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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 Majalah Forum Teknik UGM AL KAUNIYAH Techno.Com: Jurnal Teknologi Informasi Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Proceeding International Conference on Information Technology and Business Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Peternakan Indonesia Teknofisika Jurnal Informatika dan Teknik Elektro Terapan Majalah Ilmiah MOMENTUM Konversi BIOMA Public Health of Indonesia Jurnal Ilmiah Pertanian 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) Jurnal Penelitian Pengelolaan Daerah Aliran Sungai JURNAL PengaMAS Jurnal Ilmu Perilaku KOMPUTIKA - Jurnal Sistem Komputer Biota Journal of Education, Humaniora and Social Sciences (JEHSS) Jurnal Ilmu Kefarmasian Indonesia Indonesian Physical Review Abdimas Universal Integrated Lab Journal Jurnal Suara Hukum Spizaetus: Jurnal Biologi dan Pendidikan Biologi Jurnal Ilmiah Ar-Risalah: Media Ke-Islaman, Pendidikan, dan Hukum Islam Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi ELEMENTARY : Jurnal Inovasi Pendidikan Dasar Jurnal DIDASKO Jurnal Inovasi, Kreatifitas Anak Usia Dini 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 Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) 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 J-CEKI JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Sunarno Sunarno
Jurusan Teknik Fisika, Fakultas Teknik, Universitas Gadjah Mada
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Identification of Nematodes in Root System of Nutmeg (Myristica fragrans Hountt) in Dokulamo Village West Galela North Halmahera Regency Mulyantana, Anang; Sunarno, Sunarno; Silelety, Angel
Agrikan Jurnal Agribisnis Perikanan Vol. 16 No. 2 (2023): Agrikan: Jurnal Agribisnis Perikanan
Publisher : Fakultas Pertanian, Universitas Muhammadiyah Maluku Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52046/agrikan.v16i2.1989

Abstract

Nematode s are plnat parasites that cause plant damage during most of their life cycle. This study aims to explore plant parasitic nematodes on the root system of nutmeg (Myristica fragrans Hountt). This research was conducted in Dokulamo Galela Barat Village, North Halmahera Regency from October to November 2022. This research consisted of two stages, namely sampling of nutmeg roots in the nutmeg plantation area and identification of nematodes on nutmeg roots using the Boerman method. The focus of this study was to identify the types of parasitic nematodes based on their morphological characteristics. The results showed that there were four types of parasitic nematodes that lived on nutmeg roots, namely Radhopolus sp., Meloidogyne sp., Rotylenchulus sp., and Pratylenchus sp
Spirulina Flour-based Feed Additive Improves the Physical and Chemical Eggs Quality of Tegal-Laying Duck Sunarno, Sunarno; Nur Handyka, Muhammad Ammar; Mulyani, Sri; Suparmi, Suparmi
Biosaintifika: Journal of Biology & Biology Education Vol 15, No 3 (2023): December 2023
Publisher : Department of Biology, Faculty of Mathematics and Sciences, Semarang State University . Ro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v15i3.48114

Abstract

Spirulina is a species of blue green algae that contains many phenolic compounds, phytonutrients and pigments which have potential as a feed additives to improve the physical and chemical quality of eggs. The present study evaluated the effect of spirulina flour-based feed additive supplementation during the late growth to the early egg-laying period on Tegal-laying ducks' physical and chemical egg quality. A total of 25 ducks were randomly divided into 5 treatments; the control group treated with standard feed (P0), P1, P2, P3, and P4 were treated with standard feed supplemented by spirulina flour-based feed additive at concentrations of 0.3%, 0.6%,1.2%, and 2.4%, respectively for four weeks. Physical quality indicators included the Haugh unit, yolk index, weight measurements, eggshell thickness, and shape index. Chemical quality indicators assessed albumen protein content, egg yolk cholesterol, and b-carotene levels. This research revealed that spirulina flour, added at concentrations between 0.30% and 2.40%, significantly enhanced the egg quality of Tegal-laying ducks compared to the control group. This study concludes that spirulina flour can be used as a feed additive to improve the physical and chemical quality of Tegal-laying ducks’ egg. The novelty of this research is spirulina flour has the potential to be used as a feed additive to increases the albumen protein levels, increases b-carotene, and reduces egg yolk cholesterol in eggs of Tegal-laying ducks. Spirulina flour can be a potential source of feed additive for various other local ducks in Indonesia.
Efektivitas Project Based Learning dan Realistic Mathematics Education Berbasis Asesmen Projek terhadap Literasi Numerasi Siswa SD di Lingkungan Lahan Basah Syadzali, Ahmad; Darmiyati, Darmiyati; Sunarno, Sunarno; Mahmuddin, Mahmuddin; Dewantara, Dede; Nazarudin, Nazarudin
Journal of Education Research Vol. 5 No. 4 (2024)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v5i4.1637

