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All Journal Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Informatika Global STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Infotek : Jurnal Informatika dan Teknologi Madaniya Jurnal Teknik Informatika (JUTIF) Infotech: Jurnal Informatika & Teknologi Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Dinamika Informatika (JDI) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Hartanti, Dwi
Universitas Duta Bangsa Surakarta
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics

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Sistem Rekomendasi Pemilihan Jenis Lensa Kacamata Menggunakan Metode Knowledge Based Recommendation (Studi Kasus : Optik Wiratama Kacamata 2) Ulhaq, Ahmad Dia; Hartanti, Dwi; Sari, Aprilisa Arum
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 10, No 1 (2025)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v10i1.28938

Abstract

The main problem that customers often face in choosing eyeglass lenses is the lack of information that suits the user's specific needs, such as eye complaints, daily activities, and lens feature preferences. This study aims to build a recommendation system for selecting eyeglass lenses using the Knowledge-Based Recommendation approach with the Constraint-Based method. The system development methodology uses the Agile Software Development model, with iterative stages that allow for periodic system evaluation. Data were obtained through interviews with customers and staff of Optik Wiratama Kacamata 2, as well as direct observation of user needs. This system was built web-based with the PHP programming language and the Laravel framework. The system test results showed a level of recommendation accuracy with a recall value of 100% and an average precision of 89.16%, indicating that the system is able to provide relevant lens recommendations that suit user needs. This study contributes to providing digital solutions that help decision-making in selecting eyeglass lenses in a personal and efficient manner.
Co-Authors Adi Tiyas Ahmad Fathoni Afu Ichsan Pradana Alvian Ahmada Akhbar Anjar Setiawan Aprilisa Arum Sari Ardhi Tiya Setiawan Arif Wicaksono Septyanto Atina, Vihi Avianto Adi Pratama Bagas Muttaqi Bagus Adi Nugroho Bagus Irfanzah Arda Nugraha Bayu Tri Pramono Daffa Rizki Putra Noordi Dika Adi Pratama Divangga Revansa Arya Pradhana Dwi Handayani Dwi Kurniawan Saputro Dyah Aprimavista Cahyani Eka Wijanarka Satata Putra Enggar Wijaya Putra Ester Anugrayningtyas Faulinda Ely Nastiti Fitroh Ahmad Abdul Aziz Hasda Surya Putra Hiskia Kus Setiawan Indah Nofikasari Iqbal Hanan Junaidi Irfan Agus Prastowo Kevin Yoga Ananta Leny Monica Lidia Earlene Rendhiva Lola Sekar Arum Maskhul Ryan Ibrahim Matin Muhith Maulindar, Joni Meraldy Fiko Rastio Ajie Muhamad Daivany Nur Auilya Saleh Muhammad Arizal Yusuf Hermawan Muhammad Nur Ikhsanuddin Nadia Amalia Putri Nanang Setiawan Neha Poetri Setiawati Permatasari, Hanifah Praba Milantino A.R.K Pramudya Aziz Wisnuadi Puput Dwi Mandiri Raditya Koesyan Dipo Pramukti Rifqi Firdausi Arafad Rizki Hendra Kusuma Robi Wariyanto Abdullah Sandy Yustisio Oktaviandra Shelvi Azizah Sopingi Sri Lestari Ulhaq, Ahmad Dia Ummi Kultsum Vincentius Anggarda P.M Wahyu Adi Pratama Yasinta istiqomah Yuda Abi Bagaskara Zariel Ardian Ekovih