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All Journal IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) ABDIMU: Jurnal Pengabdian Muhammadiyah
Mainisa Mainisa
Universitas Malikussaleh
Religion Biochemistry, Genetics & Molecular Biology Chemistry Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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DATA PROCESSING TRAINING USING MICROSOFT EXCEL FOR STUDENTS OF THE FACULTY OF AGRICULTURE, MALIKUSSALEH UNIVERSITY Rachmawati Rusydi; Mainisa Mainisa; Mahdaliana Mahdaliana; Muhammad Hatta; Eva Ayuzar; Salamah Salamah
ABDIMU: Jurnal Pengabdian Muhammadiyah Vol 3, No 2 (2023)
Publisher : Universitas Muhammadiyah Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37598/abdimu.v3i2.1711

Abstract

Data processing is part of the statistics used for drawing conclusions on the data analyzed using various statistical softwares. One of the softwares for simple data processing is Microsoft Excel. However, the use of Microsoft Excel for statistical analysis by students of the Agriculture Faculty, Malikussaleh University is not optimal compared to some other software. The purpose of this training activity is to provide data processing knowledge and skills to students of the Agriculture Faculty, Malikussaleh University using Microsoft Excel on data analysis. The community service activities were carried out at the Statistics Laboratory of the Agriculture Faculty, Malikussaleh University in March 2023. The method applied was training on data analysis through data analysis microsoft excel. Evaluation of community service activities was carried out through a survey using an online questionnaire on the Google form. Data processing training activities using Microsoft Excel for students of the Faculty of Agriculture, Malikussaleh University provided increased knowledge and skills. Students assessed that the use of Microsoft Excel in data processing was important and necessary in addition to other software. Furthermore, the training activities were considered very good, in terms of delivery, materials, and discussion time.  Keywords: Data Processing; Microsoft Excel, Student, Agriculture
Development and Characterization of HDPE Waste/Ramie Fiber Composites for Geomembrane Applications in Litopenaeus vannamei Shrimp Cultivation Ahmad Fikri; Ar Razi; Mainisa Mainisa; Arif Fadhilah; Apryza Mila
IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) Vol 11, No 1 (2026): February 2026
Publisher : IJFAC (Indonesian Journal of Fundamental and Applied Chemistry)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24845/ijfac.v11.i1.10

Abstract

Geomembranes are thin geosynthetic materials composed of polymeric layers that function as barriers in direct contact with soil. The properties of HDPE geomembranes suitable for application as vannamei shrimp (Litopenaeus vannamei) aquaculture. HDPE geomembranes applied in vannamei shrimp aquaculture are subjected to thermal loads (UV radiation), oxidative agents, and mechanical force such as interfacial friction and tensile loading in surface wear.  This study aims to improve the mechanical properties of the material by incorporating natural fibers as reinforcement into HDPE–ramie fiber biocomposite. The process of making HDPE–ramie fiber biocomposite uses an single screw extruder with a temperature of 170 oC, a rotation of 20 rpm with a ratio of HDPE waste and ramie fiber of 97.5:2.5, 95:5, and 92.5:7.5. The results of tensile and impact tests show the highest strength and toughness are shown in the HDPE sample and ramie fiber 92.5:7.5 with a value of 5.23 MPa and 96.17 kJ/m2. The highest material ductility was demonstrated in the HDPE and ramie fiber composite 97.5:2.5 with a value of 1.32%. In addition, the highest stiffness was demonstrated in the HDPE and ramie fiber composite 95:5 with a value of 845.40 MPa. The results of the morphological investigation showed that the bond between the matrix and filler was partially formed and the smallest fiber diameter was 4 µm.Keywords: HDPE, Ramie, Composite, Geomembrane, Vanamei
Co-Authors Ahmad Fikri Apryza Mila Ar Razi Arif Fadhilah Eva Ayuzar Mahdaliana, Mahdaliana Muhammad Hatta Rachmawati Rusydi Salamah Salamah