cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Veri Hardinansyah Dja'far
Contact Email
admin@transpublika.co.id
Phone
+6281234560500
Journal Mail Official
admin@transpublika.co.id
Editorial Address
Bumi Royal Park Blok A-14 Bumiayu, Kedungkandang, Malang, East Java, Indonesia
Location
Kota malang,
Jawa timur
INDONESIA
International Journal on Advanced Technology, Engineering, and Information System (IJATEIS)
Published by Transpublika Publisher
ISSN : -     EISSN : 28285425     DOI : https://doi.org/10.55047/ijateis
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Industrial & Manufacturing Engineering
International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) is an international peer-reviewed journal dedicated to interchange for the results of high-quality research in all aspect of technology, science, engineering and information system. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. Scope: The journal scopes include (but not limited to) the followings: Science: Bioscience & Biotechnology, Agriculture, Chemistry & Food Technology, Environmental, Health Science, Mathematics & Statistics, Applied Physics. Engineering: Architecture, Chemical & Process, Civil & structural, Electrical, Electronic & Systems, Geological & Mining Engineering, Mechanical & Materials. Information Science, Artificial Intelligence, Computer Science, E-Learning & Education Learning, Multimedia, Knowledge Technology, Information System, Internet & Mobile Computing, Machine Learning.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 147 Documents
 11   12   13   14   15 
ECA-MSNet: A Multi-Scale Residual U-Net with Efficient Channel Attention for Real-World Image Denoising Nasrat, Abdul Fatah; Çağlikantar, Tuba
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1710

Abstract

Real‑world photographs contain complex, sensor‑dependent noise that simultaneously obscures subtle high‑frequency textures and broad contextual cues, making denoising a persistent challenge in low‑level vision. The goal of this study is to devise a single, computationally balanced model that removes such heterogeneous noise while faithfully preserving both fine detail and global structure. We introduce ECA‑MSNet, a dual‑branch convolutional architecture designed around this objective. The Residual Detail Estimation Branch reconstructs delicate textures that are most susceptible to corruption, whereas the Multi‑Scale Feature Restoration Branch—a U‑Net enhanced with Attention‑based Multi‑Scale Residual Blocks and lightweight Efficient Channel Attention (ECA)—captures coarse‑to‑fine contextual information. A Dual Residual Fusion Module adaptively merges the two outputs, and a final Refine Block suppresses residual artifacts, yielding the restored image. Extensive experiments on the SIDD and PolyU real‑noise benchmarks validate the effectiveness of the proposed method. ECA‑MSNet achieves 39.41 dB / 0.9109 SSIM on SIDD and 37.76 dB / 0.9574 SSIM on PolyU, outperforming strong baselines such as DnCNN, FFDNet, CBDNet, and CycleISP. Ablation studies further confirm that each architectural component—dual‑branch design, multi‑scale residual blocks, channel attention, and fusion strategy—contributes measurable gains. These results demonstrate that ECA‑MSNet sets a new state of the art for real‑world image denoising, offering a favorable trade‑off between accuracy and efficiency and providing a versatile foundation for other low‑level vision tasks.
Surveying the IT Infrastructure Challenges in Afghanistan Frugh, Qurban Ali; Naseri, Mohammad Fahim
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1717

Abstract

The rapid advancement of technology has brought significant transformations across various sectors globally, including in Afghanistan. However, the country's Information Technology (IT) infrastructure remains underdeveloped, particularly in key areas such as health, e-commerce, telecommunications, e-governance, academic research, education, and culture. This research paper analyzes the challenges faced by the IT infrastructure in Afghanistan. In January 2024, there were 7.88 million internet users in Afghanistan, representing 18.4% of the total population. The aim of this study is to identify the current challenges of IT infrastructure and assess their impact on users' access to the digital world. A systematic review of scientific, research, and administrative documents was conducted to gather data. Quantitative analysis of these documents reveals that only a small segment of the population has access to technology, and their usage is primarily limited to social media and virtual spaces. The study found that Afghanistan's IT infrastructure is weak and insufficient to support the development of e-governance, e-commerce, banking, healthcare, and educational systems. Several factors contribute to these challenges, including slow internet speeds, high costs, and limited access to technology compared to neighboring countries. Based on these findings, the paper proposes potential solutions to improve the IT infrastructure in Afghanistan, with a focus on addressing the identified weaknesses and ensuring broader access to digital services.
Effect of Mercerisation Soaking Time and Concentration on Tensile Properties of Pentaclethra macrophylla Fibre Reinforced Composite for Automotive Application Okechukwu, Chikelu Peter; Ekene, Ilechukwu Anthonia; Chimezie, Anyaora Sunday; Amaechi, Okafor Anthony; Ndubuisi, Okoye Chibuzor
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1735

