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All Journal ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization IJoLE: International Journal of Language Education Faktor Exacta INOVTEK Polbeng - Seri Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) KOMPUTIKA - Jurnal Sistem Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Klasikal: Journal of Education, Language Teaching and Science Jurnal Teknik Informatika (JUTIF) Panrannuangku Jurnal Pengabdian Masyarakat Chemistry Education Review Online Learning in Educational Research Seminar Nasional Pengabdian Kepada Masyarakat Teknovokasi : Jurnal Pengabdian Masyarakat Jurnal Pendidikan Terapan Vokatek : Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Ininnawa: Jurnal Pengabdian Masyarakat Journal of Security, Computer, Information, Embedded, Network and Intelligence System Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Journal of Deep Learning, Computer Vision and Digital Image Processing Journal of Progressive Information, Security, Computer and Embedded System Jurnal MediaTIK Journal of Computers, Informatics, and Vocational Education Media Elektrik Jurnal Sipakatau
Muhammad Fajar B
Universitas Negeri Makassar
Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering 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 Mathematics Nursing Physics Public Health Social Sciences Veterinary Other

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Enhancing Batik Classification Leveraging CNN Models and Transfer Learning Perdana, Am Akbar Mabrur; Fajar B, Muhammad; Mappalotteng, Abdul Muis
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2535

Abstract

Batik is a traditional art originating from Indonesia and recognized by UNESCO. Batik motifs vary depending on the region of origin. The diverse batik motifs reflect the rich cultural heritage and unique traditions owned by each region in Indonesia. From Sabang to Merauke, each motif features a different story and values, depicting the beauty and diversity of nature and the lives of diverse local people. However, in the context of the modern era that continues to develop, batik motifs also experience renewal and creativity that always adapts to the times. As a result, the diversity of batik motifs is increasingly abundant in Indonesia. Thus, complicating efforts to identify and categorize batik motifs appropriately. Therefore, in the context of this study, we chose to combine the MobileNetV2 model with Transfer Learning to classify batik motifs. We used a dataset consisting of 3000 batik images and categorized them into three main classes, namely Kawung batik, Mega Mendung batik, and Parang batik. This approach not only leads to the introduction and understanding of traditional batik motifs but also applies the latest technology for a more in-depth and accurate analysis. The results of this model show an extremely high level of testing accuracy, reaching 0.9946%, and training accuracy of 0.8916%, and the time required by the model to train and test the entire dataset is 18 minutes 1 second. Future research can explore the integration of other technologies or new approaches to improve accuracy and efficiency in classifying batik motifs.
PKM Pelatihan Penulisan Artikel Ilmiah Sebagai Kiat Sukses Untuk Menulis PKM-AI dan PKM-GT bagi Mahasiswa Sudarmanto Jayanegara; Wahyu Hidayat M; Muhammad Hasim; Baso Riadi Husda; Dary Mochamad Rifqie; B, Muhammad Fajar; Muh. Bhilal Halim
TEKNOVOKASI : Jurnal Pengabdian Masyarakat Volume 1: Issue 2 (May 2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.679 KB) | DOI: 10.59562/teknovokasi.v1i2.135

Abstract

Scientific article writing training is an important step in preparing quality PKM-AI and PKM-GT proposals. A good scientific article not only clearly and systematically describes the research, but also demonstrates its relevance and contribution in the chosen field. Therefore, students need to understand the basic concepts of writing scientific articles, the proper structure, and effective writing techniques and strategies. This research aims to provide the understanding and skills needed in writing scientific articles as tips for success in writing proposals for the Student Creativity Program (PKM) in Artificial Intelligence (PKM-AI) and Game Technology (PKM-GT). In an era of rapid technological development, PKM is a way for students to develop creative and innovative ideas related to AI and GT. Training methods include presentation sessions, discussions, and writing practice. Participants will be introduced to the main steps in writing scientific articles, including selecting topics, identifying research questions, reviewing the literature, developing a framework, collecting data, analyzing data, and discussing results. In addition, participants will be taught how to avoid plagiarism and adhere to scientific writing ethics. It is hoped that the results of this training will provide an in-depth understanding of writing scientific articles and improve participants' abilities in preparing strong PKM-AI and PKM-GT proposals. With good writing skills, students are expected to be able to present their ideas and contributions clearly, as well as gain support and recognition from institutions and related parties.
Pelatihan Aplikasi Canva untuk Membantu Kinerja Pegawai di Kecamatan Galesong Utara Kabupaten Takalar Israwati Hamsar; Dessy Ana Laila Sari; Rosidah; Dyah Darma Andayani; B, Muhammad Fajar; Wahyudi; Andi Baso Kaswar
TEKNOVOKASI : Jurnal Pengabdian Masyarakat Volume 1: Issue 2 (May 2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.689 KB) | DOI: 10.59562/teknovokasi.v1i2.139

