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Data Publikasi Jurnal - Tahun 2020

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Analysis Of Entrepreneurial Marketing Canvas On Small-Scale Business

Author

Assoc. Prof. Dr. Rahma Wahdiniwaty, Dra.,M.Si.

Abstrak

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Nama Jurnal

International Conference on Business, Economic, Social Science, and Humanities – Economics, Business and Management Track (ICOBEST-EBM 2019)
Volume 112 Nomor -

URL

https://www.atlantis-press.com/proceedings/icobest-ebm-19/125931945

DOI

New Sampling Based Planning Algorithm For Local Path Planning For Autonomous Vehicles

Author

Dr. Muhammad Aria Rajasa Pohan, M.T

Abstrak

The purpose of this paper was to design a new sampling-based planning algorithm based on the integration of Rapidly-exploring Random Trees (RRT) and Probabilistic Roadmap Method (PRM) algorithms that could be used to build local path planning for autonomous vehicles. The RRT algorithm had the advantage of low computational time but provided suboptimal solutions, while the PRM algorithm had the advantage of providing asymptotically optimal solutions, but high computational time. Then the proposed algorithm combined the advantages of the two algorithms so that they had low computational time and provided optimal asymptotic solutions. The process was carried out by running the RRT algorithm several times to obtain several alternative suboptimal paths. Furthermore, the optimal solution was built using these suboptimal pathways, using the PRM-Djikstra path optimization algorithm. After the algorithm produced the final path, smoothing techniques using the Reed Sheep Planner algorithm employed to produce a smooth curved path. This study also compared the effect of using several variations of the RRT algorithm. With, tested algorithm in motion-planning problems of the nonholonomic vehicle. The results showed that our algorithm could produce higher quality output paths because the algorithm generated several sub-optimal paths and then combines them. Keywords: Autonomous vehicles, Djikstra, Local path planning, Probabilistic roadmap method, Rapidly-exploring random trees.

Nama Jurnal

Jurnal of Engineering Science and Technology (JESTEC)
Volume 0 Nomor -

URL

http://jestec.taylors.edu.my/Special%20Issue%20INCITEST2019/INCITEST2019_08.pdf

DOI

Study Of Multiple Seasonal Autoregressive Integrated Moving Average Subsequences Aggregate Long-Term Time Series Model For Flood Prediction Based On The Seasonal Rainfall Data In Indonesia

Author

Irfan Dwiguna Sumitra, S.Kom., M.Kom. Ph.D

Abstrak

-

Nama Jurnal

Journal of Engineering Science and Technology
Volume 0 Nomor -

URL

http://jestec.taylors.edu.my/Special%20Issue%20INCITEST2019/INCITEST2019_09.pdf

DOI

Data Visualization For Education Domain At Dinas Pendidikan Jawa Barat

Author

Dian Dharmayanti, S.T, M.Kom Adam Mukharil Bachtiar, S.Kom., M.T., Ph.D Dr. Yusrila Y Kerlooza, S.Si, M.T

Abstrak

The purpose of this research is to make a proper visualization which can be used in West Java Provincial Education Board to look education equity level in the West Java Province. This research is to help the Planning and Reporting Sub Division understand the case of education equity. Based on the results of interviews to one of the employees in the sub division, there were problems such as receiving information from the visualization used today were not as expected. It happened because the information does not support education equity. There are several methods used to produce the right form of information including statistics, data mining, and the application of data visualization rules. After designing and refining the existing visualization, the outcome is implemented in website-based prototypes. The results of prototypes were efficient and effective, it was tested by Usability Testing. The result of usability testing reached 95.45%, which means that the design used has achieved a minimum goal. From these results, prototypes of data visualization can help the sub division to understand information about education equity.