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Swasti Maharani

Universitas PGRI Madiun

Author-ID : 2463419

Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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Challenges in Numeracy: The Role of Mathematics Anxiety in Shaping Eleventh-Grade Students’ Problem-Solving Abilities Tiara Citra Maharani Firdaus; Sanusi Sanusi; Swasti Maharani
AL-ISHLAH: Jurnal Pendidikan Vol 17, No 4 (2025): DECEMBER 2025
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v17i4.5550

This study investigates the learning barriers experienced by eleventh-grade high school students in solving mathematics problems related to numeracy literacy, with particular attention to their levels of mathematics anxiety. Numeracy literacy is essential for students to apply mathematical concepts in real-life contexts; however, many struggle due to cognitive and emotional challenges. Using a qualitative research design, data were collected through classroom observations, semi-structured interviews, and analysis of student work. Participants were selected purposively from a public high school, ensuring variation in performance and reported anxiety levels. The findings reveal that students commonly face difficulties in understanding foundational mathematical concepts, such as fractions, algebraic operations, and data interpretation from tables or graphs. Many also demonstrate limited ability to connect mathematical problems with real-world applications, such as calculating percentages in discounts or interpreting statistical information. Moreover, students struggle to identify relevant information and apply appropriate problem-solving strategies. These barriers are strongly linked to mathematics anxiety, which is evident through behaviors such as hesitation, avoidance, and reduced confidence during numeracy tasks. High-anxiety students often experience deeper conceptual misunderstandings and exhibit less persistence in solving problems. The results suggest that effective instructional approaches should not only address conceptual gaps but also incorporate emotional support to reduce anxiety and improve engagement. Future research is recommended to develop and test targeted interventions aimed at overcoming both cognitive and affective barriers in mathematics learning.

Exploring Ethnomathematics in Junior High Schools: Indonesia's Contribution and Research Clusters in Enhancing 21st Century Skills Ardhya Pramesthi Regita Iriandre; Swasti Maharani; Darmadi Darmadi; Hendrisa Rizqie Romandoni
AL-ISHLAH: Jurnal Pendidikan Vol 17, No 1 (2025): MARCH 2025
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v17i1.5549

Ethnomathematics is a field that integrates mathematical concepts with cultural elements. At the junior secondary school level, it offers significant benefits by contextualizing mathematics through students’ cultural backgrounds and traditions. This study explores the application of ethnomathematics in junior high schools, focusing on Indonesia’s contribution to this field and identifying key research clusters. A bibliometric analysis design was employed using data sourced from Dimensions AI. A total of 645 publications were analyzed using VOSviewer and Microsoft Excel. The analysis followed a descriptive qualitative approach to identify trends and patterns in the literature. Findings reveal that Indonesia is the leading contributor to ethnomathematics research at the junior secondary level, indicating its dominant role in this domain. Nineteen research clusters were identified, with primary themes including technology integration, ethnomathematics, batik, mathematical communication, assessment, mathematical concepts, and learning media. These clusters highlight a growing focus on technology-based learning media aimed at enhancing 21st-century skills. The results demonstrate that ethnomathematics in Indonesia is not only culturally relevant but also increasingly aligned with digital innovations in education. The integration of local culture with technology-based media fosters critical skills such as computational thinking and problem-solving. This study concludes that Indonesia plays a significant role in advancing ethnomathematics at the junior high school level, particularly through the development of technology-enhanced learning media that support 21st-century skill development.

Integration And Evaluation of Computational Thinking in Mathematics Education: A Systematic Review of Research 2016-2025 Romandoni, Hendrisa Rizqie; Nurhasanah, Farida; Maharani, Swasti
Mosharafa: Jurnal Pendidikan Matematika Vol. 14 No. 4 (2025): October
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v14i4.3548

