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Innotech
Published by Universitas Siber Indonesia
ISSN : -     EISSN : 30311640     DOI : -
Core Subject : Science,
Computer Science & IT
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi adalah sebuah jurnal blind peer-review yang disediakan untuk publikasi hasil penelitian yang berkualitas di bidang Ilmu Komputer, Sistem Informasi dan Teknologi Informasi namun tak terbatas secara implisit. Semua publikasi di jurnal Innotech bersifat akses terbuka yang memungkinkan artikel tersedia secara bebas online tanpa berlangganan apapun. Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi adalah jurnal nasional serta bebas biaya dalam Proses Submisi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 32 Documents
 1   2   3   4 
Identifikasi Perbandingan Prediksi Harga Saham pada PT XYZ Menggunakan Teknik Algoritma FB Prophet dan Random Forest pada Metode CRISP-DM Rika Astuti; Dwi Chandra Bagaskoro Setyoko
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 3 No 1 (2026): Innotech Issue Januari 2026
Publisher : Universitas Siber Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to compare the effectiveness of two stock price prediction algorithms, namely FB Prophet and Random Forest, using the CRISP-DM method. The main focus of the study is on the stocks of PT XYZ, with data taken from the period of March 1, 2019, to March 1, 2024. Stock price prediction is a significant topic in the field of finance as it can help investors make better decisions. Both algorithms are evaluated based on error rates measured using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE). This study demonstrates that both FB Prophet and Random Forest algorithms have their respective advantages in predicting stock prices. This research is also expected to contribute to the scientific literature in the fields of data mining and stock price prediction analysis.
Evalusi Kualitas Fungsional Sistem Persediaan Penjuaalan Web Dengan Blackbox dan UAT Nenden Nuraini; Andi Ode Larios; Andhika Pramudya; Tundo
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 3 No 1 (2026): Innotech Issue Januari 2026
Publisher : Universitas Siber Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study evaluates the functional quality of a web-based inventory and sales information system by integrating Black Box Testing and User Acceptance Testing (UAT). These two methods were applied to 32 test cases covering authentication, master data, purchasing, and sales modules, resulting in 27 successful cases and an overall success rate of 84.38%. The remaining five cases revealed several limitations, namely the unavailability of CSV data export in four modules, the absence of a delivery-order feature, and the lack of validation to prevent negative stock in sales transactions. UAT involved nine store users through daily work scenarios and a five-point Likert questionnaire covering functional suitability, usability, reliability, efficiency, and overall satisfaction. The UAT results showed an overall mean score of 4.2 (“Good”), with the highest score in the reliability dimension (4.5) and the lowest in the efficiency dimension (3.9). In general, users considered the system adequate to support basic operations, but still requiring reporting flexibility and safeguards against input errors. These findings indicate that the combination of Black Box Testing and UAT is effective in identifying gaps between technical specifications and operational needs, and provides a basis for recommendations to improve web-based inventory and sales systems in small retail environments.

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