bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Mental Workload Analysis of Staff in Study Program of Private Educational Organization
Authors: Prabaswari Atyanti Dyah , Basumerda Chancard , Utomo Bagus Wahyu 
Published: June 2019

Abstract
The mental workload affects productivity workers to accomplish the task. Staff has many tasks that not only main task but additional task. The additional task is from superior in the same place or the other place. The SOP for duties and distribution of task is not clear so the fatigue can affect to productivity. The method to measure mental workload is NASA-TLX. NASA TLX has six indicators: mental demand, physical demand, temporal demand, performance, frustration, and effort. The analysis not only based on result of NASA TLX but also using statistic test. The result is performance indicator is high that described the staff not satisfied with their job has done. The staff not satisfy but the effort has been taken out is very high. The result of Mann Whitney is not different with two group of the period long term of working which divided in < 7 years and >7 years. The result of correlation test is if the staff make more effort, the satisfaction for their tasks has been done is bigger. The regression test produces an equation but cannot be used to calculation or prediction the staff mental workload. Because regression coefficient is not significant (not usable). The solution is staff must divide the task. Dissatisfaction can reduce motivation and the members cannot perform well.
Situation Awareness Analysis on Motorcycle Riders using Quantitative Analysis of Situational Awareness
Authors: Soewardi Hartomo , Ayu Kiranti Amalia Diah 
Published: June 2019

Abstract
A Traffic accident is caused by the negligence and the low situation awareness of the motorcycle riders. Based on the Indonesian Police traffic data, until May 2018, there were 32,127 motorcycle accidents with 6,009 people died. The highest accidents happened to the riders between 15-19 years old. Thus, feasibility of the motorcycle riders becomes crucial. The purpose of this study is to determine the level of awareness of the motorcycle riders as well as to determine the minimum age level to ride motorcycle. There were 75 respondents participating in this study who were about 17 to 19 years old. The Quantitative Analysis of Situational Awareness method was used to achieve the objective. The results of this study show that 17 years old riders have better situation awareness level than 18 years old ones. Meanwhile, the best situation awareness level is at age 19. It is because of the value of calibration (12.22%) which is smaller than 17 years old (17.52%) and 18 years old riders (26.48%). Therefore, this study recommends the feasibility of motorcycle riders should be 19 years old as the minimum requirement.
Design of Tofu Cutting Tools to Improve Repetitive Tasks Using OCRA
Authors: Haulian Siboro Benedikta Anna , Afma Vera Methalina , Purbasari Annisa , Kasim Muhammad Qodri 
Published: June 2019

Abstract
Cutting process is one of processes in producing tofu before being packaged and marketed. Generally, cutting tofu is performed manually using a ruler with repetitive movements as 20-24 times, therefore it required longer time to cut and cause low back pain (LBP) in workers. Present study objective is to analyze the risk of work with repetitive task in the process of cutting tofu and designing tools to reduce these risks without decreasing the quality of the tofu. The methodology use OCRA and anthropometry which performed on two tofu factories (Mr. Joko and Mr. Udin) in Batam, as research subject. The results showed that repeated movements during tofu cutting were carried out for 33-35 seconds, with the percentage higher at hands work and waiting times in seconds. Furthermore, the OCRA risks of repetitive movements assessment is classified as medium-risk conditions (3.8-4.48). However, it is necessary to repair the cutting tools. Improvements are gained by designing cutting tools in accordance with the operator’s hand anthropometry. The new tofu cutting tool produces only 2 times repetitive movements, which is lesser and using OCRA assessment the level of movement risk becomes optimal (≤ 1.5).
Fatigue-related differences in human facial dimensions based on static images
Authors: Triyanti V , Yassierli  , Iridiastadi H 
Published: June 2019

