bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary phytochemical screening of different solvent extracts of flower and whole plant of Wedelia biflora
Authors: Mardina Vivi , Halimatussakdiah  , Harmawan Tisna , Ilyas Syarifuddin , Tanjung Masitta , Aulya Wanda , Nasution Annisyah 
Published: January 2020

Abstract
In this study, comparison of preliminary phytochemical screening of Wedeliabiflorawas conducted using the n-hexane and ethyl acetate solvents extracts. The W.biflora samples were grouped into flowers andleaves. The different solvents of flowers extracts exhibited secondary compound viz. flavonoid, alkaloid, fenol, tannin, steroid, and saponin. While the extracts of leaves revealed flavonoid, alkaloid, fenol, tannin and steroid without saponin. Thus, the present of various bioactive components in the W. bifloraextract might bepotential for responsible on the pharmacological activities including antifungi, antibacterial, antioxidant, anti-inflammatory and anticancer.
Determination of the most dominant cause factors due to erosion in the farmland of Sibolangit sub-district
Authors: Simbolon Shanti Desima , Nasution Zulkifli , Rauf Abdul , Delvian  
Published: January 2020

Abstract
Solving erosion problems is often inefficient and effective because of lack a deep understanding of the most dominant causal factors. It really depends on how the results of our research of the factors that influence and relate to each other. Erodibility, slope and crop management are three factors that influence the amount of erosion. Each of these factors has a different index value indicating differences in the magnitude of the effect on erosion. The erosion model designed to predict long-term erosion is the USLE Method. The formula for the USLE equation is as follows: A = R.K.L.S.C.P where A=the amount oferoded soil in tonsha−1 year−1; R=rainfall factor; K=soil erodibility factor; L=slope length factor; S=slope factor; C=crop management factors; P=soil conservation factor. The statistical analysis used to answer the most dominant factor is multiple linear regression analysis. The results of this research showed that the highest erosion was 11,302.79 tons ha−1 year−1 in SPT-24, followed by SPT-5 of 3192.88 tons ha−1 year−1 and SPT-25 of 2408.33tonsha−1year−1 while the lowest erosion on SPT-26 is 21.06 tons ha−1year−1. Based on the analysis results obtained the most dominant factor is soil erodibility with a coefficient of determination (R2) of 61.4% so that the focus on erosion handling offarmland in Sibolangit Sub-Districtis minimum and contour tillage, optimize use of green manure and compost, land cover with plant litter. All of the aim is to improve each factor that affects erodibility, namely texture, structure, permeability and soil organic matter.
Effect of gamma rays on phenotypic of garlic cultivar doulu
Authors: Gultom Tumiur , Simbolon Delima Lisma , Nainggolan Wandes Sanbara 
Published: January 2020

Abstract
This research aims to determine the effect of gamma-ray irradiation on the phenotypic of the garlic cultivar Doulu. The study was conducted in April-August 2018. Radiation on the bulb garlic is carried out at the centre of Safety and Meteorological Technology (PTKMR), BATAN, Jalan Lebak bulus Raya No. 49 Jakarta. Bulb planting is done at the research Hall of vegetable crops, Tongkoh village, Berastagi, North Sumatera. The draft used in this study is non factorial group random draft with 6 radiation dose treatment of 0 Gy (Control), 2 Gy, 4 Gy, 6 Gy, 8 Gy and 10 Gy. Each of the treatment levels is repeated as much as 4 and consists of 10 cloves of garlic. The observed quantitative data parameters are growing age, crop height, number of leaves, number of cloves, heavy bulbs, diameter of bulb, heavy cloves and diameter of cloves. The qualitative data parameters observed are bulb structures and bulb forms. Qualitative Data obtained is analyzed using various prints with advanced test of the smallest real difference (LSD). The results shows the irradiation of the influential gamma rays in the height of the plant, the number of leaves, the number of cloves, the weight of bulbs, the diameter of the bulb, the weight of cloves, and the diameter of garlic cultivars Gamma-ray irradiation produces a variety of bulb structures and bulb shapes. The parameters observed were structure and shape bulb based on IPGRI. Results showed that there were differences in the structure and shape of garlic bulbs.The structure of bulb are regular two-fan groups, regular multi-cloved radial, regular quadruple, regular two-cloved, and Irregular. The shape of bulb are Flat, Flat globe, Rhomboid, Broad oval, Globe and Ovate.
Antioxidant activity of methanol extract of Diplazium esculentum (Retz.) Sw. leaves collected from Aceh
Authors: Halimatussakdiah  , Amna U , Mardina V 
Published: January 2020

