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All Journal Jurnal Ilmu Pertanian Indonesia Indonesian Journal of Geography Rotasi Agrikultura Jurnal Gaussian Journal of Tropical Soils Berkala Ilmiah Pertanian JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) AGRIVITA, Journal of Agricultural Science Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Prima: Jurnal Pendidikan Matematika Jurnal Pengabdian Magister Pendidikan IPA Jurnal Kreativitas PKM ComTech: Computer, Mathematics and Engineering Applications Jurnal Teknologi Pertanian Andalas METIK JURNAL Jurnal Review Pendidikan dan Pengajaran (JRPP) Variance : Journal of Statistics and Its Applications Jurnal Varian Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal ABDINUS : Jurnal Pengabdian Nusantara Grouper: Jurnal Ilmiah Perikanan Jurnal Abdi Insani Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Science and Technology Proceedings JAMBURA JOURNAL OF PROBABILITY AND STATISTICS International Journal on Food, Agriculture and Natural Resources (IJFANRES) Journal La Lifesci Jurnal Pengabdian Perikanan Indonesia Jurnal Agrimanex: Agribusiness, Rural Management, and Development Extension Multica Science and Technology Idea Pengabdian Masyarakat Warisan: Journal of History and Cultural Heritage Journal of Mathematics: Theory and Applications Jurnal Pendidikan Ilmu Pengetahuan Alam (JP-IPA) Media Pertanian Journal of Applied Agricultural Science and Technology Jurnal Keperawatan Karya Bhakti Maternity and Neonatal : Jurnal Kebidanan VARIANSI: Journal of Statistics and Its Application on Teaching and Research Islam & Contemporary Issues Islamic Education Jurnal Statistika dan Komputasi (STATKOM) Innovative: Journal Of Social Science Research Basis : Jurnal Ilmiah Matematika Jurnal of Community Health Development (JCHD) Eksponensial Journal of International Multidisciplinary Research Jurnal Pengabdian Nasional (JPN) Indonesia Public Service And Governance Journal Holistik Analisis Nexus Jurnal Intelek Insan Cendikia Jurnal Pendidikan IPA Indonesia Journal of Citizen Research and Development AR-RUMMAN: Journal of Education and Learning Evaluation Jurnal Ilmiah Kesehatan IJASDS: Indonesian Journal of Applied Statistics and Data Science Jurnal Penginderaan Jauh Indonesia Jurnal Cakrawala Keperawatan Jurnal Ilmiah Pengabdian dan Pemberdayaan Masyarakat Jurnal Riset Sosial Humaniora dan Pendidikan
Ika Purnamasari
Faculty Of Agriculture, University Of Jember
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Tinjauan Pustaka: Pendekatan Penginderaan Jauh dalam Analisis Dampak Perubahan Iklim terhadap Produktivitas Kopi Purnamasari, Ika
Jurnal Penginderaan Jauh Indonesia Vol 5 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jpji.v5i1.8319

