Article Per Year (5 Year)
p-Index From 2021 - 2026
10.31
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JIK Jurnal Ilmu Komputer Jurnal Simetris Format : Jurnal Imiah Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputasi IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Rekam Medis dan Informasi Kesehatan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi J I M P - Jurnal Informatika Merdeka Pasuruan JURNAL EDUCATION AND DEVELOPMENT JURNAL TEKNOLOGI DAN OPEN SOURCE Hearty : Jurnal Kesehatan Masyarakat IKRA-ITH ABDIMAS JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Pendidikan dan Konseling Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Abdi Insani JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI JPM: JURNAL PENGABDIAN MASYARAKAT INSERT: Information System and Emerging Technology Journal Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Impresi Indonesia PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Ilmu Multidisplin Jurnal Indonesia Sosial Teknologi Innovative: Journal Of Social Science Research Majalah Ilmiah METHODA Media Abdimas Jurnal Informatika: Jurnal Pengembangan IT Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Manajemen dan Teknologi Jurnal Informatika Dan Tekonologi Komputer Jurnal Karya untuk Masyarakat (JKuM) Jurnal Komputasi Jurnal Nasional Komputasi dan Teknologi Informasi ABDINE :Jurnal Pengabdian Masyarakat Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Ichwani, Arief
Universitas Esa Unggul
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 81 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 81 Documents
Search

 5   6   7   8   9 
Prediksi Harga Komoditas Hortikultura Pangan Strategis Menggunakan Random Forest dengan Analisis SHAP Valencia Patrice Gracia Pangaribuan; Bayu Sulistiyanto Ipung Sutejo; Gerry Firmansyah; Arief Ichwani
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 03 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i03.1804

Abstract

Price fluctuations in strategic horticultural food commodities can affect food and economic stability. This study aims to predict the prices of shallots, garlic, red chilies, and bird’s eye chilies in Central Java Province using Random Forest Regression based on historical prices and climate variables, and to interpret climate variable contributions using Shapley Additive Explanations (SHAP). Price data were obtained from the National Strategic Food Price Information Center (PIHPS), while climate data were collected from four BMKG stations during 2018–2025. The model used 16 features, including historical prices, average temperature (TAVG), average humidity (RH_AVG), rainfall (RR), rolling features, and calendar variables. Evaluation was conducted using MAE, RMSE, and MAPE at H+1, H+7, and H+30 forecasting horizons. The results show that the best performance was achieved for garlic price prediction at H+1, with a MAPE of 1.69%, while the highest error occurred for red chili at H+30, with a MAPE of 26.72%. SHAP analysis shows that TAVG was dominant in chili commodities, while RR and RH_AVG had greater influence on shallots and garlic. These findings indicate that Random Forest and SHAP can support short-term price prediction with interpretable climate variable contributions.
Digital Transformation of Roopa Roopa Kue MSME through the Implementation of Website-Based E-Commerce and Strengthening of Business Management Nizirwan Anwar; Dony Saputra; Arief Ichwani
PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 3 (2026): Agustus
Publisher : Fakultas Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/pakdemas.v5i3.775

