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Ema Utami

Universitas Amikom Yogyakarta

Author-ID : 259410

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Analisis Sentimen Pada Kurikulum Merdeka Menggunakan Word2Vec Dan Algoritma Long Short-Term Memory Alin, Octhavia; Utami, Ema
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6516

Kurikulum Merdeka, sebagai penyempurnaan dari Kurikulum 2013, telah memicu berbagai opini publik sejak diterapkan pada Tahun Ajaran 2022/2023. Opini-opini ini, yang dibagikan melalui platform media sosial seperti Twitter dan YouTube, mencerminkan pandangan beragam dari masyarakat. Penelitian ini menganalisis sentimen terhadap Kurikulum Merdeka menggunakan algoritma LSTM yang dipadukan dengan Word2Vec. Dataset yang digunakan terdiri dari 23.577 teks dari Twitter dan YouTube, yang dikategorikan menjadi sentimen negatif, positif, dan netral. Penelitian ini membandingkan dua arsitektur Word2Vec. Skip-gram dan Continuous Bag of Words (CBOW), serta mengeksplorasi pengaruh optimizer (Adam dan RMSprop) dan learning rate terhadap kinerja model. Hasil penelitian menunjukkan bahwa arsitektur CBOW, yang dikombinasikan dengan optimizer Adam dan learning rate 0.001, memberikan hasil yang paling akurat dan stabil, dengan akurasi mencapai 97% dan tingkat loss yang rendah. Skip-Gram lebih sensitif terhadap perubahan parameter, yang menyebabkan ketidakstabilan kinerja. Penelitian ini menegaskan efektivitas kombinasi Word2Vec dan LSTM untuk analisis sentimen, dengan CBOW dan optimizer Adam sebagai konfigurasi yang paling optimal

ANALYSIS OF DIGITAL IMAGE RECOGNITION OF INDONESIAN SIGN LANGUAGE USING THE DEEP LEARNING CNN ARCHITECTURE VGG19 METHOD Prayoga, Dimas; Utami, Ema; Ariatmanto, Dhani
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.7353

This study examines the application of the CNN method with the VGG19 architecture for digital image analysis in recognizing Indonesian sign language. The data used in this study is the BISINDO data set type, with 8,814 samples divided into 26 alphabetical categories. Implementing sign language recognition using the VGG19 architecture produces good accuracy results, reaching 93.24% with epoch 25 (without hyper-parameters tuning).These results confirm the model's extraordinary ability in image recognition and performing precise analysis. However, the results of this study can be improved again by performing Hyper parameters tuning on the architecture used, namely VGG19, by changing certain variables that affect increasing accuracy. Other aspects can be improved to achieve optimal performance, considering the excellent results. By integrating modern hyper-parameter tuning approaches and incorporating a variety of additional data, the model generalization is expected to be improved, leading to higher accuracy in many real-world settings

Evaluation of E-Learning Usability Based on ISO 25010 with Hofstede's Cultural Dimensions as Moderation: A PLS-SEM Study in Higher Education Januhari, Ni Nyoman Utami; Setyanto, Arief; Kusrini, Kusrini; Utami, Ema; Béjar, Rodrigo Martínez
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.45738

Although e-learning has rapidly advanced in higher education, many platforms still fall short of meeting user needs due to a lack of integration between usability and cultural dimensions. This study explores how usability influences user satisfaction with e-learning platforms, with cultural dimensions based on Hofstede’s model examined as moderating variables. Usability Quality (QiU) is assessed using the ISO/IEC 25010 framework, which includes five key elements: effectiveness, efficiency, user satisfaction, risk avoidance, and contextual relevance. A total of 384 students from private universities in Bali participated in the study, representing a diverse range of academic disciplines. Using SmartPLS and Partial Least Squares Structural Equation Modeling (PLS-SEM), the analysis revealed that usability has a significant effect on user satisfaction (T=7.528, β=0.270), and cultural variables also play a substantial role (T=21.094, β=0.704). Although the moderating effect of culture was statistically significant (T=2.379, β=0.042), its impact was relatively modest compared to the direct effect of usability. Among the usability components, efficiency emerged as the most influential factor. Regarding cultural dimensions, individualism versus collectivism was found to have the strongest effect. These findings emphasize the importance of designing e-learning systems that are both usability-driven and culturally sensitive, ensuring alignment with user expectations and the educational context.