Abstract

Perubahan iklim global memberikan tantangan yang signifikan terhadap sektor pertanian kopi yang sangat bergantung pada kondisi iklim dan ketersediaan lahan. Penginderaan jauh dan Sistem Informasi Geografis (SIG) menjadi alat krusial dalam memadukan dinamika vegetasi, kesesuaian lahan, serta produktivitas kopi secara spasial dan temporal. Tinjauan literatur ini mensintesis temuan dari publikasi internasional terkini terkait penggunaan teknologi penginderaan jauh, indeks vegetasi, dan metode mesin pembelajaran untuk menganalisis dampak perubahan iklim terhadap produktivitas kopi. Metode bibliometrik dengan VOSviewer digunakan untuk menganalisis pola penelitian dan perkembangan bidang ini. Hasil pengamatan menunjukkan bahwa integrasi data multisensor, pengindeksan vegetasi (seperti NDVI, EVI, SAVI), serta teknologi drone mendukung peningkatan akurasi pemantauan dan prediksi hasil kopi. Namun, terdapat kesenjangan terkait data resolusi spasial dan temporal, model prediksi yang terpadu, dan jarangnya studi yang menghubungkan kondisi iklim, penggunaan lahan, dan produktivitas kopi secara komprehensif. Implikasi kajian ini penting bagi pengembangan teknologi adaptasi pertanian kopi yang berkelanjutan dan berbasis bukti ilmiah. Tinjauan ini memberikan referensi bagi peneliti dan pembuat kebijakan dalam merancang strategi mitigasi dan adaptasi perubahan iklim pada sektor kopi.
Pengenalan Buah Dan Sayur Pada Anak Usia Dini Di TK IT Buah Hati Kita Syafina Pusparani; Yusuf Rachmandhika; Ika Purnamasari; Suci Ristiyana; Irwanto Sucipto; Wildan Muhlison; Ahmad Ilham Tanzil; Sri Redjeki Utami; Much. Misbah Muhtadi
Jurnal Pengabdian Magister Pendidikan IPA Vol 9 No 1 (2026): Januari - Maret 2026
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v9i1.14436

Abstract

Kebutuhan akan keseimbangan gizi melalui asupan makanan bagi anak usia dini sangat penting karena pada usia tersebut anak-anak sedang aktif dalam masa pertumbuhan. Kekurangan gizi pada masa pertumbuhan dapat menyebabkan beberapa masalah kesehatan pada usia dewasa, seperti penyakit tidak menular diantaranya kanker, kardiovaskuler, dan diabetus melitus. Upaya meningkatkan minat anak dalam mengkonsumsi makanan sehat dan seimbang bergizi perlu dilakukan pada anak sejak usia dini. Metode sosialisasi yang dilakukan dengan mengenalkan bermacam bentuk buah dan sayur serta penjelasan terkait manfaat nutrisi olahannya untuk dikonsumsi. Kegiatan sosialisasi dilakukan pada saat pertemuan guyub rukun antar wali murid TK IT Buah Hati Kita. Hasil sosialisasi menunjukkan peningkatan pengetahuan jenis buah dan sayur sebesar 102,4% dan peningkatan pengetahuan manfaat nutrisi sebesar 107,9%.
Analysis of Human Origins and Development in Modern Science as a Scientific Explanation for Strengthening Al-Qur'an Scientific Literacy Haryanto , Sri; Jumini, Sri; Faraheen Abdul Rahman, Nur; Purnamasari, Ika; Ali Mustofa Kamal, Muhamad
Jurnal Pendidikan IPA Indonesia Vol. 15 No. 1 (2026): March 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpii.v15i1.30038

Abstract

This study explores the complex relationship between the Islamic perspective on human creation, as detailed in the Quran, and modern scientific understanding, particularly in embryology, genetics, and developmental biology. This research used a hermeneutic-phenomenological method, which juxtaposes the Quranic narrative of human creation, including the creation of Adam from clay and the subsequent development of humans from “nutfah” (sperm drops) through various embryonic stages, with contemporary scientific discoveries. Data analysis was carried out using QDA Miner software. The results of this research provide a comprehensive understanding and view of human creation while validating the contribution of modern science to understanding human origins and development. These findings show remarkable symmetry between the Quranic descriptions and modern scientific knowledge, highlighting stages such as “nutfah,” “alaqah” (blood clots), “mudghah” (chewed substance), bone development, and the covering of bones with flesh. This study not only underlines the suitability of religious narratives with scientific insights but also enriches the dialogue between science and religion to increase the scientific literacy of the Quran, and the values ​​of science education, such as integrative, critical, empirical, spiritual, ethical, and interdisciplinary, and has a major impact on the development of science.
HUBUNGAN POLA TIDUR DENGAN TEKANAN DARAH PADA SISWA SMA N 2 BOYOLALI Emy Kurniawati; Ika Purnamasari
Jurnal Cakrawala Keperawatan Jurnal Cakrawala Keperawatan Vol. 01 No. 01 Januari 2024
Publisher : STIKES Estu Utomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35872/jck.v1i01.657

