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All Journal JURNAL SAINS PERTANIAN EQUATOR Jurnal Keuangan dan Perbankan Techno LPPM Pendidikan Kewarganegaraan JFMR (Journal of Fisheries and Marine Research) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Journal of Electrical Technology Media Ilmu Kesehatan JURNAL PENDIDIKAN TAMBUSAI Proceedings of the International Conference on Applied Science and Health Journal on Education Jurnal Pendidikan Almuslim JIKA: Jurnal Ilmu Keuangan dan Perbankan Al-Ard: Jurnal Teknik Lingkungan Jurnal Ilmu Kesehatan Bhakti Husada: Health Sciences Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Penelitian Pembelajaran Matematika Sekolah Psychocentrum Review Jurnal Keperawatan JURNAL PENELITIAN PERAWAT PROFESIONAL Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Humanism : Jurnal Pengabdian Masyarakat JURNAL TEKNIK PATRA AKADEMIKA Jurnal Kesehatan Tambusai International Journal of Business, Law, and Education Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Djtechno: Jurnal Teknologi Informasi LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran JURNAL ILMIAH GLOBAL EDUCATION Jurnal Bina Desa Education and Counseling Journal GENIUS JOURNAL (General Nursing Science Journal) Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Dedikasi: Jurnal Pengabdian Kepada Masyarakat Journal of Education, Cultural, and Politics JHeS (Journal of Health Studies) Jurnal Keperawatan Citra Delima Scientific journal of Citra Internasional Institute Jurnal Kompetitif Bisnis Jurnal Pendekar Nusantara J-ISCAN : Journal of Islamic Accounting Research Zona Kebidanan : Program Studi Kebidanan Universitas Batam Seroja Husada: Jurnal Kesehatan Masyarakat Jurnal Pengabdian Kepada Masyarakat Citra Delima INOVTEK Polbeng - Seri Informatika Jurnal Proteksi Agrikultura JIKUM: Jurnal Ilmu Komputer Journal Emerging Technologies in Education
Maryana Maryana, Maryana
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Karakteristik Mutu Ikan Marlin (Makaira nigricans) melalui Analisis Kadar Senyawa Volatil: Quality Characteristics of Blue Marlin (Makaira nigricans) Based on Volatile Compound Analysis Hanan, Sahirah Shafa Alifiyah; Maryana, Maryana; Jaziri, Abdul Aziz
JFMR-Journal of Fisheries and Marine Research Vol. 9 No. 3 (2025): JFMR on November
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2025.009.03.10

