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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) International Journal Software Engineering and Computer Science (IJSECS) TARBIYATUL ILMU: Jurnal Kajian Pendidikan
Anna Dina Kalifia
Universitas Teknologi Yogyakarta
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mathematics Physics Other

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Rancang Bangun Aplikasi untuk Pemesanan Jasa Tukang Bangunan Sebagai Solusi Digital Bidang Konstruksi Berbasis Android Nugrahman Reski Putra; Anna Dina Kalifia
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 12, No 4 (2024): Vol. 12, No 4, Desember 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v12i4.131002

Abstract

ABSTRAKPeningkatan populasi dan urbanisasi di berbagai daerah telah mendorong kebutuhan akan layanan konstruksi, termasuk jasa tukang bangunan. Konsumen sering kali mengalami kesulitan dalam menemukan tukang yang andal, tepat waktu, dan sesuai kebutuhan. Penelitian ini bertujuan mengembangkan aplikasi berbasis Android yang mempermudah pencarian dan pemesanan jasa tukang bangunan di Kabupaten Sleman. Aplikasi ini menyediakan fitur pencarian tukang, menampilkan profil tukang, serta ulasan dari konsumen sebelumnya. Dengan antarmuka yang ramah pengguna, aplikasi ini mempercepat proses pemesanan dan meningkatkan transparansi melalui sistem ulasan dan penilaian. Pengujian aplikasi menunjukkan bahwa aplikasi ini tidak hanya mempercepat proses pemesanan, tetapi juga meningkatkan kualitas layanan konstruksi secara keseluruhan.Kata kunci : Aplikasi Android, Jasa Tukang Bangunan, Pemesanan Online, Layanan Konstruksi, Teknologi Mobile.Increasing population and urbanization in various regions have driven the need for construction services, including handyman services. Consumers often experience difficulties in finding a reliable, timely, and appropriate handyman. This research aims to develop an Android-based application that facilitates the search and ordering of handyman services in Sleman Regency. This application provides a handyman search feature, displays handyman profiles, and reviews from previous consumers. With a user-friendly interface, this application speeds up the ordering process and increases transparency through a review and rating system. Testing of the app shows that it not only speeds up the booking process, but also improves the overall quality of construction services.Keywords: Android Apps, Builders, Online Booking, Construction Services, Mobile Technology.
Klasifikasi Tingkat Kematangan Pisang dengan YOLOv11 untuk Pengurangan Food Loss and Waste Ananda, Rezky Dwi; Kalifia, Anna Dina
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 15, No 2 (2025): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v15i2.4626

Abstract

Food loss and waste (FLW) is a serious issue in the global food system, including in the banana commodity sector. One of the main challenges lies in the manual fruit sorting process, which is prone to errors and inconsistencies due to human subjectivity. Although various deep learning approaches have been applied to fruit ripeness classification, most previous studies still rely on earlier versions of the YOLO model or conventional CNNs, which are limited in handling visual variations and detecting small objects in real-time. This study proposes the application of the YOLOv11 algorithm, a state-of-the-art deep learning model in computer vision, to automate the visual classification of banana ripeness levels. Leveraging YOLOv11's strengths in real-time object detection, the system is designed to categorize bananas into four ripeness classes. Experimental results show that the model achieved an mAP@0.5 of 0.835, with the highest precision of 0.934 and an average inference time of 63.8 milliseconds per image. Extreme classes such as unripe and overripe yielded high accuracy, while transitional classes experienced performance drops due to visual similarity. This approach is expected to support food loss reduction, improve sorting efficiency, and enhance the competitiveness of horticultural products in both domestic and export markets.
Development and Implementation of an Android Application for Camping Equipment Rental at Langit Adventure Saka Nusi Wiandra; Anna Dina Kalifia
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3254

Abstract

This study aims to develop and deploy an Android application for camping equipment rental for Langit Adventure. For the rental process that was previously carried out conventionally, this application was created to optimize it and increase efficiency, reduce chaos. Researchers use the Rapid Application Development (RAD) methodology to develop with the integration of rapid development and feedback. The results of the Black Box functional testing have been successfully met. This makes camping equipment rental easier to use and serves as a digital solution that is beneficial to renters and service providers. This application simplifies the management of camping equipment rentals, improves user experience, and provides a practical digital solution for renters and service providers.
Co-Authors Ahmad Faizin, Ahmad Ananda, Rezky Dwi Fadil Indra Sanjaya Ihtisan, Muhammad Rayhan Budi Kartasasmita, Ivan Bhagaskara Najwa Salsa Bila Wijaya Nugrahman Reski Putra Nur, Taufik Mustafa Risna tri prasetiyo Saka Nusi Wiandra Saucha Diwandari Wahyu Fajar Nugraha Wijayanto, Wahyu Yesi Nurhana Dalimonthe