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Wardani Rahayu

Universitas Negeri Jakarta

Author-ID : 2388761

Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Validitas dan Reliabilitas Instrumen Self Efficacy dalam Pembelajaran Matematika Nurhasanah, Heni; Rahayu, Wardani; Hidajat, Flavia Aurelia
ANARGYA: Jurnal Ilmiah Pendidikan Matematika Vol 8, No 1 (2025): Vol 8, No 1 (2025)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/anargya.v8i1.14214

Tujuan dari penelitian ini adalah untuk menganalisis validitas dan reliabilitas instrumen self efficacy dengan menggunakan Rasch Model. Responden pada penelitian ini merupakan siswa SMA berjumlah berjumlah 347 orang. Hasil analisis instrumen self-efficacy menggunakan model Rasch ditinjau berdasarkan aspek-aspek unidimensionalitas, analisis butir item (termasuk tingkat kesulitan dan kesesuaian butir item), serta analisis keseluruhan instrumen. Temuan dari penelitian ini menunjukkan bahwa nilai Cronbach Alpha mencapai 0,90, yang tergolong dalam kategori sangat baik. Selain itu, nilai person reliability tercatat sebesar 0,88, yang termasuk dalam kategori baik, dan nilai item reliability sebesar 0,98, yang berada pada kategori istimewa. Dengan hasil tersebut dapat dikatakan instrumen self-efficacy dapat digunakan dalam pembelajaran matematika.

Psikometrika Instrumen Konsep Diri dalam Pembelajaran Matematika Khoirunnisa, Mustika; Rahayu, Wardani; Hidajat, Flavia Aurelia
ANARGYA: Jurnal Ilmiah Pendidikan Matematika Vol 8, No 1 (2025): Vol 8, No 1 (2025)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/anargya.v8i1.14213

The purpose of this study was to develop a non-test instrument that can be used to measure students' self-concept in mathematics learning. The instrument created was a self-concept questionnaire with 12 statements with three dimensions of self-concept, namely knowledge, expectations, and assessments. This instrument is in the form of a rating scale with 4 choices, namely strongly disagree, disagree, agree, and strongly agree. The respondents in this study were 306 high school students. Data processing in this study used the Rasch Model which was operated through the Winstep application. The reliability of the self-concept development instrument is in the good category with a Cronbach Alpha (KR-20) Person Raw Score value of 0.71, meaning that the development instrument in this study can be used to express students' self-concept in mathematics learning. Include from 12 items of student self-concept statements in mathematics learning valid because they meet at least one validity criterion.

EVALUATION OF THE CONTENT VALIDITY OF THE BSDLE INSTRUMENT USING EXPERT JUDGMENT AND AIKEN’S V ANALYSIS Oktavia, Oktavia; Rahayu, Wardani; Sarifah, Iva
International Conference on Humanity Education and Society (ICHES) Vol. 4 No. 1 (2025): The 4rd International Conference on Humanity Education and Society (ICHES)
Publisher : FORPIM PTKIS ZONA TAPAL KUDA

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

This study aims to examine the content validity of the Belonging-Supportive Deep Learning Environments (BSDLE) instrument, designed to measure students’ perceptions of belonging, social support, and acceptance within higher education settings. The validation process involved expert evaluations in educational psychology to ensure the relevance, clarity, and alignment of the instrument items with the intended constructs. Content validity analysis using Aiken’s V yielded values ranging from 0.85 to 1.00, indicating a very high level of expert agreement on item quality. These results confirm that the BSDLE instrument has a strong foundation of content validity and is ready for subsequent empirical application. As a follow-up, it is recommended to conduct a Confirmatory Factor Analysis (CFA) to comprehensively assess construct validity in a larger and more diverse population.

