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All Journal EkoBis ( Ekonomi & Bisnis ) Jurnal Keperawatan Soedirman (The Soedirman Journal of Nursing) BAHASA DAN SASTRA el-Jizya: Jurnal Ekonomi Islam Edu Geography Journal of Energy, Mechanical, Material and Manufacturing Engineering Jurnal Dinamika Ekonomi dan Bisnis Martabe : Jurnal Pengabdian Kepada Masyarakat NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Jurnal Telematika Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Ensiklopedia of Journal Jurnal Riset Informatika JURNAL ILMIAH HUKUM DIRGANTARA SeBaSa: Jurnal Pendidikan Bahasa dan Sastra Indonesia Edugama: Jurnal Kependidikan dan Sosial Keagamaan Jurnal Keperawatan Widya Gantari Indonesia Jurnal Sains dan Teknologi Jurnal Tekinkom (Teknik Informasi dan Komputer) International Journal of Advances in Data and Information Systems JURNAL USM LAW REVIEW Lexeme : Journal of Linguistics and Applied Linguistics Lingua Rima: Jurnal Pendidikan Bahasa dan Sastra Indonesia Journal of Computer Networks, Architecture and High Performance Computing Jurnal Komposit : Jurnal Ilmu-Ilmu Teknik Sipil Mabsya : Jurnal Manajemen Bisnis Syariah Journal of Economics and Business UBS Jurnal Sains Kebidanan Journal of English Language and Education Dynamic Management Journal Jurnal Abdimas Bina Bangsa Jurnal Pengabdian Masyarakat (ABDIRA) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat JURNAL ILMIAH GLOBAL EDUCATION IBLAM Law Review COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam el-Jizya: Jurnal Ekonomi Islam Mabsya: Jurnal Manajemen Bisnis Syariah Volksgeist: Jurnal Ilmu Hukum dan Konstitusi Edumatica: Jurnal Pendidikan Matematika Journal of Learning Improvement and Lesson Study Data Sciences Indonesia (DSI) Jurnal Comparative : Ekonomi Dan Bisnis Economics and Business Journal Journal of Artificial Intelligence and Digital Business International Review of Humanities Studies IJLHE: International Journal of Language, Humanities, and Education Triwikrama: Jurnal Ilmu Sosial Wealth: Journal of Islamic Banking and Finance Jurnal Info Kesehatan Jurnal Pengabdian Masyarakat (Z-COVIS)
Sugeng Riyadi
Penulis adalah dosen Fakultas Ekonomi dan Bisnis Islam IAIN Sultan Thaha Syaifuddin Jambi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Cara Cerdas dan Bijak Santri dalam Mengelola Uang Saku di Panti Asuhan Tahfidz Hidayah Riyadi, Sugeng; Haetami , Ahmad; Hudaya, Adeng; Pramestia , Selpia
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 3 No. 09 (2024): COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v3i09.1142

Abstract

Cara cerdas dan bijak santri dalam mengelola uang saku sebagai bentuk kepedulian dan pengabdian kepada Masyarakat dengan santri Tahfidz Hidayah, Kranggan. Pelaksanaan Pengabdian Kepada Masyarakat ini untuk memberikan penyuluhan mengenai pengelolaan uang saku secara sederhana dan bertujuan untuk menanamkan nilai-nilai mengelola uang secara efektif dan efisien dan tidak berperilaku konsumtif.. Tujuan penelitian ini adalah memberikan edukasi pemanfaatan uang saku secara efisien, peningkatan wawasan kepada santri tentang pentingnya dana darurat, pentingnya menabung dan pengelolaan uang saku dengan bijak, kemudian untuk meningkatkan kesadaran para santri, agar tidak berperilaku konsumtif, menghindari kebiasaan mereka membeli barang-barang yang tidak diperlukan dan menggunakan uang secara efektif dan efisien. Penelitian ini metode yang digunakan diharapkan dapat memberikan kemudahan kepada para santri Tahfidz Hidayah untuk dapat mempelajari dan mengimplementasikannya pada kehidupan sehari-hari. Populasi terbagi menjadi dua tingkat pendidikan, yaitu SMP dan SMA/K. Seluruh santri di tingkat pendidikan tersebut menjadi sampel dalam kegiatan ini.  Para santri antusias mempelajari materi pada kegiatan Pengabdian Kepada Masyarakat yang diselenggarakan di Panti Asuhan Tahfidz Hidayah selain itu, memberikan mereka pemahaman baru untuk mengelola keuangan (uang saku) tidak harus selalu dengan nominal uang yang besar, mereka dapat melakukannya sendiri. Para santri mendapatkan ilmu pengetahuan baru, sehingga dapat memaksimalkan potensi diri dan menanamkan kebiasaan untuk hidup hemat, bijaksana dalam pengelolaan keuangan.
COMPARISON OF RANDOM FOREST AND SUPPORT VECTOR MACHINE ALGORITHMS IN THE CLASSIFICATION OF DYSPEPSIA DISEASE Zahra, Fathima; Ichsan, Aulia; Riyadi, Sugeng
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.6874

