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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional Jupiter SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknologi Informasi dan Ilmu Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA INOVTEK Polbeng - Seri Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Sains dan Informatika : Research of Science and Informatic J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMPUTIKA - Jurnal Sistem Komputer JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming METIK JURNAL JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Jurnal Mantik JUKANTI (Jurnal Pendidikan Teknologi Informasi) Journal of Applied Engineering and Technological Science (JAETS) JURSIMA (Jurnal Sistem Informasi dan Manajemen) JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Idealis : Indonesia Journal Information System Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Kolaborasi Jurnal Pengabdian Masyarakat Jurnal Teknoif Teknik Informatika Institut Teknologi Padang IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Masyarakat Madani Indonesia eProceedings of Engineering Jurnal Pengabdian Masyarakat Bangsa JURSIMA SATIN - Sains dan Teknologi Informasi Jurnal Abdimas Indonesia Jurnal Informatika: Jurnal Pengembangan IT Jurnal Sistem Informasi dan Manajemen Jurnal Pengabdian Sosial RESLAJ: Religion Education Social Laa Roiba Journal Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jnanadharma KOMPUTASI
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Pemberian Kredit Telepon Seluler Menggunakan Metode Topsis Pada Mars Phone Cell Tasikmalaya Ardianto, Rian; Herliana, Asti; Wardhani, Annisa Risqi Sulistya Kusuma; Fuady, Tb. Dedy; Aldo, Dasril
JURSIMA Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.458

Abstract

Adanya ide baru dalam strategi penjualan gadget sangat diperlukan untuk dapat memenuhi kebutuhan segmentasi masyarakat tersebut dengan memberikan kemudahan dan keringanan secara persyaratan dan prosedur membeli handphone secara kredit. Dengan semakin mudahnya sistem jual beli secara kredit sehingga menarik perhatian masyarakat untuk lebih mudah lagi dalam memiliki telepon seluler dengan keringanan pembayaran yang diberikan secara diangsur. Opsi terakhir yang disarankan diperoleh dengan menggabungkan alternatif statis dengan nilai bobot terbesar untuk setiap kriteria berfungsi mengidentifikasi debitur yang layak mendapatkan kredit ponsel. Jarak euclidean digunakan untuk mengukur seberapa dekat suatu alternatif dengan solusi ideal dalam metode TOPSIS, yang merupakan proses pengambilan keputusan multi kriteria. Alternatif yang dipilih harus, dari sudut pandang geometris, menjadi yang paling dekat dengan solusi ideal positif dan terjauh dari solusi ideal negatif. Keluaran sistem dapat menawarkan saran peringkat tergantung pada bobot yang paling signifikan. Dengan penggunaan pendekatan ini, kreditur dapat memilih debitur yang memenuhi syarat untuk kredit.
Sistem Informasi Mengenalkan Makanan Khas Jawa Tengah Menggunakan Multimedia Interaktif Wijiantoro, Endro Muhammad Akbar; Abimanyu, Abimanyu; Wijaya, Edwin Adhi; Kamaludin, Farhan Rasyid; Ramadhan, Jaka Lintang; Aldo, Dasril
JURSIMA Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.481

