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All Journal Jurnal Pendidikan Vokasi Jurnal Kependidikan: Penelitian Inovasi Pembelajaran JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pendidikan Teknologi dan Kejuruan IPTEK The Journal for Technology and Science Journal of Education and Learning (EduLearn) Jurnal Penelitian Pendidikan Matematika dan Sains Ekuitas: Jurnal Pendidikan Ekonomi JFA (Jurnal Fisika dan Aplikasinya) JIEET (Journal of Information Engineering and Educational Technology) Jurnal Pendidikan : Riset dan Konseptual Jurnal Dimensi Pendidikan dan Pembelajaran Educatio The Spirit of Society Journal : International Journal of Society Development and Engagement KACANEGARA Jurnal Pengabdian pada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Pendidikan Matematika (JPM) JISIP: Jurnal Ilmu Sosial dan Pendidikan GERAM (GERAKAN AKTIF MENULIS) International Journal for Educational and Vocational Studies Jurnal Studi Guru dan Pembelajaran Parameter Journal of Engineering, Technology, and Applied Science (JETAS) Indonesian Journal of Engineering and Technology (INAJET) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Jurnal Teknik Informatika (JUTIF) JPTE: Jurnal Pendidikan Teknik Elektro JASEE Journal of Application and Science on Electrical Engineering IJORER : International Journal of Recent Educational Research Jurnal Teknik Elektro (JTE) LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Edu Cendikia: Jurnal Ilmiah Kependidikan Journal of Applied Business, Taxation and Economics Reseach Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS) Journal FORTEI-JEERI Journal of Informatics and Computer Science (JINACS) Edukasiana: Jurnal Inovasi Pendidikan Engineering Science Letter Jurnal Pendidikan Teknik Elektro Jurnal Pendidikan Sultan Agung Kanigara Ekuitas Jurnal Pnedidikan Ekonomi Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Komtika (Komputasi dan Informatika) Nucleus Journal
Lilik Anifah
Universitas Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Perancangan Sistem Deteksi Objek Bola Dan Gawang Pada Robot Sepakbola Menggunakan Metode Darknet YOLO Nugroho, Dwi Novianto; Anifah, Lilik
JIEET (Journal of Information Engineering and Educational Technology) Vol. 7 No. 1 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v7n1.p22-29

Abstract

Di bidang robotika, terdapat salah satu jenis robot yang memiliki kemampuan untuk bermain sepakbola, yaitu robot sepakbola humanoid. Robot ini diharapkan memiliki kemampuan utama dalam mendeteksi objek yang ada di lapangan, terutama objek bola dan gawang. Oleh karena itu, perlu dikembangkan sistem deteksi objek bola dan gawang dengan tingkat keakuratan yang tinggi, agar robot dapat mengidentifikasi objek yang tepat untuk menjalankan tugas-tugas selanjutnya. Penelitian ini menggunakan platform robot ROBOTIS OP3 yang terintegrasi dengan webcam Logitech C920. Sistem pendeteksian yang digunakan adalah Darknet YOLO, yang merupakan salah satu penerapan dari deep-learning. Jaringan YOLO yang digunakan dalam penelitian ini adalah YOLOv3 Tiny, dan tahapan pelatihannya melibatkan framework Darknet. Pada tahap pelatihan jaringan, diperoleh nilai rata-rata loss (avg loss) sebesar 0,2805 dan nilai mean Average Precision (mAP) sebesar 96,3%. Pada tahap pengujian jaringan, dihasilkan frame gambar sistem pendeteksian objek yang terdeteksi dengan diberi label "bola" dan "gawang” serta bounding box. Pada penelitian ini sistem deteksi yang telah dikembangkan menghasilkan nilai performa jaringan dengan nilai accuracy sebesar 0.97, precision sebesar 0.99, recall sebesar 0.96, dan F1-score sebesar 0.97. Nilai-nilai performa jaringan ini diperoleh dari pengujian menggunakan 200 frame gambar yang digunakan sebagai test set dalam tahap pelatihan jaringan.
The influence of learning motivation and student creativity on entrepreneurial interest in teaching factory Susiani, Irna; Soeryanto, Soeryanto; Asto Buditjahjanto, I Gusti Putu; Anifah, Lilik
Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Vol 8, No 1 (2024)
Publisher : Directorate of Research and Community ServiceUniversitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jk.v8i1.71880

