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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ilmiah Mikrotek Jurnal Simantec REKAYASA Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Journal of Robotics and Control (JRC) International Journal of Science, Engineering and Information Technology
Dafid, Ach
Program Studi Teknik Mekatronika, Fakultas Teknik, UniversitasTrunojoyo Madura Jl. Raya Telang, PO BOX 2, Kamal, Bangkalan - 69162
Aerospace Engineering Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics Other

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Kinerja Pendekatan Convolutional Neural Network dan Dense Network dalam Klasifikasi Citra Malaria Dafid, Achmad; Siwindarto, Ponco; Siswojo, Bambang
Rekayasa Vol 14, No 2: Agustus 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i2.10735

Abstract

Indonesia is an archipelago, which three of its five main island consists mainly, or dense tropical rainforest. This rainforest is main breeding ground for malaria disease that mostly affect regions near said forest. In an effort to treat malaria disease, a diagnostic process is performed to correctly identify the disease. Several image pattern recognition technique been developed and have potential to be utilized as malaria diagnostic tool. In this research, a method is described on designing neural network to detect a blood cell parasitized by malaria. The method consists of utilizing a dense network, and a convolutional neural network, to be trained using publicly available training dataset. Both models’ performance is then compared and analyzed. Before the data is used, a process of padding is performed to resize the input image into 200 x 200 pixels. The resized input data is then used to train both models. From the training and testing, it is found that the dense network achiever 64.78% accuracy. On the other hand, model based on convolutional neural network achiever 94.32%. From analysis, it is found that the size of the model being used is not big enough to achieve better performance. Hence, it is suggested for future research to increase the model size in terms of network width and depth. 
LIVE STREAM CONTROL OF SMARTHOME WITH CAMERA Ziyyad Yassar; Ach Dafid
Jurnal Ilmiah Mikrotek Vol 2, No 4 (2017): FEBRUARI
Publisher : Universitas Trunojoyo Madura

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

Abstract

Tingginya angka kriminalitas di Indonesia merupakan akibat dari krisis ekonomi. Banyak sekalipengurangan karyawan yang dilakukan oleh sebuah perusahaan sehingga semakin tinggi tingkatpengangguran di Indonesia. Tentunya tindakan kejahatan semakin banyak dilakukan, terutama dalam halpencurian dan perampokan. Penelitian ini yang dapat diangkat yaitu bagaimana merancang security homedengan menggunakan webcam sebagai CCTV. Dimanawebcam tersebut akan merekam semua aktifitasyang ada pada sebuah rumah. Selain itu userjuga dapat melihat secara lansung aktifitas yang ada padarumah melalui smartphone android dengan cara membuka aplikasi yang telah dibuat, namun smartphoneharus terkoneksi pada jaringan internet atauwifi yang sama. Ketika sensor ultrasonik sebelah kananmendapat input maka servo akan mengarah kesebelah kanan dan webcam akan melihat dan merekamseluruh aktifitas yang ada pada ruangan sebelah kanan. Sedangkan jika sensor ultrasonik sebelah kirimendapat input maka servo akan mengarah kesebelah kiri dan webcam akan melihat dan merekamseluruh aktifitas yang ada pada ruangan sebelah kiri.
PERANCANGAN ALAT CERDAS PENDETEKSI KANDUNGAN UNSUR TANAH Hanifudin Sukri; Adi Kurniawan Saputro; Ach Dafid
Jurnal Simantec Vol 9, No 1 (2020)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v9i1.9216