PENGARUH KEPEMILIKAN PUBLIK DAN KEPEMILIKAN INSTITUSIONAL TERHADAP PENGHINDARAN PAJAK PADA PERUSAHAAN FNB YANG TERDAFTAR DI BEI PERIODE 2015–2019: THE EFFECT OF PUBLIC OWNERSHIP AND INSTITUTIONAL OWNERSHIP ON TAX AVOIDANCE IN FNB COMPANIES LISTED ON THE IDX IN THE 2015–2019 PERIOD Ema Utami; Sri Wahyuni
Journal of Business, Social, Management, and Technology Vol. 1 No. 1 (2025): June 2025
Publisher : CV. Dhanesa Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64195/j-bsmtech.v1i1.3

Penelitian ini bertujuan untuk mengetahui pengaruh kepemilikan publik dan kepemilikan institusional terhadap penghindaran pajak pada perusahaan sektor Food and Beverages yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2015–2019. Metode pengambilan sampel yang digunakan dalam penelitian ini adalah purposive sampling, dengan kriteria laporan keuangan yang memuat data-data yang dibutuhkan dan berakhir setiap 31 Desember, serta memiliki laba bersih negatif. Yang kemudian menghasilkan 65 laporan keuangan tahunan dari perusahaan Food and Beverages yang memenuhi syarat selama lima tahun berturut-turut. Data dianalisis menggunakan metode Partial Least Squares (PLS) melalui bantuan software WarpPLS versi 7.0. Hasil analisis menunjukkan bahwa baik kepemilikan publik maupun kepemilikan institusional memiliki pengaruh negatif terhadap penghindaran pajak. Artinya, semakin besar proporsi kepemilikan publik dan institusional dalam suatu perusahaan, maka semakin kecil kecenderungan perusahaan tersebut untuk melakukan penghindaran pajak. Temuan ini menunjukkan bahwa keterlibatan pemilik saham publik dan institusi dapat meningkatkan pengawasan terhadap manajemen perusahaan, sehingga mendorong kepatuhan perpajakan. Penelitian ini memberikan implikasi penting bagi regulator dan investor, khususnya dalam meningkatkan transparansi dan tata kelola perusahaan yang baik melalui struktur kepemilikan yang sehat.

VARFIS: A Hybrid Neuro-Fuzzy Model for Intelligent Microclimate Control in Black Soldier Fly Farming Systems Yunita Sartika Sari; Kusrini; Ema Utami; Ferry Wahyu Wibowo
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46610

Maintaining optimal microclimate conditions is essential for Black Soldier Fly (BSF) cultivation, yet traditional systems often struggle with dynamic environmental changes. This study proposes the Vector Autoregressive-Fuzzy Inference System (VARFIS), a hybrid model combining Vector Autoregression (VAR) and Adaptive Neuro-Fuzzy Inference System (ANFIS), to enhance temperature and humidity control in BSF insectariums. VARFIS adapts to uncertainty using probabilistic learning, achieving a 48% reduction in prediction error (MAPE = 1.36%) and high accuracy (R² = 0.9695), outperforming standalone VAR and ANFIS models. The model effectively captures daily climate fluctuations, improving larval growth efficiency and waste conversion. However, it remains limited in handling extreme events such as sudden heatwaves or humidity spikes, indicating the need for enhancements like adaptive fuzzy rule tuning and integration of physical constraints. VARFIS presents a scalable solution for intelligent microclimate management, supporting sustainable insect farming and circular economy goals. This work contributes to precision agriculture by offering data-driven tools for resilient environmental control.