Abstract

Ikan marlin (Makaira nigricans) merupakan salah satu komoditas perikanan bernilai ekonomi tinggi yang rentan mengalami penurunan mutu akibat aktivitas enzim dan mikroorganisme. Penurunan kesegaran ini dapat diukur melalui parameter kimia, salah satunya Total Volatile Base Nitrogen (TVB-N) dan Trimetilamin Nitrogen (TMA-N). Penelitian ini bertujuan untuk menentukan kadar TVB-N dan TMA-N pada ikan marlin sebagai indikator kesegaran. Penelitian dilaksanakan di Laboratorium Kimia Pusat Produksi, Inspeksi, dan Sertifikasi Hasil Perikanan (PPISHP) Provinsi DKI Jakarta pada periode 30 Juni–18 Agustus 2025. Analisis dilakukan dengan metode destilasi dan titrasi mengacu pada SNI 2354.8:2009. Data dianalisis secara deskriptif dengan membandingkan hasil uji terhadap standar mutu yang berlaku. Hasil penelitian menunjukkan kadar TVB-N sebesar 13,50 mg/100 g, masih berada di bawah ambang batas maksimum SNI (20–30 mg/100 g). Nilai TMA-N yang diperoleh sebesar 0,0108 mg/100 g, jauh lebih rendah dari batas penerimaan untuk ikan segar menurut SNI 2354.8:2009, yaitu 5 mg N/100 g. Hasil tersebut menunjukkan bahwa sampel ikan marlin masih berada pada kategori segar dan layak dikonsumsi. Dengan demikian, uji TVB-N dan TMA-N dapat digunakan sebagai parameter penting untuk menilai mutu ikan marlin. Hasil penelitian ini menegaskan bahwa pengendalian pascapanen yang baik mampu mempertahankan kualitas ikan hingga tahap distribusi.   Blue marlin (Makaira nigricans) is one of the economically valuable fishery commodities that is prone to quality deterioration due to enzymatic and microbial activity. The decline in freshness can be measured through chemical parameters, particularly Total Volatile Base Nitrogen (TVB-N) and Trimethylamine Nitrogen (TMA-N). This study aimed to determine the levels of TVB-N and TMA-N in blue marlin as indicators of freshness. The research was conducted at the Chemistry Laboratory of the Center for Fishery Production, Inspection, and Certification (PPISHP), DKI Jakarta Province, during the period of June 30–August 18, 2025. Analyses were carried out using distillation and titration methods in accordance with SNI 2354.8:2009. Data were analyzed descriptively by comparing the results to the applicable quality standards. The results showed that the TVB-N level was 13.50 mg/100 g, which is still below the maximum limit set by SNI (20–30 mg/100 g). The obtained TMA-N value of 0.0108 mg/100 g is far below the acceptable limit for fresh fish according to SNI 2354.8:2009, which is 5 mg N/100 g. These findings indicate that the blue marlin samples tested were still in the fresh category and suitable for consumption. Therefore, TVB-N and TMA-N analyses can serve as important parameters for assessing the quality of blue marlin. This study confirms that proper post-harvest handling can effectively maintain fish quality during distribution.
FAKTOR – FAKTOR YANG BERHUBUNGAN DENGAN STRES KERJA PADA PERAWAT DI RUANG RAWAT INAP RUMAH SAKIT BAKTI TIMAH PANGKALPINANG TAHUN 2025 Safitri, Wulan; Maryana, Maryana
Jurnal Kesehatan Tambusai Vol. 7 No. 1 (2026): MARET 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v7i1.54537

Abstract

Stres kerja perawat merupakan kondisi tekanan fisik dan psikologis yang timbul akibat ketidakseimbangan antara tuntutan pekerjaan dan kemampuan perawat. Stres kerja yang tidak terkelola dengan baik dapat berdampak pada penurunan produktivitas kerja perawat serta mutu pelayanan keperawatan di rumah sakit. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan stres kerja pada perawat di ruang rawat inap Rumah Sakit Bakti Timah Pangkalpinang tahun 2025. Penelitian ini menggunakan desain kuantitatif dengan rancangan cross-sectional. Populasi penelitian adalah seluruh perawat di ruang rawat inap Rumah Sakit Bakti Timah Pangkalpinang. Sampel berjumlah 68 responden yang diambil menggunakan teknik Kuota sampling. Data dikumpulkan menggunakan kuesioner Analisis data dilakukan secara univariat dan bivariat menggunakan uji Chi-square. Hasil penelitian menunjukkan sebagian responden mengalami stres kerja sebanyak 37 orang (54,4%). Terdapat hubungan yang signifikan antara beban kerja (p < 0,02), masa kerja (p < 0,05), serta shift kerja (p < 0,38) pada perawat. Perawat dengan beban kerja tinggi, masa kerja lama, dan yang bekerja pada shift malam cenderung mengalami stres kerja. Kesimpulan penelitian menunjukkan bahwa faktor yang berhubungan dengan stres kerja pada perawat di ruang rawat inap Rumah Sakit Bakti Timah Pangkalpinang tahun 2025 meliputi beban kerja, masa kerja, dan shift kerja. Oleh karena itu, rumah sakit diharapkan melakukan evaluasi dan penataan pembagian beban kerja serta pengaturan jadwal shift secara proporsional, serta menyediakan dukungan psikologis dan pelatihan manajemen stres bagi perawat.
Virtual Tour Application for Cultural Heritage in North Aceh Regency using Augmented Reality Technology Melly Yani Melly; Eva Darnila; Maryana
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/3s7wyh46

