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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Teknika: Jurnal Sains dan Teknologi Jurnal Biodjati Turbo : Jurnal Program Studi Teknik Mesin Jurnal Agribisnis Terpadu MUST: Journal of Mathematics Education, Science and Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan CYCLOTRON Jambura Journal of Mathematics TEKNIKA Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Jurnal Abdidas Jurnal Statistika dan Matematika (Statmat) Journal of Mathematics Education and Science Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Kaunia: Integration and Interconnection of Islam and Science Journal Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Civil Engineering For Community Development Jurnal Pengabdian Pada Masyarakat Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Journal of Community Service in Science and Engineering Jurnal Inovasi Teknologi Terapan Trends in Mechanical Engineering Research Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat Theta: Journal of Statistics SEBA : Seputar Pengabdian Jurnal Pengabdian Kepada Masyarakat
Syarif Abdullah
Universitas Sultan Ageng Tirtayasa
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 Energy 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

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Empowering the Creative Economy through Digital Branding and E-Commerce Optimization for KWT Bunga Telang in Tegal Ratu Village Wijaya, Ferdian Bangkit; Budiaji, Weksi; Arina, Faula; Sonda, Atia; Mahuda, Isnaini; Abdullah, Syarif; Utami, Sofi Cahya; Wirantara, Syahtriandi
Journal of Community Service in Science and Engineering (JoCSE) Vol 5, No 1 (2026): Available Online in April 2026
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jocse.v5i1.39772

Abstract

Community service is a fundamental pillar of higher education aimed at transforming academic research into practical solutions for societal empowerment. This community service program focuses on the KWT Bunga Telang in Tegal Ratu Village, Cilegon, which faces significant hurdles in digital transformation despite having high-potential herbal products. Using a participatory approach, this program implemented a comprehensive strategy involving upstream production standardization, visual branding restructuring, and downstream digital marketing optimization. The concrete outputs of this program include standardized professional packaging designs, a curated digital product catalog, and a verified e-commerce presence on the Shopee platform. Results from pre-test and post-test evaluations indicated a significant increase in the partners' cognitive and practical mastery, rising from an average of 42% to 88%, with a mean difference of 46%. This intervention effectively shifted the group’s operations from traditional, limited local sales to a broader digital market reach, lowering psychological barriers toward technology adoption and establishing a robust digital presence for local herbal products. The synergy between academia and local stakeholders proved essential in accelerating economic independence for women-led micro-enterprises.
Tax Inclusion Strategy: Transforming Voluntary Compliance through Educational Pathways Abdullah, Syarif; Notonegoro, Hamdan Akbar; Hendra, Hendra; Septiana, Reski; Subekti, Subekti; Lestari, Rini Dwi; Yusuf, Maulana; Soegijono, Bambang; Taryana, Een; Imastuti, Imastuti
Journal of Community Service in Science and Engineering (JoCSE) Vol 5, No 1 (2026): Available Online in April 2026
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jocse.v5i1.39868

Abstract

Taxation is a vital instrument within a country's fiscal structure; however, low tax awareness remains a significant challenge in achieving voluntary compliance in Indonesia. This study aims to analyze the effectiveness of the tax awareness inclusion program as a long-term strategy to build tax-conscious citizenship through secondary education. Utilizing a participatory-educational communication approach, this initiative was conducted at SMPN 1 Cisata, Pandeglang, involving students as active subjects. Data were gathered through participant observation, interactive discussions, and post-socialization evaluations. The findings indicate that the use of adaptive visual media and message simplification effectively reduced negative stigmas and transformed students' understanding of tax roles as a social contract and a national development instrument. This study concludes that early internalization of taxation values not only enhances cognitive fiscal literacy but also positions students as potential agents of change in influencing public perception within their families. Strategic recommendations are directed towards systematic curricular integration to ensure the sustainability of a tax-aware culture in the future.
Customer Segmentation of GrabBike Users Based on RFM Analysis Using K-Means Clustering: A Case Study of Engineering Faculty Students Kinanthi Trah Asmaraningtyas; Rafly Priyantama Ramadhan Bagaskara; Rafi Ramadhan Asshiddiqie; Agung Satrio Wicaksono; Syarif Abdullah; Himmatul Mursyidah
Theta: Journal of Statistics Vol 2, No 1 (2026): Available Online in March 2026
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v2i1.39395

