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All Journal TEKNIK INFORMATIKA Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) PROSIDING CSGTEIS 2013 Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika dan Teknik Elektro Terapan EMITTER International Journal of Engineering Technology Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sains Dan Teknologi (SAINTEKBU) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi dan Informasi INTEK: Jurnal Penelitian J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) International Journal of Applied Sciences and Smart Technologies Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang GUYUB: Journal of Community Engagement Journal of Applied Computer Science and Technology (JACOST) International Conference on Industrial Revolution for Polytechnic Education Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi El-Mujtama: Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Jurnal ilmiah teknologi informasi Asia
Arna Fariza
Politeknik Elektronika Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Klasifikasi Tinggi Badan Menggunakan Metode Mask R-CNN Permana Sanusi, Amadea; Fariza, Arna; Setiawardhana
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3348

Abstract

Tinggi badan adalah parameter penting saat memasuki sebuah wahana. Penggunaan alat keselamatan saat bermain wahana permainan tidak akan maksimal jika wisatawan tidak memiliki tinggi badan yang sesuai dengan kriteria untuk memasuki wahana tersebut. Dalam penerapannya, seleksi wisatawan yang diperbolehkan masuk ke dalam wahana permainan masih menggunakan pengukuran tinggi badan secara manual. Penelitian ini bertujuan untuk mengurangi resiko terjadinya kecelakaan pada kendaraan dengan mengklasifikasikan dan mengimplementasikan sistem otomasi menggunakan pendekatan deep learning. Penggunaan deep learning yang berkembang saat ini dapat digunakan untuk mengklasifikasikan pengunjung. Penelitian ini mengusulkan proses klasifikasi tinggi badan menggunakan metode Mask R-CNN yang dapat digunakan untuk melakukan klasifikasi lebih dari satu orang, sehingga mempercepat antrean wisatawan pada wahana permainan. Hasil pengujian menunjukkan bahwa model Mask R-CNN yang dibangun berhasil mengklasifikasikan objek dengan memberikan bounding box, masking, dan label yang sesuai dengan objek. Membangun model Mask R-CNN sangat dipengaruhi oleh variatif gambar pada dataset dan proses anotasi gambar di dalam dataset. Evaluasi model menunjukkan hasil perhitungan mAP yang didapatkan sebesar 71%. Penelitian ini telah memenuhi tujuan utama dalam penelitian karena model Mask R-CNN berhasil melakukan klasifikasi yang sesuai.
Classification of flood disaster level news articles using Machine Learning Rahmad Santosa; Arna Fariza; Firman Arifin
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3646

Abstract

Floods have a significant socio-economic impact on Indonesian society. Much of this information is sourced from online news articles and social media. This research investigates whether the Support Vector Machine (SVM) method can be used for flood disaster level classification (low, medium, and high). Our methodology involves preparing data extracted from textual news articles on the National Disaster Management Agency (BNPB) website on the topic of flooding. We then labeled the data according to Regulation No. 02/2012 on general guidelines for disaster assessment and used the Support Vector Machine (SVM) method. Training and testing were conducted using different datasets, followed by accuracy and error evaluation. In addition, we considered the performance comparison of SVM with other classification methods, including Decision Tree, Naive Bayes, Adaboost, Random Forest, and Xgboost. The experimental results show that SVM still does not get good accuracy results for flood disaster level classification. The SVM accuracy level result of (52%) is still low compared to Random Forest (78%), and Xgboost (68%). Further research is expected to increase the accuracy of SVM for flood level classification.
Design MicroServer Framework Library with Swoole for Real-time Application Development Mufid, Muhammad Robihul; Pratama, Yogi; Fariza, Arna; Mawaddah, Saniyatul; Ikawati, Yunia; Aditama, Darmawan; Tahir, Muhlis
Jurnal Teknologi Informasi dan Terapan Vol 11 No 2 (2024): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i2.437

Abstract

The PHP programming language is known as a synchronous programming language because the request execution model is carried out sequentially and is very easy to apply in creating systems with simple scenarios. With this model, there will be many challenges in developing real-time applications because sequential model execution can cause bottlenecks because it initializes threads on each request which causes more resource consumption, making it less suitable for handling I/O (Input/Output) operations on an Intense scale. This study aims to implement an asynchronous model in PHP by developing a Xel Async framework that can be used as a foundation for creating micro servers using the Swoole extension. This study will explain the framework developed starting from system modeling, component design, abstraction design that focuses on response time, throughput, and efficient and effective resource usage in handling heavy traffic. To see the performance of the framework developed, an analysis was carried out with other frameworks such as Express Js. And the results show that the Xel Async framework offers significant performance carried out on benchmark tests for 100, 250, 500, 1000 connections and is able to produce a better amount of latency. In addition, an analysis was also carried out for throughput on Xel Async and Express Js, which also produced better performance than Express Js
Spatial Mapping of Endemic Diseases in Lamongan Regency Using Natural Breaks Clustering Chafid, Much; Hujairi, Ahmad Walid; Turmudzi, Muhammad; Fariza, Arna; Mufid, Mohammad Robihul; Rahmawati, Shintia Dewi
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.459

