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All Journal J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Teknologi Dan Sistem Informasi Bisnis Elektrika Borneo DedikasiMU: Journal of Community Service Jurnal Abdi Masyarakat Indonesia Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Jurnal Sains dan Teknologi Jurnal Pengabdian Sains dan Humaniora Curtina SOROT: Jurnal Pengabdian Kepada Masyarakat Seminar Nasional Teknologi dan Multidisiplin Ilmu
Agus Wibowo
Politeknik Elektronika Negeri Surabaya
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Pengembangan Aplikasi E-Commerce Disertai fitur Appointment untuk Memasarkan Produk Perikanan di Desa Rejosari Mufid, Mohammad Robihul; Surya Saputra, Ega; Muhammad David Erlangga, Aprileo; Basofi, Arif; Mawaddah, Saniyatul; Ikawati, Yunia; Teguh Setyadi, Agung; Faradisa, Rosiyah; Aditama, Darmawan; Sukaridhoto, Sritrusta; Chafid, Much; Turmudzi, Muhammad; Wibowo, Agus; Eskaluspita, Pratama; Putri Lestari, Novita; Medya Mahardhika, Yesta; Dewi Fajrianti, Evianita; Liesvarastranta Haz, Amma; Fahruddin, Agus; Sadah, Khozinatus
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 10 No 3 (2025): Desember
Publisher : Politeknik Negeri Jember

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Abstract

Desa Rejosari memiliki potensi budidaya perikanan yang besar, namun pemasaran hasil panen masih mengandalkan jalur tradisional sehingga jangkauan konsumen terbatas, media promosi online belum terintegrasi, dan proses transaksi seringkali tidak efisien akibat komunikasi yang tidak terstruktur. Penelitian ini bertujuan mengembangkan aplikasi e-commerce berbasis website dengan fitur appointment untuk mempermudah pemasaran produk perikanan, memperluas pangsa pasar, serta memfasilitasi penjadwalan pertemuan antara pemilik tambak dan pengepul di desa Rejosari. Metodologi pengabdian masyarakat di desa Rejosari ini dimulai dari perumusan masalah di mitra, penyusunan program rencana kerja, sosialisasi dan pelatihan, serta monitoring dan evaluasi. Fitur yang tersedia diantaranya katalog produk, manajemen stok real-time, pencarian lokasi Pengepul, keranjang belanja, dan appointment. Hasil penelitian menunjukkan bahwa aplikasi ini berhasil menjembatani kesenjangan informasi antara penjual dan pembeli, meningkatkan transparansi harga dan ketersediaan produk, serta mendorong adopsi teknologi digital di kalangan pelaku usaha perikanan lokal. Aplikasi ini juga memfasilitasi koordinasi yang lebih baik melalui sistem penjadwalan terstruktur, dan mengurangi miskomunikasi dalam transaksi.
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.
An Instant Online CV Creation Workshop Using Generative AI and a Web-Based Platform to Improve Digital Literacy and Job Readiness for Vocational High School Students Angga Lisdiyanto; Addien Haniefardy; Laqma Dica Fitrani; Agus Wibowo; Ikhwan Abdillah; Nurul Fuad; Winarti; Yerezqy Bagus; Dina Zatusiva Haq; Yoga Ari Tofan; Vinza Hedi Satria
Jurnal Pengabdian Sains dan Humaniora Vol. 5 No. 1 (2026): 2026 May Edition
Publisher : Fakultas Keguruan dan Ilmu Pendidikan-Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpsh.v5i1.10943

