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PEREDAMAN OSILASI GETARAN PADA SUATU SISTEM DENGAN PEMODELAN PEGAS-DAMPER MENGGUNAKAN KENDALI LOGIKA FUZZY Nazrul Effendy; Singgih I Kurniawan; Intan Putri K; Nor Agny Susetyo Utami
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 3 (2008): Intelligent System dan Application
Publisher : Jurusan Teknik Informatika

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

Abstract

Osilasi pada sistem yang tidak diharapkan sangat mengganggu terutama untuk efek kenyamanan yang dirasakan oleh manusia. Sistem yang dimodelkan dengan pegas-damper akan mempunyai respon ketika diberi gaya luar. Respon tersebut adalah osilasi dari sistem yang akan  membutuhkan waktu untuk mencapai keadaan steady state. Jika respon steady state bisa dipercepat dengan menghilangkan osilasi dari sistem seoptimal mungkin maka getaran dapat direduksi. Hal ini dapat dilakukan dengan pemilihan bahan yang memiliki koefisien pegas-damper yang sesuai. Tentu saja ini akan membutuhkan cost yang tinggi. Sistem pengendali logika Fuzzy akan mengontrol aktuator yang berupa pegas yang memberikan gaya yang berlawanan dengan pegas pada sistem. Respon pada pegas aktuator didasarkan pada respon output sistem yang dijadikan input Fuzzy Logic Controller dan kemudian mengontrol aktuator sehingga akan mendapatkan respon steady state dengan respon waktu yang diharapkan.
Pengaruh Penggunaan Pemancar-penerima pada Controller Area Network R Mochammad Affan Bagus Satria; Awang Noor Indra Wardana; Nazrul Effendy
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 2: July 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (823.527 KB) | DOI: 10.25077/jnte.v9n2.769.2020

Abstract

Controller Area Network (CAN) is a communication network protocol that has been used in various fields as in automotive system to the industrial process. Input/output module as the CAN node in the network can be located nearby or distant from the controller. On the other hand, the CAN network must be designed to reduce the wiring harness significantly with latency as short as possible. CAN protocol can be built with and without the transceiver component. Analysis of the performance of both types of CAN network is conducted to know the exact distance to use transceiver. This research was conducted to analyze the impact of the transceiver on the latency of the CAN system, within the bus length variation. The transceiver and cable length variation were used as the factors of the statistical test that was conducted as the data analysis method in the research. The bus length varies from 50 m, 55 m, 60 m, 65 m, to 70 m. The two-way analysis of variance test and Tukey contrast test were used with a significance level of 0.05. There are three results of the two-way analysis of variance test, showing that significant differences have occurred on the effect of the transceiver, the bus length variation, and interaction between them, giving a p-value of 0.0003, 0.0008, and 0.0034 respectively. The results of the Tukey contrast test have shown that the latency of CAN systems without transceiver does not differ significantly on less than 65 m cable length. The analysis has concluded that the CAN system can well function without transceiver which is the cable length is less than 65 m.Keywords : CAN, communication protocol, cable length variation, latency AbstrakController Area Network (CAN) merupakan suatu protokol jaringan komunikasi yang telah digunakan pada berbagai bidang seperti sistem kendaran bermotor sampai sistem industri proses. Modul masukan/keluaran sebagai node dalam jaringan CAN dapat terletak berdekatan dengan pengendali atau jauh dari pengendali. Di sisi lain, jaringan CAN harus memiliki sistem pengkabelan yang sederhana dan waktu latensi yang singkat. Jaringan komunikasi CAN dapat dibangun dengan menggunakan pemancar-penerima dan tanpa pemancar-penerima. Analisis performa dari kedua jaringan tersebut dilakukan untuk mengetahui pada panjang kabel berapa komponen pemancar-penerima dibutuhkan. Dalam penelitian ini, dilakukan analisis dari pengaruh komponen pemancar-penerima terhadap parameter latensi, dalam panjang kabel yang bervariasi. Terdapat dua faktor dalam melakukan analisis data, yaitu faktor komponen pemancar-penerima dan faktor variasi panjang kabel pada 50 m, 55 m, 60 m, 65 m, dan 70 m. Metode yang diimplementasikan dalam melakukan analisis data adalah uji analisis variasi dua jalur dan uji kontras Tukey, dengan tingkat signifikansi sebesar 0,05. Uji analisis variasi dua jalur memberikan tiga hasil nilai-p dari pengaruh pemancar-penerima, pengaruh variasi panjang kabel, serta interaksi dari keduanya, yaitu berturut-turut sebesar 0,0003, 0,0008, dan 0,0034. Hasil tersebut lebih kecil dari tingkat signifikansi yang digunakan, sehingga dapat ditarik kesimpulan bahwa komponen pemancar-penerima serta variasi panjang kabel mempengaruhi nilai latensi sistem secara signifikan. Hasil uji Tukey juga menunjukan bahwa selama panjang kabel kurang dari 65 m, latensi dari jaringan CAN tanpa pemancar-penerima tidak berbeda secara signifikan. Hasil analisis tersebut menunjukan bahwa bahwa jaringan CAN tanpa pemancar-penerima dapat digunakan dengan baik selama panjang kabel kurang dari 65 m.Kata kunci : CAN, protokol komunikasi, variasi panjang kabel, latensi
Intermittent Oscillation Diagnosis in a Control Loop Using Extreme Gradient Boosting Dana Fatadilla Rabba; Awang Noor Indra Wardana; Nazrul Effendy
JURNAL NASIONAL TEKNIK ELEKTRO Vol 11, No 3: November 2022
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v11n3.1040.2022