Abstract

Endemic diseases are health problems that require continuous monitoring to prevent their spread. However, the lack of interactive spatial data visualization can make it difficult for health agencies to analyze the distribution of diseases effectively. This study aims to build a spatial mapping system for endemic diseases in Lamongan Regency using the Natural Breaks clustering method. The data used in this study include sub-district data, population, and endemic diseases obtained from the Lamongan Regency health profile website. The system was developed using the Laravel 10 framework and MySQL database, with Metabase as a data visualization tool. The geovisualization method is applied to display the distribution of diseases in the form of interactive maps based on sub-districts. The system allows users to trace the spatial and temporal trends of endemic diseases more easily. The test results show that the system is able to display information accurately and interactively, so that it can help health agencies in monitoring and planning regional health policies more effectively
Mitigating Distributed Denial of Service Attacks on IoT Systems Using Gemstone Architecture Mufid, Mohammad Robihul; Pratama, Yogi; Fariza, Arna; Mawaddah, Saniyatul; Chafid, Much; Wibowo, Agus
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.460

Abstract

One of the problems in the Internet of Things (IoT) system is the Distributed Denial of Service (DDoS) attack on the information technology infrastructure on the Internet network. This is because the IoT device system does not have a portal gateway configuration that is capable of providing the necessary security and privacy protection. In this study, the focus is on the mechanism for reducing the impact of DDoS attacks of the http flood type on the layer framework using PHP Swoole. PHP Swoole utilizes event-driven which provides several features to access the transport layer in onConnect so that it can be used to implement initial security such as access control lists, connection concurrency management, and optimizing server performance. The methodology used is to develop a TCP connection filtering algorithm by implementing a simple queue system by accepting 67% of connections to be forwarded to the next layer and 33% of connections will be queued for a timeout of 2 seconds. The results of this study show that the server can minimize the impact of DDoS and handle traffic specifically for http requests with an average latency of 871.8ms.
Co-Authors Achmad Basuki Aditama, Darmawan Afifah, Izza Nur Afrida Helen Agus Prayudi Agus Wibowo Agus Wibowo Ahmad Walid Hujairi Ahsan, Ahmad Syauqi Al Falah, Adam Ghazy Alfaqih, Wildan Maulana Akbar Ali Ridho Barakbah Amadea Permana Sanusi Andhik Ampuh Yunanto Andy Soeseno Annisa Rasyid Ardinur Mahyuzar Ardiyanto Happy Susilo Arif Basofi Arif Basofi Arif Basofi Asmara, Rengga Aziz, Adam Shidqul Basofi, Arif Basofi, Arif Bima Sena Bayu Dewantara Chafid, Much Dadet Pramadihanto Dadet Pramadihanto Damastuti, Fardani Annisa Darmawan Aditama Desy Intan Permatasari, Desy Intan Deyana Kusuma Wardani Edelani, Renovita Entin Martiana Kusumaningtyas Eskaluspita, Pratama Fardani Annisa Damastuti Faris Abdi El Hakim Faris Abdi El Hakim Fatihia, Wifda Muna Febrianti, Erita Cicilia Ferry Astika Saputra Fikriyah, Masnatul Firman Arifin Hamida, Silfiana Nur Harun, Ahmad Hestiasari Rante Hestiasari Rante Hidayah, Nadila Wirdatul Huda, Achmad Thorikul I Made Akira Ivandio Agusta I.G. Puja Astawa Idris Winarno Idris Winarno Ikawati, Yunia Ilham Iskandariansyah Imam Mustafa Kamal Istiqomah, Galuh Nurul Iwan Syarif iwan Syarif Jamilatul Badriyah Jauari Akhmad Nur Hasim Kanza, Rafly Arief Khasanah, A’at Khoirunnisa, Asy Syaffa Kholid Fathoni Kindarya, Fabyan Kirana Hanifati Kusuma, Oskar Galih Wira Kusuma, Selvia Ferdiana M Udin Harun Al Rasyid, M Udin Harun Madyono, Madyono Majid, Nur Syaela Marcell Bintang Setiawan Maulana, Rifqi Affan Mawaddah, Saniyatul Mayangsari, Mustika Kurnia Mochammad Rizki Hidayat Mohammad Robihul Mufid Mu'arifin Mu'arifin Much Chafid Mufid, Mohammad Robihul Mufid, Muhammad Robihul Muhammad Turmudzi Nabilah, Anisah Nana Ramadijanti, Nana Nindy Ilhami Ninik Purwati Novita Putri Lestari Nur Rosyid Mubtadai, Nur Rosyid Nurhidayah - Nurhidayah - Oktavia Citra Resmi Rachmawati Pratama, Chrysna Ardy Putra Pratama, Yogi Primajaya, Grezio Arifiyan Puspasari Susanti Rachmawati, Oktavia Citra Resmi Rahmad Santosa Rahmana, Rizal Rahmawati, Shintia Dewi Rante, Hestiasari Rengga Asmara Riyanto Sigit, Riyanto Rosiyah Faradisa Rossi Arisdiawan Rudi Kurniawan Sa'adah, Umi Safrudana, Maulyd Ahdan Saniyatul Mawaddah Sasmita, Rizka Rahayu Sesulihatien, Wahjoe Tjatur Setiawardhana Setiawardhana Setiawardhana Setiawardhana Setiawardhana Setiawardhana, Setiawardhana Sumarsono, Irwan Susanti, Puspasari Tahir, Muhlis Tessy Badriyah Tessy Badriyah, Tessy Tita Karlita Titis Octary Satrio Tri Harsono Tri Harsono Wahjoe Tjatur Sesulihatien Walujo, Ivana Yudith Wifda Muna Fatihia Wiratmoko Yuwono Yesta Medya Mahardhika Yoedy Moegiharto Yufi Eko Firmansyah Yunia Ikawati Zulfian Nafis