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Bambang Irawan

Universitas Mulawarman

Author-ID : 2665765

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KLASIFIKASI PENYAKIT TANAMAN PADI MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK DENGAN ARSITEKTUR MOBILNETV2 Eko Fuji Pangestu; Bambang Irawan
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8900

Diseases affecting rice plants are one of the major factors contributing to decreased agricultural productivity and potential losses for farmers. Conventional disease identification generally relies on expert knowledge and is often impractical to perform accurately and efficiently in the field. This study aims to develop an image-based classification system for rice leaf diseases using a Deep Learning approach with a Convolutional Neural Network architecture, specifically MobileNetV2. The dataset consists of five rice leaf condition classes, namely bacterial disease, brown spot, blast, tungro, and healthy leaves, obtained from the Roboflow platform. The research methodology includes data collection, image pre-processing, model training using a transfer learning approach, and performance evaluation. Experimental results demonstrate that the proposed MobileNetV2 model achieves an accuracy of 93.46% and shows strong performance across most disease categories. Although misclassification still occurs among classes with similar visual characteristics, the results indicate that the developed model has significant potential as an efficient and automated decision-support system for rice plant disease identification.

SISTEM REKOMENDASI METADATA LAGU BERDASARKAN DETEKSI EMOSI WAJAH MENGGUNAKAN VIT-B/16 Nurrofiq, Ainan Zaky; Bambang Irawan
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8950

This study presents a music metadata recommendation system based on facial emotion detection using the Vision Transformer (ViT-B/16) model. The system classifies user emotions into seven categories using the KDEF facial dataset and matches them with music metadata (title, artist, genre, mood) labeled with corresponding emotional tags. The ViT-B/16 model was trained using transfer learning and evaluated with accuracy, precision, recall, and F1-score. The model achieved an accuracy of 89% and an average F1-score of 0.89. The recommendation system was assessed by 30 participants, with 87% indicating that the suggested song metadata matched the detected emotion. The system offers real-time emotion recognition and automatic mood-based song suggestions. However, classification accuracy for visually similar emotions such as “fear” and “angry” remains a challenge. Future development may include audio and lyric analysis, as well as user preference integration, to enhance recommendation relevance.

EVALUASI KLASSIFIKASI PENYAKIT DAUN TEH MENGGUNAKAN TRANSFER LEARNING EFFICIENTNETB0 azis, santowi; bambang irawan
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8954

Penelitian ini mengevaluasi performa model EfficientNetB0 berbasis transfer learning untuk deteksi dini penyakit daun teh. Dataset Tea Leaf Disease yang tersedia secara publik digunakan, terdiri dari 5.867 gambar daun teh dengan enam kelas, yaitu algal spot, brown blight, gray blight, healthy, helopeltis, dan red spot. Dataset dibagi menjadi data latih (70%), validasi (15%), dan uji (15%). Model dilatih selama 30 epoch dengan laju pembelajaran 1×10⁻⁴, kemudian dilakukan fine-tuning selama 15 epoch tambahan menggunakan laju pembelajaran 1×10⁻⁵ disertai augmentasi data yang intensif. Hasil pengujian pada data uji menunjukkan akurasi sebesar 97%, dengan nilai macro-averaged precision, recall, dan F1-score masing-masing mencapai 0,97. Analisis confusion matrix mengindikasikan tingkat kesalahan klasifikasi yang rendah, meskipun masih terjadi kesalahan pada kelas-kelas yang memiliki kemiripan visual tinggi, seperti brown blight dengan gray blight serta helopeltis dengan healthy. Hasil ini menunjukkan bahwa EfficientNetB0 memiliki akurasi dan efisiensi yang tinggi, sehingga berpotensi untuk diimplementasikan pada aplikasi mobile sebagai sistem pendukung deteksi dini penyakit daun teh bagi petani.

