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Lindawati Lindawati
Program Studi Kepemerintahan, Fakultas Ilmu Sosial dan Ilmu Politik Universitas Medan Area
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Pengembangan Algoritma Convolutional Neural Networks (CNN) untuk Klasifikasi Objek dalam Gambar Sampah Putri Vandalis, Yoke Annisa; Soim, Sopian; Lindawati, Lindawati
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5585

Abstract

Waste is a serious issue facing the world today, with increasing human activity and global economic growth. One important step in waste management is the classification process, which aims to separate types of waste based on their characteristics so they can be recycled, processed, or disposed of properly. Previous research has shown that Convolutional Neural Networks (CNN) are effective algorithms for multi-class classification. Therefore, this study develops an optimized CNN model for automatic waste classification, with a primary focus on improving accuracy through modifications to the CNN architecture. The dataset used consists of 17,366 waste images from various sources, which are then divided into training and testing data after undergoing preprocessing to ensure good data quality before training the model. However, one of the main challenges in developing a CNN model for multi-class classification is the risk of difficulty in learning class features, especially when the model is faced with too many classes. To address this issue, this study implements a strategy by adding convolutional layers to the CNN architecture. This method aims to deepen the network to capture more complex features from the given data, which in turn can improve the model's generalization to new data. Evaluation results show that the modified CNN model achieved a training accuracy of 88% after 40 epochs, with a testing accuracy of around 83%. This research not only contributes to the development of more advanced automatic waste classification technology but also provides a strong foundation for further research in this field. With increased waste management effectiveness, it is hoped to have a positive impact on the environment and public health as a whole..
Analisis Deteksi Mata Kantuk Di Wajah Pengemudi Menggunakan Support Vector Machine (SVM) Berbasis Citra Real-Time Maharani, Ullya Dwi; Handayani, Ade Silvia; Lindawati, Lindawati
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5701

Abstract

Traffic accidents in Indonesia are a serious issue with a high number of fatalities, and one of the main causes is microsleep, which is a brief moment of sleep while driving. To address this problem, this research has developed a sleePIness detection system based on the Internet of Things (IoT) using a Raspberry PI and a webcam, utilizing the Support Vector Machine (SVM) algorithm. The system is designed to detect the driver’s eye condition and provide a warning through a buzzer if the eyes are closed for more than 3 seconds. The research results indicate that the SVM model with a polynomial kernel has a training accuracy of 85.04%, demonstrating its ability to classify eye data into "opened" and "closed" categories. Evaluation with various SVM kernels, including linear, radial basis function (RBF), and polynomial, shows that the polynomial kernel performs the best with an accuracy of 85%, precision of 86%, and recall of 85% in detecting closed eyes. Although the system is effective in real-time detection of driver sleePIness, challenges remain with lighting conditions and camera positioning. Further testing is needed to improve the reliability and accuracy of the system in various situations. By providing early warnings to drivers, this system has significant potential to enhance road safety and prevent accidents caused by drowsiness.
IMPLEMENTASI KONSEP DAN METODE PEMBELAJARAN SENI BUDAYA PADA DAYAH TERPADU SMA INSHAFUDDIN KOTA BANDA ACEH Nurlaili, Nurlaili; Lindawati, Lindawati; Hartati, Tengku
Pedagogik : Jurnal Ilmiah Pendidikan dan Pembelajaran Fakultas Tarbiyah Universitas Muhammadiyah Aceh Vol 10, No 1, April (2023)
Publisher : Fakultas Agama Islam Universitas Muhammadiyah Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37598/pjpp.v10i1, April.1580

