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Muhammad Arifin

Universitas Muria Kudus

Author-ID : 2473690

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Comparative Analysis of Machine Learning Algorithms with SMOTE for Imbalanced Sentiment Classification of IndiHome on Platform X Rizky Adisaputra; Muhammad Arifin; Soni Adiyono
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13271

Sentiment analysis of IndiHome users on social media X faces a severe class imbalance, with negative tweets dominating 88.26% of the dataset. This study compares four machine learning algorithms, Support Vector Machine (SVM), Naive Bayes, Decision Tree, and Random Forest, for sentiment classification using SMOTE to address the imbalance. Initially, 20,001 Indonesian tweets were scraped using Tweet Harvest with the keyword "indihome". After duplicate removal and preprocessing, 7,199 tweets were retained. Each tweet was manually annotated into positive, negative, and neutral categories. TF-IDF was applied for feature extraction, and Stratified 5-Fold Cross Validation was used for evaluation. Algorithms were tested under two conditions: without and with SMOTE. Before SMOTE, SVM achieved the highest accuracy (94.55%) and F1-score (94.05%). After SMOTE, Random Forest outperformed others with 94.14% accuracy and 93.83% F1-score, as the only algorithm showing consistent improvement across all metrics, including balanced accuracy and MCC. Although Wilcoxon tests showed no statistically significant differences between algorithms, Random Forest demonstrated the most stable and consistent performance. These findings confirm that Random Forest with SMOTE is the most effective strategy for imbalanced sentiment classification in this context.

Penerapan Algoritma Apriori untuk Analisis Pola Pembelian Toko Sarana Nanda Bagus Yulianto; Nafar Ja’far Ashidiqi; Selamet Ahmad Faisal; Endhito Hafiz Meifaza; Muhammad Arifin
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/gqc4t679

Abstrak - Ketatnya persaingan bisnis di sektor ritel bahan bangunan menuntut pemilik toko untuk memiliki strategi operasional dan penjualan yang cerdas. Saat ini, data transaksi harian di Toko Sarana sering kali hanya disimpan sebagai arsip administratif tanpa diekstraksi menjadi informasi perilaku belanja konsumen. Penelitian ini bertujuan untuk menemukan pola kebiasaan pembelian konsumen menggunakan teknik Data Mining dengan aturan asosiasi. Algoritma Apriori diterapkan pada dataset yang terdiri dari 1.258 baris data item yang terakumulasi dalam 412 transaksi unik. Hasil pengujian menunjukkan adanya hubungan yang kuat antar-item barang yang dibeli secara bersamaan. Temuan hubungan antar-item paling kuat menunjukkan nilai lift ratio sebesar 6,62 pada asosiasi antara mesin bor makita dan bor cordless HDT. Selain itu, ditemukan tingkat confidence sebesar 88,8% pada hubungan fungsional antara produk stop kontak esensa dan kabel serabut. Temuan pola-pola ini direkomendasikan kepada pemilik toko sebagai dasar ilmiah untuk melakukan restrukturisasi tata letak gudang guna meminimalkan waste of movement staf serta merancang strategi promosi bundling produk. Secara luas, pemodelan algoritma apriori dalam penelitian ini memberikan kontribusi ilmiah sebagai referensi logika dan basis aturan yang dapat diintegrasikan ke dalam arsitektur sistem transaksi digital untuk otomatisasi fitur rekomendasi produk. Kata kunci : Data Mining; Algoritma Apriori; Aturan Asosiasi; Toko Bangunan; Market Basket Analysis; Abstract - The intense business competition in the building materials retail sector requires store owners to possess smart operational and sales strategies. Currently, daily transaction data at Toko Sarana is often merely stored as administrative archives without being further extracted into consumer shopping behavior information. This study aims to discover consumer purchasing patterns using Data Mining techniques with Association Rules. The Apriori algorithm was applied to a dataset consisting of 1,258 item data rows accumulated into 412 unique transactions. The test results indicate a strong relationship between items purchased simultaneously, where the most significant finding shows a lift ratio of 6.62 in the association between the Makita Drill Machine and the HDT Cordless Drill. Additionally, a confidence level of 88.8% was found in the functional relationship between Esensa Power Outlets and Stranded Wire products. These pattern findings are recommended to store owners as a scientific basis for restructuring warehouse layouts to minimize staff waste of movement and to design more targeted product bundling promotion strategies. Keywords: Data Mining; Apriori Algorithm; Association Rule; Building Material Store; Market Basket Analysis;

