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All Journal JURNAL SISTEM INFORMASI BISNIS Tadris: Jurnal keguruan dan Ilmu Tarbiyah ANDHARUPA JSPH (Jurnal Sosiologi Pendidikan Humanis) JOIV : International Journal on Informatics Visualization PRISMA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Ensiklopedia of Journal Minda Baharu Menara Ilmu International Journal for Educational and Vocational Studies Jurnal Studi Guru dan Pembelajaran Jurnal Menara Ekonomi : Penelitian dan Kajian Ilmiah Bidang Ekonomi Building of Informatics, Technology and Science The Indonesian Journal of Social Studies The Journal of Society and Media JURNAL GEOGRAFI Geografi dan Pengajarannya JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Journal of Herbal, Clinical and Pharmaceutical Science (HERCLIPS) Jurnal Partisipatoris IJIIS: International Journal of Informatics and Information Systems Abdimasku : Jurnal Pengabdian Masyarakat Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat International Journal of Environmental, Sustainability, and Social Science Journal of Applied Data Sciences Jurnal Pengabdian Masyarakat Indonesia International Journal of Social Learning (IJSL) Journal La Lifesci International Journal of Social Science Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) International Journal of Engagement and Empowerment (IJE2) SOCIAL : Jurnal Inovasi Pendidikan IPS Jurnal Pengabdian Kepada Masyarakat Jurnal Abdi Masyarakat Indonesia JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Pengabdian Masyarakat untuk Negeri (UN-PENMAS) Jurnal Teknologi Sistem Informasi Jurnal Puan Indonesia Kajian Moral dan Kewarganegaraan Journal of Indonesian Rural and Regional Government (JIRReG) Mudabbir: Journal Research and Education Studies Journal of Comprehensive Science Dedikasi: Jurnal Pengabdian Kepada Masyarakat Zona Manajerial: Program Studi Manajemen (S1) Universitas Batam Indonesian Research Journal on Education Innovative: Journal Of Social Science Research Jurnal Pengabdian Ibnu Sina International Journal of Emerging Research and Review Jurnal Manajerial dan Bisnis Tanjungpinang Jurnal Pendekar Nusantara Zona Kebidanan : Program Studi Kebidanan Universitas Batam Jurnal Ilmiah Multidisiplin Jurnal Pengabdian Masyarakat Inovasi Indonesia Jurnal Dialektika Pendidikan IPS Edumaspul: Jurnal Pendidikan
Sarmini Sarmini
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Assessing the Impact of Reservoir Water Availability on Clean Water Quality Risnawati, Risnawati; Sidabutar, Yuanita FD; Silalahi, Ratna Dewi; Sarmini, Sarmini
Journal La Lifesci Vol. 5 No. 5 (2024): Journal La Lifesci
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallalifesci.v5i5.1488

Abstract

This paper aims to explore the key issues that govern water resource management in a particular District of East Tanjungpinang in Indonesia with particular reference to the reservoir systems on which the District relies heavily especially during the rainy seasons. Using both statistical analysis of water quality data and case-study / interview data, this research demonstrates that the district is exposed to climate variability, increasingly inadequate water infrastructure, and pollution threats. The research study shows that the reduction in water levels is being accompanied by poor water quality both due to poor infrastructure and increased pollution from industrial, agricultural and domestic sectors. The study provides new directions for water management, it emphasizes the need for enhanced more adaptive and resilient water management approaches that include technologies, infrastructure and green infrastructure. This also raises the call to develop better governance systems that increase opportunities for people’s participation, better compliance with the law, and the incorporation of indigenous concepts with contemporary management systems. Overall, it advances the understanding of water security concept and provides findings and suggestions for other regions in the world experiencing the same issues in the management of the freshwater resources under the conditions of climate change and growing urbanization.
Performance Comparison of Zevenet Multi Service Load Balancing with Least Connection and Round Robin Algorithm Ma'arifah, Windiya; Sarmini, Sarmini
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1985