Abstract

Metode pembelajaran merupakan bagian dari kurikulum yang dirancang untuk dilaksanakan oleh suatu lembaga pendidikan dalam menyelenggarakan pendidikan. Lembaga pendidikan dengan kurikulum berbasis Pendidikan Agama Islam (PAI) melaksanakan pembelajaran yang menggunakan metode pembelajaran berbasis Pendidikan Agama Islam pada semua mata pelajarannya, demikian pula pada mata pelajaran Seni Budaya yang merupakan salah satu mata pelajaran di sekolah. Penelitian ini dilakukan untuk mengkaji metode pembelajaran pada pelajaran seni budaya di Dayah Terpadu Inshafuddin Banda Aceh yang kurikulumnya dirancang berbasis Islami. Penelitian ini menggunakan metode deskriptif kualitatif melalui studi langsung dan observasi. Teknik pengumpulan data menggunakan observasi, wawancara, dan dokumentasi dengan validitas data menggunakan triangulasi dan proses analisis data meliputi tiga alur kegiatan sebagai satu sistem yaitu reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan metode pembelajaran seni budaya di SMA Dayah Terpadu Inshafuddin Banda Aceh menerapkan prinsip yang mengacu pada penerapan batasan pada materi praktik yang sesuai dengan kaidah Dayah dan menjunjung tinggi prinsip syariat Islam. Metode pembelajaran seni budaya secara garis besar hampir sama dengan pembelajaran yang dilaksanakan di sekolah umum, perbedaannya adalah batasan lingkup bahan ajar dan metode pemilahan kelas dalam praktik seni. Materi seni rupa hanya diperbolehkan menggambar ragam hias dan pemandangan alam, tidak diperbolehkan menggambar bentuk tubuh manusia dan hewan. Materi tari bermuatan praktik, siswa laki-laki diberi tugas menggambar, siswa perempuan diruang terpisah diberikan materi latihan tari yang memiliki nilai-nilai Islami seperti tari ratep meuseukat dan tari ratoeh jaroe. Dari seni musik, semua siswa hanya diperbolehkan memainkan musik tradisional rapai/rebana. Materi drama hanya memperbolehkan drama diajarkan dengan cerita islami.
Implementasi Algoritma Support Vector Machine (SVM) untuk Deteksi Banjir Frenica, Agnes; Lindawati, Lindawati; Soim, Sopian
Jurnal Inovtek Polbeng Seri Informatika Vol 8, No 2 (2023)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v8i2.3443

Abstract

Banjir merupakan bencana yang paling banyak terjadi pada tahun 2022 di Indonesia. Berdasarkan laporan Badan Nasional Penanggulangan Bencana (BNPB), jumlah bencana banjir setara 43,1% dari total kejadian bencana nasional sekitar 1.524 kejadian. Salah satu wilayah yang secara berulang terkena dampak banjir selama periode 2022 hingga 2023 adalah Sumatera Selatan sebanyak 99 kali. Dalam upaya penanggulangan masalah ini, teknologi machine learning dapat digunakan sebagai alat pendeteksi dan peringatan dini terhadap banjir, salah satunya Algoritma SVM. Dalam penelitian ini, kinerja berbagai kernel SVM dinilai, dan kernel dengan kinerja terbaik dipilih untuk digunakan dalam sistem deteksi banjir. Penelitian ini mengkategorikan status banjir dengan tiga label klasifikasi: "aman," "waspada," dan "bahaya". Dalam upaya membangun model prediksi status banjir, berbagai algoritma SVM seperti linear, polynomial, RBF, dan sigmoid diimplementasikan menggunakan dataset publik. Lalu akan diuji dengan alat deteksi banjir yang terdiri dari dari arduino uno, nodemcu, dan berbagai sensor seperti sensor ultrasonik, sensor debit air, sensor curah hujan, sensor suhu dan kelembaban. Evaluasi dilakukan melalui pengukuran akurasi, presisi, recall, F1-Score, kurva ROC, dan Cross-Validation. Hasil evaluasi menunjukkan bahwa model SVM dengan kernel polynomial terpilih sebagai model deteksi yang optimal dibandingkan dengan kernel lainnya. Model ini mencapai akurasi pelatihan dan pengujian sebesar 1.0, waktu pelatihan hanya 0.0012 detik, waktu prediksi 0.0002 detik, serta presisi, recall, dan F1-score sebesar 1.0. Selain itu, cross-validation juga mencapai 1.0 dalam mengklasifikasikan data banjir. Pengujian pada alat digunakan 131 data uji dengan hasil akurasi sebesar 1.0. Hasil klasifikasi dan data sensor disajikan melalui aplikasi Android, memudahkan dalam pemantauan banjir.
Prediksi Pengguna Broadband di Indonesia sampai Tahun 2024 Menggunakan Pemodelan Crisp-DM dengan Metode Decision Tree dan Algoritma ID3 Studi Kasus di BPS dan APJII Novianda, Nabila Rizqia; Soim, Sopian; Lindawati, Lindawati
Patria Artha Technological Journal Vol 5, No 2 (2021): Patria Artha Technological Journal
Publisher : Department of Electrical Engineering, University of Patria Artha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33857/patj.v5i2.453

