bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Curriculum 2013 Implementation in Vocational High Schools in the Special Region of Yogyakarta
Authors: Wagiran  , Pardjono  , Purnomo Edy , Triwiyono Endri 
Published: November 2019

Abstract
Generally, vocational high schools in the Special Region of Yogyakarta have implemented Curriculum 2013in the learning process. This study aims at obtaining a depiction of the Curriculum 2013 implementation by conducting a survey on vocational high school teachers in the Yogyakarta province as the research sample. The data were collected through a variation of survey, documentation, and interviews; and analyzed descriptively. The findings suggest that the implementation of Curriculum 2013 in vocational high schools can be assessed in three components, namely the conformity between Curriculum 2013 and the vocational high schools, the curriculum implementation, as well as the motivation and support of the school. The first component reveals a high percentage with 82.53%, while the second and last components have relatively low and moderate percentage, with 75.63% and 78.80%, respectively.
Development of Industrial-Work Culture through Teaching Factory Program in Vocational Schools
Authors: Wulandari Iswayuni , Sudiyatno  
Published: November 2019

Abstract
This study aims to describe the industrial culture of SMK N 1 Kalasan. This research is an evaluation research with a gap model. The data collected came from State Vocational Schools in Sleman as reference schools, through interviews and observations, then analyzed descriptively. Indicators of industrial culture in the teaching factory are measured based on guidelines from teaching factory governance from the Directorate of Vocational Development, namely: management, team work, human resources, workshops, learning patterns, product-services, marketing production, and industrial and consumer relations. The results of this study indicate that these indicators show mostly as very good categories.
Competency Analysis The Field Of Expertise Of Automotive Engineering In Automotive Engineering Curriculum Of FT UNY
Authors: Suyanto Wardan , Budiman Agus , Fatah Amir , Efendi Yosep , Latif Isna , Hanif Hidayah Yunanto , Saputra Mifta 
Published: November 2019

Abstract
The study aimed to: (1) mapping the competencies of graduates in the field of Automotive Engineering Education Study Program of the FT UNY required by the TKRO of Vocational Expertise and the Automotive Industry, (2) Identify the competencies in the field of Automotive Engineering which occupied by graduates of the Automotive Engineering Education Study Program of the FT UNY in order to meet the needs of TKRO Vocational School and Automotive Industry, and (3) Determine the relevance of the competencies in the field of Automotive Engineering which is possessed by graduates of the Automotive Engineering Education Study program with the competencies required by TKRO Vocational and Automotive Industry. This research was descriptive research with a survey of senior teachers at the TKRO Vocational School and the vehicle service industry in the Special Region of Yogyakarta. Data collection techniques used questionnaire and interview methods by using the questionnaire instruments and interview guidelines. The data analysis technique used quantitative descriptive analysis in the form of percentages and qualitative descriptive analysis. Based on the responses the party of the Vocational School, the soft skill competencies of the highest order and most needed are knowledge, discipline, and honesty. The competencies possessed by graduates of the Automotive Engineering Education Study Program of FT-UNY from the highest to the lowest are discipline, honesty and interest. The graduates of PTO FT UNY are superior to the theoretical aspects than the practical aspect. Based on the response of the Automotive Industry, the soft skills needed by the industry from the highest to the lowest are honesty, discipline, and cooperation. The competencies possessed by graduates from the highest to the lowest are honesty, cooperation, and discipline. The material mastery of the graduates of the Automotive Engineering Education of FT UNY based on the theory and practice showed that the theoretical ability of the graduates of PTO FT UNY is better than practical abilities.
The implementation of the revised 2013 curriculum of cullinary at vocational school SMKN 4 Yogyakarta and SMKN 6 Yogyakarta
Authors: Marwanti  , Yuriani  , Auliana R 
Published: November 2019

