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All Journal TEKNIK KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan JURNAL AKUNTANSI DAN AUDITING Department of Naval Architecture Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Jurnal Ilmu-Ilmu Perikanan dan Budidaya Perairan JMM17: Jurnal Ilmu Ekonomi dan Manajemen Rekayasa Mesin Sinergi Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Jurnal Teknologi Informasi dan Ilmu Komputer Fakultas Ekonomi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah Universitas Batanghari Jambi Syntax Literate: Jurnal Ilmiah Indonesia JURNAL ILMIAH INFORMATIKA Elipsoida : Jurnal Geodesi dan Geomatika Jurnal Rekayasa Hijau JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) MEDIA INFORMASI Acuity : Journal of English Language Pedagogy, Literature and Culture JURNAL ILMIAH MAKSITEK Community Development Journal: Jurnal Pengabdian Masyarakat Journal of English Language Teaching and Learning (JETLE) Jurnal Pangan, Gizi dan Kesehatan Abrahamic Religions: Jurnal Studi Agama-Agama Journal of Aesthetics, Creativity and Art Management Jurnal Ilmu Multidisplin Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Indonesia Sosial Sains Medani : Jurnal Pengabdian Masyarakat Asas wa Tandhim: Jurnal Hukum, Pendidikan, dan Sosial Keagamaan Jurnal Pengabdian Masyarakat Bangsa JHT: Journal of Hospitality and Tourism Journal of Applied Nutrition and Dietetic The Indonesian Journal of General Medicine Siber International Journal of Education Technology Civilia: Jurnal Kajian Hukum dan Pendidikan Kewarganegaraan Journal of Green Science and Technology Warta Penelitian Perhubungan Siyasah Dusturiyah: State Law Review
Samuel Samuel
Departemen Teknik Perkapalan Fakultas Teknik, Universitas Diponegoro
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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PERSEPSI WISATAWAN DAN PREFERENSI WISATAWAN TERHADAP PENGELOLAAN OBJEK WISATA PANTAI PALANGPANG, GEOPARK CILETUH, KABUPATENSUKABUMI Wulandari, Ardila; Samuel, Samuel
Journal of Hospitality and Tourism Vol 4, No 1 (2025): Journal of Hospitality and Tourism
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jht.v4i1.9408

Abstract

Wisatawan Pantai Palangpang merasa pengelolaan pantai kurang baik meliputi kebersihan pantai yang buruk, toilet yang terbatas, jalan yang ditempuh cukup jauh dengan kurangnya penerangan, dan pengelolaan pantai yang belum baik. Penelitian ini menggunakan metodologi asosiatif dan kuantitatif untuk menguji bagaimana persepsi dan preferensi wisatawan memengaruhi pengelolaan Pantai Palangpang. Kuesioner diberikan kepada 100 responden yang pernah mengunjungi Pantai Palangpang pada tahun 2022–2024. Validitas, reliabilitas, normalitas, multikolinearitas, heteroskedastisitas, koefisien korelasi, koefisien determinasi, regresi linier berganda, uji F, dan uji T digunakan untuk analisis data. Penelitian ini menolak Ho dan menerima H1, yang menunjukkan bahwa persepsi wisatawan individu memiliki dampak signifikan terhadap pengelolaan objek wisata (nilai-p 0,001, nilai-t 0,05). Menerima H2 dan menolak Ho, preferensi wisatawan individu memiliki pengaruh signifikan terhadap pengelolaan objek wisata (0,002, t 0,05). Semua variabel independen, termasuk persepsi dan preferensi pengunjung, memiliki dampak bersama terhadap variabel pengelolaan Pantai Palangpang, yang menunjukkan H3 diterima pada 0,001 dan Signifikansi F 0,05.
ANALISIS TINGKAT KEPUASAN PELANGGAN TERHADAP PELAYANAN CONTACT CENTER PLN 123 MENGGUNAKAN METODE PIECES Shosa, Andi; Pusparini, Nur Nawaningtyas; Kharisma, Nanda; Samuel, Samuel
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10125