Abstract

Functional dyspepsia remains a prevalent gastrointestinal disorder globally, with a higher burden in low- and middle-income countries such as Indonesia. Diagnostic challenges are exacerbated by limited healthcare infrastructure and a low ratio of gastroenterologists. Machine learning approaches offer a promising solution to enhance diagnostic consistency and accuracy in resource-limited settings. This study aims to compare the performance of the Random Forest (RF) and Support Vector Machine (SVM) algorithms in differentiating dyspepsia from gastroenteritis using Indonesian clinical data. A quantitative experimental method was applied using patient medical records, including gastrointestinal disease categories, vital signs, and symptom profiles. Data preprocessing was carried out by handling missing values through imputation and Min-Max scaling normalization. The dataset was divided into 80% training data and 20% testing data using stratified random sampling. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. Random Forest demonstrated superior performance on all evaluation metrics compared to SVM. RF achieved 86.5% accuracy, 86.0% precision, 85.0% recall, and 85.5% F1-score, while SVM achieved 83.2% accuracy, 83.0% precision, 81.0% recall, and 82.0% F1-score. The 3.3 percentage point improvement in accuracy and 4.0 percentage point improvement in recall are clinically significant. Random Forest proved more effective in dyspepsia classification, showing better handling of complex clinical data interactions and more reliable diagnostic performance. These findings support the implementation of an RF-based decision support system in Indonesian healthcare facilities to improve diagnostic consistency and patient outcomes.
Students' Anxiety in Oral Presentations: Factors and Strategies at UIN Raden Intan Lampung Riyadi, Sugeng; Suryawati, Sri Suci; Aziz, Rizal
IJLHE: International Journal of Language, Humanities, and Education Vol. 7 No. 2 (2024): IJLHE: International Journal of Language, Humanities, and Education
Publisher : Master Program in Indonesian Language Education and The Institute for Research and Community Service STKIP PGRI Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52217/ijlhe.v7i2.1620

Abstract

This study examines the level of speaking anxiety, identifies contributing factors, and explores strategies to address speaking anxiety during oral presentations in speaking classes among fourth-semester students at UIN Raden Intan Lampung. A qualitative descriptive design was employed, involving 55 English Department students. Data were collected using questionnaires and semi-structured interviews. The Foreign Language Classroom Anxiety Scale (FLCAS), developed by Horwitz et al. (1986), was modified and used to assess Foreign Language Anxiety (FLA). This 33-item, 5-point Likert scale measures students' language anxiety. Results indicate that speaking anxiety is prevalent among the students, particularly during oral presentations, with an average FLCAS score of 36.218. Interviews with six students, representing both low and high anxiety levels, revealed several factors contributing to speaking anxiety. These include negative thinking, lack of preparation, bad experiences, low ability, low confidence, fear of making mistakes, and physical conditions. To mitigate anxiety, students suggested strategies such as thorough preparation, managing negative thoughts, increasing self-confidence, using relaxation techniques, and improving language skills. The findings emphasize the importance of addressing speaking anxiety in EFL classrooms. Educators can create a supportive environment, incorporate activities to build confidence, and teach anxiety management strategies. Institutions should consider workshops on public speaking and anxiety reduction. Additionally, integrating frequent oral practice and personalized feedback into teaching methods can enhance students' speaking performance and reduce anxiety effectively.
Pendampingan Penyusunan Laporan Keuangan Pesantren Berbasis Excel dan Laporan Pajak Tahunan Baitul Qur'An Berbasis Excel Sinarti, Sinarti; Zelmiyanti, Riri; Utama, Doni Putra; Lestari, Nanik; Ikhlash, Muhammad; Riyadi, Sugeng; Zaenuddin, Muhammad
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 5 No. 1 (2023): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v5i1.4869

