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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Zero : Jurnal Sains, Matematika, dan Terapan Jurnal Edukasi Pengabdian Masyarakat: EDUABDIMAS
Iza, Belgis Ainatul
Universitas Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Economics, Econometrics & Finance Environmental Science Mathematics Physics

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REVITALISASI PESANTREN DI ERA DIGITAL DALAM MEWUJUDKAN LINGKUNGAN BERSIH DAN TEKNOLOGI TERAPAN UNTUK INOVASI YANG BERDAMPAK DAN BERKELANJUTAN DI PONPES MIFTAHUL HUDA MALANG Firdausi, Rofiqoh; Huda, Moh. Khoridatul; Iza, Belgis Ainatul; Laili, Nurul
Jurnal Edukasi Pengabdian Masyarakat Vol 4 No 4 (2025): OKTOBER 2025
Publisher : FIP UNIRA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36636/eduabdimas.v4i4.8174

Abstract

The revitalization of Islamic boarding schools in the digital era is a strategic initiative to enhance environmental quality and foster the application of applied technology. This community engagement program aims to establish a clean, healthy, and technologically adaptive environment at Miftahul Huda Islamic Boarding School, Malang. Using a participatory approach—consisting of awareness campaigns, training, and continuous mentoring—the program focused on environmental cleanliness, organic waste composting, and the implementation of a digital information system for student administration. The outcomes revealed significant improvements in students’ environmental awareness, successful organic compost production, and the adoption of digital systems to streamline school management. Beyond improving environmental quality, the program equipped students with relevant digital literacy. This sustainable model offers potential replication in other Islamic boarding schools to support impactful innovation.
Uncertainty-Aware Kalman Filtering via Intrusive Polynomial Chaos for Disturbance Estimation Heri Purnawan; Abdur Rohman Wakhid; Qori Afiata Fiddina; Belgis Ainatul Iza; Tri Muhamad Sanusi; Sari Cahyaningtias
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 3 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i3.26488

Abstract

Robust control under parameter uncertainty requires reliable disturbance estimation. This paper proposes an uncertainty-aware method, namely Intrusive Polynomial Chaos-based Kalman Filter (IPC-KF) for systems with probabilistic parameters and measurement noise. The method is evaluated through two numerical case studies and compared with a nominal Kalman filter (KF). Results from 100 realizations, assessed using RMSE and mean variance, show that the IPC-KF achieves estimation accuracy comparable to the nominal KF. For the spring-mass-damper system, the RMSE difference is below , with both methods yielding the same mean variance of . For the F-16 aircraft model, identical RMSE values and a mean variance of are obtained. While IPC-KF captures parameter uncertainty via polynomial chaos, augmenting the state with disturbances does not necessarily improve estimation accuracy. Further studies are needed to assess uncertainty bounds and robustness.
Design of Fuzzy Logic Controller Based on Gustafson-Kessel Clustering for Quadcopter Altitude Control Belgis Ainatul Iza; Heri Purnawan; Moh. Khoridatul Huda; Nurul Laili
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.41543

Abstract

Quadcopter altitude control is a critical issue in unmanned aerial vehicle systems due to its nonlinear dynamics and impact on operating conditions. Various fuzzy logic-based approaches have been used to address these nonlinear characteristics. However, in many previous studies, the rule structure and membership function were determined heuristically or based on expert knowledge, resulting in a less systematic design process that did not fully represent the distribution of system dynamics data.This study proposes a data-driven fuzzy control approach using the Gustafson–Kessel clustering algorithm to automatically generate fuzzy rules from system data. This algorithm is used to identify an ellipsoidal cluster structure in the input space formed by the error variable (e) and the error change (Delta e). The cluster center parameters are used to construct Gaussian membership functions and a rule base for the fuzzy inference system that generates control signals for the quadcopter's vertical dynamics.Evaluation is conducted through quadcopter altitude control simulations using several error metrics. The simulation results show Integral Squared Error value of 0.363789, Integral Absolute Error of 0.554409, Root Mean Square Error of 0.190637, and Mean Absolute Error of 0.055386, with a maximum error of 0.999600 in the beginning of the system response.
Co-Authors Abdur Rohman Wakhid Firdausi, Rofiqoh Heri Purnawan Heri Purnawan Moh Khoridatul Huda, Moh Khoridatul Moh. Khoridatul Huda Nurul Laili Nurul Laili Qori Afiata Fiddina Sari Cahyaningtias Tri Muhamad Sanusi