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Chemical Engineering Department, University Of Indonesia
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IMPLEMENTASI METODE CONTENT BASED FILTERING MENGGUNAKAN SYNOPSIS SIMILARITY UNTUK PEMILIHAN ANIME Irwan, Wahyurrahman Ferbiansyah Adha Muhammad; Santoso, Budi; Kacung, Slamet
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5815

Abstract

Penelitian ini bertujuan mengembangkan sistem rekomendasi anime berbasis Content-Based Filtering dengan memanfaatkan kesamaan sinopsis sebagai parameter utama. Latar belakang penelitian didasari oleh keterbatasan sistem rekomendasi yang hanya mengandalkan genre atau popularitas, tanpa mempertimbangkan kesesuaian naratif secara mendalam. Data sinopsis anime genre fantasi diambil dari dataset MyAnimeList dan diproses melalui tahapan text preprocessing, tokenisasi, dan representasi numerik menggunakan metode TF-IDF. Kemudian, kemiripan antar sinopsis dihitung menggunakan Cosine Similarity untuk menghasilkan rekomendasi judul anime yang memiliki kesamaan konteks cerita dengan preferensi pengguna. Hasil sistem menunjukkan keberhasilan dalam merekomendasikan anime yang relevan, termasuk dalam satu waralaba seperti seri "Bleach". Evaluasi menggunakan metrik Mean Average Precision (MAP) menghasilkan skor 0,416667, yang mengindikasikan bahwa sistem mampu menempatkan rekomendasi relevan pada posisi atas daftar. Temuan ini menunjukkan bahwa pendekatan berbasis sinopsis efektif meningkatkan akurasi dan relevansi sistem rekomendasi, serta memberikan pengalaman personalisasi yang lebih mendalam bagi pengguna
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PROVIDER WIFI MENGGUNAKAN METODE DEMATEL Andrianto, Arya; Santoso, Budi; Kacung, Slamet
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5866

Abstract

Pemilihan provider jaringan WIFI yang tepat sering kali menjadi tantangan bagi calon pelanggan akibat banyaknya pilihan dan aspek yang harus dipertimbangkan, seperti harga, kualitas sinyal, dan cakupan area. Penelitian ini bertujuan mengembangkan Sistem Pendukung Keputusan (SPK)  yang dapat membantu pengguna dalam menentukan pilihan provider WIFI secara objektif. Metode Decision Making Trial and Evaluation Laboratory (DEMATEL) digunakan untuk menganalisis hubungan sebab-akibat antar kriteria serta menentukan bobot berdasarkan tingkat pengaruhnya. Lima kriteria utama yang dianalisis adalah biaya bulanan, biaya pemasangan, kestabilan sinyal, cakupan area, dan bandwith. Hasil pembobotan menunjukkan bahwa bandwith dan kestabilan sinyal memiliki pengaruh terbesar. Dari 6 alternatif yang direkomendasikan, My-Republic memperoleh skor akhir tertinggi sebesar 0,9102 dan direkomendasikan sebagai provider terbaik. Validasi dilakukan melalui uji pengguna dan perbandingan dengan preferensi aktual, dengan tingkat akurasi masing masing sebesar 80% dan 73,3%. Kesimpulannya, sistem yang dibangun mampu memberikan rekomendasi yang relevan dan akurat, serta mendukung proses pengambilan keputusan secara lebih sistematis dan rasional.
ANALISIS TINGKAT KEPUASAN PENGGUNA SIREKAP MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) DAN LONG SHORT TREM MEMORY (LSTM) Cahyono, Erik; Kacung, Slamet
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5867

