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All Journal Jurnal Informatika Jurnal Pilar Nusa Mandiri ILKOM Jurnal Ilmiah EXPLORE Journal Ilmiah Rinjani : Media Informasi Ilmiah Universitas Gunung Rinjani EXPLORE Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Kecerdasan Buatan dan Teknologi Informasi Explore Jurnal Informatika International Journal of Scientific Research Jurnal Perlindungan Masyarakat Bestuur Praesidium
Erfan Wahyudi
Institut Pemerintahan Dalam Negeri, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Wireless Penetration Testing Method To Analyze WPA2-PSK System Security And Captive Portal Erfan Wahyudi; Muhammad Masjun Efendi
Jurnal Explore Vol 9, No 1 (2019)
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/explore.v9i1.32

Abstract

One of the major changes in the telecommunications sector is the use of wireless technology. But many problems that must be faced when implementing this wireless network, one of which is a security problem. Many people are still questioning about wireless security, and many others believe that wireless security systems using WPA2-PSK are more secure than other wireless security systems. However, based on the results of literature studies conducted, a wireless security system that really can provide more secure security is to use the system security Remote Authentication Dial-In User Servers (RADIUS) server. While at present, many parties still use WPA2-PSK as their wireless security system to avoid the possibility of unauthorized use of internet access by unauthorized people. This study aims to analyze the comparison of the two wireless network security systems above. The test was performed using wireless penetration testing method, and the result stated that 80% of Security Captive Portal system is more secure than WPA2-PSK.
Optimalisasi Hasil Pengabdian Dosen Melalui Pembuatan Jurnal Abdimas Berbasis Open Journal System (OJS) di IPDN Kampus NTB Erfan Wahyudi
Jurnal Explore Vol 13, No 2 (2023): JULI
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/explore.v13i2.703

Abstract

Abstrak – Penelitian ini mencoba untuk membangun sebuah jurnal pengabdian masyarakat yang berbasis OJS di IPDN Kampus NTB yang dapat digunakan sebagai bentuk manajemen publikasi dan penerbitan artikel hasil pengabdian kepada masyarakat Dosen di IPDN Kampus NTB. Diharapkan dengan adanya OJS  ini dapat meningkatkan publikasi dan manajemen penerbitan secara elektronik serta sepenuhnya dilaksanakan dengan baik oleh author, editor maupun mitra bestari (reviewer) di lingkungan IPDN Kampus NTB. Metode yang digunakan dalam pengembangan sistem dalam penelitian ini adalah Metode Waterfall. Setelah penelitian dilaksanakan, hasilnya adalah IPDN Kampus NTB memiliki jurnal pengabdian masyarakat yang bisa digunakan untuk mempublikasikan jurnal dosen tersebut dapat meningkatkan KUM pada Penilaian Angka Kredit (PAK) untuk kenaikan pangkat dan laporan BKD Dosen setiap semesternya. Penerbitan perdana jurnal ini direncanakan pada Januari 2024 dan dapat menampung minimal 10 artikel dalam setiap edisi.Abstract - This research tries to build an OJS-based community service journal at IPDN NTB Campus which can be used as a form of publication management and publishing articles resulting from community service for lecturers at IPDN NTB Campus. It is hoped that this OJS can improve electronic publications and publishing management and be fully implemented well by authors, editors and bestari partners (reviewers) within the IPDN NTB Campus. The method used in system development in this research is the Waterfall Method. After the research was carried out, the result was that IPDN NTB Campus had a community service journal which could be used to publish lecturer journals which could increase the KUM in the Credit Score Assessment (PAK) for promotions and BKD Lecturer reports every semester. The first publication of this journal is planned for January 2024 and can accommodate a minimum of 10 articles in each edition. 
PENGGUNAAN TELEPON SELULER UNTUK MENINGKATKAN PEMBELAJARAN GURU DALAM DUNIA PENDIDIKAN Karya Gunawan; Ifik Arifin; Erfan Wahyudi
Explore Vol 7 No 1 (2017): Januari 2017
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v7i1.1

