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All Journal Jurnal Ilmiah Informatika Komputer Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Bulletin of Electrical Engineering and Informatics JEJAK Jurnal Natapraja : Kajian Ilmu Administrasi Negara Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Borneo Administrator: Media Pengembangan Paradigma dan Inovasi Sistem Administrasi Negara Sinergi Jurnal Informatika dan Teknik Elektro Terapan ELINVO (Electronics, Informatics, and Vocational Education) CESS (Journal of Computer Engineering, System and Science) Jurnal Keperawatan Sriwijaya Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran Jurnal Riset Fisika Edukasi dan Sains JISPO (Jurnal Ilmu Sosial dan Ilmu Politik) Jurnal Informatika Jurnal Inovasi Bisnis (Inovbiz) Jurnal Rekayasa Material, Manufaktur & Energi Jusikom : Jurnal Sistem Komputer Musirawas Pendas : Jurnah Ilmiah Pendidikan Dasar Sebatik Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Informasi MURA Jurnal EDUTECH Undiksha Jesya (Jurnal Ekonomi dan Ekonomi Syariah) YUME : Journal of Management MEDIA INFORMASI Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Applied Technology and Computing Science Journal Jurnal Doktor Manajemen (JDM) EAJ (ECONOMICS AND ACCOUNTING JOURNAL) JURNAL LENTERA BISNIS Jurnal Ilmiah Edunomika (JIE) JATI (Jurnal Mahasiswa Teknik Informatika) JURNAL PENELITIAN PERAWAT PROFESIONAL Journal of Telenursing (JOTING) JIKA (Jurnal Informatika) Jurnal Trias Politika JEKPEND Jurnal Ekonomi dan Pendidikan Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Industri Terintegrasi (JUTIN) Indonesian Journal of Global Health research JOINT (Journal of Information Technology Jurnal Teknik Informatika (JUTIF) International Journal Of Science, Technology & Management (IJSTM) Asia-Pacific Journal of Public Policy Educative Sportive Jurnal Optimasi Teknik Industri (JOTI) TEACHING : Jurnal Inovasi Keguruan dan Ilmu Pendidikan IJORER : International Journal of Recent Educational Research Bulletin of Computer Science Research Journal of Informatics Management and Information Technology Narra J KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Bisnis dan Manajemen (JBM) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Conten : Computer and Network Technology INDOGENIUS Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Akuntansi AKUNESA Journal of Management and Digital Business Dinamika Jurnal Administrasi Bisnis Jurnal VNUS (Vocational Nursing Science) Journal of Indonesian Economy and Business TSAQIFA NUSANTARA: Jurnal Pembelajaran dan Isu-Isu Sosial Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Innovative: Journal Of Social Science Research TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Indo-Fintech Intellectuals: Journal of Economics and Business Jurnal REP (Riset Ekonomi Pembangunan) Influence: International Journal of Science Review Coreid Journal Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Sistem Informasi dan Manajemen Jurnal Software Engineering and Computational Intelligence Prosiding Seminar Nasional Unimus Jurnal Polimesin E-Amal: Jurnal Pengabdian Kepada Masyarakat EKOBIMA Ekonomi Bisnis dan Manajemen SISFOTENIKA Informasi interaktif : jurnal informatika dan teknologi informasi Journal of Economic and Bussiness Retail Ekliptika: Jurnal Inovasi Teknologi Berkelanjutan Assyfa Journal of Farming and Agriculture Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal UNIV.BI MENGABDI
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Online dan Offline Marketing : Sebuah perbandingan Pada Penjualan Toko Roti Mayang Sari di Lampung (Studi pada Pada Penjualan Toko Roti Mayang Sari di Bandar Lampung) Kurniawan, Rudi; Prikurnia, Anas Khair; Sadiyyah, Putri Aisyatus
Journal of Economic and Business Retail Vol 1, No 2 (2021): Journal Economic and Bussiness Retail (JEBR)
Publisher : Institut Teknolog dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/jebr.v1i2.41

