bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning Materials to Increase Spatial Ability of Senior High School Students
Authors: Mulyadi A , Yani A 
Published: June 2019

Abstract
There are five terms which are currently being discussed a lot to formulate their definitions, they are spatial intelligence, spatial ability, geography skill, geoliteration and ecoliteration. These terms are spoken by many people, but rarely explained the differences consistently. This research tries to identify or to be more exact suggests element or component of each terms and measuring one of spatial ability in everyday life. Research method that used was descriptive. Collecting data technique was by literature study, test, readibility test of learning materials. Sample technique that used is stratified random with the amount of sample 120 people. Based on research results, spatial ablity and geography skill can be increased normatively. Although this research only use learning materials to be read, but it was already proven to be helpful, especially if it is delivered through face-to-face meeting in the class, being practiced, and trained to students, the results will be more significant. Finally the researchers recommend that spatial ability and geography skill to be develop in case of preparing a generation that more positive in assesing the excellence of geography.
Test the Effectiveness of Biopore in the Framework of Eco-Campus Development at Universitas Pendidikan Indonesia
Authors: Setiawan I , Rohmat D 
Published: June 2019

Abstract
The purpose of this study was to test the effectiveness of biopore and to determine the number of biopore in the development of eco-campus UPI. The method used was experiments using biopore and infiltration engineering tools. The tool is placed on three test plots with different treatments, that is test plots placed in biopore holes but without grass, test plots only planted by grasses and biopore test plots and also planted with grass. Rainfall measurements were carried out for 19 days at the site of the test plot to determine the duration and volume of rain. The rainfall measurement results are then compared with the run off volume of each test plot. The results showed that biopore test plots with the highest effectiveness were biopore accompanied by grass plants. The calculation of the number of biopores around the piloting site at Faculty of Social Science Education of Indonesia University of Education is 28 biopore point. Therefore, in the development of eco-campus at Indonesia University of Education need to be considered biopore design that can increase the capacity of infiltration and reduce the run off. The number and distribution of biopore plots need to be considered, so their function can be more effective.
Development Methods for the Formulation of Community Empowerment-Based Oxbow Stream Utilization Models in Citarum River
Authors: Juliandar M , Rohmat D 
Published: June 2019

Abstract
Citarum River stretches wide and long through village and city lands with straight, winding paths, and meanders. In the meander section, sediment deposits occur which result in the stunted flow causing floods or overflowing water out of the river. To overcome this problem, river shortcuts were constructed to straighten the stream, which results in disconnected reaches called oxbow rivers. This study presents a method development of a community empowerment-based oxbow rivers utilization which taking a case study on one of the ten oxbow rivers located along the Citarum River. The selected oxbow river is the one that located in Cibarangbang, Baleendah Village of West Java province with a length of 860.36 m, 10 m width, river bank height of 4.97 m and area of 100 ha. The utilization of oxbows is aimed to address technical and socio-economic problems through either of these three main approaches: 1. oxbow river as a means of conservation/revitalization of rivers by maintaining the function of oxbow lakes as a water reservoir, e.g., by making an impoundment, an inlet and outlet structures, a maintenance road, etc; 2. utilizing the area for public infrastructure and facilities through land reclamation; 3. using the area as a tourism site.
The Implementation of Modern Irrigation to Improve the Farmer Welfare
Authors: Siahaan Y , Rohmat D 
Published: June 2019

