Article Per Year (5 Year)
p-Index From 2021 - 2026
0.983
P-Index
This Author published in this journals
All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology TRANSIENT: Jurnal Ilmiah Teknik Elektro CommIT (Communication & Information Technology) JURNAL ISTEK Proceeding of the Electrical Engineering Computer Science and Informatics JTERA (Jurnal Teknologi Rekayasa) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Al-Khidmat : Jurnal Ilmiah Pengabdian Kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Teknika JKP (Jurnal Kajian Pemerintah: Journal of Government Social and Politics) Jurnal Pengabdian Pada Masyarakat Eldimas
Nanang Ismail
UIN Sunan Gunung Djati Bandung
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

Published : 30 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 30 Documents
Search

 1   2   3 
Artificial Neural Network Based Fast Edge Detection Algorithm for MRI Medical Images Teddy Surya Gunawan; Iza Zayana Yaacob; Mira Kartiwi; Nanang Ismail; Nor Farahidah Za'bah; Hasmah Mansor
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 1: July 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i1.pp123-130

Abstract

Currently, magnetic resonance imaging (MRI) has been utilized extensively to obtain high contrast medical image due to its safety which can be applied repetitively. Edges are represented as important contour features in the medical image since they are the boundaries where distinct intensity changes or discontinuities occur. Many traditional algorithms have been proposed to detect the edge, such as Canny, Sobel, Prewitt, Roberts, Zerocross, and Laplacian of Gaussian (LoG). Moreover, many researches have shown the potential of using Artificial Neural Network (ANN) for edge detection. Although many algorithms have been conducted on edge detection for medical images, however higher computational cost and subjective image quality could be further improved. Therefore, the objective of this paper is to develop a fast ANN based edge detection algorithm for MRI medical images. First, we developed features based on horizontal, vertical, and diagonal difference. Then, Canny edge detector will be used as the training output. Finally, optimized parameters will be obtained, including number of hidden layers and output threshold. Results showed that the proposed algorithm provided better image quality while it has faster processing time around three times time compared to other traditional algorithms, such as Sobel and Canny edge detector.
Development of Photo Forensics Algorithm by Detecting Photoshop Manipulation using Error Level Analysis Teddy Surya Gunawan; Siti Amalina Mohammad Hanafiah; Mira Kartiwi; Nanang Ismail; Nor Farahidah Za'bah; Anis Nurashikin Nordin
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 1: July 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i1.pp131-137

Abstract

Nowadays, image manipulation is common due to the availability of image processing software, such as Adobe Photoshop or GIMP. The original image captured by digital camera or smartphone normally is saved in the JPEG format due to its popularity. JPEG algorithm works on image grids, compressed independently, having size of 8x8 pixels. For unmodified image, all 8x8 grids should have a similar error level. For resaving operation, each block should degrade at approximately the same rate due to the introduction of similar amount of errors across the entire image. For modified image, the altered blocks should have higher error potential compred to the remaining part of the image. The objective of this paper is to develop a photo forensics algorithm which can detect any photo manipulation. The error level analysis (ELA) was further enhanced using vertical and horizontal histograms of ELA image to pinpoint the exact location of modification. Results showed that our proposed algorithm could identify successfully the modified image as well as showing the exact location of modifications.
Prototype Design of Smart Home System using Internet of Things Teddy Surya Gunawan; Intan Rahmithul Husna Yaldi; Mira Kartiwi; Nanang Ismail; Nor Farahidah Za'bah; Hasmah Mansor; Anis Nurashikin Nordin
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 1: July 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i1.pp107-115

Abstract

Smart home control system can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. However, it is still an open problem due to difficulties such as network distance, signal interference, not user friendly, increased cost and power consumption. This paper reviews various topics on smart home technologies including control system, smart home network, smart home appliance and sensor technologies for smart home. In this research, the proposed prototype of home automation allows users to remotely switch on or off any household appliance based on Internet of Things (IoT) with the enhancement of solar charger. The smartphone and/or tablet replaces the manual use of personal computer without the need for high additional cost. This prototype uses four types of sensors i.e. PIR sensor, temperature sensor, ultrasonic sensor and smoke gas sensor for automatic environmental control and intrusion detection.
Implementation of Fuzzy Logic Control System on Rotary Car Parking System Prototype Nanang Ismail; Iim Nursalim; Hendri Maja Saputra; Teddy Surya Gunawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp706-715

