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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknik Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JETT (Jurnal Elektro dan Telekomunikasi Terapan) Jurnal Elektronika dan Telekomunikasi Jurnal Ilmiah Pendidikan dan Pembelajaran TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Muqoddima: Jurnal Pemikiran dan Riset Sosiologi INVOICE : JURNAL ILMU AKUNTANSI Psychological Research on Urban Society JOURNAL OF CHEMICAL NATURAL RESOURCES (JCNaR) Jurnal Mutiara Ilmu Akuntansi eProceedings of Engineering JISIP UNJA (Jurnal Ilmu Sosial Ilmu Politik Universitas Jambi) Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Intelek Insan Cendikia Molang: Journal Islamic Education Jurnal Pendidikan Tuntas Jurnal Nasional Sains dan Teknik
Irma Safitri
Universitas Telkom
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Other

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Image Watermarking pada Citra Medis menggunakan Compressive Sensing berbasis Stationary Wavelet Transform HAFIZHANA, YASQI; SAFITRI, IRMA; NOVAMIZANTI, LEDYA; IBRAHIM, NUR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 1: Published January 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i1.43

Abstract

ABSTRAKWatermarking pada citra medis dilakukan untuk melindungi hak kepemilikan dan keaslian sebuah citra medis. Proses embedding dan extraction dirancang menggunakan metode Stationary Wavelet Transform (SWT) dan Statistical Mean Manipulation (SMM) untuk mengubah citra host menjadi sinyal sparse kemudian memasuki proses watermarking. Citra watermark dioptimasi dengan menggunakan metode Compressive Sensing (CS). Hasil akhir dari penelitian ini menunjukkan simulasi Image Watermarking dengan Bit Error Rate (BER) mendekati nilai nol dan PSNR lebih besar dari 40 dB, tanpa diberikan serangan. Penerapan Compressive Sensing menyebabkan nilai PSNR meningkat hingga 3,5 dB dan embedding capacity menjadi empat kali lipat lebih baik. Kata Kunci: Image watermarking, Telemedicine, Stationary Wavelet Transform, Statistical Mean Manipulation, Compressive Sensing. ABSTRACT Watermarking in medical images is carried out to protect ownership rights and authenticity of a medical image. The embedding and extraction process was designed using Stationary wavelet transform (SWT) and Statistical Mean Manipulation (SMM) methods to convert the host image into a sparse signal and then enter the watermarking process. The watermark image is optimized using the Compressive Sensing (CS) method. The final result of this final project shows the simulation of Image Watermarking with the Bit Error Rate (BER) approaching zero and PSNR greater than 40 dB, without being given an attack. The application of the Compressive Sensing pursuit will cause the PSNR increase up to 3.5 dB and embedding capacity four times better. Keywords: Image watermarking, Telemedicine, Stationary Wavelet Transform, Statistical Mean Manipulation, Compressive Sensing.
Image Hiding on Audio Subband Based On Centroid in Frequency Domain BUDIMAN, GELAR; SAFITRI, IRMA; SIREGAR, RIZKY DAMARJATI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 1: Published January 2019
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i1.29

