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Journal of Policy and Bureaucracy Management Jurnal Pengabdian kepada Masyarakat JUTECH : Journal Education and Technology Foremost Journal Journal of Government and Political Issues Jurnal Penelitian Inovatif Indo-MathEdu Intellectuals Journal Unram Journal of Community Service (UJCS) SRIWIJAYA JOURNAL OF ENVIRONMENT JSIP: Jurnal Studi Ilmu Pemerintahan International Journal of Science and Society (IJSOC) Edu Sociata : Jurnal Pendidikan Sosiologi Wisanggeni : Jurnal Pengabdian Masyarakat Jurnal Pajak Vokasi (JUPASI) Abiwara : Jurnal Vokasi Administrasi Bisnis Jurnal Riset Inossa : Media Hasil Riset Pemerintahan, Ekonomi dan Sumber Daya Alam Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Mathematics Instruction, Social Research and Opinion Jurnal Ilmiah Pendidikan Dasar (JIPDAS) An-Nizam: Jurnal Bakti Bagi Bangsa Jurnal Fuaduna: Jurnal Kajian Keagamaan dan Kemasyarakatan Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Kybernology : Journal of Government Studies Media Bina Ilmiah Literasi: Jurnal Pendidikan Guru Indonesia Jurnal Sintaks Logika (JSilog) Borneo Journal of Language and Education Jurnal Penelitian Ilmu Pendidikan Indonesia Journal of Artificial Intelligence and Digital Business Jurnal Pengabdian Kepada Masyarakat JURNAL BIOLOGI PAPUA Innovative: Journal Of Social Science Research JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI) Ranah Research : Journal of Multidisciplinary Research and Development Paradigma: Junal Kalam dan Filsafat Enrichment: Journal of Multidisciplinary Research and Development Jurnal Pengabdian Sosial GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat dan Riset Pendidikan International Journal of Islamic Education (IJIE) ARKHAS: Journal of Arabic Language Teaching Jurnal Terobosan Peduli Masyarakat (TIRAKAT) Jurnal Intelek Insan Cendikia Journal of Innovation in Teaching and Instructional Media Journal of Evrimata: Engineering and Physics Jurnal Kebidanan dan Kesehatan Jurnal Ilmu Administrasi Publik PESHUM JESS (Journal of Educational Social Studies) Jurnal Pendidikan Teknik Mesin Jurnal El-Thawalib JURNAL MANAJEMEN DAN BISNIS INDONESIA ABHATS: Jurnal Islam Ulil Albab Nemui Nyimah Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Ipso Jure Jurnal Manajemen FE-UB Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Kendali Teknik dan Sains
Bambang Irawan
Universitas Mulawarman
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Keanekaragaman Jamur Patogen pada Buah Kapulaga (Amomum compactum Sol. ex Maton) di Pasar Tradisional Kecamatan Kedaton, Bandar Lampung Rahayu, Reni; Yulianty, Yulianty; Azizah, Enur; Irawan, Bambang
Jurnal Penelitian Inovatif Vol 6 No 1 (2026): JUPIN Februari 2026
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jupin.2162