Abstract

Rotary car parking system (RCPS) is one of the effective parking models used in the metropolitan area because the mechanical parking system is designed vertically to conserve the land usage. This paper discussed the implementation of fuzzy logic with the Sugeno Inference Model on the RCPS miniature control system. The research started with kinematics analysis and a mathematical model was derived to determine the slot position and optimal power requirements for each condition. Furthermore, the Fuzzy Inference model used was the Sugeno Model, taking into account two variables: distance and angle. These two variables were selected because in the designed miniature RCPS there will be rotational changes of rotation and rotation in turn. Variable distance was divided into four clusters, such as Zero, Near, Medium and Far. While the angle variables were divided into four clusters as well, such as Zero, Small, Medium, and Big. The test results on a miniature RCPS consisting of six parking slots showed that fuzzy based control provided better results when compared to conventional systems. Step response on the control system without fuzzy control showed the rise time value of 0.58 seconds, peak time of 0.85 seconds, settling time of 0.89, percentage overshoot of 0.20%, and steady state error of 4.14%. While the fuzzy control system provided the rise time value of 0.54 seconds, settling time of 0.83 seconds, steady state error of 2.32%, with no overshoot.
Concealment of Files Blocked by Gmail with EOF-Based Image Steganography Ichsan Taufik; Undang Syaripudin; Faiz M. Kaffah; Jaka Giri Sobirin; Nanang Ismail; Teddy Surya Gunawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp716-721

Abstract

Nowadays, due to security concern, not all the process of sending files via email runs smoothly. There are several types of file extensions that are blocked when sent via email. For examples, there are several file extensions blocked by Gmail. This paper discusses steganographic implementation using End of File (EOF) algorithm to insert special file into image cover file with JPG and PNG format so that files with these extensions can be sent via email. Before a special extension file is inserted into the cover file, a compression process should be conducted first to make the file size smaller. The proposed algorithm is implemented on Visual Basic.Net software. Based on the tests performed, the application can insert Gmail-blocked file system to the image cover file, without changing the physical bit of the image cover file or file system that inserted with 100% success rate. The stego-image file is also successfully sent via email without being blocked.
Deriving equivalent structure of elements for low density parity check codes construction Jenjen Ahmad Zaeni; Fandy Ali Muzhofi; Cecep Solehudin; Khoirul Anwar; Nanang Ismail
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 1: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i1.pp144-156

Abstract

This paper proposes a method to derive equivalent coding structures of elements to construct low density parity check (LDPC) codes. We propose stairs LDPC (SLDPC) codes to demonstrate the effectiveness of the proposed method, which is expected to be beneficial for short block-length transmissions, but providing high coding rate. The equivalent coding structures are both for transmitter and receiver to: (i) reduce the encoding and decoding computational complexity, and (ii) search possibility of finding new coding scheme and observe their performances. We evaluate the validity of the method by confirming the equality in performances of the SLDPC codes in terms of bit-error-rate (BER) followed by investigation on their performance gaps to the Shannon limit via a series of computer simulations. The results show that the SLDPC codes have the same BER performance with that of the low density generator matrix (LDGM) codes confirming the validity of the proposed equivalent matrix derivation. This result indicates that different graphs can provide the same performances, because their equivalent matrices are the same. This result is expected to open new insight for the designing simple channel coding for short block-length LDPC codes having high coding rate for future less power consumption applications.
Three-axis flexible tube sensor with LSTM-based force prediction for alignment of electric vehicle charging ports Saputra, Hendri Maja; Pahrurrozi, Ahmad; Baskoro, Catur Hilman Adritya Haryo Bhakti; Nor, Nur Safwati Mohd; Ismail, Nanang; Rijanto, Estiko; Yazid, Edwar; Zain, Mohd Zarhamdy Md; Darus, Intan Zaurah Mat
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.1104

Abstract

This paper introduces a novel three-axis flexible tube sensor designed for force measurement in electric vehicle (EV) charging port alignment, utilizing long short-term memory (LSTM) networks. The research aims to develop and validate a flexible and accurate sensor system capable of predicting multi-axis forces during alignment. The sensor integrates a magnetic sensor at the center of a flexible tube to capture three-dimensional (3-D) magnetic field variations corresponding to force changes. Fabricated using thermoplastic polyurethane (TPU) via 3-D printing technology, the sensor leverages machine learning to predict force values along the , , and  axes ( , , ). Finite element method (FEM) analysis was conducted to assess the deflection characteristics of the flexible tube under various force conditions. Experimental results demonstrate that integrating LSTM significantly enhances the accuracy of force prediction, achieving an R² score exceeding 97 % for all axes, with mean squared error (MSE) values of 0.2819 for the -axis, 0.3567 for the -axis, and 2.8086 for the -axis. The sensor is capable of measuring forces up to 30 N without exceeding its elastic limits. These findings highlight the sensor’s potential for improving alignment accuracy and reliability in automated EV charging systems.
Development of Automatic Handwashing Facilities as a Hygiene Solution at Libasuttaqwa Foundation using the PAR Approach Ismail, Nanang; Sudirman, Eded
ELDIMAS: Jurnal Pengabdian Pada Masyarakat Vol 2 No 2 (2024): November 2024 - April 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/ejppm.v2i2.30

