bluuebunny/crossref_metadata_2025_split huggingface dataset:
Life Cycle Assessment Framework Application in Malaysia
Authors: Hafizan C , Hussein N , Noor Z Z 
Published: March 2021

Abstract
Life cycle assessment (LCA) is broadly used around the world. The comprehensiveness of the method helps to avoid problem-shifter in reducing environmental impact from anthropogenic activities. In Southeast Asia, some countries have adopted gradually the application of life cycle approach in government action plans and marketing strategies. However, its progress remains unclear due to the lack of investigative studies. The aim of this paper is to provide a review of the current application of LCA framework in Malaysia. The paper also highlights the acceptance of the concept within government sectors and industrial players. The life cycle assessmentLCA progress in Malaysia can be seen from three perspectives: 1) government planning and policy; 2) industry involvement and 3) LCA priorities. This study reviewed the current progress of LCA implementation in Malaysia based on the current literature. In government planning and policy, LCA has been embedded in project development and monitoring through the Carbon Reduction Initiative and National Database Development. However, the progress in industry involvement so far has shown less participation due to low demand towards green products. In moving towards a high-income nation and open economy, the Malaysian government has emphasized on the need for greater inclusiveness where green initiatives were put forward in Malaysia’s development.
Designing supply chain models with blockchain technology in the fishing industry in Indonesia
Authors: Larissa S , Parung J 
Published: March 2021

Abstract
The fishing industry contributes to the national economy and has a high risk of being traded because it has a long shipping time, limited time to consume, and the amount traded varies depending on the season. This risk can reduce the potential profit of players in the fishing industry. To reduce this risk and maximize added value, blockchain technology is used to change the supply chain of the fishing industry. Blockchain technology is a ledger database that is distributed to record transactions among parties that can be verified and permanently. This paper proposes a blockchain technology framework in the fishing industry. This paper will explain the definition and benefits of blockchain, current applications, and design a new model of the supply chain. The potential benefits of the blockchain are transparency and traceability, reducing costs and time, and preventing illegal or unethical fishery products from entering the supply chain. Moreover, this paper will also explore how to build this blockchain technology in the supply chain.
Applying the ISO 31000:2009 in livestock industries (Case study: XYZ livestock group)
Authors: Fitria H , Mansur A 
Published: March 2021

Abstract
XYZ Livestock Group is one of the livestock industries contributing to beef cattle and dairy cattle. However, there are many problems in the livestock industry. Because of the many uncertainties in managing the livestock industry, many cattle ranchers have switched professions to sand miners or residential entrepreneurs. This research is designated as a reference for livestock industry stakeholders to improve their business, especially to handle their risk. ISO 31000:2009 Framework is used as a method in this research. In this study, we found 13 risks with 13 causes of risk that occurred in the XYZ Livestock Group. Further analysis shows that there are three risks in the red zone, namely that livestock cannot be sold (dead/sick), and consumers of XYZ Livestock Group are declining. Furthermore, this research proposes a mitigation strategy to reduce risk. Three mitigations are obtained based on risk priorities, namely taking or increasing risks to get opportunities, eliminate sources of risk, and change the consequences.
Aggregate production planning model under demand uncertainty: A case study in an Indonesian cement company
Authors: Gozali I , Pujawan I N , Arvitrida N I 
Published: March 2021

Abstract
In this paper, a multi-product, multi-stage and multi-period aggregate production-planning model is proposed to deal with demand uncertainty in an Indonesian Cement Company. The demand uncertainty is modelled as a number of discrete scenarios with known probabilities. This problem consists of determining the optimal production, subcontract and inventory level of clinker and cement in order to fulfil demand at minimum cost within the planning horizon. This research aims to develop an aggregate production-planning model under demand uncertainty in an Indonesian Cement Company. The model constructed as a linear programming problem using scenario-based approach to satisfy demand at minimum cost. The outcome of this research is the development of an aggregate production-planning model that accommodates demand uncertainty in Indonesian Cement Company by considering material balance at each stage of the process, equipment capacity and inventory storage capacity during the planning horizon. The proposed model can be used as a decision-making basis for production and inventory control manager to produce or subcontract clinker and semen in each period to fulfil demand at minimum cost.
A model for joint decision between production rate and clinker export proportion using cooperative game theory approach
Authors: Amrillah H T , Widodo E 
Published: March 2021

