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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Pendidikan Fisika Undiksha Jurnal Diskursus Islam English Review: Journal of English Education KARSA: Jurnal Sosial dan Budaya Keislaman (Journal of Social and Islamic Culture) Al-Ahwal: Jurnal Hukum Keluarga Islam Jurnal Deformasi JURNAL NASIONAL TEKNIK ELEKTRO Sosioreligius: Jurnal Ilmiah Sosiologi Agama Jurnal Teknik Jurnal Pengabdian UntukMu NegeRI Sosial Horizon: Jurnal Pendidikan Sosial Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Maqasid: Jurnal Studi Hukum Islam Rancang Bangun Studia Religia: Jurnal Pemikiran dan Pendidikan Islam Journal Of Nursing Practice Jurnal At-Tibyan: Jurnal Ilmu Alqur’an dan Tafsir Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Keperawatan Muhammadiyah Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan JOURNAL EQUITABLE YUSTISI International Journal of Elementary Education JUMANJI (JURNAL MANAJEMEN JAMBI) Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Psikoislamedia : Jurnal Psikologi MIMBAR : Jurnal Penelitian Sosial Dan Politik PERSPEKTIF Santhet: (Jurnal Sejarah, Pendidikan Dan Humaniora) Al-Ittihad: Jurnal Pemikiran dan Hukum Islam Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika MDJ (Makassar Dental Journal) ADHKI: Journal of Islamic Family Law International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Medium : Jurnal Ilmiah Fakultas Ilmu Komunikasi Journal Informatic, Education and Management (JIEM) Al Marhalah Jurnal Pengabdian kepada Masyarakat Nusantara Journal Zetroem Yustisi: Jurnal Hukum dan Hukum Islam Koordinat : Jurnal Pembelajaran Matematika dan Sains Indian Journal of Forensic Medicine & Toxicology JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Math-UMB.EDU Inspirasi Ekonomi : Jurnal Ekonomi Manajemen Ekasakti Jurnal Penelitian dan Pengabdian (EJPP) International Journal of Economics, Management, Business, and Social Science Epistema JIKI (Jurnal Ilmu Komputer dan Informatika) Jurnal Bingkai Ekonomi (JBE) Jurnal Pengabdian Kepada Masyarakat Patikala TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Al-Ubudiyah: Jurnal Pendidikan dan Studi Islam Humantech : Jurnal Ilmiah Multidisiplin Indonesia International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) BASHAIR Jurnal Komputer, Informasi dan Teknologi NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Nurse and Holistic Care DEVELOPMENT : Journal of Community Engagement MACHINERY: Jurnal Teknologi Terapan Jurnal Ilmiah Bakti Farmasi Jurnal Multidisiplin Madani (MUDIMA) Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Cakrawala Ilmiah Warmadewa Minesterium Medical Journal HEUTAGOGIA: Journal of Islamic Education Jurnal Sains Informatika Terapan (JSIT) Inovasi Matematika (Inomatika) Denta: Jurnal Kedokteran Gigi Ahmad Dahlan Medical Journal Pedagogik : Jurnal Pendidikan Guru Sekolah Dasar Indonesian Journal of Electrical Engineering and Renewable Energy (IJEERE) International Journal of Education and Teaching Zone Jurnal Andalas: Rekayasa dan Penerapan Teknologi Edu Research : Jurnal Penelitian Pendidikan Al Lughawiyaat PEKERTI Journal Pendidikan Agama Islam & Budi Pekerti Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Literasi: Jurnal Pendidikan Guru Indonesia International Journal of Economics (IJEC) Journal of Geology and Exploration International Journal of Integrative Sciences Hexagon JISPE Journal of Islamic Primary Education International Journal of Advanced Science Computing and Engineering QANUN: Journal of Islamic Laws and Studies Jurnal Guru Pencerah Semesta (JGPS) Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Jurnal Katalisator Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal Qawwam Jurnal Komunikasi dan Kebudayaan Ezra Science Bulletin Gudang Jurnal Multidisiplin Ilmu Jurnal Pengabdian Bangsa Kelola: Jurnal Manajemen Pendidikan Jurnal Elektro Kontrol (ELKON) MILRev: Metro Islamic Law Review JRIIN :Jurnal Riset Informatika dan Inovasi Ekasakti Journal of law and Justice ISCO Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Pengabdian Masyarakat (Jupemas) Jurnal Quancom: Jurnal Quantum Komputer Jurnal Pengabdian Masyarakat dan Riset Pendidikan BATOBO: Jurnal Pengabdian Kepada Masyarakat Indev: Literasi Media Dakwah dan Pengembangan Masyarakat EduInovasi: Journal of Basic Educational Studies MADIKA: Jurnal Politik dan Governance Jurnal Sosial Ekonomi Perikanan Jurnal Pengabdian Kepada Masyarakat Meambo Journal of Authentic Research MERDEKA: Jurnal Ilmiah Multidisiplin Jurnal Al-Mubarak: Jurnal Kajian Al-Qur'an dan Tafsir Journal of Progressive Information, Security, Computer and Embedded System Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Jurnal Teknik dan teknologi tepat guna Jurnal Pengabdian Masyarakat Bangsa AL-ABSHOR : Jurnal Pendidikan Agama Islam The Indonesian Journal of Computer Science Majalah Pengabdian Indonesia Jurnal Manajemen Bisnis dan Keuangan MASADIR: Jurnal Hukum Islam JCSE: Journal of Community Service and Empowerment International Journal of Wireless And Multimedia Communications Jurnal MediaTIK Macca: Science-Edu Journal Journal Information Technology Trends International Journal of Economics, Business and Innovation Research JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Hikamatzu Journal of Multidisciplinary Research Emitor: Jurnal Teknik Elektro Al-Bustan: Jurnal Pendidikan Islam LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI El-Madaniyah: Jurnal Pengabdian Masyarakat Journal of Community Service Jurnal Riset Multidisiplin Edukasi AT-TAKLIM: Jurnal Pendidikan Multidisiplin INOVASI: Jurnal Ekonomi, Keuangan, dan Manajemen Journal of Engineering Science and Technology Applications DARUSSALAM: Scientific Journal of Islamic Education JMP : Jurnal Mahasiswa Pemerintahan Journal of Biotropical Research and Nature Technology Journal of Statistics and Data Science Jurnal Pgmi Uniga Aksi Kita: Jurnal Pengabdian Kepada Masyarakat UPEJ : Unnes Physics Education Journal As-Sulthan Journal of Education JURNAL PENDIDIKAN DAN KEBUDAYAAN MISSIO Journal of Primary Education Innovation and Research INTENS Jurnal Inovasi Sains Teknologi dan Bisnis Cognitia : International Engineering Journal Melayunesia Law JUPIKMAS Innovasi : Jurnal Inovasi Pendidikan
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“Data-Driven Decision Making”: Pengenalan Statistika dan Pemanfaatannya di SMA IT Iqra Kota Bengkulu Firdaus; Rachmawati, Ramya; Hidayati, Nurul; Damayanti, Septri; Yosmar, Siska
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 8 No. 1 (2025): APRIL: Jurnal Pengabdian Kepada Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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Abstract

