bluuebunny/crossref_metadata_2025_split huggingface dataset:
Timekeeping strategy in the oxygen acetylene welding practicum through attendance ranking approach
Authors: Widodo S F A , Alif M , Sukardi S , Setiadi B R , Nuchron N 
Published: January 2020

Abstract
The culture of industry in vocational schools needs to be applied optimally to shape the work character of graduates who are increasingly fierce in competition. The trade starts to look at graduates with a better attitude than hard skills. This research is directed at how the fundamental problem of timely attendance is a phenomenon that deserves to be studied as part of the formation of soft skills. This study has objectives including (1) observing students’ participation at Oxygen Acetylene Welding (OAW) lectures and (2) reading of student attendance patterns after the implementation of timekeeping strategy-based ranking. The research method uses quantitative descriptive by collecting data by observing student attendance directly. The continuing collection was carried out for 14 weeks at the OAW practicum. Based on the results of the study showed that there was a significant increase in timely attendance and was gradually consistent until the end of the meeting. Besides, the presence sequence builds the habits of students to arrive on time.
The influence of work knowledge and industrial practice experience to learning motivation
Authors: Rofiq Z , Prananda Y , Syauqi K 
Published: January 2020

Abstract
This study aimed to find out the influence of work knowledge and industrial practice experience to students’ learning motivation. This study was an assosiative research with quantitative approach. The samples were decided by cluster random sampling technique. Closed-questionnaires were used to collecting the datas. Then by descriptive analysis and regression analyis technique the data were processed. The results showed there was no positive and significant influence between work knwoledge and learning motivation, shown by tcount=0, 081 < ttable=2, 069 with regression equation Y = 45, 926-0, 010X1. There was no positive and significant influence between students’ industrial practice experience and learning motivation shown by tcount=1, 056 < ttable=2, 069 with regression equation Y = 37, 464+0, 151X2. The world of work knwoledge and industrial practice experience also did not influence positively dan signficantly to students’ learning moivation simultaneously, shown by Fcount=0, 618 < Ftable=3, 39 and the regression equation Y = 38, 171-0, 080X1+0, 191X2.
Learning evaluation using work preparation in turning machine process lessons
Authors: Harjanto C T , Kartowagiran B , Maryanto A E 
Published: January 2020

Abstract
This study aims to implement of learning by using work preparation in the subject of turning machining in the Mechanical Engineering Major of Muhammadiyah 1 Bantul vocational high school. This research is an evaluation research. The results showed the ability of students to understand work preparation was in the high category, with a percentage in the high category 29.11%, and a very high category 24.05%. Achievement of the practice of students who completed the work preparation was in the very high category, with the percentage of achievement at job 1 of 94.36% and job 2 of 70.42 percent, so that the overall job was 82.39%. The ability of students to apply work preparation is in the high category with an average percentage of 72.67%. The completeness of the work preparation format made by the teacher is incomplete because 10 of the 18 elements that must be present in the work preparation format are not fulfilled.
The proofing validation of conventional mechanical drawing job sheet
Authors: Setiadi B R , Nuryanto A , Ahmad N D 
Published: January 2020

Abstract
The research aims to develop and assess the feasibility of a Job Drawing course in Mechanical Drawing (MD) in the Department of Mechanical Engineering Education, Yogyakarta State University (DMEE-UNY). This study uses the 4-D Thiagarajan model. The study was conducted at DMEE-UNY. Research subjects were media expert lecturers, content experts, and student responses. Data collection techniques using interviews and questionnaires. The questionnaire was used to evaluate the validation of expert lecturers and student responses. Data were analysed descriptively quantitatively. The results showed that the development of the job sheet was successfully carried out by the MD Semester Learning Plan (SLP) in DMEE, consisting of 43 drawing tasks divided into 13 sections. The level of eligibility of the MD course’s job sheet from the validation of content expert lecturers, media experts, and student responses stated that it was very feasible.
Approach and engineering assessment of automotive vocational engineering
Authors: Pambayun N A Y , Haryana K , Sudiyanto  
Published: January 2020

AbstractThis study aims to identify approaches and assessment techniques that are appropriate for vocational courses in Automotive Engineering. This research is a quantitative research with survey method. The respondents of this study were 150 alumni of the Faculty of Engineering Universitas Negeri Yogyakarta who had worked in the automotive field. Data were collected through a questionnaire, then analyzed with descriptive analysis techniques. The results showed that the most widely considered appropriate, namely, 1) assessment approach: assessment for learning (theoretical & practical courses); 3) attitude assessment techniques: observation techniques by lecturers; 4) knowledge assessment techniques: written test; 5) skills assessment techniques: assessment of practice.
The current state of the TVET teachers’ workplace learning in China
Authors: Liu H , Liu M , Hariyanto D 
Published: January 2020