Abstract
This study aims to describe the readiness of the teachers teaching the Culinary productive subjects in implementing the 2013 Curriculum at Vocational High Schools (VHSs) in Yogyakarta Municipality on the extent of 1) planning the learning process, 2) implementation of learning, 3) assessment of learning outcomes, and 4) identifying the obstacles the teachers deal with and the possible solutions taken in implementing the 2013 curriculum.
This is a descriptive research study conducted in February - June 2018 at vocational school SMKN 4 Yogyakarta and SMKN 6 Yogyakarta as the state VHSs implementing the 2013 Curriculum. The data were collected by means of observation, documentation, and questionnaire, and were analyzed by the descriptive statistics.
The results of the study show that the readiness of the teachers of Culinary subjects in implementing the 2013 Curriculum at VHSs in Yogyakarta municipality are described as follows. (1) the planning of the learning process, (2) implementation of learning, and (3) assessment of learning outcomes are in Good category. In addition, (4) it is found that the obstacles faced by the teachers of Culinary subjects include: (a) the lack of learning resources such as practical or productive coursebooks, (b) the lack of teaching hours so that they should take over those of other subjects to fulfill the target, (c) the number of administrative stuffs that teachers must prepare especially for the assessment aspects, and (d) the lack of available internet facilities, so that learning which requires the internet connection is constrained. Of the several constraints existing in the implementation of the 2013 Curriculum in Culinary at VHSs in Yogyakarta, the solution put forward is taking the hours of other subjects so that the needed hours for the practicum sessions can be fulfilled.
The Utilization Of Coconut Shell Waste As The Helmet Coating Materials For Motorcycle Riders
Authors: Sulistyo Bambang , Nugroho Rio , Prihantoro Rino 
Published: November 2019

Abstract
Coconut tree is a plant that can be easily found almost in every corner of Indonesian archipelago, therefore there are plentiful number of coconut produced here. Currently, the utilization of coconut shell waste is still limited to homemade furniture industries and crafts. It has not been made into technology product. The utilization of coconut shell waste as the helmet coating materials to be creative business product is an innovation in the form of helmet product making use of coconut shell waste. The second-hand helmet can be redesigned and recreated by making use the coconut shell waste as the outer coating. In other words, the ordinary or broken helmet can be transformed into a helmet which has unique, aesthetic and economical values. It is because coconut shell waste has a big potential to be made as a strong coating of motorcycle helmet that is more eco-friendly and is supporting the idea to utilize the waste into a valuable and sophisticated product. Accordingly, this research was conducted to make use the potential of coconut shell waste as unique, endurable, strong, and valuable helmet coating in order to answer the problem related to the large amount of coconut shell waste. This research found that coconut shell waste can be successfully turned into and used as helmet coating and in making a strong helmet from coconut shell waste, the thickness and weight of a coconut shell may have effect on the hardness level of the shell. The most effective hardness of coconut shell discovered in this research was 3.3 mm thick with 5 grams of weight.
E-learning implementation using user experience questionnaire
Authors: Pandu  , Fajar Ahmad Nurul 
Published: November 2019

Abstract
Online learning system or commonly called e-Learning which is commonly applied to the world of education, is now increasingly used in companies with diverse business fields. The concept of e-Learning is a transformation of conventional learning into digital form. The concept of e-Learning is now widely known and can be accepted in the community as evidenced by the many applications in the world of education and business. The aim to be achieved in this study is to implement e-Learning to PT MRK Diagnostics and find out whether or not there are inhibiting factors in implementing e-Learning to PT MRK Diagnostics. The method used to obtain recommendations after using e-Learning uses the User Experience Questionnaire (UEQ) method to find out the impression of using e-Learning that affects employee performance. Edmodo e-Learning has positive impression values in the Attractiveness (1,950), Perspicuity (2,100), Efficiency (1,775), Dependability (1,575), Stimulation (1,125), and Novelty (0.875) groups.
Clustering Steam User Behavior Data using K-Prototypes Algorithm
Authors: Ranti Kiefer Stefano , Salim Kelvin , Girsang Abba Suganda 
Published: November 2019

