Pengembangan Sistem Manajemen Studi Mahasiswa

Annaafi', Raditya Yusuf and Putra, Ignatius Devon Andri and Ramadhan, Rachmat and Hafizhuddin, Daffa Rafif (2026) Pengembangan Sistem Manajemen Studi Mahasiswa. Project Report. [s.n.], [s.l.]. (Unpublished)

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Abstract

Banyak mahasiswa menghadapi tantangan akademik yang berpotensi menyebabkan keterlambatan kelulusan hingga risiko putus studi (drop out). Namun, program studi sering kali kesulitan mengidentifikasi mahasiswa berisiko tersebut secara dini karena keterbatasan alat analisis data yang terintegrasi. Penelitian ini bertujuan membangun platform "Sistem Manajemen Risiko Studi Mahasiswa" sebagai Decision Support System (DSS) untuk mendukung pengambilan keputusan akademik proaktif. Sistem ini dikembangkan menggunakan framework Laravel, Blade templating, dan basis data MySQL. Algoritma klasifikasi risiko yang diimplementasikan berbasis pada adaptasi konsep Critical Ratio (perbandingan sisa SKS dengan sisa semester aktif) yang dikombinasikan dengan pembagian nilai desil relatif per angkatan. Platform ini menyediakan tiga antarmuka terintegrasi: Dashboard Mahasiswa untuk pemantauan mandiri, Dashboard Dosen Wali untuk pencatatan log intervensi bimbingan, dan Dashboard Kepala Program Studi untuk pemantauan distribusi risiko strategis tingkat prodi. Pengujian fungsional sistem dilakukan menggunakan metode Black Box Testing pada seluruh modul utama. Hasil pengujian menunjukkan bahwa semua fitur fungsional berhasil berjalan sesuai skenario dengan tingkat keberhasilan (pass rate) sebesar 100% dari total 17 test case. Kesimpulannya, sistem ini berhasil menyajikan klasifikasi risiko studi yang kontekstual, transparan, dan adil, sehingga mampu memfasilitasi deteksi dini serta tindakan intervensi pembinaan yang lebih terarah guna meminimalkan angka drop out mahasiswa.
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Many university students face academic challenges that may lead to delayed graduation or even student attrition (dropout). However, study programs often encounter difficulties in identifying at-risk students at an early stage due to the lack of integrated data analysis tools. This research aims to develop the Student Academic Risk Management System, a Decision Support System (DSS) designed to support proactive academic decision-making.
The system was developed using the Laravel framework, the Blade templating engine, and a MySQL database. The implemented risk classification algorithm is based on an adaptation of the Critical Ratio concept, defined as the ratio between the remaining credit units required for graduation and the remaining active semesters, combined with relative decile-based grouping within each student cohort. The platform provides three integrated interfaces: a Student Dashboard for self-monitoring, an Academic Advisor Dashboard for recording academic guidance intervention logs, and a Head of Study Program Dashboard for monitoring the strategic distribution of academic risk across the study program. Functional testing was conducted using the Black Box Testing method on all core system modules. The results indicate that all functional features performed as expected, achieving a 100% pass rate across 17 test cases. In conclusion, the proposed system successfully provides a contextual, transparent, and equitable academic risk classification mechanism, thereby facilitating early identification of at-risk students and enabling more targeted academic interventions to minimize student dropout rates.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Decision Support System (DSS), Manajemen Risiko Studi, Critical Ratio, Academic Risk Management
Subjects:	T Technology > T Technology (General) > T58.62 Decision support systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Raditya Yusuf
Date Deposited:	29 Jun 2026 02:22
Last Modified:	29 Jun 2026 02:22
URI:	http://repository.its.ac.id/id/eprint/134120

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