Nur Achmad Sulistyo Putro

Bio: Nur Achmad Sulistyo Putro is an academic researcher from Gadjah Mada University. The author has contributed to research in topics: Ant colony optimization algorithms & Computer science. The author has an hindex of 3, co-authored 7 publications receiving 23 citations.

Optimizing control based on fine tune PID using ant colony logic for vertical moving control of UAV system

Abstract: Fixed-wing UAV has the ability to fly like a plane. For the movement of the flight, a good control system is needed. Part of the flight controls that require our attention among them is the vertical moving control. The controls are used to adjust the vertical movement involving aircraft pitch angle control. To control it, we can use control method that has been commonly used. The control method is a PID (Propositional, Integral and Derivative) control method. PID has three components (Kp, Ki, and Kd). The three components of PID can be obtained in various ways or methods. However, to produce a robust control, a method that can optimize the PID components is needed. Ant Colony Optimization (ACO) is one of PID controller optimization method which adapted by ant colony ability to find the shortest way from their nest to food. Some ACO parameters are a number of ants, parameters, and pheromone component for pheromone. Pheromones are the values given by the ants when they use the road.

An Intelligent Incentive Model Based on Environmental Ergonomics for Food SMEs

Abstract: In this study, an intelligent incentive model based on environmental ergonomics in food small and medium-sized enterprises (SMEs) was developed. Environmental ergonomics was defined as the impact of temperature and relative humidity within a certain range on a worker’s heart rate during work. Optimum environmental ergonomics are highly required as a basic standard for food SMEs to provide fair incentives. Recommendable parameters from a genetic algorithm and fuzzy inference modeling were used to model customized incentives based on optimum heart rate, workplace temperature and relative humidity before and after working. The research hypothesis stated that industries should optimize their workload and workstation environment prior to customizing incentives. The research objectives were: 1) to recommend optimum environmental ergonomics parameters for customized incentives; 2) to determine the incentives at workstations of SMEs based on optimum environmental ergonomics parameters and fuzzy inference modeling. The optimum values for heart rate, workstation temperature and relative humidity used were based on recommendable values from the genetic algorithm. An inference model was developed to generate decisions whether a worker should receive an incentive based on a calculated index. The results indicated that 84.4% of workers should receive an incentive. The results of this research could be used to promote the concept of ergonomics-based customized incentives.

PLO User Interface based on Telegram Bot

Abstract: Instant messaging services usually integrate a notification system on their users’ devices, as phone calls and short message service (SMS) systems do. Telegram is – as far as we are aware – the only popular instant messaging service that uses open source code. Telegram also provides APIs for their users, enabling the development of a bot system that allows instant messaging application to access information. Here, we study the potential use of Telegram bot as a user interface to a paperless office (PLO) system developed in our institution. We found that Telegram bot improves communication among the users; however, as the amount of messages increased, the server becomes overloaded. This limitation suggests that future works need to be directed to improving the efficiency of the bot

Group preference decision-making for the implementation of Industry 4.0 in food and beverage SMEs

Abstract: This study aimed to model group preference decision-making to implement Industry 4.0 on food and beverage small- and medium-sized enterprises (SMEs). An ant colony optimisation was adopted to model the decision-making process based on the travelling salesman problem. The model was demonstrated on three preferences of Industry 4.0, namely, ergonomic work methods, machineries and tools, and e-commerce and promotion. The Likert-scale Kansei words data were obtained from 120 SMEs’ manager in Indonesia. The data were then plotted to Cartesian coordinates with the x and y-axes showing the mode and average values, respectively, and were simulated in a sequence using ACO. The results indicated that machinery and tools were the most preferred to implement Industry 4.0. Adaptiveness was the most preferred attribute in making the first decision. The benchmarking demonstrated ACO performed better than genetic algorithm in modelling group preference. The group preference was also compared to trust level and the finding showed a high correlation between both constructs. The high trust in the group preferences is expected to contribute for the sustainability of Industry 4.0. The method enriches various existing theoretical approaches for group preference decision-making and applicable to assist the SME’s management for implementation of Industry 4.0.

Quadrotor Control System with Hand Movement Sign as an Alternative Remote Control

Abstract: Quadrotor is an unmanned aerial vehicle which is controlled by remote control. Unfortunately, not all of the remote control are easy to use, especially for people who have lacking abilities in piloting. This study aims to design a prototype system to control quadrotor using hand movements, as an alternative to the conventional remote control that more simple. This system is consists of 2 parts, quadrotor and handheld. Both systems can communicate wirelessly using radio frequency 2.4 GHz. The handheld system will read the orientation angle of the hand by IMU sensor and it will be converted into a command to determine the direction motion of the quadrotor. To get the orientation angle from the IMU sensor data, we used DCM sensor fusion method. Quadrotor needs a control system that can make its respond runs optimally. In this study, the method of the control system that used is PID controller. The PID gain obtained using Ziegler-Nichols oscillation method and then fixed again by fine-tuned method.

