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All Journal Tadulako Journal Sport Sciences And Physical Education Publikasi Pendidikan Students´ Journal of Economic and Management Intelektualita Monex: Journal of Accounting Research Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Basicedu JURTEKSI Jurnal Teknologi Terapan Jurnal Review Pendidikan dan Pengajaran (JRPP) EVOLUSI : Jurnal Sains dan Manajemen Jurnal Kejaora (Kesehatan Jasmani dan Olahraga) JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan JURNAL MEDICAL JURNAL ILMIAH FEASIBLE (JIF) Judika (Jurnal Nusantara Medika) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Ilmiah Kesehatan Rustida Indonesia Berdaya Sentra Cendekia JURNAL ABDIMAS TRIDHARMA MANAJEMEN Jurnal Computer Science and Information Technology (CoSciTech) Dynamic Management Journal Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal PKM Manajemen Bisnis Jurnal Keperawatan Bulletin of Pedagogical Research NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Proceedings Series on Physical & Formal Sciences MAUIZHAH JURNAL KAJIAN KEISLAMAN Journal Of World Science Jurnal Olahraga Pendidikan Indonesia (JOPI) Informatics and Computer Engineering Journal Jurnal PRIMED:Primary Education Journal atau Jurnal Ke-SD An Jurnal Cakrawala Ilmiah Indonesian Journal of Informatic Research and Software Engineering Jurnal Basicedu Jurnal Pepadu Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Jurnal Ilmu Sosial dan Humaniora Indonesian Research Journal on Education West Science Interdisciplinary Studies Jurnal Abdimas Jatibara West Science Interdisciplinary Studies Indonesian Journal of Community Empowerment Jurnal Keperawatan Profesional Konstruktivisme : Jurnal Pendidikan dan Pembelajaran ABDIMAS Iqtishadia JI-KES (Jurnal Ilmu Kesehatan)
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PENINGKATAN KONDISI FISIK MELALUI PEMBELAJARAN SENAM PUTRI ANGGOTA UNIT KEGIATAN MAHASISWA AEROBIK UNIVERSITAS NADHLATUL ULAMA SURABAYA Sunanto, Sunanto; Mariati, Pance; Rusdiyanto, Nurholis
Konstruktivisme : Jurnal Pendidikan dan Pembelajaran Vol 11 No 2 (2019): Juli 2019
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/konstruk.v11i2.712

Abstract

This research aims at investigating the improvement of physical condition of members of Student Activity Unit (UKM) of women aerobic gym in Universitas Nahdhlatul Ulama Surabaya (UNUSA) through aerobic gym learning. This research adopted quantitative approach through descriptive method to describe physical condition of UKM members of women aerobic gym that included: endurance of heart muscle, arm muscle, and stomach muscle, and flexibility. Sample of this study engaged 20 students of women aerobic gym of UNUSA. Results revealed that90% of the students had very low heart muscle endurance. 80% of the students had low arm muscle endurance, whereas 20% of the students’ arm muscle endurance was very low. 65% of the students had adequate stomach muscle endurance, while 35% of the students had low stomach muscle endurance. 40% of the students had low flexibility, while 60% of the students had very low flexibility. Aerobic gym learning needs to be done gradually and well programmed by following frequency standard, intensity, and training tempo. To achieve a good physical condition, portion of physical training must suit the possessed skills.
Advanced tourist arrival forecasting: a synergistic approach using LSTM, Hilbert-Huang transform, and random forest Mukhtar, Harun; Remli, Muhammad Akmal; Mohamad, Mohd Saberi; Wan Salihin Wong, Khairul Nizar Syazwan; Ridhollah, Farhan; Deprizon, Deprizon; Soni, Soni; Lisman, Muhammad; Amran, Hasanatul Fu'adah; Sunanto, Sunanto; Ismanto, Edi
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp517-526

