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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Pendidikan Matematika dan IPA Jurnal Infinity Kreano, Jurnal Matematika Kreatif-Inovatif EurekaMatika (Jurnal Online Matematika S1) Jurnal Riset Pendidikan Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika JIPM (Jurnal Ilmiah Pendidikan Matematika) Jurnal Elemen Jurnal Fourier EDU-MAT: Jurnal Pendidikan Matematika Edumatsains Jurnal Gantang Jurnal Ilmiah KOMPUTASI Al-Jabar : Jurnal Pendidikan Matematika JURNAL IQRA´ Jurnal Kajian Pembelajaran Matematika Math Didactic: Jurnal Pendidikan Matematika Al Ishlah Jurnal Pendidikan Union: Jurnal Ilmiah Pendidikan Matematika MaPan : Jurnal Matematika dan Pembelajaran Jurnal Analisa Journal of Mathematics and Mathematics Education (JMME) PRISMA Indonesian Journal of Science and Mathematics Education Juring (Journal for Research in Mathematics Learning) Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL EKSAKTA PENDIDIKAN (JEP) JPMI (Jurnal Pendidikan Matematika Indonesia) AXIOM : Jurnal Pendidikan dan Matematika JURNAL PENDIDIKAN TAMBUSAI Teorema: Teori dan Riset Matematika Jurnal Cendekia : Jurnal Pendidikan Matematika Journal of Education Technology Prima: Jurnal Pendidikan Matematika Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Symmetry: Pasundan Journal of Research in Mathematics Learning and Education SAP (Susunan Artikel Pendidikan) M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika JPMI (Jurnal Pembelajaran Matematika Inovatif) (JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING Jurnal Penelitian Pembelajaran Matematika Sekolah Jurnal Magister Pendidikan Matematika (JUMADIKA) Jurnal Padegogik MATHEMA: JURNAL PENDIDIKAN MATEMATIKA Didaktik : Jurnal Ilmiah PGSD STKIP Subang Range : Jurnal Pendidikan Matematika Journal of Didactic Mathematics Jurnal Kepelatihan Olahraga Jurnal Math-UMB.EDU Mosharafa: Jurnal Pendidikan Matematika Jurnal Pendidikan Matematika Unpatti These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan EduLine: Journal of Education and Learning Innovation Kalam Cendekia: Jurnal Ilmiah Kependidikan Jurnal Eurekamatika Journal of Advanced Sciences and Mathematics Education Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Journal of Mathematics Instruction, Social Research and Opinion Research and Development in Education (RaDEn) Journal of Mathematics Learning Innovation (JMLI) Gunung Djati Conference Series International Journal of Trends in Mathematics Education Research (IJTMER) JNPM (Jurnal Nasional Pendidikan Matematika) International Journal of Mathematics and Mathematics Education (IJMME) Tematik: Jurnal Konten Pendidikan Matematika Sciencestatistics: Journal of Statistics, Probability, and Its Application Journal of Educational Technology and Learning Creativity SIGMA DIDAKTIKA: Jurnal Pendidikan Matematika Jurnal Infinity ALSYSTECH Journal of Education Technology Proceeding International Conference on Mathematics and Learning Research Journal on Mathematics Education Research Jurnal Pendidikan MIPA Jurnal Pendidikan Progresif Journal on Mathematics Education Jurnal Pendidikan Matematika Universitas Lampung Mathema: Jurnal Pendidikan Matematika Sustainable Tunas: Jurnal Pendidikan Guru Sekolah Dasar
Dadan Dasari
Univeritas Pendidikan Indonesia
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Students' Computational Thinking Ability in Calculating an Area Using The Limit of Riemann Sum Approach Junaeti, Enjun; Herman, Tatang; Priatna, Nanang; Dasari, Dadan; Juandi, Dadang
Mosharafa: Jurnal Pendidikan Matematika Vol. 12 No. 2 (2023): April
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v12i2.778