Kemampuan mengambil keputusan yang baik merupakan kebutuhan esensial bagi siswa. Terdapat banyak metode dalam mengambil keputusan, salah satunya adalah Data-Driven Decision Making, yaitu pengambilan keputusan berdasarkan analisis data. Pentingnya peran data dalam menentukan pengambilan keputusan berdasarkan data belum utuh dipahami oleh siswa SMA IT Iqra Kota Bengkulu karena kurikulum pada jenjang SMA terbatas pada statistika deskriptif yang meliputi pengenalan ukuran pemusatan, ukuran penyebaran, dan visualisasi data. Program Pengabdian Kepada Masyarakat (PkM) dengan judul “Data-Driven Decision Making”: Pengenalan Statistika dan Pemanfaatannya di SMA IT Iqra Kota Bengkulu bertujuan untuk mengenalkan analisis korelasi dan regresi yang dapat digunakan untuk mendukung pengambilan keputusan. Pelaksanaan PkM dilaksanakan secara klasikal dengan penyampaian materi dan pelatihan langsung dengan memanfaatkan Bahasa pemrograman RStudio. Evaluasi program PkM yang dilakukan dengan memberikan pre-test dan post-test menunjukkan bahwa terdapat perbedaan rata-rata hasil pemahaman sebelum dan setelah mengikuti kegiatan. Hal ini dapat diinterpretasikan bahwa kegiatan PkM memberikan pengaruh terhadap pemahaman siswa pengambilan keputusan berdasarkan analisis data.
PENERAPAN MODEL PEMBELAJARA PBL BERBANTUAN APLIKASI CANVA UNTUK MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS IV SD INPRES 6/75 MANURUNGE Firdaus; Kadir, Abd; Hasrawati
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3100