PERBANDINGAN ALGORITMA K-MEANS DAN K-MEDOIDS DALAM PENGELOMPOKAN KOMODITAS PANGAN NASIONAL BERDASARKAN KARAKTERISTIK STATISTIK HARGA Moch Zainuddin Qomari; Muhammad Tegar Sirri Arrafi; Deshinta Dewi Maharani; Muhammad Arifin
JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI Vol 7, No 1 (2026): JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/bidisfo.v7i1.3493

Stabilitas harga pangan merupakan indikator penting dalam menjaga ketahanan pangan dan pengendalian inflasi nasional. Penelitian ini bertujuan membandingkan kinerja algoritma K-Means dan K-Medoids dalam mengelompokkan komoditas pangan nasional berdasarkan karakteristik statistik harga. Data sekunder diperoleh dari Badan Pangan Nasional dan PIHPS periode 2021–2025 sebanyak 919 baris data, yang selanjutnya diagregasi melalui feature engineering menjadi 44 objek komoditas dengan empat atribut statistik, yaitu rata-rata, minimum, maksimum, dan standar deviasi harga. Setelah normalisasi menggunakan Min-Max Scaling, jumlah cluster optimal ditentukan menggunakan Elbow Method dan diperoleh K=5. Clustering dilakukan menggunakan algoritma K-Means dan K-Medoids (metode Partitioning Around Medoids), kemudian dievaluasi menggunakan Silhouette Score dan Davies-Bouldin Index (DBI). Hasil penelitian menunjukkan kedua algoritma menghasilkan nilai evaluasi yang identik, yaitu Silhouette Score sebesar 0,6519 dan DBI sebesar 0,4342, meskipun komposisi anggota cluster keduanya tidak sepenuhnya sama. Temuan ini menunjukkan bahwa struktur data harga pangan nasional cukup stabil sehingga baik pendekatan berbasis centroid maupun medoid mampu menghasilkan kualitas pengelompokan yang setara, sehingga pemilihan algoritma dapat disesuaikan dengan kebutuhan efisiensi komputasi.

Classification of Aquatic Species in Cultivation Ponds via Image Processing and Machine Learning Arif Setiawan; Angga Wahyu Wibowo; Pratomo Setiaji; Wiwit Agus Triyanto; Muhammad Arifin
International Journal of Artificial Intelligence and Science Vol. 2 No. 1 (2025): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/IJAIS.v2.i1.9

Fish cultivation is a vital economic activity for coastal communities, yet traditional farming methods often face challenges such as environmental instability, feeding inefficiencies, and water pollution. Effective monitoring of underwater environments is essential to improve fish quality and farming efficiency. A crucial part of this process is the accurate classification of fish and non-fish objects. This study proposes a method for underwater classification using morphometric feature extraction and machine learning techniques. The research process involves six main steps: (1) preparation of Region of Interest (ROI) detection data, (2) extraction of morphometric features—length (L) and width (W), (3) feature computation, (4) data partitioning for training and testing, (5) classification using Support Vector Machine (SVM), Random Forest (RF), and K-Nearest Neighbor (KNN), and (6) evaluation using a confusion matrix. Among all models tested, the Random Forest algorithm yielded the highest accuracy at 93%, with classification results showing True Positive = 349, False Positive = 28, True Negative = 223, and False Negative = 0. The findings highlight RF’s potential for enhancing automated fish monitoring in smart aquaculture systems.

Sentiment Analysis of Public Opinion on The Plastic Waste Issue on Social Media X Using TF-IDF, Naïve Bayes, and SVM Ary Kania Sya'diah; Muhammad Arifin; Pratomo Setiaji
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1782

