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Indonesian Journal of Computing, Engineering and Design (IJoCED) Faculty of Engineering and Technology - Sampoerna University L’Avenue Office Tower, North Tower 6th Floor, Jl. Raya Pasar Minggu Kav. 16, Jakarta Selatan 12780, Indonesia
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INDONESIA
Indonesian Journal of Computing, Engineering, and Design
Published by Universitas Sampoerna
ISSN : 26561972     EISSN : 26568179     DOI : https://doi.org/10.35806/ijoced.v1i1.31
Core Subject : Science, Art, Engineering,
Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Indonesian Journal of Computing, Engineering and Design (IJoCED) is an international and open access peer-reviewed journal, published by Faculty of Engineering and Technology, Sampoerna University. IJoCED published original research papers, state of the art reviews and innovative projects on topics leveraging all aspects of Computing, Engineering & Design and their cross-disciplinary applications: from theory to practice. Thus, manuscripts that cover any related issues are encouraged to be submitted to IJoCED. The IJoCED is committed to providing access to quality research article in the area of Computing, Engineering & Design and the cross-disciplinary among areas for all interested readers. The IJoCED will be published two times a year in April and October. The below mentioned fields are the scope and focus for IJoCED. The IJoCED also welcomes innovative articles related any Computing, Engineering and Design fields. Computing: • Smart Embedded Computing • Data Science/ Analytics • Educational computing • Intelligent Systems & Robotics • IT and Social Change • Internet of Things • Business Information Systems • Health Information Systems • Software Engineering • Computer System & Networking • E-Commerce & E-Business • Green Computing • IS Project Management • Smart Technology • Data Analytics for Big Data • Intelligent System for Organizations • Information Security Engineering: • Bioprocess Engineering • Civil Engineering • Energy Engineering • Environmental Engineering • Geotechnical Engineering • Genetic Engineering • Industrial Engineering • Bioprocess Engineering • Industrial Engineering • Social Engineering • Physics Engineering • Chemical Engineering • Electrical Engineering • Computer Engineering • Food Engineering • Geotechnical Engineering • Chemical Engineering • Manufacturing Engineering • Materials Engineering • Engineering Education Design: • Visual Communication Design • Photography • Visual Literacy • Communication Technologies • Human-Computer Interaction • User-based Design • Digital Art • Graphics, Art, and Design • Advertising Design • Theory of Perception • User Experience
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 84 Documents
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Behavior of Grouted Sleeve Wall Connection under Lateral Load Ling, Jen Hua; Abd. Rahman, Ahmad Baharuddin; Ibrahim, Izni Syahrizal
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.337

Abstract

A grouted sleeve’s efficiency in splicing steel bars makes it a potential choice for connecting precast elements. While most studies have focused on the feasibility of grouted sleeves under tension, only a few have investigated the real response of precast concrete members connected using grouted sleeves. In this study, Tapered Head Sleeves (THS) were utilized as connections for precast walls. The objectives were to examine their behavior under incremental lateral loads and assess the feasibility of THS as a wall connection. Five test specimens and one control specimen were fabricated, each comprising two walls joined by THS. The load was applied 1.8 m above the joint until specimen failure. Specimens that experienced bar fracture failure exhibited a relatively large drift upon failure, while those failing due to bar bond slip showed smaller drift. Factors contributing to wall drift included horizontal slip, rocking displacement, cantilever bending deformation, and compressive settlement. The ultimate load increased by 71% as the embedded length increased from 75 mm to 175 mm, and it increased by 50% as the sleeve diameter decreased from 75 mm to 50 mm. The sleeves' performance was evaluated for feasibility based on the strength ratio, drift ratio, ductility ratio, failure mode, performance ratio, serviceability ratio, and length ratio. Only THS-8 met all the criteria, suggesting that the bar's embedded length should be at least 11 times the bar diameter.
Design of Medical Self-Propelled Walking Tricycle as a Post-Stroke Rehabilitation Tool Febritasari, Rosadila; Korawan, Agus Dwi
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.390

Abstract

Patients recovering from a stroke may not be able to use all rehabilitation equipment due to their poor muscle strength and coordination. This study proposes to design a self-propelled walking tricycle that is a non-motorized three-wheel vehicle in a delta configuration without a pedal. This study was conducted by considering the post-stroke patient needs. It was done using two analysis methods, finite element analysis, and rapid upper limb analysis, to justify the reliability of the design. The results show that the maximum stress is 38.8 MPa in the connection area of the seat tube and down tube, while the maximum deformation is 0.399 mm in the seat post. The tricycle is constructed with 153 mm of ground clearance. Therefore, patients can lift their legs and drive the tricycle by swinging their legs repeatedly, like walking. The proposed self-propelled walking tricycle can be considered as a rehabilitation tool that can train the lower extremities. It could be used for strengthening the muscles and improve body coordination for the recovery process.
An Automatic Monitoring System for Dragon Fruit Using Convolutional Neural Networks (CNN) and Internet of Things (IoT) Mulyadi, Adi; Ardiyansyah, Fuad; Fathul Hadi, Charis
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.391

