bluuebunny/crossref_metadata_2025_split huggingface dataset:
UTILIZATION OF EDUCATION MANAGEMENT INFORMATION IN DECISION MAKING
Authors: Hidayat Moch. Charis , Wahab Abdul 
Published: May 2019

Purpose of Study: The undeniable fact that information at this time has been viewed as a very potential resource. Infor- mation is the only source needed by a leader of an educational institution. Information can be processed from other sources that are influenced by very complex organizations and owned computer devices.
Methodology: Information processed using a computer can be used by an organizational leader and an individual with expertise as a means of communication and problem solving, as well as valuable information in the decision making the process.
Results: In general from the results of research that researchers do indeed the combination of human resources and infor- mation technology applications that are tried to apply have been done. But this is not an easy matter, of course, depending on the focus of the development of management information systems individually sees the needs that are needed now.
Implications/Applications: After studying and analyzing about the utilization of education management information sys- tem in decision making hence writer concludes that; first, decision making needs good information, second, irrelevant information will cause wrong judgment in making decision, third, the main basis of framework of information system utilization in taking decisions all information presented by the information system should be aimed at supporting certain phases of the decision-making process; fourth, the utilization framework of management information systems in decision making can also be used to assess an ongoing reporting system, fifth, decision making in education is an important part that should be done well by managers or other officials.
Modification of Growing Medium for Container Melon (Cucumismelo L.) Production Using Goat Manure and Dolomite
Authors: Handajaningsih Merakati , Hasanudin - , Saputra Helfi Eka , Marwanto - , Yuningtyas Ayu P. 
Published: May 2019

The growth of melon plant requires soil rich in organic matter, well drainage, and soil pH 6.0 - 7.0. The adverse conditions are found on mostly red-yellow podsolic of Ultisol. The objective of this research was to evaluate the application of goat manure and dolomite on growth and yield of melon. The research was held from June until September 2015 in Kandang Limun, Bengkulu City. Completely Randomized Design was arranged involving goat manure doses consisted of 0 kg polybag-1, 3 kg polybag-1, and 6 kg polybag-1. Another factor was that the dose of dolomite consisted of 0 g polybag-1 (0 tons ha-1), 100 g polybag-1 (2 tons ha-1) and 200 g polybag-1 (4 tons ha-1). Treatments were replicated three times; each experimental unit consisted of 4 polybags of plants. The result of this research revealed no interaction between goat manure and dolomite in affecting the vegetative growth of plants. The interaction between goat manure and dolomite was found affecting fruit weight, fruit diameter and the thickness of the edible fruit part. The highest values for fruit weight, fruit diameter, and edible fruit thickness were achieved on 3 kg polybag-1 goat manure and 200 g polybag-1 dolomite treatment, which were 725.25 g, 17.14 cm, and 2.99 cm respectively. Goat manure dose of 6 kg polybag-1 increased stem diameter (5.5 mm) and fruit sweetness (8.09 0Brix) compared to treatment without manure which was 5.43 mm and 7.31 0Brix.
An Improved Multi-layer Cooperation Routing in Visual Sensor Network for Energy Minimization
Authors: Ullah Arif , Nawi Nazri Mohd , Aamir Muhammad , Shazad Asim , Faisal Sundas Naqeeb 
Published: May 2019

