Article Per Year (5 Year)
p-Index From 2020 - 2025
1.332
P-Index
This Author published in this journals
All Journal Jurnas Nasional Teknologi dan Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Language Literacy: Journal of Linguistics, Literature, and Language Teaching MIND (Multimedia Artificial Intelligent Networking Database) Journal Getsempena English Education Journal REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Pragmatics and Discourse Research Dikdimas : Jurnal Pengabdian Kepada Masyarakat
Dewi Rosmala, Dewi
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Social Sciences

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Algoritma C4.5 pada Registrasi Pasien Rosmala, Dewi; Libranto, Rizandi Nugro
MIND Journal Vol 2, No 1 (2017): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (627.737 KB) | DOI: 10.26760/mindjournal.v2i1.48-58

Abstract

Algoritma C4.5 merupakan algoritma yang digunakan untuk membentuk pohon keputusan. Klinik dan Rumah Bersalin Melong Asih yang bertempat di Cimahi, bertugas melayani pemeriksaan umum, konsultasi masalah kandungan serta pemeriksaan ibu hamil. Proses registrasi yang panjang dapat menimbulkan antrian yang menyebabkan ketidaknyamanan pasien. Melihat kondisi tersebut diperlukan suatu sistem registrasi pada paisen untuk memprediksi waktu antrian di Klinik dan Rumah Bersalin Melong Asih. Data yang dimanfaatkan adalah data Rekam Medis Pasien (yang digunakan sebagai data training dan data testing). Data keluhan tersebut diproses menggunakan decision tree sehingga dapat menghasilkan suatu keputusan waktu penanganan pasien yang diterjemahkan ke dalam bahasa linguistik yaitu, cepat, sedang, dan lama. Partisi data 90:10 merupakan partisi terbaik karena memiliki nilai precision, recall, dan accuracy yang paling tinggi daripada partisi lainnya.
Algoritma Levenshtein Distance dalam Aplikasi Pencarian isu di Kota Bandung pada Twitter Rosmala, Dewi; Risyad, Zulfikar Muhammad
MIND Journal Vol 2, No 2 (2017): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.03 KB) | DOI: 10.26760/mindjournal.v2i2.1-12

Abstract

Twitter digunakan Pemerintah Kota Bandung dalam memperoleh data terkait isu yang terjadi di Kota Bandung yang dilaporkan oleh masyarakat Kota Bandung. Kendala yang dihadapi pada saat melakukan pencarian data isu melalui Twitter adalah adanya perbedaan ejaan kata di dalam tweet pada Twitter dengan kata kunci pada data kategori isu yang ada di Pemerintah Kota Bandung. Sehingga dibutuhkan sebuah algoritma yang mampu mengubah suatu kata menjadi kata lainnya, yaitu Algoritma Levenshtein Distance. Berdasarkan hasil pengujian yang telah dilakukan, Algoritma Levenshtein Distance mampu 100% mengubah kata dengan kesalahan ejaan pada tweet menjadi kata kunci pada kategori isu.Dengan digunakannya Algoritma Levenshtein Distance pada proses pencarian data isu dari Twitter, data isu yang diperoleh Pemerintah Kota Bandung menjadi lebih baik dan akurat.
Perbandingan Metode Most Significant Bit dan Least Significant Bit pada Steganografi untuk Keamanan Data Media Digital ROSMALA, DEWI; K, ANGGA KUSUMA
MIND Journal Vol 3, No 2 (2018): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.595 KB) | DOI: 10.26760/mindjournal.v3i2.36-46