Abstract
Automatic fatigue recognition based on eye and mouth movements has been widely researched and used to detect human fatigue. However, there were only few studies that quantitatively examining fatigue status based on static images. This study was a pilot study that aimed to examine differences in human facial dimension between fresh and fatigue condition, based on photos. 4 photos from 8 subjects were taken, each photo depicted the subject in fresh condition with a neutral expression, fresh condition with a happy expression, fatigue condition with neutral expression, and fatigue condition with happy expression. Each photo was analyzed using Face Reader 7.1 software to detect the coordinates of the points around the eyes and mouth. 10 dimensions around the eyes were calculated for each situation. In neutral expressions, paired t-test with significance value of 0.05 proved that in 8 dimensions, value in fresh conditions were different from ones in fatigue conditions. But these results were not proven in the picture with happy expressions. Although further research is needed, this finding could be a first step for developing the knowledge to detect fatigue based on facial static images.
Feasibility Analysis on the Development of Steel Sheet Zinc Plated and Galvalum Production Factory PT. S Steel
Authors: Rahardja A Z , Chumaidiyah E , Tripiawan W 
Published: June 2019

Abstract
PT. S Steel is a company producing zinc coated steel sheet (BJLS). The company runs from 1969 and is a joint venture company with Japan. The current production plant is located in an urban area, and the government of Makassar issued a government regulation in which the factory should not exist in the city area. So that PT. S Steel will build its new production plant in the industrial estate. In this feasibility study will be discussed about the construction of production plant PT. S Steel is reviewed in terms of market, technical aspects, legal and environmental aspects, as well as financial aspects. Market aspect analysis is done by using interview and historical data as reference. In the market aspect it is known that the amount of demand from zinc continues to decline while the galvalume rises as a new trend. Technical aspects analysis resulted in the output of facility layout and financial aspect analysis calculated based on calculation of NPV, BCR, and PBP with projection for 5 years period. financial analysis was assessed from several eligibility criteria, namely NPV with value Rp 487,404,605,133 and said to be feasible because NPV> 0, IRR 48.703% and said to be feasible because IRR> MARR 11%, and PBP worth 2.34. This feasibility study shows that the implementation of the construction of PT. S Steel is feasible to operate.
A Comparison of Forecasting Building Material Inventory between Backpropagation Neural Network And Arima
Authors: Soenandi I A , Hayat C 
Published: June 2019

Abstract
The demand for forecasting task is very important to determine the number of stocks efficiently. This process should accommodate the demand for a company’s product or service and control the inventory level. Especially for products such as building materials that needed capitals to buy and wide space to keep it safe. This research has objective to minimize the excessive amount of product in inventory and minimize loss in sales. This study was compared between a method named Back Propagation Neural Network (BPNN) that known as one of the most accurate and widely used forecasting model and ARIMA as a time series model to find the most accurate in forecasting of inventory. In this case, the model of BPNN used 6 input neurons as a monthly period of sale, the price of the product, amount of historical selling, an approximation of project renovation, an approximation of new project building and number of a competitor. And for Arima method we have three trials of tentative models. To compare the accuracy between them, we used the performance criteria such as MAD, MAE, RMSE, RRSE and RAE. In this research, we obtained that forecasting with BPNN is more accurate than ARIMA with error prediction of 19.6, 19.6, 30.4, 0.6, 0.5 for those performance criteria consecutively.
Advanced ERP Application for Marine Transportation Industry in the South Asia Pacific Country; a Case Study
Authors: Nata Kusuma Lalu Tri Wijaya , Leu Jun-Der , Tseng Fu-Shiang 
Published: June 2019

Abstract
Marine transportation industry is one of the most vital activities in the world. Demand to provide effective and efficient inter-regional connectivity within the marine transportation framework will be a common agenda in some areas. South Asia Pacific region has a member country of more than 14 countries. With the region’s economic growth of about 5.3 percent, compared to the world average of 3.2 percent, because it is the most safe area compared to other regions (Antara, 2016). Almost 70% of total world trade takes place among countries in Asia Pacific. In this study, we try to focus on comparative analysis of IT support system to support the operation of marine transportation services in 3 countries namely Indonesia, Malaysia and USA. Some port systems in the archipelagic country particularly the South Asia Pacific region have adopted approaches such as the ERP system, but are still partial. Each part of the port management creates its own information system, and links it to every organization’s website. Utilizing existing ERP systems, will be key in designing new frameworks with IOT concepts. With the development of IOT techniques and major investments in marine transportation systems in the Asia Pacific region, intelligent transportation will be able to improve the effectiveness and efficiency of marine and port transportation services processes. The technology of the Internet of Things will enable the development of transportation systems to be more intelligent, safe, harmonious, and energy efficient.
Evaluating Storage Tank Cap 10000L Manufacturer by Using Lean Project Management
Authors: Amran T G , Saraswati D , Harahap E F 
Published: June 2019

