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All Journal Pharmaciana: Jurnal Kefarmasian Indonesian Journal of Pharmaceutical Science and Technology JMM (Jurnal Masyarakat Mandiri) Jurnal Kreativitas PKM Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat JURNAL FARMASI GALENIKA JURNAL FARMASIMED (JFM) Jurnal Ners Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Media Informatika Pharmaceutical And Biomedical Sciences Journal (PBSJ) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Ilmu Medis Indonesia Journal Of Human And Education (JAHE) Jurnal Farmasi Klinik dan Sains Indonesian Research Journal on Education Madani: Multidisciplinary Scientific Journal Jurnal An-Najat: Jurnal Ilmu Farmasi dan Kesehatan Journal of Information System, Technology and Engineering Journal of Innovative and Creativity Obat: Jurnal Riset Ilmu Farmasi dan Kesehatan Borneo Journal of Pharmacy Journal of Public Health Science (JoPHS) Jurnal Kefarmasian Indonesia Science: Indonesian Journal of Science Journal of Pharmacopoeia Jurnal Ilmiah Ilmu Kesehatan World Health Digital Journal (wolgitj)
Saeful Amin, Saeful
Prodi Farmasi, STIKes Bakti Tunas Husada Tasikmalaya
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Studi Komputasional Senyawa Flavonoid Tanaman Obat sebagai Kandidat Agen Antidiabetik Amin, Saeful; Hurry, Zulfan Alfairuz Zabbady; Sumantri, Tri Adi; Fauzi, Rifqi Ahmad
Jurnal Ilmu Medis Indonesia Vol. 4 No. 1 (2024): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v4i1.4553

Abstract

Purpose: This study aimed to investigate the potential of natural flavonoid compounds brazilin, luteolin, and butein as antidiabetic agents by exploring their interactions with key molecular targets in type 2 diabetes mellitus. Methodology/approach: This research was conducted using a computational approach involving molecular docking and pharmacokinetic prediction. Docking simulations were performed using AutoDock Vina and PyRx to evaluate the binding affinity of the selected flavonoids to the enzymes ?-glucosidase, ?-amylase, and glucokinase. Results/findings: The results showed that All three flavonoids exhibited strong binding affinities to ?-glucosidase and ?-amylase, indicating their potential to inhibit carbohydrate-digesting enzymes. Conclutions: Flavonoids from medicinal plants have potential as natural antidiabetic agents by inhibiting glucose-metabolizing enzymes and modulating insulin pathways. Computational studies have shown strong target interactions and favorable pharmacokinetic profiles, although further in vitro and in vivo validation is needed. Limitations: The findings of this study were limited to in silico data, and further validation through in vitro and in vivo experiments is necessary to confirm their effectiveness and safety. Contribution: This research contributes to the field of pharmaceutical sciences and natural product-based drug development, providing valuable insights for researchers and healthcare professionals interested in alternative therapies for diabetes management.
Perkembangan Terkini dalam Desain Obat Berbasis Kimia Medisinal Amin, Saeful; Heryanto, Popih; Athaya, Rahil; Fitri, Nabila Ainul
Jurnal Ilmu Medis Indonesia Vol. 5 No. 1 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i1.4558

Abstract

Purpose: This study aims to describe recent approaches and innovations in drug design rooted in medicinal chemistry, with particular emphasis on the contributions of computational methods and the exploration of natural compounds in the development of new drug candidates. Methodology/Approach: This literature review synthesizes current research on in silico techniques such as molecular docking, QSAR (Quantitative Structure–Activity Relationship), and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) prediction. It also examines the integration of natural product screening, synthetic compound optimization, and interdisciplinary approaches involving bioinformatics and pharmacogenomics. Results/Findings: Computational approaches have proven effective in reducing time and costs during the early phases of drug discovery. Natural products provide structurally diverse scaffolds with promising biological activities, particularly in the development of anticancer agents. The combination of medicinal chemistry with interdisciplinary fields enhances mechanistic understanding and supports the rational design of novel therapeutics. Conclusions: The convergence of computational innovation and interdisciplinary research significantly enhances the efficiency, precision, and scope of modern drug design, paving the way for more personalized and targeted therapies. Limitations: This study is based solely on secondary data from published literature and does not include empirical validation through laboratory experiments. Contribution: This review offers a comprehensive overview of emerging trends in medicinal chemistry and serves as a valuable reference for researchers, pharmaceutical scientists, and interdisciplinary teams seeking to advance drug discovery efforts.
Eksplorasi Senyawa Alami sebagai Lead Antikanker Payudara dengan Pendekatan In Silico Amin, Saeful; Azijah, Rachma Nur; Gunawan, Febrianti Rizki
Jurnal Ilmu Medis Indonesia Vol. 5 No. 1 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i1.4560