Abstract

This research aims to examine the influence of learning motivation and learning creativity on students' interest in entrepreneurship at Kartanegara Wates Vocational School, Kediri Regency in Teaching Factory learning. This type of research is quantitative research with 80 students as research subjects. The data collection technique for this research uses a questionnaire. The data analysis used in this research is multiple linear regression. The research results showed that the partial test (t-test) on learning motivation was .000 < .050 and for creativity, it was .00 < .050. Meanwhile, the results obtained from the F-test show a value of .000 < .050. The determination test results obtained a value of 53.7%. The findings in this research show that learning motivation has a significant effect on interest in entrepreneurship. Additionally, creativity also shows a significant influence on interest in entrepreneurship. Learning motivation and creativity simultaneously have a significant influence on the entrepreneurial interest of Kartanegara Wates Vocational School students.
The Influence of Critical Thinking Skills and Inquiry Skills on the Biosolar Innovation Ability of Class X Students TKR Skills Competency at SMKN 1 Jiwan Lestari, Yoni Dwi; Harimurti, Rina; Warju, Warju; Anifah, Lilik; Buditjahjanto, I Gusti Putu Asto
JURNAL DIMENSI PENDIDIKAN DAN PEMBELAJARAN Vol 13: Special Issue No. 1 (2025)
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/dpp.v13iSI1.11131

Abstract

Critical thinking skills and inquiry skills are necessary for vocational school students to stimulate innovation abilities because vocational school graduates are prepared to immediately enter the world of work or create their jobs. The research goal is to analyze the influence of critical thinking skills and inquiry skills on the biosolar innovation abilities of class Light Vehicle Engineering students. It is a descriptive type of research that applies a quantitative method. It uses an ex-post de facto design. The population in this study was class X TKR  skill competency students at SMK Negeri 1 Jiwan, totaling 129 students. With a sample size of 98 students. This study used a simple random sampling technique. The measuring instrument used is a questionnaire with multiple linear regression analysis as the data analyzing technique. The results show that there is a significant partial and simultaneous influence of the critical thinking skills and inquiry skills variables on the biosolar innovation abilities of the class The suggestion from this research is that schools are expected to be able to adopt policies that can stimulate students' biosolar innovation abilities which are influenced by critical thinking skills and inquiry skills.
Peningkatan Skalabilitas Server Menggunakan HAProxy dengan Algoritma Load Balancing Round-Robin Yuwono, Dany Purno; Agung, Achmad Imam; Buditjahjanto, I Gusti Putu Asto; Anifah, Lilik
Jurnal Komtika (Komputasi dan Informatika) Vol 9 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v9i1.13405

Abstract

Skalabilitas server menjadi faktor penting dalam menjaga kinerja layanan berbasis web seiring meningkatnya jumlah pengguna. Salah satu pendekatan untuk meningkatkan skalabilitas adalah dengan menggunakan load balancing, di mana HAProxy menjadi salah satu pilihan yang banyak dimanfaatkan karena keandalannya. Penelitian ini bertujuan untuk menganalisis peningkatan kinerja server dengan implementasi HAProxy menggunakan algoritma load balancing Round-Robin. Metode penelitian yang diterapkan meliputi proses instalasi dan konfigurasi HAProxy, pengujian performa server dengan Apache JMeter, serta evaluasi distribusi beban kerja. Hasil penelitian ini mengindikasikan bahwa penggunaan HAProxy dengan algoritma Round-Robin efektif dalam menyebarkan beban secara merata dan secara signifikan mempercepat waktu respons server jika dibandingkan dengan sistem yang tidak menerapkan load balancing. Selain itu, kemampuan untuk menambah atau mengurangi jumlah server backend tanpa mempengaruhi kelancaran layanan yang ada menjadi salah satu keunggulan yang sangat menonjol. Oleh karena itu, penerapan HAProxy dengan algoritma Round-Robin direkomendasikan sebagai solusi efektif dalam meningkatkan skalabilitas server, terutama untuk sistem yang menangani lalu lintas tinggi dan membutuhkan distribusi beban yang optimal.
Membangun Karier Adaptif: Peran Keterampilan, Dukungan Teman, dan Efikasi Diri Keputusan Karier Siswa SMKN 1 Bendo Magetan: Building an Adaptive Career: The Role of Skills, Peer Support, and Self-Efficacy in Students' Career Decisions at SMKN 1 Bendo Magetan Razan Ihtifazhuddan; Lilik Anifah; I Gusti Putu Asto Buditjahjanto
Edu Cendikia: Jurnal Ilmiah Kependidikan Vol. 4 No. 03 (2024): Research Articles, December 2024
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/educendikia.v4i03.5102