Abstract

Kebiasaan para petani dalam bercocok tanam tanpa memperhatikan kondisi tanah sering kali menjadi permasalahan dasar dalam proses bertani. Sehingga mempengaruhi kualitas dan kuantitas hasil bercocok tanam. Penelitian ini bertujuan untuk memberikan update ilmu teknologi kepada para petani dalam menganalisis kandungan tanah. Sistem alat ini cukup sederhana, hanya dengan menancapkan ujung alat instrumentasi ini maka akan keluar hasil analisis. Hasil analisis tersebut akan memunculkan rekomendasi tanaman yang cocok untuk tanah yang di uji menggunakan alat tersebut. Alat tersebut dilengkapi dengan empat macam sensor seperti sensor pH tanah, sensor Suhu Udara, sensor Kelembaban tanah dan sensor Suhu tanah. Sensor tersebut dijadikan sebagai input data untuk diolah menggunakan algortima Fuzzy yang rancang. Harapannya alat ini mampu membantu para petani dalam menganalisis kandungan tanah tanpa biaya yang relatif mahal dan waktu pengujian yang relatif lama untuk mendapatkan hasil analisisnya. Setelah dilakukan pengujian alat maka diperoleh hasil persentase pengujian yaitu 98% keberhasilan alat dalam menampilkan hasil analisis sistem berdasarkan pembacaan sensor pada tanah.
IMPLEMENTATION OF WEBSITE PERFORMANCE EVALUATION WITH SIMILARWEB ON ACADEMIC WEBSITES Ika Oktavia Suzanti; Fifin Ayu Mufarroha; Khusnul Fatimah; Doni Abdul Fatah; Hanifudin Sukri; Achmad Dafid
Jurnal Simantec Vol 10, No 2 (2022)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v10i2.14234

Abstract

Trunojoyo University Madura is a state university in Indonesia. The Trunojoyo Madura University website is used for information delivery media. The website can be accessed by anyone and used to make announcements for both students and outsiders. Based on this, the desired website quality must have high performance, usability, mobile friendliness, accessibility, SEO (Search Engine Optimization), connected to social media, and safe. This study was conducted to determine the level of usability through evaluating the performance of the academic website of Trunojoyo Madura University. Therefore, this study evaluates the performance of the website by using an automatic evaluation tool, namely SimilarWeb. This tool checks the level of popularity of a website both in terms of ranking and the number of visitors who access the website. In addition, measurements from the usability side were taken to determine the usability of the website obtained from the responses of students and visitors who have accessed the website. The results showed that by using SimilarWeb website traffic was obtained at a good level. Usability measurement has been carried out, as many as 58 respondents have answered 15 questions.
Implementation Of Fuzzy Logic Control Method On Chilli Cultivation Technology Based Smart Drip Irrigation System Faikul Umam; Ach. Dafid; Andharini Dwi Cahyani
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i1.25878

Abstract

Herbal chili plants are very beneficial from a health and economic perspective. In the process of cultivating herbal chili plants, there are still many problems that need to be faced, including unfavorable climatic conditions and less intensive cultivation processes. Based on this description, to overcome these problems, technological innovation is needed that can be implemented directly in the cultivation of herbal chili plants. This situation can be achieved by applying a drip irrigation system. This system makes it possible to control the water supply requirements of chili herbs efficiently. System stability can run optimally when combined with a method that can make a decision quickly. Fuzzy logic is used in research because it is able to provide appropriate decisions on temperature and soil moisture data in chili herbs. This research is expected to overcome the problem of water shortages in barren areas. And increase people's interest in the cultivation of herbal chili plants. This research is also an overview and framework for developing the agricultural sector in Madura in the technology field. The results of this study indicate that technology can be designed and integrated with the fuzzy logic control method, then the results of testing the tool also show a 99,98% success rate. This is shown by the results of testing in the morning, afternoon, and evening. The contribution of this study is the control of temperature and humidity which in other studies only focused on the soil, not on the temperature and humidity of the air around the herbal chili plants with a system that has been controlled using the fuzzy method.
TEMPERATURE CONTROLLER IN PORTABLE BOXES USING PID (PROPORTIONAL INTEGRAL DERIVATIVE) METHOD Ach Dafid; Firmansyah Adiputra
International Journal of Science, Engineering, and Information Technology Vol 7, No 1 (2022): IJSEIT Volume 07 Issue 01 31 December 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v7i1.19313

