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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Kesehatan Lingkungan indonesia Media Statistika MATEMATIKA SAINS DAN MATEMATIKA JURNAL AKUNTANSI DAN AUDITING Jurnal Ekonomi & Bisnis PNJ (JEKBIS PNJ) Jurnal Gaussian Diponegoro Journal of Accounting Jurnal Pendidikan Ekonomi (JUPE) SELONDING Indonesian Journal of Conservation Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Jurnal Teknik Elektro JAM : Jurnal Aplikasi Manajemen Rekayasa Mesin Jurnal Promosi Pendidikan Ekonomi Indonesian Journal of Tropical and Infectious Disease JURNAL AKUNTANSI UNIVERSITAS JEMBER Semesta Teknika Elkawnie Jurnal Sains dan Inovasi Perikanan/Journal of Fishery and Innovation (JSIPi) Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Economic Education Analysis Journal Jurnal EMT KITA Turbo : Jurnal Program Studi Teknik Mesin Indonesian Journal of Applied Statistics JURNAL PENDIDIKAN GLASSER JURNAL EKONOMI PENDIDIKAN DAN KEWIRAUSAHAAN Prosiding Seminar Nasional Sains dan Teknologi Terapan JURNAL PENDIDIKAN TAMBUSAI Adimas : Jurnal Pengabdian Kepada Masyarakat Aquacultura Indonesiana JURNAL AGRI-TEK Procuratio : Jurnal Ilmiah Manajemen Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Jurnal Review Pendidikan dan Pengajaran (JRPP) Mudir : Jurnal Manajemen Pendidikan Jurnal Gema Ngabdi Balance Vocation Accounting Journal Instructional Development Journal Economic Education and Entrepreneurship Journal Jurnal Ilmiah Cendekia Eksakta Jurnal Sistem Komputer & Kecerdasan Buatan Community Development Journal: Jurnal Pengabdian Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Aviasi : Jurnal Ilmiah Kedirgantaraan Community Empowerment Indonesian Journal of Social Research (IJSR) Jurnal Cahaya Mandalika Progress in Social Development Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran International Journal of Health, Economics, and Social Sciences (IJHESS) Interdisciplinary Social Studies Jurnal Pendidikan dan Penciptaan Seni J-KIP (Jurnal Keguruan dan Ilmu Pendidikan) Fruitset Sains : Jurnal Pertanian Agroteknologi Bansi (Jurnal Bisnis Manajemen Akuntansi) KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Manajerial Bisnis Prosiding University Research Colloquium JPMA Seminar Nasional Produk Terapan Unggulan Vokasi Journal of Applied Business and Technology Jurnal Bisnis Event Politeknosain Innovative: Journal Of Social Science Research SJEE (Scientific Journals of Economic Education) Reflection: Education and Pedagogical Insights PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Interconnection: An Economic Perspective Horizon Jurnal Administrasi Profesional AutoMech : Jurnal Teknik Mesin JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Neraca Manajemen, Akuntansi, dan Ekonomi Jurnal Pengabdian Masyarakat dan Riset Pendidikan PREDATECS: Public Research Journal of Engineering, Data Technology and Computer Science JPAP (Jurnal Praktisi Administrasi Pendidikan) Bina Bahari : Jurnal Pengabdian Kepada Masyarakat eJEBA
Sudarno Sudarno
Jurusan Teknik Lingkungan, Fakultas Teknik, UNDIP, Semarang
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PEMODELAN AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY DALAM ANALISIS MAKROEKONOMI TERHADAP VOLATILITAS SAHAM PT DESTINASI TIRTA NUSANTARA TBK Anggraini, Asterina; Sudarno, Sudarno; Raihan, Muhammad
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 3 No. 2 (2022)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v3i2.2210

