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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) ComEngApp : Computer Engineering and Applications Journal Jurnal Rekayasa Mesin Jurnal Energi Dan Manufaktur AUSTENIT Jurnal Mechanical Proceeding of the Electrical Engineering Computer Science and Informatics Science and Technology Indonesia Prosiding Seminar Nasional Teknoka Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Engineering and Science (IJES) Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Bulletin of Applied Mathematics and Mathematics Education Jurnal Pelita Sriwijaya Prosiding Seminar Nasional Unimus

Irsyadi Yani

Department Of Mechanical Engineering, Faculty Of Engineering, Sriwijaya University, Palembang, 30139, Indonesia

Author-ID : 2892444

Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Other

Published : 39 Documents Claim Missing Document

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Odor Localization using Gas Sensor for Mobile Robot Nyayu Latifah Husni; Ade Silvia Handayani; Siti Nurmaini; Irsyadi Yani
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

This paper discusses the odor localization using Fuzzy logic algorithm. The concentrations of the source that is sensed by the gas sensors are used as the inputs of the fuzzy. The output of the Fuzzy logic is used to determine the PWM (Pulse Width Modulation) of driver motors of the robot. The path that the robot should track depends on the PWM of the right and left motors of the robot. When the concentration in the right side of the robot is higher than the middle and the left side, the fuzzy logic will give decision to the robot to move to the right. In that condition, the left motor is in the high speed condition and the right motor is in slow speed condition. Therefore, the robot will move to the right. The experiment was done in a conditioned room using a robot that is equipped with 3 gas sensors. Although the robot is still needed some improvements in accomplishing its task, the result shows that fuzzy algorithms are effective enough in performing odor localization task in mobile robot.

IDENTIFICATION PLASTIC BOTTLE BASED ON LIGHTING SYSTEM Jhosua Arie Swandi; Irsyadi Yani
Indonesian Journal of Engineering and Science (IJES) Vol. 1 No. 1 (2020): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v1i1.1

The challenge in waste sorting systems such as plastic bottles is how to identify and classify the types of it. This work aims to build a system of identification and classification of sorting plastic bottles by type. This system uses the Backpropagation method by utilizing a webcam to get colors in the form of Red, Green, and Blue (RGB) color spaces. As light control, three types of lights are used, blue, red, and yellow. The three types of plastics that will be identified are PET, HDPE, and PP. The conclusion from this work is that the percentage of success is 18%, 28%, and 42 for yellow, blue, and red lighting, respectively.

EQUIPMENT DESIGN AND TESTING TRANSFER VOLTAGE REFERRING TO IEC 156 STANDARD USING VIRGIN COCONUT OIL (VCO) WITH OIL TEMPERATURE CONDITIONING Ansyori Ansyori; Irsyadi Yani; Eric Rahman
Indonesian Journal of Engineering and Science (IJES) Vol. 2 No. 2 (2021): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v2i2.17

Isolation is a separator between conductors in electrical equipment that prevents flashover, resulting in a short circuit or electrical failure. Isolation is critical in electrical appliances, exceptionally High Voltage Power Equipment (HVPE), to ensure the safety of circuit breakers, capacitors, and transformers. In addition to being an isolator, the insulating liquid material also serves to cool the heat generated by electrical appliances. Isolator with mineral oil-based transformer has various environmental issues, including non-biodegradability, non-renewability, and rarity. Because it is environmentally safe and extensively used, virgin coconut oil (VCO) is an alternative transformer oil insulation. This study aims to determine the properties of Virgin Coconut Oil (VCO) breakdown voltage using the IEC 156 standard and oil temperature conditioning. According to the test results, the oil breakdown voltage before heating (at room temperature) is 14 kV, which is much below the IEC 156 standard, and the breakdown voltage after heating at 90 ° is 35 kV, and 110 ° is 40 kV, which is even higher than the IEC 156 requirement

CHASSIS FRAME DESIGN AND ANALYSIS BASED ON FORMULA SAE JAPAN Irsyadi Yani; Amir Arifin; Ahmad Irham Jambak; Gunawan Gunawan; Dendy Adanta; Barlin Barlin
Indonesian Journal of Engineering and Science (IJES) Vol. 2 No. 2 (2021): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v2i2.19

