Garuda - Garba Rujukan Digital

p-Index From 2017 - 2022

4.829

P-Index

This Author published in this journals

All Journal Jurnal Rekayasa Elektrika IPTEK The Journal for Technology and Science Perfecting a Video Game with Game Metrics Proceeding of the Electrical Engineering Computer Science and Informatics Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Inotera JAVA Journal of Electrical and Electronics Engineering JNTETI (Jurnal Nasional Teknik Elektro dan Teknologi Informasi)

Mauridhi Hery Purnomo

Institut Teknologi Sepuluh Nopember

Author-ID : 349497

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 27 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Appearance Global and Local Structure Fusion for Face Image Recognition Arif Muntasa; Indah Agustien Sirajudin; Mauridhi Hery Purnomo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 1: April 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v9i1.678

Principal component analysis (PCA) and linear descriminant analysis (LDA) are an extraction method based on appearance with the global structure features. The global structure features have a weakness; that is the local structure features can not be characterized. Whereas locality preserving projection (LPP) and orthogonal laplacianfaces (OLF) methods are an appearance extraction with the local structure features, but the global structure features are ignored. For both the global and the local structure features are very important. Feature extraction by using the global or the local structures is not enough. In this research, it is proposed to fuse the global and the local structure features based on appearance. The extraction results of PCA and LDA methods are fused to the extraction results of LPP. Modelling results were tested on the Olivetty Research Laboratory database face images. The experimental results show that our proposed method has achieved higher recognation rate than PCA, LDA, LPP and OLF Methods.

Deteksi Gerak Otot Frontalis Berbasis Citra 3 Dimensi Menggunakan Gray Level Co-Occurrence Matrix (GLCM) Wibowo, Hardianto; Hery Purnomo, Mauridhi; Mulyanto Yuniarno, Eko
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 2, August-2016
Publisher : Universitas Muhammadiyah Malang

Ekspresi wajah atau mimik merupakan salah satu dari hasil gerak otot pada wajah. Dalam kamus besar bahasa Indonesia, ekspresi merupakan pengungkapan atau proses menyatakan, yaitu memperlihatkan atau menyatakan maksud, gagasan perasaan dan lain sebagainya. Ekspresi wajah atau mimik dipengaruhi oleh saraf tujuh atau nervuse facialis. Dalam penelitian yang dilakukan paul ekman didapat sebuah standarisasi ekspresi dalam format pergerakkan yang disebut dengan Facial Action Coding System (FACS). Dalam penelitiannya paul ekman menyatakan enam ekspresi dasar yaitu bahagia, sedih, terkejut, takut, marah dan jijik. Dalam anatomy otot, bahwa setiap otot yang bergerak pasti terjadi kontraksi, dan pada saat terjadi kontraksi, otot akan mengembang atau mengelembung. Otot dibagai menjadi tiga bagian yaitu origo dan insersio sebagai ujung otot dan belly sebagai titik tengah otot, jadi setiap terjadi gerakkan maka otot bagian beli akan mengembang atau menggelembung. Teknik pengambilan data yaitu dengan merekam data dalam bentuk 3D, setiap terjadi kontraksi maka otot bagian beli akan mengelembung dan data inilah yang akan diolah dan dibandingkan. Dari pengolahan data ini akan didapat kekuatan maksimum kontraksi yang akan dipakai sebagai acuan untuk besaran pergeseran otot khususnya pada otot frontalis. Dalam deteksi pergerakkan akan menggunakan metode gray level co-occurrence matrix (GLCM), dan akan didapatkan pula besaran pergeseran otot secara maksimal. Dari hasil pengujian didapatkan nilai pergeseran pergerakkan otot sebesar 1,367 4,460.