Abstract

ABSTRAKAudio watermarking adalah mekanisme penyembunyian data pada audio. Metode penyembunyian data yang digunakan dalam penulisan ini adalah Lifting Wavelet Transform (LWT), Fast Fourier Transform (FFT), Centroid dan Quantization Index Modulation (QIM). Langkah pertama adalah host audio tersegmentasi menjadi beberapa frame. Kemudian sub-band terpilih diubah oleh FFT dengan mengubah domain sub-band dari waktu ke frekuensi. Proses centroid digunakan untuk menemukan titik pusat frekuensi untuk lokasi penyisipan untuk mendapatkan output yang lebih stabil. Proses penyematan dilakukan dengan QIM. Kinerja watermarking oleh parameter yang disesuaikan memperoleh nilai imperceptibility dengan Signal to Noise Ratio (SNR) > 21 dB, Mean Opinion Score (MOS)> 3.8 dengan kapasitas = 86.13 bps. Selain itu, untuk sebagian besar file audio terwatermark yang diserang, metode ini tahan terhadap beberapa serangan seperti Low Pass Filter (LPF) dengan fco> 6 kHz, Band Pass Filter (BPF) dengan fco 50 Hz - 6 kHz, Linear Speed Change (LSC) dan MP4 Compression dengan Bit Error Rate (BER) kurang dari 20%.Kata kunci: FFT, subband, LWT, Centroid, Audio Watermarking, QIM ABSTRACTAudio watermarking is a mechanism for hiding data on audio. Data hiding methods used in this paper are Lifting Wavelet Transform (LWT), Fast Fourier Transform (FFT), Centroid and Quantization Index Modulation (QIM). The first step is to segment host audio into several frames, then the selected sub-band is changed by the FFT by changing the sub-band domain from time to frequency. The centroid process is used to find the center of frequency for the insertion location to get a more stable output. The embedding process is done by QIM. The watermarking performance by adjusted parameters obtains the imperceptibility value with Signal to Noise Ratio (SNR)> 21 dB, Mean Opinion Score (MOS)> 3.8 with a capacity = 86.13 bps. In addition, for most of attacked watermarked audio files, this method is resistant to several attacks such as Low Pass Filter (LPF) with fco> 6 kHz, Band Pass Filter (BPF) with fco 50 Hz - 6 kHz, Linear Speed Change (LSC) and MP4 Compression with Bit Error Rate (BER) less than 20%.Keywords: FFT, subband, LWT, Centroid, Audio Watermarking, QIM
QIM - Based Audio Watermarking with Combination Technique of DCT-QR-CPT RENDRAGRAHA, RENDY DWI; BUDIMAN, GELAR; SAFITRI, IRMA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 1: Published January 2019
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i1.112

Abstract

ABSTRAKAudio watermarking adalah teknik memasukkan informasi ke dalam file audio dan untuk melindungi hak cipta data digital dari distribusi ilegal. Makalah ini memperkenalkan audio stereo watermarking berdasarkan Quantization Index Modulation (QIM) dengan teknik gabungan Discrete Cosine Transform (DCT) - QRCartesian Polar Transform (CPT). Host audio dibagi menjadi beberapa frame, selanjutnya setiap frame ditransformasi oleh DCT, kemudian output DCT diuraikan menjadi matriks orthogonal dan matriks segitiga menggunakan metode QR. Selanjutnya, CPT mengubah dua koefisien kartesian dari matriks segitiga (R) pada posisi (1,1) dan (2,2) menjadi koefisien polar. Setelah itu, penyisipan dilakukan pada koefisien polar oleh QIM. Hasil simulasi menunjukkan bahwa imperseptibilitas audio terwatermark berkualitas baik dengan Signal to Noise Ratio (SNR)> 20, Mean Opinion Score (MOS)> 4 dan tahan terhadap serangan seperti Low Pass Filter (LPF) dan Band Pass Filter (BPF) dengan cut off 25-6k, resampling, Linear Speed Change (LSC) dan MP3 Compression dengan rate diatas 64 kbps.Kata kunci: Audio Watermarking, CPT, DCT, QIM, QR ABSTRACTAudio watermarking is a technique for inserting information into an audio file and to protect the copyright of digital data from illegal distribution. This paper introduces a stereo audio watermarking based on Quantization Index Modulation (QIM) with combined technique Discrete Cosine Transform (DCT) – QR – Cartesian Polar Transform (CPT). Each frame of a host audio is transformed by DCT, then DCT output is decomposed using QR method. Next, CPT transform two cartesian coefficients from triangular matrix (R) in position (1,1) and (2,2) to polar coefficients. After that, embedding is executed on polar coefficients by QIM. The simulation result shows that the imperceptibility is good with Signal to Noise Ratio (SNR)>20, Mean Opinion Score (MOS)>4 and it is robust against attacks such as Low Pass Filter (LPF) and Band Pass Filter (BPF) with cut off 25-6k, Resampling, Linear Speed Change and MP3 Compression with rate 64 kbps and above. Keywords: Audio Watermarking, CPT, DCT, QIM, QR
Compressive Sensing Audio Watermarking dengan Metode LWT dan QIM SAFITRI, IRMA; IBRAHIM, NUR; YOGASWARA, HERLAMBANG
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 6, No 3: Published September 2018
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v6i3.405

