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All Journal Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) Jurnal Al Bayan: Jurnal Jurusan Pendidikan Bahasa Arab Irfani Pendidikan Bahasa Inggris Jurnal Online Mahasiswa (JOM) Bidang Ilmu Hukum Jurnal Ilmiah Mahasiswa FEB Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Informatika dan Teknik Elektro Terapan Gravitasi Mutiara Medika: Jurnal Kedokteran dan Kesehatan Abjadia, International Journal of Education Jurnal Penelitian Geosains KOMUNIKA JURNAL ILMIAH GEOMATIKA Jurnal Matematika Sains dan Teknologi Journal of Electrical Technology Syntax Literate: Jurnal Ilmiah Indonesia Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Inotera INTECOMS: Journal of Information Technology and Computer Science Zawiyah: Jurnal Pemikiran Islam JURNAL PENDIDIKAN TAMBUSAI JISIP: Jurnal Ilmu Sosial dan Pendidikan TSAQAFAH Journal Multicultural of Islamic Education YARSI Medical Journal EDUMATIC: Jurnal Pendidikan Informatika Journal Of Management Science (JMAS) Journal I La Galigo : Public Administration Journal Journal of Information Systems and Informatics Majalah Ilmiah Warta Dharmawangsa BISEI: Jurnal Bisnis dan Ekonomi Islam Jurnal Informasi dan Teknologi Prosiding National Conference for Community Service Project Al Iman: Jurnal Keislaman dan Kemasyarakatan JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Jurnal Abdi Insani Journal of Intelligent Decision Support System (IDSS) Spizaetus: Jurnal Biologi dan Pendidikan Biologi Jurnal Pengabdian kepada Masyarakat Nusantara Kalamuna JENIUS: Jurnal Terapan Teknik Industri Indonesian Journal of Industrial Engineering & Management El-Mujtama: Jurnal Pengabdian Masyarakat JURNAL STUDIA KOMUNIKA Jurnal Pengabdian Masyarakat (ABDIRA) Journal of Information System and Technology (JOINT) Jurnal Info Sains : Informatika dan Sains Indo-MathEdu Intellectuals Journal Jurnal Progress Administrasi Publik (JPAP) Jurnal Pendidikan Ilmu Pengetahuan Alam (JP-IPA) NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Jurnal Pendidikan dan Pembelajaran Sekolah Dasar (JPPSD) Jurnal Komunikasi Islam JIPMukjt:Jurnal Ilmu Pendidikan Muhammadiyah Kramat Djati EDUSTUDENT: Jurnal Ilmiah Pendidikan dan Pembelajaran TIMPALAJA: Architecture Student Journal NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Mesin Sinergi Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Journal of Fish Health Jurnal Ilmiah Mahasiswa teknik Jurnal Publikasi Ilmu Manajemen Indonesian Research Journal on Education Jurnal Multidisiplin West Science Jurnal Teknologi Informasi Innovative: Journal Of Social Science Research Jurnal Pengabdian West Science General Ledger : Jurnal Studi Ilmu Akuntansi dan Keuangan Jurnal Ilmu Sosial, Humaniora dan Seni Jurnal Pengabdian Harapan Bangsa Journal of Educational Management Research Journal of Constitutional Law Society (JCLS) SLUMP TeS : Jurnal Teknik Sipil International Journal of Multidisciplinary Approach Research and Science Jurnal Nuansa: Publikasi Ilmu Manajemen dan Ekonomi Syariah Triwikrama: Jurnal Ilmu Sosial Jurnal Nirta: Studi Inovasi JRIIN :Jurnal Riset Informatika dan Inovasi APPA : Jurnal Pengabdian Kepada Masyarakat Pusat Publikasi Ilmu Manajemen Jurnal Ilmiah Research Student INSANTA: JURNAL PENGABDIAN KEPADA MASYARAKAT Adabuna: Jurnal Pendidikan dan Pemikiran Al-Zayn: Jurnal Ilmu Sosial & Hukum SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Infolitika Journal of Data Science PEDAMAS (Pengabdian Kepada Masyarakat) Jurnal Akademik Pengabdian Masyarakat Journal of Civic Education Research Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Pengabdian UMKM Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Manajemen Bisnis Era Digital Jurnal Inovasi Manajemen, Kewirausahaan, Bisnis dan Digital Jurnal Intelek Insan Cendikia Economic Development Analysis Journal Paramacitra : Jurnal Pengabdian Masyarakat Jurnal Ilmu Sosial dan Humaniora ICON Islamic Communication and Contemporary Media Studies Jurnal Bisnis, Ekonomi Syariah dan Pajak Jurnal Manajemen Dayasaing Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal Perikanan Cahaya Pengabdian J-Mabisya Jurnal Lempu Al Iman: Jurnal Keislaman dan Kemasyarakatan Jurnal Wicara Desa Jurnal Ad'ministrare: Jurnal Pemikirian Ilmiah dan Pendidikan Administrasi Perkantoran JURNAL PESASTRA ( PENDIDIKAN BAHASA DAN SASTRA)
Muhammad Ardiansyah
Departemen Ilmu Tanah Dan Sumberdaya Lahan, Fakultas Pertanian, Institut Pertanian Bogor
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 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

