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All Journal Kajian Pendidikan & Akuntansi Indonesia JURNAL SISTEM INFORMASI BISNIS Jurnal Teliska Jurnal Pengajaran MIPA Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Pendidikan Matematika Prosiding SNATIF Nurani: Jurnal Kajian Syariah dan Masyarakat Global Medical and Health Communication ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Ampere ITEj (Information Technology Engineering Journals) PAUDIA: JURNAL PENELITIAN DALAM BIDANG PENDIDIKAN ANAK USIA DINI JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Teaching and Learning in Elementary Education Jurnal Ekonomi Integra Biosaintifika: Journal of Biology & Biology Education Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) JURIKOM (Jurnal Riset Komputer) MIND (Multimedia Artificial Intelligent Networking Database) Journal AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Jurnal Idiomatik: Jurnal Pendidikan Bahasa dan Sastra Indonesia Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Global Health research JOURNAL LA MEDIHEALTICO Jurnal Perak Malahayati : Pengabdian Kepada Masyarakat Journal of Technology and Informatics (JoTI) INDONESIAN JOURNAL OF HEALTH Jurnal Hukum Jurisdictie Jurnal Kesehatan Abdurrahman Innovative: Journal Of Social Science Research SJEE (Scientific Journals of Economic Education) PMSDU Jurnal Multidisipliner Kapalamada Wistara: Jurnal Pendidikan Bahasa dan Sastra Al-Hijrah: Journal of Islamic Economics and Banking IEB: Journal of Islamic Economics and Business
Aryanti Aryanti
Centre for Isotopes and Radiation Application, BATAN, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Sistem Pengenalan Wajah Real-Time Menggunakan YOLOv7 untuk Akses Gedung TVRI Palembang Berbasis Web Kyara, Fatia Salsabilla; Aryanti, Aryanti; Halimatussa'diyah, R.A.
Journal of Technology and Informatics (JoTI) Vol. 7 No. 2 (2025): Vol. 7 N. 2 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i2.1063

Abstract

The development of information and communication technology today has had a significant impact on various aspects of life, including in the field of security. The use of face recognition is one of the facial recognition techniques, where the results of the camera capture will be matched with photos or facial curve textures that already exist in the database. The system is widely applied using various methods and artificial intelligence, one of which is YOLO (You Only Look Once). The purpose of this study is to design, develop, and identify challenges in implementing a real-time facial recognition system using web-based YOLOv7 that can detect the faces of people entering the TVRI Palembang building, then photos and times when a person's face is not detected will be stored in the database. The data used comes from literature studies, data collection obtained from photos of TVRI television station employees' faces, software design with technology selection, user interface design, and algorithm structures that will be used. After going through these stages, a system implementation was carried out for the application of the system and analysis of the data results obtained. The results showed that the face detection system using YOLOv7 showed very good performance. In 100 training epochs, the system achieved 96,6% face detection accuracy and 90% face recognition accuracy, successfully identifying almost all registered faces and detecting faces in real time. This system produces high accuracy in detecting faces and almost all faces that should be recognized are successfully detected.
MOTIVASI CALON MAHASISWA UNTUK MERAIH PENDIDIKAN TINGGI MELALUI AKSES BEASISWA KIP PADA UNIVERSITAS BATURAJA Kartika Sari, Enda; Djakfar, Yunizir; Aryanti, Aryanti; Akbar, Ali; Anam, Samsul
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 9 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i9.3692-3698