Abstract

As the demands for quality service in the digital era increase, strategic companies such as PT. PLN (Persero) utilize Contact Center 123 as the front line of communication with customers. The background of the success of other digital innovations such as the PLN Mobile application which has been proven to significantly increase customer satisfaction, emphasizes the urgency of continuous evaluation of all service channels. This study aims to measure the level of customer satisfaction with the PLN 123 Contact Center service and provide strategic recommendations for improving quality in the future. The method used is a comprehensive analysis with the PIECES framework, which evaluates six dimensions: Performance, Information, Economy, Control, Efficiency, and Service. The results of the study showed very satisfactory system performance, with all dimensions achieving a level of conformity above 90%. The Control aspect obtained the highest score (94.81%), while the Efficiency aspect was recorded as the lowest (90.26%). Although the overall performance was very good, these findings indicate that there is clear room for improvement in the efficiency area to improve the customer experience.
PREDIKSI MAHASISWA INSTITUT SOSIAL DAN TEKNOLOGI WIDURI JAKARTA BERPOTENSI DROP OUT MENGGUNAKAN ALGORITMA NAÏVE BAYES Sultan, Sultan; Pusparini, Nur Nawaningtyas; Kharisma, Nanda; Samuel, Samuel
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10310

Abstract

Universities are responsible for producing quality graduates and reducing dropout rates (DO), a serious challenge for the Widuri Institute of Social and Technology (ISTEK). This phenomenon has a negative impact on the quality of education and accreditation, making early identification of students who have the potential to drop out (DO) very crucial. This study aims to apply the Naïve Bayes algorithm to predict the potential for dropout (DO) of ISTEK Widuri students based on data on the activities of the 2021, 2022, and 2023 intakes. Naïve Bayes has proven effective in classifying students at risk of dropping out (DO). The Semester Credit Unit (SKS) attribute is the most dominant indicator, students with low SKS have a high potential for dropping out (DO). Model performance varies for each batch, in the 2021 batch it reached 90% accuracy (100% DO precision, 40% recall), the 2022 batch showed 93.75% accuracy (100% DO precision, 60% DO recall), and the 2023 batch had 86.67% accuracy (100% DO precision, 33.33% DO recall). This model is very good at validating students who are safe from DO (100% recall of Not DO in all batches). Even so, the model still needs to be improved so that it can find all students who are at risk of dropping out (DO) as a whole. The prediction results for students with the potential for DO at ISTEK Widuri Jakarta are expected to support more optimal prevention efforts and contribute to improving the quality of education.
ANALYSIS OF THE EFFECT OF WATER SALINITY ON THE IMPRESSED CURRENT CATHODIC PROTECTION PHOTOVOLTAIC (ICCP PV) SYSTEM Budiarto, Untung; Samuel, Samuel; Yunior, Tri Rangga; Frestiqauli, Santi; Ahmad, Syaiful Tambah Putra
Jurnal Rekayasa Mesin Vol. 16 No. 2 (2025)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v16i2.1818

Abstract

Cathodic protection is one of the methods used to protect metals from corrosion. This corrosion can occur due to the influence of the surrounding environment, such as salinity levels. ICCP PV is a cathodic protection method by flows direct electric current from the conversion of solar radiation. The purpose of this study is to determine the effect of water salinity on the capacity of PV components in the ICCP system. The type of material used in this research is SS 400 steel with salinity variations of 0‰, 30‰, and 35‰. The tests carried out are salinity test and load power test by considering metal potential. The experimental results show that 35‰ salinity ICCP requires the highest power of 13.09 watts. Calculation of PV component capacity at 35‰ salinity ICCP requires the largest capacity, which is 170 Wp PV module and 75 Ah battery for 14.68 m² plate area. Based on this, it is concluded that the higher the salinity of water, the greater the power required for the ICCP system, thus affecting the capacity of PV components for the ICCP system.
Pengaruh Skala Load Feedback Terhadap Kinerja Mesin Gas Dengan Sistem Pembakaran Lean Burn Samuel, Samuel
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i9.61473

