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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) KURVA S JURNAL MAHASISWA Jurnal Teknologi Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) LINK Jurnal Imejing Diagnostik Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Majalah Kesehatan FKUB AL-ATHFAAL : JURNAL ILMIAH PENDIDIKAN ANAK USIA DINI Varia Justicia Jurnal Rekam Medis dan Informasi Kesehatan Jurnal AKSI (Akuntansi dan Sistem Informasi) Jurnal Inotera JAB (Jurnal Akuntansi & Bisnis) Journal of Maternal and Child Health Owner : Riset dan Jurnal Akuntansi VOX EDUKASI: Jurnal Ilmiah Ilmu Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal STIE Semarang (Edisi Elektronik) Jemasi Jurnal Ekonomi Manajemen dan Akuntansi DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) TEKNIKA Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Edum Journal Health Information : Jurnal Penelitian Jurnal Ilmiah Edunomika (JIE) JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Telenursing (JOTING) Jurnal HIDROPILAR Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Bisnis dan Kewirausahaan (Journal of Business and Entrepreneurship) Jurnal Darma Agung Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Journal of Dehasen Educational Review Indonesian Journal of Global Health research Jurnal Ilmiah Akuntansi Peradaban Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Animal Science Jurnal Teknik Informatika (JUTIF) Jurnal Kesehatan Tambusai Jurnal Visionary : Penelitian Dan Pengembangan Di Bidang Administrasi Pendidikan AEEJ : Journal of Automotive Engineering and Vocational Education MAHESA : Malahayati Health Student Journal Dinamis TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT Jurnal Locus Penelitian dan Pengabdian Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Journal of Engineering Environtmental Energy and Science SENTRI: Jurnal Riset Ilmiah Journal Health Information Management Indonesian International Journal of Learning Reformation in Elementary Education Jurnal Masyarakat Madani Indonesia Sanskara Akuntansi dan Keuangan Jurnal Ilmiah Pendidikan dan Keislaman The Es Accounting and Finance Dikdimas : Jurnal Pengabdian Kepada Masyarakat Center of Economic Students Journal (CSEJ) Bengawan :Jurnal Pengabdian Masyarakat Proceeding of International Conference on Science, Education, and Technology West Science Accounting and Finance Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi PPSDP International Journal of Education Jurnal Media Akademik (JMA) Advances in Managerial Auditing Research Advances: Jurnal Ekonomi & Bisnis Jurnal Kewirausahaan dan Bisnis Celebes Journal of Community Services Journal of Social Work and Science Education JISE TECHNOVATE Jurnal Gotong Royong Media Penelitian dan Pengembangan Kesehatan JP2N: Jurnal Pengembangan Dan Pengabdian Nusantara JPT : Jurnal Pendidikan Tematik Journal of Multidisciplinary Sustainability Asean
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Peran Literasi Pajak dalam Membentuk Moral Pajak Mahasiswa Rifani, Riza Amalia; Nisrina, Ulfah Laila; susanto, Edy; Ikhtiari, Kirana
Center of Economic Students Journal Vol. 9 No. 1 (2026): Januari - Maret
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56750/rd044d04

Abstract

Tax morale di kalangan mahasiswa berperan penting dalam kepatuhan perpajakan, sebab mereka merupakan calon wajib pajak. Tujuan utama penelitian ini adalah untuk mengetahui bagaimana literasi perpajakan berpengaruh terhadap tax morale terutama pada kalangan mahasiswa di Fakultas Bisnis Institut Ilmu Sosial dan Bisnis Andi Sapada. Dengan pemilihan responden menggunakan purposive sampling, sebanyak 36 mahasiswa dipilih sebagai sampel. Teknik dalam penelitian ini menggunakan pendekatan regresi linier sederhana. Hasil penelitian menyatakan bahwa literasi perpajakan berpengaruh terhadap tax morale mahasiswa dengan nilai koefisiensi korelasi sebesar 0,683 yang berarti adanya pengaruh yang kuat dari pengaruh literasi dengan nilai signifikasi 0,01 (< 0,05)
Pengaruh Likuiditas, Profitabilitas, dan Rasio Pasar Terhadap Harga Saham yang Terdaftar di Bursa Efek Indonesia : Studi Kasus Perusahaan Indeks Saham LQ45 Nur Aifa; Alam, Syamsu; Susanto, Edy
Center of Economic Students Journal Vol. 8 No. 3 (2025): July-September (2025)
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56750/11tqa878

