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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Martabe : Jurnal Pengabdian Kepada Masyarakat Kumawula: Jurnal Pengabdian Kepada Masyarakat Buletin Ilmiah Sarjana Teknik Elektro International Journal of Robotics and Control Systems Control Systems and Optimization Letters
Fathurrahman, Haris Imam Karim
Universitas Ahmad Dahlan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences

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Journal : control systems and optimization letters

 1 
Pattern Analysis on Multi-Sensor Networks: Short-Term Forecasting at Parangtritis Coastal, Yogyakarta, Indonesia Haris Imam Karim Fathurrahman; Choirul Fajri; Chin Li-Yi; Khoirudin Wisnu Mahendra
Control Systems and Optimization Letters Vol 4, No 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i2.333

Abstract

Reliable microclimatic records are a prerequisite for evidence-based agricultural planning, yet high-resolution ground-truth datasets for tropical coastal environments remain scarce in the Indonesian literature. This study analyzes six months (December 2025 – May 2026) of 10-minute interval observations across 18 meteorological variables from the Parangtritis Automated Weather Station (AWS), Bantul Regency, Yogyakarta, Indonesia. Rainfall was reconstructed via a differential method from the cumulative station counter, yielding a period total of 1748.4 mm over 180 days. Of these, 112 days (66.1%) recorded measurable precipitation, punctuated by seven dry-spell episodes; the longest extended 12 consecutive days (5–16 May 2026). Schmidt-Ferguson classification returned Q = 20%, placing the site in Climate Type B (Wet/Basah). Reference evapotranspiration (ET₀, Hargreaves–Samani) averaged 10.20 mm/day (total: 1796.0 mm), and a PDSI proxy indicated extreme drought conditions by the close of the observation period (PDSI = −7.45), a deficit attributable primarily to persistently high ET₀ demand rather than rainfall deficiency per se. Cross-correlation analysis identified relative humidity as the dominant concurrent temperature predictor (lag 0; r = −0.676). An XGBoost model achieved short-term temperature forecasting accuracy of MAE = 0.56°C and RMSE = 0.71°C (R² = −1.419, reflecting the site's narrow diurnal thermal variance rather than model failure). Prophet projected sharply reduced rainfall for June–August 2026 (0.25–4.77 mm), which the generic staple-crop suitability framework scores as Not Recommended, reflecting unsuitability for rainfed rice, yet these drier conditions are agronomically favourable for shallot in coastal Yogyakarta.
Cross-Coupled PID Control for Dual DC Motors: Simulation and Experimental Evaluation under Dynamic Loads Riky Dwi Puriyanto; Haris Imam Karim Fathurrahman; Efa Wakhidatus Solikhah
Control Systems and Optimization Letters Vol 4, No 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i2.339

Abstract

Synchronization control of multiple DC motors is essential in various industrial applications, including dual-drive systems, gantry mechanisms, and autonomous mobile platforms, where synchronization errors may degrade positioning accuracy and mechanical reliability. Conventional independent PID controllers are unable to compensate for asymmetric disturbances occurring between motors, resulting in synchronization deviations under varying load conditions. This study proposes a Cross-Coupled Control Proportional–Integral–Derivative (CCC-PID) controller integrated with a Kalman Filter to improve synchronization accuracy and disturbance rejection in a dual DC motor system. First, mathematical models of two DC motors were identified using the MATLAB System Identification Toolbox, yielding second-order transfer functions with Best Fit accuracies of 93.11% and 92.78%, respectively. The identified models were employed for controller design and simulation, followed by real-time implementation on a hardware platform. Controller performance was evaluated using the maximum synchronization error (|ε|_max), synchronization recovery time (t_sync), Integral of Time-weighted Absolute Synchronization Error (ITASE), and Tracking-to-Synchronization Ratio (ρ_sync). Simulation results demonstrate that increasing the cross-coupling gain significantly enhances synchronization performance, reducing |ε|_max from 14.44 RPM to 0.34 RPM and ITASE from 7.81 to 0.11. Under dynamic load disturbances, the proposed CCC-PID reduced the maximum synchronization error by 49.8%, decreased ITASE by 86.6%, and shortened the synchronization recovery time from 0.90 s to 0.06 s compared with the conventional PID controller. Experimental validation further confirmed reliable synchronization under static loads of 100–400 g and dynamic loading conditions, while the Kalman Filter effectively suppressed encoder measurement noise, producing smoother RPM feedback and more stable control actions. These results demonstrate that the proposed CCC-PID with Kalman Filter provides accurate synchronization, fast disturbance recovery, and robust operation, making it a practical solution for high-performance dual DC motor synchronization systems.
Co-Authors Alfian Ma’arif Azhari, Ahmad Beni Purnomo Beni Suhendra Winarso Chin Li-Yi Chin Li-Yi Choirul Fajri Efa Wakhidatus Solikhah Gralo Yopa Rahmat Pratama Isro Dwian Yunandha Khoirudin Wisnu Mahendra Li-yi Chin Li-Yi Chin Prasetya Murdaka Putra Puriyanto, Riky Dwi Subrata, Arsyad Cahya Suko Ferbriyanto Tole Sutikno