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Hamdi Akhsan

Department Of Physics Education Faculty Of Teaching And Education, Sriwijaya University, Indralaya, 30139, Indonesia

Author-ID : 600847

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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 Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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PENGARUH DURASI DAN WAKTU BELAJAR DI RUMAH TERHADAP HASIL BELAJAR IPA SISWA SMP DAN MTS DI PULAU RIMAU, KABUPATEN BANYUASIN TAHUN AJARAN 2024/2025 Hamdi Akhsan; Eka Sutinah; Kistiono Kistiono
Physics and Science Education Journal (PSEJ) Physics and Science Education Journal (PSEJ), Volume 5 Number 2, August 2025
Publisher : Physics Education Departement, Islamic State University Sulthan Thaha Saifuddin Jambi - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/rga37y22

Studying at home plays an important role in improving student achievement, especially in science subjects that are both conceptual and challenging. This study aimed to examine the effect of the duration and time of study at home on students' science learning outcomes. The approach used was quantitative, with a survey and documentation design. The population included all junior and senior high school students in Pulau Rimau in the 2024/2025 school years. A sample of 170 students was selected using Proportional Stratified Sampling. An analysis was conducted to determine the effects of each variable on learning outcomes. The analysis showed that the study duration had a significant effect on learning outcomes (p<0.05). Tukey's HSD further test showed that students who studied less than one hour per day had significantly lower learning outcomes than students who studied 1-2 hours or more than 2 hours. In contrast, the study time showed no significant effect (p>0.05). This finding suggests that the allocation of at least one hour of study time per day contributes positively to science-learning outcomes. Collaboration between parents and teachers so that the duration of study at home is optimal for science achievement.

PENGEMBANGAN INSTRUMEN TES KPS STEM INKLUSIF BERBASIS SDGS UNTUK SISWA SLOW LEARNER Putri Anggelina; Kistiono Kistiono; Hamdi Akhsan; Kiki Ayu Winarni
OPTIKA: Jurnal Pendidikan Fisika Vol. 9 No. 2 (2025): OPTIKA: Jurnal Pendidikan Fisika
Publisher : Department of Physics Education, Faculty of Teacher Training and Education, Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/optika.v9i2.7090

Penelitian ini bertujuan mengembangkan instrumen tes Keterampilan Proses Sains (KPS) STEM inklusif berbasis SDGs, khususnya SDGs 4 (pendidikan berkualitas), pada materi unsur, senyawa, dan campuran bagi siswa slow learner SMP. Penelitian menggunakan metode Research and Development (R&D) dengan model 4D (Define, Design, Develop, Disseminate). Tahap pendefinisian dilakukan untuk mengidentifikasi karakteristik siswa slow learner dan kebutuhan asesmen KPS. Tahap desain meliputi penyusunan kisi-kisi, butir soal pilihan ganda dan isian singkat, serta rubrik non-tes yang dikontekstualisasikan dengan aktivitas STEM dan isu SDGs. Tahap pengembangan meliputi validasi isi, konstruk, dan inklusivitas oleh ahli, revisi, serta uji coba instrumen pada siswa kelas VIII. Tahap disseminate dilakukan secara terbatas kepada guru IPA. Analisis data meliputi indeks Aiken's V, korelasi item–total Pearson, koefisien Alpha Cronbach, serta tingkat kesukaran dan daya pembeda. Hasil penelitian menunjukkan bahwa seluruh butir valid, reliabel, dan memiliki karakteristik psikometrik yang baik sehingga layak digunakan untuk mengukur KPS siswa slow learner. Instrumen ini diharapkan menjadi asesmen alternatif yang adaptif, kontekstual, dan inklusif bagi guru IPA dalam pemetaan kemampuan KPS siswa slow learner secara lebih objektif.

