bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of Hazard Rate Functions of Log-Normal Distributions
Authors: Kurniasari D , Widyarini R , Warsono  , Antonio Y 
Published: October 2019

Abstract
Distribution of Survival Analysis categorized in three functions those are: survival function, probability density function, and hazard rate function. Hazard rate function is used to analyze extreme value from a probability model of a distribution. One of the interesting distributions is log-normal distribution which is used for modeling of maintenance of a system. To analyze characteristics of hazard rate function of log-normal distribution, the Glaser method approach is used. The results are log-normal distribution have three hazard rate patterns those are increasing, decreasing or upside-down bathtub (∩).
Implementation of Dynamic Mutual Information and Support Vector Machine for Customer Loyalty Classification
Authors: Sulistiani H , Muludi K , Syarif A 
Published: October 2019

Abstract
Fast Moving Consumer Goods (FMCG) is known one of the important industrial sectors worldwide. It includes household and personal care products as well as processed foods and beverages. Because of the tight competition company must develop good marketing strategies. So, it is important for the company to know customer loyalty and also to predict the income as reference in company development planning. Data mining now is becoming popular technique for predicting customer loyalty. One of the well known data mining strategies is retaining customer’s strategy. In this paper, we would present a new model for predicting customer loyalty. The model is based on Dynamic Mutual Information and Support Vector Machine (DMI-SVM) to identify the relevant factors that affect the performance of the classification of customer loyalty. The comparison of two classification methods and several selected features is given to show the effectiveness of the methods. We validated the model by 10-fold cross validation method. Classification accuracy, precision, recall and f-measure are used to evaluate classifier performance on a test/hold-out sample. A result in this paper is shown that SVM method gives better performance accuracy than Naïve Bayes.
E-crm Information System for Tapis Lampung SMEs
Authors: Damayanti  , Warsito  , Meilinda  , Manurung P , Sembiring S 
Published: October 2019

Abstract
Companies must have a strong competitive strategy in the market in meeting customer needs, it is necessary an information system that applies the method of customer relationship management. Target for this research were SMEs Tapis in Lampung Indonesia. Tapis Lampung is one of the clothes used in Lampung Indonesia culture. Tapis Lampung must be introduced and disseminated, not only in Indonesia, but in overseas. Problem in this study is product orders are still coming directly to the location and via telephone, as well as product marketing through Instagram media. Orders are recorded in the book, so that data processing is less effective and efficient. There is no consumer database to see the number of existing customers, do not yet have communication and service good to consumers. The purpose of this study is to produce an information system application program using web-based E-crm method which is a strategy to increase sales, expand marketing and improve services to consumers. The application of web-based CRM methods in Tapis Lampung SMEs is important so that they can open sales opportunities globally, and have a good relationship with consumers because they can provide services to consumers that are more effective and efficient.
Evaluation of Commercial Feed Replacement Fermented Local Food Mixed on Performance of Male Local Duck
Authors: Septinova D , fathul F , Santosa P E 
Published: October 2019

Abstract
This study aims to determine the effect of mixing of fermented feed ingredients with EM4 on feed consumption, body weight gain, feed covers, and income over feed cost. The materials were 40 Mojosari male ducks, commercial feed plus mixed feed ingredients of oil palm carnel cake, cassava sludge, and rice bran (80:10:10). Experimented is arranged in Completely Randomized Design with five treatments and four replications. The treatments were T0 (100% commercial feed), T1 (95% commercial feed + 5% fermented local feed mixed), T2 (90% commercial feed + 10% fermented local feed mixed), T3 (85% commercial feed + 15% fermented local feed mixed), and T4 (80% commercial feed + 20% fermented local feed mixed). Analysis of variance were conducted followed by Turkey test. The result showed that fermented local feed mixed until 20% in commercial feed has no negative effect (P>0,05) on feed consumption, body weight gain, feed conversion, and income over feed cost. The treatment of fermented local feed mixed was safe for Mojosari male duck.
The Implementation of Simple Additive Weighting (SAW) Method in Decision Support System for the Best School Selection in Jambi
Authors: Ibrahim A , Surya R A 
Published: October 2019

