bluuebunny/crossref_metadata_2025 huggingface dataset:
Management of on the job training (OJT) in culinary skill study program of SMK in Yogyakarta
Authors: Winnarko H , Hamidah S
Published: November 2019

This research aims to determine the process of industrial on the job training (OJT) at culinary skill study program of SMK in Yogyakarta seen with the approach model POAC (Planning, Organizing, Actuating, Controlling). This type of research is a survey research with quantitative approach. This research was conducted at SMK Negeri 4 Yogyakarta, SMK Negeri 6 Yogyakarta and SMK BOPKRI 2 Yogyakarta. The sample of the study were 185 students, 34 internal guidance teachers, and 14 instructors. Data were collected using questionnaires, interviews, and documentation. Data analysis techniques used descriptive statistical analysis. The results showed that: (1) on the job training planning included in the high category with the acquisition of student equal to 38, 92%, internal tutor teacher equal to 38, 24%, and instructor equal to 50%; (2) on the job training organization included in the high category with the acquisition of student equal to 43, 78%, internal tutor teacher equal to 47, 06%, and instructor equal to 42, 86%; (3) the implementation of on the job training (actuating) included in the high category with the acquisition of students equal to 37, 84%, internal guidance teacher equal to 35, 29%, and instructor equal to 50%; (4) on the job training controlling included in high category with the achievement of student equal to 41, 08%, internal tutor teacher equal to 38, 24%, and instructor equal to 50%.
Learning model development for vocational education based on industry work culture
Authors: Widarto  , Hargiyarto P , Kusdiyarto P , Wibowo A E , Wahyudi  , Devi F A
Published: November 2019

This study aims to: (1) examine the implementation of the industry work culture learning at the Mechanical Engineering Vocational Study Program of YSU; (2) conduct a mapping of the manufacturing industry work culture in Yogyakarta Special Region and Klaten regency based on clusters; (3) measure the relevance between the manufacturing industry work culture in Yogyakarta Special Region and Klaten regency and the work culture learning at the Mechanical Engineering Vocational Study Program of YSU. The data were collected through questionnaires, open interview, and direct observation. The research instruments were Likert-type scale with four alternatives and additional comment and suggestion sheets. After the descriptive statistical analysis was applied on the data, the study finds that: (1) the score of implementation of the industry work culture learning at the Mechanical Engineering Vocational Study Program of YSU is high with 3.22; (2) there are three industry clusters in Yogyakarta Special Region and Klaten regency, with different technology advancement levels of high, medium, and low; (3) the relevance levels between the work culture learning at the Mechanical Engineering Vocational Study Program of YSU and the manufacturing industry work culture in Yogyakarta Special Region and Klaten regency according to the clusters are reported as follows: 98% for cluster I, 102% for cluster II, and 131% for cluster III. While the overall results indicate very good relevance levels, when compared with the ideal condition of the preferred work culture, it only reaches 81%. In addition, there are two aspects that still need improvement, namely the Discipline and Innovativeness aspects.
Development of learning media video clip making mother sauce in continental food
Authors: Cahyani A A , Febriana R , Mariani
Published: November 2019

This study aims to develop learning media video clip making mother sauce. Type of research used Research and Development (R & D) with Bergman and Moore development model consisting of 6 stages, 1) Analysis, 2) Design, 3) Development, 4) Production, 5) Merger and 6) Validation. Validation had done by two lecturers of media expert and one lecturer of a material expert. The trial had done three times the treatment. Percentage achieved by media experts of 88% and 90% can say that learning media video clip making mother sauce have very excellent quality. Rate achieved by material experts is 98% can interpret that the material making of mother sauce has the super condition. Percentage on the individual test result that is 86%, the rate of small group experiment result is 86, 3%, and percentage of field trial result is 95, 2%, the effect shows that learning media of video clip making Mother Sauce have excellent quality. The result of the portion of experts and students shows that the learning media of video clip making mother sauce have an excellent class, so these instructional media deserve to used as learning media in continental food.
Developing Micro-Teaching Video As Learning Media In Automotive Teacher Education
Authors: Sofyan Herminarto , Us Tawarjono , Wakid Muhkamad , Sulistyo Bambang
Published: November 2019

