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Journal of Integrated and Advanced Engineering (JIAE)
Published by Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia
ISSN : 2774602X     EISSN : 27746038     DOI : https://dx.doi.org/10.51662/jiae
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Journal of Integrated and Advanced Engineering JIAE adalah jurnal ilmiah peer-review yang menerima makalah penelitian yang terkait erat dengan bidang Teknik, seperti Mekanik, Listrik, Industri, Sipil, Kimia, Material, Fisik, Komputer, Informatika, Lingkungan dan Arsitektur.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 59 Documents
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Design and Fabrication of Automatic Weight, Color and Height Based Sorting System Arafath Al Fahim; Mohammad Mizanur Rahman; Homayun Kabir; Samiul bari
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.101

Abstract

Sorting is a necessary task that is frequently performed in daily life. Manual sorting is an expensive, difficult, and drawn-out operation. Additionally, it slows down manufacturing operations. To solve these issues the sorting system now uses Low-Cost Automation which aims to decrease labor costs, manufacturing times, and processing complexity while also enhancing product quality, boosting output, etc. In this research, an efficient technique for automatically sorting the object based on color, height, and weight has been devised. The objects are recognized, separated, and collected using a collection bin along with a conveyor belt, strain gauge load cell, TCS34725 RGB color sensor, ultrasonic sensor, extra channel path, etc. according to their colors. The Arduino Uno controls the entire operation of this system. Here, three types of products are sorted based on their weight, color, and height. These three colors are red, blue, and green. Firstly, the weight is measured using strain gauge load cells. Then the color of the product has been detected by the color sensor at the same stage, and according to the color collecting bin rotates to the desired angle. Finally, the height is measured by an ultrasonic sensor. An extra channel is used at the end of the conveyor belt. At the end of the channel, a three-portion collecting bin is kept. The bin can be rotated at the desired angle by a servo motor after detecting the specified color object, and objects are being collected from this bin. Thus, the objects are sorted out based on their weight, color, and height. The experimental results show that the system fits the design requirements, is dependable, and has high sorting accuracy.
Facial Recognition and Thermal Imaging: A Cost-Effective Solution for Covid-19 Detection Abd Halim Embong; Asyrah Shahierah Ambotang; Syamsul Bahrin Abdul Hamid
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.105

Abstract

The global pandemic induced by the 2019 Novel Coronavirus Disease (Covid-19) has posed significant challenges for nations across the globe. Given the pandemic's pervasive nature, there is an emerging demand for a dependable tool capable of identifying individuals exhibiting fever, a primary symptom of Covid-19 infection. To address this, utilizing facial recognition technology in conjunction with temperature measurement has been widely embraced within various infrastructures such as residential buildings and office spaces. This research proposes the adoption of a system capable of recognizing human faces while simultaneously monitoring individual temperatures. This is achieved through the utilization of Python and open-source libraries such as OpenCV and NumPy to develop an effective facial identification system. Furthermore, this research suggests leveraging the capabilities of a cost-effective AMG8833 thermal imaging camera to measure human body temperature. The thermal image, reflecting the individual's body temperature, is displayed on the Node-RED dashboard, a platform based on Internet of Things (IoT) technology. Should the temperature reading of an individual exceed 37.5 degrees Celsius, the system is designed to activate an alarm and dispatch notifications via an administrative mobile application. All pertinent information regarding the individual is securely stored within a MySQL webserver database. A comparative analysis reveals that the proposed system provides nearly 95% cost reduction when compared against commercial alternatives such as the Flir C3, with the added advantage of image recognition capabilities.
Analysis of Geometry Verification of X, Y, Z Correction Values with Megavoltage Computed Tomography Using Lower Extremity Positioning System in Prostate Cancer Nursama Heru Apriantoro; Prabaningtyas Widya Dewi; Hamdi Rubiyanto
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.109

Abstract

The immobilization tool is used to minimize the movement caused while doing irradiation, one of the immobilization tools is the Lower Extremity Positioning System (LEPS) which is used to minimize movement in the Pelvis area. This research was conducted at Dr. Cipto Mangunkusumo Central General Hospital. The type of this research is analytics quantitative. This research used 15 samples with secondary data, which were selected based on inclusion and exclusion criteria’s. The secondary data will be analyzed namely the consistency between the Set-Up value (Couch Position before verification) and the MVCT (Couch Position after verification) value using the Non-Parametric Wilcoxon statistical test, and evaluating the shifting values of X, Y and Z with tolerance standards from AAPM TG-148 which is 2 mm. The results obtained are based on statistical analysis of the Set-Up value with the MVCT results obtained that there is no significant difference, and based on the overall substance, the total that exceeds the tolerance of X coordinates is 92 times with a percentage of 68%, from Y coordinates that is 80 times with a percentage of 59%, from the Z coordinate which is 51 times with a percentage of 38% there is a shift that exceeds tolerance. The conclusion is that the results of MVCT verification still occur that exceed the tolerance standard so that LEPS is still not effective in preventing shifts that occur during radiation therapy.
Development of a PLC Based Automation Cell for Industry Arafath Al Fahim; Mohammad Mizanur Rahman; Monowar Wadud Hridoy; Kazi Riad Uddin
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.94

