bluuebunny/crossref_metadata_2025_split huggingface dataset:
How big data analytics affect management control in indonesian companies
Authors: Maulana Dimaz , Kwek David , Wang Gunawan , Kaburuan Emil Robert 
Published: November 2019

Abstract
Big data is a new technology that is able to display pattern analysis and connections in data that can only be created by using big data, while management control cannot be separated from the role of supporting data, without which the control does not have a strong foundation and can influence the main objectives of management control. This study aims to investigate the role of big data in management control, such as what insight the organization knows about big data and how it is treated and whether big data influences management control over the organization. This study using qualitative research on research methodology. The data collection technique is conducted by interviewing two people representing an organization and carried out to three organizations in Indonesia. The result of this study, Although the organization recognizes the greatness of big data especially for proper management control, it is constrained by the large costs of collecting and processing big data, which exceeds the core operating costs of their business, and they are not ready for big data processing because they are faced with special expertise needs in running big data that they don’t already have.
ECG based person authentication using empirical mode decomposition and discriminant analysis
Authors: Hadiyoso Sugondo , Rizal Achmad , Aulia Suci 
Published: November 2019

Abstract
Person identification or authentication through biometric features has been widely applied for basic access and high-level security. But conventional biometrics such as fingerprints and irises tend to be easily faked or duplicated. Therefore a new biometric modality is needed to overcome that problem. In this paper, we simulate a new model of biometric systems using physical signals of the body. The proposed biometric system is based on ECG signals as a characteristic of each subject. A total of 110 raw ECG signals with a duration of 5 seconds from 11 participants were demonstrated in the proposed system. Empirical mode decomposition (EMD) and statistical analysis are used for feature extraction. Discriminant analysis with cross-validation was applied to test the performance of the proposed method. In this research, the highest accuracy of 93.6% was obtained using subspace discriminant in the scenario of all feature attributes as predictors.
The accuracy comparison of vector support machine and decision tree methods in sentiment analysis
Authors: Nurfaizah  , Hariguna T , Romadon Y I 
Published: November 2019

Abstract
Analysis of customer satisfaction with company service is one of the tools for the company to be able to find out the lack of services and be able to know the expectations of users of the company. This is very possible in real-time, especially companies that are engaged in buying and selling online because one of the features they provide is a comment column from the user. In addition to using websites or known as e-commerce sites that can be accessed by consumers through media websites, currently online buying and selling providers can also be accessed through Google Play. Consumers download e-commerce applications and install them on their smartphones. This study aims to process user comments using Support Vector Machine (SVM) and Decision Tree algorithms to see the accuracy of the algorithm used and see positive and negative reviews. In addition to producing sentiment analysis, SVM classification algorithms and Decision Tree methods will be compared to their accuracy values in calculating datasets.
Food powders classification using handheld Near-Infrared Spectroscopy and Support Vector Machine
Authors: Mohamed Mohamed Yasser , Solihin Mahmud Iwan , Astuti Winda , Ang Chun Kit , Zailah Wan 
Published: November 2019

Abstract
The aim of this study is to build a classifier model based on spectra data collected using handheld spectrometer that can classify between different types of food powders (flour and starch). A total of 70 samples were prepared from three different types of flour (whole wheat, organic wheat, and rice flour) and two different types of starch (corn and tapioca starch). Handpalm size handheld spectrometer is used to record the spectrum of each sample, the spectrometer has wavelength range of 900nm to 1700nm. The spectra data is pre-processed using gaussian smoothing to filter the data from noise and unrelated information. Multivariable data analysis method as principle component analysis (PCA) is used to eliminate irrelevant data and reduce the number of variables to three principle components for easier analysis and visualization. Support vector machine (SVM) is used to build a classification model. The training/calibration of the model was done by using 80% of the dataset while the remaining 20% was for testing the model. The results show that with proper pre-processing and PCA, classification of 100% accuracy can be achieved. This study indicates the potential future application of this approach for rapid detection in food powders fraud and adulteration.
Investigation on high-power-density design of small PM motors focusing on air gap configuration
Authors: Usami Kazuaki , Noguchi Toshihiko 
Published: November 2019

Abstract
This paper describes a case study of high-power-density design of small permanent magnet (PM) motors focusing on their air gap configurations. Two types of the PM motors, i.e., a radial air gap type and an axial air gap type, are comparatively discussed. Comparison between the two types has been conducted from the viewpoints of I-T characteristics, N-T characteristics, efficiency maps, torque ripple characteristics, and so forth. It has been clarified that the axial air gap type has significant advantages to achieve the high-power-density under some limited condition.
Spatial and temporal constraints of leached Cu-Au porphyry shoulder high-sulfidation epithermal deposit: insight from new discovered Kumbokarno Prospect, Trenggalek District, East Java
Authors: Aldan F A , Idrus A , Takahashi R , Kaneko G 
Published: November 2019

