bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing Self-Assessment Tool for Library Performance Measurement Adopting Malcolm Baldrige Framework (Case Study: Central Library of Andalas University)
Authors: Putri N T , Jumeno D , Henmaidi  , Wirdianto E , Fithri P , Zulkhaira F 
Published: June 2019

Abstract
Currently, competitions between universities at the national and international levels become tighter. Every university gives the best effort. They develop every aspect of the university’s pillars quality to get more attention. These aspects include curriculum so that each student can learn more in an organized way. The same also applied for its facilities so that each student never lack of supporting tools and a delightful environment to learn. Even the lecturers are the best in their field so as to educate quality students. This happens not only in the national but also at the international level. In accordance with the proverbs often heard, ‘library is the heart of the university’. Naturally the library becomes an important part of the university. Library of Andalas University has been awarded ‘excellent’ on a national scale by BAN-PT, according to SNI 7330.2009 and SNP 010: 2011. This achievement also requires library to maintain their quality. In line with Andalas University goal to obtain international recognition, library also need acquire ISO certification as in ISO 11620. The framework corresponding to the library’s performance appraisal tool is MBNQA (Malcolm Baldrige National Quality Award), because MBNQA is the best management guide for organizations in order to achieve high quality and world-class certification. Thus, to obtain certification of international standards and maintain it, designing a new library performance appraisal tool is necessary. This new assessment tool will adopt MBNQA framework using national scale by BAN-PT and ISO 11620 indicator. The process to make new assessment tool will be assist by AHP (Analytical Hierarchy Process) method.
Schedule Risk Analysis by Different Phases of Construction Project Using CPM-PERT and Monte-Carlo Simulation
Authors: Hendradewa Andrie Pasca 
Published: June 2019

Abstract
Construction project is an important activity along with the increasing need of infrastructure and residential building. Construction projects with different investment value and complexity level affect the completion duration of construction work. The higher the value or the more complex the building, the longer time required to accomplish the construction project. During the construction process, it is possible to find risks both from internal and external management which potentially cause project overdue that will lead to cost overruns. This study focused on assessing and managing schedule risk in three main phases of construction project, such as: feasibility study, design, and construction. A certain sample of residential building project was choosen as study case. In this study, mathematical approaches are used by performing CPM-PERT and Monte-Carlo simulation method. The results of this study can be used to help project managers to minimize potential risks by projecting simulation results and to assess if a project can be completed in timely manner according to given schedule.
Integer Linear Programming Model and Algorithm to Integrate Heuristics Scheduling EDD, Inventory Control and Distribution Problems in a Modular Production System
Authors: Moengin P , Harahap E F , Adisuwiryo S , Fransiska W A 
Published: June 2019

Abstract
In this paper, a two-stage algorithm developed for the cutting sequencing problem in a modular manufacturing system. This system has a level of flexibility depends on the cutting stage of raw material. This paper focuses primarily on the work station. In the first stage of the algorithm, an integer linear programming model is used to determine the number of hardboards that will be cut. The model was tested with two different objective function is to minimize waste and to minimize the number of hardboards used. In the second stage, a heuristic developed a scheduling pattern of cutting, where the due date and the number of requests demand a consideration. This algorithm is further implemented in a furniture manufacturer that operates using the make-to-order basis.
Genetic Algorithm for Waste Transportation Route in Eastern Bandung (Case Study: PD. Kebersihan Kota Bandung)
Authors: Yogaswara Y , Saputra L S M D 
Published: June 2019