Integrating Graded and Nominal Response Models to Analyze User Preferences in AI-, AR-, and VR-Based Virtual Try-On for Personalized Beauty Experiences Nuridayanti, Nuridayanti; Josua, Dian Pertiwi; Rahayu, Wardani; Ridwan, Achmad
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.8696

The increasing adoption of digital beauty technology through Virtual Try-On (VTO) platforms powered by artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) necessitates a precise understanding of user preferences. This study aims to model user responses to VTO features using Item Response Theory (IRT), specifically the Graded Response Model (GRM) for ordinal-scale items and the Nominal Response Model (NRM) for non-ordinal categorical items. A total of 15 items were analyzed using GRM to assess users’ perceptions of AI accuracy, feature convenience, and visual satisfaction. Additionally, five non-ordinal items were modeled using NRM to capture explicit preferences for specific VTO functionalities, such as digital interaction and visual simulation. The results show that the average user preference score was 3.02 out of 5 (SD = 1.03), while the total preference score averaged 60 out of 100 (SD = 10.7), with response distributions approximately normal (skewness = 0.12; kurtosis = -0.24). The item information curves from the GRM indicated that several items contributed high information (above 2.0), effectively differentiating users within the −1 to +1 ability range. In the NRM analysis, the “real-time color visualization feature” exhibited the highest utility parameter (c = 1.98), indicating a strong user preference for this feature. The integration of GRM and NRM enables a more nuanced and flexible mapping of user preferences. This study presents a novel psychometric approach by combining GRM and NRM within a single VTO context to simultaneously capture both ordinal and nominal dimensions of user experience, which has not been extensively explored in prior research. These findings provide meaningful insights for the development of adaptive, personalized, and intelligent AI-based VTO systems to enhance the quality of user experience in digital beauty applications.

Mentoring the Implementation of In-Depth Learning for High School and High School Plus Teachers at the Al-Ashriyyah Nurul Iman Foundation Tjalla, Awaluddin; Rahayu, Wardani; Sarifah, Iva; Ridwan, Achmad; Riyadi, Riyadi; Priyanto, Sugeng; Rini, Indah Mustika; Merrydian, Siska
JUPE : Jurnal Pendidikan Mandala Vol 10, No 3 (2025): JUPE : Jurnal Pendidikan Mandala (September)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jupe.v10i3.9350

This community service program was conducted in the framework of strengthening the professional competencies of high school teachers in the application of Deep Learning strategies. The target audience were teachers of SMA and SMA Plus at Yayasan Al-Ashriyyah Nurul Iman Islamic Boarding School – Parung, Bogor. The problems found included the lack of understanding and implementation skills related to deep learning-based learning strategies and assessment instruments. Through workshops, mentoring, and collaborative coaching methods, the teachers were guided to design and apply deep learning-based assessments. The results indicated an improvement in teachers' understanding and ability to implement deep learning assessments, as reflected in positive feedback in the satisfaction survey, the increased post-test scores and formation of professional traits based on teachers’ self-assessment. This program contributes significantly to pedagogical strengthening and the quality of learning in the Merdeka Belajar curriculum context.

Implementing Rasch Model for Modern Test Evaluation Using Python Prototype Piliyang, Yusriizal; Arafiyah, Ria; Rahayu, Wardani
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 8 No 1 (2025): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v8i1.04

This study explores the implementation of the Rasch Model for modern test evaluation using a custom Python prototype, validated against Winsteps software. Focusing on dichotomous exam data from a significant sample, the research estimates participant ability and item difficulty with high precision, achieving standard errors below 0.30. The model identifies misfitting items, such as Item I5 with an outfit mean square of 1.45, enhancing test design reliability. Item Characteristic Curves (ICC) and Item Information Functions (IIF) support the efficacy of Computer Adaptive Testing (CAT) across varying ability levels. Results demonstrate the prototype's consistency with Winsteps (correlation = 0.98), affirming its potential as a flexible tool for educational assessment. Limitations include the command-line interface and the need for larger datasets, suggesting future improvements in scalability and usability. This work advances modern testing practices, offering a foundation for adaptive and fair assessment systems.