Abstract

Pendidikan tinggi merupakan salah satu sarana penting dalam meningkatkan kualitas sumber daya manusia dan membuka peluang bagi terciptanya kehidupan yang lebih baik. Pemerintah melalui Beasiswa Kartu Indonesia Pintar (KIP) Kuliah berupaya membantu peserta didik dari keluarga kurang mampu agar tetap memiliki kesempatan yang sama dalam mengenyam pendidikan tinggi. Beasiswa KIP Kuliah pada dasarnya lahir dari kombinasi antara kebutuhan ekonomi, cita-cita pendidikan, dan harapan masa depan.. Tujuan dari kegiatan pengabdian masyarakat ini adalah: 1) mengidentifikasi alasan utama calon mahasiswa tetap ingin melanjutkan pendidikan tinggi meskipun dengan keterbatasan ekonomi, 2) bagaimana pandangan calon mahasiswa tentang peran pendidikan tinggi dalam mengubah masa depan diri dan keluarga. Metode yang dilakukan dalam kegiatan pengabdian masyarakat ini adalah wawancara dengan responden dan mengisian kuisioner. Jumlah responden sebanyak 23 orang. Dari hasil wawancara dan analisis kuisioner didapatkan bahwa beasiswa KIP Universitas Baturaja tidak hanya berperan dalam membantu aspek finansial mahasiswa, tetapi juga memiliki peran strategis dalam membentuk generasi yang berprestasi, berdaya saing, dan berkontribusi pada masyarakat. Untuk itu pihak kampus perlu mendorong keseimbangan antara pencapaian akademik, pengembangan diri, serta partisipasi sosial agar penerima beasiswa mampu menjadi lulusan yang unggul dan berkarakter.
Influence Massage Effleurage use Olive Oil (Olive Oil) to Flow of Mother's Milk Water Mom Post Partum Fatrin, Tiara; Aryanti, Aryanti; Sari, Yona; Epriyani, Merita
Indonesian Journal of Global Health Research Vol 6 No 5 (2024): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v6i5.4121

Abstract

Breast milk is the ideal food in meeting the nutritional needs of newborns. Breast milk provides the energy and nutrients needed for the development and growth of the baby. In Indonesia, only 48.2% of mothers provide exclusive breastfeeding because their breast milk is not smooth. Breast milk can prevent LBW, premature birth, and can reduce infant mortality. One of the efforts to facilitate breastfeeding is with effleurage massage using olive oil. This effleurage massage can stimulate the release of oxytocin hormone. The purpose of this study was to determine the effect of effleurage massage using olive oil (Olive Oil) on the smoothness of breast milk in post partum mothers at PMB Lismarini Palembang. This type of research uses quasi-experimental with a one group pretest-posttest research design. Sampling was done by accidental sampling technique on 15 post partum mothers. Data were analyzed using the chi-square test. The data collection process is that the researcher explains the purpose of the study, if willing to become a respondent, then the researcher asked for willingsess to sign the consent sheet. if prospective respondents are not willing, the research must not impose and must respect the rights of prospective respondent. After the respondent is willing to become a respondent, the research gives a breast milk fluency questionnaire on day 1. After being given the questionnaire, it can be taken as a respondent according to with the inclusion criteria and the results were recorded on the sheet, then the provision of the effleurage massage started on days 1-4. Giving effleurage massage is done 3x/day, namely morning, afternoon, and evening night. On the first day in the morning the researcher gave the effleurage massage and continued by the husband effleurage and continued by the husband had been taught the researcher message techniques on the first day. Giving effleurage massage is done for 4 days with 3-5 minutes. On the 4th day after giving effleurage massage, the researcher gave the questionnaire again, during the research period April-May 2024. The sample obtained was 15 mothers. a little later.The results showed the effect of effleurage massage using olive oil on the smoothness of breast milk, obtained a p value of 0.039.
Pengaruh Budaya Sekolah dan Iklim Sekolah Terhadap Motivasi Kerja Di Sekolah Dasar Swasta Pada Kecamatan Sungai Raya Kabupaten Kubu Raya Aryanti, Aryanti
Jurnal Ekonomi Integra Vol 14, No 1 (2024): Jurnal Ekonomi Integra
Publisher : STIE 'INDONESIA' Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51195/iga.v14i1.344

Abstract

Tujuan dari penelitian ini adalah ingin mengetahui pengaruh budaya sekolah dan iklim sekolah terhadap motivasi kerja di sekolah dasar swasta pada Kecamatan Sungai Raya Kabupaten Kubu Raya. Berdasarkan penelitian sebelumnya dan dikatikan dengan teori pendukung yang dikemukakan oleh para ahli dengan menggunakan program SPSS sebagai alat pengolah data statistik.Jenis penelitian ini yaitu associative research . Dalam penelitian ini peneliti menggunakan teknik nonprobability sampling. Sedangkan teknik sampling yang digunakan dalam penelitian ini adalah accidental sampling. Populasi yang dijadikan sampel yaitu 234,  dengan teknik analisis data menggunakan analisis regresi berganda.
PENGELOLAAN HUBUNGAN MASYARAKAT DI KELOMPOK BERMAIN Aryanti, Aryanti; Wulandari, Retno
Jurnal Multidisipliner Kapalamada Vol. 2 No. 02 (2023): JURNAL MULTIDISIPLINER KAPALAMADA
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/kapalamada.v2i02.433