Abstract

Many foods become unhealthy because they are contaminated with unsafe ingredients or with containers that are not suitable for use. One of them is by using plastic media, which often happens to workers and children when buying food carelessly. So it takes food supplies to still be able to control what is consumed. But many parents are not aware of the dangers of plastic being used to store food. Not only that, when the provisions use plastic media, the food cools very quickly in a matter of hours. So you need a food heater to keep it warm and fresh when consumed. Where a food box warmer can warm food in a short time of 15 minutes, using a PTC (Positive Temperature Coefficient) heating element to get a temperature value of 49 ºC using the PID (Propotional Integral Derevative) method which is used to get an error value and has a response stable system. PID can provide control with good accuracy during the heating process. So that the results of several experiments obtained a set point value of 49 ºC which has a stable temperature with an error rate of 0.69
Design of a Device for Utilizing Hazardous and Toxic Waste as Fuel For a Stove (Burner) with a PID Control System Weny Findiastuti; Ach Dafid; Rullie Annisa
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.26179

Abstract

Used oil waste is treated by spraying oil into the combustion furnace using wind from a blower. Before pouring oil into the furnace, it is necessary to manually heat it up to 300°C to burn off the fat. The controls in this study control the valve and blower to reach the desired temperature up to 800°C by utilizing a k-type thermocouple temperature sensor to detect temperature. This burner stove research uses the PID control method because it has a response that is fast enough to reach the desired temperature. The PID method is a controller that can reduce the error rate in a system to provide an output signal with a fast response, small error rate, and small overshoot. One of the contributions to this research is the importance of reducing the negative impact of hazardous and toxic waste on the environment and being an alternative solution in dealing with hazardous and toxic waste. In other conditions, this research makes an important contribution to the development of technology for processing and utilizing hazardous and toxic waste materials. Hopefully, this research will help contribute ideas and thoughts on preserving the environment and utilizing existing resources more efficiently. From the results of this study, based on the number of test results from seven tests, it can be said that the conditions are optimal because the fire produced from used oil does not contain black smoke. Meanwhile, the maximum temperature generated was 809 °C at the 73rd second, and the temperature continued to fall at the 94th second, and so on until it reached stability. These conditions indicate that the fuel speed ratio (used oil) and applied air pressure have started to improve so that the temperature is stable at 806 °C. In conclusion, the optimum test results at a flame temperature of 806 °C, the resulting flame does not produce black smoke, so the combustion of the used evaporative lubricant produces much cleaner exhaust emissions.
PEMETAAN HARGA RUMAH DENGAN MENGGUNAKAN MODEL STATISTIK : GEOGRAPHICALLY WEIGHTED REGRESSION Kukuh Winarso; Achmad Dafid
Rekayasa Vol 15, No 3: Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v15i3.21818

Abstract

Penentuan harga rumah di sebagian kota-kota besar di Indonesia dipengaruhi oleh banyak faktor, salah satunya adalah lokasi rumah. Lokasi rumah menunjukkan hubungan yang positip dengan harga rumah. Lokasi rumah dekat dengan pusat bisnis adalah salah satu hal yang menyebabkan harga rumah menjadi mahal. Disamping itu pusat pemukiman berdasar kepadatan penduduk di satu sisi menyebabkan harga rumah menjadi naik pada posisi yang lain menyebabkan harga rumah menjadi turun. Penelitian ini berbasis pada pemetaan harga rumah yang dipengaruhi oleh pusat bisnis dan pusat pemukiman penduduk dikota Surabaya. Pemetaan Harga rumah ini menggunakan metode Geographically Weighted Regression (GWR). adalah suatu teknik yang membawa kerangka dari model regresi sederhana menjadi model regresi terboboti.
Implementation of Automatic DC Motor Braking PID Control System on (Disc Brakes) Budiarto, Hairil; Triwidyaningrum, Vivi; Umam, Faikul; Dafid, Ach
Journal of Robotics and Control (JRC) Vol 4, No 3 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i3.18505