Plastic waste has become a critical environmental challenge due to increasing consumption patterns and inadequate waste management practices. Understanding public perceptions of plastic waste issues is essential for supporting environmental awareness and policy development. Social Media X provides a large-scale and real-time source of public opinions that can be analyzed through sentiment analysis techniques. This study aims to identify public sentiment trends regarding plastic waste issues on Social Media X and compare the performance of Naïve Bayes and Support Vector Machine (SVM) algorithms using TF-IDF feature extraction. The research applies the CRISP-DM framework, including data understanding, data preparation, preprocessing, modeling, evaluation, and visualization stages. A total of 7,277 Indonesian-language posts were collected through web scraping, with 7,275 posts retained after data preparation. The preprocessing process consisted of cleansing, case folding, tokenization, stopword removal, normalization, and lexicon-based sentiment labeling. The dataset was classified into three sentiment categories: positive, negative, and neutral. Model performance was evaluated using Accuracy, Precision, Recall, F1-score, Macro F1-score, Balanced Accuracy, and Stratified 5-Fold Cross-Validation. The results show that SVM achieved better performance than Naïve Bayes, with an accuracy of 83.64%, Macro F1-score of 79.00%, and Balanced Accuracy of 75.94%. These findings indicate that SVM is more effective for sentiment classification of Indonesian plastic waste discussions using TF-IDF-based text representation.

Penerapan Sistem Informasi Buku Tamu Berbasis Web untuk Pengelolaan Data Kunjungan Intan Hayati; Muhammad Arifin
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 2 (2026): Edisi Mei - Agustus
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v7i2.8783

Pengelolaan buku tamu dengan cara manual masih banyak diterapkan di berbagai lembaga, namun sering kali menyebabkan berbagai masalah, seperti pencatatan data yang tidak terstruktur dengan baik, kemungkinan kehilangan data, serta kesulitan dalam menelusuri dan menyusun laporan. Tujuan dari kegiatan ini merupakan untuk mengoptimalkan sebuah sistem pencatatan tamu berbasis web dengan tujuan memaksimalkan efektivitas dan efisiensi dalam pengelolaan data kunjungan. Metode yang diambil menggunakan metode Waterfall yang mencakup langkah-langkah identifikasi analisis kebutuhan, tahap perancangan sistem, pelaksanaan, pengujian serta pemeliharaan sistem. Hasil dari penerapan membuktikan bahwa aplikasi yang dibuat mampu membantu mempercepat proses pencatatan pengunjung, menyimpan data dengan terstruktur, serta menghasilkan laporan dengan kecepatan dan tingkat akurasi yang lebih tinggi. Selain itu, aplikasi ini mampu diakses dengan mudah melalui perangkat yang berbasis website. Oleh karena itu, aplikasi ini berpotensi meningkatkan kualitas pengelolaan data kunjungan di instansi.