Abstract

Buah kapulaga (Amomum compactum Sol ex. Maton) merupakan rempah unggulan yang bernilai tinggi. Buah kapulaga memiliki manfaat yang beragam. Oleh sebab itu, tingkat permintaan terhadap komoditas ini terbilang tinggi. Namun, produksi buah kapulaga sering kali terganggu akibat adanya serangan jamur patogen mulai dari tahap prapanen hingga pascapanen, yang dapat menurunkan kualitas buah kapulaga, sehingga berpotensi menyebabkan kerugian serta menimbulkan resiko kesehatan akibat mikotoksin dari jamur patogen. Penelitian ini bertujuan untuk mengidentifikasi keanekaragaman dan marga dominan dari jamur patogen pada buah kapulaga yang dijual di pasar-pasar tradisional. Sampel dikumpulkan dari tujuh pasar tradisonal di Kecamatan Kedaton, Bandar Lampung, menggunakan metode Purposive Sampling. Sampel diisolasi pada media PDA. Pengamatan mikroskopis dilakukan dengan menggunakan metode kultur slide. Hasil karakterisasi kemudian dicocokkan dengan buku identifikasi. Data penelitian dianalisis secara deskriptif untuk mengetahui kenekaragaman dan marga dominan dari jamur patogen yang menyerang buah kapulaga. Hasil yang didapatkan menunjukkan bahwa keanekaragaman jamur patogen pada buah kapulaga dari pasar tradisional kecamatan Kedaton adalah Aspergillus, Rhizopus, dan Penicillium, dengan Aspergillus sebagai marga dominan. Kemunculan dan dominansi Aspergillus dikarenakan tingginya tingkat toleransi terhadap perubahan lingkungan di sekitarnya. Hal tersebut mencerminkan kurangnya pengendalian mutu pascapanen pada buah kapulaga di pasar tradisional. Dengan demikian, identifikasi jamur patogen pada buah kapulaga berbasis hasil penelitian ini dapat digunakan sebagai acuan dalam membantu meningkatkan kualitas buah kapulaga pascapanen serta keamanan pangan bagi konsumen.
Implementasi CNN Mobilenetv2 untuk Klasifikasi Kanker Kulit Dermatoskopi Digital Medis Sari, Desi Permata; Irawan, Bambang
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.6050

Abstract

Skin cancer is one of the most dangerous diseases that can become fatal if not detected accurately at an early stage. Conventional visual diagnosis performed by dermatologists still faces limitations due to subjectivity and dependence on clinical experience. Therefore, an objective, fast, and efficient diagnostic support system is required. Recent advances in artificial intelligence, particularly deep learning, enable the utilization of dermatoscopic images to assist in automated skin cancer detection. This study aims to implement and evaluate the performance of the Convolutional Neural Network (CNN) MobileNetV2 architecture for classifying skin cancer images into two classes, namely benign and malignant. The research adopts an experimental deep learning approach using the HAM10000 dataset, which consists of 10,015 dermatoscopic images. The data undergo preprocessing stages including image resizing, normalization, and data augmentation, followed by stratified splitting into training, validation, and testing sets. The MobileNetV2 model is trained using a transfer learning strategy through two stages, namely head training and fine-tuning. Experimental results show that the proposed model achieves an accuracy of 82.42%, with a malignant class precision of 64.04% and a recall of 19.93%. Although the model demonstrates strong performance in identifying benign lesions, its ability to detect malignant cases remains limited. These findings indicate that MobileNetV2 has potential as a clinical decision support system for skin cancer classification, but further improvements are required to enhance sensitivity toward malignant lesions.
Comparison of Graph-Based Filtering and Non-Local Means Techniques in Diabetic Retinopathy Classification Gita Antar Wulan; Irawan, Bambang; Faqih, Ahmad; Putra, Aris Pratama; Nurhakim, Bani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1869

Abstract

Classification of diabetic retinopathy (DR) based on retinal images is important for early detection, but is often hampered by poor image quality such as noise, uneven lighting, and low contrast. This study analyzes the effect of applying three image filtering techniques, namely Graph Laplacian Filtering (GLF), Graph Convolutional Network (GCN), and Non-Local Means (NLM), on improving the performance of Diabetic Retinopathy classification. The three methods were compared with a baseline model without filtering using VGG16 and evaluated through accuracy, AUC, loss, and image quality metrics such as PSNR, SSIM, MSE, and RMSE.The results showed that graphical and spatial filtering did not always improve classification performance, as VGG16 Fine-Tuning without filtering achieved the highest accuracy of 97.84%. Combinations with NLM, GCN, and Graph Laplacian resulted in lower accuracy due to the smoothing effect that removed important microfeatures on the retina. However, NLM remained effective in reducing noise without disturbing edge structures. These findings confirm that improving image visual quality does not always correlate with CNN accuracy, so preprocessing must focus on preserving diagnostic features.  
Optimalisasi masyarakat melalui Pendidikan Life Skill berbasis Teknologi Desa Tanjung Setia Subandi, Subandi; Irawan, Bambang; sya’adi, Nur; Apriyadi, Muchsin
Wisanggeni: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Desember (2025) Wisanggeni : Jurnal Pengabdian Masyarakat
Publisher : Institut Agama Islam Ma’arif NU (IAIMNU) Metro Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/wisanggeni.v5i2.6782

