Garuda - Garba Rujukan Digital

Monitoring Vibration of A Model of Rotating Machine Djajadi, Arko; Azavi, Arsi; Rusyadi, Rusman; Sinaga, Erikson
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 2, No 1 (2011)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Mechanical movement or motion of a rotating machine normally causes additional vibration. A vibration sensing device must be added to constantly monitor vibration level of the system having a rotating machine, since the vibration frequency and amplitude cannot be measured quantitatively by only sight or touch. If the vibration signals from the machine have a lot of noise, there are possibilities that the rotating machine has defects that can lead to failure. In this experimental research project, a vibration structure is constructed in a scaled model to simulate vibration and to monitor system performance in term of vibration level in case of rotation with balanced and unbalanced condition. In this scaled model, the output signal of the vibration sensor is processed in a microcontroller and then transferred to a computer via a serial communication medium, and plotted on the screen with data plotter software developed using C language. The signal waveform of the vibration is displayed to allow further analysis of the vibration. Vibration level monitor can be set in the microcontroller to allow shutdown of the rotating machine in case of excessive vibration to protect the rotating machine from further damage. Experiment results show the agreement with theory that unbalance condition on a rotating machine can lead to larger vibration amplitude compared to balance condition. Adding and reducing the mass for balancing can be performed to obtain lower vibration level.Â

A MODEL VISION OF SORTING SYSTEM APPLICATION USING ROBOTIC MANIPULATOR Arko Djajadi; Fiona Laoda; Rusman Rusyadi; Tutuko Prajogo; Maralo Sinaga
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 8, No 2: August 2010
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v8i2.615

Image processing in today’s world grabs massive attentions as it leads to possibilities of broaden application in many fields of high technology. The real challenge is how to improve existing sorting system in the Moduler Processing System (MPS) laboratirium which consists of four integrated stations of distribution, testing, processing and handling with a new image processing feature. Existing sorting method uses a set of inductive, capacitive and optical sensors do differentiate object color. This paper presents a mechatronics color sorting system solution with the application of image processing. Supported by OpenCV, image processing procedure senses the circular objects in an image captured in realtime by a webcam and then extracts color and position information out of it. This information is passed as a sequence of sorting commands to the manipulator (Mitsubishi Movemaster RV-M1) that does pick-and-place mechanism. Extensive testing proves that this color based object sorting system works 100% accurate under ideal condition in term of adequate illumination, circular objects’ shape and color. The circular objects tested for sorting are silver, red and black. For non-ideal condition, such as unspecified color the accuracy reduces to 80%.

ANALYSIS, DESIGN AND IMPLEMENTATION OF AN EMBEDDED REALTIME SOUND SOURCE LOCALIZATION SYSTEM BASED ON BEAMFORMING THEORY Arko Djajadi; Rusman Rusyadi; Tommy Handoko; Maralo Sinaga; Jürgen Grueneberg
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 7, No 3: December 2009
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v7i3.588

This project is intended to analyze, design and implement a realtime sound source localization system by using a mobile robot as the media. The implementated system uses 2 microphones as the sensors, Arduino Duemilanove microcontroller system with ATMega328p as the microprocessor, two permanent magnet DC motors as the actuators for the mobile robot and a servo motor as the actuator to rotate the webcam directing to the location of the sound source, and a laptop/PC as the simulation and display media. In order to achieve the objective of finding the position of a specific sound source, beamforming theory is applied to the system. Once the location of the sound source is detected and determined, the choice is either the mobile robot will adjust its position according to the direction of the sound source or only webcam will rotate in the direction of the incoming sound simulating the use of this system in a video conference. The integrated system has been tested and the results show the system could localize in realtime a sound source placed randomly on a half circle area (0 - 1800) with a radius of 0.3m - 3m, assuming the system is the center point of the circle. Due to low ADC and processor speed, achievable best angular resolution is still limited to 25o.

