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All Journal Prosiding Seminar Nasional Pengabdian Kepada Masyarakat J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Muhammad Eka Suryana
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Energy Environmental Science Public Health Other

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Journal : J-KOMA : Jurnal Ilmu Komputer dan Aplikasi

 1 
Improvisasi Crawling pada Peta Web Menggunakan Algoritma Terdistribusi dengan Model Koordinasi Berbasis Socket Programming Muhammad Ridho Rizqillah; Muhammad Eka Suryana; Med Irzal
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 6 No 2 (2023): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v2i1.47277

Abstract

Search engines require a large amount of data to operate optimally. Handling large data necessitates massive crawling processes. This research aims to enhance crawling efficiency by implementing a distributed crawler using sockets as the communication medium between devices. The distributed architecture of the crawler system includes a tracker, manager, and client. Its primary goal is to improve crawling efficiency and effectiveness through distributed means. The final outcome of this innovation shows a distributed increase of 30% in data acquisition with two crawlers compared to individual crawlers, with no duplicated data.
Prototype System Klasifikasi Genus Ikan Menggunakan Viola-Jones Feature Extraction dan Boosting Berbasis Decision Tree Nehemiah Austen Pison; Muhammad Eka Suryana; Med Irzal
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 6 No 2 (2023): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v2i1.47278

Abstract

Sektor budidaya perikanan di Indonesia adalah sebuah sektor ekonomi yang bernilai besar bagi ekonomi masyarakat Indonesia, namun sektor ini masih memiliki problem yang lumayan besar dalam klasifikasi ikan. Dalam penelitian ini, penulis menggunakan metode Viola-Jones Feature Extraction dan Boosting Berbasis Decision Tree untuk melakukan klasifikasi ikan. Langkah pertama dalam metode ini adalah dengan melatih weak classifier untuk mengklasifikasi beberapa fitur beberapa kelas ikan, diikuti dengan Boosting, dan pembuatan sebuah cascade untuk mempercepat proses klasifikasi. Hasil dari proses ini adalah sebuah program yang dapat mengklasifikasi dan menganotasi ikan berdasarkan input gambar.
Sistem Pakar Pengenalan Penyakit Kucing Berbasis Android Menggunakan Metode Naive Bayes Angga Arian; Ria Arafiah; Muhammad Eka Suryana
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 6 No 1 (2023): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v1i1.26571

Abstract

The animal that is currently being studied a lot is the cat, because there has been a lot of research related to this cat and it is easy to learn. This cat research also needs an expert or experts who can study this, especially cat diseases. This thesis research is aimed at the need for the public to know cat disease which is then applied in the form of an Android-based expert system application. Making this application of an expert system for recognizing cat diseases uses a method that is often used and studied by many people, namely the Naïve Bayes method. The purpose of making this cat disease recognition expert system is to help users, especially cat lovers, to get information about recognizing and treating their pets at an early stage when they have problems with their health so that they can recover faster from their illness. The results of the expert system research on the introduction of cat diseases, namely this application is used to determine the cat's disease suffered from the symptoms that have been described in the application and these symptoms are obtained directly from interviews from the two doctors (experts). The test also got good results, namely 100%.
Ekspansi Aplikasi Aqua Breeding dengan Penambahan Fitur Inventarisasi untuk Penentuan Harga Dasar Produk Perikanan Berbasis Android Alfatih, Akbar Maulana; Muhammad Eka Suryana; Med Irzal
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 6 No 2 (2023): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v2i1.47271

Abstract

Freshwater fisheries cultivation is one of the fisheries sources in Indonesia. In cultivation, it is important to record inventory indicators such as fish feed, fish supplements, pond assets, pond electricity, and fish seed, which are useful in determining fish selling prices. This research aims to expand the application of Aqua Breeding by adding inventory features for recording inventory usage and determining minimum fair fish prices. Data for this study were derived from discussions with freshwater fish cultivators from JFT (J Farm Technology) and literature studies involving relevant research journals. These discussions resulted in user requirements that guided the creation of a web service backend and its implementation on a mobile frontend. The system development method employed was Scrum with five sprints, utilizing Flask with Python for the backend and Flutter with Dart for the frontend technologies. The final outcome of this research is a web service in the form of a REST API with documentation, integrated into an Android-based application, validated through unit testing and User Acceptance Testing (UAT).
Co-Authors Alfatih, Akbar Maulana Angga Arian Ibnu Hadi Lukita Ambarwati Mahatma, Yudi Med Irzal Muhammad Ridho Rizqillah Nehemiah Austen Pison Nur Adzhani Ria Arafiah Sandrina Widya Andani Tiara Nabila Yudi Mahatma