Abstract

This research is classroom action research which aims to determine descriptions of teacher activities, student activities, and learning outcomes in implementing the PBL learning model assisted by the Canva application to improve mathematics learning outcomes for class IV students at SD Inpres 6/75 Manurunge. Data collection techniques use observation and tests. The data analysis techniques in this research are data reduction, data presentation, and drawing conclusions. The research results showed that teacher activities in managing learning experienced an increase in the optimal learning process from cycle I to cycle II seen from teacher activities in implementing good learning designs in accordance with the steps of the PBL learning model assisted by the Canva application. Student activity in participating in the learning process has increased from cycle I to cycle II as seen from the results of observations during the learning process using observation sheets. As for student learning outcomes in cycle I, there were 14 out of 20 students who were complete with an average score of 76.25 with a percentage of student learning completeness reaching 70% (fair), while student learning outcomes in cycle II were 17 out of 20 students achieving a complete score with an average score of 87.25 with a percentage of student learning completeness reaching 85% (good). It can be concluded that the PBL learning model assisted by the Canva application can improve student Mathematics learning outcomes.
PENERAPAN MODEL DISCOVERY LEARNING UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS SISWA DALAM PEMBELAJARAN MATEMATIKA KELAS IV SD NEGERI 9 TA KECAMATAN TANETE RIATTANG KABUPATEN BONE Firdaus; Kadir, Abd; Putri Faisal, Sri Afriani
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3101

Abstract

This study was motivated by the application of the Discovery Learning model to improve students' critical thinking skills in learning mathematics class IV SD Negeri 9 TA Tanete Riattang District, Bone Regency. The objectives of the study were 1) to describe teacher activities in the application of the Discovery Learning model in learning mathematics in class IV SD Negeri 9 TA Tanete Riattang District, Bone Regency. 2) to describe students' activities in the application of the Discovery Learning model in learning mathematics in class IV of SD Negeri 9 TA Tanete Riattang District, Bone Regency. 3) to determine the improvement of students' critical thinking skills in learning mathematics in class IV SD Negeri 9 TA through the application of the Discovery Learning model. The approach used in this research is descriptive qualitative. The subjects in this study were all fourth grade students totaling 28 people and the fourth grade homeroom teacher. The data collection techniques used were observation, tests, and documentation. Data analysis techniques by reducing data, presenting data, and drawing conclusions. Based on the results of the research that has been carried out, students' critical thinking skills have increased through the Discovery Learning learning model. This can be seen from the results of the first cycle test reaching the moderately critical category and in cycle II reaching the critical category. It can be concluded that the Discovery Learning model can improve students' critical thinking skills in learning mathematics.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE TAI BERBASIS BAAMBOOZLE UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV SD INPRES 12/79 ARASOE Firdaus; Asriadi; Pratiwi, Tasyah
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3102

