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All Journal IPTEK Journal of Proceedings Series Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Simantec Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics REKAYASA Jurnal Ilmiah Pangabdhi Panrita Abdi - Jurnal Pengabdian pada Masyarakat Jurnal Teknologi dan Sistem Komputer Knowledge Engineering and Data Science Network Engineering Research Operation [NERO] Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Layanan Masyarakat (Journal of Public Service) JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Pengabdian Masyarakat Charitas Journal of Action Research in Education

Arik Kurniawati

Teknik Informatika, Universitas Trunojoyo Madura

Author-ID : 302116

Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Physics Public Health Social Sciences Other

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Pemanfaatan Tools Animasi Untuk Media Pembelajaran Bagi SMKN 1 Labang Bangkalan Madura Arik Kurniawati; Indah Agustien Siradjuddin; Mochammad Kautsar Sophan; Ariesta Kartika Sari; Puji Rahayu Ningsih; Wanda Ramansyah
JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) VOL. 4 NOMOR 2 SEPTEMBER 2020 JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat)
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

Media pembelajaran merupakan salah satu aspek terpenting dalam proses pembelajaran, karena akan membantu siswa dalam memahami ceramah yang diberikan oleh guru. Seiring tumbuhnya teknologi informasi di Era Industrial 4.0, maka sebaiknya media pembelajaran yang digunakan juga menggunakan teknologi informasi terbaru yang dibuat semenarik mungkin sehingga menimbulkan semangat siswa dalam memperhatikan dan memahami mata pelajaran yang diajarkan. Dalam pengabdian ini, digunakan Animaker, sebagai tools untuk membuat media pembelajaran, karena memiliki banyak fitur, selain itu media ini dapat dilihat dan dipelajari oleh siswa kapan saja, di mana saja dengan smartphone yang mereka miliki. Pemanfaatan tools Animasi sebagai Media Pembelajaran dilakukan di SMKN 1 Labang, Bangkalan, Madura. Ada empat langkah utama untuk membangun media pembelajaran menggunakan Animaker, yaitu menentukan topik ceramah; memilih karakter yang sesuai dan juga property; mendefinisikan adegan; dan langkah terakhir adalah mendesain scene. Bentuk kegiatan ini adalah pelatihan tentang cara membuat media pembelajaran menggunakan Animaker dan selanjutnya adalah pendampingan dalam mengerjakan tugas untuk membuat projek sesuai dengan mata pelajaran yang meraka ajarkan. Berdasarkan pelatihan dan tugas proyek yang diberikan ini, Animaker dapat digunakan sebagai tools yang menarik untuk membuat media pembelajaran.

GAME EDUKASI BERBASIS KINECT UNTUK MEMPERKENALKAN BENTUK DAN WARNA BAGI SISWA BERKEBUTUHAN KHUSUS Ach Khozaimi; Ari Kusumaningsih; Arik Kurniawati; Rima Tri Wahyuningrum
Network Engineering Research Operation Vol 7, No 2 (2022): NERO
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v7i2.424

Pada era digital saat ini, inovasi pembelajaran perlu dilakukan, terutama media pembelajaran bagi siswa atau anak berkebutuhan khusus. Banyak media pembelajaran yang sudah dikembangkan oleh para peneliti, namun masih belum bisa memikat minat siswa untuk menggunakannya karena dianggap kurang menarik. Anak berkebutuhan khusus membutuhkan pola pembelajaran khusus untuk meningkatkan kemampuan dasar akademik, kognitif, dan psikomotorik mereka. Dalam penelitian ini telah dilakukan pengembangan dan uji kelayakan media pembelajaran berupa game edukasi yang dirancang untuk meningkatkan rasa ingin tahu dan motivasi belajar dan berlatih bagi anak dengan kebutuhan khusus, menggunakan metode ADDIE. Penelitian ini menghasilkan sebuah game edukasi sebagai pendekatan baru untuk mengenalkan bentuk dan warna kepada anak berkebutuhan khusus. Game ini juga menggunakan kontroler Microsoft Kinect yang akan membantu perkembangan motorik kasar pada anak berkebutuhan khsusus karena anak akan memainkan game ini dengan menggerakkan tangan dan badannya. Berdasarkan hasil angket kepada guru yang sudah mencoba game edukasi ini menyatakan layak dengan nilai rata-rata 3.10 berdasarkan empat kategori skala Likert.