Abstract

Transformasi digital menjadi kebutuhan strategis bagi usaha mikro, kecil, dan menengah (UMKM) untuk memperluas jangkauan pasar, meningkatkan efisiensi pemasaran, serta memperkuat tata kelola usaha. UMKM Roopa Roopa Kue di Marunda, Jakarta Utara, masih menghadapi sejumlah kendala, antara lain pemasaran yang didominasi metode konvensional, belum tersedianya website e-commerce, serta pengelolaan usaha yang belum terstruktur pada aspek perencanaan bisnis, pembagian sumber daya manusia, pencatatan keuangan, dan pengelolaan pelanggan. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan kapasitas digital dan manajerial mitra melalui penerapan e-commerce berbasis website yang terintegrasi dengan penguatan manajemen usaha. Program dilaksanakan pada 20 Juni dan 3 Agustus 2026 dengan menggunakan pendekatan partisipatif dan transfer teknologi melalui lima tahapan, yaitu sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi. Kegiatan melibatkan tim dosen, mahasiswa, dan anggota mitra. Hasil program berupa pengembangan website e-commerce roepacake.com yang terintegrasi dengan media sosial, peningkatan kemampuan mitra dalam mengelola katalog produk, transaksi digital, dan pemasaran daring, serta tersusunnya blueprint usaha, struktur organisasi, sistem pencatatan keuangan sederhana, analisis SWOT, dan basis pengelolaan pelanggan. Hasil evaluasi juga menunjukkan bahwa mitra mampu melakukan simulasi pengelolaan website dan aktivitas pemasaran digital secara lebih mandiri. Program ini berkontribusi terhadap peningkatan kesiapan digital dan penguatan tata kelola usaha Roopa Roopa Kue. Keberlanjutan program memerlukan konsistensi pembaruan konten, peningkatan literasi digital, pemanfaatan data pelanggan, dan pendampingan berkala agar transformasi digital dapat memberikan dampak yang lebih berkelanjutan terhadap pengembangan usaha.
DESIGN OF A WEB-BASED EPIDEMIOLOGICAL SURVEILLANCE REPORTING DIAGNOSIS DATA AUTOMATION SYSTEM AT X HOSPITAL Muhammad Al Chanif; Mieke Nurmalasari; Hozizah Markam; Arief Ichwani
HEARTY Vol 14 No 5 (2026): OKTOBER
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v14i5.23296

Abstract

The development of information technology encourages hospitals to improve the quality of health data management, including mandatory epidemiological surveillance reporting according to regulations. The difference in diagnosis formats between the ICD-10 standard and the Health Office reporting format remains an obstacle because the conversion process is carried out manually, potentially causing errors and delays in reporting. This study aims to design a web-based diagnosis data conversion automation system to improve the efficiency and accuracy of epidemiological surveillance reporting at Hospital X. The research method uses a qualitative descriptive approach through observation, interviews, and documentation studies, and system development uses the System Development Life Cycle method with a Waterfall approach that includes needs analysis, system design, implementation, testing, and operation and maintenance. The results of the research at the system needs analysis stage indicate the need for a diagnosis conversion automation system to improve the efficiency of epidemiological surveillance reporting. The design stage includes system modeling using UML (Unified Modeling Language) and UI (User Interface) user interface design. The implementation stage produces a web-based application using JavaScript, Node.js, and MySQL with Excel file upload features, diagnosis text conversion, and reference data management. The testing stage using Black Box Testing shows that all functions run as needed. The operation and maintenance phase shows that the system is running stably, is easy to use, and that system maintenance supports epidemiological surveillance reporting effectively, efficiently, and sustainably.
IMPLEMENTASI REMULT DALAM PENGEMBANGAN SISTEM LOGBOOK KOMPETENSI LSP TAMBANG MINERBA INDONESIA SESUAI TECHNICAL PROCESSES ISO/IEC/IEEE 12207:2017 Muhammad Rizkiansyah; Maimun Maimun; Arief Ichwani; Theodora Maria Putri Komul
Jurnal Education and Development Vol 14 No 3 (2026): Vol 14 No 3 September 2026
Publisher : Institut Pendidikan Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37081/ed.v14i3.8508

