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All Journal ComEngApp : Computer Engineering and Applications Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TEKNIK INFORMATIKA Teknika Jurnal Teliska Proceedings of KNASTIK Elkom: Jurnal Elektronika dan Komputer PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Prosiding SNATIF Teknika: Jurnal Sains dan Teknologi Annual Research Seminar SMATIKA Jurnal Ampere Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Informatika Upgris Tech-E International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Qua Teknika Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Elektronik bit-Tech Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems Jurnal Teknik Informatika (JUTIF) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Advance Sustainable Science, Engineering and Technology (ASSET) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bangsa Enrichment: Journal of Multidisciplinary Research and Development Prosiding Seminar Hasil Penelitian dan Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Sultan Indonesia Journal of Environment and Sustainability Education JEPEmas: Jurnal Pengabdian Masyarakat (Bidang Ekonomi) Jurnal Pengabdian Masyarakat Mentari Smatika Jurnal : STIKI Informatika Jurnal
Ade Silvia Handayani
Politeknik Negeri Sriwijaya
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Perancangan Sistem Monitoring Infus Menggunakan Mikrokontroler Arduino Uno Secara Real - Time Handayani, Ade Silvia; Mardiani, Mega; Taqwa, Ahmad
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Terapi intravena adalah prosedur medis yang menggunakan jarum untuk menggantikan cairan atau menyuntikkan obat ke dalam pembuluh darah. Namun kenyataan di lapangan, umumnya pemantauan infus dilakukan secara manual, yang seringkali menimbulkan masalah seperti infus habis tanpa sepengetahuan perawat. Dalam penelitian ini, dengan memanfaatkan teknologi Internet of Things (IoT) untuk pemantauan infus dari jarak jauh dan sejumlah komponen, termasuk sensor load cell, Optocoupler, Webcam, dan Arduino Uno sebagai pengendali utama, serta modul NodeMCU ESP32 yang digunakan untuk menghubungkan sistem ke internet, sehingga data pemantauan dapat diakses melalui server dengan komunikasi serial dan protokol MQTT secara real-time. Hasil penelitian menunjukkan bahwa sensor berkinerja baik, dengan tingkat akurasi sekitar 80% dalam pengujian. Data pemantauan infus dan kontrol pasien dapat diakses melalui aplikasi Android, memungkinkan pemantauan yang lebih efisien. Dengan teknologi ini, perawat dapat memantau infus dari jarak jauh, sehingga dapat meningkatkan kualitas perawatan dan keselamatan pasien secara keseluruhan.
Perbandingan Polaritas VV dan VH dalam Penerapan Algoritma NDFI pada Pemetaan Banjir Kota Palembang Az-zahra, Maudhy; Handayani, Ade Silvia; Lindawati, Lindawati
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.36209

Abstract

Frequent floods in Indonesia, particularly in Palembang, South Sumatra, pose significant economic and social challenges due to land-use alterations, river overflow, and intense precipitation. The region's geographical, geological, and demographic features, compounded by global climate change, worsen the situation. Flood mapping and monitoring, utilizing satellites like Sentinel-1 with Synthetic Aperture Radar (SAR), are pivotal for mitigating these disasters. Sentinel-1's SAR technology aids wetland monitoring, acting as a natural water absorber and minimizing flood risks. Data from Sentinel-1, especially in VV and VH polarizations, offer profound insights into hydrological systems influencing floods. SAR efficiently comprehends Earth's environment, facilitating high-precision and rapid flood mapping using the NDFI method in Palembang. This study compares VV and VH polarizations in the NDFI algorithm to identify the most suitable polarization for accurate flood mapping. Results show VV data achieves 97.8% mapping accuracy compared to VH's 50%. The high accuracy of VV data signifies superior flood area detection. Moreover, VV's sigma0 value (backscatter) at -1.47 dB exceeds VH's approximately -20.47 dB, indicating stronger signal intensity. Hence, VV-polarized data, considering its performance, proves more effective for flood mapping.   Keywords: NDFI; Flood; Polarization; Sentinel
Peningkatan Keterampilan Kreatif Dan Berpikir Kritis Melalui Pendidikan Vokasi Untuk Masa Depan Berkelanjutan Pada Kegiatan Expo First 2024 M Arief Rahman; Handayani, Ade Silvia
Sehati Abdimas Vol 7 No 1 (2024): Prosiding Sehati Abdimas 2024
Publisher : PPPM POLTESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47767/sehati_abdimas.v7i1.928

