Bhakti Yudho Suprapto

Sriwijaya University

PhysicsEngineeringLift (data mining)Recurrent neural networkMel-frequency cepstrumArtificial intelligenceBackpropagationControl systemNavigation systemSpeech recognitionInverse controlAltitude controlComputer sciencePID controllerArtificial neural networkFeature extractionFuzzy logicControl theoryReal-time computingControl theoryRobotProcess (computing)

62Publications

4H-index

45Citations

Publications 69

Newest

PENGOPTIMALAN ENERGI CADANGAN BERBASIS SWITCHING CHARGE DENGAN MENGGUNAKAN SOLAR CELL PADA RANCANG BANGUN MINI PDAM

#1Muhammad Mukhsin Thamrin (Sriwijaya University)

#2Sariman (Sriwijaya University)

Last. Bhakti Yudho Suprapto (Sriwijaya University)H-Index: 4

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Kebutuhan listrik dari PLN (Perusahaan Listrik Negara) untuk pengolahan air bersih di daerah terpencilumumnya sering mengalami gangguan karena terjadinya pemadaman listrik (Down) oleh 2 faktor, yaitu faktor internalberupa maintenance dan faktor eksternal yang bersifat gangguan secara langsung saat proses transmisi listrik. Oleh karenaitu, pengolahan energi dari sel surya sebagai sumber energi listrik DC (Direct Current) cadangan berfungsi menggantikansementara sumber listrik dari PLN saat terjad...

A Comparison of Back Propagation Neural Network and Elman Recurrent Neural Network Algorithms on Altitude Control of Heavy-lift Hexacopter Based on Direct Inverse Control

Oct 1, 2018 in ICEE (International Conference on Electrical Engineering)

#1Bhakti Yudho SupraptoH-Index: 4

#2Benyamin Kusumoputro (UI: University of Indonesia)H-Index: 13

The altitude control is one of the important factors in controlling the heavy-lift hexacopter. This altitude control needs precise control since the heavy-lift hexacopter moves based on the speed of its driving motors. This paper uses a control based on Direct Inverse Controller with Neural Network Algorithm. The algorithm which used in this paper is Elman Recurrent Neural Network compared with Backpropagation Neural Network. The Backpropagation is the most used algorithm in Neural Network. In t...

Identification of Regional Dialects Using Mel Frequency Cepstral Coefficients (MFCCs) and Neural Network

#1Ayu Mawadda WarohmaH-Index: 1

#2Puspa KurniasariH-Index: 1

Last. Bhakti Yudho SupraptoH-Index: 4

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Dialects may affect the voice recognition because they have an influence on the intonation and the pronunciation of a syllable. Every dialect shows the characteristic of a particular tribe and region. This paper addresses to develop a speech recognition system using Mel Frequency Cepstral Coefficients which are fed to a neural network based on backpropagation algorithm to recognize some particular dialects. The regional dialects used in this paper are Indonesian dialects, namely, Bataknese, Mina...

Comparison of Cascade and Feedforward-Feedback Controllers for Temperature Control on Stirred Tank Heater Systems

#1Bhakti Yudho SupraptoH-Index: 4

#2Ike BayusariH-Index: 1

Last. Muhammad

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The temperature control in stirred tank heater (STH) systems is important, especially since the equipment is utilized in a wide variety of industries such as oil and gas. However, within the current STH control process there is often a small disturbance which adversely affects the overall process and it is quite difficult to solve with a regular feedback configuration. Many researchers have applied cascade and feedforward control configurations to solve this problem. Therefore, this paper discus...

#1Bhakti Yudho Suprapto (UI: University of Indonesia)H-Index: 4

#2M. Ary HeryantoH-Index: 2

Last. Benyamin Kusumoputro (UI: University of Indonesia)H-Index: 13

view all 5 authors...