Automatic note generator for Javanese gamelan music accompaniment using deep learning Arik Kurniawati; Eko Mulyanto Yuniarno; Yoyon Kusnendar Suprapto; Aditya Nur Ikhsan Soewidiatmaka
International Journal of Advances in Intelligent Informatics Vol 9, No 2 (2023): July 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i2.1031

Javanese gamelan is a traditional form of music from Indonesia with a variety of styles and patterns. One of these patterns is the harmony music of the Bonang Barung and Bonang Penerus instruments. When playing gamelan, the resulting patterns can vary based on the music’s rhythm or dynamics, which can be challenging for novice players unfamiliar with the gamelan rules and notation system, which only provides melodic notes. Unlike in modern music, where harmony notes are often the same for all instruments, harmony music in Javanese gamelan is vital in establishing the character of a song. With technological advancements, musical composition can be generated automatically without human participation, which has become a trend in music generation research. This study proposes a method to generate musical accompaniment notes for harmony music using a bidirectional long-term memory (BiLSTM) network and compares it with recurrent neural network (RNN) and long-term memory (LSTM) models that use numerical notation to represent musical data, making it easier to learn the variations of harmony music in Javanese gamelan. This method replaces the gamelan composer in completing the notation for all the instruments in a song. To evaluate the generated harmonic music, note distance, dynamic time warping (DTW), and cross-correlation techniques were used to measure the distance between the system-generated results and the gamelan composer's creations. In addition, audio features were extracted and used to visualize the audio. The experimental results show that all models produced better accuracy results when using all features of the song, reaching a value of around 90%, compared to using only 2 features (rhythm and note of melody), which reached 65-70%. Furthermore, the BiLSTM model produced musical harmonies that were more similar to the original music (+93%) than those generated by the LSTM (+92%) and RNN (+90%). This study can be applied to performing Javanese gamelan music.

Optimizing Diabetic Neuropathy Severity Classification Using Electromyography Signals Through Synthetic Oversampling Techniques Purnawan, I Ketut Adi; Wibawa, Adhi Dharma; Kurniawati, Arik; Purnomo, Mauridhi Hery
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 3 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i3.85675

Electromyography signals are electrical signals generated by muscle activity and are very useful for analyzing the health conditions of muscles and nerves. Data imbalance is a prevalent issue in EMG signal data, especially when addressing patients with varied health conditions and restricted data availability. A major difficulty for machine learning models is class imbalance in datasets, which frequently leads to biased predictions favoring the dominant class and neglecting the minority classes. The data augmentation method employs the Synthetic Minority Over Sampling Technique (SMOTE) and Random Over Sampling (ROS) to address data imbalances and enhance the performance of classification models for underrepresented classes. This study employs an oversampling technique to enhance the efficacy of the XG Boost model. SMOTE exhibits better efficacy relative to competing methods; the application of appropriate oversampling techniques allows models to integrate patterns from both majority and often neglected minority data.