Abstract

Penelitian dilakukan dengan tujuan untuk mendapatkan pemodelan ARCH/GACRH untuk volatilitas saham PT Destinasi Tirta Nusantara Tbk serta menganalisis pengaruh variabel makroeonomi yaitu, nilai tukar, suku bunga, inflasi, indeks harga konsumen, dan jumlah uang beredar terhadap volatilitas saham PT Destinasi Tirta Nusantara Tbk. Metode analisis digunakan dalam penelitian adalah menggunakan model ekonometrik ARCH/GARCH. Dari hasil pengujian, model terbaik adalah ARCH (1,0) dan model tersebut dapat digunakan untuk menjelaskan pengaruh nilai tukar, suku bunga, inflasi, indeks harga konsumen, dan jumlah uang beredar terhadap volatilitas saham PT Destinasi Tirta Nusantara Tbk. Model ARCH (1,0) sebagai model terbaik karena memenuhi kriteria, yaitu semua konstanta dan koefisien pada model signifikan, memiliki nilai adjusted R-squared yang paling tinggi, dan melihat nilai koefisien AIC (Akaike Info Criterion) dan SIC (Schwarz Info Criterion) yang paling rendah. Hasil pengujian menunjukkan nilai tukar dollar terhadap rupiah (USD/IDR), inflasi, dan jumlah uang beredar berpengaruh secara negatif dan signifikan sedangkan suku bunga dan indeks harga konsumen berpengaruh positif dan signifikan terhadap volatilitas pada indeks saham pertambangan di Indonesia. Koefisien determinasi (nilai adjusted R-squared) sebesar 0,92. Hal ini berarti 92% variasi volatilitas pada saham PT Destinasi Tirta Nusantara Tbk dapat dijelaskan oleh variasi dari empat variabel makroekonomi, yaitu nilai tukar, suku bunga, inflasi, indeks harga konsumen, dan jumlah uang beredar sedangkan sisanya (8%) dijelaskan oleh sebab-sebab lain di luar penelitian. Selain itu, berdasarkan koefisien ARCH/GARCH ditemukan bahwa saham PT Destinasi Tirta Nusantara Tbk dipengaruhi volatilitas saham saat ini dan periode lalu. Volatilitas pada saham PT Destinasi Tirta Nusantara Tbk adalah persistent volatile yaitu volatilitas yang tinggi dan terjadi terus-menerus.
Optimasi Performa Kompor Oli Bekas dengan Variasi Jenis Bahan Bakar dan Sistem Preheating Sudarno, Sudarno; Wahyuni, Nurul Sri; Ramatulloh, Arya Eka
TURBO [Tulisan Riset Berbasis Online] Vol 14, No 1 (2025): TURBO : Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v14i1.4106

Abstract

Previous studies have shown that used oil can be used as an alternative fuel, although its efficiency is relatively low with a red to orange flame. To improve performance, design improvements need to be made, namely by preheating the fuel before entering the combustion chamber, selecting the right fuel, and improving the distribution of combustion air. This study aims to find the effect of fuel type on the resulting performance. The study was conducted using analysis and experimental methods. In this study, we continued the investigation related to the effect of fuel type on the resulting performance. The types of fuel used were used cooking oil, used oil, and new oil. The performance measured included efficiency, flame temperature distribution, and exhaust emissions. Based on this study, it was found that the stove with new oil fuel produced the best performance with the highest efficiency value of 56,16%. The highest temperature produced by new oil reached 1094°C, indicating better thermal stability compared to other fuels. In addition, exhaust emission tests showed that new oil produced the highest CO₂ levels (10,0%), the lowest CO (2,24%), and the lowest HC (24,4 ppm), indicating the most perfect combustion. This confirms that the use of new oil in used oil stoves with fuel preheating can increase thermal efficiency, and produce cleaner emissions.
Lung Disease Risk Prediction Using Machine Learning Algorithms Aulia, Ananda Putri; Adelia, Qaula; Mubarak, Haykal Alya; Fatan, Mohd. Adzka; Sudarno, Sudarno
Public Research Journal of Engineering, Data Technology and Computer Science Vol. 3 No. 1: PREDATECS July 2025
Publisher : Institute of Research and Publication Indonesia (IRPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/predatecs.v3i1.1858

Abstract

Lung diseases, including lung cancer, are one of the leading causes of death in the world. Early detection is essential to increase patients' chances of recovery and reduce healthcare costs. The utilization of machine learning algorithms can be used to solve this problem. This study evaluates five machine learning algorithms, namely K-Nearest Neighbors (K-NN), Naïve Bayes Classifier (NBC), Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM), for lung disease prediction using a dataset of 30,000 data with 11 attributes from Kaggle. The dataset was processed through data preprocessing and divided into training and test data with a ratio of 70%:30% and 80%:20%. The algorithm performance was evaluated using precision, recall, F1-score, and accuracy metrics. The results show that RF, SVM, and DT algorithms have the highest performance, with accuracy reaching 94.72% at 70%:30% ratio. The DT algorithm, which previously showed low performance in heart disease classification, provided competitive results in lung disease prediction. This research focuses on the importance of proper algorithm selection and data organization to improve the effectiveness of disease prediction. The findings contribute to the development of artificial intelligence technology for medical applications, particularly in supporting early diagnosis of lung diseases.
THE EFFECT OF ENTREPRENEURSHIP CHARACTERISTICS, BUSINESS CAPITAL, AND TECHNOLOGICAL SOPHISTICATION ON MSME PERFORMANCE Renaldo, Nicholas; Sudarno, Sudarno; Hutahuruk, Marice Br.; Junaedi, Achmad Tavip; Andi, Andi; Suhardjo, Suhardjo
Journal of Applied Business and Technology Vol. 2 No. 2 (2021): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (488.974 KB) | DOI: 10.35145/jabt.v2i2.74