Abstract

Melatih kemampuan berpikir komputasional mahasiswa membuka peluang untuk lebih menguasi konsep, menganalisis permasalahan, dan membangun solusi dunia nyata. Tujuan penelitian adalah menganalisis kemampuan berpikir komputational mahasiswa Pendidikan Ilmu Komputer berupa kemampuan abstraksi, dekomposisi, berpikir algoritmik, dan generalisasi. Metode penelitian yaitu studi kasus dengan pendekatan kualitatif deskriptif. Pembelajaran dilakukan kepada 40 mahasiswa semester 1 (satu) secara kolaboratif dalam penyelesaian masalah luas daerah dengan pendekatan limit. Pada akhir pembelajaran mahasiswa diberikan soal tes kemampuan berpikir komputasional mahasiswa. Jawaban tes setiap mahasiswa dianalisis dari segi sisi fungsi mental yang muncul untuk mengetahui karakteristik akusisi kemampuan penyelesaian masalah. Pada penelitian yang telah dilakukan mahasiswa dikategorikan dalam kelompok novice, advanced beginner, competent, proficient, dan expert berdasarkan karakter penyelesaian masalahnya. Pada umumnya setiap mahasiswa telah memiliki kemampuan berpikir algoritmik. Sebagian besar mahasiswa (kecuali kategori novice) juga telah mampu mengabstraksi dan mendekomposisi permasalahan. Sedangkan kemampuan pengenalan pola baru terlihat pada mahasiswa dengan kategori competent, proficient, dan expert. Training students' computational thinking ability provides opportunities to comprehend concepts, analyse problems, and build solutions in real-life contexts. The purpose of the study was to analyse the computational thinking abilities of Computer Science Education students, i.e., abstraction, decomposition, algorithmic thinking, and generalization abilities. The research method used was a case study with a descriptive qualitative approach. The learning process was conducted by 40 students for semester 1 (one) semester collaboratively in solving area problems using the limit approach. At the end of the lesson, the students were tested through students' computational thinking abilities. Each student's answers were analyzed in terms of the mental functions that emerged to determine the characteristics of the acquisition of problem-solving ability. In this study, the students were categorized into groups of novices, advanced beginner, competent, professional, and expert based on the natures of their problem solving. In general, every student had the ability to think algorithmically. Most students (except the novice category) were able to abstract and unravel the problems. Meanwhile, the ability to recognize new patterns were demonstrated by the students in the competent, professional, and expert categories.
Evaluasi Implementasi Algoritma Machine Learning K-Nearest Neighbors (KNN) Dengan Menggunakan Rapid Miner Pada Data Hasil Belajar Siswa SMP Jufri, Lucky Heriyanti; Dasari, Dadan
Jurnal Gantang Vol 8 No 2 (2023): Jurnal Gantang
Publisher : Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jg.v8i2.6590

Abstract

The focus of the PISA 2022 assessment is on the subjects of Mathematics, Language and Science. Therefore, these subjects are compulsory subjects at every level of education. Because learning activities are the most important activities, the success of a learning activity is measured by the learning outcomes that have reached completeness or failed. Prediction of completeness or failure can be done by classifying data using the K-Nearest Neighbors (KNN) algorithm using the RapidMiner application. The KNN algorithm is one of the classification methods for a set of data based on learning data that has been classified before. The data used are student learning outcomes in Mathematics, Indonesian Language and Science subjects at the junior high school education level in Padang city. This research aims to predict student learning outcomes in Mathematics, Indonesian and Science subjects based on student score completeness by comparing various k values to obtain the best performance of this algorithm. The results obtained after analyzing the KNN algorithm are Classification using the KNN algorithm is most accurate when the value of k = 5 and k = 7. Where by using the value of k, the accuracy of the KNN algorithm reaches the maximum result of 94.12%. Thus, this algorithm can help teachers to predict or find out how appropriate student completeness.
Sentiment analysis of prospective mathematics teacher on reasoning and proof questions using Naïve-Bayes classification Scristia, Scristia; Dasari, Dadan; Herman, Tatang
Jurnal Gantang Vol 8 No 2 (2023): Jurnal Gantang
Publisher : Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jg.v8i2.6591

