Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

26.725

P-Index

This Author published in this journals

Firdaus

Unknown Affiliation

Author-ID : 1409556

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 236 Documents Claim Missing Document

Claim Missing Document

Articles

9 10 11 12 13

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

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): JUNI
Publisher : Indo Publishing

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

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

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

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

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

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

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

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.

Analyzing Co-Authorship Networks in Indonesian PTN-BH Institution Through Social Network Analysis Firdaus; Nurmaini, Siti; Kurniawan, Anggy Tias; Darmawahyuni, Annisa; Rachmatullah, Muhammad Naufal; Raflesia, Sarifah Putri; Lestarini, Dinda
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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

This study involved an examination of bibliographic information from Indonesia. Our approach centered on utilizing social network analysis to explore the co-authorship relationships among Indonesian authors, focused on the co-authorship network within the context of authors affiliated with Indonesian state universities known as "PTN-BH," which specialize in higher education and legal studies. To conduct our analysis, we gathered publication data from the Scopus database, spanning a time frame from 1948 to 2020. The primary methodology entailed constructing a graph composed of nodes and edges, representing the co-authorship connections among these authors. By employing the Louvain method, we were able to identify prominent communities within this graph. We carried out a comprehensive analysis at both macro and micro levels, involving measurement techniques tailored to these perspectives. Through this approach, we revealed and examined the collaboration patterns among authors associated with PTN-BH institutions, as illuminated by the co-authorship network analysis.

Exploration U-Net Architecture for Cervical Precancerous Lesions Segmentation Arum, Akhiar Wista; Rachmatullah, Muhammad Naufal; Tutuko, Bambang; Firdaus; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Islami, Anggun; Ananda, Dea Agustria
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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

The automatic analysis of images for the early detection of cervical cancer relies on the segmentation of cervical precancerous lesions. This paper investigates the incorporation of various CNN-based backbones into a U-Net model for improved segmentation accuracy. A set of twelve backbones was tested, including VGG16, VGG19, ResNet50, ResNext50, EfficientNetB7, InceptionResNetv2, DenseNet201, InceptionV3, MobileNet V2, SE-ResNet50, SE-ResNext50, and SE-Net154. Evaluation metrics were computed using Intersection over Union, pixel accuracy, and Dice coefficient. The findings demonstrate that U-Net with EfficientNetB7 backbone outperforms all other models with an IoU of 73.13%, pixel accuracy of 89.92%, and a Dice coefficient of 77.64%. These results were visually confirmed; segmentation outputs were examined, showing accurate delineation of lesion borders. The dominating performance of EfficientNetB7 was observed to be due to high feature extraction efficiency coupled with powerful spatial information representation. The study is, however, limited by a lack of clinical validation and expert evaluation from trained medical personnel. The results demonstrate the effectiveness of combining the U-Net architecture with advanced CNN backbones towards designing automated systems to analyze medical images.

Deep Learning for ECG-Based Arrhythmia Classification Based on Time-Domain Features Sari, Ririn Purnama; Darmawahyuni, Annisa; Tutuko, Bambang; Firdaus; Rachmatullah, Muhammad Naufal; Sapitri, Ade Iriani; Islami, Anggun; Arum, Akhiar Wista
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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

Arrhythmia is a disturbance in the electrical activity of the heart that can affect the rhythm and duration of the heartbeat. Early detection of arrhythmia is crucial to prevent more serious complications. Electrocardiogram (ECG) is an effective non-invasive diagnostic tool in detecting arrhythmia, but manual detection by experts takes time. To overcome this limitation, this research develops an arrhythmia classification system by utilizing deep learning. This study involves a series of stages, starting from pre-processing, feature extraction, and arrhythmia classification models using convolutional neural networks (CNN) and long short-term memory (LSTM). The results showed that feature extraction successfully improved model efficiency and accuracy. Evaluation of model performance using accuracy, recall, precision, specificity, and F1-score metrics showed that the LSTM model achieved 95% accuracy, 96% recall, 96% precision, 99% specificity, and 96% F1-score, outperforming the CNN model which achieved 91% accuracy, 90% recall, 89% precision, 98% specificity, and 89% F1-score. Thus, these results indicate that the LSTM model is superior in arrhythmia classification.

