Article Per Year (5 Year)
p-Index From 2020 - 2025
1.611
P-Index
This Author published in this journals
All Journal Journal of Science and Applicative Technology Desimal: Jurnal Matematika Journal of Multidisciplinary Academic Smart Society: Community Service and Empowerment Journal RENATA Jurnal Pengabdian Masyarakat Kita Semua Jurnal Pengabdian Kepada Masyarakat Radisi
Irawati, Febri Dwi
Institut Teknologi Sumatera
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Numerical FEM Models of Bio-heat Transfer for Magnetic Fluid Hyperthermia Treatments Febri Dwi Irawati; Agus Kartono
Journal of Multidisciplinary Academic Vol 5, No 1 (2021): Science, Engineering and Social Science Series
Publisher : Penerbit Kemala Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Numerical solutions using the Finite Element Method (FEM) of one-dimensional bio-heat transfer of healthy and cancerous tissue together with the Magnetic Fluid Hyperthermia treatment have been worked out successfully. Each layer shows the characteristics of tissue. Each layer represents an independent biological tissue characterized by temperature-dependent physiological parameters and linear temperature-dependent metabolic heat generation. Magnetic fluid hyperthermia (MFH) is used as an external heat source to heat the cancerous area. In a transient state MFH treatments can heat up cancerous tissue without damaging healthy tissue as indicated by an increase in the temperature of the cancer tissue according to the standard temperature of the MFH treatments.
Pelatihan Penerapan Sistem Integrasi Data Kependudukan Sederhana (SIDaKS) Di Kecamatan Kota Agung Timur Tanggamus Dani Al Mahkya; Fery Widhiatmoko; Dian Anggraini; Tirta Setiawan; Febri Dwi Irawati; Meida Cahyo Untoro
Jurnal Pengabdian kepada Masyarakat Radisi Vol 2 No 1 (2022): April
Publisher : Yayasan Kajian Riset dan Pengembangan RADISI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55266/pkmradisi.v2i1.68

Abstract

System-based data recording is indispensable in all fields, including government agencies. One of the important points in data recording is system integration. Data integration has the advantage of making the flow of organizational information better. One of the problems that arise in this Community Service activity partner is the unavailability of a population data integration system from each village/village to the sub-district. This activity aims to conduct training, mentoring and demonstration of the proposed integration system. The solution that will be offered is to conduct training and socialization related to population data management and integration. This training and socialization will use Ms. Excel and Google Sheet in the process. The method used in implementing community service activities is training and mentoring as well as demonstrations related to the Implementation of the Simple Population Data Integration System (SIDaKS) in Kota Agung Timur District, Tanggamus. The training was carried out in the East Kota Agung District hall, Tanggamus. Participants who attended the activity were representatives of each village/village in the Kota Agung Timur District. There are several steps taken to support the implementation of activities. The activity took place smoothly in accordance with the applicable health protocol. And it will be held on September 30, 2021 at the Kota Agung Timur , Tanggamus
Natural Resources Data Visualization Training Using Google Data Studio in Triharjo Village, Merbau Mataram District, South Lampung Regency Muthoharoh, Luluk; S, Mika Alvionita; Irawati, Febri Dwi; Setiawan, Tirta; Nadeak, Christyan Tamaro
Smart Society Vol 3, No 2 (2023): December 2023
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v3i2.287

Abstract

Visualization is becoming as the most frequent tool for examining and extracting information from datasets by novice and professional researchers alike. Many data processing applications help to present and report data. One of the digital tools that is quite widely used is Google Data Studio. This Community Service activity aims to provide data visualization training to Triharjo Village, one of the villages that still does not use digitalization to access village data online. Natural Resources Data Visualization Training Using Google Data Studio in Triharjo Village, Merbau Mataram District, South Lampung Regency has been successfully implemented and attended by 10 (ten) participants consisting of village officials. This activity is very necessary to facilitate the monitoring of agricultural products from Triharjo Village on the dashboard via the village website. The target in community service has also been achieved and serves to provide problem solving for problems that occur with partners, namely in the form of: 1. Can introduce the Tiharjo village community to the importance of digitizing performance dashboards. 2. Can teach how to use Google Data Studio tools which can be used to help the process of creating Dashboards. With this training, it is hoped that it can help manage natural resource data which will help village officials and village communities, teachers and students in providing information services related to data visualization.
Regional Validation Coastal Sea Level Anomaly Estimation from Altimetry Satellite and Tide Gauges Data using Fuzzy Inference System: A Case Study Around Natuna Seas Permana, Rizki Dimas; Gaol, Jonson Lumban; Irawati, Febri Dwi; Rohman, Tefur Nur; Badri, Rizty Maulida
Journal of Science and Applicative Technology Vol. 8 No. 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1851