Abstract

Training in the use of Canva application to assist employee performance is a program aimed at enhancing employees' graphic design skills using Canva. This training provides benefits for beginners who want to learn graphic design with user-friendly features and ready-to-use templates. Research also indicates that Canva application training has a positive impact on employee performance. Therefore, a socialization of Canva application training is conducted at the Office of North Galesong District, Takalar Regency to assist employees in improving their graphic design competence and performance. The implementation method of this activity involves collaboration with relevant parties, field surveys, training material preparation, socialization, workshops, evaluation, and visits to participants. The results and discussion of this activity encompass preparation, administration, counseling, and delivery of materials. Supporting factors in this activity include participants' interest and willingness, as well as interactions with the resource persons. However, there are inhibiting factors such as participants' initial lack of understanding of the Canva application, which can be overcome by providing detailed explanations. From this activity, it can be concluded that the socialization of Canva application usage is essential for enhancing employee performance in graphic design. Participants are expected to apply the training materials, leading to an improvement in knowledge, graphic design performance, and the dissemination of engaging information for the community in North Galesong District.
Pengembangan Fitur Bebas Bengkalai Yang Terintegrasi Dengan Tanda Tangan Digital Pada Aplikasi SIM-LAB Di Jurusan Teknik Informatika dan Komputer Parenreng, Jumadi M; Wahyu Hidayat M; B, Muhammad Fajar
TEKNOVOKASI : Jurnal Pengabdian Masyarakat Volume 1: Issue 3 (September 2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/teknovokasi.v1i3.825

Abstract

Digital transformation in all areas of life has reached the Metaverse era, especially in the field of education which has an impact on changing the education paradigm. This transformation is a driving force to improve the quality of education in Indonesia, Universities which are the mecca of civilization should adopt the progress of digital transformation, the Department of Informatics and Computer Engineering in this case in laboratory management requires an integrated and well-documented information system to manage inventory and facilitate the process of borrowing and returning goods in the laboratory. The lack of such an information system can cause problems in inventory management and laboratory use. Therefore, a community service program was carried out to develop a free inventory feature integrated with digital signatures in the SIM-LAB application at the Department of Informatics and Computer Engineering, FT UNM. This program aims to improve the quality of inventory management in the laboratory. In order to solve the problems faced by partners, the solutions offered through this PKM program are 1) Implementing a free inventory feature integrated with digital signatures in the SIM-LAB JTIK application, 2) Provide training related to the application, use, and maintenance of free swollen features integrated with digital signatures to JTIK Laboratory operators. After being given training, they are then guided to apply the results of the training in order to improve the quality of inventory management in the laboratory.
Comparative Analysis of the Performance of Hadith Text Classification Methods: A Case Study with ANN and SVM Surianto, Dewi Fatmarani; Fajar B, Muhammad; Mulia, Musda Rida; Indanasufya, Indanasufya
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.2942

Abstract

Hadith is the second holy book for Muslims after the Quran, containing instructions from the Prophet Muhammad SAW, and narrated by Ulama / Mufti. As one of the main sources of Islamic teachings, hadith is used to explain and illustrate the teachings of the Quran. This study aims to compare the performance of hadith text classification using Artificial Neural Network (ANN) and Support Vector Machine (SVM) with Hadith Bukhari dataset. The stages include preprocessing, feature extraction with TF-IDF, classification, and evaluation. The evaluation results show different performance between ANN and SVM in two scenarios: with and without stemming. The use of stemming has a significant impact on model performance, reducing word variation and can result in a decrease in accuracy. The SVM model consistently showed higher accuracy than ANN in both scenarios, with the highest accuracy reaching 85% for classification without stemming. This study provides insight into the application of ANN and SVM in hadith text classification, emphasizing the importance of selecting a method that suits the characteristics of the data.
A Hybrid Framework for Plagiarism Detection: Integrating Token-Based Similarity with Density-Based Clustering Fajar B, Muhammad; Lestary, Fitriyanty Dwi; Surianto, Dewi Fatmarani
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 1 (2025): March 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i1.7664