Abstract

Purpose: This study aimed to explore the potential of natural compounds as lead candidates for breast cancer therapy through a medicinal chemistry framework using in silico methods, with the goal of identifying safer and more effective alternatives to conventional treatments. Methodology: A qualitative library-based research design was employed using a systematic literature review of 15 primary national and international journal articles published between 2020 and 2025. The computational tools used in the study included AutoDock Vina and PyRx for molecular docking and virtual screening, SwissADME and pkCSM for ADMET predictions, and GROMACS for molecular dynamics simulations. Results: Several natural compounds, including berberine, ellagic acid, camptothecin, and kaempferol, exhibited strong binding affinities toward key breast cancer molecular targets, such as estrogen receptor (ER), progesterone receptor (PR), HER2, and PD-L1. These compounds formed stable ligand–receptor complexes and showed favorable pharmacokinetic properties, conforming to Lipinski’s Rule of Five, thereby suggesting their viability as lead candidates for further development. Conclusions: This study highlights the promising potential of selected natural compounds as lead structures for breast cancer drug development. The integration of molecular docking, pharmacokinetic prediction, and dynamic simulation provides a robust platform for early phase drug discovery. Limitations: The primary limitation of this study is that in silico simulations do not fully capture complex biological interactions within the human body, including metabolic pathways and immune system responses. Contribution: his study contributes to the fields of medicinal chemistry and pharmaceutical sciences by offering updated insights into the utility of natural compounds as anti-breast cancer agents.
Review Artikel: Pendekatan in Silico dalam Kimia Medisinal tentang Resistensi Antibiotik Amin, Saeful; Mustafidah, Syifa; Nabila, Nazelia Saila; Maharani, Cici
Jurnal Ilmu Medis Indonesia Vol. 5 No. 1 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i1.4561

Abstract

Purpose: This study aimed to explore the utilization of in silico approaches in medicinal chemistry to address the global challenge of antibiotic resistance through faster, more efficient, and innovative drug discovery methods.. Methodology: A systematic literature review was conducted using the Google Scholar, SINTA, PubMed, and ScienceDirect databases. The selected articles highlight computational techniques such as molecular docking, machine learning, and Perturbation Theory and Machine Learning (PTML) models for the identification, screening, and optimization of novel antibiotic candidates. Results: This review reveals that in silico methods significantly accelerate the discovery of potential antibiotics, facilitate the identification of compounds with novel mechanisms of action, improve ligand–target binding predictions, and support the modulation of resistance-related gene expression. The synergy between computational simulations and experimental validation enhances the reliability and efficiency of drug development pipelines. Conclusions In silico approaches offer effective, rapid, and cost-efficient solutions for the discovery of next-generation antibiotics that play a crucial role in the ongoing battle against antimicrobial resistance. Limitations: Despite their advantages, in silico methods have limitations in accurately predicting pharmacokinetics and toxicity profiles, as well as in modelling protein flexibility and complexity of biological systems. Contribution: This study contributes to medicinal chemistry, pharmaceutical science, and biotechnology by providing an integrative framework that supports innovative and resource-efficient strategies for antibiotic development and resistance mitigation.
Potensi Senyawa Kuersetin sebagai Antikanker Payudara melalui Pendekatan Molecular Docking Amin, Saeful; Wihdatunnisa, Imelda; Aisyah, Rohmah; Kurniawan, Yoga Sugama
Jurnal Ilmu Medis Indonesia Vol. 4 No. 1 (2024): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v4i1.4565