Inception-ResNet-V2 The U-Net Encoder for Road Segmentation using Sentinel 2A Yanuargi, Bayu; utami, ema
ComTech: Computer, Mathematics and Engineering Applications Vol. 16 No. 2 (2025): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v16i2.12089

Updating road network maps is essential for transportation services, as incomplete or inaccurate maps can lead to inefficiencies and diminish service quality. The online transportation industry generates vast amounts of GPS data as drivers navigate, which is valuable for mapping road networks and improving traffic management. However, since drivers do not cover all roads, satellite imagery plays a crucial role in identifying areas that are not mapped. By combining GPS data as labels with satellite imagery, the extraction of new road networks becomes more accurate. This research employs a deep learning Convolutional Neural Network (CNN) with the U-Net architecture for road segmentation, allowing for the identification of new paths. Two different encoders are tested in this research: Inception-ResNet-V2 and a pure U-Net encoder. The Inception-ResNet-V2 encoder achieves an accuracy of 91.3%, while the pure U-Net encoder achieves 90.7%. In terms of Dice Loss, the models record values of 0.051 and 0.08, respectively. The research highlights the effectiveness of different U-Net encoders in road network segmentation. With high accuracy and low Dice Loss, this approach provides a reliable method for automatically updating road maps. It has potential applications in navigation systems, urban planning, and AI-driven intelligent transportation systems.

Praktik Murabahah Emas Pada Bank Syariah di Indonesia Berdasarkan Tinjauan Hukum Fiqih Muamalah Juni Marianti, Dina; Rasyida, Zulfa; Utami, Ema
At-Tahdzib: Jurnal Studi Islam dan Muamalah Vol 10 No 2 (2022): At-Tahdzib
Publisher : Sekolah Tinggi Agama Islam At-Tahdzib, Ngoro, Jombang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61181/at-tahdzib.v10i2.275

Background. This study exists to examine the concept of investing or saving gold in Islamic banks which is carried out with the murabahah (buying and selling) financing model. Researchers found a problem, namely in the murabahah contract, and the gold payment mechanism which was carried out by means of fixed monthly installments.Aim. This paper aims to present the practice of gold murabahah at Bank Mandiri Syariah as an evaluation of the practice of saving gold with gold murabahah contracts in Islamic banksMethods. This study uses a comparative approach analysis method by analyzing the comparative law used by Islamic banks, namely the DSN MUI fatwa with a review of Fiqh muamalah according to the number of scholars. To explain this, the researcher uses a qualitative descriptive method with a muamalah fiqh approach, through this approach the researcher suggests how to practice according to the Shari'a.Results. The researcher found that there were differences of opinion among scholars regarding the concept of murabahah, and gold installments which the majority of scholars forbade it. Therefore, this study contributes to the analysis of the practice of saving gold in Islamic banks based on the fiqh muamalah review.

Graduation Prediction for Prospective University Students using Stacking Ensemble Learning Swastikawati, Claudia; Utami, Ema
Sistemasi: Jurnal Sistem Informasi Vol 14, No 6 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i6.5535

Student graduation is an important indicator in accreditation and serves as part of quality management strategies in higher education. Therefore, early prediction of student graduation is necessary to improve the effectiveness of data-driven admission decision-making. Differences in student graduation rates are influenced by a combination of academic, demographic, economic, and family factors. This study applies the Stacking Ensemble Learning method by combining Random Forest, K-Nearest Neighbors, and Support Vector Machine, with XGBoost serving as the meta-learner. The dataset used integrates student admission records and graduation status reports from the NeoFeeder PDDikti system, covering 16 academic and non-academic feature variables. The model was evaluated using accuracy, precision, recall, F1-score, and Area Under the Curve (AUC). The results show that the stacking ensemble model outperformed single models, achieving 82% accuracy, a weighted F1-score of 80%, and an AUC of 87.15% on the test data. These findings contribute both the selected feature set and the implementation of an ensemble model for building a machine learning–based prediction system, particularly in addressing data imbalance and improving classification accuracy.

Reading Comprehension Strategies in EFL Classrooms: A Cognitive and Sociolinguistic Approach in Indonesian Schools Utami, Ema; Rahmat, Rahmat
Jurnal Tahuri Vol 20 No 1 (2023): February 2023
Publisher : Jurusan Pendidikan Bahasa dan Seni FKIP Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tahurivol20issue1page40-58