Abstract

Plagiarism detection in academic assignments remains a critical challenge in maintaining academic integrity in higher education. This study proposes an automated method to detect content similarity between student assignment documents by combining Jaccard Similarity and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithms. The process begins with the collection of student assignment files in digital format, followed by text extraction to form a set-based representation of each document. Jaccard Similarity is then used to compute the degree of similarity between every document pair, and the resulting similarity matrix is transformed into a distance matrix as input for DBSCAN. Experiments conducted on 23 documents yielded 253 unique document pairs. The results demonstrate that the method successfully identified pairs with high similarity scores—such as 0.9114 and 0.7226—which were visually confirmed through a heatmap and effectively grouped into clusters by DBSCAN. Parameter settings of eps = 0.3 and min_samples = 1 proved optimal for distinguishing original documents from those exhibiting substantial content overlap. This approach is not only accurate and efficient, but also eliminates the need for predefined cluster numbers, making it suitable for deployment in automated plagiarism detection systems for academic texts.
Pengembangan Media Trainer Rekayasa Sistem Robotika Berbasis Internet of Things Wahyudi, Wahyudi; Sabara, Edy; Fajar B, Muhammad
Jurnal MediaTIK Volume 6 Issue 2, Mei (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i2.1390

Abstract

Penelitian ini bertujuan untuk untuk mengidentifikasi langkah-langkah dalam pengembangan media trainer robotika berbasis internet of things sebagai alat pembelajaran pendidikan kejuruan dan vokasi pada Fakultas Teknik Universitas Negeri Makassar, dan menghasilkan media trainer robotika yang valid, praktis, dan efektif. Metode penelitian yang digunakan adalah research and development (R&D) dengan menerapkan model pengembangan 4D, yaitu 1) pendefinisian, 2) perancangan, 3) pengembangan, 4) penyebaran, teknik analisis data pada penelitian ini adalah dengan menggunakan analisis deskriptif persentase yang mendiskripsikan hasil pengembangan, respon validator, hasil uji coba one to one, uji coba kelompok kecil dan uji coba kelompok besar. Hasil penelitian ini menunjukkan bahwa media trainer robotika berbasis internet of things yang dikembangkan dalam hal media dan materi tergolong sangat valid untuk digunakan. Implementasi media trainer ini mendapatkan respon yang sangat praktis dari mahasiswa dalam penggunaannya, dan hasil tes mahasiswa setelah implementasi menunjukkan peningkatan yang signifikan dalam kategori tinggi. Berdasarkan data tersebut, dapat disimpulkan bahwa media trainer robotika berbasis internet of things yang telah dikembangkan memenuhi kriteria valid, praktis rata-rata aspek aplikasi 91,67%, tampilan 95,83%, konten 91,67% dan bahasa 91,67%, sehingga dapat disimpulkan bahwa media trainer robotika berbasis internet of things berada pada kategori sangat praktis dan efektif dalam penggunaannya dengan nilai N-Gain sebesar 0,77 atau dalam kategori tinggi.
Minimizing Multiplication of Kernel Computation in Convolutional Neural Networks Using Strassen Algorithm Rifqie, Dary Mochamad; Surianto, Dewi Fatmarani; Jayanegara, Sudarmanto; Fajar B, Muhammad; Fakhri, M. Miftach
Jurnal MediaTIK Volume 6 Issue 2, Mei (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i2.1397

