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All Journal International Journal of Electrical and Computer Engineering Jurnal Bestari Bioma : Berkala Ilmiah Biologi Grenek: Jurnal Seni Musik Jurnal Sosial Ekonomi Pertanian El-HARAKAH : Jurnal Budaya Islam Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Quagga Journal of Contemporary Indonesian Art Jurnal Transformatika English Education Journal The Journal of Educational Development JURNAL SIMETRIK SPEKTRA: Jurnal Kajian Pendidikan Sains Indonesian Journal of Artificial Intelligence and Data Mining ELSE (Elementary School Education Journal) : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Prosiding Seminar Nasional Teknoka BAREKENG: Jurnal Ilmu Matematika dan Terapan Dance and Theatre Review: Jurnal Tari, Teater, dan Wayang JTAM (Jurnal Teori dan Aplikasi Matematika) Tibuana : Journal of Applied Industrial Engineering Media Keperawatan Indonesia JURNAL PENDIDIKAN TAMBUSAI Jurnal Basicedu Jurnal STIE Semarang (Edisi Elektronik) Journal of Innovation in Business and Economics JCRS (Journal of Community Research and Service) South East Asia Nursing Research International Journal for Educational and Vocational Studies The Indonesian Journal of Social Studies JURNAL LENTERA BISNIS The Journal of Society and Media Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Jurnal Review Pendidikan Dasar : Jurnal Kajian Pendidikan dan Hasil Penelitian InPrime: Indonesian Journal Of Pure And Applied Mathematics Community Development Journal: Jurnal Pengabdian Masyarakat Ners Muda Indonesian Journal of Cultural and Community Development Jurnal Ilmiah Publika Jurnal Teknik Informatika (JUTIF) Incrementapedia: Jurnal Pendidikan Anak Usia Dini English Education and Literature Journal (E-jou) Jurnal Pengabdian Seni Dynamic Management Journal Jurnal Administrasi Bisnis (J-Adbis) JUSTIN (Jurnal Sistem dan Teknologi Informasi) J-KIP (Jurnal Keguruan dan Ilmu Pendidikan) Jurnal Manajemen Bisnis dan Kewirausahaan Jurnal Berita Kesehatan Kajian Moral dan Kewarganegaraan Sinergi Polmed : Jurnal Ilmiah Teknik Mesin Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Edukasia: Jurnal Pendidikan dan Pembelajaran Journal of Educational Sciences Berdikari : Jurnal Pengabdian kepada Masyarakat Jurnal Basicedu Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Jurnal Dedikasi untuk Negeri Jurnal Indonesia Sosial Sains Innovative: Journal Of Social Science Research Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Manajemen Sistem Informasi SALUTA: Jurnal Pengabdian Kepada Masyarakat West Science Social and Humanities Studies Sciencestatistics: Journal of Statistics, Probability, and Its Application IDEA: Jurnal Seni Pertunjukan SWARNA: Jurnal Pengabdian Kepada Masyarakat Jurnal Medika: Medika Business Innovation Management and Entrepreneurship Journal Jurnal Manajemen dan Administrasi Antartika Pengabdian Seni Ulil Albab Integra: Journal of Integrated Mathematics and Computer Science
Warsono Warsono
Department of Mathematics, Mathematics and Natural Science Faculty, Lampung University, Bandar Lampung, 35158, Indonesia
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Antecedent Factors of Financial Management Behavior: Evidence from a Study on E-Wallet User Students Aisyah, Rizka Nur; Widagdo, Bambang; Warsono, Warsono
Business Innovation Management and Entrepreneurship Journal Vol. 2 No. 02 (2023): OCTOBER
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/bimantara.v2i02.29751

Abstract

Financial technology or fintech use continues to proliferate, and more people are starting to manage their finances digitally. Today's Financial management behavior tends to be more security-oriented and uses technology to manage finances more efficiently. This study aims to determine the effect of financial knowledge, financial technology payments, and parental income on financial management behavior. Respondents in this study were students of the Faculty of Economics and Business, University of Muhammadiyah Malang, and the population was students of classes 2019, 2020, and 2021 with a sample calculation using the Slovin formula of 100 people. The analytical tool used in this study is multiple linear regression analysis with SPSS programs. The data collection method used in this study is an online questionnaire with a Google form. The results of this study simultaneously show that financial knowledge, financial technology payments, and parental income significantly positively affect student financial management behavior. This finding highlights the importance of education related to financial management and increasing financial knowledge in students.
Hubungan Pengetahuan dengan Pemanfaatan Pos Pembinaan Terpadu Penyakit Tidak Menular (Posbindu PTM) Agung, Leni Yulinda Kesuma; Berawi, Khairun Nisa; Warsono, Warsono
Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Vol 15 No 1 (2025): Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal: Januari 2025
Publisher : Sekolah Tinggi Ilmu Kesehatan Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