Abstract

Pemeliharaan kompetensi pemegang sertifikat (surveillance) pada Lembaga Sertifikasi Profesi Tambang Minerba Indonesia (LSP-TMI) membutuhkan pendokumentasian rekam jejak aktivitas harian atau logbook yang terstruktur. Pengelolaan data logbook secara konvensional rentan terhadap inefisiensi, risiko redundansi, serta kesulitan dalam proses pemantauan oleh asesor. Oleh karena itu, penelitian ini bertujuan untuk merancang dan membangun Sistem Logbook Asesi berbasis web guna menjadi sarana dalam pemeliharaan kompetensi yang sudah dimiliki oleh pemegang sertifikat. Pengembangan sistem ini mengadopsi standar siklus hidup perangkat lunak dengan membatasi ruang lingkup implementasi hanya pada kelompok Technical Processes berdasarkan ISO/IEC/IEEE 12207:2017. Arsitektur perangkat lunak dibangun menggunakan bahasa pemrograman TypeScript dengan framework SvelteKit untuk penanganan server-side rendering (SSR) dan antarmuka pengguna. Pengelolaan lapisan database relasional MariaDB dikonfigurasi melalui library Remult guna mendefinisikan entitas secara deklaratif, sementara penyimpanan berkas bukti fisik diimplementasikan menggunakan layanan object storage Cloudflare R2. Deployment sistem dilakukan pada staging environment di dalam Virtual Private Server (VPS) agar pengujian terisolasi dari server produksi utama.
STUDI SIMULASI DETEKSI EMAIL PHISHING BERBASIS NLP MENGGUNAKAN TF-IDF DENGAN SUPPORT VECTOR MACHINE DAN RANDOM FOREST Muhamad Ali Mubarok; Nizirwan Anwar; Arief ichwani; Raden Teddy Iswahyudi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 3 (2026): IKRAITH-INFORMATIKA Vol 10 No 3 November 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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

Abstract

Phishing melalui email merupakan ancaman keamanan informasi yang memanfaatkan isi pesan untukmendorong pengguna memberikan informasi sensitif atau melakukan tindakan tertentu. Penelitian ini bertujuanmenganalisis kinerja Support Vector Machine (SVM) dan Random Forest pada klasifikasi email phishingberbasis Natural Language Processing (NLP) dengan representasi Term Frequency-Inverse Document Frequency(TF-IDF). Dataset simulasi awal berjumlah 10.420 email dan setelah pemeriksaan duplikasi, data kosong, sertalabel tidak valid diperoleh 10.000 email, yang terdiri atas 5.000 phishing dan 5.000 legitimate. Data diprosesmelalui cleaning, case folding, tokenization, dan stopword removal, kemudian ditransformasikan menjadi featurevector TF-IDF dengan unigram dan bigram. Dataset dibagi menggunakan rasio 80:20 untuk data training dantesting. Evaluasi model menggunakan confusion matrix, accuracy, precision, recall, dan F1-score. Hasil simulasimenunjukkan SVM memperoleh accuracy 96,40%, precision 95,94%, recall 96,90%, dan F1-score 96,42%,sedangkan Random Forest memperoleh accuracy 94,80%, precision 95,34%, recall 94,20%, dan F1-score94,77%. SVM juga menghasilkan false negative yang lebih rendah, yaitu 31 dibandingkan 58 pada RandomForest. Berdasarkan skenario simulasi, SVM menunjukkan kinerja lebih konsisten terutama pada recall dan F1-score, sehingga lebih sesuai sebagai model utama pada rancangan prototype deteksi email phishing. Hasil initetap perlu dikonfirmasi melalui eksperimen aktual dan pengujian lintas dataset sebelum digunakan sebagai dasarimplementasi operasional.
KOMPARASI KINERJA SUPPORT VECTOR MACHINE DAN RANDOM FOREST UNTUK DETEKSI SPAM EMAIL BERBASIS TF-IDF TEKS Arum Adila Ningtias; Nizirwan Anwar; Arief Ichwani; Raden Teddy Iswahyudi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 3 (2026): IKRAITH-INFORMATIKA Vol 10 No 3 November 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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

