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Investigating Employment Delays: A Multiple Classification Analysis of Job Search Duration among Graduates in Islamic Community Development Afifah, Puspa Nur; Rahmadhani, Nadya; Rifqi, Syehabu
KUBIK Vol 9, No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.36256

Abstract

Indonesia is facing big challenges: an overabundance of graduates and limited job prospects. In February 2022, the central statistics agency provided a clear picture, more than 13 million people have a bachelor's degree in Indonesia and the number of unemployed is 8.4 million people. Banten Province is ranked first in the unemployment rate in Indonesia, namely 8.53%. The aim of this research is to determine the factors that influence the length of job search for graduates of the Islamic Community Development Program at UIN Sultan Maulana Hasanuddin Banten. The analytical method used is Multiple Classification Analysis (MCA), this research investigates the influence of variables, such as gender, length of study, GPA, organizational experience, academic achievement, work experience, employment sector, and foreign language proficiency. The research results show that there is a significant relationship between length of study, GPA, work experience, and length of job search. The ANOVA test shows that these three variables have a low significance level (
Investigating Employment Delays: A Multiple Classification Analysis of Job Search Duration among Graduates in Islamic Community Development Afifah, Puspa Nur; Rahmadhani, Nadya; Rifqi, Syehabu
KUBIK Vol 9, No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.36256

Abstract

Indonesia is facing big challenges: an overabundance of graduates and limited job prospects. In February 2022, the central statistics agency provided a clear picture, more than 13 million people have a bachelor's degree in Indonesia and the number of unemployed is 8.4 million people. Banten Province is ranked first in the unemployment rate in Indonesia, namely 8.53%. The aim of this research is to determine the factors that influence the length of job search for graduates of the Islamic Community Development Program at UIN Sultan Maulana Hasanuddin Banten. The analytical method used is Multiple Classification Analysis (MCA), this research investigates the influence of variables, such as gender, length of study, GPA, organizational experience, academic achievement, work experience, employment sector, and foreign language proficiency. The research results show that there is a significant relationship between length of study, GPA, work experience, and length of job search. The ANOVA test shows that these three variables have a low significance level (
Investigating Employment Delays: A Multiple Classification Analysis of Job Search Duration among Graduates in Islamic Community Development Afifah, Puspa Nur; Rahmadhani, Nadya; Rifqi, Syehabu
KUBIK Vol 9 No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.36256

Abstract

Indonesia is facing big challenges: an overabundance of graduates and limited job prospects. In February 2022, the central statistics agency provided a clear picture, more than 13 million people have a bachelor's degree in Indonesia and the number of unemployed is 8.4 million people. Banten Province is ranked first in the unemployment rate in Indonesia, namely 8.53%. The aim of this research is to determine the factors that influence the length of job search for graduates of the Islamic Community Development Program at UIN Sultan Maulana Hasanuddin Banten. The analytical method used is Multiple Classification Analysis (MCA), this research investigates the influence of variables, such as gender, length of study, GPA, organizational experience, academic achievement, work experience, employment sector, and foreign language proficiency. The research results show that there is a significant relationship between length of study, GPA, work experience, and length of job search. The ANOVA test shows that these three variables have a low significance level (
Investigating Employment Delays: A Multiple Classification Analysis of Job Search Duration among Graduates in Islamic Community Development Afifah, Puspa Nur; Rahmadhani, Nadya; Rifqi, Syehabu
KUBIK Vol 9 No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.36256

Abstract

Indonesia is facing big challenges: an overabundance of graduates and limited job prospects. In February 2022, the central statistics agency provided a clear picture, more than 13 million people have a bachelor's degree in Indonesia and the number of unemployed is 8.4 million people. Banten Province is ranked first in the unemployment rate in Indonesia, namely 8.53%. The aim of this research is to determine the factors that influence the length of job search for graduates of the Islamic Community Development Program at UIN Sultan Maulana Hasanuddin Banten. The analytical method used is Multiple Classification Analysis (MCA), this research investigates the influence of variables, such as gender, length of study, GPA, organizational experience, academic achievement, work experience, employment sector, and foreign language proficiency. The research results show that there is a significant relationship between length of study, GPA, work experience, and length of job search. The ANOVA test shows that these three variables have a low significance level (
Pengolahan Limbah Minyak Jelantah Menjadi Lilin Aromaterapi sebagai Peluang Ide Usaha di Perumnas Ciracas Indah Serang Isma, Holifatul; Sulistiani, Vina; Marcelah, Marcelah; Hadyan, Afit; Afifah, Puspa Nur
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 5 No. 1: November 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v5i1.13093

