Article Per Year (5 Year)
p-Index From 2021 - 2026
5.762
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Seni ITS JFA (Jurnal Fisika dan Aplikasinya) JURNAL NASIONAL TEKNIK ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Sinergitas PkM & CSR JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Indonesian Physical Review Jurnal Teori dan Aplikasi Fisika Building of Informatics, Technology and Science Madani : Indonesian Journal of Civil Society Journal of Telecommunication, Electronics and Control Engineering (JTECE) IJCOSIN : Indonesian Journal of Community Service and Innovation eProceedings of Engineering Jurnal Rekayasa elektrika El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi Jurnal Teknokes Jurnal Pengabdian Masyarakat Indonesia Jurnal Publikasi Teknik Informatika
Irmayatul Hikmah
Telkom University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
Effect of Electrolytes on the Performance of Dye-Sensitized Solar Cell (DSSC) with Mulberry (Morrus) Extract as Dye Sensitizer: irmayatul hikmah, ZId Latifatas Zahrok, Gontjang Prajitno Irmayatul Hikmah Irmayatul Hikmah; Zid Latifataz Zahrok Zid Latifataz Zahrok; Gontjang Prajitno Gontjang Prajitno
Jurnal Fisika dan Aplikasinya Vol 17 No 1 (2021): January 2021 Edition
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v17i1.6988

Abstract

A prototype of Dye Sensitized Solar Cell (DSSC) based TiO2 nanoparticles and mulberry (morrus) extract as dye sensitizer on the ITO glass substrate has been produced. The study aims to determine the difference between the use of gel electrolyte and liquid electrolyte on its influence on DSSC performance. Sandwich cells were made consisting of a working electrode in the form of a conductive glass ITO deposited with TiO2 which was sensitized by a dye of mulberry extract, the opposite electrode in the form of a conductive glass ITO with carbon deposited, and the electrolyte in the middle of the two electrodes were liquid and one was gel. Irradiation was carried out on both samples by lighting halogen lamps. Tested the characteristics of voltage-time and current-time in both samples. The results obtained for higher voltage and current values in samples with liquid electrolytes, but for the period of stability the samples with gel electrolytes showed better performance.
Performance Analysis of Quantum Long Short-Term Memory (QLSTM) Models for TLKM Stock Price Prediction Nasya Vhazira; Irmayatul Hikmah; Mas Aly Afandi
Building of Informatics, Technology and Science (BITS) Vol 7 No 4 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i4.9337

Abstract

Stock price prediction is a challenging task due to its nonlinear, dynamic, and temporal characteristics, yet accurate forecasting models are crucial for decision-making in volatile stocks such as PT Telkom Indonesia Tbk (TLKM). Despite the rapid adoption of AI-based forecasting methods, several research gaps remain. Empirical studies on Quantum Long Short-Term Memory (QLSTM) are still relatively limited compared to classical LSTM variants, particularly for emerging market datasets. Existing research also tends to emphasize architectural comparisons rather than systematically analyzing training configurations. The joint effects of optimizer selection, epoch number, and hidden unit size on QLSTM performance have not been comprehensively evaluated, and many studies rely on limited evaluation metrics, reducing the strength of robustness assessment. To address these gaps, this study applies a QLSTM model to predict stock opening prices using historical time-series data and systematically evaluates the impact of different optimizers. The model is trained using Adam, Nadam, RMSprop, and SGD with epoch variations (50–250) and hidden units (8, 16, 32). Performance is measured using accuracy, MAE, MSE, RMSE, MAPE, and R² to ensure a comprehensive evaluation. The results indicate that adaptive optimizers consistently outperform SGD, with Adam providing the most stable and accurate predictions, highlighting the importance of optimizer choice and hyperparameter configuration in QLSTM-based stock forecasting.
Analysis of the Effect of Abnormal Tissue Size on the S11 Response of a Monopole Antenna Using a Realistic Heterogeneous Breast Phantom Isma Hanifah; Irmayatul Hikmah; Nur Afifah Zen; Muntaqo Alfin Amanaf
Jurnal Teknokes Vol. 19 No. 2 (2026): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v19i2.159

