Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

24.421

P-Index

This Author published in this journals

Raissa Amanda Putri

Universitas Islam Negeri Sumatera Utara

Author-ID : 2532773

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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

Published : 215 Documents Claim Missing Document

Claim Missing Document

Articles

18 19 20 21 22

Implementasi Security System Menggunakan Kriptografi Algoritma Simetris Untuk Pengamanan Video Fiqri Fakhrizal; Afifah Balqis Pasaribu; Sahnas Wulandari; Raissa Amanda Putri
Bigint Computing Journal Vol 1 No 1 (2023)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v1i1.576

Untuk menjaga keaslian informasi pada sebuah video diperlukan pengamanan yang baik. Dengan menggunakan aplikasi kriptografi dapat menjaga dan melindungi keamanan. Aplikasi kriptografi mampu membuat tampilan video menjadi tidak jelas. Deskripsi dan enkripsi menggunakan kunci simetris. Untuk menjaga keaslian video kunci simetris, harus dirahasiakan agar keamanan tidak dilanggar oleh pihak yang tidak bertanggung jawab. Sebuah video memiliki tingkat keamanan yang telah disesuaikan dengan enkripsi, semakin banyak kombinasi tombol yang digunakan maka akan semakin rumit untuk memecahkan passwordnya. Metode hill cipher merupakan metode yang menggunakan model matematis yang dapat membuat video menjadi acak sehingga informasi yang didapat tidak jelas. Menggunakan model matriks untuk menghitung piksel bingkai modulo 256. Aplikasi kriptografi video ini dapat digunakan untuk mencegah penyalahgunaan informasi.

Sentiment Analysis on the Allocation of the MBG Program Budget Using Support Vector Machine Aulia Kartika Dewi; Raissa Amanda Putri
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.v7i4.9502

Sentiment analysis is one of the applications of artificial intelligence and machine learning used to automatically identify and classify public opinions, particularly those expressed on social media. This approach is important for understanding public perceptions of a policy, as it provides a systematic, fast, and data-driven overview. With the increasing use of social media, sentiment analysis can be utilized as an evaluation tool to support transparency and more objective decision-making. One issue that has attracted public attention is the MBG (Free Nutritious Food) Program, a government initiative aimed at improving community nutrition. The budget allocation for this program has generated various responses from the public, including both support and criticism regarding its implementation and policy priorities. Therefore, an analysis that can comprehensively capture these diverse perspectives is necessary. This study aims to analyze public sentiment toward the MBG Program budget using data from the social media platform X (Twitter), which is known for its ability to represent real-time and dynamic public opinion. The dataset collected through crawling consists of 2,487 entries, and after preprocessing, 1,686 valid data points were obtained for analysis. Feature extraction was performed using the TF-IDF method, while sentiment classification was conducted using the Support Vector Machine (SVM) algorithm. Model evaluation was carried out using 5-Fold Cross Validation and Confusion Matrix. The results show that the developed model achieved an accuracy of 81.17%, indicating good performance in sentiment classification. For the negative class, the precision reached 85.48% and recall 98.76%. For the neutral class, the precision was 57.58%, recall 44.19%, and F1-score 49.98%. For the positive class, the precision was 75.00%, recall 15.79%, and F1-score 26.09%. These findings indicate that a machine learning-based approach can contribute to understanding public opinion and support more effective, data-driven government policy evaluation. This study contributes by demonstrating the effectiveness of the SVM algorithm in classifying public sentiment on policy-related issues, as well as by applying k-fold cross-validation and confusion matrix to provide a more comprehensive and reliable evaluation. The findings are expected to support data-driven policy evaluation and enhance understanding of public opinion toward government programs.