Abstract
This study aims to formulate an action plan of modern irrigation at Cibinuangeun. Cibinuangeun is an irrigation area located in Banten Province, Indonesia. The area is situated in a sediment area, so the land is very fertile. Cibinuangeun priory irrigated 2.809 hectares area which was distributed in 10 villages. Unfortunately, due to the lack of water, the area is dropping off. It reduces into 1.786 hectare and is only distributed in 4 villages. As a result, it influences the rice field productivity. Basically, the rice field productivity reached 5.17 ton/ha. Nowadays, it decreases to less than 5 ton/ha. This is lower than Indonesia national irrigation productivity which should reach 7 ton/ha. This condition indirectly indicates that there are relationship between rice field productivity and land area. Ninety five percent of rice productivity is influenced by the land area, and only 5% influenced by other factors, such agriculture intensifications. This means that the heightening of 1 hectares area can increase 4.91 tons of DMR. If irrigation area is expanded into 2.809, it can gain 5.024 tons of DMR. The farming income also will increase from 56.6 billion rupiah to 68.65 billion rupiah. Therefore, the intensification needs to be done. One of them is through the improvement of irrigation infrastructure and EM organization.
Chaotic Analysis for Malaysian West Coast Sea Level: a Case Study of Kukup, Johor
Authors: Ali N M , Hamid N Z A 
Published: June 2019

Abstract
Sea level prediction is an important task for navigation, coastal engineering, geodetic application and recreational activities. Predicting the behavior of future sea level is necessary for protection of coastal as well as for monitoring and forecasting of changes in fishery and marine ecosystems. This study is focused on the analysis and prediction of hourly sea level time series data at the benchmark station located in Kukup, Johor by using chaotic approach. The aim of this study was to detect the presence of chaotic behavior by the phase space reconstruction and Cao methods, and also a local linear approximation method is employed for prediction purposes. The results revealed that the value of correlation coefficient between the observed and predicted time series is 0.879 which is near to one. This indicates that the local linear approximation method can be used to predict the sea level time series in Malaysia. Indeed, the result of this study is expected to help stakeholder such as Department of Survey and Mapping Malaysia (JUPEM) in having a better sea level management.
Resident’s Perception on Foreign Workers Housing in High Rise Residential Building
Authors: Suratman R , Samsudin S , Aminuddin S Z , Saim Z 
Published: June 2019

Abstract
High rise residential building has become a norm in the urban areas. In Malaysia, more than 30% of the urban population is currently living in stratified buildings, especially where urban land is scarce and expensive. Moreover, despite of landscape change and urbanisation process, there are several high rise properties in urban area that have been converted into foreign workers housing. It may affect the local communities and have a positive and negative impact to the social neighbourhood sustainability. Therefore, this study focuses on the residents’ perceptions of foreign workers housing on social aspects, and qualitatively finds the action taken by building management body in addressing the issues. The study was located at the one of high rise properties in Klang Valley, namely Mandy Villa Apartment. The questionnaire and semi-structured interviews were the techniques employed to collect data, and the findings revealed the problems affecting the comfort and quality of living among strata residents. In this sense, the management has taken several actions to solve the problems, therefore, the stakeholders have to oversee the misuse of strata unit for future sustainable living in the urban area.
GNSS Processing Data Result with Sequential Adjustment Method to Estimate the Monitoring Control Point Coordinate at Sermo Dam
Authors: Affriani A R , Widjajanti N , Yulaikhah  
Published: June 2019

Abstract
Monitoring a structure building like a dam needs to detect any movement. The movement can be measured by adding control point to measure it. Geodynamic movement, expansion of area monitoring, and detection of ground cracks require by adding the new of control points. The addition of control points in a measurement requires specific data processing strategy. Therefore, it used the sequential adjustment method. This research aims to identify 3D coordinate values and the difference precision of the control points from the sequential adjustment method. The first step of sequential adjustment used five control points with one point considered fixed. The second step was added with five control points. The difference of coordinate precision analysis using sequential adjustment method indicates that there are increased precision in five control points which are processed in the first step. The addition of the coordinate precision ranges from 0,193 to 5,450 cm. Based on the comparative of two variants sample test shows that the precision of coordinates resulted for the first step is significant different from the second step. The results of the comparison between two variants test indicate that the precision of the result in first step does significantly different to the second step.
Linear Spectral Mixture Analysis Land Cover for Assessment Level Subpixel: A Case Study of Tasikmalaya City Area Based on Landsat Imagery
Authors: Ridwana R , Danoedoro P , Herumurti S , Himayah S , Ihsan M , Arrasyid R , Urfan F 
Published: June 2019