Abstract
VRP highly close related with distance and cost minimization. PD. Kebersihan Kota Bandung has been facing one of the problem related with vehicle routing since this company has not have a fixed route for waste transportation because of their limited vehicle used and it will cost them a lot more if they have to add more vehicle to handle this. Therefore, research on VRP for this case has been done especially in West Bandung Region to find a better solution to reduce total distances and cost in which the company have to pay out. Method used to solve this problem is Genetic Algorithm with Clarke and Wright Saving used first to find initial solution. Genetic Algorithm is problem independent, it means that it can solve a lot of problems in a different field and still have probability to keep continuing to find the best solution including global search. Based on researh that has been done, there are three route with three trucks created with total volume for each vehicle on those route which are 7,053 m3, 6,753 m3, and 6,903 m3 with total distance 65,33 km.
Domino algorithm: a novel constructive heuristics for traveling salesman problem
Authors: Ismail Asrul Harun 
Published: June 2019

Abstract
Developing algorithms for solving complex optimisation problems has become a challenging topic recently. This study has applied a novel constructive heuristics algorithm named Domino Algorithm for the Traveling Salesman Problem (TSP) case which is aimed to efficiently reduce the calculation complexity and to find the optimal results of TSP best solution of tour lengths. As the study is a basic version of Domino Algorithm, it is decided to use the small TSP data sets consisting of 100 cities or less, such as Eil51, Berlin52, St70, Eil76, Pr76, and Rat99. This study also applied Nearest Neighbor approach to compare its result with that of Domino Algorithm. The results have shown that better tour lengths were achieved by Domino Algorithm (using 1 or 2 player (s)) for Eil51, Eil76, St70, Rat 99; and were resulted by Nearest Neighbor for Berlin52, and Pr76. For further research, the algorithm should be intensively combined with applying the improvement heuristic and should also be hybridized with meta-heuristics algorithm focusing on finding the optimal results by which the application will be moreover quite simple and easy.
The Effect of The Processing Time’s Variance to The Performance of Sequencing Rule
Authors: Sari Arum , Yulia Y C 
Published: June 2019

Abstract
SPT was the most studied rule in sequencing. Most of the research concluded that SPT was the best rule but other research concluded that SPT did not achieve the best performance. Studies shown that performance varies due to a great different environments because there were so many factors affected the performance. One of the factors that lead to differences in the conclusions was varying of processing time. The objective of the paper was to evaluate the effect of processing time’s variance to the performance of sequencing rules. Only processing time variance was being investigated while number of machine was treated as nuisance factor. To achieve this objective, an experiment was designed and the experiment result was analyzed using anova. Performance measure used in the experiment was lateness. Only five sequencing rules were used. The rules were First In First Out (FIFO), EDD, SPT and Slack Time. The experiment found that for a small number of job, the effect of processing time’s variance was not significant to the performance of sequencing rule. For large number of jobs, processing time’s variance had a significant effect on the performance of sequencing rule. For further research, more sequencing rule to be consider while some assumptions is relaxed.
Line Balancing with Reduced Number of Operator: A Productivity Improvement
Authors: Hasta A , Harwati  
Published: June 2019

Abstract
The Objective of this research was to improve the productivity and efficiency in a line process of a case study. The observation showed that current efficiency was about 87% and operator productivity was about 13.3 pcs/hour/man power. Productivity improvement can be reached by three step. First, identification and reduction of non-added value activity. There are 13 non value added activities which are prioritized to be eliminated based on Pareto principles. Second, the reduction number of operators while doing the third step: reallocate the work of each operator after reduction. Operator reduction is done from 3 to 2 operators only. Then the job that is already efficient from the stepped operator is moved to two other operators. After repairing and balancing tasks for each operator, the efficiency value becomes 96% and productivity increases to 20.5 pcs/hour/man power and man power savings to two men power.
Design and improvement layout of a production floor using automated layout design program (ALDEP) and CRAFT algorithm at CV. Aji Jaya Mandiri
Authors: Suhardini D , Rahmawati S D 
Published: June 2019