This study analyzes students’ reading comprehension strategies in the context of English as a Foreign Language (EFL) instruction in Indonesian schools through a cognitive and sociolinguistic approach. It focuses on how Indonesian learners interpret English texts when their linguistic proficiency is limited and when the sociocultural context of the text differs from their local experiences. Employing a qualitative multiple-case study design, the research was conducted in three secondary schools in Bandung Regency. Data were collected through classroom observations, teacher and student interviews, and analysis of students’ reading exercises and written reflections. The analysis integrated the framework of cognitive reading strategies, metacognition, inference, prediction, and self-monitoring, with the sociolinguistic perspective of literacy events to explore the relationship between individual cognitive processes and the social context of learning. The findings reveal that students who actively employ predicting, questioning, and summarizing strategies demonstrate deeper textual understanding. Linking reading materials to local sociocultural contexts, such as environmental issues or community traditions, significantly enhances motivation and engagement. However, a gap remains between teacher-centered instruction and students’ social experiences of meaning-making. The study introduces the Cognitive-Sociolinguistic Reading Framework, which integrates cognitive and sociolinguistic theories to reconceptualize reading comprehension as both a mental and sociocultural practice, contributing theoretical and pedagogical insights for EFL education in Southeast Asia.

Meningkatkan Dataset CodeXGLUE dengan Representasi Abstract Syntax Tree (AST) Ter Seragam untuk Analisis Kode Lintas Bahasa Siswo Utomo, Mardi; Utami, Ema; Kusrini, Kusrini; Setyanto, Arief
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 5: Oktober 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025125

Dataset kode sumber populer seperti CodeXGLUE belum menyediakan representasi sintaksis yang diseragamkan untuk penelitian lintas bahasa pemrograman. Hal ini akan menyulitkan saat dilakukan penelitian yang berkaitan dengan analisis syntax-aware. Penelitian ini menyediakan representasi sintaksis yang diseragamkan untuk memperkaya dataset CodeXGLUE. Kami menghadirkan dataset CodeXGLUE-AST (Abstract Syntax Tree) seragam untuk enam bahasa pemrograman: Go, Java, JavaScript, Python, Ruby, dan PHP. AST diekstraksi menggunakan Tree-sitter dan disimpan dalam format JSON terstruktur. Untuk menjaga konsistensi antar bahasa, kemudian dilakukan klasifikasi dan pemetaan tipe node guna menyatukan representasi struktur AST. Evaluasi dataset menggunakan analisis kelengkapan struktur AST, pengukuran akurasi rekonstruksi kode menggunakan skor BLEU, serta pengujian ekstraksi Data Flow Graph (DFG) untuk menjaga ketergantungan antar variabel. Selain itu juga dilakukan pengujian pada tugas peringkasan kode menggunakan model CodeT5 yang menunjukkan peningkatan nilai BLEU, METEOR, ROUGE dan ROUGE-L hampir disemua percobaan saat menggunakan AST yang diseragamkan. Dengan representasi AST yang telah diseragamkan, diharapkan pengembangan model ML multi bahasa yang lebih andal dan sadar sintaksis untuk tugas-tugas seperti klasifikasi kode, pembuatan ringkasan kode, dan rekonstruksi program akan menjadi lebih berkembang. Abstract Popular source code datasets like CodeXGLUE have not yet provided a standardized syntactic representation for cross-programming language research. This data gap will complicate research related to syntax-aware analysis. This research provides a standardized syntactic representation to enrich the CodeXGLUE dataset. We present a uniform CodeXGLUE-AST (Abstract Syntax Tree) dataset for six programming languages: Go, Java, JavaScript, Python, Ruby, and PHP. The AST is extracted using Tree-sitter and stored in a structured JSON format. To maintain consistency across languages, classification and mapping of node types were then performed to unify the AST structure representation. The dataset evaluation used AST structure completeness analysis, code reconstruction accuracy measurement using BLEU scores, and Data Flow Graph (DFG) extraction testing to maintain variable dependencies. Additionally, testing was conducted on the code summarization task using the CodeT5 model, which showed an increase in BLEU, METEOR, ROUGE, and ROUGE-L scores in almost all experiments when using the standardized AST. With the standardized AST representation, it is hoped that the development of more reliable and syntax-aware multilingual ML models for tasks such as code classification, code summarization, and program reconstruction will become more advanced.

