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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal F. Teknik : RESULTAN Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Jurnal Ilmiah FIFO Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Jurnal Mahasiswa Bina Insani Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) Jurnal Teknik Informatika STMIK Antar Bangsa Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Komtika (Komputasi dan Informatika) IKRA-ITH EKONOMIKA Jurnal ICT : Information Communication & Technology JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Kajian Ilmiah Jurnal Sistem Informasi Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Journal of Computer Science Contributions (Jucosco) Jurnal Komtika (Komputasi dan Informatika)
Herlawati Herlawati
Fakultas Ilmu Komputer, Universitas Bhayangkara Jakarta Raya
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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Optimasi Pendistribusian Barang Menggunakan Metode Stepping Stone dan Metode Modified Distribution (MODI) Herlawati Herlawati
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 1 No 1 (2016): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Desember 2016)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (544.505 KB)

Abstract

Abstrak: Sebuah perusahaan menginginkan biaya transportasi minimum ketika akan mendistibusikan barangnya dari suatu sumber ke suatu tujuan. Hal tersebut juga harus mempertimbangkan kapasitas barang dari sebuah perusahaan (sumber) dan permintaan barang dari tempat pemasaran (tujuan). Dalam penelitian ini menggunakan metode solusi awal yaitu metode sudut barat laut dan metode biaya terendah untuk perhitungannya, sedangkan untuk solusi optimalnya menggunakan metode batu loncatan dan metode modified distribution (MODI). Hasil dari penelitian ini diperoleh dengan menggunakan kedua metode tersebut diperoleh total biaya minimun yang sama, artinya jika kita menggunakan solusi awal metode sudut barat laut dan solusi optimalnya metode stepping stone hasil total biaya transportasi yang diperoleh akan sama dengan hasil total biaya transportasi yang dihitung menggunakan solusi awal metode biaya terendah dan solusi optimalnya metode modified distribution. Kata kunci: modified distribution, optimasi, stepping stone, transportasi Abstract: A company wants the minimum transportation cost will distribute the goods from a source to a destination. It should also consider the capacity of goods from a company (source) and the demand for goods from the market place (destination). In this study using an initial solution is a method northwest corner and the lowest cost method of calculation, while for the optimal solution using the modified method springboard and distribution (MODI). The results of this study were obtained using both methods are obtained total cost of minimum the same, meaning that if we use the initial solution method northwest corner and the solutions optimal method of stepping stone for the total cost of transportation obtained will be equal to the total transport costs are calculated using the solution early lowest cost method and optimal solution modified method of distribution. Keywords: modified distribution, optimization, stepping stone, transportation
PENERAPAN REST API MENGGUNAKAN RETROFIT UNTUK SISTEM INFORMASI FILM BERBASIS ANDROID (STUDI KASUS: SINOPSIS FILM) Robbie Christhover; Sugiyatno; Herlawati
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v3i2.1393

Abstract

Looking for film information is something that is often done before watching, but not infrequently many people waste time and money because the films they watch are not what they want, due to the lack of information on the films they want to watch. From this problem, the author proposes an application by implementing Rest Api Using Retrofit for an Android-Based Film Information System so that it can search for film synopsis, by utilizing an open-source API. The result of this research is an application that will provide information on the synopsis of the film you are looking for to watch. Keywords: Android, Film Information, Film Synopsis, Rest API, Retrofit   Abstrak Mencari Informasi Film merupakan hal yang sering dilakukan sebelum menonton, namun tak jarang juga banyak yang menghabisakan waktu dan uang karena film ditonton tidak sesuai dengan yang inginkan, karena kurangnya Informasi film yang diingin Ditonton. Dari permasalahan ini Peneliti Mengusulkan aplikasi dengan menerapkan Rest Api Menggunakan Retrofit Untuk Sistem Informasi Film Berbasis Android sehingga dapat melakukan pencarian Sinopsis film, dengan memanfaatkan API yang bersifat Open Source. Hasil dari penelitian ini adalah sebuah aplikasi yang akan memberikan informasi Sinopsis film yang dicari untuk ditonton. Kata kunci: Sinopsis Film, Rest API, Android, Informasi Film , Retrofit
Pendeteksian Wajah Bermasker Berbasis Android Menggunakan Algoritma Convolutional Neural Network (CNN) Daniel Jhon Rosinton Hutauruk; Herlawati Herlawati; Andy Achmad Hendharsetiawan
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v3i2.1693

