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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences Media Teknik Sipil SAINS MEDIKA : JURNAL KEDOKTERAN DAN KESEHATAN PHARMACON International Journal of Renewable Energy Development Nurse Media Journal of Nursing Bioma : Berkala Ilmiah Biologi JURNAL ANATOMI FISIOLOGI SAINS DAN MATEMATIKA Animal Agricultural Journal Media Penelitian dan Pengembangan Kesehatan AL KAUNIYAH Techno.Com: Jurnal Teknologi Informasi Indonesian Journal of Mathematics and Natural Sciences Jurnal Bahan Alam Terbarukan Sainteknol : Jurnal Sains dan Teknologi Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Peternakan Indonesia Teknofisika Jurnal Informatika dan Teknik Elektro Terapan Biology, Medicine, & Natural Product Chemistry POROS TEKNIK Jurnal Media Hukum Konversi Indigenous: Jurnal Ilmiah Psikologi Public Health of Indonesia Jurnal Ilmiah Pertanian MEDIAPSI JLBG (Jurnal Lingkungan dan Bencana Geologi) (Journal of Environment and Geological Hazards) Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini JOURNAL OF APPLIED INFORMATICS AND COMPUTING Communications in Science and Technology Biosaintifika: Journal of Biology & Biology Education Berkala Bioteknologi Buletin Anatomi dan Fisiologi (Bulletin of Anatomy and Physiology) KOMPUTIKA - Jurnal Sistem Komputer Biota Journal of Aero Technology Journal of Education, Humaniora and Social Sciences (JEHSS) Jurnal Ilmu Kefarmasian Indonesia UPEJ Unnes Physics Education Journal Indonesian Physical Review Indonesian Comparative Law Review Abdimas Universal Jurnal Suara Hukum Physics Communication Jurnal Ilmiah Ar-Risalah: Media Ke-Islaman, Pendidikan, dan Hukum Islam Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi Community Empowerment ELEMENTARY : Jurnal Inovasi Pendidikan Dasar Media of Law and Sharia Jurnal DIDASKO Jurnal Abdi Masyarakat Indonesia Journal of Education Research Ritornera - Jurnal Teologi Pentakosta Indonesia Agrikan: Jurnal Agribisnis Perikanan SENTRI: Jurnal Riset Ilmiah Jurnal Pendidikan, Sains dan Teknologi Jurnal Karya Abdi Masyarakat Journal of Artificial Intelligence and Digital Business Applied Quantitative Analysis (AQA) International Journal of Curriculum Development, Teaching and Learning Innovation Rechtsnormen Journal of Law International Journal of Emerging Research and Review Journal of Research and Inovation in Civil Engineering as Applied Science Jurnal Studi Manajemen Bisnis Biosaintifika: Journal of Biology & Biology Education International Journal of Education, Vocational and Social Science Jurnal Kefarmasian Indonesia Tunas: Jurnal Penelitian Pendidikan Dasar Journal of Engineering and Technological Sciences KINERJA : Jurnal Ekonomi dan Bisnis Jurnal Penelitian Pendidikan JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Sunarno Sunarno
Politeknik Negeri Balikpapan
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Earthquake magnitude prediction in Indonesia using a supervised method based on cloud radon data Pratama, Thomas Oka; Sunarno, Sunarno; Wijatna, Agus Budhie; Haryono, Eko
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i3.pp577-585