PENGEMBANGAN MODUL AJAR FISIKA BERBASIS PROBLEM BASED LEARNING (PBL) UNTUK MELATIH KETERAMPILAN BERPIKIR KREATIF SISWA PADA TOPIK ENERGI TERBARUKAN Hamdi Akhsan; Muhammad Aditiyah; Kistiono
Jurnal Riset dan Inovasi Pendidikan Sains (JRIPS) Vol. 5 No. 1 (2026): Januari
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jrips.v5i1.9484

Penelitian ini bertujuan untuk menguji validitas sebuah modul yang dikembangkan berdasarkan model Problem Based Learning (PBL) dalam upaya meningkatkan keterampilan berpikir kreatif siswa pada materi energi terbarukan. Metode yang digunakan adalah Research and Development (R&D) dengan model pengembangan ADDIE, yang mencakup tahapan Analyze, Design, dan Development. Validitas produk dinilai oleh tiga orang validator ahli dari bidang pendidikan fisika. Penilaian mencakup dua aspek utama, yaitu validitas isi (kesesuaian materi, relevansi fenomena kontekstual, dan potensi pengembangan berpikir kreatif) serta validitas konstruk (struktur penyajian, kejelasan petunjuk, penggunaan bahasa, dan kualitas visual). Hasil validasi menunjukkan persentase rata-rata sebesar 94,44% untuk validitas isi dan 91,67% untuk validitas konstruk, dengan rata-rata keseluruhan 93,05%. Berdasarkan kriteria interpretasi skor menurut Sudijono (2015), nilai tersebut termasuk dalam kategori sangat valid. Dengan demikian, modul ajar fisika berbasis PBL ini layak digunakan sebagai bahan ajar dalam pembelajaran fisika, khususnya untuk mengasah keterampilan berpikir kreatif siswa melalui isu-isu aktual seputar energi terbarukan. Penelitian ini juga menawarkan inovasi dalam bentuk bahan ajar kontekstual yang relevan dengan tantangan lokal maupun global. Kata kunci: Modul ajar, Problem Based Learning, berpikir kreatif, validitas, energi terbarukan

Application of Gauss's Law in High Energy Capacitor Design for Electric Vehicles: A Systematic Literature Review Melly Junita; Hamdi Akhsan; Fitri Nisa
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 23, No 2 (2026): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v23i2.24564

This article uses a PRISMA flowchart-based Systematic Literature Review (SLR) approach to analyze the role of Gauss's Law in the design of high-energy dielectric capacitors for electric vehicles. Through a synthesis of 17 recent studies (2019–2025), this article identifies three main themes: (1) the application of Gauss's Law in electric field distribution analysis, (2) optimization of dielectric geometry and materials, and (3) the potential application of high-energy capacitors in electric vehicle power systems, especially as high-power components in inverters and regenerative braking. The results show that understanding the field distribution based on Gauss's Law is key to improving the energy density (>18 J/cm³) and operational reliability of capacitors. This study confirms that Gauss's Law is not only a theoretical principle, but a practical engineering foundation for sustainable energy storage technologies.

A Analysis of Learners' Needs for Energy Literacy as a Reference for E-Module Development at Waterfall Edupark Fitria Siska Damayanti; Hamdi Akhsan; Muhamad Yusup; Nor Farahwahidah Abdul Rahman
Indonesian Journal of Education Research (IJoER) Vol. 5 No. 6 (2024): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijoer.v5i6.1261

Purpose of the study: This research aims to analyze the needs of students in learning physics related to energy literacy by utilizing the potential of waterfalls as a reference for developing e-modules in Edupark. Methodology: The methodology of this study is survey- quantitative descriptive research. Data collection through questionnaires given to respondents using google form. The research location is at Senior High School 1 Prabumulih, Senior High School 04 Ogan Komering Ulu, Senior High School 1 Merapi Timur, Senior High School 6 Prabumulih, Senior High School 1 Makarti Jaya, Senior High School 1 Bayung Lencir, Senior High School 10 Palembang, Senior High School 2 Palembang, Senior High School 1 Unggulan Muara Enim. Main Findings: The findings of this study tentang Do you think physics is a difficult subject to learn percentage 64%, Have you ever visited a waterfall before percentage 50,1%, Have you ever been taught energy related concepts on waterfalls percentage 31,5%, Have you ever been taught using E-Modules related to waterfall eduparks percentage 51%, Have you ever heard of hydropower before percentage 87,1%, Do you agree that hydropower can provide more stable energy than other renewable energy sources percentage 89,1%. Novelty/Originality of this study: The novelty of this study lies in the e-module associated with the waterfall edupark towards students' energy literacy. The findings can provide new insights in the context of education and researchers to develop appropriate innovations to improve e-modules.

