Felix Pasila

Petra Christian University · Department of Electrical Engineering (JTE)

Moving beyond immersive learning, the rapid advancement of Mixed Reality (MR) technology is diversifying its applications across various sectors, including education, healthcare, and corporate training. However, standalone MR devices pose challenges related to performance and visualization realism. In this study, we focused on enhancing immersive l...

Merdeka Belajar (the freedom to learn) in Indonesia emerged indirectly with the COVID-19 pandemic. Merdeka Belajar is a form of learning that aims to create an innovative, non-restrictive learning culture. With this idea, the development of online education is growing rapidly from online meetings to a virtual format and the development of online re...

This paper describes a prototype of a computing platform dedicated to artificial intelligence explorations. The platform, dubbed as PakCarik, is essentially a high throughput computing platform with GPU (graphics processing units) acceleration. PakCarik is an Indonesian acronym for Platform Komputasi Cerdas Ramah Industri Kreatif, which can be tran...

A technical indicator is an analysis instruments to help traders analyzing forex price movements through charts. Prediction indicators are artificial technical indicators that can help traders to analyse forex price movements in the future. This prediction information becomes one of the bases in making trading decisions. This project aims to develo...

Smartphones have become a vital gadget that cannot be separated from human daily life. Various features provided on smartphones can attract attention, especially for children. Children today are very familiar with the smartphone. However, when they are using the smartphone, they often cannot manage the distance of eyes and the smartphone. Therefore...

The study was using an EEG Emotiv Epoc+ sensor to recognize brain activity for controlling a mobile robot's movement. The study used Emotiv Control Panel software for EEG command identification. The commands will be interfaced inside Mind Your OSCs software and processing software which processed inside an Arduino Controller. The output of the Ardu...

Deep learning (DL) has been considered as a breakthrough technique in the field of artificial intelligence and machine learning. Conceptually, it relies on a many-layer network that exhibits a hierarchically non-linear processing capability. Some DL architectures such as deep neural networks, deep belief networks and recurrent neural networks have...

Parallel Discrete-Manipulators are a special kind of force regulated manipulators which can undergo continuous motions despite being commanded through a large but finite number of states only. Real-time control of such systems requires very fast and efficient methods for solving their inverse static analysis. In this paper, artificial intelligence...

This paper will present how to model the XYZ coordinates of a Discrete Manipulator with two-six discrete pneumatic actuators via artificial intelligence algorithm (AI) efficiently. The XYZ model is said efficient if mathematical calculation of the discrete states of manipulator related to XYZ coordinates, with the inverse static analysis (ISA) prob...

Decomposition analysis is useful method to determine significant factors contribute towards the development of energy consumption. This paper presents factors decomposition of electricity consumption in Indonesia’s household sector using artificial intelligent method. The proposed artificial intelligent technique used in this study is the Neuro Fuz...

Long-term Prediction of IHSG Indonesia using Levenberg Marquardt Trainingon Neuro-Fuzzy network

This research is an extended investigation of using game simulator to the Massive Actuator Array platform. Two kind of prototypes cockpit view game simulators are designed to be implemented to the platform. The two prototypes are Aircraft and ground All-terrain vehicle game simulator. The aircraft simulator is made by OGRE3D engine and SDL, while t...

Massive parallel arrays of discrete actuators are forceregulated robots that undergo continuous motions despite being commanded through a large but finite number of states only. Realtime control of such systems requires fast and efficient methods for solving their inverse static analysis, which is a challenging problem. Artificial intelligence meth...

The paper describes a Neuro-fuzzy approach with additional moving average window data filter and fuzzy clustering algorithm that can be used to forecast electrical load using the Takagi-Sugeno (TS) type multi-input single-output (MISO) neurofuzzy network efficiently. The training algorithm is efficient in the sense that it can bring the performance...

The paper describes the combination of two modeling strategies between the accelerated Levenberg-Marquardt algorithm (accelerated LMA) on neuro-fuzzy approach and fuzzy clustering algorithm C-Means that can be used to forecast financial stock market such as Jakarta Stock Indices (JCI) using the Takagi-Sugeno (TS) type multi-input single-output (MIS...

Multivariate inputs play important role in system with many dependent variables. By using some different inputs as input in neuro-fuzzy networks, complex nonlinear model can be modeled and also be forecasted with better results. This paper describes a neuro-fuzzy approach with additional fuzzy C-means clustering method before the input entering the...

This paper describes an accelerated Backpropagation algorithm (BPA) that can be used to train the Takagi-Sugeno (TS) type multi-input multi-output (MIMO) neuro-fuzzy network efficiently. Also other method such as accelerated Levenberg-Marquardt algorithm (LMA) will be compared to BPA. The training algorithm is efficient in the sense that it can bri...

This paper describes a method of generating rule based fuzzy control for multiple input single input systems. The rule generated by the program uses Gaussian membership function from time series data. This automatic rule will be used to forecast the same time series and the effective of the algorithm is measured by SSE and MSE. We choose n=17 as th...

Automation systems in industrial world need a kind of method to control automatically all continuing process from one to another. Besides, they also require monitoring process and remote controlling. For that reason they use SCADA which are using PLC(s) to implement such demand. One of the remarkable SCADA systems is Wonderware. This paper will des...