ANALISIS SENTIMEN ULASAN APLIKASI GROK DI GOOGLE PLAY STORE MENGGUNAKAN ALGORITMA LONG SHORT-TERM MEMORY (LSTM) tamlica, Agam; Irawan, Bambang
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.9011

Kemajuan dalam kecerdasan buatan telah memicu proliferasi berbagai aplikasi berbasis bahasa alami, yang dicontohkan oleh Grok, yang mengumpulkan banyak ulasan pengguna di Google Play Store. Evaluasi tersebut merangkum persepsi dan pengalaman pengguna, yang sangat penting untuk peningkatan kualitas layanan. Tujuan penelitian ini adalah untuk memeriksa sentimen ulasan pengguna yang terkait dengan aplikasi Grok menggunakan algoritma Long-Term Memory (LSTM), karena kemampuannya untuk pemahaman kontekstual yang mendalam dan analisis urutan kata. Data dikumpulkan melalui metodologi web scraping yang menggunakan pustaka google-play-scraper dan menjalani beberapa tahap pemrosesan, termasuk pembersihan, tokenisasi, penghapusan terminologi, stemming, dan klasifikasi sentimen. Model dilatih selama lima epoch dengan partisi data 80% untuk pelatihan dan 20% untuk validasi, menghasilkan tingkat akurasi 89,58%. Temuan menunjukkan bahwa model LSTM mahir dalam mengidentifikasi pola linguistik dan sentimen pengguna, khususnya dalam klasifikasi positif Hasil ini menggarisbawahi potensi penggunaan LSTM sebagai kerangka kerja analisis opini otomatis untuk aplikasi berbasis kecerdasan buatan di Indonesia.

Customer Relationship Management sebagai Strategi Penciptaan Keunggulan Bersaing pada Sektor UMKM: Sistematis Literatur Review Nursaidah, Nursaidah; Suryaningsih, Ika Barokah; Irawan, Bambang
Jurnal Manajemen dan Bisnis Indonesia Vol. 11 No. 02 (2025): Edisi Bulan Desember
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jmbi.v12i02.4121

Upaya pengembangan UMKM seringkali dihadapkan pada kendala dan hambatan lemahnya kemampuan pemasaran serta persaingan yang ketat. Customer Relationship Management (CRM) merupakan strategi yang komprehensif dan proses memperoleh, mempertahankan, dan berkolaborasi dengan pelanggan untuk menciptakan nilai (value) bagi perusahaan dan pelanggan. Banyak penelitian tentang CRM telah mencapai kemajuan signifikan di beberapa bidang seperti telekomunikasi, perbankan, dan manufaktur, tetapi penelitian khusus untuk UMKM masih sangat terbatas. Tujuan systematic literature review (SLR) ini adalah untuk mengidentifikasi, mengkaji, dan memberikan kerangka model tentang CRM dan kaitannya dengan penciptaan keunggulan bersaing pada sektor UMKM. Literatur yang digunakan terbit pada tahun 2015-2024 dan basis data referensi adalah Scopus. Metode SLR menggunakan PRISMA dan visualisasi data menggunakan software VOS viewer. Temuan penelitian ini menunjukkan bahwa CRM memainkan peran penting dalam konteks UMKM dengan meningkatkan kepuasan pelanggan, menumbuhkan hubungan jangka panjang, dan pada akhirnya mendorong keberlanjutan bisnis dan keunggulan kompetitif. CRM telah menjadi strategi penting untuk menjaga organisasi tetap fokus pada kebutuhan pelanggan, meningkatkan tingkat layanan dan kepuasan pelanggan serta membina hubungan jangka panjang dengan pelanggan, yang dapat menghasilkan keuntungan dan keberlanjutan organisasi. Hasil VOS viewer menyebutkan delapan cluster yang terbentuk dengan CRM sebagai titik fokus terkait dengan topik penelitian.