Abstract

The masks are an effort that must be made in that is why spreading viruses covid-19 while doing suitable activities indoors and out of the room. In doing suitable activities indoors and out of space we should use a mask to reduce the spread of the virus and must abide by protocols covid-19 health must be implemented in various aspects of life. For that reason, a system that detects the use of a mask when you implement an activity whether to use a mask or not use masks. To perform work use masks can use algorithms convolutional neural networks assisted by graphic user interface (GUI) platform and using the internet of things. Input from algorithm convolutional neural network and using a platform of the internet of things. Input from algorithm convolutional neural network in the form of a picture consisting of 120 image data consisting of 60 image data not wearing masks and 60 image data wearing a mask. The result of this research can detect the mask 100 % according to input image data. Keywords: Computer Visions, Covid-19, Deep Learning, Face Detection, IoT    Abstrak Pemakaian masker merupakan sebuah upaya yang harus dilakukan dalam mengantispasi penyebaran virus Covid-19 saat melakukan sebuah aktivitas baik didalam ruangan maupun diluar ruangan. Dalam melakukan sebuah kegiatan baik didalam ruangan maupun diluar ruangan kita harus menggunakan masker agar mengurangi penyebaran virus Covid-19 serta wajib mematuhi protokol kesehatan yang wajib dilaksanakan dalam berbagai aspek kehidupan. Oleh karena itu, diperlukan sebuah sistem yang mendeteksi pemakaian masker saat seseorang melaksanakan sebuah kegiatan apakah menggunakan masker atau tidak menggunakan masker. Untuk melakukan pendeteksi masker dapat menggunakan algoritma convolutional neural network yang dibantu oleh Graphic User Interface (GUI) serta menggunakan platform Internet of Things. Masukan dari algoritma convolutional neural network berupa sebuah gambar yang terdiri dari 120 data gambar yang terdiri atas 60 data gambar yang tidak memakai masker dan 60 data gambar memakai masker. Hasil dari penelitian ini dapat mendeteksi pemakaian masker 100% sesuai dengan masukan data gambar. Kata kunci: Computer Visions, Covid-19, Deep Learning, Face Detection, IoT
Analisis Sentimen Mengenai Gangguan Bipolar Pada Twitter Menggunakan Algoritma Naïve Bayes Oriza Sativa Dinauni Silaen; Herlawati Herlawati; Rasim Rasim
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 2 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i2.8198

Abstract

Bipolar disorder is one of the world's most common mental health disorders. To find out public sentiment regarding bipolar disorder, sentiment analysis is carried out through social media to analyze positive or negative sentiments with the aim of maintaining positive sentiment towards the problem of bipolar disorder. Twitter is a social media that is often used to exchange information, discuss, and even express emotions. The emotions of Twitter users can be called sentiment. Sentiment analysis is also carried out to see opinions or tendencies towards an opinion. Opinion tendencies can be in the form of positive or negative sentiments. The data used in this study uses the bipolar keyword. There are 2177 tweets data that were successfully obtained in the crawling process using API key access from Twitter developers, after which the data will be processed using preprocessing. The comparison of the presentations obtained is 70.92% expressing a negative opinion and 29.08% expressing a favorable opinion. The analysis results in this study using the nave Bayes algorithm is with an accuracy value of 92.110092%.
Nutritional Status Classification of Toddlers Using K-Nearest Neighbor Algorithm Nur Amanda Pratiwi; Prima Dina Atika; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 2 (2022): September 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i2.5604

