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Seri Informatika Jurnal Organisasi Dan Manajemen Jurnal Laut Khatulistiwa Jurnal Ulul Albab Scientific Journal of Reflection : Economic, Accounting, Management and Business SEIKO : Journal of Management & Business Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Kebijakan Perikanan Indonesia Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Patria Artha Technological Journal Jurnal Kreativitas PKM Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JURNAL AGRICA Jurnal Rekayasa Hijau Dewa Ruci : Jurnal Pengkajian dan Penciptaan Seni Gelar : Jurnal Seni Budaya JTP - Jurnal Teknologi Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Sehat Mandiri EDUMATIC: Jurnal Pendidikan Informatika Journal Of Management Science (JMAS) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Jurnal Review Pendidikan dan Pengajaran (JRPP) Poltekita : Jurnal Ilmu Kesehatan Social, Humanities, and Educational Studies (SHEs): Conference Series Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Syntax Idea Indonesian Journal of Business Intelligence (IJUBI) Diligentia: Journal of Theology and Christian Education Titian: Jurnal Ilmu Humaniora Agro Bali: Agricultural Journal Jurnal Vokasi Community Engagement and Emergence Journal (CEEJ) Management Studies and Entrepreneurship Journal (MSEJ) JURNAL SeMaRaK Jurnal Industri Kreatif dan Kewirausahaan Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) JURNAL ABDIMAS TRIDHARMA MANAJEMEN Tax Literacy and Leadership Agility: Indigenous Peoples Awareness in Paying Taxes Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Perak Malahayati : Pengabdian Kepada Masyarakat Jurnal Abdimas Bina Bangsa Jurnal Pengabdian Masyarakat Nusantara Jurnal Agristan Jurnal Ekonomi Humantech : Jurnal Ilmiah Multidisiplin Indonesia Indonesian Journal of Health Science Indonesian Collaboration Journal of Community Services (ICJCS) Prosiding Konferensi Nasional PKM-CSR Jurnal Ilmiah Management Agribisnis (Jimanggis) TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Tameh : Journal of Civil Engineering Jurnal Pengabdian Masyarakat Tjut Nyak Dhien Jurnal Akuntansi, Keuangan dan Teknologi Informasi Akuntansi Jurnal Pengabdian dan Pengembangan Masyarakat Indonesia Asian Journal of Healthcare Analytics CONSEN: Indonesian Journal of Community Services and Engagement Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia International Journal of Educational Research Excellence (IJERE) Journal of Artificial Intelligence and Digital Business Jurnal Smart Hukum (JSH) Experimental Student Experiences TELL - US JOURNAL Jurnal Kebidanan, Keperawatan dan Kesehatan (J-BIKES) Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bangsa Jurnal Manajemen Sistem Informasi Jurnal Pelangi Linguistika Kultura: Jurnal Linguistik Sastra Berdimensi Cultural Studies ISLAMICA : Jurnal Ilmu-Ilmu Agama Islam Jurnal Ilmiah Multidisiplin Indonesia JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Edukasi Pengabdian Masyarakat: EDUABDIMAS Mawaddah: Jurnal Hukum Keluarga Islam Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Community Services: Sustainability and Empowerment Jurnal Menara Pengabmas Jurnal Kesehatan Lingkungan Mandiri Jurnal Keadaban: Jurnal Sosial dan Humaniora Jurnal Wasatiyah: Jurnal Hukum JTPPm (Jurnal Teknologi Pendidikan dan Pembelajaran) : Edutech and Intructional Research Journal Jurnal Pengabdian Kepada Masyarakat Kalam CSRID Masile:Jurnal Studi Ilmu Keislaman Media Penelitian dan Pengembangan Kesehatan Jurnal Manajemen, Akuntansi dan Rumpun Ilmu Ekonomi (MAR-Ekonomi) Jurnal Cendekia Ilmiah Jurnal Ekonomi, Manajemen, Akuntansi Elementary Education Research Sahur Journal JIM Sendratasik Indonesian Journal of Teacher Education Indonesian Journal of Health and Medical Education
Lindawati Lindawati
Program Studi Kepemerintahan, Fakultas Ilmu Sosial dan Ilmu Politik Universitas Medan Area
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Visual ethnography of the Aneuk Jamee bridal chamber as an effort to preserve cultural products in Tapak Tuan, Aceh Province Lindawati, Lindawati; Bakhir , Norfarizah Mohd; Ismawan, Ismawan; Ramdiana , Ramdiana
Dewa Ruci: Jurnal Pengkajian dan Penciptaan Seni Vol. 19 No. 1 (2024)
Publisher : Pascasarjana Institut Seni Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33153/dewaruci.v19i1.5504

