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All Journal Jurnal Ilmiah Informatika Komputer Pendidikan Geografi JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Tourism & Hospitality Essentials Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JTT (Jurnal Teknologi Terpadu) QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama JIKO (Jurnal Informatika dan Komputer) Jurnal Pilar Nusa Mandiri Journal of Research and Technology Jurnal BALIRESO Jurnal Sisfokom (Sistem Informasi dan Komputer) ILKOM Jurnal Ilmiah Jurnal RESISTOR (Rekayasa Sistem Komputer) Adimas : Jurnal Pengabdian Kepada Masyarakat KOMPUTIKA - Jurnal Sistem Komputer Buletin Ilmiah Sarjana Teknik Elektro Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of Information Technology and Its Utilization Idealis : Indonesia Journal Information System JISO : Journal of Industrial and Systems Optimization International Journal of Engineering, Science and Information Technology Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Journal of Industrial View Abditeknika - Jurnal Pengabdian Kepada Masyarakat Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Hawari: Jurnal Pendidikan Agama dan Keagamaan Islam Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Open Community Service Journal The Center For Sustainable Development Studies Journal Tatar Pasundan: Jurnal Diklat Keagamaan MANISE (Manajemen, Bisnis dan Ekonomi) The Indonesian Journal of Computer Science Industrial & System Engineering Journals (ISEJOU) JURMA YUSTISI Journal of Information Technology and its Utilization

lilis nurhayati

Teknik Informatika, Fakultas Ilmu Komputer, Universitas Muslim Indonesia Makassar, Indonesia

Author-ID : 2888681

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PELATIHAN BARISTA KOPI MENDORONG EKONOMI KREATIF PADA GENERASI MILENIAL Lilis Nurhayati; Lasman Parulian Purba
The Center for Sustainable Development Studies Journal (Jurnal CSDS) Vol 1 No 2 (2022): Desember
Publisher : Faculty of Engineering, Darma Cendika Catholic University

Program pemberdayaan kaum milenial di lingkungan Ngebel Ponorogo mendukung program pemerintah untuk mendorong ekonomi kreatif. Dalam membuat produk minuman kopi yang mempunyai nilai tambah perlu dilakukan inovasi dan kreatifitas dari penyaji kopi. Profesi Barista dituntut untuk selalu memperbarui dan menambah pengetahuan dan ketrampilan sehingga dapat menciptakan produk olahan kopi yang digemari penikmat kopi. Tujuan kegiatan Pengabdian kepada Masyarakat ini mendorong ekonomi kreatif bagi karang taruna atau lebih disebut kaum milenial di daerah Hargokiloso Ngebel Ponorogo. Daerah Ngebel terutama Hargokiloso merupakan daerah yang mempunyai potensi alam yaitu kopi robusta yang melimpah. Hal ini mendorong pertumbuhan kegiatan ekonomi kreatif di kalangan karang taruna dengan memanfaatkan hasil alam kopi daerah tersebut. Hasil yang diharapkan yakni dapat meningkatkan ketrampilan dan keahlian dalam menciptakan produk minuman kopi dengan beragam rasa dan aroma, sehingga dapat menciptakan peluang usaha bagi kaum muda didaerah Hargokiloso Ngebel Ponorogo untuk mendorong ekonomi kreatif di daerah dimaksud.

APLIKASI AUGMENTED REALITY BERBASIS PLANE DETECTION UNTUK VISUALISASI OBJEK FURNITURE RUANGAN Irawati - Irawati; Lilis Nur Hayati; Muhammad Nazar Alfath
JURNAL INFORMATIKA DAN KOMPUTER Vol 7, No 2 (2023): SEPTEMBER 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v7i2.801

