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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Indonesian Journal of Halal Research Jurnal Agroteknologi
Nurjanah, Desi
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Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Environmental Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Transportation Other

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Optimization of DNA Extraction Methods in Fresh Meat (Rat and Chicken Meat) based on Incubation Time Sunaryo, Hadi; Wirman, Adia Putra; Permanasari, Etin Diah; Nikmatullah, Nurul Azmah; Lestari, Dian; Nurjanah, Desi
Indonesian Journal of Halal Research Vol 5, No 2 (2023): August
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v5i2.21325

Abstract

DNA (deoxyribonucleic acid) extraction method is the process of separating DNA from the sample. In this process, the DNA obtained must be protected from contamination by RNA, carbohydrates, lipids, and proteins. Contamination of RNA, carbohydrates, lipids, and proteins can increase DNA purity. DNA purity was measured using a NanoDrop 2000 spectrophotometer measured by the absorbance ratio at 260 nm and 280 nm wavelengths. Good quality DNA will have an A260/A280 ratio of 1.7–2.0 and a concentration > 0.03 pg. This study aimed to obtain the appropriate DNA extraction method for fresh meat samples (a mixture of rat and chicken meat). This research consisted of two stages: the DNA extraction stage using the Progenus EasyFast™ Extraction Kit for Meat Products and the amplification stage using the EASYFAST™ Rat Detection Kit. This study used 16 samples of a mixture of rat meat and chicken with concentrations of rat meat: 5, 10, 15, and 20%. At the extraction stage, the incubation time was optimized for 15, 30, 45 minutes, and 1 hour. The results showed that the one hour incubation had a lowest CT value in the results of PCR amplification.
PEMANFAATAN BERBAGAI TANAMAN BERWARNA SEBAGAI INDIKATOR ASAM-BASA ALAMI UNTUK PENGUJIAN ASAM LEMAK BEBAS PADA CRUDE PALM OIL (CPO) Nurjanah, Desi; Kusumastuti, Kusumastuti
Jurnal Agroteknologi (Agronu) Vol 1 No 02 (2022): Jurnal Agroteknologi (Agronu)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.426 KB) | DOI: 10.53863/agronu.v1i02.480

Abstract

The study was conducted using a Completely Randomized Design (CRD) consisting of one factor, namely colored plant varieties and indicator concentration consisting of 9 levels, as follows: red spinach 0.15 ml (A), red spinach 0.30 ml (B) . ), 0.45 ml red spinach (C), 0.15 ml purple cabbage (D), 0.30 ml purple cabbage (E), 0.45 ml purple cabbage (F), 0.15 ml secang wood (G ), 0.30 ml sappan wood (H), 0.45 ml sappan wood (I), with two repetitions. Anthocyanins that have been extracted from various types of plants were analyzed first including anthocyanin levels, yield and pH levels. Furthermore, colored plant extracts in alcohol were used as indicators for titration of free fatty acids and comparative analysis was carried out with phenolphthalein (pp) indicator, and visual color changes were observed. This study aims to determine the type of colored plant as a source of anthocyanin which has the highest yield and effective anthocyanin content used as an indicator substitution in the analysis of free fatty acids in Crude Palm Oil (CPO). The results of this study indicate that variations in plant species and indicator concentrations greatly affect anthocyanin and FFA levels. The results of the calculation of Free Fatty Acids with a pp indicator of 0.45 ml of 2.7803% have similarities with using purple cabbage indicator of 0.45 ml of 2.5813%, which is supported by a yield of 34% and anthocyanin content of 0.0472 mg/ ml. Keywords: indicator, colored plants, anthocyanins, free fatty acids (ALB)
Pig Sample Handling in Research Laboratory Scale Kulsum, Yuni; Adawiyah, Ayuni; Shofwaturrohmani, Fatiya; Nurjanah, Desi
Indonesian Journal of Halal Research Vol. 1 No. 1 (2019): February
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v1i1.4091