Abstract

Breast cancer remains one of the leading causes of death among women. Although conventional diagnostic methods are available, they are limited by radiation exposure risks, high operational costs, and limited accessibility. Alternatively, microwave technology offers the advantage of using non-ionizing radiation and leveraging differences in dielectric properties between healthy and abnormal tissues. The development of this technology, however, requires experimental validation using phantoms capable of realistically and stably representing the dielectric characteristics of biological tissues. In this study, a heterogeneous breast phantom was developed to evaluate antenna sensitivity in detecting variations in the size of abnormal tissue through S11 parameter analysis. The contribution of this study is the fabrication of a four-layer phantom (skin, fat, glandular, and abnormal tissue) using agar–gelatin materials. Sodium benzoate was added as a preservative to prevent microbial growth, and NaCl was incorporated to adjust the conductivity, enabling dielectric properties closer to those of real breast tissue. In the testing phase, two variations of abnormal tissue with diameters of 4 cm and 6 cm were inserted into the glandular layer to simulate different pathological conditions. The S11 response was measured using a vector network analyzer (VNA) over the 2–6 GHz frequency range with a monopole antenna placed 1 cm from the phantom. The results showed that the antenna sensor could detect differences between normal phantoms and phantoms with anomalies, particularly in the 2.5–3 GHz range. The normal phantom showed the lowest resonant frequency at 2.51 GHz with a return loss of −36.35 dB. In contrast, phantoms with 4 cm and 6 cm abnormal tissues showed shifts to 2.52 GHz (−29.71 dB) and 2.53 GHz (−28.69 dB), respectively. A maximum return loss difference of approximately 7.66 dB was observed, indicating high sensitivity to internal structural changes. These significant differences in return loss values indicate that the developed system is highly sensitive to changes in internal structure. This combination of a heterogeneous phantom and an antenna sensor has the potential to serve as a simple experimental platform to support breast cancer detection technology.
Co-Authors Adanti Wido Paramadini Aditya Prayugo Hariyanto Afandi, Mas Aly Afifah Dwi Ramadhani Afin Muhammad Nurtsani Agustinah, Chandra Amadea Githa Purwosunu Andreas Rony Wijaya Arif Amrulloh Ariq Cahya Wardhana Chandra Agustinah Christian Felix Saliman Sugiono Diani, Fitri Dina Rahmawati Dodi Zulherman Elsalami, Puspa Maudi Erlina Nur Arifani Fena Nur Mustika Fikra Titan Syifa Gontjang Prajitno Gontjang Prajitno Gontjang Prajitno Indah Permatasari Indah Permatasari Indah, Sevia Indriyanto, Slamet Isma Hanifah Izhangghani Juan Timotius Prasetya, Yosafat Kevin Pratama Woy, Mario Kholidiyah Masykuroh Kholis Abdurachim Audah Mahardika Mas Aly Afandi Maulidya Fitria Zahrah Muhammad Yusro Mulyani, Elsa Sri Muntaqo Alfin Amanaf Nasya Mauldi, Meyke Nasya Vhazira Naufal Royan Ependi, Muhammad Nirmayrahayu, Yenny Novianto, Arif Indras Nur Afifah Zen Nur Afifah Zen Nurlaili Nurlaili Paskah Saroengoe, Michael Pradana, Zein Hanni Prasetyo Yuliantoro Puteri, Keyza Nuralifa Putri Intan Anggiarti Rachel Dwi Laura Br Sigalingging, Sonia Rachma Cherlly Pramata Raditya Artha Rochmanto Rangga Saputra Rizki Amalia Pratiwi Rizky Ramadhan, Raffi Rizqy Adzani, Seftira Sarah Astiti S.Kom., M.MT Setiawan, Andri Juli Sevia Indah Purnama Shinta Romadhona SRI LESTARI Syariful Ikhwan Talenta Pasaribu, Tabitha Ummi Athiyah Witri Arsyada, Rifalia Yoga Eka Pratama Yosef Mnaku Gawen, Baltasar Yoyakim Tarumingi, Adrian Yudha Islami Sulistya Zahrok, ZId Latifatas Zen, Nur Afifah Zid Latifataz Zahrok Zid Latifataz Zahrok