The purpose of this research were: (1) to produce an appropriate micro-teaching video for the student teachers of Teacher Professionalism Training Program of Automotive Engineering Education, (2) to find out their responses to the micro-teaching video, and (3) to find out the effectiveness of the micro-teaching video in teaching the students. This research employed ADDIE model consisting of five stages namely analysis, design, development, implementation and evaluation. The product of this research was validated by the experts of media and materials in automotive engineering field. The product was tested on the students of Teacher Professionalism Training Program of Automotive Engineering Education Department. The research data were collected using questionnaire and observation sheet, and were analyzed through quantitative descriptive analysis. The results showed that: (1) micro-teaching video as learning media was classified into ‘very good’ level with the mean score 4.89 by the media expert, and also categorized into ‘very good’ with the mean score 4.67 by the materials expert, (2) the student teachers’ responses to the video during the try-out were classified into ‘very good’ level with the mean score 4.20, and (3) micro-teaching video as learning media was assumed to effectively improve the student teachers’ teaching skills. There was a significant improvement on the student teachers’ practice score, from 77.26 in the first practice to 83.59 in the second practice. In conclusion, micro-teaching video is an appropriate and effective learning medium for student teachers in Teacher Professionalism Training Program.
Applied programmable ECU on an internal combustion engine single cylinder 600 cc for Student Formula Japan
Authors: Wayan Adiyasa I , Yudianto Aan , Kurniadi Ninda , Sutiman
Published: November 2019

Student formula competition requires modification of the intake manifold hole by 20 mm. The internal combustion engine used has a capacity of 600 cc and an intake hole of 45 mm. The intake hole reduction affects the performance of the internal combustion engine. The ratio of the amount of air that is too small causes a decrease in engine performance. Ignition remapping is needed and fuel injection on the internal combustion engine. In the remapping process, the ratio of air and fuel is adjusted to the needs. The standard ECU on an internal combustion engine cannot be remapped. So the standard ECU on internal combustion engines is replaced using Motec M400. The parameters on the engine are only added to the camshaft sensor to determine the ignition timing and injection. Other sensors such as throttle position sensor, manifold absolute pressure, intake air temperature sensor, and engine temperature are used to determine ignition mapping parameters, fuel injection, and compensation for cranking, idle, and acceleration requirements. Tests obtained ignition remapping and fuel injection on internal combustion engines using ECU.
Electronic and GUI Developtmen of Roller Brake Tester
Authors: Maulana Firdaus Riky , Supriyo Bambang , Suharjono Amin
Published: November 2019

This paper discusses the development of electronic system and Graphical User Interface (GUI) for axle load and brake tester platform own by UPTD PKB DinasPerhubunganKabupaten Banjar Kalimantan Selatan which has not been operated for about 10 years due to failure on its electronic system. The new electronic system is developed consisting of HX711 load cell ampilfiers for A/D converter from axle and brake force load cells, ATMega328 microcontroller, relay driver and contactor. The GUI program is implemented using Delphi 7 for process monitoring, roller brake tester controller, printing the test results and saving the test results into the data base system. Based on the calibration tests, it was found that the results are very good with maximum percentage error of 2.22% for axle load meter, 1.47% for right brake force and 1.1% for left brake force.
Design Linkage Mechanism for Electromechanical Continuously Variable Transmission Ratio Controller Used in Motor Cycle
Authors: Ariyono S. , Supriyo B. , Sumiyarso B. , Cahyono B.
Published: November 2019

Good ride performance is one of the most important key attribute of a passenger vehicle. One of the methods to achieve this is by using continuously variable transmission (CVT). This is because a CVT has the capability of providing an almost infinite ratio within its limits smoothly and continuously. Motor with automatic transmission known as motor matic is now become widely used as main transportation. Easy to drive is the main reason to choose this type motor cycle. The mechanism of pulley axially movement controller based on centrifugal concept where the ratio of pulley totally depend on speed rotation of input shaft which is in line with the engine shaft. The effect of this system is there is no engine break during decline road condition. So that actually this motor cycle is not suitable for road with extreme decline condition. The purpose of the research is to design mechanism where the pulley movement can be controlled by the driver with the aid of electromechanical system. The design electromechanical of Single Acting Pulley Actuator (EmSAPA) Continuously Variable Transmission (CVT) utilizes combinations of DC motor system, gear reducers and power cam mechanisms to actuate primary movable pulley sheaves on the transmission shaft. The secondary pulley supported by spring provides a belt clamping force to prevent slips, while the secondary controls the rubber v-belt from slipping. This paper is also present comparison on mechanical linkage system which will actuate pulley to move axially.
Evaluation of the Temperature Distribution and Structural Deformation of the Car Dashboard Subjected to Direct Sunlight
Authors: Yudianto A , Ghafari Saeid , Huet Pierre , Wakid Muhkamad
Published: November 2019