Abstract

In the challenging realm of earthquake prediction, the reliability of forecasting systems has remained a persistent obstacle. This study focuses on earthquake magnitude prediction in Indonesia, leveraging supervised machine learning techniques and cloud radon data. We present an analysis of the tele-monitoring system, data collection methods, and the application of regression-based machine learning algorithms. Utilizing a comprehensive dataset spanning 30 training instances and 105 test instances, the study evaluates multiple metrics to ascertain the efficacy of the prediction models. Our findings reveal that the linear regression approach yields the best earthquake magnitude prediction method, with the lowest values across multiple evaluation metrics: standard deviation 0.40, mean absolute error (MAE) 0.30, mean absolute percentage error (MAPE) 6%, root mean square error (RMSE) 0.52, mean squared error (MSE) 0.28, symmetric mean absolute percentage error (SMAPE) 0.06, and conformal normalized mean absolute percentage error (cnSMAPE) 0.97. Additionally, we discuss the implications of the research results and the potential applications in enhancing existing earthquake prediction methodologies.
Spatial aliasing effects on beamforming performance in large-spacing antenna array Suroso, Dwi Joko; Gautam, Deepak; Sunarno, Sunarno
Communications in Science and Technology Vol 4 No 1 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.043 KB) | DOI: 10.21924/cst.4.1.2019.109

Abstract

In the next wireless communication generation, 5G, it is obvious to employ the half-spacing antenna elements as high-resolution antenna array. However, to compensate the lower aperture from short-spacing elements, the number of antennas should be grown larger. It will be costly and increase complexity in terms of antenna array analysis. In this paper, the aliasing effects on beamforming of antenna array geometry utilizes inter-element spacing more than half-lambda. The antenna geometry of linear, circular and planar will be explored in this paper and the center frequency for simulation is 60 GHz. It is also due the fact that many researchers on 5G believe 60 GHz will be employed as 5G frequency band. 60 GHz is truly higher than today Long-term-evolution (LTE) working frequency and it is really challenging to its signal model due to small wavelength and its effective signal working distance as effect of rain attenuation, etc. As our preliminary results, linear array, which only considers the azimuthal, the spatial aliasing appears in the inter-element distance more than 1-lambda. The circular and planar consider the azimuth and elevation properties of incoming signals. In circular array, the power angular of a signal can be detected accurately applying the 3-sector antenna pattern. When the inter-element distance grows more than 1.5 lambda, the spatial aliasing which appear to be side lobe with similar power angular dominate the incoming signal detection. The result shows us that employing the 2-lambda distance or more will be useless. Planar array which actually a 2-axis linear array give unexpected results, most of detections are inaccurate and power angular also low. This concludes that spatial aliasing effects will degrade the beamforming performance due to confusion between real signal and fake signal resulting from similar values of array factor.
Earthquake Date Prediction Based on The Fluctuation of Radon Gas Concentration Near Grundulu Fault Pratama, Thomas Oka; Sunarno, Sunarno; Waruwu, Memory Motivanisman; Wijaya, Rony
Jurnal Lingkungan dan Bencana Geologi Vol 14, No 2 (2023)
Publisher : Badan Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34126/jlbg.v14i2.478

Abstract

There were 5 to 26 destructive earthquakes from 2020 to 2022 in Indonesia. Earthquake prediction is unsuccessful and has not provided a reliable forecasting mechanism. At the same time, it is necessary to have an earthquake early warning system to reduce the risk of an accident. In Indonesia, radon gas has been studied to determine its relationship with earthquake events, but earthquake predictions have low sensitivity and accuracy values. In this study, the prediction of earthquake time was carried based on radon gas concentration fluctuations in the active Grundulu fault, which is located in Pacitan, East Java, Indonesia. The method is to collect radon gas concentration measurement data from telemonitoring stations near active faults. The data is then sent to the web server and processed based on the daily average. The daily average of radon gas concentrations and earthquake occurrences is tabulated by day. The daily average data for the concentration of radon gas that is processed is when an earthquake occurs between the Eurasian and Indo-Australian plates with a magnitude of more than M4.5. After that, the daily average radon gas concentrations were statistically processed to find the earthquake time prediction algorithm. The study's findings show that earthquakes above M4.5 that occur between the Eurasian and Indo-Australian plates can be predicted using statistical data processing from radon gas concentration measurements near the Grundulu fault, Pacitan, 1-4 days before the earthquake. The earthquake date prediction algorithm developed has a sensitivity and precision of 78.79% and 70.27 %. This achievement is better than previous research that predicts the time of earthquakes near the Opak Fault, Yogyakarta.Kata kunci: Active Fault, Earthquake, Prediction, Radon, Telemonitoring
Karakteristik Sel Punca Mesenkim yang Berasal dari Tali Pusat (Umbilical Cord Derived Mesenchymal Stem Cell/UCMSC) dari Macaca fascicularis dan Sekretomnya dalam Kondisi Hipoksia Dumingan, Alvian; Malik, Amarila; Rinendyaputri, Ratih; Utama, Hieronimus Adiyoga Nareswara; Sunarno, Sunarno; Purwaningtyas, Yoggi Ramadhani; Idrus, Hasta Handayani; Noverina, Rachmawati; Huda, Fathul; Faried, Ahmad
Biota Vol 17 No 1 (2024)
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jb.v17i1.492

