bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lagi in Standard Malaysian Malay
Authors: Chung Siaw-Fong 
Published: June 2019

Abstract

Lagi, a less studied Malay adverb, has meanings such as ‘in addition’, ‘again’, ‘more’, and
‘yet/still’. We aimed to see how these meanings could be related in a single word and to find the conceptualization and
grammatical paths involved. We also intended to find out whether this word carries any underlying meanings not specified in
dictionaries. In the corpus, although many examples have lagi in the sentence-final position, some unconventional
sentence-initial uses were also found in news headlines. We found that lagi serves a special function in news
headlines, emphasizing the repeatedness of events that were often negative or undesirable. The seemingly unrelated meanings of
lagi can be categorized based on three meaning concepts – addition/more meaning, less-more
continuum, and temporal
lagi (‘yet/still’, ‘again’). In addition to these concepts, we also found several possible grammaticalization paths
that contribute to the different uses of lagi.
A comparative study of NaI(Tl), CeBr3, and CZT for use in a real-time simultaneous nuclear and fluoroscopic dual-layer detector
Authors: Koppert Wilco J C , Dietze Martijn M A , van der Velden Sandra , Steenbergen J H Leo , de Jong Hugo W A M 
Published: June 2019

Abstract
Simultaneous acquisition of nuclear and fluoroscopic projections could be of benefit for image-guided radionuclide administration. A gamma camera positioned behind an x-ray flat panel detector can accomplish such simultaneous acquisition, but the gamma camera performance suffers from the intense x-ray dose. A regular NaI(Tl)-based camera has nominal performance up to 0.02 nGy dose per pulse, whereas 10 nGy dose is expected for our foreseen applications. We evaluated the performance of CeBr3- and CZT-based detectors and investigated a cost-effective improvement of a regular NaI(Tl)-based camera by the introduction of a high-pass filter and shorting circuit.
A CeBr3-based detector was exposed to 5 mGy x-ray dose and the resulting light emission was measured over time to quantify the crystal afterglow, allowing comparison with a previously measured NaI(Tl)-based detector. The NaI(Tl)-, CeBr3- and CZT-based detectors were exposed to x-ray pulse sequences with dose from 0.06 to 60 nGy, while being irradiated with a gamma source. The mean gamma energy and energy resolution in between the x-ray pulses were measured as a reference of the detector performance.
The afterglow signal after 3 ms was 14.1% for the NaI(Tl)-based detector, whereas for the CeBr3-based detector it was only 0.1%. The limits for a proper functioning detectors are 0.32 nGy for the NaI(Tl)-based detector with high-pass filter and shorting circuit and 18.94 nGy for the one with CeBr3. No energy degradation was observed for the CZT module in the studied dose range.
The performance of regular NaI(Tl)-based gamma cameras deteriorates when exposed to high x-ray doses. CeBr3 and CZT are much better suited for introduction into a dual-layer detector but have high associated costs. Addition of a high-pass filter and shorting circuit into the PMT of a NaI(Tl)-based detector is a cost-effective solution that works well for low dose levels.
E-Nose Sensor Array Optimization Based on Volatile Compound Concentration Data
Authors: Subandri Muhammad Asep , Sarno Riyanarto 
Published: June 2019

Abstract
Currently, most e-nose studies are for lab-based applications, the e-nose does not provide access from other places. To be able to implement the internet of things (IoT) technology that is gaining momentum, the e-nose device must be efficient. This study proposes a sensor array optimization technique. If in previous studies using electrical signal data, our study used volatile organic compounds concentration data to minimize the use of sensors. From 10 initial sensors used in the e-nose prototype, only 4 sensors remained. The experimental results showed that by using the KNN algorithm, these 4 sensors were able to predict banana samples with an 80% accuracy rate. When applied to the final e-nose product, the prediction accuracy was 78%.
Estimated Vehicle Density Based on Video Processing Using the Gaussian Mixture Model Method
Authors: Putri A A , Achmad A , Suwadi  
Published: June 2019