Abstract

The low interest and ability of SMKN 1 Bendo Magetan students in "calculating" indicates a competency gap that can hinder future career prospects. In addition, the low inability of students to adapt and make the right career decisions after graduation suggests a gap in the career guidance system in schools. Based on these problems, the urgency of this study is to identify several fundamental challenges in student career development. This study aims to determine the effect of Technical Skill, Career Decision Self-Efficacy, and Peer Support as independent variables and Career Adaptability as the dependent variable. This type of research uses quantitative with a correlational approach. The study was conducted in the Construction and Housing Engineering Expertise Concentration of SMKN 1 Bendo Magetan with a population of 214 students. The sample in this study was 214 students using the Convenience Sampling technique. The data collection technique used a psychological scale, namely the Technical Skill scale, Career Decision Self-Efficacy and Peer Support, and the Career Adaptability scale, both in the form of a Likert scale. The findings show that technical skills, peer support, and career decision self-efficacy significantly and have a positive correlation affecting students' career adaptability. All three are competency constructs, not treatments. Each represents a different dimension in the development of individual potential. Technical skills, peer support, and self-confidence in career decision-making are essential determinants of career adaptability for students majoring in construction and housing engineering at SMKN 1 Bendo Magetan. The role of teachers is vital in improving aspects of students, one of which is career adaptability. In this case, teachers must also consider aspects outside student competency that can support student career adaptability. The researcher suggests that further research should examine other factors related to student career adaptability.
A Novel CNN-Based Approach for Classification of Tomato Plant Diseases Miftahus Sholihin; Mohd Farhan Bin Md. Fudzee; Lilik Anifah
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 3 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i3.4464

Abstract

Tomatoes are one of the most widely cultivated and consumed crops globally, but they are highly susceptibleto various diseases that can significantly reduce yield and quality. Early detection of thesediseases is crucial for effective management and prevention. The objective of this study is to developan accurate early detection system for tomato diseases using deep learning to support effective cropmanagement. The research method employed is a modified Convolutional Neural Network trainedon the PlantVillage dataset, which consists of 21,000 images across 10 disease classes. The studyevaluates three training scenarios using different epoch values (25, 50, and 75) to optimize modelperformance. Data preprocessing included image resizing and augmentation, followed by ConvolutionalNeural Network training and validation. The study’s results showed that increasing epochsimproved the model’s accuracy: 98.18% at 25 epochs, 98.53% at 50 epochs, and 99.19% at 75 epochs.Precision, recall, and F1-score also increased, from 90.95% at 25 epochs to 95.80% at 75 epochs, indicatingenhanced model reliability. However, longer training times were required as the epoch countincreased. This research concludes that a modified Convolutional Neural Network can accuratelyclassify tomato diseases, providing a reliable and practical tool for early disease detection. The proposedsystem has the potential to be integrated into mobile applications for real-time use in the field.It contributes to sustainable agriculture by enabling timely disease intervention and improving cropproductivity.
Influence Self-Regulated Learning on Creative Thinking Skills in Modern Hair Bun Styling Material: Systematic Literature Review Afifah, Nabila Tri; Maspiyah, Maspiyah; Pritasari, Octaverina Kecvara; Buditjahjanto, I Gusti Putu Asto; Anifah, Lilik
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 10, No 1 (2026): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Januari)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v10i1.9919

