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All Journal Jurnal Masyarakat Informatika Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi INTERACTION: Jurnal Pendidikan Bahasa Jurnal Teknologi Informasi dan Terapan (J-TIT) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Mahasiswa Ilmu Komputer JAMU : Jurnal Abdi Masyarakat UMUS SmartComp Seminar Nasional Teknologi dan Multidisiplin Ilmu Jurnal Informatika: Jurnal Pengembangan IT Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Muhammad Naufal
Dian Nuswantoro University, Semarang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Incorporating AI Tool Along with Traditional Method for Speaking Assessment Liya Umaroh; Mukaromah Mukaromah; Muhammad Naufal; Ardiawan Bagus Harisa
INTERACTION: Jurnal Pendidikan Bahasa Vol 10 No 2 (2023): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Universitas Pendidikan Muhammadiyah (UNIMUDA) Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpendidikanbahasa.v10i2.4894

Abstract

This work focused on incorporating AI tool with traditional method for speaking assessment. The descriptive qualitative has been implemented to complete this research. Problem encountered during English pronunciation was failing to distinguish between short vowel and long vowel. By employing traditional and AI tool, students got numerous benefits. They may enjoy learning with the flexibility of time and they also can engage face to face interaction while using traditional method furthermore, it is essential to acknowledge AI tool with the limitation and drawbacks. AI tool do not give the same stage of personal interconnection and on-going response as a human facilitator.
Sistem Pre Kompilasi Data Tracer Studi Online Ditjen Belmawa Ristekdikti (Studi Kasus: Politeknik Harapan Bersama) Very Kurnia Bakti; Mohammad Noval; Eko Purnomo Bayu Aji
Jurnal Informatika: Jurnal Pengembangan IT Vol 2, No 1 (2017): JPIT, Januari 2017
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v2i1.441

Abstract

Tracer studi merupakan salah satu upaya yang diharapkan dapat menyediakan informasi untuk mengevaluasi hasil pendidikan di Politeknik Harapan Bersama dari kuisioner yang diberikan kepada alumni. Kegiatan tracer studi ini sudah dilaksanakan secara online, namun masih terdapat kendala pada bagian sistem yang digunakan saat ini, hal tersebut menyebabkan Politeknik Harapan Bersama tidak dapat melaporkan / mengunggah hasil tracer studi kepada Ditjen Belmawa Ristekdikti, dimana form kuisioner dan data export tracer studi yang dihasilkan berbeda dengan kebutuhan seperti yang tercantum pada surat edaran No. 313/B/SE/2016 tentang pelaksanaan tracer studi di tingkat perguruan tinggi. Mengingat pentingnya tracer studi sebagai umpan balik bagi Politeknik Harapan Bersama, maka perlu solusi untuk mengatasi kekurangan sistem ini. Dengan merubah sistem yang ada dengan sistem tracer studi yang baru merupakan solusi yang tepat dalam permasalahan ini. Sistem tracer studi yang baru mampu menghasilkan data tracer studi alumni dan pengisian form kuisioner sesuai dengan standar Ditjen Belmawa Ristekdikti yang dapat diunggah sistem tracer studi ristekdikti.
PENERAPAN TEKNIK ADAPTIVE DAN HISTOGRAM EQUALIZATION DALAM PENGOLAHAN CITRA Naufal, Muhammad; Al Azies, Harun; Firmansyah, Gustian Angga; Kharisma, Ni Made Kirei
Jurnal Mahasiswa Ilmu Komputer Vol. 5 No. 1 (2024): Jurnal Mahasiswa Ilmu Komputer March 2024
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ilmukomputer.v5i1.5345

Abstract

Mengantuk saat berkendara menjadi ancaman serius yang dapat meningkatkan risiko kecelakaan, yang merupakan penyebab utama kematian di seluruh dunia, termasuk di Indonesia. Deteksi dan pencegahan kondisi mengantuk pada tahap awal menjadi krusial untuk mengurangi potensi kecelakaan dan meningkatkan keselamatan berkendara. Penelitian ini fokus pada pemanfaatan citra wajah pengemudi sebagai metode efektif dalam mendeteksi mengantuk. Rendahnya kontras dalam citra dapat mempengaruhi deteksi wajah, sehingga diperlukan peningkatan kontras citra. Dalam penelitian ini, dua teknik peningkatan kontras citra, yaitu Histogram Equalization (HE) dan Adaptive Histogram Equalization (AHE), dievaluasi. Dataset yang digunakan adalah Driver Drowsiness Dataset, terdiri dari citra Drowsy sebanyak 22,348 dan Non-Drowsy sebanyak 19,445. Pra-pemrosesan melibatkan resize dan pengaburan menggunakan Gaussian Blur, diikuti oleh penerapan HE dan AHE. Evaluasi kinerja dilakukan menggunakan matriks evaluasi, menghasilkan skor Mean Squared Error, Peak Signal-to-Noise Ratio, dan Signal-to-Noise Ratio. Hasil menunjukkan bahwa HE memberikan hasil yang lebih baik dengan skor MSE 101.21, PSNR 28.11, dan SNR 0.19, dibandingkan dengan AHE yang memiliki skor MSE 103.92, PSNR 27.97, dan SNR 0.04. Oleh karena itu, dapat disimpulkan bahwa HE memberikan peningkatan kontras yang lebih baik untuk citra wajah dibandingkan dengan AHE.
ENHANCING SPEAKING SKILL THROUGH AI-POWERED TECHNOLOGY Liya Umaroh; Mukaromah Mukaromah; Muhammad Naufal
Seminar Nasional Teknologi dan Multidisiplin Ilmu (SEMNASTEKMU) Vol 3 No 1 (2023): SEMNASTEKMU
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/semnastekmu.v3i1.209

