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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Media Infotama Jurnal Pseudocode Jurnal Informatika Upgris Sistemasi: Jurnal Sistem Informasi INTECOMS: Journal of Information Technology and Computer Science Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JE (Journal of Empowerment) JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Progresif: Jurnal Ilmiah Komputer Jurnal Pengabdian Masyarakat Bumi Raflesia JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Empowerment Community Prima Abdika: Jurnal Pengabdian Masyarakat Djtechno: Jurnal Teknologi Informasi Jurnal Abdimas Serawai International Journal of STEM Education for Sustainability Jurnal Media Computer Science JIMAKUKERTA Malcom: Indonesian Journal of Machine Learning and Computer Science Mestaka: Jurnal Pengabdian Kepada Masyarakat Kreativitas Pada Pengabdian Masyarakat (Krepa) Jurnal Komputer Indonesia Kohesi: Jurnal Sains dan Teknologi Jurnal INFOTEL Jurnal Al-Maun Abdi Reksa Jurnal Pengabdian Masyarakat Tekno Jurnal TAM (Technology Acceptance Model) Jurnal Komputer, Informasi dan Teknologi

Muntahanah, Muntahanah

Universitas Muhammadiyah Bengkulu

Author-ID : 1162850

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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PEMBUATAN MEDIA PEMBELAJARAN DAN POSTER DENGAN CANVA UNTUK MENINGKATKAN KREATIVITAS SISWA SERTA GURU SMK NEGERI 1 BUNGO -, Rozali Toyib; Hidayah, Agung Kharisma; Darnita, Yulia; Muntahanah, Muntahanah; Hendri, Sastya; Diana, Diana; Witriyono, Harry
Journal of Empowerment Community Vol. 6 No. 1 (2024): Maret 2024
Publisher : Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/jec.v6i1.1315

Media pembelajaran membutuhkan kreativitas baik dari siswa maupun guru. sangat penting untuk dapat mengatur materi kelas yang menarik secara visual seperti presentasi, poster, kegiatan kelompok, materi kelas virtual seperti latar belakang Zoom atau Google Meet, dekorasi kelas, infografis, template video, dan materi lain yang memerlukan pelatihan khusus agar guru dan siswa dapat berdiskusi menggunakan Canva dalam pembuatan media pembelajar dan poster , menjadi kreatif dan mandiri secara artistik. Pengabdian kepada masyarakat ini bertujuan untuk memberikan inovasi kepada siswa dan guru untuk menghasilkan desain grafis berkualitas tinggi dengan tenaga minimal, dan kurikulum Merdeka memasukkan elemen digitalisasi yang mendorong guru dan siswa lebih kreatif dalam mengajar melalui berbagai platform yang tersedia di dunia maya. dan kebutuhan belajar. Metode atau pendekatan yang digunakan dalam kegiatan program PKM meliputi pelatihan pengembangan tentang media pembelajaran dan pembuatan poster menggunakan canva untuk siswa serta guru-guru. Kesimpulan : tingkat partisipasi guru dalam kegiatan tinggi , guru dapat dilatih untuk pelatihan, mereka dapat menggunakan sumber belajar selama pelatihan dalam kegiatan pengajaran dan pendidikan di sekolah, pelatihan berkelanjutan dengan topik masa depan saat ini diperlukan. Kata Kunci: media pembelajaran, krativitas, poster, canva.

KLASIFIKASI UKURAN TELUR AYAM MENGGUNAKAN CANNY, EKSTRAKSI FITUR, DAN CNN Muntahanah, Muntahanah; Nur'aini, Shandra; Darnita, Yulia; David Maria Veronika, Nuri
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13751

Klasifikasi ukuran telur ayam merupakan aspek penting dalam industri peternakan untuk meningkatkan efisiensi dalam penanganan dan distribusi. Saat ini, proses klasifikasi masih banyak dilakukan secara manual, yang rentan terhadap kesalahan dan kurang efisien. Penelitian ini bertujuan mengembangkan sistem klasifikasi otomatis menggunakan metode deteksi tepi Canny, ekstraksi fitur citra, dan Convolutional Neural Network (CNN). Metode ini dipilih karena kemampuannya mengidentifikasi objek secara akurat dengan pemrosesan yang lebih cepat dibandingkan metode konvensional. Penelitian dilakukan dengan tahap pengolahan citra, ekstraksi fitur seperti luas, perimeter, eccentricity, dan solidity, serta pelatihan model CNN menggunakan dataset telur berbagai ukuran. Hasil pengujian menunjukkan bahwa sistem yang dikembangkan mencapai akurasi 100%, presisi 100%, dan recall 100%, membuktikan efektivitas metode yang diterapkan. Pendekatan ini menawarkan solusi yang lebih efisien dalam klasifikasi ukuran telur, mendukung otomatisasi di industri peternakan, serta meningkatkan konsistensi dan akurasi dalam distribusi telur.