World Health Organization mendapatkan bahwa sebanyak 57 juta angka kematian dan 36 juta angka kesakitan di dunia disebabkan oleh penyakit tidak menular. Peningkatan akses pelayanan kesehatan serta pemanfaatan posbindu dapat menurunkan angka kejadian penyakit tidak menular. Tujuan penelitian ini adalah menganalisis pengetahuan dengan pemanfaatan posbindu. Penelitian ini menggunakan jenis penelitian analitik observasional. Penelitian ini dilaksanakan pada bulan Mei 2023 di Puskesmas Kabupaten Lampung Tengah. Variabel independen adalah pengetahuan dan variabel dependen pemanfaatan posbindu. Populasi dalam penelitian adalah masyarakat Kabupaten Lampung Tengah sebanyak 6.592 orang dengan jumlah sampel 298 orang. Sampel dalam penelitian ini diambil menggunakan teknik quota sampling. Instrumen penelitian menggunakan kuesioner yang telah diuji validitas dan reliabilitas dengan nilai alpha Cronbach 0,78-0,98. Pengolahan data melalui tahapan editing, coding, tabulating, entry dan cleaning. Analisis data menggunakan distribusi frekuensi  dan uji Chi-Square. Hasil penelitian mendapatkan ada hubungan pengetahuan dengan pemanfaatan posbindu.
Education of Pancasila Values to Strengthen Villages' Awareness of Harmony in Pacet Village, Mojokerto Regency, East Java Listyaningsih, Listyaningsih; Warsono, Warsono; Setyowati, Raden Roro Nanik; Sari, Maya Mustika Kartika; Adi, Agus Satmoko; Huda, Mi'rojul; Usmi, Rianda; Thohari, Habib Nihla; Chamidah, Nur
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 1 (2025): January 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i1.4492

Abstract

In facing national problems such as intolerance and ethnic and social conflicts, Indonesia needs to re-actualize the values of Pancasila, which have been proven as a unifying solution for the nation. Pancasila, as the foundation of the state and the nation's outlook on life, plays an important role in uniting the ethnic, religious, and cultural differences in Indonesia. However, in daily practice, the values of Pancasila tend to be eroded and are more present as formal symbols than behavioral guidelines, thus triggering various disputes between residents. Therefore, the purpose of this community service activity Pancasila is intended to (1) instill Pancasila values in the Pacet Village community; (2) mentor the Pacet Village youth organization as a facilitator of harmony by utilizing social media to campaign for harmony in society. This community service activity is a collaboration between the Pancasila and Citizenship Education Study Program, Surabaya State University with the Pacet Village Government, Pacet District, Mojokerto Regency, and the Mojokerto Regency Interfaith Harmony Forum. This community service activity is a Pancasila Discussion and Creative Content Creation Training for Karang Taruna Pacet Village. The method used is socialization, which provides material about Pancasila as a unifier of the nation, ending with digital content training. Through socialization activities, national insight training, discussions with religious leaders, and training for village officials, efforts to strengthen Pancasila encourage a harmonious life amidst diversity.
Application of the Artificial Neural Network Algorithm to Predict the Realization of the Duty Tax on the Name of Motor Vehicles in Lampung Province Kurniasari, Dian; Ramadhani, Putri Salsabila; Wamiliana, Wamiliana; Warsono, Warsono
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 2 (2024): September 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i2.29456