Abstract
Congestion is a problem that cannot be decomposed properly, especially at big cities in Indonesia, one of them is in Surabaya. To solve this problem is needed to observe characteristics of the road such as the number of vehicles, vehicle speed and vehicle density. This research took the data in several areas in Surabaya by put the camera in the middle of a crossing bridge. This research aims to determine the density value by comparing traffic volume with vehicle speed. The value of speed and number of vehicles can be known using Gaussian Mixture Model method, where object detection is detected by background substraction process, which is video divided into several frames and in each frame images is divided into two part there are foreground and background. The object will be count 1 when blob analysis detect the foreground. In the theory to know the density value of a traffic flow, with compare the number of vehicles and the speed of vehicle. From the data has been taken, it is known that the number of vehicles is opposite with average speed the vehicle that passes. If average velocity of vehicle greater than the number of vehicle so the value density vehicle getting smaller . so that information can be found that the road is experiencing congestion conditions.
Customer Critique Analysis System for PT. KCI’s Twitter
Authors: Husen Ahmad , Sihwi Sari Widya , Suryani Esti 
Published: June 2019

Abstract
Commuter Line is one of the main choices for users of public transport in Jakarta. Commuter Line in Indonesia is managed by PT. Kereta Commuter Indonesia (PT. KCI). PT. KCI has an official Twitter account @CommuterLine. The purpose of this research was built Customer Critique Analysis System for Twitter PT. Kereta Commuter Indonesia using Support Vector Machine (SVM). The software engineering method used in this research is Component-Based Software Engineering (CBSE). Applications built in this research uses some components/libraries, which are Tweetsharp, LibSVM, Metronic, Kendo UI and JQCloud. The results of this research is a useful analytics application to perform grabbing and tweet data analysis from Twitter account @CommuterLine, and a dashboard to display the results of the analysis in graphical form. The test results show that the system meets the functional and nonfunctional requirements from the user. Testing is done by installing the application on the server PT. KCI, then it was tested by user.. Non-functional testing was done by measuring application performance and usability. Performance measured is classification accuracy and running time of the program. Accuracy performance testing resulted in average sentence classification accuracy of 80.4%, and the accuracy of complaint classification type of 82.3%. The average running time is 3 minutes 25 seconds.
A Literature Review − Firm Investment on Cloud as Efficient & Effective Technology
Authors: Raditya Martha Gede Indra , Subriadi Apol Pribadi 
Published: June 2019

Abstract
The improvement of cloud computing is progressing very quickly can be measured by the elements that can already be handled by this technology trends. Cloud improvement makes the working capability of everyone who uses it increases because the cloud negates the hardware requirements that a user must have to perform a certain task. Tasks that have high hardware requirements for high processing activity that consume large investment cost can be minimized significantly from infrastructure, maintenance, upgradeability, and electricity cost. It shows that cloud computing has excellent investment relevance for companies and work elements that require high processing capabilities, in addition to cloud computing are also eco-friendly/green computing environment-friendly technology that can add value from cloud technology itself, for users/companies and the environment. However, the flow of cloud-focused research lacks a clear roadmap or agenda due to the rapid development of cloud technology. Therefore, this article analyzes and synthesizes existing studies on cloud-computing. The results of this study/paper are to provide an opportunity for development and further research in the field of use of cloud computing as an efficient & effective technology investment in a firm.
Carbon Monoxide Sensor Based on Non-Dispersive Infrared Principle
Authors: Diharja Reza , Rivai Muhammad , Mujiono Totok , Pirngadi Harris 
Published: June 2019