Abstract
Land cover in urban areas can be detected through surveys or using high-resolution imagery with a better accuracy. Especially if the need related to land cover information regionally in the period of the nineties that require the availability of data and unavailability of high resolution images. Therefore, images with intermediate spatial resolution are still required. However, the use of medium-resolution images such as Landsat is constrained by the presence of mixed pixels that cause land cover in urban areas to vary. The mixed pixel will be the source of error in the multispectral classification process, so it takes analysis up to the subpixel level. The need for information up to the subpixel level for ground cover detection can be obtained through the Linear Spectral Mixture Analysis method, where one pixel in the Landsat image in this study will be separated into four endmember, ie vegetation, impervious surface, bare soil, and water. These four endmembers are assumed to represent linear combinations of land coverings contained in urban areas in the form of proportions in each pixel. The results show that the endmember can be well separated, whereas the RMS error of 1994th is 0.013 with an accuracy of 94.44%.
An Overview on Overvoltage Phenomena in Power Systems
Authors: Othman N S , Rohani M N K H , Mustafa W A , Wooi C L , Rosmi A S , Shakur N F M , Juliangga R , Khairunizam Wan , Zunaidi I , Razlan Z M , Shahriman A B 
Published: June 2019

Abstract
Overvoltage happens in a condition where the voltage is increased and exceed its design limit. This situation may lead to harmful damage to machines or related equipment that connected to the system. Overvoltage can exist in a form of transient, voltage spike or permanent, depending on its duration. Types of overvoltage consist of lightning overvoltage and switching overvoltage. Overvoltage that caused by lightning is considerate as natural phenomena, while switching overvoltage exists from the system itself, either by the interruption of faults or inappropriate connection of circuit breaker contacts. This paper is discussed about overvoltage phenomenon including causes and effects of overvoltage and overvoltage protection towards power system.
Distributed Online Averaged One Dependence Estimator (DOAODE) Algorithm for Multi-class Classification of Network Anomaly Detection System
Authors: Nawir Mukrimah , Amir Amiza , Yaakob Naimah , R.Badlishah Ahmad , Mat Safar Anuar , Mohd. Warip Mohd. Nazri , Zunaidi I 
Published: June 2019

Abstract
Network monitoring system consists of large data streams, distributed architecture, and multiple computers that are geographically located all over the world caused a difficulty to detect abnormalities in the system. In addition, when handling network traffic, the data in network is fast incoming and requires an online learning where immediately response and predict the pattern of network traffic for classification once there is an event or request occur. Therefore, this paper aims to develop an effective and efficient network anomaly detection system by using distributed online averaged one dependence estimator (DOAODE) classification algorithm for multi-class network data to overcome these issues. The finding of DOAODE algorithm for multi-class classification is high in accuracy with average 83% and fast to train the network traffic recorded less than ten seconds and takes shorter time when the number of nodes increases.
Automated Chicken Weighing System Using Wireless Sensor Network for Poultry Farmers
Authors: Lee C.C. , Adom A.H. , Markom M.A. , Tan E.S.M.M. 
Published: June 2019

Abstract
In recent years, in the quest for cost-effective operations, slower than expected chicken growth has become a big issue for the poultry farmers in Malaysia. To be profitable, the chickens need to reach 1.8kg in only 38 days from hatching. At present, the farmers manually check the weight of chickens twice a day, in the morning and evening, to monitor the growth rate of chickens. However, the workers in such farms do not weigh the chickens according to an established SOP, which in turn results in inaccurate growth-rate data obtained. This paper describes the development of an automated chicken weighing system using wireless sensor network (WSN) for poultry farmers to replace the manual approach. The weighing scales are equipped with wireless data transfer system to enable automatic data transfer to the Cloud using a Wi-Fi module. The data collected are then compared to the expected growth rates and used to monitor of the growth rate of chickens. The proposed growth rate monitoring system enables them the daily monitoring of the chicken development rate and enables the rectification of problems as soon as any discrepancies are detected. Problems such as insufficient or poor distribution of feed and the occurrence of disease can be rectified at an early stage.
High Gain of Directional Ultra-Wideband Array Antenna Using Flat Reflector Structure for Microwave Imaging
Authors: Aminudin Jamlos Mohd , Mustafa W A , Khairunizam Wan , Zunaidi I , Razlan Z M , Shahriman A B 
Published: June 2019