Abstract

This research is classroom action research which aims to find out how the application of the TAI type cooperative learning model based on Baamboozle can improve the Mathematics learning outcomes of fourth grade students at SD Inpres 12/79 Arasoe, Cina District, Bone Regency. The approach used in this research is descriptive qualitative. The subjects in this research were all 17 class IV students and the class IV homeroom teacher. Data collection techniques use observation and tests. The data analysis techniques in this research are reducing data, describing data and drawing conclusions. The research results showed that teacher activity in processing learning experienced an optimal increase from cycle I to cycle II as seen from teacher activity in carrying out good learning activities in accordance with the steps of the Baamboozle-based TAI type cooperative learning model. Student activity in participating in learning activities has increased from cycle I to cycle II as seen from observations during learning activities using observation sheets. As for student learning outcomes in cycle I, there were 12 out of 17 students who got a complete score with an average score of 70.88 with a percentage of student learning completeness reaching 70.58% (enough), and experiencing an increase in cycle II there were 14 out of 17 students who got a complete score with an average score of 78.52 with a percentage of student learning completeness reaching 82.35% (good). It can be concluded that the TAI type cooperative learning model based on Baamboozle can improve students' Mathematics learning outcomes
PENERAPAN MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING BERBANTUAN CANVA DALAM MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS IV SD NEGERI 12 MANURUNGE Wahyuni, Wiani; Firdaus; Sabir, Achmad
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3110

Abstract

This research is classroom action research which aims to determine descriptions of teacher activities, student activities, and learning outcomes in implementing the Canva-Assisted CTL learning model in Improving Mathematics Learning Outcomes for grade IV students at SD Negeri 12 Manurunge. The subjects in this research were all 23 grade IV students and the homeroom teachers. Data collection techniques use were observation and tests. The data analysis techniques in this research are data reduction, data presentation, and drawing conclusions. The research results showed that teacher activities in managing learning experienced an increase in the optimal learning process from cycle I to cycle II seen from teacher activities in implementing good learning designs in accordance with the steps of the CTL learning model assisted by Canva. Student activity in participating in the learning process has increased from cycle I to cycle II as seen from the results of observations during the learning process using observation sheets. As for student learning outcomes in cycle I, there were 16 out of 23 students who completed with an average score of 79.1 with the percentage of student learning completeness reaching 69.57% (sufficient), while student learning outcomes in cycle II were 20 out of 23 students achieving a score. completed with an average score of 87.6 with a student learning completion percentage reaching 86.9% (good). It can be concluded that the Canva-assisted CTL learning model can improve student Mathematics learning outcomes.
Phytochemical Screening n-hexane Extract of Sponge Xestospongia testudinaria from Spermonde Archipelago Kalalinggi, Septaria Yolan; Soekamto, Nunuk Hariani; Firdaus; Appa, Felycitae Ekalaya; Irmawan, Muhammad
Journal of Biotropical Research and Nature Technology Vol. 1 No. 2 (2023): Borneo
Publisher : Prodi Biologi FMIPA Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52850/borneo.v1i2.8992

Abstract

One of the islands in Indonesia that is inhabited by sponges of various types is the Spermonde Archipelago, which is located in the southern part of the Makassar Strait. Sponge X. testudinaria is one of the sponges that dominates the Spermonde Islands. The difference in environmental conditions where the sponge lives causes the sponge X. testudinaria to have a different adaptation mechanism in producing secondary metabolites as self defense. Research on the of compounds from n-hexane extract sponge X. testudinaria has been carried out using phytochemical tests. Extraction begins with maceration using n-hexane solvent then the solvent is moved using an evaporator. Identification of extract functional groups using IR spectra. The results of the phytochemical screening indicated the presence of alkaloids and steroids which were supported by IR spectrum data indicating the presence of aliphatic NH, C=O and CH groups.
Movable Solar Battery Charger Untuk Nelayan Tangkap di Kecamatan Tempuling, Indragiri Hilir, Provinsi Riau Budhi Anto; Firdaus; Dahliyusmanto; Jahrizal
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 3 (2025): MEI-JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/eceyqr81

