bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selection strategy implementation of cleaner production using ISM and AHP Method in Chemical Laboratory of Service Industries
Authors: Rimantho D , Ardinia D 
Published: May 2020

Abstract
The chemical analysis in the service industry cannot be separated from energy use, water, consumables, and chemicals related to the amount of waste produced. The number of hazardous solid waste generated in the CRS Chemical Laboratory division has increased in certain months, ranging from 400-600 kg. This shows the low implementation of green production in the company. Therefore, the purpose of this study is to analyze the key criteria and determine the best strategies to reduce waste. The method used in this study is Interpretive Structural Modeling to find key criteria and the Analytic Hierarchy Process method to determine the priority selection of clean production implementation strategies. This study uses a questionnaire distributed to four experts. The results showed that there were nineteen sub-criteria analyzed in determining key criteria. The sub-criteria for lack of awareness from both individuals and organizations regarding changes for the better is a key criterion in the application of cleaner production. Furthermore, the best alternative calculation results using the AHP method obtained by the implementation of periodic green production socialization to employees has the greatest valuation of 0.57 with a Consistency Ratio (CR) of 0.09. Further research is needed to evaluate the alternatives chosen.
Design of Facility Location for new model of Medical Pharmaceutical Refrigerator Production Area on PT. XYZ
Authors: Prasetyani R , Siti A , Timang G A 
Published: May 2020

Abstract
PT. XYZ is a manufacturing company that produces medical devices. The company has planned to develop a new product called Medical Pharmaceutical Refrigerator (MPR). Based on research, the company has provided an area for MPR production of 648 m2. After analyzing the process, 5 areas are used in conjunction with other products, but one area called Polyurethane Injection produces a product flow mismatch in the PU area. This problem is solved by designing a layout using the Industrial Facilities method and Systematic layout planning with the Product layout approach. Based on the results of the study, proposed two alternative layouts which then analyzed the weight of material transfer using the From-to-chart method. Layout design 1 has a weight transfer material of 9322.09 per day, while the proposed layout design 1 produces a weight transfer material of 5750.5 per day. So, the MPR production layout is determined using the layout design 2. By determining this layout, a biomedical warehouse area was moved at of 49.42 m2.
Retailer’s EOQ model considering demand and holding cost of the defective items under carbon emission tax
Authors: Daryanto Yosef , Reira Christata Bellachintya , Murti Kristiyani Ika 
Published: May 2020

Abstract
This paper presents a retailer’s inventory model considering imperfect production process and material handling that cause some defective items. The defective items possess a fraction of its original utility. Therefore, after a quality inspection, the retailer holds them in a different area until they are sold entirely. The proposed model considers the demand and holding cost of the defective items. It also incorporates carbon emission costs from transportation and storage activities. The objective function is to maximize the expected total profit, which simultaneously minimizes the total carbon emissions. A numerical example illustrates the model implementation. From this data set, the optimum order quantity is 1770.1 units, and the backorder quantity is 580.3 units, which give an expected total profit of $ 1, 227, 945 per year and expected total emissions of 0.765 tonCO2/year. Further analysis shows a trade-off between economic and environmental performance. Incorporating carbon emission costs into an EOQ model will reduce the expected total carbon emissions. However, it also causes a reduction in the expected total profit.
Allocation of Maltodextrin Raw Material Orders by Fuzzy Analytic Network Process (FANP) and Goal Programming Methods (Study Case: PT. Neopangan Selaras Indonesia)
Authors: Magdalena R , Dias S P , Ginting A P 
Published: May 2020

Abstract
PT. Neopangan Selaras Indonesia is a food company that produces seasoning. One of the raw materials with the most frequent problems with delays and wrong allocation is maltodextrin, which is 72%. To determine the need for evaluation for each maltodextrin supplier using the Fuzzy Analytical Network Process (FANP) and Goal Programming methods. The existence of a method of merging these two studies. Determination of the proportion of the criteria and sub-criteria in the company by minimizing changes in each assessment. The FANP method in this study produced criteria and assessments of each supplier that could be considered in the allocation of the purchase of raw materials. The best supplier of weights was obtained by PT. Indo Asia Tirta Manunggal (0.4421). The Goal Programming method provides a solution by minimizing total costs by considering the price of each supplier, maximizing the purchase value by considering the weight generated. This method produces a solution that produces a total cost of 0.134%, increasing the purchase value of 1.143%.
Integrated model for Multi-criteria Supplier Selection and Order Allocation Problem
Authors: Tarliah Dimyati Tjutju 
Published: May 2020