Abstract

Reasoning and proof is the ability to arrange patterns, make conjectures, test conjectures, and carry out logical proof, which can be seen as negative or positive for students when solving proof problems requiring reasoning skills. Prospective mathematics teachers in the Mathematics Education Study Program of FKIP Universitas Sriwijaya became the subject of this study. As the research instrument, the questionnaire was designed to explore students' opinions and responses to problems with significant logical difficulty. Sentiment analysis was used to analyze the opinions of prospective mathematics teachers on reasoning and proof questions by grouping positive and negative opinions. The technique used in this study uses the Naïve Bayes algorithm. The classification results in this study were 58.2% positive and 41.86.7% negative, with a total of 70 data. The final result achieved an accuracy value of 53.33%, signifying the reliability of the Naïve Bayes algorithm in understanding and classifying the complex spectrum of sentiments expressed by students. The implications of these findings go beyond sentiment analysis, providing valuable insights for educators, curriculum developers, and policymakers in designing learning strategies and educational policies that can improve mathematics students' reasoning and proof abilities.
The impact of high school students’ enthusiasm for game-based learning (GBL) on their enthusiasm for mathematics learning Panjaitan, M. Azhari; Dasari , Dadan
Jurnal Gantang Vol 9 No 2 (2024): Jurnal Gantang
Publisher : Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jg.v9i2.6923

Abstract

The low interest of students in mathematics learning can negatively impact their academic performance. Game-based learning has been implemented to increase students' interest and enthusiasm for studying mathematics. This study aims to analyze the impact of high school students' enthusiasm for game-based learning on their enthusiasm for mathematics learning. The research uses a quantitative method through an online questionnaire distributed to 216 West Sumatra and North Sumatra high school students. Data were analyzed using binary logistic regression to understand the effect of game-based learning on students' enthusiasm for mathematics. The results show that students' enthusiasm for game-based learning through traditional and online games significantly influences their interest in mathematics learning, with a model accuracy rate of 90.7%. Additionally, the game-based learning approach boosts students' interest and facilitates collaboration and critical thinking skills. This study concludes that game-based learning is an effective method for enhancing students' enthusiasm for mathematics, and it is recommended that teachers integrate this approach into high school mathematics curricula.
Exploration of high school students' sentiments and emotions towards mathematics: Linked to learning outcomes Silitonga, R. H. Yanti; Dasari, Dadan; Dahlan , Jarnawi Afgani
Jurnal Gantang Vol 9 No 2 (2024): Jurnal Gantang
Publisher : Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jg.v9i2.6953

Abstract

Mathematics research often focuses only on students' learning outcomes without considering their emotional aspects. This study aims to describe the tendency of students' sentiment toward mathematics in general and partially based on mathematics learning outcome groups, namely high, medium, and low. In addition, a mood analysis was conducted using Ekman's Basic Emotion classification. Data collection techniques are questionnaires and documentation. The questionnaire contains open questions about students' opinions on mathematics and closed to queries for student demographics. Documentation is done by collecting test scores from student grade books. This study used a descriptive method with data in the form of 72 comments from grade XI high school students in Bandung City, which were analyzed using the Orange Application Sentiment Analysis. The results of the study showed that (1) student sentiment was generally dominated by positive sentiment at 72.22%, (2) positive sentiment also dominated the groups of students with high, medium, and low learning outcomes, with a percentage of more than 68%, and (3) the results of the classification of emotions based on Ekman's Basic Emotion indicated that "joy" was the most dominant emotion, while "anger" had the lowest frequency of occurrence. This study provides new insights regarding students' emotional aspects in mathematics learning, which can be used to improve teaching strategies.
Dampak Gaya Belajar dalam Menyelesaikan Soal Matematika Divergen yang Memuat Indikator Kemampuan Representasi Matematis Saputra, Andari; Dasari, Dadan; Priatna, Nanang
SAP (Susunan Artikel Pendidikan) Vol 9, No 2 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/sap.v9i2.23592