Recent development on visual sensor networks (VSN) have shown the emergence of VSN as an important class of sensor-based distributed intelligent systems, with unique performance, complexity, and quality of service challenges. Furthermore, the popularity of VSN had attracted researchers and industries from many applications. Basically, VSN consists of a large number of low-power camera nodes, visual sensor networks support a great number of novel vision-based applications. The information provided by the camera nodes from a monitored site were collected data and processed in distributed and collaboratively. The use of multiple cameras in the network provides different views of the scene which enhances the reliability of the captured events. However, the cameras combined with the network's resource produce large amount of image data which require more energy consumption. Many research experts are working and publishing research papers on energy minimization in visual sensor network. However, there are no special attentions given by researchers on multi-layer cooperation routing in visual sensor network (VSN) particularly on the deficiency of forward-thinking innovation. This research proposed a new method that put forward the step and use (CO-VSN) multi-layer routing arrangement in visual sensor network. The performance of the proposed method is then compared with RASE protocol in different parameters and the result shows some meditation change in the stability of the network, increase the network life, reduce packet loss and energy drainage reduce in the VSNs. Even though, the RASE scheme used channel condition for movement of data and yet the proposed CO-VSN used cooperation and demonstrated better results.
Backpropagation Neural Network Based on Local Search Strategy and Enhanced Multi-objective Evolutionary Algorithm for Breast Cancer Diagnosis
Authors: Ibrahim Ashraf Osman , Shamsuddin Siti Mariyam , Saleh Abdulrazak Yahya , Ahmed Ali , Ismail Mohd Arfian , Kasim Shahreen 
Published: May 2019

The role of intelligence techniques is becoming more signiï¬cant in detecting and diagnosis of medical data. However, the performance of such methods is based on the algorithms or technique. In this paper, we develop an intelligent technique using multiobjective evolutionary method hybrid with a local search approach to enhance the backpropagation neural network. First, we enhance the famous multiobjective evolutionary algorithms, which is a non-dominated sorting genetic algorithm (NSGA-II). Then, we hybrid the enhanced algorithm with the local search strategy to ensures the acceleration of the convergence speed to the non-dominated front. In addition, such hybridization get the solutions achieved are well spread over it. As a result of using a local search method the quality of the Pareto optimal solutions are increased and all individuals in the population are enhanced. The key notion of the proposed algorithm was to show a new technique to settle automaticly artificial neural network design problem. The empirical results generated by the proposed intelligent technique evaluated by applying to the breast cancer dataset and emphasize the capability of the proposed algorithm to improve the results. The network size and accuracy results of the proposed method are better than the previous methods. Therefore, the method is then capable of finding a proper number of hidden neurons and error rates of the BP algorithm.
Development of Production Creativity among Craftsmen by Identifying Techniques for Characterizing Coconut Waste
Authors: Dumasari D , Darmawan Wayan , Iqbal Achmad , Dharmawan Budi , Santosa Imam 
Published: May 2019

The development of production creativity in handicraft micro-enterprises requires technical support. The primary mode of support is to identify the characteristics of the raw materials that make product design appear more creative, variation, and artistic. A right quality product can potentially increase profits. This knowledge transfer process has altered the behavior of craftsmen in Java, encouraging them to adopt coconut waste as a raw material. The location of this study was Purbalingga Wetan, Purbalingga District, Central Java Province. The study design was based on a participatory rural appraisal (PRA), with the application of both qualitative and quantitative approaches. It was found that the ability of respondents to identify coconut waste characteristics was crucial to improving product quality. The number of skilled respondents applying the technique increased significantly. The skilled respondents were able to identify traits based on the age, color, fiber pattern, visual form, thickness, texture, and fragility of coconut wood or shell. An understanding of all of these characteristics was essential to improve product quality. Skilled craftsmen choose good coconut waste can produce quality handicraft products. Quality handicrafts are produced with a variety of distinctive and artistic designs and motifs. The selling value of higher quality handicraft products significantly increases the income of craftsmen. The motivation and ability of craftsmen in the technique that identifies the characteristics of coconut waste needs to be continuously developed intensively. These efforts can be made through the willingness of craftsmen to share experiences. Another way is to increase the participation of craftsmen in training and demonstration of the characteristics of coconut waste as raw material for quality handicrafts.
High-Quality Wavelets Features Extraction for Handwritten Arabic Numerals Recognition
Authors: Akhtar M. Suhail , A. Qureshi Hammad , Al-Quhayz Hani 
Published: May 2019