Abstract
Different computerized algorithms are used to assist the layout planner in generating alternate layout. CRAFT (Computerized Relative Allocation of Facilities Technique) has been developed to improve an existing layout, while ALDEP (Automated Layout Design Program) is a construction layout. The improvement given by ALDEP over CRAFT technique was found to reduce annual material handling cost by 23% [1]. This study hypothesize that better result could be gained by combined two algorithms rather than their independent application. The hypothesis is verified by taking layout problems of CV Aji Jaya Mandiri. The objective of the study is to get the optimal layout of CV Aji Jaya Mandiri using ALDEP and followed by improving it with CRAFT. ALDEP based on the value of proximity (total closeness rating). The layout resulted from ALDEP is improved by exchanging machines positions. The newly layout obtained by ALDEP is compared with the result layout improved by CRAFT. There are two criteria for comparing the layout: material handling cost taken from MHES (material handling evaluation sheet), and the manufacturing lead time or processing time using Promodel simulation. The material handling cost of the layout resulted by CRAFT was decreased by 6,24%, that is mean that CRAFT was improved the layout effectively. The result of simulation showed the manufacturing lead time of the improved layout decreased 23 minutes. Layout evaluation using Adjacency Based Scoring for the CRAFT layout increase 15% compare with the initial layout so it was selected as the best layout. This study concluded that combined use of computerized layout design algorithms provides better result,
Mapping of noise levels made by drilling machines on project x using contour zone method
Authors: Cahyadi B , Timang G A 
Published: June 2019

Abstract
Project x is an apartment development activities in Tangerang which in the process of construction resulted in the occurrence of noise. Noise is one of the incidents that can be lead to health problems for the surrounding community. Therefore, this research aims to know the spread of noise, the amount of noise reduction that can be reduced by using a hearing protective device and workers’ perceptions of noise against hearing loss. The method used is the contour zone. Data used is the result of noise measurement Project x in the daytime and nighttime conditions. The result obtained is the noise level in the project work area during the daytime in area 1, 2 and 3 with a distance of 2 meters are 97.1 dB, 94.4 dB, 93.9 dB, and length of 4 meters are 94.4 dB, 91.5 dB, 93.0 dB and night measurements at a distance of 2 meters are 102.2 dB, 100.1 dB, 96.5 dB, and length of 4 meters are 94.7 dB, 94.7 dB, 97.4 dB. The calculation of day and night above exceeds the noise threshold value set by the Ministry of Labor which is 85 dB. The perception of the worker with the noise disturbances that occur at The Yukata Project. Using hearing protection devices will reduce the noises, but at nighttime conditions in areas 1 and 2 at a distance of 4 meters, the noise level still exceeds the noise threshold value which has been determined by the ministry of labor.
Integrated Logistics and Transportation Routing in Rural Logistics System
Authors: Sinaga T S , Bahagia S N 
Published: June 2019

Abstract
The agricultural distribution problem of Rural Logistics System is addressed in this paper to improve farmers’ income by minimizing annual total cost. The system consists of three entities: (i) logistics terminal, (ii) distribution warehouses, and (iii) industries. The logistics terminal collects agricultural products from farmers’ crops, which are stored in distribution warehouses, which are further distribution based on demand of industries. This study developed non-linear mix integer programming model to minimize the annual total costs by incorporating (i) the approach of coordinated planning system, (ii) concept of echelon stock, (iii) single time cycle policy and (iv) transportation route. Many constraints were developed using various criteria. Feasible solution to the mathematical model was obtained by using heuristics method by Clarke and Wright.
Calculation of Raw Material Costs for the Palm Oil Supply Chain Value Added Using Modified Hayami Method
Authors: Hidayat Syarif 
Published: June 2019