Abstract

Amikom Purwokerto University concentrates on Technology and Digital Business. This requires technology to be utilized optimally. The use of technology, especially internships, will make various jobs easier. KRS online is taking lecture schedules online via the AMIKOM Purwokerto Student website. There are several problems with the web server that arise due to the increasing need for information access, which causes the data traffic load to increase. Increased data traffic causes workload overload, resulting in server downtime. Experimental methods were used in this research to look for the causes of the web server's downtime. Then, implement the technology. The purpose is to evaluate the Zevenet load balancer performances by comparing the round-robin and least-connection algorithms. The decision is which algorithm will be used best to implement the Zevenet Load balancer to achieve a more efficient backend server traffic cluster distribution. The TIPHON standard Quality of Service parameters used in Zevenet Load Balancer performance testing are throughput, delay, jitter, packet loss, and CPU usage. The quality-of-service parameter test results show that the Zevenet Load Balancer with the round-robin algorithm has superior performance and shows less CPU usage. It is concluded that using the round-robin algorithm in implementing the Zevenet load balancer to overcome the problem of data traffic load sharing and minimize server downtime on the Student Amikom Purwokerto web server is more appropriate and more effective.
Classification of Air Pollutant Index on Data with Outliers and Imbalance Class Problem Krisbiantoro, Dwi; Waluyo, Retno; Hasanah, Uswatun; Pratama, Irfan; Sarmini, Sarmini
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.1993

Abstract

The problem of air pollution has become a global issue that has received attention from various countries. Jakarta, Indonesia's capital city, is unavoidable from the same problem. This study will use four parameters of substances PM10, SO2, CO, O3, and nitrogen dioxide to categorize Jakarta's air quality (NO2). The data used is daily data taken from the Air Quality Monitoring Station in Jakarta throughout 2020. The methods used include SVM, Random Forest, Logistic Regression, KNN, CART, and Stacking Algorithm. At the data preparation stage, we found missing values, outliers, and class imbalance problems. Before applying machine learning methods and evaluating accuracy, we used data pre-processing techniques such as the MissForest method, median substitution, and ADASYN. The results prove that the original dataset has a higher accuracy score (0.882 – 0.977) than the balanced dataset (0.829 – 0.976). According to the evaluation results, the Random Forest method has the highest accuracy score for original and balanced datasets. The overall result is better than the identical research, which produces 96.61% accuracy using a neural network. It shows that preprocessing steps such as missing values handling an imbalanced class handling is essential in classification performance.
Pelatihan Penulisan Artikel Ilmiah Bagi Mahasiswa Kampus Merdeka Fakultas Ilmu Komputer Sarmini, Sarmini; Febrianti, Diah Ratna; Yuliana, Dwi
Jurnal Pengabdian Masyarakat Indonesia Vol 4 No 5 (2024): JPMI - Oktober 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.3108

Abstract

Pelatihan penulisan artikel ilmiah di Fakultas Ilmu Komputer Universitas Amikom Purwokerto bertujuan untuk meningkatkan kemampuan mahasiswa dalam menyusun artikel ilmiah yang sesuai dengan standar jurnal terindeks. Metode yang digunakan meliputi pre-test untuk mengukur kemampuan awal, pelatihan interaktif, dan post-test untuk mengevaluasi peningkatan kemampuan. Hasil menunjukkan adanya peningkatan rata-rata skor post-test sebesar 68% dibandingkan dengan pre-test, dengan peningkatan terbesar pada kemampuan menulis abstrak sebesar 78.26%. Pelatihan ini juga menghasilkan beberapa artikel mahasiswa yang dinyatakan siap dipublikasikan di jurnal terindeks. Disarankan agar pelatihan dilakukan secara berkala, minimal setiap semester, dan dilengkapi dengan pendampingan intensif untuk mendukung proses publikasi. Upaya ini diharapkan dapat meningkatkan kualitas dan jumlah publikasi artikel ilmiah mahasiswa secara berkelanjutan.
Sistem Pendukung Keputusan Berbasis K-Means untuk Evaluasi Keberhasilan Bisnis dan Nilai Perusahaan Sarmini, Sarmini; Ma'arifah, Windiya; Tahyudin, Imam
Jurnal Sistem Informasi Bisnis Vol 14, No 4 (2024): Volume 14 Nomor 4 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss4pp363-374