Analisis Nilai-Nilai Pendidikan Karakter dalam Novel Si Anak Kuat Karya Tere Liye Lu’lu’ Il Qolbie; Pamungkas Stiya Mulyani; Firdaus
MERDEKA : Jurnal Ilmiah Multidisiplin Vol. 2 No. 6 (2025): Agustus
Publisher : PT PUBLIKASI INSPIRASI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/merdeka.v2i6.5027

Komponen penting dari sistem pendidikan Indonesia adalah pendidikan karakter. Tujuannya adalah untuk membesarkan generasi muda yang tidak hanya berbakat secara intelektual, tetapi juga baik, kuat, dan berakhlak mulia. Penelitian ini dilatarbelakang oleh pendidikan karakter. Tujuan untuk prinsip-prinsip pendidikan karakter yang terdapat dalam buku Si Anak Kuat karya Tere Liye, untuk memperjelas pentingnya prinsip-prinsip tersebut bagi siswa sekolah dasar. Studi ini adalah tipe penelitian literatur, yang juga dikenal senbagai penelitian pustaka. Proses pengumpulan data melalui penelitian kepustakaan melibatkan perolehan informasi dari berbagai sumber kepustakaan, termasuk dokumen, majalah, jurnal, koran, dan buku. Menemukan berbagai teori, aturan, prinsip, pendapat, gagasan, dan sumber daya lain yang dapat diterapkan pada analisis dan penyelesaian masalah yang diteliti adalah tujuan mendasar dari penelitian kepustakaan. Kesimpulan dari penelitian ini menunjukkan bahwa pendidikan karakter dalam novel Si Anak Kuat sangat sesuai untuk siswa karena novel ini memberikan banyak pelajaran berguna yang dapat mereka terapkan dalam kehidupan sehari-hari.

Hybrid Authority Management of Nasab-Based Religious Leadership among the Habaib in Indonesia: Tradition, Modernity, and Digital Transformation Jamaludin, Muhamad; Sa'idah, Nur; Firdaus; Malik, Muhammad Hisyam
HEUTAGOGIA: Journal of Islamic Education Vol. 4 No. 2 (2024)
Publisher : Fakultas Ilmu Tarbiyah dan Keguruan Universitas Islam Negeri Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/hjie.2024.42-09

This study critically examines the management strategies of nasab-based religious authority among the Habaib in Indonesia, emphasizing the hybridity between traditional and modern forms of leadership. Utilizing a qualitative systematic literature review guided by the PRISMA framework, combined with Critical Discourse Analysis, the research analyzes 25 key scholarly articles alongside empirical digital media content and field observations. Grounded in Max Weber’s typology of authority, the findings reveal that lineage from the Prophet Muhammad serves as a foundational source of charismatic legitimacy for the Habaib, which is actively maintained through religious symbolism, public narratives, and social engagement. The study highlights a strategic adaptation to digital media platforms, enabling the Habaib to expand their influence beyond conventional institutions and engage younger, urban Muslim audiences. This digital hybridity complements institutional participation in formal religious and political spheres, fostering a dual legitimacy that navigates the tensions between tradition and modernity. The implications underscore the significance of hybrid authority models in sustaining religious leadership amid sociocultural modernization and digital transformation in Muslim-majority societies. Limitations include geographic concentration on Java and Sumatra and focus on social media-active groups. Recommendations for future research advocate broader, comparative investigations of nasab-based authority and its impact on religious pluralism and community cohesion

