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All Journal INSANtek – Jurnal Inovasi dan Sains Teknik Elektro Jurnal Multidisiplin Sahombu Journal of Technology Informatics and Engineering Multifinance
Mufid, Zainul
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Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice

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ELECTRICAL INSTALLATION AND POWER SAVING HOUSEHOLD Mufid, Zainul; Musafa, Musafa
Multifinance Vol. 2 No. 1 (2024): Multifinance
Publisher : PT. Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/mfc.v2i1.170

Abstract

This research aims to analyze compliance with the implementation of POJK 51 of 2017 This study aims to analyze the practices of electrical installation and energy-saving strategies in households. The research method used is a literature review involving the analysis of various literature sources and related research. The study found that improper electrical installation practices can increase the risk of fire and electrical disturbances. The use of energy-efficient labeled electrical appliances and smart home technology has been proven effective in reducing energy consumption in households. Factors such as public awareness of the importance of energy efficiency and the availability of information on energy-saving technologies also influence consumer behavior in choosing electrical appliances and managing energy use in households. Understanding these findings is expected to produce useful recommendations for researchers and practitioners in efforts to improve energy efficiency and electrical installation safety in households.
Design Framework of Expert System Program in Otolaryngology Disease Diagnosis use Extreme Programming (XP)Method(Case Study in THB Bekasi Hospital) melyani, Melyani; Prasetyo, Trisna Fajar; Rahadjeng, Indra Riyana; Mufid, Zainul; Rafik, Ahmad; Shaura, Rizkiana Karmelia; Daniel, Daniel; Emita, Isyana
Journal of Technology Informatics and Engineering Vol. 3 No. 3 (2024): December (Special Issue: Big Data Analytics) | JTIE: Journal of Technology Info
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i3.209

Abstract

The prevalence of Ear, Nose, and Throat (ENT) diseases presents diagnostic challenges, especially in resource-limited settings. At THB Bekasi Hospital, constrained specialist availability and long consultation queues highlight the need for an accessible diagnostic solution. This study aims to develop an expert system for diagnosing ENT diseases using the Extreme Programming (XP) methodology, incorporating the forward chaining technique for inference. The research includes assessment, knowledge acquisition through expert consultations, system design, and rigorous testing. The system was developed as a mobile application using Android Studio, enabling users to input symptoms and receive real-time diagnostic insights. The knowledge base integrates data from medical experts, synthesizing 11 diseases and 35 symptoms into a robust decision-making framework. The diagnostic process applies predefined rules to ensure accuracy in identifying conditions such as sinusitis, laryngitis, and otitis. Evaluation results demonstrate a 100% match accuracy during testing with 15 test cases, confirming the system’s reliability. The application offers users rapid diagnostic assistance, promoting timely treatment for ENT issues, although it does not substitute medical professionals. By leveraging ubiquitous smartphone access, this system addresses gaps in healthcare accessibility and enhances patient autonomy. This research contributes a scalable framework for deploying expert systems in other medical domains. Future improvements include integrating geolocation services for nearby specialist referrals and adopting backward chaining for more complex diagnoses, thereby broadening its applicability and utility
Pengaruh Suhu, Kelembapan dan Angin terhadap Polusi Udara: Studi Kasus Dataset Air Quality Prasetyo, Trisna Fajar; Gani, Ahmad; Mufid, Zainul
INSANtek Vol. 6 No. 1 (2025): Mei 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/insantek.v6i1.8826

Abstract

Salah satu indikator utama kesehatan lingkungan adalah kualitas udara, karena faktor cuaca seperti suhu, kelembapan, tekanan udara, dan kecepatan angin sangat memengaruhi polusi udara. Dengan menggunakan dataset Kualitas Udara Unique Client Indentifier (UCI), yang mengandung parameter lingkungan dari wilayah perkotaan, tujuan penelitian ini adalah untuk melihat bagaimana variabel cuaca dan kualitas udara berkorelasi satu sama lain. Penelitian ini melihat dampak parameter cuaca seperti suhu, kelembapan relatif, tekanan atmosfer, dan kecepatan angin terhadap konsentrasi polutan seperti Carbon Monoxide (CO), Nitrogen Dioxide (NO2), dan Ozon (O3). Data set dibersihkan untuk menghilangkan nilai yang hilang, dan kemudian dilakukan analisis regresi linier sederhana dan korelasi Pearson. Hasil penelitian menunjukkan hubungan positif antara kelembapan dan NO2, dan korelasi negatif yang signifikan antara suhu dan konsentrasi CO. Studi ini menunjukkan bahwa cuaca memainkan peran penting dalam perubahan kualitas udara, sehingga bisa dikatakan bahwa pemantauan cuaca dapat menjadi alat prediktor untuk pengaturan lingkungan perkotaan di masa yang akan datang. 
Design and Development of an IoT-Based Monitoring System for Ammonia Gas, Temperature, and Humidity in Poultry Houses with Automatic Control via Blynk Hutasoit, Anggiat; Laksmiati, Dewi; Mufid, Zainul
Jurnal Multidisiplin Sahombu Vol. 5 No. 08 (2025): Jurnal Multidisiplin Sahombu, December (2025)
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Clean air is crucial in poultry farming as it significantly affects the health and productivity of chickens, as well as the surrounding environment. One of the serious issues often encountered is the odor originating from waste or leftover feed, which produces ammonia gas (NH₃). If not properly managed, this gas can cause stress or even death in chickens and pollute the environment. In response to this problem, this study aims to design an Internet of Things (IoT)-based monitoring system for ammonia gas, temperature, and humidity in chicken coops, featuring automatic control through Blynk in real-time. The system uses an MQ135 sensor to detect ammonia gas and a DHT22 sensor to measure temperature and humidity. Sensor data is periodically transmitted through Blynk for remote monitoring. If ammonia levels exceed the safe threshold (>20 ppm), the system automatically activates an indicator LED, an exhaust fan for air circulation, a pump to spray an ammonia-neutralizing liquid, and a servo to dispose of chicken waste. This system also allows users to manually activate the devices via virtual buttons on Blynk and sends real-time notifications on Blynk when ammonia levels rise or when devices are activated. The test results show that the system effectively monitors coop air conditions and performs actions based on needs. It is expected that this system will enable farmers to more optimally control air quality in chicken coops, thereby improving the health of both chickens and farmers, and achieving better farming efficiency.
Co-Authors Daniel Daniel Dewi Laksmiati Gani, Ahmad Hutasoit, Anggiat Indra Riyana Rahadjeng Isyana Emita Melyani Melyani, Melyani Musafa Musafa Rafik, Ahmad Rizkiana Karmelia Shaura Trisna Fajar Prasetyo