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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Journal of Information Systems Engineering and Business Intelligence JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURIKOM (Jurnal Riset Komputer) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Building of Informatics, Technology and Science Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal E-Komtek JIKA (Jurnal Informatika) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Teknika Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan IJCOSIN : Indonesian Journal of Community Service and Innovation KREATIF: Jurnal Pengabdian Masyarakat Nusantara Jurnal Informatika Jurnal Masyarakat Madani Indonesia eProceedings of Engineering Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jnanadharma Transaction on Informatics and Data Science Jurnal Teknokes KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Yohani Setiya Rafika Nur
Telkom University
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Classification of Cavendish Banana Quality using Convolutional Neural Network Suryani, Ajeng Ayu; Athiyah, Ummi; Nur, Yohani Setiya Rafika; Warto
Transactions on Informatics and Data Science Vol. 1 No. 1 (2024)
Publisher : Department of Informatics, Faculty of Da'wah, UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v1i1.12191

Abstract

Indonesia's agricultural production is divided into two main categories: vegetables and fruits. The vegetable category includes shallots, garlic, chilies, mushrooms, spinach, cabbage, and potatoes. One of the fruit commodities from the fruit horticulture subsector is bananas, which are divided into several types, including ambon, plantains, Cavendish, pipit, and horn bananas. One of the bananas that has a good selling value in Indonesia is the Cavendish banana, but the selling value of the Cavendish banana is determined by the quality of the banana fruit. A classification process is necessary to find out the quality of bananas. We perform classification using one of the deep learning algorithms, namely Convolutional Neural Network. The experiment uses 1047 images, divided into 65% training data, 15% validation data, and 20% testing data by using epochs 20 times with 16 batch sizes, the accurate results obtained are 99%. The results indicate the effectiveness of the confusion matrix in identifying training data and detecting images. It can be concluded that using more training data leads to higher accuracy, as fewer image reading errors occur when fewer images are processed. This classification is expected to be able to classify bananas with good quality like the real condition.
EXPERT SYSTEM WITH DEMPSTER-SHAFER METHOD FOR EARLY IDENTIFICATION OF DISEASES DUE TO COMPLICATIONS SYSTEMIC INFLAMMATORY RESPONSE SYNDROME Wido Paramadini, Adanti; Dasril Aldo; Yoka Fathoni, M.; Yohani Setiya Rafika Nur; Dading Qolbu Adi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.2021

Abstract

Systemic Inflammatory Response Syndrome (SIRS) is a generalized inflammatory condition, triggered by various factors such as infection or trauma, which can lead to serious complications if not treated quickly. This condition is characterized by symptoms such as fever or hypothermia, tachycardia, tachypnea, and changes in white blood cell count. Complications that can arise from SIRS include Acute Respiratory Distress Syndrome (ARDS), which results in fluid in the alveoli and requires mechanical ventilation; acute encephalopathy, which leads to brain dysfunction; Asidosis Metabolik, indicating liver damage; hemolysis, which results in the breakdown of red blood cells; and Deep Vein Thrombosis (DVT), which is at risk of causing pulmonary embolism. To overcome this diagnostic challenge, this study implements the Dempster-Shafer method in an expert system, where it allows the aggregation and combination of various sources of evidence to produce degrees of belief and degrees of plausibility for each diagnostic hypothesis. By accounting for uncertainties and contradictions in the data, the system improves diagnostic accuracy through dynamically weighting and updating beliefs based on available evidence. This process allows early and accurate identification of SIRS complications, supporting appropriate medical intervention. System evaluation showed diagnostic accuracy of 93%, confirming the potential of expert systems in supporting rapid and precise clinical decision-making in managing SIRS complications.
Sistem Pakar Diagnosis Penyakit Pada Ikan Bawal Bintang dengan Pendekatan Naive bayes Aldo, Dasril; Nur, Yohani Setiya Rafika; Fathoni, M. Yoka
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.4750