Abstract

The control loop in the industry is a component that must be maintained because it will determine the plant's performance. Most industrial controllers experience oscillations with various causes, such as noise, oscillation, backlash, dead band, hysteresis, random variation, and poor controller tuning. The oscillation diagnosis system, which can understand the oscillation type characteristics, is built based on machine learning because it is dynamic and not based on specific rules. This study developed an online oscillation diagnosis program using the extreme gradient boosting (XGBoost) method. The data was obtained through the simulation of the Tennessee Eastman process. The data is segmented on specific window sizes, and then time series feature extraction is performed. The extraction results are then used to build an XGBoost model capable of performing oscillation diagnosis tasks. There are seven types of oscillations tested in this study. The model that has been made is implemented online with the help of sliding windows. The results show that the XGBoost model performs best when the data window size is 100, with the accuracy performance and the F1 score of the model in classifying the type of oscillation being 0.918 and 0.905, respectively. The model can detect the type of oscillation with an average diagnosis time of 712 seconds on diagnostic tests.
Finger vein identification system using capsule networks with hyperparameter tuning Vandy Achmad Yulianto; Nazrul Effendy; Agus Arif
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i4.pp1636-1643

Abstract

Safety and security systems are essential for personnel who need to be protected and valuables. The security and safety system can be supported using a biometric system to identify and verify permitted users or owners. Finger vein is one type of biometric system that has high-level security. The finger vein biometrics system has two primary functions: identification and verification. Safety and security technology development is often followed by hackers' development of science and technology. Therefore, the science and technology of safety and security need to be continuously developed. The paper proposes finger vein identification using capsule networks with hyperparameter tuning. The augmentation, convolution layer parameters, and capsule layers are optimized. The experimental results show that the capsule network with hyperparameter tuning successfully identifies the finger vein images. The system achieves an accuracy of 91.25% using the Shandong University machine learning and applications-homologous multimodal traits (SDUMLA-HMT) dataset.
Edukasi Bahaya Kecanduan Smartphone dan Tips Menjaga Kesehatan Mata pada Siswa SD Negeri 1 Sikunang, Wonosobo Al Birru, Muhammad Ismail; Dewi, Wulan May Kusuma; Effendy, Nazrul; Solekhah, Tiara Yosianti
Wikrama Parahita : Jurnal Pengabdian Masyarakat Vol. 8 No. 1 (2024): Mei 2024
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jpmwp.v8i1.7269