Abstract

Nelayan tangkap skala kecil pada umumnya menggunakan lampu minyak tanah (lampu petromaks) untuk menangkap ikan dengan teknik light fishing. Penggunaan minyak tanah saat ini sedang mengalami kendala ketersediaan, karena sejak tahun 2008, pemerintah telah membatasi penggunaan minyak tanah dan menggantinya dengan LPG. Kondisi ini telah berpengaruh buruk pada kelangsungan usaha nelayan tangkap. Artikel ini melaporkan kegiatan pengabdian masyarakat yang dilaksanakan di Kecamatan Tempuling, Kabupaten Indragiri Hilir, Provinsi Riau yaitu pengadaan lampu LED bertenaga baterai beserta alat pengisian muatan baterai menggunakan listrik tenaga surya, untuk mensubstitusi lampu petromaks. Panel surya dipasang pada suatu konstruksi yang dilengkapi roda, sehingga dapat dipindah-pindah dengan mudah. Karenanya peralatan ini dinamakan movable solar battery charger (MSBC). Metode pelaksanaan pengabdian masyarakat mencakup perancangan, pembuatan, dan pengujian MSBC, penyerahan MSBC kepada mitra, dan evaluasi penggunaan MSBC oleh mitra. Kami telah mengevaluasi mitra untuk mengetahui dampak penggunaan teknologi MSBC dan lampu LED bertenaga baterai terhadap usaha penangkapan ikannya. Hasil evaluasi menunjukkan bahwa mitra telah menggunakan lampu LED bertenaga baterai untuk menangkap ikan di malam hari, dan menggunakan MSBC untuk mengisi muatan baterai di siang hari. Dengan menggunakan MSBC, mitra telah beralih dari penggunaan lampu petromaks ke lampu LED, sehingga dapat menghemat biaya operasional sebesar Rp 180.000 tiap bulan.
Identification of Indonesian Authors Using Deep Neural Networks Firdaus; Fahreza, Irvan; Nurmaini, Siti; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Rachmatullah, Muhammad Naufal; Lestari, Suci Dwi; Fachrurrozi, Muhammad; Afrina, Mira; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

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Abstract

Author Name Disambiguation (AND) is a problem that occurs when a set of publications contains ambiguous names of authors, i.e. the same author may appear with different names (synonyms) in other published papers, or author (authors) who may be different who may have the same name (homonym). In this final project, we will design a model with a Deep Neural Network (DNN) classifier. The dataset used in this final project uses primary data sourced from the Scopus website. This research focuses on integrating data from Indonesian authors. Parameters accuracy, sensitivity and precision are standard benchmarks to determine the performance of the method used to solve AND problems. The best DNN classification model achieves 99.9936% Accuracy, 93.1433% Sensitivity, 94.3733% Precision. Then for the highest performance measurement, the case of Non Synonym-Homonym (SH) has 99.9967% Accuracy, 96.7388% Sensitivity, and 97.5102% Precision.
Forecasting Of Intensive Care Unit Patient Heart Rate Using Long Short-Term Memory Firdaus; Fachrurrozi, Muhammad; Nurmaini, Siti; Tutuko, Bambang; Rachmatullah, Muhammad Naufal; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Islami, Anggun; Maharani, Masayu Nadila; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 12 No. 3 (2023)
Publisher : Universitas Sriwijaya

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Abstract

Cardiac arrest remains a critical concern in Intensive Care Units (ICUs), with alarmingly low survival rates. Early prediction of cardiac arrest is challenging due to the complexity of patient data and the temporal nature of ICU care. To address this challenge, we explore the use of Deep Learning (DL) models, specifically Long ShortTerm Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU), for forecasting ICU patient heart rates. We utilize a dataset extracted from the MIMIC III database, which poses the typical challenges of irregular time series data and missing values. Our research encompasses a comprehensive methodology, including data preprocessing, model development, and performance evaluation. Data preprocessing involves regularizing and imputing missing values, as well as data normalization. The dataset is partitioned into training, testing, and validation sets to facilitate model training and evaluation. Fine-tuning of hyperparameters is conducted to optimize each DL architecture's performance. Our results reveal that the GRU architecture consistently outperforms LSTM and BiLSTM in predicting heart rates, achieving the lowest RMSE and MAE values. The findings underscore the potential of DL models, particularly GRU, in enhancing the early detection of cardiac events in ICU patients.
TeleOTIVA: Advanced AI-Powered Automated Screening System for Early Detection of Precancerous Lesions Rachmatullah, Muhammad Naufal; Nurmaini, Siti; Agustiansyah, Patiyus; Sastradinata, Irawan; Arum, Akhiar Wista; Firdaus; Darmawahyuni, Annisa; Tutuko, Bambang; Sapitri, Ade Iriani; Islami, Anggun
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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Abstract