Abstract

Each student represents mathematical concepts uniquely. Therefore, this study aims to investigate how variations in students' learning styles impact their ability to solve divergent problems that measure their capacity in mathematical representation. This study utilized a one-way ANOVA test and quantitative methodology. A total of 23 eighth-grade students from one of the junior high schools in Bandung were sampled. They were selected on Tuesday, April 30, 2024, from 94 eighth-grade students using a simple random sampling technique. Learning style questionnaires and mathematical representation ability tests with divergent geometry and linear equation problems were used to collect data. The results showed that learning style, at the 5% significance level, affected symbolic mathematical representation ability yet it did not affect verbal or visual mathematical representation ability. Students with visual learning styles performed best when answering problems using symbolic mathematical representation ability, based on further investigation using post hoc tests.
Indonesian Students’ Numeracy Skills Based On PISA Mathematical Problems In Secondary School: A Meta-Synthesis Marhami, Marhami; Juandi, Dadang; Dasari, Dadan
Jurnal Pendidikan MIPA Vol 25, No 1 (2024): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

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

Abstract

Abstract: Objectives: This study aimed to describe the Indonesian students’ numeracy skills in secondary school in solving PISA mathematical problems based on four contents namely space and shape, change and relationships, quantity, uncertainty and data. Methods: A meta-synthesis was used in this study. The final 18 articles used in this study which were published in national and international journals in 2016 to 2023, obtained from databases in Publish or Perish software. This entire articles use descriptive qualitative research that describes the numeracy abilities of Indonesian students in solving PISA model questions. The included studies were structured using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 flow diagram and analyzed using Braun & Clarke's six-step thematic analysis. Finding: The results of this study indicate that overall Indonesian students in secondary school still have difficulties in using mathematical operation, understanding problems, using strategies, and interpreting the results of solving the PISA model questions in terms of space and shape, change and relationships, quantity, uncertainty, and data content. Conclusion: Numeracy skills are fundamental for students to navigate and solve problems effectively, especially in assessments like PISA. Teachers were recommended to frequently provide non-routine problems like the PISA model, which can explore students' numeracy skills, so that students become accustomed to solving high-level problems and their numeracy skills also improve.         Keywords: numeracy skills, PISA mathematical problems, and meta-synthesis. DOI: http://dx.doi.org/10.23960/jpmipa/v25i1.pp14-26
The Effect of Prior Knowledge and Learning Motivation on Mathematics Learning Outcomes of Junior High School Students Rianto, Budi; Lutfi, Ahmad; Naser, Abdurrahman Do. Muhamad; Dasari, Dadan
Jurnal Pendidikan MIPA Vol 23, No 4 (2022): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

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

Abstract

This research aimed to analyze the effect of prior knowledge and learning motivation on the mathematics achievement of junior high school students. This research is a correlational study involving 30 respondents who were taken by cluster random sampling technique. The research instrument consisted of a prior knowledge test and a learning motivation questionnaire. The research data were analyzed using simple and multiple linear regression tests. The results showed that prior knowledge had a strong effect on mathematics achievement (correlation level 0.739) and learning motivation had a very strong effect on mathematics achievement (correlation level 0.806). The results of the multiple regression test show that the prior knowledge and learning motivation simultaneously strongly influence students' mathematics achievement (correlation level 0.837). The results of this study prove that prior knowledge and learning motivation are essential factors in supporting the success of the learning process.Keywords: prior knowledge, learning motivation, mathematics achievement.DOI: http://dx.doi.org/10.23960/jpmipa/v23i4.pp1876-1886
Learning Obstacles Hindering Junior High School Students Understanding of Surface Area of a Prism Siahaan, Erika Yohanna Seventina; Dasari, Dadan; Suryadi, Didi
Jurnal Pendidikan Progresif Vol 14, No 1 (2024): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