Formula Society of Automotive Engineers (FSAE) is a competition where the students design, build, and race the formula-style car. In this competition, the regulation stringent for the safety of participants. Chassis is one of the regulated parts among the other parts. This paper examines design process followed by chassis analysis by using Solidworks 2018 and Abaqus/CAE 6.14 software. The analysis process is carried out with Static Vertical Test, Torsional Stiffness Test, and Crash Impact Test using a safety standard in the form of a safety factor that must be more than 1 (SF> 1) to ensure the safety of the driver. The aim is to obtain an optimum final design based on FSAE Japan regulation as a reference for the Universitas Sriwijaya electric car team, namely Sriwijaya Eco in making the framework for the upcoming electric formula car.

WORK SCHEDULING PROGRAM DESIGN FOR LECTURE ATTENDANCE CONTROL AND LECTURER WORKLOAD CALCULATION WITH FINGERPRINT AND RFID IDENTIFICATION DEVICE M.A. Ade Saputra; Amrifan Saladin Mohruni; Irsyadi Yani
Indonesian Journal of Engineering and Science (IJES) Vol. 2 No. 3 (2021): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v2i3.24

The essential factor in achieving a good learning process is discipline in the lecture process. Students and lecturers are encouraged to be disciplined and active participants in the lecture process, allowing the Lecturer's principal duty of transforming and disseminating science and technology to become more concentrated. Furthermore, to eliminate overlapping lecture schedules, lecture hours, and lecture venues that do not meet needs, it is easier for stakeholders to monitor and regulate lecturers' and students' lecture attendance so that quick and accurate decision-making can be done. To establish discipline in school utilizing biometric identification technology (fingerprints) and Radio Frequency Identification (RFID) technology, developing application software to make it easier to manage work schedules is required. The Work Scheduling program is an online application built with the PHP programming language, MySQL database, and fingerprint and RFID identification support devices that are expected to be effective and efficient tools in the process of scheduling lectures and recording lecture attendance of students and lecturers, making it easier to publish lecture schedules.

IDENTIFIKASI PLAT MOBIL DENGAN MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN KOHONEN PADA SISTEM PARKIR CERDAS Irsyadi Yani; Fadhian Fadhillah Siregar; Donny Sahala Tua Sitorus
Prosiding Seminar Nasional Teknoka Vol 4 (2019): Prosiding Seminar Nasional Teknoka
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

Masyarakat modern bepergian menggunakan kendaraan pribadi. Semakin banyaknya penggunaan kendaraan harus diimbangi dengan ketersediaan lahan parkir. Masalah ini dapat diatasi dengan membuat suatu system yang dapat mengetahui lokasi lahan parkir yang kosong untuk dapat di isi kendaraan. Identifikasi plat nomor menggunakan jaringan syaraf tiruan kohonen ini mempunyai beberapa tahapan, yaitu mobil yang memasuki lahan parkir akan melewati portal yang telah dipasangi webcam untuk mengambil citra dari mobil, lalu citra akan di resize dan melalui proses seperti grayscaling, vertical edge detection, dilasi, horizontal rank filter, lalu diperoleh lokasi plat nomor yang akan di identifikasi oleh program yang telah dibuat. Dilanjutkan dengan proses pemerataan latar belakang untuk memfokuskan program agar mendeteksi karakter dari plat nomor saja, tahap yang di lakukan pada proses ini antara lain adalah proses grayscaling, contrasting, binary, proses filter, dan membersihkan border dari plat. Selanjutnya proses mengekstraksi karakter satu per satu. Hasil di labelisasi itulah akan menjadi data inputan atau database untuk proses training, training menggunakan 3 sampel berbeda untuk setiap karakter nya. semakin banyak sampel semakin tinggi tingkat akurasi dari pembacaan program. Hasil dari uji coba program ini menghasilkan 65% keberhasilan mengenali pola huruf, 60% pola angka, dan 20% keberhasilan mengenali plat nomor dengan benar dari total percobaan 10 plat nomor.