Abstract

Studi ini berfokus pada bagaimana “action learning set” membantu guru preservice (PST) menggunakan telepon seluler untuk meningkatkan perkembangan pedagogi mereka. Action learning set berbasis sekolah ini terdiri dari kelompok PSTs dialokasikan untuk lima sekolah yang berpartisipasi dalam studi. Selama enam Minggu PTS ini bekerja berpasangan untuk mengajar kelas selama dua jam per Minggu. Selama ini PSTs memiliki akses ke ponsel yang memiliki kamera inbuilt, Excel, Word, rekaman audio, rekaman video, internet, dan fitur email. Ponsel ini digunakan untuk mendukung dan menginformasikan pengajaran dari unitlingkungan pendidikan yang memiliki limbah fokus dan manajemen energi. Temuan menunjukkan bahwa action learning set menyediakan sarana untuk berkelanjutan dan ditargetkan pertumbuhan profesional. Ponsel memberi bukti pertumbuhan ini serta catatan dilema pengajaran yang muncul. Pesan SMS digunakan sebagai alat pendukung sebelum dan sesudah mengajar.
IMPLEMENTASI APLIKASI PEMBELAJARAN DARING BERBASIS WEB DI SMKN 1 SAKRA PADA MASA COVID-19 Erfan Wahyudi; Emi Suryadi; Nurul Yakin
Explore Vol 12 No 1 (2022): Januari 2022
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v12i1.83

Abstract

Perkembangan teknologi informasi memberikan pengaruh besar di berbagai bidang organisasi. Pada bidang Pendidikan, pemanfaatan teknologi telah banyak di terapkan oleh instansi Pendidikan yang ada. SMK Negeri 1 Sakra Merupakan salah satu instansi Pendidikan yang belum memanfaatkan perkembangan teknologi tersebut. Metode Pembelajaran yang di terapkan di SMK Negeri 1 Sakra adalah metode konvensional yang kegiatan belajarnya hanya di dalam kelas secara tatap muka dengan pengajar mata pelajaran pada waktu dan tempat yang sudah ditentukan. hal ini membuat para siswa merasa bosan dan kurang leluasa dalam mengekspresikan fikirannya dikarenakan adanya tekanan sebaya yang dirasakan ketika belajar bersama di dalam kelas. Untuk mengatasi permasalahan tersebut pada penelitian ini akan dibuatkan Aplikasi Pembelajaran daring Berbasis Web (E-Learning), agar proses pembelajaran di SMK Negeri 1 Sakra lebih efektif dan efesien serta lebih optimal. Dengan adanya metode sistem ELearning ini para siswa yang ada di SMK Negeri 1 Sakra dapat mengakses materi matapelajaran yang ditempuh dimana saja dan kapanpun untuk dipelajari serta guru yang mengajar juga tidak kesulitan dalam mendistribusikan materi pelajaran yang akan diajarkan pada siswa. Pembelajaran yang dilakukan ini juga diharapkan lebih menarik minat belajar siswa dan tidak membosankan. Hasilnya Sistem E-learning dapat membangun komunikasi antara siswa dan guru secara interaktif, dan dengan adanya sistem E-Learningini sebagai media pembantu dalam proses belajar mengajar menjadi lebih baik dan meningkat serta mendapatkan hasil yang cepat. Siswa dapat mengakses materi matapelajaran yang ditempuh dimana saja dan kapanpun untuk dipelajari serta Guru yang mengajar juga tidak kesulitan dan maksimal dalam mendistribusikan materi pelajaran yang akan diajarkan pada siswa
Implementasi Sistem E-Learning Sebagai Media Pembelajaran Daring pada Masa Covid-19 di SMAN 1 Montong Gading Erfan Wahyudi
Explore Vol 13 No 1 (2023): Januari 2023
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v13i1.104

Abstract

Pandemi Covid-19 merupakan keadaan tak terduga yang melanda hampir seluruh dunia. Dampak dari situasi ini terasa luas, termasuk pembatasan pada aktivitas berkelompok yang menjadi bagian rutin masyarakat. Salah satu aspek yang terpukul adalah proses belajar mengajar di sekolah. Tantangan muncul karena minimnya keterampilan guru dalam membangun kelas virtual untuk mendukung pembelajaran jarak jauh. Hal ini mengakibatkan berbagai hambatan dalam proses pembelajaran online, yang berpengaruh negatif baik pada guru maupun siswa. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan dan menerapkan e-learning sebagai alternatif dalam proses pembelajaran jarak jauh selama pandemi Covid-19. Penelitian ini dilakukan di SMAN 1 Montong Gading, Kabupaten Lombok Timur, dengan menerapkan model Project Based Learning. Hasil penelitian menunjukkan keberhasilan dalam membangun dan menerapkan sistem e-learning di SMAN 1 Montong Gading. Para guru yang mengikuti pelatihan juga berhasil mengembangkan keterampilan untuk merancang dan melaksanakan e-learning menggunakan aplikasi Learning Management System (LMS) dengan sangat baik selama masa pandemi Covid-19.
Implementasi E-Journal berbasis Open Journal System (OJS) untuk Meningkatkan Jumlah Publikasi Penelitian Dosen IPDN Kampus NTB Erfan Wahyudi
Explore Vol 14 No 1 (2024): Januari
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v14i1.110