Abstract

Regional taxes, specifically the Motor Vehicle Name Return Tax (BBNKB), provide the primary source of revenue for regions from the several forms of taxes. The BBNKB tax is crucial in funding government and regional development due to its significant annual growth, encompassing four-wheeled and two-wheeled vehicles. Furthermore, the BBNKB tax catalyzes regional economic expansion and significantly contributes to the government's income. Hence, predicting and forecasting the BBNKB Tax in Lampung Province is necessary to monitor future tax rate fluctuations. That will enable the government to devise innovative tax payment systems and establish tax revenue targets. This study utilizes the Artificial Neural Network (ANN) methodology, using many approaches for distributing training and testing data to forecast. In addition, we utilize hyper-tuning on several factors to obtain the most favourable configurations. The ideal model achieved has a training data allocation of 80% and a testing data allocation of 20%. It was trained for 50 epochs and used a batch size of 16. The model has exceptional predictability, attaining an accuracy rating of 96.51%. Additionally, it showcases a low Root Mean Square Error (RMSE) of 0.246 and a minimal Mean Absolute Percentage Error (MAPE) score of 3.48%. Therefore, it is appropriate to predict the next two-year term. As a result, the forecast for the amount of tax collected from motor vehicle name returns in Lampung has fluctuated.
Penerapan terapi rendam air hangat dengan garam dapur terhadap skala nyeri gout arthritis pada lansia Jannah, Nurul; Warsono, Warsono
Ners Muda Vol 5, No 3 (2024)
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/nm.v5i3.13143

Abstract

Kadar purin yang abnormal dalam tubuh dapat menyebabkan terjadinya kristalisasi kondisi tersebut dalam jangka panjang dapat menimbulkan sensasi nyeri pada penderita gout. Ciri khas nyeri yg dirasakan penderita umumnya pada sendi kecil terutama pada jari kaki. Penatalaksanaan nyeri dapat dilakukan secara farmakologi dan nonfarmakologi, salah satunya dengan melakukan terapi rendam air hangat dengan garam dapur. Studi kasus ini bertujuan untuk mengetahui penurunan skala nyeri gout arthritis menggunakan terapi rendam air hangat dengan garam dapur pada lansia. Studi kasus dengan mengaplikasikan Evidence Based Nursing Practice pada 3 subyek studi kasus dengan kriteria inklusi lansia yang memiliki riwayat gout arthritis, lansia dengan keluhan nyeri, melakukan kontrol serta minum obat rutin, dan subyek studi kasus yang bersedia mengikuti terapi sesuai aturan dan waktu yang telah ditentukan. Rendam air hangat dengan garam dapur dilakukan sebanyak 3 kali selama satu minggu dengan durasi 15 menit, pengukuran menggunakan intensitas skala nyeri Numeric Rating Scale (NRS) sebelum dan sesudah penerapan. Hasil studi menunjukkan adanya penurunan nilai skala nyeri sebelum dan sesudah terapi rendam air hangat dengan garam dapur. Intervensi ini dapat menjadi salah satu manajemen terapi yang dapat di aplikasikan untuk mengurangi keluhan nyeri yang dapat dilakukan secara mandiri.
MERGER AND BUSINESS CONSOLIDATION AMONG INDONESIAN’S BUMN KARYA : A STRATEGY TO AVOID FINANCIAL DISTRESS AND STRENGTHENING CAPITAL FOR LONG-TERM SUSTAINABILITY Andriani, Ria; Tambunan, Diana; Warsono, Warsono; Herlan, Hasta
Dynamic Management Journal Vol 8, No 4 (2024): October
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/dmj.v8i4.12714

Abstract

This study aims to analyze the strategic mergers proposed by the BUMN Ministry, focusing on the mergers of PT Hutama Karya with PT Waskita Karya, PT Adhi Karya with PT Nindya Karya, and PT Wijaya Karya with PT Pembangunan Perumahan. Using a descriptive research approach, the study employs quantitative analysis to evaluate financial compatibility and operational synergies among the companies involved. The findings reveal that the merger of Adhi Karya and Nindya Karya emerges as the most advantageous option, effectively combining Adhi's liquidity challenges with Nindya's strong revenue generation capabilities. Additionally, merging PT Waskita Karya with PT Hutama Karya could provide vital resources to address Waskita's financial struggles, contingent on Hutama Karya’s capacity to manage these challenges effectively. The merger of PT Wijaya Karya with Pembangunan Perumahan shows promise in leveraging Pembangunan's stability to enhance Wijaya's financial performance. In conclusion, the proposed mergers present a strategic opportunity to enhance financial stability, operational efficiency, and market competitiveness. Merging PT Pembangunan Perumahan with PT Nindya Karya capitalizes on both companies' financial strengths, while the pairing of PT Waskita Karya and PT Adhi Karya facilitates resource pooling to improve operational performance. Lastly, the merger of PT Wijaya Karya with a smaller, agile company can help mitigate its liquidity issues while harnessing the strengths of a dynamic partner. Recommendations emphasize the importance of conducting thorough due diligence to assess financial compatibility, cultural alignment, and operational synergies before finalizing mergers. Establishing clear strategic goals and integration plans is essential for ensuring successful transitions. Ongoing monitoring and evaluation post-merger will be crucial for adapting strategies and driving sustained growth and profitability in the newly formed entities.with stakeholders will be key to rebuilding trust and securing the company’s future.
Enhancing Tuberculosis Diagnosis: Effective Naive Bayes Classification using SMOTE and Tomek Links for Imbalanced Data Faulina, Naflah; Nisa, Khoirin; Warsono, Warsono
InPrime: Indonesian Journal of Pure and Applied Mathematics Vol 6, No 2 (2024)
Publisher : Department of Mathematics, Faculty of Sciences and Technology, UIN Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/inprime.v6i2.41463

