scholarly journals Pengaruh coverage terhadap produktivitas alat gali-muat di PT Pama Persada Nusantara jobsite PT Adaro Indonesia

2021 ◽  
Vol 6 (2) ◽  
pp. 105
Author(s):  
Yurika Lisnawati ◽  
Uyu Saismana ◽  
Eko Santoso
Keyword(s):  
Dispatch System ◽  
Data Coverage

Perlu dilakukan analisis terhadap pengaruh coverage pada produktivitas alat gali muat agar dapat memenuhi target produktivitas PT Pama Persada Nusantara. Coverage merupakan salah satu faktor yang berpengaruh terhadap produktivitas alat gali muat. Pengaturan terhadap alat gali muat dan angkut secara optimal dapat dilakukan dengan pemantauan terus menerus, sehingga dibutuhkan dispatch system untuk mengoptimalkan dan mengendalikan arus lalu lintas peralatan mekanis  pada PT Pama Persada Nusantara. Metode yang digunakan dalam penelitian ini adalah dengan menganalisis waktu edar alat gali muat dan alat angkut, tingkat pemenuhan alat angkut (coverage), pengaruh coverage terhadap produktivitas alat gali muat, serta perbadingan data coverage berdasarkan teori statistik. Hasil dari analisis data adalah diketahuinya nilai coverage terbaik untuk menghasilkan produktivitas paling tinggi. Pemberian nilai coverage diatas 100% tidak selalu berbanding lurus dengan peningkatan produktivitas alat gali muat dan berdasarkan perhitungan data secara statistik diketahui bahwa coverage 110% merupakan coverage yang menghasilkan produktivitas paling tinggi dibandingkan coverage yang lainnya yaitu sebesar 896 bcm/jam dengan nilai loading time 2,5 menit, spotting time 0,7 menit dan wait for truk bertutut-turut 2,2 menit. Kata-kata kunci: dispatch system, loading time, spotting time, wait for truk

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

The telecommunication infrastructure: A model for optimum voice-data coverage

2006 ◽  
Vol 14 (4) ◽  
pp. 278-287 ◽  
Author(s):  
Manisa Pipattanasomporn ◽  
Saifur Rahman
Keyword(s):  
Telecommunication Infrastructure ◽  
Data Coverage ◽  
Voice Data

scholarly journals Comparison of continuous in-situ CO<sub>2</sub> observations at Jungfraujoch using two different measurement techniques

2014 ◽  
Vol 7 (7) ◽  
pp. 7053-7084
Author(s):  
M. F. Schibig ◽  
M. Steinbacher ◽  
B. Buchmann ◽  
I. T. van der Laan-Luijkx ◽  
S. van der Laan ◽  
...  
Keyword(s):  
Materials Science ◽  
Measurement Techniques ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Smooth Transition ◽  
Research Station ◽  
Short Term ◽  
Technical Problems ◽  
Two Systems ◽  
Data Coverage

Abstract. Since 2004, atmospheric carbon dioxide (CO2) is measured at the High Altitude Research Station Jungfraujoch by the division of Climate and Environmental Physics at the University of Bern (KUP) using a nondispersive infrared gas analyzer (NDIR) in combination with a paramagnetic O2 analyzer. In January 2010, CO2 measurements based on cavity ring down spectroscopy (CRDS) as part of the Swiss National Air Pollution Monitoring Network have been added by the Swiss Federal Laboratories for Materials Science and Technology (Empa). To ensure a smooth transition – a prerequisite when merging two datasets e.g. for trend determinations – the two measurement systems run in parallel for several years. Such a long-term intercomparison also allows identifying potential offsets between the two datasets and getting information about the compatibility of the two systems on different time scales. A good agreement of the seasonality as well as for the short-term variations was observed and to a lesser extent for trend calculations mainly due to the short common period. However, the comparison revealed some issues related to the stability of the calibration gases of the KUP system and their assigned CO2 mole fraction. It was possible to adapt an improved calibration strategy based on standard gas determinations, which lead to better agreement between the two data sets. By excluding periods with technical problems and bad calibration gas cylinders, the average hourly difference (CRDS − NDIR) of the two systems is −0.03 ppm ± 0.25 ppm. Although the difference of the two datasets is in line with the compatibility goal of ±0.1 ppm of the World Meteorological Organization (WMO), the standard deviation is still too high. A significant part of this uncertainty originates from the necessity to switch the KUP system frequently (every 12 min) for 6 min from ambient air to a working gas in order to correct short-term variations of the O2 measurement system. Allowing additionally for signal stabilization after switching the sample, an effective data coverage of only 1/6 for the KUP system is achieved while the Empa system has a nearly complete data coverage. Additionally, different internal volumes and flow rates between the two systems may affect observed differences.

scholarly journals The implementation of a dual dispatch system in out-of-hospital cardiac arrest is associated with improved short and long term survival