Co-Authors , Anggit Dwi Hartanto A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Abdul Malik Zuhdi Abdullah Ardi Abdullah, Riska K Abdulrahmat E Ahmad Abyan Fauzi Widihasani Achmad Yusron Arif Ade Pujianto Adi Surya Adiatma, Biva Candra Lutfi Adipradana, Candra Afif, Muhammad Sholih Afifah Nur Aini Afis Julianto Aflahah Apriliyani Afu Ichsan Pradana Agun Nurul Widiyanto Agung Budi Prasetio Agung Budi Prasetio Agung Budi Prasetio Agung Budi Prasetyo Agung Dwi Cahyanto Agung Nurhidayatullah, Rizqy Agung Susanto Agus Fathurahman Agus Fatkhurohman AGUS PURWANTO Agustin, Tinuk Agustina Srirahayu Agustina, Nova Ahmad Fauzi Ahmad Febri Diansyah Ahmad Fikri Iskandar Ahmad Fikri Iskandar Ahmad Fikri Iskandar Ahmad Hajar Ahsan, Muhammad Rafiqudin Ahsan, Muhammad Rafiqudin Ain, Quratul Ainul Yaqin Ainul Yaqin Ainul Yaqin Aji Said Wahyudi Hidayat Akbar Akbar Akhmad Dahlan Al Fathir As, Rahmat Saudi Aldy A Kulakat Alfansani, Abdul Rauf Alfin Mahadi Alimuddin Yasin Alin, Octhavia Almi Yulistia Alwanda Alqowiy, Mohd Qorib Alsyaibani, Omar Muhammad Altoumi Alva Hendi Muhammad Alva Hendi Muhammad Alva Hendi Muhammad Alvhinia Meinda Amitaba Alvian Trias Kurniawan Alvian Trias Kurniawan Alvina Felicia Watratan Amir Fatah Sofyan Amir, Fail Amrullah, Ahmad Afief Amrullah, Ahmad Afief Amrullah, Yusuf Amri Andang Wijanarko Andhika Wisnu Widyatama Andhika Wisnu Widyatama Andi Sunyoto Andrie Prajanueri Kristianto Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto, Anggit Dwi Anggit Hartanto Anggriandi, Dendi Anip Moniva Anisa Rahmanti Anisya Nursyah Gusman Anjar Setiawan Annisa Rahayu P Anwar Sadad Ardi, Abdullah Arfian Hendro Priyono Arham Rahim Ari Rudiyan Arief Setyanto Arief, M.Rudyanto Arif Nur Rohman Arif Rahman Arif Santoso Arif Sutikno Arif, Achmad Yusron Aris Setiyadi aristin chusnul khotimah Arli Aditya Parikesit Armadiyah Amborowaty Armadyah Amborowati Armadyah Amborowati Armadyah Amborowati Armadyah Amborowati Armadyah Amborowati Armadyah Amborowati Arvi Pramudyantoro Arya Luthfi Mahadika Asrawi, Hannan Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasiri Asrul Abdullah Astica, Yustikamasy Atin Hasanah Aziza Devita Indraswari Bambang Sumantri, R Bagus Bangun Watono Banu Dwi Putranto Basri, Nur Faizal Bayu Setiaji Béjar, Rodrigo Martínez Bety Wulan Sari BHANU SRI NUGRAHA Bima Widianto Bisono, Hadi Hikmadyo Biva Candra Lutfi Adiatma Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono, Bonifacius Vicky Brahmantha, Gede Putra Aditya Budi, Agung Prasetio Buyut Khoirul Umri Cahya Pangestu, Galang Candra Adipradana Candra Aditya Pinuyut Carolina, Vinnesa Patricia Catur Iswahyudi Catur Iswahyudi Catur Riyono Heri Wibowo Cecep Yedi Permana Chan Uswatun Khasanah Chavid Syukri Fatoni Christina Andriyani Constantin Menteng D. Diffran Nur Cahyo Dalillah Razan S Danar Putra Pamungkas, Danar Putra Dandi Sunardi Dany Fajar Kristanto Saputro Wibowo