Penelitian ini bertujuan memetakan bagaimana computational thinking (CT) diintegrasikan dalam pendidikan matematika serta bagaimana CT dan hasil belajar matematika dievaluasi dalam studi empiris terindeks Scopus periode 2016–2025. Tinjauan disusun mengikuti pedoman PRISMA 2020 melalui penelusuran Scopus; penelusuran awal menghasilkan 149 artikel dan 54 artikel memenuhi kriteria inklusi untuk dianalisis. Data diekstraksi lalu dianalisis menggunakan analisis deskriptif dan tematik untuk mengidentifikasi pola integrasi CT–matematika dan pendekatan evaluasinya. Hasil menunjukkan tren publikasi meningkat dengan puncak produktivitas sekitar 2022–2023. Sebaran penelitian didominasi konteks Global North, sehingga transfer model integrasi ke konteks berdaya dukung terbatas perlu dikaji lebih hati-hati. Integrasi CT paling sering berorientasi alat. Dari sisi evaluasi, studi menggunakan beragam asesmen, namun ditemukan ketidakkonsistenan indikator CT dan capaian matematika, penggunaan instrumen yang berdiri terpisah, serta keterbatasan validasi lintas konteks dan jenjang pendidikan, sehingga asesmen autentik yang secara eksplisit mengukur keterkaitan CT dan capaian matematika dalam satu kerangka tugas masih terbatas. Temuan ini menegaskan perlunya pergeseran dari integrasi yang tool-driven menuju concept-driven serta pengembangan asesmen CT–matematika yang lebih autentik dan adaptif, termasuk untuk konteks Indonesia. This study mapped how computational thinking (CT) has been integrated into mathematics education and how CT and mathematics learning outcomes have been evaluated in empirical Scopus-indexed research from 2016 to 2025. A systematic review was conducted following PRISMA 2020 guidelines. The initial search retrieved 149 records, and 54 studies met the inclusion criteria for analysis. Data were extracted and analyzed using descriptive and thematic approaches. Findings show a rising publication trend with peak productivity around 2022–2023. Studies were dominated by Global North contexts, raising concerns about transferability to resource-limited settings. CT integration was most often tool-oriented, while unplugged and concrete-manipulative approaches emerged as feasible alternatives. From an assessment perspective, studies employed diverse approaches; however, inconsistencies in CT and mathematics indicators, fragmented measurement of the two domains, and limited cross-context and cross-level validation were evident, indicating that authentic assessments jointly capturing CT and mathematics achievement within a single task framework remain scarce.

DEVELOPMENT OF COMPUTATIONAL THINKING-BASED E-COMIC TO IMPROVE NUMERACY SKILLS STUDENTS Hanida, Rifa Arma; Maharani, Swasti; Sanusi, Sanusi
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 15, No 1 (2026)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v15i1.13572

This research is a development research (R&D) motivated by the low numeracy skills of students in understanding data presentation materials. The purpose of the research is to develop learning media in the form of E-Comic based on Computational Thinking (CT) to improve the numeracy skills of seventh grade students. The development model used is ADDIE, which includes five systematic stages: Analysis, Design, Development, Implementation, and Evaluation. The subjects of the research were seventh grade students of SMP Negeri 4 Kota Madiun. Data were collected using validation sheet instruments, questionnaires, and tests. The results showed that the E-Comic media obtained validation from media experts with an average percentage of 90%, categorized as very valid. In terms of practicality, this media was considered very practical with an achievement of 89.38% in limited trials and 86.42% in field trials. The effectiveness of the media was analyzed using the N-Gain score, which showed an increase in learning outcomes of 76.18% in limited trials and 77.20% in field trials, both in the high category. The implementation of CT principles in learning through E-Comics has been proven to guide students to think systematically, logically, and creatively in understanding and presenting data. Therefore, this CT-based E-Comic learning medium is valid, practical, effective, and relevant for mathematics learning, particularly data presentation, and is in line with the needs of 21st-century learning.

DEVELOPMENT OF COMPUTATIONAL THINKING-BASED E-LKPD TO IMPROVE STUDENTS' MATHEMATICAL LITERACY SKILLS IN INTEGER MATERIALS Hani'ah, Alfi Nur; Maharani, Swasti; Suprapto, Edy
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 15, No 1 (2026)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v15i1.13573