Abstract

Naive Bayes classification, grounded in Bayes' theorem, is a well-established probabilistic and statistical method. However, it often faces challenges when dealing with datasets that have skewed class distributions. A common issue with unbalanced data is that the classifier tends to predict the majority class more accurately, leading to high accuracy for the majority class but low accuracy for the minority class. Resampling techniques such as oversampling, undersampling, or a combination of both can be employed to address this. This research introduces a novel approach to balancing training data using a hybrid method that combines SMOTE (Synthetic Minority Oversampling Technique) and Tomek Links by applying this method to tuberculosis (TB) diagnosis data from Mayjend HM Ryacudu Kotabumi Hospital. We evaluate the Naive Bayes classifier's performance on the original and newly balanced data.  We used 826 patient data for training and 207 for testing out of 1,033. Of the 826 records in the training dataset, 306 patients had a TB diagnosis, whereas 520 patients did not. To achieve a better balance between the majority and minority classes, we oversampled 214 data in the minority class to match the number in the majority class. If necessary, we also reduce 214 data from the majority class. The results demonstrate that this hybrid approach significantly enhances the performance of the Naive Bayes model in terms of data balancing and overall accuracy. Specifically, the hybrid method achieves an average specificity of 96%, sensitivity of 88%, false positive fraction (FPF) of 4%, and false negative fraction (FNF) of 12%. These findings highlight the effectiveness of combining SMOTE and Tomek Links, providing a robust solution for improving classification performance in unbalanced datasets.Keywords: Naive Bayes classification; SMOTE; Tomek Links; SMOTE+Tomek Links; Tuberculosis. AbstrakKlasifikasi Naive Bayes, yang didasarkan pada Teorema Bayes, adalah metode probabilistik dan statistik yang sudah mapan. Namun, metode ini sering menghadapi tantangan ketika berhadapan dengan kumpulan data yang memiliki distribusi kelas yang miring (tidak seimbang). Masalah umum pada data yang tidak seimbang adalah bahwa pengklasifikasi cenderung memprediksi kelas mayoritas dengan lebih akurat, yang mengarah pada akurasi tinggi untuk kelas mayoritas namun menghasilkan akurasi rendah untuk kelas minoritas. Untuk mengatasi masalah ini, teknik resampling seperti oversampling, undersampling, atau kombinasi keduanya dapat digunakan. Penelitian ini memperkenalkan pendekatan baru untuk menyeimbangkan data pelatihan menggunakan metode hibrida yang menggabungkan SMOTE (Synthetic Minority Oversampling Technique) dan Tomek Links. Dengan menerapkan metode ini pada data diagnosis tuberculosis (TB) dari Rumah Sakit Mayjend HM Ryacudu Kotabumi. Kami mengevaluasi kinerja pengklasifikasi Naive Bayes pada data yang tidak seimbang asli dan data yang sudah seimbang. Kami menggunakan 826 data pasien untuk pelatihan dan 207 untuk pengujian dari total 1.033. Dari 826 catatan dalam dataset pelatihan, 306 pasien didiagnosis dengan TB, sedangkan 520 pasien tidak. Untuk mencapai keseimbangan yang lebih baik antara kelas mayoritas dan minoritas, kami melakukan oversampling sebanyak 214 data pada kelas minoritas agar jumlahnya seimbang dengan kelas mayoritas. Selain itu, kami juga mengurangi 214 data dari kelas mayoritas. Hasilnya menunjukkan bahwa pendekatan hibrida ini secara signifikan meningkatkan kinerja model Naive Bayes dalam hal keseimbangan data dan akurasi keseluruhan. Secara spesifik, metode hibrida ini mencapai spesifisitas rata-rata sebesar 96%, sensitivitas sebesar 88%, fraksi positif palsu (FPF) sebesar 4%, dan fraksi negatif palsu (FNF) sebesar 12%. Temuan ini menyoroti efektivitas penggabungan SMOTE dan Tomek Links, serta memberikan solusi yang tangguh untuk meningkatkan kinerja klasifikasi di tengah kumpulan data yang tidak seimbang.Kata Kunci: Klasifikasi Naive Bayes; SMOTE; Tomek Links; SMOTE+Tomek Links; Tuberkulosis. 2020MSC: 68T05, 62R07.
Development of a Social Sciences E-Module Based on Local Wisdom with a Problem Solving Approach to Improve Students' Critical Thinking Ability Suparmin, Suparmin; Warsono, Warsono; Segara, Nuansa Bayu; Subur, Hikmayani; Imran, Ahmad Fadhil
Journal of Educational Sciences Vol 8. No. 1. January 2024
Publisher : FKIP-Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.8.1.p.22-35

