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Modeling East Java Province Poverty Cases Using Birespon Truncted Spline Regression Rizka Amalia Putri; Nindya Wulandari; Erlyne Nadhilah Widyaningrum; Morina A. Fathan; Nur Rezky Safitriani
Indonesian Journal of Applied Statistics Vol 8, No 1 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v8i1.100915

Abstract

An analytical method for determining the relationship between predictor and response variables is regression. For data that shows unidentified patterns, nonparametric regression is a suitable data analysis technique. A nonparametric regression technique is the truncated spline. Due to the widespread use of truncated spline with a single response variable, this study employs biresponse truncated spline, which uses two response variables to produce a better model than single-response modeling. The purpose of this study is to obtain the best model and to identify which variables influence the poverty case in East Java Province using biresponse truncated spline regression. The best knot points were chosen for this investigation using Generalized Cross Validation (GCV). With three knot points and a model goodness of fit () of 95.83%, GCV gives the best modeling results. Applying this model to the East Java Province case of poverty using data on the poverty depth index and the percentage of the population living in poverty in 2023 reveals that the Labor Force Participation Rate (TPAK), Average Years of Schooling (RLS), and Open Unemployment Rate (TPT) all have a significant effect.Keywords: biresponse truncated spline; nonparametric regression; poverty
Pemberdayaan Masyarakat Berbasis SDGS melalui Program Kuliah Kerja Nyata (KUKERTA) Berdampak Khusus di Kampung Suak Lanjut Nindya Wulandari; Andrew Baker Hutapea; Rafeyfa Asyla Fadya; Arinda Rianita Armand; Kayla Arruza Khalisa; Sayyidah Naisya Cahya; Aisah Isnaini Efendi; Resti Julia Amanda; Aulia Rahma; Nabila Arifah Pratiwi; Haura Salsabilla; Tutut Nurhasanah
Mestaka: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 3 (2026): JUNI 2026
Publisher : Pakis Journal Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58184/mestaka.v5i3.1000

Abstract

Suak Lanjut Village has significant economic and natural resource potential, but it still faces challenges in digital aspects, house-hold waste management, and student learning motivation. The 2026 Special Impact Community Service Program (KUKERTA) from the Faculty of Mathematics and Natural Sciences, University of Riau, came to provide integrative solutions through three main programs: digitalization of MSMEs, processing of organic compost and Liquid Organic Fertilizer (POC), and enjoyable science tutoring. The method used during this service was a participatory approach through socialization, demonstrations, and direct mentoring. The results of the activities showed increased digital visibility for several local MSMEs, the formation of community understanding in converting kitchen waste into more useful things, and increased enthusiasm of elementary school students for science learning. This program succeeded in building an empowerment ecosystem that synergizes economic, environmental, and educational aspects towards a more independent and prosperous Suak Lanjut Village community.
Penerapan Strategi Polya dalam Pelatihan Pemecahan Masalah Matematis untuk Kesiapan Olimpiade Siswa SMAS IT Al Fityah Iis Nasfianti; Efni Agustiarini; Nindya Wulandari; Rizka Amalia Putri
Journal of Applied Community Service and Innovation Vol. 2 No. 01 (2026): ISSUE JUNI
Publisher : PT. Mifandi Mandiri Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63401/jacsi.v2i01.1460

Abstract

Pembinaan olimpiade matematika memerlukan latihan yang menekankan penalaran, pemilihan strategi, dan verifikasi jawaban, bukan sekadar penerapan rumus. Kegiatan pengabdian ini bertujuan menerapkan empat tahap Polya untuk membangun kesiapan awal siswa SMAS IT Al Fityah dalam menghadapi soal olimpiade. Pelatihan dilaksanakan pada 24 Agustus 2024 dan diikuti oleh 11 siswa kelas XI dengan melibatkan empat dosen FMIPA Universitas Riau. Metode pelatihan bersifat partisipatif melalui orientasi, pemodelan strategi, latihan terbimbing, diskusi, dan refleksi. Bahan latihan bertipe olimpiade tingkat SMA mencakup empat rumpun, yaitu statistika dan peluang, teori bilangan, aljabar, serta kombinatorika. Evaluasi formatif berbasis proses menggunakan daftar hadir, catatan fasilitator, respons diskusi, penyelesaian latihan, dan dokumentasi. Hasil kegiatan menunjukkan bahwa setelah memperoleh pertanyaan penuntun, siswa mulai mengidentifikasi informasi, menyusun rencana, menjalankan strategi, dan meninjau jawaban, meskipun kemampuan menjelaskan strategi secara mandiri belum merata. Luaran konkret kegiatan berupa seperangkat materi dan latihan yang dapat digunakan kembali sekolah sebagai pengayaan awal. Hasil tersebut ditafsirkan sebagai ketercapaian proses, bukan peningkatan kemampuan secara kuantitatif. Pembinaan lanjutan perlu dilengkapi asesmen diagnostik, latihan bertingkat, dan rubrik tahapan Polya.