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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Hortikultura Indonesia (JHI) Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) Journal of Tropical Soils Siscode Jurnal Teknologi Informasi dan Ilmu Komputer Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Ampere Edu Komputika Journal Kultivasi Turbo : Jurnal Program Studi Teknik Mesin SAINS TANAH - Journal of Soil Science and Agroclimatology Caraka Tani: Journal of Sustainable Agriculture Jurnal Penelitian Kelapa Sawit Antivirus : Jurnal Ilmiah Teknik Informatika bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Budimas : Jurnal Pengabdian Masyarakat Abdi Masya Teknika Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Sanskara Hukum dan HAM Jurnal Bisnis dan Manajemen West Science West Science Interdisciplinary Studies West Science Interdisciplinary Studies Information Technology International Journal (ITIJ) West Science Social and Humanities Studies West Science Agro Jurnal Komplikasi Anestesi IPSIKOM INERSIA Modem : Jurnal Informatika dan Sains Teknologi Journal of Social Sciences and Technology for Community Service Journal of Computer Science Advancements
Budi Nugroho
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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DESIGN AND IMPLEMENTATION OF A PIEZOELECTRIC PEDESTRIAN-POWERED ENERGY HARVESTING SYSTEM FOR SUSTAINABLE URBAN INSTALLATIONS Islam, Muhammad Qamarul; Ghoni, Ruzlaini; Ibrahim, Mohd Tarmizi; Nugroho, Budi
Teknika Vol 10 No 2 (2025): October 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/teknika.v10i2.611

Abstract

This project proposes integrating a pedestrian-powered system into a public installation to create a renewable energy source in urban environments. The system utilizes piezoelectric sensors embedded in the sidewalk to convert mechanical energy from footsteps into electrical energy, which is then used to power lights and display kinetic movement in the art installation. The main goal of this project is to provide a participatory, environmentally friendly, and sustainable solution in the form of an interactive artwork, while reducing dependence on conventional energy sources. Test results show that the greater the applied load, the higher the generated voltage. The lowest voltage recorded was 11.76 mV at a weight of 50 kg, while the highest voltage reached 315.16 mV at a weight of 90 kg, with an average voltage of 168.46 mV for the load range of 50–90 kg. These findings demonstrate that piezoelectric technology has great potential as an energy harvesting system in public areas, as it can provide power for energy-efficient devices while enhancing the aesthetic quality and awareness of sustainable energy in urban spaces.
Palm Oil in the Millennial Era: The Effects of Digital Campaigns and Public Education on Brand Engagement through Awareness Generation Mediation in West Sumatra Judijanto, Loso; Nugroho, Budi
West Science Interdisciplinary Studies Vol. 3 No. 10 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i10.2336

Abstract

This study investigates the impact of digital campaigns and public education on brand engagement through the mediating role of brand awareness in the palm oil industry of West Sumatra, Indonesia. The research was conducted in response to the growing need for sustainable branding and public perception management within an industry often associated with environmental controversy. A quantitative approach was employed using Structural Equation Modeling (SEM) with Partial Least Squares (SmartPLS 3.0). Data were collected from 115 respondents, primarily millennials, using a five-point Likert scale questionnaire. The results indicate that both digital campaigns and public education have significant positive effects on brand awareness and brand engagement. Moreover, brand awareness plays a partial mediating role, amplifying the indirect influence of digital campaigns and educational initiatives on engagement. The findings confirm the applicability of the Stimulus–Organism–Response (S-O-R) model, illustrating that digital and educational stimuli (S) enhance awareness (O), which subsequently drives engagement (R). The study contributes theoretically by integrating digital marketing communication and sustainability education into the brand engagement framework, and practically by offering strategies for improving consumer trust and advocacy through transparent, educational digital content.
Palm Oil in the Millennial Era: The Effects of Digital Campaigns and Public Education on Brand Engagement through Awareness Generation Mediation in West Sumatra Judijanto, Loso; Nugroho, Budi
West Science Interdisciplinary Studies Vol. 3 No. 10 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i10.2336