Penataan sebuah ruangan sangat merepotkan jika harus memindahkan setiap perabotan rumah tangga dengan menggesernya, Untuk itu sangat diperlukan sebuah teknologi berupa aplikasi yang dapat mendekorasi dan mendesain ruangan tanpa harus menggerakkan atau memindahkan perabotan rumah tersebut. Teknologi yang digunakan untuk penataan ruang yang dapat memudahkan kita untuk mendesain ruangan dengan menggunakan teknologi Augmented Reality.Penelitian ini bertujuan untuk membangun sebuah aplikasi Augmented Reality secara real-time berbasis android sehingga dapat memudahkan pengguna untuk mendesain interior ruangan dengan lebih efektif tanpa harus mengalami kesulitan dalam mengatur perabotan secara manual. Dengan mengimplementasikan metode Markeless Augmented Reality dan metode Plane Detection pada aplikasi yang membantu pengguna mendesain sebuah ruangan yang diinginkan. Hasil penelitian menunjukkan Aplikasi ARFurniture dapat menampilkan objek 3D secara real-time, dengan fitur mengubah posisi dan rotasi objek 3D, penguna dapat menata sebuah ruangan sesuai keinginanya. Aplikasi ini juga dilengkapi dengan fitur add yang dapat menampilkan multi objek 3D pada layar perangkat pengguna. Aplikasi ARfuniture menggunakan metode Markerless Augmented Reality dengan fitur plane detection, sehingga pengguna tidak perlu mencetak marker untuk menampilkan objek 3D.

Inovasi Perancangan Alat Irat Bambu Sebagai Bentuk Dukungan Pelestarian Produk Anyaman di Trenggalek Bellanov, Agrienta; Nurhayati, Lilis; Valentino, Teofilus
Abditeknika Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2024): April 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v4i1.3103

Bambu merupakan salah satu hasil alam yang melimpah di Kabupaten Trenggalek, sehingga masih banya ditemukan pengrajin yang bergerak di bidang home industry untuk menghasilkan anyaman tikar, besek, dan lain sebagainya. Seiring dengan berkembangnya zaman, produk anyaman sudah semakin jarang ditemukan, hal inilah yang membuat harga produk anyaman semakin menjanjikan. Setelah melakukan wawancara kepada para pengrajin, dapat disampaikan bahwa para pengrajin mengeluh mudah lelah pada proses irat bambu, proses ini dilakukan untuk mendapatkan lembaran-lembaran tipis dari bambu untuk kemudian di anyam, dengan teknik manual yang dilakukan terkadang lembaran bambu tidak memiliki ukuran ketebalan yang sama, hal ini juga yang akhirnya menurunkan semangat pengrajin untuk melakukan produksi, akibatnya pengiriman produk ke konsumen sering mengalami keterlambatan. Pelaksanaan program dalam kegiatan ini menggunakan metode learning by doing dengan merancang alat irat bambu yang sesuai dengan postur tubuh para pengrajin. Selanjutnya tim juga akan membuatkan jadwal produksi yang sesuai untuk mengurangi keterlambatan pengiriman produk. pelaksaan program dinyatakan berhasil karena para pengrajin merasa sangat teredukasi dan dimudahkan dengan adanya alat irat bambu sederhana tersebut. Bamboo is one of the abundant natural products in Trenggalek Regency, so you can still find many craftsmen engaged in the home industry to produce woven mats, baskets, and so on. As time goes by, woven products are becoming increasingly rare, this is what makes the prices of woven products increasingly promising. After conducting interviews with the craftsmen, it can be said that the craftsmen complain that they get tired easily during the bamboo woven process, this process is carried out to obtain thin sheets of bamboo which are then woven, using manual techniques, sometimes the bamboo sheets do not have the same thickness. this also ultimately reduces the enthusiasm of craftsmen to carry out production, as a result product delivery to consumers is often delayed. The implementation of the program in this activity uses the learning by doing method by designing bamboo threading tools that suit the body posture of the craftsmen. The application of the learning by doing method in this context not only provides practical solutions but also enhances the skills, enthusiasm, and motivation of bamboo weavers. Furthermore, the team will also create an appropriate production schedule to reduce delays in product delivery. Based on the interview results, the craftsmen feel greatly assisted by the bamboo weaving tool, which turns out to be able to cut time faster, approximately around 11 minutes compared to the manual method.

Klasifikasi Pemenuhan Pilar Sanitasi Puskesmas Menggunakan Metode Naive Bayes Syam, Muhammad Farhan; Hayati, Lilis Nur; Syafie, Lukman
Komputika : Jurnal Sistem Komputer Vol. 12 No. 2 (2023): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v12i2.10336