Abstract

Minyak jelantah merupakan limbah rumah tangga yang berpotensi mencemari lingkungan dan menimbulkan risiko kesehatan apabila digunakan berulang. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan kesadaran pengelolaan limbah minyak jelantah sekaligus mendorong inovasi pemanfaatannya menjadi produk bernilai ekonomi, yaitu lilin aromaterapi. Metode yang digunakan meliputi sosialisasi dan pelatihan dengan pendekatan partisipatif melalui ceramah, diskusi, dan praktik langsung bersama ibu-ibu PKK RW 08 Perumnas Ciracas, Kelurahan Serang. Hasil kegiatan menunjukkan peningkatan pemahaman masyarakat dalam mengolah minyak jelantah secara aman dan produktif, serta terbukanya peluang usaha baru. Analisis kelayakan menunjukkan bahwa biaya produksi 10 lilin sebesar Rp91.000 dengan harga jual Rp10.000 per unit menghasilkan laba bersih Rp108.000 dan nilai R/C ratio sebesar 1,17 (>1) sehingga usaha ini layak dikembangkan. Temuan ini menegaskan bahwa pemrosesan minyak jelantah menjadi lilin aromaterapi tidak hanya berkontribusi pada pengurangan beban lingkungan, tetapi juga memiliki potensi ekonomi sebagai alternatif pemberdayaan masyarakat berbasis limbah.
Evaluasi Model Regresi GWR dan NBR untuk Analisis Kriminalitas di Banten: Tantangan Sampel Terbatas Afifah, Puspa Nur; Permata, Sekar Ayu; Saputra, Wahyu Arjuna
Teorema: Teori dan Riset Matematika Vol 10, No 2 (2025): September
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/teorema.v10i2.19317

Abstract

Penelitian ini mengevaluasi tiga model regresi dalam menganalisis tingkat kriminalitas di Provinsi Banten, yaitu Regresi Poisson, Regresi Geographically Weighted Regression (GWR), dan Regresi Binomial Negatif (NBR). Data mencakup delapan wilayah administratif dengan variabel penjelas seperti kepadatan penduduk, rasio penduduk terhadap polisi, tingkat pengangguran terbuka, angka kemiskinan, rata-rata lama sekolah, dan Indeks Pembangunan Manusia. Hasil menunjukkan bahwa 1) model Poisson mengalami overdispersi berat dan gagal menangkap pengaruh variabel prediktor, 2) model GWR memiliki nilai AIC terendah, namun menghasilkan parameter yang identik di semua wilayah, mengindikasikan overfitting akibat keterbatasan jumlah wilayah, 3) Model NBR memberikan deviasi rendah dan AIC yang kompetitif, menunjukkan kinerja statistik yang lebih stabil pada data terbatas. Studi ini menyoroti pentingnya mempertimbangkan ukuran sampel dalam pemilihan model spasial, serta menyarankan penggunaan NBR sebagai alternatif yang layak untuk data count yang overdispersi dengan jumlah unit kecil.
Pemberdayaan orang tua dalam pengasuhan balita melalui inovasi smart hat di Gembong Sukatani, Banten Ulumiah, Dina Dzahabiyyati; Purwanti, Eneng; Afifah, Puspa Nur
Jurnal Praksis dan Dedikasi Sosial Vol. 8 No. 2 (2025)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um022v8i22025p452-460

Abstract

Parental empowerment in early childhood care via the smart hat innovation in Gembong Sukatani, Banten This study aims to empower parents in toddler caregiving through the implementation of the smart hat technological innovation in Kampung Gembong Sukatani, Banten. Developed to address the low quality of childcare stemming from limited time, knowledge, and digital literacy, the smart hat is an Internet of Things (IoT)-based device equipped with a body-temperature sensor, camera, and real-time notification system to help parents remotely monitor their children’s condition. The study employs a Participatory Learning and Action (PLA) approach, engaging the community actively from planning and implementation to evaluation. Findings indicate that the Smart Hat not only enhances parents’ capacity to monitor toddlers’ health and safety but also fosters collective awareness of the importance of technology-supported caregiving. The program promotes digital parenting and strengthens social solidarity at the community level. Despite challenges such as limited digital literacy and internet access, the initiative successfully increases community capacity and self-reliance in applying simple technologies for safer and more effective childcare. Penelitian ini bertujuan untuk memberdayakan orang tua dalam pengasuhan balita melalui penerapan inovasi teknologi smart hat di Kampung Gembong Sukatani, Banten. Inovasi ini dikembangkan sebagai solusi terhadap permasalahan rendahnya kualitas pengasuhan anak akibat keterbatasan waktu, pengetahuan, dan literasi digital masyarakat. Smart Hat merupakan perangkat berbasis Internet of Things (IoT) yang dilengkapi sensor suhu tubuh, kamera, serta sistem notifikasi real-time untuk membantu orang tua memantau kondisi anak dari jarak jauh. Metode yang digunakan adalah Participatory Learning and Action (PLA), dengan melibatkan partisipasi aktif masyarakat sejak tahap perencanaan, pelaksanaan, hingga evaluasi. Hasil penelitian menunjukkan bahwa penggunaan smart hat tidak hanya meningkatkan kemampuan orang tua dalam memantau kesehatan dan keamanan balita, tetapi juga menumbuhkan kesadaran kolektif tentang pentingnya pengasuhan berbasis teknologi. Program ini mendorong terciptanya digital parenting serta memperkuat solidaritas sosial di tingkat komunitas. Meskipun masih terdapat kendala seperti keterbatasan literasi digital dan akses internet, kegiatan ini berhasil meningkatkan kapasitas dan kemandirian masyarakat dalam menerapkan teknologi sederhana untuk pengasuhan anak yang lebih aman dan efektif.