Rancang Bangun Alat Penghancur Sampah Botol Plastik Kapasitas ±33 Kg/Jam Firmansyah Burlian; Irsyadi Yani; Ivfransyah; Jhosua Arie S
Prosiding Seminar Nasional Teknoka Vol 4 (2019): Prosiding Seminar Nasional Teknoka
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

Semakin bertambah jumlah sampah botol plastik setiap tahunnya meningkatkan kerusakan lingkungan, sehingga harus dilakukan pengolahan sampah botol plastik dengan cara didaur ulang. Salah satu proses pendaur ulangan adalah dengan cara dihancurkan sebelum dicairkan. Mesin penghancur sampah botol plastik yang dirancang berukuran (620 mm x 420 mm x 800 mm). Daya utama penggerak mesin menggunakan motor listrik 1 hp (746 watt) dengan putaran poros motor 1400 rpm. Kapasitas mesin yang dirancang sebesar ± 33 kg/jam sehingga membutuhkan putaran poros sebesar 126 rpm. Tipe pisau yang digunakan berdiameter 120 mm dengan bentuk cakram yang memiliki 4 pisau potong setiap ujungnya. Mesin menggunakan dua poros yang berputar dengan 7 buah pisau penghancur yang diletakkan setiap porosnya. Penelitian bertujuan untuk mengetahui waktu dan ukuran hasil potongan sampah botol plastik dengan tiga bentuk susunan yang akan dicoba menggunakan botol plastik seberat 1 kg. Bentuk pertama menghasilkan potongan berukuran 4,5-10 cm dengan waktu 108,22 detik. Bentuk kedua menghasilkan potongan berukuran 4-8,5 cm dengan waktu 112,19 detik. Bentuk ketiga memerlukan waktu 110,15 detik dengan ukuran 4,3-9 cm.

Analysis on swarm robot coordination using fuzzy logic Ade Silvia Handayani; Siti Nurmaini; Irsyadi Yani; Nyayu Latifah Husni
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp48-57

In this paper, coordination among individual of swarm robot in communicating to maintain the safe distance between robots was analyzed. Each robot coordinates their movements to avoid obstacles and moving simultaneously. Evaluation of swarm robot performance is analyzed in this paper, namely: the coordination among robots to share information in safe distance determination. In controlling the coordination of motion, each robot has a sensor that provides several inputs about its surrounding environment. Fuzzy logic control in this paper allows uncertain input, and produces unlimited commands to control motion direction with speed settings according to environmental conditions. In this experiment, it is obtained that the size of the environment affects the coordination of robots.

Performance Improvement of Decision Tree Model using Fuzzy Membership Function for Classification of Corn Plant Diseases and Pests Yulia Resti; Chandra Irsan; Muflika Amini; Irsyadi Yani; Rossi Passarella; Des Alwine Zayantii
Science and Technology Indonesia Vol. 7 No. 3 (2022): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Corn is an essential agricultural commodity since it is used in animal feed, biofuel, industrial processing, and the manufacture of non-food industrial commodities such as starch, acid, and alcohol. Early detection of diseases and pests of corn aims to reduce the possibility of crop failure and maintain the quality and quantity of crop yields. A decision tree is a nonparametric classification model in statistical machine learning that predicts target variables using tree-structured decisions. The performance of this model can increase significantly if the continuous predictor variables are discretized into valid categories. However, in some cases, the result does not provide satisfactory performance. The possible cause is the ambiguity in discretizing predictor variables. The incorporation of fuzzy membership functions into the model to resolve discretization ambiguity issues. This work aims to classify diseases and pests of corn plants using the decision tree model and improve the model’s performance by implementing fuzzy membership functions. The main contribution of this work is that we have shown a significant improvement in the decision tree model performance by implementing fuzzy membership functions; S-growth, triangle, and S-shrinkage curves. The proposed fuzzy model is better than the decision tree model, with an average performance increase from the largest to the smallest; kappa (12.16%), recall (11.8%), F-score (9.71%), precision (5.08%), accuracy (3.23%), specificity (1.94%), and AUC (0.49%). The combination of bias and variance generated by the proposed model is quite small, indicating that the model is able to capture data trends well.