Menumbuhkan Moderasi Beragama melalui Keterlibatan Mahasiswa di Desa Pasar X Kutalimbaru Zahrowaini, Taqiya; Zahra, Siti; Nst, Achmad Ramadhan; Pratama, Dino Farid; Putri, Raissa Amanda
Jurnal IPTEK Bagi Masyarakat Vol 5 No 2 (2025)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i2.1363

Penelitian ini mengkaji peran mahasiswa yang mengikuti program Kuliah Kerja Lapangan (KKL) di Universitas Islam Negeri (UIN) Sumatera Utara dalam menerapkan moderasi agama di Desa Pasar X, Kecamatan Kutalimbaru, Kabupaten Deli Serdang. Latar belakang penelitian ini didasarkan pada kebutuhan untuk mempromosikan harmoni dalam masyarakat pluralistik yang ditandai oleh keragaman agama. Menggunakan pendekatan kualitatif deskriptif, data dikumpulkan melalui observasi partisipatif, wawancara mendalam, dan dokumentasi untuk memahami proses dan dinamika sosial selama program berlangsung. Hasil penelitian menunjukkan bahwa mahasiswa secara aktif terlibat dalam berbagai kegiatan yang bertujuan memperkuat komitmen nasional, menumbuhkan toleransi, mendorong sikap anti-kekerasan, dan menerima kebijaksanaan lokal, yang merupakan indikator utama moderasi agama. Kegiatan tersebut meliputi pengajaran, bimbingan, senam komunitas, festival budaya, dan kampanye sosial. Kesimpulan dari studi ini adalah bahwa keterlibatan mahasiswa melalui program ini berkontribusi secara signifikan dalam memperkuat moderasi agama dan kohesi sosial di komunitas multireligius, serta menunjukkan potensi pemberdayaan komunitas partisipatif sebagai strategi untuk menciptakan harmoni sosial yang berkelanjutan.

Clustering YouTube Comments on Mental Health in Indonesia Using the K-Means Algorithm Nugroho, Agung; Putri, Raissa Amanda
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9552

This study aims to analyze mental health expressions in Indonesian-language YouTube comments using a text mining approach and the K-Means clustering algorithm. The increasing use of social media as a platform for expressing psychological conditions has resulted in large volumes of unstructured textual data that are difficult to analyze manually. Therefore, this study applies text preprocessing techniques, including case folding, tokenization, stopword removal, and stemming, followed by Term Frequency–Inverse Document Frequency (TF-IDF) weighting to transform textual data into numerical representations. The clustering process is performed using the K-Means algorithm, and the optimal number of clusters is determined using the Elbow Method and Silhouette Coefficient. The results show that the optimal number of clusters is k = 3, with the highest Silhouette Coefficient value indicating good cluster quality. A total of 2,411 YouTube comments were successfully grouped into three clusters, representing different types of mental health expressions, namely complaint expressions, personal experience narratives, and general responses. This study contributes by providing a social media comment clustering model to analyze mental health expressions in the Indonesian digital context. The results demonstrate that the K-Means algorithm can effectively identify meaningful patterns in large-scale textual data without requiring labeled datasets, making it useful for supporting data-driven mental health analysis.

Analysis of Air Pollution Standard Index Using Support Vector Machine Algorithm Lubis, Fitra Hidayat; Fakhriza, Fakhriza; Putri, Raissa Amanda
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.v7i4.9506

Air pollution is one of the major environmental problems in urban areas, including Medan City, Indonesia. The Air Pollution Standard Index (Indeks Standar Pencemar Udara / ISPU) data provided by the Environmental Agency is often difficult for the public to interpret due to its numerical format. This study aims to analyze and classify air quality using the Support Vector Machine (SVM) algorithm and present the results through data visualization. The dataset used in this research is secondary data obtained from the Environmental Agency of Medan City, including pollutant parameters such as PM10, PM2.5, SO₂, NO₂, CO, O₃, and HC. The research method follows a quantitative descriptive approach, including data preprocessing, ISPU calculation based on government regulations, classification using SVM, and visualization using graphical methods such as line charts, bar charts, and heatmaps. The results indicate that SVM is effective in classifying air quality categories into Good, Moderate, Unhealthy, Very Unhealthy, and Hazardous. Additionally, visualization techniques improve the interpretability of air quality data, making it easier for stakeholders and the public to understand environmental conditions. This study contributes to decision support systems for environmental monitoring and public awareness.