Abstract

Hubungan Masyarakat berperan penting apabila perannya sesuai dan terlaksana dengan baik.Hubungan masyarakat di lembaga pendidikan terutama di Kelompok Bermain memiliki posisi yang strategis untuk membentuk opini masyarakat umum atau membentuk kerja sama yang tidak mengikat dengan berbagai pihak. Pendapat dan kerjasama masyarakat yang positif, diharapkan akan muncul adanya suatu pengertian, dan kemauan menerima  maksud dan tujuan dari adanya Kelompok Bermain di masyarakat. Adapun penelitian ini menggunakan metode penelitian kualitatif dengan jenis library research. Yaitu metode yang menciptakan data yaitu tulisan ataupun perkataan dan tingkah laku seseorang yang diamati dalam kondisi tertentu. Kemudian untuk teknik pengumpulan datanya dilakukan  dengan mencari  bahan dari berbagai sumber baik dari artikel ilmiah, buku, jurnal ataupun literatur lainnya. Hubungan masyarakat itu sendiri merupakan suatu kegiatan yang membantu mengembangkan hubungan baik didalam suatu lembaga baik dari segi publik internal ataupun eksternalnya. Hubungan Masyarakat itu sendiri yang membangun hubungan yang baik dengan masyarakat lain, untuk mendapatkan apa yang diinginkan, membangun citra, menghadapi rumor, berita dan juga kejadian yang tidak diinginkan. Humas juga mempunyai fungsi sebagai publikasi, yaitu orang yang mendapat tugas untuk mempublikasikan hasil dari aktivitas-aktivitas dari sekolah ke masyarakat. Sehingga dapat membantu membangun  koneksi yang baik dari sekolah yang mewakili dengan masyarakat, melaksanakan kerjasama dan sikap saling menghormati antar sekolah dengan masyarakat.
Sistem Informasi Donor Darah dengan Penerapan Rapid Application Development Menggunakan Notifikasi Whatsapp di Kabupaten Ogan Komering Ilir Febriyanti, Valentina; Aryanti, Aryanti; Halimatussa’diyah, R. A.
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.v7i3.42050

Abstract

The Indonesian Red Cross of Ogan Komering Ilir Regency is a humanitarian organisation established to help alleviate the suffering of others. PMI’s activies are synonymous with humanitarian activities, such as blood donation. Currently, the donor data input system is still done manually by entering data into a ledger and there is no reminder information system for donors. Based on the above problems, this research aims to design an information system for donors using whatsapp notifications appling the Rapid Application Development method. To test result of the data this study using blackbox and the data that has been entered has been in accordance with expectations.
Optimalisasi Pendapatan Bisnis Gula Aren Cair di Tangkal Kawung Menggunakan Linear Programming dengan Metode Grafik Aliudin, Aliudin; Saputri, Kirana Assyifa; Aryanti, Aryanti; Putri, Chairunnissa; Handoko, Ridwan
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (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.v4i4.13269

Abstract

Penelitian ini berjudul “Optimalisasi Pendapatan Bisnis Gula Aren Cair di Tangkal Kawung Menggunakan Linear Programming dengan Metode Grafik” bertujuan untuk memberikan optimalisasi pendapatan maksimal dalam produksi dua jenis ukuran yakni gula aren cair berukuran 1000 ml dan gula aren cair 250 ml. Dalam memecahkan masalah ini, dapat digunakan salah satu model yakni program linear dengan metode grafik. Penelitian ini menggunakan pendekatan deskriptif kuantitatif dan menggunakan data primer dan sekunder. Data primer didapatkan dari wawancara secara online menggunakan platform whatsapp kepada pemilik usaha bisnis, sedangkan data sekunder diperoleh dari literatur-literatur instansi yang terkait, sehingga mempermudah dalam menganalisis data sesuai kondisi yang terjadi dilapangan dengan suatu ukuran tertentu. Berdasarkan hasil analisis, produksi gula aren cair berukuran 1000 ml dan gula aren cair 250 ml dalam satu kali produksinya akan memperoleh pendapatan optimal sebesar Rp14.250.000 dengan keuntungan Rp30.000.
Performance Comparison Between ResNet50 and MobileNetV2 for Indonesian Sign Language Classification Daviana, Feriska Putri; Aryanti, Aryanti; Anugraha, Nurhajar
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8667