Abstract
Jambi Education Office, is a government institution located in the city of Jambi which is one of the government institutions engaged in education. It serves all existing schools in Jambi. In the process of selecting the best schools, there are many obstacles facing the educators; the condition of the building and the facilities at the school. This happens because of the number of schools located in Jambi. Therefore, not all schools will be the best schools; only those which meet the criteria will be the best school. It can be done by through the processing of decision support system using a method called Simple Additive Weighting. This system can be used to determine which schools are eligible to be the best schools in Jambi. The utilization of decision support system with Simple Additive Weighting method can determine the weight value for each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives. In this case, the intended alternative is the right ones to become the best schools based on the specified criteria.
Semantic SLA for Selecting SAAS ERP
Authors: Hijriani A , Sarno R 
Published: October 2019

Abstract
Service Level Agreement (SLA) is a contract between a service provider and a service consumer. It consists of quality of service (QoS) property and the business properties. In a business environment using Software as a Service (SaaS), SLA and QoS play an essential role in their promising service performance. In this case, the attributes of QoS specified in SLA should show the non-functional attributes of a web service; yet, there, so far, have not been any QoS statement in web service definition language (WSDL) file. This research proposes the selection of SaaS ERP based on the semantic SLA developed using ontology. Analytic Hierarchy Process (AHP) method is employed to establish the rank of a tenant’s SLA. Subsequently, to create the rank of SLA which has the same AHP scores, the weighted tree algorithm is used. The results show that the combined method (AHP-Ontology) can provide precision reaching at 0.792, better recall at 0.795 and better f-measure at 0.793. Also, the best accuracy result through this method can reach 86.23%, better than AHP-Euclidean method - only reaching the best accuracy level at 59.03%.
k-Nearest Neighbor (k-NN) Classification for Recognition of the Batik Lampung Motifs
Authors: Andrian R , Naufal M A , Hermanto B , Junaidi A , Lumbanraja F R 
Published: October 2019

Abstract
Batik is a famous name of a traditional fabric from Java. It has been admitted as one if the traditional cultural heritage of Indonesia by UNESCO since October 2nd, 2009. Over the time, Batik is copied and modified by many regions in Indonesia resulting some new unique motifs. Batik Lampung is an sample of them. This paper deals with the k-Nearest Neighbor classification of the motifs (pattern) of the Batik Lampung. The known motifs of Batik Lampung consist of Jung Agung, Siger Kembang Cengkih, Siger Ratu Agung, and Sembagi. The original image samples are stored in RGB. They are firstly resized into 50 x 50 pixels and then converted to grayscale image. To recognize them, the Gray Level Co-Occurence Matrix (GLCM) feature is extracted and k-Nearest Neighbor (k-NN) with values of k = 3, 5, 7, 9, 11 and orientation angle of 00 450, 900, 1350 is applied to classify the motifs. The best accuracy is achieved at the rate 97,96% for k = 7 and angle1350.
Develop tools and softwares for the assessment of ethnic minority Vietnamese primary school students
Authors: Thanh Quy Ngo Thi , Thu Thuy Nguyen Thi , Ngoc Anh Tran Thi , Quoc Dao Kien 
Published: October 2019

Abstract
Language education has been considered a crucial issue by many countries and there have been studies on this area. By applying research achievements in the modern language of the world, this article focuses on the issue of Vietnamese language education for ethnic minority students at primary schools in Northwest Vietnam by a set of standards, tools and assessment software. In order to handle the problem, we use a mixed method in the study of the social sciences and humanities together with quantitative and qualitative research methods. We survey some typical primary schools in which ethnic minorities are living and studying, such as Thai, Muong, Dao, Mong, and Tay ethnic groups. After that, we develop a set of standards, tools and Vietnamese language proficiency assessment software for ethnic minority students in the Northwest of Vietnam. The data, which is composed of four skills including reading-writing-speaking-listening with a total score of 100, is designed by a software that has both online and offline features. Our team made an experimental research with 5000 test times. The research results will contribute significantly to the enhancement of Vietnamese language proficiency for ethnic minority students in the Northwest region of Vietnam in particular and those who learn Vietnamese as a second language in general.
Needs Assessment for the 21st Century Teaching and Learning in STEM Education to Promote Students’ Problem Solving in Thailand
Authors: Kinboon Wutcharapong , Sanghuaypai Supphachai , Nantachukra Artha 
Published: October 2019