Abstract

Nutrition is important for the balance of the human body. Knowing the nutritional status is very important to realize the good and the quality human resources. Posyandu Parkit is one of the many Integrated Healthcare Center (posyandu) in Indonesia that provides health services for the community, one of which is monitoring and nutritional development of toddlers. However, the Posyandu Parkit in determining the nutritional status of toddlers is done manually; this method uses measurement parameters based on body weight (BB/U) which are less specific in showing the nutritional status of the toddler by matching manually with a reference standard table available in a healthy card (KMS). The purpose of this research is to produce a website that can determine the nutritional status of toddlers quickly and accurately. The system is designed using the K-Nearest Neighbor method which is a classification method. The K-Nearest Neighbor process is carried out by calculating the distance between the test data and the training data using the Euclidean distance formula, before sorting from the closest distance to the k-th order, then nutritional status is determined. The results of this study are a website that can determine the nutritional status of toddlers by applying the K-Nearest Neighbor algorithm with BB/U, TB/U, and BB/TB accuracies were 93.75%, 87.5%, and 93.75 %, respectively.
Web-Based Mail Search Using the Levenshtein Distance Algorithm Mayora Lolly Ishimora; Herlawati Herlawati; Sri Rejeki
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 2 (2022): September 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i2.5606

Abstract

The use of information technology in filing letters has been widely applied, especially in government institutions. In the Administrative Affairs of the Police Information Technology Bureau, the archiving of incoming and outgoing letters is still done manually, by utilizing records in a large agenda book and stored in a large folder. The absence of a system capable of assisting mail processing causes work to be inefficient, especially in terms of searching for letters. The purpose of this research is to produce a website that can help search letters by applying the Levenshtein Distance Algorithm. The design begins with needs analysis, design, implementation, verification (system testing), operation and maintenance. A website that can search letters by applying the Levenshtein Distance Algorithm was generated. This website is very helpful in the process of searching for letters to the Administrative Affairs of the Police Information Technology Bureau.
Penentuan Pola Frekuensi Jenis Perawatan Kecantikan Berbasis Web Menggunakan Algoritma Apriori (Studi Kasus: Peterson Salon Bekasi) Herlawati Herlawati; Rahmadya Trias Handayanto; Sri Rejeki; Wowon Priatna; Prima Dina Atika; Syahbaniar Rofiah; Endang Retnoningsih; Faisal Adi Saputra; Galih Apriansha Pradana
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v3i2.1381