Abstract
Cell damage mediated by free radicals is one of the main causes of many dangerous diseases such as cancer, autoimmune disorders, rheumatism, cataracts, aging, cardiovascular disease, diabetes, arthritis, Parkinson, Alzheimer and neurodegenerative diseases. The prevention of dangerous diseases caused by free radicals can be done by developing raw materials for natural antioxidant drugs that can reduce free radicals by giving one of their electrons to produce neutral molecules that are not harmful to the human body, such as fern (Diplazium esculentum (Retz.) Sw.). D. esculentum collected from Aceh was extracted in methanol. The antioxidant activity of this extract was determined by 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity assay. The result showed very good activity of the DPPH antiradical efficiency of methanol extract of D. esculentum with IC50 values of 123.958 ppm. Based on phytochemical screening, D. esculentum contained polyphenol compounds that have good activity as antioxidant. This result indicated that D. esculentum has potential as antioxidant and can be applied in the development of new medicines.
Performance of TB health center service officers based on compensation effect, supervision and competence using machine learning technique
Authors: Purba Japirman , Bahri Syaiful , Khair Hazmanan , Darnila Eva , Sinambela Marzuki 
Published: January 2020

Abstract
Tuberculosis as a major health problem in Indonesia, need to evaluate the procedure to solved and increase the solution. The objectives of the research were to discover the correlation of performance of TB Health center service based on compensation effect, supervision and competence. The population consisted of 78 correspondence were taken as the sample through cluster random sampling technique. The study aims to the identification and evaluates the officer competence, supervision, and compensation of TB problem in the Medan Area, by using Machine learning technique to test the correspondence. The results of the research concluded, there was a significantly positive correlation between compensation effect, supervision and the competence with the performance of TB Health Center officers.
Algorithm solution for space-fractional diffusion equations
Authors: Sunarto A , Sulaiman J 
Published: January 2020

Abstract
In this study, we propose approximate algorithm solution of the space-fractional diffusion equation (SFDE’s) based on a quarter-sweep (QS) implicit finite difference approximation equation. To derive this approximation equation, the Caputo’s space-fractional derivative has been used to discretize the proposed problems. By using the Caputo’s finite difference approximation equation, a linear system will be generated and solved iteratively. In addition to that, formulation and implementation algorithm the Quarter-Sweep AOR (QSAOR) iterative method are also presented. Based on numerical results of the proposed iterative method, it can be concluded that the proposed iterative method is superior to the FSAOR and HSAOR iterative method.
Machine learning approach for turbulence forecasting using support vector machine
Authors: Anwar Darul , Sembiring Kurnia , Tarigan Kerista , Sinambela Marzuki , Abubar Abd. Rachman , Hasibuan Doli 
Published: January 2020

Abstract
The turbulence can be expressed as small-scale, short term and frequent change to the velocity of air. The turbulence forecasting in the atmospheric boundary layer is very influenced by gradient Richardson number values. In this case, we use the data set were retrieved from Indonesia Meteorology, Climatology and Geophysics in synoptic hour 0000H. In particular, our methods will use Richardson number value and machine learning approaches by using a support vector machine to forecast the Richardson number value and identification the stability of the layer based on the turbulence forecasting. The results will be practically beneficial as utilities can use the predicted values to generate an adequate amount of Richardson number value to avoid grid outages as well as construct dynamic pricing schemes based upon future turbulence.
Determination of accuracy value in id3 algorithm with gini index and gain ratio with minimum size for split, minimum leaf size, and minimum gain
Authors: Putra Randi Rian , Dhany Hanna Willa 
Published: January 2020