Abstract
This study aims to provide a decision making model to determine clinker export proportion. Cooperative game theory approach used to build the model. Players in this game are manager of production & material planning, and manager of cement production. Payoff matrix of the game composed using Mixed Integer Linear Programming (MILP) based equation. Expected contribution of this study is to provide a decision making model in determining acceptable proportion between clinker amount to export, and clinker amount to be grinded. Furthermore, this study expected to support revenue maximizing in the company.
Regression analysis in predicting coating application lifetime on asset integrity project
Authors: Setiawan R , Santosa B 
Published: March 2021

Abstract
The Asset Integrity project is one of the strategic priorities in maintenance to ensure the functional lifetime of an asset is well maintained to support the nickel processing. The coating protection application is one of the asset integrity strategy to maintain the structural lifetime, however the corrosive environment of nickel processing plant influences the lifetime of the coating design differently on each facility due to different process in the processing line. The objective of this study is to predict the coating design lifetime on Dryer, KILN, Furnace, and Converter facilities. The analysis used regression method for coating lifetime on each facility by considering the independent variables, i.e. SO2 Intensity, stack emission, NOx emission, rainfall intensity, and underfilm condition. By using regression model, coating design lifetime in Dryer area is 4.95 years, KILN is 5.73 years, Furnace is 6.23 years, and Converter is 6.73 years. Process plant area which having the most significant impact of corrosive environment is Dryer area, causing the coating lifetime in this area is the lowest than other area in the Process Plant area. This result can be used to set maintenance strategy for coating design lifetime lifecycle for the next Asset Integrity project.
Reducing unplanned downtime using Predictive Maintenance (PdM)
Authors: Yasin I , Kurniati N , Syairudin B 
Published: March 2021

Abstract
Maintenance is one of the essential aspects that contribute to keep production process continue to operate and reduce unplanned downtime. In the cement industry, especially kiln area, unplanned downtime can cause not only low availability but also high maintenance costs due to unplanned demand for spare parts and the need for labour to complete unplanned downtime, hence the right method of maintenance is needed. One of the strategic maintenances could be applied is Predictive Maintenance (PdM). Among others maintenance strategy, PdM provides more accurate task due to real time condition monitoring of equipment based on sensors obtained from server data. In this paper, Mahalanobis-Taguchi System (MTS) is applied to provide reliable multisensory analysis and real-time decision making. MTS includes 1) fuses data from multiple sensors into a single system level performance metric; 2) extends MTS by providing a single tool for fault detection/diagnostic, isolation, and prognostic; and 3) offers a systematic way to determine the key parameters following with fault reducing analysis. Multi-sensor data in the kiln used in this research are speed motor main drive, Pfister Coal feed, kiln feed, speed motor IDFAN1, speed motor IDFAN2, speed motor EPFAN. Based on the MTS calculation, the normal data values are obtained from each sensor data. This method is also used to detect, identify, and classify failures based on tests from scheme data. The proposed diagnostic and prognostics scheme from this paper are useful for guiding the company to predict the failure as well as the maintenance schedule then it will increasing the availability from 80% to 90% by reduce the unplanned downtime.
Empty container reposition using max-min review system: Simulation approach
Authors: Budipriyanto A , Novianti M D , Susanto T 
Published: March 2021

Abstract
Global economic conditions and differences in the ability and economic competitiveness of each country cause an imbalance between exports and imports. Shipping of goods is carried out mostly by sea transportation through the use of containers and involves the port as the exit and entry of goods. An imbalance in export-import causes the number of containers in some ports to have a surplus, while others have a deficit. To maintain container availability, shippinglines must adjust the balance by repositioning from a surplus port to a deficit port. Shippinglines must determine the inventory to meet the needs at the port and the number of containers that can be repositioned to the other ports that need it. If the inventory at the port reaches a minimum level, then the order must be immediately carried out, on the contrary, it will be repositioned to another port that needs it. By adopting the concept of a review system (U, D), when the inventory is less than U, an order of Q is immediately placed. But if the inventory is greater or equal to D, repositioning is carried out. Repositioning is done by I-D. In this study, the maximum inventory value is determined based on the value of the inventory service level of 95%. From the simulation results it was concluded that the min-max review system policy with a service level of 95% could reduce inventory by 35.64% and reduce shortage by 8.82%.
Quality control of palm oil crude (CPO) using six sigma method in PT Karya Tanah Subur West Aceh regency
Authors: Sofiyanurriyanti  , Putra G , Arifin A R 
Published: March 2021