Abstract

Purpose: This study aims to evaluate the potential of quercetin as an anti-breast cancer agent through a molecular docking-based literature review. Quercetin, a natural flavonoid found in various fruits and vegetables, has attracted interest due to its antioxidant, anti-inflammatory, and anticancer properties. This study focuses on its potential interaction with key molecular targets associated with breast cancer progression.. Methodology: A systematic literature review was conducted using peer-reviewed articles published between 2015 and 2024, sourced from major scientific databases such as PubMed, Scopus, and ScienceDirect. The review focused on molecular docking studies that assessed quercetin's interaction with three principal breast cancer target proteins: Human Epidermal Growth Factor Receptor 2 (HER-2), 2W3L (a mutant form of the Estrogen Receptor), and Sirtuin 1. Results: Quercetin demonstrated strong binding affinities, with docking scores ranging from -8.0 to -9.5 kcal/mol for HER-2 and 2W3L, indicating stable and favorable interactions. These interactions suggest that quercetin may interfere with breast cancer cell signaling pathways. Conclusion: The findings suggest that quercetin holds significant promise as an anti-breast cancer compound, particularly through its stable interaction with HER-2 and 2W3L. Nonetheless, further in vitro and in vivo studies are essential to validate these in silico findings and evaluate its pharmacokinetic and pharmacodynamic properties.. Limitations: This study is limited to computational data without experimental validation. Contribution: This review supports the potential of quercetin in breast cancer drug discovery and highlights the importance of structure-based drug design in identifying novel therapeutic agents.
Enhancing Menstrual and Reproductive Health Knowledge Among Non-Health Students Through Educational Interventions Amin, Saeful; Pebiansyah, Anisa; Alifiar, Ilham; Anna Yuliana; Neng Widy Widiyawati; De Hiban Fauzan Mabruro; Febriana Nur Anggraeni
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 8 No. 1 (2025): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v8i1.6182

Abstract

Menstruation refers to the shedding of the uterine lining in the absence of fertilization, which occurs monthly in the female reproductive system. However, knowledge regarding menstruation is often inadequate, particularly among non-health students. This community service activity aimed to improve understanding of reproductive health through education. The study employed a one-group pre-posttest design with total sampling, involving 29 non-health female students from a university in Tasikmalaya. The pretest results showed an average score of 47.31, which significantly increased to 93.59 in the posttest. Participants with good knowledge increased from 2 to 29, while those with poor and moderate knowledge levels dropped to zero. Statistical analysis indicated a significant improvement after the educational intervention (p = 0.000). These findings demonstrate that reproductive health education effectively increases knowledge, particularly among non-health students. This initiative supports developing similar educational programs to enhance awareness and hygiene in reproductive health, ultimately improving public health quality.
Tinjauan Kimia Medisinal Terhadap Senyawa Nefrotoksik Dalam Makanan: Mekanisme Kerusakan Ginjal dan Implikasinya Terhadap Kesehatan Masyarakat Amin, Saeful; Juliyana, Anjar; Puspita, Dea; Hoerunisa, Pina; Darusman, Rafly Fadillah; Nurafifah, Shifa
Jurnal Ners Vol. 9 No. 2 (2025): APRIL 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i2.44227

Abstract

Paparan terhadap senyawa-senyawa nefrotoksik dalam berbagai jenis produk pangan telah menjadi isu penting dalam bidang kesehatan masyarakat, mengingat peran vital ginjal dalam menjaga homeostasis tubuh. Sejumlah zat berpotensi toksik seperti logam berat (misalnya kadmium, timbal, dan merkuri), aditif makanan sintetis (seperti pemanis buatan dan pewarna kimia), serta kontaminan hasil proses termal seperti akrilamida dan heterosiklik amina, diketahui dapat menimbulkan kerusakan struktural dan fungsional pada jaringan ginjal secara kumulatif. Tujuan penelitian untuk memperluas wawasan terkait keberadaan senyawa nefrotoksik dalam makanan, mekanisme kerusakan ginjal yang ditimbulkannya, serta implikasi terhadap kesehatan masyarakat secara menyeluruh, khususnya dari pendekatan kimia medisinal. Hasil keberadaan senyawa nefrotoksik dalam bahan pangan merupakan ancaman yang signifikan bagi kesehatan ginjal, organ penting yang berperan dalam detoksifikasi, pengaturan tekanan darah, serta menjaga keseimbangan cairan tubuh. Senyawa seperti mikotoksin (seperti OTA dan citrinin), logam berat (timbal, kadmium, dan uranium), asam aristolochic, serta bahan tambahan makanan seperti nitrat, nitrit, dan pemanis buatan memiliki potensi besar dalam memicu kerusakan ginjal melalui mekanisme biologis dan kimiawi yang kompleks. Diharapkan, hasil kajian ini dapat menjadi kontribusi ilmiah dalam merumuskan strategi mitigasi risiko serta meningkatkan kesadaran publik terhadap pentingnya keamanan pangan dalam menjaga kesehatan ginjal jangka panjang.
Aktivitas Senyawa Bioaktif Brotowali (Tinospora Crispa L.) Sebagai Agen Antidiabetes : Kajian Kimia Medisinal dan Molekuler Docking Amin, Saeful; Dienia, Wida Salsabila; Olivian, Nauval Sebastian; Aeni, Sini Qurota; Nuraeni, Tania; Padan, Rizki Nina
Jurnal Ners Vol. 9 No. 2 (2025): APRIL 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i2.44230