Abstract

Masakan daerah Indonesia sangat beragam dan hampir setiap daerah memiliki makanan tradisional yang mewakili gaya budaya daerah tersebut, namun dalam banyak kasus makanan tersebut tidak diketahui masyarakat luas. Dalam studi ini, peneliti menganalisis makanan khas di Jawa Tengah untuk memahami isu-isu yang ada, membuat pengenalan ini melalui media multimedia interaktif, dan mengedukasi masyarakat luas tentang topik ini. Dalam hal ini peneliti membuat animasi edukasi yang memperkenalkan makanan khas Jawa Tengah. Multimedia interaktif adalah format yang menggunakan teknologi yang memungkinkan Anda untuk menyajikan informasi secara interaktif menggunakan laptop atau smartphone Anda, sehingga perkembangan multimedia ini memungkinkan Anda untuk mengintegrasikan penggunaan teknologi ke dalam proses pembelajaran Anda. Penggunaan media yang monoton tidak dapat memberikan visualisasi yang nyata, yang berdampak pada kurangnya pemahaman terhadap apa yang diungkapkan, terutama dalam proses menghafal ciri-ciri daerah yang memerlukan visualisasi. Model pengembangan dimulai dengan menggunakan metode pembelajaran baru untuk menganalisis apa yang dibutuhkan untuk pengembangan sistem dan menguji kelayakan dan persyaratan untuk mengembangkan metode baru. Selanjutnya peneliti membuat desain antarmuka dan skenario dari animasi yang kita buat. Selanjutnya untuk mendapatkan pengguna yang tertarik dengan animasi, peneliti menggunakan aplikasi Adobe Flash untuk mendesain animasi yang sesuai dengan konsep desain sebelumnya. Ini memungkinkan Anda untuk mengimplementasikan animasi yang sudah jadi di dunia nyata. Kami akan terus mengevaluasinya secara berkala dan memperbaiki bug yang dapat segera diperbaiki. Hasil akhir berupa halaman yang meliputi halaman pembuka, halaman awal, halaman awal, tentang, info, peta, brebes, dan wilayah Jawa Tengah. Survei yang dilakukan dengan menggunakan metode ADDIE menciptakan sistem analisis, desain, pengembangan, implementasi, dan evaluasi, dan forum tempat Anda dapat mempelajari cara menambahkan wawasan ke detail wilayah Jawa Tengah
Elevasi Brand “LIMPUS” Melalui Kreativitas Digital: Program Pelatihan Konten Media Sosial dan Video Promosi Aldo, Dasril; Nur, Yohani Setiya Rafika; Lishobrina, Lina Fatimah; Firmansyah, Muhammad Raafi'u; Sulaeman, Gilang; Fathoni, M. Yoka
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 7, No 3 (2024): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v7i3.6786

Abstract

Dalam upaya meningkatkan kesadaran dan partisipasi masyarakat terhadap literasi serta pelestarian lingkungan melalui platform digital, program "Elevasi Brand 'Limbah Pustaka' Melalui Kreativitas Digital" telah dilaksanakan. Program dua hari ini dirancang untuk mengasah keterampilan digital para peserta, meliputi pengenalan dan praktik pembuatan konten media sosial dan video. Hari pertama fokus pada pengenalan YouTube, podcast, dan peran content creator, dilanjutkan dengan praktik pembuatan channel YouTube dan pengelolaan video yang efektif, termasuk pengambilan dan editing video. Hari kedua mengedepankan pentingnya kesadaran lingkungan melalui media digital, pengenalan Canva, serta praktik pembuatan poster dan konten visual lainnya. Hasil dari program ini menunjukkan peningkatan signifikan dalam kemampuan peserta dalam mengelola konten digital yang kreatif dan informatif, sekaligus meningkatkan branding dan visibilitas 'Limbah Pustaka' dalam masyarakat luas. Program ini menunjukkan bahwa dengan pelatihan yang tepat, teknologi digital dapat menjadi alat yang efektif untuk promosi dan edukasi publik terkait isu-isu penting seperti literasi dan pelestarian lingkungan.
Sistem Informasi Persediaan Barang Operasional Hotel Berbasis Web Aldo, Dasril; Nengsih, Yeyi Gusla; Wijaya, Trisno
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.452

Abstract

Lovina Inn Hotel is a hotel that provides services to tourism guests in Batam City. At this time, in storing inventory data, it still uses a record book, so that when searching for inventory information, incoming and outgoing goods are still carried out in a recording form. The purpose of this study is to design an information system for operational goods inventory at the Lovina Inn hotel so that it makes it easier to manage data by not doing manual recording. With the application of a structured analysis model method for the creation of an Operational Inventory Information System, it can make it easier to build a system using the PHP language (Hypertext Preprocessor) and a database using MySQL. This application is designed to make it easier for the hotel to manage the incoming and outgoing stock of goods to the hotel operational inventory report
Sistem Informasi Persediaan Barang Operasional Hotel Berbasis Web Aldo, Dasril; Nengsih, Yeyi Gusla; Wijaya, Trisno
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.452