Abstract

Currently, technology can affect services in any field, both in areas such as salon services and sales of clothing products. How to plan a marketing strategy using the web based on service transaction data and products that are most often chosen by customers. Therefore, an information system for determining frequency patterns is needed using the website-based Apriori Algorithm method. The results of research on salons based on the type of beauty treatment obtained for the type of treatment with a minimum confidence = 70%, the first confidence value is 63% if the customer chooses to wash (shampoo), the customer chooses scissors, the second the confidence value is 100%, if the customer chooses to blow then chooses also cut, and the third confidence value is 86% if the customer chooses creambath then the customer chooses to cut too. Meanwhile at the shop clothes determining the frequency pattern of types of clothes with a minimum value of confidence = 70% so that the results include if a customer buys a veil, the customer buys a robe with a confidence value of 71.43% and if a customer buys khimar then the customer will also buy a robe with a confidence value of 78, 57%. With these results salon and clothing store owners can determine marketing strategies by providing the right product and service recommendations to customers. Keywords: Apriori Algorithm, Beauty Care, Recommendations, Sales   Abstrak Saat ini teknologi dapat mempengaruhi pelayanan dalam bidang apapun seperti jasa salon maupun penjualan produk pakaian. Bagaimana merencanakan strategi pemasaran menggunakan web berdasarkan data transaksi layanan dan produk yang paling sering dipilih oleh pelanggan. Oleh karena itu dibutuhkan sistem informasi penentuan pola frekuensi menggunakan metode Algoritma Apriori berbasis website. Hasil penelitian pada salon berdasarkan jenis perawatan kecantikan diperoleh untuk jenis perawatan dengan minimum confidence=70% yang pertama nilai confidence sebesar 63% jika pelanggan memilih cuci (keramas) maka pelanggan memilih gunting, yang kedua nilai confidence sebesar 100% jika pelanggan memilih blow maka memilih digunting juga, dan yang ketiga nilai confidence 86% jika pelanggan memilih creambath maka pelanggan memilih digunting juga. Sedangkan pada toko pakaian penentuan pola frekuensi jenis baju dengan nilai minimum confidence= 70% sehingga mendapatkan hasil diantaranya jika pelanggan membeli kerudung maka pelanggan membeli gamis dengan nilai confidence sebesar 71,43%  dan  jika  pelanggan  membeli  khimar maka pelanggan juga akan membeli gamis dengan nilai confidence sebesar 78,57%. Dengan hasil tersebut pemilik salon dan toko pakaian dapat menentukan strategi pemasaran dengan memberikan rekomendasi jasa dan produk yang tepat kepada pelanggan. Kata kunci: Algoritma Apriori, Penjualan, Perawatan Kecantikan, Rekomendasi
Modification of SqueezeNet for Devices with Limited Computational Resources Rahmadya Trias Handayanto; Herlawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 1 (2023): February 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i1.4446

Abstract

In recent years, the computational approach has shifted from a statistical basis to deep neural network architectures which process the input without explicit knowledge that underlies the model. Many models with high accuracy have been proposed by training the datasets using high performance computing devices. However, only a few studies have examined its use on non-high-performance computers. In fact, most users, who are mostly researchers in certain fields (medical, geography, economics, etc.) sometimes need computers with limited computational resources to process datasets, from notebooks, personal computers, to mobile processor-based devices. This study proposes a basic model with good accuracy and can run lightly on the average computer so that it remains lightweight when used as a basis for advanced deep neural networks models, e.g., U-Net, SegNet, PSPNet, DeepLab, etc. Using several well-known basic methods as a baseline (SqueezeNet, ShuffleNet, GoogleNet, MobileNetV2, and ResNet), a model combining SqueezeNet with ResNet, termed Res-SqueezeNet, was formed. Testing results show that the proposed method has accuracy and inference time of 84.59% and 8.46 second, respectively, which has an accuracy of 2% higher than the SqueezeNet (82.53%) and is close to the accuracy of other baseline methods (from 84.93% to 0.88.01%) while still maintaining the inference speed (below nine second). In addition, residual part of the proposed method can be used to avoid vanishing gradient, hence, it can be implemented to solve more advanced problems which need a lot of layers, e.g., semantic segmentation, time-series prediction, etc.
Identification of Website-Based Product Sales Frequency Patterns using Apriori Algorithms and Eclat Algorithms at Rio Food in Bekasi Salwa Nabiila Pramuhesti; Herlawati Herlawati; Tyastuti Sri Lestari
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.5941

Abstract

Sales reports that are not managed automatically may hinder businesses from accurately determining their progress in the short or long term. With increasing community needs for a product, business owners have an opportunity to market their products to a larger audience. The abundance of data highlights the need for information to produce patterns that can be used as a reference for making decisions in buying products on the website. Data mining algorithms can provide support for analysis, which can help avoid inaccurate business progress reports. In this study, the Apriori and Eclat algorithms were applied to analyze frequent itemsets in association rule mining. The dataset used in this study consists of 20 transaction data from frozen food sales. The results showed that the combination of Nugget and Chicken Sausage itemsets were the most frequent, with higher support, confidence, and lift ratio values than the others. These results can be used as product recommendations that are most in demand by customers.
Pencarian Stasiun Kereta Terdekat dengan Algoritma A Star Berbasis Android di Area Stasiun Wilayah Bekasi Ikhsan Dwikurniawan; Herlawati .; Robertus Suraji
Jurnal ICT: Information Communication & Technology Vol. 21 No. 2 (2021): JICT-IKMI, Desember 2021
Publisher : LPPM STMIK IKMI Cirebon

