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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Algoritma Journal of ICT Research and Applications Omega: Jurnal Fisika dan Pendidikan Fisika JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika) Momentum: Physics Education Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Systemic: Information System and Informatics Journal TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Rupa Journal of Information Systems and Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pedagogi dan Pembelajaran Journal of Software Engineering, Information and Communication Technology Jurnal Algoritma Makara Journal of Technology Electrician : Jurnal Rekayasa dan Teknologi Elektro International Journal of Applied Research and Sustainable Sciences (IJARSS) Journal of Applied Science and Advanced Engineering SNTE
Ary Setijadi Prihatmanto
School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesha 10, Bandung 40132,
Religion Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Other

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Artificial Intelligence serta Singularitas Suatu Kekeliruan atau Tantangan Dewi Tresnawati; Yomi Guno; I Putu Satwika; Ary Setijadi Prihatmanto; Dimitri Mahayana
Jurnal Algoritma Vol 19 No 1 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.483 KB) | DOI: 10.33364/algoritma/v.19-1.1028

Abstract

Manusia akan selalu mengalami perubahan dan berkembang. Hal tersebut adalah niscaya, sebab manusia selalu berinovasi disebabkan akal dan kepandaian untuk mengelola suatu hal menjadi lebih mutakhir. Manusia selalu berusaha menciptakan karya inovasi untuk mampu membantu pekerjaannya bahkan mencoba untuk membuat sebuah teknologi yang mampu menggantikannya dalam berfikir. Hal ini dimulai dari berkembangkan Artificial Intelligence (AI) dan memungkinkan menuju suatu istilah yang disebut dengan singularitas. Manusia bisa memasuki era singularitas dimana kecerdasan Al justru melampaui manusia. Tujuan dari tulisan ini adalah untuk mengkaji Al serta singularitas adalah kekeliruan ataukah sebuah tantangan. Dengan menggunakan metode kualitatif deskriptif, maka data primer yang didapatkan dilakukan dengan pendekatan kepustakaan. Adapun hasil studi ini, bahwa sesungguhnya kecanggihan teknologi tidak bisa ditahan adanya, sehingga singularitas memang menjadi sebuah tantangan. Tantangan itu semakin nyata apabila tetap mempertahankan manusia sebagai entitas yang tidak akan bisa digantikan oleh Al yang sedemikian mutakhirnya.
Analysis of Arm Movement Prediction by Using the Electroencephalography Signal Darmakusuma, Reza; Prihatmanto, Ary Setijadi; Indrayanto, Adi; Mengko, Tati Latifah; Andarini, Lidwina Ayu; Idrus, Achmad Furqon
Makara Journal of Technology Vol. 20, No. 1
Publisher : UI Scholars Hub

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Abstract

Various technological approaches have been developed in order to help those people who are unfortunate enough to be afflicted with different types of paralysis which limit them in performing their daily life activities independently. One of the proposed technologies is the Brain-Computer Interface (BCI). The BCI system uses electroencephalography (EEG) which is generated by the subject’s mental activity as input, and converts it into commands. Some previous experiments have shown the capability of the BCI system to predict the movement intention before the actual movement is onset. Thus research has predicted the movement by discriminating between data in the “rest” condition, where there is no movement intention, with “pre-movement” condition, where movement intention is detected before actual movement occurs. This experiment, however, was done to analyze the system for which machine learning was applied to data obtained in a continuous time interval, between 3 seconds before the movement was detected until 1 second after the actual movement was onset. This experiment shows that the system can discriminate the “pre-movement” condition and “rest” condition by using the EEG signal in 7-30 Hz where the Mu and Beta rhythm can be discovered with an average True Positive Rate (TPR) value of 0.64 ± 0.11 and an average False Positive Rate (FPR) of 0.17 ± 0.08. This experiment also shows that by using EEG signals obtained nearing the movement onset, the system has higher TPR or a detection rate in predicting the movement intention.
Hybrid Brain-Computer Interface: a Novel Method on the Integration of EEG and sEMG Signal for Active Prosthetic Control Darmakusuma, Reza; Prihatmanto, Ary Setijadi; Indrayanto, Adi; Mengko, Tati Latifah
Makara Journal of Technology Vol. 22, No. 1
Publisher : UI Scholars Hub