Abstract

Lately, there has been a growing global awareness about the negative impact of synthetic fibres and the need for replacement with eco-friendly, plant-based natural fibres. However, the hydrophilic nature of these natural fibres can create compatibility issues with various matrices, which limits their use. This has sparked an increased research interest in finding an effective mercerization process to modify the surface of these plant-based fibres, ultimately enhancing their mechanical properties. In this study, fruit fibres from the Pentaclethra macrophylla plant was processed, experimented with NaOH soaking times of 1 hour, 3 hours, and 5 hours, along with treatment concentrations of 2%, 5%, and 8% by weight. The tensile properties of the composite made from these processed fibres were examined, and statistical analysis using one-way analysis of variance (ANOVA) and regression in Minitab software was conducted. The results showed a 21% decrease in tensile strength and a 32% increase in elastic modulus as the soaking time increased from 1 hour to 5 hours. Additionally, increasing the NaOH treatment concentration from 2% to 8% led to enhancements in both tensile strength and elastic modulus. This study shows that the tensile properties of the fiber composite are greatly impacted by both the soaking time and NaOH concentration. Therefore, optimising the parameters of the mercerisation process can enhance these properties, making the Pentaclethra M. fibre-reinforced composite a viable option for automotive applications.
Sound Source Localization: A Survey Çalışkan, Hatice Tombul; Karacan, Hacer
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1741

Abstract

In modern defense systems, there is a growing demand for technologies that detect and track threats without revealing the observer’s position. Sound Source Localization (SSL) fulfills this requirement by passively estimating the position of sound-emitting targets using spatially distributed microphone arrays. Unlike active sensing systems, SSL operates solely on incoming acoustic signals, extracting location information from time delays, amplitude differences, or phase shifts. This survey provides a structured review of recent studies, covering both classical SSL methods (e.g., TDOA, GCC-PHAT) and artificial intelligence (AI)-based models (e.g., CNNs, RNNs). Classical techniques offer low computational complexity and reliable spatial resolution under ideal conditions but often degrade in noisy or reverberant environments. In contrast, AI-based approaches exhibit higher adaptability and robustness to environmental variability, though they require substantial labeled data and computational resources. Moreover, the performance of SSL systems is closely tied to microphone array geometry: while linear arrays are simple and widely used, circular, spherical, and irregular configurations provide better angular coverage and enable 3D localization. The review concludes that SSL performance is highly application-dependent, and no single method is universally superior. Hybrid approaches that combine signal processing with machine learning, as well as adaptive array designs, emerge as promising directions for improving SSL accuracy, robustness, and scalability in real-world scenarios. The comparative analysis result also underscores that optimal SSL design hinges on a trade-off between algorithmic complexity, environmental conditions, and array geometry, with hybrid methods offering a viable path forward.
VISSIM Modeling and Simulation to Optimize the Performance of the Blimbing Ngoro Three-Way Intersection in Jombang Regency Saputri, Firda Auliya Ajie; Patriadi, Andi; Tjendani, Hanie Teki
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1742

Abstract

This research aims to analyze the existing conditions of the intersection and provide performance improvement solutions through modeling and simulation using PTV VISSIM software. Data was obtained through field surveys, interviews with stakeholders, and related literature studies. The analysis was conducted with reference to the Indonesian Road Capacity Guidelines (PKJI) 2023 to measure performance parameters such as degree of saturation, queue length, and average delay. The results showed that the existing condition of the Blimbing Three Intersection was at the LOS D level of service, with an average delay of 30.99 seconds and a queue length of 26.53 meters, reflecting less than optimal traffic performance. Based on the ARRB analysis, it is necessary to control the intersection by installing traffic signals to improve safety and efficiency. Three proposed scenarios were tested using VISSIM simulation, where Proposal 1 produced the best performance with a delay of 20.34 seconds and a queue of 10.37 meters (LOS C). Proposal 2, with a three-phase arrangement, actually worsened conditions with a delay of 54.72 seconds and a queue of 84.44 meters (LOS D). Meanwhile, Proposal 3, which combines three phases and the left-turn on-ramp feature (LTOR), gives almost as good results as Proposal 1, with a delay of 24.05 seconds and a queue of 16.28 meters, remaining at LOS C. Therefore, Proposal 3 is considered the most effective solution as it is able to improve traffic flow without neglecting the safety aspect.
Identification of Variables Affecting the Number of Traffic Accident Casualties (Intersections (4 and T) in Yogyakarta) Dewi, Ari Tri Kusuma; Siregar, Martha Leni; Soehodho, Sutanto
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1809