Abstract

Indonesia is a country with a population of 270.20 million people recorded at the Central Statistics Agency in September 2020. Based on the International Telecommunication Union (ITU) reported, the United Nations (UN) body, the number of world internet users in 2018 was 3.9 billion, exceeding half the world's population. Today the position of the internet continues to be significant in social, economic, and political life in a globalized world. Every year the internet continues to influence human life. Therefore we need research on forecasting the number of broadband users in the future to find out the number of users will increase or decrease as well as planning for Indonesian broadband. This forecasting research uses, using a comparison, namely the double exponential smoothing method with two different alphas and two betas, then the single exponential smoothing method with two different alphas. The double exponential smoothing method with alpha 0.2 betas 0.4 with the result that the MAD, MSE, MAPE values are smaller than single exponential smoothing with the first part alpha 0.8 and the second part alpha 0.5 and smaller than the double method exponential smoothing with alpha 0.6 betas 0.2. After getting the best value from the double exponential smoothing forecasting method, the prediction process is continued using the decision tree method, namely the ID3 algorithm for decision making every year from 2000 to 2024 to expand bandwidth or by not expanding bandwidth with the result that there are 19 years to expand bandwidth and there are 6 years for the decision not to expand the bandwidth.
Aplikasi Inventarisasi Laboratorium Berbasis Web Menggunakan QR Code dan RFID di Laboratorium/Bengkel Teknik Telekomunikasi Rabiah, Nur Nabila; Lindawati, Lindawati; Sarjana, Sarjana
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11624

Abstract

State Polytechnic of Sriwijaya is one of the universities that organize vocational education in Indonesia, by having a variety of laboratories to support its education. One of them is the Laboratory of Telecommunication Engineering Study Program, which has assets in the form of equipment/instruments used by its students to carry out practical activities based on predetermined courses. However, the current borrowing equipment system in the laboratory still uses a manual system, where students are required to fill out a loan form provided by the laboratory technician. In this case, the use of website-based applications as a medium for stock information and lending activities is expected to be an alternative in the inventory process. The prototype method is used in application development. Web-based applications are designed using the Laravel framework. After testing using a black box, it shows that all the functionality of the application system that has been designed runs properly and well. From the test results, the QR Code and RFID can display the scan results in the application quickly. A web-based inventory application with QR Code and RFID technology can assist in monitoring inventory and the process of borrowing equipment in the Telecommunication Engineering Study Program laboratory.
Optimasi Pertumbuhan Jamur Tiram Melalui Monitoring Suhu dan Kelembaban Menggunakan Teknologi IoT Arsella, Shendy; Fadhli, Mohammad; Lindawati, Lindawati
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 6 No. 1 (2023): Jurnal RESISTOR Edisi April 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v6i1.1405

Abstract

Kajian ini tentang sistem cerdas berbasis Internet of Things (IoT) yang dikembangkan untuk meningkatkan efisiensi dan efektifitas budidaya jamur tiram melalui pengawasan suhu dan kelembaban. Melalui perangkat ini, upaya pengendalian lingkungan pertumbuhan jamur tiram dapat dioptimalkan dengan mengintegrasikan sensor suhu dan kelembapan, mikrokontroler, dan aplikasi Blynk. Perangkat mampu menjaga kelembaban dalam kisaran yang diinginkan, yaitu antara 70% hingga 90% selama percobaan selama 10 hari. Hasil percobaan menunjukkan peningkatan hasil panen jamur tiram. Notifikasi secara real-time pada LCD dan aplikasi Blynk memastikan kondisi lingkungan yang tepat untuk pertumbuhan jamur tiram secara optimal. Teknologi IoT terbukti sebagai solusi yang efektif dalam meningkatkan kualitas budidaya jamur tiram.
Naive Bayes Algorithm and TF-IDF for Detecting Plagiarism in Journal Articles Azzahrah, Ladysa; Lindawati, Lindawati; Sholihin, Sholihin
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