Abstract

Mesenchymal Stem Cell (MSC) secretome has potential as a neuroprotective and neuroregenerative agent. It can have effects due to its paracrine factors, such as Brain Derived Neurotrophic Factor (BDNF) and Stromal-Cell Derived Factor-1 (SDF-1) which can be induced with hypoxia preconditioning. This compound may play a role in the treatment of neurological diseases. Stroke has become a neurological disease that contributes to high rates of mortality and morbidity worldwide. There have been several pre-clinical trials on animal stroke models using MSC secretomes from rats and humans, but no studies have been conducted on Non-Human Primate, such as Macaca fascicularis. This species has been widely used in biomedical research and part of it can be utilized for such studies which will reduce the cost of using human MSC. The results of this study, Umbilical Cord (UC)-MSCs of Macaca fascicularis have been successfully cultured and characterized in terms of phenotypic and differentiation. Hypoxia precondition was able to induce BDNF secretion up to 264 pg/mL and SDF-1 up to 666 pg/mL in the UCMSC secretome. Hypoxic preconditioning with 3% oxygen can induce the most optimal BDNF and SDF-1 secretion, compared to 1% and 5% hypoxia.
PENERAPAN MACHINE LEARNING DENGAN ALGORITMA SUPPORT VECTOR MACHINE UNTUK PREDIKSI KELEMBAPAN UDARA RATA-RATA Sulistyowati, Indah Dwi; Sunarno, Sunarno; Djuniadi, Djuniadi
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Volume 15 No 1, September Tahun 2024
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.15.1.284-290

Abstract

Machine learning dapat digunakan untuk memprediksi suatu data. Support Vector Machine merupakan bagian dari teknik data mining yang dipergunakan untuk mengidentifikasi dan memprediksi hubungan antara variabel pada suatu dataset. Metode ini efektif untuk melakukan prediksi baik itu untuk klasifikasi ataupun analisis regresi. Perangkat lunak Orange Data Mining 3.3.12 digunakan untuk melakukan proses prediksi. Selanjutnya algoritma Support Vector Machine digunakan untuk memprediksi kelembaban udara. Data masukan adalah suhu, kecepatan angin, penyinaran matahari, dan juga kelembaban udara harian maksimum dan minimum.  Data diambil dari Stasiun Meteorologi Jawa Timur di wilayah Malang pada tahun 2015-2023 sebanyak 2922 dataset. Tujuan penelitian ini adalah untuk mendapatkan nilai RMSE, MAE, dan R-Squared (R2). Rasio perbandingan data pelatihan dan data pengujian ditetapkan pada 70:30. Hasil penelitian menunjukkan bahwa hasil akurasi Root Mean Squared Error (RMSE) dengan nilai 3,378, Mean Absolute Error (MAE) dengan nilai 2,738, dan R-squared (R2) dengan nilai 0,723. Berdasarkan hasil korelasi tersebut menunjukkan bahwa algoritma Support Vector Machine ini termasuk memiliki pengaruh kuat terhadap hasil prediksi kelembaban udara rata-rata harian
Edukasi Bahan Kimia Berbahaya sebagai Pengawet Makanan di Kecamatan Tangkerang Timur, Pekanbaru, Riau Al’farisi, Cory Dian; Sunarno, Sunarno; Fadli, Ahmad; Mutamima, Anisa; Azis, Yelmida; Nurfatihayati, Nurfatihayati; Utama, Panca Setia; Suhendri, Suhendri; Habib, Alltop Amri Ya
Jurnal Abdi Masyarakat Indonesia Vol 4 No 5 (2024): JAMSI - September 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.1331

