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Journal : JOIV : International Journal on Informatics Visualization

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.
Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95 Arfianto, Afif Zuhri; Rahmat, Mohammad Basuki; Dhiyavia, Fuad; Santoso, Tri Budi; Gunantara, Nyoman; Supriyanto, Eko; Ardhana, Valian Yoga Pudya
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.492

Abstract

Autopilot is a system control application on moving vehicles such as airplanes, helicopters, or boat, which serves to stabilize the direction of motion in the desired time and the programmed path's direction. the autopilot control system is controlled by a series of microcontrollers and GPS that has the function to be able to determine and the desired object. This control system is designed with electrical system controls that utilize microcontrollers, sensor  and GPS as control media. The development of autopilot prototypes is used for testing new control algorithms and the reliability of other electronic components such as sensors and microprocessors. A control system is needed to control the boat to its destination. The relatively accurate system dynamics model affects the steering performance of the autopilot system. The system in question can be considered a boat with an actuator rudder, which experiences external disturbances. this system is broadly divided into two parts: the control station part and the autonomous boat part. These two parts communicate with each other using LoRa device. The data sent from the control station to the autonomous boat is target latitude and longitude coordinates. The autonomous boat will send feedback in the form of boat latitude and longitude coordinates so that users can find out the current location of the boat. Autonomous Boat also provides feedback to the control station via LoRa in the form of boat coordinates so that users can find out the current location of the boat and whether the boat has reached the specified coordinates. The control station will send feedback from the boat to a database that can be monitored via the website to find out the boat's current condition on the website. Based on the  results that have been obtained in the analysis and testing of the system. GPS sensor used in autonomous boat Ublox NEO-7m has an accuracy level with an average distance value of 3.220921 meters with the lowest cold start time of 7 seconds.  Compass sensor used in autonomous boat CMPS11 has an accuracy level with an average value of 3.041667 degrees. Communication distance between autonomous boat and control station using LoRa with 5dBi antenna can reach 1406.79 meters in condition without obstruction between nodes.  Data delivery system can be successfully sent from user to autonomout boat and sending feedback back to user. Delay update of boat coordinate data on interface has the lowest average of 30.8 seconds. Based on turning circle test results, autonomous boat is able to create imperfect circles with a radius of 8,364 m.
Co-Authors Achmad Basuki Achmad, Fariz Afifah, Izza Nur Agus Indra Gunawan Ahmad Baihaqi Adi Putro Ahmad Izzudin Aini, Widyati Nur Aji, Rendra Suprobo Amang Sudarsono, Amang Andang Sudarmono Anggraeni, Martianda Erste Anggraini , Martianda Erste Anisa Rizki Julfatwiah Anteti Andinafar Arfianto, Afif Zuhri Ari Wijayanti Ari Wijayanti Aries Pratiarso Ashafidz Fauzan Dianta, Ashafidz Fauzan Ashafidz Fauzan, Ashafidz Budi Aswoyo, Budi Cahyanto, Erindra Budi Darmawan, Zakha Maisat Eka Dewi, Florista Dhiyavia, Fuad Dinda Ayu Oktaviasari Dwi Susanto Eko Supriyanto Endang Widjiati Faradisa, Rosiyah Faridatun Nadziroh Fathoni, Kholid Fitriana, Azizah Nur Fitriana, Fia Florista Dewi Gamantyo Hendrantoro Hari Wahjuningrat Suparno Harumi, Linda Hary Octavianto I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa, I Gede I Nyoman Gunantara Ika Subekti Wulandari, Ika Subekti Izza Nur Afifah Kanthi Suratih Karimatun Nisa Karimatun Nisa’ Khoirotul Aini, Yulistia Kristyawati, Dian Kurniajaya, Moga M. Hafiduddin Machmud Roby Alhamidi, Machmud Roby Mardawia M Panrereng Megasari, Anis Laela Miftachul Huda Miftahul Huda Mike Yuliana Moga Kurniajaya Moh. Zikky, Moh. Mohamad Ridwan Mohamad Ridwan Mohammad Basuki Rahmat, Mohammad Basuki Mr. Arifin Muhammad Edy Hidayat Muhammad Hafiduddin Muhammad Kholid Saifulloh Mujahidatul Musfiroh Nadziroh, Faridatun Nailul Muna NIHAYATUS SAADAH Nur Adi Siswandari Okkie Puspitorini Okkie Puspitorini, Okkie Paramita Eka Wahyu Lestari Prihantono, Prihantono Prima Kristalina Rahmaningrum, Ainulia Salsabila Raihan, Dafa Ramadhani, Aura Kamilla Rante, Hestiasari Rena Widyaningtyas Reni Soelistijorini Rini Satiti Sa'adah, Nihayatus Salwadilla, Ika Shafira Sendi Eka Nilasari, Sendi Eka Setyani, Rizka Ayu Soelistijorini, Reni Sri Mulyani Sultan Syahputra Yulianto Supriyatno, Abigael Thea Rahmany Susilowati, Amanda Bintang Thariqo Falsafah Titon Dutono Tri Winarno Tri Winarno Umi Fitria P Valian Yoga Pudya Ardhana Wahyu, Gilang Arya Widi Sarinastiti Wirawan Wirawan Yoedy Moegiharto Yudha, Kurniawan Try Zainuddin, Muhammad Agus Zikky, Moh