Abstract

In recent years there is a considerable growth and development of automation mainly in industrial sectors. This technological revolution is quickly reducing the need of humans to operate machines. To reduce cost and increase the production rate every industry tries to invent new technology. Bringing automation in the industrial sector is one of them. Automation in the industrial sector reduces human effort, makes the system smooth and also increases productivity. For this tendency every industry wants to design an automatic production process with minimal amount of cost (MAC). The main purpose of this paper is to give an idea about automatic shrink packaging of the final product and sorting technique which reduces the overall packaging and sorting time and also increases productivity. In this project a PLC based low-cost automation cell will be developed for industry. This automation cell combines two different types of work in one frame. One is shrinking packaging of final products and another one is sorting which is done by measuring the size of the product. The purpose of combining two different types of work in frame is to reduce the overall production time. Pneumatic system introduced here for sorting purpose. This pneumatic system works faster than an electric pusher which finally reduces the sorting time. This pneumatic system is also safe from fire hazard where there is a high chance of fire hazard in electric pusher. Sorting is done here by using a double acting cylinder acting as a pneumatic pusher and this cylinder is controlled by a 5/2 Solenoid valve. Here Sorting is done after finishing the packaging of the final product. To perform different tasks in one frame it will be helpful for industry because both labor cost and time will be reduced as well as increased the production rate of industry. By using the PLC whose model name is Siemens S7-200 and using the Micro-WIN software for making the ladder diagram, the entire system will be controlled. The experimental findings demonstrate that the system has high sorting accuracy, is reliable, and satisfies the design specifications.
Human Object Detection for Real-Time Camera using Mobilenet-SSD Rachmat Muwardi; Joe Mada Ranseda Permana; Hongmin Gao; Mirna Yunita
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.108

Abstract

Technology development is very rapid, so all fields are required to develop technology to increase the effectiveness and efficiency of work. One of the focuses is related to image processing technology. We can benefit from this system, so various fields have implemented image processing systems, such as security, health, and education. One of the current obstacles is safety, namely in searching for people, which is still done manually. Searching for teams to find people is often challenging because of the significant search area, low light conditions, and complex search fields. Therefore, we need a tool capable of detecting humans to assist in finding people. Therefore, to detect human objects, the authors try to research human object detection using a simple device for the human object detection system. The authors use the MobilenetV2-SSD, where this algorithm has high detection and accuracy. Using the mobilenetV2-SSD simulation method for human object recognition, a detection rate of 100% is obtained with an FPS value of 5.
Techno-Economic Analysis Utilization of On-Grid Solar Photovoltaic Systems in Improving Energy Efficiency in Manufacturing Industries Mochamad Irlan Malik; Andi Adriansyah; Abu Ubaidah Shamsudin
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.96

Abstract

Energy efficiency is a critical factor in the success of the manufacturing industry in the era of globalization and increasing competition. One alternative to reduce dependence on conventional energy sources is to utilize Solar Power Plants. This research focuses on the analysis of the techno-economic utilization of on-grid solar photovoltaic (PV) systems in improving energy efficiency in manufacturing industries using Homer Pro software. The study utilizes data on electricity consumption before and after the use of PV panels on a low voltage 33 kVA customer grid for one year. The results show that after the use of On-Grid Photovoltaic System, electricity costs decreased by 16.935.541 IDR or about 15%. The percentage of On-Grid Photovoltaic System usage reached 15.6%, while the grid usage reached 84.4%. Therefore, this study recommends the use of on-grid solar photovoltaic systems as an alternative energy-saving solution in manufacturing industries. However, in designing On-Grid Photovoltaic System, it is crucial to consider the power of the grid and the loads that will be backed up by On-Grid Photovoltaic System.
Coastal Vulnerability Classification of the North Coast of Java using K-Nearest Neighbor Ayu Novitasari Saputri; Arita Witanti
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.112

