bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lean six sigma for manufacturing industry: a review
Authors: Siregar Khawarita , Ariani Farida , Ginting Elisabeth , Trie Dinda M P 
Published: July 2019

Abstract
The literature review is a review of several published journals on a particular topic. Lean Six Sigma (LSS) is a method that has been widely used in research in various fields and continues to grow, so it is important to review this method to get the most common topics solved. LSS is an ongoing improvement methodology with the aim of reduce costs for producing poor quality, reduce waste of non-value-added activities and increase value for consumers and company. The purpose of this review is to find out the objective of using LSS, the tools used in implementing LSS in the manufacturing industry and to identify the factors that have caused the company’s failure to implement LSS.
An integrated production and inventory model considering reworks and two types of demand simultaneously in a two level supply chain network
Authors: Jonrinaldi  , Rahman T , Henmaidi  , Wirdianto Eri , Muluk Asmuliardi 
Published: July 2019

Abstract
This study proposed an integrated production and inventory model for multiple items or products considering two types of demand (continuous and discrete demand) and rework process of defect products and disposal in a two level supply chain network consisting of a vendor and a buyer. The multiple items or products are processed and produced in a single facility of the vendor. This model developed is applied for the system consisting of a vendor and a buyer where the vendor produces multiple items and delivers apart of them to the buyer as the discrete demand and others as continuous demand to end customers. During the production time there will be some defect products where apart of them will be reworked to be a good ones and some others will be disposed of. A mathematical model is built to describe the problem studied referred to the basic inventory models. The continuous demand coming from the other customers are served at anytime while the discrete demand from the buyer are served by the vendor using a number of deliveries shipments during the cycle time. The aim of the model developed is to minimize the total operational cost of the supply chain network. The model then is solved by algorithm and optimization methods as solution procedures. A numerical example is given to demonstrate the practical usage of the model and results are discussed. Sensitivity analysis to show the changes of optimal solutions which are affected by the changes of input parameters is also performed. Last, conclusions and potential future research are noted and explained.
Strategy and policy for increasing work productivity of operators in the steel industry through work improvement with lean method (journal review)
Authors: Herlambang A , Hidayati J 
Published: July 2019

Abstract
Increasing tight of competition in the steel market and then need to be taken to make efficiency and effectiveness in the company. Not achievement of production targets which have been set that it will can have a negative impact for the company. Therefore it is necessary to create a good strategy to make the right policy to solve in the internal problems of production company. One the right of strategy for a manufacturing company is to use the Lean Method. Due to some approaches and tools can be used by manufacturing companies. This articel use balancing analysis and work standards. Some tools in lean method can be used adjusted to situation and the conditions of the company that can also improve the standardization of work and improve productivity of manufacturing. Therefore it is necessary to conduct more in depth empirical studies in applying this methode. Based on the results of this review literature study is expected readers can implemen lean method in accordance needs of manufacturing companies.
Nawaz, Enscore, Ham (NEH) Algorithm To Minimization Of Makespan In Furniture Company
Authors: Rizkya I , Syahputri K , Sari R M , Siregar I , Tambunan M M , Anizar  , Tarigan U , Isnaini N 
Published: July 2019

Abstract
This study describes production scheduling to minimize the delay in delivering products to consumers. Production scheduling using Nawaz, Enscore, Ham (NEH) Algorithm is done to minimize the total processing time of the product so that the product is finished on time. The fulfillment of due date affects the process of delivering products to consumers. Production scheduling is done in the furniture industry that runs the First-Come-First-Serve (FCFS) scheduling system. This study also compares the performance of the FCFS scheduling system with NEH Algorithm. FCFS scheduling is the existing scheduling systemthat has been implemented. The results of production scheduling with the NEH algorithm indicate the time required to complete all of orders (makespan) more shorter than the First Come First Serve method. the NEH Algorithm is smaller at 78.61 hours or 5.07% than than company’s actual method, the FCFS system. The performance of NEH algorithm also proves that it is better than company’s actual method with the efficiency index value of 1.05.
Distribution Center material flow control: a line balancing approach
Authors: Aamer Ammar M , Islam Sri S 
Published: July 2019