Implementasi Crm pada E-Commerce sebagai Media Penjualan pada Usaha Mikro Kecil dan Menengah (UMKM) Penghasil Kopi Mubaraq, Aras Maulana; Putri, Raissa Amanda; Harahap, Aninda Muliani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.5359

Perkembangan teknologi informasi mendorong pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) untuk memanfaatkan e-commerce sebagai media penjualan yang lebih efektif, efisien, dan terintegrasi. Salah satu strategi yang dapat diterapkan untuk meningkatkan kualitas layanan serta loyalitas pelanggan dalam e-commerce adalah Customer Relationship Management (CRM). Penelitian ini bertujuan untuk mengimplementasikan CRM pada sistem e-commerce sebagai media penjualan pada UMKM penghasil kopi dengan studi kasus Linge Coffee Home Roasting di Kota Banda Aceh. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model Borg and Gall, sedangkan metode pengembangan sistem menggunakan Waterfall yang terdiri dari tahapan analisis, desain, implementasi, pengujian, serta pengoperasian. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan studi pustaka. Sistem e-commerce yang dikembangkan dilengkapi dengan fitur-fitur CRM, antara lain manajemen akun pelanggan, penilaian produk, serta pemberian diskon sebagai strategi peningkatan loyalitas pelanggan. Implementasi sistem ini memungkinkan pelanggan melakukan pemesanan secara daring tanpa harus datang langsung ke lokasi, sekaligus membantu pemilik usaha dalam mengelola data transaksi secara lebih terstruktur dan terdokumentasi. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu mempermudah proses transaksi penjualan, meningkatkan efektivitas pengelolaan data penjualan, serta memperkuat hubungan antara pelaku UMKM dan pelanggan. Pengujian sistem menggunakan metode blackbox menunjukkan bahwa seluruh fitur sistem berjalan sesuai dengan kebutuhan pengguna baik dari sisi admin maupun pelanggan. Dengan demikian, implementasi CRM pada e-commerce dapat menjadi solusi yang tepat dalam mendukung peningkatan kualitas pelayanan, perluasan jangkauan pemasaran, serta pengembangan usaha UMKM penghasil kopi secara berkelanjutan.

Aplikasi Mobile Media Pembelajaran Rukun Shalat Fardu Menurut 4 Imam Mazhab Nasution, M. Irwan Padli; Putri, Raissa Amanda; Nasution, Rizki Ansyari
YASIN Vol 2 No 1 (2022): FEBRUARI
Publisher : Lembaga Yasin AlSys

Prayer is a means of communication between a servant and the creator. Prayer has pillars that must be fulfilled as a measure of whether the prayer is valid or not. The pillars of prayer are prayer movements that must be done and should not be abandoned. The pillars of prayer are also taught in the science of schools. Madhhab is an understanding or school of thought that comes from the ijtihad of a mujtahid about law in Islam which is excavated from the verses of the Qur'an and Hadith. Low knowledge of it will create a new theory that results in many errors and is not in accordance with the Qur'an and Hadith. This study aims to create a mobile application for learning the pillars of prayer fardhu according to 4 priests of the school to increase students' knowledge about the pillars of prayer based on the theory of 4 priests of the school and not cause differences of opinion in the community. The learning media uses the MDLC (Multimedia Development Life Cycle) development model with 6 stages. This application was tested in black-box testing, the results of all aspects of this study were good.

SISTEM INFORMASI PENYEWAAN ALAT CAMPING MENGGUNAKAN ALGORITMA COLLABORATIVE FILTERING PADA TEMAN PIKNIK Santoso, Heri; Nasution, Imam Fadli; Putri, Raissa Amanda
Journal of Information System, Applied, Management, Accounting and Research Vol 10 No 2 (2026): JISAMAR (May 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v10i2.2353

Camping equipment rental management at Teman Piknik is currently still done manually, causing various obstacles in operational activities. Frequently occurring problems include inefficient data recording processes, difficulties in managing rental transactions, and the lack of a system capable of providing camping equipment recommendations to customers. These conditions can impact the quality of service decline and make it difficult for customers to choose camping equipment that suits their needs and preferences. Furthermore, manual data management also has the potential to cause recording errors, data loss, and delays in the information processing process. This study aims to design and build a web-based camping equipment rental information system that can support the data management process and rental transactions more effectively and structured. The developed system applies the Collaborative Filtering algorithm to generate camping equipment recommendations to customers based on similar user preferences. The system development process was carried out using the Waterfall model method with implementation using the PHP programming language and MySQL database. This system provides various features, such as customer data management, camping equipment data management, rental transactions, rental history, and transaction reports for the admin. The research results show that the system developed can improve efficiency in rental management, speed up the transaction process, and help customers choose camping equipment that best suits their needs and preferences. With this system, the camping equipment rental process at Teman Piknik is expected to be more effective, organized, and provide better service to customers.

