Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Blend Sains Jurnal Teknik
Gema Parasti Mindara
IPB University, Bogor
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pengujian Kualitas Fungsional Website PERKASA Menggunakan Metode Black Box dengan Pendekatan Equivalence Partitioning Vellisya Afifa Qonita; Indira Sistamarien; Siti Laila Nurjannah; Silvia Ariani Daulay; Gema Parasti Mindara; Aditya Wicaksono
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8874

Abstract

This study was conducted by applying Black Box testing using the Equivalence Partitioning method to validate the functionality of the PERKASA website, a digital consultation platform in the fisheries sector designed to support fish farmers. The research was carried out in a controlled testing environment with a focus on several main features, namely expert consultation, account login, account registration, articles, and user profile editing. The Equivalence Partitioning method was used to categorize inputs into classes representing valid and invalid conditions. Each test case was executed to determine whether the system produced outputs that matched the expected results. A quantitative approach was applied to compare the actual outcomes with the predefined expected values. Test results showed that out of 54 scenarios, 46 performed as expected, resulting in a functional validation rate of 85,19%. Meanwhile, several other scenarios showed discrepancies in specific input validation. Validation was performed on both client and server sides to ensure data integrity and an optimal user experience. These findings demonstrate that Equivalence Partitioning can serve as a useful method for supporting the development of new websites such as PERKASA, while also contributing to future research on web based information systems.
Perancangan dan Implementasi Sistem Informasi Penyewaan Peralatan Hiking “Gearventure” Berbasis Website Hasna Nabiilah Widiani; Asa Yuaziva; Hafiz Fadli Faylasuf; Anggito Rangkuti Bagas Muzaqi; Gema Parasti Mindara; Aditya Wicaksono
Blend Sains Jurnal Teknik Vol. 4 No. 2 (2025): Edisi Oktober
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v4i2.890

Abstract

Perkembangan kegiatan outdoor seperti mendaki gunung dan berkemah semakin meningkat, namun keterbatasan perlengkapan menjadi kendala bagi sebagian masyarakat. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi penyewaan peralatan camping dan hiking berbasis website bernama GearVenture sebagai solusi digital untuk mempermudah proses peminjaman. Metode yang digunakan adalah Waterfall, dimulai dari tahap requirement, design, implementation, verification dan maintenance. Hasil penelitian menunjukkan bahwa sistem ini mampu menyediakan fitur-fitur yang relevan, seperti katalog alat sewa, manajemen transaksi, dan halaman informasi event. Pengujian fungsional membuktikan bahwa seluruh fitur berjalan sesuai dengan kebutuhan pengguna, baik dari sisi admin maupun penyewa. Selain itu, GearVenture mengintegrasikan Business Intelligence untuk mendukung pengambilan keputusan, seperti pada halaman detail produk yang menampilkan rekomendasi produk terkait menggunakan algoritma Apriori, serta pada dashboard admin yang menampilkan ringkasan aktivitas, analisis tren penyewaan melalui grafik garis, dan distribusi pengguna berdasarkan jenis kelamin dengan diagram lingkaran. Sistem ini diharapkan dapat meningkatkan efisiensi pengelolaan penyewaan peralatan dan memberikan kemudahan akses layanan secara online bagi para penggiat aktivitas luar ruang.
Co-Authors Aditya Wicaksono Anggito Rangkuti Bagas Muzaqi Asa Yuaziva Hafiz Fadli Faylasuf Hasna Nabiilah Widiani Indira Sistamarien Silvia Ariani Daulay Siti Laila Nurjannah Vellisya Afifa Qonita