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Identification of Traditional Herbal Leaves and Their Benefits Using K-Nearest Neighbors (KNN) Nur Rahma Ditta Zahra; Kanaya Sabila Azzahra; Nur Iman Nugraha; Muhammad Ilham Nurfajri; Nabil Malik Al Hapid; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.113

Abstract

Abstract. This study presents a web-based system for identifying traditional herbal leaves using K-Nearest Neighbors (KNN) and image processing techniques focused on analyzing leaf shape and color. The dataset used consists of images of various types of herbal leaves, providing a basis for classification and medicinal benefit information retrieval. The system was tested with multiple leaf samples to assess accuracy, speed, and effectiveness in identifying leaf types based on visual characteristics. Results show that the system can recognize different types of herbal leaves and display information on their medicinal properties in a user-friendly interface..
Analysis and Testing of the Combox Web Application System Using Black Box Testing with the Equivalence Partitioning Method Dini Nurul Azizah; Ibnu Aqil Mahendar; Muhammad Fillah Alfatih; Setiady Ibrahim Anwar; Nabil Malik Al Hapid; Aditya Wicaksono; Gema Parasti Mindara
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 1 No. 4 (2024): December : International Journal of Electrical Engineering, Mathematics and Com
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v1i4.118

Abstract

This research focuses on evaluating the Combox web application, a digital tool designed to help Food and Beverage (F&B) business owners strengthen their online presence. The analysis was carried out through Black Box Testing, specifically using the Equivalence Partitioning method, to assess core functionalities like login, logout, product management, and pagination. The findings reveal that while most features function as intended, there are issues with product addition and editing, as well as pagination when no data is available. These results highlight areas that need refinement to improve the application’s reliability and user experience. In summary, this research supports the advancement of a digital platform that enables F&B businesses to harness technology effectively in today’s competitive landscape.
Implementasi Metode Waterfall dalam Pembuatan Website Katering Diet FitMeal Anatasya Wenita Putri; Helena Dewi Hapsari; Rivanka Marsha Adzani; Nabil Malik Al Hapid; Aditya Wicaksono; Mindara, Gema Parasti
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan (in press)
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.725

Abstract

Perkembangan gaya hidup sehat mendorong masyarakat untuk memilih makanan yang tidak hanya praktis, tetapi juga bernutrisi dan sesuai dengan kebutuhan diet. Namun, sistem pemesanan catering tradisional masih memiliki sejumlah keterbatasan, seperti proses yang tidak efisien dan minimnya personalisasi menu. Penelitian ini bertujuan untuk merancang website FitMeal sebagai platform digital pemesanan catering sehat dan program diet menggunakan metode pengembangan perangkat lunak Waterfall. Proses pengembangan meliputi tahap analisis kebutuhan, desain sistem, implementasi, pengujian, hingga pemeliharaan. Website dikembangkan menggunakan framework Laravel dengan pendekatan Model-View-Controller (MVC). Untuk menjamin kualitas sistem, dilakukan pengujian menggunakan metode Black Box Testing dengan teknik Equivalence Partitioning. Sebanyak 13 fitur utama, baik dari sisi pengguna maupun admin, diuji menggunakan berbagai skenario input valid dan tidak valid. Hasil pengujian menunjukkan bahwa seluruh fitur, termasuk registrasi, pemilihan paket diet harian/bulanan, informasi gizi per menu, Top Menu, dan sistem pembayaran terintegrasi, berhasil dijalankan tanpa kesalahan fungsional. Website FitMeal diharapkan dapat menjadi solusi digital yang efektif dan user-friendly dalam mendukung masyarakat menjalani gaya hidup sehat melalui akses pemesanan makanan berbasis teknologi yang personal dan andal.