Abstract
We conduct microscopic and microprobe quantitative analyses to confine characteristics of the newly found Cu-Au high sulfidation deposit which interestingly seems to highly associate with the presence of iron oxide-hydroxide complex. The resulting paragenesis shows four generation phases, which are magmatic, deep hypogene, shallow hypogene, and supergene. The alteration pattern suggests presence of a concealed intrusion which ascends the hypogene mineralization forming-fluid. Quantitative microprobe analysis shows enrichment of copper and gold in various types of iron oxide-hydroxide texture. A unique repetitive pattern of high and low copper concentration is found overlaps with goethite-hematite band of colloform texture. An interesting pattern between gold and titanium is also found as gold is almost exclusively located inside or near Fe-rich leucoxene. We propose a model of leached Cu-Au porphyry shoulder high-sulfidation epithermal deposit system to explain the prevalent condition of Kumbokarno Prospect where intensive late oxidation acts as the main process of metal concentration.
Structural framework and its compartmentalisation within the associated uncertainties: A case study from the Statfjord Reservoir, Northern North Sea
Authors: Aditama Maulana Rizki , Khan Joshua , O’Neill Joseph , Sismanto  
Published: November 2019

Abstract
The study to define the degree of compartmentalization along with the associated uncertainties has been done to aid the exploration sector to maximize its hidden potentials. Statfjord reservoir as the object of this study provides a robust clastic data which contains six different zones based upon petrophysical analysis. Seismic data interpretation is the core method to generate the structural and surface interpretation, followed by the structural framework modeling to define the juxtaposition along with the segmented fault system. The result shows moderate clay content (Effective Shale Gouge Ratio) ranging between 40% - 60% with 0.3 MD (millidarcy) permeability, which indicates moderately sealing faults. The compartments also considered having two different scenarios concerning its migration pathway. This is because of the limited well data at the reservoir system, therefore, two different Oil to Water Contact (OWC) value has been added (-2717m and -2617m).
Noise investigation in a small muffler industry in Purbalingga, Indonesia
Authors: Risvianni A , Krisnawati M , Imran R A 
Published: November 2019

Abstract
Noise can occur in the work environment and as a factor of dissatisfaction in residential areas, therefore controlling noise is needed. The noise level generated by the muffler production process in a small muffler industry can exceeds the threshold standard at 85 dB of 8 hours work. This study identifies the value of noise at the points of the production process at the muffler industry process and location mapping. Noise assessment is carried out at 5 points different metal working task location. The loudest noise is at the measurement was the grinding points with a noise exposure of 102.04 dB, and the average noise in parallel process was 95.38 dB. The measurement shows the location near to the source of loud noise will increase the amount of noise level, which was the grinding machines increases the noise level for other processes. Overall the noise exposure of all sampling points in parallel process was above standard noise level Kepmenaker no. 5 of 2018, however in individual process only beatings plates and grinding task were exceeds.
Various and multilevel of coiflet discrete wavelet transform and quadratic discriminant analysis for classification misalignment on three phase induction motor
Authors: Saputra P.P.S. , Firmansyah Rifqi , Irawan Denny 
Published: November 2019

Abstract
For a long time ago, induction motor has been used in various industry due to strong construction, high efficiency, and cheap maintenance. Induction motor needs to be maintained regularly so that it can operate for a long time. Based on studied, bearing faults result in failure of 42% -50% of all motor failures. One of the causes of bearing failure is misalignment when installing induction motor. This research proposes classification misalignment in induction using coiflet discrete wavelet transform and Quadratic Discriminant Analysis. Simulation of motor condition is introduced in this research as normal operation and two misalignment variations. And then, various type of coiflet discrete wavelet transform in first level until third level is used to extract motor vibration signal into high frequency signal. Then, three types of signal extraction, namely sum, range and energy level, will be used for input to Linear and Quadratic Discriminant Analysis. Linear and Quadratic Discriminant Analysis will analysis signal extraction and classify them into normal operation and two misalignment condition. The results show that first level of coiflet discrete wavelet transform is the best level for classification misalignment on induction motor, both using the Linear Discriminant Analysis and Quadratic Discriminant Analysis methods. The accuracy obtained from the two methods is the same or almost the same.
Preliminary study on adjustable field NdFeB permanent magnet motor based on permeability modulation technique
Authors: Noguchi Toshihiko , Iwama Kiyohiro , Aoyama Masahiro 
Published: November 2019

