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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.
Face Tracker Audio for Saronen Music Using Augmented Reality on Social Media Hujairi, Ahmad Walid; Khoironi, Khoironi; Chafid, Much; Umam, Ahmad Khairul; Anugerah, Ahmed David
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.v12i2.425

Abstract

Saronen music is a traditional Madurese music commonly played at cultural and traditional events. Saronen music typically combines traditional instruments such as gamelan, trumpet, kenong, korca, large drums, and small drums, producing a unique sound characteristic of Madura. This research aims to preserve saronen music through the development of an interactive filter on Instagram and Facebook using augmented reality. The face tracker feature allows users to interact with each instrument using head movements or facial expressions. The development method, MDLC encompasses concept, design, material collection, design, testing, and distribution. Functional research results indicate the filter can run well on Android and iOS operating systems. Testing on 31 social media users yielded positive feedback from the majority, stating that the filter has clear instructions, a low error rate, is easy to use, satisfying, and attractive. This innovation is expected to be a means of preserving saronen music for the younger generation through social media.
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.