Co-Authors 'Amala A., Ahsanu - Supriyono Abbas, Aries Abd. Faishol Abdul Manan Abdul Rauf Chaerudin Abdullah Muttaqin Abiyyi, Al Ghossan Abthal Ade Budi Setiawan Aditya Taufik Ismail Adlian Jefiza Adzkar, Fadhlika Afif, Faisal Afriana, Bs Monica Afrianda, Gusti Afridon, M Afriyanti Afriyanti, Afriyanti Afriza Akhid Khoiruddin Agung Mahardiono, Novan Agus Trianto Ahmad Afifuddin Ahmad Hariyadi Ahmad Zidan Nur Rizqi Aina, Asri Nur Aji, A. Damar Aji, Muji Handoyo Akmal Riza Akrim, Akrim Al-Fatah, Sopi Nurul Alamsyah, Tedi Alamul Huda, Alamul Alaydrus, S. Ali Jadid Alfina Chintya Bella Alif Fadhillah Laili Putri Alif Fadhillah Laili Putri Alifa Marsha Rahmania Aliya Aszava Alwani, Yazid Alya, Kharisma Rahmadhani Alya, Nabila Ulamy Amalia, Nadra Amanatillah, Dara Amanda Putri Cheryl Andhika Ikhwal Fadhil Ferdian Andre , Lesis Andrian, Nawang Alan Andrianti, Rini Andy Lasmana Angga Wahyu Wibowo Anita Rahmawati Annisa Nurrachmawati Annisa, Dewi Sry Anteng Widodo Aprilia, Wa Ode Intan Apriliana Sari Arbani, Hayaadilah Rizqi Ardhana Januar Mahardhani Ari Adaninggar Ariansyah, Rafi Ariesta, Ria Arif Harjanto Arif Rahman Hakim Arif Setiawan Arina Fawaida Arini Zulfaida Aristianty, Dian Sari Arono Arono Arum Kusuma Wardhany Ary Kania Sya'diah Arya Subastian Asmoro, Novian Wely Aspira, Muizatul Atsna Rifqi Habibur Rahman aufa hanif Aulia Happy Salma Aulia, Farhan Aulia, Ismi Aulia, Riza Azzahro, Fatimah Bagus Sujarwo Bahtiar, Adhi Baiti Rahman Bakti Nendra Khurrohim Bambang Hariyadi Bambang Widjanarko, Bambang Widjanarko Batubara, Oktia Elfriza Bayu Samudro Fadhilah Berkahi, Alrezqio Meykhara Aqbel Bilqis, Adilla Boer, Dara Cantika Putriadin Budiana, Budiana Budiono, Ragil Catur Wuragil, Irfan Chandra Ayu Fatikasari Chaniago, Edi Salim Christoper Ade Immanuel Cut Intan Hayati Dafa, Yori Hayyan Damanik, Ricardo Fransiskus Damar Aji Gurowo Daniah Darmnato, Eko Dea Anggi Maharani, Nanda Delismasari, Delismasari Deni Mahdiana Deshinta Dewi Maharani Destarina, Dea Devi Mutiara Khoirun Nisa, Asti Dewantari Nasution, Nurul Annisa Dhani Miftahul Abid Dhohiri, Daud Dian Asriningati Dian Eka Chandra Wardhana, Dian Eka Chandra Diana Laily Fithri Diana Laily Fithri Diana Laily Fithri Diana Layli Fithri Diki Eka Gunawan Dita Amelia Putri, Dita Amelia Djarot Winoto, Djarot Winoto Dodi Candra Kurniawan Dongoran, Indra Pilianti Durrotun Nafisah Dwi Kurnia Putri Eko Darmanto Eko Darmnato Elsa Violina Damayanti Elyza Dewi Fortuna Endah Wahyutri Endhito Hafiz Meifaza Eni Mayasari Entin Hidayah Eny Enawaty Era Wulandari Erlina Erlina Esti Wijayanti Esti Wijayanti, Esti Evi Maryanti F.A., Moch Hazmi Fachry Abda El Rahman Fadhillah, Alfatan Fahmiyudin, Muhamad Fahri, Muhammad Yazid Fajar Nugraha Farhan Wildan Darmawan Farid Noor Romadlon Farida, Elis Anita Faris Ahmad Farhan Farhan Faris Widhiarta Farma, Junia Fathon, Ulil fathurrahman, fajar Febriana Permatasari Fery Ariyana Fithri, Diana Layli Fitri, Rosiana Fitri, Saudatul Fitriyani, Laili Fitriyanti Nakul Futra, Asrizal Deri Gafur, Syahrul Ghufron Tamami Gumono Gumono, Gumono Gunawan, Erli Gurning, Jhon Pedrik Haedar Akib Handayani, Listy Hapsari, Rini Tri Harahap, Santi Evalia hasanah, kamalia Henandra Eka Putra, Dias Hendro HS., R. Hendy Hendy Hendro Hadi Sridjono Hendy Hendro Sajono