bluuebunny/crossref_metadata_2025_split huggingface dataset:
Workload Identification Using the National Aeronautics and Space Administration Task Load Index (NASA-TLX) Method of Rolling Mill Operators in the Production Department at PT Jaya Pari Steel Surabaya
Authors: Handoyo H , Maharani D I 
Published: May 2021

Abstract
This study aims to determine the level of the workload of rolling-mill operators in the production department at PT Jaya Pari Steel. The study includes four steps: surveying, making questionnaires, distributing questionnaires, and data processing. The main problem faced by the company is the high workload that must be carried out by the operators so that the measurement of workload, in this case, using the NASA-TLX method, is required. The criteria emphasized in measuring workload covers six indicators: Mental Demand (MD), Physical Demand (PD), Temporal Demand (TD), Effort (EF), Own Performance (OP), and Frustration (FL). This study involved 168 respondents and found that the value of an indicator of physical need (PD) has an average value that is greater than other indicators. The results showed that: 1) seven operators felt the workload with a very high level in the range 80-100 while 11 other operators felt the workload with a high level in the range of 50-79, 2) the working environment conditions at PT Jaya Pari Steel needed to be improved to elevate the operator performance. The unsupportive working environment, such as weather, room temperature, noise, and lack of lighting and ineffective shifting of work systems are factors in the high workload of rolling mill operators.
Machine Maintenance Planning in Manufacturing Company using RCM II Methods
Authors: Pradipta Haris Salsabila Tyas , As’adi Muhammad , Montreano Donny 
Published: May 2021

Abstract
Production machine is a crucial thing to be taken care of in order to keep the production flow stays in the right time, therefore maintenance management is needed. PT. XYZ is a manufacturing company that produces cables. One of the machines that are used and often experiences downtime is the drawing machine. Preventive Maintenance handling interval schedule could be designed by using Reliability Centered Maintenance II method. There are several ways for the data processing, which are FMEA calculation, RCM II Diagram Decision Worksheet, TTF and TTR parameter calculation, determining the correct distribution using Least Square Curve Fitting and Goodness of Fit, MTTF and MTTR calculation, reliability comparation between the conditions before and after the Preventive Maintenance is implemented, cost savings comparation between the condition before and after the maintenance is done. This research proves that interval 3 formulation with the Pay Off for 361 hours, Dancer for 327 hours, and Double Spooler for 174 hours would enhance the reliability of Pay Off to 52%, so could it to Dancer (to 57%) and Double Spooler (75%). It also proves that by implementing Preventive Maintenance with the formulated interval and the result of RCM II Decision Worksheet indicators would produce in cost savings for the Pay Off part to 25,96%, the Dancer to 35,1%, and Double Spooler to 53,52%.
The Implementation of Maintenance Quality Function Deployment (MQFD) to Improve the Quality Maintenance Management for the Upstream Oil and Gas Industry
Authors: Djumantara Ulfah Aulia , As’Adi Muhamad , Dewi Alina Cynthia 
Published: May 2021

Abstract
The global energy market is still dominated by oil and gas energy. Pipeline is one of the most efficient means of distributing crude oil. In an oil and gas production unit, pipes are a means that often fails. A pipeline will operate optimally if it gets good maintenance. The concept of Total Productive Maintenance (TPM is an implementation subject that includes the concept of quality improvement engineering, or commonly known as TQM), but in its application, TPM eliminates one of the strategies in TQM, which reflects the voice of the operator (user’s voice) to influence quality improvement ongoing maintenance, so as to perfect the TPM approach, a supporting technique is needed that can reflect the operator’s voice, namely QFD, so that the combination of the two methods or so-called Maintenance Quality Function Deployment (MQFD) models is considered to be able to improve the quality of maintenance because it is a more comprehensive approach, and involves all elements involved, so that the expected quality improvement can be in accordance with the rules of total quality management Based on the results of the TPM parameter calculation, it is known that all OEE values have met the world’s standard of 86%. in carrying out its operations there are still reports of damage, leakage, and vandalism in the production pipeline. Based on the results of the identification of user’s voice, there are 19 attributes of maintenance quality that must be prioritized.
Innovative trend analysis of annual maximum precipitation in Gowa regency
Authors: Sanusi W , Abdy M , Sulaiman  
Published: May 2021

