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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Testing dan Implementasi Sistem Informasi
Daffa Takratama Savra
Universitas Islam Negeri Sultan Syarif Kasim Riau
Computer Science & IT Electrical & Electronics Engineering

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Aspect-based Sentiment Analysis of Public Opinions on Integrated Islamic Schools using Lexicon based and Machine Learning Approaches Fitriani Muttakin; Daffa Takratama Savra
SISTEMASI Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.5848

Abstract

This study aims to examine public perceptions of Integrated Islamic Schools through aspect-based sentiment analysis by integrating Latent Dirichlet Allocation, Lexicon-Based approach, and Deep Neural Networks. LDA is employed to extract topic structures that represent the semantic context of public reviews, Lexicon Based method is used for sentiment analysis, while DNN infers sentiment orientation based on the extracted representations. This approach seeks to combine the strengths of probabilistic topic modeling and deep learning to obtain a more comprehensive understanding of public opinion. The analysis was conducted on a collection of 2,280 online reviews, which after preprocessing resulted in 1,438 reviews processed using the LDA–DNN combination. The results demonstrate that this approach is capable of identify in opinion dimensions in a more contextual manner and enhancing the interpretability of the analysis outcomes. Empirical evaluation shows that the proposed model achieved an accuracy of 63.89% for aspect classification and 93.06% for sentiment classification, outperforming the K-Means–LSA and K-Means–PCA approaches, which achieved 45.14% and 31.94% accuracy for aspect classification and 92.36% accuracy for sentiment classification, respectively. These findings confirm the superiority of probabilistic topic modeling in capturing complex semantic relationships and provide a methodological contribution to the development of sentiment analysis in the context of integrated Islamic education.
EMPLOYEE PAYROLL SYSTEM DESIGN USING EXTREME PROGRAMMING ALGORITHM Muhammad Luthfi Hamzah; Daffa Takratama Savra; Della Harmutika; Rahma Sani Nahampun; Ali Alamuddin Muzaffar; Anjasy Syahroni; Abdul Hamid
Jurnal Testing dan Implementasi Sistem Informasi Vol. 3 No. 2 (2025): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v3i2.344

Abstract

The employee payroll system was built to make it easier for companies, especially those that still handle payroll manually, to manage employee payroll data. Company X still records employee information, absence information, and salary information manually in a book as part of its employee payroll process. The design of the employee payroll system in this study uses the Extreme Programming method. The Extreme Programming approach is used in the design of the employee payroll system in this study. This study also tests the system. The system is tested using White-box and Black-box testing methodologies, with the aim of testing the functional and non-functional requirements of the system. The findings of this study lead to the creation of an employee payroll information system that Company X can use to facilitate the payroll process for its employees.
Audit Tata Kelola Universitas Islam Negeri Sultan Syarif Kasim Riau Kuliah Kerja Nyata Sistem Menggunakan COBIT 2019 Afi Ghufran Yuda; Daffa Takratama Savra; Fandi Rahmat Halim; Muhammad Ripaldo Pratama; Naufal Safiq Tama; Megawati Megawati
Jurnal Testing dan Implementasi Sistem Informasi Vol. 2 No. 1 (2024): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v2i1.774

Abstract

Penelitian ini menggunakan framework Control Objectives for Information and Related Technology (COBIT) 2019. Tujuannya adalah untuk mengidentifikasi masalah-masalah yang ada dan memberikan rekomendasi perbaikan guna meningkatkan tata kelola teknologi informasi di LPPM. Penelitian ini melibatkan tahap perencanaan, pengumpulan data, dan analisis hasil. Hasil audit menggunakan COBIT 2019 menunjukkan bahwa sistem berada pada level 2 dengan kategori Large Achieved (L) untuk proses APO01, APO04, APO14, dan BAI03. Hal ini menandakan bahwa sistem berjalan dengan baik meskipun masih ada kekurangan dalam konsistensinya. Sementara itu, proses APO06 mencapai level 5 dengan kategori Fully Achieved (F), menunjukkan bahwa sistem telah terdefinisi dengan baik, namun perlu pengukuran kinerja untuk meningkatkan perbaikan yang berkelanjutan. Penelitian ini memberikan kontribusi dalam meningkatkan tata kelola teknologi informasi di LPPM Universitas Islam Negeri Sultan Syarif Qasim. Rekomendasi perbaikan yang diberikan dapat menjadi panduan bagi LPPM dalam mengoptimalkan penggunaan teknologi informasi dalam proses pemilihan lokasi Kuliah Kerja Nyata (KKN) Mahasiswa. Diharapkan dengan implementasi rekomendasi ini, efektivitas penggunaan website LPPM dapat ditingkatkan, sehingga masalah seperti server yang sering down, kesulitan dalam proses login, kurangnya integrasi database, dan user interface yang membingungkan dapat diatasi.
Co-Authors Abdul Hamid Afi Ghufran Yuda Ali Alamuddin Muzaffar Anjasy Syahroni Della Harmutika Fandi Rahmat Halim Fitriani Muttakin Megawati Megawati Muhammad Luthfi Hamzah Muhammad Ripaldo Pratama Naufal Safiq Tama Rahma Sani Nahampun