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IMPLEMENTATION OF ICT BASED PEDIATRIC TELEHEALTH CARE POSYANDU AS AUTOMATIC MONITOR AND IDENTIFICATION OF INFANT’S GROWTH AND DEVELOPMENT Riries Rulaningtyas; Abidah Alfi Maritsa; Weni Endahing Warni; Soegianto Soelistiono; Khusnul Ain; Amirul Amalia; Aji Sapta Pramulen; Yusrinourdi Muhammad Zuchruf; Hanif Assyarify; Miranda Syafira Widyananda; Muhammad Fadhel Maulama
Darmabakti Cendekia: Journal of Community Service and Engagements Vol. 2 No. 1 (2020): JUNE 2020
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Background: Posyandu is one of the Indonesian government’s attempt in order to monitor and improve the health and life quality of the community, especially infant. However, the implementation of Posyandu is facing some issues such as low effectiveness and low accuracy during the data collecting process of the infant’s growth and development. Purpose: This study aims to develop an automatic telehealth care product in order to help to increase the effectivity and accuracy in the implementation of Posyandu. Methods: (1) Development of the Telehealth Care Posyandu Application, (2) Implementation of the application in the form of social service program. Result: (1) “Toddler” Telehealth Care Application based in Android and ICT was buith with artificial intelligence of Decision Tree and Random Forest method. Program testing was done with 97.89% accuration score from total 85 infant’s growth data. While from 47 questionnaire data of infant’s development, accuracy score of 83.33% was obtained. (2) Target’s respond on the Telehealth Care Posyandu Application shown the status of “Very Satistified” based on the score of 81% from the satisfaction survey. The satisfaction survey covered three aspects which are: System, User, and Interaction. Conclusion: “Toddler” Telehealth Care Posyandu Application was proven to has high accuracy, sensitivity, and sensitivity score and also resulted in “Very Satisfied” user respond.

Speech Synthesis Based on EEG Signal for Speech Impaired Patients by Using bLSTM Recurrent Neural Network Abdufattah Yurianta; Anaqi Syaddad Ihsan; Arijal Ibnu Jati; Osmalina Nur Rahma; Aji Sapta Pramulen
Indonesian Applied Physics Letters Vol. 3 No. 1 (2022): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i1.40257

The disability rate in Indonesia is still relatively high and is one of the main health problems which reaches 30.38 million people or 14.2% of the Indonesian population. One of these types of disabilities is speech impairment. There are several possible causes for speech impairment, including the focal disturbance. This situation occurs because of disturbances in the vocal cords caused by injuries due to accidents and other conditions, such as throat cancer, which of course will reduce the productivity of the sufferer. Sign language can be used to communicate, but it still has limitations for normal individuals. In addition, speech synthesis using brain computer interface (BCI) based on electrocorticography (ECoG) has been developed. However, this method still has a weakness, namely invasive and allows the emergence of large enough scar tissue, so that it can reduce the quality of brain biopotential to be recorded. Therefore, a non-invasive EEG-based speech synthesis method was initiated. This method uses bLSTM as one of the components of the RNN model, so that it can construct syllables into words. This system consists of datasets, data filter programs, data segmentation programs, feature extraction programs, ANN and RNN deep learning model training programs, and text-to-speech programs. ANN and RNN form a 2-level deep learning. The testing accuracy and accuracy of the ANN are 26.04% and 20.83%, while the accuracy of the RNN is 81.25%. To improve these results, in the future, researchers can improve the data collection process and increase the number of the data, use the correct extraction feature, and compare several machine learning architectures, to produce optimal accuracy.

TINGKATKAN KAMERA SMARTPHONE TIPE ENTRY LEVEL DAN MID RANGE UNTUK MENGHITUNG DENYUT JANTUNG DAN SATURASI OKSIGEN BERBASIS PHOTOPLETHYSMOGRAM KONTAK Pramulen, Aji Sapta; Cyberputri, Dinda; Hasim, Jauari Akhmad Nur; Fananda, Ibrohim Yofid; Wulandari, Irma; Damastuti, Fardani Annisa
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 26, No 2 April (2024): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.26.2.77-85

Pemanfaatan smartphone kelas konsumen sebagai perangkat sensor medis mempunyai potensi yang sangat besar, terutama bila dilengkapi dengan sensor yang mampu melacak berbagai biosinyal, termasuk suara dan denyut nadi. Namun, karena beberapa kendala teknis yang terkait dengan kamera ponsel pintar, memastikan kepatuhan terhadap standar perangkat medis untuk pengukuran oksimetri nadi yang akurat menjadi sebuah tantangan. Makalah ini memperkenalkan aplikasi ponsel pintar baru yang dirancang untuk memperkirakan tanda-tanda vital seperti detak jantung dan tingkat SpO2. Aplikasi ini menggabungkan metode untuk meningkatkan laju pengambilan sampel kamera, sehingga meningkatkan akurasi pengukuran. Penelitian ini melibatkan pemrosesan video dari 30 subjek ujung jari lalu mengekstrak dua jenis sinyal PPG dan membandingkannya berdasarkan morfologi yang berpusat pada rata-rata ansambel dan penilaian morfologi ketukan per ketukan. Hasilnya menunjukkan bahwa waktu pemaparan yang singkat menghasilkan sinyal CPPG (photoplethysmogram kontak) SNR tinggi hingga 20 dB bila dibandingkan dengan sinyal referensi PPG (photoplethysmogram). Hasil aplikasi ini memiliki kesalahan rata-rata sebesar 1,97 saat mengukur detak jantung dan 0,87 saat mengukur saturasi oksigen. Rata-rata error menggunakan smartphone OPPO A83 adalah 2,18 per detak jantung dan 0,84 per saturasi oksigen. Smartphone Samsung A12 memiliki rata-rata skor error 1,12 untuk detak jantung dan 0,41 untuk saturasi oksigen. Temuan ini memberikan dukungan terhadap kemanjuran aplikasi ponsel cerdas yang diusulkan dalam estimasi tanda vital.

