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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Publika Budaya TEKNOLOGI INFORMASI REKAYASA Al-Jabar : Jurnal Pendidikan Matematika Jurnal Mirai Management JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) SENTIA 2016 JURNAL RISET AKUNTANSI JAMBI FINANSIA : Jurnal Akuntansi dan Perbankan Syariah Industri Inovatif : Jurnal Teknik Industri Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Pendidikan Sejarah Indonesia CERMIN: Jurnal Penelitian Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Journal of Computer Science and Engineering (JCSE) GEMA : Jurnal Gentiaras Manajemen dan Akuntansi Journal of Computer Networks, Architecture and High Performance Computing Economics and Digital Business Review Yumary: Jurnal Pengabdian kepada Masyarakat Nusantara Hasana Journal Jurnal Bisnis dan Manajemen (JBM) Law Development Journal Brilliance: Research of Artificial Intelligence Jurnal Ekonomi dan Bisnis GROWTH (JEBG) Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Informatika Teknologi dan Sains (Jinteks) JUSIFOR : Jurnal Sistem Informasi dan Informatika Insand Comtech : Information Science and Computer Technology Journal Digital Bisnis: Jurnal Publikasi Ilmu Manajemen Dan E-commerce International Journal of Asian Business and Management (IJABM) Jurnal Nusantara Mengabdi Enrichment: Journal of Multidisciplinary Research and Development Risalatuna: Journal of Pesantren Studies Moneter : Jurnal Ekonomi dan Keuangan InJEBA : International Journal of Economics, Business and Accounting Sirajuddin : Jurnal Penelitian dan Kajian Pendidikan Islam International Journal of Economics, Commerce, and Management Green Inflation: International Journal of Management And Strategic Business Leadership Epaper Bisnis: International Journal Entrepreneurship and Management Indonesian Journal of Humanities and Social Sciences Harmony Management: International Journal of Management Science and Business TA’AWUN: Jurnal Pengabdian Journal Tafkirul Iqtishodiyyah Sirajuddin: Jurnal Penelitian dan Kajian Pendidikan Islam Journal of Computer Science Advancements Journal of Moeslim Research Technik Cognitionis Civitatis et Politicae Journal of Multidisciplinary Sustainability Asean Journal of Midwifery History and Philosophy
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DIGITALISASI JURNAL KEGIATAN MENGAJAR GURU MELALUI APLIKASI WEB SEBAGAI UPAYA PENINGKATAN MUTU PEMBELAJARAN DENGAN FOKUS PADA PEMANTAUAN AKTIVITAS BELAJAR SISWA DI SMK PGRI SUMBER PUCUNG Sasmito, Agung Panji; Rudhistiar, Deddy; Faisol, Ahmad; Ibrahim Ashari, Mochammad; Agustini, Ni Putu
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 5 No. 2 (2025): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2025
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v5i2.4736

Abstract

Di SMK PGRI Sumber Pucung, proses pencatatan kegiatan mengajar guru masih dilakukan secara manual, yang menyebabkan berbagai kendala seperti ketidakefisienan, keterlambatan akses informasi, dan rendahnya transparansi pembelajaran. Untuk mengatasi permasalahan tersebut, dikembangkanlah sebuah aplikasi log book berbasis web yang bertujuan mendigitalisasi jurnal mengajar guru sekaligus memberikan akses informasi pembelajaran kepada siswa. Metode awal dilakukan terhadap mitra adalah analisis kebutuhan, perancangan sistem berbasis web, pembuatan fitur-fitur utama seperti input log book, filter data berdasarkan bulan, tahun, dan kelas, serta fitur ekspor laporan dalam format PDF dan Excel. Pengujian sistem dilakukan melalui survei kepada pengguna (guru dan siswa) untuk menilai kemudahan penggunaan dan kebermanfaatan aplikasi. Hasil implementasi menunjukkan bahwa sistem berhasil meningkatkan efisiensi pencatatan kegiatan mengajar, mempercepat pembuatan laporan, serta meningkatkan transparansi dan keterlibatan siswa dalam proses pembelajaran. Sebanyak 80% responden menyatakan bahwa aplikasi ini baik dan mendukung kebutuhan administrasi sekolah. Dengan demikian, aplikasi ini dinilai efektif dalam menjawab permasalahan yang dihadapi dan dapat berkontribusi disekolah sebagai upaya peningkatan kualitas pembelajaran.
Sistem Rekomendasi Judul Skripsi Menggunakan Cosine Similarity Pada JATI ITN Malang Nabila, Marita Putri; Irawan, Joseph Dedy; Faisol, Ahmad
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i2.8340

