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All Journal Cakrawala Pendidikan Jurnal Penelitian Saintek INOTEKS : Jurnal Inovasi Ilmu Pengetahuan, Teknologi, dan Seni Jurnal Nasional Teknik Elektro dan Teknologi Informasi

Yuwono Indro Hatmojo, Yuwono

Universitas Negeri Yogyakarta

Author-ID : 2903329

Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering

Published : 4 Documents Claim Missing Document

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Articles

A CHARACTER-BASED ASSESSMENT MODEL FOR VOCATIONAL HIGH SCHOOLS Edy Supriyadi; Zamtinah Zamtinah; Sunaryo Soenarto; Yuwono Indro Hatmojo
Jurnal Cakrawala Pendidikan CAKRAWALA PENDIDIKAN, VOL. 38, NO. 2, JUNE 2019
Publisher : LPMPP Universitas Negeri Yogyakarta

The competencies of vocational high school (VHS) graduates, especially in terms of character have not met its standards. This study aims to develop a character-based assessment model for VHS in the form of a guide and procedure. Borg Gall’s (1989) model with the following stages was utilized: (1) needs analysis, (2) planning, (3) development, (4) phase I trial, (5) phase II trial, (6) evaluation of model effectiveness, and (7) final product development. This study involved some experts in the model validation. Trials were done to teachers and principals in eight VHSs in Yogyakarta Special Province, Indonesia in 2017 (first trial), and those from 42 VHSs throughout Java island, Indonesia in 2018 (second trial). Data were collected by questionnaires and interviews and analysed by quantitative and qualitative descriptive statistics. This study suggest that, overall, the model is appropriate and feasible to use, proven by (1) the assessment guide is categorized as ‘very appropriate’ (Mean 3.55; SD .52); (2) assessment procedure achieves an ‘very appropriate’ category (Mean = 3.60; SD = .51); and (3) effectiveness of the assessment model in trial 1 is in the ‘very appropriate’ category (Mean 3.43, and SD .51), and in trial 2 is in the ‘appropriate’ category (Mean 3.38, SD .53).

APLIKASI ELEKTRONIKA DAYA UNTUK PENGATURAN MOTOR INDUKSI BAGI PARA GURU SMK DI DAERAH ISTIMEWA YOGYAKARTA Istanto Wahyu Djatmiko; Muhammad Ali; Sunomo Sunomo; Yuwono Indro Hatmojo
INOTEKS : Jurnal Inovasi Ilmu Pengetahuan, Teknologi, dan Seni Vol 19, No 1: Februari 2015
Publisher : LPPM UNY

Community Service Activity (PPM) on training "Power ElectronicsApplications for Induction Motor Settings for vocational teachers in YogyakartaSpecial Region" conducted at the Laboratory of Power Electronics andElectrical Machine Laboratory in the Department of Electrical EngineeringEducation FT UNY. This activity is conducted by the PPM team consisting oflecturers in the Department of Electrical Engineering Education , FT UNY withthe aim of: (1) provide basic knowledge and skills application of power electronics circuits, namely a series of alternating voltage regulator for inductionmotor control; (2) provide knowledge and skills of the induction motor settingsby utilizing one of the instructional media in the form of a variable speed driveunit; (3) do the programming unit of variable speed drives for induction motorsrotation speed controlling; and (4) do the programming variable speed driveunit for braking the motor induction. PPM activities conducted during the three-day meeting with the allocation for 25 hours. The training material covers the theory and practice include:induction motor theory, the theory of series AC drives, AC drive circuit practice, and practice of induction motor control using Altivar 312. This trainingwas attended by 23 people who had a vocational teacher expertise associatedwith this training. Training method used lectures, discussions, question andanswer, demonstration, and practice directly. The achievement of this result can be expressed PPM activities: (1) theparticipants have increased knowledge and skills in power electronics and itsapplications to induction motor settings are indicated by an increase in the valueof the mean pre-test and post-test participants of 48.9 into 76.5; (2 ) of theparticipants felt the benefits of the PPM activity shown from a mean value of 95 96 3.46 questionnaire scores that can be categorized, this activity is very good; and(3) the participants can develop the training materials as a instructional mediafor the control induction motors

PERFORMANCE OF BACKPROPAGATION NEURAL NETWORKS FOR CULTIVATION DAILY LOADS IN JAW A CENTRAL-DIY Kustono Kustono; Yuwono Indro Hatmojo
Jurnal Penelitian Saintek Vol 11, No 1: April 2006
Publisher : Institute of Research and Community Services, Universitas Negeri Yogyakarta

Goals of this research are implementing Artificial Neural Network (ANN) algorithm for load forecasting and getting its performance. The training data was takenfrom UPB Ungaran. The performance can be got through comparing ANN test result with the real load at that time. The research methodology usc experimental and design models approach. The phases of this research were: I. analyzing and identifying of need 2. developing of load forecasting application software with C programming. 3. entering and training the data to get data pattern.The result of this research. the load forecasting result by ANN was close with UPB loadforecasting. but several ANN test result have more deviation than UPB. because number of training data was less. so the forecasting pattern 111as not too accurate Beside that. another possibility was the number of iteration must be more than / ()()(J timesiterations in order to get more less error. There was 33,3% of ANN result that has more less deviation, although the number of training data was not different, because that data has no extrem variation, sothe pattern was faster to be recognized. Generally, ANN will give an accurate pattern recognation if the data is valid and the number of the data is quite enough.

Implementasi Wavelet Haar dan Jaringan Tiruan Pada Pengenalan Pola Selaput Pelangi Mata Yuwono Indro Hatmojo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 3 No 1: Februari 2014
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Eye iris pattern recognition is widely used for the purpose of identifying a person's identity. This is can be done because the iris is unique and has a high consistency and stability for years without changing. In this research we will perform iris image pattern recognition by the Haar level 3 wavelet transforms and the LVQ neural networks. This research is expected to know the iris images pattern recognition systems which are more effective; efficient also requires a short time in matching process on this method. The object in this research is the PNG color images with size of 128 x 128 pixels. Parameters used in this research are to varying value of learning rate 0.01 and 0.05, the number of neurons 30 and 40; and epoch value 100 and 200. The values of these parameters will be varied so that the obtained parameter values are the most effective, efficient and a relatively requires short time in the process of the iris image pattern recognition.Based on testing performed, the Haar level 3 wavelet transform combined with LVQ neural network in the process of finding the iris images. The method also gives fast matching process and high accuracy level. Changes in the values of learning rate, number of neurons and epoch value affect network performance. The iris matching process has the fastest time of 2.15 seconds and the higher of accuracy of 87% when the value of learning rate 0.01; the number of neurons 40 as well as the epoch value 100.

Co-Authors Edy Supriyadi Istanto Wahyu Djatmiko Kustono Kustono Muhammad Ali Sunaryo Soenarto Sunomo Sunomo Zamtinah Zamtinah

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