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Penelitian ini mengembangkan sistem absensi wajah berbasis web untuk menggantikan fingerprint yang menimbulkan kendala pada rekapitulasi dan kegagalan pendeteksian jari, berdampak pada proses operasional dan antrian. Pengembangan memakai metode Waterfall, Python, OpenCV, identifikasi biometrik, serta manajemen basis data MySQL, dengan evaluasi System Usability Scale (SUS). Skor SUS > 80,3 menunjukkan keberhasilan dari sisi usability.",{"@graph":63,"@context":119},[64,81,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/web-based-face-recognition-system-using-opencv-and-evaluation-with-the-system-usability-scale-method/230651/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/web-based-face-recognition-system-using-opencv-and-evaluation-with-the-system-usability-scale-method/230651.png","ImageObject",300,407,{"name":89,"@type":90},"Theodore","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-10-01","2026-09-10",true,{"@type":99,"interactionType":100,"userInteractionCount":77},"InteractionCounter",{"@type":101},"ViewAction",{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"Mengapa sistem absensi berbasis fingerprint perlu diganti pada Tabebuya?","Question",{"text":109,"@type":110},"Fingerprint mengalami masalah pada rekapitulasi absensi yang memengaruhi perhitungan gaji serta kegagalan pendeteksian jari yang berdampak pada kecepatan operasional dan antrian panjang.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"Bagaimana sistem face recognition berbasis web dirancang dalam penelitian ini?",{"text":114,"@type":110},"Sistem dikembangkan dengan metode Waterfall menggunakan Python dan pustaka OpenCV untuk memproses ciri wajah, melakukan identifikasi biometrik, serta mengelola data dengan MySQL.",{"name":116,"@type":107,"acceptedAnswer":117},"Bagaimana evaluasi sistem dilakukan dan apa hasilnya?",{"text":118,"@type":110},"Evaluasi menggunakan metode System Usability Scale (SUS) untuk memastikan sistem berfungsi sesuai ekspektasi pengguna. Hasil skor SUS > 80,3 menunjukkan sistem berhasil dari sisi usability.","https://schema.org",{"og:url":79,"og:type":121,"og:title":59,"og:site_name":92,"og:description":61},"article",{"robots":123,"canonical":79},"index,follow",{"doc_id":125,"site_id":56},230651,1789053000,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":89,"user_avatar":130,"doc_module":4,"category_id":30,"category_name":31,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":77,"is_deleted":4,"is_public":71,"is_downloadable":71,"audit_status":71,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":126,"read_time":141},7971461740886,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","Sistem Face Recognition Berbasis Web menggunakan OpenCV Serta Evaluasi dengan Metode System Usability Scale  \nVanessa Shinta Putri*, Gentur Wahyu Nyipto Wibowo, Ahmad Khanif Zen  \nFakultas Sains dan Teknologi, Teknik Informatika, Universitas Islam Nahdlatul Ulama, Jepara, Indonesia  \nEmail:1,*[vanessashinta127@email.com](vanessashinta127@email.com), [2](2gantur23@yahoo.com)[gantur23@yahoo.com](2gantur23@yahoo.com), [3](3khanif.zyen@unisnu.ac.id)[khanif.zyen@unisnu.ac.id](3khanif.zyen@unisnu.ac.id)  \n[Email Penulis Korespondensi: vanessashintaputri127@gmail.com](Email Penulis Korespondensi: vanessashintaputri127@gmail.com)  \nAbstrak􀀐Sistem absensi adalah salah satu aspek penting untuk Resort dan Resto Tabebuya untuk pengolahan SDM secara sistematis, sistem absensi dibutuhkan untuk menjadi dasar perhitungan gaji, evaluasi kedisiplinan, hingga penilaian kerja setiap karyawannya. Oleh karena itu, dibutuhkannya sistem absesni yang akurat, efesien, dan transparant agar produktivitas perusahaandapat terjaga dengan baik. Penelitian ini bertujuan untuk mengembangkan sistem absensi yang digunakan oleh Tabebuya yang semula fingerprint yang memiliki permasalahan pada rekapitulasi absensi yang berpengaruh pada gaji dan gagalnya pendeteksian jari yang memiliki pengaruh pada kecepatan operasional dan