Sanitation is an attempt to maintain the cleanliness and condition of the surrounding environment. In fulfilling the sanitation pillar in each region, of course we also need the role of health agencies to trigger and provide education. In the village where the scope of the Bontomangape Health Center is located, it is known that the fulfillment of the sanitation pillar is still uneven. Based on this, the author intends to classify the fulfillment of the sanitation pillars of the puskesmas using the Naive Bayes method so that the results of this classification can be used as a benchmark for villages that need to be prioritized by sanitation workers. The classification results obtained were 55 implemented and 20 not implemented for Bontomangape village, 70 implemented and 5 not implemented for Campagaya village, 60 implemented and 15 not implemented for Kalenna village, 45 implemented and 30 not implemented for Parambambe village, 52 implemented and 23 not implemented implemented for Parangmata village, 64 implemented and 11 not implemented for Parasangangberu village, and 57 implemented and 18 implemented for Pattinoang village. The classification results obtained an average accuracy value of 95,81%, a precision value of 94,78% and a recall value of 100%. Keywords – Sanitation; Health; Puskesmas; Classification; Naive Bayes

Pengenalan Huruf BISINDO Menggunakan Chain Code Contour dan Naive Bayes Indra, Dolly; Hayati, Lilis Nur; Irja, Mulianty Cipta
Komputika : Jurnal Sistem Komputer Vol. 13 No. 1 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i1.10360

Digital image processing, also known as digital image manipulation, is a method used to process or manipulate digital images. Digital image processing can address various problem domains, one of which is the recognition of Indonesian Sign Language (BISINDO) letters used by the deaf and speech-impaired individuals for communication. The aim of our research is to develop a digital image-based application that can recognize BISINDO letters from A to Z with a high level of letter similarity accuracy. The BISINDO letter dataset consists of 260 images, divided into an 80% (208 images) training data set and a 20% (52 images) testing data set. The letter recognition process begins with pre-processing, including converting RGB images to grayscale, segmentation using thresholding, morphological opening, and Sobel edge detection. The shape feature extraction is then performed using Chain Code Contour. The values obtained from this feature extraction are used in the final stage, which is the recognition of BISINDO letter images using the Naive Bayes classification method. The research involves two testing scenarios: a database scenario and an out-of-database scenario, each with three dataset divisions: 80:20, 70:30, and 60:40. The results of the database scenario testing with an 80:20 dataset division achieved 100% accuracy, while the 70:30 division achieved 92.3% accuracy, and the 60:40 division achieved 88.4% accuracy. In the out-of-database scenario, the 80:20 dataset division achieved 80.7% accuracy, the 70:30 division achieved 73.07% accuracy, and the 60:40 division achieved 75.9% accuracy. Based on the conducted testing, the best accuracy was obtained with the 80:20 dataset division, achieving 100% accuracy in the database scenario and 80.7% accuracy in the out-of-database scenario. This indicates that the Chain Code Contour shape feature extraction method and Naive Bayes classification method are capable of recognizing BISINDO letters effectively.

Penerapan Metode Random Forest dalam Klasifikasi Huruf BISINDO dengan Menggunakan Ekstraksi Fitur Warna dan Bentuk Indra, Dolly; Hayati, Lilis Nur; Daris, Mega Asfirawati; As'ad, Ihwana; Mansyur, Umar
Komputika : Jurnal Sistem Komputer Vol. 13 No. 1 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i1.10363

Digital image processing is a field of study that focuses on how an image can be formed, processed, and analyzed to generate useful information for humans. In this research, the utilization of digital images is implemented to classify BISINDO (Indonesian Sign Language) letters from A to Z using the Random Forest classification method. The initial stage in the classification of BISINDO letter images involves pre-processing, which includes converting RGB images to grayscale and performing segmentation through three stages: thresholding, morphology, and edge detection using the Prewitt operator. Subsequently, features such as HSV color extraction and metric shape features, as well as eccentricity, are extracted. These extracted feature values are then utilized in the classification stage of BISINDO letter images from A to Z using the Random Forest method. In this study, three data comparison scenarios were employed for testing purposes. The first scenario involved an 80:20 data ratio, which achieved a testing accuracy of 94.2%. The second scenario with a 70:30 data ratio achieved a testing accuracy of 93.6%, while the third scenario with a 60:40 data ratio had a lower accuracy of only 77.9%. Based on the results of our testing, the system developed is capable of effectively classifying BISINDO letters from A to Z using color and shape feature extraction, along with the Random Forest classification method. The best results were obtained in the data comparison scenario of 80:20, achieving an accuracy rate of 94.2%. Keywords – BISINDO, HSV, Metric, Eccentricity, Random Forest.