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat kepuasan pengguna terhadap aplikasi Sirekap berdasarkan ulasan yang diperoleh dari Google Play Store. Data dikumpulkan melalui proses crawling dan kemudian dianalisis menggunakan dua pendekatan klasifikasi sentimen, yaitu Support Vector Machine (SVM) dan Long Short-Term Memory (LSTM). Tahapan analisis mencakup preprocessing teks seperti cleansing, tokenizing, stopword removal, dan stemming, serta ekstraksi fitur menggunakan metode TF-IDF. Hasil evaluasi menunjukkan bahwa model SVM mencapai akurasi sebesar 92,30%, sementara model LSTM mencapai akurasi sebesar 90,85%. Model SVM menunjukkan keunggulan dalam mengklasifikasikan sentimen negatif, sedangkan LSTM relatif lebih baik dalam menangani sentimen positif. Kedua model mengalami kesulitan dalam membedakan sentimen netral, yang terlihat dari tingginya kesalahan klasifikasi pada kelas tersebut. Hasil penelitian ini memberikan gambaran tentang persepsi publik terhadap aplikasi Sirekap serta dapat menjadi referensi dalam pengembangan sistem klasifikasi sentimen yang lebih akurat di masa mendatang. Selain itu, studi ini membuka peluang untuk eksplorasi metode klasifikasi lanjutan dan penggunaan data yang lebih beragam dari berbagai platform digital.
Sentiment Analysis of Online Lending Services Using Support Vector Machine and Logistic Regression Rahayu, Ardita Isnanda; Kacung, Slamet
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.574

Abstract

This research examines public sentiment toward online lending services in Indonesia by analyzing opinions from social media platforms, specifically YouTube and Twitter, collected from January 2021 to January 2024. The objective of this study is to develop an accurate sentiment classification system that can effectively categorize public opinions into positive, negative, and neutral sentiments, thereby providing valuable insights for regulatory bodies and service providers to understand consumer concerns and improve service quality. The collected data underwent thorough preprocessing, semi-automatic labeling, and Term Frequency-Inverse Document Frequency (TF-IDF) weighting. Four classification models were evaluated: Support Vector Machine (SVM) with Linear, Polynomial, and Radial Basis Function (RBF) kernels, and Logistic Regression. Results demonstrate that Linear SVM achieves the best performance with an accuracy of 90.17% and an F1-score of 0.902, effectively categorizing sentiments across all classes while excelling particularly in negative and neutral categories. The expected impact of this analysis is to provide evidence-based recommendations for policymakers in financial technology regulation and help online lending service providers understand consumer satisfaction levels to improve their service delivery. This study offers valuable insights for service providers and regulatory bodies seeking to better understand and address public concerns in this domain.
Sentiment Analysis of Rohingya Refugees in Aceh using Support Vector Machine (SVM) and Multinomial Logistic Regression Baliputra, Gigih Army Buana; Kacung, Slamet; Santoso, Budi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5159

Abstract

The rapid development of information technology affects the massive dissemination of information. Social media is one of them, and it contributes to communication and information technology. Information about Rohingya ethnic refugees in Aceh has spread widely on social media. This research aims to analyze public sentiment regarding ethnic Rohingya refugees in Aceh on X and YouTube, categorized into positive, neutral, and negative. This study aims to develop an application that uses the Support Vector Machine (SVM) and Multinomial Logistic Regression techniques to conduct sentiment analysis on public opinion with positive, neutral, and negative classifications regarding Rohingya refugees in Aceh. The 3683 comments collected through web crawling were categorized into positive, negative, and neutral sentiments. The analysis results show that 2112 data were classified as negative sentiments, 1400 as neutral sentiments, and 171 as positive sentiments. Based on the test results, the SVM and Multinomial Logistic Regression methods have similar accuracy of 83.18%. However the SVM method obtained 74.65% precision and 65.15% recall. Meanwhile, the Multinomial Logistic Regression method obtained 75.28% precision and 66.84% recall.
Correlation Of Self-Efficacy In Differentiated Learning With Students’ Mathematical Communication Skills In Vocational School Slamet, Slamet; Riani, Quensy
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 2 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i2.955

