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All Journal Amina Heca Journal of Applied Sciences Leuser Journal of Environmental Studies Infolitika Journal of Data Science
Muslem Muslem
Department Of Chemistry, Faculty Of Science And Technology, Universitas Islam Negeri Ar-Raniry, Banda Aceh 23111, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Engineering Environmental Science Health Professions Medicine & Pharmacology Other

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AKTIVITAS SEDIAAN GEL ANTIJERAWAT DARI EKSTRAK ETANOL DAUN SALAM (Syzygium polyanthum (Wight) Walp.) TERHADAP BAKTERI Staphylococcus epidermidis Reni Silvia Nasution; Muslem Muslem; Salmah Nasution
AMINA Vol 5 No 1 (2023): April 2023
Publisher : Department of Chemistry, Faculty of Science and Technology, UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Gel antijerawat merupakan sediaan farmasi yang digunakan untuk mengobati jerawat dengan menurunkan komedo dan membantu pengelupasan sel kulit mati. Daun salam memiliki aktivitas antibakteri yang dapat dibuat dalam bentuk sediaan farmasi gel. Tujuan dari penelitian ini adalah untuk mengetahui aktivitas antibakteri gel antijerawat dari konsentrasi paling efektif ekstrak etanol daun salam terhadap bakteri Staphylococcus epidermidis melalui metode difusi. Gel antijerawat dipreparasi dengan variasi konsentrasi ekstrak etanol daun salam yaitu 0%; 1,5%; 2%; 2,5% dan 3%. Gel yang dihasilkan dilakukan beberapa pengujian seperti uji organoleptis, homogenitas, pH, viskositas, daya lekat, daya sebar dan antibakteri. Aktivitas antibakteri terhadap Staphylococcus epidermidis dihasilkan dari formula yang mengandung 3% ekstrak etanol daun salam. Daya hambat formula kuat dengan diameter zona hambat sebesar 16,5 mm. Hasil ini menunjukkan bahwa sediaan farmasi gel yang mengandung 3% ekstrak etanol daun salam berpotensi untuk dijadikan gel antijerawat.
Reduction of Microbial Content (Escherichia coli) in Well Water Using Various Processes: Microfiltration Membranes, Aeration and Bentonite Adsorption Andi Lala; Marlina Marlina; Muhammad Yusuf; Rivansyah Suhendra; Nur Balqis Maulydia; Muslem Muslem
Heca Journal of Applied Sciences Vol. 1 No. 1 (2023): June 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v1i1.17

Abstract

Water is a basic need for living things. This research aims to know the reduction of microbe content (Escherichia coli) in well water by using microfiltration membrane, adsorption using bentonite and aeration. The capability of those three methods in reducing E. coli was examined on the variety of time contact: 30, 60, 90, 120,180 and 300 minutes. The result of the research shows that using those methods has shown that the optimum percentage of E. coli reduction by using microfiltration membrane with 23 Most Probable Number (MPN)/100 mL of E. coli initial concentration in well water and became 0 MPN/100 mL by 100 % of E. coli reduction. Adsorption using bentonite resulted in a 78% reduction in E. coli and reduction by using aeration, the reduction of E. coli by 21%. This study shows that microfiltration has the best ability compared to other methods.
Utilizing Bentonite as a Natural Material to Enhance the Quality of Community Water Resources in the Urban Area Muhammad Zia Ulhaq; Dafif Hanan; Athaya Salsabila; Andi Lala; Muslem Muslem; Zulhiddin Akbar; Zahriah Zahriah
Leuser Journal of Environmental Studies Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i2.94

Abstract

In this study, the researchers investigated the state of water sources and the potential of bentonite as a water treatment agent. The study encompassed measurements of key water quality parameters for river and well water sources, including pH, TDS, conductivity, and salinity. The findings revealed that while pH levels were generally within the clean water standards, TDS values exceeded the threshold, particularly in river water samples. This suggests contamination due to urban activities and rising sea levels. Furthermore, the study explored using both activated and non-activated bentonite as an adsorption agent to remove contaminants from water sources. The results indicated that bentonite effectively increased pH levels, especially in well water samples, and significantly reduced TDS, conductivity, and salinity values, with non-activated bentonite being a preferred option for river water treatment and activated bentonite for well water treatment. These findings emphasize the potential of bentonite as a valuable water treatment solution. The specific characteristics of the water source should guide the choice between activated and non-activated bentonite. This tailored approach can lead to more effective and sustainable water treatment, contributing to improved water quality and availability for the community in the coastal region.
ANFIS-Based QSRR Modelling for Kovats Retention Index Prediction in Gas Chromatography Rinaldi Idroes; Teuku Rizky Noviandy; Aga Maulana; Rivansyah Suhendra; Novi Reandy Sasmita; Muslem Muslem; Ghazi Mauer Idroes; Raudhatul Jannah; Razief Perucha Fauzie Afidh; Irvanizam Irvanizam
Infolitika Journal of Data Science Vol. 1 No. 1 (2023): September 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijds.v1i1.73

Abstract

This study aims to evaluate the implementation and effectiveness of the Adaptive Neuro-Fuzzy Inference System (ANFIS) based Quantitative Structure Retention Relationship (QSRR) to predict the Kovats retention index of compounds in gas chromatography. The model was trained using 340 essential oil compounds and their molecular descriptors. The evaluation of the ANFIS models revealed promising results, achieving an R2 of 0.974, an RMSE of 48.12, and an MAPE of 3.3% on the testing set. These findings highlight the ANFIS approach as remarkably accurate in its predictive capacity for determining the Kovats retention index in the context of gas chromatography. This study provides valuable perspectives on the efficiency of retention index prediction through ANFIS-based QSRR methods and the potential practicality in compound analysis and chromatographic optimization.
Co-Authors Aga Maulana Andi Lala Andi Lala Athaya Salsabila Dafif Hanan Ghazi Mauer Idroes Irvanizam Zamanhuri Marlina Marlina Muhammad Yusuf Muhammad Zia Ulhaq Novi Reandy Sasmita Nur Balqis Maulydia Raudhatul Jannah Razief Perucha Fauzie Afidh Reni Silvia Nasution Rinaldi Idroes Rivansyah Suhendra Salmah Nasution Teuku Rizky Noviandy Zahriah Zahriah Zulhiddin Akbar