EVALUASI KEBERGUNAAN PLATFORM PEMBELAJARAN DIGITAL SEKOLAH AL-FITYAN MENGGUNAKAN METODE SYSTEM USABILITY SCALE Magfirah, Magfirah; Hayati, Lilis Nur; Darwis, Herdianti
IDEALIS : InDonEsiA journaL Information System Vol. 7 No. 2 (2024): Jurnal IDEALIS Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v7i2.3151

LMS AFDAL is a learning system that is applied within the scope of SMPIT Al-Fityan School Gowa. This LMS is used to facilitate modern learning. Evaluation of the AFDAL LMS is the first step to assess whether the LMS is well received or not by users. There are many approaches that can be taken in evaluating, one of which is usability evaluation. This study aims to determine the level of usability based on the System Usability Scale method with five variables, namely learnability, efficiency, memorability, errors, and satisfaction with 10 statements as a measure of quality in terms of the usability of the LMS. This research was conducted by distributing questionnaires using google form to 306 respondents consisting of teachers and students via whatsapp. Data processing uses IBM SPSS V26 and Microsoft Excel 2019. The results of the validity and reliability tests are declared valid and reliable. The results of the SUS test show that the final SUS value of 306 respondents' responses is 64.6, according to the rules of SUS interpretation that the score is 64.6 for the Acceptability Ranges level, namely Marginal (quite acceptable), the Grade Scale results in terms of user acceptance levels are included in the C- level, and Adjectives The rating is included in the OK category. These results indicate that the AFDAL LMS is quite accepted by its users, but this figure is quite low so that some improvements are needed to make it even better.

Classifying BISINDO Alphabet using TensorFlow Object Detection API Hayati, Lilis Nur; Handayani, Anik Nur; Irianto, Wahyu Sakti Gunawan; Asmara, Rosa Andrie; Indra, Dolly; Fahmi, Muhammad
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1692.358-364

Indonesian Sign Language (BISINDO) is one of the sign languages used in Indonesia. The process of classifying BISINDO can be done by utilizing advances in computer technology such as deep learning. The use of the BISINDO letter classification system with the application of the MobileNet V2 FPNLite SSD model using the TensorFlow object detection API. The purpose of this study is to classify BISINDO letters A-Z and measure the accuracy, precision, recall, and cross-validation performance of the model. The dataset used was 4054 images with a size of consisting of 26 letter classes, which were taken by researchers by applying several research scenarios and limitations. The steps carried out are: dividing the ratio of the simulation dataset 80:20, and applying cross-validation (k-fold = 5). In this study, a real time testing using 2 scenarios was conducted, namely testing with bright light conditions of 500 lux and dim light of 50 lux with an average processing time of 30 frames per second (fps). With a simulation data set ratio of 80:20, 5 iterations were performed, the first iteration yielded a precision result of 0.758 and a recall result of 0.790, and the second iteration yielded a precision result of 0.635 and a recall result of 0.77, then obtained an accuracy score of 0.712, the third iteration provides a recall score of 0.746, the fourth iteration obtains a precision score of 0.713 and a recall score of 0.751, the fifth iteration gives a precision score of 0.742 for a fit score case and the recall score is 0.773. So, the overall average precision score is 0.712 and the overall average recall score is 0.747, indicating that the model built performs very well.

Pengendalian Resiko K3 pada Industri Kecil Keripik TWM dengan Metode Job Safety Analysis Widari, Nyoman Sri; Nurhayati, Lilis
Journal of Industrial View Vol 6, No 1 (2024): Publikasi Ilmiah Teknik Industri
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jiv.v6i1.12027