Abstract

This study aims to determine the relationship between self-efficacy in differentiated learning and the mathematical communication skills of vocational school students. The research method employed is a quantitative approach utilizing correlational techniques. The research sample consisted of 36 vocational school students selected through random sampling. The instruments included a self-efficacy questionnaire with 29 statements and a descriptive test assessing mathematical communication skills with eight items. Data analysis techniques included normality tests, linearity tests, and Spearman correlation tests, as the data did not meet the assumptions of linearity. The results revealed a Spearman correlation coefficient value 0.995, with a significance (Sig. 2-tailed) of 0.000. This indicates a strong and significant relationship between self-efficacy and students' mathematical communication skills. This study emphasizes the importance of teachers' efforts in enhancing students' self-efficacy through differentiated learning to foster the optimal development of their mathematical communication skills.
HUBUNGAN MENGKONSUMSI TABLET BESI TERHADAP KADAR HEMOGLOBIN PADA IBU HAMIL TRIMESTER DUA DI PUSKESMAS SIANTAN TENGAH KELURAHAN SIANTAN TENGAH Sutriswanto, Sutriswanto; Slamet, Slamet; Djohan, Herlinda; Febrianti, Aprilia
Jurnal Laboratorium Khatulistiwa Vol 8, No 2 (2025): Mei 2025
Publisher : poltekkes kemenkes pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30602/jlk.v8i2.1854

Abstract

Anemia adalah penurunan kapasitas darah dalam membawa oksigen karena jumlah sel darah merah yang kurang dari normal bisa disebabkan kehilangan banyak darah (Parulian et al., 2016). Anemia kehamilan disebut potensi membahayakan ibu dan anak, karena itulah anemia memerlukan perhatian serius dari semua pihak yang terkait dalam pelayanan kesehatan (Pratiwi & Fatimah, 2019). Beberapa penelitian melaporkan bahwa pemberian tablet Fe dapat meningkatkan kadar hemoglobin serta mengurangi kejadian anemia pada ibu hamil. Penelitian ini bertujuan untuk mengetahui apakah terdapat perbedaan kadar hemoglobin ibu hamil trimester dua sebelum dan sesudah mengkonsumsi tablet Fe di Puskesmas Siantan Tengah Kelurahan Siantan Tengah. Metode yang digunakan dalam peneltian ini adalah metode Automatic Hematology Analyzer. Sampel yang diencerkann dengan larutan elektrolit dialirkan melalui micro-apertura yang telah terkalibrasi. Hasil penelitian hasil uji normalitas bahwa nilai p-value bernilai 0,108 dan 0,200 dimana lebih besar bila dibandingkan taraf signifikansi 0,05, sehingga data berdistribusi normal. Hasil pengujian homogenitas nilai signifikansi bernilai 0,983 dimana lebih besar dibandingkan 0,05, data tersebut memiliki varians yang sama (homogen). Kesimpulan dari penelitian yang telah dilakukan terdapat perbedaan kadar hemoglobin pada ibu hamil trimester dua sebelum dan sesudah mengkonsumsi tablet Fe di Puskesmas Siantan Tengah Kelurahan Siantan Tengah dengan hasil uji diketahui nilai sig. (2-tailed) sebesar 0,000 < 0,0, maka Ho diterima. Bahwa ada perbedaan rata-rata antara hasil pemeriksaan pertama dan persamaan kedua.
Analysis of Gas Sweetening Unit for Natural Gas Using Membrane and aMDEA Technology with High CO2 Concentration > 60 % in XYZ Field Adhiatama, Zenda Christian; slamet, slamet
Jurnal Rekayasa Kimia & Lingkungan Vol 20, No 1 (2025): Jurnal Rekayasa Kimia & Lingkungan (June, 2025)
Publisher : Chemical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23955/rkl.v20i1.39423

Abstract

The XYZ field in Jatibarang, West Java, processes 19 MMSCFD of gas with CO2 content over 60%, which does not meet the 8% CO2 limit required by the gas sales agreement. Traditional absorption technologies, while effective, have high energy demands. This study aims to optimize CO2 removal by combining membrane technology with aMDEA solvent-based absorption. Aspen Hysys software was used to simulate this combined approach, with aMDEA solvent chosen for its low corrosivity and high CO2 absorption rate. The membrane technology reduces CO2 levels initially, while the aMDEA solvent further lowers them to below 8%. Simulation results show that the combined system can reduce CO2 levels to 7.949% with a sweet gas flow rate of 7.108 MMSCFD. The process requires a membrane area of 4,611 m and 172,960 lb/hr of solvent. This approach offers an effective solution for gas sweetening in fields with high CO2 concentrations, providing a more energy-efficient alternative to traditional methods.
Mengungkap Perspektif Siswa: Peran Deep Learning dalam Visualisasi Konsep dan Pemecahan Masalah Matematika Slamet, Slamet; Hendriana, Benny; Supiat
International Journal of Progressive Mathematics Education Vol. 5 No. 1 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/ijopme.v5i1.19310