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Pesan Moral Dalam Lirik Lagu Mangku Purel Karya Nur Bayan: Indonesia Ardiansyah, Muhammad; Hariyanto, Didik
Jurnal Ilmu Komunikasi Vol 6 No 2 (2023): Studia Komunika: Jurnal Ilmu Komunikasi
Publisher : Pahlawan 12 Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47995/jik.v6i2.120

Abstract

ABSTRACT Song Mangku Purel by Nur Bayan became the song that was most popular with singers and occupied the first trending position on YouTube in November 2022. There are positive and negative comments about the song. This research aims to find out the moral message that is in the lyrics of the song Mangku Purel Karya Nur Bayan. The study used a qualitative approach with observational data collection techniques, listening to Mangku Purel's song on the YouTube video "Henny Adella" and documenting it by recording the lyrics of her song. Then the lyrics of the song were analyzed using the semiotic approach of Charles Sanders Pierce. The results of this study show that there are some words or sentences in the Mangku Purel song that do not reflect the moral message, but there are still sentences that match the moral message. The conclusion obtained in this research is that in the song Mangku Purel by Nur Bayan, there is a word or sentence that connotes negative, tends to represent the asylum action to describe the asyllum action specifically, sounds rough and vulgar, but in the song still contains a moral message in the form of an adjudication to stop doing asylums, urges to be the head of the tanga house who is responsible, and urges not to deny the promise. Keywords: Moral Message; Lyrics of song; Mangku Purel;Semiotic; Charles Sanders Pierce
Faktor Penentu Kesejahteraan Subjektif Mahasiswa : Sebuah Studi Eksploratif di Universitas Negeri Padang Ardiansyah, Muhammad; Aulia, Farah
Jurnal Pendidikan Tambusai Vol. 5 No. 1 (2021): 2021
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v5i1.1157