Abstract

Penelitian ini bertujuan untuk menguji pengaruh likuiditas, profitabilitas, dan rasio pasar terhadap harga saham yang terdaftar di Bursa Efek Indonesia (Studi Kasus Perusahaan Indeks Saham LQ45) dengan waktu pelaksanaan penelitian berlangsung selama 2 bulan yaitu pada bulan November sampai dengan bulan Desember 2024. Populasi dalam penelitian ini meliputi seluruh perusahaan yang terdaftar di LQ45 di Bursa Efek Indonesia (BEI) sedangkan dalam pemilihan sampel peneliti menetapkan beberapa kriteria sehingga jumlah sampel dalam penelitian ini berjumlah 11 perusahaan dengan masa waktu periode laporan keuangan perusahaan selama 3 tahun, berdasarkan hal ini maka jumlah sampel dalam penelitian ini berjumlah 33 sampel. Penelitian ini menggunakan data sekunder dengan cara melakukan pengambilan data secara langsung di website Bursa Efek Indonesia. Metode analisis data yang digunakan yaitu analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa: 1). Current ratio berpengaruh positif dan signifikan terhadap harga saham. 2). Return on equity berpengaruh positif dan signifikan terhadap harga saham dan 3). Earning per share berpengaruh positif dan signifikan terhadap harga saham.
Model Deteksi Parkinson Disease Berbasis Deep Learning Menggunakan Arsitektur VGG Lestari, Deva; Wibowo, Gatot Murti; Setiawan, Agung Nugroho; Suwondo, Ari; Susanto, Edy
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14284

Abstract

Background: Parkinsons Disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra, resulting in motor and non-motor impairments. Early diagnosis remains challenging due to subtle initial symptoms and the relatively low accuracy of clinical assessment during early disease stages. Magnetic Resonance Imaging (MRI) provides high-resolution anatomical visualization and has the potential to detect early morphological changes. Advances in deep learning offer opportunities for automated PD detection through MRI analysis. This study aims to develop a PD detection model using the VGG architecture and evaluate its performance on MRI images. Methods: This study employed a Research and Development (R&D) approach to construct a deep learning–based PD detection model. The dataset consisted of 2,000 brain MRI images (1,000 PD and 1,000 healthy controls) obtained from the open-source Kaggle platform. Preprocessing included image normalization and resizing to 256×256 pixels. The dataset was divided into 80% training data and 20% testing data. The model was developed using the VGG architecture and trained for 15 epochs with a batch size of 16. Model performance was evaluated using accuracy, precision, sensitivity, and specificity metrics. Results: The VGG model demonstrated excellent classification performance on the test dataset. Evaluation results showed an accuracy of 0.99, precision of 0.99, sensitivity of 0.98, and specificity of 0.99. The confusion matrix indicated that the model correctly classified 198 healthy control images and 196 PD images, with minimal misclassification. Visualization of MRI comparisons showed that the model was able to detect morphological changes in the substantia nigra, including loss of the normal curvature of the crus cerebri, as an early indicator of PD. Conclusions: The VGG-based PD detection model achieved very high performance in distinguishing PD from healthy controls using MRI images. These findings highlight the potential of deep learning as a tool for early PD detection. However, the use of Kaggle data as the primary dataset represents a limitation due to unverified acquisition standards and clinical quality. Therefore, further validation using multicenter clinical datasets is required to ensure the model’s generalizability to broader patient populations.
Effectiveness of Young Papaya Fruit Extract (Carica Papaya L) on Prolactin Hormone and Infant Body Weight Eko Puji Kaptiyanti, Edining; Sumarni, Sri; Susanto, Edy
Journal of Maternal and Child Health Vol. 11 No. 1 (2026)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejmch.2026.11.01.06