Abstract

This study aims to analyze the effectiveness of technology-based life skill education in empowering the community of Tanjung Setia Village, Krui, Pesisir Barat. The village has significant economic potential as a marine tourism destination; however, most residents still rely on traditional livelihoods with limited digital skills and business management capabilities. The community service program employed the Asset-Based Community Development (ABCD) framework to identify, develop, and utilize local assets while enhancing life skills and technological capabilities. Methods used included observation, interviews, Focus Group Discussions (FGDs), training, and continuous mentoring. The results indicated significant improvements in practical skills, digital media usage, online marketing strategies, business productivity, and economic independence of the community. Active participation in digital communities also strengthened collaborative networks and ensured program sustainability. These findings confirm that technology-based life skill education is a strategic instrument for enhancing community welfare and maximizing local economic potential.
Comparison of TF-IDF and Word2Vec Feature Representations for Emotion Classification of Tokopedia E-Commerce Review Using LinearSVC Azzahra, Fitriyani; Irawan, Bambang; Faqih, Ahmad; Pratama, Denni; Kurnia, Dian Ade
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2215

Abstract

This study aims to compare the performance of TF-IDF and Word2Vec feature representations for emotion classification of Tokopedia e-commerce reviews using the LinearSVC algorithm. The dataset used is PRDECT-ID, which consists of 5,400 Indonesian-language reviews labeled with positive and negative emotions. The preprocessing stages include case folding, non-alphabet character cleaning, slang normalization, stopword removal, Sastrawi stemming, and emoji handling. Feature extraction was performed using TF-IDF and Word2Vec, after which the models were trained using LinearSVC and evaluated through 5-Fold Cross Validation and holdout testing. The experimental results show that TF-IDF achieves better performance, with an accuracy of 0.65, a macro-F1 score of 0.645, and a Cohen’s Kappa value of 0.294. Meanwhile, Word2Vec attains an accuracy of 0.58 and a macro-F1 score of 0.540. These findings indicate that TF-IDF is more effective for short and informal texts characteristic of Indonesian e-commerce reviews.
Internalisasi Budaya Sekolah Hijau melalui Manajemen Sampah Mandiri di Pondok Pesantren Viareco, Hariestya; Hutagalung, Winny Laura Christina; Rodhiyah, Zuli; Handika, Rizki Andre; Anggraini, Febri Juita; Irawan, Bambang; Ilfan, Freddy; Putra, Tri Syukria; Putra, Fernando Mersa; Guntur, Muhammad; Mawaddah, Merisa Rahma
Qardhul Hasan: Media Pengabdian kepada Masyarakat Vol. 12 No. 1 (2026): Qardhul Hasan: Media Pengabdian kepada Masyarakat
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/qh.v12i1.23669