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

Abstract

This study examines the implementation of a combination of Naïve Bayes, TF-IDF, and cosine similarity algorithms in detecting plagiarism in journal articles. Technological advances have increased the risk of plagiarism, which poses a serious threat to the integrity of science. The purpose of this study is to explain in detail the implementation of the algorithm to detect plagiarism, as well as measure the effectiveness of its combination. The method used involves the development of a Python-based system that is implemented through a website. The dataset consists of one hundred abstracts of Indonesian-language journal articles on the Internet of Things (IoT) taken from Mendeley software. The plagiarism limit is set at a maximum threshold of 20%. Implementation is carried out through data preprocessing stages, extraction of text features using a combination of Naïve Bayes and TF-IDF, and measurement of similarity with cosine similarity. The results show that this combination of algorithms has proven to be effective in detecting plagiarism rates in journal article abstracts, providing high accuracy in measuring text similarity. The developed system is able to better extract text features through the combination of Naïve Bayes and TF-IDF, and accurately measure the similarity of text in various test scenarios. This research contributes to the development of fast and accurate plagiarism detection technology, especially in fields that require complex text analysis.
Utilization of MQTT and Radio GPS in Pet Monitoring Lindawati, Lindawati; Sarjana, Sarjana; Agatha, Adelia
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 1 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i1.765

Abstract

This research presents an effective and efficient solution for tracking pets using Message Queuing Telemetry Transport (MQTT) based on radio GPS. The study creates a device and application capable of monitoring the whereabouts of pets to prevent their loss by displaying the latitude and longitude of the pet's location. This application provides real-time monitoring and exhibits high accuracy, with minimal differences in latitude and longitude compared to both animal tracking applications and Google Maps. The application's update speed is also impressive, with a delay of only 4.25 seconds. By continuously developing and enhancing this technology, it is expected to provide broader benefits to the pet-loving community.
Design of An Internet of Things-Based Intelligent Cutlery Cleaning Tool Lindawati, Lindawati; Salamah, Irma; Astari, Devina
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 1 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i1.792