Abstract
A process that explains and functions to distinguish data classes is called Classification. The use of Gain Ratio in ID3 algorithm is very influential on accuracy compared to the Gini Index, and if the higher the determination of the minimum size of split, the minimum leaf size and the minimum gain, the accuracy results will be greater in the gini index and gain ratio, but from both methods there is an accuracy difference of 27% for each accuracy test. In determining the minimum size of split 2, the minimum leaf size 2 and the minimum gain 0.4 with the value of accuracy at the gain ratio of 85.53% and gini index 58.67%. The minimum size of split 6, the minimum leaf size 3 and the minimum gain 0.8 with accuracy values at gain ratio 64.67% and gini index 60.67%. Then the minimum size of split 12, the minimum leaf size 6 and the minimum gain of 0.16 with the value of accuracy at the gain ratio of 86.00% and the index of 68.00%. While the minimum size of split 48, the minimum leaf size 24 and the minimum gain of 0.64 with the value of accuracy at the gain ratio of 95.33% and the index value of 72.00%. Then the Gain ratio which produces the highest accuracy value compared to the gini index.
Improve BIRCH algorithm for big data clustering
Authors: Ramadhani Fanny , Zarlis Muhammad , Suwilo Saib 
Published: January 2020

Abstract
Big Data is a collection of data with super large data volumes, has a very high diversity of data sources, so needs to be managed with methods and devices that help perform accordingly. Clustering is one of the effective techniques for dealing with Big Data. The hierarchical method with the BIRCH algorithm is able to produce a short time in data execution. The BIRCH algorithm is a matching grouping algorithm for very large data sets. In an algorithm, a CF-tree is built in which all entries in each leaf node must meet same T threshold, and the CF-tree is rebuilt at each stage with a different threshold. But using a static (fixed) threshold produces poor cluster quality, in this paper proposes a solution to this deficiency by modifying the Threshold value to dynamic so that it can produce good cluster quality and be validated using silhouette coefficient (SC). There is a very clear difference between the standard BIRCH algorithm and the BIRCH algorithm on the modified T parameter (BIRCH (CF-Leaf (modif)). The CF-Node result, the total CF-Entries and Total CF-Leaf Entries produced 60% less than CF-Node, the total CF-Entries and Total CF-Leaf Entries in the standard BIRCH algorithm.
Formulating cloud based hospital information system (HIS) with Zachman framework
Authors: Gunawan Wang , Liejaya Bellarika 
Published: January 2020

Abstract
Information Technology and System (IT/S) has become essential components in the companies in various focuses and fields. Major Indonesian companies experience difficulties to link the business objectives with IT implementation, that lead to creating major problems, such as: ineffective IT investment, major complaints amongst potential stakeholders, etc. The article takes the case study of one of the largest hospital chains, XYZ Hospital that has 21 subsidiaries operating in major cities in Indonesia. Currently, The XYZ hospital has cloud-based computer system that integrates entire business processes in Hospital Information System (HIS). Due to its all advance computer systems, ironically, the HIS receives many complaints and dissatisfaction amongst major stakeholders of the hospital. The director has risen the issue to evaluate the current HIS development. For this reason, the article proposes the popular Enterprise Architecture, Zachman framework to assess the current business process in the organisation. To simplify the discussion, the framework is simplified to the essential component of 3x3 matrix, and links them with 3 important stakeholder’s perspectives of HIS development: planner (scope), owner (enterprise model) and designer (system model). The outcome is expected to provide reference for those important stakeholders for further HIS development.
Applying smart parking system with internet of things (IoT) design
Authors: Mufaqih Moh Sukron , Kaburuan Emil R. , Wang Gunawan 
Published: January 2020