Abstract
The purposes of this study were 1) to investigate the current issues and the needs for the 21st century teaching and learning management in science and technology based on STEM education to solve issues in schools under the Office of Khon Kaen Primary Education Area 4, 2) to study the human resource development methods to enhance technology knowledge and skills to apply in solving science learning issues in schools by adopting STEM education approach, and 3) to propose the guidelines to support information technology and educational management based on STEM education. The population used in this study was a total of 2,185 teachers and staff in educational institutes under the Office of Khon Kaen Primary Education Area 4 in the academic year 2018. The 445 samples were selected by using cluster purposing sampling technique. The research tools used in this study were semi-structured questionnaire with 5-Likert scale questions divided into 2 parts: general information of respondents in the first part and open-ended questions in the second part asking the respondents’ suggestions on future development of educational management. Data were analyzed by using descriptive statistics, percentage, mean, and standard deviation. The interpretation was also used in the content analysis. The findings in the study are as follows: 1) Behavioral abilities related to the technology adoption to solve science learning management issues were found in 5 aspects, including seeking, using, collecting, selecting, and writing information skills. From the overall behavioral assessment, the level of knowledge in technology and technology skills for communication was found at a high level (X = 4.52, S.D. = 0.66).2) The human resources development methods to enhance and apply technology knowledge and skills in solving science learning issues in schools were effectively implemented by adopting STEM education approach. The technology used in science learning issues should be verifiable, adaptable, and up-to-date. 3) The guidelines developed the teachers’ and staff’s knowledge and skills of information technology, which in turn, supported educational management based on STEM education effectively in practice.
Implementation of ecovillage values model as Mandiri village and environmental culture in the community of Sukasari Kidul village district of Argapura, regency of Majalengka
Authors: Hidayat M , Kembara M D , Logayah D S 
Published: October 2019

Abstract
Daily human life on the face of the earth is influenced and affects the surrounding environment. Sometimes people feel free to live and apart from the support of the surrounding environment. Therefore, it is appropriate for us in our daily lives to need to maintain and manage the environment. Especially in various development programs that have the main goal of increasing the level of human welfare that needs to be supported by economic capital, social capital and natural capital as well as the environment or ecosystem. Development can be seen as planned efforts to change human culture. Changes in the social system of local communities can also cause changes to the ecosystem. The ecovillage concept aims to change the mindset of society in changing behavior to be more concerned about the environment. The potential possessed by Sukasari Kidul Village is agricultural and plantation products.
The effect of season on farmer’s purchasing of liquid leaf fertilizers
Authors: Purnomo D , Dukat D , Atmaja I S W 
Published: October 2019

Abstract
This aim of this research is to analyse the effect of planting season factor on the purchasing intensity of liquid leaf fertilizer products by onion farmers in Brebes, Central Java Indonesia. This research was conducted by using a survey approach through interviews of 100 respondents of onion farmers on April until May 2017. The effect of planting season factor on the purchasing of liquid leaf fertilizer on the purchasing intensity were analysed by using t-independent sample test and dummy regression analysis. The result shows that intensity of the use of liquid fertilizer was affected by the planting season. The purchasing intensity of liquid fertilizer products by the farmers in wet season (10.26 litter ha-1) was higher than the dry season (4,81 litter ha−1)
The correlation of mother’s knowledge as a risk factor for preterm delivery, study in: Puskesmas Pamitran, Pekalangan, Astanagarib, and Pulasaren in Cirebon City
Authors: Putri D , Pratamawati T M , Affandi T 
Published: October 2019