Abstract

Indonesia has many beaches that attract the attention of tourists, including the north coast of Java. In addition to visual appeal, there are also other potentials such as settlements, agriculture, fisheries, ports, ponds, and other resources. However, there is also a threat to coastal damage caused by, among other things, wave action, tides, abrasion, and tidal flooding. For this reason, in developing coastal areas on the north coast of Java, it is necessary to consider the potential for damage to the coast based on the physical condition of the coast and a system that can classify the vulnerability levels of coastal areas is also needed. The Coastal Vulnerability Index (CVI) can be determined and classified using for example the Gornitz formula, or using data driven model and machine learning based on the coastal parameter data. This study demonstrates how the K-Nearest Neighbor, also known as K-NN algorithm, can be used to classify the level of vulnerability of the coastal areas. This study uses 290 points (locations) along the northern coasts of Java. The parameters that determine the coastal vulnerability are mean sea level (MSL), mean significant wave height (MSWH), mean tidal range (MTR), shoreline changes, landforms and slopes. In this study, the classification of coastal vulnerability levels is classified into 4, namely “low, moderate, high and very high”. The K-NN system uses 80% of the data for training and 20% for testing, with the value of K = 1 to 10. The test results show that the K-NN method is capable of classifying the vulnerability levels of the North Coast of Java. From the test results for values of K = 1 to K = 10, and by randomizing the training data and test data gives an average accuracy rate of 86.21% to 97.13%, with the best K value obtained at K = 2.
Counting Various Vehicles using YOLOv4 and DeepSORT Alfan Pahreza Kusumah; Dena Djayusman; Galih Rizki Setiadi; Ade Chandra Nugraha; Priyanto Hidayatullah
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 1 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i1.68

Abstract

The Ministry of Public Works and Public Housing (PUPR) conducted a traffic survey to determine the total number of vehicles and classify them according to the Bina Marga vehicle categorisation. The survey has thus far been carried out manually. As a result, surveys take a lot of time and money to perform. Additionally, as the survey scope grows, so will the requirement for surveyors. Therefore, a substitute that can execute the survey procedure automatically and with tolerable accuracy is required. One solution is to utilise deep learning technology to detect and categorise vehicles that can be used in apps. The program is designed as a web application that provides a summary of vehicle calculations and receives video data from traffic recordings. The deep learning model used is YOLOv4 which is trained to recognise vehicle classes following Bina Marga vehicle types. The model was trained and tested using the Python programming language and the Darknet framework on the Google Colab platform. The YOLOv4 and DeepSORT method with custom dataset reached a decent accuracy of 67.94%, considering the limited 1000 images used for training the model.
Identification of Whatsapp Digital Evidence on Android Smartphones using The Android Backup APK (Application Package Kit) Downgrade Method Deny Sulisdyantoro; Marza Ihsan Marzuki
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 1 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i1.70

Abstract

The use of WhatsApp for actions that lead to unlawful acts is a serious matter that needs to be proven in court. Android and the WhatsApp messaging application continue to update their features and security to provide maximum service and protection to its users, such as the WhatsApp database encryption using crypt14. With crypt14 encryption on the WhatsApp database, investigations of WhatsApp digital evidence against Electronic Evidence (BBE) require an acquisition and extraction method to identify artefacts relevant to digital evidence needs. The National Institute Standard Technology (NIST) reference methodology, from the collection, examination, and analysis to reporting stages, has become a widely used framework for digital forensics against BBE. The Android Backup Application Package Kit (APK) Downgrade method can decrypt the WhatsApp database crypt14 to become a solution that can be used in the framework of mobile forensics to answer the needs of investigations into certain criminal cases, including data that users have deleted. With the Cellebrite tools, the Android Backup Application Package Kit (APK) Downgrade method can identify approximately 651% more artefacts than the Android Backup and logical acquisition methods using the FinalData and MobilEdit tools.
Design and Simulation High Pass Filter Second Order and C-Type Filter for Reducing Harmonics as Power Quality Repair Effort in the Automotive Industry Mochamad Irlan Malik; Eko Ihsanto
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 1 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i1.79

Abstract

Electrical distribution is one of the most important parameters in industrial processes. Therefore, good power quality is needed as a supply to industrial machines. The use of industrial machines has an impact on the emergence of harmonics. As a result of the large Harmonics, the quality of power is getting worse, affecting productivity in the industry. Therefore, samples were taken using a Power Quality Analyzer on an 800 kVA transformer on the secondary side of the transformer to maximise the supply of electricity to consumers. Then obtained THDi Phase L1 of 23.1%, phase L2 of 24.7% and phase L3 of 21% and IHDi on the 5th order in phase L1 18.3%, phase L2 20.7% and phase L3 16.6% regarding (IEEE Std 3002.8-2018) and (SPLN D5.004-1:2012) the IHDi value should not be more than 7%. Then simulated using MATLAB/Simulink by designing the Second Order High Pass Filter and C-Type Filter. The results obtained by combining the two filters gained THDi results in the L1 phase at 2.53%, the L2 phase at 2.69% and the L3 phase at 2.22% and the IHDi at the 5th order of the L1 phase at 1.48%, the L2 phase 1.62% and L3 phase 1.33%.

Page 4 of 6 | Total Record : 59

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