Dike Bayu Magfira, Firman Yudianto, Tri Deviasari Wulan, Teguh Herlambang, Rizqi Putri Nourma Budiarti, Anas Tifa Rahma Siswanti

Perancangan IoT Sederhana Untuk Sistem Pendeteksi Kemurnian Kopi Bubuk

Introduction

Perancangan iot sederhana untuk sistem pendeteksi kemurnian kopi bubuk. Deteksi kemurnian kopi bubuk akurat dengan sistem IoT inovatif. Manfaatkan sensor canggih, kirim data ke cloud, tingkatkan efisiensi, akurasi, dan kualitas kopi Indonesia.

Abstract

Kopi adalah salah satu komoditas ekspor utama Indonesia yang memiliki nilai ekonomi tinggi. Kemurnian kopi bubuk sangat penting untuk memastikan kualitas dan rasa yang konsisten. Proses pengujian kemurnian kopi yang dilakukan secara manual seringkali memakan waktu dan rentan terhadap kesalahan manusia. Penelitian ini mengembangkan sistem pendeteksi kemurnian kopi bubuk menggunakan teknologi Internet of Things (IoT). Sistem ini memanfaatkan sensor-sensor canggih yang terhubung ke perangkat IoT untuk mengukur berbagai parameter terkait kemurnian kopi. Data yang dikumpulkan oleh sensor-sensor ini dikirimkan melalui jaringan nirkabel ke platform pengolah data di cloud untuk dianalisis lebih lanjut. Dengan menggunakan teknologi IoT, sistem ini dapat meningkatkan efisiensi dan akurasi dalam menentukan kemurnian kopi bubuk, sehingga dapat mengurangi biaya produksi dan meningkatkan kualitas produk kopi.

Review

This paper addresses a highly relevant issue within Indonesia's significant coffee industry: the critical need for accurate and efficient detection of powdered coffee purity. The abstract effectively highlights the limitations of traditional manual testing methods, citing their time-consuming nature and susceptibility to human error. In response, the authors propose the design of a simple Internet of Things (IoT) system aimed at automating and improving this crucial quality control process, setting a clear and important objective for the research. The core of the proposed solution involves leveraging "advanced sensors" connected to IoT devices to measure various parameters indicative of coffee purity. These collected data points are then wirelessly transmitted to a cloud-based platform for further analysis. This technical approach directly tackles the stated problems of inefficiency and inaccuracy associated with current manual methods, promising a more streamlined and reliable process for assessing coffee quality through modern technological integration. The emphasis on a "simple IoT" design suggests an accessible and potentially scalable solution. The potential impact of this research is significant, with the abstract projecting benefits such as reduced production costs and enhanced coffee product quality. While the abstract provides a compelling overview, a full paper would greatly benefit from elaborating on the specific types of "advanced sensors" utilized, the detailed methodology for parameter measurement and data analysis, and empirical validation results demonstrating the system's efficiency and accuracy compared to existing techniques. This work represents a promising step towards modernizing quality control in the coffee industry through smart technology.

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