Abstract

Background: Breast milk is the best nutrition for infants. Successful exclusive breastfeeding during the first six months of life optimizes growth, cognitive development, and strengthens the infant's immune system. Prolactin, which affects breast milk production, remains a barrier to exclusive breastfeeding. One approach is to utilize natural lactagogic ingredients such as unripe papaya (Carica papaya L.). The purpose of this study was to analyze and demonstrate the effectiveness of unripe papaya extract on increasing prolactin levels and infant weight in breastfeeding mothers. Subjects and Methods: This study used a quasi-experimental design with a two-group pretest-posttest design. The study location was the Danasari Community Health Center, Bojong District, Tegal Regency. Data collection was conducted from July to August 2025. The intervention group consisted of 1000 mg/day of unripe papaya extract, UHT milk, and boiled eggs for 7 days, and the control group received nursing care, UHT milk, and boiled eggs for 7 days. The dependent variables studied were prolactin hormone and infant weight, and the independent variables were unripe papaya extract, milk, and boiled eggs. Analysis techniques used were the Wilcoxon test and the Paired Sample T-Test. Results: The average prolactin hormone level in the intervention group after administration of unripe papaya extract was higher (Mean = 199.70; SD = 72.57) than before the intervention (Mean = 174.50; SD = 64.08) and was statistically significant (p = 0.002). The average infant weight in the intervention group after administration of unripe papaya extract was higher (Mean = 5631.50; SD = 987.73) than before the intervention (Mean = 5313.75; SD = 1025.04) and was statistically significant (p = 0.000). Conclusion: Administration of unripe papaya extract has been shown to be effective in increasing prolactin hormone levels in breastfeeding mothers and infant weight.
DEVELOPMENT AND EVALUATION OF A MEDICAL RECORD ED- UCATION SYSTEM USING THE WATERFALL MODEL WITH ISO 9126/25010 QUALITY MAPPING Widiyanto, Wahyu Wijaya; Sari, Yayak Kartika; Susanto, Edy
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.9167

Abstract

This study aims to develop and evaluate a Medical Record Education System designed to enhance students’ digital competence in managing electronic medical records (EMRs). Addressing the gap between the- oretical learning and practical application in health informatics educa- tion, the system was developed using the Waterfall model and evaluated through the ISO 9126 software quality framework. A Research and De- velopment (RD) approach was applied at Politeknik Indonusa Surakarta involving 30 final-year students of the Health Information Management program. Data collection included observation, ISO 9126-based ques- tionnaires, and in-depth interviews, analyzed using descriptive and the- matic techniques. The results showed significant improvement in student performance, with pretest–posttest scores increasing from 64.5 to 86.2 after a two-week system trial. The system comprises interactive modules such as patient data entry, diagnosis coding, and auto-report generation. Expert evaluation produced high scores for usability (4.6), functionality (4.4), reliability (4.2), and efficiency (4.3), confirming both educational value and technical feasibility. These findings highlight the role of struc- tured development and quality assessment models in instructional in- novation. The system not only improves learning outcomes but also provides a replicable model for embedding digital transformation into vocational healthcare education.
ANALISIS DETERMINASI KINERJA PEGAWAI DI BADAN KESATUAN BANGSA DAN POLITIK KABUPATEN OKU TIMUR Susanto, Edy; Sari, Yunita; Oktarina, Yetty
Jemasi: Jurnal Ekonomi Manajemen dan Akuntansi Vol 22 No 1 (2026): Jemasi: Jurnal Ekonomi Manajemen dan Akuntansi
Publisher : Fakultas Ekonomi Universitas IBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35449/jemasi.v22i1.1018