Abstract
Managing parking system has become major issues in almost all malls in Jakarta. The majority of mall in Jakarta have difficulty to develop plan that enables to optimize their parking slots. Some malls use valet system to gain more profit or ease the customers, unfortunately the valet system price is quite expensive for major customers and it sounds unpopular. Therefore, many area of valet parking space is not maximized. The similar problems also faced by traditional parking system where it creates problems for customers such as difficult to find parking space, paper ticket missing and unable to locate car location. The purpose in this study is to propose a Smart Parking System (SPS) through the use of Internet of Things (IoT). The article applies smart parking system that enables online booking system, paperless ticket, cashless payments and automated guided parking. The objective of the article is expected to enhance the current online parking management system with IoT design, with the aim to be used as reference for parking management in malls.
Analysis of the effect number input and hidden layer variations on the addition kohonen algorithm to backpropagation method
Authors: Putra P H , Zarlis M , Mawengkang H 
Published: January 2020

Abstract
The process of recognizing data patterns using the method of adding kohonen to back propagation is very influential on the amount of input data and the number of hidden layers. The results of the testing with the addition of information on the back propagation algorithm have better epoch results in testing using input data 8 has an epoch value that is better than testing using the number of input data 3,4,5,6,7. The test results using layer 5 hidden have epoch 15 value which is better than the hidden layer 3, 4,6,7,8.
A computation in the braid group
Authors: Nasution Mahyuddin K M 
Published: January 2020

Abstract
The braid group is a structure. It has the concepts and the implementations in graphics: points, lines, and some crosses. The crosses are also positive and negative. A braid not only forms graphs, but in different structures based on mathematics. So far, the braids only applies to discrete concepts, but it is possible to present a fuzzy concept. By applying computing to symbols representing the braids, the concept towards fuzzy as generating the form of another structure.
The data warehouse for guarantee of objects in the fiduciary
Authors: Prasetia Frabowo , Tampubolon Parlindungan , Hakim Arif Rahman , Girsang Abba Suganda , Simamora Roni Jhonson 
Published: January 2020

Abstract
The data warehouse is a structured data environment for decision support systems (DSS) and online analytical application data sources. Finance the guarantee data is extremely important because this data is checked you will be State-run finance is already good or less good, already underway in accordance with standard operational procedures. Show case of branches; see the status of data has been done by each branch, the amount of any status on a branch that has performed guarantee. The data of the vehicle that has been issued by a fiduciary as well as consumers who have made the assurance to the fiduciary. The methods used in this paper are to follow nine step. The objectives to be achieved from this paper so that the resulting data can answer the question of fiduciary business process, by generating the dashboard as a faster visualization on understanding and a report
RETRACTED: Clustering steam user behavior data using K-Prototypes algorithm
Authors: Ranti Kiefer Stefano , Salim Kelvin , Girsang Abba Suganda 
Published: January 2020

Abstract
The usage of user telemetry to gather player behavioral data on video games can be very beneficial to game developers with a certain business model. With the help of user telemetry in game development, it can provide access to data on user behavior from installed game clients’ platform such as Steam. These behavioral data can be used to find out the Steam user behavioral patterns on playtime distributions that can be studied by developers in order to have a deeper understanding of the behaviors of their players. In this study, the data are clustered using the k-prototypes algorithm, a combination of k-means and k-modes algorithm that can be used to cluster mixed attributes. The result shows that the clusters represent the types and preferences of the players.
Using DeLone and McLean model for evaluating an e-commerce website
Authors: Yel Mesra Betty , Sfenrianto Sfenrianto , Anugrah Raka Doni 
Published: January 2020

Abstract
E-commerce in Indonesia has grown rapidly and provided many positive impacts especially on the field of online business. Through the developments, there are certainly many factors that must be carefully considered in all aspects to get the “goal” as desired. So, when an e-commerce website has made changes whether we can conclude that the results worked so far or not. It can start by taking the existing factors that become the determinant of one of the successes in the e-commerce website. The study aims to evaluate factors become the success of an e-commerce (jualandbeli.com). Using the McLean and Delone success model approach that has 5 factors, namely: system quality, information quality, use, user satisfaction and net benefit. The result shows system quality, user satisfaction, and net benefits influence to use factor. net benefit influence to use. Quality of information influence to user satisfaction factor.While user satisfaction influence on net benefit factor. Thus, be expected, the model can be used as reference in related evaluating an e-commerce website.
Analysis of neural network algorithm in determining high school student department
Authors: Siagian Novriadi Antonius , Zarlis Muhammad , Situmorang Zakarias 
Published: January 2020

