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All Journal Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Teknologi : Jurnal Ilmiah Sistem Informasi
Al Farisi, Riswanda
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Computer Science & IT

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Implementasi Sistem Informasi Akademik Pengelolaan Tugas Akhir Berbasis Laravel dan Filament Al Farisi, Riswanda; Ramadhan Zayn, Afta; Agung Nugroho, Benni; Heriadi, Agustono
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 3 (2025): EDISI MEI 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i3.10989

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem informasi akademik yang mendukung keseluruhan proses pengelolaan tugas akhir pada Program Studi Manajemen Informatika, Politeknik Negeri Malang, PSDKU Kediri. Sistem ini dibangun menggunakan framework Laravel dengan dukungan Filament untuk mempercepat pengelolaan data dan antarmuka administrasi, serta database MySQL. Fitur yang dikembangkan mencakup pengajuan judul proposal tugas akhir oleh mahasiswa, proses plotting dosen pembimbing, pendaftaran ujian tugas akhir, penjadwalan ujian, hingga pengisian dan pengelolaan nilai tugas akhir. Sistem dirancang untuk meningkatkan efisiensi, transparansi, dan akurasi dalam setiap tahapan administrasi tugas akhir. Pengujian sistem dilakukan menggunakan metode black box testing, dengan fokus pada pengujian fungsionalitas berdasarkan kebutuhan pengguna tanpa memeriksa struktur internal program. Hasil pengujian menunjukkan bahwa seluruh fitur berjalan sesuai dengan spesifikasi yang ditentukan dan mendukung kelancaran proses administrasi tugas akhir. Dengan demikian, sistem informasi ini diharapkan dapat diimplementasikan untuk meningkatkan layanan akademik di lingkungan program studi.
Determination of Freshwater Fish Types for Cultivation Based on Water Quality Using Mamdani Fuzzy: Penentuan Jenis Ikan Air Tawar untuk Budidaya Berdasarkan Kualitas Air Menggunakan Fuzzy Mamdani Zayn, Afta Ramadhan; Al Farisi, Riswanda; Agung Nugroho, Benni; Heriadi, Agustono
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 15 No 2 (2025): July
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v15i2.5748

Abstract

Determining suitable fish species based on the available water quality in freshwater aquaculture is crucial. Selecting fish that are compatible with the existing water conditions can significantly influence their growth and survival, which in turn affects the overall harvest. Assessing water quality must therefore be done carefully and accurately, as each fish species has specific water requirements to reproduce and thrive optimally. In this study, a fuzzy logic approach using the Mamdani method was employed to assess the suitability of different freshwater fish species based on water quality conditions. The input parameters considered in the system include temperature, dissolved oxygen, and pH. Based on these parameters, the system categorizes the suitability of each fish species into three levels: suitable, moderately suitable, and less suitable for cultivation. The results of testing show that the system is capable of generating varying recommendations depending on the given water quality conditions. For instance, under conditions of 28°C temperature, 5 mg/L of dissolved oxygen, and pH 7, the system recommended catfish, pangasius, and eel as the most suitable species for cultivation. These recommendations can serve as a useful reference for aquaculture practitioners in selecting fish species that align with the environmental conditions of their farming locations.
Co-Authors Agung Nugroho, Benni Agustono Heriadi, Agustono Ramadhan Zayn, Afta Zayn, Afta Ramadhan