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All Journal CALYPTRA : Jurnal Ilmiah Mahasiswa Universitas Surabaya Jurnal Infra Jurnal Strategi Pemasaran Jurnal Abdi Insani SCRIPTA SCORE Scientific Medical Journal Jurnal Analogi Hukum
Andy Gunawan
Informatics Department,PCU
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology

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Journal : Jurnal Infra

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PEMBUATAN APLIKASI PEMBELAJARAN FISIKA LISTRIK DINAMIS UNTUK SMA KELAS X BERBASIS ANDROID Gunawan, Andy; Andjarwirawan, Justinus; Gunawan, Ibnu
Jurnal Infra Vol 2, No 2 (2014)
Publisher : Jurnal Infra

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Abstract

Teknologi terus berkembang dari tahun ke tahun. Salah satu teknologi tersebut adalah Android yang berkembang sejak 5 November 2007 sampai sekarang. Adanya mobile device berbasis Android yang dapat membantu setiap siswa dalam bidang pendidikan. Namun di dunia SMA, banyak siswa yang mengalami kesulitan dalam belajar materi fisika khususnya pembelajaran listrik dinamis yang cukup membingungkan.Adanya Android sekarang ini, dirancang sebuah aplikasi untuk membantu siswa dalam belajar. Aplikasi ini berisi materi-materi listrik dinamis yang membantu siswa dalam belajar. Aplikasi juga memberikan latihan soal yang membantu siswa dalam pemahaman pembelajaran listrik dinamis.Berdasarkan hasil pengujian, aplikasi ini dapat menjalankan fungsi download untuk update, menampilkan materi listrik dinamis, soal pilihan, soal multi, serta fungsi lain yang telah disebutkan. Aplikasi ini membutuhkan internet yang stabil agar proses download dan load gambar dapat berjalan dengan baik.
Penerapan Adaptive Neuro Fuzzy Inference System pada Real Time Strategy Battle Arena Game Gunawan, Andy; Intan, Rolly; Purba, Kristo Radion
Jurnal Infra Vol 6, No 2 (2018)
Publisher : Jurnal Infra

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Abstract

Nowadays, Real Time Strategy Battle Arena is one of the most popular game genre. However, most games with that genre are only interesting if played together with another human. That makes those games less flexible since they can’t be played without another human or internet connection. Because of that, this thesis will create a game with Real Time Strategy Battle Arena genre with AI as the enemy where the enemy movements can be adjusted to approach human thinking ways. The enemy in this game will also be able to learn from each mistake. This thesis will use the method Adaptive Neuro Fuzzy Inference System. Test results show that the enemy was able to choose the best move possible, which suits the way humans think using Fuzzy Inference System. Neural System also modified the Membership  Functions of some Fuzzy Inference System input variable everytime the enemy is considered to make mistake to minimize similar mistakes when the game is played again in the future.
Co-Authors Arlina Hidayati, Arlina Cahya, Ghina Olivia Harahap, Feby Yanti I Wayan Arthana Ibnu Gunawan Juara, Anggarda Patra Justinus Andjarwirawan Kristo Radion Purba Mutmainnah Mutmainnah Payung, Elisabeth Lista Putu Suryani . Rolly Intan Situmorang, Grecia Febriana Yayan Saputra, Yayan