RANCANG BANGUN RUANG PERTUMBUHAN JAMUR TIRAM BERBASIS INTERNET OF THINGS (IoT) DENGAN KONTROL SUHU, KELEMBAPAN DAN INTENSITAS PENERANGAN

ALIF FADHLUR RAHMAN, . (2026) RANCANG BANGUN RUANG PERTUMBUHAN JAMUR TIRAM BERBASIS INTERNET OF THINGS (IoT) DENGAN KONTROL SUHU, KELEMBAPAN DAN INTENSITAS PENERANGAN. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

	Text COVER.pdf Download (1MB)
	Text BAB I.pdf Download (538kB)
	Text BAB II.pdf Restricted to Registered users only Download (776kB) | Request a copy
	Text BAB III.pdf Restricted to Registered users only Download (845kB) | Request a copy
	Text BAB IV.pdf Restricted to Registered users only Download (1MB) | Request a copy
	Text BAB V.pdf Restricted to Registered users only Download (217kB) | Request a copy
	Text Daftar pustaka.pdf Download (288kB)
	Text Lampiran.pdf Restricted to Registered users only Download (1MB) | Request a copy

Abstract

Budidaya jamur tiram (Pleurotus ostreatus) pada fase fruiting body memerlukan stabilitas iklim mikro. Metode konvensional umumnya masih mengandalkan pengelolaan manual yang bertumpu pada perkiraan pembudidaya semata. Penelitian ini bertujuan merancang, membangun, dan menguji prototipe sistem pemantauan serta kontrol otomatis berbasis Internet of Things (IoT) guna menjaga parameter iklim mikro ruang tumbuh jamur. Metode pengembangan yang diterapkan yaitu Research and Development (R&D) menggunakan pendekatan Model V. Pusat kendali berbasis mikrokontroler ESP32 menjalankan tiga fungsi utama, yaitu sistem penerangan terjadwal berbasis nilai Pulse Width Modulation (PWM) tetap dengan pemantauan sensor BH1750 (300–400 lux), sistem sirkulasi terjadwal berbasis acuan waktu Network Time Protocol (NTP), serta pengendalian suhu dan kelembapan berbasis kendali histeresis menggunakan feedback sensor DHT22. Kalibrasi sensor menghasilkan nilai error rata-rata sebesar 0,66% untuk suhu, 1,52% untuk kelembapan, dan 3,13% untuk intensitas penerangan. Hasil pengujian operasi secara kontinu selama 24 jam (22 data pengamatan valid) menunjukkan suhu rata-rata siang sebesar 23,21 °C dengan simpangan baku 0,84 °C (time in target 84,62%), suhu rata-rata malam sebesar 22,1 °C (time in target 44,44%), kelembapan harian rata-rata sebesar 83,89 %RH dengan simpangan baku 3,25 %RH (time in target 81,81%), dan intensitas penerangan siang sebesar 348,54 lux dengan simpangan baku 5,04 lux (time in target 100,00%). Pengiriman laporan nirkabel via Telegram Bot API mencapai tingkat keberhasilan sebesar 91,67% (22 dari 24 laporan). Pengamatan kualitatif deskriptif pada fase fruiting body menunjukkan perkembangan fisik yang baik pada sampel terkontrol, ditandai dengan miselium tebal, kemunculan primordia pada hari ke-14, dan panen dengan bobot basah 110 gram. Rancang bangun prototipe berfungsi sesuai rancangan pada pengujian skala laboratorium dan dapat dijadikan rujukan awal untuk pengembangan skala yang lebih besar. ***** Cultivation of oyster mushrooms (Pleurotus ostreatus) during the fruiting body phase requires microclimate stability. Conventional methods generally rely on manual management based solely on farmers' estimations. This study aims to design, construct, and evaluate an Internet of Things (IoT)-based automatic monitoring and control prototype system to maintain the microclimate parameters of the mushroom growing chamber. The Research and Development (R&D) method using the V-Model approach was applied. The central control unit based on the ESP32 microcontroller executes three main functions: a scheduled lighting system using fixed Pulse Width Modulation (PWM) duty cycle monitored by a BH1750 sensor (300–400 lux), a scheduled circulation system based on Network Time Protocol (NTP) time reference, and temperature and humidity control using hysteresis logic with DHT22 sensor feedback. Sensor calibration resulted in average errors of 0.66% for temperature, 1.52% for humidity, and 3.13% for light intensity. Continuous operation test results for 24 hours (22 valid data logs) showed an average daytime temperature of 23.21 °C with a standard deviation of 0.84 °C (time in target 84.62%), an average nighttime temperature of 22.05 °C (time in target 44.44%), an average daily relative humidity of 83.89 %RH with a standard deviation of 3.25 %RH (time in target 81.81%), and daytime light intensity of 348.54 lux with a standard deviation of 5.04 lux (time in target 100.00%). Wireless report delivery via Telegram Bot API achieved a success rate of 91.67% (22 out of 24 reports). Qualitative descriptive observation of the fruiting body phase indicated good physical development in the controlled sample, characterized by thick mycelium, primordia emergence on day 14, and harvest with a total fresh weight of 110 grams. The prototype system functioned as designed under laboratory-scale testing and can serve as a baseline reference for larger-scale developments.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Prof. Dr. Efri Sandi, M.T. ; 2). Dr. Arum Setyowati, S.Pd., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Alif Fadhlur Rahman .
Date Deposited:	13 Aug 2026 02:50
Last Modified:	13 Aug 2026 02:50
URI:	http://repository.unj.ac.id/id/eprint/70177

Actions (login required)

View Item