Abstract

 The star pomfret is a type of cultivated fish that has high economic prospects. The focus of the main problem in this study is the disease that attacks the star pomfret fish commodity. If this is allowed to continue, it will cause crop failure and cause the fishermen to lose money. Through this research, an expert system is one solution that can overcome these problems. The expert system built will apply the Naive Bayes method with the stages of entering the dataset into the database which will be used as training data, then the user inputs testing data to be processed into the Bayes method, in the final result the probability value of each disease will be displayed which will then be given recommendations on how to control it disease. From the symptoms selected by the user, namely: white or pale spots on the surface of the body, bleeding on the surface of the body, protruding eyes, the fish looks difficult to breathe, mucus production increases until the body runs out of mucus / roughness, fish lose their appetite, slow movement and slow growth get disease results Cryptocaryon with a value of 93.4. The results of tests carried out on 17 data obtained an accuracy value of 94% so that the expert system is suitable for use as a tool for diagnosing disease in pomfret
Optimalisasi Pengelolaan Sampah Plastik Serta Pemberdayaan Masyarakat Dalam Peningkatan Ekonomi Warga Dusun Semingkir Purwokerto Bachrul Restu Bagja; Luqman Wahyudi; Yanuar Ikhsan Pamuji; Yohani Setiya Rafika Nur
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 3 No. 4 (2023): Desember : Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v3i4.2454

Abstract

Covid-19 has left many traces on the Indonesian people, the sorrow of losing family, friends and relatives, as well as the consumer behavior of society. Behavior during the pandemic then becomes a new habit for society, where purchases of goods, food or drinks online continue to be made. This has an impact on the increasing amount of household waste, there is a buildup of waste, especially plastic-based waste. Plastic waste is a type of waste that poses a serious threat to the environment because it is not easily decomposed by nature. Destruction of plastic waste through burning also creates new problems in the form of air pollution which increases the risk of cancer. Public awareness of the negative impacts of plastic waste is increasing in big cities and in regions, such as Banyumas Regency, one of which is encouraged by the existence of a non-governmental group that is engaged in utilizing waste, namely the Inyong Waste Bank. Conventional methods in processing waste, product distribution patterns and management that are not optimal have caused the public's interest in getting involved in the Inyong Waste Bank to decrease because the economic value has decreased drastically. There are solutions in the form of increasing capabilities in processing waste using alternative methods, public interest in managing the Inyong Waste Bank, as well as arranging new distribution patterns so that they can increase the economic value of products resulting from periodic training activities with outputs in the form of websites, logo designing and product innovation and promotion training.
Inovasi Penetas Telur Cerdas Berbasis IoT sebagai Strategi Pemberdayaan dan Kemandirian Ekonomi Perempuan di Desa Muntang Aldo, Dasril; Nur, Yohani Setiya Rafika; Kurniawati, Ajeng Dyah; Hidayat, Afifah Naurah; Syahputra, Dio; Fathan, Faizal Burhani Ulil; Maulana, ⁠Ihsan; Adriano, Riftian Dimas
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/a95a4s30

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kemandirian ekonomi perempuan di Desa Muntang, Kecamatan Kemangkon, Kabupaten Purbalingga, melalui penerapan inovasi penetas telur cerdas berbasis Internet of Things (IoT). Permasalahan utama mitra adalah proses penetasan ayam kampung yang masih manual, kurang efisien, serta rendahnya keterlibatan perempuan dalam usaha produktif. Kolaborasi dilakukan antara Komunitas Limbah Pustaka sebagai fasilitator sosial, kelompok Petet Ayam Lestari sebagai mitra teknis, dan warga desa sebagai peserta utama. Kegiatan mencakup sosialisasi, pelatihan teknis dan manajemen usaha, implementasi alat di lapangan, serta evaluasi melalui observasi dan kuesioner. Hasil menunjukkan peningkatan signifikan pada pemahaman peserta terhadap teknologi dan peluang ekonomi desa. Rata-rata tingkat pemahaman meningkat dari 46% menjadi 91%, sedangkan tingkat kepuasan terhadap kegiatan mencapai skor 3,69 dari skala 4,0 (kategori sangat baik). Program ini menghasilkan alat penetas telur cerdas yang mudah digunakan dan sesuai dengan kebutuhan masyarakat pedesaan. Kesimpulannya, penerapan teknologi tepat guna berbasis IoT terbukti efektif dalam mendorong pemberdayaan perempuan, peningkatan literasi teknologi, serta penguatan ekonomi lokal yang berkelanjutan.
Analisis Sentimen Vtuber Hololive Indonesia Sebagai Tren Hiburan Digital Menggunakan Naïve Bayes Dan Support Vektor Machine Rianto Putra, Frederick; Paradise; Setiya Rafika Nur, Yohani
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

