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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal of Economics and Management Scienties
Khairani Saladin
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Social Sciences

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Rekomendasi Destinasi Wisata Terbaik di Sumatera Barat dengan Pendekatan SWARA-SAW Feriantano Sundang Pranata; Khairani Saladin
Journal of Economics and Management Scienties Volume 7 No. 1, December 2024
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v7i1.74

Abstract

Pemilihan destinasi wisata terbaik merupakan proses penting dalam sektor pariwisata untuk membantu wisatawan memilih destinasi yang sesuai dengan preferensi dan kebutuhan mereka. Namun, pemilihan ini menghadapi beberapa kendala, seperti banyaknya kriteria yang perlu dipertimbangkan, subjektivitas penilaian, dan keterbatasan dalam menetapkan bobot yang tepat untuk setiap kriteria. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan mengombinasikan metode Step-wise Weight Assessment Ratio Analysis (SWARA) dan Simple Additive Weighting (SAW) untuk memberikan rekomendasi destinasi wisata terbaik di Sumatera Barat. Metode SWARA digunakan untuk menentukan bobot setiap kriteria berdasarkan penilaian ahli, sedangkan metode SAW digunakan untuk menghitung nilai preferensi dan pemeringkatan destinasi wisata. Penelitian ini menggunakan lima kriteria, yaitu aksesibilitas, sarana dan prasarana, kebersihan, keramahan, dan tarif wisata, serta 18 alternatif berupa destinasi wisata di Sumatera Barat. Hasil perangkingan menunjukkan bahwa Pantai Air Manis berada di peringkat pertama dengan nilai 0.980878187, diikuti oleh Pulau Cubadak dengan nilai 0.92266289 dan Pasumpahan, Pulau Sirandah, Pulau Carocok, Pulau Angso Duo, dan Pulau Pamutusan memiliki nilai preferensi yang sama, yaitu 0.909915014.
REAL-TIME VIDEO-BASED VISITOR COUNTING FOR SMART TOURISM DESTINATIONS USING YOLOV11 AND BYTETRACK Feriantano Sundang Pranata; Arif Adrian; Khairani Saladin
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.7759

Abstract

Accurate and real-time visitor data are needed to support smart tourism management. However, conventional counting methods still have limitations in dynamic outdoor tourism environments. This study develops and evaluates a real-time video-based visitor counting system by integrating YOLOv11 for person detection and ByteTrack for multi-object tracking. This approach extends visitor counting evaluation to uncontrolled open-air tourist destinations, where lighting variation, background complexity, visitor movement, and crowd density may affect detection and tracking performance. The system was evaluated using nine Full HD videos from five tourist destinations in West Sumatra, recorded under daylight and afternoon conditions with low to medium visitor densities. The YOLOv11–ByteTrack system achieved an average counting accuracy of 84.02%, MAE of 7.22 visitors per video, MAPE of 15.98%, and an average processing speed of 36.23 FPS. The average accuracy exceeded those of YOLOv3 and YOLOv8, which achieved 75.71% and 77.15%, respectively. These findings suggest that YOLOv11–ByteTrack has practical potential as a real-time visitor counting approach in smart tourism management, particularly for monitoring visitor flows, assessing site capacity, controlling visitor density, and supporting data-driven infrastructure planning.
Co-Authors Arif Adrian Feriantano Sundang Pranata