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30,185 Article Results

Newchaos function from the composition of DTM and Gauss iterated map for digital image encryption

10.12928/telkomnika.v24i1.27551
Adrianus; Universitas Indonesia Yosia , Tokonyai Tawanda Jonathan; Universitas Indonesia Rabvemhiri , Suryadi; Universitas Indonesia MT
This manuscript introduces a novel chaotic discrete function, formulated through the composition of the dyadic transformation map (DTM) and the Gauss iterated map (GIM), and designated as DTGIM. The National Institute of Science and Technology (NIST) randomness test suite, bifurcation diagrams, and Lyapunov exponents are used to examine the chaotic characteristics of DTGIM. With ini tial condition x0 = 0.12345 and parameters α = −15 and β = 0.3, the func tion shows chaotic behavior in the bifurcation diagram and produces a positive Lyapunov exponent. Strong randomness is further confirmed by NIST tests, which achieve 100% for 32-bit binary sequences and 63.75% for 8-bit binary sequences. Additionally, we compare a number other chaotic discrete functions that also employ the composition method. These findings show that DTGIM is a viable option for applications involving chaos-based cryptography.
Volume: 24
Issue: 1
Page: 228-239
Publish at: 2026-02-01

Information technology value engineering through partial adjustment valuation theory

10.12928/telkomnika.v24i1.27478
Lukman; Telkom University Abdurrahman , Candiwan; Telkom University Candiwan
The paper proposes a systems management approach that utilizes information technology (IT) treatment as a framework to help firms enhance future performance by optimising key parameters. The method certifies a valuation approach that enables businesses to better manage their IT infrastructure and improve performance. A case study of A case study of PT Telekomunikasi Indonesia (Telkom) and PT XL Axiata (XL) (2004–2018) shows the method’s effectiveness. Once the IT value is identified, specific parameters can be engineered to improve performance without changing other variables. The approach uses a partial adjustment valuation model, enabling performance gains at lower costs. The results show significant improvements in both firms’ performance values and ratios compared to their originals. This supports adopting a cost leadership strategy, making IT based businesses more efficient, cost-effective, and better performing across financial, business, and strategic dimensions.
Volume: 24
Issue: 1
Page: 111-125
Publish at: 2026-02-01

Secure hybrid power-frequency multiple access in satellite terrestrial communication systems: a performance study

10.12928/telkomnika.v24i1.26892
Huu; Industrial University of Ho Chi Minh City Q. Tran , Viet-Thanh; Industrial University of Ho Chi Minh City Pham
This paper investigates a secure hybrid power–frequency multiple access (PFMA) framework for satellite–terrestrial communications. By integrating power- and frequency-domain multiplexing, PFMA achieves approximately 4 dB lower transmit signal-to-noise ratio (SNR) than non-orthogonal multiple access (NOMA) for the same connection outage probability (COP) at SNR > 0 dB, and it reduces the COP by up to 30% at low-to-medium SNRs. It further decreases the intercept probability (IP) by 20–25% at PS = 10 dBm. Closed-form COP and IP expressions are derived under shadowed-Rician fad ing with both internal and external eavesdroppers and validated via Monte Carlo simulations. Parameter analysis indicates that PFMA’s SNR gain can either ex tend coverage by 60% or save 37% energy, providing design guidelines for 6G, satellite IoT, and emergency communication systems. The single-cell assump tion points to future work on multi-cell and mobility scenarios.
Volume: 24
Issue: 1
Page: 14-21
Publish at: 2026-02-01

Advancements in physical layer key generation: a review on channel reciprocity and IoT security techniques

10.12928/telkomnika.v24i1.27340
Syed Shafaq; Southeast University Ali Shah , Ajab; University of Science and Technology Bannu Noor , Ruiyue; Changchun University of Science and Technology Liang , Rahmat Ullah; FAST National University of Computer and Emerging Science Zadran
With the burgeoning internet of things (IoT), securing communication becomes paramount. Traditional cryptography does not meet computational needs and brute-force attacks. This review explores the state-of-the-art physical layer secret key generation (PLKG) that takes advantage of the inherent reciprocity and randomness of wireless channels. We investigate cutting-edge techniques such as feature extraction networks, domain adversarial training, and deep learning-based approaches, evaluating their effects on the security and efficiency of key generation. In addition to these methods, the review addresses real-world challenges such as multi-user scenarios, reconciliation overhead, and inconsistent channel measurement. We believe that improved key generation rates and security can be achieved through the use of millimeter wave technology and full-duplex communication. To strengthen the robustness of key generation, the paper concludes by suggesting future directions, such as incorporating more random sources, such as physiological signals and sensor data. This comprehensive overview offers deep insights into the state-of-the-art and paves the way for reliable communication in ever more complicated IoT settings.
Volume: 24
Issue: 1
Page: 196-205
Publish at: 2026-02-01