Abstract

Plant diseases and pests have led to a decline in the quality of dragon fruit produced in Banyuwangi regency, Indonesia. Infections in dragon fruit cause rot, and farmers struggle to identify the pests responsible. To address this problem, this work proposed two concepts for the classification and monitoring systems of dragon fruit. The classification was done by processing some images of dragon fruits captured by DLSR camera and utilizes a convolutional neural network with three layers for training and testing. The monitoring system is based on the Internet of Things to tracks the status of ripe, raw, and rotten fruits. The application of the dragon fruit classification system to ripe, rotten, and raw fruits has yielded results that increase fold accuracy by 0.976, 0.981, and 0.986, respectively, with 200 training data in each of the three training and testing phases. There is a decrease of 0.024, 0.019, and 0.014 in fold loss accuracy. Meanwhile, the monitoring system's platform integrates the classification of dragon fruit to monitor the condition of ripe, raw, and rotting fruit in real time. With the implementation of the classification and monitoring system, farmers will be better equipped to predict when dragon fruit will ripen and prevent the spread of rot to other fruits.
Analysis of Waste Separation Drivers in Urban Centers Using the Theory of Planned Behavior and the Norm Activation Model Maghfiroh, Meilinda Fitriani Nur; Muqimuddin, Muqimuddin; Sartika, Widya; Redi, Anak Agung Ngurah Perwira; Abdallah, Bayu Nur; Hutahaean, Glenardo Antoi; Apriani, Ratna Agil
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.392

Abstract

Urban centers worldwide are grappling with complex waste management challenges, including efficient collection, transportation, processing, and an over-reliance on landfills. A promising approach to mitigate these issues lies in bolstering public participation in waste separation, which could significantly improve recycling efforts. To effectively encourage this practice, it is crucial to understand the underlying factors that motivate community engagement in waste segregation activities. This study utilizes the Theory of Planned Behavior and the Norm Activation Model to identify and analyze determinants influencing individuals' propensity to separate waste in the sampling area of Balikpapan City, Indonesia. Balikpapan, one of the cities in Indonesia, is currently facing several distinct challenges related to waste management. Through the empirical validation of eight hypotheses, it becomes apparent that the presence of market facilitators (H3) and the influence of past behavior (H5) play pivotal roles in shaping the intention to engage in waste separation. The findings suggest that providing accessible, well-maintained market facilities and initiatives designed to enrich the public's waste separation experience are essential strategies. Implementing these strategies could significantly improve waste separation practices within specific urban contexts such as Balikpapan, Indonesia, and other cities facing similar environmental management challenges.
Using Content-Based Filtering and Apriori for Recommendation Systems in a Smart Shopping System Pebrianti, Dwi; Ahmad, Denis; Bayuaji, Luhur; Wijayanti, Linda; Mulyadi, Melisa
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.393

Abstract

This research is motivated by the increasing significance of online shopping platforms and the challenges faced by users in locating products that align with their preferences and requirements, which can significantly influence the sales performance of online retailers. Consequently, the primary objective of this study is to design and implement a recommendation system capable of identifying suitable products and forecasting the purchase frequency for various product combinations, while also integrating this recommendation system with a smart shopping platform. To achieve this objective, the research employs machine learning techniques, specifically content-based filtering and the Apriori algorithm. Content-based filtering is utilized to analyze user preferences and behavioral patterns related to visited products, while the Apriori algorithm is employed to evaluate support and confidence values for item set combinations, thereby generating frequency values for future transactions involving product combinations. Additionally, a smart shopping system is developed and integrated, enhancing the shopping experience through smartphone applications and streamlining the payment process to facilitate seamless product purchases. The research methodology involves data collection pertaining to products and user preferences, followed by several testing involving a sample group of user respondents. The results demonstrate that the developed recommendation system effectively delivers relevant product recommendations based on user preferences, achieving a confidence value up to 98%. Furthermore, the smart shopping system proves capable of independently assisting users throughout the transaction process, thereby enhancing overall user experience and convenience.
An FMCW Radar-Based Intelligent System for Non-Contact Detection and Monitoring of Pneumonia Symptoms Purnomo, Ariana Tulus; Frandito, Raffy; Limantoro, Edrick Hensel; Djajasoepena, Rafie; Bhakti, Muhammad Agni Catur; Lin, Ding Bing
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.395