Abstract

Technology that continues to develop has given rise to many new technologies that help humans work; one example is washing dishes. Because this work is quite time-consuming, it created an automatic dishwasher based on the Internet of Things (IoT). This tool aims to build a tool that can help homemakers complete one of their homework, namely washing tableware. This research was conducted by making a prototype design using Arduino Mega 2560 and NodeMCU and supported by Android applications using the XML programming language. In the application, there are control and monitoring features. The control feature in the application will control the number of rounds of water used, while the monitoring feature is used to monitor the water discharge used during washing. In addition, this tool also uses Firebase as a database used to store data. By incorporating sensors and technology into this appliance, a more efficient, programmable, and customized washing experience is possible. The appliance underwent 27 tests, with an overall success rate of 88,89%.
Co-Authors -, Angelina . Zulfan A Halim A. Fitriani Abdul Rahman Abdul Rakhman Abdul Rauf Abelia, Dinda Dwi Ade Silvia Handayani Adeliana, Adeliana Adelita Lubis, Adelita Adriani, Silfia Afdhal Afdhal Affrylia, Gita Afkar, Mufidul Afridayani, Afridayani Afridon, Afridon Agatha, Adelia Agustiar agustiar Ahmad Syai Ahmad Taqwa Ahmadin Ahmadin Ahmadin Akmalia, Alfi Alaisyi, Alaisyi Aldo, Ketut Alfharijy, Muhammad Daffa Alfiansyah, Ikhwan Alfiatun, Alfiatun Alfirdaus, Muhammad Farrel ali khaeri, imam Alliya, Annisa Ul Alvionita, Gusni Am, Zakiati Amalia Amalia Amelianda, Amelianda Amiza, Ibel Dwi Amri Amin Andi Andi Andila, Tria Anggraini, Anggun Anisah Ardelia, Naila Arifani, Rizka Arifin Soenggono, Arifin Arlinda, Sari ARMEN ZULHAM Arsella, Shendy Aryanti Aryanti Asep Irfan Ashabul Kahpi Asmaul Husna Asriyadi Asriyadi Asrul Asrul Astari, Devina Atminingsih Atminingsih, Atminingsih Audina, Reka Aulia, Muhammad Rafi Awalia Gusti Awaluddin Awaluddin Az-zahra, Maudhy Azizah, Nur Putri Azwandi Azwandi Azzahra, Siti Azzahrah, Ladysa Baehaqi Bakhir , Norfarizah Mohd Bambang Pratama, Bambang Baso Intang Sappaile, Baso Intang Bunyamin Bunyamin Chairunnisaak, Mariam Cucu Atikah Cut Rahmawati Cut Zuriana Damiati, Tri Darus, Mozard Bahauddin Darwel, Darwel Deddy Junaedi Dewi Maya Sari Dharmalau, Andy Diana Chalil Didit Haryadi Dina Mayadiana Suwarma Effendy, Amalia Efrianti, Rini Eka Pradani, Rizki Febri Eka Putri, Yuliantini Eka Susanti Eka Susanti, Eka Susanti Eko Sugiarto Elmerillia, Elmerillia Elvina, Aminah Enda Kartika Sari, Enda Kartika Enda, Enda Kartika Sari Endang Larasati Eri Yusni Ermawati Ermawati Ermawati, Yuli Fadhli, Mohammad Fadmawati, Ani Fadmawati, Any Fadmawaty, Any Faisal Ahmadi Fatani, Muhammad Fatimatuzzahra Fatimatuzzahra Febriani, Dina Fitra, Miladil Fitri Wardani, Erika Fitri, Aida Fitriadi, Nuzuli FITRIYANTI, RAMADHINA Frenica, Agnes Gameli, Cahyani Rahmi Garnita, Ria Ghodina, Aurina Willy Ghufran S., Mufti Miadi Ginanjar, Seandy Grenaldo Ginting Gusdi Sastra, Gusdi Hadir Hudiyanto, Hadir Hafsaridewi, Rani Hanah, Siti Handayani, Sri Hardi Siswo, Hardi Haryoso, Gunung Subagyo Anom Hasmawaty, Hasmawaty Hedra Bayu, Hendi Hesniati, Hesniati Hidayah, Hidayah Hidayat, Sholeh Hikmah Hikmah Holiawati, Holiawati HS, Alicia Husin, M. Husna, Ainul Ida Zulfida, Ida Iif Rahmat Fauzi, Iif Rahmat Ikhsan Yuda Pratama Indah Sari, Dewi Indawati, Indawati Iqbal Iqbal Iqmy, Ledy Oktaviani Irfan, Basuki Ario Seno Irma Salamah Irma Suryani Ironia Vivie Susanti, Ironia Vivie Ismawan Ismawan, Ismawan Iswanda, Odi Ivan Suaidi Iwan Setiawan Jaelani, Yunesti Jaifan, Muhammad