Abstract

Peningkatan keterampilan kreatif dan berpikir kritis merupakan kebutuhan penting dalam menghadapi tantangan masa depan yang berkelanjutan. Pendidikan vokasi memiliki peran strategis dalam membekali peserta didik dengan kemampuan yang relevan untuk menjawab kebutuhan dunia kerja sekaligus mendukung pembangunan berkelanjutan. Kegiatan ini bertujuan untuk mengeksplorasi efektivitas kegiatan Expo FIRST 2024 sebagai sarana pengembangan keterampilan kreatif dan berpikir kritis dalam konteks pendidikan vokasi. Expo FIRST 2024 dirancang sebagai platform kolaboratif yang mempertemukan siswa maupun mahasiswa, pendidik dosen dan guru, dan pelaku industri untuk berbagi inovasi, memperluas wawasan, dan membangun jejaring. Metode kegiatan ini menggunakan pendekatan deskriptif dengan observasi, wawancara, dan survei sebagai instrumen utama. Data dikumpulkan dari peserta expo, termasuk siswa maupun mahasiswa dari berbagai program vokasi, pendidik baik guru maupun dosen, serta perwakilan industri. Hasil pengabdian menunjukkan bahwa kegiatan ini meningkatkan kemampuan kreatif dan berpikir kritis siswa maupun mahasiswa melalui inovasi yang dipamerkan. Temuan juga mengungkapkan adanya peningkatan minat siswa, mahasiswa, dosen, dan praktisi terhadap isu-isu keberlanjutan, yang mencerminkan dampak positif dari expo dalam membangun kesadaran lingkungan. Kesimpulan dari kegiatan Expo FIRST 2024 berkontribusi dalam mendukung pendidikan vokasi sebagai instrumen pengembangan keterampilan yang relevan dengan masa depan berkelanjutan. Rekomendasi mencakup pengintegrasian kegiatan serupa secara rutin dalam kurikulum pendidikan vokasi untuk memperkuat dampak jangka panjang.
Analysis of DVB-T2 TV Broadcast Receiver with Comparison of Signal Reception Quality Dzikrillah, Muhammad; Handayani, Ade Silvia; Rakhman, Abdul
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6429

Abstract

Television is one of the most widely used media for receiving sound and image transmissions worldwide, particularly in Indonesia. Government regulations require all television broadcasters in Indonesia to cease analog broadcasts and transition to digital broadcasts. Consequently, a device known as the Set Top Box (STB), equipped with a low noise amplifier (LNA), converts DVB-T2 digital signals into images and audio suitable for analog televisions. Tests were conducted to evaluate its signal reception capabilities. These tests took place at four Palembang city locations, utilizing indoor and outdoor antennas. The results revealed that the device's signal strength ranged from -48.7 dBm, reaching 100% signal quality, to the weakest signal at -97 dBm. Moreover, an average difference of 6.9 dB was observed between indoor and outdoor testing for each frequency. Furthermore, analyzing the average signal strength based on distance showed that the highest strength of -56.2 dBm occurred at a distance of 1.5 km from the transmitter during outdoor testing. In comparison, the weakest strength of -91.6 dBm occurred at a distance of 1.8 km during indoor testing. Additionally, a signal strength comparison between test locations indicated that the most significant difference was between the Kamboja and Plaju locations. The LNA device achieved its highest gain value of 15.2 dB. Various factors, including antenna direction, obstructions such as buildings, antenna height, signal stability, and the distance between the transmitter and receiver, influence the signal quality.
Field-Level AES-128 Encryption in Laravel-based E-Commerce for MSME Data Protection Afifah, Luthfia; Nurdin, Ali; Handayani, Ade Silvia
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.37675

Abstract

The increasing digitization of micro, small, and medium enterprises (MSMEs) in e-commerce brings critical challenges in protecting customer data. Despite the widespread use of encrypted communication protocols such as HTTPS and TLS for secure data transmission, many MSMEs still fail to implement encryption at the data storage level. This means that once the data reaches the server, it is often stored in unencrypted form within the database. This study implemented AES-128 encryption at the field-level in a Laravel-based e-commerce system to protect MSME customer data. The encryption was applied to sensitive data fields and tested through black-box testing and benchmark analysis. A dataset of 10,000 records was used to compare performance between plaintext and encrypted operations. Results showed an average encryption overhead of 0.0409 seconds, indicating minimal impact on performance. The encryption-decryption process consistently returned correct outputs across all trials. This solution offers an affordable and scalable encryption model for MSMEs, enhancing customer data security without relying on external tools or infrastructure.
Perancangan Sistem Monitoring Kadar Kualitas Udara Menggunakan Particulate Matter 2,5 Berbasis Website Felisia Talitha Aprilia; Ahmad Taqwa; Ade Silvia Handayani
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 02 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i02.594

