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The Effectiveness of Experimental Diet with Varying Levels of Papain on The Growth Performance, Survival Rate and Feed Utilization of Keureling Fish (Tor tambra) Muchlisin, Zainal Abidin; Afrido, Fardin; Murda, Tanzil; Fadli, Nur; Muhammadar, Abdullah A.; Jalil, Zulkarnain; Yulvizar, Cut
Biosaintifika: Journal of Biology & Biology Education Vol 8, No 2 (2016): September 2016
Publisher : Department of Biology, Faculty of Mathematics and Sciences, Semarang State University . Ro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v8i2.5777

The objective of present study was to determine the optimum level of papain in the diet of keureling fish (Tor tambra). The complete random design was utilized in this study. Six levels of papain dosage were tested in triplicates, i.e. 0 (control); 17.5 mg kg-1, 20.0 mg kg-1, 22.5 mg kg-1, 25.0 mg kg-1 and 27.5 mg kg-1 of feed. The experimental fish were fed the experimental diet two times a day at 8 AM and 5 PM at feeding level of 5% body weight for 90 days. The Anova test result showed that papain enzyme gave a significant effect on the weight gain, daily growth rate, specific growth rate, survival rate, feed conversion ratio and feed efficiency (P<0.05). The Duncan multi-rage test result showed that the higher values for all measured parameters were obtained at the dosage of 27.5 mg kg-1. Therefore, it is concluded that the optimum dosage of papain enzyme for keureling fish was 27.5 mg kg-1 of feed.How to CiteMuchlisin, Z. A., Afrido, F., Murda, T., Fadli, N., Muhammadar, A. A., Jalil, Z., & Yulvizar, C. (2016). The Effectiveness of Experimental Diet with Varying Levels of Papain on The Growth Performance, Survival Rate and Feed Utilization of Keureling Fish (Tor tambra). Biosaintifika: Journal of Biology & Biology Education, 8(2), 172-177.

Efektifitas Penggunaan Silika dari Abu Sekam Padi sebagai Katalis pada Material Penyimpan Hidrogen Sistem MgH2 Jalil, Zulkarnain; Pajriana, Elisa; Rahwanto, Adi
Jurnal Matematika dan Sains Vol 22 No 1 (2017)
Publisher : Institut Teknologi Bandung

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Magnesium (Mg) and its alloys are among the potential candidates as materials for hydrogen stor-age applications because they have the ability to absorb hydrogen in large quantities. However Mg has a drawback, ie kinetic reaction is quite slow. For that we need an intensive effort to overcome this, one of them is with catalyst insertion. In this paper, we report on the use of silica catalyst (SiO2) from rice husk ash in the MgH2 hydrogen storage material. SiO2 material inserted into MgH2 of 1 wt%, 3wt% and 5wt% using high energy ball milling technique. Results of observations by XRD showed a milling process that lasted for 5 hours successfully reduced to nanokristal scale. The emerging phase, from the XRD observation, is the MgH2 phase as the most dominant phase. Thermal characterization with DSC showed that the addition of SiO2 was able to decrease the desorption time and temperature of 338,720C in 14.75 minutes in 5wt% catalyst variation.

Identifikasi Kandungan Unsur pada Pasir Kuarsa Menggunakan Metode X-Ray Flourescence di Kecamatan Samadua, Aceh Selatan : Identification of Elemental Contents in Quartz Sand Using the X-Ray Flourescence Method in Samadua District, South Aceh Bakruddin, Bakruddin; Rachmatillah, Faukas; Amri, Asbahrul; Jalil, Zulkarnain
Jurnal Jejaring Matematika dan Sains Vol. 2 No. 2 (2020): Edisi Desember 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/jjms.2020.v2.i2.401

Quartz sand is a non-metallic natural resource that can be used to develop various kinds of human needs, however, it is necessary to know in advance the amount and elements contained therein. This research will conduct a study related to the amount of element concentration in quartz sand in Samadua District, South Aceh Regency. The research method used in this research is the X-Ray Fluorescence technique. The results showed that the elements found in the quartz sand samples were Si, K, Ca, Ti, V, Cr, Mn, Fe, Cu, Sr, Ba, and Eu. From these results, there are three elements that have the highest concentration, namely the element Si as much as 62%, Ca as much as 15.7%, and element K as much as 13.7%.