Abstract

Lovina Inn Hotel is a hotel that provides services to tourism guests in Batam City. At this time, in storing inventory data, it still uses a record book, so that when searching for inventory information, incoming and outgoing goods are still carried out in a recording form. The purpose of this study is to design an information system for operational goods inventory at the Lovina Inn hotel so that it makes it easier to manage data by not doing manual recording. With the application of a structured analysis model method for the creation of an Operational Inventory Information System, it can make it easier to build a system using the PHP language (Hypertext Preprocessor) and a database using MySQL. This application is designed to make it easier for the hotel to manage the incoming and outgoing stock of goods to the hotel operational inventory report
TEXT CLASSIFICATION OF BULLYING REPORTS USING NLP AND RANDOM FOREST. Aldo, Dasril; Paramadini, Adanti Wido; Fathoni, M. Yoka
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.4032

Abstract

Bullying is a great concern that needs to be dealt with as early as possible, be it in the form of physical, verbal, social or cyber bullying. Using NLP algorithms, this paper intends to classify bullying report using Natural Language Processing in conjunction with Bag of Words. The study employs quantitative methodology. A total of 4671 reports of bullying are in essence categorized into physical, verbal, social, cyber and non-cyber bullying. We split the dataset into 80% training set (3737 reports) and 20% testing set (934 reports). The above model has achieved an accuracy of 94,76%, with good values of recall, precision and F1-score: 94,64%, 95,02% and 94,97% respectively. The dataset is then analyzed using Random Forest algorithm and Report of the Bullying Survey The model is to be effective in automatic Detection of Textual Bullying Reports Automated. While there has been no such effort in our institutions so far, automatic reporting of bullying will prove to be effective. This is because the system will allow a school or institution to have a precise constant monitoring of bullying reports. It will also allow an instantaneous action to be taken to protect the victim without letting the situation escalate.
COMPARISON OF ACTIVATION AND OPTIMIZER PERFORMANCE IN LSTM MODEL FOR PURE BEEF PRICE PREDICTION Dasril Aldo
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.6115

Abstract

One of the primary factors impacting the economy is the ability to forecast the prices of commodities such as beef. This paper aims to evaluate the effectiveness of various activation functions and optimization strategies when integrated into the LSTM (Long Short-Term Memory) architecture model in predicting the price of lean beef in Aceh. The data sample utilized was obtained from the Indonesian National Food Agency panel, which shows daily prices for beef within the time frame of July 14th, 2022, to July 31st, 2024. As for the conducted research, the process of preparation data preprocessing, partitioning data into training, validation and test sets and the actual execution of the LSTM model which was trained using four different types of activation functions: tanh, ReLU, sigmoid and PReLU together with three different optimizers: Adam, Nadam and RMSprop for 50, 70, 100 and 200 training iterations. The evaluation metrics employed were Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and the coefficient of determination (R-squared). The best performance was recorded at 200 epochs with the combination of PReLU activation function and Nadam optimizer, which had the best performance with RMSE = 2.56, MAPE = 0.65% and R² = 0.104. This combination was more effective than others since it depicted better overall performance in identifying complex non-linear relationships that existed in the price data. Further on, Nadam seems to have benefits in terms of allowing the model to converge faster and making the training more stable. This work stresses the selection of activation functions and optimization methods when building LSTM models aimed at forecasting prices of commodities with large volatility. It will be very helpful in developing better predictive models and decision-making processes in the agro-business. Another way to enhance predictive performance could be changing the model architecture or using different techniques, such as attention mechanisms.
CAUSAL MODELING OF FACTORS IN STUNTING USING THE PETER-CLARK AND GREEDY EQUIVALENCE SEARCH ALGORITHMS Yohani Setiya Rafika Nur; Aminatus Sa’adah; Dasril Aldo; Bidayatul Masulah
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.6184