DAMPAK UMKM ASAM GLUGUR TERHADAP KESEJAHTERAAN RUMAH TANGGA PELAKU USAHA DI DUSUN V KINANGKUNG, DESA PASAR X, KECAMATAN KUTALIMBARU, DELI SERDANG, SUMATERA UTARA Najwa Nabila; Dini Anggraini; Aldyansah Arrahman Rianto; Sigit Bahuraksa; Raissa Amanda Putri
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 6 (2025): Vol. 6 No. 6 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i6.55234

Penelitian ini bertujuan untuk menelaah peran UMKM asam glugur dalam mempengaruhi kesejahteraan ekonomi rumah tangga pelaku usaha di Dusun V Kinangkung, Desa Pasar X, Kecamatan Kutalimbaru, Deli Serdang, Sumatera Utara. UMKM yang bertumpu pada pemanfaatan komoditas lokal dinilai memiliki peran penting dalam memperkuat ketahanan ekonomi rumah tangga masyarakat pedesaaan melalui optimalisasi sumber daya yang tersedia d wilayah tersebut. Penelitian ini menerapkan pendekatan kualitatif dengan metode studi kasus untuk menggali secara mendalam pengalaman subjektif pelaku UMKM. Data dikumpulkan melalui wawancara mendalam, observasi lapangan, dan dokumentasi, kemudian dianalisis menggunakan model Miles dan Huberman yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa UMKM asam glugur memberikan kontribusi positif terhadap peningkatan pendapatan rumah tangga dan berperan sebagai sumber penghidupan utama yang relatif berkelanjutan. Selain dampak ekonomi, keberadaan usaha ini juga memperkuat ketahanan ekonomi keluarga dalam menghadapi ketidakpastian ekonomi. Namun demikian, pelaku usaha masih menghadapi sejumlah kendala, seperti ketergantungan pada kondisi cuaca, keterbatasan lahan produksi, dan belum optimalnya pemanfaatan pemasaran digital. Temuan penelitian ini menegaskan bahwa UMKM berbasis komoditas lokal tidak hanya berfungsi sebagai aktivitas ekonomi, tetapi juga sebagai strategi bertahan hidup rumah tangga pedesaan yang memerlukan dukungan kebijakan dan pendampingan berkelanjutan.

SISTEM PENCATATAN JADWAL HARIAN KATADAYA BERBASIS WEB DENGAN ALGORITMA PRIORITY SCHEDULING Farhan Rizky Wahyudi; Raissa Amanda Putri; Imam Adlin Sinaga
INFOTECH journal Vol. 12 No. 1 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v12i1.17897

Penjadwalan kegiatan di Katadaya selama ini dilakukan secara manual menggunakan Google Calendar dan Excel, yang menyebabkan kendala seperti bentrok agenda dan keterlambatan eksekusi. Penelitian ini bertujuan merancang sistem pengelolaan jadwal harian berbasis web dengan menerapkan algoritma Priority Scheduling Preemptive. Algoritma ini dipilih karena mampu mengatur eksekusi berdasarkan tingkat urgensi, sehingga agenda prioritas tinggi dapat dijalankan segera meskipun ada kegiatan lain yang sedang berlangsung. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan waterfall, meliputi tahap analisis, perancangan, implementasi, dan pengujian. Sistem dibangun menggunakan framework Laravel dan basis data MySQL. Hasil pengujian melalui black-box testing menunjukkan bahwa seluruh fungsi utama sistem, termasuk penjadwalan otomatis dan pengelolaan prioritas, berjalan sesuai harapan. Implementasi sistem ini membantu Katadaya mengelola agenda harian secara lebih efisien, meminimalkan bentrok jadwal, serta meningkatkan adaptabilitas terhadap perubahan agenda mendadak. Dengan sistem berbasis web ini, koordinasi tim menjadi lebih terorganisir dan transparan dibandingkan metode manual sebelumnya.