Abstract

Abstract"”This service activity aims to continue the implementation of community service activities for the 2021 period, the output of which is PSAK 45 Socialization, preparation of accounting policies for Islamic Boarding Schools, and a simple Excel application for preparing financial reports. The location of the Islamic boarding school which will be used as a place for carrying out activities is in Tanjung Buntung, Bengkong District, Batam City, Riau Archipelago. The method of implementing the activities that will be used is the mentoring method and the Excel application development method. The output of this service is the application of excel-based financial reports, videos of community service activities, and tax reports. It is hoped that this community service activity will increase the knowledge, expertise and independence of partners' financial departments in preparing financial reports based on standards set by the Public Accountants Association professional organization and make maximum use of accounting policies and excel templates that have been made in previous community service activities and the preparation of tax reports . Another output is that the results of this community service activity will be published in journals or community service proceedings and reported in online media so that similar organizations can obtain information and establish mentoring cooperation with the Batam State Polytechnic. Keywords"”Islamic Boarding School Accounting, ISAK 35, Financial Statements, Accounting Policies
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN RUMAH TANGGA MISKIN PADA DESA CIBANGKONG DENGAN METODE WASPAS Riyadi, Sugeng; Haryanti, Tuti; Kurniawati, Laela
Jurnal Riset Informatika Vol. 1 No. 4 (2019): Periode September 2019
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v1i4.27

Abstract

Pada era sekarang ini, berbagai kegiatan proses bisnis membutuhkan penerapan teknolog informasi. Pengambilan keputusan merupakan salah satu kegiatan proses bisnis yang dapat dibantu dengan adanya teknologi. Penentuan keluarga miskin adalah suatu masalah yang rumit karena banyak kriteria yang harus terpenuhi untuk menentukan sebuah keluarga miskin dan layak menerima bantuan penanganan kemiskinan. Oleh karena itu dibuatlah sistem pendukung keputusan dengan metode Weighted Aggregated Sum Product Assesment (WASPAS) dengan kriteria yang telah ditetapkan kemudian diimplementasikan dengan menggunakan Visual Basic .Net. Sampel yang digunakan adalah warga Desa Cibangkong sebanyak 89 Rumah Tangga yang terdaftar mengajukan bantuan pemerintah. Hasil penelitian diperoleh 12 rumah tangga sangat miskin, 28 rumah tangga miskin, 38 rumah tangga rentan miskin dan 11 rumah tangga tidak miskin. Dengan sistem pendukung keputusan metode WASPAS ini pengolahan data akan menjadi lebih efektif dan efisien karena proses penilaian dan pembuatan laporan menjadi cepat. Pegawai hanya memasukan data penduduk, data kriteria dan data penilaian penduduk, sedangkan proses perhitungan dan pembuatan laporan dilakukan oleh sistem.
Tinjauan Yuridis atas Upaya Pemulihan Hak Pemegang SHM Bertumpang Tindih : Kasus Putusan PN Cikarang Nomor : 285/Pdt.G/2023 Riyadi, Sugeng
JURNAL ILMIAH HUKUM DIRGANTARA Vol 15 No 2 (2025): JURNAL ILMIAH HUKUM DIRGANTARA
Publisher : UNIVERSITAS DIRGANTARA MARSEKAL SURYADARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jihd.v15i2.1531