Abstract

Bermula sejak berlakunya peraturan Kegiatan Belajar Mengajar secara daring pada saat masa pandemi Covid-19, intensitas penggunaan smartphone di kalangan pelajar terutama di jenjang sekolah dasar makin sering. Berdasarkan hasil observasi dan wawancara dengan Kepala Sekolah SD Negeri 1 Sikunang, Wonosobo diketahui bahwa beberapa siswa di SD tersebut sudah kecanduan terhadap smartphone. Kegiatan pengabdian ini bertujuan untuk mengetahui hubungan antara pengetahuan smartphone dan kesehatan mata dengan kecanduan smartphone untuk mengetahui dampak pemberian edukasi memiliki pada siswa kelas 4 dan 5 SD Negeri 1 Sikunang. Kegiatan pengabdian ini berupa edukasi dengan metode ceramah, diskusi, tanya jawab, dan sesi permainan berkelompok. Instrumen pengabdian masyarakat yang digunakan adalah kuesioner SAS-SV, pre test, dan post test. Partisipan berjumlah 35 siswa kelas 4 dan 5 SD Negeri 1 Sikunang. Untuk kelas 4, pada hasil uji Fisher’s Exact menghasilkan sig 1,0>0,05 artinya tidak terdapat hubungan antara penge­tahuan smartphone dan kesehatan mata dengan kecanduan smartphone pada siswa kelas 4 SD Negeri 1 Sikunang. Pada hasil uji Chi Square kelas 5, diperoleh sig 0,021<0,05 sehingga terdapat hubungan antara pengetahuan smartphone dan kesehatan mata dengan kecanduan smartphone pada siswa kelas 5 SD Negeri 1 Sikunang. Pada uji Wilcoxon Signed Rank, kelas 4 dan kelas 5 masing-masing menghasilkan sig 0,014 dan 0,038 di mana keduanya kurang dari 0,05 sehingga diperoleh hasil bahwa pemberian edukasi memiliki dampak positif yang signifikan pada siswa kelas 5 dan 4 SD Negeri 1 Sikunang.
The prediction of thermal sensation in building using support vector machine and extreme gradient boosting Effendy, Nazrul; Abiyu Fadhilah, Muhammad Zhafran; Kraton, Danang Wahyu; Abrar, Haidar Alghazian
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp2963-2970

Abstract

The building has great potential for energy savings as one of the locations that humans often occupy. In addition to energy efficiency, humans must consider environmental sustainability and the comfort of the building's occupants. Conditioning of indoor air quality, including those related to thermal comfort, continues to be pursued to be more economical, one of which is to utilize the prediction of occupants' thermal sensations. The prediction results can be utilized to adjust room air conditions more economically. This paper proposes using extreme gradient boosting (XGBoost) and support vector machine (SVM) to predict the thermal sensation in the building. The built environment parameters are preprocessed, and the thermal sensation is predicted by intelligent systems. The ten variables that most influence the level of accuracy of this thermal sensation prediction system are thermal preference vote, indoor operative temperature, Griffith's neutral temperature, indoor globe temperature, mean radiant temperature, Indoor air temperature, predicted mean vote, and outdoor mean temperature. SVM with four features, XGBoost and XGBoost with hyperparameter tuning, achieve an accuracy of 99.45%, 97.81%, and 98.08%, respectively. Regarding computational complexity, training an SVM system with the same number of features requires a shorter time than XGBoost training. The same thing also happened with the test of the SVM system, which required a shorter time compared to the time for the examination of the XGBoost system.
Hand gesture-based automatic door security system using squeeze and excitation residual networks Prihanto, Surya; Effendy, Nazrul; Nopriadi, Nopriadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1619-1624