Abstract

Pneumonia is one of the most common contagious respiratory diseases, and one of its symptoms is shortness of breath. This symptom underscores the need for non-contact monitoring methods, which our paper addresses by proposing a strategy that uses Frequency-Modulated Continuous Wave (FMCW) radar to extract breathing waveforms and then classifies them with an eXtreme Gradient Boosting (XGBoost) model. The model performs well on our dataset, using stratified k-fold cross-validation and Mel-Frequency Cepstral Coefficients (MFCC) feature extraction. This intelligent system can correctly identify deep and deep-quick breathing patterns with 98% and 87.5% recall scores, respectively. Integrating FMCW and XGBoost offers a promising solution for early detection and real-time monitoring of pneumonia
Comparison of Heat Transfer Performance of Lattice-Structured Heat Sinks Christo, Jerome
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 2 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/djhqed26

Abstract

This paper presents a comparative study of the heat transfer performance of lattice-structured heat sinks. Twenty different unit cells are chosen, and heat sinks are modeled in nTop with constant unit cell size. Al 6061 alloy is chosen as the material for analysis due to its good thermal conductivity, low weight, low cost, and high strength. Steady-state thermal analysis is performed using ANSYS with constant input parameters for all samples. Heat flux and temperature distribution within the heat sinks are analyzed. From the simulation, it was found that TPMS and plate-based heat sinks outperform other types with better heat transfer.
The Potential of Tea Waste and Silica Fume as Partial Replacements for Cement in Bricks Lim, Yong Tat; Ting, Michelle Sze Hui; Bujang, Ummi Humaira Binti; Bujang, Mastura Binti; Ling, Jen Hua
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 2 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/39gwjx93

Abstract

Bricks are widely used building materials made from sand, cement, and water in standard proportions. However, the increasing demand for construction materials that use sand and ordinary Portland cement is leading to the depletion of natural resources. To address this issue, researchers are exploring alternative materials, such as Tea Waste (TW) and Silica Fume (SF), as partial replacements for cement bricks. This study used a mix proportion of 1:2.5 with a certain percentage of replacement materials and 0.5 of a water/cement ratio. The experimental results indicated that when TW and SF were substituted at 5% and 10%, respectively, the compressive strength of the cement bricks was adequate and met the minimum masonry unit requirements of the British Standard. Additionally, the density of the cement bricks (with TW and SF) was lower than that of solid bricks, and the water absorption met the requirements of the British Standard. However, the cement bricks' effective strength-to-weight ratio (s-w ratio) was lower than 1.0, except for the specimens with 5% TW and 10% SF. The optimum mix proportion was the cement brick with 5% TW and 10% SF as it achieved all the industry requirements. 
Microhole Creation in FDM-Printed Sheet Polymers: A Punching Process Approach Agus Salim, Urip; Abdullah, Bulan; Suyitno; Pratama, Juan; Badranaya, Muhammad Imawan; Wijaya, Rahman; Mahardika, Muslim; Arifviyanto, Budi
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 2 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/8r45gs31

Abstract

Fused deposition modeling (FDM) 3D printing is one of the additive manufacturing processes that can make components with complex shapes, require no tools, are cheap, safe, and have  minimal waste. Despite all the advantages of the FDM process, the inability of this technique to create holes on a micro scale can be a problem and limits its application. In this research, a combination of FDM and machining processes was carried out, where micro holes in FDM printed components were created using a punching process. The punching process is carried out by varying pressure and speed. Furthermore, the diameter of the hole and the quality of the sheared edge of the hole resulting from the punching process were evaluated through observation using an optical microscope. The results show that the holes resulting from the punching process have a better shape and diameter than the FDM process. Then, the analysis of the sheared edge from punching shows that pressure and speed significantly affect the surface quality of the resulting sheared edge, where the quality increases with increasing pressure and speed. In the end, the punching process was proven to create micro-scale holes in FDM-printed polymer, especially at minimum thickness. 
Systematic Layout Planning and Analytical Hierarchy Process for Laboratory Layout Optimization: A Case Study of DESPRIN Sihotang, Mergie; Jawak, Josua Boyke William
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 2 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/v6i2.466

Abstract

The Product Design and Innovation Laboratory (DESPRIN) at Del Institute of Technology plays a crucial role in supporting innovation. Yet, its current layout struggles to meet its users' diverse and evolving needs. This study addresses the problem of inadequate spatial configuration, which hampers workflow efficiency, ergonomics, and the lab's overall capacity to accommodate various activities. To resolve this issue, a flexible layout is designed using the Systematic Layout Planning (SLP) method, emphasizing optimizing space utilization, workflow, and spatial adaptability. Data collected from literature reviews, interviews, statistical analyses, and anthropometric measurements inform the design process to enhance the lab’s quality and spatial efficiency. The Analytical Hierarchy Process (AHP) is employed to prioritize key layout design factors, identifying capacity as the most critical element (0.4930), followed by facilities (0.1688), accessibility (0.1414), security (0.1270), and environment (0.0708). The study results in 13 new layout configurations that can accommodate various activities within DESPRIN, providing a more dynamic and responsive user environment.

Page 7 of 9 | Total Record : 84

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