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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)
Ahmad Latif Qosim
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Computer Science & IT

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SWOT Analysis Untuk Pengembangan Strategy Program Studi Menuju Kelas Dunia Aziz, Okta Qomaruddin; Fatchurrohman, Fatchurrohman; Wahyu Prakasa, Johan Ericka; S, Puspa Miladin; Qosim, Ahmad Latif; Atmalia, Citra Fidya; Crysdian, Cahyo
MATICS Vol 13, No 1 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i1.10896

Abstract

Teknologi informasi merupakan salah satu bidang yang berkembang pesat di zaman sekarang. Fenomena ini diperkirakan akan terus berlangsung dalam jangka yang sangat panjang. Kualitas program studi tentunya harus mengikuti perkembangan teknologi informasi tersebut. Oleh karena itu perlu dilakukan pendekatan yang komprehensif dalam mengembangkan program studi berdasarkan kondisi yang ada pada program studi tersebut. Penelitian ini akan membahas strategi pengembangan program studi berdasarkan analisis SWOT dan ranking prioritas pada jurusan TI UIN Maulana Malik Ibrahim Malang.
Phrase Based and Neural Network Translation for Text Transliteration from Arabic to Indonesia Alvian Burhanuddin; Ahmad Latif Qosim; Rizqi Amaliya
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.13853

Abstract

Abstract- Transliteration is one solution to overcome the inability to read and write Arabic in Indonesia. However, this transliteration has many different versions in reality. The many differences in transliteration versions make it difficult for people to understand and pronounce the Arabic sentence. So there needs to be an approach to overcome the problem of these differences. The data mining approach can be used as an option to reduce these differences. In this study, the researcher found that automatic transliteration based on the data mining model had a reasonably good BLEU value.
Co-Authors Alvian Burhanuddin Atmalia, Citra Fidya Cahyo Crysdian Fatchurrohman Fatchurrohman, Fatchurrohman Johan Ericka Wahyu Prakasa Okta Qomaruddin Aziz Rizqi Amaliya S, Puspa Miladin