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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Seminar Nasional Teknologi Informasi Komunikasi dan Industri J I M P - Jurnal Informatika Merdeka Pasuruan SENTIA 2015 Jurnal Informasi dan Teknologi Jurnal INOVTEKSeri Elektro The Journal of Artificial Intelligence and Development

Halim Mudia

Teknik Elektro Universitas Islam Negeri Sultan Syarif Kasim

Author-ID : 3465328

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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Articles

Adaptif STR-PID Untuk Pengendalian Temperatur Pada Annealing Lehr Halim Mudia; Ramadani Ramadani; M. Nur Faizi; Hikmatul Amri
INOVTEK - Seri Elektro Vol 2, No 1 (2020): INOVTEK Seri Elektro
Publisher : Politeknik Negeri Bengkalis

Kaca merupakan salah satu benda yang bisa diaplikasikan dalam berbagai bidang, seperti untuk keperluan industri dan peralatan rumah tangga. Tapi Dalam proses pembuatannya kaca, sering terjadi kegagalan dan tidak lulus uji kualifikasi seperti tidak padat, retak, bergerlembung. Hal ini disebabkan tidak tepatnya pengendalian temperatur ketika proses pendinginan maupun pemanasan untuk pencampuran dan peleburan material, sehingga harus didaur ulang dan menambah biaya produksi. Oleh karena itu diperlukan suatu kendali untuk pengendalian temperatur agar sesuai dengan setpoint yang diinginkan, agar mendapatkan kualitas kaca sesuai dengan kualifikasi yang dibutuhkan. Dalam hal ini kendali yang digunakan adalah Adaptif STR-PID, dimana STR (Self Tuning Regulator) mampu memberikan nilai parameter yang tepat pada PID dan mampu melakukan adaptasi nilai parameter PID jika terjadi perubahan setpoint yang sesuai dengan tahap-tahap proses produksi kaca. Dari hasil penelitian ini, telihat STR-PID mampu mengurangi error steady state= 00C, overshoot= 0%, dan mampu mengikuti perubahan nilai setpoint saat menaikan dan menurunkan temperatur.

PERANCANGAN MODEL PREDICTIVE TORQUE CONTROL UNTUK PENGATURAN KECEPATAN MOTOR INDUKSI DENGAN ROBUST STATOR FLUX OBSERVER Halim Mudia; Mochammad Rameli; Rusdhianto Efendi
J I M P - Jurnal Informatika Merdeka Pasuruan Vol 3, No 1 (2018): MARET
Publisher : Fakultas Teknologi Informasi Universitas Merdeka Pasuruan

Secara umum dalam dunia industri, motor induksi lebih banyak digunakan daripada motor arus searah. Dikarenakan sifat motor induksi yang kokoh, handal, mudah dalam perawatan, dan harga relatif murah. Tapi pengendalian pada motor induksi lebih komplek dibandingkan dengan motor arus searah, karena disebabkan oleh kompleksitas dinamika motor induksi, sehingga algoritma pengaturannya lebih komplek. Berdasarkan masalah tersebut penulis malakukan penelitian pada motor induksi menggunakan metode Model Predictive Torque Control (MPTC) dengan Robust Stator Flux Observer, dimana Robust Stator Flux Observer dirancang untuk mengatasi kekurangan pada Direct Torque Control (DTC) konvensional, yang dapat menimbulkan fluktuasi ripplefluks dan torsiyang tinggi paada saat kondisi steady state. Jadi dari tujuan metode yang diusulkan, hasil dari sistem yang dirancang dapat menyesuaikan kecepatan putaran motor induksi sesuai referensi yang diberikan yaitu 120 rad/s dengan waktu penyelesaian 0.753 detik, dan juga dapat meminimalkan fluktuasi ripple fluks dan torsi. Kata kunci - Motor Induksi, Direct Torque Control, Model Predictive Control, Robust Stator Flux Observer, Matlab

Adaptif STR-PID Untuk Pengendalian Posisi Pada Magnetic Levitation Ball Halim Mudia
INOVTEK - Seri Elektro Vol 2, No 1 (2020): INOVTEK Seri Elektro
Publisher : Politeknik Negeri Bengkalis

Magnetic Levitation Ball merupakan suatu sistem yang terdiri atas bola baja bersifat ferromagnetik yaitu benda yang memiliki sifat kemagnetan yang kuat, dimana benda tersebut akan melayang diatas permukaan suatu medium udara atau di bawah sebuah elektromagnet. Permasalahan utama Magnetic Levitation Ball terletak pada sistemnya yang nonlinier, dimana perubahan setpoint tidak sebanding dengan perubahan keluaran. Oleh karena itu diperlukan suatu kendali untuk mengendalikan posisi Magnetic Levitation Ball agar benda itu melayang sesuai dengan setpoint dan karakteristik sistem yang diinginkan, dalam hal ini kendali yang digunakan adalah Adaptif STR-PID, dimana Adaptif STR (Self Tuning Regulator) mampu melakukan adaptasi nilai parameter PID sesuai dengan setiap keadaan yang terjadi pada sistem tersebut, seperti mampu mengikuti perubahan setpoint dan mengatasi adanya gangguan. Dari hasil penelitian ini, telihat STR-PID mampu mencapai setpoint yang diinginkan, dengan error steady state= 0 m, overshoot= 0%, dan mampu mengatasi gangguan yang terjadi.