2014 ◽  
Vol 3 (4) ◽  
pp. 293-303 ◽  
Author(s):  
Per Nordberg ◽  
Jacob Hollenberg ◽  
Mårten Rosenqvist ◽  
Johan Herlitz ◽  
Martin Jonsson ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Term Survival ◽  
Long Term Survival ◽  
Dispatch System ◽  
Short And Long Term ◽  
Hospital Cardiac Arrest

scholarly journals Eligibility for intravenous thrombolysis in acute stroke: A multicenter prospective study

Stroke ◽  
2001 ◽  
Vol 32 (suppl_1) ◽  
pp. 372-372
Author(s):  
Enrique Mostacero ◽  
Sonia Santos ◽  
Antonio Davalos ◽  
Alberto Gil-Peralta ◽  
Jose Castillo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Prospective Study ◽  
Acute Stroke ◽  
Life Support ◽  
Advanced Life Support ◽  
Stroke Onset ◽  
Stroke Severity ◽  
Street Hospital ◽  
Modifiable Factors ◽  
Dispatch System

P182 Objective: To elucidate the proportion of patients who would have been eligible for alteplase treatment following the ECASS II criteria in a prospective study conducted in 20 Spanish general or university hospitals. Methods: The first 100 consecutive patients with an acute stroke admitted between 9/98 and 4/99 in each participating hospital were evaluated. Data concerning exclusion criteria for tPA, demographic variables, distance to hospital (<5km,5–20km,>20km), time (0–6am,6–12,12–6pm,6–12pm) and place (home, work/street, hospital) of symptoms onset, subject detecting the event (victim, family member, bystander), dispatch system (own initiative, EMS, primary physician, community hospital), delay and type of transport (own transport, basic, or advanced life support ambulance), cardiovascular risk factors, stroke severity (Canadian scale) and type of stroke were recorded. Results: Out of 1599 screened patients, 166 (10.4%) fulfilled all criteria for tPA treatment. Multiple reasons for exclusion were time from onset >6h in 23%, or unknown in 23%, delay in neurological attention >6h in 39%, TC not available within 6h from onset in 34%, hemorrhage in 14%, early signs of infarction involving >33% MCA in 8%, TIA or rapidly improving symptoms in 24%, coma or hemiplegia plus forced eye deviation in 5%, hypertension >185/110 in 2%, coagulation abnormalities in 1%, and other reasons in 6%. Univariate analyses showed that high eligibility for tPA was associated with type of the first medical intervention (emergency medical system)(p=0.006), type of transport (basic or advanced life support ambulance)(p<0.0001), stroke severity (p<0.001), and type of stroke (cardioembolic) (p=0.0027). Age, distance to hospital, time and place of stroke onset, subject detecting the event, and risk factors were not significantly related to eligibility. Conclusions: Candidates for intravenous tPA treatment within 6 hours from stroke onset are 10% of patients admitted in general hospitals of an EU country. Delay in neurologic attention and CT examination were the main reasons for exclusion. Dispatch system, and type of transport were modifiable factors related to eligibility.

scholarly journals The effects of data adequacy and calibration size on the accuracy of presence-only species distribution models

2019 ◽  
Author(s):  
Truly Santika ◽  
Michael F. Hutchinson ◽  
Kerrie A. Wilson
Keyword(s):  
Performance Measures ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Simulated Data ◽  
List Type ◽  
Model Accuracy ◽  
Distribution Models ◽  
Accuracy Measure ◽  
Data Coverage ◽  
True Distribution

ABSTRACTPresence-only data used to develop species distribution models are often biased towards areas that are frequently surveyed. Furthermore, the size of calibration area with respect to the area covered by the species occurrences has been shown to affect model accuracy. However, existing assessments of the effect of data inadequacy and calibration size on model accuracy have predominately been conducted using empirical studies. These studies can give ambiguous results, since the data used to train and test the model can both be biased.These limitations were addressed by applying simulated data to assess how inadequate data coverage and the size of calibration area affect the accuracy of species distribution models generated by MaxEnt and BIOCLIM. The validity of four presence-only performance measures, Contrast Validation Index (CVI), Boyce index, AUC and AUCratio, was also assessed.CVI, AUC and AUCratio ranked the accuracy of univariate models correctly according to the true importance of their defining environmental variable, a desirable property of an accuracy measure. Contrastingly, Boyce index failed to rank the accuracy of univariate models correctly and a high percentage of irrelevant variables produced models with a high Boyce index.Inadequate data coverage and increased calibration area reduced model accuracy by reducing the correct identification of the dominant environmental determinant. BIOCLIM outperformed MaxEnt models in predicting the true distribution of simulated species with a symmetric dominant response. However, MaxEnt outperformed BIOCLIM in predicting the true distribution of simulated species with skew and linear dominant responses. Despite this, the standard performance measures consistently overestimated the performance of MaxEnt models and showed them as always having higher model accuracy than the BIOCLIM models.It has been acknowledged that research should be directed towards testing and improving species distribution modelling tools, particularly how to handle the inevitable bias and scarcity of species occurrence data. Simulated data, as demonstrated here, provides a powerful approach to comprehensively test the performance of modelling tools and to disentangle the effects of data properties and modelling options on model accuracy. This may be impossible to achieve using real-world data.

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