Abstract

Penelitian ini bertujuan untuk membangun dan mengimplementasikan e-journal berbasis Open Journal System (OJS) untuk meningkatkan jumlah publikasi penelitian Dosen di IPDN Kampus NTB yang dapat digunakan sebagai bentuk manajemen publikasi dan penerbitan artikel hasil penelitian Dosen dan Praja di IPDN Kampus NTB. Diharapkan dengan adanya OJS ini dapat meningkatkan publikasi dan manajemen penerbitan secara elektronik serta sepenuhnya dilaksanakan dengan baik oleh author, editor maupun mitra bestari (reviewer) di lingkungan IPDN Kampus NTB. Metode yang digunakan dalam pengembangan sistem dalam penelitian ini adalah Metode Waterfall. Setelah penelitian dilaksanakan, hasilnya pembuatan website jurnal berbasis OJS berhasil dan siap untuk diterapkan serta melakukan proses penerbitan jurnal pada volume 1 tahun 2024. Abstract - This research aims to build and implement an e-journal based on the Open Journal System (OJS) to increase the number of lecturer research publications at the IPDN NTB Campus which can be used as a form of publication management and publishing articles resulting from research by Lecturers and Teachers at the IPDN NTB Campus. It is hoped that this OJS can improve electronic publications and publishing management and be fully implemented well by authors, editors and bestari partners (reviewers) within the IPDN NTB Campus. The method used in system development in this research is the Waterfall Method. After the research was carried out, the result was that the creation of an OJS-based journal website was successful and ready to be implemented and carry out the process of publishing the journal in volume 1 in 2024.
Crack Detection of Concrete Surfaces with A Combination of Feature Extraction and Image-Based Backpropagation Artificial Neural Networks Wahyudi, Erfan; Imran, Bahtiar; Subki, Ahmad; Zaeniah, Zaeniah; Samsumar, Lalu Delsi; Salman, Salman
ILKOM Jurnal Ilmiah Vol 16, No 3 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i3.2249.228-235

Abstract

Concrete surface imperfections can signify a structure undergoing severe degradation. It deteriorates when concrete is exposed to elemental reactions such as fire, chemicals, physical damage, and calcium leaching. Due to its structural degradation, concrete deterioration poses a risk to the surrounding environment. Structural buildings can collapse due to severe concrete decline. To prevent concrete cracks early, it is imperative to identify the concrete surface. This requires the development of a technique for detecting the image-based concrete surface. One way to detect concrete surfaces is to create artificial neural networks. The purpose of this study is to combine feature extraction and artificial neural networks to detect cracks in concrete surfaces. The data used is concrete surface image data divided into two classes, namely cracked class and uncracked class. The total data is 600 data points, 300 data points, and 300 data points. The technique used is feature extraction from GLCM and Backpropagation Artificial Neural Network. Test results using epoch five show 95% accuracy, epoch 10 shows 95% results, epoch 100 shows 83% accuracy, and epoch 250 shows 73% results. The test results that have been carried out show a decrease in lower accuracy results when the epoch is determined to be higher. The results of this study epoch that shows the highest accuracy results are epoch 5 with 95% accuracy and epoch 10 with 95% accuracy.
FINE-TUNING RESNET50V2 WITH ADAMW AND ADAPTIVE TRANSFER LEARNING FOR SONGKET CLASSIFICATION IN LOMBOK Wahyudi, Erfan; Imran, Bahtiar; Zaeniah; Erniwati, Surni; Karim, Muh Nasirudin; Muahidin, Zumratul
Jurnal Pilar Nusa Mandiri Vol. 21 No. 1 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i1.6485