PERANCANGAN DAN IMPLEMENTASI KONTROLER PID ADAPTIF PADA PENGATURAN KECEPATAN MOTOR INDUKSI TIGA FASA Halim Mudia; Rusdhiyanto Effendie; Ek Iskandar
SENTIA 2015 Vol 7, No 1 (2015)
Publisher : SENTIA 2015

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.057 KB)

Motor induction motor is most widely used in industry. The advantage of which is the construction of an induction motor is simple, the price is cheaper than other types of motor, as well as easy maintenance. Meanwhile, the lack of induction motor speed control technique is relatively difficult and requires a high starting currents around six times the nominal current of the motor. One method that was developed in the induction motor speed control is adaptive PID controller. In this final project will be designed and realized an adaptive PID controller Self Tuning Regulator (STR) to control the speed of three phase induction motor using Matlabvsoftware and ATmega16 AVR microcontroller as the input and output of the plant by communication using RS-232 serial. The purpose of this research is to try to implement adaptive PID method using Matlab as a controller.

Radial Basis Function Neural Network Control for Coupled Water Tank Halim Mudia
Indonesian Journal of Artificial Intelligence and Data Mining Vol 3, No 2 (2020): Spetember 2020
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v3i2.10002

The level and flow control in tanks are the heart of all chemical engineering system. The control of liquid level in tanks and flow between tanks is a basic problem in the process industries. Many times the liquids will be processed by chemical or mixing treatment in the tanks, but always the level of fluid in the tanks must be controlled and the flow between tanks must be regulated in presence of non-linearity. Therefore, in this paper will use neural network based on radial basis function (RBF) to control of level 2 in the tank 2 with the setpoint of 10 centimeters and can follow the setpoint changes to 8 centimeters given in 225 seconds. The results show that neural netwotk based on radial basis function can follow setpoint given with steady state error is 0 cm, overshoot is 0%, rising time is 48 seconds, settling time is 52 seconds and can follow setpoint changes in 51 seconds.

Comparative Study of Mamdani-type and Sugeno-type Fuzzy Inference Systems for Coupled Water Tank Halim Mudia
Indonesian Journal of Artificial Intelligence and Data Mining Vol 3, No 1 (2020): March 2020
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v3i1.9309

The level and flow control in tanks are the heart of all chemical engineering system. The control of liquid level in tanks and flow between tanks is a basic problem in the process industries. Many times the liquids will be processed by chemical or mixing treatment in the tanks, but always the level of fluid in the tanks must be controlled and the flow between tanks must be regulated in presence of non-linearity. Threfore, in this paper will use fuzzy inference systems to control of level 2 are developed using Mamdani-type and Sugeno-type fuzzy models. The outcome obtained by two fuzzy inference systems is evaluated. This paper summarizes the essential variation among the Mamdani-type and Sugeno-type fuzzy inference systems with setpoint of level is 10 centimeter. Matlab fuzzy logic toolbox is used for the simulation of both the models. This also confirms which one is a superior choice of the two fuzzy inference systems to control of level 2 in tank 2. The results show madani-type fuzzy inference system is superior as compared to sugeno-type fuzzy inference system.

Fuzzy Sugeno with Gain Compensator Based on Pole Placement for Controlling Coupled Water Tank System Halim Mudia; Ahmad Faisal; Marhama Jelita
Indonesian Journal of Artificial Intelligence and Data Mining Vol 5, No 1 (2022): March 2022
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v5i1.16350

The control of liquid level in tanks is a classic problem in process industries. Most of the liquid will be processed by chemical or mixing treatment in the tanks. Because of that, the liquid level in the tanks must be regulated, so that in order for this system to work as we want, it needs a control strategy. Therefore, this research will use a control strategy using fuzzy sugeno with a gain compensator based on pole placement for controlling level of tank 2 in the coupled water tank system with setpoint is 10 centimeters at time 0 seconds and 8 centimeters given at time 1000 seconds. Wherein, the gain compensator based on pole placement is used to make the output system robust to changes in setpoint with zero steady-state error and fuzzy sugeno for faster time response. The results show that using the fuzzy sugeno with a gain compensator based on pole placement can follow setpoint given with 0 centimeters of steady-state error, 0% for overshoot, 44,6538 seconds for rising time, 62,2688 seconds for settling time and can follow setpoint changes in 58,8662 seconds.