Abstract

Purpose: This study explores high school students' perspectives on the integration of deep learning in mathematics education to address the dominance of procedural paradigms and barriers to visualizing abstract concepts.Design/methodology/approach: Utilizing an instrumental qualitative case study, the research focused on grade eleventh science students in Jakarta. Data were collected over eight weeks through in-depth interviews, participant observations, and document analysis of learning artifacts specifically within Geometric Transformations and Vectors.Findings: Deep learning acts as a visualization assistant and instant feedback provider, significantly reducing cognitive load. Despite initial learning curve challenges, students shifted toward iterative-experimental problem-solving approaches and enhanced conceptual focus. However, technological dependency and weak independent solution validation were identified as critical psychological barriers.Practical implications: Educators must integrate deep learning as a tool for critical thinking and exploration, supported by pedagogical strategies that cultivate data interpretation skills and critical solution validation. Originality/value: This study offers a unique contribution by providing deep qualitative insights into student agency within deep learning environments, filling a literature gap previously dominated by technical and quantitative evaluations.   Purpose: Penelitian ini bertujuan mengeksplorasi perspektif siswa SMA terhadap integrasi deep learning dalam pembelajaran matematika guna mengatasi dominasi paradigma prosedural dan hambatan visualisasi konsep abstrak. Design/methodology/approach: Menggunakan studi kasus kualitatif instrumental pada siswa kelas XI MIPA di Jakarta. Data dikumpulkan selama delapan minggu melalui wawancara mendalam, observasi partisipan, dan analisis dokumen artefak pembelajaran pada materi Transformasi Geometri dan Vektor. Findings: Deep learning berfungsi sebagai asisten visualisasi dan penyedia umpan balik instan yang mengurangi beban kognitif. Meskipun terdapat tantangan kurva pembelajaran awal, siswa menunjukkan pergeseran ke arah pendekatan pemecahan masalah iteratif-eksperimental dan peningkatan fokus konseptual. Namun, risiko ketergantungan teknologi dan lemahnya validasi solusi mandiri teridentifikasi sebagai hambatan psikologis. Practical implications: Pendidik harus mengintegrasikan deep learning sebagai alat bantu berpikir kritis dan eksplorasi, didampingi strategi pedagogis yang melatih keterampilan interpretasi data dan validasi solusi kritis. Originality/value: Studi ini memberikan kontribusi unik dengan menyediakan wawasan kualitatif mendalam mengenai agensi siswa dalam lingkungan deep learning, mengisi kesenjangan literatur yang sebelumnya didominasi oleh evaluasi teknis dan kuantitatif.
PENGEMBANGAN INSTRUMEN CABANG OLAHRAGA ATLETIK NOMOR TOLAK PELURU GAYA O’BRIEN PADA ATLET PUTRA PPLM PROVINSI RIAU Wijayanti, Ni Putu Nita; Slamet, Slamet; Wiranata, Agus
Tunjuk Ajar : Jurnal Penelitian Ilmu Pendidikan Vol. 2 No. 1 (2019): February 2019
Publisher : Jurusan Ilmu Pendidikan Fakultas Keguruan dan Ilmu Pendidikan Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/