David Agustriawan Dede Sandi Dedy Ikhsan Dedy Sugiarto Deny Nugroho Triwibowo Dewi Yustika Lakoro Dhana Aulia Ayu Kurniawan Dhanar Intan Surya Saputra DHANI ARIATMANTO Dhani Ariatmanto Dhani Ratna Sari Dhani Ratna Sari, Dhani Ratna Dibyo Sudarsono Dimaz Arno Prasetio Dina Juni Marianti Dloifur Rohman Al Ghifari Donni Prabowo Donny Yulianto Dwi Ahmad Dzulhijjah Dwi Hartanto, Anggit Dwi Hartono, Anggit Dwi Rahayu Dwi Yuli Prasetyo Dzulhijjah, Dwi Ahmad Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Edi, Mohammad Eko Boedijanto, Eko Eko Darmanto Eko Pramono Eko Pramono Eko Pramono Eko Pramono Eko Purwanto Elim, Marthinus Ikun Elvis Pawan Elvis Pawan Emha T. Luthfi Emha T. Luthfi, Emha T. Emha Taufik Lutfi Emha Taufiq Lutfi Emha Taufiq Lutfi, Emha Taufiq Emha Taufiq Luthfi Emha Taufiq Luthfi Emha Taufiq Luthfi Emha Taufiq Luthfi Emha Taufiq Luthfi Emha Taufiq Luthfi Emilya Ully Artha Emilya Ully Artha Enie Yuliani Enni Lindrawati Ermawan, Bagas Restya Erwin Syahrudin Esha Alma'arif Fachruddin Edi Nugroho Saputro Fadhillah, Akmal Rafi Fahmi Ilmawan Fahry, Fahry Fail Amir Faisal Fadhila Fajar Ardanu Fajar Rohman Hariri Fajar Surya Putro Farid Fitriadi Fariz Zakaria Fathoni Dwiatmoko Fatoni, Chavid Syukri Fendi Sumanto Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Fersellia, Fersellia Fidya Farasalsabila Firdaus, M. Haikal Firdiyan Syah Firdiyan Syah Firstyani Imannisa Rahma Firstyani Imannisa Rahma Firza Septian Fitrah Eka Susilawati Fitriana, Frizka Fitriani Fitriani Fitrony, Fachri Ayudi Gabriel Bintang Timur Gardyas Bidari Adninda Ghifari, Dloifur Rohman Al Gusti F Rahman Gusti Fathur Rakhman Habib, Muhammad Hafidh Rezha Maulana Hafidz Sanjaya Hafidz Sanjaya, Hafidz Hafiz Ridha Pramudita Hafiz Ridha Pramudita, Hafiz Ridha Hajar, Muhammad Rizky Halim Bayuaji Sumarna Hamdani, Nahrowi Hamdikatama, Bimantyoso Hanafi Hanafi Hanafi Hanafi Hanafi Hani Setiani Hanif Al Fatta Hanif Al Fatta Hanif Al Fatta Hanif Al Fatta Hanif Al Fatta HANIF AL FATTA Hanif Al Fatta Hanif Al-Fatta Hardita, Veny Cahya Hartanto, Anggit Dwi Hartatik Hary Susanto Hasna Nirfya Rahmandhani Hastari Utama Hedy Leoni Helmawati, Nita Henderi . Hendi Muhammad, Alva HENDRA SETIAWAN Hendrawan, Ivan Rifky Hendrik Setiawan, Hendrik Herda Dicky Ramandita Herlandro Tribiakto Hidayat, Jati Arif Hikmianto, Riki Hirmayanti Hirmayanti, Hirmayanti Hudha, Yans Safarid I Dewa Bagas Suryajaya, I Dewa Bagas I Made Adi Purwantara I Wayan Rangga Pinastawa Idris Idris Idris Idris Ikrahmi Ikrahmi Imam Ainuddin P Ina Sholihah Widiati, Ina Sholihah Indarto Indarto Irawan, Ridwan Dwi Irawan, Rio Irma Yanti Irsyad Khalid Ilyas Irwan Siswanto Iskandar, Ahmad Fikri Isra Andika Bakhri Ivan Rifky Hendrawan Ivan Rifky Hendrawan Ivan Rifky Hendrawan Jangkung Tri Nugroho Januario Freitas Araujo Bernardo Jihadul Akbar Juni Marianti, Dina Kartikasari Kusuma Agustiningsih Kasim, Rafli Junaidi Khifni