Abstract
This paper discusses an integrated model of selecting suppliers and order allocation for a company that wishes to decide the quantity to be ordered from each supplier on the basis of some qualitative criteria. Since each supplier may have a different performance with respect to these criteria, an integration of analytical hierarchy process and linear program model is proposed to solve the problem in two stages. In the first stage, suppliers are evaluated based on qualitative criteria to consider both tangible and intangible factors in choosing the best suppliers. The output of this stage is the final score of each supplier. In the second stage, a linear programming model is proposed to placing the optimum order quantities among them such that the total final scores of suppliers become maximum. The mathematical programming model is validated through numerical analysis, and the computation result shows that the model is effective and applicable.
Development of waiting time predictor based Artificial Neural Network
Authors: Limlawan V , Anussornnitisarn P 
Published: May 2020

Abstract
Queue is a part of our daily life. Everyday people have to wait in queue for services such as waiting for train, buying a cup of coffee. Unfortunately, it is difficult to eliminate waiting time in queue because it is very costly to do. Some business provides queue-length to each customer for reducing customer anxiety, but the given queue-length is often larger than the actual queue-length. Customers estimated the waiting time from the given queue-length and decide to leaves the queue, so the business may lose customer to their competitor. This paper aims to propose the design of the system that can provide the accurate estimated waiting time to each customer. The proposed system constantly updates queue-length and service rate. The updated queue-length and the updated service rate are used as the input of Artificial Neural Network (ANN) which is the waiting time predictor in the system. ANN with the proposed system is compared to the other predictors such as linear regression, the historical based predictor, Queue-Theory predictor. The result shows that ANN with the proposed system outperforms the others, and more than 95% of predicted waiting time by ANN is accurate within 5 minutes tolerances.
Integrated FMEA-MCDM For Prioritizing Operational Disruption in Production Process
Authors: Muqimuddin  , Singgih M. L. 
Published: May 2020

Abstract
The more complex the production system of a company, definitely makes it sensitive of change or known as disruption. Disruptions always occur in production process and also cause productivity decrease. If there are any kind of disruptions occur, so the desicion maker have to prioritize it appropriately. The risk is going to be greater as a consequance when the priority made is false. FMEA is one method that is often used for evaluation and prioritization, especially failure as one type of disruption to minimize risk which can be adopted to assess and evaluate disruptions. The FMEA has some shortcomings including it is not considering the importance of each factor, not considering uncertain information from expert, not considering the cost as one of the criterion considered, and the level of severity is hard to measure, because on different objects can be measured by different aspect. Therefore, this research aims to develop FMEA model for prioritizing disruptions in production process. The model can improve some shortcomings of conventional FMEA. In achieving this goal, several methods are integrated including Analytical Hierarchy Process (AHP) which aims to determine the importance weighting of RPN element factors. In addition, this study uses the Technique for Order Preference by Similarity to an Ideal Solution for prioritizing disruption. Rough set also uses as a method for aggregating opinion of experts, and also uses for improving uncertain information. The model also considers loss revenue as aspect to measure severity level of disruption in determining prioritization.
The Proposed OEE-SIGMA Prediction for Increased Profits
Authors: Prasetyawan Y , Giffari F , Putera B S A 
Published: May 2020

Abstract
Most of the organizations adopt methods to measure their operational performance based on timeframe and requirements. One of the most commonly used measures of performance against capability of the equipment is the Overall Equipment Effectiveness (OEE). Overall Equipment Effectiveness (OEE) metric application in industry has been facing a challenge of continuing advancement in industrial operations. A smart OEE is required for a quick response to the dynamism in industrial system. In this study, OEE metric is made smart by integrating sigma continuous improvement tool into it for the enhancement of dynamism required of the traditional OEE model measured basically on three factors-availability, performance and quality. System productivity dynamism is measured and predicted through sigma statistical variation of the production process defined as a ratio of delivered output (supply) to the expected (planned) output. In this research, the model was applied to made dynamics simulation for increased profits of many manufacturing organizations. The result obtained are increased elements in OEE in line with increased of profits. This indicated that smart OEE-sigma model is a better tool for enhancing continuous improvement which can accurately measuring the financial benefits of proposed improvement projects.
Optimizing Schedule In Furniture Planning
Authors: Talib Bon Abdul 
Published: May 2020

Abstract
The methodology for developing the production system schedules from a project management perspective is being investigated. System orders are considered to be potentially parallel projects that share the same resources. The mechanics of manufacturing controls are discussed in an existing project management package. Order input to the network is envisaged via the web and, after generation or re-generation of schedules, the estimated fulfilment period and delivery date for each order should be accessible via the internet again. Both ideas were described on the basis of real data from a security door supplier operating a make-from-stock, process-oriented production program. The system provides, on the one hand, the approximate (calculated) completion time of each task and, on the other, the assignment of daily work to assets. Nonetheless, it would have trouble performing more than 3000 activities with concurrent asset scaling.
Book trolley design for Telkom University Library using User Centred Design (UCD) method
Authors: Rahayu Mira , Arianto Silalahi Frans , Febrianti Erna 
Published: May 2020