Abstract

Business development is in line with the development of increasingly sophisticated technology. This requires every company to compete and be motivated to increase its value as an indicator of success in managing the company so that investors are interested in investing. This study aims to design a K-means-based Decision Support System with a clustering approach to classify the growth rate of company value. Investment Opportunity Set (IOS) and profitability variables are the leading indicators of increasing company value. The problem formulation is how the design of this K-means-based decision support system can assist in classifying the growth rate of the company's value based on the IOS and profitability variables. This research aims to produce a decision support system that can organize the growth rate of company value using the K-means method. System testing is conducted to evaluate the effectiveness of the applied clustering method, focusing on the accuracy of the results. The weighting of IOS and profitability variables is based on the percentage of positive relationship to firm value, and the ultimate goal is to group companies with different growth rates. As a result, the K-means-based Decision Support System, or "Business Growth Prediction Decision Support System," successfully clustered the growth rate of firm value. With reasonable accuracy, measured using the silhouette coefficient, the calculation results show an overall mean silhouette coefficient of 0.684, close to the maximum value of 1. This result confirms that this decision support system can group companies in the L (Low), M (Medium), and H (High) categories based on the level of value growth, using the IOS and profitability variables as the leading indicators. Thus, this research supports decisions related to company growth strategies using K-means-based decision support systems.
Performa Random Forest dan XGBoost pada Deteksi Penipuan E-Commerce Menggunakan Augmentasi Data CGAN Sarmini, Sarmini; Sunardi, Sunardi; Fadlil, Abdul
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6430

Abstract

Fraud detection in e-commerce faces great challenges due to data imbalance, where legitimate transactions far outnumber fraudulent transactions. This research explores the use of Conditional Generative Adversarial Network (CGAN) to generate synthetic fraudulent transaction data to address the imbalance problem. By increasing the amount of data in the minority class, this research aims to improve the performance of two widely used machine learning algorithms, namely Random Forest and XGBoost. The dataset used of 23,634 transactions with 22,412 non-fraud transactions and 1,222 fraudulent transactions. Accuracy, precision, recall, and F1-score metrics were conducted to assess the performance of the model in detecting fraud on the imbalanced and augmented datasets. The results show that augmentation of data with CGAN significantly improves the performance of both models, especially in improving recall for fraudulent transactions. On the original unbalanced dataset, Random Forest and XGBoost showed low recall (12.81% and 13.08%), with accuracy of 95.35% and 95.32% respectively. However, after augmentation, recall improved to 95.15% for Random Forest and 95.22% for XGBoost, with F1-score of 97.47% and 97.42% respectively, and accuracy of 97.50% for Random Forest and 97.42% for XGBoost. XGBoost showed a slight advantage in precision and recall over Random Forest, especially on the augmented dataset. These findings confirm the effectiveness of CGAN as a data augmentation method in improving fraud detection performance and offer a robust solution to address data imbalance in the financial sector.
Pengaruh Kualitas Pelayanan Proses Pembelajaran Guru IPS Terhadap Kepuasan Peserta Didik Kelas VIII di SMP Negeri 2 Sei Bamban Gomgom Samosir, Marinus; Turhan, Muhammad; Sarmini, Sarmini
MUDABBIR Journal Research and Education Studies Vol. 5 No. 1 (2025): Vol. 5 No. 1 Januari - Juni 2025
Publisher : Perkumpulan Manajer Pendidikan Islam Indonesia (PERMAPENDIS) Prov. Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56832/mudabbir.v5i1.650