Abstract

This study aims to analyze the influence of entrepreneurial characteristics, business capital, and technological sophistication on the performance of SMEs. The data collection method used in this study was a questionnaire. The number of respondents as a research sample was 291 MSME owners in Pekanbaru City. The analysis technique used is multiple regression analysis. The findings of this study are that entrepreneurial characteristics have a positive effect on MSME performance, venture capital has a positive effect on MSME performance and technological sophistication has no effect on MSME performance. Advice to MSME owners to consider aspects of technological sophistication in developing their business during the Covid-19 pandemic because using technology, especially in terms of marketing, can reduce direct contact so that human resources owned are protected from the risk of the Corona virus.
Sistem Otomasi Roof Berbasis Arduino Uno Menggunakan LDR Sensor Dan Hujan Sensor Ginting, Taman; Purwadi, Didik; Sudarno, Sudarno
Politeknosains Vol 24 No 1 (2025): Jurnal Politeknosains Volume 24 Nomor 1 - Maret 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

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

Abstract

Sebuah prototipe atap jemuran cerdas berbasis Arduino dilengkapi dengan sensor hujan, sensor cahaya, dan servo motor guna otomatisasi respons terhadap perubahan cuaca. Sistem ini dirancang untuk menutup atap jemuran secara otomatis saat terdeteksi adanya hujan, sehingga dapat melindungi pakaian atau barang- barang yang digantung dari resiko kerusakan akibat terkena air hujan. Di samping itu, sensor cahaya berperan menyesuaikan posisi atap jemuran sesuai dengan tingkat intensitas cahaya di sekitar, sehingga dapat membuka lebar saat kondisi cerah untuk memaksimalkan proses pengeringan pakaian pada saat pencahayaan matahari memadai. Penerapan mikrokontroller Arduino memberikan fleksibilitas dalam hal pemrograman algoritma cerdas pada sistem, sedangkan motor servo bertugas menggerakkan atap jemuran secara presisi sesuai dengan masukan perintah yang dikirimkan oleh Arduino. Hasil pengujian prototipe menunjukkan kemampuannya dalam merespons perubahan kondisi lingkungan dan cuaca secara akurat, di mana sensor hujan akan memicu penutupan atap begitu terdeteksi adanya tetesan air atau hujan, sementara sensor cahaya akan mengatur tingkat bukaan atap untuk mengoptimalkan penjemuran ketika cahaya matahari cukup terik. Dengan solusi cerdas ini, efisiensi dan efektivitas pemanfaatan atap jemuran dapat ditingkatkan serta perlindungan pakaian dari paparan hujan dapat dijaga secara optimal.
Pengembangan Model Inklusi Green Financing Berdasarkan Tingkat Sustainability Literacy dan Dampaknya terhadap Green Capability Puspita, Dewi Ayu; Wardhaningrum , Oktaviani Ari; Wahyuni, Nining Ika; Sudarno, Sudarno; Kartika, Kartika
e-Journal Ekonomi Bisnis dan Akuntansi Vol. 12 No. 1 (2025): e-JEBA Volume 12 Number 1 Year 2025
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/ejeba.v12i1.53689