Machine Learning to Predict Climate Change in Coastal Areas of Indonesia Huriyatul Firdausi; Melly Ariska; Sardianto Marcos Siahaan; Hamdi Akhsan; Yenny Anwar; Iin Seprina; Taufiq Taufiq
BULETIN FISIKA Vol. 27 No. 1 (2026): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2026.v27.i01.p05

Indonesia's coastal regions face significant threats from climate change, including rainfall uncertainty, rising temperatures, and sea level rise. This study aims to explore the potential of machine learning algorithms in predicting climate parameter changes in the coastal areas of Minangkabau, Pesawaran, and Maritim Panjang. Daily climatological data obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) were used as the basis for model training. Three primary algorithms were tested Random Forest, XGBoost, and Long Short-Term Memory (LSTM) selected for their capability to handle complex and temporal data. The research methodology included data preprocessing, model training, cross-validation, and predictive performance evaluation using metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the coefficient of determination (R²). Preliminary results show that LSTM excels in time series prediction, while XGBoost offers a good balance between speed and accuracy. These findings indicate that machine learning-based approaches have strong potential as decision-support tools for climate change mitigation and adaptation planning in Indonesia’s coastal regions.

Applications of holonomic and non-holonomic constraints in modern technological innovations: systematic review Melinda Maharani; Selvia Mariska Syahputri; Eka Sutinah; Hamdi Akhsan; Ismet Ismet
Journal of Physics: Theories and Applications Vol 9, No 1 (2025): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v9i1.102155

Kendala holonomik dan nonholonomik merupakan aspek penting mekanika geometri yang banyak diaplikasikan dalam teknologi modern seperti navigasi, robotika, dan kendaraan otonom. Penelitian ini bertujuan untuk menjawab dua pertanyaan utama: (1) Bagaimana kendala holonomik dan nonholonomik didistribusikan dalam bidang teknologi modern? dan (2) Bagaimana kendala ini berkontribusi pada efisiensi dan kinerja sistem? Metode yang digunakan adalah Tinjauan Literatur Sistematis (SLR) yang mengikuti pedoman PRISMA 2020. Literatur dikumpulkan menggunakan perangkat lunak Publish or Perish dari basis data Scopus, ScienceDirect, dan Google Scholar, dengan kata kunci tertentu. Dari 165 artikel yang awalnya ditemukan, 32 artikel dipilih untuk analisis akhir setelah penyaringan, penghapusan duplikat, dan evaluasi kualitas dan pengindeksan. Hasil analisis menunjukkan penerapan kendala nonholonomik yang dominan dalam sistem dinamis seperti robot penggerak diferensial dan kendaraan otonom karena kemampuannya untuk meningkatkan fleksibilitas dan kemampuan beradaptasi. Sebaliknya, kendala holonomik lebih umum digunakan dalam sistem presisi tinggi seperti robot omnidirectional. Implikasi dari penelitian ini menekankan pentingnya memilih jenis kendala yang tepat untuk mengoptimalkan kinerja teknologi berbasis mekanika geometri.

Integration of Paired Sample T-Test and Cohen's d in the Evaluation of a Palembang Ethnoscience-Based Physics Module Nurkholisa Fajriah; Hamdi Akhsan; Sardianto Markos Siahaan
Jurnal Pendidikan Fisika Vol. 14 No. 1 (2026)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jpf.v14i1.15860

