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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Matematika Jurnal Periodic Jurusan Kimia UNP Sainstek Teknika Jurnal Riset Kimia Annual Research Seminar Pro-Life Proceeding of the Electrical Engineering Computer Science and Informatics AKSIOMA Science and Technology Indonesia Sistemasi: Jurnal Sistem Informasi Jurnal Penelitian Sains Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Infomedia KACANEGARA Jurnal Pengabdian pada Masyarakat JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JURNAL PENDIDIKAN TAMBUSAI KOMPUTIKA - Jurnal Sistem Komputer Masyarakat Madani: Jurnal Kajian Islam dan Pengembangan Masyarakat Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Teknik Elektro dan Komputasi (ELKOM) International Journal of Applied Sciences and Smart Technologies Jurnal Pedagogi dan Pembelajaran BERNAS: Jurnal Pengabdian Kepada Masyarakat English Teaching and Linguistics Journal (ETLiJ) Jurnal At-Taghyir : Jurnal Dakwah dan Pengembangan Masyarakat Desa TADBIR: Jurnal Manajemen Dakwah FDIK IAIN Padangsidimpuan Indonesian Journal of Education, Social Sciences and Research (IJESSR) Jurnal AbdiMas Nusa Mandiri Bioscientist : Jurnal Ilmiah Biologi Journal of English Language and Education Jurnal USAHA Jurnal Kajian Pariwisata Jurnal Sains Manajemen Jurnal Ilmu Komputer dan Informatika Jurnal Mandiri IT Interaksi Peradaban: Jurnal Komunikasi dan Penyiaran Islam International Journal of Management Science and Information Technology (IJMSIT) BAKTI : Jurnal Pengabdian Kepada Masyarakat Asia Pacific Journal of Management and Education Journal of International Conference Proceedings Islam Transformatif : Journal of Islamic Studies Pattimura International Journal of Mathematics (PIJMath) Bulletin of Applied Mathematics and Mathematics Education Curtina Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Kimia dan Rekayasa Innovative: Journal Of Social Science Research Journal Medical Informatics Technology HIKMAH: Jurnal Ilmu Dakwah dan Komunikasi Islam Toplama Jurnal Pendidikan IPA Indonesia Jurnal Pengabdiaan Masyarakat Larisma Tapis : Jurnal Penelitian Ilmiah
Ali Amran
Sriwijaya University
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science 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 Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Strategi Tiktok Live Streaming dan Celebrity Endorser dalam Meningkatkan Keputusan Pembelian Produk Erigo Amran, Ali; Rahmadi, Egi; Dewi, Sri W K
Jurnal USAHA Vol 5, No 2 (2024): Desember
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/juuk.v5i2.2913

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh live streaming dan celebrity endorser dalam keputusan pembelian produk Erigo pada aplikasi tiktok. Data dikumpulkan dengan melakukan survei menggunakan kuesioner kepada 100 pengguna tiktok yang berdomisili di Kota Bandung dan ditentukan dengan teknik purposive sampling. Alat analisis data menggunakan SPSS. Hasil penelitian menunjukkan live streaming secara parsial tidak berpengaruh terhadap keputusan pembelian, celebrity endorser secara parsial berpengaruh terhadap keputusan pembelian, dan terdapat pengaruh positif secara simultan antara live streaming dan celebrity endorser terhadap keputusan pembelian. Manfaat penelitian ini yaitu untuk mengetahui dan menganalisis cara tepat untuk menerapkan strategi pemasaran yang dilakukan perusahaan melalui live streaming dan celebrity endorser pada media sosial.
Going Green: Unleashing the Potential of Green Product Knowledge and Influencer Marketing in Eco-Friendly Sanitary Product Selection Agustina, Silpia; Amran, Ali; Dewi, Srie Wijaya Kesuma; Komalasari, Yunika; Putriyandari, Rofily; Drajat, Devi Yuniati
Journal of International Conference Proceedings Vol 6, No 6 (2023): 2023 WIMAYA Yogyakarta Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i6.2836

