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All Journal Jurnal Ilmu Komputer dan Informasi Tropical Animal Science Journal Infotekmesin BAKTI : Jurnal Pengabdian Kepada Masyarakat
Dairoh
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Agriculture, Biological Sciences & Forestry Computer Science & IT Education Electrical & Electronics Engineering Energy Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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A Novel SNPs of the SREBF1 and SCARB1 Genes and the Association with Fatty Acid Profile in Bali Cattle Dairoh; Ulum, M. F.; Jakaria; Ishak, A. B. L.; Sumantri, C.
Tropical Animal Science Journal Vol. 46 No. 4 (2023): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2023.46.4.428

Abstract

This study aimed to investigate the genetic impact of single nucleotide polymorphisms (SNPs) of the sterol regulating element binding factor 1 (SREBF1) and scavenger receptor class B member 1 (SCARB1) genes on carcass and meat characteristics, as well as fatty acid composition, in the Bali cattle. The blood and beef samples used for DNA sequencing, physical assessment, and fatty acid analysis were collected from 95 male Bali cattle. The ultrasound images were analyzed using the Image-J NIH software. A total of 4 SNPs were identified in the SREBF1 gene and 5 SNPs in the SCARB1 gene. The results showed that the 4 SNPs in the SREBF1 gene, namely g.12629T>C, g.12731T>C, g.12881A>G, and g.12986C>T, were associated with heptadecanoic acid (C17:0) and cis-11-eicosanoic acid (C20:1). The SNPs g.12731T>C of the SREBF1 gene was associated with fat content, palmitoleic acid (C16:1), stearic acid (C18:0), cis-11-eicosanoic acid (C20:1), and total fatty acids. Furthermore, 4 SNPs in the SCARB1 gene, including g.72219C>T, g.72380C>A, g.72517G>A, and g.72607C>T correlated with longissimus dorsi thickness (LDT). All SNPs in the SCARB1 gene showed significant associations with cis-10 heptadecanoic acid (C17:1) and cis 8,11,14-eicosatrienoic acid (C20:3n6). The SNP g.72400A>G of the SCARB1 gene was related to caprylic acid (C8:0), lauric acid (C12:0), arachidonic acid (C20:4n6), monounsaturated fatty acids (MUFA), and unsaturated fatty acids (UFA). These results suggested that the identified polymorphisms in the SREBF1 and SCARB1 genes could serve as valuable references for investigating similar genes in other cattle breeds, particularly concerning fatty acids.
Aplikasi Virtual Tour SMK Negeri 3 Tegal Untuk Pengenalan Lingkungan Sekolah dan Media Promosi Dairoh; Af'Idah, Dwi Intan; Pratiwi, Riszki Wijayatun; Handayani, Sharfina Febi; Saputra, Irfan Triadi; Muhamad, Faisal Ali
Bakti : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): Bakti: Jurnal Pengabdian Kepada Masyarakat
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah XII Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/bakti.5.1.49-58

Abstract

Salah satu media pengenalan sekolah dengan memanfaatkan perkembangan teknologi adalah menggunakan teknologi virtual tour.  Aplikasi virtual tour sekolah SMK 3 Kota Tegal telah dibuat dengan berbasis web. Aplikasi tersebut telah dikenalkan oleh Dosen Sarjana Terapan Teknik Informatika melalui kegiatan pengabdian masyarakat kepada siswa kelas XII DKV, yang bertempat di aula Sekolah SMK N 3 Tegal, dengan jumlah peserta 72 siswa. Kegiatan ini berupa sosialisasi materi tentang teknologi virtual tour dan dilanjutkan dengan praktik pembuatan, penggunaan dan pengelolaan aplikasi virtual tour. Hasilnya menunjukkan bahwa peserta mengikuti kegiatan pengabdian dengan antusias, hal ini diketahui peserta telah mengenal dan mengetahui manfaat dari teknologi virtual tour untuk mengenalkan lingkungan sekolah dan media promosi. Selain itu juga, peserta dibekali dengan praktik guna meningkatkan skill terhadap tata kelola sebuah aplikasi virtual tour. Peserta Pengabdian ini mengikuti praktik secara antusias dan lancar. Hasil evaluasi dari peserta yang mengikuti kegiatan PKM ini diperoleh 82% peserta sudah dapat mengenal, memahami dan mempraktik dalam menggunakan aplikasi tersebut.
SIMPENDI-PHB: Sistem Informasi Manajemen Pengelolaan Penelitian dan Pengabdian Masyarakat Berbasis Website Dairoh; Wiro Sasmito, Ginanjar; Hidayatullah, M Fikri; Ratono; Yuniarti, Fina; Wijayatun Pratiwi, Riszki; Af’idah, Dwi Intan; Febbi Handayani, Sharfina
Infotekmesin Vol 13 No 1 (2022): Infotekmesin: Januari, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i1.861

Abstract

Document management for submission of proposals, assessments, and reports on research and service activities at the Research and Community Service Center of the Harapan Bersama Polytechnic is still manually carried out and not computerized. To facilitate the process of implementing, managing research and service management as well as supervising research, service, publication, and evaluation activities, an information system was built using the waterfall method. This system has been created under the name SIMPENDI PHB by involving 9 actors. The result is that the system runs according to the functions of the actors involved. This system was tested with black box and usability. The results of system testing (black box) is that 9 actors involved in this system have been running according to the function of each actor. As for the usability results by involving several actor menus, namely as many as 30 users consisting of 6 managers in related units, 4 users from the assessment team, and the proposer users (lecturers) is a UI/UX score of 86% in the "Very good" category.
Predicting Earthquake Magnitudes in Indonesia: Exploring the Potential of the Prophet Algorithm Nurindahsari, Susi; Wiyono, Slamet; Dairoh
Jurnal Ilmu Komputer dan Informasi Vol. 17 No. 1 (2024): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v17i1.1203

Abstract

Research on earthquakes has been extensively conducted by previous studies using various methods and specific discussions. Similarly, research to predict the magnitude of earthquakes that will occur in the future has also been conducted. This study employs the Prophet algorithm to test its capability in predicting a case study's magnitude using data with numerous missing values and outliers. The study is conducted without transformation and with Box-Cox and log-transformations. Transformations are applied to handle outliers. The results indicate that across the three experiments, the difference between the predicted and actual data ranges from 0.1 to 0.5 or even more. Performance metrics reveal that the log-transform is superior to the other two experiments, with a smaller MAE of 0.27 and a MAPE of 5.96%. Nevertheless, the use of the Prophet algorithm in this case study needs further investigation with different treatments to achieve more accurate results.
Co-Authors A. B. L. Ishak, A. B. L. Af'idah, Dwi Intan Af’idah, Dwi Intan C. SUMANTRI Febbi Handayani, Sharfina Ginanjar Wiro Sasmito, Ginanjar Handayani, Sharfina Febi Hidayatullah, M Fikri Jakaria Jakaria Muhamad, Faisal Ali Nurindahsari, Susi Ratono riszki wijayatun pratiwi, riszki wijayatun Saputra, Irfan Triadi Ulum, M. F. Wijayatun Pratiwi, Riszki Wiyono, Slamet Yuniarti, Fina