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All Journal Prosiding KOMMIT Emerging Science Journal Buletin Ilmiah Sarjana Teknik Elektro Journal of Community Empowerment for Health Journal of Soft Computing Exploration
Nia Maharani Raharja
Diploma Teknik Elektro Universitas Gadjah Mada
Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Health Professions Medicine & Pharmacology Nursing Public Health

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MONITORING SISTEM PENGENDALIAN SUHU DAN SALURAN IRIGASI HYDROPONIKPADA GREENHOUSEBERBASISWEB Raharja, Nia Maharani
Prosiding KOMMIT 2012
Publisher : Prosiding KOMMIT

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Abstract

Akhir-akhir ini perkembangan teknologibegitucepat di lapangan. Perkembangan semuabidang salingmendukung.Lapangan yang sangat mendukung kemajuan teknologidanperkembangan mencolok adalah elektronik, terutamapenggunaan elektronik di bidang teknologi industri.Perkembangan mengeser ternyata banyak lahan pertanian, terutama didaerah perkotaan. Sebagai hasil dari lahan pertanian semakin sempit. Di sisi lain permintaan untuk output pertanian meningkat seiring dengan peningkatan populasi. Dengan pertimbangan di atas, kajian ini berupaya untukmenciptakan sebuahsistem yang digunakan untuk pemantauan suhudan kontrol irigasi di Hydroponik rumah kaca dengan PLCyang dapat dipantau dengan menggunakan Web. Hasil penelitian menunjukkan bahwa sistem ini memiliki kemampuan untuk memonitor suhu dan irigasi dan Hydroponik rumah kaca pada PLC bekerja sangat baik
Current trend in control of artificial intelligence for health robotic manipulator Suwarno, Iswanto; Cakan, Abdullah; Raharja, Nia Maharani; Baballe, Muhammad Ahmad; Mahmoud, Magdi S.
Journal of Soft Computing Exploration Vol. 4 No. 1 (2023): March 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v4i1.96

Abstract

The increasing utilization of artificial intelligence and robots in various services in healthcare makes robots as preferred intelligent agent model. Robotic evolution produces the optimal robotic innovation in the robotic system or its subsystems, morphology, kinematics, and control. An intelligent algorithm is programmed into the control of the robotic manipulator. This paper aims to identify the control of artificial intelligence and identify comparisons of artificial intelligence algorithms control for healthcare robotic manipulators. This study uses a systematic literature review using the Preferred Reporting Items for Systematic Review (PRISMA). The potential for further articles is explored related to the theme of the research carried out. The conclusion obtained many studies have been carried out to optimize the work and tasks of the robotic arm manipulator, specifically developing various types of manipulator control (algorithms) combined with neural networks to get the right and appropriate algorithm.
Induction Motor Speed Control Using PID Tuned by Particle Swarm Optimization Under Vector Control Maghfiroh, Hari; Sulistyo, Meiyanto Eko; Ma’arif, Alfian; Raharja, Nia Maharani; Suwarno, Iswanto; Wati, Dwi Ana Ratna; Baballe, Muhammad Ahmad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 2 (2025): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i2.13112

Abstract

Induction motors (IMs) are widely used in industrial applications due to their cost-effectiveness, durability, and low maintenance requirements. This study investigates the speed control of an induction motor using vector control combined with a PID controller whose parameters are tuned via Particle Swarm Optimization (PID-PSO). A reduced-order small-signal state-space model is derived from a detailed nonlinear IM model to facilitate efficient controller tuning while maintaining fidelity to real-world behavior. The PID parameters are optimized using PSO, with the Integral of Absolute Error (IAE) selected as the objective function due to its ability to penalize long-duration deviations and reflect steady-state performance. The optimized PID controller is then validated on the full nonlinear IM model under speed and load variations. Simulation results demonstrate that PID-PSO significantly outperforms manually tuned PID control in terms of tracking accuracy, reducing IAE by 37.79% and 14.76% under speed and load variation conditions, respectively. However, this improvement comes at the cost of slightly slower settling time. These results highlight a trade-off between accuracy and transient response, motivating future research on multi-objective optimization to balance conflicting criteria such as robustness, energy efficiency, and response time.
Academic community perception of smoke-free zone implementation on campus: situation analysis at UIN Sunan Kalijaga Yogyakarta Warsito, Gita Miranda; Fatimah, Siti; Raharja, Nia Maharani; Khusnuryani, Arifah
Journal of Community Empowerment for Health Vol 8, No 3 (2025)
Publisher : Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcoemph.108566