Abstract

Kinerja pegawai di Kesbangpol Kabupaten OKU Timur jadi fokus studi ini, yang bermaksud guna mengidentifikasi serta mengevaluasi dampak pelatihan, infrastruktur, serta mutu SDMnya. Mutu SDM yang rendah, fasilitas kerja yang tak memadai, serta kurangnya pelatihan berkelanjutan merupakan sebab utama kinerja kurang memuaskan dari pegawai yang diteliti pada studi ini. Analisis regresi linier berganda menjadi bagian dari model studi kuantitatif. Guna studi ini, 42 orang dipilih secara acak dari tenaga kerja. Dengan skor signifikansi 0.000 < 0.05, temuan studi menggambarkan kualitas (SDM) secara signifikan mempengaruhi kinerja pegawai secara positif serta bermakna. Infrastruktur juga terbukti punya efek yang signifikan serta positif, dengan tingkat signifikansi 0.019 < 0.05. Skor signifikansi 0.026 < 0.05 menggambarkan pelatihan juga secara signifikan mempengaruhi kinerja karyawan. Variabel dependen dipengaruhi ketiga variabel independen secara bersamaan, beserta taraf signifikansi 0.000 < 0.05 serta (R²) senilai 0.641. Hal menggambarkan mutu SDM, infrastruktur, serta pelatihan menjelaskan 64,1% variasi pada kinerja karyawan, sementara variabel lain di luar model mempengaruhi 35,9% sisanya. Temuan ini menggambarkan strategi pengembangan SDM yang terencana dengan baik, bersama dengan penciptaan serta pemeliharaan infrastruktur yang memadai, serta pelatihan yang disesuaikan dengan kebutuhan individu karyawan, bisa secara signifikan meningkatkan produktivitas di tempat kerja Kesbangpol OKU Timur.
IoT-enabled smart nutrition scale using fuzzy logic for dietary assessment and recommendation Widiyanto, Wahyu Wijaya; Susanto, Edy; Suparti, Sri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1194-1201