IMPLEMENTATION OF BILATERAL FILTERING FOR AESTHETIC ENHANCEMENT OF FACIAL IMAGES Wijaya, Ardi; Febriani, Lovi; Muntahanah, Muntahanah; Veronika, Nuri David Maria
Jurnal TAM (Technology Acceptance Model) Vol 16, No 1 (2025): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v16i1.1803

Digital image is a representation of an image in the form of pixels arranged in a matrix. The image processing process includes acquisition, analysis, and manipulation to produce the desired output. In photography and social media, digital images play an important role in attracting attention. However, photos often experience problems such as noise and uneven lighting, which can reduce image quality. Therefore, image enhancement is needed to overcome these problems. The Bilateral Filtering method is one of the techniques that is very effective in reducing noise by considering the special distance and intensity differences between pixels, so that it can maintain the clarity of important elements in the image. This study aims to implement this technique in improving the aesthetics of facial images and evaluate its effectiveness in producing more attractive and high-quality images. from 50 datasets taken. The results of the study showed that Bilateral Filtering was able to improve the clarity of facial images without eliminating important details. The evaluation was carried out using image quality parameters such as PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index), which showed an increase in quality after the application of this method. In terms of user satisfaction, the results of the questionnaire showed that the satisfaction level reached 86.38%, which based on Table 5 is included in the "very good" category. Thus, the Bilateral Filtering method not only successfully improves the image quality without losing important details on the face. Objectively, but also provides high satisfaction for users in terms of aesthetics and visual comfort.

Analisis Efektivitas Pengenalan Perintah Suara Menggunakan Algoritma Machine Learning untuk Mendukung Pembelajaran Digital di Wilayah Bengkulu Putra, Fherdi Hunata; Albar, Ahmad Rere; Kurniawan, Andre; Okta, Leo; Akbar, Anggi Sunata Nur; Fitriah, Fitriah; Muntahanah, Muntahanah
Mestaka: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 4 (2025): Agustus 2025
Publisher : Pakis Journal Institute

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

This study aims to evaluate the effectiveness of a voice command recognition system based on Machine Learning algorithms in supporting digital learning at Panti Asuhan Kasih Sayang, Bengkulu City. Four models were tested: DNN, LSTM, CNN, and Transformer. The Transformer model demonstrated the best performance with an accuracy of 93.4%, precision of 91.8%, recall of 92.1%, and F1-score of 92.0%, followed by LSTM with 90.2% accuracy, and DNN as the baseline with 84.7%. The system was tested in real-time with an average latency of 320ms and handled up to 28 voice commands per minute. The use of this system increased participants’ post-test scores by an average of 18 points and enhanced learning engagement by 85%. Qualitative data from interviews and focus group discussions indicated that the system supported students who struggle with text-based interfaces and was perceived as interactive and easy to use. These findings show that ASR based on Machine Learning is effective in low-resource settings and supports more inclusive learning aligned with the principles of Society 5.0.

Perbandingan Naïve Bayes dan Support Vector Machine Dalam Analisa Sentimen Tentang Penyitaan Aset Koruptor di Twitter: Comparison of Naïve Bayes and Support Vector Machine in Sentiment Analysis of Confiscation of Corrupt Assets on Twitter sholekhah, Ananda; Muntahanah, Muntahanah
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 3 (2025): MALCOM July 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i3.2068

Analisis sentimen merupakan salah satu pendekatan dalam memahami persepsi publik terhadap isu-isu sosial dan kebijakan pemerintah melalui data teks. Penelitian ini mengkaji opini masyarakat Indonesia terhadap pernyataan Presiden Prabowo Subianto mengenai penyitaan aset koruptor yang berbunyi “Apakah adil anaknya menderita?”. Data dikumpulkan dari Twitter sebanyak 1.561 tweet dalam rentang waktu 9 hingga 25 April 2025 dengan menggunakan kata kunci yang relevan. Proses analisis dilakukan melalui tahap prapemrosesan, pembobotan TF-IDF, dan klasifikasi menggunakan algoritma Naïve Bayes dan Support Vector Machine (SVM). Evaluasi performa model dilakukan menggunakan confusion matrix serta empat metrik evaluasi, yaitu akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa SVM unggul dengan akurasi 70,51% dan F1-score 0,69, sedangkan Naïve Bayes memperoleh akurasi 66,34% dan F1-score 0,66. Sentimen terbanyak berasal dari kelas positif, mengindikasikan mayoritas publik mendukung penyitaan aset koruptor meskipun berdampak pada keluarganya. Penelitian ini memperlihatkan efektivitas pendekatan machine learning dalam memetakan opini publik terhadap isu kebijakan kontroversial di media sosial.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/jec.v6i1.1315