Abstract

The Indonesian government regulates the use of tobacco products by establishing Smoke-Free Zones (SFZs), including through the Sleman Regent Regulation No. 42/2012, which mandates educational institutions to implement SFZ policies. State Islamic University (UIN) Sunan Kalijaga, located in Sleman Regency, Yogyakarta, is expected to comply with this regulation, especially given its Strategic Plan to establish a Health Faculty and its broader commitment to creating a healthy campus. However, smoking remains prevalent on campus. This study aimed to analyze the perceptions, attitudes, and behaviors of the university’s academic community toward the SFZ policy as a basis for policy development. Data were collected from 1,228 respondents, consisting of 1,164 students and 64 staff (including lecturers), using a self-administered questionnaire. The survey was distributed in January 2024 and promoted through official channels and peer networks to increase the response rate. The data were analyzed using a descriptive approach, with results presented in frequencies and percentages. Findings show that, in general, respondents expressed positive support for the adoption of a campus-wide smoke-free or comprehensive tobacco-free policy.
Using a Combination of PID Control and Kalman Filter to Design of IoT-based Telepresence Self-balancing Robots during COVID-19 Pandemic Suwarno, Iswanto; Ma'arif, Alfian; Raharja, Nia Maharani; Hariadi, Tony Khristanto; Shomad, Muhammad Abdus
Emerging Science Journal Vol. 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021)
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SP1-016

Abstract

COVID-19 is a very dangerous respiratory disease that can spread quickly through the air. Doctors, nurses, and medical personnel need protective clothing and are very careful in treating COVID-19 patients to avoid getting infected with the COVID-19 virus. Hence, a medical telepresence robot, which resembles a humanoid robot, is necessary to treat COVID-19 patients. The proposed self-balancing COVID-19 medical telepresence robot is a medical robot that handles COVID-19 patients, which resembles a stand-alone humanoid soccer robot with two wheels that can maneuver freely in hospital hallways. The proposed robot design has some control problems; it requires steady body positioning and is subjected to disturbance. A control method that functions to find the stability value such that the system response can reach the set-point is required to control the robot's stability and repel disturbances; this is known as disturbance rejection control. This study aimed to control the robot using a combination of Proportional-Integral-Derivative (PID) control and a Kalman filter. Mathematical equations were required to obtain a model of the robot's characteristics. The state-space model was derived from the self-balancing robot's mathematical equation. Since a PID control technique was used to keep the robot balanced, this state-space model was converted into a transfer function model. The second Ziegler-Nichols's rule oscillation method was used to tune the PID parameters. The values of the amplifier constants obtained were Kp=31.002, Ki=5.167, and Kd=125.992128. The robot was designed to be able to maintain its balance for more than one hour by using constant tuning, even when an external disturbance is applied to it. Doi: 10.28991/esj-2021-SP1-016 Full Text: PDF
Co-Authors Alfian Ma’arif Arifah Khusnuryani, Arifah Baballe, Muhammad Ahmad Cakan, Abdullah Dwi Ana Ratna Wati Maghfiroh, Hari Mahmoud, Magdi S. Meiyanto Eko Sulistyo Shomad, Muhammad Abdus Siti Fatimah Suwarno, Iswanto Tony K Hariadi Warsito, Gita Miranda