Abstract

This study examines the influence of green product knowledge and influencer marketing on purchase intention for eco-friendly sanitary products under the brand Nadnad. The data utilized in this research is primary data gathered by a survey method by giving questionnaires to 100 respondents residing in the city of Bandung, with respondent ages ranging from 15 to 35 years. Respondent selection was conducted by utilizing a non-probability sampling approach with purpose sampling techniques. The type of research is a descriptive and verificative survey employing multiple regression analysis. The findings of this study, green product knowledge has a partially significant and positive impact on purchase intention, and influencer marketing has a partially significant and positive impact on purchase intention as well. Furthermore, green product knowledge and influencer marketing, have simultaneously significant and positive impacts on purchase intention. This research provides a deeper understanding of the importance of green product knowledge in increasing consumer purchase intention towards eco-friendly sanitary products and can encourage companies to consider influencer marketing strategies as an effective method for promoting eco-friendly products.
Klasifikasi Penyakit Kanker Paru-Paru Menggunakan Algoritma Naïve Bayes dan Iterative Dichotomizer 3 (ID3) Pratiwi, Putri; Dwifa, Dima; Desiani, Anita; Amran, Ali; Suprihatin, Bambang
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 18 No. 1 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v18n1.2519

Abstract

Kanker paru-paru merupakan penyakit yang disebabkan oleh keganasan tumor dari bronkus. Pada tahun 2020 terdapat kasus kematian mencapai 30.843 jiwa. Agar menghambat angka kematian akibat kanker paru-paru, diperlukan alat untuk deteksi dini akibat kanker paru-paru. Pada penelitian ini menggunakan dataset kanker paru-paru yang memiliki 309 data. Teknik uji yang digunakan pada dataset kanker paru-paru ini adalah percentage split dan k-fold cross validation dengan algoritma naive bayes dan iterative dichotomizer 3 (ID3). Parameter penilaian yang digunakan untuk menentukan algoritma terbaik adalah akurasi, presisi dan recall. Hasil penelitian yang menggunakan teknik uji percentage split, diperoleh nilai akurasi, presisi dan recall tertinggi pada algoritma naive bayes yaitu akurasi sebesar 87%, presisi sebesar 91% dan recall sebesar 94% untuk kelas YES (positif lung cancer). Penelitian yang dilakukan dengan teknik uji menggunakan k-fold cross validation memberikan nilai terbaik pada algoritma ID3 dengan nilai akurasi 92%, presisi sebesar 94% dan recall sebesar 97% untuk kelas YES (positif lung cancer). Dengan demikian, penelitian yang dilakukan dengan metode k-fold cross validation memiliki nilai yang lebih tinggi dibandingkan nilai menggunakan teknik uji percentage split. Hal tersebut memberikan kesimpulan bahwa pada penelitian ini, diperoleh algoritma terbaik yaitu ID3 dengan teknik uji k-fold cross validation pada dataset kanker paru-paru.
VERBOSITIES PRODUCED BY NEW SPEAKERS OF ENGLISH IN TIK TOK THROUGH UNCLE CLINTON’S SPACE CHANNEL Amran, Ali
Indonesian Journal of Education, Social Sciences and Research (IJESSR) Vol 5, No 2 (2024)
Publisher : Indonesian Journal of Education, Social Sciences and Research (IJESSR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijessr.v5i2.19899