Abstract
Carbon monoxide (CO) is one of the toxic air pollution produced in incomplete combustion of carbon-containing fuels. At a certain threshold of concentration, this gas can harm the environments and affect the human health. Unfortunately, it cannot be detected by humans. In this study, CO gas detection has been designed and constructed using the principle of Non-Dispersive Infrared (NDIR). An incandescent light bulb is used to provide infrared source. An optical filter based on interferometry with a bandpass of about 4.63 μm is used to pass the light which corresponds to the CO gas absorption. The TPS 334 thermopile sensor is used to measure light intensity after gas absorption. The built-in RTD in the thermopile is involved to compensate the results of the gas concentration measurement. The experimental result shows that this NDIR sensor can measure CO gas concentration with a sensitivity of about 7 mV / ppm.
Improving Internal BGP Provide Fast Failover in Multihoming Environment Mobile Backhaul
Authors: Usino Wendi , Damanik Hillman Akhyar , Anggraeni Merry 
Published: June 2019

Abstract
Integrating multipath technology with inter-domain routing is one of the most promising trends in building a package routing policy system for the next generation. However, gradually changing the current inter-domain routing from a single path to multipath failover routing is a difficult problem. In the previous study, the application of the BGP algorithm was applied only to connections on external BGP techniques or between AS numbers. In this paper, we study the impact of implementing traffic routing policies on backhaul carrier Ethernet (Metro-E). Implementing iBGP as a medium on Metro-E for failover technology. The purpose of this paper is to propose and implement routing policies including policy expressions, firewall filters, route preferences, policy chain and policy statements in failover links in IGPs on routing deployment policies, using the Juniper Router Operating System. The results of this application show that periodically the intervals in the graph clearly show a direct correlation between the average failover time. When the main link fails, the link will be connected or active, secondary links and tertiary links will be created. Likewise, switching paths from secondary links to tertiary links, and so on will choose random (round robin). So that during the transfer process does not require time, it can be interpreted as 0 seconds, or not packet loss. So if the average failover response for direct implementation requires only 0-1 seconds.
A Prototype Implementation of Visible Light Communication Based Electrocardiography Data Transmission
Authors: Hadiyoso Sugondo , Wijayanto Inung , Fauziah Dila 
Published: June 2019

Abstract
VLC-based data transfer technology is one of the concepts of energy efficiency by utilizing existing light sources as media transfers. VLC is proposed to be part of the 5G technology so that its development and application is predicted to be very wide. The application of VLC is one of them in medical instrumentation. In this research, we proposed the prototype of VLC as an electrocardiograph (ECG) signal transfer media. This system consists of a transmitter and receiver using half-duplex mode. Transmitters use LEDs as light sources arranged in arrays and equipped with P-N-P type transistors as LED drivers. The receiver uses a light sensor in the form of a phototransistor. We carry out transmission testing in rooms with several lighting levels (0, 15, 30, 100, and 200 lux). From the test results, analog ECG signals able to sent with a maximum transmission distance of 450 cm.
Dual Security Method for Digital Image using HBV Encryption and Least Significant Bit Steganography
Authors: Susanto Ajib , Moses Setiadi De Rosal Ignatius , Rachmawanto Eko Hari , Sari Christy Atika , Ali Rabei Raad , Wahyu Mulyono Ibnu Utomo 
Published: June 2019

Abstract
This study proposes a combination of two security techniques, namely steganography and cryptography. The proposed steganography technique is LSB because it has advantages in data embedding capacity and message imperceptibility. The LSB technique is very simple and predictable, so to improve message security HBV encryption techniques are applied. HBV encryption is applied to the message before pinning it. HBV encryption is a combination of the Beaufort algorithm and Vigenere cipher so that the message security will be stronger. By combining HBV and LSB encryption, the message can be hidden properly, and its awake. Based on the experimental results, the encryption and embedding process can run well and produce good quality encryption and stego images. Similarly, the extraction and decryption process can run perfectly.
eParticipation of SQA (Service Quality Assessment) in the Clinical Laboratory
Authors: Siswanto J , Putra N D , Minarwati  , Santoso H , Syafrianto  
Published: June 2019