Abstract

Pertumbuhan publikasi ilmiah yang meningkat di lingkungan kampus mendorong mahasiswa untuk menghasilkan skripsi yang orisinal dan relevan. Namun, meningkatnya jumlah publikasi sering membuat mahasiswa kesulitan menentukan judul skripsi karena pencarian referensi masih sederhana. Penelitian ini bertujuan untuk membangun sistem rekomendasi judul skripsi dengan algoritma Cosine similarity untuk membantu mahasiswa memperoleh referensi dalam menentukan judul skripsi serta mencegah duplikasi topik penelitian. Sistem ini menggunakan dataset publikasi JATI (Jurnal Mahasiswa Teknik Informatika) ITN Malang, melalui tahapan preprocessing teks, pembobotan TF-IDF, serta perhitungan cosine similarity dalam mengukur tingkat kemiripan judul publikasi di JATI ITN Malang. Evaluasi dilakukan dengan metode Confusion Matrix untuk menilai performa sistem dalam memberikan rekomendasi yang relevan. Hasil pengujian menunjukkan nilai akurasi sebesar 90%, precision 100%, recall 83,33%, dan F1-score 90,91%. Berdasarkan hasil yang diperoleh, sistem terbukti mampu merekomendasikan judul skripsi yang sesuai, sehingga dapat membantu mahasiswa dalam proses penentuan judul sebagai acuan penyusunan skripsi.
ANALISIS SENTIMEN KEPUTUSAN CHILDFREE GENERASI Z DI MEDIA SOSIAL DENGAN METODE SVM Masangin, Conly; Faisol, Ahmad; Rudhistiar, Deddy
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6941

Abstract

Fenomena childfree semakin menjadi topik pembicaraan yang ramai di berbagai media sosial, terutama di kalangan Generasi Z yang aktif menyampaikan pendapatnya melalui platform X dan TikTok. Perbedaan perspektif mengenai isu ini menghasilkan respons yang beragam, dan analisis sentimen dapat digunakan untuk memahami arah opini publik terhadap topik ini. Penelitian ini bertujuan mengklasifikasikan sentimen positif dan negatif terhadap keputusan childfree di kalangan Generasi Z menggunakan metode Support Vector Machine (SVM). Data yang digunakan dikumpulkan melalui teknik crawling, kemudian melalui proses preprocessing teks dan pembobotan TF-IDF sebelum dilakukan pelatihan model. Hasil pengujian menunjukkan akurasi model SVM mencapai 77,08%, dengan kinerja klasifikasi yang lebih baik pada sentimen positif dibandingkan negatif. Temuan ini menunjukkan dominasi opini positif terhadap childfree, meskipun masih ada sebagian kelompok yang menunjukkan resistensi. Kesimpulan penelitian menegaskan bahwa metode SVM mampu mengklasifikasikan sentimen dengan cukup baik, namun perlu pengembangan lebih lanjut untuk meningkatkan keseimbangan dalam prediksi sentimen positif dan negatif
Comparative Study of Lightweight Deep Learning Architectures for Potato Plant Disease Detection Faisol, Ahmad; Rudhistiar, Deddy; Puspasari, Betty Dewi
PYTHAGORAS Jurnal Matematika dan Pendidikan Matematika Vol. 20 No. 2 (2025)
Publisher : Department of Mathematics Education, Faculty of Mathematics and Natural Sciences, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pythagoras.v20i2.90854