Abstract

AbstrakPemerintah telah berkomitmen untuk mendukung UMKM yang ramah lingkungan melalui kebijakan green financing. Dengan kebijakan ini, diharapkan dapat meningkatkan green capability para pelaku UMKM. Penelitian ini bertujuan untuk menemukan solusi guna meningkatkan akses UMKM terhadap green financing dengan mempertimbangkan tingkat sustainability literacy. Oleh karena itu, penelitian ini menganalisis dan menguji pengaruh sustainability literacy terhadap green capability UMKM dengan mempertimbangkan tingkat inklusi green financing. Objek penelitian adalah UMKM sektor agribisnis di wilayah Tapal Kuda, menggunakan data primer yang diperoleh dari survei kuesioner terhadap 70 pelaku UMKM. Metode penelitian menggunakan metode kuantitatif. Hasil penelitian menunjukkan bahwa sustainability literacy berpengaruh signifikan terhadap green capability, sementara green financing secara signifikan mengintervening hubungan antara sustainability literacy terhadap green capability. Hasil penelitian ini mengisyaratkan perlunya kolaborasi antara berbagai pihak, termasuk pemerintah, bank, pelaku UMKM, akademisi, dan pemangku kepentingan lainnya untuk terus meningkatkan kerja sama agar program green financing ini dapat menjadi solusi bagi UMKM dalam menangani isu keberlanjutan.Kata Kunci: Green Capability, Green Financing, Sustainability Literacy, UMKM AbstractThe government is committed to supporting environmentally-friendly SMEs through green financing policies. With this policy, it is hoped to enhance the green capabilities of SME players. This research aims to find solutions to improve SMEs' access to green financing while considering the level of sustainability literacy. Therefore, this research analyzes and tests the influence of sustainability literacy on SMEs' green capability by considering the level of green financing inclusion. The research object is SMEs in the agribusiness sector in the Tapal Kuda area, using primary data obtained from a questionnaire survey of 70 SME players. The research method uses a quantitative approach. The research results show that sustainability literacy significantly influences green capability, while green financing significantly intervenes in the relationship between sustainability literacy and green capability. The results of this research imply the need for collaboration among various parties, including the government, banks, SME players, academics, and other stakeholders to continuously improve cooperation so that this green financing program can become a solution for SMEs in addressing sustainability issues.Keywords: Green Capability, Green Financing, SMEs, Sustainability Literacy
Wastewater Removal Pollutants Using Polyethylene terephthalate Media : Moving Bed Biofilm Reactor Muliyadi, Muliyadi; Purwanto, Purwanto; Sumiyati, Sri; Budiyono, Budiyono; Sudarno, Sudarno; Warsito, Budi
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 22, No 2 (2025): July 2025
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v22i2.405-419

Abstract

The increasing wastewater necessitates innovative wastewater treatment methods, such as anaerobic MBBR with PET as media, which enhance microbial degradation and biofilm formation. The aim was to analyze the rate of degradation kinetics in anaerobic MBBR reactors for biological wastewater treatment. This research examined three factors: the BOD, COD, and TSS. Domestic wastewater was used in this study. The reactor measured 40 × 40 × 50 cm and had a thickness of 4 mm. The construction was performed using glass material. The operation was performed for 30 days. Microorganisms grew and reproduced on the surface of the plastic bottle cap media during the anaerobic bioreactor seeding process by adding as many local microorganisms as 1.6/70 liters of wastewater. The study revealed that domestic wastewater used for wastewater treatment has BOD, COD, TSS, Ammonia, and Fat contents that exceed the set threshold value. The BOD/COD ratio was 0.55. After acclimatization, the biofilm was fully developed, effectively removing organic contaminants and producing fungal polysaccharides. In conclusion, the study of substrate concentration and degradation kinetics is crucial for system design and operation, emphasizing the need for substrate optimization to enhance microbial activity.
ANALISIS RASIO KEUANGAN YANG MEMPENGARUHI NILAI BUKU PERUSAHAAN DENGAN MODEL REGRESSION, SUPPORT VECTOR MACHINE DAN ALGORITMA GENETIKA (Studi Kasus Perusahaan Manufaktur dan Infrastruktur Terdaftar BEI 2018-2023) Albert, Albert Setiawan Harijanto; Rivai, Abu Khalid; Sudarno, Sudarno
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 9 No. 1 (2025): Volume IX - Nomor 1 - September 2025
Publisher : Teknik Informatika, Sistem Informasi dan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v9i1.876