Abstract

Background: The sleeping habit is a human physiological system to rest the body for a current time to find and improve body systems. Blood pressure is the pressure that comes from the flow of blood in the blood vessels that occurs when blood pressure is throughout the body. Adolescence is a period of transition from childhood to adulthood. Adolescents with poor sleep patterns can have abnormal sleep patterns, the heart muscle will be tired then there may be thickening of the heart muscle. Objective: This study was conducted to determine the relationship between sleep patterns and blood pressure in students of SMA N 2 Boyolali. Methods: This study uses a quantitative type design with a correlation analytic method with a Cross-Sectional design. The sampling technique used is probability sampling with a stratified random sampling technique, namely random samples with 75 respondents, the data collection by questionnaire, and blood pressure measurement. The analysis used the chi-square test. Result: Based on the chi-square test, the p-value 0,000 < ? 0,05 means that H0 is rejected and Ha is accepted. That is, there is a relationship between sleep patterns and blood pressure in SMA N 2 Boyolali students. Conclusion: There is a relationship between sleep patterns and blood pressure in SMA N 2 Boyolali student.
Comparing SOM, DBSCAN, and K-Affinity Propagation in Labor Economic Patterns Nurmayanti, Wiwit Pura; Yuniarti, Desi; Siringoringo, Meiliyani; Purnamasari, Ika; Putri, Desi Febriani; Hasanah, Siti Hadijah
Jurnal Varian Vol. 9 No. 1 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v9i1.5933

Abstract

The objective of this research is to identify the most effective clustering method for grouping Indonesian provinces by labor–economic indicators to support more precise, data-driven policy formulation. Regional disparities in Indonesia’s economic growth, driven by unequal labor characteristics, remain a significant obstacle to achieving inclusive development. An analytical approach capable of grouping provinces by labor and economic indicators is therefore essential. This study applies a comparative clustering analysis using three unsupervised algorithms: Self-Organizing Maps (SOM), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), and K-Affinity Propagation (K-AP). The dataset consists of five key indicators, namely economic growth, total population, labor force, employment rate, and average wage level obtained from Statistics Indonesia (BPS) for the year 2024. The clustering performance is evaluated using internal validation criteria based on the ratio of within-cluster variation (Sw) to between-cluster variation (Sb), where a smaller ratio indicates more compact, well-separated clusters. The results show that each method produces different clustering structures. SOM and DBSCAN generate three clusters with varying provincial distributions, whereas K-AP produces five clusters with more balanced, representative groupings. The evaluation results indicate ratios of 3.1906 for SOM, 0.2000 for DBSCAN, and 0.1779 for K-AP, indicating that K-AP provides the most optimal clustering performance. These findings confirm that K-Affinity Propagation is the most effective and stable method for classifying Indonesian provinces by labor and economic characteristics. The outcomes of this study provide empirical insights and analytical references for labor-driven economic policy formulation and data-driven regional development planning in Indonesia.
Growth and Yield of Vertical Hydroponic Lettuce under Liquid Organic Fertilizer and Shade Intensity Treatments Ika Purnamasari; Tri Ratnasari; Berlian Cindy Febrian; Annisa Lailatus Sufiah; Bintang Kurniawan; Ummi Sholikhah; Tri Wahyu Saputra; Wildan Muhlison
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.689-701