Abstract

This study aims to develop a classification system for traditional Lombok songket fabric patterns using the ResNet50V2 architecture, optimized through fine-tuning and the AdamW optimizer. The data were collected directly from songket artisans in Lombok and categorized into three groups based on the origin of the patterns: Sade, Sukarara, and Pringgasela. The model was trained with data augmentation techniques, including rotation, shifting, and zooming, to increase data diversity. During the training process, fine-tuning was applied to the last layer of ResNet50V2, and optimization was performed using AdamW with a learning rate of 0.0001. The model was evaluated using a confusion matrix, classification report, and analysis of accuracy and loss. The experimental results showed that the model achieved 100% accuracy at the 15th epoch. Furthermore, experiments with different parameters (epochs, batch size, and learning rate) demonstrated that the 15th epoch provided the best results with 100% accuracy, while using higher epochs (30 and 40) did not necessarily yield better outcomes. This model is effective in identifying songket fabric patterns with good classification results for each class. Although the results are excellent, increasing the dataset size and exploring more complex model architectures could further enhance performance. Overall, this study demonstrates the significant potential of deep learning technology in classifying songket patterns with reliable accuracy in real-world applications.
SemetonBug: A Machine Learning Model for Automatic Bug Detection in Python Code Based on Syntactic Analysis Imran, Bahtiar; Riadi, Selamet; Suryadi, Emi; Zulpahmi, M.; Zaeniah, Zaeniah; Wahyudi, Erfan
Jurnal Informatika Vol 12, No 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i2.25340

Abstract

Bug detection in Python programming is a crucial aspect of software development. This study develops an automated bug detection system using feature extraction based on Abstract Syntax Tree (AST) and a Random Forest Classifier model. The dataset consists of 100 manually classified bugged files and 100 non-bugged files. The model is trained using structural code features such as the number of functions, classes, variables, conditions, and exception handling. Evaluation results indicate an accuracy of 86.67%, with balanced precision and recall across both classes. Confusion matrix analysis identifies the presence of false positives and false negatives, albeit in relatively low numbers. The accuracy curve suggests a potential overfitting issue, as training accuracy is higher than testing accuracy. This study demonstrates that the combination of AST-based feature extraction and Random Forest can be an effective approach for automated bug detection, with potential improvements through model optimization and a larger dataset.
SemetonBug: A Machine Learning Model for Automatic Bug Detection in Python Code Based on Syntactic Analysis Bahtiar Imran; Selamet Riadi; Emi Suryadi; M. Zulpahmi; Zaeniah Zaeniah; Erfan Wahyudi
Jurnal Informatika Vol. 12 No. 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/

Abstract

Bug detection in Python programming is a crucial aspect of software development. This study develops an automated bug detection system using feature extraction based on Abstract Syntax Tree (AST) and a Random Forest Classifier model. The dataset consists of 100 manually classified bugged files and 100 non-bugged files. The model is trained using structural code features such as the number of functions, classes, variables, conditions, and exception handling. Evaluation results indicate an accuracy of 86.67%, with balanced precision and recall across both classes. Confusion matrix analysis identifies the presence of false positives and false negatives, albeit in relatively low numbers. The accuracy curve suggests a potential overfitting issue, as training accuracy is higher than testing accuracy. This study demonstrates that the combination of AST-based feature extraction and Random Forest can be an effective approach for automated bug detection, with potential improvements through model optimization and a larger dataset.
Co-Authors -, Hoiriyah Achmad Syauqi Agus Miswanto Ahmad Nazar Ahmad Subki Ahmad Subki ahmad yani Ahmed Shodiq Al Misry Akhmad Muzakka Akmal Alamsyah Baihaki, Makmun Baiq Nonik Ria Riska Efendi, Muhamad Masjun Efendi, Muhammad Masjun Elias Hendrik Frasawi erniwati, surni Ery Rizal Hidayat Fobia, Benhard Benyamin Hidayat, Ery Rizal Hoiriyah - I Made Yoga Jaya Kusuma Ifik Arifin Imran, Bahtiar Karim, Muh Nasirudin Karya Gunawan Karya Gunawan Lalu Ahmad Murdhani Lalu Delsi Samsumar, M.Eng. M Zulpahmi M. Zulpahmi Makmun Baihaki Marzuki Maspaeni Maspaeni Moh Subli Moh. Subli Moh. Subli Muahidin, Zumratul Muhammad Masjun Efendi Muhammad Masjun Efendi Muhammad Rijal Alfian Muhammad Suhardi Muhammad Suhardi Muhammad Zohri Muhammad Zohri, Muhammad Murdhani, Lalu Ahmad Muzakka, Akhmad Novian, Lalu Efendi Nurul Yakin Nurul Yakin Nurul Yakin Riska, Baiq Nonik Ria Rosidin Rosidin Rosidin Rosidin Salman Salman Selamet Riadi Selamet Riadi Subektiningsih Subektiningsih Subki, Ahmad Suryadi, Emi Wiredarme Wiredarme Zaeniah Zaeniah Zaeniah Zulpahmi, M Zulpahmi, M.