Abstract
The use of user telemetry to gather player behavioral data on video games can be very beneficial to game developers with a certain business model. With the help of user telemetry in game development, it can provide access to data on user behavior from installed game clients platform such as Steam. These behavioral data can be used to find out the Steam user behavioral patterns on playtime distributions that can be studied by developers in order to have a deeper understanding of the behaviors of their players. In this study, the data are clustered using the k-prototypes algorithm, a combination of k-means and k-modes algorithm that can be used to cluster mixed attributes. The result shows that the clusters represent the types and preferences of the players.
Design and implementation of obstacles detection in self-driving car prototype
Authors: Sari R P , Wibawa I P D , Ekaputri C 
Published: November 2019

Abstract
Technology progresses very rapidly that makes a variety of industries vying to produce new innovations, especially the automotive industry. One example of innovation in the automotive industry is a self-driving car that can drive itself. Therefore, a self-driving car prototype is needed. This research focuses on the obstacles detection and calculation of obstacle distance. The obstacle detection uses a webcam with digital image processing. Obstacles which are detected are quiescent blue object that blocks the path of a self-driving car prototype and red light of traffic lights. The results of this research have a success rate at distance from webcam to object with actual distances of 38,3 cm and 55 cm amounting to 85,9% and 92,83%, the success rate at distance from webcam to blue obstacle with actual distances of 37,8 cm and 44,5 cm are 91,865% and 97,744%, the test results of red HSV value have accuracy 80%, precision 76,47%, and recall amounting to 86,667%, and the test results of blue HSV value have accuracy 83,33%, precision 81,25%, and recall 86,667%.
K-Nearest Neighbor for colon cancer identification
Authors: Caecar Pratiwi Nor Kumalasari , Magdalena Rita , Fuadah Yunendah Nur , Saidah Sofia 
Published: November 2019

Abstract
Colon cancer or colorectal cancer is a type of cancer that attacks the last part of the human digestive system. Lymphoma and carcinoma are types of cancer that attack humans colon. Colon cancer causes deaths about half a million people every year. In Indonesia, colon cancer is the third largest cancer case for women and second in men. Unhealthy lifestyles such as minimum consumption of fiber, rarely exercising and lack of awareness for early detection are factors that cause high cases of colon cancer. The aim of this study is to produce a system that can detect and classify images into type of colon cancer lymphoma, carcinoma, or normal. The designed system used 198 data colon cancer tissue pathology, consist of 66 images for Lymphoma cancer, 66 images for carcinoma cancer and 66 for normal/healthy colon condition. This system will classify colon cancer starts from image preprocessing, feature extraction using Principal Component Analysis (PCA) and classification using K-Nearest Neighbor (K-NN) method. Several stages in preprocessing are resized, convert RGB image to grayscale, edge detection, and last histogram equalization. Tests will be done by trying some K-NN input parameter settings. The result of this study is an image processing system that can detect and classify type of colon cancer with high accuracy and low computation time.
Spatial data gathering architecture for precision farming using web services
Authors: Fibriani C , Ashari A , Riasetiawan M 
Published: November 2019

Abstract
Precision Farming (PF) is an agricultural business with an approach that enables careful treatment using several technologies to support it. The concept of PF can be used in all aspects of the crop production cycle from soil testing to harvesting. Soil Testing is a phase to test the conditions of the suitability of the soil to certain varieties. The land suitability variables used are soil type, slope, and altitude. However, the data was stored on other sources with different platforms and web service is the answer to this issue. This paper will approach the Soil Testing phase using the type of spatial data that can be used as a variable in determining land suitability for particular vegetation, which is using web service technology to collect the data. Using the overlay method combine the spatial, that is collected using Geographic Information System (GIS) web services, to produce a land suitable map for soil testing phrase. Land mapping can be used for decision-making processes related to the vegetation suitability. Spatial data gathering architecture for precision farming using web services, in this case, which is soil testing phrase, is the result of this paper.
A numerical study of Poisson equations: steady heat distribution with one-point source
Authors: Solekhudin Imam 
Published: November 2019