Abstract
This paper describes an adjustable field permanent magnet (PM) motor based on a permeability modulation technique. The proposed motor has leakage magnetic flux paths between the rotor magnetic poles. The permeability modulation is a technique for controlling the amount of the leakage magnetic flux by manipulating the permeability of the magnetic paths. This paper proposes two adjustable field PM motor models based on the permeability modulation technique. One is a model using electromagnetic steel sheets and different kind of metal materials in the rotor, and the other is a model using only the electromagnetic steel sheets in the rotor. The paper presents some computer simulation results and makes a comparison between the two models.
Study on mechanical proportion and anti-demagnetization characteristic of 15 kW, 150,000 r/min PM motor
Authors: Fujita Kohei , Noguchi Toshihiko 
Published: November 2019

Abstract
This paper describes a relationship and compatibility between the mechanical proportion and anti-demagnetization characteristic of an ultra-high-speed permanent magnet (PM) motor of which rated output power is 15 kW and rated speed is 150,000 r/min. The ultra-high-speed motor must be designed to achieve outstanding electromagnetic characteristics under various server mechanical constraints. In the paper, three motor models having different characteristics of 15 kW, 150,000 r/min are investigated from the viewpoints of electromagnetic and mechanical compatibility. all the motor models designed here achieve high efficiency over 95 %, but it is found that anti-demagnetization characteristics are different among the three. In addition, rotor shaft material is discussed for anti-demagnetization. As a result, stainless steel is found to be a better material than carbon steel for anti-demagnetization.
Space Vector Modulation of dual inverter motor drive compared with single inverter drive
Authors: Fauziah Melinda B. , Oto Yoshiaki , Noguchi Toshihiko 
Published: November 2019

Abstract
This paper describes space vector modulation (SVM) techniques for different motor drive systems. Two three-phase topologies are compared from the viewpoints of switching sequences and the resultant voltage waveforms, i.e., an open-end winding motor fed by dual inverters and a conventional star-connected three-winding motor fed by a single inverter. In the dual inverter system, both the inverters are supplied by batteries with a 1:1 DC-bus voltage ratio, while in the single inverter system, the DC-DC converter is employed to supply the inverter. The simulation results compared with the single inverter system show that, with the identical motor speed command value, the dual inverter motor drive system can generate 9-level voltage waveforms which can suppress the total harmonic distortion (THD) of the voltage down to 35.86% and THD of the current down to 6.39%.
Comparative analysis of the dispersion compensating fiber (DCF) scheme in long-haul dense wavelength division multiplexing (DWDM)
Authors: Permadi Aji Insan , Isnawati Anggun Fitrian , Zulherman and Dodi 
Published: November 2019

Abstract
Dense wavelength division multiplexing (DWDM) technique in optical communication was used to improve the system performance combined several channels in a transmission line especially for long-haul optical link, but the presence of dispersion limited the system performance. The Dispersion, one of the distortion in optical communication system, influenced the performance of dense wavelength division multiplexing (DWDM) by limiting the bandwidth capacity, so the DWDM system required a tool to compress the effect of dispersion. This works aimed to analyse performance of the DWDM systems using the bit error rate (BER) and Q-factor parameter that implemented the symmetrical DCF to compress the dispersion effect. Observation were made on a model of 16-channel DWDM with bitrate 40 Gbps, over 1050 km optical link with channel spacing 100 GHz. The DWDM system was design using two DCF configurations and Erbium Doped Fiber Amplifier (EDFA) to regenerate the optical signal. The system performance was observed with optical power launch variations of 0, 2, 4, 6, 8 dBm and variations in the DCF scheme (type-A and type-B). Based on results, Type-A performance is slightly better in terms of Q-factor than the B-type scheme. Based on BER value, both type-A and type-B performance have equivalence value. In conclusion, the different scheme for DCF placement to compensate the dispersion effect in DWDM shows the equal performance.
Design and implementation A* Algorithm on movement system robot in the warehouse
Authors: Aprilia Bandiyah Sri , Kurniawan Ekki , Ramdhani Mohammad , Rizal Achmad 
Published: November 2019

Abstract
The advancements in warehouse robotics at this current moment is considered as a trending topic. There is an abundance of multinational electronic companies that requires the use of robots in the field, especially warehouse robots that can be used to send and receive items efficiently. The width of warehouses with many branching routes creates problems for the movements of these robots. An example of said problem would be the inability to move efficiently using the nearest route possible. Therein lies the need for an algorithm that may solve these issues. This research proves that the use of A* Algorithm can be implemented for warehouse robot tracks which involves the usage of visible light communication method. The routes used for experimentation have specialized schematics in the form of a grid. In these experiments using a track with 2x2 and 3x3 schematics presents a success ratio of about 56,6% to 66,6% with an estimate distance calculation error between a minimum of 1cm and maximum of 20 cm. With the implementation of A* Search Algorithm, the robot could determine the shortest route in which it could efficiently move less steps compared to robots which uses all possibilities that exists.
Design and implementation program identification of traffic form in self driving car robot
Authors: Yudokusumo Lukman , Dwi Wibawa IG. Prasetya , Ekaputri Cahyantari 
Published: November 2019