Abstract

Penelitian ini bertujuan untuk mendeskripsikan : (1). Bagaimana kualitas pelayanan pembelajaran guru IPS terhadap kepuasan peserta didik kelas VIII di SMP Negeri 2 Sei Bamban. (2) Apakah terdapat pengaruh kualitas pelayanan proses pembelajaran guru IPS di SMP Negeri 2 Sei Bamban terhadap peserta didik. Adapun jenis penelitian ini adalah kuantitatif menggunakan metode ex post facto. Populasi pada penelitian ini yaitu peserta didik kelas VIII dengan jumlah sampel sebanyak 62 responden/peserta didik. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, kuesioner, dan studi dokumentasi.Hasil penelitian dengan pengujian secara parsial uji t membuktikan terdapat pengaruh kualitas pelayanan proses pembelajaran guru IPS terhadap kepuasan peserta didik dengan nilai thitung sebesar 3,385 dan nilai ttabel diketahui sebesar 1,999 yang berarti nilai thitung lebih besar dari ttabel (3,385 > 1,999), maka keputusan dalam penelitian ini adalah diterima. Selanjutnya berdasarkan hasil uji koefesien determinasi, menunjukkan tabel R Square sebesar 0,160 atau sama dengan 16,0%.
Pengembangan Edu-Ekowisata Batik Kabupaten Magetan untuk Penguatan Pendapatan Daerah menuju Green Economy Nasional Rahmadyanti, Erina; Susanti, Martini D.E; Sarmini, Sarmini; Mulyono, Agus Taufik; Supriyanto, Muhammad
UN PENMAS (Jurnal Pengabdian Masyarakat untuk Negeri) Vol 4 No 2 (2024): UN PENMAS Vol 4 No 2
Publisher : LPPM Universitas Narotama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/un-penmas.v4i2.2796

Abstract

Kegiatan ini bertujuan untuk mengembangkan pariwisata kreatif berbasis edu-ekowisata green industry batik di Desa Sidomukti. Metode yang digunakan meliputi edukasi dan sosialisasi, rancang bangun, serta pelatihan dan pendampingan. Hasil yang diperoleh adalah 1) peningkatan jumlah wisatawan rata-rata sebesar 7-10% per bulan; 2) introduksi peder batik mampu menghasilkan pewarnaan kain sebanyak 700 m/hari dengan jumlah pewarna sejumlah 30 gr/L untuk mencukupi 3,5 m kain mori dengan kecepatan pewarnaan 4,5 m per 10 menit; 3) instalasi pengolahan air limbah terbukti efisien untuk mengolah limbah cair batik Sidomukti karena memenuhi standar Peraturan Gubernur Jawa Timur No. 72 Tahun 2013 tentang baku mutu air limbah bagi industri tekstil. Hasil pengolahan menunjukkan kandungan TSS sebesar 14.9 mg/L, COD sebesar 6,4 mg/L, ammonia total (NH3-N) sebesar 0,037 mg/L; BOD5 sebesar 3 mg/L, dan chromium total sebesar 0,047 mg/L; 4) dukungan penguatan teknologi tepat guna (pelorod malam, penerangan, pemanenan air hujan), pengembangan sarana prasarana (booth makanan, spot foto, art shop, akomodasi, dan toilet umum bertema “batik”, serta penyelenggaraan kegiatan (events) bertema “batik” (lomba desain motif, fashion show , lomba mewarnai batik maupun mural batik) diperlukan untuk mendukung keberlanjutan pariwisata kreatif edu-ekowisata green industry batik Sidomukti.
Peran Akuntansi Menuju Ketahanan Bangsa Richmayati, Maya; Sandra, Elminaliya; Khadijah, Khadijah; Sarmini, Sarmini; Fauziah, Syifa
PUAN INDONESIA Vol. 6 No. 2 (2025): Jurnal Puan Indonesia Vol 6 No 2 Januari 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v6i2.324