Abstract

An advanced synergistic approach for forecasting tourist arrivals is presented, integrating long short-term memory (LSTM), Hilbert-Huang transform (HHT), and random forest (RF). LSTM is leveraged for its capability to capture long-term dependencies in sequential data. Additional data from Google Trends (GT) is processed with HHT for feature extraction, followed by feature selection using the RF algorithm. The combined HHT-RF-LSTM model delivers highly accurate forecasts. Evaluation employs regression analysis with metrics such as root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and mean square error (MSE), highlighting the effectiveness of this innovative approach in predicting tourist arrivals. This methodology provides a robust framework for handling limited datasets and improving forecast reliability. By incorporating diverse data sources and advanced preprocessing techniques, the model enhances prediction performance, demonstrating the strong performance of RF in feature selection.
Sistem Informasi Medical Check Up Berbasis Web Pada Laboratorium Klinik Patra Medica Cilacap Saifudin, Saifudin; Sunanto, Sunanto; Imam Fadlilah, Nuzul; Dhian Pratiwi, Novita
Informatics and Computer Engineering Journal Vol 5 No 1 (2025): Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v5i1.7615

Abstract

Sistem informasi berbasis website saat ini dibutuhkan oleh berbagai bidang usaha salah satunya yang bergerak dibidang kesehatan seperti laboratorium klinik.Sistem informasi ini bermanfaat untuk menyebarkan informasi dan menarik minat masyarakat yang ingin melakukan cek kesehatan.Laboratorium Klinik Patra Medica Cilacap adalah suatu badan usaha dibidang kesehatan yang menyediakan pelayanan medical check up bagi masyarakat.Laboratorium Klinik Patra Medica Cilacap membutuhkan adanya suatu web yang dapat memberikan kemudahan bagi masyarakat yang ingin mengetahui informasi tentang Laboratorium Klinik Patra Medica Cilacap tanpa harus datang langsung ketempat. Dalam penelitian ini, menganalisis tentang bagaimana cara membangun sistem informasi medical check up berbasis web pada Laboratorium Klinik Patra Medica Cilacap dengan menggunakan metode waterfall. Website ini dibuat menggunakan PHP dan basis data MySQL. Tahapan yang dilakukan dalam pembuatan website ini dengan mengumpulkan data, menganalisis kebutuhan, membuat rancangan antar muka, basis data dirancang dengan ERD dan LRS, file spesifikasi dan implementasi, kemudian diuji dengan pengujian blackbox. Website yang telah dihosting, selanjutnya dapat diakses oleh masyarakat luas supaya lebih mengenal dan mengetahui informasi lengkap dari Laboratorium Klinik Patra Medica Cilacap
Kesejahteraan Usaha Kecil Menengah melalui Promosi Jejaring Sosial Media E-Commerce Desa Sindanglaut Kecamatan Carita Kabupaten Pandeglang Banten Ningsih, Dewi; Capriat, Zelin Ferdias; Sunanto, Sunanto
ABDIMAS Iqtishadia Vol. 1 No. 2 (2023): ABDIMAS Iqtishadia
Publisher : Prodi Ekonomi Syariah Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/iqtis.v1i2.37353

Abstract

Dalam era digital sekarang ini, pengguna internet untuk perdagangan yang semakin bertambah, sehingga mendorong munculnya bisnis baru sebagai start up bisnis. Semua bisnis tersebut bergerak dalam bidang perdagangan dan jasa yang memenuhi kebutuhan sehari-hari, mayoritas dari mereka bergerak di bidang online. Pemanfaatan perkembangan teknologi pada bidang pemasaran yang mengubah cara pengerjaan suatu pekerjaan dari cara konvensional mengarah kepada teknologi digital dengan memanfaatkan e-commerce. Namun karena keterbatasan latar belakang pendidikan dan pengetahuan yang dimiliki oleh sebagian penduduk, membuat para Usaha Kecil Menengah (UKM) ini mengalami kesulitan dalam memasarkan produk-produk hasil karya mereka. Pemasaran akan produk- produk hasil kerajinan tangan dan olahan kebun, selama ini hanya diperdagangkan melalui pasar tradisional atau dengan cara menitipkan ke warung-warung atau dengan promosi dari mulut ke mulut. Cara pemasaran yang konvensional ini membuat penghasilan mereka kurang meningkat, mengingat perkembangan teknologi saat ini makin berkembang. Tentu saja Usaha Kecil Menengah (UKM) ini akan tergerus oleh perkembangan zaman yang sudah menggunakan teknologi informasi. Melihat situasi seperti itu, maka kami mencoba untuk mengarahkan dalam membantu perekonomian Usaha Kecil Menengah (UKM) agar dapat meningkatkan penghasilan melalui pemanfaatan e- commerce sebagai solusi alternatif dalam melakukan inovasi pada strategi pemasaran dengan tujuan untuk menjaring potensi pasar yang lebih besar.
TRAFFIC FLOW DETECTION USING YOLOV4 AND DEEPSORT ON NVIDIA JETSON NANO Taufiq, Reny Medikawati; Syahril, Syahril; Rafdi, Faris Abi; Firdaus, Rahmad; Sunanto, Sunanto; Muarif, Putri Fadhilla
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 3 (2025): Juni 2025
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i3.3871