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Abstract

This paper describes a novel method for controlling active prosthetics by integrating surface electromyography (sEMG) and electroencephalograph signals to improve its intuitiveness. This paper also compares the new method (RTA-2) with other existing methods (AND and OR) for controlling active prosthetics. Based on analysis, RTA-2 features higher true positive rate (TPR) and balanced accuracy (BA) than AND method. On the other hand, the new method (RTA-2) yields lower false detection rate (FPR) than OR method. Analysis also shows that RTA-2 possesses equal TPR, FPR, and BA with the detection of movement intention using sEMG-based system. Although the RTA-2 method shows equal performance with the sEMG-based system, it presents an advantage for driving active prosthetics to move faster and to reduce its total time response by generating more movement commands.
Generating himawari-8 time series data for meteorological application Ahmad Luthfi Hadiyanto; Ketut Wikantika; Ary Setijadi Prihatmanto; Nurjanna Joko Trilaksono; Dedi Irawadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 2: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i2.pp780-787

Abstract

Optical remote sensing images have been widely used for temporal monitoring. The data is acquired by sensors on satellites with better spatial resolution compared to in-situ measurements by meteorological stations. The problem with utilizing optical images is the cloud, which blocks the ground and near-ground information collected by satellites. To overcome this problem, especially when dealing with thermal bands, we propose a procedure including aggregation and spatial interpolation methods to obtain time series data over a region. There is still no reference to selecting the data period to calculate the aggregate value and apply spatial interpolation. An assessment is proposed by applying Yamane’s formula in the time domain and thresholding the number of pixels in the spatial domain. Himawari-8 data was utilized and collected on an hourly basis over Java Island. This algorithm is applied to a sequence of periodic datasets to obtain a time series of aggregate data for meteorological applications. The result of this study is a recommendation to use three-month periods of data over the eastern part of Java.
Simulasi Aliran Darah dalam Pembuluh Darah Manusia dengan Metoda Lagrange Smooth Particle Hydrodynamic (SPH) Dwi Puspita Anggraeni; Widiyarti Widiyarti; Ary Setijadi Prihatmanto
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 10 No. 2 (2016)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v10n2.216