Abstract

The development of online transportation services has changed the mobility patterns of society, including among students who have high activity levels. GrabBike, as one of the application-based transportation services, is widely used by students to support their activities. Differences in intensity and usage patterns require a deeper understanding of user behavior through customer segmentation. Therefore, this study aims to segment GrabBike service users among students of the Faculty of Engineering, Sultan Ageng Tirtayasa University, using the RFM model with the application of the K-Means algorithm. This study uses a quantitative survey method with data collection through an online questionnaire (Google Form). The data used is primary data from 86 respondents who are students of the Faculty of Engineering who are GrabBike users. The stages of research include data collection, data preprocessing (cleaning, RFM transformation, and standardization using Standard Scaler), application of the K-Means algorithm, and analysis of segmentation results. The optimal number of clusters was determined using the Elbow and Silhouette methods. The results of the study show that the optimal number of clusters is three. Segmentation using the K-Means algorithm produces three user segments, namely Top Class Users, Ordinary Users, and Low Users. The Top Class Users segment has the highest frequency of use and expenditure, making them potential loyal users. The Ordinary Users segment is the largest segment with moderate usage levels and has the potential to be increased through targeted marketing strategies. Meanwhile, the Low Users segment has low usage levels and requires reactivation strategies. Overall, the K-Means-based RFM approach has proven effective in grouping GrabBike users based on usage behavior and can be used as a basis for formulating more targeted online transportation service marketing strategies.
Similarity Analysis of the Default Transition of Bond Issuer in Indonesia using Euclidean Distance Aulia Ikhsan; Fikri C Permana; Ayu Nurulhaq Putri; Rifki Hamdani; Mukhtar Mukhtar; Syarif Abdullah; Rifqy Hafizh; Muhammad Hikam Adiguna; Dinda Dwi Anugrah Pertiwi; Kinanthi Trah Asmaraningtyas
Theta: Journal of Statistics Vol 1, No 1 (2025): Available Online in March 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i1.31335

Abstract

The debt instrument (bond) as one of the investment instruments in the Capital Market has a main risk known as default. Default risk can be mitigated if investors assess the credit quality of the bond and its issuer, as measured by rating. In this research, the initial rating of issuers was investment grade (BBB or higher) and valid for at least 1 year, with their business operations based in Indonesia. The observation period was from 2007 to 2023. A Markov Chain was used to create a transition matrix to analyze transitions and default. The probability of AAA staying over 1 year is 0.9858 whereas the likelihood of AA, A, and BBB staying in the same rating is 0.9203, 0.8825, and 0.8630, respectively. The BBB in a 5-year transition has the highest probability of default by 0.0370. The Euclidean distance was used to measure the similarity of default durations. The 1-year and 3-year transition have the shortest distance, at  0.00939. The conclusion of this research is a higher rating has a higher probability of staying at the same rating and carries lower risk. Furthermore, 1-year and 3-year transitions show similarities based on their probability of default.
Application of the TARCH Model for Stock Price Prediction: Evidence from PT Bank Rakyat Indonesia (BRI) Tbk Putri Dina Sari; Faula Arina; Aulia Ikhsan; Isnaini Mahuda; Syarif Abdullah; Patricia Pingkan Kumenap; Regina Dwirahma Alisya
Theta: Journal of Statistics Vol 1, No 2 (2025): Available Online in September 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i2.35930