Co-Authors Achmad Ridwan, Achmad Adi Rahman Adinda Cahyani Afriadi, Bambang Agustiani Putri Ahmad Zaeni Ahmad, Nurul Qomariyah Ajeng Meilani Alifa Sabrina Amalia, Nazira Amini, Ingriani Indah Anan Sutisna Anggela Soraya Anggraini, Tesi Ani Rusilowati Anny Sovia Arafiyah, Ria arnianti arnianti Asep Sutisna Aurelia Hidajat, Flavia Awaluddin Tjalla Ayu Lestari Sardi Azima, Laely Astafiani Bahrul Hayat Besse Arnawisuda Ningsi Burhanuddin Tola Candra Irawan Corry Yohana Dadan Sumardani Dali S. Naga Dali S. Naga Dali Santun Naga Dali Santun Naga Darmastuti, Lintang Deni Iriyadi Deviana, Tina Dien Maya Alvionita Dion Aris Simanjuntak Dwi Rismi Ocy Dwi Rismi Ocy Eko Wahyudi Eko Widodo El Hakim, Lukman Elfrida Ratnawati Ellis Salsabila, Ellis Ema Noviah Erdawaty Kamaruddin Erry Utomo Erwin Sulaeman Firmansyah, Firmansyah Fitri Khairunnisa Flavia Aurelia Hidajat Flavia Aurelia Hidajat, Flavia Aurelia Fridani, Lara Gartika, Euis Hajizah, Mimi Nur Hakim, Lukman El Handayani, Lisya I Made Putrawan Iasha, Vina Ibnu Salman, Ibnu Indah Mustika Rini Intan Isma Fauziyah Irvana Arofah Iva Sarifah Josua, Dian Pertiwi Kacep Muslim Kadir Kadir Kadir Kadir Kadir Kadir Kartono - Ketty Diana Tundoong Ketty Diana Tundoong, Ketty Diana Khairunesa Isa Khoirunnisa, Mustika Kismanto, Nugro Koeshella, Ajeng Komarudin Komarudin Leny Dhianti Haeruman Lesmanawati, Yunita Lidia Lidia, Lidia Lisa Dwi Ningtyas Lubis, Risa Nursamsih Lukita Ambarwati Lukman El Hakim Lusi Lusiyana Makmuri Makmuri Makmuri Makmuri Makmuri Maysun Meilanie, R Sri Martini Meiliasari Meiliasari Meiliasari Meiliasari Meiliasari Meiliasari Merrydian, Siska Mezika Wahyuni Miiftakhul Fitri Moch. Herlan Mochamad Herlan Muhammad Dede Firman Muhammad Dwirifqi Kharisma Putra Muhammad Dwirifqi Kharisma Putra Ndoluanak, Yofran Hengki Nidia Rosita Ninik Anggraini Novaliyosi Novaliyosi Novelin Gracia Noviah, Ema Nur Sholihin Nurhasanah, Heni Nuridayanti, Nuridayanti Nurjannah Nurjannah Ocy Dwi Rismi Ocy, Dwi Rismi Oktavia Oktavia Oktaviani, Maya Permana, Agus Agung Piliyang, Yusriizal Pinta Deniyanti Sampoerno Rahmadhani, Elfi Rahmi. S, Laila Rahmirini Datau Raihanati Raihanati Ramadan, Awalia Nor Ratna Widyati Rini Setiawati Rini, Indah Mustika Riyadi Riyadi Riyadi Riyan Arthur Rofifah, Jihan Rosita Uli Sihombing Rosita Uli Sihombing Roudloh Muna Lia Samsun, Samsun . Sembiring, Rinawati Sihombing, Jesika Yanti Simanjuntak, Dion Aris Siska Merrydian Siti Nur Cholifah Siti Rohmah Rohimah Soesanto, Robert Harry Sugeng Priyanto, Sugeng Sukarman Sukarman Sukarman Sukarman Sulaeman, Erwin Supriyadi Supriyadi Supriyati, Yetti Suraji Suraji Syarifah Ayu Tengku Riza Zarzani N Tesi Anggraini Tika, Neni Widias Tri Cahya Mulia tri wahyuni Umar, Jahja Valendra Granitha Shandika Puri Valeria Yekti Kwasaning Gusti Vera Maya Santi Vina Iasha Wahyu Akbari Waryadi Waryadi Winona Amanda Tiara Widodo Wiwi Isnaeni Yuli Rahmawati Yunida, Helvy Yunika Apriyani Yunita Lesmanawati

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