Abstract

Tujuan penelitian ini adalah untuk mengeksplorasi faktor penentu kesejahteraan subjektif mahasiswa di Universitas Negeri Padang. Metode penelitian ini adalah kualitatif eksplorasi dengan jumlah responden sebanyak 115 mahasiswa Universitas Negeri Padang di Kota Padang yang dipilih melalui teknik cluster sampling. Pengumpulan data menggunakan teknik kuesioner yang disebar pada mahasiswa di seluruh fakultas di Universitas negeri Padang di kota Padang. Data yang diperoleh kemudian dianalisis menggunakan analisis tematik dan melalui proses keabsahan data dengan peer debriefing. Penelitian ini menemukan enam tema utama yang menjadi determinan kesejahteraan mahasiswa Universitas Negeri Padang di Kota Padang. Keenam determinan tersebut antara lain adalah faktor individu mahasiswa (32.62%), kepuasan dalam relasi (24.55%), kepuasan akademik (17.36%), ekonomi (12.28%), kepuasan terhadap diri (6.60%), dan afeksi (6.59%).
ANALYSIS OF ARABIC FINAL SEMESTER ASSESSMENT QUESTIONS BASED ON MODERATE ORDER THINGKING SKILSS (MOTS) AT MTS ITTIHAD SAMARINDA Ihsan, Muhammad; Ardiansyah, Muhammad; Amalia, Jessica Noer; Qomari, Nur; Shofura, Syifa
Abjadia : International Journal of Education Vol 9, No 2 (2024): Abjadia
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/abj.v9i2.28016

Abstract

Evaluation of learning is crucial in education to measure student achievement and provide feedback to students and educators. Evaluation must adhere to the principles of comprehensiveness, continuity, and objectivity. One method to assess learning quality is through the end-of-semester examination (PAS). This research highlights the importance of Moderate Order Thinking Skills (MOTS) in developing students' cognitive abilities, particularly in Arabic language learning. MOTS helps students understand and apply lesson content. This study analyzes Arabic PAS questions for eighth-grade students at MTs Ittihad Samarinda based on MOTS. The research aims to evaluate PAS question quality and provide a basis for future improvements, enhancing the quality of Arabic learning. A descriptive qualitative approach is used to understand phenomena deeply. The content analysis method is applied to relevant documents and records. The primary data source is Arabic PAS questions for the 2023/2024 academic year at MTs Ittihad Samarinda, collected through documentation and interviews. Analysis of 40 PAS questions shows 32.5% are LOTS, 57.5% are MOTS, and 10% are HOTS, focusing on Arabic syntax and vocabulary. This suggests PAS questions are geared towards understanding and application (MOTS) rather than analysis and evaluation (HOTS). Future PAS question development should balance LOTS and MOTS for junior high school level to improve assessment quality.
ANALISIS PENGARUH PANDEMI COVID-19 TERHADAP ARUS KAS PERUSAHAAN INDUSTRI FARMASI Ardiansyah, Muhammad; Subiantoro, Palacheta Subies
General Ledger : Jurnal Studi Ilmu Akuntansi dan Keuangan Vol 1, No 2 (2022)
Publisher : Sekolah Tinggi Ilmu Ekonomi Graha Kirana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (900.579 KB) | DOI: 10.61715/gledger.v1i2.11

Abstract

AbstractThis study aims to determine the impact that occurs as a result of the covid 19 pandemic and as material for evaluating the sustainability of companies engaged in the pharmaceutical sector. The object used in this research is PT. Kimia Farma, Tbk. This type of research is descriptive quantitative research. The type of data used in this study is secondary data from the official website of the Indonesia Stock Exchange (IDX) www.idx.co.id, in the form of cash flow reports for 2019- 2020. The data analysis technique uses a deductive descriptive method, where data through documents obtained from the Indonesia Stock Exchange (IDX) in the form of financial reports will be processed into a report. The results of this study indicate that for PT. Kimia Farma experienced a very significant increase in sales compared to the first quarter of the previous year. So that we can know that the pharmaceutical industry can still survive during the pandemic crisis. AbstrakPenelitian ini bertujuan untuk mengetahui dampak yang terjadi akibat dari pandemic covid 19 dan sebagai bahan untuk evaluasi terhadap kelangsungan bagi perusahaan yang bergerak dibidang farmasi. Objek yang digunakan dalam penelitian ini adalah PT. Kimia Farma, Tbk. Jenis penelitian ini adalah penelitian deskriptif kuantitatif. Jenis data yang digunakan dalam penelitian ini adalah data sekunder situs resmi Bursa Efek Indonesia (BEI) www.idx.co.id, berupa laporan arus kas tahun 2019-2020. Teknik analisis data menggunakan metode deskriptif deduktif, dimana data melalui dokumen yang diperoleh dari Bursa Efek Indonesia (BEI) berupa laporan keuangan akan diolah menjadi suatu laporan. Hasil penelitian ini menunjukkan bahwa untuk PT. Kimia Farma mengalami peningkatan penjualan yang sangat signifikan di banding dengan triwulan pertama di tahun sebelumnya. Sehingga kita dapat mengetahui bahwa industry farmasi masih dapat bertahan di masa krisis pandemi.
Penerapan Media Pembelajaran Berbasis Animasi Flash Pada Mata Pelajaran Rangakain Listrik di SMK Negeri 1 Padang Juliwardi, Ilham; Ardiansyah, Muhammad; Suhendra, Rivansyah; Walid, Muhammad; Astrianda, Nica
Jurnal Teknologi Informasi Vol 1, No 2 (2022): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.321 KB) | DOI: 10.35308/jti.v1i2.6454