Abstract

ABSTRAK  Penelitian ini bertujuan untuk: (1) mengetahui ada-tidaknya pengaruh online marketing dan offline marketing secara simultan pada penjualan  toko roti Mayang Sari, (2) mengetahui ada-tidaknya pengaruh online marketing  dan  offline  marketing  secara  parsial  pada  toko  roti Mayang Sari, dan (3) mengetahui variabel mana yang paling dominan mempengaruhi penjualan pada toko Roti Mayang Sari. Penelitian ini menggunakan   metode   kuantitatif.   Instrument   pengumpulan   data   dalam penelitian ini yaitu wawancara, angaket (kuesioner), dan dokumentasi. Hasil penelitian  ini  yaitu:  (1)  Hasil  pengujian  secara  simultan  (uji  F)  dapat disimpulkan bahwa online marketing dan offline marketing, secara bersama- sama berpengaruh secara signifikan terhadap penjualan, (2) Hasil pengujian secara parsial (uji t) untuk dua variabel yaitu online marketing dan offline marketing, secara terpisah memiliki pengaruh yang signifikan terhadap penjualan, dan (3) Variabel yang paling dominan terhadap penjualan yaitu variabel offline marketing sebesar 6,8%. Kata   Kunci:   Online   Marketing,   Offline   Marketing,   dan  Penjualan
Faktor Yang Mempengaruhi Keputusan Pembelian pada ritel modern Chandra superstore Kurniawan, Rudi; Prikurnia, Anas Khair; Adriani, Weni Yunisa
Journal of Economic and Business Retail Vol 4, No 1 (2024): Journal Economic and Bussiness Retail (JEBR)
Publisher : Institut Teknolog dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/jebr.v4i1.176

Abstract

ABSTRAKTujuan penelitian ini adalah untuk mempelajari pengaruh pelayanan terhadap keputusan pembelian di Chandra Superstore Bandar Lampung. Desain penelitian yang digunakan dalam penelitian ini adalah asosiatif kuantitatif kausal dengan penjelasan deskriptif. Metode analisis yang digunakan adalah analisis regresi linier berganda dengan jumlah sampel 100 orang dan teknik pengambilan sampel yang digunakan adalah teknik Accidental Sampling. Hasil uji hipotesis menunjukkan bahwa kualitas pelayanan berpengaruh positif dan signifikan terhadap keputusan pembelian dengan koefisien regresi sebesar 0,723 dan koefisien determinasi sebesar 52,3%. Artinya kualitas pelayanan dapat menjelaskan keputusan pembelian sebesar 52,3%, sedangkan sisanya sebesar 47,7% dijelaskan oleh variabel lain di luar penelitian ini misalnya lokasi, harga, promosi, citra dll. Kata   Kunci:   Kualitas Layanan, Keputusan Pembelian  
OPTIMIZING YOLOV8 FOR AUTONOMOUS DRIVING: BATCH SIZE FOR BEST MEAN AVERAGE PRECISION (MAP) Hidayat, Zaids Syarif; Wijaya, Yudhistira Arie; Kurniawan, Rudi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.1626

Abstract

Artificial intelligence (AI), especially computer vision, has made rapid progress in recent years. One of the rapidly developing fields in computer vision is object detection. The ability to detect objects accurately and quickly is essential for the development of autonomous driving technology or vehicles that can operate automatically without human intervention. However, the development of autonomous driving technology is still facing various challenges, especially related to the accuracy and speed of object detection by the system. The purpose of this study is to analyze the performance based on the mean average precision (mAP) value of the results of adjusting the number of epochs, batch size, and image size on one of the emerging object detection methods, YOLOv8, in the context of autonomous driving. The analysis focuses on the batch size hyperparameter on the object detection performance of YOLOv8. The research was conducted with an experimental approach where the YOLOv8 hyperparameters were modified and their performance was evaluated using the driver simulation dataset from the CARLA simulator. Object detection performance was evaluated using the mean average precision (mAP) metric. The research results with the highest mAP value are found in scheme VIII with an mAP value of 98.2% and a training time of 59.45 minutes. For scheme III, it gets the fastest training time of 36.25 minutes. Based on the mAP results, modifications to the number of batch sizes and the use of high image sizes can affect the performance and performance of object detection for autonomous driving.
Pengaruh Kualitas Produk, Kualitas Pelayanan, Harga, dan Lokasi Terhadap Kepuasan Pelanggan Mie Gacoan Majapahit Semarang Savero, Raihan Vito; Kurniawan, Rudi; Chasanah, Amalia Nur; Wibowo, Mochammad Eric Suryakencana
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.10600