Abstract

This research aims to meet the needs of teachers and participants by presenting teaching materials in the form of social sciences e-modules based on local wisdom with a feasible and effective problem solving approach to improve students' critical thinking skills. This type of research is R&D which has been developed by Borg & Gall. Initial product development validated by media experts and material experts, initial field tests assessed from the responses of 2 teachers and 16 students, initial product revisions, main product tests assessed from the responses of 2 teachers and 27 students people, revision of the main product, operational field testing by giving pretests and posttests to 32 students, revision of the final product, and dissemination in junior high schools throughout Central Mamuju Regency. This research produced a social sciences e-module product based on local wisdom with a problem solving approach which was declared feasible and effective enough to improve students' critical thinking skills. The results of the independent t-test analysis show a sig. value (2-tailed) < 0.05, so the conclusion is that there is a difference in students' critical thinking abilities between the experimental class that uses the product and the control class that does not use the product.
Pagelaran Wayang Kulit Sebagai Sarana Aktualisasi Pendidikan Nilai Kearifan Lokal Dalam Tradisi Rasulan Di Karanganyar Warsono, Warsono
Dance and Theatre Review Vol 7, No 2: November 2024
Publisher : Institut Seni Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24821/dtr.v7i2.14145

Abstract

Wayang kulit is one of Indonesia's cultural heritages that is becoming increasingly unfamiliar to many of today’s younger generation. The emergence of new entertainment forms via various social media platforms has made wayang seem distant and less accessible to the public. The influence of modern globalization, coupled with the sophistication of internet features, provides people with a variety of entertainment options, further distancing traditional arts like wayang kulit. Nevertheless, some communities continue to strive to preserve this cultural art form to ensure its survival. One example of such local wisdom is the annual tradition of Rosulan (village cleansing), which includes wayang kulit performances held in Dusun Sukosari, Kecamatan Jumantono, Kabupaten Karanganyar.             This study uses a qualitative descriptive method with a phenomenological approach. Data were collected through intensive interviews with key informants, including residents of Dusun Sukosari, community leaders, and religious figures. Observations were conducted by examining the environment where the wayang performances were held. Documents such as committee arrangements and reports were also utilized, along with photographs of the wayang kulit performances for visual support. Informants were selected using purposive sampling techniques. Data analysis employed an interactive model consisting of data reduction, data presentation, and conclusion drawing or validation.This research aims to identify the factors influencing the continuity of the Rosulan tradition with its wayang kulit performances in Dusun Sukosari, explore the values of local wisdom embedded in this tradition that allow it to endure across generations, and discover strategies for preserving wayang kulit among younger generations. The study was conducted in Dusun Sukosari, Desa Sukosari, Kecamatan Jumantono, Kabupaten Karanganyar, with the research subjects being local residents and the audience of wayang kulit performances during Rosulan.
Enhancing Weather Forecasting in Bandar Lampung: A Hybrid SARIMA-LSTM Approach Kurniasari, Dian; Salsabila, Anindya Dafa; Usman, Mustofa; Warsono, Warsono
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 1 (2025): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i1.27188