Abstract

. Artificial Intelligent (AI) is a field of computer science devoted to solve cognitive problems, commonly associated with human intelligence, such as learning, problem solving and pattern recognition. From education point of views, it helps teachers to facilitate learning process especially for speaking skill. The research method runs with mixed method (qualitative. And quantitative) The aim of this research is investigating the students’ speaking performance with artificial intelligence. The data collection is taken from interviews, photo, and literature studies. The result of this study is the increasing student’s speaking performance with AI.
Comparing Haar Cascade and YOLOFACE for Region of Interest Classification in Drowsiness Detection Andrean, Muhammad Niko; Shidik, Guruh Fajar; Naufal, Muhammad; Zami, Farrikh Al; Winarno, Sri; Azies, Harun Al; Putra, Permana Langgeng Wicaksono Ellwid
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7167

Abstract

Driver drowsiness poses a serious threat to road safety, potentially leading to fatal accidents. Current research often relies on facial features, specific eye components, and the mouth for drowsiness classification. This causes a potential bias in the classification results. Therefore, this study shifts its focus to both eyes to mitigate potential biases in drowsiness classification.This research aims to compare the accuracy of drowsiness detection in drivers using two different image segmentation methods, namely Haar Cascade and YOLO-face, followed by classification using a decision tree algorithm. The dataset consists of 22,348 images of drowsy driver faces and 19,445 images of non-drowsy driver faces. The segmentation results with YOLO-face prove capable of producing a higher-quality Region of Interest (ROI) and training data in the form of eye images compared to segmentation results using the Haar Cascade method. After undergoing grid search and 10-fold cross-validation processes, the decision tree model achieved the highest accuracy using the entropy parameter, reaching 98.54% for YOLO-face segmentation results and 98.03% for Haar Cascade segmentation results. Despite the slightly higher accuracy of the model utilizing YOLO-face data, the YOLO-face method requires significantly more data processing time compared to the Haar Cascade method. The overall research results indicate that implementing the ROI concept in input images can enhance the focus and accuracy of the system in recognizing signs of drowsiness in drivers.
Pengenalan Ekspresi Wajah Menggunakan Transfer Learning MobileNetV2 dan EfficientNet-B0 dalam Memprediksi Perkelahian Handayani, Ni Made Kirei Kharisma; Hidayat, Erwin Yudi; Naufal, Muhammad; Putra, Permana Langgeng Wicaksono Ellwid
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7048

Abstract

Expressions play an important role in recognizing someone's emotions. Recognizing emotions can help understand someone's condition and be a sign of their possible actions. Fighting is one of the violences that occur due to someone's negative emotions that need to be prevented and treated immediately. In this study, expression recognition is used to predict the possibility of a fight based on the expression shown by a person. The dataset used is FER-2013 which has been modified into two labels, namely "Yes" and "No". The data undergoes a preprocessing step which includes resizing and normalization. Model experiments using transfer learning from the MobileNetV2 and EfficientNet-B0 architectures have been modified by performing hyperparameter and fine tuning which includes freezing the layer by 25% in the first layers of each model and adding several layers such as flatten and dense. In the training process, some parameters used are 30 epochs, batch size 32, and Adam optimization with a learning rate of 0.0001. Model performance evaluation is measured using Confusion Matrix, then the results are compared and obtained the model that produces the best accuracy value is EfficientNet-B0 which is 82%. Meanwhile, based on the training time and model weight, MobileNetV2 is 1 hour 1 minute 43 seconds faster and 21.57 MB smaller than EfficientNet-B0.
Enhanced Semarang Batik Classification using MobileNetV2 and Data Augmentation Khoirunnisa, Emila; Alzami, Farrikh; Pramunendar, Ricardus Anggi; Megantara, Rama Aria; Naufal, Muhammad; Al-Azies, Harun; Winarno, Sri
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14308

