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All Journal AKSIOMA Delta: Jurnal Ilmiah Pendidikan Matematika Quantum Teknika International Journal of Research in Vocational Studies (IJRVOCAS)
Dita Anies Munawwaroh
Politeknik Negeri Semarang
Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Kendali LQR pada sistem transmisi data dengan sumber jaringan jamak Dita Anies Munawwaroh
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika Vol 12, No 3 (2021): AKSIOMA: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/aks.v12i3.10412

Abstract

In this study, we discussed about controlling data transmission system with multi-source networks. The control technique used in this research is quadratic linear regulator with discrete time. Quadratic linear regulator is optimal control with objective function in the quadratic form and has linear constraint. The control technique is used to optimize data transmission rate. Assumed, the data will be received  100 %, although the data transmission process has delayed time. From the stability analysis and the properties, the rule of control will make it optimum and asymptotic stable.
IMPLEMENTASI CRISP-DM MODEL MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA CART UNTUK PREDIKSI LILA IBU HAMIL BERPOTENSI GIZI KURANG Dita Anies Munawwaroh; Arum Handini Primandari
Delta: Jurnal Ilmiah Pendidikan Matematika Vol 10, No 2 (2022): Delta : Jurnal Ilmiah Pendidikan Matematika
Publisher : Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/delta.v10i2.2172

Abstract

LILA is measured in pregnant women to monitor nutritional levels during pregnancy. The classifications in the LILA's measurement are the good nutrition category if the LILA measurement is more or equal to 23.5 cm and the undernutrition category if the LILA measurement is less than 23.5 cm. This study aims to classify LILA based on age, height, weight, blood pressure, hemoglobin level, blood sugar, gestational age, and hip circumference by employing the CRISP-DM methodology. The data used is from May till June 2022 at the Sumber Health Center, Sumber District, Rembang Regency. The decision tree method (decision tree) with the CART algorithm is worked to classify LILA in either the good or poor category. The data is divided into training and testing data by a ratio of 80%:20%. The decision tree method can classify all training data correctly. While evaluating the method with data testing produces values of accuracy, precision, recall, and f1-score, respectively, are 90%, 96%, 92%, and 94%.
Regression Quadratic Method untuk Menganalisis Hubungan Sudut Kemiringan terhadap Radiasi dan Energi Panel Surya Friska Ayu Fitrianti Sugiono; Dita Anies Munawwaroh; Ferriawan Yudhanto
Quantum Teknika : Jurnal Teknik Mesin Terapan Vol 4, No 2 (2023): April
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jqt.v4i2.16992

Abstract

The potential of rooftop solar power plants at Semarang State Polytechnic Mechanical Engineering Workshop has been researched. This study discusses one of the factors that affect the radiation received and energy sent to the grid, namely the angle of inclination in the solar panels The average radiation data received by solar panels with variations in tilt angle between 0 to 30° and azimuth angles at 0° facing north and 180° facing south are simulated using Helioscope software. Based on the results of mathematical calculations, it is estimated that the relationship between the tilt angle of the solar panel and the radiation received and the energy sent to the grid will form a quadratic curve. From the results of data processing with the Regression Quadratic Method, it was obtained that the data match was 99.6%. The results of calculations using the quadratic equation show that the angle of inclination of the solar panels for installation of a rooftop PLTS in Machine Workshop Polines is 11° with a radiation of 1775.6 kWh/m2 and a energy production of 13575.9kWh.
Array Antenna for IoT and Satellite Network Integration in Real-Time Disaster Prevention Monitoring Dita Anies Munawwaroh; Yusuf Dewantoro Herlambang; Irfan Mujahidin; Roni Apriantoro
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 6 No. 2 (2026): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v6i2.535

Abstract

Natural disasters pose significant risks to human life, infrastructure, and environmental sustainability, particularly in geographically isolated regions where communication infrastructure is limited or unavailable. The lack of reliable connectivity in such areas often delays disaster detection, information dissemination, and emergency response. This study proposes the development of a multi-access array antenna system designed to support the integration of Internet of Things (IoT) sensing networks and satellite communication for real-time disaster prevention monitoring. The proposed system aims to provide a robust communication framework capable of transmitting environmental monitoring data from remote sensor nodes to centralized monitoring platforms through satellite-based connectivity. The research focuses on the design, fabrication, and evaluation of a microstrip-based array antenna operating in the 2.4 GHz band, optimized to achieve high gain, improved directivity, and stable signal propagation suitable for hybrid IoT–satellite communication environments. The antenna array is designed using electromagnetic simulation tools to analyze key performance parameters, including return loss, voltage standing wave ratio (VSWR), radiation pattern, and antenna gain. The fabricated prototype is integrated with an AIoT-based monitoring platform that collects environmental data from multiple disaster-related sensors, such as rainfall sensors, anemometers for storm detection, soil moisture sensors for landslide monitoring, and ultrasonic sensors for flood detection. The data are transmitted through a satellite-enabled network infrastructure, allowing continuous monitoring even in areas lacking terrestrial communication networks. Experimental evaluation demonstrates that the proposed antenna array significantly enhances communication reliability and coverage compared to conventional single-element antennas, enabling stable data transmission in remote environments. The integration of multi-access antenna technology with AIoT and satellite networks offers an effective solution for real-time environmental monitoring and early disaster warning systems. This research contributes to the advancement of adaptive antenna technology and hybrid communication systems, providing a scalable framework for disaster mitigation infrastructure in geographically isolated regions.
Co-Authors Ferriawan Yudhanto Friska Ayu Fitrianti Sugiono Irfan Mujahidin Primandari, Arum Handini Roni Apriantoro Yusuf Dewantoro Herlambang