bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of implementation of health and safety in industry and vocational school in Yogyakarta Special Region
Authors: Wijanarka BS , Sukardi Th. , Rahdiyanta D. , Ngadiyono Y. 
Published: November 2019

Abstract
The objectives of this study were: (1) to describe the application of occupational safety and health in the machinery industry in the Yogyakarta area, (2) describe the application of OSH in vocational schools in Yogyakarta and (3) evaluate how the application of Occupational Safety and Health (OSH) in the machinery industry if applied in the implementation of OSH in vocational schools. The research method used is descriptive qualitative research. Research subjects are PT. Mega Andalan Kalasan, PT. Yogya Presisi Tehnikatama Industri, CV. Karya Hidup Sentosa, SMK Negeri 2 Depok Sleman, SMK Negeri 2 Yogyakarta, and SMK Muhammadyah 3 Yogyakarta. Data collection used observation and interviews. The results of the study: (1) The machinery and manufacturing industry in the Yogyakarta area has carried out OSH aspects including occupational safety, occupational health, and OSH management in accordance with the OSH application rules for industry, (2) SMKs in the Yogyakarta area have not implemented all aspects of OSH implementation in accordance with industry standards. The application of occupational safety aspects is still lacking, the application of occupational health is still lacking, and management aspects have not been implemented, and (3) SMKs should implement OSH management in accordance with industry standards, especially OSH management, namely: (a) OSH education and training, (b) socialization of OSH in schools, and (c) provision of personal protective equipment, and (d) health services in schools.
Exhaust Gas Emission from Automotive Workshop Facilities of Vocational School in Yogyakarta
Authors: Arifin Zainal 
Published: November 2019

Abstract
Management of learning facilities and infrastructure is not only a learning arrangement, and physical facilities, but prepares classroom conditions and school environment in order to create comfort and an effective learning atmosphere. Therefore, schools and classes need to be managed properly, and create a supportive learning climate. One of the problems in the management of practical facilities is exhaust gas emission produce from practice facilities. The purpose of this study is to identify the load of emissions produced by vocational school practice facilities.
The approach of this research is quantitative research, with descriptive methods, and research techniques using surveys. The research population is a practice facility in the Automotive Engineering Workshop in 9 (nine) Vocational Schools in Yogyakarta.
The results showed that the exhaust gast emission potential from the Automotive Engineering Program in the city of Yogyakarta, based on data collected through surveys, can be calculated estimated fuel consumption per year and the amount of emissions from several emission factors according to applicable standards. Amount of emission: NOx 0.08134 (Ton / year), SOx 0.00077 (Ton / year), NMVOC 0.06539 (Ton / year), PM10 0.00349 (Ton / year), CO 2.73184 (Ton / year), and CO2 48.32946 (Ton / year ) Although the source of exhaust emissions from the workshop practice facilities of the Automotive Engineering Expertise in the city of Yogyakarta has a small emission value when in a single situation / condition, it can provide significant potential when accumulating or area, causing a negative impact on the health of both students and teachers that is around it.
Design Improvement of Energy-Saving and Eco-Friendly Car as Transportation Facility
Authors: Arifin Zainal , Sofyan Herminarto , Solikin Moch. , Haryana Kir 
Published: November 2019

Abstract
The increase of transportation facility needs raises a problems, especially pollution caused by motor vehicle exhaust that directly affects the decline of air function. Consequently, it is needed an effort to build alternative technologies and eco-friendly vehicles as transportation, in order to reduce the negative impact of exhaust emissions from fossil-fueled vehicles. This research was conducted to design and improve energy-saving and eco-friendly product that can be utilized as transportation. Accordingly, to improve the design of energy-saving and environmentally friendly vehicles, this research is conducted using research and development, for 5 years, starting in 2017 until 2021. Based on a survey towards 327 people that spread across major cities in Indonesia, the result reveals that the design of energy-saving and environmentally friendly vehicles required is a multi-purpose vehicle (multi-purpose vehicle / MPV). By considering the aspect of energy consumption and its impact on the environment, then the concept to improve is city car vehicle concept with 2 seats capacity plus baggage which is able to carry load of 60 kg. The selected vehicle specifications includes 2200 mm long dimension, 1800 mm width, 1700 mm height, 160 mm clearance ground, 1000 cc engine capacity, and 2 x 3000 W motor capacity.
Identification Of Fault Components In Diesel Engine Sounds On Train Using Neural Network
Authors: Winjaya Fathurozi , Darmawan Arief , Diah Mariana , Setyo Dhina , Sunaryo  
Published: November 2019