Abstract

Matematika memiliki peran krusial dalam pendidikan dasar hingga perguruan tinggi, tidak hanya sebagai mata pelajaran tetapi juga sebagai keterampilan penting dalam kehidupan sehari-hari. Tujuan pengajaran matematika adalah untuk membekali siswa dengan kemampuan berpikir kritis dan pemecahan masalah. Namun, hasil Program for International Student Assessment (PISA) 2022 menunjukkan rendahnya skor kompetensi matematika siswa di Indonesia termasuk di Kabupaten Banjar, yang menghadapi tantangan serius dalam literasi numerasi. Penelitian ini bertujuan untuk mengkaji efektivitas kombinasi Project-Based Learning (PjBL) dan Realistic Mathematics Education (RME) berbasis asesmen proyek dalam meningkatkan literasi numerasi siswa di SDN Sungai Miai 10 Banjarmasin, melibatkan 60 siswa kelas IV. Metode yang digunakan adalah quasi-eksperimen dengan desain faktorial 2x2. Hasil penelitian menunjukkan bahwa penerapan PjBL dan RME secara bersamaan dapat secara signifikan meningkatkan keterampilan berpikir kritis matematika siswa. Penilaian berbasis proyek terbukti lebih efektif dibandingkan tes tertulis dalam mengukur pemahaman konsep matematika. Temuan ini memberikan kontribusi penting bagi pengembangan strategi pembelajaran yang lebih efektif dalam pendidikan dasar di Indonesia, terutama di daerah dengan konteks lingkungan lahan basah yang kaya akan relevansi kehidupan nyata.
Catalytic co-pyrolysis of coal and polypropylene plastic into liquid fuel Sunarno, Sunarno; Reni Yenti, Silvia; Mutamima, Anisa; Huwaidah Husna, Fathiyah; Rahmat Wicakso, Doni; Isnaini, Muhammad Dody
Konversi Vol 13, No 1 (2024): April 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/k.v13i1.16043

Abstract

The decline in fossil fuel sources has stimulated research in the field of renewable fuels. Efforts are currently being made to find alternative energy sources that have high efficiency and are environmentally friendly. By looking at the existing problems, research on the co-pyrolysis of coal and polypropylene (PP) plastic into liquid fuel is interesting to do. The co-pyrolysis process was carried out at 400oC and nitrogen gas was flowed with a flow rate of 100 mL/min for 60 minutes with various ratio of raw material coal/PP plastic (100/0, 75/25, 50/50, 25/75), and ratio of CaO catalyst/raw material (0%, 10%, 15%, 20% w/w). The results showed that with the reduction in the ratio of coal/plastic, the yield of liquid fuel increased. Co-pyrolysis of coal: PP plastic with a ratio of 25:75 with the addition of 20% CaO catalyst obtained 37.56% liquid fuel yield with the characteristics of density of 0.839 g/mL, viscosity of 2.51 cSt, calorific value of 46.813 MJ/kg and pH of 2.9.
Comparison of Legal Protection of Labor in Indonesia and Pakistan Alfani, M Iram; Sunarno, Sunarno
Jurnal Suara Hukum Vol. 6 No. 1 (2024): Jurnal Suara Hukum
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jsh.v6n1.p187-205

