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31,207 Article Results

Hybrid AC/DC and conventional AC house efficiency for net zero energy homes

10.11591/ijape.v15.i3.pp1458-1474
Taufik Taufik , Heru Nurwarsito , Tyler Bury , Rahman Azis Prasojo
The transition toward net-zero energy homes (NZEH) requires residential electrical systems that can efficiently integrate renewable generation, battery storage, and both AC and direct current (DC) loads. Although DC and hybrid AC/DC residential systems have been widely studied, limited work directly compares hybrid AC/DC and conventional AC house architectures under different grid standards, power levels, and AC/DC load ratios while considering DC bus losses. This study presents a MATLAB/Simulink-based steady-state efficiency comparison between hybrid AC/DC and conventional AC residential electrical systems. Twelve models were developed, consisting of six hybrid AC/DC and six conventional AC configurations under 120 V/60 Hz and 230 V/50 Hz standards. The models include PV generation, battery storage, inverter, AC/DC converter, multiple-input single-output (MISO) converter, and line-resistance effects. Results show that hybrid AC/DC houses achieve 4-11% higher efficiency than conventional AC houses when DC load demand remains below approximately 1.5-2.0 kW, mainly due to reduced conversion stages. At higher DC load levels, the efficiency advantage decreases because of copper losses in the 48 V DC bus. Increasing the DC bus voltage to 60 V reduces current-related losses and extends the efficient operating range. These findings indicate that hybrid AC/DC distribution is most suitable for residential applications with low-to-moderate DC demand, such as lighting, electronics, communication devices, and other DC-compatible appliances. The main contribution of this study is identifying the operating range, efficiency limit, and practical design implications of hybrid AC/DC residential distribution for future NZEH applications.
Volume: 15
Issue: 3
Page: 1458-1474
Publish at: 2026-09-01

A deep learning approach for electric vehicle battery charging duration estimation using IoT

10.11591/ijape.v15.i3.pp1375-1385
Tumuluri Kanthimathi , Adhimoolam Sairam , Durairaj Chandrakala , Moorthy Radhika , Bichagal Shadaksharappa , Pitchai John Britto , Minakshi Sanadhya , Balasubramanian Suganya , Chelliah Srinivasan
The rapid development of electric vehicles (EVs) has increased the desire for precise charging duration estimate to enhance charging station administration and elevate customer experience. This research presents a deep learning (DL) architecture that uses internet of things (IoT)-enabled data to categorise charging duration into short, medium, and long classifications. The assessment dataset comprises many numerical and categorical variables affecting battery performance and charging behaviour, providing a thorough foundation for prediction. The system utilises a deep neural network (DNN) architecture with nonlinear transformations and regularisation techniques, trained with adaptive optimisation to provide durable convergence. Extensive experiments indicate that the proposed model achieves an overall accuracy of 99.26%, markedly improving traditional machine learning (ML) techniques. These results highlight the potential of DL to adeptly discern complex linkages in charging dynamics, providing dependable predictions for duration classification. The framework provides an advanced basis for implementation in smart charging infrastructures, facilitating effective scheduling, minimizing waiting times, and endorsing predictive maintenance measures. It enhances the reliability and efficiency of EV charging ecosystems with data-driven, IoT-enabled DL technologies.
Volume: 15
Issue: 3
Page: 1375-1385
Publish at: 2026-09-01

Real time fuzzy energy management of hybrid storage systems in DC microgrids with dynamic voltage restorer assisted power quality enhancement

10.11591/ijpeds.v17.i3.pp2197-2209
Yacine Benatallah , Abdelkrim Benali , Mabrouk Dahane , Somia Benali
This paper presents a real-time fuzzy logic-based energy management system (EMS) for a hybrid DC microgrid supplying a constant DC load and an AC sensitive load protected by a dynamic voltage restorer (DVR). The system integrates a 25-kW photovoltaic (PV) array, a 10-kW fuel cell (FC), a 15-kW battery energy storage system, and a 396 V supercapacitor bank. The EMS calculates the net power balance (ΔP = PPV - Pload), compares it with the states-of-charge (SoC) of the battery and supercapacitor, and dynamically allocates power references to each source. Fuzzy rules prioritize renewable generation, exploit the supercapacitor for fast transient compensation, and schedule the battery and fuel cell for medium- and long-term power balancing. The DVR acts as a series active power filter, injecting real power during sags and absorbing excess energy during swells, while the EMS maintains DC bus stability under fault conditions. Simulation results demonstrate enhanced DC bus voltage regulation, reduced battery cycling, efficient hydrogen utilization, and rapid recovery from voltage disturbances. The proposed strategy improves power quality and ensures continuous operation of sensitive loads, making it suitable for smart grid and renewable-based microgrid applications.
Volume: 17
Issue: 3
Page: 2197-2209
Publish at: 2026-09-01