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

Abstract

Abstract: Learning Obstacles Hindering Junior High School Students Understanding of Surface Area of a Prism. Objectives: to reveal the learning obstacles experienced by students in learning the surface area of prisms. Methods: using a qualitative method with a phenomenological design on grade IX junior high school students in Bandung as many as 29 students. Data were analyzed with the stages of data reduction, data presentation, and conclusion drawing. Findings: The results showed that students did not understand the prerequisite materials needed to understand the concept of prism surface areas such as the area of flat buildings and the Pythagorean theorem. Teachers also do not familiarize students with practicing non-routine problems so as not to spur students to form their knowledge acquisition maximally. Conclusions: students experience learning obstacles that are ontogenic, didactic, and epistemological in solving mathematical problems regarding the concept of prism surface area. The implications of this research can be utilized by educators, prospective educators, or researchers in the future to provide solutions to student learning obstacles in understanding the concept of prism surface area. Keywords: concept of prism surface area, geometry, mathematics, learning obstacles.DOI: http://dx.doi.org/10.23960/jpp.v14.i1.202413
Systematic Literature Review: Kemampuan Pembuktian Matematis Dewi, Niken Shofiana; Dasari, Dadan
Jurnal Cendekia : Jurnal Pendidikan Matematika Vol 7 No 1: Jurnal Cendekia: Jurnal Pendidikan Matematika Volume 7 Nomor 1 Tahun 2023
Publisher : Mathematics Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cendekia.v7i1.1987