Abstract

The vital role of an automated braking system in ensuring the safety of motorized vehicles and their passengers cannot be overstated. It simplifies the braking process during driving, enhancing control and reducing the chances of accidents. This study is centered on the design of an automatic braking device for DC motors utilizing disc brakes. The instrument employed in this study was designed to accelerate the vehicle in two primary scenarios - before the collision with an obstacle and upon crossing the safety threshold. It achieves this by implementing the Proportional Integral Derivative (PID) control method. A significant part of this system comprises ultrasonic sensors, used for detecting the distance to obstructions, and rotary encoder sensors, which are utilized to measure the motor's rotational speed. These distance and speed readings serve as essential reference points for the braking process. The system is engineered to initiate braking when the distance value equals or falls below 60cm or when the speed surpasses 8000rpm. During such events, the disc brake is activated to reduce the motor's rotary motion. The suppression of the disc brake lever is executed pneumatically, informed by the sensor readings. Applying the PID method to the automatic braking system improved braking outcomes compared to a system without the PID method. This was proven by more effective braking results when the sensors detected specific distance and speed values. Numerous PID tuning tests achieved optimal results with K_p = 5, K_i = 1, and K_d = 3. These values can be integrated into automatic braking systems for improved performance. The PID method yielded more responsive braking outcomes when applied in distance testing. On the contrary, the braking results were largely unchanged in the absence of PID. Regarding speed testing, the PID method significantly improved the slowing down of the motor speed when it exceeded the maximum speed limit of 8000 rpm. This eliminates the possibility of sudden braking, thus maintaining the system within a safe threshold. The average time taken by the system to apply braking was 01.09 seconds, an indication of its quick responsiveness. This research is a valuable addition to control science, applying the PID control method to automatic DC motor braking. It provides valuable insights and concrete applications of PID control to complex mechatronic systems. It is also noteworthy for its development and optimization of suitable PID parameters to achieve responsive and stable braking. The study, therefore, offers a profound understanding of how PID control can be employed to manage braking systems on automatic DC motors, thereby advancing knowledge and application of control in control science and mechatronics.
SISTEM PERAMALAN HASIL PRODUKSI JAGUNG DI KABUPATEN SUMENEP DENGAN PENDEKATAN JARINGAN SYARAF TIRUAN BACKPROPAGATION Dafid, Ach; Sukri, Hanifudin; Sholeh, Mahrus
Jurnal Simantec Vol 12, No 2 (2024): Jurnal Simantec Juni 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i2.26036

Abstract

Forecasting is an attempt to predict future conditions by testing past data. This forecasting is carried out on corn harvest results based on previous corn harvest data including land area, harvest area, and productivity, using the Backpropagation Artificial Neural Network forecasting system. Because the amount of corn harvest data in Sumenep Regency is very complex and changing, the backpropagation method is very suitable to be applied because it is able to handle complex and changing data. The data used in this study were collected from the book “Sumenep in Figures”. The corn production data used were from 2011 to 2023. The results of the study showed that in the scenario of varying the number of learning rates with values of 0.001, 0.2, 0.4, and 0.8, it was found that the smaller the learning rate in the Backpropagation Artificial Neural Network, the better the MSE value in the validation process. The MSE value from the results of testing learning rates of 0.001, 0.2, 0.4, and 0.8 is 0.008998. In the scenario of varying the number of iterations of 100, 500, and 1000, it is concluded that the more iterations in the Backpropagation Neural Network training, the better the MSE value in the validation process. The prediction results in the 2024 corn harvest test showed good and accurate results with a predicted value per June of 336 tons and a monthly error value of 0.0256 so that the prediction results were higher than the actual data.Keywords: ANN, Backpropagation, Forcasting System, Maize.
Co-Authors Achmad Fiqhi Ibadillah Adi Kurniawan Adi Kurniawan Saputro Andharini Dwi Cahyani Doni Abdul Fatah Faikul Umam Fifin Ayu Mufarroha Firmansyah Adiputra Firmansyah Adiputra Hairil Budiarto Ika Oktavia Suzanti Izzuddin Khusnul Fatimah Kukuh Winarso Kurniawan, Denni Morshed, Md. Monzur Ponco Siwindarto Rullie Annisa Sholeh, Mahrus Siswojo, Bambang Sitepu Debora , Ribka Sudianto, Achmad Imam Sukri, Hanifudin Sumarto SUTIKNO Thinakaran, Rajermani Triwidyaningrum, Vivi Weny Findiastuti Ziyyad Yassar