Abstract

This study investigates the impact of digital campaigns and public education on brand engagement through the mediating role of brand awareness in the palm oil industry of West Sumatra, Indonesia. The research was conducted in response to the growing need for sustainable branding and public perception management within an industry often associated with environmental controversy. A quantitative approach was employed using Structural Equation Modeling (SEM) with Partial Least Squares (SmartPLS 3.0). Data were collected from 115 respondents, primarily millennials, using a five-point Likert scale questionnaire. The results indicate that both digital campaigns and public education have significant positive effects on brand awareness and brand engagement. Moreover, brand awareness plays a partial mediating role, amplifying the indirect influence of digital campaigns and educational initiatives on engagement. The findings confirm the applicability of the Stimulus–Organism–Response (S-O-R) model, illustrating that digital and educational stimuli (S) enhance awareness (O), which subsequently drives engagement (R). The study contributes theoretically by integrating digital marketing communication and sustainability education into the brand engagement framework, and practically by offering strategies for improving consumer trust and advocacy through transparent, educational digital content.
Perbandingan Aplikasi Algoritma Kernel K-Means pada Graf Bipartit dan K-Means pada Matriks Dokumen- Istilah dalam Dataset Penelitian Covid-19 RISTEKBRIN Nugroho, Budi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 2: April 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021824365

Abstract

Merebaknya kasus Covid-19 di Indonesia telah memunculkan berbagai macam topik penelitian yang dilakukan oleh para peneliti di berbagai bidang dan dari bermacam institusi. Berdasarkan data yang dihimpun oleh portal Sinta Ristekbrin, terdapat 351 topik penelitian yang telah diunggah oleh para peneliti. Kajian ini dimaksudkan untuk menganalisis dan memetakan topik penelitian yang  sedang dan/atau  telah dilakukan selama kurun waktu terjadinya pandemi  Covid-19 di tanah air. Analisis dan pemetaan dilakukan dengan menerapkan algoritma kernel k-means untuk klastering dokumen berbasis graf bipartit dan k-means pada matriks dokumen-istilah. Dataset penelitian Covid-19 Ristekbrin dimodelkan sebagai graf bipartit antara daftar istilah dengan dokumennya. Selanjutnya skor kemiripan dihitung dengan metode kernel. Nilai matriks kernel yang mencerminkan skor kemiripan antar dokumen digunakan sebagai masukan bagi algoritma klastering kernel k-means yang memberikan hasil berupa pemetaan topik penelitian. Sebagai pembanding, algoritma k-means diterapkan pada matriks dokumen-istilah untuk klastering topik penelitian Covid-19. Dari kedua metode tersebut, hasil klastering diuji dengan validasi internal menggunakan indeks Dunn. Indeks Dunn digunakan karena dalam dataset tidak tersedia informasi awal mengenai label atau nama dari masing-masing klaster. Hasil penelitian ini menunjukkan bahwa algoritma  kernel k-means memberikan validasi yang sedikit lebih baik dibandingkan dengan k-means. Hasil kajian ini diharapkan dapat memberikan tambahan informasi yang mendukung program pemerintah dalam mempercepat penanganan Covid-19 di Indonesia. AbstractThe outbreak concerning  the Covid-19 case in Indonesia has raised various topics of research carried out by researchers in diverse fields and from many institutions. Based on data compiled by the Sinta Ristekbrin portal, 351 research topics have been uploaded by researchers. This study is aimed to analyze and map research topics that are being and/or have been conducted during the period of the Covid-19 pandemic in Indonesia. Analysis and mapping are accomplished by applying the kernel k-means algorithm for document clustering based on bipartite graphs and k-means on document term matrix. Ristekbrin's Covid-19 research dataset is modeled as a bipartite graph between terms and documents. Furthermore, the similarity score is calculated using the kernel method. The kernel matrix value that represents the similarity score between documents is used as input for the kernel k-means clustering algorithm, which provides the results of mapping research topics. As comparison, we applied original k-means algorithm on the document-term matrix of the dataset. From these two methods, the clustering results were validated using Dunn index as an internal validation. The Dunn index was used because the dataset did not provide initial information regarding the label or name of each clusters..The comparison Dunn index shows that the kernel k-means algorithm outperforms than the k-means algorithm. This study is expected to provide additional information that supports government programs in accelerating the handling of Covid-19 in Indonesia..
Kinerja Metode CNN untuk Klasifikasi Pneumonia dengan Variasi Ukuran Citra Input Nugroho, Budi; Puspaningrum, Eva Yulia
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 3: Juni 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021834515