Abstract

This study aims to examine and analyze the effect of product quality, service quality, price and location on customer satisfaction at Mie Gacoan Majapahit Semarang. The dependent variable used in this study is Customer Satisfaction (Y) while the independent variables used are Product Quality (X₁), Service Quality (X2), Price (X3), and Location (X4). The sample in this study were 100 respondents. The sampling technique used purposive sampling. The analysis methods used are. multiple linear analysis, instrument test, classical assumption test, and hypothesis testing. From the results of the research conducted, it shows that service quality and location have a positive and significant effect on customer satisfaction. Product quality and price variables have no effect on customer satisfaction.
Manajemen Kepala Sekolah dalam Meningkatkan Kompetensi Profesional Guru (Studi pada Madrasah Tsanawiyah (MTs) Kecamatan Lapang Kabupaten Aceh Utara) Bahri, Saiful; Armanda, Dicky; Kurniawan, Rudi
Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran Vol 16, No 2 (2022)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/mpp.v16i2.13695

Abstract

The purpose of this study is to describe the management, obstacles and efforts of the principal in improving the professional competence of teachers at Madrasah Tsanawiyah (MTS) Lapang District, North Aceh Regency. This study uses a descriptive qualitative research method using techniques to obtain data through observation, interviews, and documentation. This study used 10 informants who were determined purposively consisting of the Principal of Madrasah Tsanawiyah (MTS) Lapang District, Deputy Principals and their staff, some teachers and students of Madrasah Tsanawiyah (MTS) Lapang. The results showed that the principal's management in improving the professional competence of teachers at Madrasah Tsanawiyah, Lapang District, North Aceh Regency was very effective. The principal's management is to improve the teaching abilities of teachers, optimize the utilization and use of media and educational facilities, establish good cooperation with the community, apply strict discipline for students and teachers and carry out regular supervision of teachers and students. Obstacles in improving the professional competence of teachers at Madrasah Tsanawiyah, Lapang District, include: limited flow of funds and incomplete facilities and infrastructure. The principal's effort in this case is to look for opportunities to increase the injection of funds to schools, either through donors, local governments or the central government. The principal strives for the teaching staff to use the media facilities and infrastructure as much as possible even though they are limited.
OPTIMASI ALGORITMA K-NEAREST (KNN) NEIGHBORS PADA PREDIKSI RISIKO PENYAKIT KARDIOVASKULAR Hidayat, Peri; Kurniawan, Rudi; Wijaya, Yudhitira Arie; Suprapti, Tati
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5864