Abstract

This article investigates the bridal chamber aisle of the Aneuk Jamee tribe in Tapaktuan District which is rarely used by the community. This aisle is one of the visual cultural products that need to be preserved. The research uses a visual ethnography approach. Visual ethnography provides a new way of revealing, describing, and analyzing cultural products and human experiences. Data were obtained through interviews, observation, and documentation. Data analysis was carried out by visual ethnography analysis. The results of the study found that, bridal room aisles are rarely used by the Aneuk Jamee tribe due to the times where many aisle businesses offer more modern bridal room decorations and the lack of government role in maintaining the use of bridal room aisles. The visual form of the bridal room aisle has its own characteristics and meaning. With this article, it is hoped that people can find out the parts and meanings contained in the bridal aisle of the Aneuk Jamee tribe. These meanings become the basis for contemplating actions to maintain the continuity of tradition in the face of growing innovation.
Health Education on Family Knowledge and Decisions in Efforts to Prevent COVID-19 Lindawati, Lindawati; Wasludin, Wasludin; Fadmawati, Any
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 3 (2023): November
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i3.2793

Abstract

Public knowledge and awareness about COVID-19 are essential in efforts to prevent the spread of COVID-19. Respiratory tract infections that cause mild to severe symptoms range from patients recovering after one week to acute respiratory distress syndrome (ARDS), sepsis, and septic shock, as well as multi-organ failure, including acute kidney or heart failure. The family has a vital role in maintaining health by increasing knowledge, which will ultimately influence the family in making the right decisions in dealing with COVID-19. The study aimed to determine the effect of health education on COVID-19 on family knowledge and decision-making ability. The design of this study was a quasi-experimental group in 2 groups; the intervention and control groups were 25 people each. The test used is the dependent t-test in each group, which is 5%. The results of the study of knowledge in the intervention group obtained a p-value of 0.008 <0.05, and decision-making obtained a p-value of 0.000 <0.05. The results of the analysis show that there is an effect of health education on knowledge. While the knowledge variable in the control group had a p-value of 0.0952 > 0.05, The decision-making variable obtained a p-value of 0.000 < 0.05. Health education can improve health by increasing knowledge and decision-making about health behavior in dealing with COVID-19 disease.
Development of Convolutional Neural Network Models to Improve Facial Expression Recognition Accuracy Fatimatuzzahra, Fatimatuzzahra; Lindawati, Lindawati; Soim, Sopian
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 2 (2024): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i2.28863