Abstract

This research is oriented to the learning outcomes of students who have not yet reached the KKM in the subject of electrical circuits for class X TITL at SMKN 1 Padang. Many factors affect the low student learning outcomes such as the learning process using conventional methods and the media used by the teacher in learning is a module and only uses the blackboard. Based on these factors, research is conducted in the form of experiments to improve student learning outcomes by using media-based flash animation learning media. The method used in this research is quasi-experimental with Pretest-Posttest One Group Design. The subjects of this study were students of class X SMKN 1 Padang semester January-June 2016, which amounted to 31 students. Collecting data in this study using a test (Pretest-Posttest), namely objective questions. The test questions used were tested first to determine the validity, reliability, level of difficulty, and discriminating power of the questions. Based on the results of the study obtained 25 items. The results showed that there was an increase in student learning outcomes of class X TITL SMKN 1 Padang in the subject of Electrical Engineering. The increase occurred at a high level (0.71) where 18 students were at a high level and 13 other students were at an increasing level. Based on the results of the study, it can be concluded that the application of flash animation media on electrical circuit subjects for class X TITL SMKN 5 Padang can improve student learning outcomes at a high level (0.71).
Perancangan Sistem Informasi Absensi Berbasis Website Di Dinas Kominfo Gayo Lues Junaidi, Juna Junai; Ardiansyah, Muhammad; Sanusi, Sanusi; Murhaban, Murhaban; Andiini, Mirna Ria
Jurnal Teknologi Informasi Vol 3, No 1 (2024): Mei
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jti.v3i1.9419

Abstract

Sistem absensi yang efektif dan efisien menjadi kebutuhan penting dalam pengelolaan sumber daya manusia di lingkungan instansi pemerintahan. Penelitian ini bertujuan untuk merancang sistem informasi absensi berbasis website yang dapat meningkatkan efisiensi dan akurasi pengelolaan absensi di Dinas Komunikasi dan Informatika (Kominfo) Gayo Lues. Metodologi pengembangan sistem menggunakan pendekatan berbasis kebutuhan pengguna dan melibatkan analisis kebutuhan, desain sistem, implementasi, dan evaluasi. Sistem ini juga dilengkapi dengan fitur otomatis notifikasi untuk pengingat dan pelaporan absensi yang tertata rapi. Diharapkan implementasi sistem ini dapat meningkatkan produktivitas, efisiensi, dan transparansi dalam manajemen absensi di Dinas Komunikasi dan Informatika Gayo Lues.Berdasarkan hasil analisis kebutuhan, sistem dirancang untuk memungkinkan pegawai melakukan absensi secara online melalui website yang dapat diakses dengan mudah dan aman.
Estimation of Palm Oil Biomass Carbon from Sentinel-2 Image using the Random Forest Classification Method Ardiansyah, Muhammad; Barus, Baba; Puspita, Gita; Jaya, Adi
International Journal of Multidisciplinary Approach Research and Science Том 1 № 02 (2023): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v1i02.95