Apparent Porosity and Compressive Strength of Heat-Treated Clay/Iron Sand/Rice Husk Ash Composites over a Range of Sintering Temperatures Machmud, M. Nizar; Jalil, Zulkarnain; Afifuddin, Mochammad
Makara Journal of Technology Vol. 20, No. 2
Publisher : UI Scholars Hub

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Novel composites of clay/iron sand/rice husk ash (RHA) have been developed. Electric furnace was used to perform heat treatment on the composites to study the effect of sintering temperature on their apparent porosity and compressive strength. Two types of RHA with different bulk density were prepared to gain an understanding of the influence of apparent porosity on compressive strength of the heat-treated composites over a range of sintering temperatures. Heattreated composites, made of clay/iron sand and clay/RHA, were also prepared as a referenced material. X-ray diffraction (XRD) analysis was further performed to comprehensively discuss the role of iron sand on apparent porosity and compressive strength of the heat-treated composites. The results show that the increase of sintering temperature reduces apparent porosity of the heat-treated composites. Reducing on the apparent porosity was then followed by the increase of compressive strength of the heat-treated composites. Compressive strength of the heat-treated composites was not sensitive to the sintering temperature up to 800 °C, and it would be more improved at the sintering temperature above 800 °C. This study concludes that such sintering temperature significantly improved apparent porosity and compressive strength of the composites due to use of iron sand.

Identifikasi Kandungan Unsur pada Pasir Kuarsa Menggunakan Metode X-Ray Flourescence di Kecamatan Samadua, Aceh Selatan : Identification of Elemental Contents in Quartz Sand Using the X-Ray Flourescence Method in Samadua District, South Aceh Bakruddin, Bakruddin; Rachmatillah, Faukas; Amri, Asbahrul; Jalil, Zulkarnain
Jurnal Jejaring Matematika dan Sains Vol. 2 No. 2 (2020): Edisi Desember 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/jjms.2020.v2.i2.401

Quartz sand is a non-metallic natural resource that can be used to develop various kinds of human needs, however, it is necessary to know in advance the amount and elements contained therein. This research will conduct a study related to the amount of element concentration in quartz sand in Samadua District, South Aceh Regency. The research method used in this research is the X-Ray Fluorescence technique. The results showed that the elements found in the quartz sand samples were Si, K, Ca, Ti, V, Cr, Mn, Fe, Cu, Sr, Ba, and Eu. From these results, there are three elements that have the highest concentration, namely the element Si as much as 62%, Ca as much as 15.7%, and element K as much as 13.7%.

Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis Idroes, Ghazi Mauer; Noviandy, Teuku Rizky; Maulana, Aga; Irvanizam, Irvanizam; Jalil, Zulkarnain; Lensoni, Lensoni; Lala, Andi; Abas, Abdul Hawil; Tallei, Trina Ekawati; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 1 No. 1 (2023): August 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v1i1.58

Artificial intelligence (AI) has emerged as a powerful technology that has the potential to transform education. This study aims to comprehensively understand students' perspectives on using AI within educational settings to gain insights about the role of AI in education and investigate their perceptions regarding the advantages, challenges, and expectations associated with integrating AI into the learning process. We analyzed the student responses from a survey that targeted students from diverse academic backgrounds and educational levels. The results show that, in general, students have a positive perception of AI and believe AI is beneficial for education. However, they are still concerned about some of the drawbacks of using AI. Therefore, it is necessary to take steps to minimize the negative impact while continuing to take advantage of the advantages of AI in education.

