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Titon Dutono
Politeknik Elektronika Negeri Surabaya (PENS), Indonesia
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Aplikasi Terapi Digital Anak Penyandang Autism di Komunitas Forkesi Chapter Surabaya Mahmudah, Hani'ah; Pratiarso, Aries; Saleh, Akuwan; Yuliana, Mike; Kristalina, Prima; Samsono Hadi, Moch. Zen; Dutono, Titon; Anisah, Ida; Sa’adah, Nihayatus
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 4, No 2 (2022): BUDIMAS : VOL. 04 NO. 02, 2022
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v4i2.5906

Abstract

Many parents in the Surabaya Chapter Forkesi Community (Indonesian Special Children's Parents Communication Forum) do not understand how to care for and teach children with autism, despite the fact that 50 percent of the members of this community are parents of children with autism. This service aims to assist parents in dealing with their autistic children on a daily basis. Furthermore, to address the issue of disadvantaged children with autism who are unable to participate in therapy or seek treatment from psychologists on a regular basis due to the high expense of doing so. The development of an augmented reality-based android mobile application using the marker method will include learning materials for build a match and WH questions, as well as games to help deepen learning, and will be used in conjunction with the ABA method and DTT technique. In May-July 2021, this service activity was carried out in the Surabaya Chapter Forkesi community. Data collecting, interactions with community members, and direct implementation were the strategies used in this service. According to the findings of the Usability Testing, which received a score of 54.6, parents of children with autism agree on the use of digital therapy via Android mobile app.
Pengembangan dan Penyuluhan Sistem Pemantau Kelembaban dan pH Tanah Tanaman Padi untuk Petani Desa Sambit Nailul Muna; Darwito, Haryadi Amran; Dutono, Titon; Arifin, Arifin; Syahroni, Nanang; Moegiharto, Yoedy; Suparno, Hari Wahjuningrat; Lestari, Paramita Eka Wahyu
Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 5 No. 1 (2024): Vol.5 No.1, October 2024
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/society.v5i1.709

Abstract

Pertanian telah memberikan kontribusi signifikan dalam pertumbuhan ekonomi dan peningkatan pendapatan masyarakat. Namun, perubahan iklim yang ekstrem berdampak pada tingkat kelembaban dan pH tanah, sehingga mempengaruhi produktivitas tanaman padi. Saat ini, petani di Desa Sambit, Kabupaten Ponorogo, Jawa Timur, menghadapi kendala dalam memantau kelembaban dan pH tanah secara efektif. Hal ini mengakibatkan kesulitan bagi petani dalam menyesuaikan penyiraman dan pemberian pupuk sesuai dengan kebutuhan tanaman padi. Berdasarkan permasalahan tersebut, kami bertujuan untuk meningkatkan keterampilan petani dalam mengelola kondisi tanah dengan lebih efektif melalui pengembangan sistem yang memantau kelembaban dan pH tanah secara real-time. Metode  kegiatan  ini  berupa pengembangan dan penyuluhan yang dilakukan melalui beberapa tahapan yang diawali dengan perencanaan yang meliputi wawancara dan survei. Kedua, pembuatan sistem pemantau kelembaban dan pH yang terintegrasi dengan platform Blynk untuk memantau hasil sensor secara real-time. Ketiga, implementasi sistem di lapangan dan terakhir tahap penyuluhan yang mencakup aspek teoritis dan praktis. Hasil dari kegiatan ini yaitu adanya sistem yang dapat membantu petani dalam memantau kelembaban dan pH secara otomatis dan real-time serta kemauan para petani dalam memodernisasi teknologi pertanian untuk mencapai pertanian yang berkelanjutan. Tindak lanjut dari kegiatan ini adalah memonitor respons petani terhadap sistem yang dikembangkan serta memberikan dukungan teknis yang diperlukan agar penggunaan sistem dapat optimal dan berkelanjutan dalam jangka panjang.
Instrumental Music Emotion Recognition with MFCC and KNN Algorithm Santoso, Tri Budi; Dutono, Titon
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3152

Abstract

Every piece of music contains emotion in every sound presented. Detection of the music emotion is quite difficult to do because the emotions felt are subjective. Based on this problem, it is necessary to have an automatic classification system to detect the emotions produced in music. In this paper, an explanation of the result to develop an emotional classification system of instrumental music. This system described the process starting with the receiving an input in the form of a music file in the format wav. Furthermore, the feature extraction process is carried out using Mel-Frequency Cepstral Coefficients (MFCC). The result of the extraction of such features are used in the classification process using the K-Nearest Neighbor (K-NN). The system produced output in the form of happy, relaxed, and sad emotions. The output of the system has a classification achieved an accuracy of 97.5% for the value of k = 1, reaching an accuracy of 95% for the value of k = 2.95% and for k = 3, reaching an accuracy of up to 90%.
Analisis Kompatibilitas Sederhana Terhadap Kemungkinan Layanan Komunikasi Radio Nelayan Tradisional di Laut Jawa dengan Layanan Komunikasi Radio Lain pada Pita Frekuensi 5,2 MHz: A Simple Compatibility Analysis of Possible Traditional Fishermen Radio Communication Across Java Sea with Existing Radio Services in The 5.2 MHz Frequency Band Dutono, Titon
The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i2.3193