PENERAPAN ALGORITMA NAIVE BAYES PADA APLIKASI PENELUSURAN ALUMNI (TRACER STUDY) BAGI TAMATAN SMKN 2 KOTA BENGKULU susanto, teguh; Muntahanah, Muntahanah
Jurnal Informatika UPGRIS Vol 8, No 2: Desember 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i2.13051

Alumni are a very valuable asset for an educational institution. The success of educational institutions will be greatly influenced by the success of alumni in the process of getting a job or continuing their education. The more alumni who succeed in their work, the better the rating of the educational institution because many companies employ them or who successfully continue their education to the next level. Vocational High School is considered able to answer the problems of employment and unemployment. Vocational education is part of the education system that prepares a person to be better able to work in one occupational group or field of work than in other occupations. SMKs also assist with re-industrialization through three main groups: training young people for work, training current workers, and returning to the workforce. One of the successes of educational institutions can be determined by how successful graduates are when they are in the community. The ratio of graduates who have worked to those who have not worked, the average waiting period for work, the field of work occupied, the amount of income received when they first worked, and others. One method to obtain appropriate data is to use a tracer study, which is an academic activity to obtain feedback from graduates about the relevance of the educational process that has been undertaken with the ability to improve the quality of life of graduates in the community. Tracer study is a tool to obtain data needed for the development of an educational institution. The process of obtaining tracer study data can use a computer connected to the internet so that the process becomes easier because it can be accessed anytime and anywhere. The data obtained from the study tracer is processed according to the need for the data, one method that can be used is NaÃ¯ve Bayes. NaÃ¯ve Bayes algorithm is one of the methods used based on probabilistic reasoning.

DIKLAT RISET TERAPAN BAGI GURU SMK PUSAT KEUNGGULAN Wibowo, Sastya Hendri; Toyib, Rozali; Darnita, Yulia; Muntahanah, Muntahanah; Witriyono, Harry; M. Imanullah, M. Imanullah; Darmi, Yulia
JE (Journal of Empowerment) Vol 3, No 1 (2022): JUNI
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v3i1.2035

Pendidikan dan Pelatihan (Diklat) Riset Terapan merupan salah satu agenda yang terdapat pada pendampingan SMK Pusat Keunggulan. Kegiatan berfokus pada peningkatan keterampilan sumber daya manusia terutama guru yang mengajar di SMK Pusat Keunggulan. Tujuan Pendidikan dan Pelatihan (Diklat) adalah memberikan pelatihan bagai para guru dengan materi tentang hasil riset para instruktur yang juga dosen di Program Studi Teknik Informatika Fakultas Teknik Universitas Muhammadiyah Bengkulu yang dapat kolaborasikan di SMK Pusat Keunggulan,Â seperti animasi dengan open source, dan natural language processing.Â Pelatihan ini berlangsung selama 5 hari dengan metode sinkron dan asinkron.Â Asinkron adalah penyampaian materi secara langsung antara instruktur kepada peserta (luring), sedangkan asinkron adalah penyampaian materi secara tidak langsung atau dalam bentuk tugas mandiri yang telah diberikan oleh instruktur sebelumnya.

Sosialisasi Pembuatan Bahan Ajar Digital Berbasis Pendidikan Karakter Bagi Guru Di Daerah 3T Syahfitri, Jayanti; Muntahanah, Muntahanah; Darmi, Titi
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 6 No. 3 (2023): Juli 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i3.2497

