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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi INOVTEK Polbeng - Seri Informatika
Putri Aisyiyah Rakhma Devi
Muhammadiyah Gresik University
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience Transportation

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Segmentasi Pada Citra Warna Pupuk Phonska Berbasis Nilai RGB Menggunakan MATLAB Di PT. Petrokimia Gresik Syahrul Ramadhan; Putri Aisyiyah Rakhma Devi
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 2 (2024): April 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i2.7508

Abstract

Abstrak— Pupuk Phonska merupakan pupuk subsidi majemuk yang memiliki kadungan Nitrogen 15%, Phospat 10%, Kalium 12% di produksi untuk menunjang kelangsungan sektor pertanian di Indonesia. Analisa yang di uji pada pupuk phonska diantaranya : Kadar Nitrogen, Fosfat, Kalium, Air, Ukuran butiran, dan Warna. Pada pupuk phonska memiliki karakteristik warna yang tersendiri yaitu merah muda kecoklatan. Pengolahan citra digital merupakan proses mengolah citra pada dua dimensi yang bertujuan menghasilkan keluaran yang bisa berbentuk nilai maupun citra. Pengolahan citra bisa mengolah beberapa elemen diantaranya : Warna, Bentuk, Kontras, Kecerahan, Tekstur. Paada penelitian ini menggunakan aplikasi matlab dengan melakukan ekstraksi ciri warna RGB yang nantinya dikonversi ke nilai RGB tersebut.Kata kunci: Pupuk Phonka, Pengolahan Citra Digital, RGB. Abstract — Phonska fertilizer is a compound subsidized fertilizer that contains 15% Nitrogen, 10% Phosphate, 12% Potassium and is produced to support the continuity of the agricultural sector in Indonesia. The analyzes tested on Phonska fertilizer include: Nitrogen, Phosphate, Potassium, Water, Granule Size and Color. Phonska fertilizer has its own characteristic color, namely brownish pink. Digital image processing is a process of processing images in two dimensions with the aim of producing output which can be in the form of values or images. Image processing can process several elements including: Color, Shape, Contrast, Brightness, Texture. In this research, the Matlab application was used to extract RGB color characteristics which were later converted to RGB valuesKeywords: Phonka Fertilizer, Digital Image Processing, RGB
Development of an Android-Based Educational Game for Early Childhood Mathematics Learning Using Fisher–Yates Shuffle Egi Bahari Dwi Fraska; Umi Chotijah; Putri Aisyiyah Rakhma Devi
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 2 (2026): May
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/1en46441

Abstract

This study aims to develop an Android-based educational game to support early childhood mathematics learning through an interactive approach. The game implements the Fisher–Yates shuffle algorithm to randomize question sequences and object positions, with the goal of reducing repetition and increasing gameplay variation. The development process follows the Software Development Life Cycle (SDLC), including requirements analysis, planning, design, development, and testing. System evaluation is conducted using black-box and white-box testing to assess functionality and algorithm implementation. The results show that all system features operate as expected, achieving a 100% success rate with no identified errors. In addition, the Fisher–Yates shuffle algorithm produces unique random sequences across all trials, indicating consistent randomization performance. These findings demonstrate that the developed application functions reliably and has potential as a supporting tool for early childhood mathematics learning.
Co-Authors Egi Bahari Dwi Fraska Syahrul Ramadhan Umi Chotijah