Abstract

Oil palm is a carbon absorbing plant that stores it in biomass. To monitor biomass, especially in large areas of oil palm plantations, remote sensing data can be used combined with machine learning algorithms. The aims of this study were to estimate oil palm biomass carbon according to age class using non-destructive methods, as well as analyze the relationship between the reflectance of Sentinel 2 image oil palm and oil palm biomass carbon, and estimate the distribution of oil palm biomass carbon using a learning algorithm random forest (RF) engine. Measurement of biomass at the study site was carried out non-destructively using stratified purposive sampling. The closeness of the relationship between Sentinel 2 image and measured oil palm biomass is assessed from the coefficient of determination of the regression equation. Estimation of the distribution of biomass carbon in all research locations was carried out using the RF method with the Dzetsaka classification tool. The results showed that the highest biomass carbon stock was obtained in oil palm aged 20 years with an average of 59.6 tons C/ha, while the lowest biomass carbon stock was obtained in oil palm aged 17 years with an average of 32.9 tons C/ha. The reflectance value of Sentinel-2 image on the blue, green, red, and near infrared channels has a positive correlation to biomass carbon from oil palm with an R² greater than 0.8. The classification of biomass carbon with the RF approach applied to Sentinel-2 image gives an adequate accuracy value of 76.40% in the combination of the proportion of training and testing data 60% : 40%.
Legal Analysis Of Binary Options Through Online-Based Platforms Ardiansyah, Muhammad; Prastyo, Brian Amy
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 6, No 4 (2022): JISIP (Jurnal Ilmu Sosial dan Pendidikan)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v6i4.3596

Abstract

The fraudulent acts that are currently taking place are important to be studied, discussed, and investigated because these violations are now easier to carry out. This study aims to analyze related to the legal rules governing binary options trading platform online considering the rules and regulations enforced in Indonesia, and regarding legal protection and the role of the government related to binary options trading carried out on an online platform in Indonesia. This research uses regulatory research with a legal methodology. The method of collecting information is through meetings and written studies with subjective investigation procedures. The result of this research is the legal aspect of trading binary options activities carried out in Indonesia, namely that binary options are illegal activities, this is because the platform has no legality and has been blocked by Bappebti as part of the Investment Satgas Waspada Investasi (SWI), Bappebti regularly checks and pays attention, especially to futures trading products that do not have a license from Bappebti
Pemanfaatan Produk Lokal Teh Daun Kelor Sebagai Upaya Pencegahan Stunting di Kampung Buge Ara Kabupaten Aceh Tengah Sanusi; Ardiansyah, Muhammad; Juliwardi, Ilham; Zulfrizal, Muhammad; Ananda, Riski; Anita, Nelci; Aidina, Fitri Riza; Dalimunthe, Wahyulita; Munawara
SEWAGATI: Jurnal Pengabdian kepada Masyarakat Vol 3 No 1 (2024): SEWAGATI: Jurnal Pengabdian kepada Masyarakat
Publisher : Sarau Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61461/sjpm.v3i1.58