Abstract

The problem in this reserch originated from the observation to the field researchers who focus on the implementation of the recruitment of athletes PPLM Riau province, especially athletics shot put the number of instrument test is still common for a number in athletics. Based on the needs analysis, the researchers designed a development instrument of shot-put from physical, technical, tactical, and mental aspect. Research and development of the instrument using a qualitative approach and method development research Research & Development (R & D). The subjects in this research were four people who are all athletes PPLM Riau Province in 2016. Validity of test results using the product moment correlation can be described item development instruments, which have very high criteria consists of 4 items (36.36%) are weight, height, push-ups and standing, while 7 other test items have value product moment correlation with high criteria as much as 63.36%. For the results of reliability test r11 = 0.72 This means that the reliability of the instrument development that researchers in the category of sufficient reliability
Co-Authors -, Sutriyanto A.A. Ketut Agung Cahyawan W Abdul Hamid Budiman Abdul Malik Karim Amrullah Abdur Rahim, Abdur Achmad Rasyid Ridha Achmad Vandian Nur, Achmad Vandian Ade Eka Anggraini Adharani, Salza Kartika Adhim, Muhammad Maslukil Affifatuzahara, Affifatuzahara Agung Murti Nugroho Agung Sri Hendarsa, Agung Sri Agus Salim Afrozi, Agus Ahdiansyah, Muhammad Hafidz Ainun Muthoharoh, Ainun Akbarahma, Mardika Alaiya, Syekha Vivi Alam, Nurayatul Alfien, Moh. Fajrul Ali Mandan, Ali Ali Multazam Alimandan, Alimandan Amran Jaenudin Anastasia Lidya Maukar Andrianto, Arya Anik Herwati Anik Vega Vitianingsih Anjelica, Benedikta Anjik Sukmaaji Aqmarina, Nur Ardiah Juita Ardianto, Risko Aris Aref Vai, Aref Arif Setia Sandi A. Arifianto, Rokhmat Asmuni, Hadiqoh Astuti, Diah Atikah Anindyarini AUNUR ROFIQ Azmala, Ilya Bachri, M. Febriansyah Bachri, Muhammad Febriansyah Bagaskara, Doni Yusuf Baig, Maughal Ahmed Ali Baliputra, Gigih Army Buana Balqis, Fadia Indah Bambang Heru Susanto, Bambang Heru Banun Sri Haksasi Barokatun Hasanah, Barokatun BAYU PRASTOWO Bayu Setiawan Bekti Wulandari Besi, Yovita Budi Murtiyasa Budi Santoso Budi Sungkawa, Hendra Cahyati, Angela Raisya Putri Cahyono, Erik Catur Nitya V.N., Catur Nitya Chaesar, Ari Suryawati Secio Chintia, Vika Chusniyah, Dina Asmaul Ciputra, Roni Cahya Dahliatul Hasanah Daryanto Daryanto Dea Sari, Khafifah Defi, Defi Denni Kartika Sari Desi Heltina Dewanta, Bagaskara Gita Dewanto, Satriyo Agung Dewi, Vera Melinia Dj, Herlinda Djohan Djohan, Herlinda Dwi Budi Santoso Dwi Ningsih, Yuni Astuti E.G. Lestari Edy Suryanto Eko Mugiyanto, Eko Eniya Listiani Dewi Eny Kusrini Erdiana, Luthfi Widad Esha, Muhammad In'am Evindra, Jodi Fachry Abda El Rahman Fadhilah, Isna Fahmi, Nasrina Nur Faizal Rizky Yuttama Farhan, Fikri Faris, Sukron Fauzi, Chamda Fauzi, Chamdan Fauziah, Nadia Kurnia Febrian Tri