Co-Authors , Abdul Gafar Karim A. Syachruroji AA Sudharmawan, AA Abd Kadir, Abd Abd. Kadir Abdi Suprayitno Abdul Basir, Muchammad Abdul Gafar Karim Abdul Gafara Karim Abdul Haris Sunubi 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 Adi Sucipto, Adi 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 Aisyah Akbar, Rizky Akhyar Akolo, Ingka Rizkiyani Al Imran Alam Budiman Thamsi Aldi Suryadi Aldy Surya Darma 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 Ananda, Fariz 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 Anshari, Erwin Anto Apriyanto Anwar, Ardian Aprilino Alfa Kurmasela Apriwandi Apriyal, Derry Ardiansyah, Diky Ardillah, Ardiyah Arfah, Susilo Ariana Ari Sandhyavitri Arif Ahmad Marzuki, Mudzakkir Muhammad Arif Nurwaskito Arifin, Mubdiana Arifki Budia Warman 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 Edi Wanda Edi Winarno Edi Winarno, Edi Eka Damayanti Eka Ganda Winata , I Putu Eka Megawati Ekawati, Rizka Eko Nursalim Elda Nazriati Elfira Makmur Elimartati Elimartati Elma Rida Yanti Elvira Sukma Wahyuni 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 Feranita Firman Firmanto, Taufik 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 Haratua Tiur Maria Silitonga Harianto, Jakoep Ezra Harifuddin Haripuddin Harmiati Hartono Hartono Hasrawati Hati, Hikmah Hayat, Misbahul Heldy Febryanto Hengki Firmanda Heris Santy, Wesiana Herlinawati Hermawan Hermawan Hidaayah, Nur Hidayat , Syukriadi Hidayatullah, M. Musa S. Hilda Ashari Hilda Delavari HS, Muhammad Alwi Ida Fujari Ifada, M.Zakian Ilham Eka Putra Ilham, Fadli Imam Fakhruddin Imam Suri Tauladan Imran, Andi Imran Imron Ghozali Imrona Hayati Indriyanti Ipan Sampe Irfan Wahyu Ramadhan Iriana Bakti Irma Puspitasari, Irma Irmawan, Muhammad Ishyang, Ishyang Isjoni Isjoni Iskandar Abdul Samad Islami, Anggun Isniatun Munawaroh Iswani, Resti Jaffar, Mohammad Najib Jahrizal Jalil, Feranita Jamaludin, Muhamad Jan Friadi Sinaga Johannes Joko Wiyono Judyanto Sirait Jumadi Mabe Parenreng Jumria Junaidi Junaidi Kalalinggi, Septaria Yolan Karnila Willard Kartika Choriah Kasman Kasmidin Kazuba, Mahfudz Krisnawati, Dyah Ika Kunaenih Kurniawan, Anggy Tias La Ode Asrun Azis R Laili Tri Lestari Lanang Maulana Aminullah Leonardo Valinka Lifwarda Lifwarda Lilik Pranata Linna Oktaviana Sari Lucky Heriyanti Jufri, Lucky Heriyanti Lusiana, Herlina Lusiana, Herlina Luthfiyah Atisa Fadhilah Lu’lu’ Il Qolbie M A Jati Purnomo M Subagus M. Afuan M. Halim, M. M. Haris M. Nur Mukmin M., M. Ghalib M., Taufik M.Yoghi Satria Maharani, Dwi Sinta Maharani, Masayu Nadila Mahmud Hibatul Wafi Malik, Muhammad Hisyam Malini, Regina Septient Mardhiah Masril Mardhiah Masril Marfalino, Hari Marhadi Efendi Marpaung, Mario Johannes Marwan Kamaruddin Maulana, Tarmizi Mayangsari, Yayu Rahmawati Mayhilda Nitami Mery Susantri Mery Susantri Meydy Fauziridwan Mhd. Hanafi Michelle Rafael Waw Mila Wati Milaningrum, Kartika Mileni Wahidah Mili, Marwan Zam Mira Afrina Mirwan Mochamad Yogi Febriansyah Mochammad Imron Awalludin Mohammad Lutfi Mohammad Munib Rosadi Mokoginta, Dzakira Raihana Muarif Mufti Hasan Alfani Muh. Ikbal, Muh. Muh. Yunus Ali Muh. Yusuf Mappeasse Muhamad Ajrin Muhamad Anggun Novembra Muhammad Muhammad Arfan Wijaya, S Muhammad Arif Muhammad Fachrurrozi Muhammad Naufal Rachmatullah Muhammad Syahdan Fachrurrozy Muhammad Syukri Muhammad Taufiq Muhammad Vijaya Waluddin Mujahidah MUKAROMAH, LUTFAH Mulia Akbar Santoso Mulia Suryani Muliardi Muliaty Amin Mulyadin Mulyati, Ely Mumaddun Khaerudin Salami Muntako, Ahmad Murdifin Mursal Mursanto Musda Asmara Musdalifah Mustafa, Fahrina MUSYAFFA RIFQI HARIMARDIKA Mutakarikah Mutiara Rengganis Muzaka, Maimun Nabil Alfan Moh Nabila Adhelia Maulidha Nadia Nadiah Nahya Fadillah Naim Sulaiman Nasokah Nasriman Nasrul Nasrullah Nazmi, Annisa Nur Nelvidawati Nijusiho Manik Ningsih, Apriyana Nini Apriani Rumata Nisa Agustin Pratiwi Pelu Nisfe Jehan Apriani Niti Lestari Noer Farakhin