Penentuan Kualitas Kesegaran Ikan Dengan Citra Mata Menggunakan Support Vector Machine Arham, Arham; Purnama, I Ketut Eddy; Purnomo, Mauridhi Hery
JAVA Journal of Electrical and Electronics Engineering Vol 12, No 1 (2014)
Publisher : JAVA Journal of Electrical and Electronics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Frontalis Muscle Strength Calculation Based On 3D Image Using Gray Level Co-occurrence Matrix (GLCM) and Confidence Interval Hardianto Wibowo; Eko Mulyanto Yuniarno; Aris Widayati; Mauridhi Hery Purnomo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 1: February 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i1.6490

One of the effects of the disorders of nervus VII (n. Facialis) is the damage of facial muscle. The research is needed in order to detect or as the therapies aids on the damage of the VII nerve by measuring the strength of maximum contraction, to help a therapy or detect the damage which caused by the decreasing of the VII nerve function. These measurement is taken from the difference on myofibrin when the contractions, because when the contraction happen, the myofibrin will distend and the difference can be detected as the strength of contraction. From the result of the comparison, EMG with the test result is the shift muscle movement amount of 1.367 up to 4.460. The mean value of rest muscle is in the range of 0.635 with interval at+0.463, on the move muscles the mean value of the muscle moving is in the range of 3,563 with interval at+1,069. This test is linear with the data EMG.

New Algorithm for the Smoothing Speed Control of Induction Motor in Electric Car based on Self-Tuning Parameter PID-Fuzzy Logic Happyanto, Dedid Cahya; Soebagio, Soebagio; Purnomo, Mauridhi Hery
IPTEK The Journal for Technology and Science Vol 23, No 2 (2012)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v23i2.10

Driving system of electric car for low speed has a performance of controller that is not easily set up on large span so it does not give a comfort to passengers. The study has been tested in the bumpy road conditions, by providing disturbances in the motor load, it is to describe the condition of the road. To improve the system performance, the speed and torque controller was applied using Field Oriented Control (FOC) method. In this method, On-Line Proportional Integral Derivative Fuzzy Logic Controller (PID-FLC) is used to give dynamic response to the change of speed and maximum torque on the electric car and this results the smooth movement on every change of car performance both in fast and slow movement when breaking action is taken. Optimization of membership functions in Fuzzy PID controller is required to obtain a new PID parameter values which is done in autotuning in any changes of the input or disturbance. PID parameter tuning in this case using the Ziegler-Nichols method based on frequency response. The mechanism is done by adjusting the PID parameters and the strengthening of the system output. The test results show that the controller Fuzzy Self-Tuning PID appropriate for Electric cars because they have a good response about 0.85% overshoot at to changes in speed and braking of electric cars.

Automatic Segmentation of Impaired Joint Space Area for Osteoarthritis Knee on X-ray Image using Gabor Filter Based Morphology Process Anifah, Lilik; Purnama, I Ketut Eddy; Hariadi, Moch; Purnomo, Mauridhi Hery
IPTEK The Journal for Technology and Science Vol 22, No 3 (2011)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v22i3.72

Segmentation is the first step in osteoarthritis classification. Manual selection is time-consuming, tedious, and expensive. The system is designed to help medical doctors to determine the region of interest of visual characteristics found in knee Osteoarthritis (OA). We propose a fully automatic method without human interaction to segment Junction Space Area (JSA) for OA classification on impaired x-ray image. In this proposed system, right and left knee detection is performed using using Contrast-Limited Adaptive Histogram Equalization (CLAHE) and template macthing. The row sum graph and moment methods are used to segment the junction space area of knee. Overall we evaluated 98 kneess of patients. Experimental results demonstrate an accuracy of the system of up to 100% for detection of both left and right knee and for junction space detection an accuracy 84.38% for the right knee and 85.42% for the left. The second experiment using gabor filter with parameter Î±=8, Î¸=0, Î¨=[0 Î /2], Î³=0,8 and N=8 and row sum graph give an accuracy 92.63% for the right knee and 87.37% for the left. And the average time needs to process is 65.79 second. For obvious reasons we chose the results of the fourth to segment junction area in both right and the left knee.