Student leadership in Chinese higher education student union: the role of organizational climate and student engagement

10.11591/ijere.v15i1.36185
Lei Hua , Aida Hanim A. Hamid , Bity Salwana Alias
Student leadership (SL) is a key driver for personal growth, organizational effectiveness, and campus governance. However, in China, less attention has been paid to the development of SL, especially within student unions, which play a central role in governance and representation. Therefore, this research explores the effect of organizational climate (OC) and student engagement (SE) on SL in college student unions and examines the moderating effect of SE. A quantitative survey was conducted, targeting 17,200 student union members in Shanxi Province, China. Data was collected from 500 respondents using online questionnaires through a convenience sampling technique. The direct effect and moderating effect were analyzed by partial least squares-structural equation modeling (PLS-SEM), which was chosen due to its suitability for analyzing complex models. The findings revealed that both OC and SE have a positive effect on SL. Moreover, SE significantly moderates the relationship between OC and SL. This research advances social cognitive theory in the Chinese higher education context. It enhances the understanding of how college climate and individual factors interact to shape SL. Practically, it suggests the importance of fostering a supportive OC and stimulating SE in SL development.
Volume: 15
Issue: 1
Page: 469-478
Publish at: 2026-02-01

A qualitative study on the mental and emotional well-being of first-year university students in Malaysia

10.11591/ijere.v15i1.34358
Pauviya A/P Guna Segar , Azlina Mohd Kosnin , Lina Handayani
This study investigates the mental and emotional challenges faced by first-year university students in Malaysia to identify key factors influencing their adjustment to university life. Using a qualitative approach, semi-structured interviews were conducted with 15 first- and second-year students selected through purposive sampling. Conducting this research in Malaysia is essential, as limited studies have examined how local students experience and manage the emotional and mental health challenges associated with the transition to university life. Thematic analysis revealed four key themes: i) declining mental health marked by heightened anxiety and depression; ii) fluctuating self-esteem due to academic pressures and newfound independence; iii) financial stress exacerbating emotional distress; and iv) the role of therapy and professional help in managing mental health concerns. The findings contribute to the growing discourse on student mental health by offering insights into the psychological and emotional dimensions of university transition. The study provides important implications for policy and institutional practice, underscoring the need for comprehensive, student-centered support systems such as structured mental health programs, peer mentoring, and financial literacy workshops. Addressing these factors can enhance students’ well-being, academic performance, and retention. Despite its rich qualitative insights, the small sample size and self-reported data highlight the need for future mixed-method and longitudinal research.
Volume: 15
Issue: 1
Page: 82-88
Publish at: 2026-02-01

Beating a dead horse: investigating the continued use of ineffective assessment practices in modern education systems