Rendahnya literasi matematika siswa, khususnya dalam merumuskan, menggunakan, dan menafsirkan konsep bilangan bulat dalam konteks nyata, menunjukkan bahwa pembelajaran yang berlangsung belum mampu menghubungkan konsep abstrak dengan situasi sehari-hari. Pembelajaran konvensional dan keterbatasan bahan ajar digital yang terintegrasi dengan Computational Thinking membuat siswa kurang terfasilitasi untuk berpikir logis dan sistematis dalam menyelesaikan masalah. Penelitian ini bertujuan untuk mengembangkan E-LKPD berbasis Computational Thinking untuk meningkatkan kemampuan literasi matematika siswa kelas VII SMP. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan ADDIE yang meliputi lima tahap : analisis, desain, pengembangan, implementasi, dan evaluasi. Subjek uji coba terdiri dari siswa kelas VII di SMP Negeri 4 Kota Madiun. Instrumen penelitian mencakup lembar validasi, angket respon siswa, serta soal pretest dan posttest. Teknik pengumpulan data menggunakan angket, observasi, wawancara, tes. Analisis data dilakukan dengan mengolah skor dari lembar validasi, angket respon siswa, serta hasil pretest dan posttest menjadi persentase untuk menilai kualitas isi, tampilan, dan pengalaman penggunaan produk. Hasil validasi menunjukkan bahwa E-LKPD tergolong sangat valid, dengan persentase kevalidan ahli materi sebesar 86,25% dan ahli media sebesar 85,7%. Kepraktisan E-LKPD dinilai cukup praktis, dengan persentase 82,17% pada uji coba terbatas dan 82% pada uji coba lapangan. Efektivitas E-LKPD juga tergolong cukup efektif, ditunjukkan dengan peningkatan hasil belajar siswa melalui nilai N-Gain sebesar 67,5% (uji terbatas, kategori cukup efektif) dan 61,5% (uji lapangan, kategori cukup efektif).The low mathematical literacy of students, especially in formulating, using, and interpreting integer concepts in real contexts, shows that the learning that takes place is not able to connect abstract concepts with everyday situations. Conventional learning and the limitations of digital teaching materials integrated with Computational Thinking make students less facilitated to think logically and systematically in solving problems. This research aims to develop Computational Thinking-based E-LKPD to improve the mathematical literacy skills of grade VII junior high school students. This research uses the Research and Development (R&D) method with the ADDIE development model which includes five stages: analysis, design, development, implementation, and evaluation. The test subjects consisted of grade VII students at SMP Negeri 4 Madiun City. The research instruments include validation sheets, student response questionnaires, and pretest and posttest questions. Data collection techniques use questionnaires, observations, interviews, tests. Data analysis was carried out by processing scores from validation sheets, student response questionnaires, and pretest and posttest results into percentages to assess the quality of content, display, and experience of using products. The validation results showed that E-LKPD was classified as very valid, with a validity percentage of material experts of 86.25% and media experts of 85.7%. The practicality of E-LKPD is considered quite practical, with a percentage of 82.17% in limited trials and 82% in field trials. The effectiveness of E-LKPD is also quite effective, as shown by the increase in student learning outcomes through N-Gain scores of 67.5% (limited test, category of quite effective) and 61.5% (field test, category of quite effective).

COMPARING ILBIL, IBL, AND CONVENTIONAL MODELS: SELF-REGULATED LEARNING IN MATHEMATICS ACHIEVEMENT Vera Dewi Susanti; Swasti Maharani; Tri Andari; Rika Wulandari
Prima Magistra: Jurnal Ilmiah Kependidikan Vol. 7 No. 1 (2026): Volume 7 Number 1 (January 2026)
Publisher : Program Studi PGSD Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/jpm.v7i1.6728

Teaching models currently play a crucial role in enhancing educational quality and improving student learning outcomes. The purpose of this study was to compare the effectiveness of three learning models—ILBIL (Inquiry Learning Based on Information Literacy), IBL (Inquiry-Based Learning), and conventional learning — on students’ mathematics learning outcomes in the topic of three-dimensional geometry. A quantitative approach was applied using a posttest control group design. The study population consisted of 143 students, and a cluster-random sampling technique was used to select 89 students from three classes. Data were collected through observations, questionnaires, and tests. The data were analyzed using analysis of variance (ANOVA) with a 5% significance level, as performed in SPSS 25.00 for Windows. The results revealed: (1) a significance value of 0.000, which is less than 0.05, indicating that the ILBIL model was more effective than both the IBL and conventional models in terms of students’ learning outcomes; (2) a significance value of 0.196, which is greater than 0.05, suggesting that self-regulated learning did not significantly affect students’ learning outcomes; and (3) a significance value of 0.306, which is greater than 0.05, showing that the interaction between self-regulated learning and the learning model did not significantly influence students’ learning outcomes.