Abstract

In this study, designing a mobile web to carry out the process of monitoring air quality levels that is integrated intoa system so that it is able to detect the state of air quality in the area in Palembang. This mobile web uses devices/tools at the BMKG (Meteorolog, Climatology and Geophysics Agency) Sultan Mahmud Badaruddin II Palembang that can work in real-time with an Internet of Things based platform. This research uses the SDLC (System Development Life Cycle) web development method. The results of this study are a monitoring system designed to automatically detect the state of Particulate Matter 2,5 air quality and then provide notifications to the connected gmail, without time lapse and air quality information data recording which will automatically be displayed in real-time on the user’s smartphone and give an emergency message when it is in the threshold of unhealthy or dangerous. Air quality information can be accessed online via the mobile web anywhere and anytime.
EduKopi Sriwijaya Membangun Wisata Kopi Edukatif untuk Peningkatan Pengetahuan dan Ekonomi Masyarakat M Arief Rahman; Ade Silvia Handayani; Nabiel Arinaullah; M Lutfi Kurniawan; Ghina Maysya Ayu; Ella Rosita
Jurnal Pengabdian Masyarakat Sultan Indonesia Vol. 2 No. 1 (2025): Abdisultan
Publisher : Sultan Publsiher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/abdisultan.v2i1.363

Abstract

  Kegiatan pengabdian masyarakat EduKopi Sriwijaya tidak hanya dirancang sebagai sarana pelatihan, tetapi juga sebagai strategi pembangunan ekonomi lokal yang mengedepankan pendekatan partisipatif dan berkelanjutan. Kegiatan ini dilaksanakan di Rumah Kopi Sriwijaya, Provinsi Sumatera Selatan, yang memiliki potensi kopi unggulan dan komunitas penggiat kopi aktif. Melalui kolaborasi antara institusi pendidikan dan komunitas kopi lokal, kegiatan ini membuka ruang interaksi produktif antara akademisi, petani kopi, pelaku UMKM, dan masyarakat umum. Selain memberikan pelatihan teknis, program ini membangun pemahaman peserta terhadap pentingnya nilai tambah kopi, mulai dari branding produk, pengemasan yang menarik, hingga strategi pemasaran berbasis digital. Pendekatan wisata edukatif yang digunakan tidak hanya berfokus pada transfer ilmu, tetapi juga memberikan pengalaman menyeluruh yang menyenangkan dan inspiratif, sehingga menarik minat generasi muda untuk terlibat dalam sektor pertanian kreatif. Dampak jangka pendek yang terlihat adalah tumbuhnya semangat wirausaha berbasis kopi pada beberapa peserta, serta meningkatnya ketertarikan masyarakat terhadap pariwisata tematik. Penelitian ini menggunakan pendekatan kualitatif partisipatif, dengan teknik observasi, wawancara, dan diskusi kelompok sebagai metode pengumpulan data. Ke depan, EduKopi Sriwijaya diharapkan dapat direplikasi di daerah lain yang memiliki potensi serupa, sebagai bagian dari upaya pelestarian budaya lokal sekaligus pengembangan ekonomi berbasis komunitas.
Analysis of Frequency Spectrum in Digital Image Transmission Using Orthogonal Frequency Multiplexing Sarjana Sarjana; Ade Silvia Handayani; Devi Wahyuni
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2749