Text Modeling in Adaptive Educational Chat Room Based on Madamira Tool H. Hammad, Jehad A.; Hariadi, Mochamad; Hery Purnomo, Mauridhi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

his paper discusses how to enhance the ability of text modeling in Arabic during chat sessions. Hanini and Jabari et al. modeled the text in chat sessions, but there is still a problem when using Arabic , because the Arabic language is very difficult to comprehend, has complex derivative and many ambiguities. This paper enhanced the previous study and added MADAMIRA tool to analyze the Arabic text. Monitoring and modeling has been completed through the text modeling process by evaluating the student expressions within the chat session using MADAMIRA tool and machine learning. MADAMIRA tool enables the modeling process to categorize Arabic text into different categories, which makes it easier to use the levels of the used expressions and discover the importance of the chat session between two peers. The process of the student modeling using MADAMIRA and Machine learning will update the student model which gathers information about the student achievements within the AVCM.

Performance Evaluation of 198 Village Governments using Fuzzy TOPSIS and Intuitionistic Fuzzy TOPSIS Wridhasari Hayuningtyas; Mauridhi Hery Purnomo; Adhi Dharma Wibawa
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 2, May 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i2.1393

Currently, volatility, uncertainty, complexity, and ambiguity (VUCA) have become unavoidable problems. In addition, knowledge or information that is not managed properly can result in inappropriate decision-making processes within an organization. Business Intelligence conception is then becoming an essential view for converting unstructured data and information into a more actionable strategic plan that allows organizations to make competitive decisions. Village Government (VG) is the smallest organization in the Indonesian government system because VG implemented regulation and development programs in all areas of a national government. VG executes a series of tasks every year starting from planning, budgeting, administrating, executing, and reporting. However, the important role of VG in the development of a country brings also some drawbacks such as corruption and other domino effects. Several factors have been identified that cause those problems such as lack of capabilities in managing village organization and human resources quality. Monitoring and evaluation regarding those VG performances normally have been done each year. However, measurable evaluation standard for VG performance until recently has not been determined nationally. This study is intended to make a comprehensive standard of village government performance assessment through a Good Governance Framework approach. This study involved 198 villages from Madiun Regency as a case study. Seventy-four measured parameters were proposed to evaluate VG performance mapping. Fuzzy TOPSIS is implemented to rank those 198 villages into 4 groups of VG performance levels. The fuzzy TOPSIS classification result has been validated by using manual scoring and the accuracy reached 86,4%.

Potential Usage of Solar Energy as a Renewable Energy Source in Petukangan Utara, South Jakarta Eka Purwa Laksana; Yani Prabowo; Sujono Sujono; Rummi Sirait; Nifty Fath; Ardyono Priyadi; Mauridhi Hery Purnomo
Jurnal Rekayasa Elektrika Vol 17, No 4 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i4.22538

Indonesia is a tropical country located on the equator. The average intensity of solar radiation in Indonesia is 4.8 kWh/m2. This makes Indonesia a country with new and ren ewable energy potential, one of which is solar panel technology. The first step that must be done in the process of installing solar panels in a place is to analyze the potential of solar energy. In this study, an analysis of the potential of solar energy as a new renewable energy source has been carried out at Budi Luhur University, North Petukangan, South Jakarta. Based on the research results, the maximum photovoltaic efficiency that can be achieved is 21.45%. During the day, the efficiency of the solar panels increases along with the ncrease in the value of the voltage obtained. However, the higher the panel temperature, the lower the efficiency of the solar panel. Therefore, a cooling system is needed to anticipate this.