A situation in which the car is directly parked under the sunlight needs to be considered as one of unavoidable operating conditions.The thermal phenomenon perceived by car dashboard might affect its functionality. The biomechanical function of the dashboard focused on the thermo-structural evaluation due to the direct sunlight was numerically simulated and investigated in this work. Polypropylene was chosen as the main dashboard material.The aims are to evaluate the temperature distribution, stress distribution and structural deformation of a car dashboard subjected to direct sunlight and due to the outside air goes inside the passenger compartment through an air duct.The material yieldsa small temperature gradient due to both direct sunlight and air flow through the air duct.By imposing 400 W/m2 heat flux on the dashboard surface, the stress distribution mainly occurs in the part of the applied constraints and the air duct placement, which has maximum value 19.56 MPa. The displacement of the dashboard is 0.0357 mm which is chiefly experienced by the front-centre part of the dashboard surface.
The Effect of Air Pressure in the Electric Train’s (KRL) Braking System on Wheel Damage
Authors: Zulkarnain Akbar , Artha Wirawan Willy , Boedi Wahjono Hari , Puspitasari Aldoko Indah
Published: November 2019

A flat wheel is a kind of wheel damage occurring when the train wheels are dragged along the rail as the axle wheel’s rotation stops. The wheels will skid when the brake block force is greater than the train force. The equation for the wheel skid is (Fbrake > Ftrain), this applies when the wheels stop rotating, but the train still moves so that a flat spotmay appear. This study finds that the electric trains from the JR 205 seriesthat has many flat spots on its wheels are the M trains (70%). It also reveals that the percentage of the brake block pressure in the unloaded KRL is 130.4%. Provided that ɳ>ɳmax (100%), this condition does not meet the standard of the International Union of Railway or Union Internationale des Chemis de Fer (UIC). If the percentage of the brake block pressure (ɳ) exceeds 100%, the braking force will be greater than that of the axle load and this causes the skid. To overcome this condition, rechecking the braking force and providing additional equipment are needed to assure that the air pressure is controlled.
Comparison Of Energy Absorption And Pattern Of Deformation Material Crash Box Of Three Segments With Bilinear And Johnson Cook Approach
Authors: Widi Astuti Septiana , Artha Wirawan Willy , Zulkarnain Akbar , Tri Istiantara Dedik
Published: November 2019

The study aimed to find out the comparison of energy absorption and pattern of deformation material crash box of three segments using software simulation FEM-Based (finite element method) and bilinear and Johnson cook approach. The crash box made with a three-segment circle cross section using Al 6063-T5 material, 1.2 mm thick, 162 mm length and chamfer angle between 45º segments. Simulation on the crash box was done by frontal direction collision simulation using an impact factor of 200 kg and impact speed of 7.67 m / s. The findings showed that the value of energy absorption in the crash box material with bilinear approach was higher of 8954 J compared to the crash box with the Johnsoncook approach of 8859 J. The patterns of deformation of bilinear crash box tended to form concertina and mixed patterns (concertina + diamond).
The Influence Of Temperature And Lubrication Variation On The Dimension Change In Ring Compression Test Using Ansys Software
Authors: Rozaq Fadli , Artha Wirawan Willy , Zulkarnaen Akbar , Jamaludin  , Boedi Wahjono Hari
Published: November 2019