Arabic handwritten digit recognition is the science of recognition and classification of handwritten Arabic digits. It has been a subject of research for many years with rich literature available on the subject. Handwritten digits written by different people are not of the same size, thickness, style, position or orientation. Hence, many different challenges have to overcome for resolving the problem of handwritten digit recognition. The variation in the digits is due to the writing styles of different people which can differ significantly. Automatic handwritten digit recognition has wide application such as automatic processing of bank cheques, postal addresses, and tax forms. A typical handwritten digit recognition application consists of three main stages namely features extraction, features selection, and classification. One of the most important problems is feature extraction. In this paper, a novel feature extraction approach for off-line handwritten digit recognition is presented. Wavelets-based analysis of image data is carried out for feature extraction, and then classification is performed using various classifiers. To further reduce the size of training data-set, high entropy subbands are selected. To increase the recognition rate, individual subbands providing high classification accuracies are selected from the over-complete tree. The features extracted are also normalized to standardize the range of independent variables before providing them to the classifier. Classification is carried out using k-NN and SVMs. The results show that the quality of extracted features is high as almost equivalently high classification accuracies are acquired for both classifiers, i.e. k-NNs and SVMs.
Identifying Key Factors Affecting Integrated and Sustainable Development of Red Onion Horticulture Cluster Area
Authors: Helmi - , Azhari Rafnel , Henmaidi - , Silfia - , Riyadhie Ibnu 
Published: May 2019

Sustainable development of small-scale horticulture farming is very much determined by how these farmings develop and organized into an integrated agriculture cluster area which aims at fulfilling human needs, equitable distribution of economic benefits, and participation of farmers and rural people in the dynamics of development. Indonesia has adopted it as policy but with limited evidence of successful implementation because of the ecosystem for agriculture cluster area development not yet existed. Despite the ecosystem not yet developed, small-scale farmers continue to manage their farming to support their livelihood. In this context, there is a need to develop an alternative enabling framework based on an understanding of the dynamics of horticulture farming. The objectives of this research are to understand the dynamics of the red onion horticulture farming, assessing key factors affecting farming management, and identify elements of a framework for developing integrated small-scale red onion farming cluster area based on the key factors identified. A mix research method was applied: an in-depth interview and survey. The results of the research indicated that the following key factors affecting the dynamics of small-scale red onion farming: (1) market, product distribution, and price fluctuation; (2) provision of agriculture extension services and consideration to use inputs; (3) existence and functionality of farmers’ group (organization); (4) source of capital and the used of financial service industry; (5) supports from government program; (6) infrastructures to support farming activities (in term of farms access road and water); (7) mutually beneficial synergy and partnership among the stakeholders; and (8) digital platform to facilitate interaction among stakeholders. These key factors would form the basis to develop an alternative framework for integrated agriculture are development.
Fuzzy Automaton as a Detection Mechanism for the Multi-Step Attack
Authors: Almseidin Mohammad , Piller Imre , Al-Kasassbeh Mouhammd , Kovacs Szilveszter 
Published: May 2019

The integration of a fuzzy system and automaton theory can form the concept of fuzzy automaton. This integration allows a discretely defined state-machine to act on continuous universes and handle uncertainty in applications like Intrusion Detection Systems (IDS). The typical IDS detection mechanisms are targeted to detect and prevent single-stage attacks. These types of attacks can be detected using either a common convincing threshold or by pre-defined rules. However, attack techniques have changed in recent years. Currently, the largest proportion of attacks performed, are multi-step attacks. The goal of this paper is to introduce a novel detection mechanism for multi-step attacks built upon Fuzzy Rule Interpolation (FRI) based fuzzy automaton. In that respect, the FRI method instruments the fuzzy automaton to be able to act on a not fully defined state transition rule-base, by offering interpolated conclusion even for situations which are not explicitly defined. In the suggested model, the intrusion definition state transition rule-base is defined using an open source fuzzy declarative language. On the multi-step attack benchmark dataset introduced in this paper, the proposed detection mechanism was able to achieve 97.836% detection rate. Furthermore, in the studied examples, the suggested method was able not only to detect but also early detect the multi-step attack in stages, where the planned attack is not fully elaborated and hence less harmful. According to these results, the IDS built upon the FRI based fuzzy automaton could be a useful device for detecting multi-step attacks, even in cases when the intrusion state transition rule-based is incomplete. The early detection of multi-step attacks also allows the administrator to take the necessary actions in time, to mitigate the potential threats.
Physicochemical and Sensory Properties of Pumpkin (Cucurbita moschata D) and Arrowroot (Marantha arundinaceae L) Starch-based Instant Porridge
Authors: Slamet Agus , Praseptiangga Danar , Hartanto Rofandi , Samanhudi  
Published: May 2019

