SUGIANTORO, ZULLVAN (2026) PENGEMBANGAN TEKNIK VERIFIKASI KEASLIAN TITIK KOORDINAT PRESENSI DALAM SISTEM INFORMASI KEPEGAWAIAN MAHKAMAH AGUNG DENGAN MENINGKATKAN MODEL ISOLATION FOREST MENGGUNAKAN THRESHOLD-BASED FILTERING DAN LONG SHORT-TERM MEMORY (LSTM). S2 thesis, Universitas Mercu Buana Jakarta - Menteng.
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Abstract
Presensi berbasis GPS pada Sistem Informasi Kepegawaian Mahkamah Agung (SIKEP) rentan terhadap manipulasi lokasi, seperti penggunaan aplikasi fake GPS. Oleh karena itu, diperlukan mekanisme verifikasi yang mampu menilai kewajaran titik koordinat dan lintasan secara lebih andal, serta dapat diaudit secara transparan. Penelitian ini membangun simulasi sistem verifikasi keaslian titik koordinat presensi dengan pendekatan hibrida yang menggabungkan Threshold-Based Filtering sebagai guardrail berbasis aturan jarak, Isolation Forest untuk deteksi outlier pada fitur hasil thresholding, dan Long Short-Term Memory (LSTM) untuk menganalisis pola temporal atau sekuens lintasan. Keputusan akhir ditetapkan melalui fusi keputusan untuk menghasilkan label normal/anomali. Pengujian menunjukkan kombinasi Threshold-Based Filtering, Isolation Forest, dan LSTM mampu mendeteksi titik koordinat tidak valid secara akurat dengan capaian akurasi 99,74%, presisi 99,49%, recall 100%, dan F1-score 99,74%. Hasil ini menunjukkan kinerja model hibrida lebih unggul dibandingkan penggunaan masing-masing komponen model secara terpisah. GPS-based attendance in the Supreme Court’s Personnel Information System (SIKEP) is vulnerable to location manipulation, such as the use of fake GPS applications. Therefore, a verification mechanism is needed to more reliably assess the plausibility of coordinate points and trajectories, in a manner that is transparently auditable. This study develops a simulated system to verify the authenticity of attendance coordinate points using a hybrid approach that combines Threshold-Based Filtering as a distance rule-based guardrail, Isolation Forest for outlier detection on threshold-derived features, and Long Short-Term Memory (LSTM) to analyze temporal or sequential trajectory patterns. The final decision is determined through decision fusion to produce normal/anomalous labels. Experimental results show that the combination of Threshold-Based Filtering, Isolation Forest, and LSTM accurately detects invalid coordinate points, achieving 99.74% accuracy, 99.49% precision, 100% recall, and a 99.74% F1-score. These findings indicate that the hybrid model outperforms each individual component when used separately.
| Item Type: | Thesis (S2) |
|---|---|
| NIM/NIDN Creators: | 55423120006 |
| Uncontrolled Keywords: | Presensi Berbasis Lokasi, GPS Spoofing, Threshold-Based Filtering, Isolation Forest, LSTM. Location-Based Attendance, GPS Spoofing, Threshold-Based Filtering, Isolation Forest, LSTM. |
| Subjects: | 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan > 621.3 Electrical Engineering, Lighting, Superconductivity, Magnetic Engineering, Applied Optics, Paraphotic Technology, Electronics Communications Engineering, Computers/Teknik Elektro, Pencahayaan, Superkonduktivitas, Teknik Magnetik, Optik Terapan, Tekn |
| Divisions: | Pascasarjana > Magister Teknik Elektro |
| Depositing User: | ZAIRA ELVISIA |
| Date Deposited: | 25 Feb 2026 01:23 |
| Last Modified: | 25 Feb 2026 01:23 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/101130 |
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