This study aimed to analyze the effectiveness of a Palembang ethnoscience-based physics module on student learning outcomes in potential and kinetic energy materials using a methodologically rigorous approach. Employing a quasi-experimental design with a one-group pretest-posttest pattern, the study involved 37 grade X students from SMAN 22 Palembang. Data were collected through learning achievement tests and analyzed using SPSS version 26, incorporating Shapiro-Wilk normality tests, Paired Sample T-Tests, Normalized Gain (N-Gain), Power Analysis, and outlier examinations. The results indicated mean pre-test scores of 61.22 (SD = 13.41) and post-test scores of 82.97 (SD = 9.96). The Paired Sample T-Test yielded a t-value of -11.217 with a significance of 0.000 (p < 0.05), indicating a significant difference and a strong association between module implementation and learning outcome improvements. The N-Gain value of 0.56 was categorized as medium, while the Effect Size (Cohen's d) of 1.84 demonstrated a very large impact, although this requires careful interpretation due to the within-subject design. Cohen's d<sub>z</sub>, calculated based on the standard deviation of difference scores, also produced a value of 1.84, confirming the consistency of the effect estimation. The study concludes that the Palembang ethnoscience-based physics module is positively associated with enhancing student learning outcomes. Integrating local wisdom bridges abstract concepts with students' real-life contexts, thereby rendering learning more meaningful.Â

Pemanfaatan LiDAR dalam Pemantauan Perubahan Tutupan Lahan untuk Mitigasi Perubahan Iklim: Tinjauan Literatur Sistematis Resta Ulis Muslimah; Nia Three Manurung; Fernando Eric Redondo; Hamdi Akhsan; Melly Ariska
Magnetic: Research Journal of Physics and It’s Application Vol. 5 No. 2 (2025): Magnetic: Research Journal of Physics and It’s Application
Publisher : Program Studi Fisika - Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/magnetic.v5i2.517

Perubahan tutupan lahan merupakan faktor penting dalam studi perubahan iklim global, terutama dipicu oleh aktivitas antropogenik. Dalam dua dekade terakhir, teknologi Light Detection and Ranging (LiDAR) telah berkembang sebagai alat efektif untuk pemantauan spasial perubahan tutupan lahan dengan akurasi tinggi. Penelitian ini bertujuan memberikan tinjauan sistematis mengenai pemanfaatan teknologi laser pada LiDAR dalam konteks pemantauan perubahan tutupan lahan yang relevan dengan studi perubahan iklim. Pendekatan Systematic Literature Review (SLR) digunakan untuk mengidentifikasi tren penelitian, metode yang digunakan, serta kontribusi LiDAR dalam estimasi parameter lingkungan seperti biomassa, stok karbon, dan model elevasi digital. Tinjauan ini mencakup publikasi dari tahun 2015 hingga 2024. Hasil menunjukkan bahwa LiDAR memiliki keunggulan dalam penetrasi kanopi vegetasi dan estimasi biomassa dengan akurasi tinggi (90–95%). Selain itu, integrasi LiDAR dengan data multispektral dan kecerdasan buatan (AI) memperluas kemampuannya dalam pemantauan lingkungan. Temuan ini diperoleh dari analisis literatur yang mencakup berbagai konteks aplikasi, seperti program REDD+, mitigasi bencana, dan validasi laporan emisi karbon nasional, terutama di wilayah tropis seperti Amazon dan Kalimantan. Dengan demikian, LiDAR merupakan teknologi utama dalam pengamatan bumi yang memadukan dimensi spasial dan temporal, sehingga mampu memberikan data yang presisi dan kontinu untuk mendukung kajian perubahan iklim, dinamika tutupan lahan, dan isu-isu lingkungan lainnya secara berkelanjutan.

Attempt to Train Computational Thinking Skills Among Students of SMP Negeri 5 Indralaya Utara, Tanjung Baru Village: Introduction and Training on the Using of Basic Coding Through the Pictoblox 4.0 Application Evelina Astra Patriot; Hamdi Akhsan; Ketang Wiyono; Saparini; Maghfira Aulia; Nor Farahwahidah Abdul Rahman; Noor Dayana Abd Halim; Nia Three Manurung; Isma Sari; Putri Wijayanti; Dendi Juliansyah; Tina Oktasari
Unram Journal of Community Service Vol. 6 No. 4 (2025): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1272