Pumpkin is a potential source of vitamin A and antioxidant. Arrowroot starch as the source of carbohydrates contains a low glycemic index. However, the utilization of pumpkin and arrowroot starch as the source of food products is still limited. Both ingredients can be processed into nutritious food with practical servings. The objective of the research was to investigate the effect of pumpkin and arrowroot starch ratio and the rotation speed of the drum dryer on the physiochemical properties and the acceptability of the instant porridge. The various ratios of pumpkin and arrowroot starch in the study were 1:1, 2:1, 3:1, 4:1, and 5:1. The process of making instant porridge from pumpkin and arrowroot starch was using a drum dryer with a rotation speed at 1 and 1.5 rpm and a saturated steam pressure at 1 bar. The porridge yield was tested for physiochemical properties and acceptability. The variables of pumpkin to arrowroot starch and the rotation speed of the drum dryer affected the physical and chemical properties, and the acceptability of the instant porridge yielded. Based on amylograph characteristics, the instant porridge had amylograph profile type C, except on pumpkin and arrowroot starch in a ratio of 5:1 with drum dryer rotation speed at 1 rpm. The best and most acceptable instant porridge according to the panelists was obtained at the ratio of 5:1 with 1.5 rpm speed.
The Optimization of Temperature and Length of Extraction of Local Corn Silk Powder Using Response Surface Methodology
Authors: Haslina - , Praseptiangga Danar , Bintoro V.Priyo , Pujiasmanto Bambang 
Published: May 2019

Corn silk from female flowers consists of a group of stigmas that are smooth, soft, and look like threads and yellowish silk. Corn silk is rich in phenolic compounds, especially flavonoids and high natural antioxidant compounds. This content varies according to the corn varieties. Bisma variety is one of the many local corn varieties grown in Temanggung, Central Java. The first step in separating phenolic compounds is extraction with solvents. Methanol is one of the solvents that are often used in the extraction of phenolic compounds. Some of the contributing factors affect the rate and quality of extraction on the components of bioactive compounds, two of which are temperature and length of extraction. This study aims to determine the optimum condition of extraction of corn silk from local Bisma varieties using Response Surface Methodology. The experimental design used was factorial in the Randomized Block Design (RBD) with two factors and three replications. The local corn silk of the Bisma variety, 80% methanol solvent concentration and a ratio (1:20) were extracted with a length of extraction (60, 70, 80 and 90) minutes and a temperature of 40° C, 50°C, 60°C and 70°C. The extraction results from each corn silk were analyzed for chemical and phytochemical characteristics. The optimum condition for extracting corn silk powder was obtained at 40oC and the extraction time was 60 minutes. In this condition, chemical content produced is as follow: 0.80% of soluble fiber, 0.58% of insoluble fiber, 1.38% of total fiber, 2.36% of moisture content, 2.50% of ash content, 1.29% of fat content, protein content of 16.93%, and carbohydrate content of 78.20%, and phytochemical content were total phenol of 5342.45µg EAG / g, total flavonoids of 167.45µg EAG / g, beta-sitosterol of 996.53 ppm, antioxidant activity of 50.41 %.
Nonalkolik yağlı karaciğer hastalığı olan bireylerde fruktoz tüketiminin değerlendirilmesi
Authors: KUYUMCU Aliye , PÜRNAK Tuğrul , YILDIZ Emine Akal 
Published: May 2019