Abstract

Spam email merupakan salah satu permasalahan dalam komunikasi digital karena dapat mengganggu produktivitas,membebani sistem, serta berpotensi membawa ancaman keamanan seperti phishing, malware, dan penipuan digital. Penelitianini bertujuan membangun dan membandingkan performa algoritma Support Vector Machine (SVM) dan Random Forest dalammendeteksi spam email berbasis klasifikasi teks. Dataset yang digunakan adalah SMS Spam Collection yang terdiri dari 5.572pesan dengan 2 (dua) kelas, yaitu ham/non-spam dan spam. Tahapan penelitian dilakukan secara sekuensial melalui prosestext, cleaning, case folding, tokenization, stopword removal, ekstraksi fitur menggunakan Term Frequency-Inverse DocumentFrequency (TF-IDF), train-test split, pelatihan model SVM dan Random Forest, serta evaluasi performa. Evaluasi dilakukanmenggunakan metrik Accuracy, Precision, Recall, F1-score, ROC-AUC, dan Confusion matrix, sebagaimana dijelaskandalam rancangan penelitian dan evaluasi model pada dokumen . Hasil pengujian menunjukkan bahwa Linear SVM +GridSearchCV memperoleh performa lebih baik dibandingkan Random Forest + GridSearchCV, dengan Accuracy sebesar0,983857, Precision 0,978102, Recall 0,899329, F1-score 0,937063, dan ROC-AUC 0,987039. Random Forest memperolehAccuracy 0,959641, Precision 0,882353, Recall 0,805369, F1-score 0,842105, dan ROC-AUC 0,960280. Berdasarkan hasiltersebut, SVM lebih efektif dalam mendeteksi spam email karena mampu menghasilkan kesalahan klasifikasi yang lebihrendah dan performa evaluasi yang lebih seimbang.
IMPLEMENTASI SISTEM POINT OF SALE (POS) SINAU CAFE DENGAN PROGRAM MEMBERSHIP BERBASIS POIN DAN INTEGRASI MIDTRANS MENGGUNAKAN LARAVEL REST API DAN REACT Muhammad Ikhsan Arfian; Arief Ichwani
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 5 (2026): October (2026)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/djg8qy32

Abstract

Abstract: This study aims to develop an internal web-based Point of Sale (POS) system for Sinau Cafe to overcome the limitations of third-party systems that are difficult to customize and costly. The system development uses the Agile Development method, which includes the stages of planning, design, development, testing, and review iteratively. The technologies used are Laravel REST API as the backend and React as the frontend, with Midtrans payment gateway integration for flexible cashless payments. The results show that the system is capable of managing cashier transactions, menu management, and membership features that include an automatic 10% discount and 100 points redeemable for a Rp30,000 discount. Functional testing proved that all modules, including point history recording and thermal receipt printing, worked well. It can be concluded that this independent POS system is suitable to replace the previous vendor system because it provides flexibility in feature development and operational cost efficiency for Sinau Café management. Keyword: Point of Sale,Laravel,Agile,Midtrans.   Abstrak: Penelitian ini bertujuan mengembangkan sistem Point of Sale (POS) berbasis web internal bagi Sinau Cafe guna mengatasi keterbatasan sistem pihak ketiga yang sulit dikustomisasi dan berbiaya tinggi. Pengembangan sistem menggunakan metode Agile Development yang meliputi tahapan perencanaan, desain, pengembangan, pengujian, dan tinjauan secara iteratif. Teknologi yang digunakan adalah Laravel REST API sebagai backend dan React sebagai frontend, dengan integrasi payment gateway Midtrans untuk fleksibilitas pembayaran non-tunai. Hasil penelitian menunjukkan bahwa sistem mampu mengelola transaksi kasir, manajemen menu, serta fitur membership yang mencakup diskon otomatis 10% dan penukaran 100 poin menjadi potongan harga Rp30.000. Pengujian fungsional membuktikan seluruh modul, termasuk pencatatan riwayat poin dan pencetakan struk thermal, berjalan dengan baik. Dapat disimpulkan bahwa sistem POS mandiri ini layak digunakan sebagai pengganti sistem vendor sebelumnya karena memberikan keleluasaan pengembangan fitur dan efisiensi biaya operasional bagi manajemen Sinau Café. Kata kunci: Point of Sale,Laravel,Agile;Midtrans.
Perancangan UI/UX Mobile Health Extended e-iANC Berbasis Android Syalaisha Nuraini Rachmadiany; Hosizah; Arief Ichwani; Imam Sutanto
Jurnal Manajemen dan Teknologi Vol. 3 No. 2 (2026): November
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jmt.v3i2.2119