Abstract

Intisari — Fluida adalah salah satu fenomena yang sulit dimodelkan secara realistis. Penelitian ini didasarkan pada ketertarikan untuk mengaplikasikan model partikel yang cepat dan stabil dalam simulasi fluida, dalam hal ini adalah sistem kardiovaskular dengan fluida darah yang mengalir pada batasan ruang geometri berupa pembuluh darah. Simulator kardiovaskular terdiri dari dua bagian utama, yaitu: simulasi dan visualisasi. Akan tetapi dalam penelitian ini hanya difokuskan pada bagian simulasi dimana persamaan matematis dan dinamika fluida diperlukan untuk mendefinisikan pergerakan fluida darah yang cukup kompleks. Simulasi yang dibuat ditampilkan dalam empat pilihan mode render: titik (point), ruang (sphere), marching cube, wireframe. Simulasi yang pertama dibuat untuk menampilkan interaksi tumbukan antara partikel fluida terhadap dinding pembatas dan percabangan pembuluh. Simulasi ke dua menampilkan model peredaran darah besar. Simulasi ke tiga menampilkan model peredaran darah besar dan kecil. Metoda Smooth Particle Hydrodynamic (SPH) dengan persamaan Lagrange telah diaplikasikan dengan baik dalam simulator ini. Parameter yang diterapkan yaitu jumlah partikel 6000 – 10000 partikel, flow rate 1000 – 2000 partikel/detik, smoothing length 0.01 m, time step 0.004 – 0.02 s, percepatan partikel dari tekanan oleh jantung dengan frekuensi detak 8.377 detak/s, pembatasan grid 64000 grid dengan tetangga maksimum 350 partikel, viskositas 0.1 – 1 Pa.s. Nilai tekanan yang dihasilkan dari simulator sudah sesuai dengan tekanan darah manusia normal yaitu 120/80 mmHg.Kata kunci — darah, kardiovaskular, Lagrange, render, SPH, tekanan. Abstract — Fluid is one phenomenon that is difficult realistically modeled. The research was based on an interest to apply the model of fast and stable particles in fluid simulation, in this case is the cardiovascular system with blood flowing in the geometry of space constraints (blood vessels). Cardiovascular simulator consists of two main things, i.e. simulation and visualization. This research only focused on the simulation where mathematical equations and fluid dynamics equation are necessary to define the movement of blood particle which is quite complex. Simulations are displayed in four rendering modes: point, sphere, marching cube, and wireframe. First simulation show interaction between fluid particles towards the boundary object and branching vessels. Second simulation show systemic circulation. Third simulation shows two system i.e. systemic circulation and pulmonary circulation. Smooth Particle Hydrodynamic (SPH) method with Lagrange equation has been applied properly in this simulator. The parameters applied to simulator: 6000-10000 particles, flow rate from 1000 to 2000 particles/s, the smoothing length 0,01 m, time step 0,004-0,02 s, acceleration of particles from the pressure by the heart beat with frequency of 8377 beats/s, 64000 grid with a maximum of 350 neighboring particles, viscosity of 0.1-1 Pa.s. Pressure values resulting from the simulator is in conformity with normal human blood pressure 120/80 mmHg.Keywords — blood, cardiovascular, Lagrange, rendering, SPH, pressure.
Heap Optimization in A* Pathfinding for Horror Games Putra, Risaldi Angga Buana; Prihatmanto, Ary Setijadi; Yusuf, Rahadian; Sukoco, Agus
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.941

Abstract

This paper examines the implementation of the A* pathfinding algorithm with binary heap optimization in a horror game environment. The horror genre in gaming uniquely engages players by placing them at the center of fear-driven experiences, where intelligent and unpredictable enemy behavior is critical for immersion. To achieve this, adaptive AI—specifically for apparitions or monsters—is controlled using A*, an algorithm renowned for its efficiency in determining the shortest path. Heap optimization is introduced to enhance A* performance by reducing the time required to identify the lowest-cost node in the Open List. Experimental results from a Unity-based prototype demonstrate that the optimized A* achieves an average pathfinding time of 1.6 ms, compared to 3.16 ms without optimization—representing a 49.37% improvement. This speed increase allows for faster and more responsive enemy behavior, resulting in heightened difficulty and more dynamic, fear-inducing gameplay. The findings highlight the potential of algorithmic optimization to significantly enhance both technical performance and player immersion in horror game design.
Conceptual Model of Architecture of 4-Layer Smart System for Emergency Response system of Negative Interaction of Human to Elephant sukoco, Agus; Prihatmanto, Ary Setijadi; Yusuf, Rahadian; Arief, Harnios; Putro, Haryanto R
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 12 (2024): December 2024
Publisher : MultiTech Publisher

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Abstract

The interaction between elephants and humans in the era of smart systems requires a new approach to managing frequent conflicts. In this context, the development of an emergency response system based on smart system technology is very important, both for local communities and national park managers. This system is expected to utilize technology to improve the effectiveness of handling elephant emergencies. This study emphasizes the need to develop an emergency response system based on smart systems to improve the effectiveness of managing elephant-human interactions. Sustainable and participatory system development will be key to creating better solutions to these conflicts in the future.
Prediction of Covid-19 Disease Using X-Ray Images with Deep Learning Algorithm Ikawati, Vidya; Yoeni, Indrasary; Prihatmanto, Ary Setijadi
Journal of Applied Science and Advanced Engineering Vol. 1 No. 1 (2023): JASAE: March 2023
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v1i1.11

