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A Tiered Approach On Dimensional Reduction Process for Prediction of Coronary Heart Disease Wiharto Wiharto; Herianto Herianto; Hari Kusnanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp487-495

Abstract

The use of dimensional reduction in the diagnostic system model of coronary heart disease, many same of case do not take into account the clinical procedures commonly used by clinicians in diagnosis. This requires that the examination be done thoroughly, thus making the high cost of diagnosis. This study aims to develop a tiered approach model in reducing dimensions for predicting CHD. The method in this research is divided into several stages, namely preprocessing, building the knowledge base and system testing. Preprocessing consists of several processes, namely the removal of missing value data, grouping attributes, and dividing data for training and testing. Knowledge base modeling is divided into three levels. The first level were the risk factor attributes, the second level were the type of chest pain & ECG, and the third were scintigraphy & coronary angiography. The knowledge base was modeled based on fuzzy rules and its inferencing process using Mamdani method. The first, fuzzy rule-based was obtained by using the FRS study. The second and third stage, using the induction rule algorithm to get the rule, then converted to fuzzy rule. The tested algorithm were C4.5, CART, and FDT. The system testing was performed by the 5-folds cross-validation method, with performance parameters based on population and individual. The test resulted using the Cleveland and Hungarian datasets, the FRS+CART combination was capable of reducing the most attributes and the highest likelihood ratio performance parameter, which was 15.96. FRS+C4.5, at least the attributes were reduced, but has an AUC performance of 80.43%, while FRS+FDT, more reduced attributes than FRS+C4.5, and AUC performance parameters are better than FRS+CART. Dimensional reduction model for prediction of CHD, capable of providing better performance than not tiered.
Improvement of Fuzzy Based Practical Controller for Continuous Motion Control Purtojo Purtojo; Heru S. B. Rochardjo; Gesang Nugroho; Herianto Herianto
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

This article presents a development of a fuzzy based nominal characteristic trajectory following (NCTF) controller for continuous motion control. A new structure is proposed in order to achieve excellent performance of tracking to a continuous reference input and also for point-to-point positioning task. The proposed structure maintains the NCTF controller simple configuration which is composed of a nominal characteristic trajectory (NCT) and a compensator. The compensator is based on a Mamdani type fuzzy controller. Its membership functions are designed according to the available information provided by NCT and the hardware specification. Controller performance was evaluated through simulation by comparing it with the existing method previously proposed for the fuzzy based NCTF controller. The tracking performance was evaluated by measuring responses of the system providing continuous sinusoidal signal input. The result indicates that substantial improvement is achieved in tracking of continuous reference inputs. Moreover, a better result is also obtained in performing point-to-point positioning task.DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.7008
IDENTIFIKASI KEPENTINGAN RELATIF KONSUMEN TERHADAP ROBOT REHABILITASI PASIEN PASCA STROKE DENGAN MENGGUNAKAN CONJOINT ANALYSIS Hasan Mastrisiswadi; Herianto Herianto
J@ti Undip: Jurnal Teknik Industri Volume 12, No. 1, Januari 2017
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.459 KB) | DOI: 10.14710/jati.12.1.35-42

Abstract

Robot rehabilitasi pasien pasca stroke saat ini telah dikembangkan oleh negara-negara maju di dunia, tidak terkecuali Indonesia meskipun sebagai negara berkembang. Salah satu pengembang robot rehabilitasi pasien pasca stroke itu berada di Universitas Gadjah Mada yang telah melakukan penelitian beberapa tahun ini. Penelitian ini bertujuan untuk mengidentifikasi kepentingan relatif konsumen terhadap robot rehabilitasi pasien pasca stroke untuk kemudian digunakan sebagai bahan masukan dalam pengembangan robot selanjutnya. Metode yang digunakan dalam penelitian ini adalah Conjoint Analysis. Metode ini memiliki keunggulan dalam menganalisis trade off antar atribut. Dari hasil pengolahan Conjoint Analysis dengan bantuan program SPSS, dapat diketahui bahwa kebutuhan konsumen paling tinggi terhadap robot rehabilitasi pasien stroke adalah  dapat dipasangkan ke tangan pasien dengan mudah, baru setelah itu kemampuannya untuk dipakai di kedua tangan (kanan dan kiri) dan material yang digunakan dalam pembuatan robot haruslah aman bagi pasien.AbstractPost-stroke rehabilitation robot has been developed in the world, including Indonesia as a developing country. One of this robot developers is Universitas Gadjah Mada who has conducted research for post stroke rehabilitation robot in recent years. This study aims to identify the consumer’s relative importance of the  post-stroke rehabilitation robot that can be used for the next robot development. The method used in this study is Conjoint Analysis. This method has the advantage in analyzing trade-offs between attributes. From this research, we have known that the highest rank of the robot consumer needs are: can be attached to the patient's hand with ease, the ability to be used in both hands (right and left) and the movement of the robot which can be varied according to the needs of the patient.
MONITORING DAN ANALISIS MESIN 3D PRINTING BERBASIS SENSOR GETARAN UNTUK MENGOPTIMALKAN KUALITAS HASIL Ikhwan Taufik; Herianto Herianto; M. K. Herliansyah
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 1 No 1 (2017)
Publisher : Politeknik Piksi Ganesha Indonesia