Abstract

Saat ini banyak dikembangkan proses pendeteksian pneumonia berdasarkan citra paru-paru dari hasil foto rontgen (x-ray), sebagaimana juga dilakukan pada penelitian ini. Metode yang digunakan adalah Convolutional Neural Network (CNN) dengan arsitektur yang berbeda dengan sejumlah penelitian sebelumnya. Selain itu, penelitian ini juga memodifikasi model CNN dimana metode Extreme Learning Machine (ELM) digunakan pada bagian klasifikasi, yang kemudian disebut CNN-ELM. Dataset untuk uji coba menggunakan kumpulan citra paru-paru hasil foto rontgen pada Kaggle yang terdiri atas 1.583 citra normal dan 4.237 citra pneumonia. Citra asal pada dataset kaggle ini bervariasi, tetapi hampir semua diatas ukuran 1000x1000 piksel. Ukuran citra yang besar ini dapat membuat pemrosesan klasifikasi kurang efektif, sehingga mesin CNN biasanya memodifikasi ukuran citra menjadi lebih kecil. Pada penelitian ini, pengujian dilakukan dengan variasi ukuran citra input, untuk mengetahui pengaruhnya terhadap kinerja mesin pengklasifikasi. Hasil uji coba menunjukkan bahwa ukuran citra input berpengaruh besar terhadap kinerja klasifikasi pneumonia, baik klasifikasi yang menggunakan metode CNN maupun CNN-ELM. Pada ukuran citra input 200x200, metode CNN dan CNN-ELM menunjukkan kinerja paling tinggi. Jika kinerja kedua metode itu dibandingkan, maka Metode CNN-ELM menunjukkan kinerja yang lebih baik daripada CNN pada semua skenario uji coba. Pada kondisi kinerja paling tinggi, selisih akurasi antara metode CNN-ELM dan CNN mencapai 8,81% dan selisih F1 Score mencapai 0,0729. Hasil penelitian ini memberikan informasi penting bahwa ukuran citra input memiliki pengaruh besar terhadap kinerja klasifikasi pneumonia, baik klasifikasi menggunakan metode CNN maupun CNN-ELM. Selain itu, pada semua ukuran citra input yang digunakan untuk proses klasifikasi, metode CNN-ELM menunjukkan kinerja yang lebih baik daripada metode CNN. AbstractThis research developed a pneumonia detection machine based on the lungs' images from X-rays (x-rays). The method used is the Convolutional Neural Network (CNN) with a different architecture from some previous research. Also, the CNN model is modified, where the classification process uses the Extreme Learning Machine (ELM), which is then called the CNN-ELM method. The empirical experiments dataset used a collection of lung x-ray images on Kaggle consisting of 1,583 normal images and 4,237 pneumonia images. The original image's size on the Kaggle dataset varies, but almost all of the images are more than 1000x1000 pixels. For classification processing to be more effective, CNN machines usually use reduced-size images. In this research, experiments were carried out with various input image sizes to determine the effect on the classifier's performance. The experimental results show that the input images' size has a significant effect on the classification performance of pneumonia, both the CNN and CNN-ELM classification methods. At the 200x200 input image size, the CNN and CNN-ELM methods showed the highest performance. If the two methods' performance is compared, then the CNN-ELM Method shows better performance than CNN in all test scenarios. The difference in accuracy between the CNN-ELM and CNN methods reaches 8.81% at the highest performance conditions, and the difference in F1-Score reaches 0.0729. This research provides important information that the size of the input image has a major influence on the classification performance of pneumonia, both classification using the CNN and CNN-ELM methods. Also, on all input image sizes used for the classification process, the CNN-ELM method shows better performance than the CNN method.
Pembuatan Pupuk Kalium Silikat Berbahan Dasar Pasir Kuarsa dari Bangka Nugroho, Budi; Edwar, Feabri Kurniawan; Hartono, Arief
Jurnal Ilmu Tanah dan Lingkungan Vol 25 No 1 (2023): Jurnal Ilmu Tanah dan Lingkungan
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitl.25.1.19-24

