Determinant of the Use of Go-Pay Among University Student; an Extended the Unified Theory of Acceptance and Use of Technology (UTAUT) Perspective
Authors: Pramusinto Hengky , Nurkhin Ahmad , Saputro Iwan Hardi , Kholid Almamnukhin , Septiarini Asri
Published: June 2021

This research aims to examine the factors that influence the use of go-pay among college students. An extended UTAUT is used as a basic framework for understanding these factors. A total of 217 students using go-pay are selected as the research respondents. The data are collected using a questionnaire. The questionnaire is distributed via Google form online. Multiple regression analysis data method is used to analyze the data. The results show that the use of go-pay among students is only influenced by behavioral intention and facilitation conditions. The students use go-pay as a payment instrument because their gadgets support the use of these features. The next findings indicate that habit, perceived financial risk, and perceived trust are not proven to be predictors of the use of go-pay by the students.
Digitalization Methods from Scratch Nature towards Smart Tourism Village; Lessons from Tanjung Bunga Samosir, Indonesia
Authors: Pranita Diaz , Kesa Deni Danial , Marsdenia
Published: June 2021

This paper exposed based on a concern about the very good tourism potential, but still not managed under market conditions. The development and management of digital tourism has become a building block for a competitive tourism destination, including the development of a tourist village. Super-priority tourism destination development, must employ a smart concept in ICT and eco-tourism development. Expert Judgment, through a number of focus groups, is used to formulate the best-adapted digital transformation strategy in the tourism village, using qualitative methods and Focus Group Discussion on Village Stakeholders. The results show that building blocks for smart tourism village development are the digital skills of stakeholders as well as financial, digital infrastructure and mentoring support, Tanjung Bunga Village should follow four stages of development: increasing digital literacy, building e-business, setting up e-commerce and building up e-commerce.
Forecast Energy Consumption Time-Series Dataset using Multistep LSTM Models
Authors: Nazir S. , Aziz Azlan Ab , Hosen J. , Aziz Nor Azlina , Ramana Murthy G.
Published: June 2021

Smart grid and smart metering technologies allow residential consumers to monitor and control electricity consumption easily. The real-time energy monitoring system is an application of the smart grid technology used to provide users with updates on their home electricity consumption information. This paper aims to forecast a month ahead of daily electricity consumption time-series data for one of the real-time energy monitoring system named beLyfe. Four separate multistep Long Short Term Memory LSTM neural network sequence prediction models such as vanilla LSTM, Bidirectional LSTM, Stacked LSTM, and Convolutional LSTM ConvLSTM has been evaluated to determine the optimal model to achieve this objective. A comparison experiment is performed to evaluate each multistep LSTM model performance in terms of accuracy and robustness. Experiment results show that the ConvLSTM model achieves overall high predictive accuracy and is less computationally expensive during model training than remaining models.
Software Innovation for SD Card Logger on Autoclave with Waterfall Method
Authors: Widadi Sigit , Fajrin Hanifah Rahmi , Pranaditya Afif , Safitri Meilia , Handoko Brama Sakti
Published: June 2021

The autoclave is one of the tools used for the sterilization process. If it is used as medical equipment in a hospital, according to the laws and regulations, it must have a certificate of proper use. Currently, autoclave calibration is carried out analogously by testing bacterial growth on spore strip paper. This research is part of the autoclave innovation and aims to create a process design for recording history data on the sterilization process. Data recording uses the data logger method recorded onto the SD Card memory media to record parameter values every second. Program commands are written in C language and run on the Arduino Mega 2560 microprocessor module. The autoclave temperature was detected by the RTD PT100 sensor, and the pressure inside the autoclave was detected using the MPX5700AP sensor. The recording was done in real-time using the DS3231 Real Time Clock (RTC) timer. The research results are to analyze the autoclave condition in more detail in order to obtain the eligibility status and facilitate the calibration process.
Decision Support System Analytical Hierarchy Process in Learning Method Selection
Authors: Azhar Zulfi , Wakhinuddin  , Waskito  , Effendi Hansi , Muskhir Mukhlidi
Published: June 2021