Abstract

Lettuce (Lactuca sativa L.) production needs to be increased to fulfill increasing demand. Application of liquid organic fertilizer (LOF) in the hydroponic nutrient solution and adding shade to reduce solar radiation intensity are expected to improve lettuce yield. The purpose of this study was to investigate the effect of providing shade and adding LOF as a nutrient to optimize the results of hydroponic lettuce cultivation in Situbondo Regency. This study used a factorial Randomized Block Design (RBD) with UV plastic shading as a factor at different levels, namely 6% and 14%. The second factor was the nutrient composition used, namely 100% AB mix, 25% LOF + 75% AB mix, and 50% LOF + 50% AB mix. The results showed that the interaction of the two factors showed a significant difference in the chlorophyll content of plant leaves. The application of each factor was able to influence plant height, number of leaves, fresh weight, leaf area, leaf color, and crispness level, but did not affect the canopy area of lettuce plants. The use of 14% UV plastic and the addition of 25 LOF, separately resulted the highest yield of lettuce.
Kinerja Convolutional Neural Network untuk Klasifikasi Level Kadar Air Tanah Berdasarkan Gambar Permukaan Tanah Hasbi Mubarak Suud; Subhan Arif Budiman; Ebban Bagus Kuntadi; Dwi Erwin Kusbianto; Ika Purnamasari
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.571-579

Abstract

Computer vision offers a promising method for soil moisture assessment especially for real-time field monitoring where sensor-based measurements are limited. This study evaluates the performance of a traditional Convolutional Neural Network (CNN) and ResNet-50 architecture for classifying soil moisture levels directly from in-situ surface images. The research involved 200 field-captured images and corresponding moisture data from a rainfed agricultural area. The models were trained with datasets grouped into two, three, and four moisture categories to test performance under varying complexity. The results showed poor model performance, characterized by high instability and severe overfitting across all experiments. Model accuracy for the traditional CNN significantly decreased from 0.513 to 0.256 as the number of classification categories increased and from 0.487 to 0.205 for ResNet-50. High RMSE values from 0.433 to 0.507 further confirmed substantial prediction errors. This finding highlights the limitation of RGB-based in-situ imagery for soil moisture classification, where environmental variability dominates the visual signal. It also suggests that soil moisture-related features are not sufficiently distinguishable under uncontrolled field conditions. The study concludes that the high variability of direct field images due to factors like inconsistent lighting, illumination, and the presence of non-soil objects is a primary obstacle to accurate classification. Future studies should implement advanced pre-processing techniques such as segmentation to reduce illumination noise.
Prioritas Pengembangan Jaringan Irigasi dengan Multi-Attribute Decision Making (MADM) pada UPT Curah Malang di Bedadung Kabupaten Jember Ristiyana, Suci; Hidayat, Naufal Akbar Alfatih; Wijayanto, Yagus; Saputra, Tri Wahyu; Purnamasari, Ika; Prasojo, Sri Irawan Laras
Agrikultura Vol 37, No 1 (2026): April, 2026
Publisher : Fakultas Pertanian Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/agrikultura.v37i1.70031

