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All Journal Plano Madani : Jurnal Perencanaan Wilayah dan Kota Jurnal Penelitian Pendidikan IPA (JPPIPA) IJIS - Indonesian Journal On Information System Jurnal Meteorologi Klimatologi dan Geofisika Jurnal ULTIMA Computing Indonesian Journal of Halal Research Motor Bakar : Jurnal Teknik Mesin Jurnal Ilmiah Mahasiswa teknik eProceeding of TIK Legal: Journal of Law Jurnal Meteorologi dan Geofisika
Ryan, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Other

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Improving Accuracy of Daily Weather Forecast Model at Soekarno-Hatta Airport Using BILSTM with SMOTE and ADASYN Danitasari, Finkan; Ryan, Muhammad; Handoko, Djati; Pramuwardani, Ida
Jurnal Penelitian Pendidikan IPA Vol 10 No 1 (2024): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i1.5906

Abstract

Bidirectional LSTM (BiLSTM) is an extension of LSTM which can improve model efficiency and accuracy in classification scenarios based on time series data or longer time series data repeatedly. This research uses the BiLSTM algorithm to build a daily weather forecast model at Soekarno-Hatta Airport. The model built will assist forecasters in making weather forecasts on a local scale. This research is expected to be implemented and able to increase the verification value of Soekarno-Hatta Airport weather forecasts to support flight safety in Indonesia. The dataset used is hourly surface air weather parameter data (synoptic data) of Soekarno-Hatta Meteorological Station for the period January 2018 - December 2022. There is an imbalance in the data set, so the SMOTE and ADASYN techniques are used to handle the problem. The output of this research is weather conditions categorised into sunny, sunny cloudy, cloudy, light rain, moderate rain, heavy rain, and thunder rain. The results obtained will go through model verification and evaluation by finding the accuracy value by comparing the weather forecast model output with actual weather data using a multi-category contingency table. The BiLSTM - ADASYN model obtained the highest average accuracy value compared to other models, which was 83.2%.
Implementasi Security Onion Untuk Monitoring Serangan Port Scanning Ryan, Muhammad; Amri, Amri; Davi, Muhammad
eProceeding of TIK Vol 5, No 2 (2025): eProTIK: November, 2025
Publisher : Politeknik Negeri Lhokseumawe

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Abstract

Keamanan jaringan merupakan aspek penting yang harus dijaga untuk memastikan ketersediaan layanan sekaligus melindungi data dari ancaman siber. Salah satu teknik serangan yang sering digunakan adalah port scanning, yaitu upaya penyerang untuk menemukan port terbuka yang dapat dimanfaatkan. Selain itu, serangan Distributed Denial of Service (DDoS) juga kerap digunakan untuk melemahkan atau melumpuhkan layanan dengan membanjiri jaringan menggunakan lalu lintas berlebih. Penelitian ini bertujuan menilai efektivitas Security Onion, sebuah sistem deteksi intrusi berbasis open source, dalam mendeteksi serangan terhadap MikroTik CHR yang terhubung langsung ke jaringan publik. Pengujian dilakukan dengan meluncurkan serangan dari jaringan luar menggunakan perangkat Kali Linux yang menargetkan alamat IP publik MikroTik. Topologi penelitian terdiri atas MikroTik CHR sebagai gateway, Security Onion sebagai sistem pemantauan melalui port mirroring, serta perangkat penyerang dari internet. Hasil pengujian menunjukkan bahwa Security Onion berhasil mendeteksi aktivitas port scanning dan DDoS secara konsisten, dengan tingkat deteksi mencapai 100% berdasarkan perhitungan Attack Detection Rate (ADR). Temuan ini membuktikan bahwa Security Onion mampu memberikan peringatan dini terhadap serangan dari jaringan luar serta berperan penting dalam meningkatkan keamanan jaringan berbasis MikroTik.
Effect of Halal-Certified Slaughterhouses and Storage Time on Microbiology and Organoleptic Quality of Broiler Chicken Meat Irfan, Irfan; Lubis, Yanti Meldasari; Ryan, Muhammad; Yunita, Dewi; Lahmer, Rabya A
Indonesian Journal of Halal Research Vol. 5 No. 1 (2023): February
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v5i1.17390

Abstract

Chicken slaughterhouses play an essential role in producing halal chicken. In previous study, only nine halal-certified chicken slaughterhouses in Banda Aceh. This study determined the effect of halal-certified slaughterhouses and storage time on broiler chicken meat's microbiology and organoleptic quality. This study uses a factorial randomized block design with two factors (halal-certified slaughterhouses (the slaughterhouse which already has a halal certificate (S1) and the slaughterhouse which has not yet halal certified (S2) and storage time (0 hours (P1), 3 hours (P2), 6 hours (P3), and 9 hours (P4)). Each treatment repeats three times. Data were statistically analyzed using analysis of variance (ANOVA) and continued with Duncan's New Multiple Range Test (DNMRT) at a 5% level. Samples were analyzed for total plate counts (TPC), pH, and descriptive organoleptic tests of meat color, aroma, moisture, elasticity, and skin color. The results showed that the quality of meat from chickens slaughtered at halal-certified slaughterhouses was better than that of not halal-certified slaughterhouses in terms of lower microbial number and pH value, as well as the higher value of descriptive organoleptic characteristics (meat color, aroma, elasticity, and skin color). There is no difference found in meat moisture.
Co-Authors Ali, Ismail Amran, Andi Salsabila Amri Amri Ananda, Naufal Aries Kristianto Budiawan, Irvan Danitasari, Finkan Deddy Kurniadi, Deddy Deltri Dikwardi Eisenring Dewi Yunita Fatimah Azzahra Fransisko, Aang Gaol, Adelina Lumban Hamid Abdillah Handoko, Djati Lahmer, Rabya A Lestari, Wina Dina Lusa Indah Prahartiwi Magfirah, Nurul MMSI Irfan ,S. Kom Muhammad Davi Mukhlish, Faqihza Mustafa, Dewi Wahyuni Pramuwardani, Ida Pratama, Khafid Rizki Santoso, Bayu Siadari, Ejha Larasati Supriadi Takwim Trilaksono, Nurjanna Joko Wicaksana, Haryas Subyantara Wulandari, Ayu Vista Yanti Meldasari Lubis