Abstract

Pengelolaan sampah di Pondok Pesantren Darussalam Al-Hafidz masih menghadapi tantangan berupa rendahnya literasi lingkungan dan keterbatasan fasilitas pengolahan sampah organik, yang berdampak pada penumpukan limbah. Kegiatan pengabdian ini bertujuan menginternalisasi budaya sekolah hijau melalui penguatan manajemen sampah mandiri berbasis edukasi dan praktik langsung. Pendekatan Learning by Doing diterapkan melalui sosialisasi pemilahan sampah (organik, anorganik, dan B3), penyediaan tempat sampah terpilah, serta demonstrasi komposting menggunakan bioaktivator EM4. Evaluasi menggunakan kuesioner terhadap 29 santriwati menunjukkan peningkatan signifikan pada seluruh indikator. Pengetahuan tentang proses komposting meningkat dari 24% menjadi 100%, sementara kesadaran pemilahan sampah mencapai 100% setelah program berlangsung. Dukungan sosial dan ketersediaan fasilitas juga mengalami perbaikan yang memperkuat keberlanjutan program. Upaya internalisasi ini terbukti efektif dalam mendorong perubahan perilaku dan membangun fondasi pengelolaan sampah mandiri di lingkungan pesantren. Namun, keberlanjutan budaya sekolah hijau memerlukan monitoring dan komitmen berkelanjutan dari pengurus yayasan.
Regional Autonomy and Governance Challenges: An Analytical Study on Policy Effectiveness Irawan, Bambang; Zaman, Wildan; Sembiring, Tamaulina Br; Lubis, Arief Fahmi
Ipso Jure Vol. 2 No. 1 (2025): Ipso Jure - February
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/xgpt7847

Abstract

Regional autonomy in Indonesia aims to increase the efficiency and effectiveness of government administration through decentralization. However, its implementation still faces various challenges, especially in fiscal inequality, the quality of public services, and transparency and accountability of governance. Regional dependence on central transfer funds hinders financial flexibility, while disparities in human and administrative capacity exacerbate development inequality. Other obstacles include a sluggish bureaucracy, low use of information technology, and weak supervision of regional policies, which contribute to the rampant practice of corruption and maladministration. This study uses a normative juridical approach by analyzing Law Number 23 of 2014 concerning Regional Government as well as literature studies to evaluate the effectiveness of local government governance. The results of the study show that improving the fiscal transfer mechanism, optimizing Regional Original Revenue (PAD), digitizing services, and strengthening the supervision system and public participation are strategic steps in increasing the effectiveness of regional autonomy. Policy reform based on good governance and transparency is a key factor in creating an accountable and responsive local government to the needs of the community. With these steps, it is hoped that local governance in Indonesia can run more optimally and sustainably
From Narrative of Innocence to Theology of Presence: Barthesian Semiotic Analysis on "Aku Ada" by Panji Sakti: Dari Narasi Kepolosan Menuju Teologi Kehadiran: Analisis Semiotika Barthesian pada Lagu ’Aku Ada’ Karya Panji Sakti Haikal, M. Arsyad; Heri Kuseri; Moh. Ikhwan Faidlur Ruhman; Bambang Irawan
ABHATS: Jurnal Islam Ulil Albab Vol. 7 No. 1 (2026): Maret 2026
Publisher : Direktorat Pondok Pesantren Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/abhats.vol7.iss1.art9