Abstract

Childhood malnutrition, particularly stunting, remains a major public health challenge that requires preventive and technology-supported nutritional interventions. This study presents an IoT-enabled smart nutrition scale integrated with fuzzy logic to support real-time dietary assessment and personalized recommendation. The system combines IoT-based sensing, mobile and web applications, and a fuzzy inference engine that evaluates child profiles and food composition data to generate nutritional adequacy scores and tailored dietary guidance. Experimental validation demonstrates high measurement accuracy of the sensing system, achieving a strong linear correlation (R² ≈0.9995). Comparison with expert nutritionist assessments shows strong agreement, supported by low error values (mean absolute error (MAE) =2.96; root mean square error (RMSE) =3.41), and Bland–Altman analysis. Usability evaluation involving community health workers and caregivers yields an excellent system usability scale (SUS) score, indicating strong acceptance for practical deployment. By integrating IoT sensing with fuzzy reasoning, the proposed system shifts nutritional monitoring from retrospective assessment toward proactive dietary intervention. This work highlights the potential of intelligent nutrition technologies to enhance decision-making in community-based stunting prevention programs and provides a scalable foundation for preventive digital health applications.
Co-Authors A.M, Juhri Adfit, Muhammad Fikri Adhani Windari, Adhani Adi Atma, Alfian Adrian, Qaanitah Sakha Ady Bakri, Asri Afifah, Mutia Nur Afni Safitri, Nur Agung Nugroho Setiawan Agus Subhan Akbar, Agus Subhan Ahmad Arif Ahmad Asrori Ahoen, Bahori Al Kurnia, Dyanovita Alani, Gina Tri Alfiana Alfiana Aliyya, Wenny Ladhunka Nur Amalia, Rizkiyatul Amdhi Yul, Fadlul Amin, Muhammad Fathul Aminudin, Muhammad Andayani, Nurfitri Andiani, Lia Anik Fadlilah Anik Fadlilah Anik Fadlilah, Anik Antira, Lady Anwar Ilmar Ramadhan Aprilyanti, Cindy Ardiansyah, Novriza Wahyu Ardiyanto, Jefri Ari Suwondo ARI WAHYUDI Aria Hertanto, Arif Arie Hadiansyah, Muhammad Arinal Hasanah, Putri Fatmawati Ariyanti, Tri Dina Asih Budiati, Tri Asri asri asrul, asrullah Astuti, Lina Tri Atma, Alfian Adi Ayu Ismi Hanifah Azkarahman, Aldyon Restu Badrun, M. Bagus Abimanyu, Bagus Baharudin, Agus Bainamus, Putri Milanda Bakri, Asri Ady Bambang Satoto, Bambang Banat , Azizatul Banyu Arga, Ciptaning Basalamah, Muhammad Syafi'i A. Basyir Rantawi, Azhar Bintang Wahyuningsih, Nur bogy restu ilahi Budhi Rahardja, Istianto Budiati, Tri Asih Budiharto Budiharto Chastine Fatichah Criswanto, Mohamad Akbar Ryo Dani Setiawan Darmini Darmini Darwis Said, Darwis Dede Hertina Dian Kusuma Wardhani Dikza Ramadhan, Risa Donny Fernandez Dwi Al Farizi, Faizal DWI ISKANDAR Dwi Sudarno Putra Dyah Adriantini Sintha Dewi Eha Renwi Astuti Eka, Andi Primafira Bumandava Eko Puji Kaptiyanti, Edining Elizar Elizar, Elizar Eri Hartanto, Eri Erna Zakiyah Erwin Erwin Fadhilah, Ernita Shafa Nur Fadilah, Muhammad Reffy Fadlul Amdhi Yul, Fadlul Amdhi Fahmi, Marhalis Fani, Putri Irena Yupry Farenza, Gita Fatah, Ujang Fauzia, Nurul Febianti, Vira Febrianti , Mariska Febrianto, Sucipto Feskariani, Dwi Firman Jaya Fitri, Liza Aulia Fitria , Yenni Gatot Murti Wibowo, Gatot Murti Gatot Santosa, Gatot Gozali, Mochtar Gumilang Nurfirmansyah, Muhammad Aditya Hadiwinarto Hadiwinarto Hanafi, Arifah Puput Handayani, Agustia Handayani, Ike Mawarni Hanifah, Rizka Nurul Hariri, Ahmad Hasan Maksum Hendra Saputra Herlinda Mansyur Herly Evanuarini Hermawansa, Hermawansa Hermawasnsa Hertanto, Arif Aria Hidayatullah, Ade Hotdian Sinambela, Hotdian Husna, Dewi Asmaul Husnul Muthoharoh