Abstract
In this paper, Poisson equations are considered. Especially, equations which governed problems involving steady heat distribution with a point source. The heat distribution problems studied are over thin plates. Generally, these problems may not be solved analytically. Hence, a numerical method called Dual Reciprocity Method (DRM) is employed to solve the problems. Using this method, some of the numerical results are presented and discussed to investigate the influence of source positions to heat distribution over thin plates.
Post-stroke rehabilitation robot for knee: a compact design and manufacture
Authors: Herianto  , Febryantho Ilham Adityarsena , Mastrisiswadi Hasan 
Published: November 2019

Abstract
The number of stroke patients is increasing every year. Many studies have been carried out to rehabilitate post-stroke patients; one of them is using robotic assistance. However, rehabilitation robots, especially for lower limbs, are usually large, so they are less active. This study aims to design and manufacture compact lower limb rehabilitation robots, which focus on the knee so that the rehabilitation process can run effectively. After being designed and manufactured, the rehabilitation robot is also tested whether it can run well. Based on measurements between the motion sensor and the actual movement, there is almost no difference in distance. Besides, from the graph of position, speed, and acceleration, the rehabilitation robot runs well.
SWOT analysis and strategy formulation for cocoa small and medium enterprise development in Nglanggeran area, Gunung Kidul regency-Indonesia: the case of Taman Teknologi Pertanian
Authors: Fauzi A A , Falah M A F , Suwondo E 
Published: November 2019

Abstract
Cocoa is one of the potential agricultural resources in Indonesia but still lacks the attention of stakeholders to get the best economic value. It is important to encourage the cocoa business industry to capture opportunities in the cocoa processing business in the future. Taman Teknologi Pertanian in Nglanggeran is an SME that is also a business incubator that has produced various chocolate products. The design used in this research was explanatory research with the process of data collection through interviews, observation, and questionnaires. This analysis consists of two steps of weighting and prioritizing. The weighted score of the IFE and EFE matrix is (2.5671; 3.1132). SWOT diagram is used to determine the current position of the company which is on the second quadrant (1.1895;-0.0460) which refers to the S-T strategy. The chosen strategy triggered to do diversification strategy as doing product innovation gradually according to consumer needs. Concentric diversification for internal can be done by utilizing cocoa peel waste as scrubs, whereas, concentric diversification for external can be done by developing agro-tourism. These strategies support sustainability in the area.
Switching over technique to fault tolerant function of DC-bus battery in dual inverter motor drive
Authors: Oto Yoshiaki , Fauziah Melinda Badriatul , Noguchi Toshihiko 
Published: November 2019

Abstract
The dual inverter motor drive feeding an open-end winding PM motor is focused on for mileage improvement and autopilot technologies of hybrid and electric vehicles. Autopilot operation requires the fault tolerant functions which achieve to keep controlling the motor, even if some failure occurs in the system. In this paper, the fault tolerant function of the DC-bus battery in the dual inverter motor drive system is discussed. The system has a battery and a capacitor across the DC-bus of each inverter. The capacitor is utilized to keep operating the motor, instead of the failed battery in the fault tolerant function. In this time, however, it is necessarily to control the capacitor voltage of the failed side inverter at constantly with the space vector modulation (SVM). In particular, it is required to regulate the capacitor voltage of the failed inverter at a half of the battery voltage of the normal condition inverter. Therefore, the capacitor voltage must be discharged immediately after some failure is occurred in the battery of one of the inverters. In this paper, the switching over techniques from the normal condition to the fault tolerant function is proposed, and the proposed technique is examined through several computer simulations.
Estimating the state of charge on lead acid battery using the open circuit voltage method
Authors: Al Hadi A. Muh. Rifqa , Ekaputri Cahyantari , Reza Muhamad 
Published: November 2019