Abstract

Load feedback merupakan sinyal analog yang merepresentasikan daya aktif aktual dari generator, yang dikirimkan ke sistem kontrol mesin sebagai umpan balik untuk dibandingkan dengan nilai load reference. Dalam sistem pembakaran lean burn, perubahan skala load feedback berpotensi mempengaruhi air-fuel ratio (AFR) yang telah diprogram dalam peta AFR sehingga berdampak terhadap performa mesin. Penelitian ini bertujuan menganalisis pengaruh variasi skala load feedback terhadap performa mesin gas W20V34SG. Pengujian dilakukan pada tiga tingkat beban generator (50%, 75% dan 88%) dengan tiga skala modifikasi load feedback (+1%, +3% dan +5%). Parameter yang dianalisis meliputi mean effective pressure (MEP), break mean effective pressure (BMEP), air excess coefficient (λ) dan efisiensi termal mesin (ηth), secara pengecekan terhadap zona aman operasi pada diagram lean burn combustion. Hasil menunjukkan bahwa peningkatan skala load feedback hingga 5% pada beban 88% menghasilkan peningkatan efisiensi termal dari 39.31% menjadi 39.67%, peningkatan BMEP dari 1975.36 kPa menjadi 1992.84 kPa, dan penurunan λ dari 2.28 menjadi 2.1, tanpa melampaui batas aman operasi mesin.
Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis Samuel, Samuel; Prilianti, Kestrilia Rega; Setiawan, Hendry; Mimboro, Prasetyo
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 7: Spesial Issue Seminar Nasional Teknologi dan Rekayasa Informasi (SENTRIN) 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022976772

Abstract

Perkebunan sawit merupakan salah satu bisnis yang diminati oleh industri baik di dalam maupun luar negeri. Perkebunan sawit di Indonesia dengan lahan yang sangat luas merupakan sumber pendapatan negara yang potensial. Namun, proses monitoring menjadi tantangan tersendiri jika dilakukan secara manual. Oleh karena itu diperlukan terobosan inovasi agar proses monitoring dapat dilakukan secara efisien namun tetap akurat. Teknologi penginderaan jauh dapat diterapkan sebagai solusi. Dengan menggunakan Unmanned Aerial Vehicle (UAV) citra perkebunan dapat direkam. Selanjutnya dengan implementasi pengolahan citra digital dan kecerdasan buatan, citra dapat dimanfaatkan untuk melakukan monitoring berdasarkan warna dari pohon sawit. Tahap pertama yang diperlukan dalam akuisisi data untuk berbagai keperluan monitoring adalah deteksi pokok pohon sawit secara automatis. Pada penelitian ini didemonstrasikan penggunaan metode Convolutional Neural Network (CNN) dengan arsitektur ResNet-34 dan ResNet-50 untuk membangun model deteksi pokok pohon sawit dari citra UAV perkebunan sawit PTPN IV. Tujuan deteksi pokok pohon adalah untuk melakukan analisis lanjutan terkait kondisi pohon sawit seperti status nutrisi, kesiapan panen dan indikasi adanya serangan penyakit. Model ResNet yang telah dilatih berhasil melakukan proses deteksi pokok pohon sawit secara automatis dengan akurasi training sebesar 84% dan akurasi testing rata-rata sebesar 71%. Metode deteksi diterapkan dengan menggunakan perangkat lunak sistem informasi geografis. AbstractOil palm plantations are one of the businesses that are in demand by both local and international industries. Oil palm plantations in Indonesia with very large lands are a very potential source of income for the country. However, the monitoring process related to disease attack and nutritional status becomes a challenge if it is done manually. Therefore, innovation breakthroughs are needed so that the monitoring process can be carried out efficiently but still accurately. Remote sensing technology can be applied as a solution. By using Unmanned Aerial Vehicle (UAV) plantation images can be recorded. Furthermore, with the implementation of digital image processing and artificial intelligence, the image can be used to monitor based on the color of the palm tree. The first step needed in image processing for various monitoring purposes is the automatic detection of oil palm trees. This study demonstrates the use of the Convolutional Neural Network (CNN) method with the ResNet-34 and ResNet-50 architectures to build a palm tree principal detection model from UAV images of PTPN IV oil palm plantations. The purpose of tree detection is to carry out further analysis related to the condition of oil palm trees such as nutritional status, harvest readiness and indications of disease attacks.. The ResNet model that has been trained has successfully carried out the process of detecting oil palm trees automatically with training accuracy of 84%, testing accuracy of 73% and 69%. The detection method is applied using geographic information system software.
Evaluasi Karakteristik Deep-v Planing Hull Dengan Menggunakan Metode Moving Grid Mesh Samuel, Samuel; Iqbal, Muhammad; Trimulyono, Andi; Purwanto, Dedi Budi; Ariani, Betty
Warta Penelitian Perhubungan Vol. 34 No. 1 (2022): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v34i1.1591