This paper describe Flux Vector Design Using Vector Matlab on 3 Phase Inverter when torque changes. Transient response is important things for inverter because it needs optimal torque that motor shows desire performance. This condition needs flux vector design that give V/F linear comparison in transient response. The experiment was done by simulat...

In execute some parameter identification can do with various way, one of we know is adaptive technique. Looking at it from mathematics point of view of course adaptive technique is very difficult. Another method which can used such like Bode Diagram method, because it is only need frequency data and gain/phase to get the parameter system. The hardw...

Train rescheduling is often have to be made due to technical problems faced by the train that hold up the train to run on schedule or due to the addition of a new train. A simulation on train scheduling system can help out the train service company on rescheduling the train schedule. The simulation is made using Java language programming with queue...

Industries need production processes that can be operated continually from one process to another without a lot of human energy resources. The solution of the problem is using an automation system which can be worked and operated from one central operator. SCADA with PLC can be used in many industrial processes because it can answer all the problem...

Nowadays, PLN has to hire employees to record the data which is shown by KWH meter at customer's house. The employee can not record it if there are no people in customer's house. To solve this problem, it is needed a KWH meter which can transmit data by using wireless data logger system, so that, the PLN's employee can record the data although ther...

The fast growing technology in automotive has made possible to replace convensional transmission system on motorcycle with automatic transmission system to ease the rider. The development of automatic transmission system on motorcycle is intended to replace the convensional transmission system (semi automatic) with automatic transmission system by...

Like another commonly control-systems, audio amplifiersystem also has characteristics which are defined by their parametrics. Two of them are Gain and Bandwidth. An instrument for measuring Gain and Bandwidth can be built using microcontroller 89C51 from MCS-51 family dan programmed in assembly to generate its frequency (i.e. simulating VCO via sof...

Abstrak Makalah ini memberi ide bagaimana mengontrol PLC dari jarak jauh menggunakan Modem Interface. Umumnya PLC model lama belum support dengan modem, karena itu memodifikasi PLC agar dapat interface dengan modem merupakan cara yang lebih efisien dari pada membeli PLC baru. Modem interface diimplementasikan dengan microcontroller keluarga MCS-51...

Abstrak Makalah ini akan menjelaskan tentang penggunaan kamera sebagai sensor posisi pada kontrol robot mobil penjejak garis berwarna. Robot mobil didisain untuk dapat mengikuti sebuah garis berwarna dari sekumpulan garis-garis berwarna yang ada. Dalam sistem ini diterapkan metode kontrol ON-OFF untuk mengontrol robot mengikuti garis tersebut. Untu...

Our daily need about water is absolutely essential. Therefore we need some equipments which can support to supply the water accordance with our needed. For example%2C to supply the water in hotel%2C the greater the amount of using the water then we need performance of water pump more and more to move the water from low surface to the higher. Howeve...

The aim of the use of automatic AC controller using poeple counter sensor are controlling temperature, sub mode fan, and on/off based on the number of people detected by the sensor. When there are no people that are detected by the sensor, then the AC will automatic off. The automatic AC temperature controller can reduce the cost of the power utili...

Makalah ini memaparkan penggunaan Kompensator untuk menghasilkan tegangan DC yang berasal dari sumber tegangan AC tiga fasa Asimetris yang ditimbulkan dari sistem pembangkit listrik tenaga angin. Jenis kompensator yang dipilih adalah Low Pass Filter(LPF) dan Proporsional- Integral-Differential (PID). Tegangan DC yang dihasilkan kemudian dapat menja...

Makalah ini memaparkan tentang metode pencarian hill climbing yang diaplikasikan pada sebuah robot mobil standalone sehingga dengan menggunakan metode hill climbing, robot tersebut dapat mencari rute terpendek. Pada penelitian ini, metode hill climbing diimplementasikan pada sebuah mikrokontroler keluarga MCS51 yaitu AT89S52 yang mana mikrokontrole...

Dalam long-term forecasting (LTF) data electrical load Jatim-Bali (2005-2007) dengan menggunakan Gustafson-Kessel fuzzy clustering dan Takagi-Sugeno inference system didapatkan hasil Mean Square Error (MSE) yang kecil. Namun hasil pemodelan fuzzy clustering ini dirasa masih belum optimal, karena parameter hasil clustering masih perlu duji apakah pa...

Dalam long term forecasting (LTF) data beban listrik Jatim-Bali (2005-2007) menggunakan struktur jaringan neuro-fuzzy dengan algoritma training Levenberg- Marquardt algorithm (LMA) diperoleh nilai MSE ( Mean Squared Error) yaitu 2 x10-3 tetapi dirasa masih belum optimal. Oleh karena itu, Evolutionary Algorithm akan digunakan untuk optimasi paramete...

The Neuro-Fuzzy Network and Fuzzy Clustering system are known as good algorithm in time series forecasting application but the parameters need to be optimized. As the Evolutionary Algorithm (EA) grows, it is interesting to implement EA to optimize the parameters of Neuro-Fuzzy and Fuzzy Clustering. The time series data is the electrical load of Eas...

This paper describes a computational intelligence approach that can be used to predict long-term of IHSG Indonesia using the Takagi-Sugeno (TS) type multi-input single-output (MISO) neuro-fuzzy network efficiently. The Levenberg-Marquardt training is efficient in the sense that it can bring the performance index of the network, such as the mean squ...