Abstract

This study aims to analyze the contribution of Self-Regulated Learning to students’ creative thinking skills in modern hair bun styling through a Systematic Literature Review approach. The urgency of this research lies in the vocational education demand for learners who are not only technically skilled but also capable of demonstrating creativity in solving aesthetic problems and producing original modern hair bun designs. This research employs a Systematic Literature Review guided by the PRISMA 2020 protocol, including identification, screening, eligibility, and synthesis of national and international indexed articles published between 2019 and 2024 related to Self-Regulated Learning and creative thinking skills. The findings indicate that Self-Regulated Learning has a consistently positive influence on creativity, particularly through metacognitive processes such as planning, strategy monitoring, and reflection. Results also highlight key supporting factors, including scaffolding, project-based learning, and digital learning environments, while barriers include limited instructional support and unsupportive learning conditions. The study concludes that integrating Self-Regulated Learning systematically into vocational aesthetic education is essential to enhance students’ creativity and recommends improving scaffolding practices and implementing project-based tasks as effective strategies.
SISTEM PANIC BUTTON UNTUK KONDISI DARURAT WARGA DESA BERBASIS INTERNET OF THINGS Muhammad Yusman Zubairi; Puput Wanarti Rusimamto; Lilik Anifah; Nur Kholis
JURNAL TEKNIK ELEKTRO Vol. 15 No. 1 (2026): JANUARI 2026
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v15n1.p20-29

Abstract

Keamanan dan keselamatan masyarakat desa sering terancam oleh kondisi darurat seperti bencana alam, kebakaran, tindak kriminal, maupun keadaan medis yang membutuhkan respons cepat. Keterbatasan akses komunikasi menjadi salah satu kendala dalam penyampaian informasi darurat secara efektif. Penelitian ini bertujuan merancang dan membangun sistem Panic Button berbasis Internet of Things (IoT) untuk membantu warga desa dalam melaporkan keadaan darurat dengan cepat dan efisien. Sistem dikembangkan menggunakan mikrokontroler ESP32, sensor suhu DS18B20, DFPlayer Mini sebagai media peringatan suara, serta aplikasi berbasis web untuk pengiriman notifikasi darurat. Metode penelitian yang digunakan adalah eksperimen dengan pendekatan kuantitatif melalui pengujian fungsionalitas perangkat keras dan perangkat lunak, pengukuran waktu respons, keandalan sistem, serta observasi kemudahan penggunaan oleh warga. Hasil pengujian menunjukkan bahwa sistem mampu merespons laporan darurat dalam waktu rata-rata 1–2 detik pada jaringan WiFi desa dan 3–8 detik pada jaringan seluler. Tingkat keberhasilan pengiriman notifikasi hingga 100%. Selain itu, warga dapat menggunakan aplikasi dengan mudah tanpa pelatihan khusus dan memahami notifikasi darurat yang ditampilkan. Dengan demikian, sistem Panic Button berbasis IoT ini terbukti dapat meningkatkan keamanan dan mempercepat komunikasi dalam kondisi darurat di lingkungan desa.
MENGATASI SAMPAH PLASTIK MELALUI PROGRAM MAS MISTIK: STUDI KASUS PENDEKATAN PDIA DI SMKN 1 PENAJAM PASER UTARA Iwan Arkadianto; Yeni Anistyasari; Lilik Anifah; Luthfiyah Nurlaela; Rommy Mochammad Ramdhani; I Gusti Putu Asto Buditjahjanto
Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS) Vol. 9 No. 1 (2026): Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS)
Publisher : Program Studi Teknik Lingkungan, Fakultas Teknik, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/jls.v9i1.4421

Abstract

SMK Negeri 1 Penajam Paser Utara dengan 579 warga sekolah menghadapi volume sampah plastik yang tinggi, baik yang berasal dari kantin maupun dari makanan yang dibawa atau dibeli di luar sekolah. Penelitian ini menganalisis penerapan pendekatan Problem Driven Iterative Adaptation (PDIA) dalam program MAS MISTIK (Makan Sehat Bergizi, Minim Sampah Plastik) untuk mengurangi sampah plastik dan mengubah kebiasaan konsumsi. Penelitian menggunakan desain studi kualitatif dengan teknik pengumpulan data wawancara mendalam, observasi partisipatif dan analisis dokumen. Pendekatan PDIA menyusun suatu siklus diagnosis masalah, pemetaan sumber sampah plastik, pembentukan koalisi, dan uji coba solusi secara iteratif. Tindakan yang dilakukan meliputi kegiatan “hari makan sehat” bulanan, kesepakatan dengan pihak kantin untuk menghentikan penjualan mi instan, penyediaan piring dan gelas guna ulang, serta kampanye penggunaan botol isi ulang dan wadah makan guna ulang. Triangulasi informasi dari petugas kebersihan, pengelola kantin, guru dan siswa menunjukkan adanya penurunan sampah plastik yang dirasakan serta pergeseran praktik dan norma sosial. Penelitian ini menyimpulkan bahwa PDIA menyediakan kerangka kerja yang efektif untuk menempatkan komunitas sekolah sebagai agen utama perubahan sosial dalam upaya pengurangan sampah plastik di sekolah.
Mango Leaf Detection: Comparison of YOLOv12n and YOLOv26n for Mangifera indica Disease Hari Atmojo Setiyo; Lilik Anifah
Nucleus Journal Vol. 5 No. 1 (2026): May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v5i1.5103