Abstract

Bahan pengawet adalah sejenis bahan tambahan yang sudah digunakan secara umum oleh masyarakat. Penambahan bahan pengawet pada berbagai jenis makanan memiliki tujuan untuk mencegah tumbuhnya bakteri pembusuk, baik pada bahan mentah maupun produk akhir. Penggunaan bahan pengawet sejauh ini tidak memperhatikan dosis dan jumlah asupan yang ditambahkan sehingga sering menjadi pemicu gangguan kesehatan. Namun banyak produsen makanan yang sering melakukan penyalahgunaan penambahan bahan pengawet bersifat toksik dan karsinogenik ke dalam bahan pangan, sehingga perlu adanya edukasi dan sosialisasi cara mendeteksi secara sederhana zat pengawet yang ada dalam pangan pada masyarakat terutama di Yayasan Al-Anshar. Hal ini karena yayasan Al-Anshar memiliki badan usaha sendiri yang mampu memproduksi berbagai jenis makanan seperti: berbagai jenis roti, bakso, tahu dan makanan ringan lainnya. Kegiatan pengabdian ini diawali dengan edukasi dan sosialisasi mengenai jenis-jenis bahan pengawet pada makanan. Hasil kegiatan menunjukkan bahwa edukasi bahan pengawet pada produk makanan dapat meningkatkan pengetahuan dan pemahaman peserta pelatihan sehingga mampu melakukan analisis dengan metode sederhana dalam mendeteksi bahan pengawet yang berbahaya seperti formalin dan boraks.
Pengaruh Meniran (Phyllanthus niruri L) Terhadap Patogenesis lnfeksi Salmonella Sunarno, Sunarno
Jurnal Kefarmasian Indonesia VOLUME 1, NOMOR 2, 2009
Publisher : Pusat Penelitian dan Pengembangan Biomedis dan Teknologi Dasar Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/jki.v1i2.2844

Abstract

Typhoid/paratyphoid disease is a major problem in Indonesia. Management of therapy including the use of immunomodulator must be developed continuously. In this case Phyllanthus niruri L is immunomodulator that has been usefitl to increase the animal and human immunity. The purpose of this stun) was to know the influence of Phyllanthus niruri L on the Salmonella infection focusing on spleen bacterial colonies. The experiment was designed with post test-only control group to 18 Bab/C Mice infected by Salmonella typhimurium divided into one control group and two experimental groups which hmie given Phyllanthus niruri L of 3x 0.125 mg/day (P1) and 3x 0.25 mg/day (P2) orally. Statistical analysis was used Oneway ANOVA test. The research result showed that treatmen P1 had significant influence to decrease spleen bacterial colonies compared to control group.
Selektivitas Medium Cystine Tellurite Blood Agar (CTBA) terhadap Beberapa Isolat Bakteri Sariadji, Kambang; Sunarno, Sunarno; Puspandari, Nelly; Muna, Fauzul; Rukminiati, Yuni
Jurnal Kefarmasian Indonesia VOLUME 5, NOMOR 1, FEBRUARI 2015
Publisher : Pusat Penelitian dan Pengembangan Biomedis dan Teknologi Dasar Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/jki.v5i1.3030