Abstract

The use of digital technology in maternal health services can help health workers deliver care more efficiently. Access to Extended e-iANC, which was originally web-based, is less flexible, so a UI/UX design for an Android-based mobile health application is needed that aligns with the needs and workflow of midwives at Independent Midwife Practices (Tempat Praktik Mandiri Bidan, TPMB) in West Jakarta. The study employed the Research and Development (R&D) method with the Double Diamond Design framework, covering the Discover, Define, Develop, and Deliver stages. User needs were gathered through interviews with three midwives, while the usability evaluation used the System Usability Scale (SUS) with eight midwives. The result is an Android-based UI/UX design for the Extended e-iANC mobile health application, covering improvements to the ANC and childbirth flow, SATUSEHAT integration, midwife–patient consultation, and notifications and reminders. The evaluation yielded a SUS score of 81.25, categorized as Acceptable, Grade A, and Adjective Rating Excellent. The score indicates that the design is acceptable to users and offers good usability. The study covers only the design and usability evaluation and does not extend to direct application implementation. The resulting design can serve as a basis for system development and integration in the next stage.
ANALISIS KARAKTERISTIK DAN KETIDAKSEIMBANGAN KELAS ULASAN TOKOPEDIA SEBAGAI DASAR FINE-TUNING INDOBERT Alvian Totonafo Mendrofa; Nizirwan Anwar; Arief Ichwani; Raden Teddy Iswahyudi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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

Abstract

Pertumbuhan ulasan pada platform e-commerce menghasilkan data teks berbahasa Indonesia dalam jumlah besar, tetapi distribusi label yang tidak seimbang dapat menyebabkan model klasifikasi tampak memiliki performa tinggi tanpa benar-benar mampu mengenali kelas minoritas. Penelitian ini menganalisis karakteristik, kualitas, dan ketidakseimbangan kelas pada beberapa sumber ulasan Tokopedia sebagai dasar penyusunan fine-tuning IndoBERT untuk klasifikasi sentimen tiga kelas. Analisis dilakukan terhadap Tokopedia Product Reviews 2025 sebagai dataset utama serta dua sumber pembanding, yaitu Tokopedia Product Reviews 2019 dan dataset Tokopedia raw yang telah dibersihkan. Tahapan meliputi audit struktur data, pemeriksaan data kosong dan duplikasi, pemetaan rating menjadi sentimen positif, netral, dan negatif, analisis distribusi kelas, serta perhitungan majority-class baseline. Hasil menunjukkan bahwa dataset 2025 terdiri atas 65.543 ulasan dengan 97,56% positif, 1,22% netral, dan 1,22% negatif. Pada dataset raw, dari 1.346.623 entri awal diperoleh 1.072.812 ulasan unik non-kosong setelah pembersihan. Ketiga sumber menunjukkan dominasi kelas positif dengan majority baseline antara 93,23% dan 97,56%. Temuan ini menunjukkan bahwa accuracy tidak memadai sebagai satu-satunya indikator performa. Evaluasi IndoBERT perlu menekankan macro F1, precision, recall, F1-score per kelas, dan confusion matrix, khususnya untuk kelas netral dan negatif. Hasil analisis menegaskan bahwa kualitas preprocessing, konsistensi pelabelan, dan strategi evaluasi pada data tidak seimbang merupakan prasyarat penting sebelum fine-tuning IndoBERT dilakukan.
Pendekatan Extreme Programming dalam Pengembangan Sistem Informasi Posyandu Berbasis Web Sori Mahummat Siringo Ringo; Arief Ichwani
Jurnal Komputasi Vol. 12 No. 2 (2024): Jurnal Komputasi
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v12i2.259