Abstract
Distribution Center (DC) operations entail several steps and processes to deliver the product/service to the customer. With processes that entail several steps, it is expected that flow issues will arise. One of the most troubling issues in DCs is the material flow balance, especially in DCs with semi-automated facilities. In such facilities, there is so much reliance on the machines to do the work more efficiently. However, if we do not understand the logic of the machines and the flow, the process become inefficient and we create more bottlenecks and unbalanced production flow between input and output. The objective of this paper is to highlight the DC flow issues in semi-automated flow. More specifically, the paper focuses on the issue of running daily production/material flow based on the number of available people and not the output number required per day. We applied the line balancing approach as one of the lean manufacturing strategies in managing flow. We developed a line balance tool to help practitioners control the production flow more efficiently.
User interface evaluation of official store for FMCG (fast moving consumer goods) products in e-commerce website using user experience approach
Authors: Lestari R A , Muslim E , Moch B N 
Published: July 2019

Abstract
Currently, digital technology makes people can do online shopping using e-commerce. Sales of FMCG products through e-commerce websites are currently growing rapidly and will continue to improve in the following years. When using a website, user experience becomes more important than any other products or services. However, from previous research, there is still usability problem when a user using the official store for FMCG product in an e-commerce website. This study aims to evaluate the official store’s user interface using the user experience approach with performance metrics, self-reported metrics, behavioral metrics, and issue-based metrics that assess performance, perception, behavior, and issue that the user perceives when interacting with the website. Based on the evaluation results, the dimensions of ease of use, interface quality, and satisfaction was not good enough, so that strategy and interface design recommendation are done.
User experience modeling on consumer-to-consumer (c2c) e-commerce website
Authors: Hellianto G R , Suzianti A , Komarudin  
Published: July 2019

Abstract
Rapid technology and communication developments have brought us to the digital age, where its media, such as the internet become one famous media that is widely used for various purposes around the world. Many organizations view this situation as a space or new media to do business expansion as an innovative way of doing activities that meet the communities’ expectations of economy-related aspects of convenience, known by the term of e-commerce as one alternative options for the organizations as a medium of information to facilitate the presence of interaction between sellers and buyers without limited time and space, where their progress was supported by the use of the website. How the user experience in interacting with the website become an important key in the advancement of the e-commerce. This research provides user experience modeling on e-commerce website in order to be able to increase the success of e-commerce business performance through the use of the website. This research focuses on e-commerce type of C2C in Indonesia with the aim to model the relationships of each user experience factors using structural equation modeling.
Inventory and Transportation Model for Decision Making in Cement Industry (Case study at PT Semen Padang)
Authors: Sulistyo Daniel Eko , Jonrinaldi  , Herryandie Alexie 
Published: July 2019

Abstract
To survive the cement business competition, logistics strategy becomes one of the key factors. Demand fluctuations force companies to make dynamic decision. Any logistic operation decisions determine amount of total cost. Decision of production method can determine both inventory cost and stock out cost. In the other side, decision of transport order determine transport cost, inventory cost and stock out cost. PT Semen Padang is one of companies that produce and trade cement and clinker with 10,400,000 ton cement production capacity per year. Currently, most of cement production is done in Indarung (about 25,000 ton per day), in mass production to prevent stock outs. Customer demand is supplied by land routes that begins from Indarung and sea route that begins from Teluk Bayur. Cement freight from Indarung to Teluk Bayur is used bulk train and bulk truck. PT Semen Padang cooperate with PT Kereta Api Indonesia where there are transport targets for a period which if not achieved, then PT Semen Padang still has to pay a number of targets. The authors believes that there must be something that can be used to determine what should be the order of production and transportation at one time (daily), so that the optimal cost in a period is reached. The authors do the system modelling and descriptions of the required parameters so that the mathematical formulation can be compiled to be applied to the computer simulation that can be used by logistics manager to take operational decisions.
Analytical Hierarchy Process and PROMETHEE as Decision Making Tool: A Review
Authors: Ishak Aulia , Asfriyati  , Akmaliah Vina 
Published: July 2019