Abstract

Stock price volatility is a crucial aspect in capital market analysis because it can influence investment decisions. The GARCH model is commonly used to model volatility, but this model assumes that positive and negative shocks affect volatility symmetrically. In practice, particularly in banking stocks, asymmetric effects are often observed, with negative shocks having a greater impact on volatility than positive shocks. To address this issue, this study uses the Threshold ARCH (TARCH) model, which is capable of capturing asymmetric effects. The research data consists of the daily closing prices of PT Bank Rakyat Indonesia (BRI) Tbk shares from January 2, 2015, to September 12, 2025. The results show that the TARCH model is more appropriate than the symmetric GARCH model, as the asymmetry coefficient is significant, indicating the presence of leverage in BRI shares. Therefore, the TARCH model can be used to forecast BRI stock volatility and provide more accurate information for investors and analysts in anticipating market risks.
PERAN MAHASISWA KKM 57 DESA PARIGI DALAM PENGUATAN LITERASI ANAK MELALUI PROGRAM MEMBACA NYARING Umroh Umroh; Febrianti Satibi; Fikri Nur Alim; Gumelar Saktiana; Andriansah Andriansah; Frisky Friendly Jovial; Tb.Moch Riad All Fariz; Febryanna Rachmawati; Nova Eliza; Putri Sabrina; Shifa Hafizha Safira; Meidita Sabrina; Jihan De Sabilla; Syarif Abdullah
SEBA: Jurnal Pengabdian kepada Masyarakat Vol 1, No 2 (2025)
Publisher : SEBA: Jurnal Pengabdian kepada Masyarakat

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

Abstract

Literacy skills serve as a fundamental pillar in supporting children's cognitive and socio-emotional development. Unfortunately, disparities in access to literacy resources remain prevalent, particularly in rural areas such as Parigi Village. The read-aloud program initiated by KKM 57 student volunteers emerged as a strategic effort to cultivate a joyful and inclusive reading habit among children in the community. This study adopts a descriptive qualitative approach to provide an in-depth account of the program's implementation and its impact on children's motivation and engagement in literacy activities. Data were collected through observations, interviews, and documentation during activities held at the "Desaku Cerdas" Community Library. The findings indicate that the read-aloud method successfully created a welcoming and interactive learning environment, increased children's confidence to express themselves, and encouraged parental involvement in supporting children's reading habits. These outcomes reinforce the idea that simple yet participatory approaches like reading aloud can be effective alternatives in promoting community-based literacy culture. Therefore, similar programs are worth replicating in other areas with appropriate contextual adaptations. Keywords: literacy, reading aloud, KKM 57
Sistem Pendukung Keputusan Berbasis Metode Weighted Product untuk Memprioritaskan Bantuan Rumah Tidak Layak Huni (RTLH) Yudha Sabekti; Himmatul Mursyidah; Syarif Abdullah
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.250

Abstract

Seleksi penerima bantuan rumah tidak layak huni seringkali melibatkan banyak kriteria dan sumber daya yang terbatas, sehingga pengambilan keputusan manual rentan terhadap subjektivitas dan inkonsistensi. Untuk mengatasi masalah ini, penelitian ini mengusulkan Sistem Pendukung Keputusan (Decision Support System (DSS)) berbasis web berdasarkan metode Weighted Product (WP) untuk mendukung prioritas penerima bantuan rumah tidak layak huni di tingkat desa. Sistem yang diusulkan mengevaluasi rumah tangga kandidat menggunakan banyak kriteria, termasuk kondisi rumah, usia bangunan, status kepemilikan tanah, pendapatan rumah tangga, dan jumlah tanggungan. Metode WP diterapkan sebagai model pengambilan keputusan multi-kriteria untuk menggabungkan atribut manfaat dan biaya melalui mekanisme perkalian, menghasilkan peringkat prioritas kandidat. Sistem ini diimplementasikan sebagai aplikasi berbasis web untuk memfasilitasi aksesibilitas dan kegunaan bagi pengambil keputusan. Untuk mengevaluasi efektivitas sistem, digunakan desain pre-test dan post-test, dan hasilnya dianalisis menggunakan uji t sampel berpasangan. Hasil menunjukkan bahwa DSS yang diusulkan mampu menghasilkan peringkat prioritas yang jelas dan konsisten serta secara signifikan meningkatkan kinerja pengambilan keputusan pengguna, sebagaimana dibuktikan oleh perbedaan yang signifikan secara statistik antara skor pre-test dan post-test (p < 0,05). Temuan ini menunjukkan bahwa DSS berbasis WP secara efektif mendukung pengambilan keputusan yang terstruktur dan objektif dalam prioritas bantuan rumah. Sistem yang diusulkan memberikan kontribusi praktis terhadap penerapan teknologi pendukung keputusan dalam sistem informasi sektor publik.
STOCHASTIC MODELING OF BEARING FAILURE TIME USING THE WEIBULL DISTRIBUTION: A MONTE CARLO SIMULATION APPROACH Syarif Abdullah; Himmatul Mursyidah; Mekro Permana Pinem; Sri Istiyarti Uswatun Chasanah; Miftahul Huda; Fajri Ikhsan; Agung Satrio Wicaksono; Reka Pandu Anggara
Trends in Mechanical Engineering Research Vol 3, No 2 (2025): December
Publisher : Department of Mechanical Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/timer.v3i2.37059