Abstract

Air merupakan sumber daya vital dalam mendukung kegiatan pertanian, terutama di tengah perubahan iklim dan meningkatnya variabilitas cuaca. Ketersediaan air yang memadai dan berkelanjutan sangat dipengaruhi oleh kinerja sistem irigasi. Tujuan dari penelitian ini adalah melakukan evaluasi melalui pendekatan yang sistematis dan berbasis data untuk menentukan prioritas perbaikan saluran irigasi secara efektif. Penelitian ini dilaksanakan di UPT Curah Malang, Daerah Irigasi Bedadung, Kabupaten Jember, pada bulan Juni hingga Agustus 2025. Penelitian menggunakan pendekatan Multi-Attribute Decision Making (MADM) untuk menentukan prioritas rehabilitasi saluran irigasi. Metode MADM yang diterapkan meliputi Simple Additive Weighting (SAW), Weighted Product (WP), dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Penilaian dilakukan berdasarkan beberapa kriteria, yaitu tingkat kerusakan saluran primer dan tersier, luas wilayah layanan, ketersediaan air, serta dampak terhadap hasil panen. Hasil analisis menunjukkan bahwa ketiga metode menghasilkan peringkat yang relatif konsisten dalam menentukan prioritas perbaikan saluran irigasi. Daerah irigasi Sukorejo secara konsisten menempati peringkat pertama pada seluruh metode, diikuti oleh Gumelar pada peringkat kedua. Adapun daerah irigasi Keting berada pada peringkat terakhir pada semua metode, yang menunjukkan tingkat prioritas penanganan yang lebih rendah. Perbedaan hanya ditemukan pada urutan daerah irigasi Paleran dan Gambirono antara metode TOPSIS dan metode lainnya, namun tidak memengaruhi penentuan prioritas utama secara keseluruhan. Konsistensi hasil tersebut menunjukkan bahwa pendekatan MADM dapat digunakan sebagai dasar pengambilan keputusan dalam penyusunan rencana rehabilitasi infrastruktur irigasi yang lebih efektif, efisien, dan tepat sasaran.
Co-Authors . Usmadi Abda Abda Abdillah, Moc. Reza Wahyu Abdul Haris Adhitya Wardhono Adi Pramono, Mahasyin Adinda Dwi Saputri Agnesia Margareta Purba Agung Nugroho Puspito Agung Sih Kurnianto Agustianto, Rezky Ahmad Ilham Tanzil Alfian Hidayat Ali Mustofa Kamal, Muhamad Alima, Isna Alpida Sari ALVIANA, FIFI Alya Zahra Lirinza Amelia Tri Arsita Amelia, Pidia Anam, M Khairul Anam, M. Khairul Andjani, Nazwa Anggi Putri Simamora Anggreini, Rizqi Aprilia Putri Anisa Ell Raharyani Anisah, Retno Lusmiati Anna Apriana Hidayanti Annisa Lailatus Sufiah Antonio, Ach. Farhad Septian Aprilianti, Rina Ari Setyawati Ariessela, Syeli Arisya Rajagukguk Arthayasa, Raden Mochammad Yudishtira Ageng Arthur Frans Cesar Regar Arthur Frans Cesar Regar Aruan, Friska Fransiska Arum, Ayu Puspita Arumsari, Melisa Arwan Arwan Aryana, Ida Bagus Putu Aryati, Ayu Ashari Siregar Asrul, Annisa Aprilia Assyifa'u Qolbiatu Atthoyibah Astuti, Banar Astuti, Wahyu Tri Atira, Nurul Aurela, Rosalina Diva Awy Silaban Ayyu Rizkia Nasution Azimah, Siti Syariah A’yun, Qonita Qurrota Bahriah, Ayu Belia Mutiara Aprili Br Depari Berlian Cindy Febrian