In 2023, the Indonesian Ministry of Health launched the Rencana Aksi Nasional (RAN) to enhance the detection and management of cervical cancer in Indonesia. One of the main pillars in this movement is the implementation of early screening for precancerous lesions aimed at identifying and treating these lesions before they develop into cervical cancer. This effort includes improving public access to healthcare services, providing education and awareness about the importance of early detection, and utilizing the latest technology in screening procedures. It is hoped that, through these targeted and effective interventions, the incidence of cervical cancer can be significantly reduced. This research aims to facilitate the early detection screening process for cervical precancerous lesions, particularly in difficult areas for medical experts to reach. This study also seeks to assist obstetricians and gynecologists in detecting precancerous lesions automatically, quickly, and accurately. By developing an advanced technology-based screening system, it is hoped that early detection of precancerous lesions can be carried out more efficiently, thereby increasing the chances of timely treatment and reducing the incidence of cervical cancer across various regions in Indonesia. This system is designed to provide reliable and user-friendly diagnostic support as it is developed on a mobile platform that can be accessed anytime and anywhere. This research developed a system for early screening called TeleOTIVA. The TeleOTIVA application system is an advanced platform that uses artificial intelligence (AI) based approaches to provide optimal services in early detection of precancerous lesions. This application is designed for mobile, allowing users to access and use its advanced features anytime and anywhere. With the integration of AI technology, TeleOTIVA can detect and analyze cervical precancerous lesions accurately and quickly to provide accurate and efficient screening results. The TeleOTIVA application system is capable of providing satisfactory detection results. The performance of the proposed model achieves accuracy, sensitivity, and specificity levels above 90%. With this high performance, TeleOTIVA ensures that the detection of precancerous lesions is carried out with high reliability and precision, instilling greater confidence in healthcare professionals and users during the screening and diagnosis process. The implementation of our application model offers numerous advantages over traditional methods. It significantly enhances efficiency by automating processes, reduces human error through rigorous error-checking mechanisms, and accelerates the processing of large datasets. These improvements streamline operations and ensure more reliable and rapid data analysis.
Co-Authors A. Syachruroji AA Sudharmawan, AA Abd Kadir, Abd Abd. Kadir Abdi Suprayitno Abdul Basir, Muchammad Abdul Gafara Karim Abdul Haris Sunubi Abdul Kadir Abiyyu Caesar Bimoseno Abu Bakar Abubakar, Achmad Achmad Yarziq Mubarak Salis Salamy Ade Hidayat, Ade Ade Saputra Ade saputra Adhe Amelia Oktaviana adhit syach fiqri Aditya Putri, Metha Adyatma Ramadhani Afrida Agnes Triana Pamassangan Agus Firmansyah Agus Munandar Agustiani, Dian Putri Ahmad Fauzul Mubin Ahmad Julio Saputra Ahmad Lahmi Ahmad Mujahid Ainania Aura Sabriena Putri Aisyah Akbar, Rizky