Abstract

Permasalahan tumpang tindih Sertifikat Hak Milik (SHM) masih menjadi isu krusial dalam praktik pertanahan di Indonesia dan sering kali memicu sengketa yang kompleks serta merugikan pemilik hak yang sah. Dalam konteks ini, putusan Pengadilan Negeri (PN) Cikarang No. 285/Pdt.G/2023 menjadi sorotan penting dalam meninjau bagaimana upaya hukum ditempuh untuk memulihkan hak atas tanah yang dipersengketakan. Penelitian ini bertujuan untuk menganalisis aspek yuridis dari proses penyelesaian dan pertimbangan hukum yang digunakan dalam kasus tersebut. Dengan menggunakan metode pendekatan yuridis normatif dan studi kasus, penulis mengkaji substansi hukum dalam putusan pengadilan, termasuk penerapan asas legalitas, alat bukti kepemilikan, serta pertimbangan fakta fisik keberadaan tanah. Hasil kajian menunjukkan bahwa pengadilan secara cermat mempertimbangkan dokumen kepemilikan tanah dan keberadaan faktualnya di lapangan untuk memastikan pemilik sah. Dalam putusannya, pengadilan menguatkan hak pihak yang secara hukum memiliki dasar yang kuat dan memutuskan untuk membatalkan SHM yang bertumpang tindih demi menjamin kepastian hukum dan perlindungan hak atas tanah. Penelitian ini memberikan kontribusi terhadap literatur hukum agraria, khususnya dalam upaya memperbaiki sistem administrasi pertanahan dan meningkatkan efektivitas penegakan hukum dalam menyelesaikan konflik agraria di Indonesia
Enhancing Multi-Layer Perceptron Performance with K-Means Clustering Pardede, Doughlas; Ichsan, Aulia; Riyadi, Sugeng
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3600

Abstract

Machine learning plays a crucial role in identifying patterns within data, with classification being a prominent application. This study investigates the use of Multilayer Perceptron (MLP) classification models and explores preprocessing techniques, particularly K-Means clustering, to enhance model performance. Overfitting, a common challenge in MLP models, is addressed through the application of K-Means clustering to streamline data preparation and improve classification accuracy. The study begins with an overview of overfitting in MLP models, highlighting the significance of mitigating this issue. Various techniques for addressing overfitting are reviewed, including regularization, dropout, early stopping, data augmentation, and ensemble methods. Additionally, the complementary role of K-Means clustering in enhancing model performance is emphasized. Preprocessing using K-Means clustering aims to reduce data complexity and prevent overfitting in MLP models. Three datasets - Iris, Wine, and Breast Cancer Wisconsin - are employed to evaluate the performance of K-Means as a preprocessing technique. Results from cross-validation demonstrate significant improvements in accuracy, precision, recall, and F1 scores when employing K-Means clustering compared to models without preprocessing. The findings highlight the efficacy of K-Means clustering in enhancing the discriminative power of MLP classification models by organizing data into clusters based on similarity. These results have practical implications, underlining the importance of appropriate preprocessing techniques in improving classification performance. Future research could explore additional preprocessing methods and their impact on classification accuracy across diverse datasets, advancing the field of machine learning and its applications
Analysis of Logistic Regression Regularization in Wild Elephant Classification with VGG-16 Feature Extraction Ichsan, Aulia; Riyadi, Sugeng; Pardede, Doughlas
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3789