Abstract
Floods and drought are two events that can have a negative impact on human survival. In addition, the impact of these two events can also affect agriculture, fisheries, tourism, housing, transportation and others. Trend analysis is an analysis that can be used to identify extreme rainfall events such as floods and drought. The results of the trend analysis can be useful for water resource planning and management. Therefore, the aim of this study is to obtain an overview of the annual maximum precipitation trend in Gowa Regency. The study uses the daily precipitation data from the Sungguminasa and Bonto Sallang Stations of Gowa Regency for 31 years (1988 – 2018). The data was obtained from the Water Resources, Human Settlements, Spatial Planning and Development Office of South Sulawesi Province. The method used is the Mann-Kendall test, Theil-Sen approach, and innovative trend analysis. The results of a lag-one serial correlation test found that all stations are serially independent. Based on the MK method that both stations show negative trend, but significant only at Sungguminasa station at the 95% confidence level. The results of the ITA method show that all stations are significant negative trends at the 95% level. One of advantages of the ITA method is the ability to detect the significant hidden trends in time series.
Evaluation of the Accuracy of Spatial Data in Detecting the Rate of Land Change in Sinjai District
Authors: Muhlis  , Fatmawati  , Rahim Iradhatullah , Syamsia  
Published: May 2021

Abstract
Aerial photo interpretation can make it easier to detect, identify and delineate the presence of an area so that it can save time and effort and costs to observe directly the area in question. With the presence of satellite images, we can retrieve data from an area without having to visit that area. In this research, the authors use 3 (three) types of satellite image data, namely Landsat 8 satellite image data with an accuracy of 30 meters,. The objectives of this study is to evaluate the rate of accuracy of spatial data in detecting the rate of land change between 2014 and 2019 in Sinjai Regency. This research is closely related to the enumerative induction process (calculation based induction). To find out the level of accuracy of the data from the results of image interpretation, a field check was carried out by taking a sample point of about 20% of the total pixels of 911111 pixels, so that 191 points were obtained which were distribution points for the accuracy test of using image data to evaluate the accuracy level of land cover based on 2019 image data. The overall accuracy test uses the Kappa formula.
Global Analysis of Stage Structure Two Predators Two Prey Systems Under Harvesting Effect for Mature Predators
Authors: Pratama R A , Ruslau M F V , Nurhayati  
Published: May 2021

AbstractThis article examines set a prey-predator population model system with structural stages. Development of a mathematical model of a sustainable population of a population of living things. Structure stages are formed in predator populations, namely immature and mature. The predation function that corresponds to the characteristics in the ecosystem is the predation process of Holling I. The interaction in the population model that is carried out analysis is the equilibrium value formed from the population model. There are eight equilibrium values that arise from simple simulations. The equilibrium isE1(0,0,0,0),E2(0,k,0,0),E3(k,0,0,0),E4(k,k,0,0),E5(0,0,0,A1),E6(A2,0,A3,A4),E7(0,A5,A6,A7) andE8(A8,A9,A10,A11). However, only one equilibrium value is analyzed to obtain stability. Stability is seen by requiring four eigenvalues with the Jacobian matrix. As well as the chosen value is used to find the amount of harvest carried out. The linearization of differential equations is an alternative way in this study to obtain equilibrium values. Each equilibrium value has the characteristics and terms of its stability. The Routh-Hurwitz criterion becomes a condition of its stability characteristics. Meanwhile, exploitation efforts in the population are carried out to see the changes that occur. Harvesting carried out obtained harvesting businessW= 0.01313666667. For the maximum benefit obtainedπ= 4.997259008. This advantage is the stability and sustainability of the ecosystem.
Analysis of Drug Forecasting with Single Moving Average and Single Exponential Smoothing Approach (Case Study in Jombang Regency 2017-2019)
Authors: Restyana Anggi , Savitri Lisa , Laili Nur Fahma , Probosiwi Neni 
Published: May 2021

Abstract
Drug forecasting is done by all health facilities including government’s health facilities. It aims to consider the type of medication, the amount needed to realize a good drug management system. However, a of methods requires large selection using evaluation multiple measures of error in drug forecasting. The study aims to find out the method with the size of the least forecasting error between Single Moving Average and Single Exponential Smoothing. The data used is the annual primary data of the period 2017-2019. Samples amounted to 35 Public health centers. Forecasting calculation has been done using Single Moving Averages and Single Exponential Smoothing methods and testing errors using Mean Absolute Deviation and Mean Square Error methods. The study used 5 major medications with the most forecasting for 3 years. The drug with the most consecutive planning period 2017-2019 is paracetamol tablets 500 mg of 694,911 tablets, 126,713,379 tablets and 11,705,308 tablets. The conclusion of results showed a Single Moving Averages = 12,681 milions tablet with MAD = 0,594 milions and MSE = 666,841 millions. While, Single Exponential Smoothing = 7,949 milions with MAD = 4,557 milions and MSE = 372,884 millions. So, both of methos have small error measurement.
An input-output model of integrated farming system
Authors: Muhtar Norma , Cahyono Edi , Marsuki Iswandi R. , Arman  
Published: May 2021