Abstract

Penelitian ini bertujuan untuk menganalisis rasio laporan keuangan menggunakan tiga pendekatan regresi: Genetic Algorithm (GA), Support Vector Machine (SVM), dan Regresi Linear, dalam memprediksi nilai Price to Book Value (PBV) berdasarkan indikator keuangan seperti Debt to Equity Ratio (DER), Price Earnings Ratio (PER), dan Return on Assets (ROA). Data yang digunakan adalah laporan tahunan perusahaan berbasis manufaktur dan infrastruktur yang diperoleh dari Bursa Efek Indonesia selama periode 2018-2023, dengan total 350 data. Hasil analisis menunjukkan bahwa model SVM memiliki nilai Mean Squared Error (MSE) dan Root Mean Squared Error (RMSE) terendah, masing-masing sebesar 2.0017 dan 1.4148. Namun, model GA menunjukkan nilai Mean Absolute Error (MAE) dan Mean Absolute Percentage Error (MAPE) yang lebih kecil, yaitu 0.3106 dan 22.68%, dibandingkan SVM yang memiliki MAPE lebih tinggi (50.07%). Model Regresi Linear menunjukkan performa yang jauh lebih buruk, dengan MSE mencapai 45.5992 dan R² negatif sebesar -22.2335, menandakan bahwa model tersebut tidak mampu menangkap pola dalam data. Secara keseluruhan, model GA yang dioptimasi melalui seleksi dan mutasi dengan validasi silang menunjukkan kinerja terbaik dalam hal akurasi dan stabilitas prediksi. Penelitian ini menegaskan efektivitas algoritma evolusioner dalam pemodelan prediktif berbasis data keuangan, serta menyoroti pentingnya pemilihan metode yang tepat untuk analisis rasio laporan keuangan.
PENGARUH LITERASI KEUANGAN DAN LINGKUNGAN SOSIAL DIMODERASI TINGKAT PENDIDIKAN TERHADAP PENGGUNAAN QRIS PADA PELAKU UMKM DI KOTA SURAKARTA Rachmawati, Febriyani Fitri; Sudarno, Sudarno; Sabandi, Muhammad
JURNAL EKONOMI PENDIDIKAN DAN KEWIRAUSAHAAN Vol. 11 No. 1 (2023)
Publisher : UNIVERSITAS NEGERI SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jepk.v11n1.p21-36

Abstract

Penelitian ini untuk mengetahui pengaruh literasi keuangan dan lingkungan sosial terhadap penggunaan QRIS pelaku UMKM di Kota Surakarta serta apakah perbedaan tingkat pendidikan dapat memoderatori literasi keuangan dan lingkungan sosial terhadap penggunaan QRIS atau tidak. Sampel penelitian sebanyak 135 pelaku UMKM Kota Surakarta yang diambil menggunakan teknik non-probability sampling dengan data dikumpulkan melalui angket berisi skala likert 1-5 poin. Uji validitas melalui Confirmatory Factor Analysis (CFA), uji reliabilitas menggunakan Cronbach Alpha (?) dan uji hipotesis melalui analisis regresi hirarki dan Moderated Regression Analysis (MRA) menggunakan software SPSS 25. Hasil penelitian membuktikan bahwa tingkat literasi keuangan dan pengaruh lingkungan sosial berdampak pada penggunaan QRIS pelaku UMKM Kota Surakarta. Penelitian ini juga menunjukkan bahwa perbedaan tingkat pendidikan pelaku UMKM tidak dapat memperkuat atau memperlemah (tidak memoderatori) pengaruh tingkat literasi keuangan dan lingkungan sosial terhadap penggunaan QRIS.
The Application Jigsaw With Aid of Audiovisual Media to Improve Learning Outcomes of Class X3 Students of SMA Muhammadiyah 1 Surakarta Mulyanto, Cicuk; Sudarno, Sudarno; Octoria, Dini
Economic Education and Entrepreneurship Journal Vol 7, No 1 (2024): Economic Education and Entrepreneurship Journal (E3J)
Publisher : FKIP Universitas Lampung