Abstract

This paper introduces a hagoslot stochastic model to investigate the failure times of bearings based on a two-parameter Weibull distribution utilizing Monte Carlo simulation. The failure times were fitted based on maximum likelihood estimation, and the parameters showed that the wear-out failure type with an increasing hazard rate (β>1) was corresponding to the fatigue-induced breakdown phenomenon in the rolling bearings. A Monte Carlo simulation with 1000 runs was performed to quantify the uncertainty of lifetime predictions, which have presented relatively high spreads but stable central tendencies in the Weibull parameter estimates. Survival analysis and hazard function showed increasing probability of failure with time, indicative of the need for prognosis-based maintenance. The findings demonstrate that the Weibull model is a reliable and interpretable paradigm that can be used to describe the probabilistic nature of mechanical component failure. The presented modeling strategy is appropriate for both engineering purposes and simulation-based reliability analyses, possibly evolved into a mixture-Weibull representation or data-driven parameter estimation.
Modeling the Health Service Queuing System Using Petri Net and Max-Plus Algebra at Integrated Health Service Post (Posyandu) Syarif Abdullah; Himmatul Mursyidah; Ferdian Bangkit Wijaya; Miftahul Huda; Sri Istiyarti Uswatun Chasanah; Nadia Eka Nursafitri; Dinda Dwi Anugrah Pertiwi
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 1 April 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i1.35889

Abstract

This study models the health service queue system at the Integrated Health Service Post (Posyandu) in Cilegon City, Banten, using the Petri Net and Max-Plus Algebra approaches to analyze the flow of participant arrivals and completion times. The data used are observational data from Posyandu activities simulated through a discrete event model, which includes several types of participants, namely: babies not standing yet, babies standing, pregnant mothers, and family planning programs. Petri Net modeling is used to represent the relationship between service transitions, while Max-Plus Algebra is used to calculate the process cycle time based on the critical path. The results of the study showed that the categories of non-standing babies, standing babies, and pregnant women/participants in the family planning program had identical service time patterns, namely a total duration of 17 minutes 19 seconds, with the main stages including measurement, midwife intervention, and provision of additional food. Max-Plus analysis confirms that the measurement and midwife intervention stages are the critical path that determines the length of service time. This study concludes that the combination of Petri Net and Max-Plus Algebra is effective in describing the dynamics of Posyandu queues and is able to provide quantitative information needed to identify bottleneck points and the basis for improving the service flow.
Metallothionein Protein Modeling from Pseudomonas aeruginosa PAO1 as A Metal Biosorber Candidate Fajri Ikhsan; Ahmad Shulhany; Syarif Abdullah
Jurnal Biodjati Vol 8 No 2 (2023): November
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/biodjati.v8i2.29170

