Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Ulil Albab

Rancang Bangun Wireless Sensor Network sebagai Sistem Monitoring Kadar Gas Amonia pada Perternakan Ayam Berbasis Lora Agus Wahyu Widodo; Bagus Fatkhurrozi; Yosephine Laura Raynardia Esti Nugrahini
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 2 No. 2: Januari 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v2i2.1233

Abstract

Permasalahan yang sering disepelekan peternak yaitu kualitas udara di lingkungan ternak. Hal tersebut berdampak pada kualitas kesehatan ternak sehingga mempengaruhi produktifitas hasil ternak. Gas yang berperan dalam masalah tersebut adalah gas ammonia (NH3) yang merupakan senyawa kimia sebagai salah satu indikator pencemaran udara pada bentuk kebauan di lingkungan perternakan. Perlu adanya pengamatan berkaitan dengan gas amonia yang diproduksi pada ternak untuk menentukan tindakan selanjutnya dengan tepat. Tujuan dari penelitian ini adalah merancang sistem wireless sensor network sebagai monitoring gas amonia. Pengujian eror sensor MQ 137 pada rentang PPM mulai dari 4-91.3 mendapatkan nilai eror teruji terbanyak sebesar 37%. LoRa SX1278 mengalami packet loss sebesar 40% pada jarak lebih dari 111m dalam kondisi NLOS dengan nilai RSSI -112. Sistem monitoring berkerja dengan baik dalam pengujian pengambilan data selama 2 hari mampu menyimpan data pengukuran amonia, suhu dan RSSI maupun menampilkannya dalam web server raspberry pi secara lokal.
Peramalan Beban Listrik Kabupaten Cilacap Aruna, Evan Dhia; Fatkhurrozi, Bagus; Kurniawan, Andriyatna Agung
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 3 No. 2: Januari 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v3i2.2813

Abstract

This study examines electricity load, emphasizing the need for accurate prediction and optimal distribution. Utilizing artificial neural networks and the backpropagation algorithm, the research leverages data from BPS Kabupaten Cilacap and PT. PLN (Persero) UP3 Kabupaten Cilacap. Various configurations for hidden layer neurons, epochs, and learning rates are explored to determine the optimal network architecture for forecasting. The selected model, with specific criteria, demonstrates high accuracy during training (MSE: 0.00099999, MAPE: 5.44%, Regression: 0.98226) and testing (MSE: 0.0009493, MAPE: 3.99%, Regression: 0.90709) phases. The conclusion affirms the effectiveness of the Backpropagation ANN method in predicting electricity load in Kabupaten Cilacap for the period 2023-2030, meeting PLN's tolerance of ≤ 10% based on the MAPE criteria.
Sistem Monitoring Jarak Jauh Pada Peternakan Kandang Ayam Petelur Terintegrasi Telegram Wicaksono, Mahasadaru; Fatkhurrozi, Bagus; Setiawan, Hery Teguh
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 3 No. 2: Januari 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v3i2.2859

Abstract

If the ammonia gas level exceeds the threshold of 25 PPM, it affects the mucous membranes of the eyes, respiratory tract, propagation of disease agents, immune system, and the reproductive system of livestock. The solution involves monitoring the level of ammonia gas on layer chicken farms to minimize air pollution, ensuring the undisturbed growth of layer chickens. This research employs IoT to monitor the level of ammonia gas on layer chicken farms without distance limitations. The MQ-137 ammonia sensor can read values ranging from 8-50 PPM. The largest error value is 10%, with an average error of 4%. The system is considered successful when the sensor consistently provides accurate readings. When applied to chicken farm enclosures, the highest ammonia value obtained is 5.95 PPM. Notifications work effectively in case of ammonia levels exceeding or falling below the threshold, and during rainy or dry conditions. The system sends notifications three times with a one-minute delay. Upon receiving notifications, a button appears to request turning on or off the fan. The device can send notifications and control the fan regardless of distance, as long as the device and Telegram are connected to the internet.
Perencanaan Sistem Fire Alarm Semi-Addressable dan Sprinkler pada Bangunan Gedung Fakultas Teknik 3 Universitas Tidar Vincent Cleo D.A. P; Bagus Fatkhurrozi; Sapto Nisworo
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 3 No. 2: Januari 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v3i2.2869

Abstract

The impact of fire, from property damage to life threats, is devastating. The fire department is generally notified immediately, but delays often occur due to distance. Engineering Faculty Building 3 is not yet equipped with an automatic extinguishing system. An automatic warning and shutdown system is required. Planning completes the FT3 fire protection system, analyzing building characteristics and identifying potential hazards. Analysis according to NFPA standards ensures reliability and safety. The results show FT3 has a Low Fire Hazard Potential, with the danger concentrated in areas of combustible materials that produce little heat, and the fire spreads slowly. System calculation: 67 smoke detectors, 222 sprinklers, water volume 416.35 m3, water tank 500 m3. Pump power includes HHP 35.2 kW, BHP 46.9 kW, P 60 kW, and PpD 27 HP. The budget for developing an automated system at FT3 is around IDR 1,232,640,194.