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All Journal International Journal of Management Science and Information Technology (IJMSIT) Jurnal Computer and Technology
Liana Trihardianingsih
Universitas PGRI Jombang
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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A Dual-Pipeline Imbalance-Robust Framework for SMS Spam Detection: Achieving Flawless Precision via SMOTE-Augmented Ensembles with Rigorous Statistical Validation Zulpan Hadi; Selamet Riadi; Supardianto; Aulia Riswanti Naya; Liana Trihardianingsih
Journal Computer and Technology Vol. 4 No. 1 (2026): July 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/comtechno.v4i1.510

Abstract

The rapid proliferation of digital communication has exponentially increased the volume of Short Message Service (SMS) spam, exposing mobile users to systemic convenience disruptions, productivity drops, and severe financial losses through sophisticated fraudulent schemes. To construct a highly dependable filtering mechanism, this study presents a rigorous dual-pipeline machine learning framework that systematically addresses the challenges of class imbalance in statistical text mining. Utilizing a verified dataset of 5,572 Indonesian-context short messages, the raw textual corpus is subjected to uniform case normalization, structural URL extraction, and character filtering before feature projection via Term Frequency–Inverse Document Frequency (TF-IDF) vectorization. To overcome the inherent accuracy paradox of skewed class distributions, the experimental design evaluates a baseline pipeline (imbalanced data) against a synthetic data augmentation pipeline leveraging the Synthetic Minority Oversampling Technique (SMOTE) across four distinct classifiers: Logistic Regression, Naive Bayes, Linear Support Vector Machine (Linear SVM), and Random Forest. Empirical results demonstrate that while the baseline Linear SVM serves as the optimal standalone model for overall balance, achieving a peak accuracy of 98.11% and a dominant F1-Score of 92.83%, the SMOTE-augmented Random Forest configuration yields an exceptional high-security alternative by securing a flawless 100.00% precision envelope alongside an 83.89% recall rate. Advanced post-hoc evaluations including McNemar's statistical significance tests (,  for Random Forest), qualitative error analyses of semantic edge cases, and runtime profiling confirm that the developed architecture establishes a highly scalable, mathematically verified, and low-latency solution suitable for integration into real-time telecom filtering gateways.
Zakat, Trust, and the Digital Window: A Comparative Analysis of Web Disclosure Practices Among Indonesia's National Zakat Institutions Hanifah Permatasari; Liana Trihardianingsih; Eko Purwanto
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.7646

Abstract

The National Zakat Amil Institutions (LAZNAS) play a vital role in Indonesia's zakat ecosystem as independent non-governmental organizations connecting muzakki with beneficiaries nationwide, and official websites have become a primary medium through which they communicate identity, programs, and fund management accountability to the public. This study examines digital disclosure patterns across all 15 nationally licensed LAZNAS websites through qualitative content analysis conducted in June 2026, using a five-dimensional rubric adapted from global NPO web disclosure frameworks and enriched with Islamic accountability principles. Findings reveal considerable variation across dimensions and websites, with program reporting the most consistent and financial transparency the most varied. A fund efficiency summary is not yet explicitly available on any website in the sample, reflecting the absence of sectoral norms or regulatory provisions encouraging this type of public digital disclosure, and more than half of the websites face technical barriers that limit public accessibility. The study proposes technical website accessibility as a distinct analytical dimension in Islamic philanthropy web disclosure research and identifies innovative practices with potential for broader sectoral adoption.
Co-Authors Aulia Riswanti Naya Permatasari, Hanifah Purwanto, Eko Selamet Riadi Supardianto Zulpan Hadi