Abstract
Workplace learning emphasizes a learning paradigm that considers learners to be active and self-directed rather than passive learning in the traditional training paradigm. The aim of this article is to try to synthesize the existing literature and studies as well as summarize the relevant information and available evidence to find the current state of teachers’ Workplace Learning in TVET (Technical and Vocational Education and Training) institute. In practice, this study will help vocational schools understand the current situation of vocational education teachers’ workplace learning and provide evidence for vocational colleges to take reformation and transformation. For the future, researchers could explore the relationships among workplace learning environment, learning strategies, and learning outcomes in the TVET context.
Applying google classroom based on prospective teacher
Authors: Prihaswati M , Mawarsari V D , Winaryati E 
Published: January 2020

Abstract
Teachers and prospective teachers must be technology-educated, they are equipped with technology-based that vary in knowledge which will be taught to the next industrial revolution 4.0 generation. This study aims to create a technology-educated prospective teacher. Applying Google Classroom, the teacher can distribute the assignments to give grades in one place. The target of the implementation is to increase the level of technological literacy of prospective teachers in teaching. The research is quantitative research with the data collection using a questionnaire in pretest-posttest. The results showed that there is an increase in the ability of prospective teachers after implementing of Google Classroom and prospective teachers respond well to the implementation of Google Classroom on learning.
The development of three-dimentional media chart to make golbi cleavage in sewing technology course
Authors: Wardhany T M , Suprihatin S E Y 
Published: January 2020

Abstract
This study aims at developing the three-dimensional (3D) media chart for Making Golbi Cleavage of Sewing Technology course in State Vocational High School 1 Depok and knowing the feasibility of the 3D media chart in making Golbi Cleavage. This media is expected to be able to help the learning process and improve the efficiency and effectiveness of learning. This research can be categorized as Research and Development with the 4D development model based on Thiagarajan. The research development was done through 4 stages, i.e. define, design, develop and disseminate. The data collection techniques were using observation, interviews, and questionnaires. The data analysis techniques used descriptive statistical analysis. The instrument validity used the construct validity and Alpha Cronbach reliability testing. The media validation of the Three-Dimensional (3D) Chart was carried out by 3 media experts, 2 material experts and the students through the small scale test on 6 students and the large scale test on 29 students. The Three-Dimensional (3D) Media Chart was considered very feasible by obtaining the percentage of 100% from the experts and 83.2% from the students. This media was feasible based on the content and the appearance aspect.
Developing a multimedia presentation for making fragments of passepoille pockets as a learning solution for the 21st century
Authors: Haqi L , Astuti E B 
Published: January 2020

Abstract
This study aimed to produce a multimedia presentation for making fragments of passepoille pockets and determine its feasibility level based on the assessment of theoretical experts, media experts, and students. This research was done referring to the research and development (R&D) procedure with the 4D model developed by Thiagarajan (1974). The subjects of this study were 2 theoretical experts and 1 media expert who was a lecturer of the Culinary and Clothing Department, Faculty of Engineering, Universitas Negeri Yogyakarta and the teacher of sewing technique at Vocational High School 1 Ngawen and 30 students of X class in Fashion Design. The results of this study were the developed product of multimedia presentation for making fragments of a passerelle pocket and the results of the feasibility of multimedia presentations based on the assessment of theory and media experts with the percentage of 100% (very feasible); limited trial results obtained the percentage of 88.35% (very feasible), and the real test results obtained the percentage of 94.98% (very feasible). The appropriate multimedia presentation showed that this media was suitable to be applied in the learning process based on the 2013 curriculum and it was able to help teachers and students to achieve the expected learning competencies.
Blood Collection Strategy: A Lesson Learned from Indonesian Blood Supply Chain
Authors: Mansur A , Vanany I , Arvitrida NI 
Published: January 2020

Abstract
Blood collection management consists of complex processes that impact the blood outdated rate. This research intends to build an effective collection strategy for the blood bank so expiration rates could be reduced. According to the observed system complexity, a suitable method in this research is discrete event simulation. Three scenarios are used in this research is the strategy of PMI in collecting the blood supply, which is a Mobile Unit Model (MUM) strategy. With the 95% minimum target of order fulfilment rate, this research is succeeded in decreasing expiration rates by 4%, by changing the supply rate of MUM, from 40 hours of time between arrivals to be 44 hours.
Platelet Inventory Management System Using Monte Carlo Simulation
Authors: Mansur A , Mar’ah FI , Amalia P 
Published: January 2020