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

Abstract

Transportasi telah menjadi salah satu kebutuhan yang sangat penting dalam kegiatan sehari-hari di kehidupan bermasyarakat. Kemajuan teknologi informasi yang ada saat ini, dapat digunakan sebagai sarana untuk meningkatkan pelayanan umum, salah satunya adalah di bidang perkeretaapian. Dengan adanya kemajuan teknologi informasi dapat memudahkan masyarakat untuk mengetahui informasi secara cepat dan mudah, tetapi masih ada beberapa kendala yaitu kurangnya informasi mengenai rute stasiun terdekat. Penelitian ini bertujuan untuk membuat aplikasi pencarian Stasiun terdekat berbasis android dengan rute terpendek menuju Stasiun tujuan dengan menggunakan Algoritma A-STAR. Algoritma A-STAR ialah algoritma yang mencari rute terpendek untuk mencapai tujuan yang diharapkan. Tahapannya yaitu 1) Memasukkan node awal ke open list. 2) Melakukan looping. 3) Simpan rute secara backward, urutkan mulai dari node goal ke parent-nya sampai ke node awal bersamaan menyimpan node-nya ke dalam sebuah array. Pada penelitian ini Stasiun Kranji, Stasiun Bekasi, Stasiun Bekasi Timur, Stasiun Tambun, Stasiun Cibitung, Stasiun Telaga Murni, Stasiun Cikarang. Pengujian pada penelitian ini dilakukan dengan pengujian black box testing dan pengujian perbandingan antara algoritma A-STAR dengan Google Map, hasilnya diperoleh menunjukan lebih banyak algoritma A-STAR berhasil dengan jarak terpendek, walaupun ada Algoritma A-STAR yang hasil sama dengan Google Maps, dan algoritma A-STAR ada juga yang menunjukkan jarak yang lebih jauh dibandingkan Google Maps
Co-Authors A.A. Ketut Agung Cahyawan W Abd Rohman Abdul Kholis Achmad Wira Wiguna Adam Adam Adam Fajariansyah Adi Muhajirin Adi Supriyatna admin admin Aera Santiana Agus Hidayat Agustin, Syafira Cessa Ajie Prasetya Ajif Yunizar Pratama Yusuf AlHakim, Abdu Malik Andy Achmad Hendharsetiawan Anggaini, Meri Anisa Feby Yana Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anton Anton Ardiansyah, Muhamad Arrasyid, Rizky Maulana Asmoro Bangun Priambodo Atika , Prima Dina Ayu Afidarisa Rahma Bangga Tua Siregar Bayu Andriansyah Ben Rahman Beno Aditya Sanusi Beno Aditya Sanusi Benrahman Bhagaskara Farhan Wiguna Binu Nuryadi Budi Santoso Bunga Pratiwi Cahyaaty, Tata Arya Christhover , Robbie Dadan Irwan Dani Dani Daniel Jhon Rosinton Hutauruk Desi Puspasari Diah Putri Ramadhani Dicki Rizki Amarullah Didik Setiyadi Dinda Mutiara Hanum Dwi Budi Santoso Dwi Budi Srisulistiowati Eka Puspita Sari Eka Suryani Pratiwi Ekawati, Inna Endang Retnoningsih Erene Gernaria Sihombing, Erene Gernaria Ervan Dwi Kurniawan Fachrullyanta Adi Saputra Fadilah, Naufal Arif Fahrika, Andi Ika Faisal Adi Saputra Fandiansyah, Rafly Fata Nidaul Khasanah Feni Meilan Tasiba Firyal