Implementasi Metode Euclidean Distance untuk Rekomendasi Ukuran Pakaian pada Aplikasi Ruang Ganti Virtual Rizaldi, Rezky; Kurniawati, Arik; Angkoso, Cucun Very
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 2: April 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Perkembangan jual beli garmen secara online, dihadapkan pada kenyataan adanya 70% pengembalian produk oleh pembeli, akibat ketidaksesuaian antara harapan dan kenyataan model serta ukuran garmen. Kehadiran virtual fitting room secara online, diharapkan mampu mengurangi adanya pengembalian produk, memberikan pengaruh positif terhadap keistimewaan suatu produk, keinginan untuk membeli dan kepastian membeli secara online. Virtual Fitting Room ini bisa diimplementasikan pada toko online ataupun toko baju seperti biasa. Tahapan penelitian meliputi : penerapan teknologi kinect untuk mendapatkan data skeleton dari calon pembeli yang digunakan sebagai dasar untuk memberikan rekomendasi ukuran pakaian, selanjutnya perhitungan euclidean distance digunakan untuk menghitung ukuran punggung calon pembeli dan terakhir penerapan teknologi augmented reality untuk menampilkan pakaian virtual 3 dimensi yang melekat tepat di badan calon pembeli. Sistem rekomendasi ini mampu menampilkan calon pembeli dengan menggunakan baju virtual 3 dimensi yang sesuai dengan ukuran rekomendasi dari sistem (S,M,L, atau XL). Sistem ini juga memberikan fitur bagi calon pembeli untuk mencoba model pakaian lainnya. Sistem dapat memperlihatkan baju virtual 3 dimensi yang tetap melekat pada badan calon pembeli, ketika melakukan rotasi ke kanan 900, ke kiri 900, balik kanan 1800 dan balik kiri 1800. Hasil uji coba sistem rekomendasi ukuran pakaian ini akan berjalan secara optimal jika pengaturan ketinggian kinect sebesar 55 cm dari tanah. Untuk ketinggian kinect 55cm, 65cm dan 75 cm dari tanah, sistem ini mampu menyajikan kesesuaian rekomendasi ukuran dibandingkan dengan ukuran asli dari calon pembeli sebesar 70%. Kata kunci: kinect, augmented reality, euclidean distance, virtual fitting room AbstractThe development of online garment sale, faced with the fact that there is 70% return of product by the buyer, due to a mismatch between expectation and reality of model and garment size. The presence of virtual fitting room in the online store is expected to reduce the return of products, give a positive influence on the privilege of a product, the desire to buy and certainty to buy online. Virtual Fitting Room can be implemented in the online store or clothing store as usual. The research stages include the application of Kinect technology to obtain skeleton data from prospective buyers used as a basis for providing system recommendations, then euclidean distance calculation is used to calculate the size back potential buyers, and lastly application of augmented reality technology to display the right three-dimensional virtual clothing in potential buyer body. This recommendation system can present potential buyers by using 3-dimensional virtual shirts attached to their bodies by the recommended size of the system (S, M, L, or XL). This system also provides features for potential buyers to try other clothing models. The system can show a 3-dimensional virtual shirt that remains attached to the body of potential buyers, while rotating right 900, left 900, right turn 1800 and left turn 1800. The test results of this clothing size recommendation system will run optimally if the Kinect height setting of 55 cm from the ground. For the Kinect height of 55cm, 65cm and 75cm from the ground, the system can present the recommended size with the original size of the potential buyer of 70%. Keywords: kinect, augmented reality, euclidean distance, virtual fitting room

Perancangan Aplikasi Learning By Doing Interaktif Untuk Mendukung Pembelajaran Bahasa Pemrograman Sophan, Mochammad Kautsar; Kurniawati, Arik
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 2: April 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