Machine Learning for Early Detection of Dropout Risks and Academic Excellence: A Stacked Classifier Approach Noviandy, Teuku Rizky; Zahriah, Zahriah; Yandri, Erkata; Jalil, Zulkarnain; Yusuf, Muhammad; Mohamed Yusof, Nur Intan Saidaah; Lala, Andi; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 2 No. 1 (2024): May 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i1.191

Education is important for societal advancement and individual empowerment, providing opportunities, developing essential skills, and breaking cycles of poverty. Nonetheless, the path to educational success is marred by challenges such as achieving academic excellence and preventing student dropouts. Early identification of students at risk of dropping out or those likely to excel academically can significantly enhance educational outcomes through tailored interventions. Traditional methods often fall short in precision and foresight for effective early detection. While previous studies have utilized machine learning to predict student performance, the potential for more sophisticated ensemble methods, such as stacked classifiers, remains largely untapped in educational contexts. This study develops a stacked classifier integrating the predictive strengths of LightGBM, Random Forest, and logistic regression. The model achieved an accuracy of 80.23%, with precision, recall, and F1-score of 79.09%, 80.23%, and 79.20%, respectively, surpassing the performance of the individual models tested. These results underscore the stacked classifier's enhanced predictive capability and transformative potential in educational settings. By accurately identifying students at risk and those likely to achieve academic excellence early, educational institutions can better allocate resources and design targeted interventions. This approach optimizes educational outcomes and supports informed policymaking, fostering environments conducive to student success.

Enhancing TiO2 Photoelectrode Performance: The Role of La Doping Using the Sol-Gel Process Jannah, Mifthahul; Azmi, Nurul; Lala, Andi; Jalil, Zulkarnain; Mursal, Mursal
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.266

Due to growing interest in renewable energy technologies, dye-sensitized solar cells (DSSCs) have emerged as promising alternatives to conventional photovoltaics. This study explores the enhancement of titanium dioxide (TiO2) photoelectrodes through doping with lanthanum (La), a rare earth element known for its ability to modify semiconductors' structural and electronic properties. La-doped TiO2 was synthesized using the sol-gel method with La concentrations ranging from 0 to 4 mol%. The resulting films were deposited onto substrates and sintered at 600 °C for 1 hour. Characterization techniques included X-ray diffraction (XRD), scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS), UV-Vis spectrophotometry, and Fourier-transform infrared spectroscopy (FTIR). XRD confirmed the anatase phase of TiO2 and the appearance of La2O₃ phases with doping. The smallest crystallite size (8.20 nm) and lowest bandgap energy (3.31 eV) were achieved at 1 mol% La, compared to 3.52 eV for undoped TiO2. SEM-EDS indicated uniform La distribution, while FTIR revealed changes in surface chemistry. These results suggest that La doping, particularly at 1 mol%, can effectively enhance the optical and structural properties of TiO2, making it a promising candidate for improved DSSC performance.

Tailoring Bandgap and Crystallinity of TiO₂ via Mg Doping for Enhanced DSSC Photoanode Performance Mursal, Mursal; Malahayati, Malahayati; Ismail, Ismail; Irhamni, Irhamni; Jalil, Zulkarnain
Bulletin of Chemical Reaction Engineering & Catalysis 2025: Just Accepted Manuscript and Article In Press 2025
Publisher : Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.20473

The structural and optical properties of magnesium-doped titanium dioxide (Mg–TiO₂) nanocrystalline films were investigated for potential application as photoanodes in dye-sensitized solar cells (DSSCs). The films were synthesized via a sol-gel method using titanium(IV) isopropoxide and magnesium acetate as precursors. Mg doping concentrations ranging from 0 to 4 mol% were explored. The films were deposited onto glass substrates using the doctor blade technique and annealed at various temperatures. Characterization was carried out using X-ray diffraction (XRD), scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDS), Fourier-transform infrared spectroscopy (FTIR), and UV–Vis spectroscopy. XRD analysis confirmed the formation of TiO₂, MgO, and MgTiO₃ phases, with a notable decrease in crystallite size as Mg content increased. The smallest crystallite size of 12.71 nm was obtained at 4 mol% Mg doping. SEM images revealed improved surface morphology and more uniform porosity in doped films. FTIR spectra indicated no significant changes in chemical bonding, while UV–Vis analysis showed a decrease in bandgap energy from 3.8 eV to 3.4 eV with Mg doping. These modifications suggest enhanced dye adsorption and reduced charge recombination, indicating the potential of Mg-doped TiO₂ films to improve DSSC performance.

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