Abstract

Diabetes mellitus (DM) merupakan gangguan metabolisme yang ditandai dengan defisiensi sekresi insulin, resistensi insulin, atau keduanya. Brotowali (Tinospora crispa L.), tanaman merambat asli Asia Tenggara, telah lama digunakan dalam pengobatan tradisional untuk mengatasi DM. Tujuan penelitian ini untuk menganalisis potensi brotowali sebagai agen antidiabetes melalui pendekatan in vivo, in vitro, dan in silico. Hasil penelitian menunjukkan bahwa ekstrak brotowali mengandung senyawa bioaktif seperti alkaloid, flavonoid, dan tanin yang berperan dalam menurunkan kadar glukosa darah melalui mekanisme penghambatan enzim α-glukosidase dan dipeptidyl peptidase-IV (DPP-IV). Studi in vivo pada hewan uji membuktikan efek hipoglikemik brotowali, dengan penurunan kadar glukosa darah hingga 89,3 mg/dL pada dosis 300 mg/kgBB. Analisis molecular docking mengungkap bahwa senyawa aktif brotowali (misalnya, borapetosida C dan N-asetilanonain) memiliki afinitas inhibisi lebih kuat terhadap α-glukosidase (ΔG = -11,6 kkal/mol) dan DPP-IV (ΔG = -107,7 kkal/mol) dibandingkan acarbose dan alogliptin. Temuan ini menunjukkan bahwa brotowali berpotensi dikembangkan sebagai fitofarmaka antidiabetes, namun diperlukan penelitian lanjutan terkait uji klinis dan toksisitas pada manusia.
Studi In Silico Penghambatan COVID-19 melalui Papain-Like Protease dan NSP10: Pendekatan AutodockTools dan Simulasi Dinamika Molekuler Amin, Saeful; Firdaus, Muhammad Riffa; Daniswara, Fawwaz; Guntara, Giri; Sutisna, Muhamad Hilmi; Nugraha, Rangga
Jurnal Ners Vol. 9 No. 2 (2025): APRIL 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i2.44264

Abstract

COVID-19 merupakan tantangan global yang membutuhkan pengembangan terapi efektif. Studi ini mengeksplorasi potensi senyawa antivirus sebagai inhibitor terhadap enzim Papain-Like Protease (PLpro) dan Non-Structural Protein 10 (NSP10) SARS-CoV-2 melalui pendekatan in silico. Menggunakan perangkat lunak AutodockTools untuk molecular docking dan Discovery Studio Visualizer untuk visualisasi, penelitian ini mengevaluasi binding affinity dan stabilitas interaksi ligan-reseptor melalui simulasi dinamika molekuler. penelitian ini bertujuan untuk mengeksplorasi potensi senyawa antivirus sebagai penghambat COVID-19 melalui studi in silico yang mengombinasikan metode docking molekuler dengan simulasi dinamika molekuler untuk mengamati stabilitas interaksi pada level atomik. Metode penelitian ini menggunakan studi literatur dengan pendekatan in silico untuk mengeksplorasi penghambatan COVID-19 melalui Papain-Like Protease (PLpro) dan NSP10. Desain penelitian bersifat deskriptif, di mana kami mengumpulkan dan menganalisis data dari berbagai sumber yang relevan mengenai interaksi antara senyawa potensi dan target protein virus. Hasil menunjukkan bahwa umifenovir memiliki binding affinity terendah, menandakan potensi kuat sebagai inhibitor COVID-19. Stabilitas interaksi senyawa dengan residu asam amino kunci pada PLpro dan NSP10 mendukung prediksi aktivitas antivirus yang tinggi. Penelitian ini mengonfirmasi bahwa studi in silico dapat menjadi langkah awal yang penting untuk mengidentifikasi kandidat obat potensial dalam melawan COVID-19.
The role of medical chemistry in the synthesis of selective anticancer compounds for breast cancer with a computational and experimental approach Amin, Saeful; Rahayu, Nikeu; Nurhanifah, Hana; Zulvana, Anggi; Dwi, Syamsiati; Malika, Ardina
Jurnal Ners Vol. 9 No. 2 (2025): APRIL 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i2.44374