Abstract

Karakteristik Deep-v planing hull sangat dipengaruhi oleh bentuk dan kecepatan kapal. Bentuk pada haluan kapal akan mempengaruhi performance kapal pada saat kondisi air tenang dan gelombang. Semakin tinggi kecepatan kapal maka akan semakin sulit untuk memprediksi karakteristik kapal tersebut. Pada penelitian ini akan menggunakan pendekatan Computational Fluid dynamic (CFD) dengan menggunakan metode moving grid mesh untuk mengevaluasi karakteristik kapal pada saat kondisi air tenang dan gelombang regular. Perhitungan numerik menggunakan persamaan RANS (Reynolds-Averaged Navier-Stokes) dengan model turbulensi k-ε untuk memprediksi aliran turbulen. Hasil simulasi pada kondisi air tenang hambatan menunjukkan trend yang baik pada kecepatan rendah, sementara pada kecepatan tinggi ada perbedaan yang signifikan. Pada kondisi gelombang regular hasil simulasi numerik masih perlu pendekatan yang lebih baik.
Analisis Pengaruh Jumlah Bilge Keel terhadap Gerakan Rolling pada Kapal Patroli 14 m Widyatmoko, Ari; Samuel, Samuel; Manik, Parlindungan; Trimulyono, Andi
Warta Penelitian Perhubungan Vol. 33 No. 1 (2021): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v33i1.1667

Abstract

AbstrakKapal Patroli merupakan kapal yang memiliki ukuran yang relatif kecil, namun memiliki kecepatan yang cukup tinggi. Bentuk kapal yang kecil akan berpengaruh terhadap gerakan rolling kapal, sehingga menarik untuk dibahas secara mendalam pengaruh pemasangan bilge keel terhadap gerakan kapal. Penelitian ini akan menganalisis pengaruh bilge keel yang ditambah jumlahnya menjadi 2 pasang dan 3 pasang terhadap efek gerakan rolling kapal agar dapat memperbaiki performa kapal menjadi lebih baik. Model kapal patroli yang telah didesain akan dianalisis menggunakan metode BEM (Boundary Element Method) yang terintegrasi untuk mendapatkan nilai rolling pada setiap model yang dianalisis. Pada penelitian ini, didapatkan kesimpulan bahwa penambahan jumlah bilge keel akan menambah RMS rolling sebesar 11-50% pada kecepatan rendah, namun dapat mengurangi RMS rolling sebesar 7-28% pada kecepatan tinggi.Kata kunci: Bilge Keel, Kapal Patroli, Olah Gerak Kapal, Rolling.AbstractA Study on the Effects of Bilge Keel Number on 14 m Patrol Boat’s Rolling Motion: Patrol boats can move at such high speed despite their relatively small size. This relatively small size will affect its rolling motions, hence the effect of bilge keel installation on ship motions is an interesting topic to discuss. In this study, the effect of adding bilge keel pair to 2 and 3 pairs of bilge keel on ship’s rolling motions was studied so that the ship’s performance becomes more optimal. The patrol boat model that had been designed was studied using integrated BEM (Boundary Element Method) to obtain each model’s rolling value. This study concluded that the addition of installed bilge keel pairs increased RMS rolling by 11-50% on low speed, but it reduced 7-28% RMS rolling at high speed.Keywords:  Bilge Keel, Patrol boats, Ship motions, Rolling.
PENGARUH RASIO LIKUIDITAS, RASIO SOLVABILITAS, RASIO AKTIFITAS, RASIO PROFITABILITAS DAN INFLASI TERHADAP HARGA SAHAM PERUSAHAN TEKNOLOGI DI BURSA EFEK INDONESIA TAHUN 2021-2023 Samuel, Samuel; Dewi, Vera Intanie
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 1 (2025): Edisi Januari - April 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i1.3886