The objective of the study is to identify the influence of temperature and lubrication influence on Ring Compression Test. Within the study, a quasi-experiment was conduct using ANSYS software. The simulation of Ring Compression Test was conducted by varying the temperature (200°C, 300°C and 400°C) and the lubrication (0.48, 0.60 and 0.88). The dependent parameters in the simulation of Ring Compression Test were as follows: hot forging job, heat transfer coefficient 5 W/(m2K), collision velocity 0.008333 m/s and top die movement depth 7 mm (50%). From the results of the study, it might be identified that temperature variation does not have significant influence of dimension change while. On the other hand, the results of lubrication variation show that the higher the collision coefficient is the lower the diameter on the Ring Compression Test will be.
The Loss Analysis Of Fresh Water Pump Pressure On PVC/Paralon Pipeline
Authors: Pramono Sri , Julianto Eko
Published: November 2019

Calculating fluid pressure number is important in designing a pipeline system. When fluid is passing through the pipe, the pressure number is decreased, resulting in the decreasing of height set by the pump. If the height of fluid pressure in the pipeline is higher than that set by the pump, the fluids will fail to deliver. This research used a Sanyo pump type P-WH137C with 125 Watt electrical power, 1.55 Ampere electric current, 220V-50Hz voltage, maximum capacity 30 liter/minute with maximum flow height on 30 m and maximum water temperature at 45°C. This research aimed to find out the loss of water pressure’s height on two plastic pipes (paralon) sized 0.5 inch with 177 cm long and another one sized 0.75 inch with 102 cm long, each of which has one elbow and uses two valves.
A study: query expansion methods in information retrieval
Authors: Afuan Lasmedi , Ashari Ahmad , Suyanto Yohanes
Published: November 2019

This paper study about a review of the literature on Query Expansion (QE) methods. The main aspects of the review study are the methods, limitations of the QE methods, and datasets used in QE. As the results of this study, we can conclude several methods used on QE i.e., Ontology, Association Rules, Wordnet, Methathesaurus, Synonym mapping, Concept-based, Local Co-occurrence, and Latent Semantic Indexing (LSI). Each of the methods still has limitations. For datasets used in QE, many researchers use public datasets.
How big data analytics affect management control in indonesian companies
Authors: Maulana Dimaz , Kwek David , Wang Gunawan , Kaburuan Emil Robert
Published: November 2019

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Shrimp 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

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

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

Sea-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.
Mapping Social Work Field Education in the 21st Century: A National Survey of the Australian Context
Authors: Cleak Helen , Zuchowski Ines
Published: November 2019

Field education is a key curriculum component in social work programmes and students identify their placement as central to their transition to practice. Globally, changes in higher education, increasing the complexity of practice and an increasingly diverse student body, are challenging field education programmes to meet these professional and resource challenges. This article reports on Australian research which surveyed social work field education programmes in relation to staffing, supervision and other developments shaping social work field education. Twenty-four field education coordinators of thirty social work programmes completed the survey and the findings highlighted worrying trends including increasing student to staff ratio, insufficient social worker supervised placements, increased placements with external (off-site) supervision and employment of casual staff to undertake core tasks such as supervision and liaison. The results provide important benchmarking evidence which will resonate with the wider international social work education context.
The role of hummingbirds in the evolution and diversification of Bromeliaceae: unsupported claims and untested hypotheses
Authors: Kessler Michael , Abrahamczyk Stefan , Krömer Thorsten
Published: November 2019

At least half of the 3600 species of Bromeliaceae are pollinated by hummingbirds. There is little doubt that the four to 12 evolutionary shifts towards and c. 32 shifts away from hummingbird pollination opened new evolutionary spaces for bromeliad diversification, and that hummingbird pollination has led to increased bromeliad diversification rates. However, the mechanisms leading to these increased rates remain unclear. We here propose that there are four main types of mechanisms that may increase diversification rates of hummingbird-pollinated bromeliad clades: (1) bromeliad speciation through adaptation to different hummingbird species; (2) increased allopatric speciation in hummingbird-pollinated clades due to lower pollen transfer efficiency compared with other pollinators; (3) differential speciation rates in hummingbird-pollinated clades dependent on of flowering phenology and hummingbird behaviour; and (4) higher speciation rates of bromeliads in montane environments (where hummingbird pollination predominates) due to topographic population fragmentation. To date, none of these hypotheses has been appropriately tested, partly due to a lack of data, but also because research so far has focused on documenting the pattern of increased diversification in hummingbird-pollinated clades, implicitly assuming that this pattern supports an underlying mechanism while ignoring the fact that several competing mechanisms may be considered. The aim of the present review is to increase awareness of these mechanisms and to trigger research aimed at specifically testing them. We conclude that much additional research on the roles of hummingbird behaviour and gene flow between bromeliad species is needed to elucidate their contribution to the evolution of diversity in bromeliads and other plant families.
Individualized Cortical Parcellation Based on Diffusion MRI Tractography
Authors: Han Meizhen , Yang Guoyuan , Li Hai , Zhou Sizhong , Xu Boyan , Jiang Jun , Men Weiwei , Ge Jianqiao , Gong Gaolang , Liu Hesheng , Gao Jia-Hong
Published: November 2019