Abstract

Steganografi merupakan ilmu atau teknik menyembunyikan data ke dalam suatumedia dengan tujuna orang lain tidak mengetahui keberadaan pesan tersebut.Metode Most Significant Bit (MSB) dan Least Significant Bit (LSB) adalah metodeyang digunakan dalam teknik steganografi. Biner dari secret file disisipkan kedalambit paling berpengaruh untuk MSBatau bit paling tidak berpengaruh untuk LSB kedalam cover file. Dari proses penyisipan dapat dilihat perbandingan ukuran fileimage sebelum dan sesudah disisipi pesan rahasia. Untuk menganalisis metodemana yang lebih baik terdapat paramater yang haruis dipenuhi oleh masingmasing metode, suatu stego file dapat dikatakan bagus apabila memiliki nilai PSNRdiatas 30 dB dan nilai MOS 3 (fair). Dari hasil penelitian dapat diambil kesimpulan,yaitu metode LSB lebih baik dari pada metode MSB, hal itu dibuktikan dengan nilaiPSNR rata-rata metode LSB adalah sebesar 70.31 dB dan dengan rata-rata nilaiMOS 4 (good) sedangkan metode MSB hanya memiliki nilai PSNR 28.31 dB danrata-rata nilai MOS 2 (Poor)
RESPON ALPHANUMERIK DAN NUMERIC QR CODE ROSMALA, DEWI; MIFTAHUDDIN, YUSUF; YUSUF, RUSTANDI
MIND Journal Vol 4, No 2 (2019): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.517 KB) | DOI: 10.26760/mindjournal.v4i2.62-72

Abstract

QR Code atau sering disebut Quick Response Code adalah barcode dua dimensi yang dapat dibaca lebih cepat dari barcode dengan kapasitas yang sama. Sudut deteksi pola yang menjamin stabil tiga bacaan pada kecepatan tinggi dan dapat memperbaiki kesalahan atau data dapat dikembalikan bahkan jika sebagian rusak atau kotor. QR Code memiliki karakter yang terbagi dalam empat karakter yaitu numerik, alphanumerik, bit, kaji. QR Code dihasilkan dari proses encoding dengan melakukan konversi atau masukan data ke dalam bentuk biner, sehingga encoding dapat diidentifikasi kebutuhan input data yang dihasilkan dalam QR Code, menentukan versi QR code dan tingkat Error Correction. Pada penelitian ini dilakukan cara bagaimana Melakukan proses encoding alphanumerik dan numeric QR Code dengan membandingkan respon rime dari hasil generate kedua QR Code tersebut. Dengan cara melakukan pemindaian pada QR Code alphanumerik dan numerik. Dari hasil pengujian Pemindaian QR Code alphumerik dan numerik yang dilakukan didapat bahwa QR Code numerik memiliki respon lebih cepat 0.3 Detik dari QR Code alphanumerik. Kata kunci: REST API, QR Code,Android
INTERNET-BASED VIDEO LESSONS ON THE LEARNER’S ENGLISH PRONUNCIATION: WHAT THE RESEARCH REVEALS Amanda, Fauziah; Abdullah, Fuad; Hidayati, Arini Nurul; Andriani, Agis; Tandiana, Soni Tantan; Rosmala, Dewi
Getsempena English Education Journal Vol. 11 No. 1 (2024)
Publisher : English Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46244/geej.v10i2.2579

Abstract

Pronunciation has regained its existence in the investigative attempts in the areas of TESOL, Sociolinguistics, and Intercultural Communication. This burgeoning growth has proven the importance of pronunciation teaching and learning, notable in this technology-based language learning era. However, little attention has been given to the description of how the participant learned English pronunciation through internet-based video lessons (IBVL). Hence, this study addressed the void. Avril (a senior high school student in Tasikmalaya, West Java, Indonesia) was recruited as the investigative participant. The data were collected through semi-structured interviews and analyzed with Thematic Analysis. The findings reported that she learned English pronunciation by imitating the English tutor of the MmmEnglish channel. She learned by applying three main stages, namely listening and reading, listening and repeating, and shadowing.
The Representation of Counterproductive Religious Values in a Selected Chapter of an Indonesian ELT Textbook: Systemic Functional Multimodal Discourse Analysis Andriani, Agis; Abdullah, Fuad; Nurhaedin, Enjang; Hidayati, Arini Nurul; Rosmala, Dewi; Saputra, Yuyus
Journal of Pragmatics and Discourse Research Vol 4, No 1 (2024)
Publisher : ppjbsip