Current technological developments require the education sector to engage in continuous innovation to advance the quality of future generations. Coding and artificial intelligence are forms of innovation that can be integrated into learning activities. To equip students with these skills, this community service program aims to introduce and train students in the use of simple block coding through the use of 4.0 applications. The training and community service activities were carried out over a period of 3 months with a target of 25 junior high school students in Tanjung Baru Village. The training was carried out through a series of activities, namely (a) conducting a preliminary test; (2) delivering material on the use of block coding for learning, the use of the Pictoblox 4.0 application, and the creation of simple games and chatbots; and (3) conducting a final test. The N-gain percentage result was 89.5%. This percentage is high, indicating that there is a significant effect on improving students' computational thinking skills. The implementation of this activity had a positive impact on the training participants. This is demonstrated by the evaluation results, which indicate that this community service activity will continue with other innovative activities. The implication of this community service activity is to provide innovative coding and artificial intelligence learning activities that are integrated into the curriculum.

Co-Authors Abidin Pasaribu Abidin Pasaribu Abidin Pasaribu, Abidin Adam Darmawan Ade Kurniawan Ade Kurniawan Agung Mataram Agung Sugiarto Agustina, Atika Ahmad Fauzi Ismail Ahmad Fudholi Aisyah Veronika Aji, Dwi Purnomo Aldi Prayoga Aljuzza, Muhammad Ikhsan Almafie, Muhammad Rama Amalia, Wardah Amanda Kurnia Utami Amanda Rahmannisa Andriani, Nelly Anggelina, Putri Anggelina, Zanne Anisa Qoriq Atun Nasiroh Apit Fathurohman Apit Fathurohman Arini Rosa Sinensis Atika Agustina Ayu Sekar Sari Azizah Putri Berimah Berimah, Azizah Putri Cahyani, Delvina Putri Cahyati, Nilam Damayanti, Fitria Siska Dani, Rahma Dea Amalia Dea Rizky Oktavia Dendi Juliansyah Deni Sadly Desilawati Detrika Mawar Arrum Devi Ardiantini Devi Ardiantini Dia Oktarina Gumanti Dwi Purnomo Aji Dwi Purnomo Aji Dwicahyani, Rania Dwita Kartika Sari Edo Anugrah Edray, Auliya Einsrizkianne Effendi Effendi Eka Sutinah Eka Sutinah Elsie Sulastry Erazando Alfa Seira Ermalia, Widia Evelina Astra Patriot Fahreza, Muhammad Aditya Fajriah, Nurkholisa Fatmawati, Fatmawati Fatonah, Amelia Febrianti, Tanti Fena Siska Putriyani Fernando Eric Redondo Fika Nurul Hidayati Fina Maliya Fitri Nisa Fitria Siska Damayanti Fitria Siska damayanti Fitriyani Fitriyani Guruh Sukarno Putra Hayati, Suci Husnul Huriyatul Firdausi I. Ismet Ida Sriyanti Iful Amri Iin Seprina Ina Agustina Intan Mahdiah Intan Purnama Sari Irenta Irenta Ishkaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Isma Sari Ismet Ismet Ismet Ismet Ismet, Ismet Ismet, I. Izzah Nurhidayah, Izzah Jamiatul Khairunnisa Putri Jesi Pebralia Juwita Febrianti Kartika, Nadia Dwi Kayla Azzakia Ketang Wiyono Ketang Wiyono Ketang Wiyono Ketang Wiyono Kheisya Nadiva Az-Zahra KHOIRUN NISA Kiki Ayu Winarni Kistiono Kistiono