Abstract
Business competitions between manufacturing fabrication industries increase fiercely. Companies were demanded to produce high quality products with competitive price that can be delivered to the consumer on time. Storage tank (10000 liter capacity) is one of the most ordered item but most of the time the delivery is unpunctual. During the initial planning, buffer time was unavailable, which caused 32% cost increase by waste. In this study, the concept between lean manufacture and lean project management was bridged to obtain minimal delay. The first research methodology was to identify and analyze waste, second method was risk analysis by FMEA, and final method was cost and time estimation by critical chain project management. S Curve depicted the decrease of delay, and value stream mapping was used to map optimum result from lean project management. Potential waste was “waiting”, and the highest FMEA risk value was material delay caused by weather conditions. Project buffer result shows 39% decrease in engineering task and the actual cost was still within the budget. The company need to integrate HR cost in the project and measure the time buffer to predict delay gap.
Competency Measurement Instrument Design for Maintenance Staff of Electronic Expertise with SECI Method
Authors: Agisni  , Soesanto R P , Kurniawati A , Ambarsari N , Andrawina L 
Published: June 2019

Abstract
To gain competitive advantages, companies must combine and collaborate with the tangible and intangible assets. The most important intangible assets in companies are people because people have the knowledge to run the companies. Competencies of each individual in a company is a basic characteristic that must be taken into account. The purpose of this research is to improve the quality of human resources of maintenance staff in the manufacturing company by designing competency measurement instrument that aims to assess the competency of employees. The focus of this research is the mechanical expertise of maintenance staff. SECI method is used in this research for managing knowledge that is held by senior employees regarding employee competence in electronic expertise. The SECI method converts the knowledge of a person’s tacit knowledge into an explicit knowledge so that the knowledge can be used by others. The knowledge that is gathered from SECI method is converted into a list of competence and break down into the detailed competency. The result of this paper is the competency measurement instrument that aims to assess the competency of employees. Future research can be done to test the instrument and add more specific criteria.
Application of Taguchi Method for Optimization of Parameter in Improving Soybean Cracking Process on Dry Process of tempeh Production
Authors: Anugraha R A , Wiraditya M Y , Iqbal M , Darmawan N M 
Published: June 2019

Abstract
Taguchi method is a Design of Experiment approach for parameter optimization of a process. The purpose of this study is to determine the optimum parameters and the most influential parameters in the process of soybean cracking in the dry process of tempeh production. In the process of cracking the dry soybeans found a defect of 14.5%. after applying the Taguchi method and obtaining the optimum parameters, the defect on the dry process of cracking the dry soybeans is reduced to 6.6%. Determination of parameters and levels, objective functions, orthogonal array, signal-to-noise ratio, and analysis of variance (ANOVA) will be done in this study to improve the performance of the soy-cracking process. In this study there are three parameters used in conducting experiments with Taguchi method, three parameters namely distance between stones, hopper outlet diameter, and sun-drying duration. The results of this study are: distance between stones with setting optimum 1mm and percentage contribution 13%; hopper outlet diameter with setting optimum 25mm and percentage contribution 85%; and sun-drying duration with drying optimum 1 day and percentage contribution 2%. the most influential parameter is the hopper outlet diameter in the soybean cracking process, as it determines the soybean discharge that goes into the cracking phase.
Analyze of mitigation waste in reconditioning process of Iron Drum with Lean Six Sigma (Case study at PT Mulya Adhi Paramita)
Authors: Ahmad  , Lilyana  , Widodo L , Gozali L , Maryadi A 
Published: June 2019