Abstract

This qualitative research tries to investigate and list the number of verbosities (using or containing too many words, full of words) which is regarded redundant in terms of structure, semantic point of views, that produced by the followers in social media called Tik-tok.  Tik-Tok now is one of the massive communication activities that followed by thousands even hundred million followers worldwide at the same time. Uncle Clinton’s Space Channel is one of the channels which followers may freely join, ask and answer questions in this channel. They are also free to propose and response the questions and share some information about their hobbies, talents, their working experiences, new knowledge and so on. Also, in this unique channel, the researcher prepares and offers various interesting topics to the followers to discuss. The targets of this channel for the followers are to listen, to understand then to response each topic proposed. Through listening, understanding and responding those topics the followers produce many verbosities, words, like; little-little, more cheaper, more bigger, expensive price, cheap price, sharing-sharing, more better, expensive price, more easy, more good, I am agree, I am disagree, I am understand and so on, which are grammatically non-standard English. In this case the researcher wants to clarify why a number of verbosities appear and why they produce them when they are speaking
Persepsi Mahasiswa Terhadap Penggunaan Emoticon Pesan WhatsApp Pada Program Studi Komunikasi dan Penyiaran Islam Ningsih, Lesnida; Amran, Ali; Dianto, Icol
INTERAKSI PERADABAN: Jurnal Komunikasi dan Penyiaran Islam Vol 4, No 1 (2024): Interaksi Peradaban Januari-Juli 2024
Publisher : Fakultas Dakwah dan Ilmu Komunikasi, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/interaksi.v4i1.41227

Abstract

Whatsapp memberikan fitur emoticon mewakili emosi saat bertukar pesan sehingga tercipta komunikasi yang menyenangkan. Namun, pengguna whatsapp sering menggunakan emoticon yang salah untuk menanggapi situasi tertentu. Penelitian ini bertujuan untuk menganalisis kesalahan makna dalam penggunaan emoticon aplikasi whatsapp pada mahasiswa, apa faktor penyebab kesalahan makna dan bagaimana efek yang ditimbulkan atas kesalahan makna tersebut. Penelitian ini menggunakan metode desktiptif kualitatif dengan sumber data primer yaitu percakapan whatsapp grup mahasiswa Komunikasi dan Penyiaran Islam Fakultas Dakwah dan Ilmu Komunikasi UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan NIM 2020 hingga 2021. Metode pengumpulan data meliputi observasi digital dan wawancara tidak terstruktur dengan mahasiswa. Data yang terkumpul telah diuji keabsahan data secara triangulasi sumber. Hasil penelitian menemukan bahwa: Pertama, faktor yang mempengaruhi terjadinya kesalahan makna dalam penggunaan emoticon pada aplikasi Whatsapp disebabkan oleh ketidakmengertian (misunderstanding) makna sesungguhnya dari emoticon. Penyebab lain kesalahan makna terjadi karena pengguna whatsapp memiliki anggapan bahwa emoticon mewakili (representatif) perasaan dan trend remaja masa kini sehingga para pengguna emoticon mengabaikan makna yang sebenarnya. Temuan kedua dari penelitian ini bahwa efek dari kesalahan penggunaan emoticon dapat menyebabkan komunikasi yang tidak efektif dan komunikan anggota grup lainnya malas untuk membalas pesan.
The effect of Islam and science integration implementing on science learning in Indonesia: a meta-analysis Ardi, Ardi; Lufri, Lufri; Amran, Ali; Kosasih, Ahmad; Hervi, Fauziah
International Journal of Evaluation and Research in Education (IJERE) Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v13i4.27632

Abstract

National education aims to produce dedicated, religious, moral individuals and cognitive intelligence. Applying students’ Islamic values through integrating Islam and science in science learning is one of the strategies that can be used to achieve these goals. Integrating Islam and science in science learning can direct the formation of knowledge about science concepts and improve students’ attitudes and spiritual skills. This study aims to analyze the effect of integrating Islam and science in science learning. This study explores the effect of integrating Islam and science in science learning with meta-analysis research by calculating effect size (ES). Research data were obtained from 38 studies from national and international journals. The results showed that integrating Islam and science in science learning has a significant impact, as seen from the ES of 0.658. It is explained that science learning integrating Islam and science can be an alternative learning method. Integrating Islam and science into science learning is an alternative educational method to achieve national education goals that can increase students’ intellectual and spiritual values. The results of this study can be utilized as a reference in the learning process and the development of teaching materials in science learning in the future.
PERBANDINGAN ALGORITMA LOGISTIC REGRESSION DAN ADAPTIVE BOOSTING (ADABOOST) DALAM KLASIFIKASI PENYAKIT GAGAL JANTUNG Anita Desiani; Amran, Ali; Andriani, Yuli; Wahyuni, Tri; Rizki, Fatur
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 19 No. 1 (2025): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