Abstract

Accurate and efficient data transmission is increasingly essential due to the growing reliance on digital communication, particularly for multimedia content such as images. Orthogonal Frequency Division Multiplexing (OFDM) provides high bandwidth efficiency and strong noise resilience by transmitting data over multiple orthogonal subcarriers. Despite its advantages, limited studies have explored how modulation schemes influence frequency-domain characteristics during image transmission under different noise conditions. This study addresses that gap by evaluating digital image transmission through OFDM using Binary Phase Shift Keying (BPSK) and Quadrature Phase Shift Keying (QPSK) modulation. The objective is to compare spectral performance across various signal-to-noise ratio (SNR) levels. A grayscale image is converted into a binary stream, modulated using BPSK and QPSK, and processed through an OFDM system with 512 subcarriers and a 25% cyclic prefix. The signals are transmitted through an Additive White Gaussian Noise (AWGN) channel at SNR values of 0 dB, 5 dB, and 10 dB. Power Spectral Density (PSD) is measured using the Welch method with a Hamming window, 50% overlap, and 1024-point Fast Fourier Transform (FFT). The results show that increasing SNR improves spectral sharpness, reduces the noise floor, and enhances symmetry. BPSK offers better performance in noisy conditions, while QPSK is more efficient in high-SNR environments. These findings provide practical insight for optimizing modulation choices in OFDM-based image transmission systems where spectral efficiency and noise robustness must be balanced.
Multi-Step GRU Model for River Water Level Prediction with IoT Sensors Ahmad Satrio Perdana; Ade Silvia Handayani; Ciksadan Ciksadan; Carlos RS; Asriyadi Asriyadi
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2846

Abstract

The Simpang Lima PUPR Pump Station on Jalan Radial, Palembang, serves as a critical drainage point for the largest water discharge in the downstream area, making the surrounding region highly vulnerable to surface runoff and flooding, especially during short-duration high-intensity rainfall events. This study aims to develop a 24-hour ahead multi-step river water level prediction model using the Gated Recurrent Unit (GRU) algorithm, powered by real-time data from Internet of Things (IoT) sensors installed at the pump station. The collected dataset spans from June to July and includes water level, rainfall, temperature, humidity, and barometric pressure. The data was preprocessed through normalization before being used as input to the GRU model. The GRU-based prediction model demonstrated strong performance with a Mean Squared Error (MSE) of 0.394, Root Mean Squared Error (RMSE) of 0.628, coefficient of determination (R²) of 0.99, and Nash-Sutcliffe Efficiency (NSE) of 0.9853. These results indicate high predictive accuracy and model reliability. The proposed model has strong potential for integration into early warning dashboards to support flood mitigation strategies and improve the operational efficiency of pump stations in high-risk urban zones. Additionally, this research offers a data-driven framework for the Ministry of Public Works and Housing (PUPR) to design real-time, predictive flood control systems. The approach can optimize pump operations, enhance emergency response planning, and guide drainage infrastructure improvements. Furthermore, it promotes climate-resilient flood adaptation policies and serves as a model for smart technology deployment in other Indonesian cities.
Comparative Analysis Of Random Forest and Naive Bayes for Flood Classification Using Sentinel-1 SAR Clara Silvia Rotua Aritonang; Ade Silvia Handayani; Suroso Suroso; Wahyu Caesarendra; Asriyadi Asriyadi
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2852