10.11591/ijere.v15i1.35757
Mohammad Awad AlAfnan , Siti Fatimah MohdZuki , Shefa Mohammad AlAfnan
The study examines the persistence of outdated assessment practices in the education systems of Jordan, Malaysia, and Australia, utilizing the Dead Horse Theory as an interpretive lens. Despite ongoing educational reforms advocating for authentic, student-centered assessment models, traditional high-stakes and summative evaluations continue to dominate. The research adopts a qualitative multi-site case study approach, drawing data from semi-structured interviews, document analysis, and classroom observations. The 30 participants, including teachers, administrators, faculty, and policy analysts, were purposively selected across the three countries. Findings reveal three interconnected themes contributing to assessment stagnation: institutional inertia, cultural attachment to standardized metrics, and inadequate professional development. In Australia, systemic accountability pressures, such as National Assessment Program–Literacy and Numeracy (NAPLAN) and Australian Tertiary Admission Rank (ATAR) rankings, limit the innovation in assessment. In Jordan, the Jordanian High School General Examination (Tawjihi) exam significantly influences pedagogy and curriculum. In contrast, a dual reality prevails in Malaysia, with reform attempts often overshadowed by entrenched examination cultures. Teachers across all contexts expressed frustration with superficial policy changes and limited practical support, frequently engaging in performative compliance rather than genuine transformation. Applying the Dead Horse Theory highlights how education systems adopt symbolic or cosmetic reforms, ‘buying a stronger whip’ or ‘changing the rider’, instead of abandoning dysfunctional practices. The study concludes that meaningful reform requires structural and policy change, cultural shifts, and sustained teacher empowerment. The Dead Horse Theory thus serves as a powerful metaphor and diagnostic tool for identifying the illusion of progress and advocating for truly transformative educational assessment.
Volume: 15
Issue: 1
Page: 680-695
Publish at: 2026-02-01

Optimizing blood cell classification: evaluating feature dimensionality and validation strategies

10.12928/telkomnika.v24i1.27269
Ruaa H. Ali; Northern Technical University Al-Mallah , Marwa Mawfaq; Northern Technical University Mohamedsheet Al-Hatab , Maysaloon; Northern Technical University Abed Qasim
Manual blood cell classification is time consuming and may lead to inconsistent results. This study aims to assist pathologists in diagnosing hematological disorders using machine learning (ML) techniques for automated classification of blood cells in multi-color test images, distinguishing red blood cells (RBCs) and white blood cells (WBCs). Features were extracted using the InceptionV3 network, and several ML models were evaluated for classifying blood cells into eight categories. Two validation strategies: a 66%–34% train–test split and 20-fold cross-validation were applied. The effect of dimensionality reduction through principal component analysis (PCA) was also examined, reducing the feature space from 2,048 to 100 components. Among all models, support vector machine (SVM) achieved highest performance, with 93.4% accuracy and an area under the curve (AUC) of 0.996 without PCA, and 90.1% accuracy with an AUC of 0.991 after PCA. Although PCA slightly reduced accuracy, it improved computational efficiency. Overall, SVM provided the most accurate, stable, and generalizable classification results for automated blood cell analysis.
Volume: 24
Issue: 1
Page: 359-370
Publish at: 2026-02-01

Optimization and techno-economic analysis of hybrid renewable systems in Nigeria

10.12928/telkomnika.v24i1.27499
Lambe; Kwara State University Mutalub Adesina , Jamiu; Kwara State University Lawal , Olalekan; Kwara State University Ogunbiyi , Abdulwaheed; Kwara State University Musa , Bilkisu; Kwara State University Jimada Ojuolape , Monsurat; Kwara State University Omolara Balogun , Bashiru; Kwara State University Olalekan Ariyo
Rising electricity demand, fossil fuel depletion, and environmental concerns highlight the need for sustainable rural electrification. The Elenjere community in Kwara State, Nigeria, depends on costly diesel generation and limited grid access, creating an urgent demand for reliable and affordable alternatives. This study designs and optimizes a hybrid renewable energy system (HRES) for the community using hybrid optimization model for electric renewables (HOMER) Pro simulation. The proposed system combines photovoltaic (PV), wind turbines (WT), battery storage (BAT), inverter (INV), and a diesel generator (DG) as backup. Field data on load demand, solar radiation, and wind speed were used for realistic modeling. System performance was evaluated using levelized cost of energy (LCOE), net present cost (NPC), and system capital cost (SCC). Results show the PV/WT/BAT/INV/GEN configuration achieved the lowest LCOE of USD 0.455/kWh, an NPC of USD 2.98 million, and 86.2% renewable penetration, significantly reducing diesel use. Sensitivity analysis revealed that reducing battery costs and increasing PV capacity could lower the LCOE to USD 0.227–0.325/kWh. The study demonstrates how modest wind resources (4.19 m/s at 10 m) complement PV in low-wind regions while addressing inflation realism (25.5% discount rate, foreign exchange (FX) volatility). Future work will include dynamic control simulation and lifecycle analysis to enhance scalability and sustainability.
Volume: 24
Issue: 1
Page: 343-358
Publish at: 2026-02-01