Abstract

Pasar modal Indonesia memainkan peran yang signifikan dalam ekonomi, terutama dalam mendorong pertumbuhan sektor-sektor strategis untuk mencapai Indonesia Emas 2045. Teknologi, salah satu bidang yang termasuk dalam Bursa Efek Indonesia (BEI), mengalami penurunan harga saham yang paling drastis. Tujuan dari Studi ini adalah untuk melihat bagaimana faktor internal, yakni rasio finansial perusahaan, dan elemen eksternal, seperti inflasi, mempengaruhi harga saham sebuah perusahaan teknologi yang ada di Bursa Efek. Empat rasio keuangan utama likuiditas, solvabilitas, aktivitas, dan profitabilitas digunakan untuk melakukan analisis ini. Penelitian eksplanatori digunakan dengan menggunakan sampel dari 25 perusahaan selama tahun 2021–2023. Uji hipotesis, uji asumsi klasik, dan model regresi data panel digunakan selama proses ini. Hasilnya menunjukkan bahwa rasio likuiditas, rasio aktivitas, dan inflasi sangat memengaruhi harga saham perusahaan teknologi yang ada di Bursa Efek Indonesia pada tahun 2021–2023. Sebaliknya, rasio solvabilitas dan profitabilitas tidak memengaruhi harga saham.
Enhancing English’ speaking skill of students in Tunas Baru High School through ICT- integrated news reporting Pratiwi, Theodesia Lady; Togatorop, Sarah Ayuandri; Putri, Andien Aisyah; Samuel, Samuel; Zaki, Leil Badrah
Journal of English Language Teaching and Learning (JETLE) Vol 5, No 2 (2024): Journal of English Language Teaching and Learning (JETLE)
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jetle.v5i2.26461