Learn and Play Activities to Support Early Childhood Teacher’s Understanding of Electrical Energy Concepts Ihtiari Prastyaningrum; Alisa Alfina; Swasti Maharani
Jurnal Pendidikan Terapan Vol 4, No 2 May (2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v4i2.935

Purpose – This study aims to explore and strengthen early childhood education (ECE) teachers’ understanding of fundamental electrical energy concepts, including sources of electrical energy, energy conversion, and simple electrical circuits. It also seeks to equip teachers with the ability to design Learn and Play–based science activities that are concrete, exploratory, and grounded in children’s daily experiences. Methods – The research employed a mixed-methods approach, combining quantitative testing and qualitative phenomenological analysis. The study involved 20 ECE teachers from six institutions in Madiun City and Madiun Regency. The intervention was carried out across three phases: basic training, mentoring on theoretical and practical concepts, and pedagogical assistance. Data were obtained through pre-tests, post-tests, observation, learning plan assessments, and in-depth interviews. Findings – Results revealed significant improvements in teachers’ conceptual understanding and pedagogical readiness. Teachers demonstrated enhanced literacy regarding electrical energy, increased confidence in explaining basic scientific concepts, and improved skills in designing interactive Learn and Play activities. The mentoring phases also showed that teachers could connect personal experiences with scientific explanations, leading to more meaningful learning preparations and effective classroom implementation. Research implications – Strengthening teachers’ scientific literacy through structured mentoring can reduce misconceptions in early childhood science learning. The model used in this study may serve as a reference for ECE professional development programs focusing on science education. Originality – This study offers a unique integration of Learn and Play activities with phenomenological exploration of teachers’ personal experiences related to electrical phenomena. It fills the research gap on electrical concept literacy among early childhood teachers, a topic rarely examined in previous studies.

Predicting Student Academic Success Using Machine Learning Models: A Learning Analytics Approach in Higher Education Arief Hidayat; Swasti Maharani; Dendi Pratama; Ramadiani Ramadiani; S Sujito; Addy Septyawan; Dian Wardiana Sjuchro
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4881

Rapid deployment of digital learning technologies in the higher education sector has created immense amounts of educational data that could be leveraged to enhance student success and institutional effectiveness. Nevertheless, student dropout, poor academic performance, and lack of retention continue to plague universities across the world. In most cases, identification of academically struggling students is often late since existing models are largely reactive. Therefore, there is need for development of advanced learning analytics models that are able to forecast student performance in higher education institutions. The current study seeks to create an artificial neural network (ANN)-based learning analytics framework to predict student success in higher education institutions. A predictive analytical approach based on quantitatively evaluating a sample of 1,000 undergraduate students was used in the current study. Various attributes used to evaluate the students included demographic information, academic performance, LMS activity, and learning behaviors. Learning analytics indicators used in the model included previous GPA, attendance rate, assignment completion rate, quiz scores, logins per week, learning hours per week, discussion engagement, engagement index, interaction scores, and learning consistency. In the analysis, the model was validated and tested against accuracy, precision, recall, F1-score, ROC-AUC, confusion matrix, and cross validation tests. Results showed that accuracy, precision, recall, F1-Score, and ROC-AUC of the ANN model were 92.8%, 91.4%, 93.7%, 92.5%, and 0.96, respectively. Based on these outcomes, previous GPA, attendance rate, assignment completion rate, and various engagement indicators were found to be the strongest predictors of student success in college. On the theoretical front, contributions of this study include AI-assisted student performance and behavior prediction. Practically, a sophisticated warning system was developed in this study to assist in effective academic advisement and planning for student retention and academic improvement strategies.