Abstract

This study examines the phenomenon of meaning transformation in the song Aku Ada by Panji Sakti, a work that presents a unique anomaly in the landscape of Indonesian Sufi music. Contrary to the general assumption that Sufi works are born from complex adult contemplation, genetic data from this research reveals that the song originated from the author’s spontaneous interaction with kindergarten children. The central problem lies in how a text born from the innocence of “childhood narrative” can transcend into a profound theological text for adult listeners. This study aims to dismantle this semiotic mechanism using a qualitative method with Roland Barthes’ Semiotics approach, supported by exclusive interview data as genetic context. The results reveal three key findings. First, at the connotation level, the children’s impulse to immediately help a friend (“when falling”, “when hungry”) is a pure manifestation of fitrah (innate nature), paralleling the ethics of Futuwwah. Second, at the myth level, the negation of fictional figures (“I am not Superman”) serves as a deconstruction of the “myth of power” and a critique of modern human ego inflation, while affirming the realism of physical presence. Third, the inspiration from the story of Prophet Ibrahim seeking a dining companion provides an intertextual basis for the ambiguity of the pronoun “Aku” (I), where the profane act of sharing food is reinterpreted as God’s manifestation (tajalli) through the availability of His servant. The conclusion confirms The Death of the Author theory, where the author’s pedagogical intent is surpassed by the text’s theological meaning production, proving that the path to gnosis (makrifat) can be found through the innocence of human nature. [Penelitian ini mengkaji fenomena transformasi makna dalam lagu ’Aku Ada’ karya Panji Sakti, sebuah karya yang menunjukkan anomali unik dalam lanskap musik sufistik Indonesia. Berbeda dengan asumsi umum bahwa karya sufistik lahir dari kontemplasi dewasa yang rumit, data genetik penelitian ini mengungkap bahwa lagu tersebut bermula dari interaksi spontan penulis dengan anak-anak Taman Kanak-Kanak (TK). Permasalahan utama penelitian terletak pada bagaimana teks yang lahir dari kepolosan ”narasi kanak-kanak” dapat mengalami transendensi makna menjadi teks teologis yang mendalam bagi pendengar dewasa. Penelitian ini bertujuan untuk membongkar mekanisme semiotis tersebut dengan menggunakan pendekatan kualitatif dan pisau analisis Semiotika Roland Barthes, didukung oleh data wawancara eksklusif sebagai konteks genetik. Hasil penelitian menunjukkan tiga temuan kunci. Pertama, pada tingkat konotasi, impuls anak-anak untuk segera menolong teman (”saat jatuh”, ”saat lapar”) merupakan manifestasi murni dari fitrah yang sejajar dengan etika futuwwah. Kedua, pada tingkat mitos, negasi terhadap tokoh fiksi (”Aku bukan Superman”) berfungsi sebagai dekonstruksi terhadap ”mitos kekuatan” (myth of power) dan kritik terhadap inflasi ego manusia modern, sekaligus menegaskan realisme kehadiran fisik. Ketiga, inspirasi kisah Nabi Ibrahim a.s. yang mencari teman makan menjadi landasan intertekstual bagi ambiguitas pronomina ”Aku”, di mana aksi profan berbagi makanan dimaknai ulang sebagai manifestasi (tajalli) Tuhan melalui ketersediaan hamba-Nya. Simpulan penelitian ini menegaskan berlakunya teori The Death of the Author, di mana intensi pedagogis pengarang dilampaui oleh produksi makna teologis teks, membuktikan bahwa jalan menuju makrifat dapat ditemukan melalui kepolosan fitrah manusia.]
Pengenalan Emosi Ucapan Menggunakan Bidirectional Long Short Term Memory Pada Podcast Malaka Kharisma Dwi Pratiwi; Bambang Irawan; Otong Saeful Bachri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9432

Abstract

Penelitian ini mengembangkan sistem pengenalan emosi ujaran berbahasa Indonesia menggunakan metode Bidirectional Long Short Term Memory (BiLSTM) dengan sumber data berupa ujaran alami dari podcast Malaka. Dataset diperoleh dari audio YouTube yang di konversi ke format WAV, disegmentasi, serta dilabeli emosi marah, netral, sedih dan senang berdasarkan acuan dataset CREMA-D. Tahapan prapemrosesan meliputi silce removal, normalisasi sinyal, dan augmentasi data. Ektrasi ciri dilakukan menggunakan Mel-Frequency Cepstral Coefficients (MFCC) beserta fitur delta dan delta-delta untuk mempresentasikan karakteristik spektral dan temporal sinyal suara. Model Bidirectional Long Short Term Memory dilatih dengan pembagian data 80% data latih, 10% data validasi, dan 10% data uji, serta dioptimasi dengan menggunakan algoritma adam. Hasil pengujian menunjukan bahwa model mencapai akurasi terbaik sebesar 80.32% dengan nilai pecision, recall, dan f1-score yang relatif seimbang pada seluruh kelas emosi. Hasil ini menunjukan bahwa Bidirectional Long Short Term Memory (BiLSTM) efektif dalam memodelkan dinamika temporal emosi pada ujaran podcast berbahasa indonesia.
Analisis Tingkat Stres Pengguna Twitter pada Menfess “Tanyarl” Menggunakan IndoBERT Nadia Nur Alifiana; Bambang Irawan; Otong Saeful Bachri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9433