Abstract

Stunting is one of the nutritional problems that can hinder the growth and development process in toddlers. Untreated stunting can lead to fatal outcomes. Previous research on the factors that exist in the incidence of stunting mostly used multivariate analysis. Previous research on stunting factors has primarily used multivariate or correlation analyses. However, this study uniquely focuses on establishing causal relationships between these factors, a crucial step in improving early diagnosis for stunting prevention and treatment. The data used in this research was 83 data on stunting incidents and consisted of eight parameters. The purpose of this study is to model the causal relationship between factors that represent the incidence of stunting. This study uses two simple causal approaches, namely the Peter-Clark (PC) algorithm to obtain the initial concept of a graph model of the relationship between variables and the Greedy Equivalence Search (GES) algorithm to refine the model by obtaining the direction of the causal relationship. There are six bi-directed relationships that have been found, namely from food variables to support; maternal knowledge with sanitation; Height/Age and Weight/Age with Child Nutrition; height/age with weight/age and stunting. In addition, both algorithms in this study have successfully obtained a causal model, by comparing performance using directional and causal densities that the GES algorithm was able to identify a relationship of 0.66 compared to the PC algorithm.
Implementation of Natural Language Processing for Bullying Complaints with Voice to Text Conversion Miftahul Ilmi; Miftahul Ilmi; Dasril Aldo; Sapta Eka Putra; Adanti Wido Paramadini; Yohani Setiya Rafika Nur
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4506

Abstract

Bullying in high school is frequent and negatively affects students' psychological well-being. The lack of effective reporting mechanisms makes students hesitant to report bullying cases for fear of their identity being exposed, which can lead to stigma or retaliation. The lack of data on bullying incidents also hampers prevention and intervention measures. The study designed and implemented a mobile application that uses natural language processing (NLP) for speech-to-text conversion, enabling anonymous and convenient reporting of bullying cases. The app ensures the anonymity of whistleblowers and facilitates the collection of accurate data on bullying incidents, helping schools respond with appropriate preventive measures. Software engineering methodologies are used with a focus on requirements analysis, system design, implementation, and application testing. NLP technology is used to interpret verbal instructions into text, with the Support Vector Machine (SVM) method for text classification, ensuring high accuracy in detecting bullying incidents. The trial application in several high schools showed the relevance and effectiveness of the application. Ethical and security considerations are top priorities, with an emphasis on whistleblower identity protection and data security. The test results showed that the application achieved 92% accuracy, 90% precision, and 88% recall, demonstrating its effectiveness in collecting bullying reports anonymously and accurately.
Rancang Bangun Sistem Pengelolaan Data Distribusi Pupuk Pertanian Di Desa Genuksuran Menggunakan Metode Agile Yoga Madhasatya, Satriya; Aldo, Dasril
eProceedings of Engineering Vol. 12 No. 2 (2025): April 2025
Publisher : eProceedings of Engineering