Abstract

Abstract: This study aims to develop a Deep Learning-based Traffic Flow Detector to automatically and accurately observe traffic flow. Conventional traffic observation is often conducted manually or via CCTV, but it is prone to human error and difficult to use for real-time trend analysis. In this study, the YOLOv4 method is used to detect four types of vehicles (cars, motorcycles, buses, trucks). To continuously track vehicle movement and address occlusion issues, the Deep SORT algorithm is implemented. The YOLOv4 model used is a pre-trained model and was tested on seven CCTV video recordings obtained from the official website of the Pekanbaru City Transportation Department. The system was implemented on a limited device, the Nvidia Jetson Nano, as a simulation of direct CCTV integration. Test results showed a highest precision of 98%, but the maximum accuracy achieved was only 26%. This low accuracy is influenced by several factors, including video resolution, detection model quality, and lighting conditions. Nevertheless, the system demonstrates potential to support future traffic management and engineering decisions but still requires further optimization, including improving video resolution and quality, retraining the model with a more representative local dataset, using lighter and more accurate detection models, and optimizing the tracking algorithm. Keywords: deep learning; deepsort; NVIDIA Jetson NANO; traffic flow; YOLOv4  Abstrak: Penelitian ini bertujuan mengembangkan Traffic Flow Detector berbasis Deep Learning untuk mengobservasi arus lalu lintas secara otomatis dan akurat. Observasi lalu lintas konvensional sering dilakukan secara manual atau melalui CCTV, namun rentan terhadap human error dan sulit digunakan untuk menganalisis tren secara real-time. Pada penelitian ini digunakan metode YOLOv4 untuk mendeteksi empat jenis kendaraan (mobil, motor, bus, truk). Untuk melacak pergerakan kendaraan secara berkelanjutan dan mengatasi masalah occlusion, digunakan algoritma Deep SORT. Model YOLOv4 yang digunakan merupakan pre-trained model dan diujikan pada tujuh rekaman video CCTV yang diambil dari situs resmi Dinas Perhubungan Kota Pekanbaru. Sistem ini diimplementasikan pada perangkat terbatas Nvidia Jetson Nano sebagai simulasi penerapan langsung pada CCTV. Hasil pengujian menunjukkan presisi tertinggi mencapai 98%, namun akurasi tertingginya hanya sebesar 26%. Rendahnya akurasi dipengaruhi oleh beberapa faktor seperti resolusi video, kualitas model deteksi, serta kondisi pencahayaan. Meski demikian, sistem ini menunjukkan potensi untuk membantu pengambilan keputusan dalam manajemen dan rekayasa lalu lintas di masa depan, namun masih membutuhkan optimasi lebih lanjut, seperti  peningkatan kualitas video input, pelatihan ulang model dengan dataset lokal, penggunaan model deteksi yang lebih ringan dan akurat serta pengoptimalan algoritma pelacakan. Kata kunci: deep learning deepsort; Nvidia Jetson Nano; traffic flow; YOLOv4
Manfaat Media Sosial Sebagai Alat Pemasaran bagi Pengusaha Muda di Desa Situgadung Kabupaten Tangerang Ningsih, Dewi; Sunanto, Sunanto; Capriat, Zelin Ferdias
Jurnal PKM Manajemen Bisnis Vol. 5 No. 2 (2025): Jurnal PKM Manajemen Bisnis
Publisher : Perhimpunan Sarjana Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/pkmb.v5i2.1584

