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All Journal JSM (Jurnal SIFO Mikroskil) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of Robotics and Control (JRC)
Syahrul Syahrul
Universitas Komputer Indonesia
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mechanical Engineering

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 1 
Mixing and controlling the pH of citrate and phosphate with website Syahrul Syahrul; Ilham Komarujaman
Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2494

Abstract

In this study built an instrument capable of mixing and controlling chemical pH of citrate solution and phosphate solution as buffer solution. The problem often experienced in mixing chemicals is a matter of safety and the accuracy of the concentration of the mixing of the substance. The function of this instrument is to mix and control the pH of the citrate and phosphate solution. It is hoped that in the presence of this instrument, the manufacture of citrate solutions and phosphate solutions can be carried out electronically which does not involve manual calculations to obtain the desired pH of the solution, and is relatively safe from direct contact with chemicals. This instrument is built using a pH sensor as the sensing pH value of the solution to be made. And as a controller used microcontroller. Results of pH control other than can be stored in the database, can also be transmitted to the internet (website) using a wifi interface device. Mixers and pH controls of citrate and phosphate have been realized and resulted in good pH control.
Sistem Penjejak Posisi Obyek Berbasis Umpan Balik Citra Syahrul Syahrul; Andi Kurniawan
Jurnal SIFO Mikroskil Vol 13, No 1 (2012): Volume 13 Nomor 1 Tahun 2012
Publisher : Fakultas Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2540.19 KB) | DOI: 10.55601/jsm.v13i1.42

Abstract

Makalah ini memaparkan hasil penelitian tentang Perancangan dan Realisasi Sistem Penjejak (tracking) Posisi Obyek dengan Menggunakan Bantuan Pemrosesan Citra. Keberadaan benda dideteksi oleh sensor visual. Pengambilan citra benda dilakukan dengan mengkondisikan perubahan parameter tertentu terhadap benda yang diamati. Penelitian ini bertujuan untuk membangun sebuah sistem pendeteksian keberadaan benda dengan menggunakan kamera sebagai sensor visual. Metode yang digunakan adalah dengan memanfaatkan pemrosesan citra (image processing) untuk melakukan pendeteksian keberadaan benda yang akan disorot dan diikuti laser pointer yang dikendalikan oleh mikrokontroler. Kamera yang terhubung dengan komputer melalui kabel USB akan melakukan capture pada benda yang berada di sebuah plant. Citra hasil capture diproses oleh aplikasi image processing menggunakan pemrograman Delphi untuk menghasilkan data koordinat yang akan menentukan keberadaan benda pada plant. Data koordinat akan dikirimkan ke mikrokontroler untuk menggerakkan laser pointer dengan menggunakan motor stepper. Ketepatan posisi penjejakan laser pointer terhadap benda akan ditunjukkan oleh titik koordinat X dan Y yang diperoleh dari hasil pemrosesan citra.
Development of Laboratory Equipment Inventory System Using Radio Frequency and Internet of Things Mochamad Fajar Wicaksono; Syahrul Syahrul; Myrna Dwi Rahmatya
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 2 (2021): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i2.21114

Abstract

The purpose of this research is to create a laboratory equipment inventory system. With this system, users, namely lecturers, lab assistants, and final project students, can find out the borrower's data, borrowing time, return time, and the tool availability status. The research method used is experimental. This system is based on IoT technology. The main brain from the hardware side uses the NodeMCU ESP8266. NodeMCU, apart from being a controller, can also function as a WiFi module. On the server-side, PHP and MySQL are used. When the user wants to borrow a tool, the user can use an RFID tag to open the cupboard. Furthermore, the NodeMCU will continue to scan for the presence of items in the cupboard using a radio frequency with RF433MHz. This information is sent to the server when the cupboard is closed and locked automatically. The server will receive the information and decipher the information. As a result, the testing process in this study proved that the system has been able to detect the presence of items in the cupboard and track anyone who borrows laboratory equipment with a 100% success percentage.
Application of the Machine Learning Method for Predicting International Tourists in West Java Indonesia Using the Averege-Based Fuzzy Time Series Model Sri Nurhayati; Syahrul Syahrul; Riani Lubis; Mochamad Fajar Wicaksono
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.v9i1.25475

Abstract

The purpose of this study is to propose whether an average-based fuzzy time series model is appropriate for use in predicting the number of foreign tourists coming to West Java, Indonesia. Machine learning is a branch of artificial intelligence where machines are designed to learn on their own without human direction. One of the machine learning methods used by data science is for prediction processes, such as predicting the number of tourists. Tourism is one of the economic sectors that has a direct impact on the community's economy. Based on data from the Badan Pusat Statistik (BPS), the number of tourists coming to West Java Indonesia fluctuates, meaning that the number can increase and decrease every month and year. Changes in the number of tourists that fluctuate are one of the problems that have an impact on tourism actors. Therefore, the solution given to answer this problem is that an appropriate model is needed to predict the number of tourists visiting West Java. The contribution of this research is to help related parties in predicting the number of foreign tourists so that it can be used as one to make policies related to tourism preparation and planning efforts in West Java, Indonesia.  The method used in this research is a case study approach, where the case study is taken from data on foreign tourists visiting West Java from 2017 to 2020. For the prediction process, the method used is the fuzzy time series method and the average length-based algorithm as the determinant of the interval length. Effective interval length can affect prediction results with a higher level of accuracy. Based on the prediction test results, the Mean Absolute Percentage Error (MAPE) value is 14.71%. These results indicate that the fuzzy time series model based on the average interval length is good for prediction.
Interactive Solar System Learning Media Using the Raspberry Pi 3B Mochamad Fajar Wicaksono; Myrna Dwi Rahmatya; Syahrul Syahrul; Sri Nurhayati
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.v9i2.25948

Abstract

The current learning solar system process uses solar system props. This research aimed to create an interactive solar system learning tool for elementary school students. With this tool, students can learn about the planets in the solar system in learning mode. In addition, there is a question mode to test students' knowledge abilities. This research's contribution was to provide an engaging way for sixth-grade elementary school students to learn about and recognize the planets in the solar system. The method used in this research is the experimental method. The primary part of this system is the Raspberry Pi. In this tool, there are two modes: learning mode and question mode. The learning mode involves the input button for eclipse mode and the LDR sensor as a trigger for activating the DC motor and reading solar system material using gTTS. The question mode involves a question bank on the web application, gTTS for reading questions, and speech recognition for processing answers given by students.   The teacher can add, change, or delete questions and learning materials through the web application. The test on the learning tool is 100% successful. In learning mode, the device can read input from the LDR sensor and provide sound output, and in question mode, the device will ask questions, receive answers in voice form and then process the response based on program scenarios. On the other side, Based on UAT results from 20 sixth-grade elementary school student,  95.14% of student agreed that solar system learning media and quiz features make the learning process more engaging, easy to use, help students understand solar system material, and can be used as a learning tool.
Co-Authors Andi Kurniawan Ilham Komarujaman Mochamad Fajar Wicaksono Myrna Dwi Rahmatya Riani Lubis Sri Nurhayati Wicaksono, Mochamad Fajar