Abstract
The diesel engine damage is a typically found-problem in a train. One of the examples from such damage is the damage on components or known as fault components. Fault components occur because the engine does not attain its maximum performance due to the various causes starting from injector damage to injection pump damage. These damages have different sound characteristics. Based on the differences in sound characteristics, expert engineers might identify and categorize the type of damage within the diesel engine by using condenser microphone installed within 1 meter from the source of the engine sound with HPF and FFT (Fast Fourier Transform). The three sources of sound have different frequency. The normal diesel engine has dominant frequency under 1 kHz while the diesel engine sound with injector damage has the dominant frequency under 2 kHz and the diesel engine sound with injection pump damage has dominant frequency above 2 kHz. The data are gathered and processed using Neural Network with RMSE (Root Mean Square Error) 0.001.
Analysis Of Soil Improvement Using Bamboo Net-System On Railway
Authors: Wahyu Erlangga Aditya , Jamaludin  , Handoko  , Priyanto Sapto , Cosmalinda Laynardo Devi 
Published: November 2019

Abstract
Soft soil conditions and shallow groundwater positions are found in the project process of the Railway Double Track, so it may reduce the carrying capacity of the soil and cause a decrease in soil if the soil is given a load. Based on the sondir test for soil with a value of qc> 10 kg / cm2 at a depth of below 20 m, bamboo net may use as soil improvement as a more environmentally friendly alternative. Bamboo net-systemhas a diameter of 10 cm and a length of 5 meters, and the distance between the poles is 60 cm = 6 x 10 (6D). The total of bamboo was 8 stems. Soil improvement using bamboo net of 10 cm in diameter and 5 meters length, with a distance between bamboo 60 cm, then it obtained analysis results of the carrying capacity of 738.8 kN / m2. The train voltage and landfill are 249, 295 kN / m2 <carrying capacity of the group pole is 738.8 kN / m2. Based on the results of the density test of Sand Cone obtained a degree of density of 96.5%.
The Effect Of Material Exposure Variations On Energy Absorption Capability And pattern Of Deformation Material Of Crash Box Of Three Segments
Authors: Artha Wirawan Willy , Zulkarnain Akbar , Boedi Wahjono Hari , Jamaludin  , Tyas Damayanti Ajeng 
Published: November 2019

Abstrak
Crash box is part of the supportingcomponents on vehicle safety, especially cars. The crash boxis designed to reduce the occurrence of driver’s injuries due to collisions. This study aimed to determine the capability of energy absorption and deformation patterns in the crash box using a three-segment circle cross-section. The research method was quasi-experimental with a simulation using Finite Element Method software. The crash box simulation carried out with a 200 kg impactor on a speed of 7.67 m/s. The independent variable in this study is the material exposure variation in the crash box using steel-aluminum-steel and aluminum-steel-aluminum. The dependent variables were energy absorption, force reaction and deformation patterns occurring in the crash box. Based on the simulation results, the values ofenergy absorption was 82452 J and force reaction was 1127700 N in the crash box of steel-aluminum-steel material. Meanwhile, the crash box material of aluminum-steel-aluminum has an energy absorption value of 236210 N, force reaction of 12432 J and a better and more stable on deformation pattern.
Reliability and usability analysis of the implementation ERP in host to host payment system: A case study
Authors: Fitriani  , Witjaksono R Wahjoe , Saputra Muhardi 
Published: November 2019