Ikhtiari, Kirana Ilahi, Bogy Restu Ilmar Ramadhan, Anwar Imron Natsir, Imron Indrayanto, Indrayanto Innayatullah, Ahmad Irena Yuprifany, Putri Irra Chrisyanti Dewi Jauhariansyah, Septian Judijanto, Loso Juliana, Ari Jumawan, Jumawan Junaid, Asriani Kartika, Erawati Kartika, Sintia Ela Kartiwi, Asti Putri Kevin kevin Khaeunisa, Ismah Koiruman, Joko Andi Krisdiana Wijayanti Kumar, K Sathish Kurnianingsih Kurnianingsih, Kurnianingsih Kuswardana, Muhamad Fadli legito, Legito Lestari, Deva Lubis , Nurhanifah Fadhliyah Lubis, Muhammad Rizqi Luthfia , Izza M. Yasep Setiawan Macariola, Julie Simon Mahadewa, Mirza Maharani, Puspita Ayu Maharani, Suci Majid , Assyeh Annasrul Majid, Assyeh Annasrul Maozyonzyah, Adit Saputra Marhamah Marhamah martiani Martiani Martiani, Martiani Maslukin, Maslukin Maudiastiti, Meylinda Putri Ayu Maulana, Ismet Mayulia , Yuyun Medriati, Rosane Meilida Eka Sari Meliya, Leza Fica Melyana Nurul Widyawati Mesterjon, Mesterjon Meutia Tari, Eka Mikaresti, Pamela Muh. Arif Muhammad Kristiawan Muhammad Su'un Mukti, Gatot Ari Murlena, Murlena Nabeel Syah, Muhammad Rafa Nafiiyah, Nur Nastiti Sumarsono, Qabila Cita Kurnianusa Nastiti Sumarsono, Qabilah Cita Kurnia Nasution, Ichsan Naufal Rangga Gumilang, Raden Naufaly, Muhammad Syah Nipriansyah, Nipriansyah Nisrina, Ulfah Laila Nizam Husen, Mohd Nopriansyah NOVIANTI, MAYA Novianti, Nurhaliza Nur Afifah, Mutia Nur Aifa Nur Aliyya, Wenny Ladhunka Nurhasanah, Shandra Dewi Nuridzati, Arifina Nuzul Hidayat, Nuzul Oktari, Vivi Oktaria, Sheren Dwi Oktarina, Tika Oktarina, Yetty Oktavia Pambudi, Dian PA Andiena Nindya Putri Pariyasto, Sofyan Parwito Parwito, Parwito Pradana, Muhammad Yoga Pratiwi, Rahmaliya PUJI LESTARI Pujiastuti, Rr. Sri Endang Puput Hanafi, Ariffah Purwanto, Wawan Puspa Rini Puspitasari, Norma Putra, Muhammad Adhitya Thamisyah Putra, Ramadhan Hardani Putri Milanda Bainamus Putri, Frestiany Regina Putri, Vina Ananda Qustiawan, Akhmad RACHMAT HIDAYAT Rahardja, Istianto Budhi Raharjo, Refina Pebriyana Rahayu, Nugroho Tulus Rajendra, Muhammad Rafi Ramadana, Radiyah Rambat Nur Sasongko Ramli Semmawi, Ramli Rantawi, Azhar Basyir Rasyid Rasyid, Rasyid Ratna Kumala Dewi Ratnawati, Anista Yulia Regina Putri, Frestiany Rifani, Riza Amalia Rini Indrati, Rini RISALDI, HALFIC Rismaya Marbun Rita Zulbetti Riyanto, Muklis Riyanto, Ridho Rohmah, Alfisna Fajru ROSIVA ROSDIANA, SILVI Rosyidi, Ridhwan Runjati S Mulyadi, Dikdik S. Mulyadi, Dikdik Saipul Saputra, Cholin Edi Saputra, Riszki Sari, Meilida Eka Sari, Yayak Kartika Sari, Yeti Kartika Sefita, Ananda Septiani, Camilla Setiyadi, Johar Setyaningsih, Erna Sholikha, Rohmatus Siddiqa, Heidi Sinta, Dwi Siregar, Ahdiat Leksi Siti Masrochah Sitorus, Lizvan Sofian . Sopandi, Agus Tatang Sri Rejeki Sri Sumarni Sri Suparti Sri Widiyati, Sri St.Sukmawati S. Stanzah, Edo Subhan Subhan Sudarmanto, Eko Sudarwan Danim Sudiyono Sudiyono Sugianto Sugianto Suharso Suharso Sulistyati, Hanifah Sumantri , Ajis Sumartono Sumartono Supriadi Supriadi Supriadin, Eman Supriono Supriono Supriyana Supriyana, Supriyana Suryati Kumorowulan Susena, Edy Susena, Edy SYAMSU ALAM Syifa Mustika Taftazani, Muhammad Zaidan Tamaulina Br Sembiring Theresia Theresia Tohardi, Ahmad Toruan, Enjelya Peronika Lumban Tri Khairullah, Rafi Triyugo Winarko, Triyugo Ulhaqiyah, Asyifa Ulil Absor, Muhammad Iqbal Iszuddin Ummu Kalsum Utama, Nico Vantra Viona, Elsa Wahidin Wahidin Wahidin Wahyuningsih, Nur Bintang Wardana, Satria Wisnu Wenny Ladhunka Nur Aliyya Wibawa, Agus Wibowo, Bogi Pratomo Wicaksono, Aliansi Widiyanto, Wahyu Wijaya Wijaya, Nopa Wijayanti, Maylinda Yenni Fitria Yudhi Gunardi Yuliansyah, Chandra Yulianti, Eka Budi Yunita Sari Yusuf, Doni Zahra, Hanifah Yulia Az Zahra, Theofani