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Abstract

Today, printing technology not only talking about paper, plastic, and the other flat media. Printing technology can make a three dimensional object like the picture at the soft file. Mostly, the printing technology is used to create or print a prototype object and object that is not mass-produced. The application of 3D printing technology can be found in industry, health, architecture, fashion, and even food. This research raises one of the techniques of 3D Printing technology. That is Fused Deposition Modeling (FDM) which applies Material Extrusion process to build a three dimensional product. The material is filament made of thermoplastic material, metal wire, and other. The filament is inserted into the extruder part (extrusion head nozzle in 3D Printing machine) and melted by heating. Models are produced by extrusion of material streams that form layers and re-harden immediately. Extrusion process in making the model of the material will certainly cause a movement and vibration caused by the printing process is running. This article presents the results of vibration measurements on a 3D printer machine and the result of measuring the surface roughness level on the specimens of the printing process using a 3D printer C01. The Type is cartesian. In addition, this study aims to study and analyze the amount of vibration generated during the printing process takes place. It is associated with the impact that occurs on the quality of printing. With the monitoring during the printing process, it is expected to predict the level of quality of the printing results more early. However, the results of the measurements in this study was not seen any significant influence. The visible vibration is just on the X axis. Surface Roughness measurements for the first specimen, the specimens with 50% printing speed have an average surface roughness level of = 8,6485 μm. Specimens with 100% printing speed have an average surface roughness level of = 8.2893 μm. Specimens with 200% printing speed have an average surface roughness level of = 7.864 μm.
PENGARUH PERUBAHAN TEMPERATUR DAN KOMPOSISI TERHADAP TEKSTUR DAGING ANALOG YANG DIHASILKAN MENGGUNAKAN TEKNIK EKSTRUSI Giovan Ganandy; Herianto Herianto
Jurnal Rekayasa Mesin Vol. 13 No. 3 (2022)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v13i3.1283

Abstract

Analogue meat products currently available are plant-based meats which have a texture and taste like conventional meats. The commonly used ingredient is soy protein. The purpose of this study is to see the interaction of the parameters of the percentage of soybean flour Isolated Soy Protein (ISP) and wheat flour Wheat Flour (WF), water content parameters, barrel temperature parameters, and oil content parameters on the texture of the analog meat. The extrusion process is carried out by a twin screw extrusion machine operates at speed of 50 rpm. The material is then fed into the extruder machine through the hopper. The specimen to be tested is in the form of a cylinder with a diameter of 10mm and a length of 50mm. Texture analysis test was carried out using the Brookfield CT3 Texture Analyzer machine. test results were analyzed using Analysis of Variance (ANOVA) and Turkey test. The barrel temperature parameter has the most influence on the Hardness, Adhesiveness, Gumminess and Chewiness values, while the water content parameter has the most influence on the Cohesiveness value, and the oil content has the most influence on Springiness. The interaction between the parameters of barrel temperature and water content (temperature*water) has a significant effect on Hardness, Gumminess and Chewiness (Turkey's test, p<0.05). Meanwhile, the interaction of the parameters of water content and oil content (water*oil) did not show a significant effect (Turkey's test, p<0.05) on the results of the texture analysis test. Meanwhile, the interaction of oil*temperature parameters showed a significant effect (Turkey's test, p<0.05) on Gumminess and Chewiness.
Smoothing Module for Optimization Cranium Segmentation Using 3D Slicer Gilang Argya Dyaksa; Nur Arfian; Herianto Herianto; Lina Choridah; Yosef Agung Cahyanta
International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v5i1.6300

Abstract

Anatomy is the most essential course in health and medical education to study parts of human body and also the function of it.  Cadaver is a media used by medical student to study anatomical subject. Because of limited access to cadaver and also due to high prices, this situation makes it necessary to develope an alternative anatomical education media, one of them is the use 3D printing to produce anatomical models. Before 3D Print the cranium, it is necessary to do the segmentation process and often the segmentation result is not good enough and appear a lot of noises. The purpose of this research is  to optimize a 3D cranium based on DICOM (digital imaging and communications in medicine) data processing using the smoothing modules on 3D Slicer. The method of this research is to process the Cranium DICOM data using 3D Slicer software by varying the 5 types of smoothing modules. The results with default parameter fill holes and median have better results compared to others. Kernel size variations are performed for smoothing module fill holes and medians. The result is fill holes get optimal segmentation results using a kernel size of 3 mm and the median is 5 mm
Biomechanical and Perceived Comfort Analysis of FDM 3D-Printed Insoles for Flatfoot Treatment: A Systematic Literature Review Lina Dianati Fathimahhayati; Ardiyanto Ardiyanto; Fitri Trapsilawati; Xiao Liu; Ali Zolfagharian; Herianto Herianto
Jurnal Optimasi Sistem Industri Vol. 24 No. 2 (2025): Published in December 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n2.p345-366.2025