Abstract

Akuntansi adalah instrumen strategis untuk mendukung ketahanan bangsa dari berbagai dimensi, mulai dari manajemen keuangan, pembangunan ekonomi, hingga terciptanya keadilan sosial sesuai dengan sila kelima Pancasila. Dengan sistem akuntansi yang baik, bangsa dan negara dapat menghadapi tantangan ekonomi, politik, dan sosial dengan lebih tangguh. Identitas nasional sangat berharga karena dengan identitas nasional yang kuat, hal itu akan diakui oleh berbagai negara di seluruh dunia. Salah satu contohnya adalah produk-produk yang dihasilkan oleh UMKM dan dikonsumsi oleh seluruh penduduk Indonesia. Dengan mempercayai produk UMKM, bangsa Indonesia akan memperkuat persatuan Indonesia dan meningkatkan ketahanan bangsa dan negara, sehingga negara asing ragu untuk memasarkan produk mereka di dalam negeri. Akuntansi adalah "bahasa" yang akan dikomunikasikan kepada pengguna. Dalam akuntansi, ada empat laporan yang akan dihasilkan: laporan laba rugi, laporan arus kas, neraca, dan laporan perubahan ekuitas. Oleh karena itu, standar akuntansi keuangan (SAK) diperlukan dalam penyusunannya agar laporan keuangan yang dihasilkan berkualitas baik. Ini berlaku untuk perusahaan yang sudah terdaftar di bursa, karena mereka akan diaudit oleh auditor eksternal. Bagaimana pencatatan dilakukan oleh individu yang bukan berasal dari industri, khususnya individu pribadi yang tidak memahami akuntansi, maka pencatatan cukup dengan laporan laba rugi menggunakan konsep "pendapatan-biaya-biaya operasional."
Uji Aktivitas Antibakteri Deodorant Spray Tea Tree Oil (Melaleuca alternifolia) Terhadap Staphylococcus aureus Hidayati, Nurul; Budiman, Hendra; Sarmini, Sarmini
Journal of Herbal, Clinical and Pharmaceutical Science (HERCLIPS) Vol 6 No 01 (2024): HERCLIPS VOL 06 NO 01
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/herclips.v6i01.8244