Abstract
Preterm birth is a birth that takes place less than 37 weeks. The incidence of preterm birth is still quite high, with the number of preterm birth Estimated and around 15 million every year in the world. This study aims to determine the relationship between mother’s knowledge as a risk factor of preterm birth in Puskesmas Pamitran, Pekalangan, Astanagarib, and Pulasaren Cirebon. This research is Descriptive and Analytic using Case Control design. The population of this study were mothers with a history of preterm birth at Puskesmas Pamitran, Pekalangan, Astanagarib, and Pulasaren Cirebon City in 2015-2016. The description of mother’s knowledge with birth history of preterm in good category is 17 (89,5%) and less category is 2 (10,5%) and mother’s knowledge with normal birth history mostly in good category that is 31 (81,6%) and less as much as 7 (18,4%), maternal birth history mostly normal. The result using Chi-square correlation obtained Pvalue of 0.703, it can be concluded that no relation between mother’s knowledge to the risk of preterm birth in Puskesmas Pamitran, Pekalangan, Astanagarib and Pulasaren in Cirebon. No correlation between mother’s knowledge as risk factor of preterm birth in Puskesmas Pamitran, Pekalangan, Astanagarib and Pulasaren in Cirebon City.
Tannin treatment for protecting feed protein degradation in the rumen in vitro
Authors: Arisya W , Ridwan R , Ridla M , Jayanegara A 
Published: October 2019

Abstract
This experiment was conducted to evaluate the effect of tannin extract addition for protecting feed protein from microbial degradation in the rumen in vitro. Design of experiment employed a factorial 5 × 2 randomized complete block design with 3 replicates. The first factor was tannin extract addition, i.e., control without tannin (T0), addition of 2% tannic acid (T1), addition of 2% tannin chestnut (T2), addition of 2% tannin extract from Calliandra calothyrsus (T3), and addition of 2% tannin extract from Clidemia hirta (T4). The second factor was two feed ingredients rich in protein contents, consisted of soybean meal and Indigofera zollingeriana forage. Results showed that there was no interaction between tannin treatment and different protein sources. Tannin addition from various sources significantly decreased degradation of dry matter and rumen degradable protein (P<0.05), but had no significant effects on pH, dry matter digestibility and crude protein digestibility. Comparing among different tannin sources, the best tannin to protect protein degradation was chestnut tannin. Indigofera zollingeriana forage had higher undegradable protein than soybean meal after being added with tannin (P<0.05). It can be concluded that tannin treatment is able to reduce feed protein degradation.
Assessing the time-sensitive impacts of energy efficiency and flexibility in the US building sector
Authors: Satre-Meloy Aven , Langevin Jared 
Published: October 2019

Abstract
The building sector consumes 75% of US electricity, offering substantial energy, cost, and CO2 emissions savings potential. New technologies enable buildings to flexibly manage electric loads across different times of day and season in support of a low-cost, low-carbon electric grid. Assessing the value of such technologies requires an understanding of building electric load variability at a higher temporal resolution than is demonstrated in previous studies of US building efficiency potential. We adapt Scout, an open-access model of US building energy use, to characterize sub-annual variations in baseline building electricity use, costs, and emissions at the national scale. We apply this baseline in time-sensitive analyses of the energy, cost, and CO2 emissions savings potential of various degrees of energy efficiency and flexibility, finding that efficiency continues to have strong value in a time-sensitive assessment framework while the value of flexibility depends on assumed electricity rates, measure magnitude and duration, and the amount of savings already captured by efficiency.
Large-scale pasture restoration may not be the best option to reduce greenhouse gas emissions in Brazil
Authors: Batista Evandro , Soares-Filho Britaldo , Barbosa Fabiano , Merry Frank , Davis Juliana , van der Hoff Richard , Rajão Raoni G 
Published: October 2019