antrian panjang menjadi sistem absensi wajah atau face recognition berbasis web untuk memudahkan setiap karyawan dalam mengakses sistem absensi dengan perangkat masing-masing dengan limit titikkoordinat tertentu untuk menghindari gangguan operasional dan pemberian limit akses role untuk menghindari manipulasi absensi dan data gaji. Dalam pengembangan sistem ini metode pengembangan perangkat lunak menggunakan metode Waterfall dengan implementasi bahasa pemrograman python dari pustaka OpenCv untuk memproses ciri wajah menggunakan identifikasi biometrikuntuk mengenali individu berdasarkan karakteristik wajah dan menjadi nilai tambahan agar terhindar pada permasalahan manipulasiabsensi dan manajemen basis data open-source menggunakan bahasa query (MySQL) . Evaluasi sistem dilakukan dengan metode System Usability Scale (SUS) untuk memastikan bahwa sistem yang dibuat berfungsi secara teknis dan dapat memenuhi ekspetasi pengguna. Dengan nilai hasil skor SUS >80,3 menunjukkan bahwa sistem absensi deteksi wajah berbasis web yang dikembangkan menggunakan OpenCv ini berhasil secara usability dan dapat membantu dalam pengembangan manajemen SDM pada perusahaan.  \nKata Kunci: Sistem Absensi; Deteksi Wajah; Sistem Berbasis Web; SUS (System Usability Scale); Manajemen SDM  \nAbstract􀀐The attendance system is one of the important aspects for Tabebuya Resort and Restaurant for systematic human resource processing, the attendance system needed to be the basis for calculating salaries, evaluating discipline, and assessing the work of each employee. Therefore, an accurate, efficient, and transparent abscess system is needed so that the company’s productivity can be properly maintained. This research aims to develop the attendance system used by Tabebuya into a web-based face recognition system to make it easier for every employee to access the attendance system used by Tabebuya which originally had a problem in attendance recapitulation which had an effect on salary dan the failure of finger detection which had an effect in operational speed and long queues to become a web-based face recognition atttandance system to make it easier for every employee to access the attendance system with their own device with a certain coordinate point for avoiding operational disruptions and providing roleaccess limits to avoid manipulation of data. In the development of the system the programming, the software development method uses the waterfall method with the python program language implementation by OpenCV library to process facial features using biometric identification to recognize individuals based on facial characteristics and becomes an additional value to avoid the proble","cbCailMjYW6zeczU","https://ap.wps.com/l/cbCailMjYW6zeczU","pdf",1324221,11,"Indonesian","# Pendahuluan\n## Latar belakang transformasi digital dan manajemen SDM\n## Peran sistem absensi dalam perusahaan\n# Tujuan dan ruang lingkup penelitian\n## Pengembangan sistem face recognition berbasis web\n## Evaluasi usability menggunakan SUS","[{\"question\":\"Mengapa sistem absensi berbasis fingerprint perlu diganti pada Tabebuya?\",\"answer\":\"Fingerprint mengalami masalah pada rekapitulasi absensi yang memengaruhi perhitungan gaji serta kegagalan pendeteksian jari yang berdampak pada kecepatan operasional dan antrian panjang.\"},{\"question\":\"Bagaimana sistem face recognition berbasis web dirancang dalam penelitian ini?\",\"answer\":\"Sistem dikembangkan dengan metode Waterfall menggunakan Python dan pustaka OpenCV untuk memproses ciri wajah, melakukan identifikasi biometrik, serta mengelola data dengan MySQL.\"},{\"question\":\"Bagaimana evaluasi sistem dilakukan dan apa hasilnya?\",\"answer\":\"Evaluasi menggunakan metode System Usability Scale (SUS) untuk memastikan sistem berfungsi sesuai ekspektasi pengguna. Hasil skor SUS \\u003e 80,3 menunjukkan sistem berhasil dari sisi usability.\"}]","Sistem Face Recognition Berbasis Web menggunakan OpenCV Serta Evaluasi dengan Metode System Usability Scale | PDF",17]