Abstract

Hearing impairment was considered a significant barrier to understanding verbal communication. Therefore, an alternative communication medium in the form of sign language was required to bridge interactions between Deaf and hearing individuals. One of the sign languages used in Indonesia was the Indonesian Sign Language (BISINDO). The advancement of deep learning technology provided a great opportunity to develop an effective and accurate BISINDO alphabet classification system. This research was conducted to evaluate and compare the performance of two Convolutional Neural Network (CNN) architectures, namely ResNet50 and MobileNetV2, in classifying BISINDO alphabet images consisting of 26 classes from A to Z. Model training wa carried out over 100 epochs and was analyzed using metrics such as training and validation accuracy, precision, recall, F1-score, and confusion matrix. The training process used a dataset that was divided into 80% training data and 20% validation data, and include image preprocessing steps such as resizing and rescaling. The evaluation results showed that ResNet50 achieved 86.42% training accuracy and 98.64% validation accuracy with 98.80% precision, 98.69% recall, 98.57% F1-score, and 31 misclassifications. In contrast, MobileNetV2 showed superior performance with 99.99% training accuracy, 99.65% validation accuracy, 99.69% precision, 99.65% recall, 99.61% F1-score, and only 8 misclassifications. Based on these results, MobileNetV2 was recommended as a more effective and efficient architecture for BISINDO alphabet image classification compared to ResNet50.
Deteksi URL Phishing Menggunakan Natural Language Processing Dan Support Vector Machine Berbasis Machine Learning Nabila, Nabila; Hesti, Emilia; Aryanti, Aryanti
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7443

Abstract

Phishing represents a significant danger in cybersecurity, using malicious URLs to mislead users into revealing critical information. This research seeks to create a phishing URL detection model using machine learning via the integration of structural URL feature extraction, Natural Language Processing (NLP) methodologies, and the Support Vector Machine (SVM) classification algorithm. Indicators of phishing trends are derived from features such as URL length, the quantity of dots, and slashes, while URL content is quantified as numerical vectors using Term Frequency-Inverse Document Frequency (TF-IDF). All characteristics are subsequently integrated as input into a support vector machine model with a linear kernel for classification. The evaluation results from the classification report indicate that the integration of TF-IDF and linear kernel SVM achieves optimal performance, with 90% accuracy, 92% precision, 89% recall, and 90% F1-score. Conversely, the confusion matrix reveals 90.29% accuracy, 91.66% precision, 88.62% recall, and 90.12% F1-score. This study primarily contributes by integrating NLP and SVM into a unified adaptive phishing detection model via the amalgamation of structural and textual aspects of URLs. This strategy facilitates enhanced phishing detection relative to techniques reliant only on manual characteristics. This model, unlike other research that concentrated on particular instances or excluded NLP, is engineered to identify many categories of phishing URLs broadly, hence enhancing its relevance in tackling the dynamic nature of assaults.
PENYULUHAN UNTUK MENINGKATKAN PEMAHAMAN DALAM PERSIAPAN MENGHADAPI MASA MENOPAUSE Wijayanti, Adhika; Sari, Yona; Aryanti, Aryanti; Fatrin, Tiara; Putri, Vivi Dwi; Aini, Apriyanti; Purwani, Rani; Suryanti, Yuli
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.38518