Abstract
Journal reviews published on a typical topic are called review literature. AHP is a multi-criteria decision that is widely used that makes research tools in various fields and continues to improve its use, so we can conduct a review of AHP and PROMETHEE to get the most commonly studied topics. AHP provides a proven and effective way to handle complicated decision making and can assist in analyzing collected data and speeding up decision making methods and identifying and weighing criteria. Rating Organization Method Preference for Enrichment Evaluation (PROMETHEE) is an established decision support system that deals with the assessment and selection of a series of options based on several criteria with the aim of obtaining rank among them. Simultaneously can deal with qualitative and quantitative criteria. The purpose of this paper is to find out about the use of PROMETHEE and Analytical Hierarchy processes as decision-making tools.
Designing production planning optimization model using linear programming method at a coal supply company
Authors: Zagloel T Y M , Napitupulu R A S 
Published: July 2019

Abstract
A coal supply company in Jakarta that acts as a terminal and a coal processing plant has no production planning method yet, while the demand faced is very volatile. This resulted in the company’s profit to be not optimal. Therefore, it is needed a mathematical model that can be used to make the right production planning so that the company can maximize the company’s profit. Mathematical model is built with Linear Programming method. The objects to be research are fine, nut, and rom coal. The result of this research is obtaining optimum quantity of production from three product types and profit obtained each period in the next 12 periods (May 2018 – April 2019).
Performance of Generator Pneumatic for Power Plant of Ocean Wave
Authors: Indriani A. , Hendra  , Suhartini Yenni , Tanjung Ariani 
Published: July 2019

Abstract
Pneumatic mechanism has been used in the electrical fields, industrial fields, automotive fields, mechanical fields and so on. The principle of pneumatic work is up and down the piston due to the pressure happen in this system. This mechanism can be applied for ocean wave power generation by use wave water. In the previous study, pneumatic mechanism has been used for mini generator of wave power plant [1]. Component of generator for power plant of ocean wave consist on shaft, tube, magnet neodymium, buoys, lamp LED and wire. In this paper we will focus on the varying of dimensions and position of valve and number of buoys. The results show that position valve of tube piston with double exhaust valve can be work well to give output (Voltage) compare the single exhaust valve. The output of position of tube piston with double exhaust valve is 3.2 Volt with 5 buoys and 2 parallel tube piston.
Integrated Model Development in Information Technology Adoption
Authors: Sanco S , Harmein N , Rahim M , Nazaruddin  
Published: July 2019

Abstract
Electronic services have become an important part in the implementation of electronic governance. Government electronic services are an important tool for effective cooperation in any country between government, authorities, citizens, organizations, and so on. The purpose of this research is to identify and collect, analyze and compile various factors that influence the implementation process of electronic government services. The use of e-government is very dependent on how the user, trust in using and adopting the service. Some barriers to adopting e-government services such as lack of trust are considered as one of the main obstacles. In addition, citizens ‘trust in e-government and social influence were found to be significant predictors of citizens’ behavioral intentions to use e-government services. This study contributes by providing a conceptual model that is useful for studying citizen trust and the behavior of using e-government services in Indonesia.
Measurement and Proposed Improved Supply Chain Performance approach With PDCA frame work
Authors: Matondang Nazarudin , Sitompul Fachri Rizky 
Published: July 2019