Abstract
Improper of blood management will lead to wastage due to the nature of blood that is not durable and easily damaged, so if the blood is stored too much and not used until the expired date, the blood will be damaged. Platelet components have a limited lifetime for 5 days. With a short blood age, every month there will be two possibilities, one is shortage of blood inventory (stockout) or two, over blood inventory (overstock) in the storage area. From the data obtained, the expired rate in 2017 reached 743 blood bags. Until now Indonesian Red Cross has not been able to predict the level of blood demand because of the uncertain level of demand. In this study, simulation will use Monte Carlo to develop a number of policies that can optimize inventory levels and minimize inventory costs.
Evaluation of the Centralized HVAC Chilled Water Pumps of Suranaree University of Technology Hospital Main Building
Authors: Prasetyadi A , Koonsrisuk A 
Published: January 2020

Abstract
Pumps are the main issue of the chilled water distribution in a centralized system. In purpose of evaluating the chiller pump system of the centralized HVAC for Suranaree University of Technology Hospital (SUTH) main building, a model comprised evaporator, pump and pipe network was proposed. An analysis of energy rate losses due to pressure losses was applied in a model composed of vertical and horizontal distribution pipes. Pressure loss in pipes was assumed to follow Darcy-Weisbach equation. The resistance of the systems were also calculated. The results show that distribution of losses in vertical shaft and stories were unequal. The pressure loss and energy rate loss were function of flow-rate. But the resistance was an inverse function of the flow-rate. The difference distribution emphasized the need of reconfiguring chilled water pump for accommodating flexibility usage.
Categorization of Reliability Performance Indicators of Humanitarian Response Supply Chain
Authors: Sutrisno A , Handayani D , Caesarendra W , Gunawan I 
Published: January 2020

Abstract
To minimize a number of disaster victims due to certain disaster, identifying performance indicators representing reliable disaster response operation are very necessary to drive success in humanitarian action. However, literature in disaster response managements that focused on reliability performance measures are very few. To fill in this gap, in this paper presents categorization of humanitarian supply chain reliability performance indicators. This method consists of both hard and soft indicators. Our classification enables humanitarian practitioners to possibly develop unified reliability estimation indices containing of both qualitative and quantitative reliability performance indicators. At the end, conclusions and new research directions from the preliminary study are presented.
The mental workload analysis of gojek drivers
Authors: Prabaswari A D , Hamid A N , Purnomo H 
Published: January 2020

Abstract
Gojek is a service that is very helpful for people’s lives by opening jobs for the community and also making it easier for the community itself to live their lives. So many users of the GOJEK application, it also does not rule out the possibility of excessive passengers during rush hour. The needs of passengers who want to be fast and the needs of the company cause gojek drivers to arise workloads on the driver itself. Therefore a study was conducted by analyzing the relationship between mental workload and work stress experienced by gojek drivers using the NASA-Task Load Index (TLX) method. 30 gojek drivers were respondents in this study. By observing the indicators on NASA TLX the results obtained are as many as 3 respondents categorized as having a very high mental workload, 26 respondents having a high category and 1 respondent having a rather high category. it is necessary to improve immediately to make the work become not hampered. the workload is a significant stressor that raises a type of destructive psychological reaction.
Modelling the continuance intention towards the use of mobile hospital appointment system
Authors: Taufiq A R , Widyanti A , Muslim K , Wijayanto T , Trapsilawati F , Arini H M , Wibawa A D 
Published: January 2020

Abstract
Effective management of patient flow in the outpatient unit of a hospital is the key to achieving operational excellence. Hospital X, as one of the major hospitals in Indonesia, launched a mobile hospital appointment system (X-Go) to increase the effectiveness of patient flow management. Although the application has a good rating, only less than 28% of the patients are still using it. Aim of this study is to observe the factors affecting the continuance intention towards X-Go, using the Technology Acceptance Model. A questionnaire consisted of 15 questions, using 7 point Likert Scale was used to develop the model. Ninety eight respondents were involved voluntarily in this study by filling out the questionnaire. Results showed that relationship quality has the most significant direct influence on the continuance intention to use the system. Meanwhile, perceived ease of use has the most significant indirect influence on the continuance intention to use the system.
The Smart Village Model for Rural Area (Case Study: Banyuwangi Regency)
Authors: Aziiza A A , Susanto T D 
Published: January 2020

