cover
Contact Name
Firman Yasa Utama
Contact Email
firmanutama@unesa.ac.id
Phone
+6281330677771
Journal Mail Official
subuhisnur@unesa.ac.id
Editorial Address
Fakultas Teknik Gedung E1 Kampus UNESA Ketintang Surabaya Universitas Negeri Surabaya
Location
Kota surabaya,
Jawa timur
INDONESIA
Indonesian Journal of Engineering and Technology (INAJET)
ISSN : -     EISSN : 26232464     DOI : http://dx.doi.org/10.26740/inajet
Indonesian Journal of Engineering and Technology (INAJET) is a scientific journal that publishes peer-reviewed research papers in the fields of Engineering and Technology, both theoretical, experimental, and application studies, including: Electrical Engineering, Mechanical Engineering, Informatics, Industrial Engineering, Civil Engineering.
Articles 5 Documents
Search results for , issue "Vol. 7 No. 1 (2024): September 2024" : 5 Documents clear
Monitoring and Control System Watering Orchid Plants Based on Weather Data -, Rosih Ihwan; Kartini, Unit
Indonesian Journal of Engineering and Technology (INAJET) Vol. 7 No. 1 (2024): September 2024
Publisher : Fakultas Teknik Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajet.v7n1.p27-35

Abstract

Orchid farming faces challenges in efficient water management, often relying on less accurate visual judgments. This research aims to design a weather data-based orchid watering system, monitored and controlled remotely via smartphone. Using a Research and Development (R&D) methodology, the system's performance was tested through soil moisture and temperature sensors. Sensor data were compared with measuring instrument data for accuracy and evaluated across different planting media: vermicompost, coconut fiber, and charcoal. Results showed the DHT22 sensor's temperature (average 33.87°C) was slightly higher than weather.com data (average 32.6°C). Both sources displayed similar humidity patterns, with higher humidity in the morning and lower in the afternoon. The DHT22 sensor recorded an average humidity of 52.58%, compared to 53.4% from weather.com, with a temperature standard deviation of ±0.59 and humidity of ±0.51, indicating good consistency. The soil moisture sensor closely matched the soil meter, with an average difference of 1.3% and a standard deviation of ±0.59. Orchid leaf growth in the first week increased from 10 cm to 10.2 cm in fertiliser and coconut fiber media and to 10.3 cm in charcoal media. In the second week, growth increased to 10.5 cm across all media. Charcoal media was the most effective in accelerating growth in the first week, making it the best choice among the tested media. Keyword: Monitoring and Control System, Plant Watering, and Orchid Plant Growth.
Design of A Single-Phase Pure Sine Wave Inverter Using Arduino as The Main Controller winata, yeriemiaputra; Suprianto, Bambang
Indonesian Journal of Engineering and Technology (INAJET) Vol. 7 No. 1 (2024): September 2024
Publisher : Fakultas Teknik Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajet.v7n1.p19-26

Abstract

Solar Power Plants (PLTS) have gained popularity in many countries as a clean, cost-effective, and sustainable source of electricity for communities. However, these plants face challenges in converting the electrical current produced by solar panels from direct current (DC) to alternating current (AC), which is widely used by most electrical equipment. In this regard, the role of inverters is crucial. This study aims to design and construct a single-phase pure sine wave inverter using Arduino as the primary controller. The inverter produces a pure sinusoidal output signal with adjustable width using the modulation index and is equipped with a safety system to prevent short circuits between MOSFETs by setting dead time in the Pulse Width Modulation (PWM) signal. The designed inverter output can generate a sinusoidal signal of up to 100 Watts without significant distortion under various loads, with an output voltage of 220VAC ±0.25% and a frequency of 50Hz ±0.10%. While the inverter efficiency reaches 70% across various loads, there is potential to enhance efficiency by incorporating a feedback voltage system and adjusting the carrier frequency. This study has successfully designed and implemented a single-phase inverter that generates a pure sine wave using Arduino as the main controller.  Keyword: Inverter, Pure Sine Wave, Pulse Width Modulation, Arduino
Performance Evaluation of Softened Two-Bit Hard Combination Scheme for Cooperative Spectrum Sensing Abdulhamid, Mohanad
Indonesian Journal of Engineering and Technology (INAJET) Vol. 7 No. 1 (2024): September 2024
Publisher : Fakultas Teknik Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajet.v7n1.p15-18

