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  • Capaian Pembelajaran Magister Kecerdasan Artifisial

Capaian Pembelajaran Magister Kecerdasan Artifisial

  • 12 April 2022, 03.44
  • Oleh: admin
  • 0

Untuk mendapatkan profil lulusan seperti di atas, ditetapkan capaian pembelajaran (Program Learning Outcome, PLO) dari Program Studi Magister Kecerdasan Artifisial. Capaian pembelajaran program studi terdiri dari empat unsur, yaitu (1) Sikap dan Tata Nilai, (2) Penguasaan Pengetahuan, (3) Kemampuan Kerja, dan (4) Kemampuan Manajerial. Capaian pembelajaran program studi telah disetarakan dengan level 8 pada KKNI. 

Detail Capaian Pembelajaran Lulusan 

Berikut penjelasan detail masing-masing unsur capaian pembelajaran. 

Sikap dan Tatap Nilai 

[PLO1] SIKAP DAN TATA NILAI (ATTITUDES AND VALUES) 

Lulusan memiliki sikap dan nilai-nilai sebagai berikut: 

  1. Bertakwa kepada Tuhan Yang Maha Esa. 
  2. Memiliki moral, etika dan kepribadian yang baik dalam menyelesaikan tugasnya. 
  3. Berperan sebagai warga negara yang bangga dan cinta tanah air, memiliki nasionalisme serta rasa tanggungjawab pada negara dan bangsa. 
  4. Menghargai keanekaragaman budaya, pandangan, agama, dan kepercayaan, serta pendapat atau temuan orisinal orang lain. 
  5. Memiliki semangat gotong royong, kepekaan sosial serta kepedulian terhadap masyarakat dan lingkungan. 
  6. Taat hukum dan disiplin dalam kehidupan bermasyarakat dan bernegara. 

Penguasaan Pengetahuan 

[PLO2] PENGETAHUAN DASAR DAN TEORITIS (FOUNDATIONAL & THEORITICAL KNOWLEDGE): 

Lulusan menguasai fondasi pengetahuan, pengetahuan, prinsip, pemahaman dasar dan konsep teoritis untuk Kecerdasan Artifisial berupa konsep, metode, model dan algoritma Kecerdasan Artifisial 

[PLO3] PENGETAHUAN TERAPAN (APPLIED KNOWLEDGE) 

Lulusan menguasai pengetahuan dan konsep terapan dalam bidang Kecerdasan Artifisial yaitu pembelajaran mesin, pengelolaan pengetahuan, penalaran komputer, pengenalan pola, dan pemrosesan bahasa alami, serta merepresentasikannya secara terstruktur dan sistematis. 

Kemampuan Kerja 

[PLO4] KETERAMPILAN PENYELESAIAN MASALAH (PROBLEM SOLVING SKILL) 

Lulusan mahir mendesain dan mengembangkan prinsip, pengetahuan dasar, teoritis, dan terapan Kecerdasan Artifisial yang telah diperoleh, serta mampu merumuskan permasalahan penelitian melalui kajian kritis dan eksploratif, melaksanakan studi literatur dan melaksanakan penelitian baik mandiri maupun berkelompok di bidang Kecerdasan Artifisial sehingga menghasilkan karya yang inovatif dan teruji. 

Kemampuan Manajerial 

[PLO5] SIKAP PROFESIONALISME (PROFESSIONAL ATTITUDE) 

Lulusan memiliki sikap profesional yang meliputi kemampuan bekerja secara mandiri maupun secara berkelompok, kepemimpinan, rasa tanggung jawab, komunikasi yang efektif baik secara lisan maupun tulisan, dan keterampilan untuk mengikuti perkembangan bidang kecerdasan artifisial dalam rangka pembelajaran sepanjang hayat. 

Keterkaitan Capaian Pembelajaran dengan Taksonomi Bloom 

Capaian pembelajaran Program Studi Magister Ilmu Komputer mengikuti domain pembelajaran berdasarkan Taksonomi Bloom yang meliputi Knowledge, Attitude, dan Skills. Hubungan antara masing-masing capaian pembelajaran dengan domain pembelajaran disajikan pada Tabel.

Capaian PembelajaranKomponen AspekKognitif (Knowledge)Afektif (Attitude)Psikomotorik (Skills)
PLO1Sikap dan Tata Nilai✔
PLO2Pengetahuan Dasar dan Teoritis✔
PLO3Pengetahuan Terapan✔✔
PLO4Keterampilan Penyelesaian Masalah✔✔
PLO5Sikap Profesionalisme✔✔✔

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Universitas Gadjah Mada

Departemen Ilmu Komputer dan Elektronika

Fakultas Matematika dan Ilmu Pengetahuan Alam

Universitas Gadjah Mada

Gedung C, Lantai 4

Sekip Utara Bulaksumur Yogyakarta 55281

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