Abstract

Interferensi pada pita frekuensi sub-10 MHz yang disebabkan oleh pancaran ilegal oleh nelayan tradisional di sepanjang laut Jawa merupakan masalah kronis yang memerlukan penanganan mendasar untuk memitigasinya. Fihak berwenang kesulitan melokalisasi posisi emisi pancaran ilegal karena selalu bergerak di tengah laut. Oleh karena itu, fihak berwenang sedang mempertimbangkan untuk mencari pita frekuensi yang memungkinkan untuk ditetapkan sebagai alokasi frekuensi baru bagi nelayan tradisional, khususnya di wilayah Laut Jawa. Kami menawarkan segmen pita frekuensi 5,2 MHz untuk menjadi alokasi frekuensi baru ini. Untuk tujuan ini, kami melakukan analisis kompatibilitas sederhana dari pita frekuensi ini. Analisis dilakukan dengan menggunakan dua tahap. Tahap pertama dengan mempelajari regulasi telekomunikasi terkini, kemudian dilanjutkan dengan pemantauan selama satu tahun terhadap kondisi pita frekuensi tersebut. Pemantauan dilakukan pada periode aktifitas matahari minimum dengan memanfaatkan sistem WSPR yang hasilnya akan dibandingkan dengan hasil prediksi dari program aplikasi VOACAP. Hasil analisis dapat disimpulkan bahwa pita 5,2 MHz dapat digunakan oleh masyarakat nelayan tradisional di wilayah Laut Jawa. Oleh karena itu, regulator telekomuniksi dapat mempertimbangkan untuk menetapkan alokasi khusus bagi nelayan lokal di Laut Jawa untuk memanfaatkan pita frekuensi ini.
Indonesian speech emotion recognition: feature extraction and neural network approaches Afifah, Izza Nur; Santoso, Tri Budi; Dutono, Titon
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3769-3778

Abstract

This study explored the challenges of emotion recognition in Indonesian speech using deep learning techniques, addressing the complex nuances of emotional expression in spoken language that posed significant difficulties for automatic recognition systems. The research focused on the application of feature extraction methods and the implementation of convolutional neural networks (CNN) and a hybrid convolutional neural networks-long short-term memory (CNN-LSTM) model to identify emotional states from speech data. By analyzing key features of speech signals, including mel frequency cepstral coefficient (MFCC), zero crossing rate (ZCR), root mean square energy (RMSE), pitch, and spectral centroid, the study evaluated the models’ ability to capture both spatial and temporal patterns in the data. Testing was conducted using an Indonesian dataset comprising 200 samples. The CNN model, utilizing four features (MFCC, ZCR, RMSE, and pitch), and the CNN-LSTM model, which used three features (MFCC, ZCR, and RMSE), both achieved an emotion classification accuracy of approximately 88%. The result showed that the CNN-LSTM model achieved comparable performance with a simpler feature set compared to the CNN model. This highlighted the significance of choosing the appropriate techniques in feature extraction and classification to enhance the accuracy of identifying emotions from speech data while also managing computational complexity.
Sistem Deteksi Dini Bencana Banjir di Lingkungan Masyarakat Keputih Surabaya Lestari, Paramita; Darwito, Haryadi Amran; Muna, Nailul; Dutono, Titon; Arifin, Arifin; Syahroni, Nanang; Rizki, Aris Bahari; Suparno, Hari Wahyuningrat; Supriyanto, Eko; Hakum, Fadhil Ahnaf Taufiqul; Arifin, M. Zainul; Wicaksono, Syahrul; Christinanda, Mitchell Onesimus; Rizqi, Karisma Nur
Sewagati Vol 9 No 4 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i4.6549