Abstract

In today’s digital era, social media has become an essential tool for marketing, offering vast opportunities for young entrepreneurs to expand their businesses. However, many small business owners in rural areas still face challenges in effectively utilizing these platforms. This community service program aimed to empower young entrepreneurs in Situgadung Village, Tangerang Regency, by enhancing their knowledge and skills in social media marketing. The program took place in April 2025 at Situgadung Village and was facilitated by 12 lecturers from Universitas Pamulang. It involved 25 local MSME entrepreneurs as participants. The activities were carried out through a combination of lectures, practical simulations, interactive discussions, and question-and-answer sessions to maximize learning outcomes. Findings indicate that the participants improved their ability to use social media for promoting their products, engaging customers, and building their brand image. Many expressed greater confidence in managing digital marketing strategies and maintaining social media presence. This initiative contributed to raising awareness about modern marketing methods and is expected to support the growth and sustainability of the local businesses. Overall, the program demonstrates the critical role of social media as a marketing tool for young entrepreneurs in rural communities and offers a valuable framework for similar community empowerment efforts.
Edukasi Literasi Keuangan dalam Membangun Fondasi Investasi Dini Leisthari, Fepi; Handayani, Tika; Sunanto, Sunanto; Aprini, Hidayah; Suharmanto, Ardelia; Napitupulu, Rizal Afif A.; Yogasnumurti, Raras Risia
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 3 (2025): Abdira, Juli
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i3.862

Abstract

Financial literacy education should ideally be introduced from an early age during school years. Children need to be guided and accustomed to good financial behaviors. This community service research aims to evaluate the effectiveness of financial literacy education in fostering an early investment foundation among students of SMK Muhammadiyah Pangkalan Balai. The low level of financial literacy among the younger generation, particularly in the context of investment, remains a relevant challenge amidst the dynamics of the digital economy. Employing interactive socialization and counseling methods, this program involved 65 twelfth-grade students. Pre-test and post-test results showed a highly significant increase in knowledge (average gain score of 35.8 points), accompanied by positive changes in students' attitudes and interest in early investment. The program's novelty lies in its emphasis on "financial adaptability" and the integration of entrepreneurial values. It is concluded that financial literacy education with an interactive counseling approach is highly effective in equipping students of SMK Muhammadiyah Pangkalan Balai with practical financial competencies for the future.
Penerapan Algoritma Decision Tree Dengan Optimasi Parameter Dalam Memprediksi Reaksi Autoimun Akibat Obat saifudin; Fadlilah, Nuzul Imam; Nouvel, Ahmad; Sunanto, Sunanto
Informatics and Computer Engineering Journal Vol 5 No 2 (2025): Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v5i2.9157

Abstract

In the latest developments in medical technology, machine learning, especially the application of the Decision Tree algorithm, is becoming an increasingly popular approach for large-scale health data analysis. Decision Tree is known for its ability to identify hidden patterns in clinical data with interpretation that is easy for medical professionals to understand. Through the process of parameter optimization, the accuracy of the model can be significantly improved, allowing for more precise predictions of possible autoimmune reactions due to the use of certain drugs. The use of Decision Tree-based predictive models with optimized parameters not only strengthens clinical decision-making, but also paves the way for more personalized and precise treatment practices. Parameter optimization is used for the execution of all parameter variations that are set through its subprocesses. The final result recorded an optimal predictive performance of 77.50% with 98.28% more precision for the "true=0" class compared to the "true=1" class.
PERANCANGAN SISTEM PENGINPUTAN DAN PENYIMPANAN ARSIP DIGITAL DATA JAMAAH UMROH BERBASIS MICROSOFT ACCESS PADA PT DAKWAH NADA WISATA (DNW TOUR) Izzatunnisa, Nazwa; Purwati, Purwati; Sunanto, Sunanto
MAJU : Indonesian Journal of Community Empowerment Vol. 2 No. 5 (2025): MAJU : Indonesian Journal of Community Empowerment, September 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/maju.v2i5.1788