Abstract
The rapid world demand for palm oil shows an increasing tendency towards product consumption in palm oil raw materials. PT. Karya Tanah Subur is a company engaged in processing fresh fruit bunches that produce palm oil and palm kernel. Six Sigma is a method used to provide solutions and find the cause of product defects by providing a proposed improvement in several stages. The results showed that the causes of CPO oil quality discrepancies were obtained in the cause-and-effect diagram analysis, namely factors of workers, production machinery, work methods, materials. While the defect per million opportunities in free fatty acid levels is 35,528, impurities content is 18,899 and water content is 14,719. Based on the value of the average sigma level for free fatty acid levels that is equal to 3.38, the level of impurities sigma value of 3.57 and the water content of the sigma value of 3.68 sigma. Proposed improvement of product defects mismatch with the 5W + 1H method, namely in free fatty acid levels, work system improvements in the sorting of fresh fruit bunches, provide training to operators in the selection of appropriate fruits while impurities by monitoring oil purification operators, machine maintenance cleaning periodically at the sorting station, periodic checking every hour, while the moisture content of the corrective action that must be taken is to supervise the sterilizer operator.
Sustainable-value stream mapping to improve manufacturing sustainability performance: Case study in a natural dye batik SME’s
Authors: Hartini S , Manurung J , Rumita R 
Published: March 2021

Abstract
The lean manufacturing system has proved its capability to eliminate waste and produce environmental gains. The integration of sustainable manufacturing indicators in lean manufacturing analysis tools is expected to improve manufacturing sustainability performance. This paper proposes sustainable-value stream mapping to evaluate sustainability performance using a lean manufacturing approach. This new tool will analyze all activities in the manufacturing process incorporated sustainability indicator includes economic, environmental, and social dimensions. The integration of sustainability indicator into a lean manufacturing tool is validated through a mini case study in a small-medium enterprise that produce natural dye batik. The key contribution of the study is a practical framework for identifying non-value-added activities at the production process of natural dye batik. This tool can identify the sources of problems in economic, environmental, and social dimensions. This article can recommend the improvement plan to improve the sustainability performance of a company, especially in batik SMEs.
Virtual laboratory application based on virtual reality simulation as training tool of turning machine using goal-directed design method
Authors: Nurkertamanda D , Frendiansyah F , Saptadi S , Widharto Y , Wicaksono P A 
Published: March 2021

Abstract
This study aims to develop a virtual laboratory application based on virtual reality simulation as a training tool for turning machines. The application is built as a solution for manufacturing engineering education problems at the Production System Laboratory (PSL) in the Industrial Engineering Department, Diponegoro University. Problem based on work accident data shows human error from the student when using turning machines. The data shows that lack of student understanding due to insufficient of preliminary training at the beginning of manufacturing engineering education especially physical skills training. Virtual Reality Simulation is chosen because conventional machining training has some restrictions in execution. Furthermore, virtual reality simulation can reduce cost, improve safety, and add flexibility along with advances in computer technology. For this Research the Goal-Directed Design (GDD) method was chosen to develop VR simulation. This method is used as a procedure to accomplish the good design of application which including research, modelling, requirements, framework, refinement, and support. The application is built using Unity 3D software and run on Oculus Quest hardware. At the evaluation phase for assessing the needs, researchers use functional and non-functional requirements. Functional requirements consist of interaction, visualization, and information. Non-functional requirements consist of usability, performance, and reliability.
Determined the Effective Temperature and Gravity Acceleration at the Atmosphere of (HD165908) Star
Authors: Alhawi Omar Ahmed , Mazyed Firas Saleem 
Published: March 2021

Abstract
The study of the chemical composition of stars in our Galaxy showed that it changes in a non-random way from a star to a star: older stars and halo stars have a metal deficit compared to young stars and disc stars. However, this is not always the case. Sometimes old stars have a solar chemical composition, and young stars show a deficit of metals. It is believed that the formed stars has a chemical composition of the interstellar substance from which it was formed; therefore, the initial content of elements in its atmosphere depends on the time and place of birth. Within the framework of this work, echelle spectra of star 99Her of spectral classes A-F has been proceed, obtained with a 1.5-meter telescope PTT-150 (Russian Turkish Telescope-150). As a result of processing the spectra, the equivalent widths of unbend and weakly blended absorption lines were measured, 350 lines this star. The measured equivalent line widths can be used for other studies of the atmospheres of the A-F stars composition. Stars with temperatures of 8000-9000 K show a significant excess of elements heavier than iron and some deficiency of light elements. These results, apparently, are a consequence of the effects of light pressure and gravitational diffusion of atoms and ions in atmospheres of calm and radiative atmospheres of A-stars.
Optical, Structure and Electrical Properties of Pb1-xCdxS Thin Films by Pulsed Laser Deposition (PLD) Method
Authors: Abbas Nada K , Hakeem Haneen S 
Published: March 2021

