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All Journal Info-Teknik STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer
Setiawan, Ahmat
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Analisis Sentimen Tanggapan Pengguna Aplikasi Bale by BTN Menggunakan Metode Support Vector Machine (SVM) Setiawan, Ahmat; Hasan, Firman Noor
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 4 No. 4 (2025): November
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v4i4.6469

Abstract

Dalam era digital yang kian berkembang, analisis sentimen pada komentar pengguna dijadikan alat penting untuk mengevaluasi kualitas aplikasi mobile banking. Penelitian ini bertujuan untuk mengidentifikasi sentimen pengguna pada aplikasi bale by BTN yang diluncurkan pada Februari 2025 sebagai penyempurna dari aplikasi BTN Mobile. Metode yang digunakan meliputi scraping data ulasan dari Google Play Store, preprocessing teks (case folding, normalisasi, tokenisasi, stopword removal, dan stemming), pelabelan berdasarkan kamus lexicon-based approach, serta pembangunan klasifikasi model dengan algoritma Support Vector Machine dengan TF-IDF vectorization. Dari 2.000 data awal, diperoleh 1.767 data valid yang dianalisis. Hasil menunjukkan bahwa model SVM mencapai akurasi sebesar 73,16%, dari 354 data testing dengan distribusi sentimen: positif (52,57%), dan negatif (47,43%). Model menunjukkan performa terbaik dalam mengklasifikasi sentimen Positif dengan precision 0.73, recall 0.80, dan F1-score 0,77 pada 194 data sedangkan pada sentimen negatif, model menunjukan hasil cukup baik dengan precision 0.73, recall 0.65, dan F1-score 0.69 pada 160 data.
ANALISIS KEAMANAN DATA DENGAN ALGORITMA ADVANCED ENCRYPTION STANDARDS (AES) DAN RIVEST SHAMIR ADLEMAN (RSA) Setiawan, Ahmat
INFO-TEKNIK Vol 26, No 2 (2025): INFOTEKNIK VOL. 26 NO. 2 DESEMBER 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v26i2.23074

Abstract

In an increasingly interconnected digital era, data security has become a critical aspect across various sectors such as banking, government, and the technology industry. Threats to information, including hacking and data theft, have driven the need for encryption technology as a primary solution for data protection. This study aims to analyze the effectiveness of two widely used modern cryptographic algorithms—Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA)—in safeguarding digital data. AES is a symmetric algorithm that operates on 128-bit data blocks, while RSA is an asymmetric algorithm that relies on the complexity of factoring large prime numbers. This study compares the strengths and weaknesses of both algorithms in terms of encryption efficiency, resilience against cyberattacks, and their implementation in information technology systems such as digital banking services, cloud computing, and online transactions. Through a literature review, this research seeks to provide a comprehensive understanding of the role of cryptography in addressing information security challenges in the digital age.
Co-Authors Firman Noor Hasan