Kistiono Kistiono Kistiono Kistiono Kistiono Kistiono Komarudin Komarudin Kurnia, Mega Lamura, M. Danny Pratama Lara Sania Laras Sapitri, Cindy Leni Marlina Leni Marlina Leni Marlina Lestari, Mutiah Lestari, Yora Inda Lira Diska Wati Lira Lira Lira, Lira Lismayana, Pegi Putri M. Nicola Prajaska Maghfira Aulia Mahdiah, Intan Mahmudah, Indri Markos Siahaan, Sardianto Masduki Masduki Mega Kurnia Mega Kurnia Meilanie, Trista Meliani Devina Melinda Maharani Melly Ariska Melly Ariska Melly Junita Melvany, Nanda Eva Miftahul Jannah Mindia Vanessa Pratiwi, Sri Muhamad Yusup Muhamad Yusup Muhamad Yusup Muhammad Aditiyah Muhammad Afrizal Muhammad afrizal Muhammad Aufa Riyaldo Muhammad Irfan Muhammad Irfan Muhammad Irfan Muhammad Irfan Muhammad Irfan Muhammad Muslim muhammad muslim Muhammad Muslim Muhammad Muslim, Muhammad Muhammad Romadoni Muhammad Romadoni Muhammad Yusuf Muhammad Yusup Murnia Murniati Murniati . Mutia Faradini Ramadhanty Mutiah Lestari Mutiara Putri Nadiah Alfania Nadiar Pertiwi Nadya Anggraini Nadya Anggraini Nasiroh, Anisa Qoriq Atun Nazhifah, Rizqia Nely Andriani Nely andriani Nely Andriani, Nely Nestity, Alifia Nia Nopeliza, Nia Nia Three Manurung Nia Three Manurung Nia Three Manurung Nilam Cahyati Nita Arrum Sari Noor Dayana Abd Halim Nor Farahwahidah Abdul Rahman Nor Farahwahidah Abdul Rahman Nora Herliza Noviana, RA Sania Nur Kayla Lekati Nurkholisa Fajriah Pertiwi, Nadiar Pratiwi Ineke Anwar Putra, Gede Mudita Edi Putra, Guruh Sukarno Putri Anggelina Putri Maulida, Nabila Putri Nurhikmah Putri Wijayanti Putri, Arselly Rahmanda Putri, Jamiatul Khairunnisa Putri, Mutiara Juliana Putriyani, Fena Siska Qathrunnada, Sausan Rahma Hafitri Rahman, Nor Farahwahidah Abdul Rahmannisa, Amanda Ramadhani, Neysya Ditha Ramadhona, Tyse Rara Rara Resta Ulis Muslimah Ribkoh, Ribkoh Risa Albeta Rita Inderawati Rizki Novianti, Rizki Romadoni, Muhammad Rosada, Mita Rosdiana Salmah Rianti Salmah Rianti Salsa bila Salsabila Endana Putri Salsabillah, Zahwa Nur Saparini Saparini Sardianto Markos Siahaan Sardianto Markos Siahaan Sardianto Markos Siahaan Sardianto Markos Siahaan, Sardianto Markos Sari, Dwita Kartika Sari, Mona Sekarani, Tresnane Suandti Selvia Mariska Syahputri Seprina, Iin Sherry Junira Sagita Sholeha, Nurlita Dwi Siti Kurdiah Siti Nur Azizah Sopia Sopia Sri Mindia Vanessa Pratiwi Sri Zakiyah Sudirman Sudirman Sudirman Sudirman Suhadi Suhadi Suhadi Suhadi Suhadi Sunarti, Arinda Rahma Supardi Supardi Supardi Supari Supari Supari Supari Supari Supari Supari, Supari Sutanto, Taufiq Syahputri, Selvia Mariska Syahrani, Revanola Gusti Syuhendri, Syuhendri Tamara Shelvy Maharani Tanti Febrianti Taufiq Sutanto Taufiq Taufiq Taufiq Taufiq Tina Oktasari Tine Aprianti Tita Ratna Wulan Dari Tresnane Suandti Sekarani Trista Meilanie Tsabita Husna Tyse Ramadhona Utami, Amanda Kurnia Vania, Amanda Asti VIOLANTI ANARKY, VIOLANTI Wahyuningsi, Wahyuningsi Wailaina Wardah Amalia Wati, Lira Diska Winarni, Kiki Ayu Yendri Tri Hartati Napitupulu Yenny Anwar Yesi Monalika Yuli Setianingsih Yuliana, Rahma Zahlia, Marsela Zahra Ayanna Firmansyah Zahrani, Ami Zulherman Zulherman Zulherman Zulherman, Zulherman

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