Abstract
This research investigates one of the methods to estimate the State of Charge (SoC) of a lead-acid battery with an Open Circuit Voltage (OCV) method. Determining the battery voltage in open circuit condition with standard temperature (25oC). Observing the OCV of the battery on the discharging cycle then compare with the increasing and decreasing of the battery voltage in open circuit condition (OCV) that can show the SoC battery to determine the capacity of the battery. Then using the Coulomb Counting method to compare the estimated SoC by OCV method. The result shows that there is a different value measured by these two methods at the early and later stages during the discharge cycle of a lead-acid battery.
Detection of satellite data-based flood-prone areas using logistic regression in the central part of Java Island
Authors: Pratidina G , Suroso  , Santoso P B 
Published: November 2019

Abstract
The history of natural disasters recorded in BNPB (2019) explains that the total number of natural disaster events in the central part of Java (Central Java Province and Special Region of Yogyakarta Province) ranks highest in terms of the number of frequency of occurrences nationally. Of the total natural disasters that have occurred in Central Java, the number of floods is ranked third after the landslide and tornado disaster, which is around 1500 disasters. Various factors that can cause flooding cannot be eliminated. However, what is more, necessary is how to control the impacts caused by floods so that they can be managed and monitored appropriately. One effort to overcome the problem of the threat of flooding is to develop a detection model for flood-prone areas. In this study, the detection of flood-prone areas was carried out by using a logistic regression method that takes into account the variables that cause flooding such as elevation, land slope, river distance, flow accumulation, rainfall, and runoff coefficients. The results of the modelling, obtained coefficients of the variables/parameters mentioned earlier, namely intercept (5.05766 – 16.13210), rainfall (-0.01547 – 0.04075), elevation (-0.02173 – -0.00592), slope (-0.28108 – -0.01940), runoff coefficient (-9.10476 – 7.15039), river distance (0.00038 – 0.00783), and flow accumulation (-9.26342E-06 – 0.00309). The level of success in this modelling testing was 93.47826% -98.26087% of 329 flood event data points and not floods.
Brownian Dynamics Simulation of Colloidal Gels as Matrix for Controlled Release Application
Authors: Meidia Hira , Irfachsyad Danial , Gunawan Dennis 
Published: November 2019

Abstract
The form of crystallization colloidal gels is important as matrix for controlled release application. In this work, we use the Brownian Dynamics simulation to study the formation of gels by varying the inverse Debye length. We choose a fixed volume fraction, ϕ = 0.1 and a fixed quenched temperature at room temperature, while the inverse Debye length, κ, is varied. To ensures that the simulations cover the fluid-phase region down to the unstable phase region above the critical coagulation concentration, the inverse Debye length is varied between κ = 120σ−1 to 250σ−1. It shows that at the inverse Debye length κ = 250σ−1 the gel forms by colloidal particles that can support the active ingredient by forming long range network.
Sensitivity of Localized Surface Plasmon Resonance (LSPR) Au Nanorod with Methylene Blue Medium Using Boundary Element Method Simulation
Authors: Sofani Miyah , Kuddah Muhammad Sujak Mansur , Putra Miftahussur Hamidi , Djuhana Dede 
Published: November 2019

Abstract
We have calculated the sensitivity of gold nanorod (AuNR) in water solution and methylene-blue based on boundary element method with varying diameter of the nanorod, D are 20 nm, 40 nm, 60nm, and 80 nm. The aspect ratio was varied from 1.5 to 3.5 according to diameter. The dielectric function of AuNR based on Christy and Johnson experiment. To understand the sensitivity sense, we have also varied the medium refractive index is n = 1.3334 (100% water pure) and n = 1.347 (100% methylene-blue pure). The sensitivity of LSPR Au nanorod was determined by the gradient of the peak of wavelength to the refractive index medium variation for all aspect ratio. The LSPR of AuNR consisted of a longitudinal and transversal mode. The longitudinal mode appeared higher wavelength than the transversal mode in LSPR spectra and the peak of wavelength increased as the aspect ratio increased while in transversal mode the peak of wavelength relatively was constant. Furthermore, the sensitivity in longitudinal mode increased as the aspect ratio increased whereas the sensitivity in transversal decreased as the aspect ratio increased. Increasing the sensitivity in longitudinal mode related to red-shift as the nanorod volume increased and the refractive medium index change.