Abstract

Breast cancer is a cancer with high prevalence in women and requires more selective therapy and minimal side effects. Medicinal chemistry plays an important role in the development of anticancer compounds through a chemical synthesis approach, in silico modeling, and in vitro validation. The aim of this study is to comprehensively review the role of medicinal chemistry in the synthesis and development of selective anticancer compounds in breast cancer, with an emphasis on computational (in silico) approaches and experimental validation as two inseparable aspects of the modern drug discovery and development process. This study examined twenty articles related to natural and synthetic compounds tested for cancer targets such as HER-2, CDK4, and DAPK1. Compounds such as luteolin and benzimidazole derivatives show high affinity and cytotoxic activity in MCF-7 cells. The results show that the integration of computational and experimental approaches supports the development of breast cancer therapy that is more effective and safe.
Co-Authors Abdurrahman, Muhammad Iqmal Adelita, Keysha Putri Aeni, Sini Qurota Afifah, Fitri Nur Agustin, Mutiara Agustin, Salsabila Cahyadiana Agustina, Tasya Agustriana, Widya Ainunisa, Alma Amalia Aisyah, Rohmah Ala Anistia Widya Alfarizi, Andris Allita, Nur Alya, Elsa Amanda NR, Nadila Amelia, Nabila Amelya, Isti Nisa Amelya, Risna Andika Pratama Andini, Mawar Andriani, Della Anggi Setiawan, Rio Anggraeni, Yuniar Dwi Anisa, Anis Anjani, Puteri Tita Anna Yuliana, Anna Annisa, Hilma Tri Ansyirohanisa Ansyirohanisa, Ansyirohanisa Apriliani, Cici Aprillia, Ade Yeni Ardian, Mohamad Idwar Arifin, Nizar Nurul Arman, Siti Alisa Assafa, Zifa Athaya, Rahil Athollah, Rifqi Nabil Aulia, Mila Auliya, Shafa Awalia, Najla Nisa Ayu Wulandari Az Zahra, Siti Zulfa Azhara, Rifa Salma Azhari, Resi Aulia Azijah, Rachma Nur Azzahra, Shafa Meyliana Beni Maulana Habib Cahya, Nabilla Amelia CINDY CINDY Claudya, Stefanie Daniswara, Fawwaz Darmawan, Muhammad Rahmat Darusman, Rafly Fadillah De Hiban Fauzan Mabruro Destian, Lufi Dewi, Sabrina Putriansyah Dian Eka Pratama, Dian Eka Dienia, Wida Salsabila Diva, Amadita Jacinda Dwi, Syamsiati Eka Saraswati Esti Mumpuni, Esti Euis, Euis Fadli Fadli Fadlillah, Raisya Ismah Fajarini, Syifa Rizkia Fajrin, Ari Muhammad Farhatunnisa, Elsa Fatihatul Makia, Fina Fauzi, Rifqi Ahmad Febriana Nur Anggraeni Febriyanti, Nadia Rahma Fernanda, Refa Firdaus, Muhammad Riffa Fitri, Nabila Ainul Fitria, Annisya Ahya Friana, Derina Agus Fuadah, Iga Syamratul Ghassani, Shefila GUNAWAN, ADRI Gunawan, Febrianti Rizki Guntara, Giri Guspiana, Rudi Hamzah, Dzaky Harahap, Fithriyah Salsabila Hasanah, Muna Shintya Hawari, Khoirul Heppi Syofya, Heppi Herawati, Tantri Herdianti, Nita Heryanto, Popih Hoerunisa, Pina Huda, Dian Fitri Kulyatul Huda, Muhammad Ismail Sabilul Hurry, Zulfan Alfairuz Zabbady Husen, Desinta Nurohman Ibadurrahman, Rifki Ilham Alifiar, Ilham Ilhami, Dinda Ayu Dara