Abstract

Kampung Buge Ara terletak di Kecamatan Ketol, Kabupaten Aceh Tengah, yang mayoritas utama penduduknya bermata pencaharian sebagian besar petani kopi. Hasil obervasi diketahui masyarakatnya sudah memiliki pengetahuan kesehatan yang memadai, namun mereka belum memberikan perhatian yang cukup terhadap masalah asupan gizi terutama balita. Oleh karena itu tim pengabdian memberikan edukasi kepada masyarakat dalam rangka peningkatan pengetahuan dan kesadaran akan stunting serta edukasi dalam membuat produk bersumber daya lokal salah satunya adalah dengan membuat teh daun kelor. Daun kelor yang telah dikumpulkan kemudian dipisahkan dari tangkai daunnya kemudian dibersihkan dan dilakukan penghalusan menggunakan blender, lalu dikeringkan, selanjutnya dimasukkan kedalam bungkusan teh celup. Langkah terakhir teh celup siap dibagikan kepada warga. Masyarakat setempat merasa senang setelah mendengarkan penjelasan dari tim pengabdian dan menerima teh celup yang telah dibagikan, selain itu juga Masyarakat mendapat tambahan pengetahuan tentang pengolahan daun kelor menjadi teh. Tim pengabdian mendorong agar para warga termotivasi untuk mencari informasi lebih lanjut tentang pengolahan daun kelor dengan memanfaatkan telepon genggam dan internet.
Cardiovascular Disease Prediction Using Gradient Boosting Classifier Suhendra, Rivansyah; Husdayanti, Noviana; Suryadi, Suryadi; Juliwardi, Ilham; Sanusi, Sanusi; Ridho, Abdurrahman; Ardiansyah, Muhammad; Murhaban, Murhaban; Ikhsan, Ikhsan
Infolitika Journal of Data Science Vol. 1 No. 2 (2023): December 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijds.v1i2.131