Abstract

This article aims to conduct a comparative review of legal protections for workers in Indonesia and Pakistan, focusing on workers' rights and the sanctions imposed on companies that infringe upon these rights. The research serves to provide educational resources on labor protections for students and workers alike. Employing normative legal research methodology, both secondary and primary data were collected, with secondary data primarily sourced from literature reviews. Qualitative data analysis methods were applied to interpret information gathered from personal and official documents, as well as written sources, to derive conclusions. The findings highlight both similarities and differences in the implementation of workers' rights protections between Indonesia and Pakistan. Despite variations in approach, both countries demonstrate a commitment to upholding workers' rights within their respective legal frameworks. This study contributes to a deeper understanding of labor protections in diverse national contexts, offering valuable insights for academic study and practical application in the field of labor law and policy.
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
Co-Authors A. Cristina, A. Aditya Wiraswan Adriani Lestari Afifuddin, M. Aris Agus Budhie Wijatna Agus Subagio Agustin, Yuli Ahmad Fadli 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 Allailus Syah Safara Altarawneh, Mohammednoor Amarila Malik Amun Amri Andriyan, Mohammad Wahyu Anggalia Wibasuri Aretama, Lucky Barga Ari Bawono Putranto Ari Wibawa Budi Santosa Armiati, Reni Arsha, Nabila Syahadati Arsyaningrum, Aurellia Putri Budi Asiyah, Tahsya Aulia Permatasari Bambang Jati Kusuma, Bambang Jati Barus, Surya Danta Alberto Budi Setiyanto Cahya Setya Utama Catur Yuda Pujiani Chairul Chairul Christian, Michael Darmiyati Denny Hardiyanto Desi Heltina Dewantara, Dede Dewi, Wahyu Narulita Djati Mardiatno Djati, Astrid Laksmita Djuniadi , Djuniadi Djuniadi Djuniadi Dumingan, Alvian Dunggio, Maryam Dwi Hartanti, Monica Dwi Joko Suroso Dwi Wahyu Arifudiin Najib Dyah Tasya Eko Haryono Eko Retno Indriyarti Endah Puji Astuti, Endah Puji Fabryza, Dhina Fadillatul Nisa Fanani, Ahmad Aziz Faridah Faridah Faridah Faridah Fariq, Aiman Fathi Hidayah, Fathi Fauzi, Adnan Fauzul Muna Feddy Setio Pribadi Fernando, Rio Agustian Gilang Fianti Fianti, Fianti Fitriana Fitriana Gautam, Deepak Gozali, Gozali Gunawan, Rida Arwanda Habib, Alltop Amri Ya Haris Supratno 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 Irma Damayanti Isa Akhlis Isnaini, Muhammad Dody Jaya, La Ode Irman Jiang, Zhong Tao Kambang Sariadji Kamila, Syabina Karmila Achmad Karnisih, Karnisih Kasiyati Kasiati Kasiyati Kasiyati Khairunnisa, Nurul Fathia Khan, Omar Khasanah, Miftakul Koentjoro Koentjoro Kristanto, Rachellita Elizania Kusdar, Kusdar Kustopo Budiraharjo Laisa Husraini Leonardy, Joshu Lestari Lestari Lestari, Fiya Auliya M. Ain, Mohammad Isram M. Anggri Setiawan Mahmuddin Mahmuddin Mariatul Kiptiah Masturi Masturi Maura, Maisya Sifana Ma’rifah, Siti Memory Motivanisman Waruwu Miran, Hussein A. Mufatihah, Nishfa Muhammad Anwar Djaelani Muhammad Anwar Djaelani Muhammad Ridwan Muhammad, Sulthan Aghni Mulalinda, Stella Mulyantana, Anang Mutamima, Anisa N. Istiana, N. Nadhifah, Anisa Nazarudin Nelly Puspandari Noverina, Rachmawati Nur Handyka, Muhammad Ammar Nurfatihayati Nurizka Ayu Setiani Nursabrina, Azra Batrisyia Oktavia, Anik P. Dwijananti Panarat Cherntanomwong Pradieva, Christenta Tirta Pratama, Thomas Oka Pratiwi Dwijananti Prayogo, Defrian Purwaningtyas, Yoggi Ramadhani Putranto, Christophorus Arga Putri, Ratih Rinendya Putri, Rofiatul Adawiyah Rachmadya Nur Hidayah Rachmawan Budiarto Rahayu, Enik Rahman, M. Mahbubur Rahmat Wicakso, Doni Ratih Rinendyaputri Reni Yenti, Silvia Retno Khimantoro Reynato Wijaya Saputra Risanuri Hidayat Rivetra, Amelia Hayu Rizki Agustina Rizki, Femas Arianda Rohmad Rohmad, Rohmad Rohman, Jihadul Hanif Fadlur Rony Wijanarko Rony Wijaya Rudy Juandi Goeltoem Rusadi, Alya Fakhirah Sagena, Unggul Salsabila, Safira Septiandika Santoso Santoso Saputra, Aditya Lutfian Saputra, Muhammad Ragil Sara Wibawaning Respati, Sara Wibawaning Sari Dewi Panjaitan, Novaria Sari, Diah Arizki Wati Sarma, Deki Satriyo Adhy SELA SEPTIMA MARIYA Setyaji, Yekti Silelety, Angel Silvia Reni Yenti Singgih Hawibowo Sintawati, Dwi Siringo Ringo, Lumayan Siti Muflichatun Mardiati Siti Muflichatun Mardiati Solikhin Solikhin Sri Isdadiyanto Sri Mulyani Sri Mulyo Bondan Respati Sri Pujiyanto Subandiyah, Heny Sudarmadji Sudarmadji Suhendri Suhendri Sukirman Sukirman Sulistyowati, Indah Dwi Suparmi Suparmi Supratno, Haris Susanty, Sri Sutaryani, Apit Sutono Sutono SYAIFUL BAHRI Syamsuri, KGS M Nurs Syarif Hidayat Tatag Yufitra Rus Telaumbanua, Yohanes Tjetjep Darmawan Totok Sulistyo Trisno, Agung Utama, Hieronimus Adiyoga Nareswara Utama, Panca Setia Utomo, Galih R. W. P, Wasi Sakti Wibawaning, Sara Wibowo, Suryo Wicaksono, Muhammad Tsaqif Widyatna, Nicolaus Evan Wiujianna, Atri Wulandari, Revika Yelmida Azis Yogi Prihandoko Yohannes Sardjono Yuli Widyaningsih Yulia Sri Ulpah Yuni Rukminiati Yusuf, Bintang Akbar Zulfa, Laili Fitria