Monitoring Vibration of A Model of Rotating Machine Arko Djajadi; Arsi Azavi; Rusman Rusyadi; Erikson Sinaga
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 2, No 1 (2011)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2011.v2.51-56

Mechanical movement or motion of a rotating machine normally causes additional vibration. A vibration sensing device must be added to constantly monitor vibration level of the system having a rotating machine, since the vibration frequency and amplitude cannot be measured quantitatively by only sight or touch. If the vibration signals from the machine have a lot of noise, there are possibilities that the rotating machine has defects that can lead to failure. In this experimental research project, a vibration structure is constructed in a scaled model to simulate vibration and to monitor system performance in term of vibration level in case of rotation with balanced and unbalanced condition. In this scaled model, the output signal of the vibration sensor is processed in a microcontroller and then transferred to a computer via a serial communication medium, and plotted on the screen with data plotter software developed using C language. The signal waveform of the vibration is displayed to allow further analysis of the vibration. Vibration level monitor can be set in the microcontroller to allow shutdown of the rotating machine in case of excessive vibration to protect the rotating machine from further damage. Experiment results show the agreement with theory that unbalance condition on a rotating machine can lead to larger vibration amplitude compared to balance condition. Adding and reducing the mass for balancing can be performed to obtain lower vibration level.

Comparison Non-Parametric Machine Learning Algorithms for Prediction of Employee Talent I Ketut Adi Wirayasa; Arko Djajadi; H andri Santoso; Eko Indrajit
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 15, No 4 (2021): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.69366

Classification of ordinal data is part of categorical data. Ordinal data consists of features with values based on order or ranking. The use of machine learning methods in Human Resources Management is intended to support decision-making based on objective data analysis, and not on subjective aspects. The purpose of this study is to analyze the relationship between features, and whether the features used as objective factors can classify, and predict certain talented employees or not. This study uses a public dataset provided by IBM analytics. Analysis of the dataset using statistical tests, and confirmatory factor analysis validity tests, intended to determine the relationship or correlation between features in formulating hypothesis testing before building a model by using a comparison of four algorithms, namely Support Vector Machine, K-Nearest Neighbor, Decision Tree, and Artificial Neural Networks. The test results are expressed in the Confusion Matrix, and report classification of each model. The best evaluation is produced by the SVM algorithm with the same Accuracy, Precision, and Recall values, which are 94.00%, Sensitivity 93.28%, False Positive rate 4.62%, False Negative rate 6.72%, and AUC-ROC curve value 0.97 with an excellent category in performing classification of the employee talent prediction model.

Perancangan Prototype Deteksi Kelengkapan Atribut Siswa Berbasis Computer Vision DADANG HADI PRAYITNA; Arko Djajadi
Jurnal Inovasi Informatika Vol. 7 No. 1 (2022): Jurnal Inovasi Informatika
Publisher : Universitas Pradita

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51170/jii.v7i1.235

Abstrak: Salah satu bidang penelitian yang masih berkembang sampai saat ini adalah kecerdasan buatan (Artificial Intelligence). computer vision adalah salah satu dari Pengembangan cabang ilmu AI,. Dalam computer vision terdapat permasalahan yaitu object detection dan image classification. Deep learning yang digunakan untuk pengenalan dan klasifikasi objek adalah Convolutional Neural Network karena banyak digunakan pada penelitian terdahulu dan menghasilkan hasil yang signifikan dalam pengenalan citra. Pada penelitian ini dilakukan pengenalan objek atribut sekolah SMA 5 Tangerang menggunakan framework Tensorflow dengan dataset sebanyak 700 gambar. Hasil penelitian menunjukkan bahwa dengan metode CNN didapatkan tingkat akurasi hingga 100% untuk melakukan deteksi atribut sekolah siswa SMA 5 Tangerang pada sebuah frame gambar dan video.

Prediction Model of Production Completion Delay to Improve Service Quality Using Decision Tree Versus Multilayer Perceptron Method Arko Djajadi; Winarno Winarno; Abdullah Dwi Srenggini
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Delays in the completion of pvd production can be caused by several factors. Including the actual experience in the production of the difficulty of each process and color type, even the difficulty of the product type can also be affected. In this study, the prediction of the delay in the completion of pvd production was carried out using the C4.5 decision tree and Multilayer Perceptron data mining method approach using Production Results data at PT. Surya Toto Indonesia, whose results are expected to provide information and input for the company in making production plans in the future. The data testing method was carried out with 5 (five) testing times with different amounts of data to determine the level of consistency of accuracy obtained. C4.5 gives the results of a decision tree where the root is the color type and as the leaf is the product category, type type and order period. The average value of accuracy generated in the C4.5 decision tree method is 87.15%. While the Multilayer Perceptron obtained an average accuracy of 87.98%, which is greater than the decision tree method with a difference of 0.83%.