Abstract

Cardiovascular Disease (CVD), a prevalent global health concern involving heart and blood vessel disorders, prompts this research's focus on accurate prediction. This study explores the predictive capabilities of the Gradient Boosting Classifier (GBC) in cardiovascular disease across two datasets. Through meticulous data collection, preprocessing, and GBC classification, the study achieves a noteworthy accuracy of 97.63%, underscoring the GBC's effectiveness in accurate CVD detection. The robust performance of the GBC, evidenced by high accuracy, highlights its adaptability to diverse datasets and signifies its potential as a valuable tool for early identification of cardiovascular diseases. These findings provide valuable insights into the application of machine learning methodologies, particularly the GBC, in advancing the accuracy of CVD prediction, with implications for proactive healthcare interventions and improved patient outcomes.
Co-Authors , Dasrol A.A. Ketut Agung Cahyawan W Abdiel Khaleil Akmal ABDULLOH Abdurrahman Ridho Ade Khadijatul Z Harahap Ade Khadijatul Z Hrp Adetrya, Dirga Adi Jaya, Adi Adinda, Audia Afrida, Merisa Agni Tri Pratiwi Agung Widhi Kurniawan Agus Kurniawan Agustin, Pradita Ayu Ahmad Barizi Ahmad Zubair Sultan Aidina, Fitri Riza Ainul Annisa Aisyah Akmal Ridwan Akmal Walad Ahkas, Akmal Walad Al-‘Anazy, Majid Dakhil Alfahri, Muhammad Dimas Alfiana Nanda Waraswati Amalia, Jessica Noer Amin Awal Amarudin Aminah, Nur Amirudin Rahim Ananda, Angelina Maghvira Andi Gunawan Andi Masita Bunga Wali Andiini, Mirna Ria Andini, Mirna Ria Andri Gugun Andy Hakim Angeline Angeline Angga Pradana Anggraeni Anita, Nelci Annisa Annisa Ansar Ardi Ardi Ari Kurniawan Saputra Arief Pramudya Arieza Andriani Nur Aina Aripradono, Heru Wijayanto Arismunandar Arismunandar Arismunandar Armaiki Yusmur Arrasyid, Abraham Arrazy Elba Ridha Arwin Arwin Arwin Arwin Arwin Aslam, Annisa Paramaswary Asri Awal Atang Sutandi Atikah Humaidah Hasibuan Aulia Rahmawati Aulia Rahmawati, Aulia Ayu Lestari Abbas Ayyasy, Muhammad Azura, Cikal Baba Barus Boedi Tjahjono Br Ginting, Lisa Septia Dewi Brian Amy Prastyo Budi Nugroho Bumi Arane Iki Calsa Citta Rani Chanrico, Wilsen Cut Agmi Rayhan Daffa Rusdiansyah Dahliah, Dahliah Dalimunthe, Wahyulita Danial Danial dermawan, ari Desi Nadalia Dewi, Emi Puspita Didik Hariyanto Didin Hafidhuddin MS Dina Ayu Fauza Dzulkhairil, Muhammad Edya Pavita Dhawi Efendi Zalukhu Eka Agustina, Eka Emiel Salim Siregar Endin Mujahidin Eni Murdiati Envilia Rahmadhani Widjaya Erlangga Erlangga Ernan Rustiadi Eryc Fachruddin Fachruddin Fadilah, Risma Nur Fahrul Rahman Fajar Kurniawan Fani Novita Setianingsih Farah Aulia Farah Aulia, Farah Farel Rahmadani Farid, Ahmad Salman Fatimah, Sukma Fauziah, Riska Fermidera, Icha Fitrya, Annisa Fritz Akhmad Nuzir Gede Yudi Swastika Gendhi Haris Gunarso Primada Aji Gusrika, Revy Haerun Ana Haliza, Alfa Halomoan, Sutan Hanafi Hanafi Handayani, Agustuti Hanik Liskustyawati, Hanik Harmoko, Joycelyn Hartati Hartati Hasan Hasibuan, Putri Yupa Hidayat Pawitan Hidayat, Farhan Hisyam, Shaniza Husain, Ahmad Husdayanti, Noviana I Putu Eka Juliantara Ibrahim, Abubakar Tijjani Iing Pamungkas Ikhsan Ikhsan Ilham Juliwardi Imansuri, Febriza Indah Sari, Lily Nur Indra Rizki Pratama Indriani Ingas Sri Anjani Irawan, Heri Tri Irdika Mansur Irfansyah Irhannudin, Muhammad Irmawati Irmawati Irmawati Irna Suriati Irwan Suwandi Irwansyah Irwansyah Isabna Maghfirotus Safitri Isfanda, Isfanda Iskandar Iskandar Ispihan, Muhammad Jayadi, Imran Jerry, Jerry Juliwardi, Ilham Junaidi, Juna Junai Kanita Khoirun Nisa Khairuna Khairuna Khalimatus Sa'diyah