Abstract

Penelitian kajian literatur terkait kemampuan pembuktian matematis belum pernah dilakukan sebelumnya. Tujuan dalam penelitian ini adalah menganalisis studi-studi kualitatif terkait kemampuan pembuktian matematis pada tahun 2015-2022. Metode penelitian yang digunakan adalah Systematic Literature Review (SLR) dengan protokol PRISMA terhadap semua artikel hasil penelitian yang terindeks dalam Google Scholar, Garuda, ERIC, dan Semantic. Strategi pencarian disesuaikan dengan kriteria seleksi dan melibatkan beberapa variabel moderator yaitu tahun publikasi, jenjang pendidikan, indeks jurnal, materi penelitian, dan jenis pembuktian yang diteliti. Data yang diperoleh disajikan secara deskriptif kuantitatif. Hasil dalam penelitian SLR ini memperlihatkan bahwa studi terkait kemampuan pembuktian matematis relatif mengalami peningkatan meski sempat turun pada tahun 2019 dan 2021. Studi mayoritas dilakukan pada jenjang perguruan tinggi dan didominasi materi aljabar. Jenis pembuktian yang sering diteliti adalah pembuktian langsung. Saran untuk peneliti selanjutnya adalah studi lebih lanjut terkait kemampuan pembuktian di jenjang sekolah menengah dengan materi geometri serta jenis pembuktian lainnya.
Co-Authors Aan Hasanah Abdul Wahab A Abdurrahman do muhamad Naser Abdurrahman Do. Muhamad Naser Agus Hendriyanto AHMAD LUTFI Ahmad Lutfi Ahmad Mukhibin Ahmad Mukhibin, Ahmad Alliseu Umiyati Ambarwati, Dela Ariyanti Jalal Aswin Aswin Atika Defita Sari Bahar, Afipa Amalia bambang avip Priatna Budi Rianto Christina Monika Christina Monika Samosir Cut Nadia Rachmi Dadang Juandi Dadang Juandi Dadang Juandi Dadang Junadi Dameria Elisabeth Simanjuntak Darhim Darhim Dela Ambarwati Desy Lusiyana, Desy Dewi, Niken Shofiana Didi Suryadi Didi Suryadi Didi Suryadi Didi Suryadi Didi Suryadi Didi Suryadi Didi Suryadi Dika Faiz Himmawan Diki Mulyana Drajat, Widi Rahmawati Edi Supriyadi Eka Khairani Hasibuan Elah Nurlaelah Elah Nurlaelah Elsa Komala Elsa Komala, Elsa Endang Cahya Mulyaning Asih Enjun Junaeti Erika Yohanna Seventina Siahaan Eyus Sudihartinih Fadhil Zil Ikram Fatimah, Siti Fatmiyati, Novita Febrianti, Tri Sedya Febrinna Marchy Fitri, Rahmia Mulya Fitria Maghfiroh, Fitria Fitria, Nida Fitriani agustina Fitriasari, Putri Fitriyah, Yuni Freddy Prasetyo Freddy Prasetyo, Freddy Gita Rani Putri Mangiri Gita Safitri Gunadi, Farid Hafilah, Putri Harahap, Maulana Al Aziz Hasya Nur Auliya Hendriyanto, Agus Hidayat, Azhar Majid Himmawan, Dika Faiz Husna Fatwana Ilham Muhammad Ilham Muhammad Inayah, Clara fadhilah Inayah, Sarah Jajang Rahmatudin Jarnawi Afgani Dahlan Jarnawi Afgani Dahlan Jozua Sabandar Kakoma Luneta Khofifa Romaito Siregar Laia, Harun Onesimus Lethulur, Nelma Dortje Lia Ardiansari Lia Arista Lina Nurhayati Lomri, Yani Astika Lubis, Asep Ridwan Lucky Heriyanti Jufri, Lucky Heriyanti Luhur Bayuaji, Luhur Lukman hakim muhaimin Lukman Lukman Lutfi, Jasmine Salsabila Luthfiyati Nurafifah Ma'ulfi Kharis Abadi Magdalena Wangge Mansyur, Azizul Jabbar Marchy, Febrinna Mardliyah, Syifa Marhami Marhami Marhami, Marhami Maria Stella Yosefina Galus Maria TSN Ma’ulfi Kharis Abadi Mitrayana - Mufarrido Husnah Muhaimin, Lukman Hakim Muhammad Fajar Anugrah Mulia Putra N. Nurjanah Nadyati Putri Nanang Priatna Nar Herrhyanto Naser, Abdurrahman Do. Muhamad Neza Zakiya Arili ningrum, yunia jumita Nisa Azzahra Nora Susilowaty Novita Fatmiyati Nurafni Nurdiani, Nunung Nurdiani, Nunung Nurhayati, Hanifah Nurhayati, Lina Pahmi, Samsul Palupi Sri Wijayanti Palupi Sri Wijayanti, Palupi Sri Panjaitan, M. Azhari Patrisius Afrisno Udil, Patrisius Afrisno Pieter Zakarias Tupamahu Pujia Siti Balkist Putri, Mei Radia Rafi Kamindra Rahma Adinda Sartika Rahmat Fitra Rahmat Kusharyadi Raisya Hizkiya Syabina Ramdhan Fazrianto Suwarman Rani Sugiarni Rasilah Rasilah Rasilah, Rasilah Rayinda Khaerul Wiladah Bahrun Rianto, Budi Ridho, Muhamat Hidayatul Riki Andriatna Rita Novita Ritmayanti, Indah Rahmania Rizqi Dwi Maharani Rusyid, Husnul Khatimah Saffanah Pertiwi Safitri, Gina safitri, gita Samosir, Christina Monika Sani Sahara Saputra, Andari Saputri, Veni Sari, Atika Defita Sari, Merisa Ammelia Savitri, Gina Scristia, Scristia Shafa Salsabila sholikhakh, Rizqi Amaliyakh Siahaan, Erika Yohanna Seventina Silitonga, R. H. Yanti Simanjuntak, Sinitta Simbolon, Asep Siswanto, Rizki Dwi Siti Fatimah Solehudin Solehudin Sri Hastuti Noer Sri Yulianti Sufyani Prabawanto, Sufyani Surya Kurniawan Swasti Maharani, Swasti Syafdi Maizora Syafdi Maizora Syaiful Syifa Mardliyah Syufyani Prabawanto Tarmudi, Tarmudi Tatang Herman, Tatang Tia Purniati Tri Nova Hasti Yunianta Trysa Gustya Manda Turmudi Tuti Hartati Wahab A, Abdul Wangge, Magdalena Widyastuti Widyastuti Yani Astika Lomri Yaya S Kusumah Yaya S. Kusumah Yaya S. Kusumah Yaya S. Kusumah Yaya Sukjaya Kusuma Yaya Sukjaya Kusumah Yuce Sandra Yuni Fitriyah Yunia Jumita Ningrum