Abstract

The capacity of Indonesian medical personnel, especially pulmonary and radiology specialists, is still far from the proportionate ratio of Indonesia's population. This limitation is one of Indonesia's main issues in realizing adequate health services for lung sufferers. Furthermore, the diagnosis process is one of the keys to obtaining appropriate and fast treatment procedures for sufferers. This paper will review the research conducted by the PPTIK ITB team in developing a tool for diagnosing lung disease with the help of Deep Learning. In this study, deep learning models play a role in classifying diseases based on an X-Ray image of the lungs. At this stage, the performance of three deep learning models, ResNet50, ResNet101, and VGG19, will be compared in classifying COVID-19, Pneumonia, and tuberculosis. The performance metrics to be compared include accuracy, precision, recall, and F1 score. The test results show that, on average, the VGG19 model gives the best results on the four performance metrics compared to the other two models.
Implementasi Komunikasi Data Asinkron Menggunakan MQTT untuk Perangkat IoT Laboratorium Elektronika Hibrid Lestari, Nina; Sarief, Ivany; Prihatmanto, Ary Setijadi
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

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Abstract

Penelitian ini bertujuan untuk mengimplementasikan komunikasi data asinkron menggunakan protokol MQTT untuk perangkat IoT dalam lingkungan laboratorium elektronika hibrid. Dengan memanfaatkan MQTT sebagai protokol komunikasi yang ringan dan efisien, penelitian ini merancang sistem yang memungkinkan perangkat IoT yaitu kamera, osiloskop, dan multimeter untuk mengirimkan data secara asinkron ke sebuah message broker RabbitMQ. Data dari berbagai perangkat IoT ini dapat digunakan AI worker untuk analisis lebih lanjut. Penerapan komunikasi data asinkron melalui MQTT memungkinkan perangkat IoT dalam laboratorium elektronika hibrid untuk terus beroperasi dan menerima pesan baru tanpa menghambat proses saat ini. Hal ini meningkatkan adaptabilitas dan responsivitas sistem selama aktivitas praktikum berlangsung. Data hasil pengukuran dari perangkat IoT dapat dikumpulkan dan diolah secara efisien, memungkinkan penerapan sistem cerdas yang memberikan wawasan lebih terhadap data yang terkumpul. Evaluasi kinerja sistem dilakukan dengan melihat keberhasilan pengiriman data dan perbedaan waktu dari pengiriman dan penerimaan data. Penggunaan MQTT sebagai protokol komunikasi memastikan efisiensi dan keandalan transfer data antar perangkat IoT, serta meningkatkan performa keseluruhan sistem.
Co-Authors Achmad Furqon Idrus, Achmad Furqon Adi Indrayanto Agus Sukoco Ahmad Luthfi Hadiyanto Andhy Setiawan Arief Syaichu Rohman Carmadi Machbub Carmadi Machbub Carmadi Machbub Dedi Irawadi Dewi Tresnawati DIAN ANGGRAINI Dimitri Mahayana Dwi Puspita Anggraeni Egi Muhammad Idris Hidayat Eko Nugroho Estiko Rijanto Estiko Rijanto Fatma Hamid, Fatma Hamid, Fatma Harnios Arief Hendy Hertiasa I Putu Satwika Ivany Sarief, Ivany Izzuddin, Muhammad Andik Ketut Wikantika Lestari, Nina Lidwina Ayu Andarini, Lidwina Ayu Liliasari , Masayu Leylia Khodra Midriem Mirdanies Midriem Mirdanies Nurjanna Joko Trilaksono Nurman Hariyanto Putra, Risaldi Angga Buana Putro, Haryanto R Reza Aulia Yulnandi Reza Darmakusuma, Reza Rina Ristiana Sahertian, Grace Caroline Saprudin Saprudin Saprudin, Saprudin Supriyanto Supriyanto Supriyanto Tati Latifah Mengko, Tati Latifah Vidya Ikawati, Vidya Wahyudi Wahyudi Widiyarti Widiyarti Yoeni, Indrasary Yomi Guno Yulnandi, Reza Aulia Yusuf, Rahadian