Developing tuberculosis drug information system using a throwaway prototype: Udayana Hospital case study

10.12928/telkomnika.v24i1.27073
Rini; Udayana University Noviyani , Luh Arida Ayu; Udayana University Rahning Putri , I Nyoman; Udayana University Gede Budiana , Luh; Udayana University Gede Astuti , I Made; Udayana University Oka Widyantara , Ida Ayu; Udayana University Alit Widhiartini , Ida Bagus; Universitas Udayana Teaching Hospital Nyoman Maharjana , Sagung; Udayana University Chandra Yowani , I Gusti Ngurah; Udayana University Anom Cahyadi Putra
Tuberculosis (TB) remains a major health problem in Indonesia, and efficient drug management is essential to ensure continuous treatment and prevent resistance. At Udayana University Hospital, manual recording and reporting often caused delays and errors, while integration with the National Tuberculosis Information System (SITB) was limited. This study developed a TB drug information system using the throwaway prototype model to address these challenges and enhance hospital workflow efficiency. The system implementation demonstrated measurable improvements in operational performance, with data entry errors reduced by 83% and the average recording time per patient shortened by 35% compared to the previous manual process. User feedback confirmed improved usability, accuracy, and reliability in supporting hospital workflows and timely reporting. In conclusion, the proposed system effectively improved the accuracy and efficiency of TB drug management while addressing hospital level operational challenges. This study demonstrates the applicability of the throwaway prototype model in healthcare information-system development and provides insights for scaling and integration with national TB programs.
Volume: 24
Issue: 1
Page: 49-70
Publish at: 2026-02-01

Optimizing planar micro-transformer performance

10.12928/telkomnika.v24i1.27276
Tahar; University of Science and Technology of Oran USTO-MB Alili , Fatima Zohra; University of Science and Technology of Oran USTO-MB Medjaoui , Azzedine; Nour El Bachir University Center Hamid , Abderahim; National Polytechnic School of Oran Maurice Audin Mokhefi , Yacine; Nour El Bachir University Center Guettaf , Hocine; Nour El Bachir University Center Guentri
Faced with new requirements for isolated switching power supplies with high efficiency and power density, planar transformer technology has emerged as a serious alternative to wound components. The work presented in this paper addresses the issue of developing planar transformers in the context of low-power electronics, where volume and weight constraints are paramount. The flat shape of the coils and the interlacing of the windings do not allow for control of magneto-thermal phenomena. Although scientific literature offers numerous simulation tools to aid in the design of such transformers, it must be noted that they do not allow for a rigorous account of these phenomena. In this paper, methods and a geometric and electrical sizing tool in planar technology are used for the design of flyback direct current to direct current (DC/DC) converters. Methods for dimensioning and estimating temperature rise are presented and compared in order to develop calculation tools for design purposes. This study enabled us to observe the distribution of the magnetic field, the role of ferrite, the distribution of currents and voltages in the coils, and the distribution of temperature in our device. It should be noted that conductive and convective heat transfer processes were considered in steady state.
Volume: 24
Issue: 1
Page: 313-328
Publish at: 2026-02-01

Distorted born iterative method reconstruction in high-noise environments using KNN-based machine learning denoising

10.12928/telkomnika.v24i1.27401
Nguyen Quang; Vietnam Academy of Science and Technology Huy , Nguyen Truong; Vietnam Academy of Science and Technology Thang
Ultrasound tomography reconstruction using the distorted born iterative method (DBIM) is sensitive to measurement noise, which degrades image fidelity and slows convergence. We propose integrating a k-nearest neighbors (KNN) denoising step within each DBIM iteration to suppress noise adaptively while preserving structural edges. Simulations with a circular cylindrical target and transmit/receive geometry (12×12) were conducted at signal-to-noise ratio (SNR) levels of 6 dB, 3 dB, and 1 dB. Compared with conventional DBIM employing Tikhonov regularization, the KNN-filtered DBIM reduces normalized reconstruction error by up to 57.2% at 1 dB and shows faster error decay over successive iterations. The method is training-free, computationally lightweight, and preserves fine structural details. These properties make KNN-filtered DBIM attractive for noisy or resource-constrained imaging environments. Future work will validate the approach on experimental data and explore adaptive K selection.
Volume: 24
Issue: 1
Page: 206-218
Publish at: 2026-02-01

