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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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Independence Test and Plots in Correspondence Analysis to Explore Tracer Study Data Endang Sri Kresnawati; Irmeilyana Irmeilyana; Ali Amran; Danny Matthew Saputra
International Journal of Applied Sciences and Smart Technologies Volume 03, Issue 02, December 2021
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v3i2.3891

Abstract

The results of the exploration of tracer study data can be used as information about the career of graduates and the relevance of work to the field of study as well as the competencies obtained before graduation. The question items discussed were a description of the time and process of looking for a job, the length of time to get the first job, the relationship between length of study, gender, field of work, total income, alumni's perception of the closeness of the field of study to work, the suitability of the level of education on the job, and average level of competence. The aim of this study was to analyze the relationship between these variables in the 2020 tracer study data from graduates of all faculties at Sriwijaya University. Respondents studied were 2,669 people. The method used is descriptive statistics, biplot analysis, independence test and plots by simple correspondence analysis. Respondents' perceptions of the suitability of the level of education in employment are related to gender and also with respondents' perceptions of the closeness of the field of study to the field of work. Meanwhile, respondents' perceptions of the closeness of the field of study with work are related to the field of work. The average length of study, the average number of job applications, the number of companies or agencies that responded to applications, and invited interviews for female respondents were lower than male respondents.
Liver Segmentation Using Convolutional Neural Network Method with U-Net Architecture Muhammad Awaludin Djohar; Anita Desiani; Ali Amran; Sugandi Yahdin; Dewi Lestari Dwi Putri; Des Alwine Zayanti; Novi Rustiana Dewi
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.6751

Abstract

Abnormalities in the liver can be used to identify the occurrence of disorders of the liver, one of which is called liver cancer. To detect abnormalities in the liver, segmentation is needed to take part of the liver that is affected. Segmentation of the liver is usually done manually with x-rays. . This manual detection is quite time consuming to get the results of the analysis. Segmentation is a technique in the image processing process that allocates images into objects and backgrounds. Deep learning applications can be used to help segment medical images. One of the deep learning methods that is widely used for segmentation is U-Net CNN. U-Net CNN has two parts encoder and decoder which are used for image segmentation. This research applies U-Net CNN to segment the liver data image. The performance results of the application of U-Net CNN on the liver image are very goodAccuracy performance obtained is 99%, sensitivity is 99%. The specificity is 99%, the F1-Score is 98%, the Jacard coefficient is 96.46% and the DSC is 98%.  The performance achieved from the application of U-Net CNN on average is above 95%, it can be concluded that the application of U-Net CNN is very good and robust in segmenting abnormalities in the liver. This study only discusses the segmentation of the liver image. The results obtained have not been applied to the classification of types of disorders that exist in the liver yet. Further research can apply the segmentation results from the application of U-Net CNN in the problem of classifying types of liver disorders.
Application of the Waterfall Method in Software Design on Android-Based Programming Language Course Applications Anita Desiani; Ali Amran; Nuni Gofar; Chairu Nisa Apriyani; Redina An Fadhila Chaniago
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.6995

Abstract

In this era of technology and information proliferating, programming skills are needed. Technology affects every area of life from industry, business, communication, transportation, health, and others. Everyone has the same opportunity to learn and master technology thus programming language courses are needed to provide education, innovation, and improvement of skills and abilities in the field of programming and data science to the public. Until now, programming language courses still use the conventional system, where everything is done manually, from class registration, class scheduling, teaching and learning process, and payment processing which results in many archives that must be stored for administrative purposes and require a relatively large amount of time for customers to come to the course location. Therefore, an information technology-based system is needed to fix the weaknesses of the old system. In this study, an Android-based programming language course application is designed to facilitate customers and course owners in teaching and learning activities and transactions. The design in this study uses the waterfall method, which consists of five stages, needs analysis, design, code, testing, and maintenance. The results obtained from testing applications using questionnaires on programming language course applications are 80% stated by course customers, where the application is easy to use, faster, and more practical in registering. In conclusion, this designed application can make it easier for customers to carry out teaching and learning activities and transact quickly and practically.
Implementasi Algoritma Naïve Bayes dan Support Vector Machine (SVM) Pada Klasifikasi Penyakit Kardiovaskular Anita Desiani; Muhammad Akbar; Irmeilyana Irmeilyana; Ali Amran
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 4, No 2 (2022): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v4i2.7691