Beyk Ahmad Khoirunnita, Aulia Khusnawi Khusnawi Krisnawati Krisnawati Kriswantoro, Andi Kurniawan, Mei Kurniawan, Muhammad Bayu Kurniawan, Muhammad Bayu Kusnawi Kusnawi KUSRINI Kusrini Kusrini Kusrini Kusrini, Kusrini Kuswantoro, RB. Hendri Langgeng Hadi Prasetijo Lewu, Retzi Lindrawati, Enni Lisa Dinda Yunita M Imam Budi Laksamana M. Imam Budi Laksamana M. Imam Budi Laksamana M. Nuraminudin M. Rudyanto Arief M. Rudyanto Arief M. RUDYANTO ARIEF M. Rudyanto Arief M. Rudyanto Arief M. Suyanto M. Suyanto, M. M. Syafri Lamato M. Ulil Albab M. Zainal Arifin M. Ziaurrahman Ma'ruf Aziz Muzani Mahdi Ridho Mahmud Zunus Amirudin Marianti, Dina Juni Maringka, Raissa Martina Endah Pratiwi Maulana Brama Shandy Megantara, Nugraha Asthra Mei P Kurniawan Mei P Kurniawan Mei P.Kurniawan MEI PARWANTO KURNIAWAN Miftah Alfian Firdausy Mochammad Yusa Mochammad Yusa Mochammad Yusa Mochammad Yusa, Mochammad Moh Muhtarom Mohammad Edi Monalisa Fatmawati Sarifah Moniva, Anip Mudawil Qulub Muh Adha Muh Adha Muh Wal Ikram Muh Wal Ikram Muhajir, Fadhil Muhamad Arldi Megantara Muhamad Fatahillah Z Muhamad Paliya Sadana Muhamad Ridwan Muhammad Akbar Maulana Muhammad Altoumi Alsyaibani Muhammad Anwar Fauzi Muhammad Arfina Afwani Muhammad Fadli Muhammad Fadly Muhammad Fajrian Noor Muhammad Firdaus Abdi Muhammad Ilyas Prakanada Muhammad Lathifuddin Arif Muhammad Noor Arridho Muhammad Noor Arridho Muhammad Paliya Sadana Muhammad Resa Arif Yudianto Muhammad Ricky Perdana Putra Muhammad Rosikhu Muhammad Rusdi Rahman Muhammad Surahmanto Muhammad Suyanto, Muhammad Muhammad Syaiful Anam Muhammad Syukri Mustafa Muhammad Syukri Mustafa, Muhammad Syukri Mukhadimah Mukhlishah, Aiman Mursyid Ardiansyah Mutiara Dwi Anggraini NABILA OPER NAHROWI HAMDANI Nahrun Hartono Nahrun Hartono, Nahrun Nalda Kresimo Negoro Napianto, Riduwan Nasiri, Asro Ngaeni, Nurus Sarifatul Ngajiyanto, Ngajiyanto Ni Nyoman Utami Januhari, Ni Nyoman Nita Helmawati Nova Agustina Nova Noor Kamala Sari Nugroho Setio Wibowo Nugroho, Jangkung Tri Nugroho, Muhammad Agung Nuk Ghurroh Setyoningrum Nuk Ghurroh Setyoningrum Nur Hamid Sutanto Nur Hamid Sutanto Nur?aini, Nur?aini Nura Nugraha, Icha Nurcahyo, Azriel Christian Nurfaizah Nurfaizah Nurfajri Asfa Nurhasan Nugroho Nuri Cahyono Nurmasani, Atik Nurul Ilma Hasana Kunio Nurul Pratiwi, Annisa Okfan Rizal Ferdiansyah Oktariani, Deta Olivia Maria Inacio Tavares Omar Muhamammad Altoumi Alsyaibani Omar Muhammad Altoumi Alsyaibani Pangera, Abas Ali Patmawati Hasan Pebri Antara Prabowo Budi Utomo Pramudyantoro, Arvi Pranata, Caraka Aji Prasetio, Agung Budi Prasetyo, Ade Prasetyo, Yoga Adi Pratama, Rendy Bagus Pratama, Zudha Prayoga, Dimas Prayoga, Mahendra Bayu pujiharto, eka wahyu Pulungan, Linda Nurul Taqwa Purnawan Purnawan Purwidiantoro, Moch. Hari Purwoko, Agus Putra, Muhammad Ricky Perdana Putu Putrayasa Qolbun Salim As Shidiqi Qolbun Salim As Shidiqi Raditya