Multi-objective planning of distributed resources (PV and SVC) with NSGA-II for radial networks: application to the IEEE 33-bus test system

10.11591/ijape.v15.i3.pp1243-1252
Hassane Ousseyni Ibrahim , Abdoul Malik Maman Issaka , Moussa Gonda , Arouna Oloulade , François-Xavier Fifatin
The quality of electricity supply in distribution networks is critically dependent on minimizing active power losses and ensuring voltage stability. This study proposes a unified multi-objective optimization approach for the simultaneous placement and sizing of a photovoltaic (PV) source and a static var compensator (SVC) in radial networks. The non-dominated sorting genetic algorithm II (NSGA-II) is employed as the robust methodology to generate the Pareto optimal front, effectively exploring the trade-offs between two conflicting objectives: active loss minimization and voltage profile improvement. Unlike sequential or single-unit optimization strategies, this joint optimization framework is the key novelty, leveraging the specific physical interaction between PV active power injection and SVC-based dynamic reactive support to maximize overall network efficiency. Simulations are performed on the standard IEEE 33-bus test system. The results demonstrate that the optimal and coordinated integration of a 0.97 MW PV system at bus 14 and a 1.32 MVAr SVC at bus 30 yields superior electrical performance. Specifically, the system achieves a substantial active power loss reduction of 62.53% and decreases the voltage deviation index from 0.117 p.u. to a minimum of 0.0169 p.u., confirming the effectiveness of the proposed NSGA-II approach for comprehensive distributed resource planning.
Volume: 15
Issue: 3
Page: 1243-1252
Publish at: 2026-09-01

Condition assessment of medium voltage cable insulation using leakage current and phase-resolved partial discharge

10.11591/ijape.v15.i3.pp1340-1350
Kamrai Janprom , Sittadach Morkmechai , Natchanun Prainetr , Supachai Prainetr
Reliable operation of medium-voltage distribution networks critically depends on the integrity of cross-linked polyethylene (XLPE) insulated cables. This paper proposes a diagnostic methodology that integrates leakage current (LC) measurement with phase-resolved partial discharge (PRPD) analysis to assess cable insulation condition. A MATLAB R2025 simulation model is first developed to emulate partial discharge (PD) signals superimposed on leakage current, providing preliminary validation of the proposed approach. The method is then experimentally verified using a 70 mm² XLPE cable rated at 16/20 (24) kV and tested in accordance with IEC 60502. Under applied high-voltage stress, leakage current and PD activity are measured, and insulation degradation is characterized using PRPD patterns. Both simulation and experimental results confirm that the proposed method reliably detects insulation defects and provides accurate condition assessment of XLPE cables. These findings demonstrate the potential of the method as a practical tool for supporting condition-based maintenance in medium-voltage power distribution systems.
Volume: 15
Issue: 3
Page: 1340-1350
Publish at: 2026-09-01

Impact of an SVC device on voltage and transient stability in power systems

10.11591/ijape.v15.i3.pp975-984
Makhlouf Chouki , Hicham Zaimen , Hassen Belila
The increasing complexity of modern electrical networks, driven by the expansion of transmission networks along with the increasing penetration of renewable-based generation, has intensified concerns regarding voltage control performance and rotor-angle stability. Flexible AC transmission system (FACTS) technology, particularly the shunt-connected static var compensator (SVC), offers effective solutions for enhancing system performance through dynamic reactive power support. This study examines the effect of SVC integration on voltage regulation performance as well as rotor-angle stability within electrical transmission networks. The study is conducted using MATLAB and the electrical network analysis toolbox (PSAT) on IEEE 5-bus, 14-bus, and 9-bus benchmark systems. Voltage stability performance is evaluated under transmission line outage conditions, while rotor-angle stability is assessed through critical clearing time (CCT) analysis during balanced three-phase faults. The simulation results demonstrate that the incorporation of an SVC considerably improves voltage profiles, reduces active and reactive power losses, and enhances system resilience under disturbed operating conditions. Furthermore, the SVC increases the critical clearing time and improves post-fault dynamic behavior, contributing to better preservation of generator synchronism. The presented results confirm that SVC-based compensation provides an effective and practical solution for strengthening both voltage control performance and rotor-angle stability reserves in power transmission systems.
Volume: 15
Issue: 3
Page: 975-984
Publish at: 2026-09-01