Abstract
The telecommunication industry in Indonesia built a system of direct payment transactions to vendors. The level of quality that exists in the host to host the payment system is currently the goal of the research. Identifying the quality system is important in the quality assurance process to prove the system is fit to apply in industry. Quality system measurement can use the ISO 9126 model. This model has measurement standards that are valid and reliable in measuring quality system. The variables analyzed in this study are the reliability and usability of the system. The reliability system is often interpreted as the resilience of a system or component to function properly if operated in certain environmental conditions and supported by the usability of the system. The usefulness of the system is the ability of software to be understood, studied, used, and appealed to users. This variable can be a measure of quality system measurement. The results of this study are recommendations based on the lowest scores obtained from the measurement test. The lowest value in this study is system recovery which includes system reliability. The proposed recommendation is to replace the Oracle 12 database with SAP HANA because it has a faster response time so that it can support the development of the company going forward.
Implementation of security system on humanitarian organization: case study of dompet dhuafa foundation
Authors: Kaburuan Emil R. , Lindawati ASL 
Published: November 2019

Abstract
System security management can increase public confidence in the information produced and processed by a company and increase the quality assurance of information. To reduce the threat to the company’s business process information system, there must be an assessment of information system security management needed to support the company’s business processes, especially in the humanitarian foundation, in this case, is “Dompet Dhuafa Foundation.” In the use of information systems, security risks will arise, which will hurt the institution. In order to reduce the negative impact, it is necessary to handle the security risks of the system. ISO / IEC 27001 offers a set of specifications, a code of ethics, and best practice guidelines to ensure the management of IT (Information Technology) services. ISO 27001 is a standard that is often used to determine the need to implement information system security. With the application of ISO / IEC 27001, It can protect aspects of information security, namely confidentiality, integrity, and availability.
Decision support system using data warehouse for retail system
Authors: Girsang Abba Suganda , Arisandi Geri , Elysisa Calista , Michelle  , Saragih Melva Hermayanty 
Published: November 2019

Abstract
CMK company is a retail company that sell and distributes miniature vehicle items to small stores. CMK has several branches in various countries that use for operational and storage warehouse. This company faces the problem for analysing sales to decide the useful strategy since this company only uses Online Transaction Processing (OLTP) database. This study implements Online Analysis Processing (OLAP) database and data warehouse to provide useful information for this company by using the nine-step method designed by Kimball & Ross. The data will be performed into dashboard to make easier for CMK Company to analyze data. Furthermore, many useful information can be provided in short and efficient time.
Application for determining the modality preference of student learning
Authors: Kurniawan Yogiek Indra , Rahmawati Anggit , Chasanah Nur , Hanifa Aini 
Published: November 2019

Abstract
Learning modality is the sensory sensitivity of the individual when receiving, storing, and conveying information. Each individual has a personal character and varied sex that influences the type of learning modality. Learning modality consists of four types of visual, auditorial, read-write and kinesthetic (VARK). To measure students’ learning modalities preference was used VARK Questionnaire 7.1 which contained 16 standard questions through paper media. Paper media is less efficient and effective both in the dissemination and analysis of questionnaires results based on study program and sex, because it made the application of determinants of student-based learning modalities modality using Research and Development (R&D) method with PHP programming language and MySQL database, this application features a percentage analysis of students’ learning modalities preference based on study program and sex. This application aims to facilitate the students to know the analysis of modal preference results in accordance with the rules of the limit of the difference of points specified and can display the percentage of overall learning modalities based on sex in accordance with the study program. Based on the results of application acceptance test by students of Faculty of Communication and Informatics Muhammadiyah University of Surakarta known as many as 87% of respondents agreed that the application determinants of learning modalities preference can present information and determine the preferences of learning modalities, easy to use and looks interesting.
Influence of physical and network security on company efficiency using SEM
Authors: Bernanda D. Y. , Wang Gunawan , Kaburuan E. R. , Jayadi R. 
Published: November 2019