Abstract
Supply Chain Management covers all the activities since material came from the supplier, then the material was processed into semi-finished products or finished products until the product is distributed to consumers. To know the performance of the company’s Supply Chain, measurement is needed. From these measurements will be obtained result, so good or not good performance of the company’s Supply Chain can be seen and can find the weaknesses of existing systems to be repaired. Given a good supply chain performance, the performance the company will increasingly focus and provide benefits, whether for the company, suppliers, and consumers. The company in this research is a company engaged in manufacturing Crude Palm Oil. The delayed raw material of fresh fruit bunches from suppliers resulted in fluctuating production numbers which need to be identified Supply Chain in the manufacturing process to maximize CPO production. By the result of supply chain performance measurement by using Supply Chain Operation Reference (SCOR) method there are 55 KPI that is 10 KPI for perspective plan, 5 KPI for perspective source, 15 KPI for perspective, deliver, 15 KPI for perspective make, and 10 KPI for perspective return. The result of scoring by using OMAX (Objective Matrix) method obtained by total index value equal to 6,1. Based on the traffic light system, the index is in the yellow category indicating that the performance of company supply chain as a whole has not achieved the expected performance even though the result is close to the target set. From KPI performance measurement result with OMAX calculation and traffic light system, it can be seen that KPI included in green category is 24 KPI, yellow category as many as 25 KPI, and red category as many as 6 KPI.
Academic review on literatures pertaining to the definitions of technological innovation capabilities in the new millennium
Authors: Siallagan Sahala , Silaban Robert , Ali Amir Yazid 
Published: July 2019

AbstractThe aim of this paper is to review the literatures on technological innovation of industries in relating to the growth of the economy in past decade. The data and ideas on this paper come primarily from review articles relating to the economic development of the nations. The level of success in innovation in the various technology differs among countries because of the different national background and cultures. Innovation technology has always played a critical role for the long-term survival of organizations. This paper serves as a description to the researchers in predicting for the next future study to improve the better quality and standard of living.
Predicting bacterial virulence factors – evaluation of machine learning and negative data strategies
Authors: Rentzsch Robert , Deneke Carlus , Nitsche Andreas , Renard Bernhard Y 
Published: July 2019

Abstract
Bacterial proteins dubbed virulence factors (VFs) are a highly diverse group of sequences, whose only obvious commonality is the very property of being, more or less directly, involved in virulence. It is therefore tempting to speculate whether their prediction, based on direct sequence similarity (seqsim) to known VFs, could be enhanced or even replaced by using machine-learning methods. Specifically, when trained on a large and diverse set of VFs, such may be able to detect putative, non-trivial characteristics shared by otherwise unrelated VF families and therefore better predict novel VFs with insignificant similarity to each individual family. We therefore first reassess the performance of dimer-based Support Vector Machines, as used in the widely used MP3 method, in light of seqsim-only and seqsim/dimer-hybrid classifiers. We then repeat the analysis with a novel, considerably more diverse data set, also addressing the important problem of negative data selection. Finally, we move on to the real-world use case of proteome-wide VF prediction, outlining different approaches to estimating specificity in this scenario. We find that direct seqsim is of unparalleled importance and therefore should always be exploited. Further, we observe strikingly low correlations between different feature and classifier types when ranking proteins by VF likeness. We therefore propose a ‘best of each world’ approach to prioritize proteins for experimental testing, focussing on the top predictions of each classifier. Further, classifiers for individual VF families should be developed.
Regional transcriptional architecture of Parkinson’s disease pathogenesis and network spread
Authors: Freeze Benjamin , Pandya Sneha , Zeighami Yashar , Raj Ashish 
Published: July 2019

AbstractAlthough a significant genetic contribution to the risk of developing sporadic Parkinson’s disease has been well described, the relationship between local genetic factors, pathogenesis, and subsequent spread of pathology throughout the brain has been largely unexplained in humans. To address this question, we use network diffusion modelling to infer probable pathology seed regions and patterns of disease spread from MRI atrophy maps derived from 232 de novo subjects in the Parkinson’s Progression Markers Initiative study. Allen Brain Atlas regional transcriptional profiles of 67 Parkinson’s disease risk factor genes were mapped to the inferred seed regions to determine the local influence of genetic risk factors. We used hierarchical clustering and L1 regularized regression analysis to show that transcriptional profiles of immune-related and lysosomal risk factor genes predict seed region location and the pattern of disease propagation from the most likely seed region, substantia nigra. By leveraging recent advances in transcriptomics, we show that regional microglial abundance quantified by high fidelity gene expression also predicts seed region location. These findings suggest that early disease sites are genetically susceptible to dysfunctional lysosomal α-synuclein processing and microglia-mediated neuroinflammation, which may initiate the disease process and contribute to spread of pathology along neural connectivity pathways.
HPTLC Method for Determination of R, R-Glycopyrronium Bromide and its Related Impurities
Authors: Soliman Suzan M , EL-Houssini Ola M 
Published: July 2019

