SISTEM INVENTARIS STOK TABUNG GAS MENGGUNAKAN TEKNOLOGI OPEN CV BERBASIS IOT DI PT. CARAKA CIPTA PRIMA

BAYU AJI MUNAJAD, . (2026) SISTEM INVENTARIS STOK TABUNG GAS MENGGUNAKAN TEKNOLOGI OPEN CV BERBASIS IOT DI PT. CARAKA CIPTA PRIMA. Diploma thesis, Universitas Negeri Jakarta.

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Abstract

Pengelolaan inventaris stok tabung gas yang akurat dan real-time merupakan aspek penting dalam mendukung efisiensi operasional perusahaan distribusi energi. PT. Caraka Cipta Prima masih menghadapi permasalahan pencatatan stok tabung gas yang dilakukan secara manual, sehingga berpotensi menimbulkan ketidaksesuaian data, keterlambatan pembaruan informasi, dan kesalahan pelaporan stok. Dari penelitian ini dirancang dan diimplementasikan sistem inventaris stok tabung gas berbasis Internet of Things (IoT) dengan memanfaatkan teknologi computer vision menggunakan OpenCV. Sistem dikembangkan dengan menggunakan kamera sebagai media akuisisi citra untuk mendeteksi dan menghitung jumlah tabung gas secara otomatis, kemudian hasil deteksi dikirimkan ke server dan disimpan pada basis data MySQL untuk ditampilkan melalui dashboard web secara real-time. Metode pengembangan sistem yang digunakan adalah System Development Life Cycle (SDLC) dengan model Waterfall, sedangkan pengujian sistem dilakukan melalui pengujian black-box dan pengujian akurasi. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi jumlah tabung gas dengan tingkat akurasi rata-rata sebesar 94,98% pada berbagai kondisi pengujian, serta mampu memperbarui data inventaris secara otomatis dengan waktu respons rata-rata selama 30 detik dari waktu perhitungan manual sebesar 8-10 menit. Implementasi sistem ini terbukti dapat meningkatkan efisiensi pengelolaan inventaris dan mengurangi kesalahan pencatatan manual secara signifikan. Kata Kunci: Sistem Inventaris, OpenCV, Internet of Things (IoT), Computer Vision, Tabung Gas, Monitoring Real-time ***** Accurate and real-time management of gas cylinder inventory is a crucial aspect in supporting the operational efficiency of energy distribution companies. PT Caraka Cipta Prima still faces challenges in recording gas cylinder stock manually, which can lead to data inconsistencies, delays in information updates, and stock reporting errors. This study designs and implements an Internet of Things (IoT)-based gas cylinder inventory system by utilizing computer vision technology with OpenCV. The system is developed using a camera as a visual data acquisition device to automatically detect and count gas cylinders. The detection results are then transmitted to a server and stored in a MySQL database, which are subsequently displayed through a web-based dashboard in real time. The system development follows the System Development Life Cycle (SDLC) using the Waterfall model, while system testing is conducted through black-box testing and accuracy evaluation. The test results indicate that the system is capable of detecting the number of gas cylinders with an average accuracy of 94.98% under various testing conditions, and it can automatically update inventory data with an average response time of 30 seconds, compared to 8–10 minutes required for manual counting. The implementation of this system has been proven to significantly improve inventory management efficiency and reduce manual recording errors. Keywords: Inventory System, OpenCV, Internet of Things (IoT), Computer Vision, Gas Cylinder, Real-Time Monitoring

Item Type:	Thesis (Diploma)
Additional Information:	1). Taryudi, Ph.D. ; 2). Syufrijal, S.T., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > D IV Teknologi Rekayasa Otomasi
Depositing User:	Bayu Aji Munajad .
Date Deposited:	23 Jan 2026 05:00
Last Modified:	23 Jan 2026 05:00
URI:	http://repository.unj.ac.id/id/eprint/63519

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