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All Journal Heuristic EMITTER International Journal of Engineering Technology Aiti: Jurnal Teknologi Informasi Jurnal Mekanik Terapan International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal Pengabdian Masyarakat dan aplikasi Teknologi The Indonesian Journal of Computer Science
Zainal Arief
Fakultas Teknik Untag Surabaya
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Tooth Color Detection Using PCA and KNN Classifier Algorithm Based on Color Moment ., Justiawan; Sigit, Riyanto; Arief, Zainal
EMITTER International Journal of Engineering Technology Vol 5 No 1 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1114.623 KB) | DOI: 10.24003/emitter.v5i1.171

Abstract

Matching the suitable color for tooth reconstruction is an important step that can make difficulties for the dentists due to the subjective factors  of color selection. Accurate color matching system is mainly result based on images analyzing and processing techniques of recognition system.  This system consist of three parts, which are data collection from digital teeth color images, data preparation for taking color analysis technique and extracting the features, and data classification involve feature selection for reducing the features number of this system. The teeth images which is used in this research are 16 types of teeth that are taken from RSGM UNAIR SURABAYA. Feature extraction is taken by the characteristics of the RGB, HSV and LAB based on the color moment calculation such as mean, standard deviation, skewness, and kurtosis parameter. Due to many formed features from each color space, it is required addition method for reducing the number of features by choosing the essential information like Principal Component Analysis (PCA) method. Combining the PCA feature selection technique to the clasification process using K Nearest Neighbour (KNN) classifier  algorithm can be improved the accuracy performance of this system. On the experiment result, it showed that only using  KNN classifier achieve accuracy percentage up to 97.5 % in learning process and 92.5 % in testing process while combining PCA with KNN classifier can reduce the 36 features to the 26 features which can improve the accuracy percentage up to 98.54 % in learning process and  93.12% in testing process. Adding PCA as the feature selection method can be improved the accuracy performance of this color matching system with little number of features. 
Reduction of Total Harmonic Distortion (THD) on Multilevel Inverter with Modified PWM using Genetic Algorithm Raharja, Lucky Pradigta Setiya; Q., Ony Asrarul; Arief, Zainal; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 5 No 1 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3130.646 KB) | DOI: 10.24003/emitter.v5i1.174

Abstract

In this research, modified PWM has been applied to the multilevel inverter (MLI) single-phase three-level diode clamp full bridge. Modified PWM is performed to produce minimum Total Harmonic Distortion (THD) the voltage because the quality of the good voltage is indicated by small THD. The THD indicates the quality of AC voltage source. The THD standard by the IEEE STD 519-1992 Harmonic Voltage Limits is 5% and the Pacific Corp standard is 8%, if the THD value is greater than the THD standard it can cause the electronic load to be damaged due to the damaged waveform. Modified PWM is applied by adding a 50 Hz sinusoidal reference signal with a sinusoidal signal which has a certain amplitude, frequency and phase shift angle. The frequency of the adder signal is the frequency at which the value of the individual harmonic voltage appears (n harmonic). To get maximum result, optimization using Genetic Algorithm (GA) method to determinate amplitude & phase shift angle done. The result of implementation hardware with modified PWM shows smaller THD voltage compared to the THD voltage with Sinusoidal Pulse Width Modulation (SPWM) switching up to 0.19 or decrease 65,51 % for modified PWM of harmonic injection n = 7 with GA optimization ma= 0.8 (A=0.0936 and ø = 0 rad) and up to 0.08 or decrease 12,30 % for modified PWM of harmonic injection n = 22 with GA optimization ma = 0.4 (A=0.1221 and ø = 0 rad).
Characterization and Modeling of Pedal Torque in a Regenerative Bicycle Trainer Using Current Control Prayoga, Adi; Mauludi, Fajar; Sabilul Huda, Muhammad Ravi; Putri Herwandi, Kasih Aisyah; Darmawan, Adytia; Satriyanto, Edi; Arief, Zainal
Jurnal Mekanik Terapan Vol 7 No 1 (2026): April 2026
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jmt.v7i1.8357

Abstract

Regenerative bicycle trainers support more sustainable indoor cycling by converting a rider’s kinetic energy into electrical energy while producing a controllable resistive load. For a realistic riding feel, the relationship between commanded braking current and pedal torque must be accurately defined. This study develops and validates an empirical current-torque model for a trainer based on a brushless direct current (BLDC) motor using a second-order polynomial. Experiments were conducted on two sprocket configurations (32-tooth and 12-tooth), with 11 braking current setpoints ranging from 0 to 10 A under steady-state conditions. The model was evaluated through its inverse form using five torque setpoints for each configuration. Results show strong agreement with experimental data, with coefficients of determination ( ) exceeding 0.998. The 12T configuration achieves higher accuracy, with a Mean Percentage Error of 1.55%, compared to 9.20% for the 32T configuration. This is likely due to improved torque transmission and more stable friction drive behaviour at higher loads. Negative quadratic coefficients indicate mild nonlinearities consistent with magnetic saturation. The model is suitable for feedforward control, enabling realistic torque simulation without requiring expensive external torque sensors.
Co-Authors ., Justiawan ., Justiawan Achmad Alfian Hidayat, Achmad Adi Prayoga Afrigh Fajar Rosyidiin Daffa Syah Alam Darmawan, Adytia Dedid Cahya Happyanto Dian Mursyitah Edi Satriyanto Erma Yuliaty, Erma Harijanto, Setijanen Djoko Herlina Herlina I Nyoman Lokajaya, I Nyoman Indra Adji Sulistijono Istantyo Yuwono, Istantyo Jaka Purnama Jufrizel , Jufrizel Lucky Pradigta Setiya Raharja Mauludi, Fajar Mochamad Mobed Bachtiar, Mochamad Mobed Novie Ayub Windarko Putri Herwandi, Kasih Aisyah Q., Ony Asrarul Q., Ony Asrarul Ridhoi, Ahmad Riyanto Sigit, Riyanto Rokhana, Rika Sabilul Huda, Muhammad Ravi Singgih, Mochammad Siswoyo, Agus Siswoyo, Agus Siti Muhimatul Khoiroh Siti Mundari Wirawan, Andika Puji Zamroni, Moh Shiddiq Zarory, Hilman