Abstract

Graduates of Vocational High Schools (SMK) consistently contribute the most to Indonesia's Open Unemployment Rate (TPT), reaching 8.63% as of August 2025. A major issue is students' limited ability to develop relevant digital personal branding aligned with modern recruitment standards, such as having an attractive and accessible online Curriculum Vitae (CV). This community service project (PkM) aims to equip 12th-grade students at SMK Al-Amin Mojowuku, Kedamean, Gresik, with skills to create instant website-based CVs using three free tools: generative AI (DeepSeek), image hosting service (ImgBB), and HTML publishing platform (Tiiny.host). Conducted offline on April 28, 2026, with 28 participants, the workshop employed project-based learning combined with AI-assisted learning. The activity involved needs analysis, module development, workshops through lectures and practical exercises, and output evaluation. Results showed all participants successfully published personal CV websites with various themes such as manga comics, anime, and floral motifs. Quantitative indicators included a 100% task completion rate, high active engagement, and positive feedback on material relevance. This activity effectively improved digital literacy, creativity and prepared students for digital-focused recruitment processes
A Chatbot-Based Expert System for Food Crop Disease Diagnosis Saniyatul Mawaddah; Muhammad Turmudzi; Dewi Wulansari; Agus Wibowo
Jurnal Teknologi Informasi dan Terapan Vol 13 No 1 (2026): June
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v13i1.492

Abstract

The agricultural sector is very important for Indonesia's food security, however, plant diseases pose a serious threat that can significantly reduce crop yields. The limited availability of agricultural experts often hinders farmers from obtaining rapid and accurate diagnoses. To address this issue, this research develops a chatbot-based expert system using the forward chaining method to assist farmers in conducting self-diagnosis. This method works by drawing conclusions from the symptoms entered, while the chatbot provides real-time interactions that are easy to use. System testing shows good performance, black box testing ensures that all features operate without errors, with a diagnostic accuracy of 87.5 percent, as 42 out of 48 cases correspond with expert assessments. Furthermore, usability testing with 52 respondents yields a System Usability Scale score of 79.18, categorized as good. The results of this research indicate that the developed system is accurate, efficient, and practical, with the potential to serve as a widely applicable solution to help
Co-Authors Abdillah, Ikhwan Achmad Mufliq Addien Haniefardy Aditama, Darmawan Angga Lisdiyanto Aninda Rahmawati Arif Basofi Arif Basofi Arna Fariza Artiarini Kusuma Nurindiyani Awang Andhyka Bagas Firhanudin Basofi, Arif Chafid, Much Damastuti, Fardani Annisa Darmawan Aditama Darmawan Aditama Dewi Fajrianti, Evianita Dewi Wulansari Dina Zatusiva Haq Dita Aulia Rahma Eskaluspita, Pratama Fahruddin, Agus Faradisa, Rosiyah Fardani Annisa Damastuti Fardani Annisa Damastuti Fitrani, Laqma Dica Ikawati, Yunia Ikhwan Abdillah Imam Junaidi Irma Wulandari Jauari Akhmad Nur Hasim Kurnia, Lusi Laqma Dica Fitrani Liesvarastranta Haz, Amma Lisdiyanto, Angga Lukman Zaman Mawaddah, Saniyatul Medya Mahardhika, Yesta Moch. Robihul Mufid Much Chafid Mufid, Mohammad Robihul Muhammad David Erlangga, Aprileo Muhammad Muharrom Al Haromainy Muhammad Robihul Mufid Muhammad Turmudzi Novita Putri Novita Putri Lestari Nur Syaela Majid Nurul Fuad Pratama Ekaluspita Pratama, Yogi Putri Lestari, Novita Risalatun Nuriyah Risma Ayu Damayanti Rizky Aditya Nugroho Rosiyah Faradisa Rosyida Sadza Afifah Sadah, Khozinatus Salsabil Tsabita An Nabilah Saniyatul Mawaddah Silvi Maf’ul Sa’diyah Surya Saputra, Ega Teguh Setyadi, Agung Tri Septianto Vinza Hedi Satria Widi Sarinastiti Winarti Winarti ., Winarti Winarti Winarti Yerezqy Bagus Yesta Medya Mahardhika Yoga Ari Tofan Yunia Ikawati Yunia Ikiawati Yusuf Afandi Zulfian Nafis