Bintang Kurniawan Brena Risky Brian, Ida Bagus Daniswara Budiman, Subhan Arif Burhanudin, Ahmad Candra Dewi Rahayu Candra Dewi Rahayu, Candra Dewi Charisma, Ilmiyatul Fitri Cindy Febrian, Berlian Cindy Simanullang Ciplis Gema Qori'ah Clarissa Myra Ananta Daffa, Muhamamd Zulfiqar Dalimunthe, Mutiara Nazla Damanik, Selvia Andriani Putri Damayanti, Dwi Kartika Delima br Pakpahan Denny Nurdiansyah Desi Mertina Br Sembiring Desty, Yola Dewi Pratiwi Dhalimunte, Sadina Yanti Dhea Syah Nazwa Nasution Dhita Dwi Yanti Dian Pratama Dinda Valicia Sipayung Dona Wahyuning Laily Dwi Adinda Dwi Erwin Kusbianto Dyah Ayu Savitri Ebban Bagus Kuntadi Elangga Sony Widiharsono Else Emilia Rumekso Emy Kurniawati Endah Sih Prihatini Erlyne Nadhilah Widyaningrum Erna Hayati, Erna Ersya Kamelia Rosana Fadilah, Ayu Fadillah, Alfiana Nurul Faisol Mas’ud Faisol Masud Faisol Mas’ud Fajar Mubarok, Fajar Fanata, Wahyu Indra Duwi Fandi Saputra Nduru Faraheen Abdul Rahman, Nur Fatchur Rozci Fatiha, Fifi Fatmi’aturro’isah, Nurul Fauziah, Fithriyatul Feronica, Elisa Fidia Deny Tisna Amijaya Firmawati, Julvia Nurlaeli Fitri Azizah Fuquh Rahmat Shaleh Garaika Gea, Natalman Godman Lesmana Pakpahan Gracia Tri Putri Br Ginting Gunanti Mahasri Gunsyang, Grassella Gusti, Angger Aisyah Hadiahning Habibi, Muhammad Nizar Habsari, Humairo Dyah Puji Hanna Mawarni Manullang Harifin Hasanah, Siti Hadijah Hasbi Mubarak Suud Hasibuan, Hendrison Adipura Hidayanty, Nurul Ilma Hidayat, Naufal Akbar Alfatih Hotmaida Berutu Husna, Kholishotul I Wayan Suastra Ibnu Firmansyah Ida Syamsu Roidah Imasdiani, Imasdiani Irwanto Sucipto Ivan Fadillah Jessica Amelia Butar Butar Joyanti Sirait Juan Carlos Ginting Juan Vito Juanda Alfario Turnip Juliartha, Made Angga Juliarto, Handy Kurniawan Juni Elfi Br Purba Kanzana, Gebina Karundeng, Franklin Peter Anton Katri Nafisa Kharisma Adi Bagaskara Khotimah, Triani Husnul Kosasih, Raditya Arya Kurniawan, Bintang Kusrahman, Nanda Yopan Kustianto, Muhammad Aldian Dwi Lailatus Sufiaah, Annisa Leona, Agis Lia Oktavia Ika Putri Lilis Cahaya Septiana Lioni Tantri Sigiro Lubis, Rifka Ariani Lubis, salsabila Lukitaningsih Lukitaningsih M. Rizky Fauzan Tampubolon Maharani br Purba Mahmuda , Siti Mangalik, Gerald Manita, Yuni Arroh Manurung, Nadya Khaterina Mardiana Mardiana Marpaung, Adrian Marturianus Laia Mas'ud, Faisol Maulana, Andrian Meiriati Simanjuntak Meliala, Susan Barbara Patricia Sembiring Mellfani Rhamadinda Nendra Tigara Memi Nor Hayati Messakh, Gerald Claudio Moch Saad, Moch Saad Moch Saad, S.Pi.,M.Si Moch. Reza Wahyu Abdilah Mohammad Reyfi Syahnaz Anugrah Mohammad Ubaidillah Mohd. Apryanta Sukasa Much. Misbah Muhtadi Muhajir, Shafa Al Muham, Setia Esra S. Muhammad Ibnu Adani Muhammad Naufal Syafiq Purba Muhammad Wahdeni Pramana Muhammad Waldano Mukti Ali Munandar, Denna Eriani Muntalim, Muntalim Musmirani, Musmirani Mustajab, Abdullah Azam Mutia Haryani Siregar Nadia Priska Nainggolan, Klara Minar Sari Nainggolan, Tiarma Elisabet