Abstract
In this work, CdS, PbS, and Pb1-xCdxS nanoparticles with x ranged from 0.25 to 0.75 were synthesized using chemical co-precipitation mode. The pulsed laser deposition (PLD) method with laser system (Nd: YAG Laser system) was performed to make thin films of all samples which was normally performed under low gas pressure and under the following conditions; 300 mJ energy, 100 pulses, 6 Hz frequency and in the vacuum chamber on the substrates (10−2 torr). Electrical properties (D.C conductivity, Hall Effect and current-voltage measurements) of the prepared semiconductive thin films were studied using different devices. The prepared samples were characterized by UV-Vis spectroscopy (in the range 300-1100 nm) to study the optical properties, AFM and SEM to check the surface morphology (Roughness average and shape) and the particle size. XRD technique was used to determine the crystalline structure, the purity of the phase and the crystalline structure. The crystalline size averages of the nanoparticles have been found to be to 19.8, 11.0, 8.8 and 11.7 and 27.3 nm for PbS, Pb0.75Cd0.25S, Pb0.5Cd0.5S, Pb0.25Cd0.75S, and CdS respectively. The results indicate that crystalline structure of all prepared samples is cubic except CdS which shows hexagonal and cubic structure.
Projected changes in the frequency of climate extremes over southeast Australia
Authors: Herold N , Downes S M , Gross M H , Ji F , Nishant N , Macadam I , Ridder N N , Beyer K 
Published: March 2021

Abstract
Most studies evaluating future changes in climate extremes over Australia have examined events that occur once or more each year. However, it is extremes that occur less frequently than this that generally have the largest impacts on sectors such as infrastructure, health and finance. Here we use an ensemble of high resolution (∼10 km) climate projections from the NSW and ACT Regional Climate Modelling (NARCliM) project to provide insight into how such rare events may change over southeast Australia in the future. We examine changes in the frequency of extremes of heat, rainfall, bushfire weather, meteorological drought and thunderstorm energy by the late 21st century, focusing on events that currently occur once every 20 years (those with a 5% Annual Exceedance Probability). Overall the ensemble suggests increases in the frequency of all five extremes. Heat extremes exhibit the largest change in frequency and the greatest ensemble agreement, with current 1-in-20 year events projected to occur every year in central Australia and at least every 5 years across most of southeast Australia, by the late 21st century. The five capital cities included in our model domain are projected to experience multiple climate extremes more than twice as frequently in the late 21st century, with some cities projected to experience 1-in-20 year events more than six times as frequently. Although individual simulations show decreases in some extremes in some locations, there is no strong ensemble agreement for a decrease in any of the climate extremes over any part of southeast Australia. These results can support adaptation planning and should motivate further research into how extremely rare events will change over Australia in the future.
Maggot Therapy in Chronic Wounds: New Approaches to Historical Practices
Authors: Harvey Michelle L , Dadour Ian R , Gasz Natalie E 
Published: March 2021

AbstractBlowfly larvae of Lucilia sericata (Meigen) (Diptera: Calliphoridae) are well established as debridement agents in nonhealing wounds. Maggot therapy (MT) experienced reduced application following adoption of Penicillin and other antibiotics, but the advent of antibiotic resistance and the growing global wound burden have boosted demand for new therapies. The mechanisms of action are well accepted, with debridement, disinfection, biofilm destruction, and inhibition, as well as the stimulation of tissue growth uniformly acknowledged as a remarkable biotherapy. The mechanisms of action, while well-recognized, are still being examined. The efforts to understand isolated aspects of a complex system, have resulted in a tendency to approach the field from simplified viewpoints that remove the holistic system of the larvae. Furthermore, clinical studies have conflated wound debridement and healing in definitions of ‘success’. Thus, both in vitro and clinical studies have reported mixed results, presenting some uncertainty regarding the utility of MT that prohibits routine clinical adoption. This review builds from the generally accepted basic mechanisms to justify a future for MT that encompasses larval-bacterial symbioses as the basis to a holistic system. Symbioses are well documented in the Insecta, and literature in MT supports the existence of established symbiotic associations that provide enhanced debridement action. The future of MT requires consideration of a biological system that confers enhanced antimicrobial action on larvae when selective pre-exposure to carefully selected symbionts is adopted. In treating contemporary infections, there is much to be gained from reflecting on the natural biology of the organism, as MT was used with success long before we sterilized the system.