Abstract

Banjir adalah bencana alam yang sering melanda Indonesia, termasuk wilayah Keputih, Surabaya, yang mengalami genangan akibat tingginya curah hujan dan aliran air yang tidak lancar. Penyebab banjir di daerah ini meliputi intensitas hujan yang tinggi, terbatasnya daerah resapan, saluran sungai yang tersumbat sampah, dan tata ruang kota yang kurang mendukung sistem drainase yang optimal. Untuk mengatasi masalah ini, telah dikembangkan sistem deteksi dini banjir yang terintegrasi dengan smart PJU (Penerangan Jalan Umum). Sistem ini memanfaatkan data curah hujan dan ketinggian air yang dipantau di sejumlah ruas jalan di kawasan Keputih, beroperasi secara real-time, dan melaporkan hasil pemantauan melalui platform website monitoring. Selain itu, sistem ini dilengkapi dengan aktivasi sirine buzzer saat potensi banjir terdeteksi. Aplikasi website monitoring dapat diakses melalui perangkat ponsel, sehingga masyarakat dapat memantau situasi banjir kapan saja dan di mana saja. Sistem ini sangat membantu warga sekitar keputih untuk lebih antisipasi akan bencana banjir ketika curah hujan di wilayah tersebut sedang tinggi dan pengembangan kedepannya dilakukan analisis dan klasifikasi curah hujan untuk meningkatkan keberlanjutan pengembangan dan pengelolaan di lingkungan Kelurahan Keputih.
Aplikasi Terapi Digital Anak Penyandang Autism di Komunitas Forkesi Chapter Surabaya Mahmudah, Hani'ah; Pratiarso, Aries; Saleh, Akuwan; Yuliana, Mike; Kristalina, Prima; Samsono Hadi, Moch. Zen; Dutono, Titon; Anisah, Ida; Sa’adah, Nihayatus
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 4 No. 2 (2022): BUDIMAS : VOL. 04 NO. 02, 2022
Publisher : LPPM ITB AAS Indonesia Surakarta

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

Abstract

Many parents in the Surabaya Chapter Forkesi Community (Indonesian Special Children's Parents Communication Forum) do not understand how to care for and teach children with autism, despite the fact that 50 percent of the members of this community are parents of children with autism. This service aims to assist parents in dealing with their autistic children on a daily basis. Furthermore, to address the issue of disadvantaged children with autism who are unable to participate in therapy or seek treatment from psychologists on a regular basis due to the high expense of doing so. The development of an augmented reality-based android mobile application using the marker method will include learning materials for build a match and WH questions, as well as games to help deepen learning, and will be used in conjunction with the ABA method and DTT technique. In May-July 2021, this service activity was carried out in the Surabaya Chapter Forkesi community. Data collecting, interactions with community members, and direct implementation were the strategies used in this service. According to the findings of the Usability Testing, which received a score of 54.6, parents of children with autism agree on the use of digital therapy via Android mobile app.
Speech Emotion Recognition of Indonesian Movies by Using Convolutional Neural Network Santoso, Tri Budi; Khoirotul Aini, Yulistia; Dutono, Titon
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.3552

Abstract

Speech emotional recognition (SER) is one of the interesting research areas of human-computer interaction (HCI) systems. The objective of this study is to provide a basis for a basic model of Indonesian-language speech emotional recognition, which is achieved by utilizing dialogues from an Indonesian-language movie.  The process began by developing a dataset from film dialogue and grouping it into four emotion classes: angry, happy, neutral, and sad. The development of the datasheet produced 5049 data points consisting of 1202 for anger, 1228 for happy, 2075 for neutral, and 899 for sad. This study uses the Mel-frequency cepstral coefficients (MFCC) method to analyze audio features from Indonesian-language movies and employs a Convolutional Neural Network (CNN) for clustering. The process began with MFCC feature extraction. During training, an accuracy of 85.85% was achieved, and during testing, 83.35%. Based on a series of tests carried out with various improvements to the previous process, a description of this system's behavior is obtained from a confusion matrix. Angry, happy, and sad expressions are easier to recognize than neutral expressions. The behavior of neutral expressions is flat in energy levels and other features. In the future, we hope it can be developed into a cross-corpus model and applied to speakers from various cultures.
Co-Authors Afifah, Izza Nur Ahmad Izzudin Amang Sudarsono, Amang Anindya Dwi Putri Islamidina Anisah, Ida Ari Wijayanti Aries Pratiarso, Aries Arifin Arifin Bima Sena Bayu Dewantara Bustamir Arif Christinanda, Mitchell Onesimus Darwito, Haryadi Amran Denny Setiawan Dinda Ayu Oktaviasari Eko Supriyanto Hakum, Fadhil Ahnaf Taufiqul Hari Wahjuningrat Suparno Hary Octavianto Izza Nur Afifah Karimatun Nisa Khoirotul Aini, Yulistia Lestari, Paramita Lestari, Paramita Eka Wahyu Linda Indrayanti M. Zainul Arifin Mahmudah, Hani'ah Mike Yuliana Mirza Ardiana Moga Kurniajaya Mohamad Ridwan Muhammad Kholid Saifulloh Muna, Nailul Nailul Muna Nur Adi Siswandari Okkie Puspitorini Paramita Eka Wahyu Lestari Prima Kristalina Rena Widyaningtyas Rini Satiti Rizki, Aris Bahari Rizqi, Karisma Nur Sa’adah, Nihayatus Saleh, Akuwan Samsono Hadi, Moch. Zen Sa’adah, Nihayatus Suparno, Hari Wahjuningrat Suparno, Hari Wahyuningrat Syahroni, Nanang Thariqo Falsafah Tri Budi Santoso Tri Budi Santoso Tri Budi Santoso Tribudi Santoso Wicaksono, Syahrul Wirawan Wirawan Yoedy Moegiharto, Yoedy Yulistia Khoirotul Aini Zulmi Zakariyah Zulmi Zakariyah