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

Abstract

The heart is a vital organ in the human body, responsible for pumping blood throughout the body via the circulatory system. The heart is responsible for the delivery of oxygen and nutrients to tissues, as well as the removal of carbon dioxide and other waste products. Any disruption to the heart's functioning has the potential to be fatal to human survival. One such disruption is heart failure disease, also known as congestive heart failure (CHF). It is of the utmost importance to detect heart failure at an early stage. The early detection of heart failure disease can be achieved through the utilisation of machine learning, which can mitigate the low probability of this disease. This research employs a machine learning system based on artificial intelligence, utilising logistic regression and adaptive boosting (adaboost) algorithms. The research findings indicate that the classification of heart failure can be accurately determined using a range of parameters. The highest accuracy results, derived from this study, are 90% accuracy, 84% precision, 88% recall, and 88% F1-score. These results are exclusively attributable to the adaboost algorithm. In comparison to the logistic regression algorithm, the resulting accuracy is still below that of the adaboost algorithm, with the results being 86% accuracy, 76% precision, 79% recall, and 88% F1-score. It can therefore be concluded that the adaboost algorithm is more effective than the logistic regression algorithm in classifying heart failure disease. This is particularly the case when the selected data set exhibits an unbalanced number of labels.
TOWARDS BUMDES 4.0: E-COMMERCE-BASED MSME PRODUCT MARKETING ASSISTANCE TRAINING AT BUMDES BALAI BATU SANDARAN VILLAGE, BARANGIN DISTRICT, SAWAHLUNTO CITY Nurofik, Agus; Amran, Ali; Tio, Lina; Permana, Hendrik; Hendri, Novi
TOPLAMA Vol. 2 No. 2 (2025): TOPLAMA
Publisher : PT Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/tla.v2i2.321

Abstract

This service program aims to provide product marketing assistance through an E-Commerce-based digital platform for BUMDesa Balai Batu Sandaran, Barangin District, Sawahlunto City. It is expected that this program can serve as a solution for product marketing by fostering a digital ecosystem for BUMDesa management. Additionally, BUMDesa digitization supports the achievement of the Sustainable Development Goals (SDGs), particularly point nine, which focuses on infrastructure, industry, and innovation. The implementation of this program consists of three main stages: socialization, program implementation, and monitoring and evaluation. The first stage involves socializing the program to all BUMDesa administrators and informing them of its objectives and benefits. The second stage focuses on implementation, including assistance in creating E-Commerce accounts and digital marketing training for BUMDesa products. Finally, the monitoring and evaluation phase assesses the program’s effectiveness, its impact on the community, and the alignment between planning and execution. The advancement of information technology has brought significant transformations across various sectors, including the local economy. This study explores the implementation of Bumdes 4.0 through E-Commerce-based MSME product marketing assistance training at BUMDesa Balai Batu Sandaran. The training is designed to enhance MSME actors’ ability to market their products online, leveraging E-Commerce platforms to reach a broader market. Through a participatory and collaborative approach, this training not only provides technical skills but also effective marketing strategies.
Classification of Thyroid Class using ID3 Algorithm and Artificial Neural Network (ANN) Henisaniyya, Nabila; Pertiwi, Citra; Desiani, Anita; Amran, Ali; Arhami, Muhammad
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.3440