Abstract

Convolution neural networks (CNN) have been widely applied for the computer vision task. However, the success of CNN is limited by the computational complexity of the network, so it is difficult for the model to run the inference process in real time. In this paper, we apply Strassen matrix multiplication to reduce multiplications in convolution operations in CNN, in order to get faster execution for CNN. First, we transform the convolution operation into a matrix multiplication operation using the Toeplitz mapping method, then after that, we apply the Strassen method to these matrices. In the end, we compare the number of arithmetic operations (multiplication and addition) in the convolutional layer using Strassen and the standard algorithm. We apply this algorithm implementation in convolution layers 1 and 3 in LeNet-5 Architecture.
SIM-PA Aplikasi Perwalian sebagai Wadah Komunikasi Pembimbingan Mahasiswa Universitas Negeri Makassar Wahid, M. Syahid Nur; Agung, Muhammad; Nur, Muh Irfan; Fajar B, Muhammad; Parenreng, Jumadi M
Jurnal MediaTIK Volume 6 Issue 2, Mei (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i2.1399

Abstract

Salah satu civitas akademika dalam sistem perguruan tinggi adalah mahasiswa. mahasiswa merupakan salah satu produk yang akan menjadi lulusan dari sebuah pergirian tinggi. Hal ini menjadikan perguruan tinggi harus memperhatikan kualitasnya. Dengan konsep ini setiap mahasiswa diberikan dosen penasehat akademik (PA) yang menjadi wali pada perguruan tingginya. Dosen ini akan menjadi penasehat sekaligus sebagai pembimbing yang nantikan mahasiswa dapat melakukan komunikasi terkait permasalahan-permasalahan yang mungkin dialami oleh mahasiswa. Tetapi, terkadang mahasiswa tidak memanfaatkan dosen penasehat dan tidak melakukan konsultasi dengan dosennya. Atas dasar itulah dikembangkanlah suatu sistem informasi perwalian. Sistem ini diharapkan dapat mempermudah proses perwalian dalam kaitannya dengan mengetahui masalah-masalah mahasiswanya lebih dini. Tahapan penelitian dibagi menjadi 7 (tujuh) tahapan, yaitu: (a) analisis masalah; (b) pengumpulan data; (c) desain aplikasi; (d) pengujian pada aplikasi; (e) perbaikan aplikasi; (f) uji coba aplikasi; (g) Diseminasi dan Implementasi. Hasil dari penelitian Pengembangan Sistem Informasi Manajemen Penasihat Akademik (SIM-PA) memiliki prospek yang sangat menjanjikan jika dapat diimplementasikan sebagai inovasi teknologi. Lembaga dan Institusi akan sangat terbantu dalam peningkatan efisiensi dan efektivitas proses bimbingan PA. Dengan adanya sistem ini dapat mempermudah PA dalam mengamati perkembangan mahasiswa. Sehingga dapat menigkatkan presentasi kelulusan mahasiswa.
Aplikasi Portal Destinasi Pariwisata Sulawesi Selatan Berbasis Mobile Alfiani; Muhammad Fajar B; Fitriyanty Dwi Lestary
Jurnal MediaTIK Volume 6 Issue 3, September (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i3.2266