Improved the Cans Waste Classification Rate of Naïve Bayes using Fuzzy Approach Yulia Resti; Firmansyah Burlian; Irsyadi Yani; Des Alwine Zayanti; Indah Meiliana Sari
Science and Technology Indonesia Vol. 5 No. 3 (2020): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Cans is one type of inorganic waste that can take up to hundreds of years to be decomposed on the ground so that recycling is the right solution for managing cans waste. In the recycling industry, can classification systems are needed for the sorting system automation. This paper discusses the cans classification system based on the digital images using the Naive Bayes method, where the input variables are the pixel values of red, green, and blue (RGB) color, and the image of the can is captured by placing it on a conveyor belt which runs at a certain speed. The average accuracy rate of the k-fold cross-validation which is less satisfactory from the classification system obtained using the original Naive Bayes model is corrected using the fuzzy approach. This approach succeeded in improving the average accuracy of the can classification system which was originally from 52.99% to 88.02% or an increase of 60.2%, where the standard deviation decreased from 15.72% to only 3%. Cans is one type of inorganic waste that can take up to hundreds of years to be decomposed on the ground so that recycling is the right solution for managing cans waste. In the recycling industry, can classification systems are needed for the sorting system automation. This paper discusses the cans classification system based on the digital images using the Naive Bayes method, where the input variables are the pixel values of red, green, and blue (RGB) color, and the image of the can is captured by placing it on a conveyor belt which runs at a certain speed. The average accuracy rate of the k-fold cross-validation which is less satisfactory from the classification system obtained using the original Naive Bayes model is corrected using the fuzzy approach. This approach succeeded in improving the average accuracy of the can classification system which was originally from 52.99% to 88.02% or an increase of 60.2%, where the standard deviation decreased from 15.72% to only 3%.

Co-Authors Ade Silvia Ade Silvia Ade Silvia Handayani Agung Mataram Ahmad Irham Jambak Akbar Teguh Prakoso Ali Amran Ali Syahbana Alwine Zayanti, Des Amir Arifin Amir Arifin Amrifan Saladin Mohruni Aneka Firdaus Ansyori Ansyori Ansyori Ansyori Ansyori Yani Anthony Costa Astuti - Astuti Astuti Bambang Suprihatin Barlin Barlin Barlin Barlin Barlin Oemar Chandra Irsan Chandra Irsan Chandra Irsan Dendy Adanta Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Des Alwine Zayantii Dewi Puspita Sari Dewi Puspitasari Dewi Puspitasari Dewi, Novi R. Dewi, Tresna Donny Sahala Tua Sitorus Eka Utami, Nurhabibah Paramitha Ekawati Prihatini Ellyanie Ellyanie Eric Rahman Fadhian Fadhillah Siregar Falah Yuridho Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Gunawan Gunawan Gunawan Gunawan Gunawan Gunawan gustini gustini Hasan Basri Hasan Basri helena astari Hoiri, Sajiril Husni, Nyayu Latifah Husni, Nyayu Latifah Indah Meiliana Sari Irmawan Irmawan Ismail Thamrin Ivfransyah Jeremy Firdaus Latif Jhosua Arie S Jhosua Arie Swandi Kaprawi Kaprawi Kresnawati, Endang S. Lugantha Perkasa M. A. Ade Saputra M.A. Ade Saputra MARWANI Marwani Marwani, Marwani Mega Tiara Putri MS, Firdaus Muflika Amini Muhammad Dahlan Muhammad Yanis Ning Eliyati Nova Yuliasari Novi Rustiana Dewi Nukman Nukman Nukman Nurhabibah Paramita Eka Utami Nyayu Latifah Husni Nyayu Latifah Husni, Nyayu Latifah Rahmayani, Mau’izatil Resnawati Rossi Passarella Saputra, M. A. Ade Saputra, M.A. Ade Setyo Cahyono, Endro Siti Nurmaini Sri Kresnawati, Endang Sulong, Abu Bakar Teguh Prakoso, Akbar Tresna Dewi Yuli Andriani Yulia Resti Zayanti, Des A. Zulkarnain Ali Leman Zulkarnain Zulkarnain Zulkarnain Zulkarnain

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