Abstract

Cultural heritage refers to historical objects that must be preserved through protection, development, and utilisation. In North Aceh Regency, cultural heritage preservation faces challenges such as low interest among younger generations and the lack of interactive learning media. This study aims to design a virtual tour application using Augmented Reality (AR) and Geographic Information System (GIS) technologies as an interactive medium to digitally introduce cultural heritage sites. Data were collected from the Department of Education and Culture of North Aceh and through direct observation and documentation in the field. The application integrates AR features to display 3D cultural objects and GIS to present the geographical locations accurately. The development includes user interface design, motion-based navigation, and historical information panels. Testing results show that all markers successfully displayed 3D objects with an average detection time of 3.58 seconds, a detection distance of 75.71 cm, and a rotation angle of up to 360°. The objects appeared stable, and the historical information was well presented. The main contribution of this study is the implementation of AR technology in the local context of North Aceh, which has rarely been applied. Limitations include the small number of heritage sites and testing limited to a few AR devices. Future research is recommended to expand site coverage, improve device compatibility, and add gamification features to enhance user engagement.
K-Medoids Clustering Method Iin Transaction Data Reports of UIN IB Padang With Bank Nagari Muhammad Jihad Saputra; Bustami; Maryana
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/tq2tkw36

Abstract

Manual management of student financial transaction data remains a major challenge in many higher education institutions, including in the collaboration between Universitas Islam Negeri Imam Bonjol (UIN IB) Padang and Bank Nagari. Until now, no automated system has been developed to cluster student transaction data using the K-Medoids algorithm within higher education institutions in West Sumatra. This study aims to design a transaction clustering system that can identify student transaction patterns more efficiently. The K-Medoids algorithm is applied to transaction data that has been preprocessed through categorical transformation and normalization to address accuracy issues in distance-based analysis. The results show the formation of three main clusters: low (59 data points), medium (185 data points), and high (106 data points). This distribution reflects the variations in student transaction behavior and can be utilized by both the university and the bank to design more targeted service strategies, such as resource allocation and payment policy evaluation. This research provides an initial contribution to the application of K-Medoids-based data mining for optimizing transaction management in regional higher education institutions
ANALISIS SENTIMEN MASYARAKAT TERHADAP PEMERINTAH DI ERA KABINET PRABOWO SUBIANTO BERDASARKAN SOSIAL MEDIA X MENGGUNAKAN NAÏVE BAYES CLASSIFIER Adetia Irvanda; Wahyu Fuadi; Maryana Maryana
Djtechno: Jurnal Teknologi Informasi Vol 7, No 2 (2026): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v7i2.9459

Abstract

Kebijakan awal pemerintahan Kabinet Prabowo Subianto memicu beragam opini masyarakat di media sosial X, namun opini tersebut belum terklasifikasi ke dalam polaritas sentimen sehingga sulit dijadikan bahan evaluasi. Penelitian ini bertujuan mengimplementasikan dan mengevaluasi algoritma Naïve Bayes Classifier (NBC) dalam mengklasifikasikan sentimen masyarakat terhadap pemerintahan Kabinet Prabowo Subianto ke dalam kelas positif, negatif, dan netral. Sebanyak 587 tweet dikumpulkan melalui teknik scraping sejak 20 Oktober 2024, kemudian diproses melalui enam tahap text preprocessing, dilabeli otomatis menggunakan InSet Lexicon, dan dibobotkan dengan TF-IDF yang menghasilkan 317 fitur. Data dibagi 70:30 secara stratified menjadi 410 data latih dan 177 data uji, lalu diklasifikasikan menggunakan Multinomial Naïve Bayes dengan Laplace smoothing α=1,0. Hasil pelabelan menunjukkan dominasi sentimen negatif sebesar 55,7% (327 tweet), diikuti netral 30,7% (180 tweet) dan positif 13,6% (80 tweet). Model memperoleh akurasi 61,58% dengan presisi weighted 60,39%, recall weighted 61,58%, dan F1-score weighted 55,60%. Ketidakseimbangan kelas menyebabkan model bias terhadap kelas negatif, sehingga penyeimbangan data disarankan pada penelitian berikutnya.
Artificial Intelligence in Personalized Learning: Enhancing Student Engagement through Adaptive Learning Systems Arief Hidayat; Maryana Maryana; Rustiyana Rustiyana; Triyugo Winarko
Journal Emerging Technologies in Education Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i4.2508