AbstrakPembelajaran bahasa pemrograman adalah salah satu mata kuliah dasar untuk mengembangkan kompetensi keahlian pemrograman di bidang teknik Informatika, salah satunya adalah mata kuliah Algoritma dan Pemrograman. Sesuai dengan analisis instruksional, mata kuliah ini memberikan kompetensi tentang konsep dasar Algoritma Pemrograman yang akan menjadi dasar bagi pengembangan dan penerapan mata kuliah-mata kuliah selanjutnya. Banyak mahasiswa kurang memahami dasar-dasar pemrograman, sehingga menemui kesulitan ketika mengerjakan tugas-tugas mata kuliah yang membutuhkan keahlian pemrograman.Melalui inovasi pembelajaran ini, dikembangkan sebuah media pembelajaran baru dan interaktif bagi mahasiswa dengan mengintegrasikan berbagai faktor yang mempengaruhi permasalahan yang telah disebutkan sebelumnya. Aplikasi learning by doing interaktif untuk mendukung pembelajaran bahasa pemrograman ini dibangun menggunakan pendekatan Web Framework menggunakan Codeigniter. Aplikasi ini juga memanfaatkan fitur share kode pemrograman yang dikembangkan oleh Trinket. Hasil penelitian menunjukan bahwa kebermanfaatan aplikasi ini mampu membuat ketertarikan tehadap belajar pemrograman sebesar 79%. Ketertarikan yang tinggi ini membuat mahasiswa sering mencoba kode-kode program secara mandiri sehingga jumlah mahasiswa yang lulus dengan kemampuan baik selisihnya 14% dibandingkan dengan pembelajaran biasa.Kata kunci: bahasa pemrograman, pembelajaran, learning by doing, trinket AbstractLearning programming language is one of the basic courses to develop the competence of programming skills in Informatics engineering, one of which is the course of Algorithm and Programming.Based on instructional analysis, this lectures provides competence on the basic concepts of Programming Algorithm which will be the basis for the development and application of further lectures. Many students do not understand the basics of programming, so they have difficulty when get assignment that require programming skills.This learning innovation, developed an interactive new learning media that can minimize several factors that affect student learning problems.Application "learning by doing Interactive" to support Learning Programming Language was built using a Web Framework approach using Codeigniter.This application also utilizes the programming code share feature developed by Trinket.The results showed that the usefulness of this application is able to make an interest in learning programming by 79%.This high attractiveness makes students often try the program codes independently and result the ability of the number of students who graduated with a good is 14% compared with ordinary learning.Keywords: programming language, learning, trinket

Innovative AI-Based Digital Learning through E-Books and Videos: A Strategy to Support the Merdeka Curriculum in Primary Schools Arik Kurniawati; Puji Rahayu Ningsih; Aminah Dewi Rahmawati
Journal of Action Research in Education Vol. 3 No. 1: 2025
Publisher : Sekolah Tinggi Agama Islam Nurul Islam Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52620/jare.v3i1.179

This project aims to enhance teachers' ability to use AI-based digital learning media, such as videos and digital books, to implement the Merdeka Curriculum in elementary schools. Participatory action research was used as the research method, and the activities were implemented at SDIT Ulil Albab Kamal Bangkalan in the form of initial observations, training sessions, project facilitation, and evaluations. The result of the pre-training survey showed that most of the teachers were unfamiliar with how AI can be relevant to education materials. Training increased the knowledge and skills of teachers, as evidenced by their ability to create innovative, curriculum-based teaching videos and digital books with interactive content. This study demonstrates that incorporating AI into teacher preparation enhances teaching quality and reinforces teachers' roles as 21st-century learning facilitators.

Branding Desa Paseseh sebagai Desa Eduwisata Melalui Pengembangan Web dan Galeri Batik sebagai Pusat Informasi Online dan Offline Ernaning Widiaswanti; Retno Indriartiningtias; Arik Kurniawati; Ahmad Jauhari
Jurnal Pengabdian Masyarakat Charitas Vol. 5 No. 02 (2025): Jurnal Pengabdian Masyarakat Charitas Desember 2025
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Katolik Indonesia Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/charitas.v5i02.7229

This community service activity is part of the Bima Program Community Service Grant in the form of KKNT organized by DIKTI. This KKNT was held in Paseseh Village, Tanjungbumi, Bangkalan, Madura. There are several objectives and outcomes to be achieved in this KKNT, but this article focuses on the main issue related to branding Paseseh Village as a Batik Educational Tourism Village. Branding is carried out by designing a website and improving the mini batik gallery, which functions not only as a marketing center for batik products, but also as an information center for everything related to batik, information about Paseseh Village, and the tourism potential there. With this online and offline branding, it is hoped that more Indonesians will recognize Paseseh Village as an Educational Tourism Village.