Abstract

Twitter merupakan salah satu media sosial berbasis teks yang banyak dimanfaatkan pengguna sebagai ruang untuk mengekspresikan kondisi emosional dan tekanan psikologis secara terbuka, khususnya melalui akun menfess yang bersifat anonim. Karakter anonim tersebut mendorong pengguna untuk menyampaikan keluhan, perasaan tertekan, dan stres yang dialami dalam kehidupan sehari-hari. Namun, tingginya volume dan variasi bahasa informal dan kontekstual pada menfess menyebabkan proses identifikasi tingkat stres secara manual menjadi tidak efisien dan rentan terhadap subjektivitas. Penelitian sebelumnya umumnya masih terbatas pada klasifikasi biner atau menggunakan metode konvensional yang kurang mampu menangkap konteks semantik bahasa Indonesia secara optimal. Berdasarkan permasalahan tersebut, penelitian ini bertujuan untuk mengembangkan sistem deteksi tingkat stres pengguna Twitter pada menfess “Tanyarl” dengan memanfaatkan pendekatan kecerdasan buatan melalui fine-tuning model IndoBERT. Data unggahan (tweet) dikumpulkan melalui proses crawling menggunakan Harvest-Tweet, kemudian diproses melalui tahapan preprocessing teks dan pelabelan semi-otomatis ke dalam tiga kategori tingkat stres, yaitu stres, tidak stres, dan netral. Dataset yang telah diproses selanjutnya digunakan untuk melatih model IndoBERT dengan pendekatan klasifikasi multi-kelas. Hasil evaluasi menunjukkan bahwa model IndoBERT mencapai nilai akurasi sebesar 84% serta macro F1-score sebesar 85%, yang menandakan performa model yang konsisten pada seluruh kelas stres. Hasil ini membuktikan bahwa IndoBERT efektif dalam memahami konteks linguistik dan ekspresi emosional pada teks media sosial berbahasa Indonesia. Kontribusi penelitian ini meliputi penerapan model transformer untuk mendeteksi tingkat stres berbasis menfess anonim, pengembangan klasifikasi multi-kelas stres, serta penyediaan bukti empiris efektivitas IndoBERT dalam analisis kesehatan mental berbasis data media sosial.
Co-Authors Abdul Khamid Abdul Kolik Abdullah Karim Abdullah Karim Achmad Djumlani Achmad Fikri Achmad Nurmandi Adam Idris Adam Malik Adelia, Nur Hidayah Adhani, Karenina Dwi Adigunawan, Adigunawan Affan, Muhammad Agung Prayitno Agustin, Dania Safira Agustinus Lejiu Agustinus Suryantoro Ahmad Faqih Aisa Tri Agustini Ajeng Pratiwi Akbar, Paisal Albertus Maqnus Soesilo Alfarisy, Fariz Kustiawan 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 Angela, Bigael Yunisca Angelia, Monica Angger Bagus Prasetiyo Ani Purwati Ankardiansyah Pandu Pradana Anthonius Margono Apriyadi, Muchsin Ardian Nugraha Putra Ardiano, Muhammad Rayyan Ardyansyah, Luthfi Arief Fahmi Lubis Arieyasmieta, Wildan Lutfi Arisandi, Bobi Ariz , Naufal Arniti, Ni Ketut Ary Prabowo Aryasatya, Muhammad Fathi Aryo