Community Service as a Driving Force for MSME Empowerment in a Sustainable Economic Ecosystem Irawan, Bambang; Suherlan; Aris, Valentino
Tirakat: Jurnal Terobosan Peduli Masyarakat Vol 3 No 1 (2026): January 2026
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/j.tirakat.v3i1.322

Community service is one of the strategic pillars of the higher education Tri Dharma that holds significant potential in promoting the empowerment of Micro, Small, and Medium Enterprises (MSMEs) as the foundation of a sustainable economic ecosystem. This study aims to expand and enrich scholarly references on community service by examining its role as a driving force for MSME empowerment within the framework of sustainable economic development. The research employs a literature review method using a qualitative approach and descriptive analysis. Data were collected from Google Scholar and selected credible websites, covering publications from 2014 to 2026. Of the 50 articles initially identified, a rigorous selection process based on relevance, methodological quality, and source credibility resulted in 31 articles being analyzed further. The findings indicate that community service significantly contributes to enhancing MSME capacity through the strengthening of human capital, social capital, business innovation, and the integration of economic, social, and environmental sustainability principles. This study confirms that community service functions as a strategic instrument in building an inclusive, resilient, and sustainable MSME ecosystem.

EPISTEMOLOGICAL POLEMICS IN DIGITAL RELIGION: MAPPING APPROACHES IN THE DIGITAL SPHERE Rohmatin, Tien; Binaningrum, Banun; Irawan, Bambang; Iman, Muhamad Tamamul; Rahmawati, Firda Devi
Kanz Philosophia: A Journal for Islamic Philosophy and Mysticism Vol. 11 No. 2 (2025): December
Publisher : Sekolah Tinggi Agama Islam Sadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20871/kpjipm.v11i2.448

Digital religion is where religious beliefs meet digital media. Networked technologies have changed how people share, interpret, and practice their faith. These technologies shift authority away from traditional institutions, allowing ordinary people and even algorithms to help create sacred content. Objectives: This study maps and critically analyzes the main debates about religious knowledge online. It proposes frameworks to handle issues of authority, authenticity, and research methods in digital faith settings. Methods: We used a qualitative approach by reviewing scholarly studies, reports, news articles, and online material up to mid‑2025. We applied phenomenological and hermeneutic analyses to examine how digital media are changing the production and understanding of religious knowledge, using case studies from multiple faith traditions. Results: We identified important tensions in digital religion: sacred vs profane spaces; reason vs revelation; authority vs authenticity; insider vs outsider viewpoints; mystical vs empirical knowledge; pluralism vs normativity; and transcendence vs immanence. We also highlight issues such as algorithmic influence, digital inclusion, environmental sustainability, and research challenges. Additionally, we explore new debates on topics like colonialism, gender, and diaspora. We conclude that addressing digital religion requires better religious and digital literacy, inclusive dialogue, ethical technology design, and interdisciplinary research to build a strong, inclusive ecosystem of religious knowledge. By combining existing research with current examples, this article provides a broad overview of the changing knowledge landscape in digital religion.

Penguatan Karakter Religius Peserta Didik di Era Digital: Tantangan dan Strategi Implementasi di Sekolah Ballianie, Novia; Mardeli, Mardeli; Dewi, Mutia; Irawan, Bambang; Efriliyanti, Lia
Indo-MathEdu Intellectuals Journal Vol. 7 No. 1 (2026): Indo-MathEdu Intellectuals Journal (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v7i1.4885

This study aims to analyze the strengthening of students’ religious character in the digital era in terms of challenges and implementation strategies in schools. The research employs a literature review method using secondary data sources, including textbooks, reputable national and international journals, conference proceedings, research reports, and educational policy documents. Data were collected through the inventory, selection, and documentation of relevant literature. Data analysis utilized content analysis through the stages of data reduction, data presentation, and conclusion drawing. The findings indicate that strengthening students’ religious character in the digital era faces multidimensional challenges arising from technological developments and changes in social behavior. Exposure to digital content that is inconsistent with religious values, invalid religious information, and excessive gadget use weakens spiritual awareness, worship practices, empathy, and mutual respect. These conditions are exacerbated by predominantly cognitive-oriented learning, low digital literacy among educators, and inconsistencies in school religious culture. Therefore, strengthening religious character requires holistic, adaptive, and sustainable strategies within the context of modern education.

