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Sintesis Katalis Kalsium Gliseroksida Berbasis Cangkang Telur Bebek-Crude Glycerol dan Aplikasinya dalam Transesterifikasi Minyak Sawit untuk Produksi Biodiesel Surya Alam, Widharta; Gitamara, Sabila; Masyithah, Zuhrina
Jurnal Teknik Kimia USU Vol. 11 No. 1 (2022): Jurnal Teknik Kimia USU
Publisher : Talenta Publisher (Universitas Sumatera Utara)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jtk.v11i1.6326

Abstract

The growth of biodiesel production resulted in an increase in by-products in the form of crude glycerol. To increase its economic value, crude glycerol can be further processed into heterogeneous catalysts. The reaction between glycerol and calcium from duck eggshell will produce calcium glyceroxide which is useful in transesterification. In this study, catalyst preparation was carried out by reacting crude glycerol with calcined duck eggshell (700 °C) at a ratio of (1:1) (g) refluxed in methanol solvent. The obtained catalyst was applied to palm oil transesterification at mole ratio (1:12), catalyst concentration 0.4%; 0.7% and 1% (w/w), operating temperatures of 55 °C, 65 °C and 75 °C for 75 minutes. KOH is also used as a comparison catalyst. The analysis of SNI 7182-2015 includes density (40 °C), viscosity (ASTM D-445), acid number (AOCs Cd 3-63), and water content (ASTM D-2709). The optimum conditions according to SNI 7182-2015 are at a temperature of 65 °C and 0.7% catalyst with biodiesel yield of 88.76%, density 889 kg/m3, kinematic viscosity 5.1 mm/s2, acid number 0.5 mg KOH/g and moisture content of 0.0028%.
Sintesis Katalis Kalsium Gliseroksida Berbasis Cangkang Telur Bebek-Crude Glycerol dan Aplikasinya dalam Transesterifikasi Minyak Sawit untuk Produksi Biodiesel Surya Alam, Widharta; Gitamara, Sabila; Masyithah, Zuhrina
Jurnal Teknik Kimia USU Vol. 11 No. 1 (2022): Jurnal Teknik Kimia USU
Publisher : Talenta Publisher (Universitas Sumatera Utara)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (512.76 KB) | DOI: 10.32734/jtk.v11i1.6326

Abstract

The growth of biodiesel production resulted in an increase in by-products in the form of crude glycerol. To increase its economic value, crude glycerol can be further processed into heterogeneous catalysts. The reaction between glycerol and calcium from duck eggshell will produce calcium glyceroxide which is useful in transesterification. In this study, catalyst preparation was carried out by reacting crude glycerol with calcined duck eggshell (700 °C) at a ratio of (1:1) (g) refluxed in methanol solvent. The obtained catalyst was applied to palm oil transesterification at mole ratio (1:12), catalyst concentration 0.4%; 0.7% and 1% (w/w), operating temperatures of 55 °C, 65 °C and 75 °C for 75 minutes. KOH is also used as a comparison catalyst. The analysis of SNI 7182-2015 includes density (40 °C), viscosity (ASTM D-445), acid number (AOCs Cd 3-63), and water content (ASTM D-2709). The optimum conditions according to SNI 7182-2015 are at a temperature of 65 °C and 0.7% catalyst with biodiesel yield of 88.76%, density 889 kg/m3, kinematic viscosity 5.1 mm/s2, acid number 0.5 mg KOH/g and moisture content of 0.0028%.
Predictive mapping of surface roughness in turning of hardened AISI 4340 using carbide tools Ginting, Armansyah; Masyithah, Zuhrina
Communications in Science and Technology Vol 9 No 1 (2024)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.9.1.2024.1417