Abstract
Tlie increase in the human population caused a decrease in the world agricultural area. Meanwhile, the agriculture sector is the biggest contributor to world food production. The integrated fanning system is integrating plants, livestock and fisheries management in a single harvesting cycle. The integrated farming system is one of the solutions to increase the efficiency of food production Plants are able to become food sources for livestock and fish. In this case, the output from plants turned into input for livestock. Meanwhile, fish and livestock excrement that used as plant fertilizer mean that livestock’s output becomes the input for the plants. The major purpose of the integrated farming system is to yield optimization. Optimization stands for minimizing of feeding and fertilizer cost and to optimize the yield of crops and livestock production. The simulation-based on the secondary data of integrated organic’ vegetables and livestock farming that has been done in Gapoktan Pandan Wangi in Village of Karehkel, District of Bogor. Leontief input-output economic model used to calculate the output of a component to meet the input of corresponding components. For the increase of vegetable sector demand of Rp500.000,00 required the increase of vegetable sector production of Rp46.915,097. For the increase of livestock demand od Rp200.000.00 required the increase of production in amount of Rp867.4S8,41. Thereby for Bokashi sector, in the increase of demand of Rp400.000,00 required the increase of production of Rp975.322,00. For the increase of silase sector demand of Rp30.000,00 required the increase of production of Rp76.456,00.
An automated content analysis model for forum moodle using semantic similarity
Authors: Tenriawaru A 
Published: May 2021

Abstract
The use of e-learning in Indonesia’s educational environment is increasingly widespread. It requires an improvement in the method of evaluating learning outcomes in e-learning. Moodle is one of the most popular learning management systems in the world of education, but Moodle does not yet have the tools to evaluate learner activities in every Moodle activity. For example, Moodle doesn’t have the tools to analyze the content of activity forums. This study proposes a model for analyzing message content in forums automatically. This model specifically aims to determine the relevance of the message to the course. The proposed model consists of three main processes: creating a dataset, detecting message relevance, and testing. Determination of the relevance of the message is based on the value of semantic similarity. Semantic similarity calculations are performed using Indonesian Wordnet and Levenshtein Distance Similarity. This model can help lecturers to detect which messages are relevant or worth and which messages are irrelevant or worthless toward the course. The proposed model is expected to improve the performance of evaluation systems of e-learning learning.
A review of the magnetic susceptibility of guano deposits in caves
Authors: Sandi I A , Fauzan M F A , Fitriani  , Rampe M J , Tiwow V A 
Published: May 2021

Abstract
The study of environmental magnetic methods using magnetic susceptibility parameters in cave guano deposits has not been widely discussed, especially in Indonesia. This method is relatively inexpensive, fast, affordable, and non-destructive. Environmental magnetism is associated with environmental changes such as climate change and anthropogenic effects. After a brief introduction to the fundamental of environmental magnetism, we describe several case studies regarding the properties of magnetic minerals and magnetic grains. This study was complemented with XRF results to identify the elemental composition.
Kernel multivariable semiparametric regression model in estimating the level of open unemption in East Java Province
Authors: Ampa Andi Tenri , Nyoman Budiantara I , Zain Ismaini 
Published: May 2021

Abstract
Semiparametric regression is a combination of parametric regression and nonparametric regression. Parametric regression curve components are approximated by multivariable linear functions, nonparametric regression curve components are approximated by Gaussian Kernel function. The purpose of this study is to obtain an estimate of the shape in semiparametric regression using the Kernel estimator and to model the Open Unemployment Rate (TPT) in East Java Province using the semiparametric regression model. This semiparametric regression model estimates on bandwidth. Semiparametric regression model is obtained by minimizing the Generalized Cross Validation function. The semiparametric regression model used to model TPT case data in East Java Province.
Trigonometric Learning Design with the Sibaliparriq Concept as a Learning Model
Authors: Ahmad H , Febryanti  , Kasbawati  , Akib I 
Published: May 2021

Abstract
This study aims to determine how the process and results of trigonometric learning designs that utilize sibaliparriq values as a learning model. This type of research is RnD (Research and Development) research which refers to the Dick and Carey development model with the procedure using the Mc Kenney cycle, which includes three stages, namely preliminary design, prototyping phase and assessment phase. The trigonometric learning design has been designed and validated and revised according to expert advice. The subjects of this study were students of Al Asyariah Mandar University, who took trigonometry courses. The trial results show that the design is effective and practical, namely (i) the average value obtained by students on the trigonometric learning outcome test is in the high category is 61,76. Students who complete the mastery are 29 out of 34 students or 85.29%. (ii) lecturers in implementing learning in accordance with the semester learning plan and are in the very high category. (iii) students are more active in learning. (iv) students generally respond very positively to learning. Thus, the trigonometric learning design process and results utilize the value of sibaliparriq as a learning model for quality Al Asyariah Mandar University students, namely meeting the criteria of validity, practicality, and effectiveness.
Effectivity of the Mathematics Learning Model ICCACRE in Developing Mathematics Creativity of Junior High School Students
Authors: Alimuddin  , Ruslan  , Nashrullah  
Published: May 2021