Abstract

Penyakit kardiovaskuler adalah penyakit yang diakibatkan penyempitan atau penyumbatan pembuluh darah di jantung penyakit ini disebabkan gangguan fungsi jantung dan pembuluh darah. Sistem kardiovaskular terdiri dari jantung dan pembuluh darahnya. Penelitian ini bertujuan melakukan klasifikasi penyakit kardiovaskular untuk memprediksi suatu pola. Pada penelitian ini akan menggunakan metode support vector machine dan naïve bayes dengan metode latih percentage split dan k-fold cross validation. Hasil akurasi pengolahan menggunakan Algoritma Naïve Bayes adalah sebesar 70% untuk metode latih percentage split dan 71% untuk metode latih k-fold cross validation. Kemudian dengan menggunakan algoritma support vector machine didapat akurasi 61% untuk metode latih percentage split dan 65% untuk metode latih k-fold validation. Hasil tersebut menunjukkan bahwa algoritma naïve bayes dengan metode latih k-fold validation cukup baik dalam melakukan klasifikasi penyakit kardiovaskular.
Pengaruh DAR dan Ukuran Perusahaan Terhadap ROA Perusahaan yang Terdaftar Di LQ45 Pada BEI Luckieta, Meiliani; Amran, Ali; Alamsyah, Doni Purnama
Perspektif : Jurnal Ekonomi dan Manajemen Akademi Bina Sarana Informatika Vol 19, No 1 (2021): Maret 2021
Publisher : www.bsi.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jp.v19i1.9235

Abstract

Penelitian ini dilaksanakan dengan tujuan untuk menganalisis adanya pengaruh dari Struktur Modal (DAR) dan Ukuran Perusahaan terhadap profitabilitas perusahaan (ROA) yang terdaftar di LQ45 pada BEI sehingga dapat memberikan gambaran dan pemahaman yang mendalam untuk digunakan para investor dan pelaku bisnis dalam upaya meningkatkan profitabilitas perusahaannya. Metode yang digunakan adalah metode verifikatif. Variabel yang digunakan adalah variabel Struktur Modal (DAR) dan ukuran perusahaan sebagai variabel independent, variabel profitabilitas perusahaan (ROA) sebagai variabel dependent. Sumber data yang digunakan adalah data sekunder berupa laporan keuangan 23 perusahaan yang aktif selama periode 2013 – 2017 dan terdaftar di LQ 45 Bursa Efek Indonesia. Sedangkan Teknik pengumpulan data yang digunakan yaitu dengan metode dokumentasi, berdasarkan kriteria-kriteria yang telah diseleksi diperoleh 23 perusahaan sebagai sampel penelitian. Sumber data berasal dari Laporan Keuangan Perusahaan yang terdaftar di LQ 45 Bursa Efek Indonesia periode 2013 – 2017. Teknik analisis data menggunakan Analisis Regresi Linier Sederhana dengan Program SPSS 20. Hasil penelitian ini membuktikan secara parsial bahwa Struktur Modal berpengaruh secara positif dan signifikan terhadap Profitabilitas Ukuran Perusahaan berpengaruh terhadap Profitabilitas Struktur Modal dan Ukuran Perusahaan secara  bersama-sama berpengaruh terhadap ProfitabilitasKata Kunci: Ukuran Perusahaan, ROA, DAR.
Pemberdayaan Ekonomi Perempuan Desa Limbang Jaya Melalui Pemanfatan Limbah Kain Songket Anita Desiani; Bambang Suprihatin; Erwin Erwin; Ali Amran; Dina Suzzete Sitorus; Faishal Fitra Ramadhan; Rifki Kurniawan
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v5i2.7455