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

Abstract

This research was carried out with the aim of improving the learning outcomes of class X3 Muhammadiyah 1 Surakarta High School through the applications of Jigsaw method with the aid of audiovisual learning media in the economic subjects of class X3 of Muhammadiyah 1 High School Surakarta. This research uses the Classroom Action Research (CAR) carried out at the Muhammadiyah High School 1 Surakarta class X 3 with a total of 22 students. The study uses data collection techniques such as interviews, observations, test, and documentation using data triangulation analysis techniques. The learning outcomes of students before implementing Jigsaw assisted by audiovisual media were 18.18% of students who were able to achieve the specified KKTP with an average value of 67. Student learning outcomes increased significantly after the first cycle of action was carried out to 77.27% of students who had exceeded the predetermined KKTP with an average value of 85,6. The increase in learning outcomes continued to occur in the implementation of cycle II, amounting to 95.45% of students exceeding the KKTP with an average value of 90,2. Based on the results of the research conducted, it can be concluded that the application of the Jigsaw learning method with the help of audiovisual media can improve student learning outcomes.Keywords: Jigsaw, Audiovisual Media, Learning OutcomesDOI: http://dx.doi.org/10.23960/E3J/v7i1.78-82 
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Hoyi Abdullah Abdullah Abu Khalid Rivai Achmad Tavip Junaedi Achmad, Nanang Suffiandi Adelia, Qaula Adi Imam Wahyudi Adipradana, Arrizka Yanuar Agil, Muhammad Thoriq Agung Sugeng Widodo Agus Rusgiyono Agus Setyawan Agus Subagio Agustina, Silva Nasriati Ahmad Mustafa Akhmad, Nanang Suffiadi Al Hakim, Faris Helmi Alan Prahutama Albert, Albert Setiawan Harijanto Amirudin Amirudin Amries Rusli Tanjung Andi Andi Andriani, Farida Angelina, Dian Anggraini, Asterina Anisa Alfiani Rahayu Arami, Hasnia Arami, Hasnia Arif Sudarmanto, Arif Ariffandita Nuri Muttaqin Arifin, Rizal Aripianti, Faridha Ariyanto Wibowo, Ariyanto Armyati, Eky Ocviana Asismarta Asismarta, Asismarta Asriyana, . Aulia, Ananda Putri Azaria, Candra Aziz Nur Bambang Bambang Hermanto Budi Harsanto, Aris Budi Prasetyo Samadikun Budi Warsito Budi Wijaya Budiyono Budiyono Cahyono, Agung Dwi Dadtun, Yusana Sasanti Damayanti, Sindi Darmarastri, Hayu Adi Dewanti, Shendy Dewi Kusuma Wardani Dewi Setya Kusumawardani Dewi, Miranda Chintya Di Asih I Maruddani Di Asih I Maruddani Diah Safitri Dian Kusuma Didik Purwadi Dini Octoria Dirgantari, Dayu Oktavina Disnawati Disnawati, Disnawati Djalal Er Riyanto Djuni Akbar Dua, Iyam L. Dwars Soukotta Dwi Ispriyanti Dwi Wulandari Elen Dwi Pradewi Endina Sulistiarini Erniyawati Mustaqomah, Erniyawati Eva Zulfa Fadelan Fadelan, Fadelan Fanniya Dyah Prameswari Fatan, Mohd. Adzka Ferhat Aziz Ferry Hermawan Findra, Muhammad Nur Fitri Risalawati Fitri, Septi Bunal Ganjar Samudro H Hadiyanto Hafniza Amir Halim, Rossa Fitria Hamdani Abdulgani, Hamdani Hamzah Hamzah Handayani, Agista Hanif, Eva Amalia Hanifa, Elisya Fachriana Hanny Hafiar Hantarum, Hantarum Hari Suprapto Harrison, Edward Harry Patuan Panjaitan Hasbi Yasin Hasuba, Tezza Fauzan Hery Teguh Setiawan Hesti Sari Dewi Hosang, Djefry P Hughes, Amy Hutahuruk, Marice Br I Gusti Ngurah Antaryama Imam Buchori INDRAYANI INDRAYANI Indri Yovita Irsan, La Ode Muhammad Ita Tetriana Agustini Jatmiko Endro Suseno Joko