Biophysiological responses of premature infants in neonatal nursing care: a descriptive study of infant and maternal characteristics

10.11591/ijphs.v15i3.27051
Dwi Hastuti , Anggorowati Anggorowati , Zubaidah Zubaidah , Tri Nur Kristina , Siti Yuyun Rahayu Fitri
Preterm infants are physiologically vulnerable and require continuous cardiorespiratory and thermal monitoring during neonatal nursing care. Evidence describing physiological indicators in relation to infant maturity and maternal sociodemographic characteristics remains limited. This study aimed to describe physiological indicators (heart rate, respiratory rate, oxygen saturation, and temperature) among preterm infants and examine their associations with infant and maternal characteristics. An observational descriptive study was conducted from August to December 2025 among preterm infants (
Volume: 15
Issue: 3
Page: 726-736
Publish at: 2026-09-01

Impact of power cable modelling on switching transient overvoltage analysis in medium voltage motors

10.11591/ijape.v15.i3.pp1233-1242
A. Nisar Basha , N. Mahiban Lindsay
Precise electrical cable representation is crucial for examining surge transient overvoltages in medium voltage (MV) motor systems. These brief overvoltages, initiated by swift switching actions, may induce substantial insulation strain, equipment degradation, and potential system failures. This study explores the influence of different power cable modeling techniques on transient overvoltage characteristics in MV motors during switching operations. Various modeling techniques, such as aggregated parameter, spread parameter, and frequency-dependent models, are evaluated for their effectiveness in inward capturing transient phenomena. Simulation studies using industry-standard electromagnetic temporary (EMT) assessment instruments evaluate the effect of these simulation methods on voltage spikes, shape distortions, and rise times. The discoveries indicate that exact electrical wire depiction is pivotal in molding, fleeting reactions, emphasizing the significance of choosing suitable simulation methods for efficient insulation coordination and system protection. This research provides valuable guidance for power system engineers, helping them mitigate transient overvoltage risks and improve the reliability of MV motor applications. Also, this study demonstrates electrical cable simulation that can impact the advice and verdicts obtained from moderate voltage motor.
Volume: 15
Issue: 3
Page: 1233-1242
Publish at: 2026-09-01

Analysis of charge transport kinetics in photovoltaic based on FTO@TiO2@CdS:Cu²⁺@ZnS photoanode

10.11591/ijape.v15.i3.pp1064-1071
Thai Van Thanh , Nguyen Van Minh , Ho Minh Trung
This study examines charge-transport kinetics in TiO₂@CdS:Cu²⁺@ZnS quantum dot-sensitized solar cells, addressing a key research gap regarding how controlled Cu²⁺ incorporation simultaneously affects recombination dynamics and interfacial charge-transfer resistances. While previous works mainly emphasized optical improvements from Cu doping, the coupled effects on impedance characteristics and device performance remain insufficiently clarified. Cu-doped CdS quantum dots with concentrations ranging from 0 to 0.5 mol were synthesized via the SILAR method and protected with a ZnS passivation layer. Electrochemical impedance spectroscopy and I-V characterization were employed to quantify changes in Rct1, Rct2, Jsc, Voc, fill factor, and power conversion efficiency. The optimal Cu(0.2) device achieved 4.69% efficiency with a Jsc of 27.4 mA/cm², reflecting enhanced charge transport, reduced recombination, and improved light absorption. The findings reveal the previously underexplored dual role of Cu doping in tuning both optical and electronic properties. Furthermore, they identify the threshold at which excessive Cu leads to recombination-dominated losses and structural degradation. This work establishes a clearer mechanistic basis for engineering high-performance quantum absorber architectures in next-generation solar cell technologies.
Volume: 15
Issue: 3
Page: 1064-1071
Publish at: 2026-09-01

