cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Andri Pranolo
Contact Email
andri@ascee.org
Phone
+6281392554050
Journal Mail Official
aet@ascee.org
Editorial Address
Office 1 ASCEE Secretariat RUMAH KOTAK Jl. Kranginan, Mertosanan Kulon, Potorono, Kec. Banguntapan, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55196, Indonesia Office 2 ASCEE Secretariat Jl. Raya Janti No.130B, Karang Janbe, Karangjambe, Kec. Banguntapan, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55198, Indonesia
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Applied Engineering and Technology
Published by Association for Scientific Computing Electronics and Engineering
ISSN : -     EISSN : 28294998     DOI : http://dx.doi.org/10.31763/aet
Core Subject : Science, Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Applied Engineering and Technology provides a forum for information on innovation, research, development, and demonstration in the areas of Engineering and Technology applied to improve the optimization operation of engineering and technology for human life and industries. The journal publishes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gaps between research, development, and implementation. The breadth of coverage ranges from innovative technologies and systems of implementation and application development to better human life and industry. The following scope are welcome: Aerospace Engineering, Automobile Engineering, Applied Mathematics, Applied Physics, Bioinformatics, Biophysics, Biotechnology, Chemical Engineering, Chemical Physics, Civil Engineering, Computational Physics, Computer Engineering, Electrical Engineering, Electronic Engineering, Energy Engineering, Environment Engineering, Information Technology, Marine engineering, Mechanical engineering, Medical Engineering, Medical imaging, Medical Physics, Nanotechnology, Ocean Engineering, Optical engineering, Photonics, Robotics, Urban Engineering and Other related engineering topics in general.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol 3, No 1 (2024): April 2024" : 6 Documents clear
Advancements in precast concrete sandwich panels for load bearing structures Kumar, Pushpender; Nighot, Nikhil Sanjay; Kumar, Rajesh; sharma, Surabhi; Kirgiz, MS; Goyal, Arpit
Applied Engineering and Technology Vol 3, No 1 (2024): April 2024
Publisher : ASCEE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/aet.v3i1.1402

Abstract

Concrete sandwich panels consist of two concrete layers separated by an insulating foam core, offering thermal insulation, structural strength, and fire resistance. This study investigates sustainable precast concrete sandwich panels made with industrial waste materials like limestone slurry, quarry waste, and basalt fiber as shear connectors. The research evaluates the flexural and axial strength behavior of these panels and explores strategies to improve their structural performance. The panels were fabricated with outer concrete layers, an expanded polystyrene (EPS) insulation core, and basalt fiber connectors. Flexural tests using four-point bending and axial compression tests were conducted on panels with varying concrete layer thicknesses and basalt fiber widths. Findings revealed panels with thicker outer concrete layers (35mm) and wider basalt fiber connectors (11.5mm) exhibited higher cracking loads, load-hardening behavior, and increased ductility compared to thinner layers and narrower connectors. The axial test showed premature failure at the top and bottom quarters. Thicker concrete layers and wider basalt fiber connectors enhanced crack control, load distribution, and ductile behavior under flexural loading. Strengthening measures like additional reinforcement, proper anchorage detailing, and increased shear reinforcement at the end regions are recommended to improve axial load-bearing capacity and prevent premature end failures.  The PCSP demonstrated up to 40% cost savings over commercial products while providing better thermal insulation than conventional brick masonry due to the EPS core. Overall, the study promotes developing sustainable, energy-efficient, and cost-effective load-bearing sandwich panel systems. 
Study of application of bioclimatic architecture strategy at Citraland Residential House in Palu City Salenda, Hariyadi; Winarta, A; Khaerunnisa, Khaerunnisa; Abidin, A
Applied Engineering and Technology Vol 3, No 1 (2024): April 2024
Publisher : ASCEE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/aet.v3i1.1376