Abstract

The research article explores the intersection of image-based wildlife classification and logistic regression regularization, focusing on the classification of wild elephant species. It begins by highlighting the significance of ecological research in biodiversity monitoring and conservation and introduces Convolutional Neural Networks (CNNs) as potent tools for feature extraction from images. The VGG-16 model is particularly emphasized for its ability to capture hierarchical representations of visual features crucial for classification tasks. The integration of VGG-16 feature extraction with logistic regression regularization is proposed as a compelling approach, offering a balance between sophisticated feature representation and efficient classification algorithms. The literature review delves into image-based wildlife classification, emphasizing the role of CNNs, especially VGG-16, in extracting discriminative features. It discusses the fusion of VGG-16 features with logistic regression and the challenges in this field, such as dataset annotation and environmental variability. The method section outlines the dataset acquisition, feature extraction using the VGG-16 architecture, and model configuration using logistic regression with lasso and ridge regularization. The process of finding the optimal regularization parameter (lambda) and model evaluation through cross-validation is detailed. Results showcase the optimal lambda values for lasso and ridge regularization and compare the performance of logistic lasso and logistic ridge models. Misclassification analysis reveals factors influencing classification accuracy, including feature variability and contextual complexity. The discussion reflects on the implications of the findings, emphasizing the importance of lambda selection and addressing challenges in wildlife classification. It suggests avenues for further research, such as advanced modeling techniques and feature engineering approaches. In conclusion, the study contributes to advancing wildlife classification efforts by leveraging state-of-the-art techniques and sheds light on opportunities to enhance classification accuracy in wildlife conservation.
Engaging Tenth Grade Students: Enhancing Speaking Skills through Role Play Icebreakers Riyadi, Sugeng; Suryawati, Sri Suci; Seroja, Dienni Ratna
Lexeme : Journal of Linguistics and Applied Linguistics Vol. 6 No. 1 (2024): JANUARY 2024
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/ljlal.v6i1.41405

Abstract

Engaging students in learning speaking skills is crucial for vocational school graduates, particularly in pharmacy classes at SMKS Al-Huda. This study aims to investigate the effectiveness of using role play icebreakers to enhance student interest and participation in speaking activities. Employing a qualitative descriptive approach, the research involved 23 tenth-grade pharmacy students at SMKS Al-Huda. Data were collected through interviews, observations, and documentation, and analyzed using Miles and Huberman's method, which includes data reduction, data presentation, and conclusion drawing. Findings indicate that role play cards significantly increase students' interest and confidence in speaking, as evidenced by their enthusiastic participation and improved speaking abilities. This research highlights the potential of innovative teaching methods like role play icebreakers to make language learning more engaging and effective for students.
Pengembangan Buku Kerja Berbasis Penemuan Terbimbing Pada Perkuliahan Kalkulus Lanjut Riyadi, Sugeng; Jainuri, M
Edumatica : Jurnal Pendidikan Matematika Vol 8 No 1 (2018): Edumatica: Jurnal Pendidikan Matematika (April 2018)
Publisher : Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.072 KB) | DOI: 10.22437/edumatica.v8i01.4137