Abstract

Penyakit kardiovaskular merupakan penyebab utama kematian di dunia, dipengaruhi oleh berbagai faktor risiko yang kompleks. Deteksi dini sangat penting untuk mencegah komplikasi serius. Penelitian ini bertujuan mengembangkan model prediksi risiko penyakit kardiovaskular menggunakan algoritma K-Nearest Neighbors (K-NN) dan menentukan nilai K optimal untuk meningkatkan akurasi prediksi. Metodologi yang digunakan adalah Knowledge Discovery in Databases (KDD), mencakup pemilihan data, pembersihan data, transformasi data, pemilihan atribut, evaluasi, dan validasi model. Dataset yang digunakan terdiri dari variabel medis seperti usia, berat badan, tekanan darah, kadar kolesterol, dan riwayat medis lainnya. Data dibagi dengan rasio 70:30 dan 80:20 untuk mengevaluasi performa model pada pembagian data yang berbeda. Hasil menunjukkan bahwa nilai K = 40 memberikan akurasi terbaik sebesar 71,00% pada rasio 70:30, sedangkan nilai K = 25 menghasilkan akurasi 71,16% pada rasio 80:20. Kesimpulan penelitian ini adalah algoritma K-NN mampu memprediksi risiko penyakit kardiovaskular dengan baik, bergantung pada pemilihan nilai K dan rasio pembagian data yang optimal. Penelitian ini berkontribusi dalam pengembangan model prediksi risiko penyakit kardiovaskular dan menjadi referensi untuk diagnosis dini di masa depan.
ALGORITMA NAIVE BAYES UNTUK MENINGKATKAN MODEL KLASIFIKASI PENERIMA PROGRAM INDONESIA PINTAR DI SDN 2 PURWAWINANGUN Darussalam, Luthvi Nurfauzi; Kurniawan, Rudi; Wijaya, Yudhistira Arie; Suprapti, Tati
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5882

Abstract

Penelitian ini bertujuan meningkatkan keakuratan klasifikasi penerima Program Indonesia Pintar (PIP) di SDN 2 Purwawinangun, Kabupaten Kuningan. Metode yang lambat dan kurang akurat digantikan dengan algoritma Naive Bayes untuk menganalisis data siswa berdasarkan kriteria tertentu. Proses penelitian meliputi pengumpulan data sekunder, preprocessing data, dan implementasi algoritma Naive Bayes. Hasilnya, model ini mencapai akurasi 96,47% dalam menentukan kelayakan penerima PIP, dengan mempertimbangkan atribut seperti latar belakang sosial ekonomi dan kinerja akademik siswa. Temuan menunjukkan bahwa algoritma ini efisien dalam mengolah dataset kompleks dibandingkan metode manual. Namun, kinerja model sangat bergantung pada kualitas data awal, sehingga data yang tidak lengkap dapat mempengaruhi hasil.Penelitian merekomendasikan penerapan metode ini di sekolah lain dan integrasi algoritma tambahan, seperti Decision Tree, untuk validasi hasil. Dengan pendekatan ini, seleksi penerima PIP menjadi lebih tepat sasaran, efisien, dan transparan.
STUDI ALGORITMA NEURAL NETWORK DALAM KLASIFIKASI SENTIMEN PENGGUNA SHOPEE: PENINGKATAN AKURASI MODEL jannah, Zahratul; Kurniawan, Rudi; Anwar, Saeful
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6113

Abstract

Advances in technology and the growth of e-commerce have generated a large amount of user sentiment data, which can be leveraged to improve user experience. Shopee is an e-commerce platform in Indonesia that allows users to buy and sell various products online. Through the Shopee app, users can find a variety of products ranging from clothing, electronics, cosmetics, household needs, to food. However, sentiment data analysis is often constrained by data complexity and the low accuracy of conventional models. This research aims to improve accuracy in Shopee app users by applying Neural Network algorithm. Evaluation of application user sentiment is important for e-commerce companies, such as Shopee, because it provides an overview of user satisfaction and experience with the services offered. In this research, the Neural Network algorithm is used to process sentiment data by optimizing parameters to improve the optimal parameters, including the best K value that can improve model performance. Experimental results show that the best K value is 2, with model accuracy reaching 95.08%. To further measure effectiveness, recall and precision values were calculated for positive and negative categories. The recall result for positive sentiment reached 98.77%, while for negative sentiment it was 93.33%. In addition, the precision for the positive category was 93.73% and for the negative category was 93.33%.
ANALISIS SENTIMEN PENGGUNA X MENGENAI OPINI MASYARAKAT TENTANG DINASTI POLITIK MENGGUNAKAN ALGORITMA NAÏVE BAYES Andini, Selvi; Kurniawan, Rudi; Anwar, Saeful
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6299