Abstract

Indonesia’s tropical climate, marked by rainy and dry seasons, is increasingly affected by extreme weather events driven by climate change. Rising temperatures, shifting rainfall patterns, and sea-level rise have intensified health risks such as malaria, dengue hemorrhagic fever (DHF), and gastrointestinal infections. Accurate weather forecasting is essential for mitigating these challenges and informing risk management strategies. This study develops and evaluates a hybrid SARIMA-LSTM model for weather forecasting in Bandar Lampung, integrating time series analysis with deep learning to enhance predictive accuracy. SARIMA captures seasonal variations, while LSTM models nonlinear relationships, offering a robust approach to forecasting complex weather patterns. The SARIMA (6,1,0)(3,1,0)26 model was selected for its effective seasonal representation and combined with LSTM to leverage its capability in modelling nonlinear dependencies. Hyperparameter optimization using grid search further improved model performance. Two data partitioning approaches were tested: 70%-30% and 80%-20% splits for training and testing, respectively. The SARIMA-LSTM hybrid model demonstrated superior performance with the 80%-20% split, achieving MSE, RMSE, and MAPE values of 0.1174, 0.3426, and 0.0104%, respectively. The model accurately forecasted weather conditions over 21 weeks, aligning closely with observed trends and effectively capturing seasonal patterns. These findings underscore the model’s potential to support public health strategies, including disease outbreak mitigation for malaria and DHF, and enhance disaster preparedness in flood-prone areas.
Co-Authors Abdul Ayiz Abdul Hamid Abdurrachman Faridi Abdurrahman Faridi Afifi, Ruhana Agnes Widyaningrum Agung, Leni Yulinda Kesuma Agus Satmoko Adi Agus Solehudin Ahmad Fadhil Imran Aisyah, Rizka Nur Akbar Tukan, Ramdya Akmal Junaidi Ali Haidar Amanto Amanto AMINUDDIN KASDI Amperawaty, Anis Amperawaty, Anis Anggraini, Garin Ocshela Antonio, Yeftanus Aprilani, Susi Arani, Arani Ardy Prabasiwi, Evita Ardy Prabasiwi, Evita arief yanto, arief Arif Rahman Arina Yuliarti, Arina Arista, Roynaldi Asih Widi Lestari Audina, Sely Ayu Tresna Yunita Aziz, Muhammad Faris Abdil Bahana Aditya Adnan BAMBANG SURATMAN Bambang Widagdo BASUKI RAHMAD Bintoro, Carolus BUDI SETIAWAN Cahyani, Amalia Dwi Nur Cahyo Sasmito Dani Chandra Utama Daniarti, Dian Dery Purnama Saefudin Dewi, Nuna Mustikawati Dian Kurniasari Diana Tambunan Djoko Sutopo Dwi Anggani Linggar Bharati Dwi Rukmini Ektadinata, Sendy Natasya Via Aura Ellyana, Ellyana Erdi Suroso Euis Erlin F, Rizqi Amalia F, Rizqi Amalia Fahmi, Faradisa Yuanita Fajri Ariandi Faradila, Sita Nur Faticha, Dewi Faticha, Dewi Faulina, Naflah Fauziah, Meli Fauziah, Meli Fauziyatur Rohmah Febrianto, Nazala Wahyu Febrianto, Nazala Wahyu Fika Fitriasari Firman, Salabila Nararya Firtiati, Sri Wuli Firtiati, Sri Wuli Fitri Ani, Fitri Fitria, Azila Nurul Fitria, Trisonia Fitriyani, Sefty Hanida FX Sri Sadewo Hadi, Dholiful Hadi, Normi Abdul Haidar, Muhammad Ali Hariyanto, Shofan Harmanto Harmanto Hasriana Hasriana, Hasriana Hdiana, Yazid