Abstract
Clinical laboratory become one of the most dynamic environments in health services business. Nonetheless, not all clinical laboratories have the same service standards and quality. Service quality can be assessed by consumers/patients served in clinical laboratories. The results of the assessment of service quality can be used as an evaluation and measurement. Clinical laboratories have not been able to format, obtain, process and provide data about the assessment of service quality from the participation of consumers/patients by utilizing information technology. These problems are solved using research methods by adopting Framework participation. The framework consists of 3 levels, such as Participation Areas, Categories of Tools, and Technologies. The result of the research were the eParticipation of SQA application can be used as a tool for format, obtain, process and provide data on the assessment of service quality from consumers/patient’s participation consisting of 14 elements and had to be relevant, valid, and reliable. The benefit of the assessment results can be used to determine out the lack of assessment elements, performance, and considered as a policy for determination material.
Implementation of Object Tracking Augmented Reality Markerless using FAST Corner Detection on User Defined-Extended Target Tracking in Multivarious Intensities
Authors: Nurhadi  , Saparudin  , Adam N. , Purnamasari D. , Fachruddin  , Ibrahim Ali 
Published: June 2019

Abstract
This paper presents a FAST Corner Detection object scanning to improve SLAM technique, which is SLAM, has a weakness in extracting features in the real-world object. The use of User Defined Target and Extended Tracking are for making this work more convenient and reliable. We can trace the object even though the object does not exist, so this improves the function of markerless itself. The use of Raycast is for the make labeling the objects or features in the scanned object. In this research, we executed multivarious intensity to test the FAST Corner Detection to increase function in real world feature extraction and prove it better than SLAM. Then, we got the result where is a brighter condition will get faster recognition. The best environments for augmentation are in the range of 80-190, they took in less than 1 second. On the contrary, the intensity outside of the range such as ≤50 or ≥200, has a deficiency of augmentation. The range of ≤50, there was no augmentation cause of low intensity. For the range of ≥200, we haven’t made measurements as we don’t have the resources yet, but we hypothesize that the object would be corrupt or we may call it was overexposure cause of the intensity is too high. So, this could also lead to augmentation will not occur.
The Prototype of Hand Gesture Recognition for Elderly People to Control Connected Home Devices
Authors: Ayubi Shalahudin Al , Sudiharto Dodi Wisaksono , Jadied Erwid Musthofa , Aryanto Endro 
Published: June 2019

Abstract
Nowadays, the technology development makes a human can create a tool which is used to recognize an object and it becomes a popular technology device. It happens because this tool has an important role for interaction between a human and a computer. One example of this technology usage is to recognize a hand gesture for controlling a home automation system. The existing of this technology creates the change related to how the human controls any tools in a house and it also reduces the complexity including an effort when it is used for controlling. This feature is very useful, especially for elderly people who stay in independent living. This study is going to develop a controller prototype by using FAST (Features from Accelerated Segment Test) algorithm to detect hand gesture for operating the connected home devices. This controller uses an embedded system to translate a command which is created by using the hand gesture of senior captured by the cam for controlling the lamps. The lamps itself are represented as several tools in the house. The observation gives a result that the hand gesture is potential to be implemented as a command for controlling the proposed system prototype in the range which is not far than 1 meter with the percentage average recognition accuracy is almost 80%.
Determination of The Ship Motion Direction with Digital Image Processing on Sea Water Surface to Avoid Collisions
Authors: Fitrawan Alif Akbar , Shodiq Mohammad Nur , Kusuma Dedy Hidayat 
Published: June 2019