Abstract
ICCACRE stands for Interaction, Connection, Collaboration, Application, Creativity, Reflection, and Extension. The seven words consecutively refer to the syntax of the mathematics learning model called ICCACRE. It is actually the result of the developmental research referring to the theory of development of Plomp. The theory contains five stages of development, Those are preliminary investigation, designing, realization, giving test evaluation and revision, and implementation. In the implementation or limited trial stage, it was conducted an experimental research to investigate the effectivity of the model in developing mathematics creativity of junior high school students. Students from class VIII-2 were selected as participants in this study based on the selection with cluster random sampling technique from all students class VIII of SMPN 27 Makassar for 2019-220. Mathematical creativity data were obtained using the mathematical creativity test developed by the researcher referring to the creative indicators: fluency, flexibility, and originality which was equipped with an assessment rubric. The collected data were analyzed with descriptive statistics to explore mathematical creativity in detail. Meanwhile, inferential analysis is used to see the effectiveness of the model in developing students’ mathematical creativity. The results showed that the students’ fluency was in the high category. Meanwhile, the flexibility and originality of students are included in the medium category. Normalized N-Gain mean. indicates that fluency and flexibility increase in high category. Is increasing originality in the medium category. Furthermore, the results of the infrential analysis show that the ICCACRE model is effective in developing the mathematics creativity of junior high school students.
The Identification of the Concept Understanding on Limit of Functions Based on Students’ Learning Styles in Mathematics Department at FMIPA UNM
Authors: Saputra A W , Minggi I , Djadir  
Published: May 2021

Abstract
This paper is a qualitative research with a descriptive approach. The aim of this paper is to identify the understanding on limit of functions concept based on students’ learning styles in Mathematics Department at FMIPA UNM. The subjects of the study were 6 students in Mathematics Department at FMIPA UNM consisted of 1 student at each category with a visual, auditory, kinesthetic, visual-auditory, auditory-kinesthetic, and visual-kinesthetic learning styles. The data collections were conducted through the data analysis of written test results on mathematical concept understanding and interviews. The indicators of understanding on limit of functions concept in this study among others are understanding the concept of epsilon-delta, understanding the absolute value concept as distance, understanding the implication statement concept, understanding to interpreting the limit of functions definition using graph, and understanding to proving the limit of functions in accordance with the formal definition. The results showed that subjects who were dominant in the two categories of learning styles were generally able to understand the limit of functions concept relationally, while subjects who were dominant in one learning style category were generally able to understand the limit of functions concept instrumentally.
The Profiles of Students’ Problem Solving Abilities Visual Static Models in Mathematics
Authors: Nugraha D , Rahman A , Asdar  , Upu H 
Published: May 2021

Abstract
This study aims to determine the profile of the Mathematical Visual Static Model Problem Solving Ability. This study applies a qualitative approach by involving 8th-grade students at SMPN 1 Ajangale, who are selected from five different prototype groups and are based on students’ equations or mistakes in solving visual static model problems. Research subjects were selected during the data collection process from visual static model tests and interviews. The results showed that in completing the visual static model test, namely the first subject: overall good problem solving in knowledge skills, logical thinking, and mathematical logic, but did not have mathematical visualization and mathematical representation; for the second subject: mathematical representation, but lacks the ability of mathematical knowledge, logical thinking, mathematical understanding, visualization, and problem solving; for the third subject: mathematical knowledge skills, mathematical representation, mathematical understanding, problem solving, logical thinking, and mathematical visualization; for the fourth subject: logical thinking, but does not have mathematical understanding, mathematical knowledge skills, problem solving, mathematical representation, and mathematical visualization; and for the five subjects: logical thinking and mathematical representation, but lack of knowledge of mathematics, problem solving, mathematical understanding, and mathematical visualization.
Profile of Junior High School Students’ Scientific Thinking Ability
Authors: Aryungga S D E , Agnafia D N , Fanani F H 
Published: May 2021

Abstract
The purpose of this study was to describe the profile of the scientific thinking ability of junior high school students. This type of research is descriptive research. The target of this study was 223 junior high school students (13-15 years old) in Ngawi, East Java. This research uses the Classroom Test of Scientific Reasoning (CTSR) developed by Lawson, the result of revision in 2000 which has been translated by Asnawi into Indonesian. The test has a reliability coefficient, calculated by the KR-20 formula, of 0.76. This instrument consists of 24 multiple-choice questions. The result of the research obtained is the profile of the level of scientific thinking ability of junior high school students is 89.24% of students at the concrete level, 8.97% of students at the Low Formal level, and 1.79% of students at the Upper Formal level.