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Jurnal Transformatika
Published by Universitas Semarang
ISSN : 16933656     EISSN : 24606731     DOI : -
Core Subject : Science,
Computer Science & IT
Transformatika is a peer reviewed Journal in Indonesian and English published two issues per year (January and July). The aim of Transformatika is to publish high-quality articles of the latest developments in the field of Information Technology. We accept the article with the scope of Information Systems, Web Technology, Computer Networks, Artificial Intelligence, and Multimedia.
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Articles 12 Documents
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Search results for , issue "Vol. 17 No. 2 (2020): January 2020" : 12 Documents clear
Aplikasi Pembelajaran English Grammar Berbasis Game Android Bellaniar Ismiati, Maria; Hermawan, Latius; Widiastuti R., Paskalina
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1703

Abstract

Learning English in class is often carried out in a conventional way such as explaining using a whiteboard, doing practice exercises with pen and paper, and memorizing material from a book / dictionary. Such conventional teaching and learning processes often make students bored and feel the material presented is difficult to understand. One way that can be used to overcome this problem is to create a tool that uses technology, such as games.Gra-Pe Warrior game which has an adventure game concept with penguins as the main character where each level of the player must answer questions about grammar.   Gra-Pe Warrior game has become a new learning that further increases motivation in learning. This is evidenced by the results of a descriptive questionnaire test which shows that> 90% of respondents are interested because learning in the form of games is more interesting because it is equipped with several questions about grammar at each door when leveling up.  
Penataan Ruang Kawasan Agropolitan di Kabupaten Semarang dengan Metode Artificial Neural Network priyadi, priyadi; Sediyono, Eko; Prasetyo, Sri Yulianto Joko
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1615

Abstract

Kecamatan Bandungan dan Sumonowo merupakan wilayah di Kabupaten Semarang yang ditetapkan sebagai kawasan Agropolitan. Dalam beberapa survei dan penelitian di kawasan yang memiliki kesamaan administratif dan geografis tersebut menunjukan tren perubahan produktifitas pertanian akibat pembangunan. Pendekatan sistem informasi geografis digunakan dalam penelitian ini dengan alasan untuk bisa menganalisis objek spasial secara menyeluruh pada kawasan terkait. Penelitian ini berusaha memetakan penataan ruang secara objektif dengan metode Artificial Neural Network. Dimana hubungan antar objek spasial dikalkulasikan potensi perubahannya pada dua data spasial yang berbeda   tempo. Hasilnya didapatkan bahwa simulasi objektif dengan metode ANN terhadap data spasial hasil klasifikasi menggunakan metode minimum distance diperoleh min validation error 0,0656. Hasil validasinya juga cukup baik, yaitu memperoleh prosentasi kebenaran 85,3% dan index kappa 0.80. Peta simulasi dihasilkan sampai pada tempo 2021. Dari peta simulasi didapatkan pengetahuan bahwa sistem pertanian terbuka akan terus mengalami pertumbuhan luasan secara positif dengan kisaran 0,015%. Adapun sistem pertanian tertutup akan terus mengalami penyusutan luasan pada kisaran 0,01%. Pengetahuan ini bisa menjadi alternaif solusi dalam mempertimbangkan implementasi rencana tata ruang dan wilayah pada kawasan terkait.

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