Character education is one of the mental revolution efforts made to instill character in students. Teachers play an important role in producing generations of noble character and morality, including elementary school teachers. Instilling character from an early age is expected to be able to strengthen the foundation in building the nation. The process of cultivating character must be adapted to the stages of student development and the times, so that integrating it into interactive teaching materials will be preferred by students, students can more easily understand the material and have skills that are balanced between science and technology and IMTAQ. To realize this, teachers are required to be able to integrate it into PBM such as teaching materials. However, the facts on the ground show that teachers in partner schools do not really understand the context of character building and apply it to teaching materials. The purpose of this activity is to increase teacher knowledge and skills in designing and integrating character education in digital teaching materials. This service activity is carried out through lecture methods, outreach, training, and discussions involving approximately 17 elementary school teachers. The results of the activity show that in general the teacher already knows the concept of character education, examples of assistive applications in making teaching materials and teachers have been able to design and integrate character education into teaching materials in accordance with the subjects being taught which are then ready to be made into digital teaching materials Keywords: socialization; digital teaching materials; character education Abstrak: Pendidikan karakter merupakan salah satu upaya revolusi mental yang dilakukan untuk menanamkan karakter pada siswa. Guru memegang peranan penting dalam menghasilkan generasi yang berkarakter dan berakhlak mulia, tidak terkecuali guru SD. Penanaman karakter sejak usia dini diharapkan mampu memperkuat pondasi dalam membangun bangsa. Proses penanaman karakter harus disesuaikan dengan tahap perkembangan siswa dan perkembangan zaman, sehingga mengintegrasikannya ke dalam bahan ajar interaktif akan lebih disukai siswa, siswa lebih mudah memahami materi dan memiliki keterampilan yang seimbang antara IPTEK dan IMTAQ. Untuk mewujudkan hal ini guru dituntut mampu mengintergasikannya ke dalam PBM seperti bahan ajar. Namun, fakta dilapangan menunjukkan bahwa guru-guru di sekolah mitra belum terlalu memahami konteks pendidikan karakter serta menerapkannya ke dalam bahan ajar. Tujuan kegiatan ini yaitu meningkatkan pengetahuan dan keterampilan guru dalam mendesain serta mengintegrasikan pendidikan karakter dalam bahan ajar digital. Kegiatan pengabdian ini dilakukan melalui metode ceramah, sosialisasi, pelatihan, dan diskusi dengan melibatkan lebih kurang 17 orang guru SD. Adapun hasil kegiatan menunjukkan secara garis besar guru sudah mengetahui konsep pendidikan karakter, contoh aplikasi bantu dalam membuat bahan ajar dan guru telah mampu mendesain serta mengintegrasikan pendidikan karakter ke dalam bahan ajar sesuai dengan mata pelajaran yang diampu yang kemudian siap untuk dibuat ke dalam bahan ajar digital.Kata kunci: sosialisasi; bahan ajar digital; pendidikan karakter

Pelatihan dan Pendampingan Pembuatan Bahan Ajar Digital Berbasis Artificial Intelligence (AI) Syahfitri, Jayanti; Muntahanah, Muntahanah; Irwandi, Irwandi
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 4 (2024): Oktober 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i4.3356

SD Negeri 140 Seluma has a relatively large number of human resources, both teachers and students. However, this is also a challenge for partner schools where some of the problems that are often faced are the lack of knowledge and competence of teachers in providing digital teaching materials to facilitate differentiated learning, which impacts the formation of students' character optimally. This training and mentoring is an effort to improve teacher knowledge and competence in providing teaching materials. This activity involved 30 teachers through two methods, namely: socialization, training and mentoring (the practice of making AI-based learning videos). The activity results showed that all participants experienced an increase in understanding related to the concept of digital teaching materials and increased competence in making AI-based learning videos. This is evidenced by the products that have been produced by the training participants. Keywords: artificial intelligence; digital teaching materials; training; accompaniment SD Negeri 140 Seluma memiliki SDM dengan jumlah yang relatif banyak baik guru maupun peserta didik. Namun, hal ini sekaligus menjadi tantangan bagi sekolah SD Negeri 140 Seluma dimana beberapa permasalahan yang seringkali dihadapi yaitu masih minimnya pengetahuan dan kompetensi guru dalam menyediakan bahan ajar digital untuk memfasilitasi pembelajaran berdiferensiasi, sehingga berdampak pada pembentukan karakter peserta didik secara optimal. Pelatihan dan pendampingan ini merupakan upaya yang dilakukan untuk meningkatkan pengetahuan dan kompetensi guru dalam menyediakan bahan ajar. Kegiatan ini melibatkan 30 orang guru melalui dua metode yaitu: sosialisasi, pelatihan dan pendampingan (praktik pembuatan video pembelajaran berbasis AI). Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan peserta dalam memproduksi video pembelajaran berbasis AI, yang dibuktikan melalui produk video yang dihasilkan. Kata kunci: artificial Intelligence; bahan ajar digital; pelatihan; pendampingan

