scholarly journals Akurasi dalam Memprediksi Penetapan Besaran Anggaran Proposal Pendapatan dan Belanja Universitas Menggunakan Metode Monte Carlo

2020 ◽  
pp. 60-66
Author(s):  
Yogo Turnandes ◽  
Yuhandri Yunus
Keyword(s):  
Higher Education ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Community Service ◽  
The Monte Carlo Method ◽  
Average Accuracy ◽  
Service Activities ◽  
High Level ◽  
The University

The Institute for Research and Community Service at the University of Lancang Kuning has the mandate in research and service activities which are the two dharmas of the Tri Dharma of Higher Education. The purpose of this study is to predict the determination of the budget amount for the University Income and Expenditure Budget (APBU) proposal approved at LPPM Unilak for the following year. Thus, it will make it easier for the LPPM leadership to make decisions on the acceptance of APBU proposals that are approved quickly and optimally. The data used in this research is APBU research and service proposal data approved in 2018 to 2020 which is processed using the monte carlo method. The APBU proposal budget prediction will be carried out every year. Based on the results of tests that have been carried out with the monte carlo method, it is found that the system used to predict the amount of APBU proposal budget approved in 2019 with an average accuracy of 84% and in 2020 with an average accuracy of 73%. Then with a fairly high level of accuracy, the application of the Monte Carlo method is considered to be able to predict the amount of the APBU proposal budget that is approved by each faculty each year.

scholarly journals Simulasi Monte Carlo dalam Prediksi Jumlah Penumpang Angkutan Massal Bus Rapid Transit Kota Padang

2020 ◽  
Author(s):  
Khaliq Alfikrizal ◽  
Sarjon Defit ◽  
Yuhandri Yunus
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Real Data ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
High Quality ◽  
Simulation Data ◽  
The Monte Carlo Method ◽  
Average Accuracy ◽  
High Level

Bus Rapid Transit is a system of bus facilities, services and comfort which is used to increase speed and reliability and is integrated with a strong transit identity through high quality services. Trans Padang is a land transportation based on Bus Rapid Transit in Padang City which is managed by the Transportation Agency which started operating in January 2014 with a total bus fleet of 10 units on the Lubuk Buaya-Pasar Raya Padang route. Currently it has 2 corridors operating out of 6 corridors designed. This study aims to predict the number of Bus Rapid Transit passengers in Padang City and determine the level of accuracy of simulation data with real data using the Monte Carlo method. The data used to predict the number of passengers is data on the number of passengers from January 2017 to December 2019. From the simulations carried out, simulated accuracy is obtained for predicting the number of passengers with an average accuracy of above 80%. Based on a fairly high level of accuracy, the application of the Monte Carlo method to predict the number of Bus Rapid Transit passengers in Padang City is considered to be able to predict the number of passengers in the following year.

scholarly journals Simulasi Monte Carlo dalam Memprediksi Tingkat Pendapatan Advertising

2020 ◽  
pp. 80-85
Author(s):  
Beni Mulyana Putra ◽  
Sarjon Defit ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Business Strategy ◽  
Business Owners ◽  
Business Strategies ◽  
Advertising Revenue ◽  
The Monte Carlo Method ◽  
Average Accuracy ◽  
The Right ◽  
High Level

Fulfilling consumer needs is the goal of every business. Owned business capital will affect the readiness to serve consumer demand. The purpose of this study is to predict the level of advertising revenue at Vand Advertising Printing in order to facilitate business owners in preparing business strategies quickly and optimally. This research data is income data from January 2017 to December 2019 which is modeled using the Monte Carlo method. Income level prediction will be carried out annually. Based on the results of the tests that have been done, it is found that the system used to predict the level of advertising revenue with an average accuracy of 90%. The high level of accuracy means that the application of the Monte Carlo method is considered able to predict the level of advertising revenue each year. So that it can make it easier for business owners to choose the right business strategy to increase advertising revenue.

Monte Carlo method for the reduction of measurement errors in the material parameter estimation with cavities

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ronny Peter ◽  
Luca Bifano ◽  
Gerhard Fischerauer
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Errors ◽  
Input Data ◽  
Material Parameter ◽  
Cavity Resonator ◽  
Calculation Algorithm ◽  
The Monte Carlo Method ◽  
Electromagnetic Resonances

Abstract The quantitative determination of material parameter distributions in resonant cavities is a relatively new method for the real-time monitoring of chemical processes. For this purpose, electromagnetic resonances of the cavity resonator are used as input data for the reverse calculation (inversion). However, the reverse calculation algorithm is sensitive to disturbances of the input data, which produces measurement errors and tends to diverge, which leads to no measurement result at all. In this work a correction algorithm based on the Monte Carlo method is presented which ensures a convergent behavior of the reverse calculation algorithm.

scholarly journals Application of Monte Carlo Methods to Consider Probabilistic Effects in a Race Simulation for Circuit Motorsport

2020 ◽  
Vol 10 (12) ◽  
pp. 4229 ◽  
Author(s):  
Alexander Heilmeier ◽  
Michael Graf ◽  
Johannes Betz ◽  
Markus Lienkamp
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
State Of The Art ◽  
Probability Distributions ◽  
Strategic Decisions ◽  
The Monte Carlo Method ◽  
Random Events ◽  
Example Variability