Wibisono Asep Maulana, Asep Astriani, Linda Attaufiqi, Agil Fahmi Axel Prasetyo Sudiro azharia, Jenny Clarisa azis, santowi Azizah, Enur Azizah, Maharani Azzahra, Fitriyani Badarita, Badarita Ballianie, Novia Bambang Suharno Bamer, Ircha Altri Banun Binaningrum Barelang, Syaeful Bachri Bato, Bulan Erika Bhimo Rizky Samudro Budi Rahayu Budi Tjahjono Cathas Teguh Prakoso Chairi, Minal Charles Raymond Jeffrey CHIANI, SARASWATI HAYLIAN Christina Nugroho Ekowati, Christina Nugroho Christover, Deandlles Cicih Ratnasih Cin, Muksin Cornelia, Geby Dan Buntu Paranoan Darmawan , Ade Daryono Daryono, Daryono Dayutama, Theodorus Dedy Miswar Desi Permata Sari Didik Bagus Setiawan Dini Zulfiani Djumadi . Dudik Djaja Sidarta Dyah Mutiarin, Dyah Dyah Rahayuning Perwitasari Efriliyanti, Lia Eki Darmawan Eko Fuji Pangestu Eko Priyo Purnomo Endang Nurcahyani Enos Paselle Erizal Erlangga, Anugrah Danial Eva Sri Handayani Pongtuluran Fadilah, Muhammad Rizky Faisal Nasar Bin Madi Fajar Apriani Fakhira, Dhia Akifah Farhanuddin Jamanie Fathurrahman Fathurrahman Fatullah, Iqbal Fauzi, Dzikri Ahmad Fauzia, Gina Febri Juita Anggraini Fernando Mersa Putra Fetia Harsa Fetriasih, Riska Fina Marshella Finnah Fourqoniah Firda Safira, Masnoni Firyal Nabila Ulya H.M Fitri, Yunika Fransiska Xeviria Furqanul Hakim Gea Cita Meiratri Ghaffar, Dzaky Abdul Gintings, M. Fajar Mediyawan Gintings, Mohammad Fajar Mediyawan Gita Antar Wulan Giyarsi, Giyarsi Guspani, Reta Gusti Naufal Rizky Perdana Hafizh Rahman Hakim, Muhammad Haikal, M. Arsyad Hamid Abdillah Hamzah, A. Hadian Pratama Hanif, Athal Hapidah, Hapidah Haqqi, Abdul Harfiani, Nabela H.N. Hariestya Viareco Harits, Dimaz Harmitalia, Mita Hartutiningsih . Hayati, Zahratul Hendra Wibowo Hului Hendra Wibowo Hului Hengki Satrisno Heri Kuseri 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 Ilfan, Freddy Ilmi, Fikri Ikmalul Indah Purnamawati Indarto, Kus Innova, Zacky Iradhad Taqwa Sihidi Iranas, Ady Irwansyah Isnaeni Yuliani Izma, Muhammad Athallah JAHIRUDIN, JAHIRUDIN Jorgi Rivaldo Jubba, Hasse Juita, Febri Julianti, Manda Dwi Juniarti, Eni Jusman, Darren Kadja , Deky Baleanus Kafa, Mushfi Abdulloh Kartika Kartika Kartini Kartini Katiga Capricorna, Epsilona Kezia Arum Sary Khaerudin, Akhmad Khaerunnisa, Rindiyani Khair . Khairina, Etika Kharisma Dwi Pratiwi Kris Witono Kundang Karsono Kurnia, Dian Ade Kus Indarto Kus, Indarto Kusdaryanto, Ardo Kustantina, Kustantina Kusuma Handayani, Kusuma Laisah, Nur Latifatus Safariyah Leonardo, Nicholas Lidya Lin Purwanti Ligery, Finny Liky Faizal Lisdawati Lisdawati Liza Marina Loilatu, Mohammad Jafar Lustari, Reli Luthfi Sultan Jauhary Lito M Ghiffari Ramadhan Made Kutanegara, Pande Mahfut Maimun Maimun Mappaelo Maradona Abdullah Mardeli Mardeli Mardianti, Yolanda