Abstract The TWM chip industry produces banana and cassava chips which are in great demand among the public. In this industry, most of the work is still done manually so that labor is the most important component in the production process. The problem encountered is that work accidents still occur quite frequently, where from the results of observations from May to October 2023, an average of 4,166 work accidents occurred. The aim of the research is to identify the risk of work accidents and provide control recommendations so as to reduce work accidents using the Job Safety Analysis method. Based on the results of data analysis, 14 potential dangers were found which were divided into 4 categories, namely the Low risk category 50%, Moderate risk 35.7% and the High risk category 14.3%, while the Extreme risk category did not exist. To reduce the number of accidents that occur, several recommendations that are recommended are the use of trolleys to move heavy loads, the need to use safety gloves when peeling and frying, the use of safety shoes, installing signs in places where accidents often occur, installing fire extinguishers and always checking the condition of the stove, gas cylinder and regulator before and after the frying process. Abstrak Industri keci keripik TWM merupakan yang memproduksi keripik pisang dan keripik ketela yang banyak diminati oleh kalangan masyarakat. Di industri ini sebagian besar pekerjaannya masih dikerjakan secara manual sehingga tenaga kerja merupakan komponen terpenting dalam proses produksi. Permasalahan yang ditemui adalah masih cukup sering terjadi kecelakaan kerja dimana dari hasil observasi selama bulan Mei sampai bulan Oktober 2023 terjadi kecelakaan kerja rata-rata 4,166 kasus. Tujuan dari penelitian adalah untuk melakukan identifikasi resiko kecelakaan kerja serta memberikan rekomendasi pengendalian sehingga dapat mengurangi kecelakaan kerja dengan menggunakan metode Job Safety Analysis. Berdasarkan hasil analisis data ditemukan 14 potensi bahaya yang terbagi dalam 4 katagori yaitu katagori Low risk 50% , Moderate risk 35,7% dan berkatagori High risk 14,3% sedangkan katagori Extreme risk tidak ada. Untuk menurunkan jumlah kecelakaan yang terjadi beberapa rekomendasi yang dianjurkan adalah pemakaian troli untuk memindahkan beban yang berat, perlunya pemakaian safety gloves pada saat pengupasan dan penggorengan, pemakaian safety shoes , memasang rambu rambu ditempat tempat yang sering timbul kecelakaan, pemasangan APAR dan selalu mengecek keadaan kompor , tabung gas dan regulator sebelum dan selesai melakukan proses penggorengan.

PENINGKATAN KUALITAS PRODUKSI KAYU DOWEL SAPU DENGAN PENDEKATAN METODE SEVEN TOOLS DAN 5W + 1H Nurhayati, Lilis; Bellanov, Agrienta
JISO : Journal of Industrial and Systems Optimization Vol. 5 No. 1 (2022): Juni 2022
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v5i1.39-46

Masyarakat pasti memerlukan alat kebersihan berupa sapu. Pegangan sapu umumnya menggunakan bahan dari kayu. Penggunaan material kayu berupa dowel mempunyai beberapa keunggulan yaitu ringan, tidak selip, ramah lingkungan dan murah. Untuk menghadapi persaingan global yang semakin ketat, CV. Yu Jaya Bersama perlu melakukan peningkatan kualitas terhadap produk kayu dowel sapu yang diproduksinya. Penurunan kualitas produksi terjadi karena banyaknya terjadi cacat produk. Metode Seven Tools diharapkan dapat mengetahui sebab dan akibat permasalahan yang terjadi dalam usaha pengendalian kualitas produksi kayu dowel sapu. Selanjutnya dengan metode 5W+1H dapat memberikan usulan perbaikan kualitas dengan memprioritaskan pada penyebab cacat yang paling dominan. Dari analisis Seven Tools diketahui bahwa faktor penyebab kegagalan pengolahan kayu dowel diameter 22 mm panjang 90 cm adalah dari kualitas bahan baku yang digunakan serta sumber daya manusia yang kurang terampil dan terlatih. Cacat produk yang paling dominan adalah cacat patah kayu yang mencapai 49,135% dari keseluruhan total jenis cacat. Usulan perbaikan dengan metode 5W+1H adalah dengan mengunakan material kayu kualitas mahoni prima (grade A), ketrampilan asah pisau dan setting roll terhadap bagian mekanik harus ditingkatkan. Selain itu perlu adanya training untuk karyawan saat awal pemilihan sortir bahan dan proses mesin dowel agar lebih terampil, teliti dan terlatih dalam mengerjakan pekerjaannya.ABSTRACT People definitely need a cleaning tool in the form of a broom. The broom handle generally uses wood. The use of wood material in the form of dowels has several advantages, namely lightweight, non-slip, environmentally friendly and inexpensive. To face the increasingly fierce global competition, CV. Yu Jaya Bersama needs to improve the quality of the dowel broom wood products it produces. The decline in production quality occurs due to the number of product defects. The Seven Tools method is expected to be able to find out the causes and effects of problems that occur in an effort to control the quality of dowel broom wood production. Furthermore, the 5W+1H method can provide quality improvement proposals by prioritizing the most dominant causes of defects. From the analysis of Seven Tools, it is known that the factors causing the failure to process dowel wood with a diameter of 22 mm and a length of 90 cm are the quality of the raw materials used and the lack of skilled and trained human resources. The most dominant product defects were wood fractures, which accounted for 49.135% of the total types of defects. The proposed improvement with the 5W+1H method is to use prime quality mahogany wood (grade A). Knife sharpening skills and roll settings for mechanical parts must be improved. In addition, there is a need for training for employees at the beginning of the selection of sorting materials and the dowel machine process so that they are more skilled, thorough and trained in doing their jobs.

