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Journal : PROSIDING SEMINAR NASIONAL

EFEKTIFITAS PEMANFAATAN PASIR PANTAI KUKUP DAN SILANE SEBAGAI FILLER BAHAN ISOLASI RESIN EPOKSI UNTUK ISOLATOR LISTRIK Moh Toni Prasetyo; Aris Kiswanto
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2015: Prosiding Bidang Teknik dan Rekayasa The 2nd University Research Colloquium
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Insulation materials that commonly used in air insulation, which, is operated at high voltage, are the porcelain, glass, and polymer materials. One of the insulating polymer materials that are used is epoxy resin because it has several advantages compared to that. However, this insulation material has a degradation of the surface due to environmental and cause insulation coated with dirt and chemicals in the long time. Material that was used in this research was epoxy resin polymer isolation using of comparison values (base material diglycidyl ether of bisphenol-A: hardener material metaphenylene diamine) were 1:1, with the increase of silane and high calcium coastal sand as filler by the value of 10%, 20%, 30%, 40%, and 50%. Research was done in laboratory according to standard IEC 587: 1984. In this study, the effect of variation in stoichiometry to the hydrophobic contact angle value, leakage current waveforms, and surface degradation caused by erosion and tracking processes and tracking time were analyzed. From the results of the research, it was obtained that the epoxy resin that was used in this research are categorized as hydrofobik and partially wetted. The increase concentration of silane dan Kukup coastal sand as filler caused the increase in contact angle which meant the increase in surface insulation resistance, so that leakage currents flew on the surface not easily and slow down the aging or the degradation decreasing on the surface of insulating material. Concentration value of filler that had the optimal performance of the tracking process and erosion was 40%.Keywords : angle of contact, epoxy resin, hidropobik, isolator, leaky current, materials filler
Pembuatan Alat Uji Kekasaran Permukaan (Surface Roughness Test) Rubijanto JP.; Aris Kiswanto; Moh. Subri
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2004: PROSIDING SEMINAR NASIONAL HASIL-HASIL PENELITIAN
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Gesekan antara dua atau lebih elemen mesin akan membawa konsekuensi keausan pada elemen-elemen yang saling berkontak tersebut. Dengan kemajuan teknologi manufaktur. kualitas presisi suatu elemen mesin semakin meningkat. Dalam presisi tinggi, kekasaran permukaan sangat berpengaruh dalam kinerja elemen mesin tersebut.Dengan nilai kekasaran permukaan yang tepat, koefisien gesekan permukaan dari suatu elemen mesin akan mudah ditentukan dan akan menjadi suatu data yang penting dalam suatu perancangan.
DETEKSI EPILEPSI DENGAN PCA Siswandari Noertjahjani; Aris Kiswanto; Heri Dwi Santosa
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Publikasi Hasil-Hasil Penelitian dan Pengabdian Masyarakat
Publisher : Universitas Muhammadiyah Semarang

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Abstract

The main purpose of this study is to early detection of symptoms of epilepsy symptoms on the introduction of normal EEG signaling patterns with epilepsy (abnormal) EEG signals. There are 5 characteristics of statistics used are mean, variant, kurtosis, entropy, skweness. Electrodes used in EEGs usually have 19 channels: FP1, FP2, F7, F3, F2, F4, F8, C3, CZ, C4, P3, P4, PZ, O1 and OZ. While in this research only use FP1 electrode with 2 second signal cutting. Extraction of normal wave characteristics and epilepsy using PCA (principle componen analysis). PCA method is very appropriate to use if the existing datahas a large number of variables and has a correlation between variables such as EEG signals.  The calculation of the principal component analysis is based on the calculation of eigenvalues and eigenvectorsexpressing the dissemination of data from a dataset and capable of reducing the high dimension to a low dimension, without losing the information contained in the original data.Keywords-epilepsy, EEG, FP1