Nugroho, Kurniawan Judisseno, Rimsky K. Kadunci Kadunci Kamri, Syamsul Kande, Fredrik Abia Kartika Kartika Komardi, Dadi Kudri, Muhammad Wan KUNTANG WINANGUN Kurniasari, Frista Kurrohman, Taufiq Lailly, Novi Nur Leny Noviani Liem Ek Bien Liem Ek Bien Lifo, Leni Listifadah Listifadah Listyarini, Sri luhung, Putro adi Lumbantobing, Yuvita Chantri Luntungan, Frans Lusida, Terrence Timothy Evan Mahendra, Asma Marice Br Hutahuruk Mashudi, Sugeng Maulana Fansyuri Maulida, Fita Hanan Mega Lestari Mei Indrawati, Mei Miftah Syarif, Miftah Mintasih Indriayu, Mintasih Miranti Marita Sari Moch. Abdul Mukid Moningka, Mario Mubarak, Fauzi Mubarak, Haykal Alya Muhamad Faliqul Asbah Muhammad Alhan Muhammad Fadhil Muhammad Irsan, La Ode Muhammad Nur Muhammad Sabandi Muhrodin, Muhrodin Muliyadi Muliyadi Mulyanto, Cicuk Munaji, Munaji Mustafid Mustafid Mutohharun Jinan Nanik Lutfiyah Naslina Alimina Nicholas Renaldo Nining Ika Wahyuni Nisa, Mukrimatun Nourma Yulia, Nourma Nugroho, Prastiyo Nuryanto, Edi Nyoto Nyoto, Nyoto Oktaviani Ari Wardhaningrum Pangestu, Robi Etdji Pangow, Tammy T.V. Pariakan, Arman Permatahati, Yustika Intan Polii, Ivonne Pramesti, Ajeng Lakshita Pramestiara Dewiga, Pramestiara Prasetyo, Indra Prastya, Anggit Maulana Pratama, Angga Yoga Prayetno, Muhammad Pringgo Priyanto, Asep Priyono Priyono Priyono Purwanto Purwanto Purwati, Astri Ayu Puspita, Dewi Ayu Putri, Novita Yulia Rachmad Ardhianto Rachmawati, Febriyani Fitri Rahayu, Winarni Rahmaddian Primasari Rahman, Sarli Raihan, Muhammad Ramadan, Bimastyaji Surya Ramadhan, Syahdan Sandhika Ramatulloh, Arya Eka Rangkang, Jeanely Ratih Nurmalasari, Ratih Redemtus Heru Tjahjana Regita, Vivian Riana Ayu Andam Pradewi Ririn Sulpiani Risfandi Riskon Ginting Rivai, Afrah Hapsari Riyanto, Irfan Yopi Riza Fatoni Hidayat Rossi Prabowo Rukun Santoso Rupaka, Anggun Prima Gilang Salman Alfarisy Totalia Samosir, Jessika Aurora Saputra, Bagos Aji Saputra, Restu Jati Saputra, Yose Saputri, Sinar Arya Sardjono, Aryapandu Zikri Sarifah Sarifah Sariffudin, Mochammad Sarwanto Sarwanto Satriyo Adhy Schmidt, Matthias Sebtiyani, Ervin Indrias Selvi Marcellia Sendi Ramdhani Setiani, Eri Setyowibowo, Fery Sevendy, Tandy Sirun, Artian Siswanto, Romi Slamet Wahyudi Slat, Ventje B Smith, Harry Sri Hartini Sri Hutami Sri Sumiyati Suasti Aswan Sudenroy Mentang Sudjito Soeparman Sugito - Sugiyanto, Shabrina Mitsalina Suhardjo Suharyana Suharyana Suhendra, Muhammad Arif Sulmartiwi, L. Sunaryo Sunaryo Supariadi Supariadi Suparti Suparti Suryani, Mareta Dwi suryawan, ryan firdiansyah Susanto Susanto Susilaningsih Susilaningsih, Susilaningsih Suyanto Suyanto Suyono Suyono Syah, Moch. Aziz Zulian Syahriza, Denisa Syanne Pangemanan Syukri Fathudin Achmad Widodo Tadjuda, Muslim Tadjudah, Muslim Takaendengan, Teddy Taman Ginting, Taman Tambunan, Johannes Tarno Tarno Taylor, John Alexander Tejakusuma, Sabrina Prabawati Titik Istirokhatun Tri Retnaningsih Soeprobowati Triastuti Wuryandari Tundjung Wahadi Sutirto Tuti Hartati Udi Harmoko Udik Budi Wibowo Ummayah, Putri Qodar Valencia, Erica Veronica, Kristy Victoria Dwi Murti Wahyuni, Nurul Sri Wahyuningsih, Rintatik Walangi, Walangi Wardhaningrum , Oktaviani Ari Warsana, Warsana Waskita, Arya Adhyaksa Wati, Yenny Wawan Trisnadi Putra, Wawan Trisnadi Wetty Anggun Werti, Wetty Anggun Widha Sunarno Widodo, Amalia Kartika Dewi Winardi, Yoyok Wuragil Septi Wulandari Yahya Nur Ifriza Yaya Finayani Yayuk Dwi Rahayu, Yayuk Dwi Yeni Susanti YOGA AROB WICAKSONO Yuciana Wilandari Yundari, Yundari Yusrizal Yusuf, Farid Zurba, Nabil