Abstract

Background. Advancements in artificial intelligence (AI) have transformed educational practices by enabling personalized learning experiences that adapt to individual student needs. Traditional instructional methods often fail to accommodate diverse learning paces, preferences, and competencies, leading to disengagement and suboptimal learning outcomes. Purpose. This study investigates the effectiveness of AI-based adaptive learning systems in promoting personalized learning and increasing student engagement across multiple educational contexts.   Method. A mixed-methods research design was employed, combining quantitative analysis of engagement metrics and academic performance with qualitative exploration through student interviews and teacher observations. Results. Results indicated significant improvements in engagement, motivation, and learning outcomes, with adaptive feedback and personalized content contributing to sustained participation and deeper comprehension. Students reported higher satisfaction and perceived control over their learning processes, while educators noted more efficient monitoring and instructional planning. Conclusion. The study concludes that integrating AI into personalized learning systems can substantially enhance engagement and academic performance.
Implementasi Analisis Data Akademik Menggunakan Teori Himpunan dan Algoritma Clustering Farid Deza Amin Nur Rasyid; Arlin Fajar Saragih; Muslim Gunawan; Syahrandy Fazra; Maryana
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.315

Abstract

Processing academic data in large-scale higher education institutions requires a structural approach to facilitate analysis and decision-making. This study examines the application of Set Theory in discrete mathematics for grouping academic data of new students at Universitas Malikussaleh (UNIMAL) who passed the 2026 National Selection Based on Test (SNBT) and their eligibility status for the Kartu Indonesia Pintar Kuliah (KIP-K). The research method was conducted by representing student data as a universal set and grouping them based on faculty attributes, scientific fields, and KIP-K status. The analysis results show that Set Theory successfully models the academic data structure formally through the concepts of partition, intersection, and set difference. Out of a total of 2,917 students who passed the SNBT, 899 students (30.82%) were declared eligible for KIP-K. The Faculty of Teacher Training and Education (FKIP) recorded the highest ratio of KIP-K recipients (45.32%), while the Faculty of Medicine had the lowest ratio (13.88%). This modeling proves that set theory acts not only as a theoretical concept in discrete mathematics but also as a practical analytical instrument in academic information systems.
Implementasi Konsep Fungsi Dalam Perancangan Basis Data Sederhana Pada Sistem Informasi Akademik Naura Hazirah; Musanna; Putri Nur Assyifa; Yusnidar; Maryana
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.321

Abstract

Academic data management that is not designed with a good database structure often results in data duplication, inconsistency, and difficulties in system maintenance. This study aims to apply the concept of functions, specifically functional dependencies, in designing a simple database for an academic information system that includes data on students, lecturers, courses, study plan cards (KRS), and grades. The research method used is descriptive, with the stages of needs analysis, Entity Relationship Diagram (ERD) design, functional dependency analysis between attributes, normalization to third normal form (3NF), and implementation and testing in MySQL. The results show that the application of the function concept successfully identified six main functional dependencies that form the basis for the formation of five normalized tables: Students, Lecturers, Courses, KRS, and Grades. Query testing on the resulting database showed no data redundancy and all insertion, update, and deletion anomalies were avoided. This study concludes that the function concept is an important foundation in designing an efficient and consistent relational database in small to medium-scale academic information systems.
Analisis Efisiensi Saluran Pemasaran Kerupuk Ikan Belidak di Desa Piasak Kecamatan Selimbau Kabupaten Kapuas Hulu Maryana, Maryana; Dolorosa, Eva; Imelda, Imelda
Jurnal Sains Pertanian Equator Vol. 3 No. 2: Agustus 2014
Publisher : Fakultas Pertanian Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jspe.v3i2.5889