Abstract

Fenomena dinasti politik di Indonesia sering memicu perdebatan, terutama terkait dampaknya terhadap demokrasi dan representasi rakyat. Media sosial, seperti X, menjadi wadah utama bagi masyarakat untuk mengekspresikan opini mereka mengenai isu ini. Namun, analisis sentimen terhadap opini publik di media sosial menghadapi tantangan, terutama karena data teks yang tidak terstruktur dan mengandung noise. Penelitian ini bertujuan untuk mengidentifikasi kata-kata yang sering muncul dalam sentimen terkait dinasti politik, mengevaluasi akurasi algoritma Naïve Bayes dalam analisis sentimen, serta menentukan teknik sampling yang paling optimal untuk meningkatkan akurasi model. Metode yang digunakan adalah Knowledge Discovery in Database (KDD) dengan algoritma Naïve Bayes sebagai model klasifikasi sentimen. Hasil penelitian menunjukkan bahwa kata-kata seperti “politik,” “dinasti,” “banten,” “rakyat,” dan “keluarga” sering muncul dalam sentimen terkait dinasti politik. Teknik linear sampling memberikan akurasi tertinggi sebesar 77.78%, dengan precision 76.19% dan recall 84.21%. Penelitian ini menunjukkan bahwa distribusi data yang seimbang dan teknik sampling yang tepat berpengaruh signifikan terhadap performa model.
Interfacial stress distribution analysis of natural fiberreinforced epoxy composites: a finite element approach Ikramullah, Ikramullah; Gapatra, Reja; Ananda, Seprian Haris; Kurniawan, Rudi; Fonna, Syarizal; Rizal, Samsul; Huzni, Syifaul
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.6085