Abstract

Deodorant spray adalah produk kosmetik yang digunakan untuk menyerap keringat, manutup bau badan, dan mengurangi bau badan. Deodorant yang beredar dan digunakan masyarakat sebagian besar berbahan dasar sintesis. Penggunaan deodorant berbahan sintesis secara terus-menerus berdampak buruk bagi tubuh. Solusinya adalah dengan mengembangkan formulasi deodorant spray dengan zat aktif alami. Tea tree oil efektif sebagai antibakteri, yang dapat mengendalikan bau ketiak. Tujuan penelitian ini adalah untuk mengetahui aktivitas antibakteri deodorant spray terhadap Staphylococcus aureus dan formula dengan konsentrasi tea tree oil yang dapat menghambat paling kuat. Metode penelitian ini eksperimental laboratorium. Formula deodorant menggunakan variasi konsentrasi tea tree oil yaitu 2% (F1), 3% (FII), dan 5% (FIII). Sediaan kemudian dilakukan evaluasi organoleptis, homogenitas, pH, viskositas, daya sebar, daya lekat, kejernihan, dan uji aktivitas antibakteri. Hasil penelitian menunjukkan ketiga formula dapat menghambat Staphylococcus aureus, dibuktikan dengan adanya zona hambat. Formula terbaik deodorant spray yaitu F3 dengan konsentrasi tea tree oil 5% dengan zona hambat paling kuat yaitu 24, 6 mm.
Co-Authors Abdul Azis Abdul Fadlil Abednego Dwi Septiadi Aditiya, Eka Candra Rachmad Adiya, Az Zahra Dwi Nur Agung Dwi Bahtiar El Rizaq agung setiawan Agus Suprijono Agus Suprijono Agus Taufik Mulyono AHMAD MUZAKKI Ali Imron Amalia Fatma Pitaloka Amelia, Cevy Andi Hidayatul Fadlilah Andika Prasetya Nugraha Anindya, Salsa Antartika, Abrianty Arif Rahman Hakim Arifah, Laila Nur Ariyanti Ariyanti Ariyanti Ariyanti Artono Artono, Artono Asri, Maulidya Anggreani Puspita Aura Afan Shabrina Ayudya Nova Puspaningtyas Bambang Satriawan BAYU SEGARA PUTRA, GEDE Bela, Sita Bisri, Mashur Hasan Catra Y, Wayan Cevy Amelia Chyntia Raras Ajeng Widiawati Dahlan Gunawan Daniel Happy Putra Diah Ainin Budiarti Dinata, Candra DWI GATI, NITA Dwi Dwi Krisbiantoro, Dwi Dzakkiyah, Alya Khansa Dzikri, Muhammad Zulfikar Eka Tripustikasari, Eka Elminaliya Sandra Elsa Komala, Elsa Ely Kurniawati Erina Rahmadyanti Ervina Halit Faisal, Vava Imam Agus Fandy Setyo Utomo Febri Edward Febrianti, Diah Ratna Ferdila, Ferdila Fira, Choly Septa Fitriya, Ulthufna Kausarul FX Sri Sadewo Gading Gamaputra Galih Setyawan, Katon Galih Wahyu Pradana Gomgom Samosir, Marinus Hendra Budiman Hidayat, Mokh. Aldi Hidayati, Armawati Hidayatu Munawaroh, Hidayatu hidayatulloh, hanif Ilham, Rifqi Arifin Imam Tahyudin Indriyani, Ria Irvani, Zendika Ita Mardiani Zain Jacky, M Katon Setyawan Ketut Prasetyo Khadijah Khadijah Kharisma, Marcellina Tiara Putri Khasanah, Fitrotul Khoerida, Nur Isnaeni Kristanti, Fania Putri Kurnia Imtichatus Sholichah Kusnul Khotimah Kusnul Khotimah Kusnul Khotimah Laila Vika Safitri Lailiyah, Faridatul Lediawati, Teni Siti Linayati Lestari, Linayati Listyaningsih Listyaningsih LUTFAIDAH, ANNA M., Jacky Ma'arifah, Windiya Mahat, Hanifah Maulana Baihaqi, Wiga Maya Richmayati Mengkepe, Amy Dara Istikoma MUHAMMAD JACKY Muhammad Turhan Yani Mujahidin, Muhammad Diwanul Mulyadi Mulyadi Mustika, Ita Nabela, Mukaromah Efirahmasetiani NAGALIMAN, Nagaliman Nasution Nasution Nasution Nasution Ngaliman, Ngaliman Ningrum, Diah Luckyta Niswatin Nuansa Bayu Segara Nuansa Bayu Segara Nugroho Hari Purnomo Nurdewanti, Nilam Puspita Nurul Hidayati Oksiana Jatiningsih Pahlevi, Rahma Shintya Pambayun, Niken Lia Prihatiningtias Pamor Gunoto Prameswari, Karina Puspita Prastuti, Ajeng Eka Pratama, Cindy Arinda Diah Pratama, Irfan Pratama, Satrya Fajri Pratama, Wildan Razzaq Pungkas Subarkah Purba, Iman Pasu Marganda Hadiarto Puspaningtyas, Ayudya Nova Rahma, Zahra Alida Asa Rahmah, Anisa Aulia Ramadhan, Rio Fadly Rasyid, Suparta Rendianto, Fakrul Aldi Rini Elfina Risa Ayu Aktavia Riski Darma Santi Risnawati Risnawati Riswandhi Ismail Rujianto Eko Saputro Sabri Sabri Salma, Karina Salsabila, Firdausi Irma Sanuri, Ranti Saputra, Aina Aldi Saputri, Inka Sasmita Timur, Elshinta Agustin Septina Alrianingrum Setiyono, Rizal Setyawan, Katon Galih Silalahi, Ratna Dewi Siraj Siraj Siti Maizul Habibah Sri Hartini Sri Yanti Sugandi, Zain Arif Wildan SUGENG HARIANTO Suhaimi Suhaimi Sukartiningsih, Sri Sukma Perdana Prasetya Sumantri, Sumatri Sunardi Sunardi Sunarto Sunarto Supriyanto, Muhammad Susanti, Martini D.E Suyono Suyono Syahrizaldy, Hikmalul A'la Syawaldi, Rizky Bilal Syifa Fauziah Taqwa Hariguna Tarwoto, Tarwoto Turhan, Muhammad Ulthufna Kausarul Fitriya Uswatun Hasanah Wahid, Arif Mu'amar Wahyu, Herta Tri Waluyo, Retno Warsono Warsono Widiawati, Chyntia Windayati, Dian Titik Windayati, Diana Titik Yasmin, Fathimah Nur Yenny Aryaneta Yi, Ding Yuanita FD Sidabutar Yuliana, Dwi Yuliarti, Agnes Pradini Yulvinda, Rossa Yuniar, Indhiawan Yunita, Ika Romadoni Zamzami, Mohammad Aqil Misbach Zein, Ita Mardiani