Abstract

Palu City has a fairly hot air temperature, very high intensity of solar radiation, quite high rainfall, and a fairly large wind speed. When reviewing the climatic conditions of Palu City above, the planners in this case the Citraland housing architect team should be able to apply a bioclimatic architecture strategy to be able to respond to the climatic conditions of the city of Palu. Based on this background, it is necessary to conduct a research study on the application of bioclimatic architecture strategies in Citraland's residences. This study uses a rationalistic approach with an exploratory method. Research shows that Citraland Residence has implemented a bioclimatic architectural strategy in several ways, namely the use of shading or shadow effects in the form of roof canopy, eaves, and lattice made of wood, and protective plants, as well as the use of insulating materials such as natural stone affixed to the outer walls. residential home. In addition, the layout of the residence also plays a role in the flow of air circulation to the maximum. Then the strategy of making wind-catching rooms and the use of glass materials on several sides of the building which acts as a place to enter sunlight into the house
Canopy garden model for synergy of land and sea area on Papan Island in Tojo Una Una Regency, Central Sulawesi Bakri, Muhammad Bakri; Kasim, Anita Ahmad; Timbang, Gator
Applied Engineering and Technology Vol 3, No 1 (2024): April 2024
Publisher : ASCEE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/aet.v3i1.1228

Abstract

Pulau Papan is one part of the Togean archipelago, Kabupaten Tojo Una Una. Initially, the Pulau Papan area was part of Tiga Pulau Village, Walea Islands District and Malenge Village, Talatako District, because the people who lived in this area came from these two villages. However, in 2011 Pulau Papan was expanded along with the increase in the number of family heads by 638 people and became part of the Kadoda Village area, Talatako District. The aim of this research is to build synergy in destination development between sea space and land/island space by creating regional nodes that are beautiful and function for the public. The public function that is formed can be utilized by the community both as a public space and a functional area that is beneficial for the residents of Pulau Papan, for example a green area containing vegetables for the residents. This vegetable green area is needed because of the limited vegetables on Pulau Papan. The solution proposed in this research is to design a canopy garden model that can become a green structure in the Pulau Papan area. The canopy garden will function to synergize the arrangement of land and sea areas on Pulau Papan. This canopy garden modeling was obtained through a survey process of the Pulau Papan area, then determining the meeting points for the mobility of residents on Pulau Pulau Papan. The public function that is formed can be utilized by the community both as a public space and a functional area that is beneficial for the residents of  Pulau Papan, for example a green area containing vegetables for the residents.
Performance analysis of random forest on quartile classification journal Sucahyo, Cornaldo Beliarding; Rizqini, Fajriwati Qoyyum; Naufal, Ayyub; Yandratama, Hengky; Shiddiqy, Jabar Ash; Utama, Agung Bella Putra; Putri, Nastiti Susetyo Fanany; Wibawa, Aji Prasetya
Applied Engineering and Technology Vol 3, No 1 (2024): April 2024
Publisher : ASCEE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/aet.v3i1.1189

Abstract

Journals play a pivotal role in disseminating scientific knowledge, housing a multitude of valuable research articles. In this digital age, the evaluation of journals and their quality is essential. The SCImago Journal Rank (SJR) stands as one of the prominent platforms for ranking journals, categorizing them into five index classes: Q1, Q2, Q3, Q4, and NQ. Determining these index classes often relies on classification methodologies. This research, drawing inspiration from the Cross-Industry Standard Process for Data Mining (CRISP-DM), seeks to employ the Random Forest method to classify journals, thus contributing to the refinement of journal ranking processes. Random Forest stands out as a robust choice due to its remarkable ability to mitigate overfitting, a common challenge in machine learning classification tasks. In the context of approximating SJR index classes, Random Forest, when utilizing the Gini index, exhibits promise, albeit with an initial accuracy rate of 62.12%. The Gini index, an impurity measure, enables Random Forest to make informed decisions while classifying journals into their respective SJR index classes. However, it is worth noting that this accuracy rate represents a starting point, and further refinement and feature engineering may enhance the model's performance. This research underscores the significance of machine learning techniques in the domain of journal classification and journal-ranking systems. By harnessing the power of Random Forest, this study aims to facilitate more accurate and efficient categorization of journals, thereby aiding researchers, academics, and institutions in identifying and accessing high-quality scientific literature.
Enhanced data augmentation for predicting consumer churn rate with monetization and retention strategies: a pilot study Geteloma, Victor Ochuko; Aghware, Fidelis Obukohwo; Adigwe, Wilfred; Odiakaose, Chukwufunaya Chris; Ashioba, Nwanze Chukwudi; Okpor, Margareth Dumebi; Ojugo, Arnold Adimabua; Ejeh, Patrick Ogholuwarami; Ako, Rita Erhovwo; Ojei, Emmanuel Obiajulu
Applied Engineering and Technology Vol 3, No 1 (2024): April 2024
Publisher : ASCEE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/aet.v3i1.1408