Klasifikasi Sinyal Emg Pada Otot Tungkai Selama Berjalan Menggunakan Random Forest Darma Setiawan Putra; Adhi Dharma Wibawa; Mauridhi Hery Purnomo
Jurnal Inotera Vol. 1 No. 1 (2016): July-December 2016
Publisher : LPPM Politeknik Aceh Selatan

Sinyal electromyography (EMG) merupakan suatu sinyal elektrik yang terdapat dalam lapisan otot selama gerakan aktif. Cara orang berjalan ditentukan oleh struktur otot dan tulang sehingga cara berjalan ini adalah unik dan dapat digunakan sebagai data biometrik. Pada penelitian ini, kami mengklasifikasi data EMG dari delapan jenis otot tungkai selama percobaan berjalan normal: Rectus Femoris, Vastus Lateralis, Vastus Medialis, Bicep Femoris, Semitendinosus, Gastrocnemius Lateralis, Gastrocnemius Medialis, dan Tibialis Anterior. Enam orang subyek diminta untuk berjalan di laboratorium GaitLab dengan 8 buah elektroda EMG ditempel pada otot mereka. Subyek diminta untuk berjalan sebanyak 1 gait cycle dengan 3 kali pengambilan data. Total dataset EMG untuk klasifikasi adalah sebanyak 18 buah. Metode graph feature extraction dan principal component analysis digunakan untuk ekstraksi fitur data EMG. Metode Random Forest digunakan untuk mengklasifikasi data EMG berdasarkan subyek. Metode pelatihan dan pengujian data EMG menggunakan cross validation (CV). Akurasi klasifikasi yang dihasilkan dengan menggunakan metode graph feature extraction adalah sebesar 88.88% dan metode principal component analysis adalah sebesar 72.22%. Hasil ini menunjukkan bahwa data EMG ketika berjalan dari 8 jenis otot tungkai dapat digunakan untuk identitas biometrik gaya berjalan (gait).

Co-Authors Adhi Dharma Wibawa Adhi Dharma Wibawa, Adhi Dharma Adhi Kusmantoro Adri Gabriel Sooai Adriel Ferdianto Agustinus Bimo Gumelar Al Kindhi, Berlian Alamsyah Alamsyah Andi Setiawan Andreas Agung Kristanto Ardyono Priyadi Arham Arham, Arham Arif Muntasa Aris Nasuha Aris Widayati Aryo Nugroho Aryo Nugroho Atyanta. N. Rumaksari Berlian Al Kindhi Chastine Fatichah Chastine Fatichah Darma Setiawan Putra Dedid Cahya Happyanto Diana Purwitasari Diana Purwitasari Diana Purwitasari Effendy Hadi Sutanto Eka Purwa Laksana Eko Mulyanto Yuniarno Endang Setyati, Endang Esther Irawati Setiawan Esther Irawati Setiawan Esther Irawati Setiawan Evi Septiana Pane Evi Septiana Pane, Evi Septiana Fanani, Nurul Zainal Gunawan Gunawan Gunawan Gunawan H. Hammad, Jehad A. Hardianto Wibowo Hardianto Wibowo, Hardianto Hidayatillah, Rumaisah I Ketut Eddy Purnama I Made Gede Sunarya I Made Gede Sunarya Iman Fahruzi Indah Agustien Sirajudin Indar Sugiarto Joan Santoso Joan Santoso Joko Priambodo Khamid Khamid Kristian, Yosi Lilik Anifah Lukman Zaman Moch Hariadi Mochamad Hariadi Nasuha, Aris Nifty Fath Nova Rijati Nugroho, Supeno Mardi S. Nurul Zainal Fanani Priambodo, Joko Rika Rokhana Rima Tri Wahyuningrum Rima Tri Wahyuningrum Rokhana, Rika Rumaisah Hidayatillah Rumaksari, Atyanta. N. Rummi Santi Rama Sirait Setijadi, Eko Siti Rochimah Soebagio Soebagio Soetiono, Agung Dewa Bagus Sooai, Adri Gabriel Sujono Sujono Surya Sumpeno Sutanto, Effendy Hadi Tita Karlita Tita Karlita Tri Arief Sardjono Umi Laili Yuhana Vita Lystianingrum Budiharto Putri Wiwik Anggraeni Wridhasari Hayuningtyas Yani Prabowo Yosi Kristian Yosi Kristian Yulianto Tejo Putranto Yulianto Tejo Putranto, Yulianto Tejo Yuniarno, Eko M. Zaman, Lukman

Title

Found 27 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 27 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 27 Documents
Search