Abstract
PT. Mulya Adhi Paramita is a chemical company that focuses on the distribution of chemicals, but also performs the process of reconditioning used iron drums. In the process of reconditioning drum is still found some waste, for that this research using lean six sigma concept which aims to reduce waste on drum recondition process. This research uses DMAIC stage and using Waste Assessment Model method with the result of 2 biggest waste identification is waste motion and defect which will become priority improvement, using Defect Per Million Opportunity to know sigma level that is equal to 3,77 sigma, Value Stream Mapping with percentage result PCE on CVSM of 16.31%; Process Activity Mapping result is value added time of 60.22 minutes, non value added time of 9.74 minutes, and necessary non value added time of 21.88 minutes. After performing the improvement implementation can be seen the result is the increase in PCE on FVSM of 21.5%, decreased percentage defect by 0.72% and DPMO with sigma level of 3.81 sigma
Risk Mitigation for Agricultural Products Distribution in Agro-business Terminal Mantung, Kabupaten Malang
Authors: Oktiarso T , Nadira A H K 
Published: June 2019

Abstract
Distribution process of the horticultural products in Kabupaten Malang is affected by many factors. The distribution factors need to be identified to find the potential risks arise from every problem, in order to anticipate the barriers and losses. This research is conducted using the Supply Chain Operation Reference (SCOR) method in identifying risks and their risk agents, and using the House of Risks (HOR) method in analysing every risk to determine the mitigation strategies. The results for STA Mantung discovered 15 risks with 23 risk agents. From these 23 risk agents, 12 major risk agents were selected and analysed to determine risk mitigation strategies. There are 14 horticultural mitigation strategies. With these risk management and mitigation strategy the STA Mantung shall be better prepared to face them.
Energy Transfer between Ce3+-Dy3+ In Ca2Al2SiO7: Ce3+, Dy3+ Phosphor
Authors: Tien Do Thanh , Manh Son Nguyen , Tuat Le Van , Liem Le Ngoc 
Published: June 2019

Abstract
Ce3+ and Dy3+ ions doped Ca2Al2SiO7 (CAS) phosphors were prepared by the solid-state reaction at 12800C for 1h. X-ray diffraction patterns confirmed a tetragonal crystalline structure. The luminescent spectra of CAS: Ce3+, Dy3+ phosphors consist a board band with peaking at 420 nm corresponding to the luminescence of Ce3+ ions and narrow lines of Dy3+ ions. The energy transfer from Ce3+ ion to Dy3+ ion is presented and discussed.
Synthesis and Characterization of a g-C3N4 Coupled Hybrid Nanocomposite for the Photocatalytic Effects
Authors: Ojha D P , Song J H , Kim H J 
Published: June 2019

Abstract
Photodegradation of organic pollutants using nanoparticles with suitable band gap is one of the most studied technologies in last few decades. About 8 nm antimony-doped tin oxide (ATO) nanoparticles, as the photocatalyst for organic degradation, is prepared by the calcination of the stoichiometric mixture of precursor hydroxides of Sn4+ and Sn3+. ATO was combined with thermally synthesized graphitic carbon nitride(g-C3N4 or g-CN) and the resulting Z-scheme g-CN/ATO nanocomposite was utilized for the decomposition of salicylic acid (SA) in aqueous solution. All the samples were analyzed by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), energy dispersive spectroscopy (EDS), Fourier transform infrared spectroscopy (FTIR) and the progress of the photocatalytic degradation reaction was measured by using UV-Visible spectroscopy. The rate constant measurements showed that the rate of degradation of SA is enhanced with hybrid nanocomposite.
Adsorption of Cu(II) onto Fe(III)-Modified Montmorillonite - Kinetic, Isotherm, and Thermodynamic Studies
Authors: Kenneth Cruz John , Joy Diaz Leslie 
Published: June 2019