Adhi Wibowo Febrianti, Aprilia Fidarohman, Fidarohman Firdaus, Predi Firmanlindo, Dimas Satria Fitria, Mulajimatul Fitrulloh, Moch. Jassar Aqsal Frederikus Dian Indrastomo, Frederikus Dian Friarcha, Adly Fuad, Asfal Ghafur, Okta Abdul Guspari, Weldi Gustina, Adin H Sinaga, Rinaldo Agus Habibati, Almas Septia Hakim, Arif Lukman Hakim, Muhammad Fahmi Hamidan, Rusdi Hardhita, Rizki Septa Hardiyanti, Dwi Harini Harini Hariyanto, Dian Harjanti, Agnes Isti Harsono Harsono Haryadi Wibowo Haryono Haryono hasan, dahlawi Hasanah, Euis Uswatun Hayya, Fina Lu'lual Hendriana, Benny Heri Hermansyah Hidayah, Laila Fitri Nur Hidayati, Suci Himmah Taulany Husaini Usman Hutabarat, Ricard Parulian Ignatius Adrian Mastan Ihsan, Bagus Muhammad Iistiklaili, Fifti Ika Sartika Ikha Muliawati, Ikha Imam Rofiki Imam Santoso Imami, Nor Ali Sukkron Imma Fatayati Indar Kustiningsih Indra, Abel Indrawati, Iin Dyah Indriati Nurul Hidayah Indriyani, Puspa Irdyansah, Andry Irmayanti Hasan Irnawati Irnawati Irwan, Wahyurrahman Ferbiansyah Adha Muhammad Isnaini Isnaini Istiani, Lia Sukma Jaenudin, Erik Jamilah, Zahrotul Jenny Ernawati Jessica Tanuwijaya, Jessica Kamaludin Kamaludin Karjo, Karjo Kesuma Wardanie, Debleng Puja Khasanah Khasanah kholia, Amalia Khusna Santika Rahmasari Komala, Laura Kusmanto, Adi Kusrini, Kusrini Kustiningsih, Indar Labunda, Aura Iqlima Laili, Afrohatul Lambok Manurung Laula, Laula lenny kurniati, lenny Lestari, Juniarti Wulan Lestari, Wahyu Fajar Lianti Putri, Puspita Lili Marliyah Liza Choirun Nisa Lukman Subekti Luluk Elyana Luswandari, Wulan Fatikhah M. Ibadurrohman M. Rizki C, M. Rizki C Maaliki. H, Maulana Danar Made Sudana, I Mafruroh, Mafruroh Maretha Ika Prajawati Marhaeni Dwi Satyarini Maria Denok Bekti Agustiningrum Masrukhi Masrukhi Maulana, Yoppy Meti Fatimah Miftahul Huda Miftakhul Rohman, Muhammad Yasin, Iwan Marwan, Miftakhul Rohman, Milatun Khanifah Minggow, Lingua Franca Septha Misbahul Munir Mochamad Syamsiro Mochammad Arifin Mochammad Facta Moedrik, Irwan Mohamad Erihadiana, Mohamad Muarofah, Siti Najatun Muchammad Ajhi Romadhon Muh. Kasim Muhamad Ibadurrohman, Muhamad Muhammad Ibadurrohman Muhammad Noor Fitriyanto Muhammad Syaifudin Muhammad Triyogo Adiwibowo Muhklasin, Ahmad Mulyadi Mulyadi Mulyadi, Tubagus Mulyani Mulyani Mulyani, Rahmatika Munardi, Fhatia Natasya Murfiah Dewi Wulandari Musaidah, Siti Mutiarani Pionera Nana Noviada Kwartawaty Nasution, Muhammad Ali Nawab, Muhammad Ni Putu Nita Wijayanti Niam, Siti Khozinatun Nida, Khairun Ningrum, Wulan Agustin Nizar, Yusuf Bahrudin Nova, Fifit Noviana, Titik Noviyanti, Shobihatul Fitroh Novriyan, Grace Nugraha, Rizaldi Nugroho, Citra Maulidyah Rahmawati Nungki Marlian Yuliadarwati Nur Azmi Ainul Bashir Nur Rohmawati, Yuli Nur Yasin Nurhayat, Etiek Nurhayati, Etiek Nurhidayah, Larasati Sukma Nuryanti Nuryanti nuryanti, nuryanti nur Oktavia, Endah Oktaviani, Riska Kurnia Oktiawati, Unan Yusmaniar Pambudi, Dwi Bagus Pamudi Pamudi, Pamudi Pamungkas, Maulana Al Bana Pantjawati