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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JUITA : Jurnal Informatika International Journal of New Media Technology GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling
Dessi Puji Lestari
Institut Teknologi Bandung
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Social Sciences

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Monitoring Gadget Usage Behavior Among Adolescents Using Machine Learning Iskandar, Yanti Rubiyanti; Purwarianti, Ayu; Lestari, Dessi Puji; Hendradjaja, Bayu
GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling Vol 8, No 2 (2018)
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/gdn.v8i2.1633

Abstract

The aim study has a long-term goal, namely to reduce negative impact of gadget use among adolescents. By giving awareness and the ability for teens to control the use of gadgets, adolescents are expected will be more productive and act as users of information technology intelligent. From economic products, the software developed can be marketed to various educational institutions such as junior high school or university, or where parents or schools will get a monitoring report on the use of gadgets from adolescents users. The method used in this study includes artificial intelligence techniques (machine learning) for various development models of text/speech / video/type classification user; User Centered Design techniques for application development; and multiple techniques social humanities such as desk study activities, focus group discussions, survey/questionnaire/interview. The results of the first year research to date are software development to monitor user behavior on the gadget, collecting user behavior data adolescents on gadgets, interviewing gadget use on teenage respondents, development. The hate learning model based on deep learning, the development of the rude classification model words based on deep learning and the development of Indonesian parsers.
Shared-hidden-layer Deep Neural Network for Under-resourced Language the Content Devin Hoesen; Dessi Puji Lestari; Dwi Hendratmo Widyantoro
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.7984

Abstract

Training speech recognizer with under-resourced language data still proves difficult. Indonesian language is considered under-resourced because the lack of a standard speech corpus, text corpus, and dictionary. In this research, the efficacy of augmenting limited Indonesian speech training data with highly-resourced-language training data, such as English, to train Indonesian speech recognizer was analyzed. The training was performed in form of shared-hidden-layer deep-neural-network (SHL-DNN) training. An SHL-DNN has language-independent hidden layers and can be pre-trained and trained using multilingual training data without any difference with a monolingual deep neural network. The SHL-DNN using Indonesian and English speech training data proved effective for decreasing word error rate (WER) in decoding Indonesian dictated-speech by achieving 3.82% absolute decrease compared to a monolingual Indonesian hidden Markov model using Gaussian mixture model emission (GMM-HMM). The case was confirmed when the SHL-DNN was also employed to decode Indonesian spontaneous-speech by achieving 4.19% absolute WER decrease.
Kajian Penelitian Pemrosesan Bunyi dan Aplikasinya pada Teknologi Informasi Ranny Ranny; Iping Supriana Suwardi; Tati Latifah Erawati Rajab; Dessi Puji Lestari
JUITA : Jurnal Informatika JUITA VoL. 7 Nomor 1, Mei 2019
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.673 KB) | DOI: 10.30595/juita.v7i1.3491

Abstract

Hasil dari peneitian banyak digunakan dan dikembangkan pada aplikasi yang telah banyak dimanfaatkan pada kehidupan sehari-hari. Proses identifikasi bunyi menjadi salah satu penelitian yang banyak dilakukan. Identifikasi bunyi yang dilakukan oleh manusia berbeda satu sama lain. Misal pada suara detak jantung, pada pendengar umum, suara detak jantung tidak memiliki informasi apa pun terkait kesehatan, tapi jika suara detak jantung diperdengarkan pada ahli medik atau dokter, maka informasi yang diperoleh akan berbeda, dokter dapat mengidentifikasikan suara detak jantung dikaitkan dengan kondisi kesehatan jantung. Selain dalam bidang medis, bunyi juga dimanfaatkan pada aplikasi berbasis bunyi dan suara pada Smart Homes. Namun, sebelum mengkaji tentang aplikasi pada Smart Homes dan aplikasi lain maka akan dibahas beberapa teori dasar tentang bunyi dan suara, seperti: teori suara dan bunyi, noise pada data suara, serta ekstraksi ciri suara bunyi yang secara spesifik akan menjelaskan tentang Mel Frequency Cepstrum Coefficients (MFCC). Berdasarkan hasil kajian dapat dibuat kerangka kerja aplikasi yang dibuat. Kerangka kerja yang disusun merupakan kerangka kerja yang umum dilakukan pada aplikasi dan penelitian tentang penggunaan data suara dan bunyi. Selain itu kajian ini akan menjabarkan tentang lingkup penelitian bunyi dan suara yang telah banyak dilakukan. Melalui penjabaran tentang lingkup penelitian didapatkan peluang penelitian yang dapat dilakukan pada data bunyi dan suara serta tantangannya.
Designing Mobile Application Interaction for School Internal Communication using User-centered Design Alivia Dewi Parahita; Dessi Puji Lestari; Ginar Santika Niwanputri
IJNMT (International Journal of New Media Technology) Vol 7 No 1 (2020): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.697 KB) | DOI: 10.31937/ijnmt.v7i1.1491

Abstract

In order to fastened up the process, the school internal communication system has been changed from its conventional way using linking book and announcement letter, to messaging groups or mobile applications. This was done to create a good communication between teachers and parents for their children. But parent capability on using mobile application has been causing problems. In this paper, we present the result of our observation for the current school internal communication system problem and made the better solution. To make sure the application design matches with parent’s capability, the user-centered design method is applied. The final result of this study is a high-fidelity prototype of the application for parent side built using Sketch tools. The usability testing has been done to student parents. Based on the test result, this prototype has a good interaction, has a user-friendly interface for parents, and also already fulfill the usability goal and the user experience.
Co-Authors Alivia Dewi Parahita Ayu Purwarianti Devin Hoesen Dwi Hendratmo Widyantoro Ginar Santika Niwanputri Hendradjaja, Bayu Iping Supriana Suwardi Iskandar, Yanti Rubiyanti Ranny Ranny Tati Latifah Erawati Rajab