Research on multicopter nowadays is rapidly growing in many fields of application. One of the problems in the multicopter application is the ability to lift a heavy load that requires the careful design and selection of the proper type of multicopter for its ability in carrying out the missions involving the heavy load lifting. One type of multicopters that is often used is hexacopter. This paper describes the design of hexacopter that lift a heavy load. The design is done by calculating and ana...

Optimization of PID control parameters with genetic algorithm plus fuzzy logic in stirred tank heater temperature control process

#1Nurul Ikhlas SeptianiH-Index: 1

#2Ike BayusariH-Index: 1

Last. Bhakti Yudho SupraptoH-Index: 4

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This paper describes a method to determine Proportional Integral Derivative (PID) controller parameter using Genetic Algorithm with the Fuzzy Logic controller of temperature control of Stirred Tank Heater. The system design begins with the search for the transfer function on the Stirred Tank Heater. The fuzzy logic system design is used to find the parameters in the Genetic Algorithm is the probability of crossover and the probability of mutation. This parameter is used to find the value of Kp, ...

#1Bhakti Yudho Suprapto (UI: University of Indonesia)H-Index: 4

#2Amsa Mustaqim (UI: University of Indonesia)H-Index: 1

Last. Benyamin Kusumoputro (UI: University of Indonesia)H-Index: 13

view all 4 authors...

Hexacopter is a member of rotor-wing Unmanned Aerial Vehicle (UAV) which has 6 six rotors with fixed pitch blades and nonlinear characteristics that cause controlling the attitude of hexacopter is difficult. In this paper, Modified Elman Recurrent Neural Network (MERNN) is used to control attitude and altitude of Heavy-lift Hexacopter to get better performance than Elman Recurrent Neural Network (ERNN). This Modified Elman Recurrent Neural Network has a self-feedback which provides a dynamic tra...

#1Bhakti Yudho Suprapto (UI: University of Indonesia)H-Index: 4

#2Benyamin Kusumoputro (UI: University of Indonesia)H-Index: 13

This paper discusses a neural network based on direct inverse control (DIC) to control the roll, pitch, and yaw in maintaining the hovering condition of a heavy-lift hexacopter. To improve the control of the hexacopter, the authors propose a DIC-optimized method of retraining the inverse model using new data collected from optimal motions of the hexacopter generated by the desired input. The experiment showed that both the DIC model and the DIC-optimized model had good performances with small MS...

Attitude and altitude control of a quadcopter using neural network based direct inverse control scheme

#1M. Ary Heryanto (UI: University of Indonesia)H-Index: 2

#2Herwin Suprijono (UI: University of Indonesia)H-Index: 4

Last. Benyamin Kusumoputro (UI: University of Indonesia)H-Index: 13

view all 4 authors...

Altitude Control of Heavy-Lift Hexacopter using Direct Inverse Control Based on Elman Recurrent Neural Network

Jan 20, 2017 in ICCMS (International Conference on Computer Modeling and Simulation)

#1Bhakti Yudho Suprapto (UI: University of Indonesia)H-Index: 4

#2M. Ary Heryanto (UI: University of Indonesia)H-Index: 2

Last. Benyamin Kusumoputro (UI: University of Indonesia)H-Index: 13

view all 4 authors...

This paper proposes the use of Direct Inverse Control (DIC) with Elman Recurrent Neural Network (ERNN) learning algorithm for the altitude control of a heavy-lift hexacopter. The study was conducted analytically using the real flight data obtained from real plant experiment. The results showed that the ERNN can successfully control the altitude of the heavy-lift hexacopter, where the response generated by the DIC system was in good agreement with the test data with low error. Furthermore, the pr...

Close Researchers

Benyamin Kusumoputro

H-index : 13

Herwin Suprijono

H-index : 4

Hera Hikmarika

H-index : 3

M. Ary Heryanto

H-index : 2

Suci Dwijayanti

H-index : 3

Djulil Amri

H-index : 1

Zainuddin Nawawi

H-index : 8

Ike Bayusari

H-index : 1

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