Abstract

This study presents a novel approach to predict surface roughness in the hard turning of AISI 4340 steel using carbide tools, aimed to develop a comprehensive predictive map. The hypothesis that surface roughness can be accurately predicted using a linear regression model was tested and confirmed. Experimental results showed surface roughness in the range of 1.946 to 5.636 microns. Statistical analysis revealed a normal distribution of surface roughness data with linear regression as the best-fit model, significantly determined by feed rate and explaining 98.41% of the variance. Machine learning validated this model, achieving high prediction accuracy (R² = 96.91%, MSE = 0.058, RMSE = 0.242). The innovative predictive map, created using a full factorial design, demonstrated a strong agreement between predicted and validated values. This work highlights the potential of integrating statistical and machine learning techniques for precise surface roughness prediction, recommending industrial validation to enhance machining productivity.
Preparation and Identification of Local Microorganisms (LMOs) using Lake Toba Water and Their Utilization for Plastic Biodegradation Lumbantoruan, Chintya Sinar; Misran, Erni; Masyithah, Zuhrina
Reaktor Volume 24 No.2 August 2024
Publisher : Department of Chemical Engineering, Faculty of Engineering, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/reaktor.24.2.41-51

Abstract

Local microorganisms (LMOs) are solutions made from anaerobic fermentation of sugar and complex carbohydrate sources using a local microorganism source medium. Generally, LMO solution possesses the potential to perform plastic biodegradation. This research aims to analyse the variation of the volume of Lake Toba water as a source of microorganisms in the preparation of LMO and to identify plastic degrading local microorganisms. The research steps consisted of making standard curves and growth curves, LMO preparation, testing the biodegradation of low-density polyethylene (LDPE) plastic, isolating microorganisms, performing biochemical test, testing the clear zone for plastic degrading microorganisms, and identifying microorganisms. LMO was made by mixing raw materials according to the ratio of Lake Toba water volume to substrate, namely 20:80 (% v/v); 30:70 (% v/v); and 40:60 (% v/v) which were fermented for 99 hours at 37 °C. The results showed that LMO pH before and after fermentation changed from 4.75; 4.9; and 4.94. to 3.46; 3.45; and 3.48. The decrease in pH was likely due to the activity of microorganisms that produce organic acids. The LDPE plastic degradation percentage of the resulting LMOs were 2.353% w/w; 3.012% w/w; and 4.023% w/w, respectively. For that reason, five microbe isolates obtained from fermentation of Lake Toba water volume to substrate ratio of 40:60 (% v/v) were further screened to validate their potential in degrading LDPE, which 2 isolates produced clear zones and identified as Staphylococcus aureus and Streptococcus sp.
PROSES PENGOLAHAN PAKAN UNGGAS DARI TEPUNG IKAN DI DESA SENTANG KECAMATAN TELUK MENGKUDU KABUPATEN SERDANG BEDAGAI: Indonesia Harahap, Hamidah; Manurung, Renita; Nasution, Halimatuddahliana; Masyithah, Zuhrina; Yustira, Ayuni
Jurnal Abdimas Madani dan Lestari (JAMALI) Volume 06, Issue 02, September 2024
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jamali.vol6.iss2.art10

Abstract

This research aims to create a poultry feed formulation that complies with SNI 01-3931-2006 standards regarding broiler poultry feed, where the process of making poultry feed includes four main ingredients, namely fish meal, corn, rice bran and vitamins. In this research there are two main processes, namely the process of making fish meal and the process of making poultry feed. Fish meal is a raw material for making poultry feed because it has high protein content. Fish meal in the process of making poultry feed is obtained from processing fish caught at sea by fishermen. This research activity was carried out in Sentang Village, Teluk Mengkudu District, Serdang Berdagai Regency. This location was chosen because it is near the sea and has abundant natural resource potential for marine products. The resulting poultry feed is then analyzed including water content, protein, oil content, ash content, crude fiber, calcium and protein. Poultry feed analysis was carried out in the Palm Oil Research Center (PPKS) laboratory. The analysis results showed water content 30.90%, protein 11.70%, oil content 3.17%, ash content 5.16%, crude fiber 17.32%, calcium 182.41 ppm and phosphorus <0.01 ppm.