Abstract
An innovative high-performance thin layer chromatographic (HPTLC) method was designed, optimized and validated for the quantification of R, R-glycopyrronium bromide (GLY) and its related impurities in drug substance and drug product. Separation was performed on HPTLC plates pre-coated with silica gel 60 F254 by dichloromethane:methanol:formic acid (10:0.5:0.5, v/v/v) as a developing system. GLY and its related impurities namely, glycopyrronium impurity G and glycopyrronium impurity J, were separated giving compact well-resolved spots with significant retardation factor (Rf) values of 0.17 ± 0.02, 0.34 ± 0.02 and 0.69 ± 0.02, respectively. Quantification was done at 220 nm in the ranges of 0.3–10 and 0.2–4.0 μg/spot with limits of detection and quantification of 0.1, 0.3 and 0.05, 0.2 μg/spot for GLY and its related impurities, respectively. Good accuracy was obtained with mean percentage recovery of 99.48 ± 1.36, 100.04 ± 1.32 and 99.61 ± 0.80 and R2 ≥ 0.9968 for GLY and its impurities, consecutively. Validation parameters were presented according to the International Conference on Harmonization. The method was used to investigate impurity profile of GLY in drug substance and drug product and could be applied in routine analysis of the drug. Comparison between the developed method and the reported method revealed no statistical difference.
Subacute/chronic type A aortic dissection: a retrospective cohort study
Authors: Wu Jinlin , Xie Enzehua , Qiu Juntao , Huang Yan , Jiang Wenxiang , Zafar Mohammad A , Zhang Liang , Yu Cuntao 
Published: July 2019

AbstractOBJECTIVESOur goal was to outline the clinical presentations, surgical treatment and outcomes of subacute/chronic type A aortic dissection (TAAD).METHODSA total of 1092 patients with TAAD were enrolled retrospectively and divided into 2 groups based on acuity of TAAD (181 subacute/chronic vs 911 acute cases of TAAD). Early and late outcomes were investigated and compared using propensity score matching.RESULTSThe top 3 symptoms for subacute/chronic TAAD were chest tightness (80/181, 44.2%), mild pain (65/181, 35.9%) and sweating (58/181, 32.0). Fifteen (15/181, 8.3%) patients were symptom-free. Typical symptoms of acute TAAD were less common in patients with subacute/chronic TAAD such as intense/sharp pain (48/181, 26.5%), tear-like pain (35/181, 19.3%) and radiating pain (30/181, 16.6%). Patients with subacute/chronic TAAD had better early and late survival rates, with an early mortality rate of 6.1% (11/181) compared to 11.6% (106/911) of those with acute TAAD (P = 0.038). Before propensity score matching, survival at 1, 3 and 5 years was 93.1% [95% confidence interval (CI) 89.4–96.9%], 88.4% (95% CI 83.1–93.9%) and 86.4% (95% CI 80.1–93.1%) for subacute/chronic TAAD and 86.9% (95% CI 84.7–89.2%), 82.6% (95% CI 79.9–85.3%) and 79.0% (95% CI 75.5–82.7%) for acute TAAD, respectively (P = 0.039). The propensity score matching analysis substantiated the foregoing results.CONCLUSIONSSubacute/chronic TAAD was clearly distinct from acute TAAD in terms of clinical presentations and had better early and late survival rates. Current surgical strategies for acute TAAD are applicable to subacute/chronic TAAD with excellent outcomes.