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All Journal SAINSMAT PIONIR: Jurnal Pendidikan Indonesian Journal of Applied Statistics MODELING: Jurnal Program Studi PGMI Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah Ideguru: Jurnal Karya Ilmiah Guru MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam
Zulhijrah, Zulhijrah
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Physics Other

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Implementasi Kurikulum Merdeka Belajar dan Pendekatan Project Based Learning (PjBL) dalam Pelaksanaan Pembelajaran Siswa di Sekolah Dasar Zulhijrah, Zulhijrah; Saputri, Hera Apriliana; Hulkin, M.; Larasati, Nabila Joti; Prastowo, Andi
Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah Al-Madrasah Vol. 8, No. 2 (April 2024)
Publisher : Sekolah Tinggi Ilmu Al-Qur'an (SIQ) Amuntai Kalimantan Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35931/am.v8i2.3459

Abstract

Kurikulum merdeka belajar di sekolah dasar melibatkan siswa dalam proses pembelajaran dan memberikan kesempatan kepada siswa untuk menentukan jalannya pembelajaran. Hal ini dilakukan dengan memberikan kebebasan kepada siswa. Penelitian ini berangkat dari kegiatan belajar saat ini lebih berpusat pada guru, sehingga siswa kurang mandiri dalam memperoleh pengetahuan. Siswa juga cenderung kurang aktif, dan siswa masih belum bisa berfikir kreatif dalam kegiatan belajar. Salah satu alternatif model pembelajaran yang digunakan adalah modelProject Based Learning (PjBL). Penelitian ini memiliki tujuan untuk mendeskripsikan penerapan model Project Based Learning dalam  pelaksanaan pembelajaran di sekolah dasar.. Metode penelitian ini  menggunakan pengumpulan data berupa observasi, wawancara dan dokumentasi. Hasil penelitian diperoleh data mengenai implementasi kurikulum merdeka belajar melalui model PJBL dalam pelaksanaan pembelajaran pada sekolah dasar di Yogyakarta. Diperoleh data bahwa sekolah masih berusaha beradaptasi dengan kurikulum baru sehingga implementasi kurikulum merdeka belajar belum sepenuhnya tercapai. Kurikulum merdeka belajar melalui model PJBL sudah efektif tapi belum sepenuhnya tercapai. Salah satu aspek yang perlu diadaptasi lagi oleh sekolah adalah aspek ujian atau penilaian yang memiliki kriteria khusus, yaitu menyesuaikan pencapaian siswa dan hal tersebut menjadi titik perhatian oleh pihak sekolah begitupun dengan penerapan PJBL dalam setiap pembelajaran.
Time Series Intervention Analysis With Gradual Impact Function A Case Study Of Railway Passenger Volume In Java Island Zulhijrah, Zulhijrah; Isnaini, Mardatunnisa; Angraini, Yenni; Notodiputro, Khairil Anwar; Mualifah, Laily Nissa Atul
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142774742025

Abstract

Java Island has been significantly impacted by the COVID-19 pandemic, which started in March 2020. This study aims to analyze the impact of the pandemic on the volume of railway passengers’ volume with a time series approach using an interventional ARIMA model. The data used is the number of monthly passengers from 2015 to 2024. Initial modeling on data before the pandemic produced the best model, namely ARIMA (0,2,1). To measure the impact of the pandemic, a gradual step intervention function is used which represents the gradual effect of the event. The estimation results show that the ARIMA (0,2,1) model with a gradual step intervention function is able to provide more accurate forecasting results, with a MAPE value of 18.39%. This model effectively captures changes in mobility patterns due to the pandemic, especially in the post-intervention recovery phase. The findings make an important contribution to transportation policy evaluation and future strategic planningKeywords: Time Series, ARIMA  Intervention, Gradual Function, Railway 
Application of the Mixed Geographically Weighted Regression Model to Identify Influencing Factors for Literacy Development Index of Indonesian Society's in 2022 Zulhijrah, Zulhijrah; Ruliana, Ruliana; Aswi, Aswi
Indonesian Journal of Applied Statistics Vol 7, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v7i2.88784

Abstract

The mixed geographically weighted regression (MGWR) method is a combination of a linear regression model and a geographically weighted regression (GWR) model. The MGWR model can produce parameter estimates that have global parameter estimates, and other parameters that have local parameters according to the observation location. This method can be used in epidemiological studies that are influenced by spatial heterogeneity. The aim of this research is to determine and model the factors that influence the Community Literacy Development Index (CLDI) in Indonesia based on MGWR modeling. The data used in this research is CLDI data in Indonesia in 2022 along with the factors that are thought to influence it. The results of this research indicate that the MGWR model outperforms both the linear regression and GWR models, as it yields the lowest Akaike information criterion (AIC) value and an ?² value of 96.54%. Based on the modeling results, several factors influencing CLDI were identified, including the percentage of libraries, the adequacy ratio of library collections, the average length of schooling, and the level of participation in organized learning. Keywords: Literacy; literacy development index; mixed geographically weighted regression; spatial
Co-Authors Andi Prastowo Aswi, Aswi Bella, Sinta Ermis Suryana Hapsari, Nimas Ayu Hulkin, M. Hulkin, Muhammad Irawan, M. Ferry Irawan, Muhammad Ferry Isnaini, Mardatunnisa Larasati, Nabila Joti Mualifah, Laily Nissa Atul Muhammad Nur Aidi Nurhijatina, Havifa Rifaldi, Destriana Aulia Ruliana Ruliana, Ruliana Saputri, Hera Apriliana Shaleh, Shaleh Sulaeman, Sulthan Naufal Yenni Angraini Yulia Yulia