Abstract

Thyroid disease refers to a range of conditions or issues affecting the thyroid gland. This gland, located below the Adam’s apple, is responsible for coordinating various metabolic processes in the body, making its function essential. Early detection of thyroid symptoms is crucial as an initial step in planning the necessary treatments to prevent more severe thyroid-related health risks. One commonly applied method for early detection involves classification using a data mining approach. Among the algorithms frequently used for classification are the ID3 algorithm and Artificial Neural Networks (ANN). This study aims to obtain the best classification results for detecting thyroid disease by comparing these two algorithms. The accuracy results for percentage split testing were 88% for ID3 and 90% for ANN. Meanwhile, the accuracy values for K-Fold cross-validation were 93% for the ID3 algorithm and 95% for the ANN algorithm. Additionally, the overall average precision and recall values for both algorithms were above 75% for percentage split testing and above 90% for K-Fold cross-validation. The results indicate that ANN achieved higher percentages compared to ID3. Based on the accuracy, precision, and recall values obtained from both algorithms, it can be concluded that the ANN algorithm performs better than ID3 in classifying thyroid disease.
OPTIMASI PENYIMPANAN DAN PENCARIAN DATA PADA UMKM MELALUI ANALISIS DAN DBMS (STUDI KASUS : SEAFOOD TRUBUS TUBAN): OPTIMASI PENYIMPANAN DAN PENCARIAN DATA PADA UMKM MELALUI ANALISIS DAN DBMS (STUDI KASUS : SEAFOOD TRUBUS TUBAN) amran, ali; Rohmah, Khoirur; Dewi, Herdiyanti Kusuma`
Curtina Vol 5 No 2 (2024)
Publisher : Program Studi Teknik Informatika Universitas PGRI Ronggolawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/curtina.v5i2.1505