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

Abstract

Virtual YouTuber (VTuber) telah menjadi industri hiburan digital dengan signifikansi budaya dan ekonomi yang kuat, salah satunya diwakili oleh Hololive Indonesia (HoloID). Namun, dibalik pertumbuhan pesat dan interaksi penggemar yang masif, seringkali muncul polarisasi opini publik yang tajam, sehingga pemahaman yang terukur mengenai sentimen audiens menjadi krusial bagi manajemen citra dan strategi konten. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap HoloID di media sosial (YouTube dan Twitter) serta mengevaluasi dan membandingkan performa algoritma Naïve Bayes dan SupportVector Machine (SVM) dalam tugas klasifikasi tersebut. Data diperoleh melalui crawling dan scraping, diikuti pre-processinguntuk pembersihan dan penyesuaian data. Proses labeling dilakukan semi-otomatis menggunakan SenticNet, mengklasifikasikan sentimen menjadi positif dan negatif. Sentimen netral dihilangkan dari dataset akhir untukmemfokuskan analisis pada dua kutub opini utama. Dataset dibagi 80% untuk data latih dan 20% untuk data uji, sertadievaluasi dengan 10-fold cross-validation. Hasil evaluasi menunjukkan akurasi model Naïve Bayes tanpa SMOTEadalah 0.8022, dan dengan SMOTE 0.7997. Sementara itu, akurasi model SVM tanpa SMOTE mencapai 0.8980, dandengan SMOTE 0.8926. Rata-rata 10-fold cross-validation menunjukkan akurasi tertinggi pada SVM tanpa SMOTE(0.9040), menjadikannya model terbaik dalam penelitian ini. Kata kunci— Analisis Sentimen, Naïve Bayes, Support Vektor Machine
Pengembangan Website Layanan Tugas Akhir Telkom University Menggunakan Metode Rapid Application Development (RAD) Deni Romadan, Muhamad; Dwi Putro Wicaksono, Aditya; Setiya Rafika Nur, Yohani
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

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

Abstract

Layanan propsal tugas akhir di Telkom University Purwokerto sebelumnya menghadapi kendala inefisiensi dan fragmentasi data akibat alur kerja yang belum terintegrasi dan ketergantungan pada platform eksternal. Penelitian ini bertujuan untuk mengembangkan sebuah website layanan propsal tugas akhir terpusat yang bernama (Sistem Informasi Proposal Tugas Akhir) untuk mengatasi permasalahan tersebut. Pengembangan sistem menggunakan metode RapidApplication Development yang difasilitasi oleh kerangka kerja PHP Laravel untuk membangun sebuah platformyang modern, profesional, dan mengintegrasikan seluruh alur kerja tugas akhir bagi mahasiswa, dosen, dan admin.Proses validasi sistem dilakukan melalui dua metode pengujian. Pengujian fungsional dengan metode blackbox testing menunjukkan tingkat keberhasilan sistem sebesar 98,68%. Sementara itu, pengujian usabilitas yang melibatkan 25 pengguna dengan metode System Usability Scale (SUS) menghasilkan skor akhir 89,9, yang termasuk dalam kategori "Sangat Baik" (Excellent). Hasil penelitian menunjukkan bahwa sistem sistem informasi layanan proposal tugas akhir yangdikembangkan berhasil menjadi solusi yang tangguh secara fungsional, mudah digunakan, serta mampumentransformasi proses layanan proposal tugas akhir menjadi lebih efisien, terstruktur, dan terintegrasi. Kata kunci— Sistem Informasi Akademik, TugasAkhir, Rapid Application Development, Laravel, SystemUsability Scale (SUS), Blackbox Testing, ManajemenProses Akademik.
Rancang Bangun Sistem Inventori Berbasis Desktop Dengan Menggunakan Metode Rapid Application Development (Studi Kasus: Pt. Karya Prima Multiguna) Hasan, Faiz; Setiya Rafika Nur, Yohani
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