Abstract

Limbang Jaya adalah desa yang terletak di Tanjung Batu, Kabupaten Ogan Ilir, Sumatera Selatan. Penduduk laki-laki mayoritas berprofesi sebagai pandai besi, sedangkan perempuan mayoritas berprofesi sebagai pengrajin kain songket. Seorang perajin dapat menghasilkan 3-4 lembar kain songket setiap bulannya. Pengrajin songket di Limbang Jaya sebagian besar berprofesi sebagai buruh bukan sebagai pemilik usaha kerajinan songket. Mereka hanya menerima upah untuk setiap pembuatan kain songket yang selesai dibuat. Hasil kain songket sekitar 50-70 cm. Pemotongan songket menyisakan limbah potongan-potongan kecil dari songket tersebut. Kegiatan pengabdian ini memberikan panduan dan pelatihan secara langsung mengenai teknik tambal sulam dan quilting. Teknik tambal sulam dan quilting dapat digunakan untuk memanfaatkan sisa limbah kain songket menjadi produk yang bernilai jual. Tahapan kegiatan dalam tulisan ini yang dilakukan adalah survei, persiapan kegiatan, penyampaian materi, dan evaluasi kegiatan. Setelah melaksanakan kegiatan ini para peserta sudah memahami bagaimana mengaplikasikan teknik tambal sulam dan quilting pada kain songket sisa sehingga dapat menjadi sebuah produk baru yang mempunyai nilai jual. Diharapkan kegiatan ini dapat menjadi alternatif pendapatan bagi masyarakat Limbang Jaya sehingga kesejahteraannya dapat meningkat.
Service Excellence dan Servicescape: Faktor Dominan Dalam Menciptakan Kepuasan Tamu Hotel Amran, Ali; Restiani Widjaja, Yani; Nuryanti, Siti
Jurnal Kajian Pariwisata Vol 1 No 1 (2019): Jurnal Kajian Pariwisata
Publisher : LPPM STP ARS Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51977/jiip.v1i1.135

Abstract

ABSTRAK Service excellence dan servicescape merupakan dua hal penting yang dapat mempengaruhi kepuasan tamu hotel. Tujuan penelitian ini adalah untuk mengetahui pengaruh service excellence dan servicescape terhadap customer satisfaction tamu hotel. Metode yang digunakan dalam penelitian ini adalah metode survey dengan mengambil objek penelitian 96 tamu yang menginap di hotel Villa Lemon Lembang Jawa Barat. Penentuan responden diambil menggunakan metode non probability sampling dengan teknik Accidental sampling. Jenis penelitian ini yaitu penelitian deskriptif verifikatif menggunakan analisis regresi berganda. Penelitian ini menunjukkan hasil bahwa tingkat service excellence sangat tinggi, sedangkan tingkat servicescape dan customer satisfaction tinggi. Pengujian hipotesis menunjukkan bahwa service excellence berpengaruh signifikan terhadap customer satisfaction secara parsial dan servicescape berpengaruh signifikan terhadap customer satisfaction secara parsial. Sedangkan secara simultan service excellence dan servicescape berpengaruh terhadap customer satisfaction. Antara variabel service excellence dan servicescape, variabel yang paling dominan mempengaruhi customer satisfaction yaitu service excellence. Manfaat penelitian ini bagi pelaku wisata hotel yaitu dengan menyadari bahwa service excellence dan servicescape sangat penting dalam meningkatkan kepuasan tamu hotel. Kata kunci: service excellence, servicescape dan customer satisfaction
Perhutanan Sosial dalam Pengelolaan Sumber Daya Hutan Di Indonesia Ikrar Jamika, Fadel; Amran, Ali; Umar, Iswandi; Gusman , Mulya
Jurnal Pro-Life Vol. 10 No. 2 (2023): Juli
Publisher : Program Studi Pendidikan Biologi Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/jpvol6Iss2pp102

