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All Journal Jurnal Penelitian Saintek Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Jurnal Teknologi Pertanian agriTECH Indonesian Journal of Chemistry SINTECH (Science and Information Technology) Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Serambi Engineering Agroteknika Agro Bali: Agricultural Journal Jurnal Kedokteran Hewan Jurnal Ilmiah Mahasiswa Pertanian Rona Teknik Pertanian
Agus Arip Munawar
Department Of Agricultural Engineering, Syiah Kuala University, Aceh
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering Environmental Science Immunology & microbiology Mechanical Engineering Medicine & Pharmacology Veterinary Other

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Near Infrared Technology As a Robust and Environmental Friendly Approach To Biofuel Analysis: Rapid Biodiesel Classification and Quality Prediction Agus Arip Munawar; Kiman Siregar; Agussabti Agussabti
Rona Teknik Pertanian Vol 10, No 2 (2017): Volume 10, No. 2, Oktober 2017
Publisher : Department of Agricultural Engineering, Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/rtp.v10i2.10005

Abstract

Abstract. The use of ethanol and biodiesel, which are alternative fuels or biofuels, has increased in the last few years. Modern official standards list 25 parameters that must be determined to certify biodiesel quality. In order to determine biofuel quality, several methods were already widely used in which most of them were based on solvent extraction followed by other laboratory procedures. Yet, these methods are expensive, laborious and complicated processing for samples. Near infrared reflectance spectroscopy (NIRS) can be considered as a fast, pollution-free and non-destructive method in determining biofuel quality parameters. The objective of this study is to apply near infrared technology in classifying biodiesel based on KOH (0.3, 0.5 and 0.7) and to predict related biodiesel quality properties (water content, linolenic fatty acid, oleic acid,  and stearic acid) based on its infrared reflectance. Biodiesel infrared spectrum was acquired in wavelength range from 1000 to 2500 nm for different mentioned three KOH content. Principal component analysis (PCA) with non-iterative partial least square (NIPALS) was applied to analyze biodiesel spectral data. The result showed that two principal components (PC1=97% ad PC2 = 2%) based on infrared reflectance data were successfully able to recognize and classify biodiesel based on their used KOH. Moreover, the wavelength range of 1000 – 1140 were to be believed related to linolenic fatty acid whilst 1450 nm and 1930 nm were associated with water content. Stearic acid can be predicted in wavelength range of 1330 – 1380 nm and wavelength range of 1725 – 1790 nm were related to oleic acid of biodiesel. This may conclude that infrared technology was feasible to use as a rapid, effective and non-invasive method in biofuel classification and evaluation.
Fast And Simultaneous Prediction Of Agricultural Soil Nutrients Content Using Infrared Spectroscopy Devianti Devianti; Zulfahrizal Zulfahrizal; Sufardi Sufardi; Agus Arip Munawar
Rona Teknik Pertanian Vol 12, No 1 (2019): Volume 12, No. 1, April 2019
Publisher : Department of Agricultural Engineering, Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/rtp.v12i1.11656

Abstract

Abstract. The functions soil depends on the balances of its structure, nutrients composition as well as other chemical and physical properties. Conventional methods, used to determine nutrients content on agricultural soil were time consuming, complicated sample processing and destructive in nature. Near infrared reflectance spectroscopy (NIRS) has become one of the most promising and used non-destructive methods of analysis in many field areas including in soil science. The main aim of this present study is to apply NIRS in predicting nutrients content of soils in form of total nitrogen (N). Transmittance spectra data were obtained from a total of 18 soil samples from 8 different sites followed by N measurement using standard laboratory method. Principal component regression (PCR) with full cross validation were used to develop and validate N prediction models. The results showed that N content can be predicted very well even with raw spectra data with coefficient correlation (r) and residual predictive deviation index (RPD) were 0.95 and 3.35 respectively. Furthermore, spectra correction clearly enhances and improve prediction accuracy with r = 0.96 and RPD = 3.51. It may conclude that NIRS can be used as fast and simultaneous method in determining nutrient content of agricultural soils.
Study of Different Concentrations of Sorbitol as a Plasticizer in Producing Gelatin-Based Biodegradable Film from Chicken Claw Waste Br Padang, Sheila Saharani; Ratna, Ratna; Munawar, Agus Arip
agriTECH Vol 44, No 3 (2024)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.84993

Abstract

An environmentally friendly packaging material that can be used in place of synthetic, non-green plastic packaging is biodegradable film. Therefore, this study aims to determine the effect of sorbitol plasticizer concentrations on the characteristics of biodegradable film produced from chicken claw waste. The treatments applied during the production process consisted of three sorbitol concentrations, including 0.5, 1, and 1.5%, repeated thrice. Characterization of biodegradable film comprised thickness, water content, water solubility, film swelling, mechanical properties, pH, water vapor permeability, oxygen permeability, and degradation tests. Analysis of variance  results showed that the sorbitol concentrations significantly influenced thickness value, but did not affect other characteristics. The best treatment was 0.5% sorbitol which generated thickness of 0.15 mm, WC of 13.97%, WS of 44.72%, swelling of 96.97%, tensile strength of 12.29 MPa, elongation of 22.23%, elasticity 58.53 Mpa, pH 7.5, WVP 9.26 g.m -1 pa -1 hour -1 , OP 1.52 g.m -1 pa -1 , and degradability for 14 days.
Co-Authors . Ichwana Abuijal Muhammad Rifaldi Agussabti Agussabti Annisa Azzahra Aulia Ifnu Akbar Br Padang, Sheila Saharani Cut Dahlia Iskandar Darwin Darwin Desi Nanda Sari Devianti Devianti Devianti Devianti Devianti Devianti Devianti Devianti Dewi Sri Jayanti Dian Sri Bintang Hasiholan Manihuruk Diding Suhandy Diswandi Nurba, Diswandi Dwi Anindea Putri Endamin Endamin Fachruddin Fachruddin Fitria Nisak Fredinan Yulianda Giar Pramanda Putra Hairatun Hairatun Hayati Zahra Hesti Meilina Ichwana Ichwana Ichwana Ramli Ichwana Ramli Indera Sakti Nasution Ine Elisa Putri Ine Elisa Putri Intan Ratna Juwita Irfan Maibriadi Khairul Abdi Ruslana Khairul Abdi Ruslana Kiman Siregar Kusumiyati Masdar Masdar Mohd Nazar Isza Putra Muaida Alfia Mubarak Hulda Muhammad Ikhram Muhammad Ikhsan Sulaiman Muhammad Zikri Pratama Munanda Irawan Murtahar Murtahar Muslem Muslem Mustaqimah Mustaqimah Najla Mumtazmi Nasrul Arahman Nur Alfah Puji Meihani Qurratul Zulmi Raida Agustina Raida Agustina Ramayanty Bulan Ratna Ratna Ratna Ratna Ratna Ratna Ridwan Ridwan Rina Aulia Barus Riska Nurul Saputri Rita Khathir Rita Zahara Salman Rivaldi Solly Aryza Sri Aprilia Sri Purnama Sari Sufardi Sufardi Suswita Sari Syahrul Ramadhan Syaubari syaubari Teuku Hafidh Tyas Al Khalis Yesi Ardiani Yovita Amanda Yuda Hadiwijaya Yusmanizar Yusmanizar Yusril Agus Putra Yuswar Yunus Z Zainuddin Zikrul Khalid Zulfahrizal Zulfahrizal zulfahrizal zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulkifli Nasution