Abstract

Salah satu media pembelajaran yang dapat menolong peserta didik dalam belajar secara berkala dan terbimbing adalah buku kerja. Buku kerja yang disediakan oleh dosen haruslah dapat membimbing mahasiswa dalam menemukan konsep-konsep. Tujuan penelitian ini adalah menghasilkan buku kerja yang valid dan praktis. Jenis penelitian ini adalah penelitian dan pengembangan. Penelitian ini menggunakan model 4D, adapun keempat tahapnya adalah tahap mendefinisikan, tahap desain, tahap mengembangkan, dan tahap penyebarluasan. Buku kerja berbasis penemuan terbimbing ini divalidasi dari tiga aspek, yaitu: media, konten, dan bahasa indonesia. kevalidan buku kerja diukur dengan lembar validasi dan kepraktisan diukur dengan angket respon mahasiswa. langkah pengembangan buku kerja digambarkan secara kualitatif dan data yang diperoleh dari lembar validasi dan angket dianalisis secara kuantitatif. Analisis hasil validasi menunjukkan bahwa buku kerja berbasis penemuan terbimbing valid dari segi tampilan, konten, bahasa, dan keterbacaan. Analisis hasil angket menunjukkan bahwa buku kerja praktis. Kesimpulan dari penelitian ini, buku kerja berbasis penemuan terbimbing pada materi kalkulus lanjut valid dan praktis. Kata Kunci: buku kerja, kalkulus lanjut, penemuan terbimbing One of teaching materials that can help students to learn continuously and directed workbook. Workbook that are provided by the leacture should be able to train students in finding concepts. The purpose of the research is to produce valid and practice workbook. Kind of this research was research and development. It used 4D model, that consis to f4 stages: define stage, design stage, develop stage, and disseminate stage. Workbook base guided finding was validated by three experts: media, content, and Indonesian.Validity of workbook was proved from validation sheet and practicallity was proved from student responding questionaire. The procedure of workbook developing is described qualitatively and data obtained from validation sheet and questionaire that analyzed quantitativelly. The analysis result in validation stage shows that workbook based guided finding than face, content, language and readless validity. The result of questionnaire analys is show that was practically. Based on the result of this research, workbook based quided finding advanced calculus is subject had valid and practically. Keywords: workbook, advanced calculus, quided finding
Co-Authors Abdur Rahim, Abdur Ade Susanti Adeng Hudaya Aditya, Gebyar Cahya Afzal, Ridha Akmal, Najmuddin Ali Fathoni Andini, Prita Anggiana Rinjani, Audra Arief, Dharmawan Arif Rachman Putra Asep Budiman Asrin Awatif, Awatif Badaruddin Badaruddin Bahrudin Bahrudin Bakti, Ilham Teruna Banac, John Paul Bongsoikrama, Justin Bratasena, I Gede Nyoman Brillianto, Ananta Giga Carkid, Carkid Dewanti, Tri Mustika Dewi Leisnoor S, Dewi Leisnoor Didit Darmawan Dwi Widayanti, Esti Eni Yulianti Evan Kolef Manulang, Daniel Fadhila Muhammad Libasut Taqwa Fahmi, Faisal Fajar Triasih Firdaus, Ahmad Sofwan Fuad, Raja Nasrul Giftia, Shofa Hilwa Haetami , Ahmad Haetami, Ahmad Hamdan Hamdan Hanissa, Nevifah Bella Hapsari, Vinandri Hardy, Syaifoel Harun, Hariwiyawan Herry Prasetyo Hilyatin, Dewi Laela Ichsan, Aulia Idamatussilmi, Idamatussilmi Ikhlash, Muhammad Indah Sari, Yuli Indra Raya, Lanang Isnandi, Yedi Isu, Mutimah Nursabilah Jannah, Roikhatul Khayru, Rafadi Khan Komala, Oktia Tri Krisna Wicaksana, Muhammad Kurniawan, Ervin La Jumu, La Laela Kurniawati, Laela Lestari, Fitha Dieni Puja Lukman Hakim Mahmudah, Sofia Maqom Al Manlian Ronald A. Mansur Mansur Margolang, Khairul Fadhli Maskhur Dwi Saputra Mufidah, Salsabila Muhammad Fauzan Muhammad Jainuri Muhammad Zaenuddin Mujiarto, Mujiarto Mukhtar Latif Munawar, Kholil Al Nanik Lestari, Nanik Nasution, Iqbal Reza Nisrina, Risa Nur Syamsiah, Nur Nursida Arif Otistaviany, Heluny Pakpahan, Novritsar Hasitongan Pamekas, Hansyah Faisal Pardede, Doughlas Pramestia , Selpia Pudjileksani, Tri Mulatsih Puji Hastuti Putri Junisya, Bania Rasiban Ratnawati, Elfrida Reza Setiawan Rijal, Ahlan Khoir Syah Rika Rosnelly, Rika Riri Zelmiyanti, Riri Rizal Aziz, Rizal Rochani Istiawan Rommy Hardyansah Sabillah, Miftah Safi'i, Imam Salam, Shoffan Abdus Samsul Arifin Sandy Mulya, Ali Sari, Yuli Indah Serlinika, Cipi Seroja, Dienni Ratna Setaji, Yogi Shofi, Ahmad Sinaga, Novendra Adisaputra Sinarti, Sinarti Siti Khoirunnisa, Siti Siti Mulidah Sohardono, Herry Sri Suci Suryawati Subandiyo Subandiyo, Subandiyo Sugino Sugino Sukatemin, Sukatemin Sukrilah, Ulfah Agus Suwardi, Arif Darmawan Teruna Bakti, Ilham Triswantoro, Fery Tuti Haryanti, Tuti Udjari, Hendrianto ulfah agus sukrillah Utama, Doni Putra Walin Walin, Walin Wanayumini Wijaya, Kurnia Wulandari, Army Ardiani Wulandari, Eko Yennizar.N, Yennizar.N Yuniarso, Yudi Budi Zahra, Fathima Zahrani Alaya, Yovita