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The IJICS (International Journal of Informatics and Computer Science)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 25488449     EISSN : 25488384     DOI : https://doi.org/10.30865/ijics
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
The The IJICS (International Journal of Informatics and Computer Science) covers the whole spectrum of intelligent informatics, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Cognitive systems • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, fault analysis and diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High Performance Computing • Information storage, security, integrity, privacy and trust • Image and Speech Signal Processing • Knowledge Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Memetic Computing • Multimedia and Applications • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 153 Documents
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Performance Analysis of RSA–RC4 Hybrid Encryption Using the EM2B Key Generator Elwin Purba Elwin; Aji Prabowo; Jesman Ritonga
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9992

Abstract

This study evaluates the computational performance of a hybrid encryption scheme that combines RSA for key protection, RC4 for file encryption, and the EM2B mechanism for deterministic key expansion. The prototype was implemented as a PHP-based application and tested on 35 SQL text files. RC4 was used as the baseline, while the hybrid scheme was assessed using ciphertext size, character count, encryption time, decryption time, and restoration success. The reported averages show that RC4 required 1.33 s for encryption and 1.41 s for decryption, whereas RSA–EM2B–RC4 required 5.30 s and 100.09 s, respectively. The hybrid scheme also produced approximately 4.29 times greater ciphertext storage than RC4 alone. All files were restored to the same reported size after decryption; however, byte-level or hash-based integrity verification was not performed. Therefore, the results demonstrate functional implementation and quantify computational overhead, but they do not establish superior cryptographic security. RC4 is retained only as an experimental legacy baseline because current standards deprecate its operational use. Future evaluation should include authenticated encryption, entropy and randomness testing, key-sensitivity analysis, repeated timing trials, and cryptographic hash verification of restored files.
Random Forest Model for Food Security Index Prediction Using Climate and Socioeconomic Panel Data in North Sumatra Wira Apriani; Rizki Fadila Nasution; Rangga Pohan; Tyo Rizki Ramadhan
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9998

Abstract

This study develops and evaluates a Random Forest Regression model for predicting the Food Security Index (IKP) using climate and socioeconomic panel data from 33 regencies/cities in North Sumatra, with Deli Serdang Regency as the principal case discussed. The predictors comprise poverty rate, gross regional domestic product (GRDP) per capita, annual rainfall, and annual rainy days. The common modeling period was 2020–2021. Of 66 potential regency-year observations, eight lacked IKP values in 2021, leaving 58 complete observations. To account for the panel structure, model performance was evaluated using nested group-aware cross-validation, with regency/city as the grouping variable. Across five outer folds, Random Forest achieved RMSE 8.450 ± 2.703, MAE 6.289 ± 2.018, and R² −0.501 ± 1.500. Linear regression obtained RMSE 8.282 ± 2.431, MAE 6.401 ± 2.262, and R² −0.363 ± 1.192, while a single decision tree obtained RMSE 9.821 ± 3.482, MAE 8.030 ± 2.849, and R² −0.972 ± 1.871. Thus, no model demonstrated strong or stable out-of-group generalization. Repeated group-aware permutation analysis identified poverty rate as the most consistent predictor. The results are predictive and associational, not causal, and the present model should be regarded as an exploratory proof of concept requiring larger, spatially resolved data for robust regional forecasting.
Digital Evidence Integrity System Using SHA-256 Hashing for Digital Forensic Data Tracking Yuda perwira; Humala Simangunsong; Yogi Irwan Syahputra; Selvi Yolanda
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9999

Abstract

This study presents the design and implementation of a digital forensic system that integrates an audit trail mechanism with the SHA-256 hashing algorithm to track data changes and detect unauthorized manipulation, without depending on a blockchain architecture. Using a Design Science Research approach, the system called the Digital Evidence Integrity System was built as a web application with PHP and MySQL, covering requirement identification, model design, implementation, an integrity validation mechanism, and testing and evaluation. Evaluation began with a pilot of five records under authorized and unauthorized update scenarios that simulated direct database access, then was expanded to sixteen scenarios spanning seven manipulation categories: insert, update, deletion, replay, concurrent access, stored-hash alteration, and audit-trail-log manipulation. Across the fourteen scenarios usable for a confusion matrix, the system correctly flagged 4 of 9 genuine manipulation attempts (a 44.4% detection rate) with zero false positives on legitimate changes, while consistently failing to detect four categories of manipulation: outright deletion of a record, replay of a superseded but internally valid data-hash pair, an attacker recomputing and overwriting the stored hash together with the data, and tampering with the audit-trail log itself. A repeated one-character perturbation test (60 trials) confirmed the avalanche effect of SHA-256, with a mean Hamming distance of 126.42 of 256 bits (49.38%, SD 8.52) between the hash of the original and the perturbed input. Taken together, these findings indicate that an audit trail combined with SHA-256 hashing is computationally lightweight and reliably detects manipulation that alters data without also updating its stored hash, but is not, in its current form, a sufficient safeguard against an attacker capable of also controlling the hash or the log; protecting the audit-trail log itself, adding a genuine user-authentication mechanism, and closing the deletion, replay, and stored-hash-alteration gaps identified here are the priorities for further development before the system could be relied upon in an operational forensic setting.

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