Abstract
The stakeholders in the palm oil supply chain (POSC) are the smallholder farmers who produce fresh fruit bunch (FFB), the traders, CPO factory who produces CPO from FFB, refinery who transformed CPO into frying oil, the distributors/retailers, and the consumers. The palm oil tree regularly produces FFB from its third until 24th year of life.The output of the farmers is measured in its weight (tonnes), so are the outputs of the trader, the CPO factory, the refinery, and the distributors/retailers. However the input to the farmer must be measured differently because the main raw materials are bought in the form of seedling or young palm-oil tree, to be planted on the field and regularly bear FFB to be later sold in tons. The objective of this study is to build a calculation model to allocate the raw material prices of the seedling. Original Hayami method to calculate single company added value was modified to facilitate calculation of the added value of supply chain network of companies. The calculation is based on the crude palm oil (CPO) factory capacity of processing 30 tons of FFB per hour, calculated for a year. The life-cycle-cost approach was used to calculate the appropriate cost of the raw material. Using this approach the raw material cost is IDR 1,012/kg, and the the total POSC added-value is IDR 13,011 per kg of product. It is expected that the modified Hayami added value calculation method can be later applied to larger and more complex industries.
A framework for the impact of lean six sigma on supply chain performance in manufacturing companies
Authors: Pardamean Gultom Gihon Davilia , Wibisono Eric 
Published: June 2019

Abstract
The use of lean six sigma in manufacturing industry has been more intense in the past decade. This method comprises two concepts: lean and six sigma, each with its own objectives. Lean is a concept that aims to optimize the value stream process by eliminating all kind of waste. Meanwhile, the goal of six sigma is to increase process capability in the value stream by aiming for zero defects and reduced process variation. The supply chain performance of manufacturing companies is determined by the ongoing internal activities reflected in the value stream, therefore both lean and six sigma applications are hypothesized to have an impact on the performance. Based on the reviewed literature, this study aims to produce a framework that can be used to explain the impact of lean and six sigma on supply chain performance. In the proposed framework, lean indicators are reflected in just-in-time, quality management and employee involvement, whereas six sigma indicators are characterized by the six sigma variables. At the other end of the equation, supply chain performance is defined by four constructs which are supplier selection, production, delivery and logistic performance, and warehouse.
Effect of Organic Plating Additives Concentration on Carbon Content and Donor Density of Electroplated Tin
Authors: Angelynne Fabro Marie , Mena Manolo 
Published: June 2019

Abstract
Pure tin is widely used as a replacement of Pb-Sn eutectic alloy as finish and solder material. This study aims to determine how the increasing concentration of organic plating additives affects the carbon content and donor density of electroplated Sn. Pure tin was electroplated on an Al sheet in a Hull cell using a commercial plating solution. Plating was performed in electrolyte baths with primary additive concentration from 100 mL/L to 600 mL/L, and with secondary additive concentration from 8 mL/L to 48 mL/L. Current densities of 15, 8 and 3 A/dm2 were considered. The increased concentration of organic plating additives caused an increase in carbon content of the deposit from 5 wt.% C to 8 wt.%C. Mott-Schottky measurements showed increasing electron donor density of up to four orders of magnitude as a function of current density and carbon content. A higher current density during deposition causes the tin oxide film to reach the donor density saturation value at lower concentrations of organic plating additives. This suggests that current plays a role in the decomposition of organic additives, which results in the incorporation of carbon in the deposit.
Study of Surface Roughness of Electronic Substrate on Abrasive Belt Grinding
Authors: Tao Q.B. , Tran M.T. , Bui H.T. 
Published: June 2019

Abstract
Machining processing industries have continuously developed and improved technologies and processes to transform finished product to obtain better super finished product quality and thus increase products. Abrasive machining is one of the most important of these processes and therefore merits special attention and study. Indeed, grinding is the process of removing metal by the application of abrasives which are bonded to form a rotating wheel or belt. When the moving abrasive particles contact the workpiece, they act as tiny cutting tools, each particle cutting a tiny chip from the workpiece. The abrasive belt grinding is efficient, economic, widely used and being said “universal grinding”. It can get high machining accuracy and surface quality. Surface quality is a very important aspect of machining quality and it is the most important parameter to measure the surface quality. Many factors affect the surface roughness such as performance of abrasive belt, the amount of abrasive belt grinding, hardness of contact wheel. And the most important one is the amount of grinding. For electronic packaging, before soldering, copper substrates have to be polished by both chemical and mechanical polishing. Therefore, this article is aimed at that status so that to design and manufacture a new abrasive belt grinding machine. And then the surfaces for soldering of Cu substrates are ground and polished using the machine. Finally, the surface roughness of copper substrates polished by the abrasive belt grinding machine is evaluated and compared with other grinding machines.
Methods for data-driven multiscale model discovery for materials
Authors: Brunton Steven L , Kutz J Nathan 
Published: June 2019