The Comparison of GAN and CNN Models in the Innovation of Coloring Madura and Bali Batik Yohan Permana; Arik Kurniawati; Fitri Damayanti; I Ketut Adi Purnawan
JAREE (Journal on Advanced Research in Electrical Engineering) Vol. 9 No. 2 (2025): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i2.467

This study aims to innovate automatic coloring of batik patterns using deep learning models. Specifically, it compares the performance of Generative Adversarial Network (GAN) with pretrained Caffe-based Convolutional Neural Networks (CNN) in coloring images of Madura and Bali batik. The dataset consists of 388 Madura batik images for training, 97 for validation, and 20 distinct images of both Bali and Madura batik for testing. This dataset was obtained through web scraping from batik posts on social media platforms like Instagram, Bing Image Search using specific keywords, and Kaggle, followed by a manual combination and cleaning process. The GAN model was trained with varying epochs (40, 80, 150), while the CNN utilized pretrained Caffe weights. Evaluation was conducted using Peak Signal-to-Noise Ratio (PSNR), Fréchet Inception Distance (FID), Mean Squared Error (MSE), and Structural Similarity Index (SSIM). The results indicate that the GAN model with 150 epochs outperformed the CNN, achieving a PSNR of 29.702, an FID of 84.016, an MSE of 511.8812, and an SSIM of 0.9925, demonstrating superior color creation and artistic detail in batik. Conversely, the CNN model exhibited lower performance, with a PSNR of 28.218, an FID of 200.271, and an SSIM of 0.7925, indicating its limitations in preserving the intricate patterns and colors of batik. This research demonstrates the applicability of GAN in automatic batik coloring, potentially providing innovative solutions for the batik industry while maintaining the cultural and artistic integrity of traditional designs.

Deep Learning for Multi-Structured Javanese Gamelan Note Generator Kurniawati, Arik; Yuniarno, Eko Mulyanto; Suprapto, Yoyon Kusnendar
Knowledge Engineering and Data Science
Publisher : citeus

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

Javanese gamelan, a traditional Indonesian musical style, has several song structures called gendhing. Gendhing (songs) are written in conventional notation and require gamelan musicians to recognize patterns in the structure of each song. Usually, previous research on gendhing focuses on artistic and ethnomusicological perspectives, but this study is to explore the correlation between gendhing as traditional music in Indonesia and deep learning technology that replaces the task of gamelan composers. This research proposes CNN-LSTM to generate notation of ricikan struktural instruments as an accompaniment to Javanese gamelan music compositions based on balungan notation, rhythm, song structure, and gatra information. This proposed method (CNN-LSTM) is compared with LSTM and CNN. The musical data in this study is represented using numerical notation for the main melody in balungan notation. The experimental results showed that the CNN-LSTM model showed better performance compared to the LSTM and CNN models, with accuracy values of 91.9%, 91.5%, and 91.2% for CNN-LSTM, LSTM, and CNN, respectively. And the value of note distance for the Sampak song structure is 4 for the CNN-LSTM model, 8 for the LSTM model, and 12 for the CNN model. The smaller the note distance, the closer it is to the original notation provided by the gamelan composer. This study provides relevance for novice gamelan musicians who are interested in learning karawitan, especially in understanding ricikan struktural music notation and gamelan art in composing musical compositions of a song.

Co-Authors ACHMAD FAUZI Adhi Dharma Wibawa, Adhi Dharma Aditya Nur Ikhsan Soewidiatmaka Ahmad Jauhari Aminah Dewi Rahmawati Angkoso, Cucun Very Ari Kusumaningsih Ariesta Kartika Sari Ariesta Kartika Sari Eko Mulyanto Yuniarno Eko Mulyanto Yuniarno Ernaning Widiaswanti Firli Irhamni Fitri Damayanti I Ketut Adi Purnawan Khozaimi, Ach. Mauridhi Hery Purnomo Mochammad Kautsar Sophan Muhammad Faqih Muhammad Faqih Puji Rahayu Ningsih Puji Rahayu Ningsih Retno Indriartiningtias Rima Tri Wahyuningrum Rizaldi, Rezky Septian Rahman Hakim Siradjuddin, Indah Agustien Wanda Ramansyah Yanuar Aliffio Yohan Permana Yonathan Fery Hendrawan Yoyon Kusnendar Suprapto

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