Abstract
UWB array antenna with high gain is proposed. The 4 × 1 array antenna consists of four identical copper circular patches are appropriately connected using quarter-wavelength transformer transmission line. The array elements and its feed network are properly optimized to have a high gain performance over wide range bandwidth frequencies. New additional flat reflector with distance of 20 mm enhances the proposed antenna gain. UWB antenna performance with reflector is better than UWB antenna without reflector structure. Antenna with reflector recorded wider operated bandwidth; 1.9GHz-10.6GHz with higher gain ranged from 3.5dB until 14.2dB compared with without reflector antenna operated from 2.2GHz to 10.6GHz with lower gain ranges of 1.9dB to 9.8dB. The reflector structure enhanced the antenna gain by 50% where the average gain throughout operated frequency for antenna with reflector and antenna without reflector is 10.2dB and 6.8dB respectively. Dimensions of 80 mm × 45 mm is considered as small UWB array antenna. The high gain and wide operator bandwidth of proposed antenna finds it very suitable to be integrated in human brain microwave imaging system due to ability of the wide signal with high energy penetrating human head structure.
Geometrical and mechanical performance of multi-material fused deposition modelling
Authors: Alief N A , Utomo M S , Kartika I , Whulanza Y 
Published: June 2019

Abstract
One method that has been used on additive manufacturing process is fused deposition modelling (FDM). This method employs material extrusion in the form of filament to build a product. Several materials have been developed as the filament, each with its own mechanical, chemical, and thermal properties. Certain FDM machines are capable to print filaments from different materials. Although, each materials require different printing parameters. Consequently, different geometrical and mechanical properties from same design may be produced from their different printing parameters. Therefore, in order to obtain the characteristic of FDM machine output on multi-material, a comparative study is conducted. Lattice structures constructed from 3D CAD model with difference in pore configuration are printed by different filament materials on same FDM machine. We investigate the geometrical and mechanical properties of the structure, especially on the capability of the lattice structure to bear compressive load. There are 42-53% of pore dimension difference between the printed structure and the design despite material variation is used for each pore configuration.
Study on Quality Parameters of Yellow Matoa Fruit (Pometia pinnata) Using Digital Image Processing
Authors: Furay A. , Ahmad U. , Widodo S. 
Published: June 2019

Abstract
At this time matoa fruits are sold without grading them first so high and low quality fruits are mixed. In addition to not having SNI, there is also no standard method for grading according to standardization of fresh horticultural products. Related to this issue, digital image processing can be used as an alternative method for grading. The purpose of this study were to study quality parameters and to develop quality evaluation method for yellow type matoa using digital image processing. Manual measurement using weight as quality parameter of 203 yellow matoa produced three categories of quality classes namely A, B and C. Image processing algorithm was then developed to replace the manual measurement by estimating the weight using projected area of fruits image and to measure skin color of the fruits. The overall accuracy of quality evaluation based on weight using developed algorithm was 73.89%. For quality evaluation based on visual parameter or skin color represented by red and blue color ratio (R/B), and hue and value (H/V) color ratio, it was found possible to classify the fruits into three quality classes namely class 1 (brown to yellow-brown), class 2 (yellow), and class 3 (yellow-green to green) with overall accuracy of 74.38%. Finally, using combination of those two parameters (i.e. area and skin color) nine new quality classes, namely A1, A2, A3, B1, B2, B3, C1, C2, and C3 classes were obtained with overall accuracy of 52.71%.
Stacked Stepped-Fed Super Wideband Antenna Performance in Free Space and Liquid Medium for Biomedical Applications
Authors: Aminudin Jamlos Mohd , Mustafa W A , Khairunizam Wan , Zunaidi I , Razlan Z M , Shahriman A B 
Published: June 2019