Abstract

This study addresses the inaccurate detection of mango (Mangifera indica) leaf diseases, which can reduce plant productivity. A deep-learning-based automatic detection system is proposed to identify five leaf diseases (Mangifera indica): anthracnose, cutting weevil, dieback, powdery mildew, and sooty mold. This study compares two object detection models, namely YOLOv12n and YOLOv26n, with a dataset of 1,970 images. The data is annotated and divided into training, validation, and testing with weights of 70%, 20%, and 10%, respectively. Both YOLO models were trained for 100 epochs and evaluated using accuracy, precision, recall, and F1 score. The results of this study indicate that YOLOv26n performs better during testing, with an average accuracy of 97,06%, a recall of 98,76%, a precision of 98,25%, and an F1 score of 98,50%. In comparison, YOLOv12n achieved 94,52% accuracy, 98,92% recall, 95,47% precision, and 97,16% F1 score. Although YOLOv12n had slightly better training loss, YOLOv26n delivered more consistent performance, particularly in mean average precision (mAP) at higher thresholds. Therefore, YOLOv26n is better at identifying mango leaf diseases and has greater potential for real-time agricultural applications.
Co-Authors A. Nur Afika Achilles Jaka Dewayana Adikara Achmad Akmal Fikri Achmad Imam Agung Achmad Imam Agung Adib Hafizh Pujabaladika Aditama, Maulana Rizki ADITIA KURNIAWAN Afifah, Nabila Tri Agung Prijo Budijono Agus Budi Santosa Agustin T, Rr Hapsari Peni Akhmad Fahrur Rozi Ali Hasbi Ramadani Alpiana, Intan Alyafi, Mochammad Adam Amelia Salsabila Andri Arfianto Ansori, Zainal Mujib ARDHIKA RYZHA NURMAWAN Arif Setiawan Arif Widodo Asto, I Gusti Putu Aye Aye Mon Ayu Dini Ardianti Bambang Suprianto . Buitjahjanto, I Gusti Putu Asto Chatarina Umbul Wahyuni Choiria, Rini DELTA ARYA HERDYANTO Deviana, Ria Dimas Arya Soeadyfa Fridyatama Dita Larasati, Dita Dwikoranto Edy Sulistiyo Edy Sulistiyo Eka Andila Putri.K.K Ekohariadi Ekohariadi Ekohariadi Ekohariadi Endryansyah . . Endryansyah . . Endryansyah Endryansyah Farhana, Farhana Farid Baskoro Farid Baskoro Faris Dawwas Farisi, Isfandiar Naufal Farizan Nurachman Firdaus Prasetyawan Firlani, Tony Fitri, Dyah Pranesti Shafira Fitriyah, Nur Aida Fransisca, Yulia Fudzee, Mohd Farhan Md Goenawan, Christian Ardi Candra Haafizhah, Faldy Naufal Hainur Rasid Achmadi Hapsari Peni Hapsari Peni Agustin Tjhayaningtijas Hari Atmojo Setiyo Harmanto Harmanto Haryanto Haryanto Heru Arizal Hibatullah, Muhammad Hanif Hisyam Muhammad Fuad AL Azka I G P Asto B I Gusti Putu Asto I Gusti Putu Asto B I Gusti Putu Asto B I Gusti Putu Asto B. I Gusti Putu Asto Buditjahjanto I Gusto Putu Asto