Abstract

Cystine tellurite blood agar (CTBA) medium is a selective medium for Corynebacterium diphtheriae culture. The presence of tellurite is a selectivity of this medium to inhibit the others bacteria. Others medium were used as a selective medium for the culture of Corynebacterium diphtheriae were tinsdale and Hoyle medium, but was recommended by the World Health Organization (WHO) were CTBA and hoyle medium. However, information about the selectivity of medium was recommended by WHO is still limited. The aims of study to determine the selectivity of medium against a number of others species bacteria on CTBA. A number of 24 isolates contains of different species Corynebacterium spp and others species were regrown, then all isolates were cultured in CTBA medium, incubated for 24 – 48 haours at 37°C. The growthing of colony in CTBA were observed. The results showed that 7 isolates for Corynebacterium species can grow well on medium CTBA, 5 isolates from different species showed growth in CTBA medium including Staphylococcus aureus, Streptococcus pneumoniae, Enterobacter sakazakii , Klebsiella pneumoniae and Candida albicans. Meanwhile the rest 12 isolates showed no growthing on CTBA medium. Therefore it can be concluded that the selectivity of the CTBA medium has limited capabilities
Topical Ointment Anredera cordifolia Leaves Ethanolic Extract-Loaded Nanochitosan Promotes Wound Healing in Hyperglycemic Rat Alfatinnisa, Zalfa; Andriyan, Mohammad Wahyu; Saputra, Muhammad Ragil; Astuti, Endah Puji; Sunarno, Sunarno; Isdadiyanto, Sri; Subagio, Agus; Jaya, La Ode Irman
Biosaintifika: Journal of Biology & Biology Education Vol. 16 No. 1 (2024): April 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v15i1.1842

Abstract

Wound healing in hyperglycemia patients is still a challenge in the medical field. Bioactive compounds of binahong leaf extract can support the wound healing process. Nanoencapsulation of the extract can avoid oxidation and optimize drug delivery to target tissues. This study aimed to analyze the effect of nanochitosan encapsulated binahong extract ointment (NEBE/Oint) on the percentage of wound healing, angiogenesis, collagen density, and epithelial thickness in hyperglycemic rats. This study used 80 mg/kg streptozotocin-induced hyperglycemia rats injured in the back area. Rats were divided into P0 (0,9% NaCl), P1 (10% povidone-iodine ointment (PI/Oint)), P2 (10% NEBE/Oint), P3 (20% NEBE/Oint), P4 (30% NEBE/Oint). Phytochemical screening of binahong leaves extract showed positive results for flavonoids, alkaloids, saponins, and tannins. NEBE particle size was 169 nm with a size distribution of 0.2 and a zeta potential value of -40,2 mV. The results showed NEBE ointment had a significant effect when compared with negative control on wound healing hyperglycemic rats. The conclusion is that nanochitosan drug delivery has the potential as an alternative wound treatment. The novelty of this study is the use of nanochitosan to accelerate wound healing in hyperglycemic rats. The results of this study are expected to become a reference for new wound-healing methods in the medical field.
Interdisciplinary Approaches in Legal Studies: Combining Social Science and Data Science Sagena, Unggul; Idris, Haziq; Fariq, Aiman; Khan, Omar; Sunarno, Sunarno
Rechtsnormen Journal of Law Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v2i4.1258