Abstract

Advancements in information and computer technology, particularly in machine learning, have significantly alleviated human tasks. One of the current primary focuses is facial expression recognition using deep learning methods such as Convolutional Neural Network (CNN). Complex models like CNNs often encounter issues such as gradient vanishing and overfitting. This study aims to enhance the accuracy of CNN models in facial expression recognition by incorporating additional convolutional layers, dropout layers, and optimizing hyperparameters using Grid Search. The research utilizes the FER2013 public dataset sourced from the Kaggle website, trained and evaluated using CNN models, hyperparameter tuning, and downsampling methods. FER2013 comprises thousands of facial images representing various human expressions, with a specific focus on four facial expression categories (angry, happy, neutral, and sad). Through the addition of convolutional and dropout layers, as well as hyperparameter optimization, the developed model demonstrates a significant improvement in accuracy. Findings reveal that the refined CNN model achieves a highest accuracy of 98.89%, with testing accuracy at 89%, precision 78%, recall 78%, and F1-score 78%. This research contributes by enhancing facial expression recognition accuracy through optimized CNN models and providing a framework beneficial for the social-emotional development of children with special needs and aiding in the detection of mental health conditions. Additionally, it identifies avenues for future research, including exploring advanced data augmentation techniques and integrating multimodal information. Furthermore, this study paves the way for applications across diverse fields like human-computer interaction and mental health diagnostics.
Pengaruh Angin Terhadap Tata Letak dan Jumlah Sekrup Konstruksi Baja Ringan Berdasarkan SNI-7971- 2013 Syahbana, Mahdi; Agustiar, Agustiar; Lindawati, Lindawati
Tameh Vol. 10 No. 2 (2021): Tameh: Journal of Civil Engineering
Publisher : University of Muhammadiyah Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37598/tameh.v10i2.166

Abstract

Light weight steel material has experienced rapid development in the construction. However, there are still many costruction failures on light weight steel, resulting in cost loss. The failure of light steel structures often occurs at the connections. The connection tool on milld steel is usually using a self-drilling screw. The research location is at Aceh One Stop Integrated Service and Investment Service Building (DPMPTSP) Aceh. The problem in this study is the placement and number of screws on the lightweight steel roof structure in the field which is carried out for each member according to the code, and the effect of wind load on the placement and number of screws on the lightweight steel roof structure. This study aims to determine the effect of the placement and number of screws on the lightweight steel roof structure. The scope of this research of problems including the placement and number of screws on the lightweight steel roof structure. The standars used in the design of light steel structures in this study is SNI 7971 2013 and the loading planning standars using SNI 03 1727 1989. Calculation steps using the LRFD method for steel structure design regulated in SNI 03 1729 2002. Based on the results, it is obtained that the number and placement of the screws in the field are different from those obtained in the calculation. From the calculations, it is obtained from the recapitulation, dead loads with a maximum value of 123.07 kg, live loads with a maximum load of 30.1 6 kg, and for compressed air and suction loads with a maximum load of 180 kg. the maximum design force value is 1241.33 kg and the screws bearing resistance value is 256.752 kg. the number of screws is obtained where the the value of the design force is divided by the value of the bearing resistance, on each member obtained 1screw, 2 screws, 3 screws, 4 screws, and 5 screws. Whilst it is found for each member in the field using 3 screws.
IMPLEMENTATION OF DEEP LEARNING FOR DETECTING PHISHING ATTACKS ON WEBSITES WITH COMBINATION OF CNN AND LSTM Raihan, Ahmad; Fadhli, Mohammad; Lindawati, Lindawati
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.2446

Abstract

Phishing attacks represent significant cyber threats to internet users, particularly on websites. These attacks are conducted by perpetrators seeking to acquire victims' data by impersonating legitimate websites. To address this threat, a solution is proposed using deep learning with a combined algorithm of convolutional neural network and long short-term memory. The research methodology included data collection comprising phishing and legitimate website links, pre-processing through tokenization, padding, and labeling, and splitting data into training and testing sets. The models were then trained, and grid search was employed to identify the optimal hyperparameters for each algorithm. The algorithm’s performance was calculated by accuracy, precision, recall, and F1-score metrics. The outcomes indicated that using the combination algorithm achieved 95.63% accuracy, 94.60% precision, 96.81% recall, and 95.78% f1-score. This paper concludes the proposed algorithm is effective in detecting phishing attacks on websites.
Implementasi NodeMCU Esp8266 pada Alat Pelacak Kendaraan Menggunakan Global Positioning System dan MiFi Berbasis IoT Lestari, Khotifah Puji; Lindawati, Lindawati; Sholihin, Sholihin
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 2 (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