In artificial intelligence lectures at STMIK Royal, lecturers give lectures directly to students. In the implementation of these lectures, there is less variety so that students feel bored and the expected learning objectives are less than optimal. So that a broader knowledge is needed in providing lectures with learning methods to students properly and successfully. In selecting the effective learning method in this study using the Analytical Hierarchy Process (AHP) method, because this method is able to analyze using a number of criteria and selected alternatives. This research method by comparing the matrix with several criteria and alternatives from the results of filling out the questionnaire. This study produces several alternatives in a ranking, namely indirect learning strategies, interactive learning, independent learning and direct learning.
Selection of Scholarship Recipient by Implementing Genetic Algorithm and Fuzzy Logic
Authors: Pratama Yohanssen , Pasaribu Monalisa , Nababan Joni , Sihombing Dayani , Gultom Dicky
Published: June 2021

PPA (Academic Achievement Improvement) scholarship acceptance Institut Teknologi Del is open annually for students who have improved academic performance but are economically disadvantaged. Every year there is significant increasing of the number of students to apply for the scholarship. As a result, it becomes more difficult to determine students who are entitled to receive the PPA scholarship since the procedure was done manually. As a result, the selection time needed to produce a decision is longer. In response to this, the authors propose the implementation of Genetic Algorithms and Fuzzy Logic in determining scholarship recipients as well as using data from the Institut Teknologi Del Information System (CIS) using student data of 2016, 2017 and 2018. The data obtained is done by data pre-processing, then being input into the system. In the system the state has been set with CR = 0,9, MR = 0,1 and fuzzy parameters will be used. Following the genetic algorithm stages of population initialization, fitness evaluation, selection, crossover, mutation, and elitism, the fuzzy logic process is carried out in the form of fuzzyfication, inference and defuzzyfication. After the fuzzy process is completed, 10 scholarship recipient student data are obtained. Since the results of the membership function provided by the genetic algorithm always changed, it caused different result in each experiment. Four data similar to the original data of the scholarship recipient was finally shown in the 37th experiment from the total of 50 experiments carried out.
Additive Ratio Assessment (ARAS) Method for Selecting English Course Branch Locations
Authors: Sihombing Volvo , Nasution Zulkarnain , Al Ihsan Muhammad Ali , Siregar Marlina , Munthe Ibnu Rasyid , Mulia Siregar Victor Marudut , Fatmawati Irma , Asfar Dedy Ari
Published: June 2021

The research was conducted to overcome the problem of selecting a location for the opening of a new branch of the Murni Sadar English Course. The increasing need for the community to learn English has made Murni Sadar English Course to expand and open a branch of English courses in a new location. This problem is overcome by designing a support system that functions to help facilitate the selection of new branch locations. This DSS is designed using the Additive Ratio Assessment (ARAS) method using 5 criteria: population density level, access to locations, crowd level, rental costs, and population income. From the results of this study it is concluded that the ARAS method is very appropriate to be used as a tool in decision support where the best alternative location is Patuan_Anggi_Street with an alternative value of 0.1778.
The research trends in elementary education: a bibliometric and content analysis from Indonesia accredited journals
Authors: Adi Y K , Arifin S , Simbolon M E
Published: June 2021

Understanding the research trend in the elementary education level is essential for future research directions that could strongly contribute to the educational field. The purpose of this research was to analyze the research trend in elementary education level in Indonesia. Bibliometric and content analysis was applied to answer the research questions. The data source of this study was articles published by Indonesian Journal that accredited by the science and technology index (SINTA). In order to maintain the credibility of the data, we were selected the journal article only for those published in Journal with SINTA level 2 during the period of 2017 to 2019. The bibliometric analysis was conducted using the VOSviewer program. Moreover, the content analysis was conducted using unitizing-sampling-recording-reducing-inferring-and narrating. The finding of our study describes the research trend in Indonesia based on aspects: 1) researcher network; 2) topic; 3) method; 4) subject; 5) research location; 6) data collection; and 7) analyses. Therefore, as our recommendation, there is a need for elementary education researcher to conduct their study that drives to the research trend as we reported.
The Effectiveness of Think Pair Share (TPS) Integrated Problem-Solving Learning of Students’ Mathematic Ability
Authors: Mariamah M , Muslim M , Gunawan G , Hidayat Arif , Suratman
Published: June 2021