Abstract

Cooperative spectrum sensing is one of the main approaches to improve the efficiency of spectrum utilization in cognitive radio networks. This study aims to evaluate the performance of a softened hard two-bit combining scheme in cooperative spectrum sensing. This scheme combines the sensing information from multiple secondary users by utilizing a softened two-bit representation to improve the detection accuracy and reduce the error probability. The evaluation is carried out through simulations under various channel conditions, such as AWGN and Rayleigh fading channels, considering factors such as signal-to-noise ratio (SNR) and the number of secondary users. The results show that this scheme is able to significantly improve the detection probability (Pd) compared to the conventional hard combination method, especially under low SNR conditions. In addition, this scheme shows efficiency in reducing communication overhead, making it a promising solution for the implementation of reliable spectrum sensing in cognitive radio networks. This paper measures the performance of cooperative spectrum sensing, over Rayleigh fading channel and additive white Gaussian noise, based on softened two-bit hard combination scheme. Two measures based on energy detection are considered including effect of false alarm probability, and effect of number of users. Simulation results show that the detection probability increases with the increase of false alarm probability, number of users, and signal-to-noise-ratio.   Keyword: Softened two-bit hard combination scheme, Cooperative spectrum sensing, Cognitive radio
Assessing the Impact of Green Building Certifications on Construction Practices in Nigeria: A Systematic Review Unegbu, Hyginus; YAWAS, Danjuma S.
Indonesian Journal of Engineering and Technology (INAJET) Vol. 7 No. 1 (2024): September 2024
Publisher : Fakultas Teknik Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajet.v7n1.p7-14

Abstract

This study analyzes the impact of green building certifications on construction practices in Nigeria, focusing on LEED, EDGE, and BREEAM. Using a systematic review of literature from 2015 to 2023, it evaluates certification adoption, changes in construction practices, and economic and environmental outcomes. Key findings show limited but growing certification adoption driven by international standards and local initiatives. Certified buildings in Nigeria exhibit improvements in energy efficiency, water conservation, and waste reduction, leading to enhanced sustainability and lower operational costs. However, barriers such as high initial costs, a shortage of skilled professionals, and insufficient government policies hinder progress. The study emphasizes the need for stronger governmental support, increased public awareness, and the development of local industries for sustainable materials. Future research should explore the long-term economic benefits of green buildings, barriers to adoption, and comparative studies with other developing nations. This research provides insights for policymakers, developers, and stakeholders to promote green building practices in Nigeria, aligning with global sustainability goals.
Traffic Sign Recognition Using Detector-Based Deep Learning Method Mulyono, Alfito; Ervin Yohannes
Indonesian Journal of Engineering and Technology (INAJET) Vol. 7 No. 1 (2024): September 2024
Publisher : Fakultas Teknik Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajet.v7n1.p1-6

Abstract

Traffic is a key element in the transportation system. Traffic is an integral part of urban life and a key element in the transportation system. Traffic safety is a major concern to prevent accidents and ensure safe mobility. Traffic accidents are one of the most common occurrences. . But on the other hand, the increase in road accidents is increasing, which can be caused by people's lack of knowledge about traffic. The main solution to overcome this problem is to increase knowledge about traffic. The application of artificial intelligence, especially object detection methods with the use of detector-based deep learning methods, is one method that has proven efficient in detecting objects in real-time. In this research, object recognition is performed using SSD (Single Shot MultiBox Detector) where the model is trained and tested for its performance in detecting traffic signs in Indonesia. From the research results, the mAP 50 and mAP 50-95 values are 89.66% and 65.49%, respectively.  Keyword: Deep Learning, SSD, Traffic Signs.

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