Abstract

Potato leaf diseases pose a significant threat to crop productivity and global food security, necessitating accurate and reliable diagnostic systems for early detection. Although deep learning based image classification has shown promising results in plant disease recognition, many existing studies rely on simple train test splits, insufficient handling of class imbalance, and limited statistical analysis. This study presents a comprehensive evaluation of multiple pretrained convolutional neural network architectures for multi class potato leaf condition classification, including disease categories and a healthy class. DenseNet121, EfficientNetV2 S, InceptionV3, MobileNetV3 Small, ResNet50, and Xception were evaluated using a stratified K fold cross validation framework. Class imbalance was addressed through class weighted loss functions, and model performance was assessed using accuracy, macro averaged F1 score, and weighted F1 score reported as mean values with 95% confidence intervals. The experimental results indicate that ResNet50 achieved the best overall performance with a mean accuracy of 99.07% ± 0.38% and a macro F1 score of 98.24% ± 0.80%, demonstrating strong and consistent classification across all classes. Lightweight architectures such as MobileNetV3 Small also delivered competitive results with an accuracy of 97.77% ± 0.59%, highlighting their suitability for deployment in resource constrained agricultural environments. These findings emphasize the importance of statistically robust evaluation and imbalance aware training strategies for developing reliable deep learning based systems in precision agriculture.
PENGARUH PELAPORAN ENVIRONMENTAL, SOCIAL, AND GOVERNANCE (ESG) TERHADAP TINGKAT UNDERPRICING PADA PERUSAHAAN IPO DI BURSA EFEK INDONESIA PERIODE 2021-2024 Hafiz Wahyu Syahputra; Ahmad Faisol
Nusantara Hasana Journal Vol. 5 No. 9 (2026): Nusantara Hasana Journal, February 2026
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v5i9.1907

Abstract

This study aims to examine the effect of Environmental, Social, and Governance (ESG) reporting on the level of underpricing among firms conducting Initial Public Offerings (IPOs) on the Indonesia Stock Exchange during the 2021-2024 period. This research employs a quantitative research design. The data used in this study are cross-sectional data obtained from 102 Indonesian companies that published Annual Reports and Sustainability Reports prior to their IPOs over the 2021–2024 period. The analytical method applied is Ordinary Least Squares (OLS) regression with Huber White robust standard errors, using EViews version 13 as the statistical software. The results indicate that ESG reporting, as reflected in Sustainability Reports disclosed prior to IPOs, has a significant negative effect on the level of underpricing. In addition, the findings reveal a significant difference in underpricing between companies that disclose ESG information and those that do not disclose ESG information prior to IPOs.
Pemberdayaan UMKM Desa Purworejo melalui Edukasi QRIS untuk Inklusi Keuangan Digital Kufepaksi, Mahatma; Dalimunthe, Nindytia Puspitasari; Hasnawati, Sri; Putri, Lidya Ayuni; Faisol, Ahmad; Wulan, Mutiasari Nur
Yumary: Jurnal Pengabdian kepada Masyarakat Vol 6 No 3 (2026): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v6i3.5690