Abstract

ABSTRAK Tujuan penelitian ini 1). Untuk mengetahui saluran pemasaran mana yang paling efisien dan memberikan keuntungan terbesar bagi produsen kerupuk ikan belidak. 2). Faktor-faktor apa saja yang mempengaruhi besarnya marjin pemasaran kerupuk ikan belidak. Lokasi penelitian ditentukan secara sengaja (purposive) di Desa Piasak Kecamatan Selimbau Kabupaten Kapuas Hulu. Hasil penelitian menunjukkan, saluran pemasaran yang paling efisien adalah saluran pemasaran I ( produsen "“pedagang pengecer "“ konsumen akhir ), dimana saluran ini memberikan harga yang paling besar bagi produsen dengan persentase Farmer"™s Share sebesar 85,71% dan marjin pemasaran yang terkecil 14,28%. keuntungan terbesar terdapat pada saluran pemasaran II Rp.27.418,74/Kg/bln. Faktor-faktor yang mempengaruhi besarnya marjin pemasaran kerupuk ikan belidak di Desa Piasak adalah volume penjualan, harga ditingkat produsen dan jumlah lembaga pemasaran yang dilalui. Kata Kunci : Efisiensi Pemasaran, Kerupuk Ikan Belidak, Margin Pemasaran, Farmer"™s Share, Profitability Indeks.
Prediction of Plantation Crop Production Based on Environment Using Linear Regression and Single Exponential Smoothing Methods Marlina Sari; Dahlan Abdullah; Maryana Maryana
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.669