Flight parameters improvement for an unmanned aerial vehicle using a lookup table based fuzzy PID controller

Abstract: In this paper, a control scheme based on lookup table fuzzy proportionalintegral-derivate (PID) controller for the quadrotor unmanned aerial vehicle (UAV) movement control is proposed. This type of control provides enhanced quadrotor movement control beyond what can be achieved with conventional controllers and has a less computational burden on the processor. The proposed control scheme uses three lookup table based fuzzy logic controllers to control the different movement ranges of a quadrotor (i.e. roll, pitch, and yaw) to achieve stability. The mathematical model of a quadrotor, used to design the proposed controller, is derived based on the Lagrange approach. The processor in the loop (PIL) technique was used to test and validate the proposed control scheme. MATLAB/Simulink environment was used as a platform for the quadrotor model, whereas a low cost and high-performance STM32F407 microcontroller was used to implement the controllers. Data transfer between the hardware and software is via serial communication converter. The control system designed based on simulation is tested and validated using “processor in the loop” techniques.

Power Management In IoT Weather Station

Abstract: This paper presents a power management solution for an Internet of Things (IoT) based, battery operated weather station prototype. A complete simulation software was developed to validate this system with real weather data. Through the help of the developed software and power consumption measurements made on the prototype an optimized system runtime was calculated and implemented. In order to reduce maintenance the calculations were fine tuned to allow a switch from batteries to supercapacitors.

Geometric control of quadrotor UAVs using integral backstepping

Abstract: The traditional quadcopter control systems should deal with two common problems. Namely, the singularities related to the inverse kinematics and the ambiguity linked to the quaternion representation of the dynamic model. Moreover, the stability problem due to the system nonlinearity and high degree of coupling. This paper provides a solution to the two issues by employing a geometrical integral-backstepping control system. The integral terms were added to improve system ability to track desired trajectories. The high-level control laws are considered as a virtual control and transmitted to the low-level to track the high-level commands. The proposed control system along with the quadcopter dynamic model were expressed in the special Euclidean group SE(3). Finally, the control system robustness against mismatching parameters was studied while tracking various paths.

Sistem Ground Control Station Berbasis Mobile Untuk Pengamatan Dan Pengendalian Uav

Abstract: UAV ini memiliki banyak kelebihan diantaranya, pesawat ini dapat digunakan untuk menjalankanmisi yang berbahaya ataupun misi rahasia. Salah satu misi UAV yang paling sering digunakan adalahpemantauan kondisi di suatu tempat. Pemantau kondisi lingkungan dari udara dengan menggunakanUnmanned Aerial Vehicle(UAV) yang dilengkapi dengan kamera diperlukan suatu perangkat lunakyang mampu mengirimkan data ke Ground Control Station(GCS). GCS juga dapat digunakan untukmengirimkan perintah. Dalam penelitian ini perintah yang dikirim adalah perintah autopilot. Perintahautopilot ini sangat penting dalam misi pemantauan. Perintah ini digunakan untuk mengarahkan UAVke suatu posisi yang ingin dipantau. Data perintah yang dikirim berupa titik koordinat garis bujur danlintang tujuan. Untuk mengaktifkan autopilot tersebut diperlukan suatu sistem pengiriman perintahdari GCS. Sehingga setelah data diterima oleh UAV, maka UAV mampu memroses data yangdiperlukan dan menjalankan perintah autopilot berdasarkan data perintah yang telah dikirim dalam halini khususnya quadcopter. Beberapa tahun terakhir, para software developers mengalihkan perhatiankepada pembuatan aplikasi mobile, salah satunya adalah android. Perangkat mobile lebih mudahdibawa untuk perjalanan. Penelitian ini akan mengembangkan GCS seperti pada berbasis PCberdasarkan pada platform android, dan dikombinasikan dengan perangkat layar sentuh android.Penelitian ini akan diujicobakan menggunakan fasilitas laboratorium Elektronika dan InstrumentasiVokasi UGM.

Modeling SMEs’ Trust in the Implementation of Industry 4.0 using Kansei Engineering and Artificial Neural Network: Food and Beverage SMEs Context

Abstract: Trust is an important aspect for policy makers in recommending the implementation of Industry 4.0 in food and beverage small and medium-sized enterprises (SMEs). SMEs’ trust in the implementation of Industry 4.0 is defined as the level of belief in applying appropriate technology for Industry 4.0 based on their knowledge, familiarity, agreement and preference. Trust is a complex construct involving several Kansei words, or human mentality parameters. Artificial neural network modeling was utilized to model SMEs’ trust in implementation of Industry 4.0. The research objectives were: 1) to analyze the trust of SMEs in the implementation of Industry 4.0 using Kansei Engineering; 2) to model the trust of SMEs in the implementation of Industry 4.0 using an artificial neural network (ANN). A questionnaire was developed using Kansei words that were generated from adjectives to represent human mentality parameters, which were stimulated by visual samples of Industry 4.0 technology. The questionnaires were distributed among 190 respondents from the three large islands of Indonesia. The data were recapitulated for training, validating and testing the ANN model based on the backpropagation supervised learning method. The output was classification of trust as ‘distrust’, ‘trust’ or ‘overtrust’. The research results indicated that the SMEs’ trust was influenced by education, knowledge, familiarity, benefit, preference ranking and verbal components.