Abstract

Database management system (DBMS) are key technology and can provide great benefits for MSMEs. DBMS allows MSMEs to manage storage, customer, inventory and transaction data more efficiently. DBMS provides a structured and organized storage mechanism, DBMS helps manage and access information that is important for daily operations. Apart from that, DBMS also provides data reliability and security which increases the integrity of business information. Furthermore, a DBMS facilitates better data analysis for its use, by storing historical data and allowing for easier and more efficient data extraction and analysis. DBMS can help MSMEs to make decisions based on identified facts and trends. In addition, DBMS supports integrity with other applications, such as online payment systems, digital marketing, supply chain management, which increases the effectiveness and competitiveness of MSMEs in an increasingly digitally connected market . In today’s digital context the use of DBMS solutions provides an important competitive advantage for MSMEs. However, challenges related to cost and the need for technical expertise remain considerations. In conclusion, the use of DBMS in MSMEs plays a vital role in supporting efficiency, analysis and data security which are key factors for business success and growth.
Co-Authors Abd Ghafar bin Don Abdul Hamid Adha, Yuni Adi Suparwo Adinda Ayu Lestari, Adinda Ayu Agus Nurofik Agustin, Oriza Agustina, Silpia Ahmad Nizar Rangkuti Ajeng Islamia Putri Aji Pangestu, Moch. Rizqi Akmil Asril Al Himam, Wasik Al-Ariq, M Alfensi Faruk Alga Mahida Ali, Rizkia Salsabila Andika, Jaya Dwi Anita Desiani Aprilia, Wahyu Nur Apriyani, Eka Ardi Ardi Ardiansah, Moh. Musayarof Ardila, Nebi Arhami, Muhammad Arifanti, Anggita Dwi Arifuddin Arifuddin Aris Wibowo Arsyad. H, Muhammad Iqbal Astutik Astutik Aulita, Rida Nur Ayuputri, Niken Bambang Suprihatin Bambang Suprihatin Batubara, Gracia Mianda Caroline Budhi Oktavia Budi Hardjayanti, Nany Calista, Nur Avisa Carolina Rahman Chairu Nisa Apriyani Chairunnisa Siregar, Fitri Danny Matthew Saputra Danny Matthew Saputra Des Alwine Zayanti, Des Alwine Deski Beri Desy Kurniawati Dewi Lestari Dwi Putri Dewi, Deshinta Arrova Dewi, Herdiyanti Kusuma` Dewi, Novi R. Dewi, Sri W K Dewi, Sri Wijaya Kesuma Dewi, Srie Wijaya Kesuma Dian Cahyawati Diana, Siti Nur Diani Syahputri Dina Suzzete Sitorus Diyah Hoiriyah Doni Purnama Alamsyah Drajat, Devi Yuniati Dwifa, Dima Endang Sri Kresnawati Endro Setyo Cahyono, Endro Setyo Enyta Yuniar Ermatita - Erwin, Erwin Evi Yuliza, Evi Faishal Fitra Ramadhan Fikri, Sholeh Firdaus, Firman Aditya Fitria, Yaumul Ganafri, Ganafri Geovani, Dite Gusman , Mulya Habib Syukri Nasution HARDIMANSYAH HARDIMANSYAH Harmaiyani, Risky Hasibuan, MS Hendri, Novi Henisaniyya, Nabila Hermansyah Hermansyah Hermansyah Hervi, Fauziah Hoiri, Sajiril Icol Dianto Ikrar Jamika, Fadel Indah Verdya Alvionita Indra Maiyanti, Sri Irmeilyana Irsyadi Yani Isnaeni Isnaeni KHAIRUL HUDA, KHAIRUL Komalasari, Yunika Kosasih, Ahmad Kresnawati, Endang S. Kurniawan, Adang Latifah, Dede Lesmana, Gusman Lili Nur Indah Sari Luckieta, Meiliani Lufri Lufri Makhalli, Siddiq Mandra Saragih, Mandra Mara Samin Lubis Mariam Nasution Marselina, Nyanyu Chika Maya Meilensa Mega Tiara Putri MS Hasibuan Muhammad Akbar Muhammad Awaludin Djohar Muhammad Azwar Annas Muzakir, Adi Napitu, Michael Jackson Nasution , Syafri Martabe Rizka Nasution, Mhd. Sarif Muda Ngudiantoro . Ning Eliyati Ningsih, Lesnida Nisa, Yustia Fitrotul Nopri Nasir Novi Rustiana Dewi NUNI GOFAR Nur Avisa Calista P.A, Novia Lestari Pelatin, Agustinus Doni Permana, Hendrik Pertiwi, Citra Pratiwi, Ananda Puspa Sari, Puspa Putri Pratiwi Putri, Ajeng Islamia putri, amanda Putri, Yogi Arditya Candani Rahadian Zainul Rahmadi, Egi Rahmatullah, Rohim Rais, Zaim Ramadhan, Bima Lintang Ramadhani, M. David Rambe, Ifrah Hayani RAMBE, SOJUANGON Redina An Fadhila Chaniago Rifki Kurniawan Rifkie Primartha Rizki, Fatur Rofily Putriyandari, Rofily Rohmah, Khoirur S.Ag. S. Pd. M.Ag, Deliati Salamah, Fitri Salsabila, Aulia Saputra, Ananda Saputro, Bayu Trio Saputro, Rizky Wahyu Shalsabila Fauzana, Tiara Shintia, Clara Sholihin Sholihin Siddiq Makhalli SIREGAR, BUDI GAUTAMA Siregar, Esli Zuraidah Siska Nerita Siti Muawanah Siti Nuryanti Sitompul, LIsnawati Sofia Sri Indra Maiyanti Sugandi Yahdin Suryana Suryana Susmawati, Putri Rahayu Syaharani, Happy Thoyibah, Sarirotut Tio, Lina tri wahyuni Triyani Triyani Ulum, Luluk Bahrul Umar, Iswandi Wati, Mala Ayu Setia Wijaya, Muhammad Rudi Yani Restiani Widjaja, Yani Restiani Yayu Sri Rahayu, Yayu Sri Yuli Andriani Yulia Resti Yuniar, Enyta Zayanti, Des A. Zuhria, Sinta Ainun