Abstract

This research aims to develop a digital archiving system for managing umrah pilgrims’ data at PT Dakwah Nada Wisata (DNW Tour), utilizing Microsoft Access as the development platform. The study employs a Research and Development (R&D) approach, guided by the ADDIE model comprising Analysis, Design, Development, Implementation, and Evaluation phases. The system is designed to facilitate data entry for pilgrims, registration, payments, departure schedules, automated reporting, and integrated data retrieval. The implementation results indicate that the system is effectively operable by administrative personnel and serves as a reliable replacement for the previously used manual archiving method. Empirical testing reveals a substantial improvement in data retrieval efficiency, reducing the average search time from 3–4 minutes to under one minute. The availability of a user manual further enhances the system’s usability, enabling staff to operate it independently. Overall, the developed digital archiving system significantly improves data organization and accuracy, thereby strengthening administrative processes at DNW Tour.
Pengaruh Faktor Individu dan Lingkungan Terhadap Keputusan Mahasiswa Menjadi Wirausaha Studi Kasus Pada Mahasiswa Universitas Pamulang Sunanto, Sunanto
JURNAL ILMIAH FEASIBLE: Bisnis, Kewirausahaan dan Koperasi Vol 1 No 1 (2019): JURNAL ILMIAH FEASIBLE (JIF)
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/fb.v1i1.2019.1-8.2261