Abstract
Cattle ranching accounts for 44% of the greenhouse gas (GHG) emissions from the land use sector in Brazil. In response, Brazil has proposed a massive pasture restoration program that aspires to make ranching more competitive while at the same time reducing associated GHG emissions. Pasture restoration, however, is only one of several intensification options that could be employed to achieve these goals. Here we analyze potential production, economic return and GHG emissions from an intensification strategy based mainly on pasture restoration and compare its productive, economic and GHG emissions performances with intensification options more focused on supplemental feeding (grain-feed supplementation of grazing animals and animal finishing in feedlots). To this end, we developed a multi-sectoral, deterministic simulation model of the ranching system and applied it to Mato Grosso state, the largest producer and earliest adopter of intensive production. To account for GHG emissions, we performed a life cycle analysis of a complete beef production cycle. Our results show that an intensification strategy focused more heavily on pasture restoration does reduce GHG emissions but produces the least favorable economic and GHG emissions outcomes when compared with a range of supplemental feeding alternatives. In view of these results, Brazil should seek a more diversified strategies for cattle intensification in its climate mitigation policy.
The Role of Rumen Fluid as A Source of Methanogenic Bacteria on Coalbed Methane Activation
Authors: Marlina E T , Ardiansyah Y , Kurnani T B A , Hidayati Y A , Rahmah K N , Joni I M , Harlia E 
Published: October 2019

Abstract
CBM is highly potential as a source of renewable energy that can be activated with methanogenic bacteria. The rumen content is a waste of slaughterhouse can be utilized as a source of methanogenic bacteria. The aims to study the role of rumen fluid as a source of methanogenic bacteria in activating coal bed methane. Descriptive research method using 2 types of media consist of standard media (A) and enriched media (B). The application of rumen fluids for CBM activators are lignite, sub-bituminous, and bituminous coal in biogenic fermentation. The inoculum dose was observed at levels 6% of rumen media. The technique for counting microbes is through Total Plate Count in anaerobic Hungate tube. VFAs production was measured by titration method and methane production was analysed by gas chromatography (GC). All of parameter observed was measured on days 0, 2, 10, and 15. The highest number of anaerobic bacteria was found on day 10 and methane production was found on day 15. The highest production of VFA and methane occurred in biogenic fermentation of lignite. The results showed that the contents of rumen have the potential for the activation of coal bed methane in biogenic fermentation.
The Potency of Anredera cordifolia as Botanical Pesticide for Sustainable Blast Disease (Pyricularia oryzae) Management on Paddy
Authors: Yulia E , Widiantini F , Kurniawan W , Berliani I 
Published: October 2019

Abstract
Blast disease (Pyricularia oryzae) is one of the most important diseases of rice that can significantly reduce paddy production. This disease causes a potential loss of 3.65 tonnes/ha with loss percentages ranging from 60-100% if the disease is not handled properly. In spite of the issue of the negative effects of synthetic pesticide usage, the blast disease is commonly controlled using synthetic fungicides. Therefore, the exploration of potential botanical pesticides may provide safer and environmentally friendly blast disease management. This study aimed to test the potential of binahong plant (Anredera cordifolia) as botanical fungicide to inhibit the growth of P. oryzae and the development of blast disease in laboratory testing. The experiments were arranged in a Completely Randomized Design (CRD) consisting of 7 treatments of 5 extract concentrations and 2 controls. All treatments were repeated 5 times. The effectiveness of binahong leaf extract in controlling the pathogen and the disease was tested using poisoned food technique and detached leaf assay. The binahong leaf extract tested in the concentration range of 0.25-2% showed the ability to inhibit the growth of P. oryzae with the highest colony growth inhibition of 25.11%. Characteristics of P. oryzae mycelium and colony in the binahong leaf extract treatment were different from the control treatment. The treatment of paddy leaves with binahong leaf extract suppressed the blast disease development through the lessening of diseased paddy leaf area percentages. This study indicates the potency of binahong leaf extract for sustainable rice blast disease management.