Rosiana Dita Frieyadie Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Gymnastiar, Muhammad Handry Hartino Haris, Syamsul Alam Harviansyah, Muhammad Haryono Haryono Haryono Hendharsetiawan , Andy Achmad Hendharsetiawan, Andy Achmad Heri Prabowo Hero Suhartono Hero Suhartono, Hero Hutauruk , Daniel Jhon Rosinton Icah Fitri Yani Idaul Hasanah Ikhsan Dwikurniawan Ikhsan Dwikurniawan Ira Wardani Irham Cahya Nugraha Irwan Raharja Ivan Nur Firdaus Izdihar, Zalfa Jaja Jaja JAJA, JAJA Joko Dwi Hartanto Juandika Shevani Julaiwa, Siti Hawa Karnita Afnisari, Karnita Krisendo Setiawan Kukuh Dwi Prasetyo Kurniawan, Ervan Dwi Kustanto , Prio Ladyana Suciani Syafitri Lestari, Tyastuti Sri Lubis, Riski Aditya Magdalena, Caroline Julyana Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah, Maimunah Malikus Sumadyo Mardi Yudhi Putra Mayora Lolly Ishimora Merza Dheo Prakoso Muhamad Ardiansyah Muhammad Harviansyah Muhammad Muharrom Muhammad Riky Sudrajat Muhammad Zidan Al Faiq Nabila , Marsyanda Salsa Ningrum, Mirza Cahya Nita Merlina Nita Merlina, Nita Nitin Kumar Tripathi Noer Hikmah Novaldi Nur Pratama Novianto, Krisna Nunung Hidayatun Nur Amanda Pratiwi Nurchayati Nurchayati Nurcholis Nurcholis Oriza Sativa Dinauni Silaen Pahrizal, Pahrizal Popy Purnamasari Wahid Suyitno Pradana , Galih Apriansha Pramuhesti, Salwa Nabiila Priatna , Wowon Prihatin, Sandy Satyo Prima Dina Atika Purnama, Putra Aldi Purnomo, Rakhmat Purwanti, Santi Rachmatin, Nida Rafika Sari RAFIKA SARI Rahmadya Trias Handayanto Raihan Nurfaidzi Ramadhan, Sahara Ramadhani, Diah Putri Rasim Rasim Rasim, Rasim Rejeki , Sri Retno Nugroho Whidhiasih Retno Sari Riska Utami Dewi Rismayana, Raka Rizki Aulianita, Rizki Robbie Christhover Robertus Suraji Rosliana, Siti Rusdiansyah Rusdiansyah Salwa Nabiila Pramuhesti Samsiana , Seta Sandy Satyo Prihatin Santoso , Muhammad Reinaldy Sanusi, Beno Aditya Saputra , Faisal Adi Saputra, Fachrullyanta Adi Sari , Rafika SATRIYAS ILYAS Septi Eka Hardyana Septia, Dwi Yoga Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Setiawan, Andy Achmad Hendhar Setyowati Srie Gunarti, Anita Shadriyah , Shadriyah Silaen, Oriza Sativa Dinauni Siti Masripah, Siti Siti Rosliana SITI SETIAWATI Sohee Minsun Kim Solikin Solikin Solikin Solikin Sri Rejeki Sri Sureni Sugeng Murdowo Sugiyatno , Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sunandar Sunandar Syadhaffa Gedriyansah Syafina, Prilia Hashifah Syahbaniar Rofiah Syahfitri, Intan Cahya Tambun, Jerisman Jhon Wesli Tia Monisya Afriyanti Trisumeikra, I Komang Arya Tumbur Togu Tyastuti Sri Lestari Tyastuti Sri Lestari Umi Salamah Wicaksono, Naufal Eka Wida Prima Mustika Wiguna, Bhagaskara Farhan Wijaya, Indra Yana, Anisa Feby Yessi Rahmawati Yugo Bhekti Utomo Yusuf, Ajif Yunizar Pratama