Abstract

There is an increasing importance of English speaking proficiency in today's era and there comes with challenges that students face in mastering this skill. It calls the necessity of enhancing speaking skills for 21st-century learners and proposes an innovative approach— news reporting practice aided by Information and Communication Technology (ICT). The research aims to demonstrate the effectiveness of news reporting as a method to improve students' speaking abilities, leveraging ICT tools such as video creation and platforms like "Flipgrid." Various challenges inhibiting students' progress in speaking English, such as lack of confidence, pronunciation differences, limited vocabulary, and grammar issues, are discussed. The study at Jin Seung High School focuses on assessing students' speaking skills through questionnaires and implementing interventions using video-based learning facilitated by ICT tools. The research questions revolve around the potential development of speaking skills through news reporting in ICT and the impact of ICT on students' mastery of speaking skills. The findings showed that Flipgrid effectively enhances high school students' English-speaking skills by providing a time-efficient, easy-to-use platform that boosts confidence and reduces anxiety. However, further research with larger samples and objective proficiency measures is needed to confirm these findings and address technical issues.
Co-Authors A.F. Zakki Abram Hasintongan Pane Abubakar Fathuddiin ACHMAD FAUZI Achmad Mulyana Afriandy, Ariel Agung Juliarto Agung, Chris Petra Ahmad Fauzan Zakki Ahmad Fauzan Zakki Ahmad Firdhaus Ahmad Naufal Ahmad, Syaiful Tambah Putra Akbar, Rafi Akhmad Rosihan Adam Andi Trimulyono Anggrika Riyanti, Anggrika Ari Wibawa Budi Santosa Ario Restu Sratudaku Asep Kurniawan Nugraha Aulia Widyandari Aulia Widyandari Aulia Windyandari Bagas Cahya Raditya Bandi Sasmito Banjarnahor, Andrea Nanda Alfa Rizky Berlian Arswendo Adietya Bernadi Ramazini Betty Ariani Brian, Brian Cahyanti, Febriella Hawa Caroline Victorine Katemba Chandra Ahmad Venzias Dandy Kurniawan, Dandy David Adhi Prasetyo, David Adhi Davit Hermanto Dede Puspa Pujia Dedi Budi Purwanto Dian Hafiz Eko Sasmito Hadi Enky Pratama Agustian Ervin Ervin Fadhila Affianti, Maritza Fadlan Azrialsyah Fahrunisa, Ake Sita Fathuddiin, Abubakar Febrina Mantiri, Anneke Frestiqauli, Santi Glend, Glend Hadrah Hadrah, Hadrah Hari Santoso Hartono Yudo Hasan, Raden Hendry Setiawan Heri Triyanto Herli Antoni Hidayatullah, Yusuf Hizni, Alina Hulu, Guslin Hutabarat, Marcelino Gabriel I Ketut Sariada, I Ketut I Wayan Mudra, I Wayan I. K. Suastika I.K.A.P. Utama Idmi, Idmi Imam Pujo Mulyatno Irwansyah, Novi Joevero Risqy Suvica Jowis Novi B K Jowis Novi B.K K Kamal Kayza , Salwa Kesaulya, Feby Astrid Kestrilia Rega Prilianti Kharisma, Nanda Kiryanto Kiryanto Kiryanto Kiryanto Komar Priatna, Deden Koostanto, Harya Kumuda Kurniawan Teguh Martono Kusuma, Arsya Kusumajati, Wisnu Kala Leo Andri Yulius Caesar Livia Livia M Doni Indra Cahya Kurniawan M. Iqbal Mahardika Adi Dewantara Mailani, Mey Mey Maimunah Margaretha Tuti Susanti Marhadi Marhadi Mawaddah Harahap, Mawaddah Mikhael Andreas Bangun Mimboro, Prasetyo Monik Kasman Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Muhammad Luqman Hakim, Muhammad Luqman Nugraha, Ganjar Nurhalimah , Siti Nurul Aida, Siti Nuvazria Achir PANUNTUN, MAHENDRO AJI Parlindungan Manik Pasaribu, Alfeus P. S. Ponco Bagio Pamungkas Pratiwi, Theodesia Lady Purnawan, Lesna Pusaka, Semerdanta Pusparini, Nur Nawaningtyas Putri, Andien Aisyah Putri, Nabilla Ditya Rafael, Rafael Rahma, Fadillah Aulia Rahmat Prio Aprijal Ramudi Sembiring Rayvan, Rayvan Recha Hafida Ardiansyah Reyhan, Ammar Rindianti Wibowo Rizal Aripin Rizky Rahadian, Wildan Ryvando, Ryvando Sahat Parulian Sagala Saputra, Bima Saragih, Mariana Sarip, Fahmi Haddad Sarjito Joko Sisworo Sarjito Jokosisworo Setiawan, Aries Setiawan, Yohanes Ari Sharfina Farahiyah, Athayya Sholichin Sholichin, Sholichin Shosa, Andi Sihombing, Rony Sinaga, Dedy Ridoly Sipangkar, Romulus Solihin Solihin Subagio, Hertanto W. Sulistiyono, Priyo Sultan Sultan Sundoro, Aries Susilo Adjie Susilowati Susilowati Togatorop, Sarah Ayuandri Trirahayu, Dhyna Analyes Triyono, Gandung Tumonglo, Esther Epin Tungky Ari Wibowo Ulil Amriardi Untung Budiarto Unung Leoanggraini Valentino Pasalbessy Vera Intanie Dewi Wasisto Haribowo, Wasisto Wicaksono, Ardhana Widiya Avianti Widyatmoko, Ari Wilma Amiruddin Wulandari, Ardila Yahya Miharja, Denise Yopi Tri Setiadi Yunior, Tri Rangga Yusuf, Yusmardhany Zaki, Leil Badrah Zeinurrohman, Rangga Zelda, Zelda