The spatial topological properties of cortical regions vary across individuals. Connectivity-based functional and anatomical cortical mapping in individuals will facilitate research on structure–function relationships. However, individual-specific cortical topographic properties derived from anatomical connectivity are less explored than those based on functional connectivity. We aimed to develop a novel individualized anatomical connectivity-based parcellation framework and investigate individual differences in spatial topographic features of cortical regions using diffusion magnetic resonance imaging (dMRI) tractography. Using a high-quality, repeated-session dMRI dataset (42 subjects, 2 sessions per subject), cortical parcels were derived through in vivo anatomical connectivity-based parcellation. These individual-specific parcels demonstrated good within-individual reproducibility and reflected interindividual differences in anatomical brain organization. Connectivity in these individual-specific parcels was significantly more homogeneous than that based on the group atlas. We found that the position, size, and topography of these anatomical parcels were highly variable across individuals and demonstrated nonredundant information about individual differences. Finally, we found that intersubject variability in anatomical connectivity was correlated with the diversity of anatomical connectivity patterns. Overall, we identified cortical parcels that show homogeneous anatomical connectivity patterns. These parcels displayed marked intersubject spatial variability, which may be used in future functional studies to reveal structure–function relationships in the human brain.
Temporal and Genotypic Associations of Sporadic Norovirus Gastroenteritis and Reported Norovirus Outbreaks in Middle Tennessee, 2012–2016
Authors: Parikh Meghana P , Vandekar Simon , Moore Christina , Thomas Linda , Britt Nathan , Piya Bhinnata , Stewart Laura S , Batarseh Einas , Hamdan Lubna , Cavallo Steffany J , Swing Ashley M , Garman Katie N , Constantine-Renna Lisha , Chappell James , Payne Daniel C , Vinjé Jan , Hall Aron J , Dunn John R , Halasa Natasha
Published: November 2019

Background

In the United States, surveillance of norovirus gastroenteritis is largely restricted to outbreaks, limiting our knowledge of the contribution of sporadic illness to the overall impact on reported outbreaks. Understanding norovirus transmission dynamics is vital for improving preventive measures, including norovirus vaccine development.

Methods

We analyzed seasonal patterns and genotypic distribution between sporadic pediatric norovirus cases and reported norovirus outbreaks in middle Tennessee. Sporadic cases were ascertained via the New Vaccine Surveillance Network in a single county, while reported norovirus outbreaks from 7 middle Tennessee counties were included in the study. We investigated the predictive value of sporadic cases on outbreaks using a 2-state discrete Markov model.

Results

Between December 2012 and June 2016, there were 755 pediatric sporadic norovirus cases and 45 reported outbreaks. Almost half (42.2%) of outbreaks occurred in long-term care facilities. Most sporadic cases (74.9%) and reported outbreaks (86.8%) occurred between November and April. Peak sporadic norovirus activity was often contemporaneous with outbreak occurrence. Among both sporadic cases and outbreaks, GII genogroup noroviruses were most prevalent (90.1% and 83.3%), with GII.4 being the dominant genotype (39.0% and 52.8%). The predictive model suggested that the 3-day moving average of sporadic cases was positively associated with the probability of an outbreak occurring.

Conclusions

Despite the demographic differences between the surveillance populations, the seasonal and genotypic associations between sporadic cases and outbreaks are suggestive of contemporaneous community transmission. Public health agencies may use this knowledge to expand surveillance and identify target populations for interventions, including future vaccines.