Applying an optimal race strategy is a decisive factor in achieving the best possible result in a motorsport race. This mainly implies timing the pit stops perfectly and choosing the optimal tire compounds. Strategy engineers use race simulations to assess the effects of different strategic decisions (e.g., early vs. late pit stop) on the race result before and during a race. However, in reality, races rarely run as planned and are often decided by random events, for example, accidents that cause safety car phases. Besides, the course of a race is affected by many smaller probabilistic influences, for example, variability in the lap times. Consequently, these events and influences should be modeled within the race simulation if real races are to be simulated, and a robust race strategy is to be determined. Therefore, this paper presents how state of the art and new approaches can be combined to modeling the most important probabilistic influences on motorsport races—accidents and failures, full course yellow and safety car phases, the drivers’ starting performance, and variability in lap times and pit stop durations. The modeling is done using customized probability distributions as well as a novel “ghost” car approach, which allows the realistic consideration of the effect of safety cars within the race simulation. The interaction of all influences is evaluated based on the Monte Carlo method. The results demonstrate the validity of the models and show how Monte Carlo simulation enables assessing the robustness of race strategies. Knowing the robustness improves the basis for a reasonable determination of race strategies by strategy engineers.

scholarly journals CARA MENGAMBIL KEPUTUSAN YANG TEPAT UNTUK MEMILIH JURUSAN DAN PERGURUAN TINGGI YANG TEPAT PADA SISWA SMA DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Fuji Rahayu Wilujeng
Keyword(s):  
Higher Education ◽  
Community Service ◽  
Analytical Hierarchy Process ◽  
Early Education ◽  
Service Activities ◽  
Education Of Students ◽  
The University ◽  
Hierarchy Process ◽  
Selection Of

<p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>At this time, often encountered many students who feel wrong in choosing majors and the university even when they are already enrolled, it majors selected not according to their talents and interests.</em><em> Early education of students and students will minimize the potential that they will feel disappointed with their choice when they are educated in college. Therefore, through community service activities is intended to provide education about how and step in selecting or determining the most appropriate option to continue their studies to pursue higher education. After this workshop, students feel very satisfied because they have an alternative keputuan in the selection of majors to continue to pursue higher education in accordance with their interests and talents.</em><em> </em><em></em></p><pre> </pre><strong><em>Keywords</em></strong><em>: Analytical Hierarchy Process, making decisions</em>

Determination of Allowable Manipulator Link Shapes; and Task, Installation, and Obstacle Spaces Using the Monte Carlo Method

1993 ◽  
Vol 115 (3) ◽  
pp. 457-461 ◽  
Author(s):  
Q. Tu ◽  
J. Rastegar
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Shape Design ◽  
Task Space ◽  
Operating Environment ◽  
Design Task ◽  
The Monte Carlo Method ◽  
Manipulator Link ◽  
And Task

The Monte Carlo method is used to solve a number of manipulator link shape design, task space, and obstacle placement problems. The shape of links of manipulators that are to operate within geometrically specified enclosures are determined. Within the enclosure, one or several obstacles may be present. For a specified operating environment, the spaces within which a given manipulator may be installed in order to perform the required tasks are identified. For a given enclosure, the allowable task spaces, and regions within which obstacles may be placed are mapped. By defining weighted distributions for the task and/or obstacle spaces, weighted allowable link shapes, and task and obstacle spaces are determined. The information can be used for optimal link shape synthesis, and for optimal task, obstacle, and manipulator placement purposes. The developed methods are very simple, numeric in nature, and readily implemented on computer. Several examples are presented.

scholarly journals Training, Strengthening and Development of School Organizations Based on Entrepreneurship

2020 ◽  
Vol 1 (1) ◽  
pp. 14-22
Author(s):  
Didin Hadi Saputra ◽  
M. Nasuhi ◽  
Dhandi Hidayatullah ◽  
Mikyarul Ilmy ◽  
Hidayatullaely Hidayatullaely ◽  
...  
Keyword(s):  
Higher Education ◽  
Community Development ◽  
Community Service ◽  
Higher Education Institutions ◽  
Student Organizations ◽  
Academic Activity ◽  
Training Development ◽  
Service Activities ◽  
School Organizations ◽  
The University

Implementation of community service activities for Higher Education Institutions is a necessity and an obligation. This is the breath of an academic activity in the Tri Dharma College. This service was attended by representatives of academics, students and service partners of the University of Nahdlatul Wathan Mataram, namely Madrasah Aliyah Nahdlatul Wathan Lenek Lauk, the purpose of this service was to foster independence in applying science in the community. The solution offered by the service team is to provide ongoing assistance for partners, namely student organizations in the target schools. The method used is to provide assistance during activities, and continue activities that have not been completed with further activities. The activity began with the introduction of each member of the service, and introduced the aims and objectives of the service itself, namely for training, development, and challenges in community development in the fostered partner school of the Faculty of Administrative Sciences, Nahdlatul Wathan University, Mataram. In this dedication activity, it gives a pretty good hope, especially for partners, namely learning how to become an agent or pilot location in each service held by the Faculty of Administrative Sciences, Nahdlatul Wathan University, Mataram

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