Abstract
A computer network is a system consisting of two or more computers that are interconnected and designed to share resources, communicate, and access information. Nowadays, IT security plays an important role in a company. The purpose of this study is to get an overview of the performance of IT security and network security to improve the efficiency of company. Implementing IT security and network security, however, poses major challenges to many organizations. To ensure IT and network security, the article applies SEM method to analyze its influence in performance efficiency. The research results show that physical security is more influential on enterprise efficiency than network security. The outcome of the article is expected to deliver reference for companies to apply appropriate physical and network security.
Implementation of direction control on self-driving car prototype
Authors: Fauziah N E , Wibawa I P D , Ekaputri C 
Published: November 2019

Abstract
A Self-driving car needs sturdy steering system. Therefore designing direction control must be precise to the track. This direction control will help the car know the current position and direct it to the right angle. Directional control results in a turning angle. Turning angle is obtained from the tangent value between two Region of Interest (ROI) in the frame of the camera captured. The turning angle obtained is conditioned to match the angle of the servo motor as the front actuator of the car prototype. The results of this research are the turning angles that are read in the Python program on a straight lane have an average of 90.4198 with an average error of 1,086, the right turning lane has an average turning angle of 99.5502, 112.96973 and 117.0711 with an average error 3.03727, 3.62493 and 3.0636296, the left turn lane 58.7540333, 71.218 and 80.1277667 with an average error of 1.61674, 1.88093 and 1.48696 so that they can direct the car prototype in accordance with the sharpness of the bend in the lane.
Comparison of discrete cosine transform and dual-tree complex wavelet transform based on arithmetic coding in medical image compression
Authors: Novamizanti Ledya , Prasasti Anggunmeka Luhur , Noor Kiranda Ilham Faezar 
Published: November 2019

Abstract
Medical image contains very important information in the medical world used to diagnose diseases by doctors. Storage for storing medical imagery requires large storage media. The difficulty of sending and storing files, hence the process of compression image that can shrink the size of medical image. This research uses the Discrete Cosine Transform and Dual-Tree Complex Wavelet Transform-based Arithmetic Coding. DCT is used in the process of compression of imagery files using the cosine value approach. In DCT, there is a quantization process that causes image quality to decline, as it eliminates some information on imagery. DTCWT uses 2 trees, where tree 1 is for real value and tree 2 for imaginary value. Arithmetic Coding is one of entropy encoding that uses the range and probability values in the calculation. The value of decoding results in Arithmetic Coding has the same value as the original image. DCT produce a higher compression ratio than DTCWT, while DTCWT get higher PSNR than DCT.
Discrete Wavelet Transform on static hand gesture recognition
Authors: Candrasari Erizka Banuwati , Novamizanti Ledya , Aulia Suci 
Published: November 2019

Abstract
The technology in present-day is very useful for human-physical recognition and the hand gesture recognition is one of them. Nevertheless, that technology still had various weakness, for example in the image brightness, contrast, recognition time, and accuracy rate. The objective of this paper was to construct hand gesture recognition system using RGB images. Pre-processing is wrought by resizing the image, separate the hand area, and pick the specific layer. This experiment used the YCbCr because its derived directly from RGB and had a higher contrast compared to other layers. The feature value was gathered from feature extraction on Discrete Wavelet Transform (DWT) using Low-Low sub-band and 2nd level decomposition. The current sub-band had smoothest contours in comparison with other sub-band. The final process was gesture classification using Hidden Markov Models (HMM) and K-Nearest Neighbor (KNN). The amount of training and testing data used were 150 and 100 images respectively, divided into five gestures with accuracy using HMM and KNN consecutively was 58% and 100%. The research novelty was that the classification impacted positively on accuracy level.
Tea leaf maturity levels based on ycbcr color space and clustering centroid
Authors: Wicaksono Bagaskara Aji , Novamizanti Ledya , Ibrahim Nur 
Published: November 2019