Abstract
Smart Village refers to a concept developed in rural area that provides solutions to problems occurred and improves the quality of life. The main problems faced by rural areas are cover poverty, low level of education, and limited access to technology. Smart village concept emerged due to some different characteristics between rural and urban areas. Banyuwangi Regency is one of regions that created smart concept starting from rural area, called smart kampung. So far, smart kampung only focused on public services, which included only a small part of smart city concept. Hence, this research was intended to propose the model of smart village examined through initial interview in village sample of Banyuwangi, literature reviews related to smart city, smart village, and smart rural. Then, the results were confirmed and adjusted to support local regulations. This research created a smart village model that was capable to be a guide for each village to develop towards better future. The proposed smart village model was categorized into 6 dimensions including 1) Governance, (2) Technology, (3) Resources, (4) Village Service, (5) Living, and (6) Tourism. This research is expected to be applied to villages in other Regencies by adjusting the characteristics of each region.
Comparison Clustering Performance Based on Moodle Log Mining
Authors: Pradana C , Kusumawardani S S , Permanasari A E 
Published: January 2020

Abstract
The use of digital data now saves a lot of information, but still raw and not in the form of knowledge that can be directly seen, therefore we need a data processing to get useful particular understanding from raw data. Data Mining has an important role to process and find useful information from data. This process is also called Knowledge Discovery. Educational Data Mining is a Knowledge Discovery process in the world of education using data mining techniques. One method used in data mining is clustering. By using clustering analysis techniques, data can be grouped into groups without the need for prior knowledge (previous knowledge), so that the data is grouped based on similarity of patterns. This paper compares the K-means, Hierarchical and Louvain clustering methods to see the most appropriate clustering technique in analyzing log activity data in Moodle Learning Management System (LMS). The results of clustering are measured using the Silhouette Coefficient, and then we compare the values and distribution between clusters. In conclusion, Hierarchical clustering produces the highest Silhouette Coefficient value and also this algorithm can detect outlier data as new cluster. Louvain clustering perform very well to find cluster groups in new dataset as the algorithm does not required the number of clusters to be specified before. Louvain clustering can divide more evenly and precision compare to K-means and hierarchical cluster techniques.
Risk mitigation on product distribution and delay delivery : A case study in an Indonesian manufacturing company
Authors: Kusrini E , Sugito E , Rahman Z M , Setiawan T N , Hasibuan R P 
Published: January 2020

Abstract
In a dynamic supply chain environment, problems that arise due to delays in the delivery of raw materials and distribution of products to consumers can pose risks and threats to the company. This study aims to identify and mitigate the risk of late delivery of goods. Risk management starts with identifying sources of risk, defining risks, creating risk maps and mitigating risks. a case study conducted at a manufacturing packaging company in Batam, Indonesia. The results showed that the biggest risks were supplier production capacity, supplier product quality, forecasting from consumers, daily finished good delivery schedule to consumers and loading and unloading processes at consumers. This research proposes mitigation to minimize the impact of short-term and long-term risks.
Spare part requirement and inventory policy for Rovema’s 1 machine using Reliability Centered Spare (RCS) and Min-Max stock methods
Authors: Angelina C F , Atmaji F T D , Santosa B 
Published: January 2020

Abstract
XYZ company is a manufacturing company engaged in the field of medicines, food, and natural products. One of the problems found in the machine delay, called “outstanding”. An outstanding occurs is mostly caused by the unavailability of the spare parts. Based on the downtime losses data, the highest downtime, as well as unavailability spare parts, was owned by Rovema’s machine, one of the packaging machines in food plant division. Therefore in this research, the Reliability Centered Spare (RCS) method was applied to calculate the optimal critical spare part policy using the Poisson process and Min-Max stock analysis. The analysis result shows that the critical component of Rovema’s machine is steel band and brass insert are must be stored in a technical warehouse for one year ahead with optimal inventory quantity is 18 and 15 pieces with minimum stock is 10 pieces each
Observing knowledge of ergonomic product in Indonesia
Authors: Pratama G B , Nurfitrisari N , Widyanti A 
Published: January 2020

Abstract
A range of ergonomic products have started to be widely produced and used in Indonesia. Office supplies as well as computer peripherals appear to be the majority of product types which are ergonomic labeled by the manufacturer. However, how well is people’s knowledge regarding the characteristics of ergonomic product and its benefit are still unidentified. Not to mention the intention to use ergonomic-labeled product after realizing the benefit. This research is aiming to observe people’s level of awareness and intention to use the ergonomic-labeled products through a set of experiments. The investigation used several types of office chair, keyboard, and mouse representing the ergonomic product and standard product. Participants’ productivity by using ergonomic and standard product were compared and analyzed. The intention to use ergonomic products before and after trial were also observed.