Abstract
Despite recent achievements in the design and manufacture of advanced materials, the contributions from first-principles modeling and simulation have remained limited, especially in regards to characterizing how macroscopic properties depend on the heterogeneous microstructure. An improved ability to model and understand these multiscale and anisotropic effects will be critical in designing future materials, especially given rapid improvements in the enabling technologies of additive manufacturing and active metamaterials. In this review, we discuss recent progress in the data-driven modeling of dynamical systems using machine learning and sparse optimization to generate parsimonious macroscopic models that are generalizable and interpretable. Such improvements in model discovery will facilitate the design and characterization of advanced materials by improving efforts in (1) molecular dynamics, (2) obtaining macroscopic constitutive equations, and (3) optimization and control of metamaterials.
To Risk or Not to Risk? Risk Management and Farm Productivity
Authors: Vigani Mauro , Kathage Jonas 
Published: June 2019

AbstractThe impact of risk management on farm productivity is still being debated. Using survey data from French and Hungarian farms, we estimate the impacts of different risk management strategies and portfolios under varying levels of risk on total factor productivity. Results from a multinomial endogenous switching regression model show that the impacts can be positive or negative, depending on the risk management strategies adopted, the structure of the farming system, and the probability of risks. The choice of risk management strategies influences the farm's production costs and the allocation of resources. More complex risk management portfolios tend to have larger negative productivity impacts due to higher costs and the larger amount of resources subtracted from the production activity. Our results have important implications for risk management policies.
Dennett and Taylor’s alleged refutation of the Consequence Argument
Authors: Gustafsson Johan E 
Published: June 2019

Abstract
Daniel C. Dennett has long maintained that the Consequence Argument for incompatibilism is confused. In a joint work with Christopher Taylor, he claims to have shown that the argument is based on a failure to understand Logic 101. Given a fairly plausible account of having the power to cause something, they claim that the argument relies on an invalid inference rule. In this paper, I show that Dennett and Taylor’s refutation does not work against a better, more standard version of the Consequence Argument. Therefore, Dennett and Taylor’s alleged refutation fails.
Auditory–Articulatory Neural Alignment between Listener and Speaker during Verbal Communication
Authors: Liu Lanfang , Zhang Yuxuan , Zhou Qi , Garrett Douglas D , Lu Chunming , Chen Antao , Qiu Jiang , Ding Guosheng 
Published: June 2019

Abstract
Whether auditory processing of speech relies on reference to the articulatory motor information of speaker remains elusive. Here, we addressed this issue under a two-brain framework. Functional magnetic resonance imaging was applied to record the brain activities of speakers when telling real-life stories and later of listeners when listening to the audio recordings of these stories. Based on between-brain seed-to-voxel correlation analyses, we revealed that neural dynamics in listeners’ auditory temporal cortex are temporally coupled with the dynamics in the speaker’s larynx/phonation area. Moreover, the coupling response in listener’s left auditory temporal cortex follows the hierarchical organization for speech processing, with response lags in A1+, STG/STS, and MTG increasing linearly. Further, listeners showing greater coupling responses understand the speech better. When comprehension fails, such interbrain auditory-articulation coupling vanishes substantially. These findings suggest that a listener’s auditory system and a speaker’s articulatory system are inherently aligned during naturalistic verbal interaction, and such alignment is associated with high-level information transfer from the speaker to the listener. Our study provides reliable evidence supporting that references to the articulatory motor information of speaker facilitate speech comprehension under a naturalistic scene.