Abstract

Indonesia, as an agrarian country, heavily relies on the plantation sector as a key driver of its national economy. One significant region contributing to this sector is West Aceh Regency, which consists of 12 districts and is renowned for cultivating five main plantation commodities: oil palm, coconut, rubber, coffee, and cocoa. This research aims to develop a plantation crop production prediction system to support efficient resource planning and management in this sector. The system employs Linear Regression and Single Exponential Smoothing (SES) with a smoothing constant (alpha) of 0.2. The system's primary objective is to analyze historical production data at the district level and generate reliable predictions of future production trends. Linear Regression models the relationship between time (independent variable) and production volume (dependent variable), effectively capturing long-term trends. SES complements this by addressing short-term fluctuations, applying a weighted average where recent data carries greater importance. Prediction accuracy is evaluated using the Mean Absolute Percentage Error (MAPE). Findings reveal that Linear Regression consistently achieves high accuracy, with MAPE values below 20% in most districts, particularly for coffee and cocoa. Conversely, SES demonstrates varying results, performing well in some cases, such as coconut production in Arongan Lambalek (MAPE 20%), but poorly in others, such as oil palm in Bubon (MAPE = 91.06%). In comparison, Linear Regression in Bubon yields a more moderate MAPE of 35.16%. The system is integrated into a user-friendly, web-based platform, accessible to stakeholders like farmers, policymakers, and government agencies. By offering actionable insights into production trends, it aids in mitigating risks, optimizing resource allocation, and enhancing plantation management efficiency. This research underscores the importance of predictive analytics in agricultural planning, with potential applications in other agrarian regions.
Co-Authors Abda Abda Abdul Aziz Jaziri, Abdul Aziz Abdul Rizal AZ Adetia Irvanda Adri Wanto Agustin Agustin Aji Pangestu, Febriana Alfahmi, M. Lutfi Alim, Muhammad Taqdirul Amelia, Cevy Amrullah, Nafis Azmi Andi Wapa Anggraini, Rima Berti ani, Muli Aprilianda, Wiwie Arief Hidayat Aritonang, Ardelina Ariyanti Napitupulu, Pariang Arlin Fajar Saragih Aryandi, Aryandi Aulia, Nadya Rahma Aulia, Riva Auvaria, Shinfi Wazna Bekti, Joko Tigo Narimo BOBBY RAHMAN, BOBBY Budi Sulistiyo Nugroho Bustami Bustami Chandra Halim Chania, Veronicha Chaylaurent, Caren Chrisnajayantie, Raden Roro Brilianti Dahlan Abdullah Dahlan, Mukhtar Zaini Deastuti, Francilia Devita, Melindia Dewi, Hesti Puspita Donsu, Jenita Doli Tine Efri, Efri Eko Gani PG Eva Darnila Eva Dolorosa Ezwarsyah Ezwarsyah Fadlisyah Fadlisyah Faizal, Kgs. M. Fajriana, Fajriana Farid Deza Amin Nur Rasyid Fariski, Resta Fasim Hasibuan, Wilda Fatmariza Fatmariza Fauzan . Fauzi, Alfi Fazilah, Nura Fazrul Sandi Purnomo Fitri, Nurwijaya Fitria, Nurwijaya Fredinan Yulianda Fuadi, Wahyu Fuadi, Wahyu Gunawan Gunawan Hanan, Sahirah Shafa Alifiyah Handayani, Tri Widyastuti Hartono, Ali Haryanto, Darban Hasrul Hasrul, Hasrul Hermain, Hermain Hidayatus Sholihah Hikalmi, Hikalmi Ikasari, Linda Ilham Kurniawan, Muhammad Indah Permata Sari Indri, Nia Isfayani, Erna Isnayati, Isnayati Istifadah, Shovi Yatul Karyati, Atik Keumala, Cut Muftia Khasanah, Titik Fajriyati Nur Komariah Komariah Kurniawan, Nurhafid Kusumajaya, Hendra Lasmini Lasmini, Lasmini Lestari Wibowo Lestari, Indri Puji Lestari, Widia Ayuning Lifia, Reti Columba Lis Ayu Widari, Lis Ayu Lucky Herawati LULUK ASMAWATI Lupita, Veronica M, Munawar M. Lutfi Al Fahmi Maisyuri, Maisyuri mardyanti , lelly Marlina Sari Masniah Masniah Maulidin, Maulidin Meilando, Rizky Melly Yani Melly Meriatna Meriatna Metty, Metty MISWAR MISWAR MMSI Irfan ,S. Kom Muhammad Jihad Saputra Muhammad Zakaria Mukhlisuddin Ilyas muli ani Musanna Muslim Gunawan Najmuddin Najmuddin Naura Hazirah Nisfia, Laila Noamperani, Sapta Rahayu Nugroho, Arif Riyanto Budi Nurdin Nurdin Nurlitasari, Anggita Nurvinanda, Rezka Nuryanti, Rahma Oktalio, Oktalio Oktaningsih, khendy Oktarina, Rusmilda Oktavia, Tri Paloma, Ira Prameswari, Yuditia Putra, Septian Aditya Putri Nur Assyifa Putri, Indah Hidayah Putri, Ninda Maulida Rahman*, Bobby Rahmani, Septi Ayu Rahmi, Hanifatul Raihan Putri Ramadhanty, Helsy Riansyah, Riansyah Rianti, Lina Rismaida, Rismaida Rochma, Izura Rosiani, Yessi Rr Diah Nugraheni Setyowati, Rr Diah Nugraheni Rudini Rudini, Rudini Ruslan, Hermain Rustiyana, Rustiyana S. Padmini, Oktavia Salfin Sanjaya, Arya Sari , Indah Permata Sarita Oktorina Sepriadi Sepriadi Shalawati, Shalawati Sipangkar, Silvana Delima Sirli Agustiani Sofyan, Diana Khairani Soleha Soleha Subroto, Popo Sufyan Hakim Sujacka Retno Sumarwoto, S.H.I., M.H. Sumarwoto, S.H.I., M.H. Surya Surya Suryanef Suryanef Susanto, Abiyyu Naufal Suskandini Ratih Dirmawati Suwardi Suwardi Syafa, Luthfiani Syahnda, Aftri Syahrandy Fazra Syahrial Shaddiq T. Fardiansyah Taufik, Nugraha Muhammad Tazrin, Cut Nisrina Trisna Trisna Trisna Trisna, Trisna Triyugo Winarko Ulfi Zahara Ulul Azmi Wahyu Fuadi Wahyu Fuadi Widiani, Lestari Wirayuda, Trisna Wulan Safitri, Wulan Wulandari Wulandari YANTI, HERA Yenni Carolina Yusnidar Yusuf Hanafi Zahara, Ulfi Zahraini Zahraini Zainul, Muhammad Zakaria, Zuraida Zara Yunizar Zularnaini, Zulkarnaini Zuraida Zuraida