A Computational Thinking Learning Trajectory for Primary Mathematics through Renewable Energy Optimization Projects Swasti Maharani; Irna Tri Yuniahastuti; Vera Dewi Susanti; Ihtiari Prastyaningrum; Addy Septyawan
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 3 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku5023

Despite the increasing emphasis on Computational Thinking (CT) in primary education, limited research has examined how CT can be systematically developed through mathematics learning trajectories situated in authentic sustainability contexts. This study aimed to design and validated a Computational Thinking Learning Trajectory (CTLT) that integrates four CT practices—Data Practices, Modeling and Simulation, Computational Problem-Solving, and Systems Thinking—through renewable energy optimization projects in primary mathematics classrooms. Using a design research approach, the study was conducted in three phases: preliminary design, teaching experiment, and retrospective analysis. Participants were 30 fourth-grade students (aged 9–10 years) from an primary school in Madiun, Indonesia. Quantitative and qualitative data were collected through observations, interviews, student artifacts, and assessment rubrics to investigate the emergence of CT practices during learning activities. The results, derived from rubric attainment scores and supported by qualitative evidence, showed that all CT practices emerged during learning activities, with Modeling and Simulation (93.3%), Computational Problem-Solving (83.3%), Data Practices (80%), and Systems Thinking (70%) demonstrating substantial levels of attainment. Students demonstrated a progression from arithmetic reasoning toward algorithmic and systems-oriented thinking as they analyzed data, constructed models, evaluated alternative renewable energy solutions, and optimized decision-making processes. The validated learning trajectory provides empirical evidence of how sustainability-based mathematical projects can support the development of CT in primary education. These findings contribute to the growing body of research on CT integration in mathematics curricula and offer practical guidance for implementing project-based learning within the Indonesian Merdeka Curriculum.

Exploring Grade XI Students’ Pattern Recognition in Solving Complex Number Exponentiation Problems: A Qualitative Study Sanusi Sanusi; Swasti Maharani
Jurnal Pendidikan Terapan Vol 4, No 3 July (2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v4i3.1136

Purpose – This study aims to explain students' ability to recognize patterns (pattern recognition) when solving complex number exponentiation problems, especially in shapes with great rank. The focus of the research is directed at how students identify cyclic patterns and use those structures to simplify calculations. Methods – This study employed a descriptive qualitative approach involving three Grade XI students selected through purposive sampling. Data were collected through problem-solving tests, students’ written work documentation, controlled think-aloud protocols, and semi-structured interviews. The data were analyzed using interactive qualitative analysis consisting of data reduction, data display, and conclusion drawing to identify students’ pattern recognition processes in solving complex number exponentiation problems. Findings – The findings revealed that all participants successfully recognized the cyclic power pattern of the imaginary unit , namely and , which repeats every four powers. Students used this cyclic structure together with modulo 4 reasoning to simplify high-order exponentiation problems, such as determining the value of and simplifying expressions involving . Although the participants employed different solution strategies, all were able to identify the same underlying mathematical structure and arrive at correct solutions. These results indicate that pattern recognition plays a central role in supporting students’ mathematical reasoning and efficient problem-solving in complex number exponentiation. Research implications – These findings indicate that learning mathematics in complex number materials needs to emphasize the development of pattern recognition skills so that students can more easily understand abstract concepts and reduce computational burden. Originality – This research makes a new contribution by highlighting specifically how complex number cyclic patterns are used by students to solve large ranks, as well as mapping the variation of strategies that arise in the mathematical reasoning process.