Comparison methods in a decision support system for determining JavaScript frameworks

10.12928/telkomnika.v24i1.27241
Rofif Aghna; Sunan Kalijaga State Islamic University Yogyakarta Fakhri Diya , Agus; Sunan Kalijaga State Islamic University Yogyakarta Mulyanto
The selection of an appropriate JavaScript framework in web-based software development often leads to errors when the chosen framework is incompatible with the design. The ability to make decisions quickly, accurately, and precisely is therefore a key factor in successful software design. Addressing this need, the present study analyzes the accuracy of the analytical hierarchy process-weight product (AHP-WP), analytical hierarchy process-technique for order preference by similarity to ideal solution (AHP TOPSIS), and analytical hierarchy process-simple multi-attribute rating technique (AHP-SMART) methods in determining the most suitable JavaScript framework according to the International Organization for Standardization (ISO) 9126 classification. To evaluate accuracy, the mean absolute percentage error (MAPE) was applied as a cost function to measure the error percentage of each method. The analysis was conducted on ten popular JavaScript frameworks selected based on their popularity and usage trends. The evaluation considered six quality criteria: functionality, reliability, usability, efficiency, maintainability, and portability. The results show the ranking of each alternative for all methods. Accuracy measurement using MAPE revealed that the AHP-WP method produced the smallest error percentage (37.77645%), compared to AHP-TOPSIS (47.12566%) and AHP-SMART (46.4041%). Accordingly, the AHP-WP method is recommended for decision support system (DSS) development.
Volume: 24
Issue: 1
Page: 95-110
Publish at: 2026-02-01

Improved disturbance rejection of induction motor drives using PI–VGSTASM control and torque disturbance estimation

10.12928/telkomnika.v24i1.27459
Ngoc; Industrial University of Ho Chi Minh City Thuy Pham , Duc; Industrial University of Ho Chi Minh City Thuan Le , Thanh; Industrial University of Ho Chi Minh City Tinh Pham
Induction motor (IM) drives often suffer performance degradation under load variations and parameter uncertainties when using conventional proportional–integral (PI)- based field-oriented control (FOC). To address these issues, this study proposes a composite control framework combining a PI regulator in the speed loop with a Lyapunov-based variable-gain super twisting algorithm (VGSTA) for the inner current loops to enhance robustness against disturbances and parameter variations. In addition, a load torque observer is developed to estimate unknown disturbances in real time and generate an equivalent compensation current, thereby improving disturbance rejection. Unlike existing approaches, the proposed strategy achieves a balance between simplicity, robustness, and smooth control by integrating classical PI control with higher-order sliding mode techniques and adaptive observer dynamics. Furthermore, the controller and observer gains are optimized using particle swarm optimization (PSO) to improve convergence and reduce overshoot under uncertain conditions. Simulation results demonstrate accurate speed regulation, effective chattering reduction, and reliable operation under load and parameter variations. Due to its low computational complexity and high robustness, the proposed method is well suited for industrial drive systems and electric mobility applications.
Volume: 24
Issue: 1
Page: 329-342
Publish at: 2026-02-01

Energy-efficient AI-enhanced secure routing for protecting IoT networks from advanced attacks

10.11591/ijeecs.v41.i2.pp731-739
Leelavathi R. , Vidya A.
This paper proposes artificial intelligence-enhanced secure routing (AIRS), a lightweight AI-enhanced secure routing protocol for internet of things (IoT) networks operating under advanced routing attacks. Unlike existing approaches that treat intrusion detection and routing separately, AIRS tightly integrates anomaly scoring into trust-aware routing decisions using a compact random forest model designed for constrained nodes. The anomaly detector is trained offline on simulated IoT traffic features and deployed for real-time inference during routing. Extensive Cooja simulations demonstrate that AIRS improves intrusion detection accuracy and packet delivery while reducing energy consumption compared to secure-RPL and trust-LEACH. The current validation is limited to simulation environments, and real-world testbed evaluation is left for future work.
Volume: 41
Issue: 2
Page: 731-739
Publish at: 2026-02-01
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