Studi Perbandingan Pengendali MRAC dan MRAC-PD pada Pengendalian Web Tension pada Sistem Rewinder Roll faizal ahmad faizal; aulia rahma jumardi; Ewi Ewi Ismaredah; halim mudia
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2020: SNTIKI 12
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Dalam setiap industri penting bagi industri tersebut untuk menjaga kualitas produksi barang yang di hasilkan. Contohnya industri kertas, industri ini menghasilkan produk yang menjadi kebutuhan manusia sehari-hari. Oleh karena itu, penting bagi suatu industri kertas agar menjaga kualitas produk yang dihasilkan memiliki mutu produksi yang baik. Berdasarkan studi literatur, penyebab terjadinya kecatatan produksi kertas yang paling dominan yaitu wrinkle atau kertas keriput. Kecacatan produksi ini terjadi karena pengendalian ketegangan kertas yang tidak sesuai pada proses yang terjadi di web tension. Oleh karena itu untuk menjaga agar kualitas kertas yang di produksi maka di perlukan sebuah pengendali untuk memastikan keakuratan dalam pengukuran ketegangan kertas. Salah satu pengendali yang dapat digunakan pada plant ini yaitu pengendali MRAC, namun pengendali MRAC ini masih menghasilkan respon sistem yang kurang baik pada sistem, maka pengendali ini ditambahkan pengendali PD untuk mendapatkan hasil respon sistem yang lebih baik dimana penentuan model referensi menggunakan metode MIT rule dan penentuan nilai Kp dan Kd menggunakan metode heuristik. Hasil penelitian ini menunjukkan pengendali MRAC-PD mampu menghasilkan performansi yang lebih baik dimana pengendali MRAC-PD dapat mengurangi osilasi yang ditimbulkan serta mengurangi overshoot dan menghilangkan Error Steady State yang di timbulkan pengendali MRAC, dimana didapatkan nilai-nilai parameter nya adalah Ess=0 N, tr=0.0958 detik, ts=0.317 detik, td=0.122 detik, Mp=0.0002 %

Implementation of Internet of Things in the Production Process of MSMEs: Quality Improvement and Process Control Mardiani, Eri; D.Iwan Riswandi; Degdo Suprayitno; Khamaludin; Halim Mudia
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.520

This research explores the application of IoT in MSME production to enhance quality and process control. The focus is on addressing challenges such as high costs, lack of technical understanding, and data security. The aim is to highlight the benefits of IoT, evaluate implementation challenges, and provide strategic guidance for MSMEs to thrive in the digital era. This research adopts a descriptive qualitative approach using purposive area sampling, focusing on Surabaya, an industrial city supported by the government for MSMEs. The goal is to understand the application of IoT in improving quality and process control in Surabaya MSMEs. This research method provides in-depth insights into the observed phenomena aligned with the objectives set. Awareness and adoption of IoT in MSMEs are low due to constraints such as technological understanding, costs, data security, and lack of perceived benefits. Barriers include limited technical knowledge, high costs, and data security concerns. Solutions include enhancing technological understanding, integrating ERP, and utilizing IoT-based quality control systems. MSMEs can improve their efficiency, quality, and competitiveness with the right strategy. Implementing IoT technology can enhance MSMEs' quality, process control, operational efficiency, and competitiveness. MSMEs are advised to carefully plan and implement IoT solutions, considering their needs and potential benefits, and collaborate with experienced technology solution providers to address technical and operational challenges.

Utilization AI for Predictive Maintenance in IoT-Enabled Industrial Systems Halim Mudia
Journal of Artificial Intelligence and Development Vol. 2 No. 2 (2023): AI Deevelopment
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar

Integrating Artificial Intelligence (AI) with Internet of Things (IoT) technologies has emerged as a transformative approach to predictive maintenance in industrial systems. This article aims to explore the use of AI for predictive maintenance in IoT-based industrial systems, aiming to improve operational efficiency and asset reliability. The research method uses a systematic literature review (SLR) through empirical studies and real-world case scenario analysis; this research highlights the potential benefits of AI-based predictive maintenance, including proactive equipment failure detection, maintenance schedule optimization, and reduced downtime. However, implementation challenges such as data quality, interoperability, and cybersecurity must be addressed to realize the benefits of AI-based predictive maintenance fully. The research results identify emerging trends and future directions in AI-powered predictive maintenance, emphasizing the importance of continuous innovation and exploration of advanced technologies to drive sustainable growth in the industrial environment. So, integrating AI algorithms with IoT sensors enables proactive identification of equipment failures, optimization of maintenance schedules, and, ultimately, enhancement of operational efficiency and asset reliability.

Co-Authors Ahmad Faisal aulia rahma jumardi D.Iwan Riswandi Ek Iskandar Ewi Ewi Ismaredah faizal ahmad faizal Faizi, M Nur Hikmatul Amri Khamaludin, Khamaludin Mardiani, Eri Marhama Jelita Mochammad Rameli Ramadani Ramadani Rusdhianto Efendi Rusdhiyanto Effendie

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