Abstract

Background. The integration of interdisciplinary approaches in legal studies is increasingly recognized as essential for addressing complex societal issues. Combining social science and data science offers innovative ways to analyze legal phenomena, providing deeper insights and more robust solutions. Purpose. This study aims to explore the benefits and challenges of integrating social science and data science in legal studies. The research seeks to identify effective interdisciplinary methodologies, evaluate their impact on legal research outcomes, and propose frameworks for their implementation in legal academia and practice. Method. A mixed-methods research design was employed, utilizing both qualitative and quantitative approaches. The study involved a literature review, case studies, and expert interviews to gather insights into existing interdisciplinary practices. Additionally, data analysis techniques from social and data sciences were applied to legal datasets to demonstrate the potential of these methods in enhancing legal research. Results. The findings indicate that integrating social science and data science in legal studies significantly enhances the analytical depth and breadth of legal research. Case studies revealed successful applications of interdisciplinary methods in areas such as criminal justice, human rights, and regulatory compliance. Conclusion. The study concludes that interdisciplinary approaches combining social science and data science hold great promise for advancing legal studies. Implementing these methodologies can lead to more informed legal analyses, better policy recommendations, and enhanced legal education.
Co-Authors A. Cristina, A. Abdullah, Ridwan Aditya Wiraswan Afifuddin, M. Aris Agus Budhie Wijatna Agus Subagio Agustin, Yuli Ahmad Fadli Ahmad Faried Ahmad Syadzali Ain, Mohamad Isram M Aisyah Aisyah Al'farisi, Cory Dian Alfani, M Iram Alfarisi, Cory Dian Alfatinnisa, Zalfa Alfiandry, Muhammad Alief Rifaldi Altarawneh, Mohammednoor Amarila Malik amelia cristina, amelia Amun Amri Ananda, Khuzyia Rizqi Triavi Andriyan, Mohammad Wahyu ANGGIA PUTRI Ani Rusilowati Aretama, Lucky Barga Ari Bawono Putranto Ari Wibawa Budi Santosa Armiati, Reni Arsha, Nabila Syahadati Arsyaningrum, Aurellia Putri Budi Arum, Agnes Yustika Wulan Arwani Arwani Asiyah, Tahsya Avisha, Hafsah Azmi, Muhammad Quraish Shohibul Bambang Jati Kusuma, Bambang Jati Barus, Surya Danta Alberto Budi Setiyanto Cahya Setya Utama Christian, Michael D Martina, D Darmiyati Denny Hardiyanto Desi Heltina Desi Wulandari, Desi Dewantara, Dede Dewi Ratih Agungpriyono Dewi, Wahyu Narulita Dewita, Putri Aurora Djuniadi , Djuniadi Djuniadi Djuniadi Dumingan, Alvian Dunggio, Maryam Dwi Hartanti, Monica Dwi Joko Suroso EDY RIANTO Edy Saputra Eko Haryono Eko Retno Indriyarti Endah Puji Astuti, Endah Puji Endang Sulistyowati Erma Prihastanti Fabryza, Dhina Fanani, Ahmad Aziz Faridah Faridah Fariq, Aiman Fathi Hidayah, Fathi Fauzi, Adnan Fauzul Muna Feddy Setio Pribadi Feriadi, Yusron Fernando, Rio Agustian Gilang Fianti Fianti, Fianti Fitriana Fitriana Frimacia, Tifanny Gautam, Deepak Gozali, Gozali Gunawan, Rida Arwanda Habib, Alltop Amri Ya Harahap, Abi