Structural and behavioral determinants of HIV among Indonesian MSM

10.11591/ijphs.v15i3.26988
Neila Sulung , Adi Cahya Murfi , Efriza Efriza , Nurdin Nurdin , Cici Apriza Yanti
HIV prevalence among men who have sex with men (MSM) remains disproportionately high in Indonesia. While behavioral risk factors have been widely studied, evidence integrating structural determinants remains limited. This study examined the role of structural and behavioral factors associated with HIV status among MSM in Jambi City, Indonesia. A cross-sectional study was conducted among 60 MSM recruited using non-probability sampling due to the hidden nature of the population. Data were collected using validated structured questionnaires and analyzed using multivariable logistic regression. Fifty percent of respondents were HIV-positive. Low educational attainment emerged as an independent structural determinant of HIV status (AOR = 5.51; 95% CI: 1.14-26.49), whereas behavioral factors showed significant crude associations but lost significance after adjustment. HIV vulnerability among MSM is shaped by structural inequalities beyond individual behaviors. Structural-focused interventions are essential to strengthen HIV prevention strategies in Indonesia.
Volume: 15
Issue: 3
Page: 640-647
Publish at: 2026-09-01

Microplastic exposure in anchovies: baseline evidence from small-island waters of Indonesia

10.11591/ijphs.v15i3.27108
Veronika Amelia Simbolon , Erpina Santi Meliana Nadeak , Demsa Simbolon , Ristina Rosauli Harianja
Microplastics are emerging contaminants in aquatic environments and may enter human exposure pathways through seafood consumption. However, baseline exposure data for small pelagic fish in small-island settings remain limited, particularly in Indonesia. Anchovy (Stolephorus spp.), which is commonly consumed whole, may represent a direct dietary exposure pathway. This study aimed to quantify and characterize microplastic contamination in anchovy collected from Dendun Island waters. A descriptive cross-sectional study was conducted in 2025 using 100 anchovy samples obtained from local catches. Microplastics were extracted using oxidative digestion followed by density separation, filtration, and stereomicroscopic observation. Data were analyzed descriptively. A total of 109 microplastic particles were identified, with a mean abundance of 1.09 particles per individual. Fibres dominated (67.0%), followed by films (20.2%) and fragments (12.8%). Various colours were observed, indicating heterogeneous particle characteristics. This study provides baseline evidence of microplastic contamination in anchovy from a small-island coastal setting, highlighting its potential as a dietary exposure pathway. These findings support the need for routine monitoring and strengthened plastic pollution control strategies to protect seafood safety and public health.
Volume: 15
Issue: 3
Page: 860-867
Publish at: 2026-09-01

Association between exclusive breastfeeding and stunting among toddlers in a high-burden rural community of South Central Timor: a cross-sectional study

10.11591/ijphs.v15i3.26943
Roslin E. M. Sormin , Emanuel Gerald Alan Rahmat
This cross-sectional study assessed the relationship between exclusive breastfeeding and stunting among toddlers in Batuputih, South-Central Timor, East Nusa Tenggara, Indonesia. Conducted in July 2025, it involved 52 children aged 6-59 months using total sampling. Exclusive breastfeeding history was obtained through caregiver interviews and verified with health records to reduce recall bias. Height-for-age z-scores were measured using WHO standards, and data were analyzed with Fisher’s exact test and penalized logistic regression with Firth correction to address the small sample size. Stunting prevalence was 59.6%, while exclusive breastfeeding coverage reached 82.7%. All toddlers who were not exclusively breastfed were stunted. Regression analysis confirmed a strong protective effect of exclusive breastfeeding against stunting (OR 0.05; 95% CI 0.003-0.92; p = 0.012), which remained significant after adjusting for birth weight, sex, recent illness, and maternal education. These findings highlight exclusive breastfeeding as a critical protective factor in high-burden rural settings. Yet, the persistence of stunting despite high coverage underscores the need for integrated strategies at the primary health-care and district levels. Strengthening breastfeeding counseling must be complemented by maternal nutrition, infection prevention, and sanitation improvements within broader stunting prevention frameworks tailored to rural Timorese communities.
Volume: 15
Issue: 3
Page: 745-752
Publish at: 2026-09-01

Modeling and implementation of a dual-mode emulator for line distance protection based on minimum line reactance