Abstract

Menopause memiliki arti berhentinya siklus menstruasi untuk selama-lamanya bagi wanita yang sebelumnya mengalami masa menstruasi disetiap bulan, yang disebabkan oleh jumlah folikel yang mengalami atresia yang terus meningkat, sampai tidak tersedia lagi folikel yang dalam 12 bulan terakhir mengalami amenore (Fitri, 2017). Kegiatan pengabdian pada masyarakat ini berupa penyuluhan pada ibu premenopause yang bertujuan untuk meningkatkan pengetahuan ibu dalam mengenal dan mempersiapkan diri serta mengatasi keluhan yang nantinya akan terjadi pada masa menopause. Kegiatan ini diikuti oleh ibu premenopause dengan rentang usia 48-55 sebanyak 30 orang di Puskesmas Sosial Palembang. Hasil dari kegiatan edukasi praktik ini adalah adanya peningkatan pengetahuan ibu dalam mengenal dan mempersiapkan diri menopause.
Co-Authors AA Sudharmawan, AA Adhi Nugraha Agung, Muhammad Zakuan Agustini, Anisa 'A Aini, Apriyanti Akifah Fakhira, Dhia Al Hafiizh, Erwin Ali Akbar Alimuddin, Tri Herdian Syah Aliudin Aliudin, Aliudin Andoko Andoko, Andoko ANDREANSYAH, DIMAS Angelina, Fifteen Anggraini, Nur Septi Anugrah, Aninditya Putri Aprilia, Nadya APRILIANI, DEFINA Ar-Rassya, M.Nabil Asrafi, Ibnu Asriyadi Asriyadi Basri, Syamsuriana Ciksadan, Ciksadan Daeng Kanang, Indah Lestari Daviana, Feriska Putri Desiana, Lidia Desvi Wahyuni Djakfar, Yunizir DWI RAMADHANI Dwiyanti, Julita Dyah Utari Yusa Wardhani Efridani Lubis Elliya, Rahma Emilia Hesti Endri, Jon Epriyani, Merita Ernawati Ernawati Fadli, Irwan Fahrezi, M. Vilza Raihan Fahrozy, Dimas Iqbal Farrel Akbar, Jonathan Fatin, Muhammad Hanif Fazarrudin, Muhammad Febriyanti, Valentina Fitrawahyudi, Fitrawahyudi FITRIYANTI, RAMADHINA Gibtiah Gibtiah H., Rahmawati Haksa, Febrina Rosadah Halimatussa'diyah, R.A. Halimatussa’diyah, R. A. Handoko, Ridwan Harahap, Adhelia Febriasari Hilda Hilda Ikhthison Mekongga Imansyah, Muhammad Ince Nasrullah Indah Dwi Sartika Intan Handayani, Sri Irma Salamah Iryani, Nanda Ishak Ishak Ismail Suardi Wekke Ita Dwimahyani K, Umi Rohmayati Kartika Sari, Enda Kasmawati Khaerani, Khaerani Khairunnisa Khairunnisa Kurniyanti, Novia Kyara, Fatia Salsabilla Laila, Nazmy Noor Lamdayani, Rinda Larasati, Woro Endah Lindawati , Lindawati Lindawati Lindawati Lubis, Abdillah Luna Pasha, Kayla Makmun, Armanto Malinda, Threa Maya, Sri Meike Rachmawati Meitasari, Vina Meitasari, Vina Melati, Rina Mia, Salmia Mustaziri Nabila, Nabila Nasrullah, Ince Nesyana, Nesyana Novelasari, Novelasari Noviansyah, Noer Ramadhon Nurhadiva, Siti Salwa Nurhajar Anugraha Nuzirwan Acang Palpa, Clara Alcahya Permadi, Yan Pramawati, Anita Purwani, Rani Putri, Alda Nabila Putri, Chairunnissa Putri, Nurhaliza Aulia Putri, Vivi Dwi PUTRI, WULAN ZAHRA Rachmania, Rachmania Rahmi Rahmi Ramayanti, Tariza Putri Resti Ardiansyah, Noval Retno Wulandari Rilyani, Rilyani Rini Anggeriani Rini Marwati Riska Wandini, Riska Riswandi, Akmal Rizka, Mahda Robian, Rian Rohmad Adi Yulianto Rosyada, Rosyada Sabila Utami, Meisyah Sakti, Irma Saleh, Ahmad Muzawwir Samsul Anam, Samsul Saputri, Kirana Assyifa Sari, Diah Novita Sari, Lia Dian Sari, Yona Sarjana Sarjana Setiawati Setiawati Silvia, Eka Sitti Aisyah Sopian Soim Sopian Soim, Sopian Suci, Yuni Selvita Sugeng Santoso Suryanti, Yuli Sutedja, Lenny Syafitri, Dhea Syamsiar, Syamsiar Tely, Aristo Tiara Fatrin Titin Apriyani Tri Muji Ermayanti Trismiana, Eka Triyoso, Triyoso Umari, zuul fitriani Utami, Pertiwi Nurul Wibowo, Muhamad Arya Al Ghifari Wida Purbaningsih Wijaya, Tommy Tanu Wijayanti, Adhika Wulandari, Afifah Yordan Hasan, Yordan Yulia Hapsari Yulia Haryono Zhafarina, Imas Ning