Aim: The aim of this study was to determine fructose-rich food
consumption levels of individuals with nonalcoholic fatty liver disease (NAYKH)
and to determine the possible relationship between biochemical parameters and
anthropometric measurements. Material and Methods: Individuals between 19-65 years of age with abdominal
ultrasonography (USG) with varying degrees of fatty tissue; mild steatosis
(grade 1, n=15), moderate steatosis (grade 2, n=15), severe steatosis (grade 3,
n=15) and no steatosis (grade 0, n=15). Nutritional status and 24-hour nutrient
consumption were recorded. Anthropometric measurements of individuals, some
biochemical findings, physical activity status and fructose-rich nutrition
status were investigated. Results: In this study, anthropometric measurements such as BMI, waist
circumference and waist/hip ratio increased with the increase in steatosis
degrees and were statistically significant (p&lt;0.001). At physical activity
level, there is no significant difference between groups (p=0,099).
Daily fructose intake with nutrients is the lowest in
grade 0; Grade 2 and Grade 3 groups have similar amounts and higher than other
groups (p&lt;0.001). The average daily consumption of fructose-rich
non-alcoholic beverages (soda and cola) was found to be at least in grade 0
(8.7 ± 5.7ml) and significantly higher in grade 3 (291 ± 33.5 ml), (p=0,001).
Furthermore, in the study individuals with fructose consumption ** BMI, **
waist circumference, * waist / hip ratio, * total cholesterol, ** uric acid, **
ALT, * AST, ** ALP, ** chocolate consumption amount, ** a significant positive
relationship was found between the consumption of ready-made fruit juice and
alcoholic beverages (* p &lt;0.05, ** p &lt;0.01).

Conclusion: In our study, there was a strong correlation between the degree
of steatosis and fructose consumption in individuals with NAYKH. It should be
kept in mind that excessive consumption of fructose with nutrients may pose a
risk for diseases such as obesity, non-alcoholic fatty liver, metabolic
syndrome and cardiovascular diseases. The consumption of fructose in daily diet
should be provided from natural sources and excessive consumption should be
avoided.
KOMUNIKASI POLITIK BERBASIS POLITIK IDENTITAS DALAM KAMPANYE PILKADA
Authors: Dhani Fitria Wulan 
Published: May 2019

ABSTRACT The campaign in the Local Election is a moment for political actors to carry out political communication to voters. Communicators in the campaign convey a message that invites voters to choose certain candidates. The communicator strategy in conveying campaign messages is by using identity politics in campaign material. This study aims to analyze more deeply how political communication based on identity politics develops in the election campaign, and what the impact of identity politics is in political life in Indonesia. This study uses qualitative methods and descriptive analysis techniques, collecting data through literature studies and online data search. The results of the study included the development of identity politics in campaigns that showed success in gathering voters' votes. However, on the other hand the politics of identity raises divisions in groups in society, unhealthy democratic systems, and shows the poor political education for the people and institutions of political parties.Keywords: Political Communication, Politics of Identity, Campaign of Election ABSTRAK Kampanye dalam pemilihan kepala daerah (pilkada) merupakan moment bagi aktor politik untuk melakukan komunikasi politik dengan pemilih. Komunikator dalam kampanye menyampaikan pesan yang sifatnya mengajak pemilih untuk memilih kandidat tertentu. Strategi komunikator dalam menyampaikan pesan kampanye yaitu dengan menggunakan politik identitas dalam materi kampanye. Penelitian ini bertujuan untuk menganalisis lebih dalam bagaimana komunikasi politik berbasis politik identitas berkembang dalam kampanye pilkada, dan apa dampak politik identitas dalam kehidupan politik di Indonesia. Penelitian ini menggunakan metode kualitatif dan teknik analisis deskriptif, pengumpulan data melalui studi literatur dan penelusuran data online. Hasil penelitian mencakup perkembangan politik identitas dalam kampanye yang menunjukan keberhasilan dalam mengumpulkan suara pemilih. Namun, di sisi lain politik identitas menimbulkan perpecahan kelompok di masyarakat, sistem demokrasi yang tidak sehat, dan menunjukan buruknya pendidikan politik bagi rakyat dan kelembagaan partai politik.Kata Kunci: Komunikasi Politik, Politik Identitas, Kampanye Pilkada