Blockchain-Based E-Certificate Verification and Validation Automation Architecture to Avoid Counterfeiting of Digital Assets in Order to Accelerate Digital Transformation Arko Djajadi; Karunia Suci Lestari; Linda Evan Englista; Aldi Destaryana
CCIT Journal Vol 16 No 1 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

The security and confidentiality of data are very important for institutions. Meanwhile, data fabrication or falsification of official documents is still common. Validation of the authenticity of documents such as certificates becomes a challenge for various parties, especially those who have to make decisions based on the validity of the document. Scanning-based signatures on printed and digital documents are still relatively easy to counterfeit and yet still difficult to distinguish from the original. The traditional approach is no longer reliable. Solutions to these problems require the existence of data security techniques, seamless online verification of the authenticity of printed documents, and e-certificates quickly. The objective of the study is to model the e-certificate verification process via blockchain and proof-of-stake consensus methods and use MD5 encryption. The data or identity listed on the e-certificate is secured with an embedded digital signature in the form of a QR code and can be checked for the truth online. A combination of technologies capable of suppressing or removing counterfeiting of digital assets will accelerate digital transformation across spectrums of modern life. The resulting architectural model can be used as a starting point for implementing a blockchain-based e-certificate verification and validation automation system.

Android-manifest extraction and labeling method for malware compilation and dataset creation Hindarto, Djarot; Djajadi, Arko
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp6568-6577

Malware is a nuisance for smartphone users. The impact is detrimental to smartphone users if the smartphone is infected by malware. Malware identification is not an easy process for ordinary users due to its deeply concealed dangers in application package kit (APK) files available in the Android Play Store. In this paper, the challenges of creating malware datasets are discussed. Long before a malware classification process and model can be built, the need for datasets with representative features for most types of malwares has to be addressed systematically. Only after a quality data set is available can a quality classification model be obtained using machine learning (ML) or deep learning (DL) algorithms. The entire malware classification process is a full pipeline process and sub processes. The authors purposefully focus on the process of building quality malware datasets, not on ML itself, because implementing ML requires another effort after the reliable dataset is fully built. The overall step in creating the malware dataset starts with the extraction of the Android Manifest from the APK file set and ends with the labeling method for all the extracted APK files. The key contribution of this paper is on how to generate datasets systematically from any APK file.

WASTE BANK ESTABLISHMENT AS A FORM OF SUSTAINABLE ENTREPRENEURSHIP IN SERDANG WETAN VILLAGE Pratiwi, Putu Yani; Lestari, Elissa Dwi; Purnamaningsih, Purnamaningsih; Rizkalla, Nosica; Djajadi, Arko
Jurnal Sinergitas PKM & CSR Vol 8, No 1 (2024): APRIL
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v8i1.7991

According to data from the National Waste Management Information System 43.3% of the waste produced by the community comes from household waste. This figure makes households the largest source of waste generators. In South Tangerang city area, data from the South Tangerang Environmental Service shows that the waste generated by the people of South Tangerang city is 1000 tons every day. With the high volume of waste produced, household waste management has become an important thing to do so that waste is not just thrown away in the landfill. Serdang Wetan Village, which is one of the villages supported by Multimedia Nusantara University, currently does not have a waste bank, so the aim of the current Community Development Program is to establish a Waste Bank in Serdang Wetan Village. The program began with household waste management training to housewives in Serdang Wetan Village, then continued to form a WhatsApp group as a medium of information and communication. Every 2 weeks, the residents bring their clean household waste to the waste bank. This program has succeeded in raising public awareness about sorting waste, reducing waste entering the landfill, eliminating the habit of burning waste, and also providing additional income for the Serdang Wetan Village-Owned Enterprise (BumDes).

Title

Found 16 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 16 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 16 Documents
Search