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh faktor individu dan lingkungan baik secara parsial dan simultan terhadap keputusan menjadi wirausaha pada Mahasiswa Universitas Pamulang. Model penelitian bersifat asosiatif kuantitatif dengan pengujian hipotesis. Populasi dalam penelitian ini adalah Mahasiswa Unpam yang berwirausaha dan jumlah sampel berdasarkan Slovin berjumlah 100 (digenapkan), sampling dengan teknik aksidental Metode pengumpulan data melalui kuesioner dengan skala Likert, Pengumpulan data melalui kuesioner, observasi dan studi kepustakaan. Teknik analisis data: Uji Validitas, Uji Reliabilitas, Uji asumsi klasik, Uji Regresi Linier , Uji Koefisien Determinan, Uji Parsial (Uji t) dan Uji Simultan (Uji F).  Hasil Penelitian diperoleh: (1) Terdapat pengaruh yang siginifikan antara faktor individu terhadap keputusan menjadi wirausaha pada mahasiswa Universitas Pamulang. Model regresi linier Y = 20,055+0,726Xi dengan nilai korelasi r =0,726 (korelasi kuat), serta nilai t hitung 10,439 >t tabel 1,985 dengan nilai sig.0,000 (<0,05). (2) Terdapat pengaruh yang siginifikan antara faktor lingkungan terhadap keputusan menjadi wirausaha pada mahasiswa Universitas Pamulang. Model regresi linier Y = 7,956+0,705X2 dengan nilai korelasi r =0,705 (korelasi kuat), serta nilai t hitung 9,845>t tabel 1,985 dengan nilai sig.0,000 (<0,05). (3)Terdapat pengaruh yang siginifikan antara faktor individu dan lingkungan secara simultan terhadap keputusan menjadi wirausaha pada mahasiswa Universitas Pamulang. Model regresi linier berganda Y = 7,002+0,486X1+0,441X2, dengan nilai korelasi berganda R =0,814 (korelasi sangat kuat), dan nilai koefisen determinasi adjusted R² sebesar 0,656 serta nilai F hitung 95,575>F tabel 1,43 dengan nilai sig.0,000 (<0,05). Kata Kunci: Faktor Individu; Faktor Lingkungan,Keputusan; Mahasiswa Unpam
Co-Authors Afib Rulyansah Afkar, Muh Tanwirul Ahmad MAULANA Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Taufik Ainia, Faridah Zahrotul Akhwani Akhwani, Akhwani Al Amien, Januar Alawiyah, Saudatul Albertus Sewianto Alfiyah, Inayah Alfiyah, Zuraida Nisaul Almaniar, Siska Amran, Hasanatul Fu'adah Andini Hardiningrum Anggraini, Mirna Anshori, Maz Isa Aprilian, Pingkan Aprini, Hidayah Arabiatul Adawiyah, Arabiatul Arfinda, Cantika Meyrisqi Arianti, Dini Arif Rahman Hakim Arifa, Fiftine Salma Asep Sulaeman, Asep Asmarani, Ratih Asmaul Lutfauziah Azizah, Nuryana Elia Bambang Priyanto, Bambang BERDA ASMARA Capriat, Zelin Ferdias Decky Aditya Zulkarnaen Dede Kusmana Dedi Setiawan Deprizon, Deprizon Dewi Ningsih, Dewi Dewi, Anis Kusuma Dhian Pratiwi, Novita Djazilan, M. Sukron Djazilan, Syukron Dukiyah, Dukiyah Dwi Fauziyah, Nabilah Edi Ismanto Eka Wardani, Aris Farisha Andi Baso Fathir, Amrul Huda Ferry Sugara, Ferry Firdaus, Dian Nita Gusmaniarti, Gusmaniarti Hady, Hamdy Haikal, Zikrul Handayani , Erna Handayani, Erna hanifah, iis Harun Mukhtar Hasibuan, Rahmawaty Hidayati, Tutik Huda, Muchamad Samsul Huda, Muchamad Samsul Huda, Samasul Izzatunnisa, Nazwa Karsid, Karsid Kasiyun, Suharmono Khasanah, Uswatul Kumalasari, Shofi Eka Kusyairi, Achmad Laily Indrayanti Yusuf Laily, Izzatul Leisthari, Fepi Lestari, Novianti Kamla Lestari, Noviyanti Kartika Dwi Lisman, Muhammad maharani, krisnina Mahmudah, Faridatun Nurul Manoefris Kasim Mariani Mariani Mariati, Pance Maryani, Ina Mashuri Mashuri Mauludiya, Melynda Mikrad mikrad Mispani, Mispani Mohamad, Mohd Saberi Moyo, Kgomotso Muarif, Putri Fadhilla Muhamad Sardiman Muhammad Nur, Hidayat Muhammad Thamrin Muhammad Thamrin Hidayat Mukti, Fiqhri Nugroho Mulya, Yusha Tri Musarofah, Musarofah MUSLIMIN IBRAHIM Mustofa Mustofa N. Rusnaeni Nafi'ah, Nafi'ah Nafiah, Nafiah Nafolion Nur Rahmat, Nafolion Nur Najih, Arjun Nandana, Pandu Ishaq Napitupulu, Rizal Afif A. Nashirin, Rohmatun Ng Phi Shi Nur Hamim Nurfita, Roro Nurismalatri, Nurismalatri Nurmin Arianto Nusantara, Ana Fitria Nuzul Imam Fadlilah Praptiningtiyas, Ariska Purnaning, Dyah Purwati Purwati Puspitarini, Renny Candradewi Putri, Novitya Arnika Rafdi, Faris Abi Rahayu, Dewi Widiana Rahmad Firdaus Ramawal, Jon Rangkuti, Muhammad Al-Ikhsan Remli, Muhammad Akmal Ridhollah, Farhan Rofan Aziz Rohadi Rohadi Rohmah, Sonia Jasmine Rohmah, Syifaur Rusdiyanto, Nurholis Safariningsih, Ratna Tri Hari Saifudin Saifudin Saifudin Salsabiila, Iffah Sari, Galuh Mayang Sari, Maftuhatul Ulumiyah Kumalasari Sarra, Hustna Dara Shabrina, Nina Sholihah, Nasihatus Siti Aisyah Soni Sri Hartatik Suciati Suciati Suharmanto, Ardelia Suryadi Imran, Suryadi Susanto, Rudi Umar Syahril Syahril Syamsul Ghufron Taufiq, Reny Medikawati Tika Handayani Tutik Ekasari Vadlya, Vadlya Maarif Valia, Virna Githa Veriady Purba, Jan Horas Wahyu Nur Chalamsa Wahyusari, Shinta Wan Salihin Wong, Khairul Nizar Syazwan Wardika, Wardika Wicaksono, Dedi Yogasnumurti, Raras Risia Yuly Peristiowati Zahra, Fira May Zahro, Ma’rifatul Lailatus Zuhan, Arif