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51817/jpdr.v4i1.756

Abstract

Countless studies have examined the vital role of ELT textbooks as learning sources, particularly in terms of intercultural, multicultural, and trans-cultural analysis. Yet, none of them specifically talked about religious values as the research focus. Hence, this study aimed at construing religious values represented in a selected chapter of an Indonesian ELT textbook. Descriptive problem-driven content analysis was used as the research design, whilst the research data were collected through document analysis. Later, to analyze the data, the research utilized Systemic Functional Multimodal Discourse Analysis (SF-MDA) (O’Halloran, 2008c) as the framework with a focus on representational meaning and transitivity analysis for each visual and textual data. The findings showed that two data modes represent religiosity, namely visual and verbal data. In visual, religious values (artifacts, beliefs, and behaviors) are represented by the classificational process while in verbal data; they are represented by the material and relational processes. Four of Indonesia's large recognized religious communities were represented namely Christianity, Buddhism, Hinduism, and Confucianism. Yet, there is no single datum that figures Islamic values, whereas, the Islamic community is the largest in the country and even in the world. Hence, this implication suggests that stakeholders (particularly textbook authors) should pay attention to the issue of how to fairly present the five legalized communities' values existing in Indonesia. Therefore, because Indonesia has varied its communities, ethnicities, and backgrounds, ELT textbooks should fairly embody the diversities more over the religious aspects which are the core competence to gain.
Advancing Local Potential by Developing a Digital Marketing and Digital Personal Branding Application for Local Economic Growth Through Bamboo-Based Innovation Rosmala, Dewi; Irwan, Yusril; Ungkawa, Uung; Anwar, Mochamad Hafied Ibni; Faritsi, Muhammad Hafizh Al; Fadilah, Faisal; Izzati, Sarah Nurul; Nugraha, Fazry Javier; Gunawan, M. Indra; Adhliana, Fadhli; Ramadhan, Dwi Hendra
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 5, No 3 (2024): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v5i3.262-271

Abstract

This personal branding and digital marketing application was developed to address the challenge of promoting bamboo-based products and increasing market visibility for PT. Bintang Mitra Kencana. The company faced difficulties in building a strong market identity and reaching a wider audience. To address these challenges, the application emphasizes the benefits of bamboo products, the company’s commitment to sustainability, and the distinctiveness of its raw materials. Through interactive features such as a product catalog and direct purchasing options, users can easily explore, select, and purchase products. By enhancing user engagement through an intuitive digital experience, this solution supports PT. Bintang Mitra Kencana in increasing brand awareness and significantly expanding its market reach. In the long term, this digital initiative is expected to drive consistent sales growth and positively contribute to the local economy by creating greater demand for eco-friendly bamboo products.
Audio Conversion for Music Genre Classification Using Short-Time Fourier Transform and Inception V3 ROSMALA, DEWI; FADHILAH, MOHAMMAD NOER
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 1: Published January 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i1.84

Abstract

This research examines the development of music genres and technological applications in music genre recognition through the MIR (Music Information Retrieval) approach. Automatic music genre labeling is expected to help, reduce, and suppress the role of humans in terms of music genre labeling. This research proposes the use of Mel Spectrogram as an audio representation in the frequency domain as well as Convolutional Neural Network (CNN), specifically the Inception V3 architecture. CNN was chosen for its ability to recognize complex and hierarchical patterns, which corresponds to the musical features represented in the spectrogram. Transfer learning techniques and fine-tuning of models trained on large datasets were applied, which allowed to improve accuracy. This study uses a dataset of 1000 audio files in .wav format, with each genre represented by 100 files, to evaluate the performance and effectiveness of the proposed method in the context of music genre classification.
Smart English Adventure: Empowering Interactive Learning for SDN Pabaki 019 Rosmala, Dewi; Tri Noerdin, Choerunnisa Septiani; Pasya, Trisha Azzhara; Garnadi, Danang; Rahman, Taufiqur
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 2 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i2.127-136