Co-Authors Abdur Rahman As’ari Addy Septyawan Addy Septyawan Adriyanto Moha Agung Nasrulloh Saputro, Agung Nasrulloh Ahmad Zul Fakar Ahmad Zul Fakar Alfi Nur Hani'ah Alifah, Septa Devi Auliatul Alisa Alfina Alisa Alfina Andayani, Tutik Sulistyo Anis Umi Khoirotunnisa Anissa Teguh Saputri Annisa Nurhidayati Mu'arif Annisa Swastika Apriliana, Laila Ardhi Sanwidi Ardhya Pramesthi Regita Iriandre Ardiana, Ardiana Arief Hidayat Asnawi, Noordin Astri Damayanti Astuti, Indra Puji Atmojo, Alief Arida Dhimas Aulia Rahma Ayu Apriliya Cinthyadewi Ayu Rohana, Diah Azizah, Amalina Nur Azzahra, Sonya Isrofia Baretta, Patrick Aprillia Beny Dwi Pratama Chika Yuliana Dadan Dasari Darmadi Darmadi Dendi Pratama Dewanta Arya Nugraha Dian Wardiana Sjuchro Dwi Muklisum Dwi Muklisum Dwi Rohman Soleh, Dwi Rohman Dwi Ulfa Nurdahlia Edi Sudarto Edi Sudarto Edi Sudarto Edy Suprapto Edy Suprapto Elmawati, Elmawati Elvi Daniel Bautista, Gatiet Evi Muafiah Fadli Agus Triansyah Farida Nurhasanah Fatriya Adamura Fatriya Adamura Fatriya Adamura Febrina Ridha Amalia Fida Rahmantika Hadi Fidya Nurhuda Sukma Tama Firdaus, Tiara Citra Maharani Fitriana Fitriana Fitriana Fitriana Franky Alfrits Oroh Haidar Ali Asnawi Hamidah . Hani'ah, Alfi Nur Hanida, Rifa Arma Hartini, Suliyawati Hasbullah, Khuznul Ma'rifah Hendrisa Rizqie Romandoni Hendrisa Rizqie Romandoni Hendrisa Rizqie Romandoni Husnul Khotimah Ica Endang Lestari Ihtiari Prastyaningrum Ihtiari Prastyaningrum, Ihtiari Ika Krisdiana Ilham Muhammad Ilham Muhammad Indah Ika Ratnawati Indah Ika Ratnawati Indah Ika Ratnawati Indriyana Dwi Mustikarini, Indriyana Dwi Irna Tri Yuniahastuti Ismail Djakaria Jaka Wijaya Kusuma Kartin Usman Kurnia Sekarsari Laila Apriliana Laila Apriliana Laila, Dina Jamil Lilis Asriani Putri Lilis Asriani Putri Lingga Nico Pradana Luwes Handayani Luwes Handayani Luwes Handayani Majid Majid Majid, Andhira Nurkholisha Majid, Majid Maryatin Maryatin, Maryatin Masruroh, Viki Megawati, Putri Ayu Meinanda Putri Zalsabella Mufidah Mufidah Mufidah Mufidah Mufidah Mufidah Muhammad Noor Kholid Muhammad Yusuf Afifullah Muji Rahmawati, Milenia Muklisum, Dwi Mutiara Suci Rahmadhani Mutiara Suci Rahmadhani Nadhif Muhammad Mumtaz Nasrulloh, Agung Nopitasari, Dian Novitasari, Riski Noviyanti Kartika Dewi Nur Fajri Irfan Nuraisa, Diah Perry Zakaria Pertiwi, Hernin Diah Permata Prastya, Dharma Dwi Putri Ayu Megawati Putri Ayu Megawati Putri Hana Pebriana Putri Nur Azizah Putri Sindy Wibisono Putri, Lilis Asriani Qohar, Abd. Rahmadhani, Mutiara Suci Rahmasiwi, Dwinda Susi Rahmi Hidayati Rahmi Moh. Amin Ramadiani - Rasto Rasto Rifa Arma Hanida Rika Wulandari Riski Novitasari Riski Novitasari Romandoni, Hendrisa Rizqie S Sujito Safitri, Syntia Rizki Nur Sanusi Sanusi Sanusi Sanusi Sanusi Sardulo Gembong Septa Devi Auliatul Alifah Septyawan, Addy Setyansah, Reza Kusuma Siahaan, Erika Yohanna Seventina Silvia Yula Wardani Sofia Nur Afifah Sri Sunarni Suharni Suharni Sunarni, Sri Syafrudin Katili Syahri Alqurni Syntia Rizki Nur Safitri Syntia Rizki Nur Safitri Tama, Fidya Nurhuda Sukma Tiara Citra Maharani Firdaus Tiara Citra Maharani Firdaus Titin Masfingatin Toto Nusantara Tri Andari Tri Andari Tri Andari Tri Anisya Putri Tri Hariyati Nur Indah Sari Tulus Nindi Agustin Turmudi Tutik Sulistyo Andayani Umi Kholifah Vera Dewi Susanti Vera Dewi Susanti Vera Dewi Susanti Vera Dewi Susanti Verry Larofa Husada Viona Adinda Rosalina Wachidatul Linda Yuhanna Wasilatul Murtafiah Widia Yunita Widia Yunita Widia Yunita Widia Yunita, Widia Winda Putri Novyani Wulansari, Ika Yaya S. Kusumah Yehas Affan Kirana Yohannes Eko Prasetyo Yuni Nurhayati Zeni Fadlila Agustina

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