Abstract

Metallothionein is a protein that is well known to play a role in metal metabolism in bacterial cells. Metallothionein is a multifunctional protein that has the potential to be used as a metal adsorbing agent. Pseudomonas aeruginosa is a ubiquitous gram-negative and rapid-growth bacterium. In addition, the complete genome of Pseudomonas aeruginosa has been largely known. Pseudomonas aeruginosa PAO1 is a strain of Pseudomonas aeruginosa that the complete genome of this strain is easily accessible in NCBI. These features make Pseudomonas aeruginosa PAO1 become a common model in bacterial studies. This research aimed to find and model the putative metallothionein of Pseudomonas aeruginosa PAO1. This research was carried out by bioinformatic and protein homology methods. Based on the results, the putative metallothionein of Pseudomonas aeruginosa PAO1 was found in the bacterial genome at base sequence of 2355918 to 2356157. The putative metallothionein-encoding gene of Pseudomonas aeruginosa PAO1 has a size of 240 bp. The translation result of the gene showed that the putative metallothionein of Pseudomonas aeruginosa PAO1 has 79 amino acids. The modeling result showed the 3D structure of the putative metallothionein of Pseudomonas aeruginosa PAO1 is similar to the metallothionein 3D structure of Pseudomonas fluorescens Q2-87. The 3D structure of the putative metallothionein of Pseudomonas aeruginosa PAO1 was dominated by turn and coil, but contained 1 α-helix structure and 2 β-sheet structures. Based on protein analysis, it was found that the putative metallothionein of Pseudomonas aeruginosa PAO1 has 1 metal-binding cluster with 10 amino acids and the most important amino acid residue is Cysteine . Even though, there was 1 Histidine amino acid residue on the metal-binding cluster.
Co-Authors Aditiyo Hermawan Agung Satrio Wicaksono Agung Satrio Wicaksono Agung Sudrajad Agung Sudrajat Agusutrisno Agusutrisno Agusyarif Rezka Nuha Alam, Tubagus Bakhrul Alfian Firmansyah Alhamidi, A. Ali Andriansah Andriansah Anwaar Al'Fathoni, Muhammad Khoirul Arina, Faula Arina, Faula Asep Asep Rahmatullah Asmaraningtyas, Kinanthi Trah Aswata Aswata Aswata Aswata Aswata Wisnuadji Atia Sonda Aulia Ikhsan Aulia Ikhsan Ayu Nurulhaq Putri Azhar, Fawwaz Nur Baehaki, Ahmad Bagaskara, Rafli Priyantama Ramadhan Bagaskara, Rafly Priyantama Ramadhan Bangbang Kurniawan Baskoro Adi Hermawan Budiaji, Weksi Budiaji, Weksi Budiaji, Weksi Bukhari, Ahmad Caturwati, Ni Ketut Chasanah, Sri Istiyarti Uswatun Dedy Triawan Suprayogi Delano, M Fabian Reinhard Dhimas Satria Dinda Dwi Anugrah Pertiwi Dwi Isyana Achmad Dwinanto Dwinanto Dwinanto Sukamto Dwinanto, Dwinanto Erny Listijorini Erwin Erwin Erwin Erwin, Erwin Erwin, Erwin Erwin, Erwin Erwin, Erwin Fadwah Maghfurah Faiz, Syukron Faizah, Nabila Fajri Ikhsan Fajri Ikhsan Fajri Ikhsan Fajri Ikhsan Fathmi, Nur Fajria Amalia Febrianti Satibi Febryanna Rachmawati Ferdian Bangkit Wijaya Fikri C Permana Fikri Nur Alim Frisky Friendly Jovial Gumelar Saktiana Gustriza Erda Hadi Wahyudi Hanif Fauzan Nadif Haryadi Haryadi Haryadi Haryadi Haryadi Haryadi Haryadi, Haryadi