Abstract

Salah satu upaya pemanfaatan potensi pasir kuarsa yaitu melalui pembuatan pupuk Kalium Silikat (K2SiO3), melalui reaksi SiO2 dalam pasir kuarsa dengan kalium hidroksida (KOH). Penelitian ini bertujuan mendapatkan suhu optimal dalam pembuatan pupuk K2SiO3 melalui pencampuran pasir kuarsa dari Bangka dengan KOH. Lebih jauh penelitian ini bertujuan mengevaluasi kelarutan pupuk K2SiO3 pada tanah serta pengaruhnya terhadap pH tanah, alumunium dapat ditukar (Al-dd), kalium dapat ditukar (K-dd) dan silika (Si) tersedia melalui percobaan inkubasi pada Ultisol Dramaga. Hasil menunjukan bahwa kandungan kalium dalam bentuk kalium oksida (K2O) tertinggi pada perlakuan suhu 1000 oC sebesar 66.9%, sedangkan terendah pada suhu 700 oC sebesar 55.1%. Sebaliknya, kandungan Si dalam bentuk SiO2 pada suhu 1000 oC sangat rendah. Kandungan SiO2 pupuk Kalium Silikat tertinggi pada suhu 800oC sebesar 35.1%. Pupuk K2SiO3 yang paling optimal dari penelitian ini adalah pada suhu 800 oC dengan memiliki kandungan K2O 60.0% dan SiO2 35.1%. Percobaan inkubasi menunjukkan dosis pupuk Kalium Silikat 2.50% adalah dosis yang paling efektif karena selain meningkatkan hara K-dd dan Si tersedia, juga mampu menurunkan nilai Al-dd dan memperbaiki nilai pH tanah menjadi relatif netral.
Bibliometric Analysis of Agropreneurship Judijanto, Loso; Soelistianto, Farida Arinie; Nugroho, Budi
West Science Agro Vol. 3 No. 01 (2025): West Science Agro
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsa.v3i01.1686

Abstract

Agropreneurship, the integration of agriculture and entrepreneurship, has gained significant attention as a means of fostering economic growth, rural development, and sustainable agricultural practices. This study employs a bibliometric analysis to assess the research landscape of agropreneurship, using Scopus as the primary data source and VOSviewer for analytical visualization. The findings reveal key thematic clusters, including innovation, sustainability, policy interventions, and entrepreneurial behaviors, which highlight the multidisciplinary nature of agropreneurship research. The study also identifies emerging trends such as digital agropreneurship, climate-smart agriculture, and financial support mechanisms for smallholder farmers. Despite the growing interest, research fragmentation and the need for greater interdisciplinary collaboration remain challenges. The study concludes that fostering technological integration, strengthening market access, and enhancing policy frameworks are critical to advancing agropreneurship. Future research should focus on addressing these gaps to support sustainable agricultural entrepreneurship and global food security.
Penetapatan Metode Ekstraksi Fosfor dan Kalium untuk Tanaman Cabai pada Tanah Andisol Dermawan, Rahmansyah Dermawan; Anas Dinurrohman Susila; Purwono; Budi Nugroho; Sugiyanta
Jurnal Hortikultura Indonesia (JHI) Vol. 13 No. 2 (2022): Jurnal Hortikultura Indonesia
Publisher : Indonesian Society for Horticulture / Department of Agronomy and Horticulture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jhi.13.2.90-96