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

Abstract

Permasalahan dalam sektor pertanian di Desa Genuksuran mencakup kendala serius dalam pengelolaan data distribusi pupuk, yang meliputi pencatatan data secara manual, kesalahan input, dan kurangnya transparansi informasi kepada pihak aparat desa. Hal ini menghambat efisiensi dan akurasi dalam proses distribusi pupuk, yang pada gilirannya berdampak negatif pada ketahanan pangan dan pertumbuhan ekonomi lokal. Untuk mengatasi masalah tersebut, penelitian ini merancang dan mengembangkan sistem pengelolaan data distribusi pupuk berbasis website dengan menggunakan metode Agile. Metode Agile dipilih karena kemampuannya untuk adaptasi terhadap perubahan kebutuhan selama prosespengembangan. Tahapan metode Agile terdiri dari requirements, design, development, testing, deployment, dan review. Sistem yang dibangun mencakup fitur untuk pencatatan data pemasukan pupuk, pengelolaan distribusi, pemrosesan pembayaran, dan pembuatan laporan yang terintegrasi. Hasil pengujian sistem menunjukkan bahwa semua fitur berfungsi dengan baik, dengan tingkat keberhasilanmencapai 100%. Penelitian ini diharapkan dapat meningkatkan akurasi dan transparansi dalam pengelolaan data distribusi pupuk, serta memberikan manfaat signifikan bagi masyarakatpetani di Desa Genuksuran.Kata kunci— Sektor Pertanian, Pengelolaan Data, Distribusi Pupuk, Website, Agile
Co-Authors A.A. Ketut Agung Cahyawan W Abdillah, Alifia Dhia Abimanyu Abimanyu Achmad Solichin Adanti Wido Paramadini Adhe Nuzula Ramadlana Adriano, Riftian Dimas Affiyanti, Rakhma Yuli Afif Dwi Laksono Agung Irman Syaifudin Agustianto, Satya Helfi Ahmad Faishal Fahrisena Ahmad Riau Ardi Ahmad Rijal Arifin Ahmadi Ahun Ismi Aziz Ajeng Ayu Suryani Ajeng Dyah Kurniawati Aksaningtyas, Laeli Lutfiana Al 'Arifah, Difla Mazidah Al Faiz, M. Hanif Alfan Rizki Juliano Azitya Alifia Dhia Abdillah Alika, Shintia Dwi Alwendi, Alwendi Alzi Mula Baharsyah Amanah, Farah Sofiatul Nur Aminatus Sa’adah An-Naayif, Hanief Taqiyuddien Adz-Dzaky Andi Sano, Andreas Novito Andika Bayu S Andre Citro Febriliyan Lanyak Annisa Risqi Sulistya Kusuma Wardhani Apri, Muhamad Ar rasyid, Fauzan Cholis Ardanu, Riski Fitria Ardi - Ardi Ardi Ardi Ardi Ardi, Ahmad Riau Ardianto, Rian Arifin, Ahmad Rijal Army, Widya Lelisa Arrasyid, Zidhan Asti Herliana, Asti Auliya Burhanuddin Aziz, Ahun Ismi Bagus Ahmad Setiawan Baharsyah, Alzi Mula Bidayatul Masulah Bita Parga Zen Briliana, Carlita Wahyu Chevin, Virginawan Alessandro Dading Qolbu Adi Dading Qolbu Adi Damiana Trivinita L. B Dana Eko Wahyu Pambudi Danny Kurnianto Darmansah Darmansah, Darmansah Dedi Rahman Habibie Dedi Rahman Habibie Dedy Agung Prabowo Dedy Mirwansyah Deni Prasetyo Deni Prasetyo, Deni Denis Oktawandira Dewi Larasae Diah Ayu Lestari Diah Ayu Lestari, Diah Ayu Dian Maharani Dian Maharani Dian Riliyanda Difla Mazidah Al 'Arifah Dika Alim Mu’adin Dwi Satrio, Imam Edwin Adhi Wijaya Eko Wahyu Pambudi, Dana Elizabeth Christina Endro Muhammad Akbar Wijiantoro Fadhilatus Salamah, Khanif Rahmah Fahrezy, Fiqry Fahmy Dwe Fahrisena, Ahmad Faishal Fahrullah Fahrullah Faiz, M. Hanif Al Faizah Faizah Fajar Maulana . Farah Sofiatul Nur Amanah Farhan Aryo Pangestu Farhan Rasyid Kamaludin Farhan Yudha Pratama Fathan, Faizal Burhani Ulil Fau, Andrew Fauzi