Hamdalah Sorimuda Haris Supratno Hartono Hartono Havid Viqri Muhammad Redha, Havid Viqri Muhammad Heru Hendrayana Hidayah, Rizki Roqissatul Huda, Fathul Huwaidah Husna, Fathiyah I Wayan Mustika Ian Yulianti, Ian Ida Zahrina Idris, Haziq Indriyanto, Erwin Iqbal Iqbal Isnaini, Muhammad Dody Jati, Pamungkas Jatmiko, Arif Budi Jaya, La Ode Irman Jiang, Zhong Tao Kambang Sariadji Kamila, Syabina Karmila Achmad Karnisih, Karnisih Kasiyati Kasiati Kasman, Alief Sadlie Khairunnisa, Nurul Fathia Khan, Omar Khasanah, Miftakul Kristanto, Rachellita Elizania Kusdar, Kusdar Kustopo Budiraharjo Leonardy, Joshu Lestari, Fiya Auliya M. Ain, Mohammad Isram M. Anwar Djaelani Magatri, Alia Laksmi Dyah Mahmuddin Mahmuddin Mariatul Kiptiah Masturi Masturi Maura, Maisya Sifana Ma’rifah, Siti Memory Motivanisman Waruwu Miran, Hussein A. Mufatihah, Nishfa Muhammad Anwar Djaelani Muhammad Ridwan Mukh Arifin Mulalinda, Stella Mulyantana, Anang Mutamima, Anisa N. Istiana, N. Nadhifah, Anisa Nanda, Widia Rizki Nastain, Muhamad NASTITI KUSUMORINI Nasution, Ahmadani Nazarudin Nelly Puspandari Noverina, Rachmawati Novi Amalia Novianti, Hetty Nur Handyka, Muhammad Ammar Nurfatihayati Nursabrina, Azra Batrisyia Nurul Istiana, Nurul Oktavia, Anik P. Dwijananti Pradieva, Christenta Tirta Pranoto, Beby Ista Pratama, Thomas Oka Pratiwi Dwijananti Prayogo, Defrian Purwaningtyas, Yoggi Ramadhani Putranto, Christophorus Arga Putri, Ratih Rinendya Putri, Rofiatul Adawiyah Qonitannisa, Shofi Rachmadya Nur Hidayah Rachmawan Budiarto Rahayu, Enik Rahman, M. Mahbubur Rahmat Wicakso, Doni Ratih Rinendyaputri Reni Yenti, Silvia Rini, Almalina Nabila Sulistyo Risanuri Hidayat Risnawan, Novan Rivetra, Amelia Hayu Rizki, Femas Arianda Rohmad Rohmad, Rohmad Rohman, Jihadul Hanif Fadlur Rony Wijaya Rudi HP Rudi Setiawan Rully Rahadian Rusadi, Alya Fakhirah Rusdy, M. Isnaini Al Sagena, Unggul Salsabila, Safira Septiandika Saputra, Aditya Lutfian Saputra, Muhammad Ragil Sara Wibawaning Respati, Sara Wibawaning Sari Dewi Panjaitan, Novaria Sari, Diah Arizki Wati Sari, Ronna Puspita Sarma, Deki Satriyo Adhy Sekarsari, Eryanti SELA SEPTIMA MARIYA Setyaji, Yekti Silelety, Angel Silvana Tana Silvia Reni Yenti Singgih Hawibowo Sintawati, Dwi Siringo Ringo, Lumayan Siti Muflichatun Mardiati siti zubaedah Sokmawati, Hajar Solikhin Solikhin Sri Isdadiyanto Sri Mulyani Sri Pujiyanto Subandiyah, Heny Subangkit Subangkit Sudarmadji Sudarmadji Sugianto Sugianto Suhendri Suhendri Sujarwata Sujarwata, Sujarwata Sukirman Sukirman Sulistyowati, Indah Dwi Sundari Sundari Suparmi Suparmi Supratno, Haris Supriyadi Supriyadi Susanty, Sri Susilo Susilo Sutaryani, Apit Sutikno Sutikno SYAIFUL BAHRI Syamsuri, KGS M Nurs Syarif Hidayat Tatag Yufitra Rus Teguh Suprihatin Telaumbanua, Yohanes Totok Sulistyo Trisno, Agung Tyas Rini Saraswati Utama, Hieronimus Adiyoga Nareswara Utama, Panca Setia Utomo, Galih R. W. P, Wasi Sakti Wasmen Manalu Wibawaning, Sara Wibowo, Suryo Wicaksono, Muhammad Tsaqif Widyatna, Nicolaus Evan Wijaya, Panca Buana Wiujianna, Atri Wulandari, Revika Yelmida Azis Yogi Prihandoko Yohanes, F. Andree Yohannes Sardjono Yudistira, Winnanda Yuni Rukminiati Yusuf, Bintang Akbar Zulfa, Laili Fitria Zulfikar, Muhamad Fikri