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All Journal Technologia: Jurnal Ilmiah Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi JUMPA : Jurnal Manajemen Pendidikan
Sri Harini
Universitas Islam Negeri Maulana Malik Ibrahim
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Representasi Matematika di Media Sosial sebagai Prediktor Persepsi Publik terhadap Matematika: Analisis Regresi Logistik Ordinal Zakiyatur Rosidah; Sri Harini
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 2 August 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i2.38214

Abstract

Public perception of mathematics is often characterized by negative views, despite its fundamental role in everyday life and human development. This study aims to examine the effects of mathematics anxiety, teacher instructional quality, mathematics learning experience, and the representation of mathematics on social media on public perceptions of mathematics. A quantitative approach with an explanatory survey design was employed. Data were collected through an online questionnaire using a five-point Likert scale from 100 respondents from the general public who had previously participated in formal mathematics education. Ordinal logistic regression was used for data analysis. The results indicate that the regression model is statistically adequate and demonstrates good model fit. Mathematics anxiety, teacher instructional quality, and mathematics learning experience do not have a significant effect on public perceptions of mathematics. In contrast, the representation of mathematics on social media has a positive and significant influence on public perception. These findings suggest that contemporary experiences through social media play a more prominent role in shaping public perceptions of mathematics than past formal learning experiences. This study contributes theoretically to the literature on mathematics perception in public contexts and provides practical implications for developing effective strategies to promote positive representations of mathematics in digital spaces.
KITA-ESD and KIVSA Leadership Typologies: The Role of Influencer Leadership, Islamic Performance, and Dedication in Developing Leading Schools Suci Hidayati; Sri Harini; Abdul Malik Karim Amrullah; Agus Maimun
JUMPA : Jurnal Manajemen Pendidikan Vol 6, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jumpa.v6i1.15073

Abstract

Education currently faces significant challenges, including global competition, rapid digital transformation, increasing demands for quality improvement, and the achievement of the Sustainable Development Goals (SDGs), particularly Goal 4 on quality education. This study aims to quantitatively and qualitatively analyze the extent to which influencer leadership affects Islamic performance and dedication, as well as its contribution to the development of ESD-based flagship schools. Additionally, this research explores leadership typologies as an emerging model relevant to 21st-century Islamic educational institutions. This study employed a mixed-method approach using Structural Equation Modeling (SEM) across four ESD-based schools in Malang Regency. Data were collected through a survey involving 100 respondents, including school principals, teachers, and educational staff. A pragmatic model with an expansive design was utilized, combining statistical analysis with qualitative exploration through observations, interviews, and document analysis. The findings indicate that influencer leadership has a positive and significant effect on enhancing Islamic dedication and performance, with a p-value of 0.00, and directly contributes to the establishment of superior schools. Islamic dedication plays a crucial role in strengthening institutional quality, while Islamic performance, although not directly significant (p-value 0.136), supports operational success. Furthermore, two leadership typologies were identified: KITA-ESD (Aswaja Transformational Influencer Leadership) and KIVSA (Aswaja Spiritual Visionary Influencer Leadership). These findings highlight that institutional success depends not only on infrastructure but also on leadership strength, Islamic work culture, and collective commitment.
ANALISIS PERUBAHAN TUTUPAN VEGETASI PADA LUAS LAHAN PERTANIAN TERHADAP PERKEMBANGAN AREA PERSAWAHAN DI WILAYAH TAMBAN MENGGUNAKAN CITRA SENTINEL-2 Arbayah Arbayah; Sri Harini; Usman Pagalay
Technologia : Jurnal Ilmiah Vol 16 No 4 (2025): Technologia (Oktober)
Publisher : Fakultas Teknologi Informasi, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, di bawah koordinasi UPT Publikasi dan Pengelolaan Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v16i4.20669

Abstract

Sawah merupakan salah satu bentuk pemanfaatan lahan yang memiliki peran penting dalam mendukung ketahanan pangan nasional. Pemantauan perubahan luas sawah secara berkala menjadi hal yang esensial untuk mengantisipasi tekanan alih fungsi lahan, degradasi kualitas lingkungan, serta untuk mendukung perencanaan pembangunan pertanian berkelanjutan. Penelitian ini bertujuan untuk menganalisis dinamika sawah di wilayah Tamban, Kalimantan Selatan, dengan mengintegrasikan indeks vegetasi Normalized Difference Vegetation Index (NDVI) dan metode klasifikasi unsupervised K-Means berbasis citra Sentinel-2 pada periode 2020–2024. Metode penelitian meliputi beberapa tahapan, yakni pra-pengolahan citra dengan masking awan, perhitungan NDVI, serta klasifikasi K-Means untuk membedakan sawah aktif dan non-sawah. Analisis dilakukan pada lima Area of Interest (AOI) dengan fokus pada perhitungan luas sawah dan pemantauan perubahan temporal. Validasi dilakukan menggunakan titik sampel lapangan dan penghitungan confusion matrix untuk memperoleh nilai akurasi klasifikasi. Hasil penelitian menunjukkan bahwa kombinasi NDVI dan K-Means mampu mengidentifikasi sawah secara akurat dengan pola spasial yang mengikuti petak lahan. Validasi menghasilkan nilai overall accuracy sebesar 98,69% dan kappa coefficient sebesar 97,21%, yang membuktikan reliabilitas metode ini. Analisis temporal memperlihatkan dinamika yang beragam antar AOI. AOI 1 dan AOI 5 menunjukkan tren peningkatan luas sawah yang mengindikasikan optimalisasi lahan, AOI 2 dan AOI 4 mengalami penurunan luas yang konsisten sehingga memerlukan perhatian khusus, sementara AOI 3 menunjukkan pola yang sangat fluktuatif dengan potensi besar namun juga rentan terhadap faktor eksternal. Variasi ini menegaskan bahwa dinamika sawah di tingkat lokal dipengaruhi oleh kondisi biofisik, sosial-ekonomi, serta praktik pengelolaan lahan yang berbeda. Secara keseluruhan, penelitian ini menegaskan bahwa kombinasi NDVI dan K-Means efektif, efisien, dan aplikatif dalam memantau perubahan sawah. Pendekatan ini berkontribusi penting bagi penyediaan informasi spasial yang dapat dimanfaatkan untuk perencanaan pertanian, pengendalian alih fungsi lahan, serta kebijakan pengelolaan sumber daya lahan yang berkelanjutan.
Co-Authors Abdul Malik Karim Amrullah Agus Maimun Arbayah Arbayah Suci Hidayati Usman Pagalay Zakiyatur Rosidah