Co-Authors Abdillah, Muhammad Oemar Abdul Aziz Khusen Abdul Halim Hasugian ABdul Karim Batubara, ABdul Karim Abu Dardaq Putra Adlani, Farid Adnan Buyung Nasution Afifah Balqis Pasaribu Agil Indriyani Agung Setiawan Hasibuan Agung Wijaya, Agung Agusni Firi Hasian Dalimunthe Aini Sachira, Rheana aji wardana Alasi, Galih Aldy Alfiansyah Aldyansah Arrahman Rianto Ali Ikhwan Ali Ikhwan Ali Ikhwan Alsyah Harahap, Dymas Fatthur Rohim Alwi Perdana Aritonang Amanda, Retno Tri Ananda, Bella Andini Nur Bahri Andini, Novita Rizky Andriani, Mega Andriyani Dwi Astuti Anggi Dessisiliya Anggreini Anggun Monica Dewi Aninda Muliani Anisa Yasmin Annisa Shafira Zuhri Apipah, Nur Aprilsyah, Muhammad Arbi, Haris Andika Armansyah Armansyah Aryo Pratama Asti, Dini Audy Andini Lubis Aulia Kartika Dewi Aulia, Dea Liza Aulia, Diva Azhari, M. Faishal Azzahro Simatupang , Siti Fatimah Bagus Setiawan Baridah, Lailam Batara Wardana Yuswar Batubara, Abdul Karim Batubara, Muhammad Zulpan Bela Damanik Bella Ananda Budi Askhori Sirait Budiarti, Dinda Dalimunthe, Rizna Fitriana Dalimunthe, Roma Gabe Damayanti, Alvina Daulay, Ikhsan Agus Martua Daulay, Wan Akbar Arramadhan Decfina, Fauziah Delvira Salsabila Diah Indah Sari Dicky Pratama Dinary Dwihatami Dini Anggraini Disa Pratama Diva Aulia Donas Putra Dwi Himala Kasih Dwi Nenda Putri Dwi Silviana Elang, Nusa Erano, Bhirawa Atha Bassni Erlina, Fazira Fadhlan Hussaini Srg Fadilah, Ayu Fadilah, Ulfa Fadillah, Muhammad Taufik Fahimah, Nurul Fakhri Alauddin Tarihoran Fakhriza, Fakhriza Fakhriza, M. Fara Difa Aulya Farahdiba, Dhika Farhan Rizky Wahyudi Fathiya Hasyifah S FATHIYA HASYIFAH SIBARANI Fathiyah Hasyifah Sibarani Fauziah Lubis Fazril, Fazril Febiyaula, Siti Septia Feby Hasanah Ritonga Fiddarain, Syaidah Fikri Hakiki Siregar Fiqri Fakhrizal Fitrah Al Mubaroq Fitria Tilawatil Aulia Simarmata Garnish Ayu Andini Wijaya Gina Sonia Hadi, Firman Harahap, Ahdi Alfein Harahap, Faisal Harahap, Nurhaliza Hary Isdianto Hasibuan, Muhammad Imbalo Zaki Hasibuan, Novrisyah Hasibuan, Nurhabibah Febrianty Hasyifah Sibarani, Fathiya Heri Santoso Heri Santoso Heri Santoso Hidayat, Julkarnain Hidayati, Lily Hutasuhut, Fazira Syafitri Ibnu Faisal Ikhlasul Amal Ilka Zufria Imam Adlin Sinaga Imam Adlin Sinaga Imam Zarkasih Harahap Irsandi, Mahmul Izma Khoiruna Jihan Fadhilah Taher Khairi, Ananda Salsabila Khotnai Shinta Khotnai Shinta Koto, Muhammad Hendrik Laily, Dwi Yanti Laylan Syafina Lestari, Rika Dinda Liza Khairani Lubis, Fitra Hidayat M irsyan antony manday, Irsyanmanday M Taufiq Rachman Siregar M. Fakhriza malika, Sela Maulana, Mhd.Rizki Maulina Tria Audina Gultom Maurico Liang Maya Khairani Mega Andriani Mega Andriani Mhd Furqan Miftah Siregar