Ahmad Muda Febriliana, Miranda Dwi Feri Yasi Filfimo Yulfiz Ahsanul Hulqi Fiqrian, Muhammad Nafal Fiqry Fahmy Dwe Fahrezy Firmansyah, Muhammad Raafi'u Fuady, Tb. Dedy Gigih Attayauban Purnomo Gusla Nengsih, Yeyi Gustiwa, Risang Abdurrahman Hakim, Faiq Mufrih Halim Pratama, Muhammad Fajrul Hammam, Nizar Dhafirul Hanugrah Surya Purwaka Hariselmi Hariselmi Hariselmi Hariselmi Hariselmi, Hariselmi Hasby Arrahman Hermawaty Hermawaty Hidayat, Afifah Naurah Hutama, Iqbal Yoga Ihsan Maulana Ilwan Syafrinal Iqbal Yoga Hutama Irfan Venny Rahmayanti Irfanza Fadhly, Rafy Islam, Melinta Nurul Ismail Nur Fuadi Jaka Lintang Ramadhan Kamaludin, Farhan Rasyid Khairunnisa Samosir Khanif Rahmah Fadhilatus Salamah Kisviantari, Rizkyna Sekar Kristina Natasia Sinurat Kurniawan, Adrian Kurniawat, Ajeng Dyah Larasae, Dewi Lathif Luqmanul Hakim Lina Fatimah Lishobrina Linda Qornaeni Luqman Wahyudi M Yoka Fathoni M. Aldi Yudhi Pradana Mahazam Afrad Maryona Septiara Maulana Faridzal Eka Nugraha Maulana, Fajar Maulana, Ihsan Maulana, ⁠Ihsan Maulida, Elsa Melinda Br Ginting Melinta Nurul Islam Miftahul Ilmi Miftahul Ilmi, Miftahul Miranda Dwi Febriliana Muadin, Dika Alim Muhamad Apri Muhamad Apri Muhamad Azrino Gustalika Muhammad Afrizal Amrustian Muhammad Agus Muljanto Muhammad Briliantama Putra Muhammad Husni munir, Zainul Munir Nafidanisa Nanda Arista Rizki Nariza Wanti Wulan Sari Nia Annisa Ferani Tanjung Nicolaus Nizar Dhafirul Hammam Novanda Alim Setya Nugraha Nugraha, Alfa Yudha Nugraha, Maulana Faridzal Eka Nursaka Putra NURUL HIKMAH Nurul Hikmah Nyimas Ananda Putri Mulyono Oktavia, Laksmi Dwi Oktawandira, Denis P , Affriza Brilyan Relo Pambudi Agus Pambudi, Dana Eko Wahyu Pamuji, Yanuar Ikhsan Pangestu, Farhan Aryo Pradana, M. Aldi Yudhi Prakoso, Thorik Agung Pratama, Farhan Yudha Purnomo, Gigih Attayauban Putra, Muhammad Briliantama Putri, Yuliarni Rahayu, Trisna Kenti Rakhma Yuli Affiyanti Ramadhan, Firman Adi Ramadhan, Jaka Lintang Ramadhani, Rima Dias Ramadlana, Adhe Nuzula Rania Nur Hikmah Raspati, Mochamad Ravy Ratna Budiarti Dwi Rahayu Reza Iqbal Pramudya Rian Ardianto Rian Ardianto Richki Hardi Richo Richo Rifa Yanti Risfendra, Risfendra Riski Fitria Ardanu Riswan Azhari Riyani, Annisa Defitriana Rizkyna Sekar Kisviantari Rostina Rostina Rostina Rostina Sa'adah, Aminatus Sahara Sahara Salsabila, Luciana Sandhy Fernandez Sapta Eka Putra Saputra , Wahyu Andi Saputra, Candra Eka Saputra, Sandra Saputri, Sekar Isnaeni Nurul Saragih, Lorance Saraswati, RR Michelle Dewi Sarwenty, Putri Nabilah Satya Nur Hutama Sekar Isnaeni Nurul Saputri Setiawan, Bagus Ahmad Setyawan Suroso Sinurat, Kristina Natasia Sophia Deo Sandeva Sri Mulyani Sudianto, Sudianto Sulaeman, Gilang Suleman, Gilang Suprapto, Amelia Rut Suroso, Setyawan Susi Irwanti Susie Susie Syahputra, Dio Syaifudin, Agung Irman Tb. Dedy Fuady Tegar Alamsyah Tohari, Mohammad Amin Tondang, Beny Alphon Toni Anwar Trihastuti Yuniati Trisna Kenti Rahayu Usman, Muhammad Lulu Latif Utami, Annisaa Wanda Ilham Wanda Ilham Wardhani, Annisa Risqi Sulistya Kusuma Wendra, Yumai Widya Lelisa Army Wijaya, Edwin Adhi Wijaya, Trisno Wijiantoro, Endro Muhammad Akbar Yasin, Feri Yoga Madhasatya, Satriya Yogo Dwi Prasetyo Yohani Setiya Rafika Nur Yoka Fathoni, M. Yumai Wendra Yunita, Salsabila Firda Zefanya Yuni Br, Syaloom