Abstract

Penetapan metode ekstraksi P dan K-tanah di Andisol merupakan langkah awal yang penting dalam menyusun rekomendasi dosis pemupukan untuk penanaman cabai. Penelitian dilakukan di rumah plastik Kebun Penelitian PKHT IPB, Tajur Bogor pada posisi 6038’12.9”S 106049’25.2.9”E pada ketinggian 388 mdpl. Sampel tanah yang digunakan berasal dari tanah Andisol, asal Desa Cikandang, Kecamatan Cikajang, Kabupaten Garut pada posisi 7021’46.7”S 107045’13.1”E. Uji tanah dilakukan di Laboratorium Pengujian, Departemen Agronomi dan Hortikultura dan Laboratorium Kimia dan Kesuburan Tanah, Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB. Penelitian disusun berdasarkan rancangan kelompok lengkap teracak dengan 1 faktor yaitu tanah Andisol dan diulang sebanyak 5 ulangan. Parameter yang diamati adalah korelasi antara lima metode ekstraksi P dan K-tanah (Mechlich-1, Bray-1, Morgan-Wolf, Ammonium asetat, dan HCl-25%) dengan bobot kering biomassa relatif (BKR) tanaman cabai. Keeratan hubungan antara kelima metode ekstraksi dengan BKR tanaman cabai ditunjukkan oleh nilai koefisien korelasi (r). Hasil penelitian menunjukkan adanya perbedaan keeratan hubungan metode ekstraksi P dan K-tanah Andisol terhadap bobot kering relatif tanaman cabai. Metode ekstraksi Morgan-Wolf menunjukkan korelasi terbaik dalam mengekstrak P-tanah Andisol (r=0.94) sedangkan pada uji korelasi K-tanah Andisol, metode ekstraksi Ammonium asetat menunjukkan hasil terbaik (r=0.97). Metode ekstraksi Mechlich-1 dapat dijadikan metode ekstraksi alternatif untuk P dan K-tanah Andisol untuk tanaman cabai. Kata kunci: Ammonium asetat, koefisien korelasi, Morgan-Wolf, uji tanah, sayuran
Strategi Peralihan ke Ekonomi Sirkular dalam Pengelolaan Limbah Perkotaan Judijanto, Loso; Nugroho, Budi
Jurnal Bisnis dan Manajemen West Science Vol 4 No 01 (2025): Jurnal Bisnis dan Manajemen West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jbmws.v4i01.2038

Abstract

Transisi menuju Ekonomi Melingkar (Circular Economy/CE) dalam pengelolaan sampah perkotaan merupakan strategi penting untuk pembangunan perkotaan yang berkelanjutan. Tinjauan literatur sistematis (SLR) ini menganalisis 55 dokumen yang bersumber dari database Scopus, mengeksplorasi berbagai strategi, tantangan, dan peluang dalam adopsi CE dalam pengelolaan sampah perkotaan. Kajian ini mengungkapkan bahwa strategi utama termasuk pencegahan limbah, pemulihan sumber daya, dan integrasi model bisnis sirkular. Namun, tantangan yang signifikan seperti hambatan peraturan, kendala keuangan, keterbatasan teknologi, dan resistensi terhadap perubahan perilaku menghambat implementasi CE secara luas. Terlepas dari hambatan-hambatan ini, peluang dalam integrasi kebijakan, inovasi teknologi, kolaborasi pemangku kepentingan, dan kesadaran publik menawarkan jalur untuk memajukan transisi CE. Temuan ini menunjukkan bahwa pendekatan multi-pemangku kepentingan yang terkoordinasi, bersama dengan investasi dalam teknologi digital dan kerangka kerja kebijakan yang kuat, sangat penting untuk mempercepat adopsi CE dalam sistem pengelolaan sampah perkotaan.
The Effect of Educational Podcasts on Increasing Understanding of Concepts Among Students Nugroho, Budi; Cale, Wolnough; Jie, Lie
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1320