Abstract

The validation of waveform retracking analyses with Fuzzy Inferences system, which was previously developed to optimize the estimation of sea surface height (SSHs), particularly in coastal locations, is presented in this study. The fuzzy inference system has been tested and validated in the Natuna Sea, Indonesia, where altimetry waveforms varied based on water conditions. Validation was performed by comparing the waveform retracking result of Jason-3 data with in-situ tide gauge data and geoid. The validation of waveform retracking data for sea level anomaly (SLA) estimate against tidal data demonstrates that the waveform retracking with a fuzzy inference system is more accurate than previous approaches. Waveform retracking with fuzzy inference system is able to produce an average temporal correlation of 0.75-0.89 and RMSE between 0.15-0.17 m. The waveform retracking combined with a fuzzy inference system can improve SLA estimation accuracy in nearshore up to 4 km from the coastline. The results indicate that retracking with fuzzy inference system has the potential to be used in other complicated oceans.
Pelatihan Algoritma Machine Learning dalam Robotik di MAN 1 Bandar Lampung Badri, Rizty Maulida; Mika Alvionita; Ramdani, Ahmad Luky; Ira Safitri; Irawati, Febri Dwi; Wisnubroto, M. Syamsuddin; Nasywa, Halilah Roja
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 3 No. 1 (2025): Renata - April 2025
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.135

Abstract

Program Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk mengenalkan algoritma pembelajaran mesin dalam robotika kepada siswa MAN 1 Bandar Lampung melalui pelatihan intensif. Kegiatan ini diikuti oleh 10 siswa anggota ekstrakurikuler Cyber yang sebelumnya fokus pada pemrograman robotika manual tanpa pembelajaran mesin. Metode pelaksanaan meliputi observasi langsung selama pelatihan, wawancara semi-terstruktur dengan peserta, serta dokumentasi berupa foto, video, dan catatan proyek yang dihasilkan. Observasi dilakukan untuk memahami dinamika proses belajar, interaksi antar peserta, dan penerapan konsep robotika dalam praktik. Wawancara difokuskan pada motivasi peserta, pengalaman belajar, tantangan yang dihadapi, serta dampak pelatihan terhadap minat dan keterampilan mereka. Data kuantitatif dikumpulkan melalui tes pemahaman sebelum dan setelah pelatihan, menunjukkan bahwa 75% peserta mengalami peningkatan signifikan dalam pemahaman konsep dasar pembelajaran mesin dalam robotika, dengan 50% di antaranya mencapai tingkat pemahaman tinggi (skor di atas 80). Materi pelatihan mencakup jenis dan fungsi robot, perkembangan teknologi robot, serta prospek masa depan robotika. Kegiatan ini disambut antusias oleh siswa dan guru, meningkatkan minat mereka terhadap teknologi dan membuka peluang eksplorasi lebih lanjut di bidang rekayasa robotika. Data dianalisis secara tematik menggunakan teknik coding, dengan validitas diperkuat melalui triangulasi sumber dan metode serta pengecekan ulang oleh partisipan (member checking). Aspek etika dijaga dengan memastikan kerahasiaan identitas peserta dan memperoleh persetujuan tertulis sebelum pengumpulan data. Hasil kegiatan ini diharapkan menjadi fondasi bagi pengembangan program robotika yang lebih advanced di MAN 1 Bandar Lampung
The Implementation of Regularized Markov Clustering with Pigeon Inspired Optimization Algorithm in Analyzing the SARS-CoV-2 (COVID-19) Protein Interaction Network Wisnubroto, M. Syamsuddin; Siburian, Marsudi; Irawati, Febri Dwi
Desimal: Jurnal Matematika Vol. 3 No. 3 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i3.6822

Abstract

Proteins interact with other proteins, DNA, and other molecules, forming large-scale protein interaction networks and for easy analysis, clustering methods are needed. Regularized Markov clustering algorithm is an improvement of MCL where operations on expansion are replaced by new operations that update the flow distributions of each node. But to reduce the weaknesses of the RMCL optimization, Pigeon Inspired Optimization Algorithm (PIO) is used to replace the inflation parameters. The simulation results of IPC SARS-Cov-2 (COVID-19) inflation parameters  get the result of 42 proteins as the center of the cluster and 8 protein pairs interacting with each other. Proteins of COVID-19 that interact with 20 or more proteins are ORF8, NSP13, NSP7, M, N, ORF9C, NSP8, and NSP1. Their interactions might be used as a target for drug research.
Co-Authors Agus Kartono Dani Al Mahkya Dian Anggraini Fery Widhiatmoko Jonson Lumban Gaol M. Syamsuddin Wisnubroto Mika Alvionita Mika Alvionita Sitinjak Muthoharoh, Luluk Nadeak, Christyan Tamaro Nasywa, Halilah Roja Ramdani, Ahmad Luky Rizki Dimas Permana Rizty Maulida Badri Rohman, Tefur Nur RR. Ella Evrita Hestiandari S. Marsudi Siburian, Marsudi Tirta Setiawan Tirta Setiawan, Tirta Untoro, Meida Cahyo Wisnubroto, M. Syamsuddin