AbstractTechnology develops very rapidly in all areas. Smart Farming 4.0 is a farming management concept that uses modern technology to increase quantity and quality. The picking of tea leaves during this time the farmer is only based on the quotes from the planting block. If the block is already arriving, then the block is taken in a thorough plucking. However, the picking time can be erratic due to weather factors. The design of the tea leaf maturity level identification system based on the digital image processing of tea leaves. The leaf image of the tea is then processed on a system that begins with segmentation preprocessing, the image that has been uniform then carried out the extraction of images transformed into the color features of YCbCr. After obtaining the luma and chroma values, the classification using Centroid is based on statistical characteristics. Then the extraction and classifying data is a system database that will then be used during the testing process. The total data of Peko tea leaves (P + 2) is used as much as 90 training images and 90 test images. The maturity classification of tea leaves uses a Centroid Clustering method with centroid 10 based on YCbCr color space and a minimum statistical feature, maximum, and variances get an accuracy value of 80% and computation time of 2.80 seconds.
Development of non-destructive mango assessment using Handheld Spectroscopy and Machine Learning Regression
Authors: Abdullah Al-Sanabani Dheya Galal , Solihin Mahmud Iwan , Pui Liew Phing , Astuti Winda , Ang Chun Kit , Hong Lim Wei 
Published: November 2019

Abstract
Quality determines the shelf-life and selling prices of fresh mango, and therefore quality observation and control of fresh mango are of utmost significance in the processing and management of its supply chain. Mango fruit (mangifera indica) quality methods are mostly destructive in nature. Different mechanical, electromagnetic and non-destructive methods are increasingly important nowadays because of the ease of operation, speed, and reliability of the process. This project aims to develop a non-destructive assessment of mango quality using handheld micro NIR (near-infrared) spectroscopic device. NIR spectra data and Brix levels, which indicate the sugar content of the plant, i.e. indicating the sweetness of the mango, were collected from three different types of Mango (Chokanan, Rainbow, and Kai Te), resulting 80 samples (i.e. 60 samples for training and 20 samples for testing) in this project. NIR spectra can be converted mathematically to obtain quantitative information of chemical and physical nature by multivariate calibration. The spectra data is pre-processed using Gaussian smoothing and extended multiplicative signal correction (EMSC) for the elimination of uncontrollable path length or scattering effects. These samples were then used to develop a predictive model using both Support Vector Machine (SVM) regression and Partial Least Squares regression (PLS) methods. The coefficient of determination (R2) obtained from SVM for training/calibration and testing dataset are 0.96 and 0.95 respectively. Meanwhile, the coefficient of determination (R2) obtained from PLS for calibration/training and testing dataset are 0.89 and 0.86 respectively. The results obtained from this project indicate that the handheld NIR has potential use for non-destructive assessment of mango fruits quality.
The effect of axial distance on dual rotor wind turbine’s performance
Authors: Nugroho Setyo , Diana Lohdy , Ariyanti Devi Purnama 
Published: November 2019

Abstract
Dual-rotor wind turbine (DRWT) is the development of wind turbine design with the addition of rotors placed on the same shaft. The addition of rotors causes the turbine to improve its performance. Experimental research was conducted to determine the performance that can be achieved by the DRWT type using the wind tunnel module. The test was carried out on three variations of the axial distance ratio of 0.08; 0.12; and 0.16. Comparing with a singlerotor wind turbine (SRWT), the DRWT type gives better performance. The DRWT type can rotate at a lower tip speed ratio than SRWT type. The power generated by the DRWT type is increasing up to 100% at tip speed ratio of 0.08 in all axial distance ratio while SRWT type can not rotate at tip speed ratio of 0.8. The DRWT type with a ratio of 0.12 is able to reach the highest coefficient of power which is 0.35 at tip speed ratio of 1.2. There was an increment of 53.7% in mechanical power from the SRWT type under the same conditions. Furthermore, the numerical method was used to know the flow phenomenon in the two rotors. The wake flow behind the first rotor causes backflow that give a loss to DRWT’s performance but still has enough energy that can be extracted by the second rotor and converted to mechanical power. Greater energy conversion will reduce wasted wind energy.