Herawati, Yuke Elvin Heri Susanto Herlina, Yekti Heru Sabputro Hery Purwosusanto Hesti Sabrila Aulia Hidayat, Hilmi Bayu Hidayat, Muhammad Taufiq Hikhmah, Fitria Nurul Husna, Atina Ifriany, A. Ihyani Malik Ihza, Andika Ika Karlina Laila Nur Suciningtyas Ike Anggraeni Ilham Dwi Pranoto Imam Kusyairi, Imam Imaroh, Rachel Tinezia Zaitul Ina Kusumawardani Alina Fakhri Indahsari, Susi Insani, Muhammad Fitrah Intan Firdausatul Salsabilla Intan Hayati Intan Hayati Intan Nur Alisa, Firda Ipaludin, Muhammad Irfan Santiko Irwan Purnama Irwanto Zarma Putra Ishak, Safrizal Iskandar Iskandar Iskandar Iskandar Ismail Ismail Ismi Alfina Ayu Azzahra Iswahyu Pranawukir Ivonita Simbolon, Artha Jafarudin, Sesy Dwi Prinita Jalilah Jalilah Jamhari Jamhari Jasmawati, Jasmawati Jayanti, Nur Ivo JUNAIDI Karima, Mafaza Karimuna, Siti Rabbani Kejora Rizka Amanda Khairani, Suci Khairudin Syah Khairul Amri Khilal Arlisna Rahmadani Khoirun Nisa', Dwi Susanti Khoiruz Zahro Ksrisya, Vira Clarissa Kurniawan, Moh Adi Kurniawan, Muhammad David Lailatus Sa’diah, Najwa Lailatussaadah M Nur, Lailatussaadah Laily Fithri, Diana Latifah, Noor Lilis Puspitawati Liza, Risko Lubis, Muhammad Rasyid lutfi, Attabik Lu’lu’il Laili M. Alvino Bintang P M. Yogi Riyantama Isjoni Magdalena, Melani Maria Maharani, Adelia Maharani, Ria Maharani, Vanessa MAHARINI, MAHARINI Mahendra, Prionaka Luthfi Mahpuz Maimun Maimun Majid, Akmal Abdul Malyani, Fitri Manurung, Lastiur Marbun, Egricana Marchella, Intan Mardasela, Tery Marpaung, Maria Magdalena Martina MARTINA, ANGGUN Marzuarman, Marzuarman Masriani . Maulida Zakiah, Diana Maulidah, Hana Mutialif Maulidiawati, Chyntia Meri, Rita Misyanto Moch Naufal Ardiyansyah Moch Zainuddin Qomari Mohammad Fathoni Mohammad Maulana Afriza Mohzana Monika, Dezetty Muchlas Muchlas Mudrikah, Mudrikah Muham, Novia Angelia Br Muhamad Davin Tanzila Ramdani Muhamad Yuwanda Muhammad Alvino Bintang Adi Pradana Muhammad Ardi Hermansyah Muhammad Ary Sanjaya Putra Ary Muhammad Azka Latif Muhammad Fajar Maulana Muhammad Hidayat Muhammad Khaeruddin Hamsin, Muhammad Muhammad Khoirul Anam Muhammad Muhammad Muhammad Mursyid Muhammad Nanang Qosim Muhammad Rizqi Ijlal Tsani Muhammad Tahir Muhammad Tegar Sirri Arrafi Muhammad Vikri Mustafa Muhammad Wasil Muhammad Yamin Muhazir, Achmad Muksal Muksal Muksin, Muksin Mumu Zainal Mutaqin Munirul Abidin Musfiroh, Aam Mutia, Sri Muzakkir Muzakkir Myllikha Putri Izza Nadhrah Wivanius, Nadhrah Nadiya, Ulfah Nafar Ja’far Ashidiqi Naibaho, Sisilia Hotrepiyanti Br Najwa Hanindya Putri Nalendra Cahaya Heraditya Nanda Bagus Yulianto Nanda Lutfi Rizqiyanto Nandalisa Lisa Fa’ati Rahmawati Nariyah, Ahlun Nasution, Nurul Izzah Nasution, Ummi Fadillah Naufal renanda Nava Azahra Nazar Nazar, Nazar Nazila, Tasya Nisa, Nabila Mataun Noermanzah, Noermanzah Noor Azizah Noor Latifah Noprianti, Dini Noviyanto Firmansyah, Heru Novrian, David Saldomi Nugraha, Gilang Try Nur Amandasari, Canes Nur Ivo Jayanti Nur Maulani, Anggita Nur Rohmah Nurasiah Nurasiah Nurdin Nurhidayah, Josanti Nurmala, Sinta Nurmulya, Wa Ode Sitti NURUL AZIZAH Nuzula Fitranti, Avin Palahudin Pebrinda, Else perma sari, rose intan Permadi, Luchyto Chandra Pohan, Putri Amanda Pradani, Rizky Fitriyanti Prasaja Wikanta Prasidarini, Rifka Ilma