Abstract

Customer retention and monetization have since been the pillar of many successful firms and businesses as keeping an old customer is far more economical than gaining a new one – which, in turn, reduce customer churn rate. Previous studies have focused on the use of single heuristics as well as provisioned no retention strategy. To curb this, our study posits the use of the recen-cy-frequency-monetization framework as strategy for customer retention and monetization impacts. With dataset retrieved from Kaggle, and partitioned into train and test dataset/folds to ease model construction and training. Study adopt a tree-based Random Forest ensemble with synthetic minority oversampling technique edited nearest neighbor (SMOTEEN). Various benchmark models were trained to asssess how well each performs against our proposed ensemble. The application was tested using an application programming interface Flask and integrated using streamlit into a device. Our RF-ensemble resulted in a 0.9902 accuracy prior to applying SMOTEENN; while, LR, KNN, Naïve Bayes and SVM yielded an accuracy of 0.9219, 0.9435, 0.9508 and 0.9008 respectively. With SMOTEENN applied, our ensemble had an accuracy of 0.9919; while LR, KNN, Naïve Bayes, and SVM yielded an accuracy of 0.9805, 0.921, 0.9125, and 0.8145 respectively. RF has shown it can be implemented with SMOTEENN to yield enhanced prediction for customer churn prediction using Python
Deep learning-based cervical lesion segmentation in colposcopic images Mukku, Lalasa; Thomas, Jyothi
Applied Engineering and Technology Vol 3, No 1 (2024): April 2024
Publisher : ASCEE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/aet.v3i1.1345

Abstract

Artificial intelligence assisted cancer detection has changed the ream of diagnosis precision. This study aims to propose a segmentation network using artificial intelligence for accurately segmenting the cervix region and acetowhite lesions in cervigram images, addressing the shortage of skilled colposcopists and streamlining the training process. A computational approach is employed to develop and train a deep learning model specifically tailored for cervix region and acetowhite lesion segmentation in cervigram images. A dataset acquired in collaboration with KIDWAI memorial cancer research institute is used for building the model. Cervigram images are collected for training and validation, and a deep learning architecture is constructed and trained using annotated datasets. The segmentation network  based on efficientnet architecture and atrous spatial pyramid pooling is designed to accurately identify and delineate the target regions, with performance evaluation conducted using precision, accuracy, recall, dice score, and specificity metrics. The proposed segmentation network achieves a precision of 0.7387±0.1541, accuracy of 0.9291, recall of 0.7912±0.1439, dice score of 0.7431±0.1506, and specificity of 0.9589±0.0131, indicating its reliability and robustness in segmenting cervix regions and acetowhite lesions in cervigram images. This research demonstrates the feasibility and effectiveness of using artificial intelligence-based computational models for cervix region and acetowhite lesion segmentation in cervigram images. It provides a foundation for further investigations into classifying cervix malignancy using AI techniques, potentially enhancing early detection and treatment of cervical cancer while addressing the shortage of skilled professionals in the field 

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 4, No 2 (2025): August 2025 Vol 4, No 1 (2025): April 2025 Vol 3, No 3 (2024): December 2024 Vol 3, No 2 (2024): August 2024 Vol 3, No 1 (2024): April 2024 Vol 2, No 3 (2023): December 2023 Vol 2, No 2 (2023): August 2023 Vol 2, No 1 (2023): April 2023 Vol 1, No 3 (2022): December 2022 Vol 1, No 2 (2022): August 2022 Vol 1, No 1 (2022): April 2022 More Issue