Sudarmaningtyas Pardal, S.J. Perez, Albert Yaser Permadi, Hendro Pinurti, Hayu Pradana, Adlan Bagus prajawati, mareta Prajnawati, Maretha Ika Pramesti, Rory Nur Pramudya, Stansa Senia Pranoto, Ponco Wali Prasetya, Candra Dwi Prasetya, Johan Praswasti PDK Wulan, Praswasti PDK Prihandoko, Tri Leksono Puguh Darmawan Pujiastuti, Hendrini Purnomo, Muhammad Sidiq Pusnawati, Yeni Putra, Fredriex Pramana Putra, I Gusti Ngurah Alit Widana Putri, Berliana Tristati Putri, Martina Reza R. Arbianti R. Soelistijanto Rachmanto, Wahyudi Rafinci, Ari Septia RAGAPADMI PURNAMANINGSIH Rahayu, Ardita Isnanda Rahayu, Suwasti Rahmadina, Shiva Nur Aulia Rahman, Fatchur Rahmita, Rahmita Ramli, Nurleli Ratnawati Ratnawati Riadi, Bagus Riani, Quensy Richie, Enrico Rifaldi, Ridho Rike Yudianti Rini Nurhakiki Rita Arbianti Riyadi Syakur, Riyadi Rizqi, Innas Iffat Rizqial, Farchan Ananda Rofiqi, Rofiqi Romanto, Romanto Roy Ardiansyah, Roy Rozi, Fajrul RR. Ella Evrita Hestiandari Rusdi, Jack Febrian Rustanto Rahardi Sabarudin Sabarudin Saddam Husein, Saddam Salim, Maulidyah Salsabila, Salma Fi Sandika, I Kadek Budi Sani, Mutiara Sanjaya, David Julius Sari, Mada Sumringah Sari, Ratih Ayu Puspita Sayidatu Zahrok, Firlia Setianto, Gigih Setiyowati, Supami Wahyu Setyaningsih, Sri Shafira, Siti Nur Azizah Shofiyyah Taqiyyah sinaga, Bandarudin Welman Sindyana, Amanda Putri sirait, ramsyuren putra Siti Amina siti Nurindah Sari Soebandriyo, Soebandriyo Sohri, Moch. Solihandari , Shinta Sopyan, Iis SRI RAHAYU Sri Rahayuningsih Sri Sayekti Sri Wahyuni Sri Widayati Sri Yulaikah, Sri Srihadi Srihadi Sugito - Sugiyanto - Sugiyono Sugiyono Suhono Suhono, Suhono Sujatmiko, Amin Sulaiman, Robi Sulastio, Agus Sulastio, Agus Sulatio, Agus Sumardi . Sumarwati Supiat Supriyanto Supriyanto Suprizal, Suprizal sururi, endri Susy Kuspambudi Andaini Sutriswanto, Sutriswanto Suwadji, Suwadji Suwandi, Edy Suwasono, Prayitno Ribut Syafriadinata, Ridho Syafriwan, Dio Syahdilla, Ade Syaiful Hamzah Nasution Syamsiar, Syamsiar Syamsul Arifin Syamsul Rizal Syarifah, Dewi Tamaulina Br Sembiring Teguh Widodo Titik Susiatik Tri Suminar Trianingsih Eni Lestari Triyantoro, Haris Tugino, Tugino Tuti Mutia Ulhaq, M Daffa’ Dhiya’ Ulul Azmi Ulum, Mazro’atul Ulung, Ridwan Printis Umarella, Novel Umi Trisnaningsih Ummie Masrurah Urmatul Waznah Utari, Dewi Vicky Andria Kusuma victoria, yeni Vitandi, Immellia Novitasari Viviyanti Johar, Intan Wahyu Danumulyo, Wahyu Wardani, Suci Kesuma Wasino Wasino Wicaksono, Dandy Widia Yanti, Widia Widiyanti, Leonita Wijayanti, Ni Putu Putu Nita Winarni, Dyah Setyaningrum Winarno, Andhika Sarfatra Wiranata, Agus Wirasti, Wirasti Wulandari, Azhari Putri Wuryanto, Nareswari Hidayah Yayu Indriati Arifin YM. Indarwati Rahayu Yudi Kristyawan, Yudi Yundari, Yundari Yuniar, Ni Ratih Putri Yusrilia, Yusrilia Yustiana Putri, Naimatul Jannah Yusuf, Adrian Edoardo Zalzalah, Guruh Ghifar Zenda Christian Adhiatama Zidni Imanurrohmah Lubis Zubaidah R, Zubaidah Zuhri, Muchammad Syaifudin Zusrotin, Zusrotin