Pratama, Wildan Pratomo Setiaji Pratomo Setiaji Primadiarta, Ari Sam Primawanti, Henike Prionaka Luthfi Mahendra Priyambodo, Ragil Putra, Debi Kumala Putra, Edo Putri Kurnia Handayani Putri, Sarah Athaullah Wenna Putri, Shasha Ramadhani Putri, Sylvia Octa Putri, Yohana Shavira Qomaruddin R Rhoedy Setiawan Rachmi Meutia Rafli Zudha Sasongko Rafly Channan Assegaf Ragil Budiono Rahmatullah, Zaid Hidayat Rahmawati, Amelia Ramadanil, Farid Ramadhan, Fathjri Ramadhan, M. Zaki Nawaf Ramadhani, Silvia Ramadlan As'ari, Wahyu Ratna Wati Regizka Ayu Mega Saputri RESTIN MEILINA Retno Widyastuti, Retno Revanda Putri Rahmadani Ridho Agiel Syahputra Siallagan Ridwan Rini Ekayati Rini Muharini Rino Sardanto Ritonga, Din Aswan Amran Riyan Hadi Prabowo Riyan Sisiawan Putra Rizal Maulana Rizal Maulana, Rizal Rizal Setiawan Rizka, Fithria Rizky Adisaputra Rizky Ferdiansyah Rizky Muhammad Rizky Maulana Rochim, Galuh Nur Rohadi, Melia Pradita Romdoni, Moh Fahmi Sabputro, Heru Sadali, Muhamad Safera, Asywila Huda Sahputra, Rahmat Saidun Basyar, Aminun Fais Salamah, Ummi Salma Elsa Widyadhana Salma Hayati Salsabila, Cut Sarah Athiyah Samudi Santy, Nawal Ari Saputra, Hasar Sarjana Sarjana Saruran, Michelin Alfa Seila Desy Maulia Selamet Ahmad Faisal Sembiring, Oscar Fredriek Setiyoadi, Amanda Diyas Sety, La Ode Muhamad Shahadah, Dewi Faridah Nur Shasha Ramadhani Putri Shofiani Dwi Natalia Siahaan, Gorga Josua Chrisvandoli Sihombing, Ahmad Gunawan Sihotang, Yohana Silitonga, Alfredo Jonathan Simangunsong, Agustina Simanjorang, R. Mahdalena Simarmata, Ruth Ana Magdalena Br Simatupang, Linda E M Sinaga, Zulkani Sintiana, Indah Siregar, Fathia Siregar, Putri Bungsu Sirullah, Mohammad Fajar Siti Aminah Siti Ifa Septiana Siti Nurfadilah H Siti Raihanah Sitompul, Adravia Lisbeth Claudia Soni Adiyono Sri Utami Sudarsono Sugiartono, Endro Sukarmi Sukinah, Endang Sukma Wijayanti Sulung, Bagus Putra Supriadi Supriyono Supriyono Supriyono Supriyono Supriyono Suryo Hadi Kusumo Susanto, Gito Aru Susanto, Gito Aru Syafiul Muzid Syahrul Bagus Andreyan Syahwa Mutiara Putri Syaputa, Muhammad Rioardian Syauqi, Gutti Zaidan Syifa Amalia Syindau Abdillah, M. Andrian Tampubolon, Rijal Tampubolon, Sandy Donni Tarigan, Jenni Parlopes Br Tarigan, Tiodora Br Tasa Tasa Tasa Taufiq Hidayat Tauran, Rina Teddy Octa Prabowo Tihadanah, Tihadanah Tirta Nita Togatorop, Inneke MF Tri Danang Kurniawan Tri Dina Fitria Tria Yanuarsih Triwahyuni, Dewi Tsirwatun Nisail Khasanah Tunnazia, Aqilla Ubaidillah, Jainul Ukun, Ukun Kurnia Ulan Ullul Azmie, Fadila Umar, U Usman, Ismuadi Utama, Bima Satria Utami, Mauliddina Utami, Yulia Verdinand, Rhenal Vinsensia, Desi Virgie Andrian Noval Vita Nurus Salamah Wahyu Dhani Prayoga Wahyu Wibowo, Angga Wandari, Kameilia Wardhana, Fahriy Aulia Widany, Chelyn Audya Widya Rika Puspita Widyantoro, Murwan Wijaya, Cindy Ari Wijiyanto, Dwi Wirahmi, Nori Wiwik Yunarni Widiarti Wiwit Agus Triyanto Yasmin, Dhira Fijri Yudie Irawan Yulfitra, Yulfitra Yuniarsi Rahayu Yunira, Yuli Yusuf Sabilu, Yusuf Zaenal Arifin Zahra, Nadhira Fitria Zahrotul Khoiriyah Zakiiya, Ghulaman Zessicha Belliana Putri Zoningsih, Meta Yupitri Zubdatu Zahrati, Zubdatu Zahrati Zulaika Zuliyanto, Muhammad Zuliyati Zuliyati

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