Abstract
Trace metal ions, such as Cu(II), in wastewater could pose serious health threats when not treated. This study employed adsorption using an Fe(III)-modified montmorillonite (Fe-MMT), an abundant mineral in the Philippines, to remove Cu(II) ions in synthetic wastewater. Scanning electron micrographs of the synthesized clay show showed its layered structure while elemental analysis confirmed the successful modification to Fe-MMT with high amounts of retained Fe in the clay. Batch adsorption was performed at varying adsorption time, initial Cu(II) concentration, and temperature, for which applicable models were then employed to understand the adsorption mechanism. Cu(II) adsorption showed a slow rate until the process reached equilibrium at 12 hrs corresponding to 85.86% removal. Adsorption of Cu(II) on Fe-MMT was found to agree with both the pseudo-first order and the liquid-film diffusion kinetic models. Isotherm modelling revealed that the process fitted well with the Langmuir model with theoretical adsorption capacity of Fe-MMT as 48.077 mg/g. On the other hand, Dubinin-Radushkevich isotherm suggests that the mechanism was via physisorption. From the thermodynamic modelling, it was obtained that the Cu(II) adsorption was an endothermic process which further translated to a ΔG°298 of 5,696.89 J/mol.
Kinetics and Isotherms Studies of the Adsorption of Hg(II) onto Iron Modified Montmorillonite/Polycaprolactone Nanofiber Membrane
Authors: Raj Somera Lester , Cuazon Ralph , Kenneth Cruz John , Joy Diaz Leslie 
Published: June 2019

Abstract
Hg(II) ions from mining and urban runoffs can easily contaminate various water sources due to their high solubility in water. Due to its simplicity and viability, adsorption was utilized to treat Hg(II)-contaminated water. An adsorbent was fabricated by immobilizing Fe-modified montmorillonite particles in polycaprolactone through electrospinning. The SEM images of the fabricated membrane showed a nanofiber network with fiber diameter ranging from 96 nm to 569 nm and an average of 198 nm. The adsorption behavior of the fabricated membrane was investigated using kinetics and isotherm models. It was found that the adsorption of Hg(II) ions onto the membrane follows a pseudo-second order model and was best described by the Freundlich isotherm. The adsorption capacity was found to increase with increasing contact time and with increasing initial Hg(II) concentration, with the highest adsorption capacity of 14.25 mg/g. The sorption energy was calculated using the DubininKaganer-Radushkevich isotherm, which obtained a value of -2.68 kJmol−1 suggesting that the type of adsorption was physisorption.
Magnetic Carbon Nanofibers from Horse Manure via Hydrothermal Carbonization for Methylene Blue Adsorption
Authors: Kaewtrakulchai Napat , Putta Ampol , Pasee Warit , Fuangnawakij Kajornsak , Panomsuwan Gasidit , Eiad-ua Apiluck 
Published: June 2019

Abstract
Disposal and recycle of waste biomass is of great concern. Thermochemically converting the waste biomass to carbon nanomaterials is an interesting because of environmental friendly, low cost and local availability. In this work, magnetic carbon nanofibers have been synthesized by hydrothermal and carbonization of the magnetite preloaded on horse manure which is controllable temperature and additive of catalyst. It was found that Fe is able to form magnetic carbon nanofibers (M-CNFs). Furthermore, magnetic carbon nanofibers were used as an adsorbent for methylene blue adsorption. Synthesized magnetic sorbents exhibited high performance on methylene blue adsorption and it is successfully separated from the water by magnetic separation.
Effect of Recycled Rubber-derived Carbon (CRR) on the Thermal Stability, Cure Behaviour, and Dynamic Mechanical Property of NR/SBR Compound
Authors: Danila E C , Lanwang M , Diaz L L 
Published: June 2019

Abstract
From an economic viewpoint, locally-sourced carbon from recycled rubber was identified to be a potential filler substitute to commercial carbon black in rubber tire. In this research, methodical measures were used to compare several properties of rubber compounds reinforced with carbon from recycled rubber (CRR) and commercial carbon black fillers to systematically qualify such substitution. Thermogravimetric analysis elucidated the overall thermal stability of the compounds, the degradation behaviour of their components and the purity of the fillers used. Differential Scanning Calorimetry and Rubber Process Analyzer test results revealed the difference in polymer network contribution and filler-filler interaction observed in the compounds, which collectively described the reinforcing effect of the fillers in the material. Conclusively, the difference in composition of fillers used resulted in the alteration of reinforcing effects in the rubber compounds.