RANCANG BANGUN ALAT PELARUT PCB SECARA OTOMATIS BERBASIS INTERNET OF THINGS (IoT)

TIMUR VIRGO TAMPUBOLON, . (2026) RANCANG BANGUN ALAT PELARUT PCB SECARA OTOMATIS BERBASIS INTERNET OF THINGS (IoT). Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Proses pelarutan jalur tembaga Printed Circuit Board (PCB) secara manual memerlukan waktu lama, memberikan hasil tidak konsisten, dan berisiko tinggi terhadap keselamatan pengguna akibat paparan uap bahan kimia korosif. Penelitian ini bertujuan untuk menghasilkan prototipe alat pelarut PCB otomatis berbasis Internet of Things (IoT) yang cepat, dan aman. Metode penelitian yang digunakan adalah Research and Development (R&D) menggunakan kerangka kerja V-Model yang meliputi tahap analisis kebutuhan, perancangan sistem, implementasi, hingga pengujian unit, integrasi, sistem, dan penerimaan. Hasil pengujian menunjukkan bahwa integrasi flow sensor dan pompa peristaltik mampu menakar cairan asam klorida dan hidrogen peroksida dengan cukup presisi dengan tingkat error flow sensor sebesar 6.4% dan tingkat error pompa peristaltik sebesar 10%. Selain itu, fitur IoT melalui bot Telegram terbukti dapat memberikan perintah dari jarak jauh dengan rata-rata delay latency ± 2 detik, tanpa mengharuskan pengguna melakukan kontak fisik dengan mesin. Penggoyangan mekanis menggunakan motor DC terbukti mempercepat proses pelarutan untuk berbagai variasi ukuran PCB yang diuji (mulai dari 5x5 cm hingga 10x15 cm), dengan rentang efisiensi waktu 27 hingga 47 detik lebih cepat dibandingkan metode manual. Kesimpulannya, alat pelarut PCB otomatis ini berhasil beroperasi demgan baik, meningkatkan efisiensi waktu, mencetak jalur tembaga over-etching, serta menjamin standar Keselamatan dan Kesehatan Kerja (K3) Lingkungan berkat sistem operasional yang tertutup. ***** The manual etching process of Printed Circuit Board (PCB) copper traces is time-consuming, yields inconsistent results, and poses a high safety risk to users due to exposure to corrosive chemical vapors. This research aims to produce a fast and safe Internet of Things (IoT)-based automatic PCB etching machine prototype. The research method used is Research and Development (R&D) utilizing the V-Model framework, which includes the stages of requirement analysis, system design, implementation, up to unit, integration, system, and acceptance testing. The test results indicate that the integration of a flow sensor and a peristaltic pump can dose hydrochloric acid and hydrogen peroxide with adequate precision, presenting a flow sensor error rate of 6.4% and a peristaltic pump error rate of 10%. Furthermore, the IoT feature via the Telegram bot is proven to be able to provide remote commands with an average delay latency of ± 2 seconds, without requiring the user to make physical contact with the machine. Mechanical agitation using a DC motor is proven to accelerate the etching process for various tested PCB sizes (from 5x5 cm to 10x15 cm), saving between 27 to 47 seconds compared to the manual method. In conclusion, this automatic PCB etching machine operates well, improves time efficiency, produces copper traces without over-etching defects, and guarantees Occupational Health and Safety (OHS) and environmental standards due to its closed operational system.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Prof. Dr. Moch. Sukardjo, M.Pd; 2). Vina Oktaviani, S.Pd., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Timur Virgo Tampubolon .
Date Deposited:	07 Aug 2026 08:08
Last Modified:	07 Aug 2026 08:08
URI:	http://repository.unj.ac.id/id/eprint/69167

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