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All Journal ACI (Acta Cardiologia Indonesiana) Indonesian Journal of Electrical Engineering and Computer Science Journal of Mechanical Engineering
Herianto Herianto
Department Of Mechanical & Industrial Engineering, Gadjah Mada University, Yogyakarta
Automotive Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology

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3 Dimensional Printing in Cardiology: Innovation for Modern Education and Clinical Implementation Putrika Prastuti Ratna Gharini; Herianto Herianto; Nur Arfian; Ferdinandus Bayu Satria; Nur Amin
ACI (Acta Cardiologia Indonesiana) Vol 4, No 2 (2018)
Publisher : Faculty of Medicine, Public Health and Nursing Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aci.40855

Abstract

Medical uses of three-dimension (3D) printing have advantages for many importances, such as tissue and organ fabrication, creation of prosthetics, and model structural anatomy. Visualization of 3-dimensional structure of heart for the importance of examination, management or education is not fully comprehensive describe toward the complexity of anatomical structure and also toward the illustration of medical procedure. The aim of this study was to identify the potential application of heart’s 3D printing for the enhancement of case understanding for doctor, medical students or residents and also for patient and its family. A normal model of heart is used in this research to stimulate next 3D object in cardiology area.We retrieved data from patients’ CT scan performed in Gadjah Mada University Hospital, Yogyakarta from December 2017 to March 2018. Our focus is on normal heart anatomy. Data from CT scan results are exported into Digital Imaging and Communications format (DICOM), then dimension measurement and threshold segmentation are performed using Mimics Medical 20.0 (Materialise) application. Finally the file must be exported into STL format due to final process to cut the desirable parts using Mesh editing application. After the final model has been done, then it will be printed by fuse deposition method to make a 3D object.The making and implementing 3D printingof heart model has many advantages for medical education especially for the doctor, medical students or residents and also for the patient and its family to be more aware on the condition of the heart. This study may stimulate another trial of using this technique into several heart abnormalities
PENGARUH PRINTING SPEED TERHADAP TINGKAT KEKASARAN PERMUKAAN HASIL ADDITIVE MANUFACTURING DENGAN POLYLACTIC ACID FILAMENT Ikhwan Taufik; Herru Santosa Budiono; Herianto Herianto; Deni Andriyansyah
Journal of Mechanical Engineering Vol 4, No 2 (2020): Journal of Mechanical Engineering
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/jom.v4i2.3412

Abstract

Tingkat kekasaran permukaan (Surface Roughness) merupakan salah satu hal penting dalam menentukan kualitas sebuah objek dalam dunia manufaktur tidak terkecuali teknologi Additive Manufacturing. Teknologi yang sering juga disebut 3D Printing ini juga merupakan salah satu teknologi kunci di Era Revolusi Industri 4.0 yang sedang berlangsung saat ini. Penelitian ini bertujuan untuk mengetahui pengaruh Printing Speed terhadap Surface Roughness produk yang dibuat menggunakan teknologi 3D Printing. Printing Speed merupakan salah satu parameter yang dapat diatur dan ditetapkan sebelum proses slicing dilakukan. Dalam penelitian ini, Printing Speed ditentukan 60 mm/s saat proses slicing menggunakan aplikasi CURA. Namun, variasi Printing Speed ini diatur di mesin 3D Printing yaitu 50% (spesimen ke-1), 100% (spesimen ke-2), dan 150% (spesimen ke-3). Pengukuran Surface Roughness dilakukan menggunakan Profilometer produk dari Mitutoyo seri Surftest SJ-210. Dengan batasan-batasan parameter yang ada di dalam penelitian ini, bisa disimpulkan bahwa nilai rata-rata hasil pengukuran tingkat kekasaran permukaan atau surface roughness (Ra) cenderung meningkat (semakin kasar) jika printing speed semakin ditingkatkan.
System Diagnosis of Coronary Heart Disease using A Combination of Dimensional Reduction and Data Mining Techniques: A Review Wiharto Wiharto; Hari Kusnanto; Herianto Herianto
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 2: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i2.pp514-523

Abstract

Coronary heart disease is a disease with the highest mortality rates in the world. This makes the development of the diagnostic system as a very interesting topic in the field of biomedical informatics, aiming to detect whether a heart is normal or not. In the literature there are diagnostic system models by combining dimension reduction and data mining techniques. Unfortunately, there are no review papers that discuss and analyze the themes to date. This study reviews articles within the period 2009-2016, with a focus on dimension reduction methods and data mining techniques, validated using a dataset of UCI repository. Methods of dimension reduction use feature selection and feature extraction techniques, while data mining techniques include classification, prediction, clustering, and association rules.
Co-Authors Deni Andriyansyah Ferdinandus Bayu Satria Gharini, Putrika Prastuti Ratna Hari Kusnanto Herru Santosa Budiono Nur Amin Nur Arfian Taufik, Ikhwan Wiharto Wiharto