Abstract

The laboratory is a closed room or open room as a place for conducting experiments and research. One understanding when laboratory research is important to master is the management of samples, especially wet samples. One sample sample that requires special handling is a sample of pig. The management of samples, especially samples of unclean ingredients, do not yet have clear references so that they become a big dilemma and become uneasy with Muslims if they are not managed properly. The method used in writing this article is literature study, discussion and study. The results include laboratory layout, organizing laboratory management, and retrieval techniques as well as handling laboratory pig samples. In general, handling pig samples on a laboratory scale must be done with extra caution, detail, and aseptism 
Optimization of DNA Extraction Methods in Fresh Meat (Rat and Chicken Meat) based on Incubation Time Sunaryo, Hadi; Wirman, Adia Putra; Permanasari, Etin Diah; Nikmatullah, Nurul Azmah; Lestari, Dian; Nurjanah, Desi
Indonesian Journal of Halal Research Vol. 5 No. 2 (2023): August
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v5i2.21325

Abstract

DNA (deoxyribonucleic acid) extraction method is the process of separating DNA from the sample. In this process, the DNA obtained must be protected from contamination by RNA, carbohydrates, lipids, and proteins. Contamination of RNA, carbohydrates, lipids, and proteins can increase DNA purity. DNA purity was measured using a NanoDrop 2000 spectrophotometer measured by the absorbance ratio at 260 nm and 280 nm wavelengths. Good quality DNA will have an A260/A280 ratio of 1.7-2.0 and a concentration > 0.03 pg. This study aimed to obtain the appropriate DNA extraction method for fresh meat samples (a mixture of rat and chicken meat). This research consisted of two stages: the DNA extraction stage using the Progenus EasyFast™ Extraction Kit for Meat Products and the amplification stage using the EASYFAST™ Rat Detection Kit. This study used 16 samples of a mixture of rat meat and chicken with concentrations of rat meat: 5, 10, 15, and 20%. At the extraction stage, the incubation time was optimized for 15, 30, 45 minutes, and 1 hour. The results showed that the one hour incubation had a lowest CT value in the results of PCR amplification.
APPLICATION OF K-MEANS AND FUZZY C-MEANS ALGORITHMS TO DETERMINE FLOOD VULNERABILITY CLUSTERS (CASE STUDY: KUTAI KARTANEGARA REGENCY) Nurjanah, Desi; Anggriani, Indira; Hasanah, Primadina
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0821-0836

Abstract

Flooding show situation where areas that are not usually inundated, such as farmland and settlements, and city district areas, become inundated due to water. Floods can to occur when the flow of water on rivers or waste channels overrun its normal measurements. This study describes the K-Means and Fuzzy C-Means Algorithm methods for clustered flood-prone areas built on Districts in Kutai Kartanegara Regency. This research begins with data collection in the character of rainfall, land elevation, the number of victims affected, the quantity of damaged houses, the quantity of damage to facilities and the quantity of flood events. Before the data is processed using these two methods, data normalization will be carried out in a dataset which aims to shape the data into positional values from the same range. K-Means and Fuzzy C-Means are accustomed to identifying groups in each sub-district in Kutai Kartanegara Regency that have a level of vulnerability to floods. At this stage, 3 initial clusters were carried out, namely high, medium, and low vulnerability clusters. The validity test produces a Silhouette Index value of 0.574283589 and a Partition Coefficient Index of 0.78905. The outcome of the K-Means method with the standard deviation within and between clusters are 0.5131 and the Fuzzy C-Means method for the standard deviations within and between clusters is 0.3489. based uppon value of the silhouette index, partition coefficient index and standard deviation within and between clusters it results that Fuzzy C-Means is the best method of this study.
Co-Authors Adawiyah, Ayuni Adia Putra Wirman Anggriani, Indira DIAN LESTARI Etin Diah Permanasari Hadi Sunaryo Kulsum, Yuni Kusumastuti Kusumastuti Nikmatullah, Nurul Azmah Nurul Azmah Nikmatullah Primadina Hasanah Shofwaturrohmani, Fatiya