Generally, mathematical communication skills are still facing the problems. This is based on the results of the PISA study and some previous research results. The problem that occurs is that students are still not quite right in using mathematical symbols, the use of graphs and tables as well as the ability to explain arguments mathematically is still low Mathematical communication skills are needed and can be used in solving problems. Research aims to describe the improvement of students’ mathematical communication skills through the application of problem solving integrated Think Pair share (TPS) in mathematics. This research is an experimental research with two design pretest-posttest group. The instrument consisted of test instruments. The data analysis of the results of the study used the t-test. The results of the study obtained a t count of 9,143 when it is compared to the table with a value of 1,708. The significant value is 0,000 <0.05 so that Ho is rejected or the Think Pair Share (TPS) integration problem solving learning model can improve students’ mathematical communication skills.
An Ethnomathematics Case Study of Candrasengkala: A Reversed Order Chronogram in Bali-Java Tradition
Authors: Apsari R A , Sariyasa S , Junaidi J , Tyaningsih R Y , Gunawan G
Published: June 2021

Chronogram is a method to represent year by using a phrase. It is known in some cultures in the world, including Indonesia. Not only to record years, chronogram also be used as an encryption code in ancient cryptography. The present study aims at explaining the chronogram practiced in old Bali and Java traditions called Candrasengkala. Specifically, this is an ethnomathematics case study to understand how indigenous people of Bali and Java, two closely related cultures in Indonesia, practicing their ancient chronogram. To gain the data, we employed literature review and expert interview method to deeply learn the relation and arrangement among the numbers in Candrasengkala. The collected data were analysed qualitatively using descriptive method. From the analysis, it was found that Bali-Java chronogram performed a unique place value system. It means the represented year in Candrasengkala is written in ascending (unit-tens-hundreds-thousands) rather than descending (thousands-hundreds-tens-unit) order which is commonly used nowadays.
Students’ Responses Toward the Use of Technology Learning Media in Mathematics
Authors: Lu’luilmaknun U , Anwar A , Triutami T W , Salsabila N H , Gunawan G
Published: June 2021

Technology learning media has been used in learning mathematics in junior high school. The aim of this study is to describe the responses of junior high school students toward the use of technology learning media. This type of research is a survey study. Participants were 100 junior high school students. Data collection techniques using open-ended questionnaires. Data were analysed using descriptive quantitative method. The gathered data were classified into advantages and disadvantages category to explain how the participants react to their experience in using technology learning media in mathematics classroom. The results showed that the students gave positive responses towards the use of learning media in mathematics classroom since it is interesting, helpful and increased the technology literacy of the students. However, some also reported that the use of media could be difficult, especially the one which asking for internet access, decrease the use of textbook and limit their interaction with classmate. Also, looking too long to the screen can be dangerous for the eye’s health. The findings indicate that their learning style influenced students’ responses. Different styles lead to varying perceptions of the use of learning media in studying mathematics.
Strategies for Teacher Utilizing Ethnography as a Way of Seeing for STEAM Education
Authors: Sohsomboon Pairoh , Yuenyong Chokchai
Published: June 2021

This paper attempt to offer research digest of ethnography as a way of seeing which perceive having interrelated with Anthropology. Human being associated to culture, ethics and moral, aesthetic, value, and so on, these are considered as arts. As I perceive an outstanding feature of ethnography as a way of seeing spontaneously bond with arts, so I afford to provide an insight example of ethnography and provide an inspiring a way of employing ethnography to describe phenomena or circumstance in STEAM Education. I have offer the notion of implementing ethnography as a way of seeing for teacher on STEAM teaching in three stages, implementing ethnography in designing story for teaching topic, implementing ethnography during teaching process, implementing ethnography for assess students leaning.