Abstract
As the largest archipelagic country in the world, Indonesia has 17,499 islands from Sabang to Merauke. There is a country with an area of water greater than the land area. Data on shipping accident investigations from the National Transportation Safety Committee (NTSC) throughout 2010-2016 of fifty-four accident cases at sea, seventeen of which were accidents caused by collisions on ships in Indonesian waters. This is equivalent to twenty percent of accidents that have occurred, a human error causes as many as 80% of collision accidents from the crew or people in the sea transportation system, and natural factors or machinery cause only a few. The success of this research aims to avoid ship breaking, by giving directions on the direction of the ship obtained by the results of digital image processing. This study proposes a digital image processing model on sea surface using object recognition. It used the morphological operation in the preprocessing stage; this method can remove non-uniform illumination and reflection in sea surface. Then, noise in the image data will decrease. The result of this object recognition will be used to determine the direction of ship movement. Experimental results with our own dataset verify the high efficiency of our proposed method.
Automatic Shooting Scoring System Based on Image Processing
Authors: Widayaka Parama D. , Kusuma Hendra , Attamimi Muhammad 
Published: June 2019

Abstract
Today, many shooting venue that held shooting training used conventional methods to accumulate shooting scores. These conventional methods for shooting training will need more time and resources to do such a task. These paper describes an automatic shooting scoring system based on image processing for live shooting session. A camera is mounted in front of shooting target frame to capture every single shoot image. We use several image processing algorithms such as target ring detection, perspective transform, image subtraction, as well as morphological image processing. Contour detection method is used to perform a perspective transform, obtaining circle diameter and center circle position by using bounding box function by extracting detected contour and bullet hole position.
Our experimental results, show that the accuracy of our method is 91%, based on the experiment by using a tiny circle sticker with a diameter of 7.62mm to simulate as a bullet hole image. We use 10 target sheets which there are 10 bullet hole images using circle sticker in each captured target sheet image.
A Classification of Platelets in Peripheral Blood Smear Image as an Early Detection of Myeloproliferative Syndrome Using Gray Level Co-Occurence Matrix
Authors: Nanda Imron Arizal Mujibtamala , Fitri Zilvanhisna Emka 
Published: June 2019

Abstract
Platelet disease is usually caused by abnormalities of the number or form of platelets, for example in Essential thrombocythemia (one of the groups of myeloproliferative syndrome). The characteristic of ET disease is that if a lot of giant platelets are found as large as leukocytes and cannot be detected using FBC, microscopic examination must be done manually by a clinical pathologist. The classification process begins with image processing techniques on the peripheral blood smear image, then texture features are taken using the Gray Level Co-Occurrence Matrix ( GLCM) which consists of ASM, IDM and Entropy features.This feature is input into the classification system using Backpropagation. The test results, Backpropagation was able to accurately identify cells in BG images, namely leukocytes 91.84%, normal platelet cells 92.86% and giant platelet cells 84.69%. Whereas in the AL image, the accuracy of leukocyte cells is 90.82%, normal platelet cells are 96.94% and giant platelet cells are 87.76%. The average accuracy of the Backpropagation method at 84.69% BG images and AL images was 87.76%. So this classification system is able to be used as a tool for doctors or medical analysts to speed up the process of early detection, especially in myeloproliferative syndrome patients.
Dysgraphia Identification from Handwriting with Support Vector Machine Method
Authors: Sihwi Sari Widya , Fikri Khoirul , Aziz Abdul 
Published: June 2019

Abstract
Dysgraphia, a handwriting disorder in which a person has difficulty in writing at any level such as slow writing or unreadable letter. Many research has done to study the characteristics and to diagnose it for early prevention in children. In this study, we try to identify dysgraphia among children and divide it into 4 class, normal, light, moderate, and severe. Therefore an android application with embedding a handwriting recognition tool was created to collect the data from elementary school students that have dysgraphia and those who don’t. We use Support Vector Machine in classifying the data to identify dysgraphia because SVM has the ability to learn well with limited data compared to ANN on many occasions. The result, after using three different kernels in SVM such as Linear, Polynomial, and Radial Base Function kernel (RBF), shows that the RBF kernel produces better average accuracy and Cohen’s kappa value compared to Linear and Polynomial kernels, where the average accuracy of each kernel is 78.56% for Linear, 81.40% for Polynomial, and 82.51% for RBF.