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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Tibuana : Journal of Applied Industrial Engineering Jurnal Abadimas Adi Buana Wahana : Tridarma Perguruan Tinggi WAKTU: Jurnal Teknik UNIPA Jurnal Elemen JE-Unisla Journal of Electrical Engineering and Computer (JEECOM) Prosiding SNAST Best : Journal of Applied Electrical, Science and Technology Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Industrial and Domestic Waste Management Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat
Sagita Rochman
Universitas PGRI Adi Buana Surabaya
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Other

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Journal : Tibuana : Journal of Applied Industrial Engineering

 1 
CLASSIFICATION OF THE QUALITY OF HONEY USING THE SPECTROFOTOMETER AND MACHINE LEARNING SYSTEM BASED ON SINGLE BOARD COMPUTER Rochman, Sagita; Mukhtar, M Nushron Ali
Tibuana Vol 2 No 01 (2019): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.2.01.1774.45-49

Abstract

Honey is a natural sweet substance produced by bees with nectar flower ingredients containing various nutrients such as carbohydrates, proteins, amino acids, vitamins, minerals, plant pigments and aromatic components. Honey consists of water (17%), fructose (38.2%), glucose (31.3%), other disaccharides (5%), melezitose (<0.1%), erlose (0.8%) , other oligasakarida (3.6%), minerals (0.2%), amino acids (0.3%). It also contains anti-microbial substances, which can prevent some disease on human. Because it has a high economic value and contains unique substances, honey is often falsified. Honey can be faked in various ways by mixing natural artificial sweetener components or by giving the sugar (sucrose) into the honey, so it is dangerous if given to infants or people suffering from diabetes mellitus. The design of this research used spectrofotometer methode and pattern recognition algorithm (machine learning) system for classifying honey quality. It is based on honey having a chromophore group responsible for absorbance, electronic transition and color giver. We can also knowing the type of honey by using pattern recognition algorithm support vector machine.In this research is used three types of honey to using a spectrophotometer at a wavelength of 500 nm, the absorbance obtained in randu honey type of 0.523-0.654, coffee honey for 0.735-0.824, and rubber honey by 0.947-1.043.
DESIGN OF VERTICAL AXIS SAVONIUS WINDMILL FOR GENERATING ELECTRICITY USING PERMANENT MAGNET Rochman, Sagita
Tibuana Vol 3 No 01 (2020): Tibuana Vol.3 No.1 Tahun 2020
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.3.01.2206.61-66

Abstract

At present the use of wind energy in Indonesia is still relatively low, but has enormous potential. One reason is because the average wind speed in the territory of Indonesia is classified as low wind speed, which ranges from 3 m / s to 5 m / s making it difficult to produce electrical energy on a large scale. However, the wind potential in Indonesia is available almost all year long, making it possible to develop small-scale power generation systems. Innovations in modifying windmills need to be developed so that in conditions of low wind speeds can produce electrical energy. In this research, a prototype was developed by designing a vertical axis windmill power plant model Savonius using a permanent magnet generator, which can produce optimal electrical energy by utilizing relatively low wind speeds.From the generator test it was found that with a rotor rotation of 50 rpm up to 500 rpm can produce an electrical voltage of 0.02V to 10V and an electric current of 0.60A to 4.53A.
CLASSIFICATION OF THE QUALITY OF HONEY USING THE SPECTROFOTOMETER AND MACHINE LEARNING SYSTEM BASED ON SINGLE BOARD COMPUTER Sagita Rochman; M Nushron Ali Mukhtar
Tibuana Vol 2 No 01 (2019): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (82.059 KB) | DOI: 10.36456/tibuana.2.01.1774.45-49

Abstract

Honey is a natural sweet substance produced by bees with nectar flower ingredients containing various nutrients such as carbohydrates, proteins, amino acids, vitamins, minerals, plant pigments and aromatic components. Honey consists of water (17%), fructose (38.2%), glucose (31.3%), other disaccharides (5%), melezitose (<0.1%), erlose (0.8%) , other oligasakarida (3.6%), minerals (0.2%), amino acids (0.3%). It also contains anti-microbial substances, which can prevent some disease on human. Because it has a high economic value and contains unique substances, honey is often falsified. Honey can be faked in various ways by mixing natural artificial sweetener components or by giving the sugar (sucrose) into the honey, so it is dangerous if given to infants or people suffering from diabetes mellitus. The design of this research used spectrofotometer methode and pattern recognition algorithm (machine learning) system for classifying honey quality. It is based on honey having a chromophore group responsible for absorbance, electronic transition and color giver. We can also knowing the type of honey by using pattern recognition algorithm support vector machine.In this research is used three types of honey to using a spectrophotometer at a wavelength of 500 nm, the absorbance obtained in randu honey type of 0.523-0.654, coffee honey for 0.735-0.824, and rubber honey by 0.947-1.043.
DESIGN OF VERTICAL AXIS SAVONIUS WINDMILL FOR GENERATING ELECTRICITY USING PERMANENT MAGNET Sagita Rochman
Tibuana Vol 3 No 01 (2020): Tibuana Vol.3 No.1 Tahun 2020
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.3.01.2206.61-66

Abstract

At present the use of wind energy in Indonesia is still relatively low, but has enormous potential. One reason is because the average wind speed in the territory of Indonesia is classified as low wind speed, which ranges from 3 m / s to 5 m / s making it difficult to produce electrical energy on a large scale. However, the wind potential in Indonesia is available almost all year long, making it possible to develop small-scale power generation systems. Innovations in modifying windmills need to be developed so that in conditions of low wind speeds can produce electrical energy. In this research, a prototype was developed by designing a vertical axis windmill power plant model Savonius using a permanent magnet generator, which can produce optimal electrical energy by utilizing relatively low wind speeds.From the generator test it was found that with a rotor rotation of 50 rpm up to 500 rpm can produce an electrical voltage of 0.02V to 10V and an electric current of 0.60A to 4.53A.
Co-Authors Abda Abda Achmad Alfianto Adhi Yuniarto Adi Winarno Aditya Ilham Afif Nuril Musthofa Aini, Rasyida Shabihah Zukro Akbar Sujiwa Akhmad Solikin Alfianto, Achmad Andy Hermawan Atmiasri Bagus Ilham Yunianto Billah, Mussafa Budi Prijo Sembodo Budi Prijo Sembodo Budi Prijo Sembodo Prijo Sembodo Danu Krama Dwi Arman Prasetya DWI HASTUTI Edi Nasrulloh Ilham, Aditya Indah Nurhayati Indri Suryawati Indri Suryawati Jariyah Jodhy Satria Ramadhan Jumali, Muhamad Abdul Krishna Wijayakusuma Luthfi Hidayat M. Nushron Ali Mukhtar Mochamad Taufiq Irvan Efendy Mohamad Ilham Mohamad Ilham Muchammad Rizky Firmansyah Muhammad Thoyibin Mukodah, Roib Nafisah, Nihayatun Rivaldo Josua Jetrin Rolos Roib Mukodah Rosariawari, Firra sembodo, budi prijo Sembodo, Budi Prijo Sembodo Prijo Siti Nuurlaily Rukmana, Siti Nuurlaily surya Wijaya, WILDAN Taufiq Irvan Efendy, Mochamad Titik Koesdijati Widiarto, budi Wijayanti, Avissa Auryn Wildan Surya Wijaya Yitno Utomo Yunia Dwie Nurchayanie Yunianto, Bagus Ilham