Abstract

This research introduces a framework for classifying flood inundation utilising Sentinel-1 Ground Range Detected (GRD) radar imagery alongside machine learning algorithms.  Radar backscatter values from pre- and post-event Sentinel-1 images were processed with SNAP and QGIS to extract spatial features and change indicators in decibel (dB) format.  The tabular dataset, comprising 500,000 samples that equally represent flooded and non-flooded areas, was utilised for model training. Two models, Random Forest and Naive Bayes, were assessed for their classification efficacy.  The Random Forest model demonstrated exceptional performance, attaining an accuracy of 99.81%, precision of 99.75%, recall of 99.67%, and an F1-score of 99.71%.  Naive Bayes achieved an accuracy of 52.63%, with precision and F1-score notably impacted by elevated false positive rates, although recall was 86.36%.  Analysis of confidence distribution indicated that Random Forest exhibited low-confidence errors at the decision boundary, whereas Naive Bayes demonstrated confident misclassifications. Analysis of computation time indicated that Naive Bayes required less than 0.1 seconds per run, whereas Random Forest completed training in under 3 minutes.  The trade-off between speed and reliability underscores the appropriateness of Random Forest for operational flood mapping applications.  This research provides a practical comparison of classification models utilising open-access radar data and establishes a dependable pipeline for pixel-level flood identification.
Co-Authors A. Rahman AA Sudharmawan, AA Aan Sugiyanto Abdul Rakhman Abdurahman Abdurrahman Abu Hasan Aditya, M Rizky Vira Afifah, Luthfia Afiifa Aaliyah Maharani Agung, Muhammad Zakuan Ahmad Satrio Perdana Ahmad Taqwa Ahmad Taqwa Al Fatur Sayid Al-Kausar, Jefri Albertia Youlanda Alfarizal, Niksen Ali Nurdin Ali Nurdin Ali Nurdin Alquratu SeptriaPS, Annies Amperawan Amperawan Andry Meylani Angguna, Welan Mauli Anisah Fadhilah Aryanti Aryanti Asriyadi Asriyadi Asriyadi Asriyadi Aswarisman, Novie Rahmadani Auditra Faza Amira Az-zahra, Maudhy Banu Putri Pratiwi Br Ginting, Nurul Devani Btari Puspa Yahya C. Ciksadan Carlos R Sitompul Carlos RS Ciksadan Ciksadan Ciksadan Ciksadan Ciksadan, Ciksadan Clara Silvia Rotua Aritonang Destra Andika Destra Andika Pratama Devi Indah Pujiana Devi Wahyuni Dewi, Tresna Dody Novriansyah DWI RAMADHANI Dzikrillah, Muhammad Ekawati Prihatini Ekawati Prihatini Elisa Islami Putri Ella Rosita Emilia Hesti Endri, Jon Endri, Jon Enri, Jon Evelina Evelina Evelina Evelina Evelina, Evelina Faisal Damsi Farid Jatri Abiyyu Faris, Fakhri Al Farozi, Ahmad Felia, Okta Felisia Talitha Aprilia Firdaus Firdaus Ghina Maysya Ayu Hani Marta Putri Harlasyanti, Dewi Ekha Hertani Indah Lestari Hetty Meileni Hj. Lindawati Husni, Nyayu Latifah Ibnu Ziad, Ibnu Ihsan Mustaqiim Inayah, Cantika Tri Irawan Hadi Irawan Hadi Irdayanti, Yeni Irma Salamah Irsyadi Yani Iryadi Yani Iryadi Yani, Iryadi Iskandar Lutfi Jon Endri Kaila, Afifah Syifah Kinasih, Ayu Antika Sekar Leni Novianti Linda Wati Lindawati Lindawati M Arief Rahman M Arief Rahman M Lutfi Kurniawan M. Ardiansyah M. Ilham Akbar M. Sobri Maharani, Ullya Dwi Mardiani, Mega Marieska Lupikawaty Martinus Mujur Rose Masayu Anisah Medina Nadila Prima Putri Mega Hasanul Huda Meranda, Arganda Meutia Deli Rachmawati Mieska Despitasari Moh. Heri Kurniawan Mohammad Fadhli Msy Aulia Hasanah Muhamad Rizki Harahap Nabiel Arinaullah Nabila, Puspita Aliya Nasron Nasron Nasron Nasron Nofriyanti, Duwi Novriansyah, Dody Nur Agustini Nur Hopipah Nurhajar Anugraha Nyanyu Latifah Husni Nyayu Latifah Nyayu Latifah Husni Nyayu Latifah Husni Nyayu Latifah Husni Nyayu Latifah Husni Nyayu Latifah Husni, Nyayu Latifah Oktariani, Clara Permata Sari, Mira Permatasari, Rosmalinda Plowerita, Sanyyah Pratama, Destra Andika Prihatini, Ekawati Putra, Muhammad Rizki Ganda Putra, Yogie Dwi Putri, Amanda Kanaya Rahman, M Arief Rahman, M. Arief Rakhman, M Arief Rakhman, M.Arief Rasyad, Sabilal Riska Handayani Riswal Hanafi Siregar Rivaldo Arviando Rizkiyanti, Shally Rizky Vira Robi Robi Rosita, Ella Rossi Passarella Rumiasih Rumiasih Rumiasih Rumiasih Rumiasih Rumiasih Sabilal Rasyad Sabilal Rasyad Safitri, Rahmi Dian Salsabillah, Farhah Sanyyah Plowerita Sarjana Sarjana Sarjana, Sarjana Sehatiningsih, Ambar Selamat Muslimin Sinaga, Putri Sitangsu Sitangsu Siti Chodijah Siti Nurmaini Sitompul, Carlos R Sobri, M. Sopian Soim Sopian Soim Sopian Soim, Sopian Sri Chodidjah Sugiyanto, Aan Suroso Suroso Suroso Suroso Suroso Suroso suzan zefi Syauqiyah, Khansa Ghazalah Taqwa, Ing Ahmad Tarmidi Tarmidi Theresia Enim Agusdi Tresna Dewi Tresna Dewi Ulandari, Monica Wahyu Caesarendra Wahyu Caesarendra Widya, Afni Rara Wildan Putra Pratama Wirayudha, Ikhwan Adhi Yani, Iryadi Yeni Irdayanti Yudi Wijanarko