Abstract

Viruses can be transmitted in various ways; one spreads through airborne droplets or the touch of multiple objects. This can occur in any area, including the entrance to the house or access to a room or deposit box. The spread of viruses that cause diseases like COVID-19 has caused many human casualties, and there is still the possibility of similar conditions appearing in the future. Several things need to be done to reduce the chances of spreading disease due to viruses, including developing contactless security support methods. This paper proposes a security system using hand gesture recognition using squeeze and excitation residual networks (SE-ResNet). This research offers a hand gesture recognition system for an automatic door system using SE-ResNet and the residual network (ResNet).
A design of a brain tumor classifier of magnetic resonance imaging images using ResNet101V2 with hyperparameter tuning Maulana Zein, Rhendiya; Effendy, Nazrul; Basuki, Endro; Nopriadi, Nopriadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3141-3146

Abstract

Brain tumors are a disease that is quite dangerous and requires severe treatment. One thing that is quite important is the process of diagnosing the brain tumor. This diagnosis process requires intense attention, and differences in interpretation may arise. Machine learning has been used in several fields, including disease diagnosis. This paper proposes an intelligent diagnostic tool for brain tumors using ResNet101v2. ResNet101V2 is used to classify meningioma, glioma, pituitary, and normal from magnetic resonance imaging (MRI) images. This research includes data collection, data preprocessing, ResNet101v2 design and evaluation. We investigate three models of ResNet101v2 for brain tumor classification. The best model achieves an accuracy of 96.2%.
Digital technology utilization and library's role in religious literacy Nafisah, Syifaun; Rohaya, Siti; Effendy, Nazrul
Jurnal Kajian Informasi dan Perpustakaan Vol 12, No 1 (2024): Accredited by Ministry of Education, Culture, Research and Technology of the Re
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkip.v12i1.52136

Abstract

Pesantren is an Islamic education institution widely available in Indonesia. Various issues, such as intolerance to radicalism related to Pesantren, have emerged. Pesantren has made multiple efforts to stem this issue, one of which is through religious literacy activities. The image of Santri, who has low information literacy skills, is also allegedly one of the factors that prompted the emergence of these issues. This research aimed to explore the use of digital technology in religious literacy activities in Pesantren Thawalib Parabek in West Sumatra. This study also examined libraries' role in religious literacy activities in Pesantren. This study used qualitative research with a field study approach and used primary data from interviews, observation, and documentation. The secondary data was collected from Pesantren documents. This study conducted credibility, transferability, dependability, and confirmability tests using triangulation and audit techniques to ensure the validation of research data. Pesantren utilized digital technology products in religious literacy activities. These products included web-based applications, social media, and live-streaming media. This media aimed to promote, document, and disseminate activity information. The library has a vital role in literacy activities in Pesantren, namely as a place, mediator, facilitator, and contributor who provides the information sources needed for these activities. Pesantren faces internal obstacles in using digital technology due to limitation policies on the use of technology in the Pesantren environment. To overcome these obstacles, the government can collaborate with libraries to carry out religious literacy activities in Pesantren.
Determinants of User Acceptance of the Digilib Application at the UIN Sunan Kalijaga Yogyakarta Library Jihan Dhiya Faridah; Nafisah, Syifaun; Nazrul Effendy
Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan Vol 12 No 2 (2024): December
Publisher : Program Studi Ilmu Perpustakaan UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/kah.v12i2a2

Abstract

The Digilib application represents an innovative library service aimed at extending access to a wider community. However, its utilization remained low, prompting this study to examine the factors influencing the acceptance of digital library technology. This research employed a quantitative design with a correlational approach, analyzing data collected from 68 Library Science students at UIN Sunan Kalijaga Yogyakarta through questionnaires. The primary data were processed using SmartPLS 3 to evaluate dimensions of the Technology Acceptance Model (TAM), including Perceived Ease of Use, Perceived Effectiveness, Attitude Toward Use, Behavioral Intention to Use, and Actual System Usage. The findings revealed that user acceptance of the Digilib application was significantly influenced by factors such as Digilib’s branding, its flexibility in integrating with external information sources, the quality of information provided, and its user-friendly design. Enhancing these aspects could improve the adoption rate of the Digilib application, thereby enabling libraries to achieve their goal of extending services to a broader audience.