10.11591/ijape.v15.i3.pp1327-1339
Yassine El Asri , Abdellah Lassioui , Hassan El Fadil , Anwar Hasni , Marouane El Ancary , Hafsa Abbade
Advances in power system protection and the increasing complexity of electrical networks have created a growing need for flexible and cost-effective platforms for testing and validating protection algorithms. However, academic laboratories still face a lack of accessible experimental platforms allowing researchers to implement and evaluate new protection strategies under realistic conditions. This gap is becoming increasingly significant with the emergence of artificial intelligence and data-driven techniques, which require flexible environments for development, testing, and experimental validation. To address this limitation, this work presents the modeling and implementation of a dual-mode emulator for minimum reactance distance protection of overhead transmission lines, operating in both real-time and offline modes. The proposed system acquires and processes voltage and current signals to determine the minimum line reactance used for fault detection and distance estimation. The developed algorithm is evaluated through simulated fault scenarios under different operating conditions. Results demonstrate reliable fault detection and consistent fault-distance estimation. The dual-mode architecture enables both offline analysis of recorded signals and real-time algorithm evaluation. The proposed emulator therefore provides a practical, low-cost academic platform for research, training, and experimental validation of conventional and emerging protection strategies.
Volume: 15
Issue: 3
Page: 1327-1339
Publish at: 2026-09-01

Physical-maturation with health education on the incidence of anemia among adolescents who married at a young age

10.11591/ijphs.v15i3.26734
Desta Ayu Cahya Rosyida , Nyna Puspita Ningrum , Nina Hidayatunnikmah , Solichatin Solichatin
Physical maturity and the incidence of anemia in adolescents who marry at a young age have an impact on the biological and physiological unpreparedness of the adolescent body that is not yet fully mature against the increased risk of anemia, especially in early pregnancy. The solution in this paper provides health education and increased awareness of the dangers of early marriage to physical health, especially the risk of anemia. Nutrition intervention programs and iron supplements for adolescent girls. The purpose of this study was to evaluate the effect of physical maturity on the incidence of anemia in adolescents who marry at a young age. Quantitative research method with quasi-experimental pre-post test design with control group. The population of the study was 54 young women who were married at a young age. The sample size of 44 respondents. Sampling was done using the accidental technique. Data were analyzed using the Chi-square test. The difference in mean hemoglobin levels in adolescents before and after the intervention was analyzed using the paired t-test. Based on the results of statistical test, a p-value of 0.000 was obtained (p-value ≤ 0.05), which indicated that the difference was statistically significant.
Volume: 15
Issue: 3
Page: 777-786
Publish at: 2026-09-01

Advanced materials for crosstalk and power optimization in TSV-enabled 3D ICs

10.11591/ijict.v15i3.pp1143-1153
Tappeta Chinna Sanjeeva Rayudu , Merrin Prasanna Nagadasari
The continued scaling of semiconductor devices has exposed the limitations of traditional two-dimensional (2D) integrated circuit architectures. To address performance bottlenecks and interconnect constraints, the industry is increasingly adopting three-dimensional (3D) integration technologies. through-silicon vias (TSVs) are a fundamental enabler of this advancement, facilitating vertical signal transmission between stacked silicon layers. Despite their benefits, TSVs face critical challenges related to crosstalk, power dissipation, and signal delay issues that are especially pronounced in dense via arrays. This research explores the use of multi-walled carbon nanotube (MWCNT) based TSVs insulated with different dielectric liners, including silicon dioxide (SiO₂), PPC, polyimide, and benzocyclobutene (BCB). HSPICE simulations are used to evaluate crosstalk noise, power dissipation, power delay product (PDP), and energy delay product (EDP) across varying TSV pitches. Among the materials studied, BCB demonstrates the most promising results. Specifically, MWCNT TSVs with BCB at a 10,000 μm pitch achieve up to 58% reduction in functional crosstalk, 75% in dynamic crosstalk, 78% in power dissipation, and a 52% improvement in PDP compared to single-walled CNT (SWCNT) based TSVs. These findings confirm the suitability of combining MWCNT cores with low-k BCB liners for enhancing performance, energy efficiency, and signal reliability in advanced 3D integrated circuits.
Volume: 15
Issue: 3
Page: 1143-1153
Publish at: 2026-09-01
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