Abstract
Telkom’s library book trolley is a tool to help visitors and librarians returning and shelving books. There are still many complaints from the visitors about the library environment which is untidy and some discrepancies between the information about book’s availability on the website and on the bookshelf. In addition, there are complaints from librarians about the visitor’s habit which is not follow the guidance in the process of returning books and existing trolley books are small and difficult to control. The purpose of this study is to develop the design of Telkom library book trolley in accordance with the wishes of users using User Centred Design method as a concept to determine the design of Telkom’s library book trolley parameters. Survey was conducted to identify user criteria and statistical analysis was used to test the developed hypotheses. The results of this study are the design of Telkom library book trolley parameters that can represent the wishes of users and present Effective, Safe, Health, Comfortable, and Efficient designs. Based on the validation test using marginal homogeneity test, the design is valid in fulfilling the design criteria that the user want with the significance of 5%
Performance measurement using Balance Score Card and Analytic Network Process in Elastomer Switch Keypad Manufacturer Indonesia
Authors: Doaly C O , Salomon L L , K J Arta A 
Published: May 2020

Abstract
Elastomer Switch or rubber keypad are manufactured from silicon rubber properties to make button on cars, cellphone seals and TV remote buttons. From the sales analysis report show that trends that occur in company’s sales volume are declining in recent years with an average of 204 complaints per year, so the measurement of company performance needs to be done. In this study, company performance is measured by applying the Balance Scorecard which provides a multi-dimensional evaluation framework and weighting calculations based on the Analitic Network Process (ANP). A KPI Performance Aplication Design is generated from this research to help companies know what perspectives affect the company. The results of performance measurement using the Balance Scorecard Method show that the total performance of the company has a value of 2.741 which means that the company’s performance is still not good, but it is almost close to good enough value. So it needs some improvement for the future
The Effects of Sleep Quality on Vigilance and Driving Performance in a Train Simulator
Authors: Siswanto D , Iridiastadi H , Muslim K 
Published: May 2020

Abstract
Train driving activity requires high vigilance to prevent human errors that can lead to accidents. One factor mentioned to reduce vigilance is poor sleep quality. But so far, not many studies have proven the effect of sleep quality on vigilance. Previous researches did not clearly conclude this effect. In addition to being vigilant, sleep quality is also thought to effect driving performance because of the close relationship between vigilance and driving performance. Based on those backgrounds, this study aimed to prove the effects of sleep quality on vigilance and driving performance through experiments in a train simulator under monotonous condition, which in some studies is also proved to reduce vigilance. This study involved eight male subjects who experienced two good and poor sleep quality treatments. Through vigilance measurements with Psychomotor Vigilance Task (PVT) and electroencephalograph (EEG) using Multivariate Analysis of Variance (MANOVA) with significant value 0.05, it showed that there were effects of sleep quality on mean reaction times, minor lapses, mean relative band powers for theta, and speeding simultaneously (p-value = 0.015). The results of paired sample t-tests also showed the effects of monotonous driving conditions that affect mean reaction times (p-value = 0.01 on good sleep quality; p-value = 0.000 on poor sleep quality) and minor lapse (p-value = 0.000 on good sleep quality, p-value = 0.045 on poor sleep quality) at the beginning and the end of the experiment. From this study, it can be concluded that the quality of sleep affects vigilance and driving performance, so that poor sleep quality decreases vigilance.
Designing the Smart Health Function towards Puskesmas (Citizen Health Centre) based on Smart City Concept
Authors: Miftahul Jannah Alif , Lubis Muharman , Saedudin Rd. Rohmat , Fritasya Dwiputri S 
Published: May 2020

Abstract
According to Regional Regulation No.23 of 2014 Article 386 until 390 which requires all institutions to adopt architectural designs to bring up architectural innovations. A smart city is a concept of the application, development, and implementation of technology that is applied to a region (especially urban area) as a complex interaction between the various systems in it. One important development area to be developed is the health sector. In Indonesian constitution of article 28 H and 28 I that the state must guarantee the lives of all its citizens, include by providing appropriate services such as health services. This study aims to design an enterprise architecture in health functions within Citizen Health Centre management system based on the Smart City based on the TOGAF ADM framework, so that it is expected to help the city government work program in realizing smart city and business activities that currently run can be supported by information systems so as to increase satisfaction Bandung City communities. Based on the results of research on public health functions at the Bandung City Health Office obtained a design or blueprint that focuses on the preliminary phase, architecture vision, business architecture, system architecture, information technology, opportunities and solutions, and migration planning.
Solar Panel-based Wireless Battery Charging System using Fuzzy Control Method
Authors: Hendro Yuwono Alfarid , Rivai Muhammad , Arief Sardjono Tri 
Published: May 2020

