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DEVELOPING PROBLEM BASED LEARNING (PBL)-ORIENTED PICTORIAL STORY MATERIALS ASSISTED BY ANDROID TO IMPROVE SCIENCE LEARNING OUTCOMES Siti Zulifah; Murtono; Santoso
Jurnal PAJAR (Pendidikan dan Pengajaran) Vol. 4 No. 6 (2020): November
Publisher : Laboratorium Program Studi Pendidikan Guru Sekolah Dasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/pjr.v4i6.8088

Abstract

This study aimed to develop a Problem Based Learning (PBL)-oriented pictorial story materials assisted by android to improve science learning outcomes at grade IV Elementary School. The approach used in this study was research and development (R&D) with mixed methods design. The subjects in this study were students at grade IV SDN 1 and 2 Manyargading, SDN 1 and 2 Bandungrejo, and SDN Teluk Kulon Kabupaten Jepara. Data were collected by using questionnaires, observations, interviews, and documentation. The PBL-oriented pictorial story materials assisted by android media were developed by referring to the stages of development proposed by Borg and Gall. The results showed that PBL-oriented pictorial story materials assisted by android were feasible to improve science learning outcomes. This was based on the results of the validity test, the effectiveness test, and the practicality test of the materials. The result of validity test revealed that the assessment from the material, media, and language experts as well as the practitioners was good. Then, the result of the effectiveness test indicated that students’ learning outcomes increased from an average pretest of 51.2 to 76.8 in the posttest. The result of main field testing found that the average score of the students’ learning outcomes in the experimental class was (86.5), which was better than the score in the control class (73.2). The result of paired-sample test showed that the value of p = 0.000 (p < 0.05), meaning that there were significant differences in the students’ learning outcomes in the experimental and control class. Thus, it was said that PBL-oriented pictorial story materials assisted by android were effective to improve science learning outcomes. Finally, the result of practicality test obtained that PBL-oriented pictorial story materials assisted by android received a good response from students and teachers.
Voice Command Recognition Using CNN-LSTM Parallel Architecture Santoso; Tri Arief Sardjono; Djoko Purwanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.23855

Abstract

A parallel convolutional neural network–long short-term memory (CNN–LSTM) architecture is introduced for voice command recognition, designed to simultaneously extract spatial and temporal features from speech signals. Conventional serial architectures process these components sequentially, which can lead to the loss of temporal information after CNN-based spatial compression. This study aimed to improve recognition performance by preserving complementary spectral and temporal representations through parallel feature modeling. In the proposed approach, the CNN branch extracted spectral features from Mel-frequency cepstral coefficients (MFCCs), while the LSTM branch independently modeled long-term temporal dependencies from the same input stream. The outputs from both branches were fused through concatenation to form a comprehensive acoustic representation enhancing discrimination between phonetically similar commands. The model was trained and evaluated using a dataset containing eight classes of spoken commands. During training, the proposed model achieved a loss of 0.0186 and an accuracy of 99.87%, indicating effective learning. On the validation and test datasets, the model reached an accuracy of 89.16%, demonstrating stable convergence and consistent generalization performance. Evaluation using precision, recall, and F1 score metrics confirmed balanced recognition across classes, with particularly high accuracy for commands such as “stop,” “right,” and “yes,” while “go” and “no” showed lower accuracy due to acoustic similarity. In conclusion, the proposed parallel CNN–LSTM architecture effectively integrates convolutional and recurrent learning, resulting in improved recognition accuracy and robust performance with strong potential for real-time voice control and embedded applications.
Co-Authors Abe Wisnu Syaputra Adi Asmara Adinda S., Kasih Agoeng Noegroho, Agoeng Agus Haryanto Widagdo AGUS SETIAWAN Ahmad Fanani ahmad habibi Ahmad Hilal Madjdi Ahmad Syukri Endiawan Ahmad Syukur Akbar Anugrah Alim, Nur Ambrosius Heri Krismawanto Aminuddin, Fattachul Huda Anggraini Aprilia, Endah Aris Heri Andriawan, Aris Heri Asril Brestina Gultom Chyntia Dewi, Laksmi Denni Agung Santoso Desy Asyati Dewi Lestari Dewi, Atika Djauhari, Teuku Djoko Purwanto Doni Winarso, Doni Dwi Widiarsih Dzikrulloh, Mohammad Hilfi Azra Eka Martyani Ellen Angelina Eltanina Ulfameytalia Dewi Emawati Erna Wahyu Wardani Farhan Pramudia Faturrochman, Muhammad Reza Febriyanto Fitri Nurdianingsih Gregorius Daru Wijoyoko Guntara, Iqbal Gustinar H Ahmad Hadi, M.Fikry Hariz, Muhammad Amsyaril Hartayu, Ratna Hati, Deviana Intan Gadys Permata Hendri sayuti Hetty Rohayani. AH Hidayati, Isnah I Gede WD Permadi Ichan Prastika, Ichan Ifada, Erika Nurul Imaniar Purbasari Imti Tsalil Amri Indrawan, Andi Steven Irfai Fathurohman Irianto Istiqomah Izzah Aula Wardah Jani Master, Jani Kalista Islami Putri Kamali Zaman Kiki Fitriza Milda Kristomi Kukuh Setyadjit Kukuh Setyadjit, Kukuh Kurniawan Kusuma, Chandra Latumanase, Keren Lutfi Agung Swarga Lu’luul Maknun Mamik MARIA BINTANG Marini Masgo Mastuki Mastuki Mizan Asnawi Mizan Asnawi, Mizan Moh Ridlo Mufatikhah, Nurul Muhammad Hidayat Muhammad Umar Riandi Muhammad Yunus Muhammad, Reyhan Ihsan Muid, Khoeri Abdul Murtono Mutrofin Nasution, Akmal Nehe, Restuman Neng Murialti, Neng Ningsih, Septia Noor Aisyah Nugroho Joko Sasono Nugroho, Aryanto Dwi Nungki Hapsari Suryaningtyas, Nungki Hapsari Nurdiansyah Saputra Nurwijayanti Pariyanto Pariyanto, Pariyanto Pratiwi , Ika Ari Puji Slamet, Puji Purwoko Putri Mulyani Putri Yourdamarta Adinda Meychilla Permatasary Putri, Fatikhah Aprilia R.Septian Armel Rahayu Hasti Komaria Rahayu, Endang Purnawati Rahayu, Woro Isti Rahman Irpan Pahlepi Rakasona Ranti Darwin, Ranti Ratna Hartayu Reza Sarwo Widagdo Ridho'i, Ahmad Rifqi Fathurrohman Rista Islamarida Rista Islamarida, Rista Riza, Noviana Rosyidah Sabella, Billy Saidul Amin Saparso Sari, Nimas Wulan Sayyidati, Rabini Sekar Dwi Ardianti Shinta Tiara Rizki Shinta, Shinta Tiara Rizki Shofa, Iramaya Siti Musyarofah Nur Halimah Siti Zulifah Soegeng Wahyoedi Sri Ariyanti Sri Kundarsih Sri Mulyani Sri Utaminingsih Su'ad Sugiarti, Wiwit Sumianto Surtikanti Su’ad Syahfitri, Jayanti Tigas Tri Kurniawan Tita Nia Auleria Tomi Hidayat Tri Arief Sardjono Tri Puput Syariati Tri Wahyuni Ubaid Aisyul Hana Vivin Mahdalena W, Izzah Aula Wawan Shokib Rondli Wisnu Widjanarko Wiwik Novianti Wiwit Sugiarti Yulian Taviv Yunita Prastyaningsih Zaenal Abidin