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Diseminasi Teknologi Pembudidaya Ikan pada Kelompok Pembudidaya Ikan di Kelurahan Demang Lebar Daun Griha Tofik Isa, Indra; Mayasari, Riana; Rahmanda Putra, Rian
Literasi Jurnal Pengabdian Masyarakat dan Inovasi Vol 2 No 1 (2022)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang Jl. Rangga Sentap, Dalong Sukaharja, Ketapang 78813. Telp. (0534) 3030686 Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/literasi.v2i1.1205

Abstract

The fisheries sector is the main part of the people of South Sumatra because fish is the main material for common snack in South Sumatera such as pempek, pindang, tekwan and others. However, the availability in the market is less stable resulting in high fluctuating prices. The main problem that causes this condition to occur upstream is the process of feeding by fish farmers include “Macan Kumbang” Fish Cultivator Group. In this process there is inefficiency up to 75%. In general the “Macan Kumbang” Fish Cultivators have not been introduced with the help of technology. The priority problems faced by partners are the provision of fish feed is not timely,frequent overfeeding,pond water quality is difficult to measure,there is no fish farming waste management yet,partners have difficulty in predicting the return on capital from fish farming. So that in this activity the aim is to build IoT-based fish farming technology that is integrated with Urban Farming which can provide added value for the fish farming results of the Panther Panther fish cultivator group. The implementation method is carried out by socialization,identification of needs,tool design,making tools with assembly process,operation Testing,operational Assistance of various elementstransfer of technology through training.
Digitalisasi Pelaporan Realisasi Penggunaan Anggaran Penanggulangan Kemiskinan Kota Palembang faradillah; Fadhiel Alie, Muhammad; Rahmanda Putra, Rian
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13221625

Abstract

Poverty reduction is indeed a big task for countries around the world, including Indonesia. Poverty reduction programmes are often vulnerable to abuse due to various factors, such as a lack of transparency, accountability, and effective supervision. This research digitises reporting on the realisation of the use of the poverty reduction budget based on the web through the application of a geographic information system that shows maps of aid recipients, welfare conditions, and absorption of funds in poverty reduction programmes and activities in Palembang City through the development of a comprehensive Poverty Data Information System (SIDAK) using software. Development life cycle in system development methods. This SIDAK development uses DTKS (Integrated Social Welfare Data), which was previously called the Integrated Data Base (BDT), submission of budget and poverty reduction programme data from all OPDs in Palembang City as a data source in accordance with the nomenclature of programmes, activities, and sub-activities in this part of the design, referring to Minister of Home Affairs Regulation No. 90 of 2019.
Rancang Bangun Pemilah Produk Makanan Otomatis Berdasarkan Komposisi Gula Berbasis Optical Character Recognition (OCR): Design and Development of an Automatic Food Product Sorter Based on Sugar Composition Using Optical Character Recognition (OCR) Syafira, Sari Dewi; Saputra, Herlambang; Rahmanda Putra, Rian
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 5 No. 2 (2025): Indonesian Journal of Informatic Research and Software Engineering (IJIRSE)
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v5i2.2285

Abstract

Banyak konsumen di Indonesia kurang tertarik membaca label gizi pada kemasan makanan, sehingga sulit untuk memilih produk yang sehat sesuai kebutuhan. Mereka cenderung lebih fokus pada merek, tanggal kedaluwarsa, dan tanda "halal". Penelitian ini merancang sistem otomatisasi untuk memilah produk makanan berdasarkan kandungan gula menggunakan Optical Character Recognition (OCR) dan lengan robot. Sistem ini mengintegrasikan webcam untuk mendeteksi label kemasan, ESP32 sebagai mikrokontroler, dan motor servo pada lengan robot untuk memilah produk. Pengujian menunjukkan bahwa sistem OCR dapat mendeteksi dan mengklasifikasikan kandungan gula, sementara lengan robot mampu memilah kemasan makanan ke dalam kelompoknya. Integrasi kedua teknologi ini tidak hanya berhasil memilah produk, tetapi juga menjadi media edukasi yang menarik tentang kandungan gula