Abstract

Purpose: This activity aims to enhance the digital financial literacy of MSMEs, provide practical skills in the use of QRIS, and offer guidance in its implementation for daily transactions. Moreover, the program seeks to cultivate behavioral changes among local entrepreneurs by encouraging transparency, accountability, and technological adaptation in their business practices. Research Methodology: This activity was conducted on August 28, 2025, and was attended by 30 participants consisting of MSME owners and representatives from the Village-Owned Enterprise (BUMDes). The method used included a sharing session of QRIS and a demonstration of its practical use. Results: Participants demonstrated high levels of engagement and enthusiasm, particularly during the QRIS usage simulation. An increase in participants’ knowledge of QRIS was evident from the improvement in their pre-test (55) and post-test scores (83). Conclusions: The implementation of community service activities focused on training and mentoring in the use of QRIS for MSMEs in Purworejo Village has had a positive impact on increasing the community's digital financial literacy. Limitations: Constraints related to limited smartphone proficiency and the substantial distance to formal financial institutions resulted in this program being confined primarily to socialization efforts. It is anticipated that subsequent community engagement initiatives will be able to provide more comprehensive support, particularly in facilitating MSMEs through the formal QRIS registration and merchant onboarding process. Contributions: By equipping participants with both knowledge and hands-on experience, this initiative contributes to improve MSMEs’ knowledge of QRIS usage and encourage some business owners to begin adopting QRIS in their transactional practices.
PENGARUH FINANCIAL LITERACY, FINANCIAL TECHNOLOGY, DAN HERDING BEHAVIOR TERHADAP KEPUTUSAN INVESTASI DENGAN RISK PERCEPTION SEBAGAI VARIABEL MODERASI PADA MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS LAMPUNG Indah Permata Sari; Ahmad Faisol; Fajrin Satria Dwi Kesumah; Mahatma Kufepaksi
Nusantara Hasana Journal Vol. 5 No. 10 (2026): Nusantara Hasana Journal, March 2026
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v5i10.1978

Abstract

This study aims to empirically examine the effect of financial literacy, financial technology, and herding behavior on investment decisions, with risk perception as a moderating variable on students of the Faculty of Economics and Business, University of Lampung. The phenomenon of increased participation of young investors in the Indonesian capital market, including in Lampung Province, is not balanced with adequate financial literacy and vulnerability to irrational investment behavior. This condition underlies the need for further exploration of the determinants of investment decisions among students. This study uses a quantitative approach with a survey method. Data collection was conducted by distributing questionnaires to 46 students of the Finance Management Study Program from the 2021-2023 batch, selected using purposive sampling. Data analysis used Moderated Regression Analysis with the help of SPSS version 25 software. The results of this study indicate that, partially, financial literacy, financial technology, and herding behavior do not significantly affect student investment decisions. Risk perception is also not proven to moderate the influence of these three independent variables on investment decisions. However, simultaneously, all variables in the model, including financial literacy, financial technology, herding behavior, risk perception, and interactions between variables, significantly affect investment decisions. The Adjusted R² value of 46.9% indicates that the model is able to explain 46.9% of the variation in student investment decisions, while the remaining 53.1% is explained by factors other than those included in this research model. The results of this study show a gap between knowledge and action among students and confirm that investment decisions are a complex phenomenon influenced by the simultaneous interaction of various factors. This study provides a theoretical contribution to the development of Behavioral Finance Theory and practical implications for universities, regulators, and students in designing financial education programs that are more applicable and responsive to the dynamics of digital investment.
The Transformation of the TNI Navy Hospital to a Public Service Agency in the Context of Validating the TNI Navy Health Organization: Literature Review Setiadi, Tiya; MR Hutagalung, Indriani; Faisol, Ahmad
Journal of Midwifery History and Philosophy Vol. 2 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmhp.v2i1.3748

Abstract

Background. Public sector reforms in Indonesia are driving government hospitals toward the Public Service Agency (BLU) model to enhance flexibility and service quality. As a key provider for military personnel and the national system, the Indonesian Navy Hospital (RSAL) is part of this significant management shift. Purpose. This study aims to analyze the transformation process of RSAL into a BLU institution and explore its implications for the validation of the Navy’s health organization. Method. The research utilizes a Systematic Literature Review (SLR) following the PRISMA approach, analyzing academic publications, government regulations, and hospital management data. Results. The BLU model improves financial management and operational efficiency. However, challenges remain in governance and human resources, as the rigid military structure often complicates the adoption of the flexible systems required by the BLU model. Conclusion. Successful transformation requires a comprehensive strategy focused on human resource development, policy alignment, and improved organizational governance to bridge the gap between military and BLU systems.
Kodaeral v Surabaya to Achieve Food Security in Support of the Indonesian Navy’s Duties Sulistyo Hadi, Eko; Kurniawan, Hendrik; Andika, Ado; Faisol, Ahmad
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i2.3694