The vehicle tracking device employs Global Positioning System (GPS) and MiFi-based Internet of Things (IoT) technology and is supplied with security features by the Kodular-developed GPS Tracker application. The implementation consists of a system that combines GPS, MiFi, and IoT technologies to monitor the vehicle's position using coordinate points on a periodic basis. The incorporation of Internet connectivity into a vehicle ensures optimal system performance, which can be monitored using the NodeMCU ESP8266 microcontroller module. In this research, a tracking device was designed using a microcontroller and a smartphone application. The implementation of IoT facilitates device-to-smartphone application for communication. Consequently, based on the design outcomes, motor vehicles are able to determine their position and regulate the passage of electricity to the engine using a relay. This application enables remote monitoring and control of the vehicle's functions by the smartphone application, providing a practical and effective solution for vehicle tracking. The testing results include various distances used to compare the longitude and latitude of the coordinate points, resulting in accurate monitoring system outcomes and facilitating vehicle inspections if it is stolen or under certain conditions.
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
Perancangan Alat Latihan Tinju Pengukur Jumlah Pukulan dan Kekuatan Pukulan Berbasis Internet of Things (IoT) Alliya, Annisa Ul; Lindawati, Lindawati; Susanti, Eka
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (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.v7i3.42001

Abstract

Maintaining physical health is crucial, and one way to achieve this is through regular exercise. Boxing is a suitable choice as it not only helps maintain fitness but also serves as self-defense, relying on punching skills. Previously, a device was developed to measure kick strength, but its results were only accessible via a localhost web interface, limiting access from other devices. This study aims to design a device for measuring the quantity and strength of punches in boxing, accessible anywhere via the internet. The device utilizes piezoelectric sensors with a web interface for measurement. In addition to piezoelectric sensors, it incorporates Arduino Mega, LCD, and ESP32. Sensor accuracy testing showed an average error rate 5.09% and 0% data transmission failure. Over 60 seconds in 30 trials, an average of 90 punches were recorded with an average punch strength of 800.
Disparities in Consumer Preferences for Procuring Vegetables Between Traditional and Modern Markets Zulfida, Ida; Siregar, Nur Mawaddah; Darus, Mozard Bahauddin; Lindawati, Lindawati
Agro Bali : Agricultural Journal Vol 8, No 1 (2025)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v8i1.2160

Abstract

Consumer preferences for vegetables reflect the decision to buy them in traditional vs contemporary marketplaces, impacted by several circumstances. This article analyzes the impact of pricing, product quality, product completeness, facilities, and services on vegetable purchasing in modern and traditional marketplaces, utilizing the Structural Equation Modeling (SEM) approach within the Smart-PLS 4.0 program. The research utilized primary data collected from 96 participants across six modern and traditional marketplaces in Medan City. The findings of this study reveal disparities in the factors influencing traditional and modern marketplaces. In conventional marketplaces, price, product variety, and service substantially influence customer preferences for vegetables, although product quality and amenities do not significantly impact these choices. In contemporary marketplaces, product quality, facilities, and services substantially influence customer preferences for purchasing vegetables, although price and product completeness have no major impact on these choices. Affordability, product comprehensiveness, and service quality are essential considerations for consumers shopping in traditional marketplaces. This component must be sustained to be competitive in contemporary markets. Moreover, amenities are a crucial issue to consider for the coexistence of traditional markets alongside modern marketplaces. 
Multi-aspect Analysis of Rice Sustainability in the Improvement of Rice Production in North Sumatra Province, Indonesia Lindawati, Lindawati; Zulfida, Ida; Nasution, Siti Khadijah Hidayati; Handayani, Sri
Agro Bali : Agricultural Journal Vol 7, No 2 (2024)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v7i2.1741