Abstract

Batik, an Indonesian cultural heritage recognized by UNESCO, faces challenges in pattern identification and documentation, particularly for the younger generation. Previous studies on batik classification have shown limitations in handling small datasets and maintaining accuracy with limited computational resources. This research proposes an enhanced classification approach for Semarang Batik motifs using MobileNetV2 architecture combined with strategic data augmentation techniques. The study utilizes a dataset of 3,020 images comprising 10 distinct Semarang Batik motifs, implementing horizontal flipping, rotation, and zoom transformations to address dataset limitations. Our methodology incorporates transfer learning through ImageNet pre-trained weights and custom layer modifications to optimize the MobileNetV2 architecture for batik-specific features. The model achieves 100% accuracy on validation data, with precision, recall, and F1-scores consistently above 0.98 across all classes. The confusion matrix analysis reveals minimal misclassification between similar motif patterns, particularly in the Batik Blekok Warak and Batik Kembang Sepatu classes. This research contributes to cultural heritage preservation by providing an efficient, resource-conscious solution for automated batik pattern recognition, potentially supporting educational and commercial applications in the batik industry.
Penerapan Gamifikasi Materi Pembelajaran Tingkat SMA dengan Menggunakan Wordwall Setiyanto, Noor Ageng; Hidayat, Novianto Nur; Akrom, Muhamad; Pertiwi, Ayu; Aprihartha, Moch. Anjas; Safitri, Aprilyani Nur; Sudibyo, Usman; Prabowo, Wahyu Aji Eko; Al Azies, Harun; Naufal, Muhammad
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2851

Abstract

Kegiatan Pengabdian Masyarakat ini dilaksanakan di SMA Negeri 2 Mranggen, Demak, dengan tujuan untuk menciptakan variasi materi pembelajaran melalui proses gamifikasi, sehingga pembelajaran menjadi lebih menarik dan interaktif bagi siswa tingkat menengah. Tema dari kegiatan ini adalah gamifikasi materi pembelajaran menggunakan alat bantu Wordwall, yang memungkinkan pengintegrasian elemen permainan dalam proses belajar-mengajar. Kegiatan ini melibatkan para guru di SMA Negeri 2 Mranggen, Demak. Metode yang digunakan meliputi observasi untuk memahami kebutuhan pembelajaran di sekolah, serta pelatihan langsung dalam bentuk seminar, demonstrasi, dan sesi diskusi interaktif. Teknik ini dirancang agar para guru dapat memahami konsep gamifikasi, mempraktikkan penggunaan Wordwall, dan mengembangkan materi ajar yang kreatif serta sesuai dengan kurikulum yang ada. Hasil kegiatan menunjukkan bahwa implementasi gamifikasi materi pembelajaran melalui Wordwall efektif dalam meningkatkan pemahaman guru terhadap konsep gamifikasi. Selain itu, para guru merasa terbantu dan termotivasi untuk menciptakan materi pembelajaran yang lebih kreatif, menarik, dan dinamis.
Pengenalan Sistem Pertanian Cerdas Untuk Konservasi Alam Dan Penghematan Energi dengan Metode Critical Thinking pada Siswa SD Islam Bintang Juara Ningrum, Novita Kurnia; Umaroh, Liya; Trisnapradika, Gustina Alfa; Naufal, Muhammad
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2708

Abstract

Indonesia sebagai negara kepulauan  terbesar di duniia terdiri dari wilayah daratan dan lautan dengan ribuan pulau kecil yang tersebar di seluruh kawasan perairannya. Akan tetapi pengelolaan ekosistem alam yang buruk selama beberapa tahun terakir berdampak pada kerusakan ekosistem alam yang dari tahun 2017-2021 terjadi deforetasi di pulau kecil mencapai 79% tiap tahunnya. Kerusakan akibat deforestasi tersebut tidak hanya merusak ekosistem alam juga merusak sumber energy yang tidak terbarukan yang disebabkan oleh penambangan dan pembukaan lahan hutan yang melanggar etika lingkungan. Oleh karenanya diterapkan metode critical thinking pada siswa. Berpikir kritis sangat dibutuhkan oleh anak sejak usia dini, utamanya tingkatan sekolah dasar. Dengan berpikir kritis, siswa menjadi lebih tajam dalam memahami permasalahan dan tetpat sasaran dalam menentukan solusi permasalahan yang ditemukan. Adanya smart farming merupakan salah satu pendekatan teknologi yang dapat dilakukan agar kerusakan ekosistem alam dapat dikendalikan. Pengenalan smart farming disampaikan dengan metode computational thinking yang  diikuti oleh 20 peserta yang terdiri dari 17 siswa dan 3 guru pengajar di SD Islam Bintang Juara.
IMPROVING AWARENESS OF INTERNET SECURITY AND ETHICS AMONG STUDENTS AT SMA NEGERI 2 MRANGGEN Naufal, Muhammad; Hidayat, Novianto Nur; Trisnapradika, Gustina Alfa; Al Azies, Harun
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 2 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i2.2025.204-214

