Ni Nyoman Suwarmini
Departemen Teknik Mesin Institut Teknologi Sepuluh Nopember

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Identifikasi Keausan Bantalan Tirus (Tapered Bearing) Berbasis Analisis Vibrasi dengan Metode Support Vector Machine (SVM) Faisal Rahman Adi; Suwarmin Suwarmin
Jurnal Teknik ITS Vol 6, No 2 (2017)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.346 KB) | DOI: 10.12962/j23373539.v6i2.27527

Abstract

Data mining memiliki arti kegiatan yang meliputi pengumpulan, pemakaian data historis untuk menemukan keteraturan, pola atau hubungan, dalam set data berukuran besar[21]. Data mining fokus pada prediksi dan deskripsi data. Support Vector Machine (SVM) adalah salah satu teknik dari data mining, digunakan untuk menyelesaikan kasus klasifikasi dan regresi data. Dalam penelitian ini metode SVM digunakan untuk mengidentifikasi keausan pada bantalan tirus (tapered bearing). Data yang digunakan adalah data yang berasal dari analisis vibrasi. Pengujian analisis vibrasi dilakukan pada bantalan yang tidak mengalami keausan (normal) dan bantalan yang mengalami keausan. Keausan pada inner race diamati pada BPFI, keausan pada outer race diamati pada BPFO. Data vibrasi dari kedua bantalan tersebut disatukan menjadi database. Database tersebut dibagi menjadi data testing dan data training. Keausan pada bantalan dapat diidentifikasi salah satunya melalui spektrum data vibrasi dimana muncul sideband di daerah BPFO untuk outer race dan BPFI untuk inner race dengan nilai ± 1x FTF. Identifikasi keausan melalui metode SVM menghasilkan model dengan mengumpulnya data BPFI atau BPFO sebagai indikasi terdapat keausan pada bantalan tersebut. Optimasi metode SVM dilakukan dengan metode K­-fold yang menghasilkan metode SVM dengan keakurasian tertinggi.
PENGARUH BLENDING KOPI ROBUSTA DAN ARABIKA TERHADAP KUALITAS SEDUHAN KOPI Ni Nyoman Suwarmini; Sri Mulyani; I.G. Ayu Lani Triani
JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI Vol 5 No 3 (2017): September
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.032 KB)

Abstract

This study aims to determine the effect of blending of robusta and arabica coffee on the quality of brewed coffee and determine the blending ratio that produces the best coffee brew. This study used a Completely Randomized Design (RAL) with six treatments of blending ratio of robusta and arabica coffee (0: 100; 20:80; 40:60; 60:40; 80:20; and 100: 0)%. Data were analyzed variance and if there was effect of treatment on observed variables followed by Ducan test. The results showed that blending treatment had a very significant effect on pH, caffeine, juice, and holistic acceptance of coffee (overalls). Based on the holistic favorite level of coffee, the best treatment is obtained from blending arabica : robusta coffee ratio (100: 0; 80:20; 60:40 and 40: 60)%, yielding coffee brewed with pH 5.26-5, 01, the kadar sari content 25,67 - 24,94%, caffeine content 2,16 - 1,50% Keywords: blending, robusta coffee, arabica coffee and brewed coffee
Technical Study of the Performance of Liquid Sulfur Combustion in the Process of Sulfuric Acid Production Suwarmin Suwarmin; Bambang Sudarmanta; Nur Ikhwan
JMES The International Journal of Mechanical Engineering and Sciences Vol 2, No 1 (2018)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v2i1.5171

Abstract

The production process of sulfuric acid is carried out in stages from combustion of liquid sulfur to SO$_2$, then to SO$_3$ and dissolving SO$_3$ in aqueous sulfuric acid solution to concentrated sulfuric acid (high concentration). The success of the production process is very dependent on the initial combustion process into SO$_2$, physical parameters on the liquid sulfur characteristics and the nozzle geometry. The process of burning liquid sulfur depends on the pattern of atomization in the geometry of the nozzle and its fluid characteristics. Liquid sulfur is included in non-newtonian fluids, so the atomization process requires an understanding of its characteristics. The atomization mechanism at the nozzle depends on 3 parameters including viscosity, surface tension and density. In non- Newtonian fluid 3 parameters are sensitive to changes in pressure and temperature. In terms of the geometry of the tip nozzle diameter, smaller diameter, the atomization process is better, but a decrease in temperature will cause clogging. Individual installation of temperature and pressure sensors for each nozzle is chosen so that the atomization of each nozzle can be controlled.