Abstract

ABSTRAKPenelitian ini mengembangkan teknik Compressive Sensing (CS) untuk audio watermarking dengan metode Lifting Wavelet Transform (LWT) dan Quantization Index Modulation (QIM). LWT adalah salah satu teknik mendekomposisi sinyal menjadi 2 sub-band, yaitu sub-band low dan high. QIM adalah suatu metode yang efisien secara komputasi atau perhitungan watermarking dengan menggunakan informasi tambahan. Audio watermarking dilakukan menggunakan file audio dengan format *.wav berdurasi 10 detik dan menggunakan 4 genre musik, yaitu pop, classic, rock, dan metal. Watermark yang disisipkan berupa citra hitam putih dengan format *.bmp yang masing-masing berukuran 32x32 dan 64x64 pixel. Pengujian dilakukan dengan mengukur nilai SNR, ODG, BER, dan PSNR. Audio yang telah disisipkan watermark, diuji ketahanannya dengan diberikan 7 macam serangan berupa LPF, BPF, HPF, MP3 compression, noise, dan echo. Penelitian ini memiliki hasil optimal dengan nilai SNR 85,32 dB, ODG -8,34x10-11, BER 0, dan PSNR ∞.Kata kunci: Audio watermarking, QIM, LWT, Compressive Sensing. ABSTRACTThis research developed Compressive Sensing (CS) technique for audio watermarking using Wavelet Transform (LWT) and Quantization Index Modulation (QIM) methods. LWT is one technique to decompose the signal into 2 sub-bands, namely sub-band low and high. QIM is a computationally efficient method or watermarking calculation using additional information. Audio watermarking was done using audio files with *.wav format duration of 10 seconds and used 4 genres of music, namely pop, classic, rock, and metal. Watermark was inserted in the form of black and white image with *.bmp format each measuring 32x32 and 64x64 pixels. The test was done by measuring the value of SNR, ODG, BER, and PSNR. Audio that had been inserted watermark was tested its durability with given 7 kinds of attacks such as LPF, BPF, HPF, MP3 Compression, Noise, and Echo. This research had optimal result with SNR value of 85.32 dB, ODG value of -8.34x10-11, BER value of 0, and PSNR value of ∞.Keywords: Audio watermarking, QIM, LWT, Compressive Sensing.
Implementasi Sistem Pengelolaan Aset Desa (SIPADES) di Kecamatan Bengkalis Irma Safitri
Jurnal Mutiara Ilmu Akuntansi Vol. 2 No. 4 (2024): Oktober : Jurnal Mutiara Ilmu Akuntansi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jumia.v2i4.3310

Abstract

This study aims to evaluate the implementation of the Village Asset Management System (SIPADES) in Bengkalis Regency. The focus of the research was to assess the effectiveness of this system in helping village officials manage assets. The research was conducted in six villages using a descriptive qualitative method. Data collection was conducted through reduction, presentation and conclusion drawing. The results showed that villages in Bengkalis Regency had implemented SIPADES well. Village operators, although most of them were only high school graduates, were able to master SIPADES thanks to intensive training. However, the main obstacles are network limitations that cause system errors and downtime, disrupt operational efficiency and stability of village asset management, and make it difficult to track data in real-time. Overcoming these problems requires improved technology infrastructure and better support so that SIPADES can run smoothly and effectively in all villages.
The Role of Self-Efficacy on Academic Stress with Optimism as a Moderating Variable: Case Study in the Post-Covid-19 Higher Education Sector Safitri, Irma; Yundianto, Devie; Ar-Rafi, Dimas
Jurnal Ilmiah Pendidikan dan Pembelajaran Vol. 8 No. 1 (2024): Maret 2024
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jipp.v8i1.60819