Abstract

The rapid evolution of digital media has introduced various educational tools, among which educational podcasts have gained popularity. Podcasts offer an innovative and flexible method for students to engage with content outside traditional classroom settings. Despite their potential, there is limited empirical research on the effectiveness of educational podcasts in enhancing students’ understanding of concepts. This study aims to evaluate the impact of educational podcasts on students’ comprehension of academic concepts. Specifically, it investigates whether regular podcast exposure improves students’ conceptual understanding compared to traditional instructional methods. A quasi-experimental design involving 120 students from various educational levels was employed. Participants were divided into two groups: the experimental group, which used educational podcasts as supplementary material, and the control group, which continued with conventional teaching methods. Pre-tests and post-tests were administered to assess conceptual understanding before and after the intervention. Data analysis was conducted using quantitative methods, including t-tests and ANOVA. The results indicated a significant improvement in the experimental group’s conceptual understanding compared to the control group. The average score increase for the experimental group was 20% higher than that of the control group, suggesting that educational podcasts positively affect learning outcomes. Educational podcasts can effectively enhance students’ understanding of academic concepts. They provide an engaging and accessible way for students to reinforce learning outside classroom hours. The study highlights the potential of integrating podcasts into educational practices to support and improve student learning.
Co-Authors -, Rahmat AA Sudharmawan, AA Achmad Azhari Sidik Adi Laksono, Surya Afif Faishal Ageng Setiani Rafika Agung Karuniawan Agung Mustika Rizki Agung Supriyanto, Agung Ahmad, Raudah Akbar, Fawwaz Ali Akhmad Ridconi Alliah, Rahmadina Alwi, Salma Anandyawati, . Anas Dinurrohman Susila Anugerah, Rico Putra Arafah, Salsabilla Putri Ardiyanto, Adhy Arif Agus Yulianto Arini, Rani Eka Armijantoro, Gilang Rahmadhan Atang Sutandi Awandi, Nadhif Mahardika Baba Barus Basuki Rahmat Masdi Siduppa Cale, Wolnough Cicilia Puji Rahayu Darda Effendi Debi Unsilatur Utami Dedi Nursyamsi Dermawan, Rahmansyah Dermawan Desi Nadalia Dian Koswara Edwar, Feabri Kurniawan Eko Noviandi Ginting, Eko Noviandi Erlina Rahmayuni, Erlina Ernawati Eso Solihin Eva Yulia Puspaningrum Fachlevi, Muhammad Reza Fajar Setyawan, Handi Faridah Fernando Sitorus, Alberth Ghoni, Ruzlaini Hadi, Surjo Hari Agung Hayatu, Aiun Herning Indriastuti Heru Bagus Pulunggono I Gede Susrama Mas Diyasa Ibayasid Ibrahim, Mohd Tarmizi Indriyati, Lilik Tri Islam, Muhammad Qamarul J. Kuleh Jamaldi, Agus Jepriani, Sujiati Jie, Lie Joko Suryono Judijanto, Loso Juniardi, Salim Kristiawan, Y. Yulianto Kukuh Murtilaksono Kurniawan, Abdi Lestari, Tri Rahayu Kuwat Margono Margono Maulana, Haris Miftahul Nuril Silviyah Muhammad Muharrom Al Haromainy Mustika Rizki, Agung Nadia Nuraniya Kamaluddin Noor, Muhammad Yussaq Noviala Dwijayanti, Ayunda Noviana Prima Nurwijayanti Oki Dwi Endras Setyo Oscar, Schersclight Prihatin, Kukuh purbaningtyas, daru Purwono Purwono Purwono, Purwono RAHAYU WIDYASTUTI Rahmat Rahmat Rahmawati, Heni Rahayu Rahmawati, Rahmawati Rahutomo, Suroso Ramadhan, Nur Muhammad Rengga, Fedrian Ahmadthur Reza Hanjaya Rija Sudirja Rivai, Fathan Aldi Roedy Kristiyono, Roedy RR. Ella Evrita Hestiandari Santoso, Dwi Andreas Santoso, Sri Fuji Septiani, Nia Siswo Wardoyo Siti Nurzakiah Soelistianto, Farida Arinie Sri Ayu Winarti Sri Djuniwati Sri Indrawanti, Annisaa Sugiarto, Anton Sugimin . Sugiyanta Sujiati Jepriani Sukma, Azizah Marwa Sumarsih, Enok SUNARNO Suria Darma Tarigan Suroso , Priyo Suroso, Priyo Syaiful Anwar Syarifah Hudayah Teguh Firmansyah Tistro, Rafian Tumingan Untung Sudadi Vita Via, Yisti Wardana, Amir Wibowo, Haryo Bagus Wiyono Wiyono Yasmuna , M. Rajiv Yisti Vita Via Yusuf, Sri Malahayati