Akhwalis Shalihah Akhyar Akolo, Ingka Rizkiyani Al Ayyubi, Ibnu Imam Al Imran Alam Budiman Thamsi Aldi Suryadi Alexsander Alfalah Alfalisyado Ali Muchammad Aliana, Cut Rizka Aliyah Sayyidina Putri Bahtiar Alvin Arinanda Alvita Widya Kustiawan Putri Ambarwati, Riris Ambo Dalle Amin , Sulvahrul Aminullah, Lanang Maulana Amir Hamzah Amir Hamzah Amiruddin Ammase. S Amru Sofian Ananda, Dea Agustria Anasrul Andi Fahdli Heriansyah Andi Khaerun Nisa Andi Muhammad Ridwan Andi Zulfikar Darussalam Andikawati Fitriasari Andini Hardiningrum Andry Halim ANISAH Anjani, Dito Fatria Annisa Efidiawati Annisa Salsabilla Anshari, Erwin Anto Apriyanto Anwar, Ardian Aprilino Alfa Kurmasela Apriwandi Apriyal, Derry Ardani, Maulidya Ardiansyah, Diky Ardillah, Ardiyah Arfah, Susilo Ariana Ari Sandhyavitri Arif Ahmad Marzuki, Mudzakkir Muhammad Arif Nurwaskito Arifin, Mubdiana Arman Hari Susilomarto Arni Sasmitasari Arqam Arrachman Arum, Akhiar Wista Ashafidz Fauzan Dianta Ashari, Meisar Asih Vivi Yandari, Indhira aska, bayu pratama Aslam, Beni Asri Friantori, Mohammad Asriadi Asril Atik Rahayu Aulia Miranti Larasathi Awaliah Nafiu, Wd Rizky Awaliah, Wd Rizky Awaluddin Muin Ayu, Friska Azhari Zakri, Azriyenni Azharuddin Azzahraty Bagus Abdillah Baharuddin Baharuddin Bakri, Suriyanto Bambang Tutuko Banta Diman Baskoro, Aji Basra, Sri Meiweni Basrial Zuhri Bastam, Mukhlis Nahriri Bayu Wijaya Putra Bhima Nareshwara , Adhitya Billy Hendrik Bisma Putra Pratama Bony Pramono Boy Ihsan Budhi Anto Budiman Sakti Cendana , Dori Mitra Chalik, Citra Aulian Daffa Wahid Sya'bani Dahliyusmanto, Dahliyusmanto Darmawahyuni, Annisa Darmiyati, Iin Dasrizal Marah Nainin Della Endangtri Deniyatno, Deniyatno Deny Fatrianto Edyzoh Eko Widodo Deny Fatryanto Desminar Desnita, Eka Dessy Ana Sari Dharma, Robby Dian Pertiwi Dian Yayan Sukma, Dian Yayan Dimas Bagus Susanto Dimas Satrio Wijaksono Dinda Lestarini Dinul Akhiyar Dodi Setiawan Riatmaja doni doni Dony Hutabarat Duski Samad Dwi Andhara Valkyrie Dwi Angesti Putri , Refly dwi cahyani, Orina Edi Wanda Edi Winarno Edi Winarno, Edi Edy Mahfuz Eka Damayanti Eka Ganda Winata , I Putu Eka Putri Rahayu Ekawati, Rizka Eko Nursalim Elda Nazriati Elfira Makmur Elimartati Elimartati Elma Rida Yanti Elvira Sukma Wahyuni Emilda Amini Enrico Alamo Erika Maulina Ervia Toga Erwandi Mohamad Haron, Didi Erwina Oktavianty Ery Safrianti Fadila Haerunnisa, Nurul Fadilla Malik, Topan Fadlan Hawari Fachrully Fahmi, Merdila Nuril Fahreza, Irvan Fahrulriza, Teuku Fajariyanto, Eko Fakhrurrazi Fathiyah Idris Fatma Fausiah Latif Fazilatunnisa, Azwa Febby Kesumaningtyas Felycitae Ekalaya Appa Fenita Tanjung Maharani Feranita Firman Firmanto, Taufik Fitriani, Namiyah FITRIANTI Fitriyani Fri Murdiya, Fri Fuadi, Mhd Yusral Gemala Jondya, Aisha Genius Umar Ghaly Risyadi GHANY, ABDUL Gihon Nakata Silaen Guslendra Habas Addawy, Rauzan Habibulloh Hadaming, Hamdana Haerudin Hafid, Fathurrahman Halim, Desty Vitrya Halimah Basri Hamdani Hamdani, Eddy Hamriyani Ryka Hamzah, Ekawati Hanalde Andre HANDAYANI Haratua Tiur Maria Silitonga Harianto, Jakoep Ezra Harifuddin Haripuddin Harmiati Hartono Hartono Hasrawati Hati, Hikmah Hayat, Misbahul Heldy Febryanto Hellen Thesta Fanessia Hengki Firmanda Heris Santy, Wesiana Herlinawati Hermawan Hermawan Hidaayah, Nur Hidayat , Syukriadi Hidayatullah, M. 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