Abstract

The English learning process at SDN Pabaki 019 involving grade 1 and 2 students still faces several challenges such as limited access to interactive learning media and time-consuming manual assessments. To overcome these problems, an interactive web-based learning application called Smart English Adventure was developed and implemented in the classroom. This application includes features such as teacher-managed content delivery, gamification quizzes with automatic evaluation, and flexible access for students. The development process follows the Software Development Life Cycle (SDLC), which includes the planning, design, implementation, testing, and deployment stages. A total of 60 students and 20 teachers were involved in this initiative. Feedback was collected through structured interviews, with 85% of students showing increased enthusiasm and engagement. The findings showed that this application significantly increased motivation and supported teachers in managing and evaluating learning. This program shows potential for replication in similar educational settings.
LITERACY CONCEPT PERSPECTIVES IN ENGLISH LANGUAGE LEARNING WITHIN THE EMANCIPATED CURRICULUM Andriani, Agis; Izzati, Aina Amalia; Syakira, Sitti; Pertamana, Dede; Rosmala, Dewi
Language Literacy: Journal of Linguistics, Literature, and Language Teaching Vol 9, No 1: June 2025
Publisher : Universitas Islam Sumatera Utara (UISU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/ll.v9i1.10637

Abstract

Indonesia’s literacy rate is low, ranking 61st in the PISA survey, 60th in the OECD’s 2016 survey, and 45th in PIRLS 2011. To address this, a Merdeka Belajar curriculum focusing on literacy activities is being implemented. Thus, it is necessary to conduct research related to teachers’ and students’ perspectives of literacy through reading activities in emancipated learning because it can reflect how they understand and experience it. The qualitative case study is used as the research method and involved an English teacher and a 7th-grade student in a junior high school in Tasikmalaya. Data was collected through semi-structured interviews and analyzed using Braun and Clarke (2006) thematic analysis approach. The findings indicate that teachers perceive literacy in English learning as multifaceted, emphasizing reading and writing activities to enhance knowledge. They advocate for literacy skills development through diverse activities, promote independent learning strategies, and employ multimodal approaches, aligning their practices with the principles of the Emancipated Curriculum to empower students. Therefore, further research should explore the impact of English reading literacy activities on students’; English language skills, specifically the four skills, using a quantitative experimental approach to investigate the effects of literacy through reading activities.
Co-Authors Abdullah, Fuad Adhliana, Fadhli Amanda, Fauziah Andriani, Agis Anwar, Mochamad Hafied Ibni Ashari Rakhmat, Galih Belkis, Salma Ayu FADHILAH, MOHAMMAD NOER Fadilah, Faisal Faritsi, Muhammad Hafizh Al Fathi, Dwiki Rahmat Fathurohman, Aulia Fera Sulastri, Fera Garnadi, Danang Gunawan, M. Indra Hidayati, Arini Nurul Irwan, Yusril Izzati, Aina Amalia Izzati, Sarah Nurul K, ANGGA KUSUMA Libranto, Rizandi Nugro Maulina, Rena MIFTAHUDDIN, YUSUF Nugraha, Fazry Javier Nuraini, Chandra Nurhaedin, Enjang Pasya, Trisha Azzhara Pertamana, Dede Prastyo, Bayu Rafid, Rayhan Alea Rahardito, Hada Azka Ramadhan, Dwi Hendra Risyad, Zulfikar Muhammad Saputra, Yuyus Silvani, Dea Siti Sarah, Siti Syakira, Sitti Tandiana, Soni Tantan Taufiqur Rahman, Taufiqur Tri Noerdin, Choerunnisa Septiani UNGKAWA, UUNG YUSUF, RUSTANDI