Implementation of Smart City Program Policy on The Use of Samagov Application in Digital Sub-District of Samarinda Seberang Lisdawati Lisdawati; Enos Paselle; Kus Indarto; Bambang Irawan
Poltanesa Vol 26 No 1 (2025): June 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i1.3389

This research investigates the implementation of the Smart City program policy through the application of Samagov within the digital sub-district initiative in Samarinda Seberang. The study aims to examine the extent to which the policy has been realized in practice, as well as to identify the supporting and inhibiting factors influencing its effectiveness. Employing a qualitative descriptive approach, the data were collected through in-depth interviews, document analysis, and field observations. The research framework is grounded in George C. Edward III’s policy implementation model, which emphasizes four core variables: communication, resources, disposition of implementers, and bureaucratic structure. The findings reveal that although the application represents a strategic effort in modernizing public service delivery, several significant obstacles remain. These include ineffective communication between stakeholders, lack of clarity in information dissemination, insufficient trained human resources, and a bureaucratic structure that is not yet adaptive to digital transformation. Additionally, the supporting Standard Operating Procedures (SOPs) are still under development, which has led to inconsistencies in service execution. On the other hand, some enabling factors were identified, such as leadership commitment, availability of digital infrastructure, and collaboration with technology providers. The study concludes that a more structured and inclusive implementation strategy is needed, particularly by improving inter-agency coordination, simplifying SOPs, providing regular technical training, and increasing community digital literacy. The establishment of digital service units at the sub-district level is also recommended to ensure service consistency and accessibility. Effective policy implementation in this context is expected to accelerate digital governance practices and contribute to more transparent, efficient, and inclusive public service delivery in line with the Smart City vision.

