Article Per Year (5 Year)
p-Index From 2020 - 2025
0.882
P-Index
This Author published in this journals
All Journal An-Nur : Jurnal Studi Islam Pentagon: Jurnal Matematika dan Ilmu Pengetahuan Alam Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Sofiah Aini
Unknown Affiliation
Religion Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Immunology & microbiology Mathematics Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Mengurai Diskriminasi terhadap Wanita Berhijab Syar’i: Perspekstif Nilai Kemanusiaan Rahayu Fuji Astuti; Sofiah Aini
AN NUR: Jurnal Studi Islam Vol. 16 No. 1 (2024): January - June
Publisher : Institut Ilmu Al-Qur'an (IIQ) An-Nur Yogyakarta Komplek PP An Nur Ngrukem PO BOX 135 Bantul 55702 Yogyakarta Tlp/Fax (0274) 6469012. http://jurnalannur.ac.id/

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37252/annur.v16i1.884

Abstract

The use of the hijab by Muslim women has experienced rapid growth in recent years, marked by increasing interest and a variety of models that follow modern fashion trends. However, the popularity of the hijab as a fashion trend also has a negative impact in the form of discrimination against women who wear the Islamic hijab. The aim of this analysis is to provide a deeper understanding of the various forms of discrimination faced by women who wear the Islamic hijab, explore its impact, and suggest concrete steps from a human values ??perspective to achieve a more just and inclusive society. This research uses a qualitative descriptive method by means of interviews. From the results of this research, discrimination against women wearing the Shar'i hijab has several impacts, namely psychologically, it has an impact on mental health. Economically, the impact of difficulty finding work can cause the economy to decline. Socially, the lack of support from the surrounding environment can make it difficult for Islamic hijab users to interact. So efforts can be made to prevent discrimination from the perspective of human values ??such as human dignity and honor, equality and non-discrimination, tolerance and respect for diversity, freedom of religion and belief, justice and solidarity, human rights. Forming and maintaining human values ??certainly requires educational assistance and legal assistance. With this, it is hoped that it can play an important role in creating an ethical society and providing justice for women who wear the Sharia hijab.
Optimalisasi Pemahaman Matematika Santri MTs Swasta Darularafah dengan Sistem Pendukung Keputusan Berbasis VIKOR Khairunnisa Ani Putri; Sofiah Aini; Rika Hanifah Tanjung; Nursakila Ena Anjani
Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 3 No. 3 (2025): September : Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/pentagon.v3i3.766

Abstract

Modern Islamic boarding schools not only focus on religious education, but are also required to improve the academic quality of students, including in mathematics subjects which are often challenging due to differences in students' learning styles, motivations, and abilities. This study aims to design and implement a Decision Support Sistem (DSS) based on the VIKOR method to analyze students' mathematical understanding and provide recommendations for more adaptive learning strategies. The study uses a descriptive quantitative approach with data obtained through documentation of students' grades, as well as interviews with mathematics teachers. The VIKOR method is used to evaluate students' understanding based on five main criteria, namely exam scores, report card scores, attendance, attitudes and behavior, and skills, through a process of normalization, weighting, calculation of S, R, and Q scores, and ranking students. The results show that there are five students with the lowest level of mathematical understanding, namely A11, A4, A17, A1, and A12, who have the lowest VIKOR index scores. This low level of understanding is influenced by factors such as learning attitudes, attendance, report card scores, and skills, so they require further attention and guidance from teachers. The application of the VIKOR method in SPK has proven effective in optimizing the analysis of students' mathematics achievements and providing recommendations for more targeted personal learning strategies, thereby helping to improve the quality of education and maximize students' academic potential.
Sistem Pendukung Keputusan menggunakan Metode SMARTER pada Pemilihan Guru Terbaik di SMP Swasta Darularafah Raya Rika Hanifah Tanjung; Nursakila Ena Anjani; Sofiah Aini; Khairunnisa Ani Putri
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 3 No. 3 (2025): September : Jurnal Matematika dan Ilmu Pengelatuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v3i3.5625

Abstract

The internship program is designed to introduce students to the practical application of the theories and knowledge they have acquired during their studies in a real work environment. This activity was conducted at SMP Swasta Galih Agung, an educational institution under the Darularafah Raya Islamic Boarding School Foundation, which aims to develop pious, skilled, and technologically literate students with strong physical and intellectual abilities. At the beginning of the odd semester of the 2023–2024 academic year, the number of female students enrolled was 470, but by the end of the semester, it had decreased to 455, representing a 0.96% decline. The purpose of this study is to perform a ranking analysis for selecting the best teacher based on expertise and teaching performance. The research employs the SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranks) method, combined with ROC (Rank Order Centroid) weighting and sensitivity analysis to measure the accuracy of ranking results. The findings show that the teacher with code T10 achieved the highest score of 0.521, followed by T7, T1, T2, T5, T11, T12, T8, T4, T9, T6, and T3, with the lowest score being 0.310. The lowest sensitivity value of 0 indicates the most optimal weighting result. The decision support system designed using questionnaires and Excel simplifies data input and assists the principal in making objective and efficient decisions.
Penerapan Metode Oreste pada Sistem Pendukung Keputusan dalam Pemilihan Alasan Terbaik Diyah SMP Galih Agung Memilih Persantren Darularafah Raya Nursakila Ena Anjani; Rika Hanifah Tanjung; Sofiah Aini; Khairunnisa Ani Putri
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 5 (2025): Oktober : Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i5.803

Abstract

N the rapidly evolving digital era, decision-making has become a critical aspect across various fields, including education, where choices such as selecting an Islamic boarding school (pondok pesantren) are often influenced by complex and subjective factors. This study addresses the dilemma faced by Diyah, a junior high school student, in determining the best reasons for choosing Pondok Pesantren Darularafah Raya, highlighting the limitations of manual, personal-based processes that fail to systematically consider measurable criteria like educational quality, learning environment, facilities, discipline, and instilled religious values. The advancement of information technology provides a solution through Decision Support Systems (DSS), utilizing the ORESTE (Organization, Rangement Et Synthèse De Données Relationnelles) method, which effectively processes ordinal data to produce objective rankings based on subjective yet structured preferences. Unlike other methods such as SAW or AHP that rely on numerical data, ORESTE emphasizes relative preference weights, making it suitable for individual decision-making contexts like educational choices. The novelty of this research lies in applying ORESTE in a DSS focused on analyzing an individual's best reasons for selecting a pesantren, aiming to reduce subjective bias and enhance rationality. The primary objective is to develop a DSS using the ORESTE method to analyze and determine Diyah's optimal reasons for choosing the pesantren. Through this, the system is expected to accelerate evaluation processes, improve objectivity, and identify dominant factors influencing educational decisions. Findings from the implementation demonstrate accurate rankings that prioritize key criteria, leading to more efficient and data-driven outcomes. Implications include aiding students, schools, and educators in understanding influential factors, fostering objective assessment systems, and serving as a reference for future studies integrating MCDM methods with computer-based systems in personalized educational decision-making.
Co-Authors Khairunnisa Ani Putri Nursakila Ena Anjani Rahayu Fuji astuti Rika Hanifah Tanjung