Abstract

One of the obstacles that become a concern in the world of education is academic stress because student expectations still need to be achieved in learning with the reality of learning that occurs. The purpose of this study was to determine the role of self-efficacy on academic stress with optimism. This research is a cross-sectional quantitative research with ex post facto method. The sampling technique used is convenience sampling. Respondents totaled 113 people with questionnaires as a method and instrument of data collection. The data analysis technique used is inferential statistical analysis. The results showed that there was no relationship between academic self-efficacy and optimism, as well as academic stress. In the variable relationship with the academic stress dimension, academic self-efficacy is associated with learning pressure and hopelessness.  There is also a significant effect of academic self-efficacy on academic stress, and optimism has a significant effect on academic stress. This suggests a significant influence on both variables predictors of academic stress, confirming that optimism cannot be used as a moderator between academic self-efficacy and educational stress. This research provides valuable implications in efforts to improve post-COVID academic stress management, by providing a deeper understanding of the role of self-efficacy and optimism in managing such stress
Analisis Penggunaan Metode Kuantitatif dan Kualitatif dalam Penelitian Akuntansi: Studi Literatur pada Jurnal Nasional Terakreditasi Muammar Khaddafi; Heri Wibowo; Irma Safitri; Siti Aqila Zahra Nst; Viya Aurelia Salsabila
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 3 (2025): JUNI-JULI 2025
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Penelitian ini bertujuan untuk menganalisis tren penggunaan metode kuantitatif dan kualitatif dalam penelitian akuntansi yang dipublikasikan di jurnal nasional terakreditasi selama periode 2019–2024. Studi ini menggunakan pendekatan studi literatur terhadap 120 artikel dari berbagai jurnal akuntansi yang terdaftar di SINTA 1–4. Data dikumpulkan melalui penelusuran artikel berbasis kriteria inklusi dan dianalisis secara deskriptif menggunakan tabel frekuensi, persentase, serta tren tahunan. Hasil penelitian menunjukkan bahwa metode kuantitatif masih mendominasi penelitian akuntansi di Indonesia dengan persentase sebesar 78,3%, sementara metode kualitatif dan mix method masing-masing hanya mencapai 15,0% dan 6,7%. Meski demikian, tren penggunaan metode kualitatif mulai mengalami peningkatan dalam dua tahun terakhir, khususnya pada topik akuntansi sosial, syariah, dan lingkungan. Temuan ini menunjukkan bahwa diversifikasi metodologi penelitian akuntansi di Indonesia masih perlu ditingkatkan untuk menghasilkan penelitian yang lebih kontekstual dan komprehensif. Penelitian ini diharapkan dapat menjadi referensi bagi akademisi dan pengelola jurnal dalam mendorong publikasi penelitian akuntansi berbasis kualitatif dan mix method di masa mendatang.
PENGARUH TRANSFER PRICING, EARNING MANAGEMENT DAN GREEN INVESTMENT TERHADAP TAX AVOIDANCE Irma Safitri; Eka Rima Prasetya
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 4 (2025): AGUSTUS - SEPTEMBER 2025
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh transfer pricing, earning managemet dan green investment terhadap tax avoidance pada perusahaan sektor energi yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2019 hingga 2023. Penelitian ini menggunakan data sekunder berupa laporan keuangan tahunan, yang diperoleh melalui situs resmi Bursa Efek Indonesia. Sampel ditentukan menggunakan metode purposive sampling, sehingga diperoleh 11 perusahaan dengan total 83 data observasi selama lima 5 tahun. Variabel dalam penelitian ini terdiri dari transfer pricing (X1), earning management (X2), dan green investment (X3) sebagai variabel independen, serta tax avoidance (Y) sebagai variabel dependen. Metode analisis yang digunakan adalah regresi data panel dengan bantuan perangkat lunak Eviews 12, dan hasil pengujian model terbaik menunjukkan bahwa Common Effect Model (CEM) merupakan model yang paling sesuai. Hasil penelitian menunjukkan bahwa secara parsial, transfer pricing berpengaruh terhadap tax avoidance, sedangkan earning management dan green investment tidak berpengaruh terhadap tax avoidance. Namun secara simultan, ketiga variabel independen tersebut berpengaruh signifikan secara bersama-sama terhadap tax avoidance
Hubungan Persepsi Keterlibatan Ayah dalam Pengasuhan Anak Dengan Perilaku Moral Anak di Sekolah Safitri, Irma; Salsabila, Ade Dafa; Nginayah, Siti
Muqoddima: Jurnal Pemikiran dan Riset Sosiologi Vol 2 No 2 (2021): Muqoddima: Jurnal Pemikiran dan Riset Sosiologi
Publisher : Laboratorium Sosiologi, Program Studi Sosiologi, Fakultas Ilmu Sosial, Universitas Nahdlatul Ulama Indonesia (UNUSIA) Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/MJPRS.002.02.03

Abstract

The moral behavior of children at school is one aspect of child development that needs to be considered in its development. One of the things that affect the moral behavior of children is parenting, namely the involvement of the father in parenting. Moral behavior is behavior that conforms to the moral code of a social group. Moral behavior in this study is the moral behavior of children at school, namely behavior that is in accordance with school rules, consisting of discipline, responsibility and courtesy. Father involvement in child care is how a father is involved in child care, consisting of being involved and emotionally attached to children, being involved in handling children's problems, commitment to giving orders and control over children, and providing examples of behavior in children. Based on the Product Moment correlation analysis, the results show that there is a significant relationship between father's involvement in child care and children's moral behavior at school. This can be seen from the correlation value of (rcount) of 0.599, which is greater than the significance level of 5% or (0.05) and the correlation value is positive.
Kajian Peningkatan Kualitas Citra Wajah Menggunakan Metode Deep Learning Vanilla Generative Adversarial Network (VGAN) dan Super Resolution Generative Adversarial Network (SRGAN) Wicaksono, Satriyo Sakti; Safitri, Irma; Rustam, Rustam
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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Abstract