Abstract

The habit of handwashing is a fundamental effort to maintain public health and hygiene, especially in busy environments such as educational institutions and places of worship. The use of automatic sensor technology can enhance water usage efficiency and promote the habit of maintaining clean and healthy behavior. In this Community Service Program (PkM), the Libasuttaqwa Foundation in Subang was selected as a partner to develop an automatic handwashing device through a University-Community Partnership (KUM) approach and the Participatory Action Research (PAR) method. Activities within PAUD, DTA, majlis ta’lim, and mosque congregations under the Libasuttaqwa Foundation require measures to maintain health by providing automatic handwashing facilities supported by technology at various activity points. The program involved planning, device development, and evaluation carried out collaboratively with the community partners. Evaluation results indicate that the device is highly beneficial in supporting public health and has the potential to be further developed for use in other public facilities. Additionally, active involvement of the partners in the development process successfully enhanced their awareness and sense of ownership of the resulting technology.   Kebiasaan mencuci tangan merupakan salah satu upaya mendasar untuk menjaga kesehatan dan kebersihan masyarakat, terutama di lingkungan dengan aktivitas padat seperti pendidikan dan tempat ibadah. Pemanfaatan teknologi sensor otomatis dapat meningkatkan efisiensi penggunaan air dan mendukung pembiasaan perilaku hidup bersih. Dalam kegiatan Pengabdian kepada Masyarakat (PkM) ini, Yayasan Libasuttaqwa di Subang dijadikan mitra untuk mengembangkan perangkat cuci tangan otomatis melalui pendekatan Kemitraan Universitas dan Masyarakat (KUM) serta metode Participatory Action Research (PAR). Aktivitas di PAUD, DTA, majlis ta’lim, dan jama’ah masjid, yang berada dalam naungan Yayasan Libasuttaqwa, perlu dijaga agar kesehatan tetap terpelihara dengan menyediakan sarana cuci tangan otomatis dengan dukungan teknologi di beberapa titik aktivitas. Kegiatan melibatkan perencanaan, pengembangan perangkat, hingga evaluasi dilakukan bersama dengan masyarakat mitra. Hasil evaluasi menunjukkan bahwa perangkat ini sangat bermanfaat dalam mendukung kesehatan masyarakat dan berpotensi dikembangkan lebih lanjut untuk memenuhi kebutuhan di sarana umum lainnya. Selain itu, keterlibatan aktif mitra dalam proses pengembangan berhasil meningkatkan kesadaran serta rasa kepemilikan terhadap teknologi yang dihasilkan
SISTEM SMART HOME BERBASIS IoT DENGAN INTEGRASI PENGENDALIAN SUARA DAN APLIKASI SMARTPHONE Ismail, Nanang; Effendi, Mufid Ridlo; Evandi, Nathan Rizqi; Fakrurroja, Hanif
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 27, No 3 Juli (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.27.3.176-184