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

Abstract

PT. Karya Prima Multiguna adalah sebuahperusahaan yang beroperasi di sektor industri danmenyediakan layanan seperti Machining, Bubut, Milling,Surface Grinding, Cylindrical Grinding, Precision Part, Jig danFixture, Dies, Mould, serta Fabrication. Karyawan PT KaryaPrima Multiguna menghadapi kesulitan dalam pengelolaangudang perusahaan yang masih menggunakan metode manual,contohnya Microsoft Excel, khususnya dalam pengolahan datastok barang. Oleh sebab itu, kualitas manajemen gudang harusdiperbaiki dengan menerapkan sistem inventori berbentukaplikasi desktop, yang merupakan upaya untuk mendukungefisiensi operasional dalam pengelolaan data. Sistem inventoridibangun menggunakan metode Rapid ApplicationDevelopment, karena metode ini memungkinkan pembuatansistem secara cepat dan efisien, sesuai dengan kebutuhan PTKarya Prima Multiguna. Proses pengembangan mencakuptahap perencanaan kebutuhan, desain sistem yang melibatkanpembuatan prototipe, pengujian, penyempurnaan,pengembangan, hingga implementasi. Penelitian ini bertujuanmengembangkan sistem inventori berbasis desktop untukmeningkatkan efisiensi operasional perusahaan, dengan PT.Karya Prima Multiguna sebagai objek studi. Hasil uji cobadengan metode black box menunjukkan bahwa sistem berjalansesuai fungsi yang diharapkan dan setiap fitur beroperasisecara tepat.Kata kunci — Desktop, Manajemen Pergudangan, RapidApplication Development.I. PENDAHULUANPerkembangan teknologi informasi dalam dua dekadeterakhir telah memberikan pengaruh besar terhadap berbagaiaspek operasional perusahaan. Pemanfaatan sistem informasiberbasis database menjadi salah satu faktor utama dalammendukung pengolahan dan penyimpanan data secara cepat,tepat, dan terstruktur. Dalam konteks manajemen perusahaan,penerapan teknologi ini sangat relevan untuk meningkatkanefisiensi dan akurasi, khususnya pada bagian pengelolaanpersediaan barang atau inventori. Sistem inventori berperanpenting dalam memantau ketersediaan stok, mengatur arusbarang masuk dan keluar, serta memastikan kelancaranproses distribusi. Dengan dukungan sistem informasi yangtepat, pengelolaan inventori dapat dilakukan lebih efektifsehingga meminimalkan kesalahan manusia danmengoptimalkan kinerja operasional [1].Salah satu bentuk penerapan sistem informasi yangrelevan adalah sistem inventori berbasis desktop. Sistem inimemiliki karakteristik yang memungkinkan pengolahan datadilakukan secara lokal, tanpa memerlukan koneksi internet,sehingga dapat beroperasi secara independen dan tetapterjaga keamanannya. Keunggulan sistem berbasis desktopterletak pada kemampuannya untuk mengolah data secarareal-time, mengurangi risiko keterlambatan sinkronisasi,serta membatasi akses hanya kepada pengguna yangmemiliki otorisasi. Hal ini berbeda dengan sistem berbasisweb yang membutuhkan koneksi internet untuk dapatberoperasi dan terkadang rentan terhadap masalah jaringan.Dengan demikian, sistem inventori berbasis desktop menjadisolusi yang tepat untuk perusahaan yang menginginkanpengelolaan stok barang yang cepat, stabil, dan aman [2].PT. Karya Prima Multiguna merupakan perusahaan yangbergerak di bidang jasa machining, bubut, milling, surfacegrinding, cylindrical grinding, precision part, jig and fixture,dies, mould, dan fabrication, yang berlokasi di Cikarang.Sebagai salah satu perusahaan yang terus berkembang, PT.Karya Prima Multiguna memerlukan dukungan sisteminformasi yang handal dalam menjalankan aktivi
Food Detection to Estimate Calories Using Detection Transformer Kristanto, Joshua Putra Fesha; Prabowo, Dedy Agung; Yohani Setiya Rafika Nur
Jurnal Teknokes Vol. 18 No. 4 (2025): Desember
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v18i4.132