Citra dengan resolusi rendah pada citra digital dapat membuat detail gambar kurang jelas. Hal ini dapat disebabkan adanya degradasi warna, blur (buram) atau pun noise sehingga secara visual citra menjadi tidak terlihat jelas. Selain itu, resolusi rendah dapat berpengaruh pada citra yang dipakai dalam face recognition yang menyebabkan kinerja deteksi kurang baik. Oleh karena itu, restorasi resolusi citra diperlukan untuk mengatasi masalah tersebut. Pada tugas akhir ini, digunakan salah satu perbaikan citra yaitu metode VGAN (Vanilla Generative Adversarial Network) yang disisipkan downsampling dan upsampling pada layer strukturnya dan telah diuji dan dibandingkan dengan metode SRGAN (Super Resolution Generative Adversarial Network). VGAN dan SRGAN memiliki kapasitas untuk melakukan perbaikan citra resolusi rendah menjadi citra dengan resolusi tinggi. Dataset yang digunakan adalah CelebA - HQ (Celeb Faces Attributes High Quality) terdiri dari 1000 citra wajah. Hasil akhir menunjukkan bahwa metode VGAN modifikasi mendapatkan nilai PSNR tertinggi sebesar 31.82 dB dan SSIM sebesar 0.91. Sementara itu, metode SRGAN modifikasi mendapatkan nilai PSNR tertingggi sebesar 33.9 dB dan SSIM sebesar 0.923. Berdasarkan pengujian pada dataset, dapat disimpulkan bahwa metode SRGAN lebih unggul dibandingkan VGAN dalam melakukan pengujian menggunakan dataset CelebA – HQ. Hasil tersebut menunjukkan bahwa SRGAN mampu melakukan perbaikan citra dengan baik. Kata Kunci: Citra Wajah, Resolusi, SRGAN, VGAN
Co-Authors Alfiansyah Alfiansyah Ali Ridho Ar-Rafi, Dimas Arfidianti Kartika Meiza Putri Arindaka, Hafizhan Bhamakerti Arining Pangestu Bambang Hidayat Chairy Ramadhan Chintia Viranda Darwanis Darwanis Devie Yundianto Dwi Bayu Leksono Efri Suhartono Eka Rima Prasetya Gelar Budiman HAFIZHANA, YASQI Heri Wibowo Hidayat, Safrudin I G A M Wibhu Cadu Asrawan Ida Wahidayah Ifan Fadlina Anhar Ikhsan Ikhsan Irvan Ragil Boesandi Iwa Swandana Iwan Iwut Tritoasmoro Jangkung Raharjo Kahfi Fadhlan Maulana Ledya Novamizanti M Aulia Fitra Purba Marissa Kezia Maghein Masrul Masrul Meiza Putri, Arfidianti Kartika Mohammad Bisma Rezady Mohammad Fauziddin Muammar Khaddafi Muh Hisyam Siddiq Muhammad Aprianda Rahmadi Nadirsyah, Nadirsyah Nginayah, Siti Nur Ibrahim Nusyahya, Regisa Pradipta Bagoes Santoso Ramadhan, Chairy Rangga Wahyuning Gusty Ratri Dwi Atmaja Rayyan Firdaus RENDRAGRAHA, RENDY DWI RENDRAGRAHA, RENDY DWI Ridho Nurbagja Gumelar Rifqi, Farhan Sulthan Rohaili, Rohaili Rufus Ocsan Rustam Rustam Ryan Aminullah Salsabila, Ade Dafa Salsabila, Viya Aurelia SIREGAR, RIZKY DAMARJATI SIREGAR, RIZKY DAMARJATI Siti Aqila Zahra Nst Sulthan Rifqi, Farhan Tikki Capriati Marieski Trisna , Nila Vellayati Hajad, Vellayati Viya Aurelia Salsabila Wicaksono, Satriyo Sakti YOGASWARA, HERLAMBANG Yugnan Adi Sasongko Yusak, Yuniarti Zahra, Siti Aqila Zaidar, Emma