Co-Authors A?ayunnisa, Nurul Abdi, Muhammad Alim Abdul Wahab Abdullah, Syahrul Mubarak Agung, Riski Dewa Aji, Fery Setyo Akbar, Muhammand Ali Munawir Amir, Nur Hikmah Amrin, Fery Andriawan Andi Rizaldi Pratama Andika Syaputra Andrian, David Anik Nur Handayani Ansari Ansari As'ad, Ihwana Asdar Djamereng Astuti, Wistiani Atmajaya, Dedy Ayu Aksari AZUZ, FAIDAH Bellanov, Agrienta Bora, Leni J Cahya Wulandari, Lusi Mei Damanhuri, Nor Salwa Damayanti, Florencia Agatha Daris, Mega Asfirawati Darwis, Herdianti Dewantoro, Albertus Daru Dewi Pancawati Novalita, Dewi Pancawati Dian Dian Dimas, Ravael Djamereng, Asdar Dolly Indra Dwi Nur Halizah Elvira Siruna Fadly Achmad Fattah, Farniwati Febriyanti, Rina Fery Andriawan Amrin Fery Setyo Aji Fikar, Sul Firmiaty, Sri Fitriyani Umar Halimahtul Wildan Haris, Najwan Firdaus Harjuna, Muhammad Harlinda Lahuddin Harun, Makmur Hatta, Andi Muhammad Iqra Rezky Hazjuang, Muhammad Fatwa Herdianti Darwis Herdianti Herdianti Herman Herman Herman Hermany, Nurul Inayah Huda, Besse Nurul Indra, doly Irawati - Irawati Irawati Irawati Irawati Irawati Irja, Mulianty Cipta Irwan Ardyansah Irwan Irwan Ismail, Wawan Iwanto, Agustinus jabir, sitti rahmah Jeremy, Jason Jihan Fatihah Ismiralda Kharawan, Athifah Arsa Kononis, Elisabet Priska Arkadewi Kristiani, Poppy Marselina Lasman Parulian Purba Lokapitasari Belluano, Poetri Lestari Lukman Syafie Magfirah, Magfirah Manga, Abdul Rachman Massa, Paschal Nicollas Dominggo Mude, Muh. Aliyazid Muh Alim Abdi Muhammad Agus Muljanto Muhammad Alim Abdi Muhammad Alwi Muhammad Arif Muhammad Bayu Rahmat Muhammad Dzuljalali Wal Ikram Muhammad Firdaus Banjar Muhammad Ikhsan Supriyadi Muhammad Nazar Alfath Mukarramah, Rifqatul Munawir Munawir Munawir Nasir Hamzah Munawir, Ali Nasir, Haidawati Nathanael, Randy Abednego Nia Kurniati Novianti, Nabila Nugroho, Afifah Khairunnisa Nurfadillah Said Nurlinda Nurlinda Nurul Kholifah Yulinda Nurul Rismayanti Purba, Lasman Parulian Purnawansyah Purnawansyah Purnawansyah R, M Yusuf Rafael, Ivan Rahbiah, Sitti Ramdan Satra Ratnawaty, Latifah Resky Anugrah Rezky Anugrah Rezky Anugrah Rini Andari, Rini Risti Amelia Rosa Andrie Asmara Sahelangi, Milly Maria Salim, Yulita Salmat, Surya Mudti Saripah Fitriani Satma, Satma Setia Budi, Muh Arif Situju, Nurwaini Sri Hartini Sugiarti Sugiarti Sugiarti Sul Fikar Sulfikar Sulfikar Surachmad, Winarto Surya Mudti Salmat Syafie, Lukman Syam, Muhammad Farhan Tenripada, A Ulfah Ulhaq, Muhammad Dhiya Umar Mansyur Umniah Umniah Valentino, Teofilus Veithzal Rivai Zainal Wa Ode Tanti Wahyu Sakti Gunawan Irianto Wahyudi, Yasyfa Xena Arleyda Wal Ikram, Muhammad Dzuljalali Wibowo, Nanang Roni Widari, Nyoman Sri Widyawati, Dewi Winarto Surachmad Wisti Astuti Yulita Salim Yundari, Yundari

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