Abstract

Flatfoot (pes planus), characterized by a reduced or absent medial arch, cause biomechanical disorders, pain and a risk of injury. Customized insoles are a key intervention, with the emergence of 3D printing fused deposition modelling (FDM) based on flexible materials such as thermoplastic polyurethane (TPU) and thermoplastic elastomer (THE). This systematic literature review, based on PRISMA guidelines and analysis of six Scopus studies, assesses the biomechanical and ergonomic properties of these insoles. The results show that flexible 3D printed inserts significantly improve biomechanics by increasing the height of the navicular arch, reducing excessive ankle joint eversion, increasing dorsiflexion and improving the distribution of plantar plate pressure. Regarding perceived comfort, evaluations using the Visual Analog Scale (VAS), the Likert scale and the American Orthopaedic Foot and Ankle Society (AOFAS) questionnaire consistently indicate improved user comfort over no insole or conventional option. Despite these advantages, challenges include limited material options, inconsistent print quality and technical fabrication problems. Further research is needed, especially large-scale studies, to resolve these problems and to improve the clinical use of the product. In conclusion, flexible inserts printed with FDM have the potential to improve both the biomechanical function and the perceived comfort of the footwear use.
The impact of nozzle temperature on the shrinkage of annealed 3D printed PLA Sugianto Sugianto; Meriatun Meriatun; Pristiansyah Pristiansyah; Ramli Ramli; Atikah Araminta Wardiyah; Hasdiansah Hasdiansah; Herianto Herianto
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8196

Abstract

Thermal annealing is used to strengthen the mechanical performance and thermal stability of fused deposition modeling (FDM) parts made from polylactic acid (PLA). This treatment frequently introduces dimensional shrinkage, compromising geometric accuracy and limiting the reliability of printed components in demanding applications. Among the printing parameters, nozzle temperature is a key variable because it influences melting behavior, interlayer diffusion, and the buildup of internal stresses, yet its role in managing shrinkage after annealing has not been clearly established. This study evaluates the influence of nozzle temperature on the anisotropic shrinkage of annealed PLA specimens across different specimen lengths and measurement directions (X and Y), with the main analysis conducted at selected nozzle temperatures ranged 195-230°C. Dimensional changes were quantified before and after annealing at 100°C for 60 min, and statistical evaluation was performed using analysis of variance (ANOVA) with post-hoc testing based on replicated specimens. The results confirm nozzle temperature as a significant contributor to shrinkage behavior, F (2,36) = 30.90, p 0.001, partial η²=0.63. Printing at 230°C consistently yielded the smallest dimensional reduction, outperforming both 210°C and 220°C. Within the examined range, 230°C emerges as the most effective nozzle setting for minimizing annealing-induced shrinkage, offering a practical processing window to improve dimensional accuracy and functional reliability in FDM-printed PLA parts.
Experimental evaluation of static thrust performance of an FDM-printed TPU 95A waterjet thruster Hasdiansah Hasdiansah; Herianto Herianto; Masdani Masdani; Ramli Ramli; Dafi Bazilah; Muhammad Haritsah Amrullah; Zaldy Sirwansyah Suzen; Muhamad Riva&#039;i; Idiar Idiar; Muhammad Subhan
Jurnal Polimesin Vol 24, No 4 (2026): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i4.9048

Abstract

Waterjet propulsion systems manufactured by Additive Manufacturing (AM) offer potential advantages for lightweight marine applications, but experimental data on the static thrust performance of polymer-based waterjet thrusters remain limited. This study presents an experimental investigation of the static thrust performance of a waterjet thruster fabricated from Thermoplastic Polyurethane (TPU 95A) using Fused Filament Fabrication (FFF). Static thrust was measured at rotational speeds of 1500, 3000, 4500, 6000, 7500, and 9000 rpm using a 13 hp internal combustion engine. The results showed a consistent increase in static thrust with rotational speed, from 20 N at 1500 rpm to a maximum of 170 N at 9000 rpm. However, the increase in thrust became less proportional at higher rotational speeds, indicating increasing hydraulic and mechanical losses. These losses may be associated with flow separation, turbulence, tip leakage, and elastic deformation of the TPU impeller under hydrodynamic and centrifugal loading. Despite this behavior, there is not any abrupt thrust fluctuations were observed throughout the tested operating range, indicating stable static thrust generation. The maximum thrust of 170 N demonstrates the capability of the FDM-printed TPU 95A thruster to generate measurable propulsion force under static conditions. The results provide experimental reference data for the development and optimization of additively manufactured waterjet thrusters for small-scale marine propulsion applications.