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All Journal Rekayasa Mesin JURNAL PETERNAKAN IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Linguistics and Elt Journal Al-Tsaqafa: Jurnal Ilmiah Peradaban Islam Journal of English Teaching, Literature, and Applied Linguistics JURNAL PENELITIAN PENDIDIKAN BAHASA DAN SASTRA CALL Journal of English Language and Education Journal of English Development Prosiding University Research Colloquium Saksama: Jurnal Sastra
Yoga Sudarisman
UIN Sunan Gunung Djati Bandung
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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DETEKSI CACAT BANTALAN GELINDING BERBASIS ALGORITMA DECISION TREES DAN PARAMETER STATISTIK Kamiel, Berli Paripurna; Anjarico, Fauzan; Sudarisman, Sudarisman
Jurnal Rekayasa Mesin Vol. 14 No. 3 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i3.1351

Abstract

Rolling bearings are a common machine element found in rotary machines. The components in the rolling bearing such as the inner race, outer race, rolling element, and cage are the parts that are often damaged. Traditionally spectrum analysis is used to diagnose bearing defects. However, spectrum analysis is not effectively applied to bearings with early defects because the vibration signal generated is dominated by frequency components from other machine elements, so the frequency of bearing defects cannot be observed. This study proposes an alternative method of detecting bearing defects based on vibration signals using machine learning with a decision tree algorithm. This method is more effective than the spectrum analysis method because machine learning is based on feature extraction and pattern recognition of vibration signal data, therefore, providing classification results directly without further analysis. Vibration signals were recorded using an accelerometer mounted on a bearing housing on a test rig. Nine-time domain statistical parameters and six frequency domain statistical parameters were extracted from the vibration signal and then used as input for decision trees. The results show that the decision trees algorithm gives an accuracy of 94.4% for classifying three rolling bearing conditions using the input of 6 selected frequency domain statistical parameters.
The Effect of Slaughter Age and Gender of Broiler Cobb Strain on Body Weight, Carcass Weight, and Carcass Percentage Purnomo, Agus; Sudarisman, Sudarisman; Prihtiyantoro, Wahyu; Agustin, Citravia
Jurnal Peternakan Vol 21, No 1 (2024): Februari 2024
Publisher : State Islamic University of Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jupet.v21i1.23345

Abstract

Demand for chicken consumption in Indonesia tends to increase every year. Broiler chickens were slaughtered at short age than past years, recently about 4 to 6 weeks. Total of 28 to 42 day old broiler chicks were distributed to completely randomized design in factorial scheme (4,5 and 6 weeks old) and 2 (male and female). All of evaluated were live body weight (LBW), carcass weight (CW), and carcass percentage (CP). Analyzed used Two Way analysis of variane (ANOVA) using SPSS with 5 replication. Duncan Multiple Range Test (DMRT) to determine the differences among treatment means.  The result showed that live body weight had unsignificantly effect of sex but affect (P<0.05) to slaughter age (4, 5 and 6 weeks) it was 1460 g, 1881 g and 2310 g. The means of carcass weight with different sex of male and female had unsignificantly effect it was 1.283 g and 1.223, so do the carcass percentage was 69.43 % and 70.15%. This research can be concluded that difference sexing un affect to body weight (1.891 g), carcass weight (1.253 g) and carcass percentage (69.79%), but the female broiler get higher than male broiler. Thus slaughter age affect (P<0.05) to body weight, carcass weight and carcass percentage, at 4 weeks old was tend to decrease but increasily at 5 weeks and 6 weeks old. The best body weight, carcass weight and carcaas percentage at 5 weeks old, according to market demand. 
Co-Authors Agus Purnomo Agustin, Citravia Al kahfi, Fahmi Haidar Anjarico, Fauzan Assiddiqi, Hasbi Awaludin, Lili Bunyamin Faisal Dian Nurrachman, Dian Erlan Aditya Ardiansyah Fadilah, Nizam Faisal, Bunyamin Fauzi, Erfan Muhamad Haykal, Muhammad Hendrajat, Sulthan Bonang Hkikmat, Mahi M Hkikmat, Mahi Mamat Irdan Hildansyah Jati, Susena Jidan Mustopa Kamiel, Berli Paripurna Kustanti, Dewi Lili Awaludin Nanda Amelia Handaeni Nofriady. H Nugraha, Andita Shabirah Putri Nurholis Nurholis, Nurholis Pauji, Resa Restu Priyawan, Pepen Rahayu, Tia Rachel Ramdhan, Mochamad Akmal Rifqiana, Widaad Rosediana, Erika Intan Ruminda Ruminda Safanah, Qayla Putri Sri Nuraini, Sri Sulthan Bonang Hendrajat Syahrevi Khairani Syarifudin, Bunyamin Faisal Thasyalina Amarthalia Tia Rachel Rahayu Tiara Meisyarani, Zaskia Viki Savira Nasyarin Wahyu Prihtiyantoro Yatmikasari, Ika Yudha Nur Widiananta Yulianti, Sinta Augina Yuyun Nurulaen, Yuyun