Abstract

Posyandu is one of the government's platforms for providing health services to the community. Posyandu plays an important role in monitoring the nutritional development of children under five at the village level. However, due to the unintegrated system, posyandu services and activities have not been running well. Posyandu pasirwaru is a case study in this research, where the services and activities at Posyandu pasirwaru are still carried out manually or using a notebook. Meanwhile, in posyandu data is needed quickly and accurately for a smooth service process. This research aims to design and build a Posyandu application that aims to improve efficiency and accuracy in data management and health services at Posyandu. This application is designed by utilizing the latest technology to facilitate the process of recording, monitoring, and analyzing health data for toddlers and pregnant women. The development method used in this research is the eXtreme Programming method. The final result of the research is testing which shows that the use of this application is able to speed up the process of recording and reporting data, as well as providing easier and faster access to health information. Thus, the design of this Posyandu application is expected to make a positive contribution in improving the efficiency and quality of health services at Posyandu and help make better decisions based on accurate and integrated data.
Co-Authors Adi Widiantono Adib Faishol Adrianta, Ade Tirta Alita Sandy Putriani Alvian Totonafo Mendrofa Amelia Febriana Aminu, Yusuf Anggoro, Rio Arum Adila Ningtias Astrina Dewi Farida Azizah, Anik Hanifatul Badie Uddin Bagus Rosyid Hamdani Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Tjahjono Chandra, Michlee Septian Dewi Marini Diah Aryani, Diah Dony Saputra Emon Sulaksana Eva Milenia Surya Buana Evi Martaseli Fabio Sepriano Fahreza Bahran Farida, Astrina Dewi Fazhli Ridwan Husbi Fitri Nur Utami Gaol, Gunawan Lumban Gerry Firmansyah Hani Dewi Ariessanti Hastuti, Hera Hendry Gunawan Hendry Gunawan, Hendry Hermansyah Hermita Saprila Astrif Herwanto, Agus Hosizah Hosizah Hosizah Hosizah Hosizah Hozizah Markam Husbi, Fazhli Ridwan Imam Sutanto Imam Taufik Imam Taufik INDAH CAHYANI Indrawan, Heronimus Erwin Iswahyudi, Raden Teddy Iwan Setiawan Jepri Halomoan Simbolon Jorgy Qori Qurani Joseph Febrian Julianti, Khoirunisa Kartini Kartini Komul, Theodora Maria Putri Kundang Karsono Kus Hendrawan Muiz Lili Hastuti Livia Hendri Sefira Maimun Maimun Marchel Antonius Sirait Mira Asmirajanti Mohamad Alrifqi Muhamad Ali Mubarok Muhammad Al Chanif Muhammad Daffa Arjuna Fiarnanda Saragih Muhammad Hadi Arfian Muhammad Ikhsan Arfian Muhammad Rizkiansyah Munawar MUNAWAR Nabilla Nabilla Nabilla Nabilla Nilasari, Rifani Nina Nurhasanah, Nina Nixon Erzed Nizirwan Anwar Noviandi Noviandi Nugroho Budhisantosa Nurfilael, Gagas Nurfilae Nurmalasari, Mieke Popong Setiawati Pratama, Anggoro Yudha Purwadi, Yusuf Agung Rachmah, Alfinda Raden Teddy Iswahyudi Ramadhan, Naufal Maulana Rendy Nurmarianto Rina Rahma Cahya Riya Widayanti Rizki Reza Saputra Roland, Muhammad Saragih, Muhammad Daffa Arjuna Fiarnanda Sawali Wahyu Septian Priyo Utomo Setiawati, Popong Sori Mahummat Siringo Ringo Suprapto Suprapto Sutanto, Imam Syalaisha Nuraini Rachmadiany Syarah Syarah Syihan Achmad Tria Saras Pertiwi Tugiman Ulum, Muhamad Bahrul Valencia Patrice Gracia Pangaribuan Vincentia Vicitta Rara Violy Vira Febriyana Vira Febriyana Vitri Tundjungsari Widia Sari Widodo, Agung Mulyo Yanathifal Salsabila Anggraeni Yasir Muharram Fauzi Yohanes Bagas Ari Widatama Yulfitri, Alivia Yulhendri Yulhendri Yusri Nela Rizqia Yusuf Agung Purwadi