Najuah, Najuah Nariza Wanti Wulan Sari Nasution, Delila Agustina Nasution, Muhammad Ardiman Nazwa, M. Dirham Nida, Khairun Nina Nurmalia Dewi Ningrum, Dewy Maulidya Novita Agresia Manik Novita Paskah Rianti Nugraha, Pratama Yuly Nugraheni, Nazila Nur Azizah, Noviani Nur Gilang Fitriana Nur Salsabilah Harahap Nurkholifah Dwi Rahayu Nurmayanti, Wiwit Pura Nurwahyuni, Atik Octavianto, Thifan Okti, Reski Dwi oya, abas Pakpahan, Ananda Dasiva Pangruruk , Thesya Atarezcha Pangruruk Parawita Dewanti Patricia SM, Susan Barbara Peperawati, Pratiwi Rita Perangin-angin, Desta Riani Br. Piliang, Putri Hasanah Prasojo, Sri Irawan Laras Pratama, Arjun Prihati, Eka Priyono, Bagus Setyo Eko Pusparani, Syafina Puspito, Agung Nugroho Putri delvia Putri Indah Yani Putri, Desi Febriani Putri, Romadhona Destria Putri, Silfira Elisya Rachman, Fatya Rachmandhika, Yusuf Rafli Edelweis Turnip Raharyani, Anisa Ell Rahayu, Yuliana Fuji Rahman, Ade Aulia Rahmawati, Rahmawati Ramadhanti, Choirul Lisa Ratnasari, Tri Raudatul Fadilla Raunaq, Ulya Salisa Regar, Arthur FC Rina Kumalasari Riska Annisyafira Ristiyana, Suci Rito Goejantoro, Rito Rokhani Rokhani romdiyah Romdiyah Romdiyah, Romdiyah Rondhi, M Rony, Zahara Tussoleha Rumahorbo, Ruth Debora Saad, Moch Sabana, Sobi Safitri, Fivie Safitri, Mahardika Salman Aldo Alfaresi Salomo Martines Hutasoit Salsabila, Nur Afifah Sania Siregar Sanjaya, Rifqi Ilman Sartika, Dian Sembiring, Santa Hoky Setiani, Fibrinika Tuta Setiyono Setiyono Setyantini, Woro Hastuti Setyawati, Ari Setyawativ, Ari Shanya Br. Bangun Siagian, Yohana Magdalena Siahaan, Wahyu Renaldi Sibarani, Tesa Romanti Sifriyani, Sifriyani Sihotang, Marnita Simangunsong, Winda Helena Simaremare, Elsa Manora Sinaga, Yosua Solafide Sinambela, Rosi Daniela Sinurat, Gabriel Joey Febriand Siregar, Wishmar Samuel Siringoringo, Meiliyani Sitepu, Maria Maharani Siti Khadijah Siti Khoiriyah SITI MAHMUDAH SM, Indah Chofifah Sony Junianto Sri Haryanto Sri Jumini Sri Mulyani Sri Redjeki Utami Sri Suryaningsih Stevany Mbu, Margaretha Subhan Arif Budiman Sultan Ghozi Imaduddin Suparino, Balqis Widyastuti Supriadin, Andi Supriyati, Amanah Surbakti, Adriel Surya Prangga Suud, Hasbi Mubarak Suyitno Suyitno Syafa Nur Azizah Syafina Pusparani Syafina Pusparani Syaripuddin Syaripuddin Tappil Rambe Tarigan, Gema Persada Taufik, Rahadian Falqi Tiara Ni’ammusyfah Pasaribu Tri Ratnasari Tri Ratnasari Tri Wahyu Saputra Tsani, Nada Maulida Ubaidillah, Mohammad Ummi Sholikah Ummi Sholikhah Ummi Sholikhah Ustiawan, Arif Veronika Simbolon Vinc Jae Lestari Surbakti W Widia Wasono, Wasono Wijayanto, Yagus Wijayanto Wildan Muhlison, Wildan Wiwit Pura Nurmayanti Wulandari, Tri Suraning Yagus Wijayanto Yeremia Rivieri Yoandita Velina Aprilia Yuda Sanrico Simanullang Yudiprasetyo, Nehemia Bagas Yuki Novia Nasution, Yuki Novia Yuliana Santa Lore Purba Yuni Arroh Manita Yuniarti, Desi Yusuf Rachmandhika Zahrul Arief Intasar Zai, Diraningsih Zaky Firmansyah Maulana