Abstract

Background. Food security is a critical issue in Indonesia, where the Navy possesses logistical infrastructure suitable for distribution but faces significant legal and institutional barriers. The Kodaeral v Surabaya case exemplifies legal ambiguities that limit the Navy’s involvement in non-traditional security sectors. Purpose. This study aims to analyze how existing legal frameworks can be restructured to formalize and integrate the Indonesian Navy’s role into the national food security strategy, especially during emergencies. Method. A qualitative approach was employed, combining the legal analysis of court rulings and policy documents with interviews with defense and food security experts. Results. The findings indicate that the absence of a formal legal mandate limits the Navy’s operational capacity in food security operations, despite its established logistical capabilities. Conclusion. Legal reforms are necessary to integrate the Navy into national resilience strategies, enabling a comprehensive approach that enhances their contribution to national welfare.
COST OPTIMIZATION OF JETTY RETROFIT USING VALUE ENGINEERING AND LIFE CYCLE COST ANALYSIS Muhan Iswidyantara, Ato; Jatmiko, Bagus; Marlina, Rina; Faisol, Ahmad
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.3750

Abstract

The increasing demand for sustainable infrastructure has led to a focus on cost optimization in retrofit projects, particularly in maritime infrastructure such as jetties. Sustainable development aims to balance economic growth, environmental protection, and social welfare, highlighting the need for efficient resource utilization. Jetty retrofit projects, crucial for port operations, often face high construction and maintenance costs. This study aims to evaluate the effectiveness of Value Engineering (VE) and Life Cycle Cost Analysis (LCCA) in optimizing the costs of jetty retrofit projects while ensuring long-term sustainability. A mixed-method research design was employed, combining quantitative data from questionnaires and statistical analysis with qualitative insights from field observations and interviews. The study found that integrating VE significantly reduced operational costs, particularly through the substitution of conventional energy systems with renewable energy sources such as solar panels. The application of LCCA demonstrated that long-term savings from energy efficiency could offset higher initial investments. The findings show that the use of VE and LCCA together can achieve cost savings of up to 5.21% and enhance financial viability, with a Benefit-Cost Ratio (BCR) of 2.20, Net Present Value (NPV) of IDR 40.40 billion, and an Internal Rate of Return (IRR) of 46.93%. These results underline the financial and environmental feasibility of green retrofit projects. This research contributes to sustainable infrastructure practices by highlighting cost-effective strategies for jetty retrofitting.
