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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Muhatri, M
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

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Media Pembelajaran Stocklab Berbasis Multimedia Muhatri, M
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.v4i2.244

Abstract

This study aims to develop multimedia-based learning media for StockLab; StockLab games are generally played by 3 to 5 people. This game is often played by students at the Faculty of Economics and Business as a simulation medium in building stocks where the card introduces investment, stocks, and the capital market. Stockland is a game using card media such as playing, domino or Uno with game instructions such as players must compete with each other to develop assets by investing in various sectors of stocks and mutual funds, and can take various actions optimally to become an investor with the most coins at the end of the game.
Media Pembelajaran Stocklab Berbasis Multimedia Muhatri, M
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.v4i2.244

Abstract

This study aims to develop multimedia-based learning media for StockLab; StockLab games are generally played by 3 to 5 people. This game is often played by students at the Faculty of Economics and Business as a simulation medium in building stocks where the card introduces investment, stocks, and the capital market. Stockland is a game using card media such as playing, domino or Uno with game instructions such as players must compete with each other to develop assets by investing in various sectors of stocks and mutual funds, and can take various actions optimally to become an investor with the most coins at the end of the game.
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