Maulana Anuraga Rahardyan Bisma Setya Putra Rahmad Ardhani Rahmat Rahmat Rahmat Taufik R.L Bau Rahmatullah, Sidik Rakhma Shafrida Kurnia Ramadoni, Ramadoni Ramdhani, Arie Rahmat Rantung, Tessa Vatma Rasyida, Zulfa Raynaldi Fatih Amanullah Resty Wulanningrum Reyhan Dwi Putra Reyhan Dwi Putra Rhomita Sari Ria Andriani Ricki Firmansyah Rifki Fahmi Rifqi Anugrah Rifqi Mizan Aulawi Riska Kurniyanto Abdullah Risma, Vita Melati Rismayani Rismayani Riyanto Riyanto Rizki Firdaus Mulya Rizky Arya Kurniawan Rizky Handayani Rizky Handayani Rizqa Luviana Musyarofah Rizy, M. Alfa Rodney Maringka Ronaldus Morgan James Roshandri, Wien Fitrian Roshandri, Wien Fitrian S, Muhammad Sabri Sabar, Alfrida Safor Madianto Saiful Bahri Salibana, Chlyfen Richard Samsul Bahri Samuel Adhi Bagaskoro Sapta Hary Surya Wibowo Saputra, Artha Gilang Saputra, Artha Gilang Sarah Bunda Desi Bawan Sarah Bunda Desy Bawan Sari, Rita Novita Sari, Yunita Sartika Sarkawi - Sartje Mala Rangkoly Sasoko, Wasis Haryo Selamet Riadi Selvi Marcellia Selvy Megira Setiawan Budiman Setiawan, Bambang Abdi Setiawan, Hendi Setya Putra, Rahardyan Bisma Sidiq Wahyu Surya Wijaya Sigit Sugiyanto Sigit Suryono Siregar, Akhmad Arif Faisal Siswo Utomo, Mardi Slameto, Andika Agus Sodikin, Muh Ikbal Sofyan Pariyasto Sofyawati, Siti Sri Hartati Sri Hartati Sri Wahyuni Sri Yanto Qodarbaskoro Subastian Wibowo Sudarmawan Sudarmawan Sudarmawan, Sudarmawan Sudirman, San Sukoco Sukoco Sukoco Sukoco Sukrisno Amikom Suliswaningsih Suliswaningsih Suparyati Suparyati Supriadi, Oki Akbar Surya Ade Saputera Surya, Satria Dwi Suryono, Sigit Suryono, Wachid Daga Sutanto, Nur Hamid Sutrisno Sutrisno Suwanto Raharjo Suwanto Suwanto Suyadi - Suyatmi Suyatmi Swastikawati, Claudia Syah, Firdiyan Syah, Firdiyan Syahrudin, Erwin Syarham, Syarham Tamaulina Br Sembiring Tamrizal A. M. Tamsir, Kurniawati Tantoni, Ahmad Tantoni, Ahmad Teguh Ansyor Lorosae Tigus Juni Betri Tika Novita Sari Tikasni, Elisa Tinuk Agustin Tommy Dwi Putra TONNY HIDAYAT Toto Indriyatmoko Toto Rusianto Tri Amri Wijaya Tri Yusnanto Triana Triana Triwerdaya, Aji Tuhpatussania, Siti Tutut Maitanti Ulinuha, Hinova Rezha Veny Cahya Hardita Verra Budhi Lestari Vian Ardiyansyah Saputro Wahyu Ciptaningrum Wahyu Hidayat Wahyu Hidayat Wahyu Hidayat Wahyu Hidayat Wahyu Hidayat Wahyu Hidayat Wahyu Hidayat Wahyu Hidayat Wahyudi Hidayat, Aji Said wahyuni, wenti ayu Wicaksono, Sherif Aji Widijanuarto, Satyo Widjiyati, Nur Wijaksana, Candra Putra Wijaya, Tri Amri Yans Safarid Hudha Yanuargi, Bayu Yaqin, Aiinul Yefta Tolla Yetman Erwadi Yohanes Aryo Bismo Raharjo Yosef Murya Kusuma Ardhana Yulianto Mustaqim Yulita Fatma Andriani Yumarlin MZ Yusa, Mochammad Zakaria, Fariz Zitnaa Dhiaaul Kusnaa Washilatul Arba'ah Zitnaa Dhiaaul Kusnaa Washilatul Arba’ah Zitnaa Dhiaaul Kusnaa Washilatul Arba’ah Zulfa Rasyida Zulpan Hadi

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