Abstract

The strength of fiber-reinforced composites is greatly influenced by the bonding at the fiber-matrix interface. Experimental methods to study this interface are often challenging, making numerical approaches essential for evaluating the interfacial behavior in fiber-reinforced composites. This study investigates the stress and strain distribution in the fiber, matrix, and fibermatrix interface regions of natural fiber-reinforced single-fiber composites under tensile loading using the finite element method. Interface conditions were modeled using cohesive elements, with the composites represented in two dimensions through ABAQUS 6.14 software. The tie constrains contact model was employed to define binding interactions between the cohesive element, the fiber, and the matrix. The maximum stress value resulting from the simulation process is 202 MPa and a strain of 0.0449 mm. The stress is effectively distributed to the fiber, demonstrating that the cohesive element used in composite analysis under tensile loading serves as a reliable link between the fiber and the matrix. The simulation results revealed a maximum stress value of 202 MPa and a corresponding strain of 0.0449 mm. The stress distribution effectively transferred to the fiber, demonstrating the capability of cohesive elements to represent the interfacial bond in composites under tensile loading. These findings confirm that cohesive element modeling is reliable method for analyzing fibermatrix interactions in natural fiber reinforced composites, providing insights for optimizing composite performance.
Co-Authors A.A. Gede Agung Abdul Ghani, Raihan Abdul Latif Abdul Razak Munir Abdussamad . Adawiyah , Rabiatul Adinda Maharani, Azahra Aditia Putra Pranjaya Aditya Nugroho Adriani, Weni Yunisa Agni, Vega Putra Dwi Agung Pranata AGUNG SEDAYU Agustin, Maulina Aisy, Rahadatul Aktavera, Beni Alfirda Sofyan, Zahra Ali, Luthfi Gosan Alif Prayudha, Bimo Amalia Nur Chasanah Amaliah, Novi An-naziz Safaat, Wafik Ananda, Seprian Haris Andini, Selvi Andriani, Meri Andriyani, Wini Anggraeni, Anggi Annisa Desty Puspatriani Ansori, Ilman APRIANDY, KEVIN ILHAM Aprianto, Wili Aprisusanti, Rani Purnama Aribah, Firyal Arief Rachman Arip Budiman, Arip Armanda, Dicky Armanto, Armanto Aruni , Fidhia Aruni, Fidhia Arya Rudi Nasution asep gunawan Asmarani, Sri Utami Atun Farihatun Avin Maulana, M. Ayu Endang Purwati Ayulinda, Arianisah P. Baehaqi Bara Zaretta Belli Nasution Berizky, Kekieta Gustie Bimastari Aviani, Tri Hasanah Chulyatunni’mah D.A, Dyah Kuntorini Dadan Suhendar, Asep Darma Irawan, Bobi Darussalam, Luthvi Nurfauzi Daulay, Nelly Khairaini Dayanti, Resda Dermawan, Hibrizi Dzaky Dewiyana, Dewiyana Dheri Febiyani Lestari Diana Puspitasari Diana Sari, Deuis Ducha, Moh Syamsi Dwi Budi Santoso Elmayati, Elmayati Enik Sulistyowati Enik, Enik Sulistyowati Ernawati Ernawati Esti Andarini ETI KURNIAWATI Fahmi Wardhani, Masitha Fajar Ramadhan, Fajar Falih, Alfi Rizqi Falih Fanny Rifqi El Fuad, Fanny Rifqi Fauzan . Febrianur Ibnu Fitroh Sukono Putra Ferrina Ermalina Rumbik, Ferrina Ermalina Rumbik Fery Riyanto Firmansyah, Andan Fitriani Fitriani Fitriyani, Ida Fonna, Syarizal Frans Sudirjo Gapatra, Reja Gilang Ramadhan Ginting, Helmina Br. Gunawan Romadon, Haris Haminangan, Ryan Hanifatul Lutfiah, Hanifatul Lutfiah Harapan Harapan Hayati, Umi Heni Marliany Henri Setiawan Herdiana, Ruli Herwantono, Herwantono Hidayat, Asep Toyib Hidayat, Muhamad Taufiq Hidayat, Peri Hidayat, Zaids Syarif Hutabarat, Auro Osti Berliana I Made Tegeh Ichsan Ichsan Ida Farida Iis Riyana Ikhwan Fahruddin, Yusuf