Illavana, Nazara Imani, Anneu Deanti Ira Rahmiyani Irfandi, Fikri Efad Ismail, Alya Auliya Jannah, Isma Aenul Jibril, Shaira Judijanto, Loso Juliyana, Anjar Justicia, Adhisty Kharisma Jutti Levita Khaerina, Yunisa Khoerunisa, Widia Salsabila Khoirunnisa, Aliifah Kurniawan, Yoga Sugama Kushariyadi Kusumadewi, Fitria Balqis Lansini, Sinka Leandra, Dhea Nova Lestari, Nabila Lestari, Siti Laesa Lisa Fitriani Liugiarto, Carolin Denisti M, Maesaroh Maharani, Cici Maharani, Komang Dewi Malika, Ardina Malika, Dea Maria, Hana Diana MAULANA, RIZA Maulida, Nazwa Lutfia Meilani, Yeni Meithasari, Fauziah Melayu, Nasywa Nada METI MEGAWATI, METI Meyanti, Reti Miraz, Yunisa Muhamad Rizki Muhammad Rahmat Darmawan Muhtar, Nenden Laila Nurafifah Mulhimah, Ai Muliadi, Prayoga Murdina, Rd Dina Siti Mustafidah, Syifa Muttaqin, Muhammad Zainal Nabila, Liza Salsa Nabila, Nazelia Saila Nabila, Tiana Zulfa Nabila, Yesita Yumna Nabilah, Luthfiyah Nadhira Alika Putri Neng Widy Widiyawati Niktar, Indika Nisa, Fika Fahrun Nugraha, Rangga Nuraeni, Tania Nuraeni, Tiwi Nurafifah, Shifa Nurahman, Rima Putri Nurassyifa, Reva Puspa Rizkia Nurcahya, Eulis Nurfatimah, Ghefira Shofa Nurhadiska, Muchamad Nizam Nurhanifah, Hana Nurhanifah, Neng Sarah Nurliawati, Fadhillathul Nurmaliya, Fauzia Rifany Oktaviani, Sindi Olivian, Nauval Sebastian Padan, Rizki Nina Paridah, Dea Nur Paujiah, Lusi Pebiansyah, Anisa Pitara, Devi Prasetyo, Andri Prasetyo Pratomo, Dimas Wahyu Pujawati4, Lexsa Pujiyani, Delya Puspita, Dea Putri, Alifia Chlorena Putri, Ika Indriani Putri, Isfahani Maulidah Putri, Listya Nurina Putri, Puspa Virgiantika Adzkia Rachma, Risma Nuraulia Rachmat, Shinta Widia Rahayu, Nikeu Rahayu, Resna Gita Rahmadhani, Sekar Harsti Rahmawati, Desti Rais, Rinovian Ramadani, Adinda Laisya Ramadhani, Tria Novita Siti Ramdhiani, Nova Dwi Ramdlani, Fahmi Rangga Pratama, Andi Riedho Prima Cahya Riesna Apramilda Ririhani, Intan Riska Prasetiawati, Riska Rizky Pratama Putra Rojabi, Mochamad Fahad Rusdaita, Febia Citraeni Rusiyana, Nisrina Putri Sabila, Sipa Sahrisyawal, Fajar Salimah, Suci Intan Salma, Rifa Fakhriah Salsabila Adlina Salsabila, Dinda Aulia Santika, Mawar Saputra, Erwin Yuliana Satria, Deagi Taufik Seryarini, Ririn Shaleha, Hafizha Nur Shaleha, Resha Resmawati Sheryl, Vanessa Angelica Siti Hamidah Slamet Ibrahim - Soegeng Wahyoedi Sophi Damayanti Sopiyurrohman, M Luthfi Sri Adi Sumiwi Sudrajat, Nisya Aulia Rahmatillah Sulaeman, Muhammad Ilham Sumantri, Tri Adi Sumardiawan, Dhiyaa Kaamilah Supriatna, Galuh Taruna Sutisna, Muhamad Hilmi Syamsudin, Atasya Syarifah, Siti Nurlaelatu Taufik Hidayat Tia Setiawati Ulpah, Mariah Wardiah, Shelya Nurul Wati, Erez Widya Weguna, Asti Awaliyah Wibisono, Mohammad Alfin Widiyanti, Risma Wihdatunnisa, Imelda Wijayanti, Nimas Ayu Kencana Yuliani, Renny Yulianingsih, Tipani Sri Yulianingsih Yunarsih, Yuni Yustianti, Fitria Zahra, Hanum Nurannisa Zahra, Naila Maulida Zain, Dichy Nuryadin Ziani, Ziani Zulvana, Anggi