Khanista, Nathania Fedora Rena Kholili Hasib, Kholili Khursatul Munibah Khusnul Khatimah Hasrun Kurniawan, Jasen Kurniawan, Lalu Bisma Haris Kurniawan, Wakhid La Juanda Laylan Syafina Leni Handayani Lestari, Dwi Indah Lubis, Rusdi M. Sarjan, M. M. Yanuar J. Purwanto Maharani, Nyimas Desinta Aish Mahardika Abdi Prawira Tanjung Manurung, Widya MARDIANA Maryamah Maryati Bachtiar Maulana, Muhammad Farhan Maulana, Saddam Mhd. Rofi Febrian Miladia Nur Kamilah Moch. Romli Muh Zuljalali Walikram Muhamad Delfiere Alfarizi Muhammad Ali Hasan Lubis muhammad Anwar Sani Muhammad Arsyad Suyuti Muhammad Husein Muhammad Rusydi H. Muhammad Sangkot Pangidoan Nst Muhammad Usman, Muhammad Muhammad Walid Muhammad Yusuf Ariyadi Muhlisah Lubis Mukhlis, M. Sholahudin Mukhtar, Icha Febriani Munawara Murhaban Murhaban Murhaban Mutia Farida, Mutia Muzakir Nadya Zia Ulfa Nafila, Maisya Ngudiantoro . Nica Astrianda Ningsih, Atria Nirmawan Nirmawan Nirwan Syafrin Nofiani, Julia Nova Tri Romadloni Novia Khasanah, Novia Nur Hasaniyah Nurhalisa Khairani Nurhasanah Nasution, Nurhasanah Nursyam Nursyam Nurul Fadilah Aswar Nurul Hasanah Nurul Rahmawati Nurwijayanti Okta Ainita Okta Wulandono Oktafiani, Wiwi Oktaviani, Niken Dwia Padli Rizki Aprialdi Pamungkas, Arifin Zidan Penggayuh, Dinda Perani Rosyani Phang, Raymond Prasetya, Rendi Pratama, Muhammad Agung Prayogi, Dimas Priandi, Fajar Putra Purnandi, Mirza Purwaningsih, Anggun Puspita, Gita Puspitasari, Della Putra, Sony Adiya Putri Apriliya Putri Maharani, Karina Putri Pebrianti Putri Rizqiyah Putri Sofina Naharina Putri Yulianti Putri, Areefa Zahira Putri, Cut Rossa Putri, Nadila Ayu Qomari, Nur Rachmah, Sitti Rafik, Rafik Rahimun, Farhan Bagus Rahmayana, Nadiya Rahmiani Rahim Ramadhani, Sri Febrina Raniah, Nadhifah Rauhulloh Ayatulloh Khomeini Noor Bintang Renaldi, Willy Rezky Aryadi Mihdar Rhamdhani, Noval Rian Ramadhan Ridho Ananda Rido Ramaditia Riky Ardian, R Rimbawati Rinaldi, Kelvin Riska Riski Ananda, Riski Riski Yoga Saputra Riswanto Riswanto Riswanto riza ulhaq Rizka Ar Rahmah Rizki Surya Permana Robiyanto H. Susanto Rudi Gunawan Rukmana, Rika Ruslan Ruslan Sabila, Salma Safira Sukma Hanjani Sahrupi Sakinatuz Zahro Saleh, Khoirul Alfian Sandra Sandra Saniinah, Siti Nur Sanusi Sanusi Sanusi Saputri, Arliani Saraswati, Dyah Ayu Sari Fitri Sari Wulandari Sari, Masita SARI, MITA Sarumpaet, Irvan Sa’adah, Rizma Kholifatus Setiadi, Heri Shofura, Syifa Sholihah, Faizatun Siagian, Ramadhan Simbala, Wardiyanto Sirajuddin Saleh Siregar, Fadhila Hidayatika Siregar, Lailatun Nur Kamalia Siska, Fira Ilfia Siti Aminah Harahap siti rodiah Sitompul, Juliana Sari Br Sitorus, Andreansyah Sitti Habibah Sofia Sofia, Sofia Sofiyanurriyanti Sri Widoretno Srihandayani, Susy Subiantoro, Palacheta Subies SUDARMAJI SUDARMAJI Suhara, Shakila Putri Suhendra Suhendra Suhendra, Rivansyah Sulistiani Sulistiani, Sulistiani Sumarlin Mus Sunjaya, Robin Sunlinawati, Henny Suryadi Suryadi Suryadi Suryadi SURYANI Syaeful Anas Aklani, Syaeful Syahputra Tarigan, Hikmat Syaiful Anwar Syamsu Rijal Syamsurijal Basri Syukran Akbar, Syifa Mahmud Taqiya Zahrowain Taqwan Thamrin Tarigan, Elvina Taufiqurrochman, R Tauhida, Sarah Tia Tanjung Tjahyadi, Surya Tri Isnaeni Ades Ria Trimulyanto, Athoriq Ulva Ria Irvan Umaya, Rahmi Untung Sudadi Uswatun Hasanah Vebri Sugiharto Vita, Nur Vivi Yanti Sinurat, Asri Wahira Wahira Wahira Wahyu Iskandar Wahyudi, Angga Wardani, Suci Widodo, Sri Insaf Wijayana, Ivan Wiwik Setiyani Wiwin Susanty Wiyandi, Wiyandi Wulandono, Okta Wulansari, Isma Yossida, Jessica Famia Yulianti, Andi Yullyzar Yullyzar Yustian Yustian Zakiyah, Nadiya Fikriyatus Zulfrizal, Muhammad Zulheddi, Zulheddi