Abstract

Salah satu penerapan dari teknologi IoT adalah sebuah sistem smart home yang dapat mengendalikan penggunaan peralatan rumah tangga secara lebih praktis. Penelitian ini mengusulkan sistem smart home yang mengontrol peralatan rumah tangga berbasis Internet of Things (IoT). Sistem yang dirancang memanfaatkan mikrokontroler NodeMCU, basis data Firebase, dan aplikasi Android berbasis Flutter. Sistem yang diusulkan memiliki 4 fitur utama. Fitur pertama memungkinkan kontrol perangkat rumah tangga melalui perintah suara menggunakan Flutter Speech API yang mendukung komunikasi berbahasa Indonesia. Fitur yang dikembangkan mencakup pengendalian lampu, televisi, dan sound system. Fitur pengendalian berbasis perintah suara diuji dengan variasi jarak dan lingkungan ber-noise. Fitur kedua adalah fitur EcoMode yang berfungi untuk menyala-matikan lampu secara terjadwal. Fitur ini menggunakan Network Time Protocol (NTP) untuk menentukan waktu secara real-time tanpa modul Real Time Clock (RTC) tambahan. Fitur ketiga adalah fitur pemantauan konsumsi daya listrik menggunakan sensor arus SCT-013 yang diletakkan pada rangkaian breaker. Nilai daya diperoleh dengan mengalikan arus dengan tegangan 220V. Fitur keempat adalah fitur smart remote yang dapat mengendalikan peralatan rumah tangga melalui aplikasi pada smartphone layaknya remote control. Sistem smart home ini terbukti menawarkan efisiensi dan kemudahan pengelolaan perangkat rumah tangga dalam satu aplikasi.
Strategi Penguatan Integrasi JARLATSUH IPDN Untuk Meningkatkan Kompetensi Dan Karakter Praja Ismail, Nanang
Jurnal Kajian Pemerintah: Journal of Government, Social and Politics Vol. 11 No. 2 (2025): Oktober
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jkp.2025.vol11(2).25193

Abstract

This study outlines a strategy for strengthening the integration of Teaching, Training, and Nursing (Jarlatsuh) at IPDN to improve the competence and character of cadets (Praja). Based on program issues, overlapping calendars, and inconsistent standards, this study aims to demonstrate similarities in Jarlatsuh integration across policy, process, and outcomes; identify drivers/inhibitors; and design a measurable integrative strategy package. The method used was a sequential mixed methods approach: document audits, surveys of cadets and lecturers. Analysis was conducted using a shared view linking input, process, and output, accompanied by an USG (Urgency, Seriousness, and Growth) assessment for priority sorting. The results revealed three key findings: first, cross-functional coordination and interoperability of academic training and nursing data are weak, resulting in inconsistent character development; second, standard operating procedures (SOPs) and calendars are not synchronized across campuses; and third, performance monitoring focuses on compliance, rather than competency achievement. Recommendations: It is recommended to establish an IPDN Rector's Decree on the Establishment and Governance of an Integrated Jarlatsuh Data Warehouse. This policy creates a single official database for the assessment of teaching, training, care, and graduate tracking. With a single database, evaluations are integrated, and every improvement decision is based on the same, up-to-date, and easily traceable evidence.
Co-Authors Adam Faroqi, Adam Agung Prihantono Agung Wahana Alif Mukhron Amar Rizki Andrian, Deri Anis Nurashikin Nordin Arghifary, Muhamad Baskoro, Catur Hilman Adritya Haryo Bhakti Budi Haryanto Cecep Solehudin Darus, Intan Zaurah Mat Didiek S Wiyono Dimas Widyasastrena Dimas Widyasastrena, Dimas Edi Mulyana, Edi Edwar Yazid Effendi, Mufid Ridlo Eki Ahmad Zaki Hamidi Eko Joni Pristianto Estiko Rijanto Evandi, Nathan Rizqi Faiz M. Kaffah Fakrurroja, Hanif Fandy Ali Muzhofi Hasmah Mansor Hendri Maja Saputra Hendri Maja Saputra Ian Yosef ME Ichsan Taufik Iim Nursalim Innel Lindra Innel Lindra Intan Rahmithul Husna Yaldi Iza Zayana Yaacob Jaka Giri Sobirin Jati Fallat Jenjen Ahmad Zaeni Khoirul Anwar Lia Kamelia Lia Kamelia Lia Kamelia Maharoni Maharoni Maharoni Mira Kartiwi Mira Kartiwi MP Okyza, MP, Okyza, MP MP, Okyza Muhamad Arghifary Muhammad Iqbal Muhammad Kasim Lim Nor Farahidah Za'bah Nor, Nur Safwati Mohd Noreha Abdul Malik Okyza MP Pahrurrozi, Ahmad Pristianto, Eko Joni R Muhammad Ginanjar Ramadhan Syahyadin Rifa'i, Afaf Fadhil Rina Mardiati Rina Mardiati Rina Mardiati Rizka Jalaludin Ryan Permana Siti Amalina Mohammad Hanafiah Sudirman, Eded Teddy Surya Gunawan Teddy Surya Gunawan Teddy Surya Gunawan Titin Nurjanah Undang Syaripudin Widyasastrena, Dimas Yayi Suryo Prabandari Yuyu Wahyu Zain, Mohd Zarhamdy Md Zaki, Eki Ahmad