Ikramullah, Ikramullah Ima Sukmawati, Ima Inawati, Windi Indriastuti, Marlina Intan, Bunga Irfan Ali, Irfan Irma Purnamasari, Ade Islamiatik, Fena Ayu Ismail Ismail iwan Syarif j.ezugwu, umezurike Jahroh, Nurdiatul Jannah, Zahratul Jayawarsa, A.A. Ketut Junaidi Junaidi Kamil, Qatrunnada Khairani Daulay, Nelly Komala, Wulan Kristianti, Veronica Ernita Kurniadi, Yudi Kurniawan, Efik Kusman Ibrahim Kusuma, Fujianti Kusumawaty, Jajuk Lilian Lilian Lily Herlinah Linda Oktavianingsih Lingga Wijaya, Harma Oktafia Lorentiana Wijayanti, Rima M Rusdi M. Azka Kesuma Wardana Ma’sum, Hadiansyah Maelani, Imelda Maeyzhal, Fanya Maimun Syukri, Maimun Makhfud Syawaludin Manzis, Zian Masru’ah, Iim Imas MJW, Endrian Mohamad, Fatma Susilawati Monica, Intan Muangsal Mubarok, Khoirul Mudatsir Mudatsir Muhamad Chairul Basrun Umanailo Muhammad Muhammad Muhsin Muhsin Mujib, Miftachul Muktar, Muktar Mulyawan, Mulyawan Mustikasari, Julia Arum Mustofa Bisri, Mu'ammar Nana Herdiana Abdurrahman, Nana Herdiana Ningtias, Restika Puspa NOVIANTI, ELIS Noviati, Elis Novilia, Fitri Nur Amalia, Yustika Nur Hamidah, Nur Nur Hidayat Nurapandi, Adi Nurazijah, Wulan Nurbaiti, Seni Nurholipah, Titin Nurmalawati, Nurmalawati Nurmasyahyati Nurmasyahyati, Nurmasyahyati Nurul Huda Nurul Kamaly Nuryaman, Maman Odi Nurdiawan Okke Rosmala Dewi Oktafia Lingga Wijaya, Harma Oktavia, Vicky Pamungkas, Angling Sadewo Aji Pratama, Annisa Salsabilah Pratama, Vishal Indu Prawitasari, Dian Prikurnia, Anas Khair Purusa, Nanda Adhi Purwo Suwignyo Putri ayu, Putri Ayu Dara Sekarwangi Putri, Widia Raden Mohamad Herdian Bhakti Rafila, Amal Julio Rafles Ginting Rahayu, Anisa Dinda Rahmad Nuthihar Rahmadiawan, Dieter Rahman Sahputra, Rizky Rahman, Sakilah Ramadhan, Teddy Muhammad Ramdani, Pajar Raudotul Janah, Fina Regina Regina Revita Yanuarsari Ria Kurniawati Rifaai Alldi Ananda, Muhamad Rifatul Khasanah, Rifatul Khasanah Rizki Ani, Fitri Rizki, Fido Rizqi, A Faisal Maulana Rocky Putra A Rohman, Idan Saepul Rusdiyanto Sabilla, Raissa Sadiyyah, Putri Aisyatus Saeful Anwar, Saeful Safitri, Maria Safrida Safrida Safrida Safrida, Nila Saiful Bahri Salma Munada, Mutiara Salsabila, Denaya Bethary Samsul Anwar Samsuryadi Samsuryadi Sandi, Yudisa Diaz Lutfi Sandova, Firdaus Sanjaya, Handika Sari Rusmita Sari, Wisdalia Maya Sasabone, Luana Savero, Raihan Vito Savira Uswatun Khasanah, Savira Uswatun Khasanah Septian Nugraha, Titan Setiani, Tia Shalihah, Ghina Sholeha, Mia Sintaningrum, Picantia Bunga Siti Nurhamidah, Lena Situmeang, Alona sobri, ahmad Sofyan, Sarwo E. Sofyan, Verra Rosyalia Widia Sormin, Rahma Diani Srinayanti, Yanti Sugiyono . Suhanda Suhanda Suhita Whini Setyahuni Sumiarsih, Mia Sunardi, Lukman Supratati, Tati Suprihartini, Yayuk Suryana, Tatang Suryawijaya, Tito Wira Eka Susana, Heliyanti Susilawati Mohamad, Fatma Sutisna, Asep Syach Putra, Yanuar Syafruddin, Muhammad Andri Syahrial Sidik Syamsul Anwar, Syamsul Syifaul Huzni Taryana Taryana, Taryana Tati Suprapti Taufik Hidayat Tedjo Darmanto Tedjo Darmanto Tessy Badriyah, Tessy Tito Aditya Perdana Triswanto, Triswanto Usmiyatun Usmiyatun Vincent Didiek Wiet Aryanto Vitriyan Espa Wabula, Abdul Latif Wahyudi Wahyudi Wahyunisari, Nina Waluyo, Endrian Mulyadi Justitia Wardana, Affan Hanafi Wibowo, Mochammad Eric Suryakencana Widianto, Fuad Hassan Widiawati, Fitri Wijaya, Yudhistira Wijaya, Yudhitira Arie Winayah, Winayah Yantiana, Nella Yeni Puspitasari Yudhistira Arie Wijaya Yudi Setia Rachmanda yulani, Yulani - Yulia, Yuli Yunitri, Ninik Yusnawati, Yusnawati Yusuf Sidiq, Yusuf Sidiq Zahara, Ana Zahrul Fuadi Zakaria, Fakhmi Zulius, Antoni