Co-Authors -, Rozali Toyib Abdillah, Muhammad Harits Abdullah, Dedy Abdurrasyid, Fakhri Adinda, Fitri Aditya Deko Widodo Adriansyah, M. Ari Afriandi, Rahmad Afrinando Kusnadi Kusnadi Ahmad Novianto Akbar, Anggi Sunata Nur Alam Kurnia Hadi Albar, Ahmad Rere Alexander, Jefri Aliman Dani Alvian Febri Wibianto Andilala Andre Kurniawan Andrian Kuor Nando Andry Sartika Anisyah Oktariani Supriyadi Annisa Sonita Apridiansyah, Yovi Arif Triyandi, Muhammad Beni Juanda Dandi Sunardi Darnita , Yulia Darnita, Yulia David Maria Veronika, Nuri Dedy Abdullah Dedy Abdullah Deliana Putri Deliana Putri Maharani Dian Ariestanto Diana Diana Diana Diana Diatama, Pradika Dinda Khairunisa Egia Apriansyah Eka Sahputra Fadel Muhammad Siregar Febitri, Nora Febriani, Lovi Fira Rahmadhini Fitri Lestari Fitriah Fitriah Geri Melano Evandra Gilang Nurva Wijaya Gilang Pamungkas, Habib Guntur Alam Hadi , Alam Kurnia Harry Witriyono Harry Witriyono Witriyono Hendri, Sastya Herianto, Agib Kristian hidayah, agung kharisma Husni Rifqo, Muhammad Icuk Gempa Ulit Imanullah, Muhammad Indri Dwi Lestari Irvan Dwi Pangestu Islan Wardiman Isnadia, Yusi Jandri M.Siban Jaya Saputera, Juwanda Jefri Alexander Joka Jasri Juanda, Beni Juhardi, Ujang Keken Pinandita Khairullah khairullah Khairullah, Khairullah Khairunnisyah Khairunnisyah Khairunnisyah Khairunnisyah Khairunnisyah, Khairunnisyah Kharisma , Agung Kristian Herianto, Agib Kristika Meza Werda Kusnadi, Afrinando Kusnadi Lidia Lidia Lilian Guntari M. Ari Adriansyah M. Imanullah, M. Imanullah marhalim, marhalim Miko Ansyori Moh Rere Velentino Zantohar Muhammad Arif Triyandi Muhammad Husni Rifqo Muhammad Imanullah Nanda Febrina Nanda Yugo Pangestu Nora Febitri Novrialdi, Tito Nugraha Apriansyah Nur ‘Azah Nur'aini, Shandra Nuri David Maria Veronika Nuri David MV Nuri David Veronika Nuri Vironika Nurlestari, Oktarani Okta, Leo Oktarani Nurlestari Onsardi, Onsardi Pahrizal, Pahrizal Pangestu, Irvan Dwi Pipit Nabila Pradika Diatama Putra, Fherdi Hunata Putra, Iqbal Pratama Putra, Yebri Rahmad Afriandi Rahmadhini, Fira Rama Amandika Ricardo, Ryo Rifqo, Muhammad Husni Rohanan Yusuf Rojali Toyib Rozali Toyib Rozali Toyib Rozali Toyib Ryo Ricardo Safari, Chessar Sahputra , Eka Salsabila, Aprilia Saparudin Saroni Sastia Wibowo Sastya Hendri Wibowo Sastya Hendri Wibowo Sastya Hendri Wibowo Sastya Hendri Wibowo Wibowo Sastya Wibowo Seprianti, Widia sholekhah, Ananda Shopiana, Sella Siregar, Fadel Muhammad Siswahyudianto Sonita , Anisya Sonita, Anisya Sri Ekowati Sri Handayani Sri Handayani Syahfitri, Jayanti Tanjung, Rahman Fadli Taura Nita Teguh Susanto Titi Darmi Tito Novrialdi Toyib, Rozali ujang juhardi Veronika, Nuri David Maria Wahyu Nugroho Wijaya, Ardi Wilio Papian Witriyono , Harry Witriyono, Harry Yanto, Febi Febri Yebri Putra Yolan Pagestu Yulia Darmi Yulia Darnita Yulia Darnita Yulia Darnita Yulia Darnita yulia darnita yulia darnita yulia darnita Yulia Rahmi Yusi Isnadia Yuza Reswan Zainove Sandi

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