Co-Authors Abdul Khamid Abdul Kolik Abdullah Karim Abdullah Karim Achmad Djumlani Achmad Fikri Achmad Nurmandi Adam Idris Adam Malik Adhani, Karenina Dwi Adigunawan, Adigunawan Agung Prayitno Agustin, Dania Safira Agustinus Lejiu Agustinus Suryantoro Ahmad Faqih Aisa Tri Agustini Ajeng Pratiwi Akbar, Paisal Albertus Maqnus Soesilo Alfiandri Alfiandri Alfiandri, Alfiandri Algopeng, Zozi Alifiansyah, Roby Fathan Amanda, Jesi Amar, Zafran Arifah Amelia Putri Dewi Nilam Sari Ananda, Alfin Andi Hafidz Khanz Andika Saputra Andin Ayu Oksilia Ramadhani Andri Prasetyo Angger Bagus Prasetiyo Anggit Murdani Ani Purwati Anthonius Margono Ardian Nugraha Putra Ardiano, Muhammad Rayyan Ardyansyah, Luthfi Arieyasmieta, Wildan Lutfi Arisandi, Bobi Ariz , Naufal Arniti, Ni Ketut Aryasatya, Muhammad Fathi Aryo Wibisono Asep Maulana, Asep Aspita Laila Astriani, Linda Axel Prasetyo Sudiro azharia, Jenny Clarisa azis, santowi Azizah, Enur Badarita, Badarita Ballianie, Novia Bambang Suharno Banun Binaningrum Barelang, Syaeful Bachri Bato, Bulan Erika Bhakti, M.Herdian Bhimo Rizky Samudro Budi Rahayu Budi Tjahjono Budiman Budiman Chairi, Minal Charles Raymond Jeffrey CHIANI, SARASWATI HAYLIAN Christina Nugroho Ekowati, Christina Nugroho Christover, Deandlles Cin, Muksin Cornelia, Geby Dan Buntu Paranoan Darmawan , Ade Daryono Daryono, Daryono Dayutama, Theodorus Dedy Miswar Dini Zulfiani Djumadi . Dudik Djaja Sidarta Dyah Mutiarin, Dyah Efriliyanti, Lia Eki Darmawan Eko Fuji Pangestu Eko Priyo Purnomo Elsa Junita, Ika Endang Nurcahyani Enos Paselle Erizal Eva Sri Handayani Pongtuluran Fadilah, Muhammad Rizky Faisal Nasar Bin Madi Fajar Apriani Farhanuddin Jamanie Farisi, Salman Fathurrahman Fathurrahman Fatullah, Iqbal Fauzi, Dzikri Ahmad Fauzia, Gina Febri Juita Anggraini Fernando Mersa Putra Fetia Harsa Fina Marshella Finnah Fourqoniah Firda Safira, Masnoni Firyal Nabila Ulya H.M Fransiska Xeviria Furqanul Hakim Gabriel Putra Gea Cita Meiratri Ghaffar, Dzaky Abdul Gintings, M. Fajar Mediyawan Gintings, Mohammad Fajar Mediyawan Giyarsi, Giyarsi Guspani, Reta Gusti Naufal Rizky Perdana Hamid Abdillah Hamzah, A. Hadian Pratama Hania Ayu Karin Hapidah, Hapidah Haqqi, Abdul Harfiani, Nabela H.N. Hariestya Viareco Haris Puspito Buwono Harmitalia, Mita Hartutiningsih . Hayati, Zahratul Hendra Wibowo Hului Hendra Wibowo Hului Hengki Satrisno Hernawan, Renaldy Herwanto, Agus Heryono Susilo Utomo Hidayat Hidayat Hidayat, Moh. Yusuf Hidayat, Muhammad Nizar Hilmi Mubarok Hutagalung, Winny Laura Christina Ibrahim, Adil Hasan Ibrahim, Adil Hassan Idris, Adam Ika Barokah Suryaningsih Ikhsanudin Ikhsanudin Ilham Yusuf Maulana Ilmi, Fikri Ikmalul Indah Purnamawati Indarto, Kus Iradhad Taqwa Sihidi Irmansah Isnaeni Yuliani Izma, Muhammad Athallah JAHIRUDIN, JAHIRUDIN Jani Master, Jani Jorgi Rivaldo Jubba, Hasse Juniarti, Eni Kadja , Deky Baleanus Kafa, Mushfi Abdulloh Kartika Kartika Kartini Kartini Kezia Arum Sary Khaerunnisa, Rindiyani Khair . Khairina, Etika Kris Witono Kundang Karsono Kurnia, Dian Ade Kus Indarto Kus, Indarto Kusdaryanto, Ardo Kustantina, Kustantina Latifatus Safariyah Leonardo, Nicholas Liky Faizal Lisdawati Lisdawati Liza Marina Loilatu, Mohammad Jafar Lustari, Reli Luthfi Sultan Jauhary Lito Made Kutanegara, Pande Mahfut Maimun Maimun Mappaelo Maradona Abdullah Mardeli Mardeli Martitah Martitah Masjaya . Maskud, Maskud Maulana, Muhammad Evan Maulida, Azkiyatul Mawaddah, Merisa Rahma Mawardi Mayasari, Windatania Meilinda, Nadia Mirawati Yanita Mochammad Iqbal Fadhlurrohman Moh. Hidayatullah Mohammad Taufik Mohammad Taufik