Abstract

Forests are one of the living environments that are directly related to humans. The biggest problem in the forestry sector is the rate of deforestation and degradation. Management of forest resources with the community is a system of resource management that is carried out. Social forestry is a system of managing forest resources in state forest areas or private forests, which provides opportunities for local communities as main actors and partners to improve their welfare and realize forest sustainability. The results of the research reveal that forest management with the community is an example of social forestry implementation. The aim of forest management with the community is to encourage the management of forest resources through a combination of economic, ecological and social aspects in a proportional and professional manner. Keywords: Forest management, environment, social forestry
Using Fondi Application to Escalate the Speaking Ability of EFL High School Students Rambe, Ifrah Hayani; Amran, Ali
Journal of English Language and Education Vol 9, No 5 (2024)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v9i5.537

Abstract

Gamification in learning introduces a new atmosphere for students learning English. Application-based learning offers accessibility and flexibility for users. This study aims to understand students’ perceptions of the Fondi application and explore its effectiveness in enhancing English speaking skills. The research employs a case study method at MAN 1 Medan, using data collection techniques such as observation, interviews, and documentation. Data analysis follows Miles and Huberman’s approach, which includes data reduction, data presentation, and conclusion drawing. The study’s informants are 11th-grade students using the Fondi application and English teachers. The findings indicate that students at MAN 1 Medan have positive perceptions of the Fondi application, feeling more motivated and confident in practicing English speaking. The gamification features of the application, such as challenges, points, and levels, have proven effective in increasing student engagement and English-speaking abilities. Additionally, the competition and collaboration elements within the Fondi application strengthen social interaction among students, providing an authentic and contextual learning experience. The author recommends that future researchers study the use of the Fondi application in various educational contexts with more diverse samples and longer research durations. Further research should also collect longitudinal data to observe the long-term impact of using this application.
Klasifikasi Penyakit Kanker Prostat Menggunakan Algoritma Naïve Bayes dan K-Nearest Neighbor Muzakir, Adi; Desiani, Anita; Amran, Ali
Komputika : Jurnal Sistem Komputer Vol 12 No 1 (2023): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v12i1.9629

Abstract

Kanker prostat merupakan kanker yang berkembang di prostat dalam sistem reproduksi pria, hal ini terjadi ketika sel prostat mengalami keterikatan pada reseptor androgen melalui proses molecular docking. Insidensi kanker prostat meningkat seiring pertambahan usia, di mana risiko yang dimiliki pria untuk menderita kanker prostat dalam seumur hidupnya mendekati angka 10%. Deteksi dini terhadap kasus kanker prostat pada banyak pengidap atau pria yang rentan risiko kanker prostat penting dilakukan untuk memulai pengobatan dan perencanaan kebutuhan medis yang tepat. Salah satu cara yang dapat dilakukan dalam deteksi penyakit kanker prostat adalah dengan melakukan klasifi-kasi menggunakan pendekatan data mining dengan algoritma Naïve Bayes dan K-Nearest Neighbor (K-NN). Penelitian ini bertujuan untuk mendapatkan hasil klasifikasi terbaik untuk mendeteksi penyakit kanker prostat dengan membandingkan kedua algoritma tersebut. Hasil akurasi klasifikasi kanker prostat dengan menggunakan algoritma Naïve Bayes adalah 80% dan K-NN sebesar 90%. Sementara untuk rata-rata keseluruhan nilai presisi algoritma Na-ïve Bayes dan K-NN masing-masing berada di angka 71,5% dan 93%. Nilai recall untuk algoritma Naïve bayes didapatkan sebesar 88% dan algoritma K-NN yaitu 87,5%. Berdasarkan nilai akurasi, presisi, dan recall kedua algo-ritma tersebut, algoritma K-NN memiliki nilai yang lebih tinggi dibandingkan dengan algoritma Naïve Bayes, sehing-ga dapat dikatakan bahwa algoritma K-NN bekerja dengan baik dalam melakukan klasifikasi penyakit kanker prostat. Meskipun algoritma Naïve Bayes memiliki nilai yang lebih rendah dibandingkan dengan algoritma K-NN, tetapi nilai rata-rata untuk performa presisi, recall, dan akurasinya masih berada di atas 70%. Dapat dikatakan bahwa algoritma Naïve Bayes cukup baik dalam mengklasifikasi penyakit kanker prostat.
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