Abstract
The development of technology is growing more rapidly, one of them is a car robot without a driver who can help navigate the car to drive. The navigation is designed to determine the direction of the steering wheel to walk along the track properly. An image processing algorithm is designed to help navigate miniature cars. The design of this algorithm uses the Python programming language and has the OpenCV library. An image as an input while for the output is to have a miderror value to find out the position of the car in the middle of the track or not. The results in the miderror that are read in the python and the ruler on the straight track has an average of 5.485647966%, and identification of the track shape can distinguish between the straight track, turn right, and turn left.
Flavored powder from shrimp shells with bromelain enzymatic process and adding of flour and spices
Authors: Pita Rengga W Dyah , Salsabiil K Amalania , Harianingsih  , Oktavia S Ervita , Ansori M 
Published: November 2019

AbstractShrimp shells consisting of head and skin can be extracted to get a filtrate that is rich in protein and delicious taste. The shrimp shell powder is refluxed in 2 stages, the first without enzymes and followed by the reflux stage with enzymatic bromelain. The function of enzymatic extraction is to get a protein that has more shrimp flavor. The filtrate without and with the enzyme are made into filtrate then added with flour and spices to become shrimp flavoring powder. Products analyzed and tested are shrimp flavor and filtrate. Tests carried out were tests of protein content, water content, analysis with FTIR, GCMS, and TEM. The results of the filtrate contain 24.6% total protein in the condition of adding bromelain enzymes as much as 2% (b / b) at 55 °C. Analysis of functional groups flavoring consist of amines, carboxylic acids, alcohols and phenols, amides, and sulfates. The powder is evenly distributed (not agglomerated) between 1-8 nm with a dominant diameter of 6 nm of 26.1%.
Spatial analysis and monitoring of drought using Standardized Precipitation Index in East Java
Authors: Umiati Tri , Suroso  , Ardiansyah  
Published: November 2019

Abstract
Drought hazard index monitoring is important in the process of disaster risk reduction, as part of efforts to control drought. The purpose of this study was to determine the drought index based on precipitation. The location of this study is in the East Java region. The method used in the research is the Standardized Precipitation Index (SPI) method. The data needed is rainfall data obtained from the TRMM satellite. The data is then analyzed using R to obtain a drought index value. The results showed that Banyuwangi Regency became a district with a moderate drought hazard index with the highest value, which is 52.3% or 0.523 on a scale of 0-1 in accordance with SPI. Mojokerto City is a district with a low drought hazard index with the lowest value, which is 28.4% or 0.284 on a scale of 0-1 according to SPI.
Analysis and parameter estimation of time-varying signals: theory and methods
Authors: Sha’ameri A Z 
Published: November 2019

Abstract
The need to capture signals, perform classification and make decisions are components of an Industry 4.0 manufacturing system. Since signals in practice are corrupted by noise, it is essential to optimize the signal processing and classification to ensure correct decision making. The time-varying nature of signals requires the use of time-frequency analysis over conventional methods such as spectrum estimation to ensure accurate estimation of signal parameters. The methods presented cover the main classes of time-frequency distributions – linear and quadratic- and compare their strengths and weaknesses for the appropriate choice of application.
Seedling responses to salinity of 26 Neotropical tree species
Authors: De Sedas A , González Y , Winter K , Lopez O R 
Published: November 2019

AbstractSea-level rise will result in increased salinization of coastal areas. Soil salinity is a major abiotic stress that reduces plant growth, yet tolerance to salinity varies across environmental conditions, habitats and species. To determine salinity tolerance of 26 common tropical tree species from Panama, we measured growth, gas exchange and mortality of 3-month-old seedlings subjected to weekly irrigation treatments using five seawater solutions (0 % = control, 20, 40, 60 and 90 % V/V of seawater) for ~2 months. In general, species from coastal areas were more tolerant to increased seawater concentration than inland species. Coastal species such as Pithecellobium unguis-cati, Mora oleifera, Terminalia cattapa and Thespesia populnea maintained growth rates close to those of controls at 90 % seawater. In contrast, inland species such as Minquartia guainensis, Apeiba membranacea, Ormosia coccinea and Ochroma pyramidale showed strong reductions in growth rates and high mortality. Plant height and leaf production also differed greatly between the two groups of plants. Furthermore, measurements of gas exchange parameters, i.e. stomatal conductance and maximum photosynthetic rate, were consistent with the contrasting growth responses of coastal and inland species. Our research reveals a great degree of variation in salinity tolerance among tropical tree species and demonstrates a close relationship between species habitat and the ability to thrive under increasing salt concentration in the soil, with coastal species being better adapted to withstand increased soil salinity than non-costal species.