Co-Authors -, Afidatusholikha Abdul Wahid Abdullah Samy Assyakiri Abu Zakaria, Maqila Sulaiman Adafi Imtiyaz Abiyyi Adi Iswara, Dwi Agung Panji Sasmito Ahmad Barizi Ahmad Fahrezi Zahro, Rizal Ahmad Luthfi Ahmad Ridwan Al Biruni, Muhammad Ali Hasymi, Muhammad Ali Mahmudi Ali Nugroho, Mohammad Alif Fajar Fadhillah, Dimas Alifsyah, M Putra Amalia Ratna Sari Amarta Sholehuddin, Mohamma Dandy Amirul Mukminin Andika, Ado Anis Mashdurohatun Anjelina Tambunan, Silva Arda Gusema Susilowati Ariwibisono, Franciscus Xaverius Ariwibisono, FX Ariwibisono, FX. Arjunastya Miftaharif, Rayhan Armindo Putra, Yosep Ashari, Muhammad Ibrahin Auliasari, Karin Ayuni, Fitri Baharuddin Baharuddin Betty Dewi Puspasari Boro, Cornelia Luba Tara Budhi Dharmawan, Fredy Candra Aulia, Novia Chamariyah Chamariyah Chen Tia Dalimunthe, Nindytia Puspitasari Deddy Rudhistiar Deni Firmansyah Destama Karni Saputra, Davantio Dwi Lukas Saputro, Ardana Dwi Rifka Setyawan, Alvin Dzaka Aditya, Naufal Eksanti Saragih, Dewi Ernie Hendrawaty F.X. Ariwibisono Fadhilah Anas Shaabiriin Fajrin Satria Dwi Kesumah Febi Rahmadianto Febriana Santi Wahyuni Firman Jaya Fitriani Fitriani Fitriani Sahe, Anastasia Furqon, Moch Nurul Gilang Ramadhan Green Bhuana Yapen, Betty Hafiz Wahyu Syahputra Hani Zulfia Zahro Hendrik Kurniawan Hidayah Wiweko Himawan Nur Arifin Hirarki Ardi Pratama IG Krisnadi Imam Izzat Muttaqin Indah Permata Sari Izzatun Nur Zahra, Auliyaa Jatmiko, Bagus Joseph Dedy Irawan Kadek Riski Dwi Putra, I Karina Auliasari Kevin Merico Setiawan Khoirul Muwahidin, Habib Laili Muslihah Lidya , Lidya Ayuni Putri Lita, Eriska Mei Luthfi Andhikaputra, Muhammad M. Ibrahim Ashari Ma'rif, Ikhsan Mahatma Kufepaksi Mahatma Kufepaksi Masangin, Conly Mebiyantara, Febrian Mira Orisa Mirza Mashudi, Muhammad Mohammad Padil MR Hutagalung, Indriani Muhan Iswidyantara, Ato Mukmin Akbar, Yun Muslimin Muslimin Nabila, Marita Putri Ni Putu Agustini Nickola Mauregar, Gilbert Nurendro Ilhamsyah, Ramadhan Nurlaily Vendyansyah Orisa‬, Mira Orun, Patris Ferdinan Pearson Ibnu Sina Arief, Muhammad Pramudita, Victor Prasetya, Yongki Yudha Prayoga, Moch. Irfan Purnomo Priyadi, Wahyu Putri, Lidya Ayuni Putu Agustini , Ni Qulub, Hizbul Ra'uf, Abdur Rahmadian Basuki, Demes Rani Yuliandri Rantaka, M. Pandu Razaki, Rahmat Shofan Renaldi Primaswara Prasetya Rezky Ramadhan, Bayu Rieke Diah Delarosa Sarmin Rina Marlina Rizki, Fakhrizal Rosi, Jakfar Rr Erlina Rr. Erlina Safitra, Wahyu Sakinah, Tazkiyah Sentot Achmadi Setiadi, Tiya Setyaningsih, Nevi Setyawan Dwi Ramadhan Fajri, Aldi Setyo Aji, Bayu Sidik Noertjahjono Sisilia Mutiara Putri Suwandi, Emmily Siti Utami Dewi Ningrum Sokabla, Rudi Sovian Salim Ibrahim, Muhammad Sri Hasnawati Subijanto Subijanto Sulistyo Hadi, Eko Sumanda Syafis, Kamadie Sumowo, Seno Sunarlan Sunarlan Suningsih, Sri Surya Putra, Johanes Suryani, Tutut Suryo Adi Wibowo Sutanto Hidayat Tresna Utama, Abi Tuasikal, Nyongpati Rahmat Vendyansah, Nurlaily Vernanda, Arninda Agnes Wahyu Nurkoco, Agung Wanda Hamidah Wendri, Hirarki Wijayanto, Haryo Bimo Wulan, Mutiasari Nur Yohanes Gunawan Wibowo Yosep Agus Pranoto Yunianto, Muhammad Fauzan Yunkanabilla, Syalsia Fatiha Zainul M, Helmi