Mikraj, Ziyad Habibul Mohammad Badri Mohammad Badri Mu'arif, Risdani Mubaraq, Aras Maulana Much Nur Syams Simaja Muhamad Alda Muhamad Rizky Abdilah Muhammad Abdul Arip Muhammad Aprilsyah Muhammad Dedi Irawan Muhammad Ikhsan Muhammad Irvan Muhammad Naufal Al Hazmi Muhammad Ray Pratama Sembiring Muhammad Rivaldi Muhammad Setiawan Muliani Harahap, Aninda Muliani, Aninda Mulya Alfan Simatupang Nabila Bidawi, Hilwa Faza Nabila, Andini Nabilah Aliya Tasya Nadiyah Khairiyah Nafis, Ayu Najwa Nabila Nasution, Adnan Buyung Nasution, Imam Fadli Nasution, Maimanah Salsabila Nasution, Muhammad Irwan Padli Nasution, Rizki Ansyari Nataryda Lubis, Muara Novrisyah Hasibuan Nst, Achmad Ramadhan Nugroho, Agung Nurhabibah Febrianty Hasibuan Nurhasanah, Dhea Aulia Nurhayati Nurhayati Nurul Ifkah Lolona Silalahi Nurul Mawaddah Padang Nurul Zuriandini Paranindra Ardhana Biroe Aurori Pasaribu, Haryati Pertiwi, Elsa Pratama, Dino Farid Prayuda, Wahyu Putra Purwaningtyas, Franindya Puspa, Yulia Putra, Dafa Fahreza Putrawan, Putrawan Putri Agustina Putri Lubis, Dina Amalia Rafli Khalis Nugraha Rahma Yuni Rahma, Anisa Sri Rahma, Baqiyatur Rahma, Najahaura Rambe, Risti Reni Lestari Reni Yunita Riko Aldinata Rinaldy, Fahdly Ritonga, Siti Marlina RR. Ella Evrita Hestiandari Sabri, Muhammad Sahbandi Sahbandi Sahnas Wulandari Sahnas Wulandari Siregar Sait, M Ibnu Salsabila, Salsabila Salsalina Br Sembiring Samsudin Samsudin, Samsudin Santoso, Adinda Afriliya Saprida Saprida Saprida, Saprida Saputri, Indah Sardiyana Br Karo Sari, Dinda Mayang Shinta Permata Sari Siagian, Andika Fadillah Sigit Bahuraksa Silvia Kartika Sinaga, Adhe Syari Alfatah Sinaga, Imam Adlin Sinta Dewi Siregar, Ela Khairani Siregar, Elvan Dito Siregar, Fairuz Azzaria Siregar, Putri Aprilia Siswahyudianto Siti Kania Thisara Siti Zahra Situmeang, Risky Akbar Sri Yuslina Siregar Sriani Sriani Sriani Sriani Suendri Suendri, Suendri Suendri, Suendri Syah Zanul Husna Syahputra, Adam Tania Yulindra Teuku Alif Baihaqy Thamrin, Alwi Aryusya Triase Triase Triase Triase Triase Triase Triase Triase Triase Triase, Triase Tua, Anri Hafiz Ulfayani Mayasari Ummi Afzah Amirah Wahyu Herlambang Wanda Sari Wanda Wardana, Aji Wardhani, Ade Ratu Wibowo, Muhammad Rizky Widodo, Mhd. Aria Agung Willy Andri Malau Windi Maharani Winny Wiyandari Wiradito, Ade Yahfizham Yahfizham Yardha, La Saufa Yudha, Fajrul Aulia Yudi Lizardi Mahna Siregar Yulianda Tasya Yusniah Yusniah Yusra, Salsabila Yustria Handika Siregar Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zahidah, RA. Ghina Zahrowaini, Taqiya

Title

Found 215 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 215 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 215 Documents
Search