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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pengabdian UntukMu NegeRI JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Geografi, Edukasi dan Lingkungan JPT : JURNAL PROTEKSI TANAMAN (JOURNAL OF PLANT PROTECTION) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) Khidmat: Journal Community Service Scientific Journal of Engineering Research
Gunawan, Rahmad
Universitas Muhammadiyah Riau
Religion Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Klasifikasi serangan DDoS dengan metode random forest dan teknik class weight pada dataset CICDDoS2019 Mualfah, Desti; Ardiansyah, Rudi; Gunawan, Rahmad
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10731

Abstract

The rapid advancement of information technology has significantly influenced various aspects of life, including an increasing reliance on network-based services. However, this dependence has also led to the emergence of more complex cybersecurity threats, one of the most prominent being Distributed Denial of Service (DDoS) attacks. These attacks can disrupt service availability by overwhelming target systems with excessive traffic. A major challenge in detecting DDoS attacks lies in the wide variety of attack patterns and the class imbalance that commonly occurs in network traffic datasets. To address these issues, a machine learning–based approach capable of handling complex attack behaviors while compensating for imbalanced data distribution is required. One potential solution is the use of the Random Forest algorithm with class-weight techniques, applied to the CICDDoS2019 dataset. The research procedure includes data collection and exploration, preprocessing steps such as handling missing and infinite values, encoding categorical attributes, and feature normalization. The dataset is then divided into training and testing subsets before being processed by the Random Forest model. Model evaluation is conducted using a confusion matrix along with accuracy, precision, recall, and F1-score metrics. Experimental results show that incorporating class weight significantly improves model performance, achieving an accuracy of 99.98%, precision of 99.98%, recall of 99.97%, and an F1-score of 99.97%. These findings demonstrate that the proposed approach is highly effective for accurately detecting and classifying DDoS attacks.
Filosofi Pemanfaatan Enzim Bromelain Hasil Fermentasi Nanas sebagai Agen Bioaktif untuk Bone Healing dan Kontribusinya terhadap Ekologi Maritim Berkelanjutan Gunawan, Rahmad; AR, Hasnah Faizah
Khidmat: Journal of Community Service Vol 2 No 3 (2025): Desember, 2025
Publisher : Pusat Studi Kebijakan dan Tata Kelola Maritim, Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/khidmat.v2i3.7929

Abstract

Pemanfaatan enzim bromelain yang diperoleh dari fermentasi limbah nanas merupakan wujud pergeseran paradigma dari ekonomi linear menuju bioekonomi sirkular dan bioekonomi biru yang menautkan kesehatan manusia dengan kelestarian ekosistem maritim. Limbah kulit, inti, dan mahkota nanas, yang umumnya dipandang sebagai residu tak bernilai, sesungguhnya kaya akan enzim proteolitik bromelain yang berpotensi sebagai agen bioaktif untuk mendukung proses bone healing. Artikel ini bertujuan menelaah secara filosofis dan ilmiah potensi bromelain hasil fermentasi nanas sebagai agen adjuvan penyembuhan tulang sekaligus sebagai instrumen pengurangan beban limbah agrikultur yang bermuara ke ekosistem pesisir dan laut. Metode yang digunakan adalah telaah pustaka naratif dengan penguatan semi-sistematis melalui penelusuran literatur. Hasil telaah menunjukkan bahwa bromelain fermentasi nanas memiliki aktivitas antiinflamasi, proteolitik, dan imunomodulator yang relevan dengan fase-fase kunci penyembuhan tulang, serta berpotensi diintegrasikan ke dalam berbagai platform biomaterial seperti hidrogel dan scaffold untuk pelepasan lokal yang terkontrol. Pada saat yang sama, fermentasi limbah nanas memungkinkan skema produksi enzim yang mendekati konsep zero-waste, membuka peluang ekonomi pada skala komunitas hingga industri, dan mengurangi aliran limbah organik ke wilayah pesisir. Secara filosofis, pemanfaatan bromelain hasil fermentasi nanas dimaknai sebagai upaya “memulihkan tulang manusia tanpa merusak tulang punggung ekosistem laut”, yang menyatukan agenda inovasi terapi regeneratif, pengelolaan limbah yang berkeadilan ekologis, dan penguatan ekologi maritim berkelanjutan.
Co-Authors . Reflinaldon Abdurachman, Muhammad Andhika Ade Pratama Alfaridzi, M Ilmi Alfian, Haris Alistraja Dison Silalahi Amin Hariyanto Aminuyati Andi Nur Insani ANDRIANSYAH Apri Yanto Arfa, Laura Zevira Asno Azzawagama Firdaus Avicenna, Achyar Zein Baidarus Brantas Suharyo G Damayanti, Risma Danang Mulyadipa Suratno Desti Mualfah Edi Ismanto Edi Rian Kartiko Evans Fuad Fadilla, Niken Rahma Fathurrahman, Raihan Fatma, Yulia Fauzan Salim Febby Apri Wenando Filamori, Refly Fauzan Furizal Gabriel Diemesor Hadhrami Ab Ghani Harmawan, Muhamad Rizki Harun Mukhtar Hasnah Faizah AR Hayami, Regiolina Hotma RS I Wayan Medio Illahi, Kevanda Sondani Ima Damayanti Imer HPS Issandra, Febri Januar Al Amien Jasmin, Muhammad Iqbal Maysa Putri, Yulia Mirano, Muhammad Fitter Mualfah, Desti Muhammad Dimas Alfahri Nadira, Besti Zahratul Naufal Nazifah, Hayatun Nofrial . Noh Aisyah Mohd Ali Nugroho, Altaric Nurkhairi Fitri Nurul Izrin Md Saleh Ovami, Debbi Chyntia Pradipa, Raditya Pratiwi, Husnatul Fadillah Putra, Yogi Ernanda Rahmad Firdaus Rahman Septiadi Rahmania, Marsha Nailah Rais, Muhammad_Akmal Ramadhan, Syahrudin Ramadhoni Rangga Alif Faresta Razkia, Binta Riani, Della Ayunda Rizqy Fadhlina Putri Rudi Ardiansyah Soni Sri Wahyuni Sugiyadi, Riski Syahril Tania, Manzilah Ditiara Ulva Elviani Vania, Azra Gusti Wahyudhy, Adhe Indra Wesley, Royman Wibowo, Angga Yudha Wide Mulyana Widyaningrum, Amelia Ismania Sita Wijaya, Setiawan Ardi Yaherwandi Yanti, Elis Yordan, Gibril Yulia Fatma Yuliskania, Aisyara Yusgiantoro, Purnomo Zaskiv S, Marshal Khairana Zilham, Adib