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Evaluation Of Dehydration Performance Of Belitung Taro (Xanthosoma Sagittifolium) Using Tray Dryer Maktum Muharja; Rizki Fitria Darmayanti; Achri Isnan Khamil; Andika Prastika; Muhammad Rizalluddin; Siska Nuri Fadilah; Difka Augustina Diana Sari
IPTEK The Journal for Technology and Science Vol 34, No 1 (2023)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i1.14878

Abstract

Belitung Taro (Xanthosoma sagittifolium) is a plant that can be processed into various food products. The high-water content of taro and the lack of a precise drying system made this material easy to rot. This study aims to evaluate the dehydration performance of tray dryers to reduce the water content of Belitung Taro. The independent variables used were air velocity (3-6 m/s), taro thickness (1-4 mm), and drying time (30-120 min). The results showed that the optimum drying time of taro is 30 min. The dryer airflow of 5 m/s significantly reduces the water content. The thickness of the slices positively affects the drying rate. The lowest water content was obtained in drying with a thickness of 1 mm. The ANOVA results show the effect of thickness, time, and flow rate variations on the drying rate. Three types of mathematical modeling are used to estimate moisture content: Newton, Page, and Modified Page. The Modified Page equation was preferred to detect the moisture content of the taro. From this study, the optimum condition of the tray dryer can be the best solution to dehydrate Belitung Taro effectively and efficiently
Machine Learning Approach to Design of Biodiesel Production Extraction Equipment from Tamanu Seed Oil Achri Isnan Khamil; Eko Saputra Widarianto; Anandya Zulham Valensyah; Maktum Muharja; Rizki Fitria Darmayanti; Riza Umami; Khofifah Shinta Mamnukha; M Zikrillah
National Multidisciplinary Sciences Vol. 2 No. 3 (2023): Proceeding SEMARTANI 2
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/nms.v2i3.278

Abstract

Tamanu oil is one of the sources of vegetable oil needed on an industrial scale, so it is widely developed for its production. In designing essential oil processing on an in-dustrial scale requires mathematical calculations in measuring parameters in the re-actor, where this requires quite a long time in manual calculations. Utilization of ar-tificial intelligence technology, especially Machine Learning, That is very useful in the calculation process in the Tamanu oil extraction reactor. Machine Learning method used in this research is linear regression for data prediction and mean absolute error is used to measure absolute error. The model is used to predict the results of the outer diameter of the connecting pipe between tools with the parameters used, namely the target output in tons per year from cooking oil products made from tamanu seeds. R2 value of the graph of the CCIO Training Nominal Size data; Cooking oil; Methanol; Petroleum Ether is close to a value of 1, which means that the Input Feed value required to achieve the desired Output is close to 100% accuracy. Meanwhile, the Mean Absolute Error (MAE) value is the result of determining the Nominal Size with the Output value = 5000; 55000; and 150000 kg/hour shows a small difference in error values so that the design is acceptable.
Metode Baru Perhitungan Viskositas Intrinsik Dan Berat Molekul Polihidroksialkanoat Untuk Produksi Plastik Biodegradable M. Zikrillah; Maktum Muharja; Rizki Fitria Darmayanti; M. Wildan Ibnu Batuthoh; Achri Isnan Khamil
Jurnal Penelitian IPTEKS Vol 8, No 2 (2023): JURNAL PENELITIAN IPTEKS
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/ipteks.v8i2.17700

Abstract

Polyhydroxyalkanoates (PHA) merupakan jenis polimer yang termasuk dalam plastik biodegradable. Penelitian ini bertujuan untuk melakukan perhitungan viskositas intrinsik dan berat molekul dari Polihidroksialkanoat menggunakan metode Mark-Houwink. PHA dengan kosentrasi 0.1,0.2,0.3,0,4 gr/ml diumpankan ke dalam labu ukur yang berisi larutan kloroform (CHCl 3 ) dengan konsentrasi 50 ml lalu diaduk selama 4 jam, Setelah itu larutan dialirkan ke dalam kolom viskometer dengan kisaran waktu 1 menit. Berat molekul diukur dengan menggunakan metode Mark-Houwink. Hasil berat molekul yang diperoleh sebesar 621266.881 g/mol.