Abstract
In senior high schools, especially in the first class were required to place a department that is in accordance with the value produced. The application predicts student majors based on the value of students using artificial neural network algorithms using rapid miner to be able to produce more precise and faster accuracy results. The results obtained from the analysis carried out obtained an accuracy value of 71.86%.ANN has a network architecture that is a single layer net. Networks that have more than one layer are called multilayer net and competitive layer networks (competitive layer net). The shape of a multilayer net 1 or more has between the input layer and the output layer, which weighs between 2 adjacent layers. ANN architecture using 3 layers is 7 input layers, 6 hidden layers, and 2 output layers. 20 neurons are the number of neuron outputs to artificial neural networks
Optimization of giving employee craft assessment using artificial neural network with Hebb algorithm
Authors: Napitupulu Segar , Situmorang Zakarias 
Published: January 2020

Abstract
One of the most important things in human resource management is employee discipline that can be seen in employee presence. It is very important for companies to set up employee attendance systems properly. In general, benefits - allowances are always associated with employee precession data, so that the results of the calculations became accurate and balanced with employee performance. As is the case with craft benefits, this craft allowance is held for companies to improve employee discipline, especially in presence or presence. Based on the background of the above problems, a problem can be formulated, namely the determination of the model in the process of determining the recipients of employee craft benefits so that the monthly income is optimal and significant. Based on the problem, the authors are interested in redeveloping the final project with the optimization of giving employee craft assessment using the hebb rule neural network method.
Measurement of activeness lecturers in SmartLecturer based learning using fuzzy Mamdani and Sugeno
Authors: Sfenrianto Sfenrianto , Yasin Muhammad , Nainggolan Kaman , Yel Mesra Betty 
Published: January 2020

Abstract
The success of learning in a classroom that uses supporting media demands lecturer activity. The level of activity of lecturers in class and using learning media such as Smart lecturer can be measured using a fuzzy logic approach. This study aims to measure the level of active lecturers using the approach, namely: Mamdani and Sugeno method. Stages of lecturer activity measurement by forming a fuzzy set, composition rules as many as 24 rules and the defuzzification process using the centroid method that produces the level of activity of each is low, medium and high. Based on 173 lecturer activity data, the results of the Mamdani method indicates low 66%, medium 31%, and high 3%. While the Sugeno method produces a level of activity low 75%, moderate 17%, and high 8%. Therefore, Mamdani method is more suitable for the calculation because the spread of results is relatively evenly distributed at each level.
Estimations of Indonesian poor people as poverty reduction efforts facing industrial revolution 4.0
Authors: Wanto Anjar , Hardinata Jaya Tata 
Published: January 2020

Abstract
Indonesia is one of the developing countries that have serious problems with poverty. The still many poor people in Indonesia encourage the government to make and determine the right policies so that the problem of poverty can be overcome and not drag on. Therefore, the authors conducted this study to try to help the government conduct an analysis in predicting the level of development of the poor in Indonesia. The prediction method used is the Bayesian Regulation artificial neural network. This method is a development of the backpropagation method that is often used to predict data. The data used are data on poor people in Indonesia in 2012-2018, which are sourced from the Indonesian Central Bureau of Statistics. Based on this data a network architecture model will be formed and determined using the Bayesian Regulation method, including 10-5-10-2, 10-10-10-2, 10-10-15-2, 10-10-20-2, 10-15-10-2, 10-15-15-2, 10-15-20-2, 10-20-20-2, 10-25-25-2 and 10-30-30-2. From these 10 models after training and testing, the results show that the best architectural model is 10-25-25-2. The accuracy of the architectural models is 94.1% and 61.8% with MSE values of 0,00013571 and 0,00005189. The results of this study are the prediction of the poor for the next 5 years.