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Journal : Jurnal Transformatika

AKSI UNIASIAH (Blood Transfusion Unit) Based on Android With Waterfall Apriliasari, Betty; Utami, Nur Sri; lidia, Lidia; Abdullah, Asrul
Jurnal Transformatika Vol. 17 No. 1 (2019): July 2019
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i1.1410

Abstract

Teknologi informasi merupakan salah satu teknologi yang sedang berkembang dengan pesat pada saat ini, sehingga informasi yang tersedia dapat berlangsung dengan cepat, efisien serta akurat. Pada Unit Transfusi Darah PMI ini sangat minim pelayanan informasi mengenai ketersediaan darah melalui mobile device sehingga banyak masyarakat yang kurang informasi mengenai persedian darah. Maka perlu ditemukan cara memecahkan masalah yang ada dengan menyediakan sebuah aplikasi berbasis android yang dapat diakses oleh masyarakat. Metode yang digunakan untuk membangun sistem ini menggunakan metode waterfall dan divisualisasikan dengan use case diagram. Hasil dari penelitian ini adalah aplikasi donor darah yang mampu menyediakan data stok darah, jadwal kegiatan donor dan lokasi, serta informasi donor darah.
Sistem Pendukung Keputusan Untuk Rekomendasi Topik Skripsi Dengan Metode Fuzzy AHP Abdullah, Asrul; Sucipto, Sucipto
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2708

Abstract

The ability to produce a scientific work both journals, scientific articles and thesis is needed to support the competence of undergraduate students in a university. The existence of a thesis course in a number of universities is one of the efforts to train students in producing a scientific work. To arrive at the stage of making a thesis, a student must first study various kinds of courses in each study program. Choosing a thesis topic is one of the most difficult stages in the preparation of a thesis. This is because there are still many students who do not understand and know their interest and ability in one of the courses which will later be used as a topic in thesis preparation. The focus of this research is a decision support system that is able to answer student problems in determining thesis topics according to their abilities. The method used is a waterfall within the SDLC (system development life cycle) framework starting from system requirement, data collection, design, implementation, testing, and maintenance. The result of this research is the ability of the decision support system to provide recommendations for thesis topics according to the abilities of students. The greatest weight is for A5 students for Computer Networking interest of 1,410 while the smallest weight is for A4 students for Multimedia interest of 0.080.