Jamjuri, Endi Jamratul Ula Jannah, Syifaul Joey, Joey Jonathan Ginting juliana, Nanin Kenamon, Mardiah Khairunnisa Khairunnisa Khairunnisya, Aqilla Khie, Sak Komariah, Eneng Kurniasi, Dia Kurnita, Taat Lanza Pahlevi, Muhammad Lase, Yolanda Leni Marlina Lestari, Khotifah Puji Leuwol, Ferdinand Salomo Lili Dianah Lili Rahmah, Laylatul Lina Lina Linda Junia Ningsih Listiorini, Dewi Lucyana Lucyana, Lucyana Lukman Hakim M. Ridha Madiyoh, Abdulhakim Maharani, Ullya Dwi Mahaza Maisun, Maisun Maizal, Ilham Mamusung, Robby Tanod Mardiana, Dinny Mardikawati, Budi Margie, Lyandra Aisyah Marietta Shanti Marita, Tia Martianingsih, Baiq Lilik Martinus Mujur Rose Marur, Muhammad Marza, R. Firwandri Maulida, Putri Maulidin, Aula Maulin, Siti Maulisa, Ella Mayanda, Afrida Rizki Mediana, Salwa Deta Meliyana Meliyana, Meliyana Mirdayanti, Rina Monika, Sinar Monika, Sinar Mu'arif, Syamsul Muchlis, Yusrizal Muhammad Alwi Muhammad Faisal Muhammad Iqbal Muhammad Sarjan Muhtadin Muhtadin Mukhlis Mukhlis Mulyani, Riri Muniroh, Leny Muslim, Burhan Muslimah, Rina Mutaqin, Raihan Muthaharah, Muthaharah Mutmainnah Mutmainnah Na:am, Muh Fakhrihun Nadra, Nadra Nahdudin, Nahdudin Nasution, Siti Khadijah Hidayati NETTI KARIANI MENDOFA Ni'mawati, Ni'mawati Novarijah, Syarifah Novianda, Nabila Rizqi Novianda, Nabila Rizqia Noviani, Fadiah Nur, Erdi Nurfi, Nurfi Nurhajar Anugraha Nurhanifa, Nurhanifa Nurjihan, Nisrina Nurlaili Nurlaili Nursari, Nina Nurwijayanti Onasis, Aidil Palawi, Ari Palin T, Yona Paryanto, Alfin Dwi Ponimin Pratiwi, Sandy Pujianto Pujianto Purnamarini, Tri Ratna Putri Vandalis, Yoke Annisa Putri, Wulandari Cahyani Rabbani, Ali Rabbaniansyah, Kgs Muhammad Farhan Rabiah, Nur Nabila Radifan, Hadyan Hilman RADITE TISTAMA Rahmad Cahayadi Rahmanta Rahmanta, Rahmanta Rahmanta`, Rahmanta Rahmawati, Cut Raihan, Ahmad Raihanah, Adinda Rajes Ikhlas Rosaguna, Rajes Ikhlas Ramadhan, Andi Ramadhan, Muhammad Fadli Rangkuti, Agus Edy Ratna Novita Punggeti RD Kusumanto Reo, Petrus Renol Rida Safuan Selian Rina Herawati, Augustin Riswanto, Muhammad Riviwanto, Muchsin Riviwanto, Muchsin` Rizka Fadli Wibowo, M. Roiyan, Lalu Muhammad Rosini, Iin Rudiyanto Rudiyanto, Rudiyanto Rukiyanto Rukiyanto, Rukiyanto Safitry, Yuwaffy Safriyani, Lia Saharani, Saharani Salsabila, Meidita Salsabila, Raina Saptanto, Subhechanis Saptanto, Subhechanis Sarhindi, Sarhindi Sari Wardani Sari, Rani Purnama Sari, Tengku Dede Rachma Sarjana Sarjana Sarjono Sarjono, Sarjono Sasrita, Bysmira Septiana, Ardilla Septiani, Rizka Ayu Septina, Phuja Tawilla Sholihin Sholihin Silfia Silfia, Silfia Silviana, Mery Sipasulta, Grace Carol Siregar, Nur Mawaddah Siti Hawa Sitorus, Abdoni Sopian Soim, Sopian Sopian, Adi Sri Fajar Ayu Sri Wahyuni Suandari, Fitri Sufri, Rahmat Suksmerri Suksmerri Sume, Syahlan A. Sumilat, Rohyani Rigen Is Supadmi, Tri Suryani Suryani SURYANI, TRIA ANANDA Suyuti, Suyuti suzan zefi Syahardi, Amri Syahbana, Mahdi Syahril Syahril syakir syakir Syamsul Muarif Tavi Supriana Tengku Hartati Tengku Riza Zarzani N Tetep Tety Sriana Teuku Rizky Noviandy Tiurma, Tiurma Triani, Susi Trianov, Rilky Triasensi, Sherlya Tumilantouw, Kireina Gabriela Ul Karimah, Lulu Ummir, Badril Utami, Futri UTAMI, FUTRI Valerie, Michelle Viviani, Viviani Wahdah Wahyudin, Mokhammad wahyudin, mukhammad Wardani, Happy Kusuma Wardani, Sari Wasludin, Wasludin Wibowo, Rulianda P. Widianty, Anggie Wijayantono, Wijayantono Wilyuza, Wilyuza Witomo, Cornelia Mirwantini Wulandari, Fadhilah Dwi Wulandari, Widyana Wusqa, Asy Syifa Urwatul Yanti Yanti Yulianto Yulianto Yuliasari, Dewi Yusnita, Emilia Yusrizal Yusrizal Zakka, Iqlima Sabila Zamakhari, Ahmad Zardi, Muhammad Zulprianto Zulprianto