Hadi, Dony Kusuma (2026) Manajemen Penjadwalan Perkuliahan Berbasis Cloud Dengan Integrasi Google Workspace Dan Whatsapp. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sistem penjadwalan perkuliahan tradisional seringkali tidak efisien, rentan konflik antar jadwal, dan membutuhkan waktu lebih dalam distribusi beban mengajar. Penelitian ini telah mengembangkan sistem penjadwalan otomatis berbasis cloud yang mengintegrasikan Google Workspace dan WhatsApp untuk mengatasi kompleksitas penjadwalan multi-level (sarjana, magister, doktor) di lingkungan pendidikan tinggi. Sistem ini menggabungkan pendekatan constraint-based validation dengan algoritma heuristic untuk deteksi konflik real-time dan distribusi beban satuan kredit semester (SKS) secara merata. Implementasi pada 120 mata kuliah (termasuk kelas paralel), 11 ruangan, dan 26 dosen menunjukkan bahwa sistem mampu menghasilkan jadwal ± 17 detik, dengan waktu respons validasi rata-rata 1,2 detik per perubahan data di cell, serta berhasil mengirimkan notifikasi beban mengajar kepada 100% dosen melalui WhatsApp dan email. Sistem ini meningkatkan efisiensi administratif sekaligus memperkuat akuntabilitas manajemen sumber daya akademik.
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Traditional course scheduling systems are often inefficient, prone to scheduling conflicts, and require significant time for teaching load distribution. This research has developed an automated cloud-based scheduling system integrating Google Workspace and WhatsApp to address the complexity of multi-level scheduling (undergraduate, master’s, and doctoral) in higher education environments. The system combines a constraint-based validation approach with heuristic algorithms for real-time conflict detection and equitable Semester Credit Unit (SKS) distribution. Implementation involving 120 courses (including parallel classes), 11 classrooms, and 26 lecturers demonstrates that the system can generate a schedule in approximately 17 seconds, with an average validation response time of 1.2 seconds per cell data change. Furthermore, it successfully delivered teaching load notifications to 100% of lecturers via WhatsApp and email. This system enhances administrative efficiency while strengthening the accountability of academic resource management.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Beban SKS, Google App Script, Greedy Algorithm + Local Search, Penjadwalan, WhatsApp |
| Subjects: | T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T57.84 Heuristic algorithms. T Technology > T Technology (General) > T58.5 Information technology. IT--Auditing T Technology > T Technology (General) > T58.6 Management information systems T Technology > T Technology (General) > T58.62 Decision support systems |
| Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT) |
| Depositing User: | Dony Kusuma Hadi |
| Date Deposited: | 17 Jul 2026 03:49 |
| Last Modified: | 17 Jul 2026 03:49 |
| URI: | http://repository.its.ac.id/id/eprint/135161 |
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