Abstract

Yogyakarta has recorded a relatively high rate of traffic accidents, with a consistent trend throughout 2024. This condition is influenced by high traffic density, a consequence of increased activity in the education, tourism, and economic sectors, despite the implementation of various mitigation efforts. The aim of this study is to identify the variables that potentially influence the number of traffic accident casualties at (4 and T) intersections in Yogyakarta. The study utilized initial data collection through CCTV recordings at accident locations, data from the Integrated Road Safety Management System (IRSMS), Google Street View observations, and multiple linear regression analysis combined with variable reduction based on Variance Inflation Factor (VIF) values. The results indicate that eight variables significantly influence the number of traffic accident casualties in Yogyakarta. However, limited Smart City CCTV coverage restricts comprehensive analysis. Future research requires expanded intersection monitoring and extended study scope to enhance validity and representation.
The Influence of Road Geometry on the Number of Accidents at Curves: A Study on the Variability of Hilliness and Bendiness Putri, Atissa Dwi; Siregar, Martha Leni; Soehodho, Sutanto
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1816

Abstract

This study examined the influence of roadway geometry on traffic safety, focusing on the effects of hilliness and bendiness along a 9.28 km road segment in West Sumatra, Indonesia. Geometric data, including elevation and curvature, were collected using the GeoTracker application and processed with a Python-based sliding window segmentation of 1 km length and 50% overlap, resulting in 19 analysis segments. Traffic accident data were obtained from official police reports and included the number of crashes, minor injuries, serious injuries, and fatalities for each segment. Multivariate Analysis of Variance (MANOVA) was performed to evaluate the simultaneous effects of hilliness and bendiness on the crash variables. The results showed that hilliness significantly influenced the total number of accidents, while bendiness significantly affected the occurrence of serious injuries. Hilliness explained approximately 80% of the variance in accident frequency, and bendiness contributed substantially to variations in serious injuries. Although neither hilliness nor bendiness showed significant effects on minor injuries and fatalities, both factors exhibited positive trends in relation to increasing crash severity. The findings demonstrated that vertical elevation changes and horizontal curvature contributed significantly to traffic accident risks. The study suggested that incorporating these geometric parameters into road design, safety assessments, and targeted interventions could help reduce accident occurrences, particularly in mountainous and curvilinear roadway segments.
Time and Cost Analysis Using the Fast Track Method in the ITS Bank Building Construction Project Rudiansyah, Rudiansyah; Tjendani, Hanie Teki; Puspanantasari, Erni
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 3 (2025): AUGUST
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i3.1824

Abstract

Higher education institutions are required to provide a conducive learning environment to produce excellent and competitive human resources. One of the keys supporting factors is the availability of adequate infrastructure, including accessible financial services within the campus. Institut Teknologi Sepuluh Nopember (ITS) responded to this need by constructing a banking building as part of its efforts to create an integrated digital campus ecosystem. However, the project faced significant delays from the original schedule, prompting the need for acceleration strategies that maintain both cost and quality. One such strategy is the Fast Track method, which allows construction activities to be carried out in parallel to shorten the project duration. This study aims to analyze the project’s time and cost using the Fast Track method, a project acceleration technique that enables activities to be performed simultaneously to reduce execution time. The research was conducted on the ITS Banking Building construction project, which has a contract value of Rp 11,871,000,000 and a planned duration of 120 calendar days. The analysis involved identifying critical activities using the Critical Path Method (CPM) and then rescheduling using the Fast Track approach to calculate the optimal time and cost. The results of the study show that the optimal project duration after applying the Fast Track method is 112 working days, which represents a 6.7% reduction from the original 120 days. The optimal cost after acceleration using the Fast Track method is Rp 9,696,512,763, representing a 9.3% reduction from the initial cost of Rp 10,694,683,195pa.
Analysis of the Costs of Traffic Accidents in the City of Dili, Timor-Leste Guterres, Joao Antonio; Kusuma, Andyka; Siregar, Martha Leni
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1837

