Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal INTECOMS: Journal of Information Technology and Computer Science Visioner : Jurnal Manajemen dan Bisnis
Anggraini, Melly
Unknown Affiliation
Computer Science & IT Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PENGARUH KOMPENSASI MOTIVASI DAN KOMPETENSI TERHADAP  KEPUASAN KERJA BERDASARKAN PERSEPSI KARYAWAN  PT DAVIDI INTERNASIONAL DI BALIKPAPAN : THE INFLUENCE OF MOTIVATION COMPENSATION AND COMPETENCE ON JOB SATISFACTION BASED ON THE PERCEPTIONS OF EMPLOYEESPT DAVIDI INTERNATIONAL IN BALIKPAPAN Nainggolan, Hermin; Anggraini, Melly
Visioner : Jurnal Manajemen dan Bisnis Vol 13 No 01 (2024): Visioner: Jurnal Manajemen dan Bisnis (April 2024)
Publisher : Sekolah Tinggi Ilmu Ekonomi Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52630/jmbv.v13.i01.8

Abstract

This study aims to determine the effect of compensation, motivation and competence on job satisfaction based on the perceptions of employees of PT Davidi Internasional in Balikpapan, either partially or simultaneously. The number of samples is 65 respondents. Data collection was carried out using primary data by distributing questionnaires directly to respondents. Data were analyzed by validity and reliability tests as well as multiple linear analysis, F test (simultaneous), t test (partial) and classical assumptions. The results showed that it was simultaneously proven that the variables of compensation, notivation and competence had a positive and significant effect on job satisfaction based on the perceptions of employees of PT Davidi Internasional in Balikpapan Partially the compensation variable (XI) had a positive and significant effect on job satisfaction (Y), partially the variable motivation (X2) has a positive and significant effect on job satisfaction (Y), partially the compensation variable (X3) has a negative and insignificant effect on job satisfaction (Y) at PT Davidi Internasional in Balikpapan. 
SISTEM MONITORING DAN ESTIMASI LAMA WAKTU KUNJUNGAN PELANGGAN MENGGUNAKAN ALGORITMA YOLO BERBASIS DEEP LEARNING (STUDI KASUS: JARAK COFFEE & EATERY) Anggraini, Melly; Lusiana, Veronica
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 2 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/1jt60018

Abstract

Perkembangan teknologi Artificial Intelligence (AI) dan Computer Vision telah memberikan dampak signifikan terhadap sistem monitoring. Penelitian ini mengembangkan sistem monitoring dan estimasi lama waktu kunjungan pelanggan menggunakan algoritma YOLO berbasis deep learning di Jarak Coffee & Eatery. Permasalahan utama adalah kurangnya efektivitas metode monitoring manual dalam mengelola data kunjungan pelanggan yang menyebabkan kesulitan mendapatkan informasi akurat mengenai durasi kunjungan. Tujuan penelitian ini adalah mengimplementasikan algoritma YOLO untuk mendeteksi dan melacak pelanggan secara real-time serta mengembangkan sistem yang mampu menghitung durasi kunjungan secara otomatis. Menggunakan metode Waterfall dengan tahapan analisis kebutuhan, perancangan sistem, implementasi menggunakan YOLOv11 dan BoT-SORT, serta pengujian. Hasil model YOLOv11 mencapai performa sangat baik dengan mAP@0.5 sebesar 96,5%, precision 93,4%, dan recall 93,4%, serta mampu menghitung durasi kunjungan dengan threshold minimal 30 detik untuk memfilter false positive. Sistem menghasilkan output visualisasi real-time dan log CSV yang dapat digunakan untuk analisis durasi kunjungan dan optimalisasi operasional. Kata Kunci: Algoritma YOLO, Deep Learning, Computer Vision, Object Detection, Durasi Kunjungan Pelanggan
Co-Authors Nainggolan, Hermin Veronica Lusiana