Abstract

Penelitian ini membahas pembuatan aplikasi portal berbagai destinasi wisata di provinsi Sulawesi Selatan yang bertujuan mempermudah wisatawan dalam mengakses informasi mengenai tempat wisata. Aplikasi ini memberikan informasi tentang berbagai destinasi wisata, makanan khas, dan sejarah di setiap Kabupaten di Sulawesi Selatan. Penelitian ini mengikuti langkah-langkah pengembangan perangkat lunak berbasis prototyping, termasuk penentuan kebutuhan sistem, perancangan sistem, pembuatan prototype, pengumpulan data, dan uji coba sistem. Dalam tahap penentuan kebutuhan sistem, kebutuhan fungsional dan non fungsional diidentifikasi, termasuk tampilan dashboard, kemampuan pencarian, informasi produk, dan sistem pembayaran yang dapat diakses oleh pengguna dan admin. Metode pengumpulan data kualitatif digunakan untuk analisis kebutuhan data. Perancangan sistem melibatkan use case diagram, activity diagram, class diagram, dan sequence diagram untuk menggambarkan cara kerja aplikasi. Antarmuka aplikasi juga dirancang dengan tampilan yang user-friendly. Hasil rancangan sistem mencakup halaman login, halaman register (sign-up), halaman beranda, halaman pilihan, dan halaman informasi. Uji coba sistem dilakukan dengan aplikasi Android Studio untuk memastikan fitur-fitur berfungsi dengan baik. Aplikasi yang dibangun memberikan informasi komprehensif tentang destinasi wisata di Sulawesi Selatan dan memiliki antarmuka yang mudah digunakan. Dengan demikian, aplikasi ini dapat memudahkan wisatawan dalam merencanakan perjalanan mereka ke daerah tersebut.
Co-Authors AA Sudharmawan, AA Abduh, Amirullah Abdul Muis Mappalotteng Abdul Wahid Abdul Wahid Abidin, Muh. Rais Adiba, Fhatiah Afdhaliyah, Mukhlishah Aglaia, Alifya Nuraisyar Akmal Hidayat Akmal Hidayat Akmal Hidayat Al Imran Alfiani Alfiani Alfiani Ananda, Sukma Riski Ananta Dwi Prayoga Alwy Andi Ahmad Taufiq Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Nurul Izzah Andi Tenriola Andika Isma Anwar Wahid Arifiyanti, Fitria Asis Nojeng Asnur, Muhammad Nur Ashar Asri Ismail Ayu Hasnining Azis Azis Azis Azis, Azis Azzahra Eka Bahar, Muhammad Mahdinul Bakri, Muh. Fajrin Bakri Baso Riadi Husda Baso, Fadhlirrahman Bukhari Naufal Nur Ag Dary Mochamad Rifqie Della Fadhilatunisa Dewi Fatmarani Surianto Dewi, Shabrina Syntha Dirawan, Gufran Darma Edy Sabara Edy, Marwan Ramdhani Eka, Azzahra Fadhlirrahman Baso Fajrin, Farid Fathahillah Fathahillah Fhatiah Adiba Fhatiah Adiba Fitriyanty Dwi Lestary Hamda, Hamda Hanum Zalsabilah Idham Hardy M, Galang Harisma Dita Ansyar Harisma Dita Ansyar Dita Ansyar Hastuti Hidayat, Almisri I Nyoman Prayana Trisna Indanasufya, Indanasufya Indriani, Gebby Irwansyah Suwahyu Israwati Hamsar Iwan Suhardi Jamaluddin Jamaluddin Jamaluddin Jariah S.Intam, Rezki Nurul Jumadi Mabe Parenreng Jumadin Khaeruddin, Faizah Kurnia Prima Putra Lavicza, Zsolt Lestari, Nunik M. Miftach Fakhri M. Syahid Nur Wahid Makmur, Haerunnisya Mangesa, Riana T Mappangara, Surianto Mapparenta, Muwaffiq Nurimansyah Marwan Ramdhany Edy Muh Fuad Zahran Firman Muh. Bhilal Halim Muh. Irfan Nur Muhammad agung Muhammad Agung Muhammad Agung Muhammad Agung Muhammad Akbar Amir Muhammad Akil Muhammad Ansarullah S. Tabbu Muhammad Asriadi Muhammad Fardhan Muhammad Farham Saputra Muhammad hasim Muhammad Nur Yusri Muhammad Yahya Mulia, Musda Rida Nasrullah, Asmaul Husnah NFH, Alifya NIRMALA, PUTRI Novitasari, Ervi Nur Azizah Ayu Safanah Nur, Muh Irfan Nurjannah, Elma Nurul Amanda Pratiwi Hasbullah Nurul Fadhilah Nurul Mukhlisah Abdal Paisal, Destyfaini Perdana, Am Akbar Mabrur Prima Putra, Kurnia Putri Nanda Sari Rahman, Ahmad Fadhli Rahman, Khaidir Ramadhan, Haekal Febriansyah Ramly Ramly Ramly, Ramly Ridwan Daud Mahande Rosidah Rosidah Rosidah Sanatang Sarah Lintang Sariwening Sasmita Sasmita Satnur, Muh. Alham Setialaksana, Wirawan - Soeharto Soeharto Suci Rahmania Sudarmanto Jayanegara Surianto, Dewi Fatmawati Syahrul Syahrul Syahrul Syam, Abd. Azis Trisakti Akbar Udin Sidik Sidin Wahid, M Syahid Nur Wahid, M. Syahid Nur Wahyono Wahyono Wahyu Hidayat M WAHYUDI Wahyudi Wahyudi Wahyudi Wahyudi Wahyuni, Maya Sari Wardani, Ayu Tri Wijayanto, Danur Wilda Inaya Syafdwi Wulandari Wulandari Yususf, Andi Zulfikar