Abstract

North Sumatra's food security highly depends on rice supply from rice fields in rice-producing districts, namely Deli Serdang, Serdang Bedagai and Simalungun. The decrease in rice field area impacts the North Sumatra region's rice supply. This research aims to analyze the sustainability status and sensitive factors that cause the sustainability of rice fields based on economic, ecological, social, technological, legal, and institutional dimensions using Multi-aspect Sustainability Analysis software. The research results show that, in aggregate, the sustainability of rice fields is in the quite good category with a score of 62. Apart from the less sustainable economic aspect with a score of 59.09, there are four other aspects, such as environmental, social, infrastructure and technology, laws and regulations, and institutions, declared sustainable with a score greater than 62. The research also found 15 sensitive key factors that can improve the sustainability status of rice fields in North Sumatra to become very sustainable
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 Afiani, Nina 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 Asmaul Husna Asriyadi Asriyadi Astari, Devina Atminingsih Atminingsih, Atminingsih Audina, Reka Aulia, Hayatun Novi Aulia, Muhammad Rafi Awalia Gusti Awaluddin Awaluddin Az-zahra, Maudhy Azizah, Nur Putri Azwandi Azwandi Azzahra, Siti Baehaqi Bakhir , Norfarizah Mohd Bambang Pratama, Bambang Baso Intang Sappaile, Baso Intang Bunyamin Bunyamin Buulolo, Merlinus Chairunnisaak, Mariam Cucu Atikah Cut Rahmawati Cut Zuriana Dahrizal Dahrizal Damiati, Tri Darus, Mozard Bahauddin Darwel, Darwel Deddy Junaedi Deswita, Fadillah Sari Dewi Maya Sari Dharmalau, Andy Didit Haryadi Dina Mayadiana Suwarma Edwin, Vebby Amellia 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, Yuli Fadhli, Mohammad Fadli Wibowo, M. Rizka 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 Gunawan Gunawan 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 Iin Rosini 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 Joline, Juliana Jonathan Ginting juliana, Nanin Kartika Sari, Enda 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 Maymun, Muhammad Mediana, Salwa Deta Meliyana Meliyana, Meliyana Mirdayanti, Rina Monika, Sinar Monika, Sinar Mu'arif, Syamsul Muchlis, Yusrizal Muhammad Alwi Muhammad Faisal Muhammad Iqbal 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 Nurul Wardani Lubis Nurwijayanti Onasis, Aidil Palawi, Ari Palin T, Yona Paryanto, Alfin Dwi Ponimin Pratiwi, Sandy Pujianto Pujianto Purba, Mas Intan Purnamarini, Tri Ratna Putri Vandalis, Yoke Annisa Putri, Wulandari Cahyani Rabbani, Ali Rabbaniansyah, Kgs Muhammad Farhan Rabiah, Nur Nabila Radifan, Hadyan Hilman RADITE TISTAMA Rahayu, Novianti Dwi 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 Riviwanto, Muchsin Riviwanto, Muchsin` Riyana Husna Rizka Fadli Wibowo, M. Roiyan, Lalu Muhammad Rudiyanto Rudiyanto, Rudiyanto Rufi'i Rukiyanto Rukiyanto, Rukiyanto Safitry, Yuwaffy Safriyani, Lia Saharani, Saharani Saipul, Saipul Salsabila, Meidita Salsabila, Raina Saptanto, Subhechanis Saptanto, Subhechanis Sarhindi, Sarhindi Sari Wardani Sari, Fadillah Deswita Sari, Rani Purnama Sarjana Sarjana Sarjono Sarjono, Sarjono Sasrita, Bysmira Sepalanita, Widya 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 Sri Wahyuningsih 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 T. Sabrina 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 Umi Salamah Ummir, Badril Utami, Futri UTAMI, FUTRI Valerie, Michelle Viviani, Viviani Wahdah Wahyudin, Mokhammad wahyudin, mukhammad Wardani, Happy Kusuma Wardani, Sari Wasludin, Wasludin Welly, Welly 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 Zakka, Iqlima Sabila Zamakhari, Ahmad Zardi, Muhammad Zulprianto Zulprianto