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Perancangan Robot Maze Solving Berbasis Arduino Rahmad Doni; Muhammad Reza Fahlevi; Elvin Syahrin
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.242

Abstract

The maze solving robot is the development of the line follower robot. Where the robot can trace a path that has an intersection, in tracing a maze, apart from finding a way out / finish, it will be more efficient if the robot can find a shorter path through the maze. From the maze samples made, the robot can explore a maze and find the shortest path. When the mapping process is carried out, the robot traces 12 path codes; after the path simplification process is carried out, the robot can shorten the path it takes to 6.
Perancangan Robot Maze Solving Berbasis Arduino Rahmad Doni; Muhammad Reza Fahlevi; Elvin Syahrin
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.242

Abstract

The maze solving robot is the development of the line follower robot. Where the robot can trace a path that has an intersection, in tracing a maze, apart from finding a way out / finish, it will be more efficient if the robot can find a shorter path through the maze. From the maze samples made, the robot can explore a maze and find the shortest path. When the mapping process is carried out, the robot traces 12 path codes; after the path simplification process is carried out, the robot can shorten the path it takes to 6.
Pemodelan Penjualan Produk Herbal Menggunakan Metode Monte Carlo Elvin Syahrin; Julius Santony; Jufriadif Na’am
Jurnal KomtekInfo Vol. 5 No. 3 (2018): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.438 KB) | DOI: 10.35134/komtekinfo.v5i3.29

Abstract

Sales are a source of life for a company. Predicting the number of sales is important in analyzing the development of sales. Analysis of sales development is an important factor in increasing sales. Using the Monte Carlo method can predict the accuracy of the data items in the company. The results of this study on data processing in 2016 until 2017 have an accuracy of 97%. So this research is very precise in predicting sales for the future