Abstract

The Value of Statistical Life (VSL) of residents in Dili City, Timor-Leste is examined in this research using the Willingness to Pay (WTP) method to determine how the public values reducing the risk of fatal traffic accidents. Data collection involved conducting structured face-to-face interviews in various offices and schools. Each respondent was presented with three hypothetical traffic safety programs offering risk reductions of 20%, 50%, and 65%. The associated WTP amounts were USD 12, USD 15, and USD 20, respectively. VSL was computed by dividing WTP by the corresponding percentage of risk reduction. The data were further analyzed using a binary logistic regression model, executed in R Studio software, to estimate the probability of WTP based on socioeconomic variables such as gender, age, education level, occupation, income, and cost of the proposed intervention. The regression results demonstrated a statistically significant and negative relationship between the program’s cost and the willingness to pay, indicating that greater expenses lowered public acceptance. The average individual VSL was calculated at USD 524.83 for female respondents and USD 398.07 for males. Using official records of 102 traffic-related fatalities in Dili during the 2022–2024 period, the Social Value of Statistical Life (SVSL) was estimated at USD 17,830.70 for females and USD 13,524.02 for males. Based on these findings, six policy recommendations are proposed: improved road infrastructure, strengthened law enforcement, public safety education, clearer traffic signage, adequate street lighting, and enhanced pedestrian protection.
Assessment of Existing Green Building Implementation in Government Buildings toward Energy Efficiency Guntaryono, Guntaryono; Prakasa, Darmansjah Tjahja; Rolalisasi, Andarita; Affandy, Nur Azizah
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 3 (2025): AUGUST
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i3.1982

Abstract

Government buildings represent a major portion of public-sector energy consumption and contribute substantially to greenhouse gas emissions due to intensive cooling, lighting, and suboptimal building envelopes. In many developing countries, including Indonesia, the majority of government facilities were constructed prior to the adoption of green building regulations, resulting in poor energy performance and elevated operational costs. This study aims to critically assess the energy performance of an existing government building and to identify practical retrofit strategies based on Green Building principles that can support national carbon reduction commitments and Sustainable Development Goals. A mixed-methods case study was conducted on the East Java Public Works and Human Settlements Office Building (6,000 m²; three stories; pre-regulation construction). Data collection combined field inspection, structured interviews with facility managers, and policy-document review. The evaluation proceeded through four stages: calculation of Energy Use Intensity (EUI), disaggregation of energy consumption by end-use, performance assessment of the building envelope, ventilation, and lighting, and compliance analysis against national standards, Greenship GBCI criteria, and relevant SDG targets. The results indicate that cooling, lighting, and deficiencies in the building envelope account for the largest share of total energy consumption. Consequently, the most effective retrofit strategies involve improving the thermal performance and insulation of the building envelope, replacing conventional lighting with energy-efficient systems, and optimizing HVAC operations through equipment upgrades and better control management. This study provides an evidence-based framework to guide public retrofit policies and contributes valuable empirical insights to the broader discourse on energy efficiency in government buildings.

Page 14 of 15 | Total Record : 147

 11   12   13   14   15 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 3 (2025): AUGUST Vol. 4 No. 2 (2025): MAY Vol. 4 No. 1 (2025): FEBRUARY Vol. 3 No. 4 (2024): NOVEMBER Vol. 3 No. 3 (2024): AUGUST Vol. 3 No. 2 (2024): MAY Vol. 3 No. 1 (2024): FEBRUARY Vol. 2 No. 4 (2023): NOVEMBER Vol. 2 No. 3 (2023): AUGUST Vol. 2 No. 2 (2023): MAY Vol. 2 No. 1 (2023): FEBRUARY Vol. 1 No. 4 (2022): NOVEMBER Vol. 1 No. 3 (2022): AUGUST Vol. 1 No. 2 (2022): MAY Vol. 1 No. 1 (2022): FEBRUARY More Issue