Abstract
A new design of compact Super Wideband (SWB) antenna for performance comparison between in free space and in plain water is presented in this paper. The proposed antenna consists of basic circular patch as radiating element associated with partial ground and a zinc reflector to realize high gain and wide bandwidth. Dimension of 20 mm × 30 mm made the proposed antenna as a compact antenna. The significant feature of this design is the cautious manufacturing of the feed line with additional of two microstrip lines between the patch and the feed line known as stepped transmission line that altering the capacitance between the radiating element and the ground plane. The patch is directly connected with SMA connector using 50 Ohm mirostrip feed line through side feeding and deploy the air gap stacked. The antenna exhibit high performance in free space indicated by operated frequency ranged from 4.3 GHz until more than 15 GHz (<-10dB) with maximum gain of 9.79 dB. On the other hand, plain water medium degraded the antenna performance yet still within acceptance limit associated with resonant frequency ranged from 4.7 GHz until more than 15 GHz (<-6dB) and 2.2 dB for the maximum gain. The results reflect the reliability of the SWB antenna operated within liquid medium for various related applications especially for biomedical related applications such as microwave imaging for cancer detection.
Image Enhancement Based on Discrete Cosine Transforms (DCT) and Discrete Wavelet Transform (DWT): A Review
Authors: Azani Mustafa Wan , Yazid Haniza , Khairunizam Wan , Aminuddin Jamlos Mohd , Zunaidi I , Razlan Z M , Shahriman A B 
Published: June 2019

Abstract
Image enhancement is an important topic in image analysis in order to help humans and computer vision algorithms to obtain an accuracy information for analysis. The visual quality and certain image properties, such as brightness, contrast, signal to noise ratio, resolution, edge sharpness, and colour accuracy were improved through the enhancement process. The goal of image enhancement is to improve the quality of an image to become more suitable for a particular application. Till today, numerous image enhancement methods have been proposed for various applications and efforts have been directed to further increase the quality of the enhancement results and minimize the computational complexity and memory usage. In this paper, an image enhancement method based on Discrete Cosine Transforms (DCT) and Discrete Wavelet Transform (DWT) was studied. This paper presents an exhaustive review of these studies and suggests a direction for future developments of image enhancement methods. Each method shows the owned advantages and drawbacks. In future, this work will give the direction to other researchers in order to propose new advanced enhancement techniques.
Prediction of Color Level and Chlorophyll Content of Corn (Zea mays L.) Leaves by Using Mobile Phone Cameras
Authors: Astika I W , Khayati N N 
Published: June 2019

Abstract
This study aimed at designing a method to determine color level of corn leave and to estimate chlorophyll content using mobile phone cameras. The image of the leafs are captured with hand phone camera, and then the R, G, B color components are extracted. Four levels of color levels were used as those of leaf color card issued by IRRI. As for the natural light compensation, the colors of the Indonesian national inhabitant ID card were used as color references. The leafs were placed on the ID card, captured together, and then the leaf color level is determined by the variation of the grey levels of the leaves and the color references. The chlorophyll content were measured with SPAD chlorophyll meter. The average accuracy of leaf color prediction were 81.48% for sweet corn and 76.82% for hybrid corn under various field luminance, while the accuracy were 94.45% under a fixed 1500 lux luminance. The accuracy of chlorophyll prediction was very low with and R2 = 0.4762 for sweet corn and R2 = 0.5284 with national ID card references for hybrid corn. This low results were relatively contrast with the prediction from manual measurement of leaf color level, where the correlation coefficients were R2 = 0.8466 for sweet corn and R2 = 0.8506 for hybrid corn.