Abstract
Rapid technological development leads to the growth of electronic devices powered by batteries. This requires a simple, fast and safe battery charging system. In this study, we have designed and realized a wireless battery charging system supplied by solar panel using the fuzzy control method. This system is equipped with solar tracking to produce optimal electric power. Furthermore, fuzzy control system is applied to determine the amount of charging voltage by taking into account the temperature of the battery. The experimental results show that the solar tracking system can improve the performance of solar panel. The system always detects the temperature of the battery and will reduce the voltage value during the charging process as the temperature increases. This battery charging system will also automatically decrease the charging voltage when the battery voltage approaches the maximum value. This system is expected to be used as a fast battery charging system without affecting the battery life.
Assessing supply chain practices and how they are perceived to impact performance of firms in Sierra Leone: A Case Study in a telecommunication company (Sierratel)
Authors: Andrew Fornah Hassan , Nyoman Pujawan I 
Published: May 2020

Abstract
As competition is no longer between organizations but among supply chain players, Supply chain practices have become a major strategy employed by many businesses to gained competitive advantage and improving organizational performance. The research aimed at assessing Supply Chain Practices and how they are perceived to impact the performance of firms in Sierra Leone a case study in a Telecommunication Company (Sierratel). Two paradigms of the supply chain were developed for this research. Supply chain enablers (Organization, People, Technology, Plan, Source, Deliver, Information Sharing) and supply chain non-financial performance (Flexibility, Responsiveness, Reliability and Agility). Self-administered questionnaires were sent to thirty-four respondents through google form using a simple stratified random sampling technique. Descriptive statistics is applied to analyse the data through SPSS. The findings showed differences in various supply chain practices adopted and implemented by the company. People, Technology, Delivery, Responsiveness, Reliability and Agility did not create much impact on the company’s performance. Further analysis also revealed that supply chain processes as one of the practices among the others adopted and implemented are almost in its right footpath as compared to strategy and performance but continuous improvement of supply chain practices will attain a sustainable competitive advantage and hence firm’s performance.
Deoxidation Equilibrium of Silicon in the Nickel-Cobalt Melts
Authors: Aleksandrov A A , Ya Dashevskii V , Kanevskii A G 
Published: May 2020

Abstract
The oxygen solutions in the Ni-Co melts containing silicon have been thermodynamically analyzed. The activity coefficients at infinite dilution and the interaction parameters in the Ni-Co alloys at 1873 K are calculated. The oxygen solubility depending on the silicon content in the studied alloys are obtained. Silicon is characterized by the high affinity to oxygen in these alloys. The deoxidation ability of silicon decreases slightly with an increase in the cobalt content in melt. In the Ni-Co alloys with more than 20% of cobalt, at a silicon concentration of less than 0.5%, the deoxidation ability of silicon is virtually unchangeable.
In silico determination of substrate spectrum of lactonases, hydrolyzing various N-acyl homoserine lactones
Authors: Aslanli A G , Efremenko E N 
Published: May 2020

Abstract
The rapid growth in the number of resistant pathogenic bacteria has led to a decrease in the effectiveness of the existing antimicrobial agents. N-acyl homoserine lactones (N-AHLs) are the key molecules responsible for the formation of antibiotic resistance of gram-negative bacteria. The combination of various lactonases, capable of hydrolyzing a wide range of N-AHLs, with antibiotics, is one of the most appropriate ways to solve the problem of maintaining the effectiveness of the latter. The most interesting is the combination of lactonases with different substrate spectrum of action. In this study, using the molecular docking method, we investigated the substrate range of various lactonases in order to select enzymes suitable to combine with hexahistidine-tagged organophosphorus hydrolase (His6-OPH), for which high lactonase activity against a number of N-AHLs and the possibility of complex formation with antibiotics have been shown previously. It was found that all the studied lactonases hydrolyze predominantly long chain N-AHLs, while, among all studied lactonases, the SsoPox enzyme from the class of phosphotriesterases-like lactonases was the best candidate for the development of combined enzyme preparations.
Refractive index of fluoride crystals doped with rare earth ions with low concentration
Authors: Chunaev D S , Karasik A Y , Konyushkin V A , Nakladov A N , Zverev P G 
Published: May 2020

Abstract
Refractive indices of SrF2 crystals doped with low concentrations of holmium, erbium, and thulium ions are investigated. These crystals are attractive as active laser media for developing planar waveguides for near and mid-IR spectral regions. It is shown that, by varying the concentration of impurity rare-earth ions in SrF2 crystals, it is possible to increase and control the refractive index of the medium. This allows one to develop planar waveguides with the core and shell of the same fluoride and control theirs numerical aperture and the number of excited modes. The design of single mode planar waveguide is calculated and proposed for the wavelength of 2 um.