Buditjahjanto I Ketut Eddy Purnama IHSAN NURKHAKIM Ihtifazhuddan, Razan Intan Alpiana Irfansyah, Juki Ismail, Mohd Norasri Ismet Basuki Ismet Basuki Iwan Arkadianto Izza, Nida Nurul Jahjanto, I Gusti Putu Asto Khrisna Budi Prasetyo Kurnia Dwi Ariyanti Lestari, Ika Rokhasari Lestari, Yeni Kusuma Lestari, Yoni Dwi Lusia Rakhmawati Lutfiyah Hidayati Lutfiyah Nurlaela Luthfiyah Nurlaela M. Rosidi Zamroni MARIA BINTANG Maspiyah Maspiyah Mauridhi Heri Purnomo Mauridhi Hery Purnomo Meini Sondang Sumbawati Mifta Dwi Rachmawati Miftahus Sholihin Miftahus Sholihin Moch Hariadi Mohd Farhan Bin Md. Fudzee Muchlas Samani Muhamad Syariffuddien Zuhrie Muhamad Syariffuddien Zuhrie Muhammad Anas Noval Muhammad Syariffuddien Zuhrie Muhammad Syariffuddien Zuhrie Muhammad Syariffuddien Zuhrie, Muhammad Syariffuddien Muhammad Yusman Zubairi Mulifah, Mulifah Munoto Munoto Munoto Munoto Munoto Munoto Ningrum, Sulis Desiana Nova Ariyanto Nugroho, Dwi Novianto Nugroho, Yuli Sutoto Nur Hasanah Nur Kholis Nur Kholis Nur Kholis Nurdiansyah, Aristyawan Nurhayati Nurhayati Nurhayati Nurhayati Nurlaela, Lutfiyah Nurul Rahma Fikha Sujarwo Nurwijayanti Parama Diptya Widayaka Pradypta, Afrianzah Prasetyawan, Firdaus Prasetyo, Khrisna Budi Prasetyoaji, Mukhamad Rio Eka Pratama, Dimas Surya Prisillia Lugita Sari Pritasari, Octaverina Kecvara Priyono Priyono Puput Wanarti Rusimamto Puput Wanarti Rusimamto Puput Wanarti Rusimamto Puput Winarti Rusimamto PUTRA NURDIANSYAH, ARISTYAWAN Putra Priangga Dewangkara Rachmawati, Mifta Dwi Raden Mohamad Herdian Bhakti Rahayu, Imami Arum Tri Ratna Suhartini Razan Ihtifazhuddan Revi Safitri Rifki Firmansyah Rifqi Firmansyah Rina Harimurti Rizki Rizaldy, Moch. Fahmy Rochman, Miftahur Rommy Mochammad Ramdhani RR. Ella Evrita Hestiandari Rudyana, Anisa Wahyu Saadah, Ayu Ummatus Sari Cahyaningtias Sari Cahyaningtias Sari, Handini Novita Sayyidul Aulia Setiyo, Hari Atmojo Setyawarhana, Burhanuddin Yusuf Setyowati, Lis Setyowati, Wiwit Wahyu Shihab Saifullah, Muhamad Alwi Soeryanto Soeryanto Sollia Mahani SRI PURWANDANI Subekti, Muhammad Yayang Subuh Isnur Haryudo SULISTIYO, EDY Supartini, Titin Susiani, Irna Syarifah Nur Aini Tjahjaningtijas, Raden Roro Hapsari Peni Agustin Tjahjanto, I Gusti Putu Asto Budi Tomi Agfianto Tri Rijanto Tri Rijanto Tri Wrahatnolo Tyas Arumningsih Umaroh, Susi Tri Unit Three Kartini Ushofa, Baroroh Dhiya' Utomo, Bekti Wanarti, Puput Wansyka Ramadhina WARJU Wiwik Handayani Wiwit Wahyu Setyowati WRAHATNOLO, TRI Yeni Anistyasari Yuli Sutoto Nugroho Yuli Sutoto Nugroho Yuli Sutoto Nugroho Yuwono, Dany Purno Zaki, Ibrahim Yusuf Zuhrie, M. Syariffuddien Zuhrie, Muhamad Syariffuddien Zulfannur Zulfannur Zulfannur, Zulfannur