Haryadi, Haryadi Hendra, Hendra Hendra, Hendra Herayati, Herayati Himmatul Mursyidah Himmatul Mursyidah Huda, Mifathul I Wayan Mangku Ikhsan Fajri, Ikhsan Ikhsan, Aulia Ikhsan, Fajri Imastuti, Imastuti Imron Rosyadi Imron Rosyadi Imron Rosyadi Iqbal Maulana Irfani Azis Ismawati, Iis Isnaini Mahuda Jannah, Miftahul Jannah, Miftahul Jannah, Miftahul Jannah, Miftahul Jihan De Sabilla Kanani, Nufus Kevin Dion Valen Boy Kinanthi Trah Asmaraningtyas Kurnia Nugraha La Ode Nashar Lestari, Rini Dwi Lestari, Rini Dwi Lidyasari, Nadia Bintang Listijorini , Erny Listijorini, Erny Listijorini, Erny Lusiani, Rina Lusiani, Rina Lusiani, Rina Maharani, Siti Destiana Mahuda, Isnaini Mahuda, Isnaini Majahar Ali, Majid Khan Manik, Heni Novyani Marvel, Marchello Maulana Alfa Rizki Megasari, Anggita Meidita Sabrina Mekro Permana Pinem Mekro Permana Pinem Mekro Permana Pinem Miftahul Huda Miftahul Jannah Miftahul Jannah Muhamad Syazali Muhammad Hikam Adiguna Muhammad Reza Ghifari Muhtar Muhtar Mukhtar Mukhtar Mukhtar, Mukhtar Mulyati, Sri Mursyidah, Himmatul Mu’jizatin Fadiana Nadia Eka Nursafitri Ni Ketut Caturwati, Ni Ketut Nina Valentika Nina Valentika Notonegoro, Hamdan Akbar Notonegoro, Hamdan Akbar Notonegoro, Hamdan Akbar Nova eliza Nurhamida, Nurhamida Nurlaila, Sinta Nursyirwan , Vivi Iswanti Oktarisa, Yuvita Oktaviani, Risma Patricia Pingkan Kumenap Pertiwi, Dinda Dwi Anugrah Pinem, Mekro Permana Pinem, Mekro Permana Pramujad, Adam Proni, Raffles Putra Putri Dina Sari Putri Sabrina Putri, Elysia Tanya Qolbi, Fatimah Nurul Rafi Ramadhan Asshiddiqie Rafly Priyantama Ramadhan Bagaskara Rahel, Gabe Nur Rahman, Gusti Arviana Rahmawati, Septi Dwi Rani Septiani Sukandar Regina Dwirahma Alisya Reka Pandu Anggara Rifki Hamdani Rifqy Hafizh Rivai, Muklas Rizqi Fauzi Robby Zidny Rofikoh, Siti Nayatu Rosyadi , Imron Saefuloh, Iman Salamah, Khadijah Barorotus Salsabila, Adinda Kanza Sari, Putri Dina Selina, Novalia Qoiri Putri Septiana, Reski Septiani, Melti Setiawan, Ipick Shifa Hafizha Safira Shofiatul Ula Shofiatul Ula Sholihin, Miftahus Sholihin, Miftahus Shulhany M, Ahmad Sidik Susilo Siti Na&#039;imah Slamet Wiyono Slamet Wiyono Soegijono, Bambang Sonda, Atia Sri Istiyarti Uswatun Chasanah Sri Istiyarti Uswatun Chasanah Sri Istiyarti Uswatun Chasanah Sri Istiyarti Uswatun Chasanah Sri Sukmawati Sri Sukmawati Subekti, Subekti Sudiani, Rizka Falah Sudrajad, Agung Sukamto, Dwinanto Sukandar, Rani Septiani Sukarna, Royan Habibie Sunardi Sunengsih, Neneng Suprayogi, Dedy Triawan Susilo, Sidik Susilo, Sidik Susilo, Sidik Taryana, Een Tb.Moch Riad All Fariz Ula, Shofiatul Ula, Shofiatul Ula, Shofiatul Ula, Shofiatul Ummul Mughfiroh Umroh Umroh Usfita Kiftiyani Utami, Sofi Cahya Valentika, Nina Warli Warli WICAKSONO, AGUNG SATRIO Wicaksono, Agung Satrio Wicaksono, Agung Satrio Wildan Firdaus Wirantara, Syahtriandi Wiyono , Slamet Wiyono, Slamet Wiyono, Slamet Wiyono, Slamet Yazid Rukmayadi Yazid Rukmayadi Yolla Sukma Handayani Yudha Sabekti Yulianti, Amalia Dwi Yulianti, Devi Yustinus Purwamargapratala Yusuf , Yusvardi Yusuf, Maulana Yusuf, Yusvardi Yusuf, Yusvardi Yusvardi Yusuf Zahro, Fatichatu Zaidan, Athallah