Abstract

This community service initiative aimed to enhance the awareness of internet security and ethics among high school students at SMA Negeri 2 Mranggen, Demak Regency, Central Java. The program utilized a structured methodology consisting of outreach, training, and evaluation stages conducted in a hands-on environment within the school's computer laboratory. The training covered key topics such as data security, phishing attacks, malware, and ethical internet use. The sessions were held in the school’s computer laboratory to provide hands-on experience. Each training session had a duration of 3×45 minutes, attended by 31 students, allowing comprehensive exploration of the material. Pre- and post-tests were administered to assess the effectiveness of the training. The results demonstrated a significant improvement in students' knowledge, with average scores increasing from 49 in the pre-test to 72.67 in the post-test. A paired t-test analysis confirmed this improvement as statistically significant, with a T-statistic of -13.971 and a P-value of 2.07 × 10-14. The findings highlight the program's success in raising awareness and equipping students with the skills to navigate the digital world safely and responsibly. This initiative underscores the importance of educational programs in fostering internet literacy and security awareness among young users. To build on these findings, it is recommended that similar training sessions to be conducted regularly to reinforce the concepts learned. Additionally, a long-term plan is proposed as a form of sustainability of this community service program, namely by expanding the training targets not only to students but also to teachers, housewives and children who are already accustomed to gadgets.
Co-Authors Achmad Achmad Akrom, Muhamad Akrom, Muhamad Febrian Al Fahreza, Muhammad Daffa Al zami, Farrikh Al-Azies, Harun Alzami, Farrikh Amanda Cahyadewi, Felicia Amron, Azmi Jalaluddin Andrean, Muhammad Niko Anggi Pramunendar, Ricardus Anggita, Ivan Maulana Ardytha Luthfiarta ARIYANTO, MUHAMMAD Arofi, Muhammad Labib Zaenal Ashari, Ayu Ayu Pertiwi Azizi, Husin Fadhil Brilianto, Rivaldo Mersis Dairoh Dairoh Danar Cahyo Prakoso Dega Surono Wibowo Denta Saputra, Fahrizal Dewi Agustini Santoso Dwi Puji Prabowo, Dwi Puji Eko Purnomo Bayu Aji Erika Devi Udayanti Erwin Yudi Hidayat Fadlullah, Rizal Fahmi Amiq Firmansyah, Gustian Angga Go, Agnestia Agustine Djoenaidi Guruh Fajar Shidik Hadi, Heru Pramono Handayani, Ni Made Kirei Kharisma Harisa, Ardiawan Bagus Hartono, Andhika Rhaifahrizal Harun Al Azies Harun Al Azies Heni Indrayani Hepatika Zidny Ilmadina Hidayat, Novianto Nur Ifan Rizqa Indra Gamayanto Indrawan, Michael Iswahyudi ISWAHYUDI ISWAHYUDI Kharisma, Ni Made Kirei Khoirunnisa, Emila Kurniawan Aji Saputra Kurniawan, Defri Kurniawan, Ibnu Richo Kusumawati, Yupie Liya Umaroh Liya Umaroh Liya Umaroh, Liya Malim, Nurul Hashimah Ahmad Hassain Maulana, Isa Iant Megantara, Rama Aria Moch Anjas Aprihartha Mohammad Arif Mukaromah Mukaromah MUKAROMAH MUKAROMAH Muslih Muslih Nazella, Desvita Dian Ningrum, Novita Kurnia Noor Ageng Setiyanto, Noor Ageng Novianto Nur Hidayat Nugraini, Siti Hadiati Paramita, Cinantya Pergiwati, Dewi Prabowo, Wahyu Aji Eko Puspita, Rahayuning Febriyanti Putra, Permana Langgeng Wicaksono Ellwid Rafid, Muhammad Ramadhan Rakhmat Sani Riadi, Muhammad Fatah Abiyyu Ricardus Anggi Pramunendar Richo Kurniawan, Ibnu Ruri Suko Basuki Safitri, Aprilyani Nur Sofiani, Hilda Ayu Sri Winarno Sudibyo, Usman Suharnawi Suharnawi Trisnapradika, Gustina Alfa Umar Fakhrizal, Irsyad Very Kurnia Bakti, Very Kurnia Widyatmoko Karis Yosep Teguh Sulistyono, Marcelinus Zahro, Azzula Cerliana Zami, Farrikh Al