Zinedine Hendrasari, Widya Kurnia Herindri Samodera Utami, Bernadhita Herlan, Hasta Herry Mulyono Hidayah, Rekti Nurul Huda, Mi'rojul Ifadloh, Nur Iis Siti Aisyah Ilmiyati, Nur Inti Englishtina Irfan Maulana, Irfan Irfan, Miftahul Irwan, Raden Ismet Basuki Isna Fitria Agustina Issy Yuliasri Jani Januar Januarius Mujiyanto, Januarius Junaidi Junaidi Kaldicson, Alno Khairun Nisa Khalim, Abdul Khalim, Abdul Khayati, Iftitah Khayati, Iftitah Khoirin Nisa Komarudin, M. Koriyah, Nisa Ul Kristiani, Isti Kristiani, Isti Lailatul Badriyah Listyaningsih Listyaningsih Lumbanraja, Favorisen R Maharani, Suri Mala Nurilmala Marbangun, Melasari Febrianti Mardlatillah, Mardlatillah Mariyatul Qiptiyah, Mariyatul Maulana, Mas Dafri MAYA MUSTIKA KARTIKA SARI, MAYA Miftakhul Ulum, Miftakhul Muchammad Budiono, Muchammad MUHAMMAD JACKY Muhammad Turhan Yani Mukaromah, Hana Mufidatul Mukhlisin, Zaenal Mulyoho, Adi Sadewo Murni Wahyanti, C. Murni Wahyanti, C. Mursid Saleh Mustofa Usman Nabillah, Adinar Zahra Najihah, Najihah Nasution Nasution Nisa, Rizki Khoirun Nosa, Ferzy Tryanda Notiragayu, Notiragayu Novita, Ely Nuansa Bayu Segara Nugroho Hari Purnomo Nur Chamidah Nur Hidayat, Wahyu Nurfitria, Aziza Ramadhani Nurul Jannah Nurwijayanti Oksiana Jatiningsih Pahlevi, Sekar Ranis Anggita Pahlevi, Sekar Ranis Anggita Pangaribuan, Zekson Pangesti, Glorifya Julita Prihantoro, Nur Achmad Priyambodo Priyambodo Puspitasari, Vivanti Putri, Dian Puspita Eka Putri, Zahra Nabilah Rachmawati, Anita Rachmawati, Devi Rafdiono, M Naufal Ammar Rafika, Rahmi Rafika, Rahmi Raihandhany, Reza Ramadhani, Putri Salsabila Ramatillah, Diana Laila Rawati, Widya Yeni Rendy A.P, Dwi Bagus Retno Apriliyanti Ria Andriani Rizki Agung Wibowo Rizqiyah , Halimatur Rofitri, Desta Rosidi, Muhammad Rain Rr Nanik Setyowati Rudi Hartono Rusitati, Elly Lestari Saefudin, Dery Purnama Safitri, Irma Andriani Aji Salamah, Masning Salsabila, Anindya Dafa Santie, Firda Nur Rahma Sari, Beti Indah Sarmini Sarmini Savitri, Andini Syita Selan, I'anatul Muhtaromah Setiawan, Noferdis Setyawan, FX Arinto Setyawati, Dewi Setyawati, Raden Roro Nanik Setyowati, Raden Roro Nanik Siti Maizul Habibah Siti Nuraeni, Siti Soetriono Soetriono Solihah, Yuni Awalaturrohmah Solihah, Yuni Awalaturrohmah Sri Ratna Sulistiyanti Sri Wuli Fitriati Subur, Hikmayani Suciati, Indah Sugeng Wardoyo Sujito Sujito Sukma Perdana Prasetya Sunardi Sunardi Sunarto Sunarto Suparmin Suparmin Suparno Suparno Suramta Suramta Susan, Susandari Syabrinildi, Syabrinildi Syarifah Syarifah, Syarifah Tarina Dashela Taruna, Helmi Ivan Thohari, Habib Nihla Trias Septianingsih, Trias Triyono Bramantyo Usep Suparman Usmi, Rianda Utami, Redita Dwi Veithzal Rivai Zainal Venelia, Hilda Vika, Laila Vika Safitri Viona, Rachel Ocha W, Widhiyanto Wahyono Wahyono Wahyuni, Dita Eka Wahyuningtyas, Ellvina Pramitadewi Walidaini, Lulu Wamiliana Wamiliana Wardhani Utami Dewi Waspodo Tjipto Subroto Winajat, Uden Winanda, Lutgardis Dianika wisnu wisnu, wisnu Wulandari, Oktavia Nur Yuli Ardianto, Yuli Yuliani, Widya Yuliani, Widya Yulianto, Iwan Yuliarti, Agnes Pradini Yuni Nur Hidayati Yuni, Dede Zahroh, Rahil Virginia Az