Mohammad Taufik Mubarok, Muhammad Zaqi Muhamad Tamamul Iman Muhammad Bagus Sistriatmaja Muhammad Dhaffa Nugroho Muhammad Dinar, Yusadiningrat Muhammad Fahad Muhammad Fikri Setiawan Muhammad Guntur Muhammad Hidayat Muhammad Ilham Effendy Muhammad Imaduddin Muhammad Nizar Muhammad Noor Muhammad Raihan MUHAMMAD REZA FAHLEVY Muhammad Taufik Hidayat Muhammad Zaini Muhammad Zaki Muhimatul Ifadah Murni Murni Mutia Dewi Muzaki, Mochamad Najahatul Hananah Napitupulu, Richard RP Nasrudin, Ahmad Nida Handayani Nisa, Hoirun Nizirwan Anwar Nova Eliza Nova Sintia Dewi Sitorus Novalina Nurul Imama Noviandi Noviandi, Noviandi Noviantika, Stefanny Amalia Nugroho Susanto, Gregorius Nur Ariesanto Ramdhan Nur Fitriyah Nur Handayati Nur Hasan Nur Ilmiah Rivai Nurdin, Akhmad NURJANNAH, ANA Nurmawati, Subekti Nurrofiq, Ainan Zaky Nursaidah Nursaidah, Nursaidah Oktaviani, Ratna Ordas Dewanto Otong Saeful Bachri Pandoyo, Pandoyo Pidesia . Poppy Andriany Prabowo, Ary Pramuja, Trisena Pratama, Denni Pratama, Fristian Adi Pratama, Rizky Prawita Sari, Bening Premana, Agyztia Prihartono, Willy Prihartono Purnama Agustin, Kharisma Purwoko Purwoko Putra, Farrel Reyhan Putri, Cici Amelia Putri, Tasya Kamila Putri, Yoana Nabilah Qurani, Suci Ayu Qurrotaini, Lativa r. Patmiarsih Rabiatul Adawiyah Rachmatullah, Mochamad Miftah Raden Mohamad Herdian Bhakti Rahmat, Al Fauzi Rahmawati, Firda Devi Rahmi Dianita Ramadhan , Rafly Surya Ramadhan, Azki Ramadhan, Satrio Surya Ramdanis, Sapril Nurul Ramdhan, Nur Ariesanto Rande, Santi Rande, Santi Ratih Wirapuspita Wisnuwardani Reri Aprizal Reza Laksana Putra Riko Angga Bayu Kusuma Rini merliana, Setia Ririn Irmadariyani Rismayana . Rista Angraeni Rita Kalalinggi Riyan Ningsih Rizka, Yola Rizki Andre Handika Rizki Raja Putra Rizky Nugraha, Gilang Rizky Reynaldi Rochmah Agustrina Rodhiyah, Zuli Rohayu Rohayu Rohmah, Ainun Nimatu Rosid, Abdur Rumi, Nur Ananda Rusdiansyah Rusdiansyah Said Amaddin Saipul Saipul, Saipul Salahudin Salahudin Samsul Hadi Samuel ., Samuel Samuel Samuel Sandy Dwi Prasetyo Saprudin, Mohamad Sari, Mira Yulia Sari, Vita Komala Sarkani Sarkani Sarwoko, Jonathan Puji Sasongko, Mohammad Umar Sasongko Satrisno, Hengki Senobaan, Riska Tipa Septiria, Dalima Setiawan, Rafli Putra Shahib, Muhammad Umar Simamora, Nurcahaya Sintia, Delva Sinulingga, Samuel Mahesa Siti Kurniasih Siti Rodiyah Siti Triaminingsih Sofia Rahmasari Sonny Sudiar, Sonny Sri Wahyuningsih Steven Christian Subhaini Jakfar Sugeng Supriadi, Sugeng Suherlan Suhestiwi, Rini Sulistio, Alip Sulistiyono, Rovy SUMADI SUMADI Sumardi Sumardi . Sundari Meganingrum, Alpa Sundi, Venni Herli suratman Surpendi . Surya Nanda Situmorang Suryono Suryono Susilo Utomo, Heryono Syafitri, Ranny Aulia Syahrani . Syahrul Borman Syaifurrahim Azhari Syamsul Hadi Syaogi, Moh. Syifa Min Zaytun, Salwa tamlica, Agam Tampubolon, M. Ahsan Tan, Firwan Tasman, Alfadhli Thalita Rifda Khaerani Theresia, Maya Thriwaty Arsal Tiani, Lilis Tien Rohmatin, Tien Timothy Christian Tito Winnerson Sitanggang, Tito Winnerson Tjahjojo, Budi Tjokro Prasetyadi, Tjokro Totalia, Sherly Sustantien Tri Syukria Putra Tugiyono Tundjung Tripeni Handayani, Tundjung Tripeni Valentino Aris, Valentino Wibowo, Rahmat Catur Wijaya, Valentino Winda Khoritotul Jannah Windi Astuti Yofita Sandra Yogi Pasca Pratama, Yogi Pasca Yohani . Yosefa Sayekti Yulhendri Yulhendri Yulia Prihartini Yulianty Yulianty Zahidah, Athiya Zahriani, Nurul Zahrotun Ni'mah Zaky Mubarak, Ahmad Zhikry Fitrian Zulfikar, Iqbal Zulkifli, Zarina Zuly Qodir

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