Abstract

Accurately estimating calorie intake remains a common challenge, as many individuals have limited understanding of portion sizes and the caloric content of foods. This lack of nutritional knowledge is a major cause of both over- and under-calorie consumption and contributes to significant public health problems, including obesity, cardiovascular disease, and chronic metabolic disorders. Although computer vision–based approaches for dietary assessment have advanced, many methods still rely on handcrafted features, anchor-based CNN detectors, or controlled geometric assumptions. This indicates a practical gap in developing a fully functional system that operates on basic RGB images captured under everyday conditions. This study aims to develop an end-to-end food detection and calorie estimation system using the Detection Transformer (DETR) to predict calorie values directly from food images. The main contributions of this study include: (1) employing DETR to address non-maximum suppression limitations and improve the stability of multi-food recognition; (2) using a bounding box area-to-weight ratio as a low-complexity alternative to segmentation-based food portion estimation; and (3) developing a user-friendly interface for output visualization that displays detected food items and their estimated calorie values in real-world scenarios involving irregular food shapes and varying focal lengths. A DETR-based detector was trained using 2,228 COCO-formatted images across six distinct food classes. Calorie values were estimated by predicting food weight based on bounding box measurements, followed by calorie calculation using standardized reference weights. The method assessed robustness by evaluation on both controlled and real-life food images. Experimental results demonstrated moderate performance, with 0.617 mean Average Precision (mAP) and 0.656 mean Average Recall (mAR). The weight prediction module served as the primary estimation component, achieving a mean absolute residual of 8.7. These findings suggest that bounding box area is a reliable estimator of serving size. This study serves as a proof of concept for monitoring individual food intake and provides a foundation for further improvement in sub-item recognition, three-dimensional volume estimation, and the inclusion of broader food classes.
Implementation of Forward Chaining And Certainty Factor Methods for Android-Based Red Onion Diagnosis Ghozali, Imam; Athiyah, Ummi; Nur, Yohani Setiya Rafika
Journal of INISTA Vol 8 No 1 (2025): November 2025
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v7i2.1779

Abstract

Shallots are one of the crucial horticultural commodities in Indonesia, used in various social layers. Brebes is one of the main shallot producing regions with a significant increase in production. However, farmers often experience reduced yields due to disease attacks and lack of guidance from experts. This researcher aims to develop an Android-based expert system that applies the Certainty Factor and Forward Chaining methods to identify diseases in shallot plants. This system uses rules to identify onion disease symptoms and calculates the confidence level for each possible diagnosis. The Forward Chaining method helps identify symptoms sequentially, while the Certainty Factor calculates confidence in the possibility of disease. The research results show that this method is effective in providing an accurate diagnosis of onion diseases from the 5 diseases tested by the recommended system with a percentage value of 100%. In conclusion, the expert system created for diagnosing shallot plants using the Android-based forward chaining and certainty factor method was successfully built. Then, for Functionality Testing based on black box testing carried out by experts, the results were obtained with 100% accuracy, which means the system is in accordance with its functional requirements.
Co-Authors Adanti Wido Paramadini Ade Prasetyo, Ade Adriano, Riftian Dimas Afifatul Fajri, Nabila Ajeng Dyah Kurniawati Al Faiz, M. Hanif Alfonsus Simbolon Alika, Shintia Dwi Amalia Beladinna Arifa Aminatus Sa’adah Andre Citro Febriliyan Lanyak Audrey Hillary Auliya Burhanuddin Azmi, Wifqi Wifakul Bachrul Restu Bagja Bidayatul Masulah Bita Parga Zen Christantie Effendy Christian Tambunan, Gerry Claudio Felle, Roland Dading Qolbu Adi Dasril Aldo Dedi Rahman Habibie Dedy Agung Prabowo Deni Romadan, Muhamad Dwi Putro Wicaksono, Aditya Edelin Gultom Endraswari, Putri Mentari Eryan Ahmad Firdaus Faisal Dharma Adhinata Faiz, M. Hanif Al Fathan, Faizal Burhani Ulil Fau, Andrew Filfimo Yulfiz Ahsanul Hulqi Firmansyah, Muhammad Raafi'u Gusla Nengsih, Yeyi Gusnita Linda Hasan, Faiz Hidayat, Afifah Naurah Imam Ghozali J. Manurung, Barnes Kristanto, Joshua Putra Fesha Lina Fatimah Lishobrina Luqman Wahyudi M Yoka Fathoni Maulana, Ihsan Maulana, ⁠Ihsan Melinda Br Ginting Miftahul Ilmi Muadin, Dika Alim Muhamad Azrino Gustalika Nadia Ayu Isroh Nia Annisa Ferani Tanjung Nur Ghaniaviyanto Ramadhan Nurhaeka Tou Pamuji, Yanuar Ikhsan Paradise Ramadhani, Rima Dias Rania Nur Hikmah Rianto Putra, Frederick Ridho Rahmadi Sa'adah, Aminatus Sahara Sahara Sapta Eka Putra Sulaeman, Gilang Suprapto, Amelia Rut Suryani, Ajeng Ayu Syahputra, Dio Trihastuti Yuniati Ummi Athiyah Usman, Muhammad Lulu Latif Utami, Annisaa Wahyu Adi Prabowo Wanda Ilham Warto Widya Lelisa Army Yasin, Feri Yehezekiel Ramasyah Putra Haloho Yoka Fathoni, M. Yuan Sa'adati Zahirah, Regina Putri Wanda