Nofriadiman Nofrohu Retongga Noor Aziz, Noor Nori Sahrun, Nori Nunuk Hariani Soekamto Nununk Febryanti Nur Ainiyah Nur Ainiyah Nur Azizah Nur Hidayah Nur Mutmainnah Nurdiana A Nurfaisal Nurhalim Nurhawaisyah, Sitti Ratmi Nurhayani Nurhayati Nurliah Jafar, Nurliah Nurlindah Nurul Hasanah Nurul Hidayati Oman Sukmana Onu La Ola, Onu Ovriyadin Pamungkas Stiya Mulyani Panca Setyo Prihatin Pardede, Tumpal Parninsih, Iin Pasuloi, Muh Fachmy Patiung, Seventry Meliana PATIYUS AGUSTIANSYAH, PATIYUS Penny Naluria Utami, Penny Naluria Perani Rosyani Permana, Yudi Piliana, Wa Ode Pipin Novrianti Pratama Bagus Restu.S Pratama, Amia Pratama, Apriliyanus Rakhmadi Pratama, Novrian Pratiwi, Tasyah Prayitno, Rangga Purboyo, Purboyo Purwati, Heri Putra , Rio Andika Putra Dempo, Agung Anugra Putra Hanafi, Beni Putra, Yulizain Putri Dhiya Putri Faisal, Sri Afriani Putri Wijaya, Nurhikmah Putri, Dini Firdiana Putri, Rahmadaniar Aditya Rabwan Satriawan Radi Ahnaf Prayogi Ragil Putri Fitriyanti Rahim, Radiyan Rahmad Hendra Rahmadaniar Rahmadaniar Aditya Putri Rahmadi Bagus Wijaya Rahmat Hidayat Rahmat Oriza Rahmi , Riri Rahmi, Riri Rama, Rama Wijaya Ramadhan, Ilfan Prabu ramadoan, syahri Ramiati Ramya Rachmawati Rauzan Habas Addawy Rayna Kartika, Rayna Regina Adelisa Rego, Dipalpa Retna Gumilang Retno Diah Putri Ekayanti Reynaldy Julio Ricy Firnando Riki Sukiandra Rikki Vitria Rina Novi Yani Rina Shahriyani Shahrullah Rini Sovia Riska Fauziah Hayati Risna Ritna Wahyuni Riza Aprillia Rizkiani, Erdina Wira Robert Cenedy Rohim , Faidhur Rohima Sera Afifah Roslyn Rosma, Iswadi Hasyim Rosmawati RR. Ella Evrita Hestiandari rudiyanto Rudy Fernandez Ruri Hartika Zain Rus Yandi Ruslan Rusmiyatun Sa'idah, Nur Saadah, Chuzaimatus saadudin Sabir, Achmad Safitriani, Ayu Safrina, Eka Sagaf S. Pettalongi Sahri Ramadana Sakinah Salahudin Salahudin Samariadi, Samariadi Samintang Santi Sapitri, Ade Iriani Saputra Yadnya , Komang Saputra, Billy Yanis Saputra, Haris Tri Saputra, Ksatria Saputri, Bella Sari, Ririn Purnama Sarifah Putri Raflesia, Sarifah Putri Sarti Rahayu Sastradinata, Irawan Sattu Alang Septiana, Zulfa Septri Damayanti Setia Ningsih Setya Nugroho , Florantia Shabrina Syntha Dewi Siar Nimah Sidrah Afriani Rachman, Sidrah Afriani Sintia Putri Pangestu Sisdarmanto Adinandra, Sisdarmanto Siska Yosmar Siti Asyitah Siti Dewi Maharani Siti Justianti Muhajriyah Siti Nurmaini Sitti Jauhar Sitti Rahmi Sofyan Soleha, Umdatus Soraya Sri Konsep Harum Wicaksono Sri Wahyuni Sriyanto St. Haniah Stepanus Sahala Sitompul Stepanus Sahala Sitompuls Suci Dwi Lestari Sudarto Suharti Sujono Sukari Sukemi Sukma Wahyuni , Elvira Sulardi . Sulastri Caniago Sultana, Beenish Sulvahrul Amin Supriyadi, Andi Surmayanti Surya, Leny Sang SUTRISNO Suwadi Suwitno Suyanto Syaflin Halim Syamsul Rijal Syamsurijal Syamsurizal Syiddatul Buduri Syprianus Aristeus, Syprianus Taufikurahman Taufiqurrahman Teguh Sujana Teguh Wicaksono Tengku Mega Rahmadini Tikson, Shinta Dewi Sugiharti Tomo Djudin Topan Fadilla Malik Trian Pamungkas Alamsyah, Trian Pamungkas Try Hadyanto Tsaqilatussyifa, Sabrina TW, Fredy Rendra Uliana, Rafika Umar Uzhelia, Viorryn Aisha Uzma Septima Vina Salviana Darvina Soedarwo Vivi Elvira Sahputri Syah Wahab Wahda Wahyudi, Andi Ardhila Wahyuni, Wiani Wakila, Muhammad Hardin Wawan Darmawan Widiningsih , Dewi Widya Puspita Sari Winarto Winarto Windy Permata Suyono Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Wiraagni, Idha Arfianti Wisnu, Fredy Rendra Taursia Wulandari, Anggelina Wusiat Yantahin, Muliaty Yudhistira Pradhipta Aryoko Yudiaryono Yudistira, Jastin Yulia, Della Pevita Yulis Hamidy Yunisrina Q. Yusuf Yuri Pratiwi Utami Zahroh, Chilyatiz Zainal Azwar Zakiah Zein, Ruri Hartika Zerri Rahman Hakim Zulfikar Jayakusuma Zulhajji Zulharman Zurnawita Zuwanda, Rifka

Title

Found 236 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 236 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 236 Documents
Search