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Pendekatan Hybrid Menggunakan Framework Bootstrap untuk Rancang Bangun Website yang Responsif Nurul Faizah; Fenty Eka Muzayyana Agustin; Khaisma Asfi Fuadiyah
Jurnal Sistem Cerdas dan Rekayasa (JSCR) Vol 8 No 1 (2026): Jurnal Sistem Cerdas dan Rekayasa (JSCR) 2026
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Widya Kartika (LPPM UWIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61293/jscr.v8i1.953

Abstract

Desain responsive website telah memungkinkan terciptanya platform digital yang lebih interaktif dan mudah diakses oleh berbagai perangkat. Bagi pengguna smartphone website akan nyaman digunakan seperti menggunakan aplikasi berbasis android atau ios, karena website dapat menyesuaikan ukuran layar perangkatnya. Pendekatan hybrid dengan teknologi Framework Bootstrap digunakan dalam penelitian ini untuk menciptakan pengalaman pengguna yang positif. Metode Rapid Application Development (RAD) digunakan untuk pengembangan aplikasi secara cepat dan fleksibel. Pengujian dilakukan menggunakan black box testing untuk memastikan fungsionalitas system berjalan dengan baik, dan System usability scale (SUS) untuk mengukur pengalaman pengguna. Hasil skor SUS rata-rata 82 dengan kategori excellent. Hasil penelitian ini menunjukkan bahwa kombinasi pendekatan hybrid, desain responsif, dan metode pengembangan RAD mampu menciptakan platform yang optimal dan bisa digunakan sebagai alat deteksi dini kesehatan mental mahasiswasemester akhir.
Implementation of Adaptive Neuro-Fuzzy Inference System and Image Processing for Design Applications Paper Age Prediction Valeria Cynthia Dewi; Victor Amrizal; Fenty Eka Muzayyana Agustin
Jurnal Riset Ilmu Teknik Vol. 1 No. 1 (2023): Jurnal Riset Ilmu Teknik
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v1i1.6

Abstract

The development of technology today is widely misused by some people who intend to forge paper on documents and books. One way to find out the authenticity of a paper is by knowing its age. The age of paper can be known in several ways: carbon dating, uranium dating, and potassium-argon dating. But these methods still have weaknesses, requiring sophisticated equipment at a high cost, long processes to get results and limited access. To solve this problem, researchers made an application that can identify the age range of a sheet of paper with a faster process, low cost and does not have to be used by laboratory employees alone. The application is a Paper Age Prediction Application made desktop-based, using the MATLAB programming language with the Anfis Sugeno (TSK) Gaussian membership function method. Image processing by taking the average values of C, M, Y, and K from 70 images used as a database and will be trained with ANFIS. The research method uses interviews, observations, and literature studies—the prototype application development method. The test results showed an application success rate in identifying 60 data that had been trained by 100% against 40 that had not been trained by 42.5%.