Pengenalan Rumah Adat Nusantara Berbasis Mobile AR Fardani Annisa Damastuti; Jauari Akhmad Nur Hasim; Irma Wulandari; Darmawan Aditama; Aji Sapta Pramulen; Ibrohim Yofid Fananda; Dita Aulia Rahma
Pixel :Jurnal Ilmiah Komputer Grafis Vol 16 No 2 (2023): Vol 16 No 2 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i2.1221

A traditional house is a house that has a characteristic building that symbolizes the culture of a region. The uniqueness of traditional houses in Indonesia is one of the learning materials for students in Indonesia. Books that are a medium for introducing traditional houses in Indonesia still have shortcomings in the form of limited visual display of traditional houses. So that it reduces children's interest in recognizing the traditional houses of the archipelago. This can lead to cultural erosion. Therefore, to increase interest and insight into the culture of this traditional house, technology and culture are combined. This combination uses augmented reality technology to introduce the traditional houses of the archipelago. Traditional houses are visualized through 3-dimensional objects in the android application. The augmented reality application developed is dynamic, so that the addition of content can be done without modifying the program code. This application will visualize 9 traditional houses from 9 provinces in Java, Nusa Tenggara, and Bali. The test results show an increase in knowledge of SDN Banjarmendalan students by 56% which means the application is quite effective to help students recognize the traditional houses of the archipelago and from the assessment of student satisfaction with the application get a score of 90.5% which means the application is enough to attract students to learn to recognize traditional houses.

Implementasi Animasi 2D menggunakan Motion Graphic sebagai Media Informasi Palang Merah Indonesia Wulandari, Irma; Fananda, Ibrohim Yofid; Hasim, Jauari Akhmad Nur; Pramulen, Aji Sapta; Damastuti, Fardani Annisa; Zukhaha, Ashiliya Atsmara
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.739

The Indonesian Red Cross (PMI) has a significant responsibility in conveying humanitarian information to the public. However, the challenges of effectively communicating information to the broader community remain a primary concern, as conventional media often lack appeal and are difficult to comprehend fully. To address this issue, this study implements 2D animation based on motion graphics as a communication medium for PMI. The animation production process includes creating storyboards, developing visual illustrations, graphic processing, adding motion elements, voice narration, and audio-visual synchronization, resulting in a communicative and engaging medium. 2D animation was chosen because it can present messages with simple yet clear visuals, while motion graphics provide engaging motion dynamics that make information easier to understand and remember. The integration of both allows for the delivery of messages that are concise, interactive, and in line with the characteristics of digital media that are widely accessed by the public. Evaluation results show a significant increase in the level of understanding among respondents after watching the video, with post-test scores reaching 94.8% in the PMI member group and 91.2% in the general public group. These findings affirm that 2D animation media based on motion graphics is effective in enhancing the appeal, understanding, and effectiveness of PMI communication, thus it can be an innovative alternative strategy to expand the reach of humanitarian information.

Pengenalan Rumah Adat Nusantara Berbasis Mobile AR Fardani Annisa Damastuti; Jauari Akhmad Nur Hasim; Irma Wulandari; Darmawan Aditama; Aji Sapta Pramulen; Ibrohim Yofid Fananda; Dita Aulia Rahma
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 16 No. 2 (2023): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i2.1221

A traditional house is a house that has a characteristic building that symbolizes the culture of a region. The uniqueness of traditional houses in Indonesia is one of the learning materials for students in Indonesia. Books that are a medium for introducing traditional houses in Indonesia still have shortcomings in the form of limited visual display of traditional houses. So that it reduces children's interest in recognizing the traditional houses of the archipelago. This can lead to cultural erosion. Therefore, to increase interest and insight into the culture of this traditional house, technology and culture are combined. This combination uses augmented reality technology to introduce the traditional houses of the archipelago. Traditional houses are visualized through 3-dimensional objects in the android application. The augmented reality application developed is dynamic, so that the addition of content can be done without modifying the program code. This application will visualize 9 traditional houses from 9 provinces in Java, Nusa Tenggara, and Bali. The test results show an increase in knowledge of SDN Banjarmendalan students by 56% which means the application is quite effective to help students recognize the traditional houses of the archipelago and from the assessment of student satisfaction with the application get a score of 90.5% which means the application is enough to attract students to learn to recognize traditional houses.

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