Martitah Masjaya . Masjaya Masjaya Maskud, Maskud Maulana, Muhammad Evan Maulana, Wahyu Riski Maulida, Azkiyatul Mawaddah, Merisa Rahma Mayasari, Windatania Meilinda, Nadia Mirawati Yanita Mochammad Iqbal Fadhlurrohman Moh. Hidayatullah Moh. Ikhwan Faidlur Ruhman Mohammad Taufik Mohammad Taufik Mohammad Taufik Mubarok, Muhammad Zaqi Muhamad Tamamul Iman Muhammad Bagus Sistriatmaja Muhammad Dinar, Yusadiningrat Muhammad Fikri Setiawan Muhammad Guntur Muhammad Guntur, Muhammad Muhammad Hidayat Muhammad Ilham Effendy Muhammad Imaduddin Muhammad Nizar Muhammad Noor Muhammad Raihan MUHAMMAD REZA FAHLEVY Muhammad Salman Nasyirudien Muhammad Taufik Hidayat Muhammad Zaini Muhammad Zaki Muhimatul Ifadah Muktiono Murni Murni Mutia Dewi Mutmainni Nadia Nur Alifiana Najahatul Hananah Napitupulu, Richard RP Nida Handayani Nindita, Annisa Ayu Nisa, Hoirun Nizirwan Anwar Nova Eliza Nova Sintia Dewi Sitorus Novalina Nurul Imama Noviandi Noviandi Noviantika, Stefanny Amalia Nugroho Susanto, Gregorius Nur Ariesanto Ramdhan Nur Fitriyah Nur Handayati Nur Hasan Nur Ilmiah Rivai Nur ‘Azah Nurdin, Akhmad Nurhakim, Bani NURJANNAH, ANA Nurmawati, Subekti Nurrofiq, Ainan Zaky Nursaidah Nursaidah, Nursaidah Oktaviani, Ratna Ordas Dewanto Otong Saeful Bachri Pandoyo, Pandoyo Peratama, M. Bayu Pidesia . Poppy Andriany Pramuja, Trisena Prasetiyo, Daniel Pratama, Denni Pratama, Fristian Adi Pratama, Rizky Pratiwi, Intan Najma Prawita Sari, Bening Prayoga, Agung Premana, Agyztia Prihartono, Willy Prihartono Purnama Agustin, Kharisma Putra, Aris Pratama Putra, Farrel Reyhan Putra, Tri Syukria Putri, Cici Amelia Putri, Nadia Ananda Putri, Tasya Kamila Putri, Vany Alia Putri, Yoana Nabilah Qurani, Suci Ayu Qurrotaini, Lativa r. 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Sundari Meganingrum, Alpa Sundi, Venni Herli Supena, Stevy Hanny Surpendi . Surya Nanda Situmorang Suryono Suryono Susilo Utomo, Heryono Syafitri, Ranny Aulia Syahrani . Syahrul Borman Syaifurrahim Azhari Syamsul Hadi Syaogi, Moh. Syapira, Syaiba Syaputra, Ravista Meizen sya’adi, Nur Syifa Min Zaytun, Salwa Tamaulina Br Sembiring tamlica, Agam Tampubolon, M. Ahsan Tan, Firwan Tasman, Alfadhli Thalita Rifda Khaerani Theresia, Maya Thoriq, Eaden Ahmed Thriwaty Arsal Tiani, Lilis Tien Rohmatin, Tien Tito Winnerson Sitanggang, Tito Winnerson Tjahjojo, Budi Tjokro Prasetyadi, Tjokro Totalia, Sherly Sustantien Tri Syukria Putra Tugiyono Tundjung Tripeni Handayani, Tundjung Tripeni Turkey, Mohamed Utami, Intan Valentino Aris Viareco, Hariestya Vinan Viyus Wahid, Muhammad Zainul Wibowo, Rahmat Catur Wijaya, Valentino Wildan Zaman Winda Khoritotul Jannah Windi Astuti Yahya, Samuel Yofita Sandra Yogi Pasca Pratama, Yogi Pasca Yohani . 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