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All Journal SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Inriyatni Sri Pertiwi Ginting
Universitas Cenderawasih
Education Social Sciences Other

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THE EFFECTIVENESS OF DEEP LEARNING-BASED LEARNING WITH A PROJECT-BASED LEARNING MODEL TO IMPROVE STUDENT LEARNING OUTCOMES IN REGIONAL DEVELOPMENT MATERIALS AT SMA NEGERI 4 JAYAPURA CITY Inriyatni Sri Pertiwi Ginting; Renny T. Tumober; Muhammad Ridwan; Febriyanti Angelia Ginting; Tommi; Poppy Haryani
SOSIOEDUKASI Vol 15 No 1 (2026): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v15i1.7676

Abstract

This study analyzes the effectiveness of integrating Deep Learning and Project-Based Learning (PjBL) on student learning outcomes in Regional Development material at SMA Negeri 4 Kota Jayapura. A quasi-experimental method with one group pretest-posttest design was applied to 34 students of class XI D. Data were collected through tests, observations, and documentation, then analyzed using Paired Sample t-Test. The results showed a significant increase in learning outcomes with pretest average of 24.29 to 74.96 in posttest (t = -29.717; p < 0.05). This learning also produced contextual teaching materials and improved students' conceptual understanding from memorization to analytical thinking. This study contributes to the development of innovative geography learning models. Future research is recommended to use control groups and integrate digital technology.
SPATIAL DISTRIBUTION OF MALARIA PATIENTS IN ENDEMIC AREAS USING GEOGRAPHIC INFORMATION SYSTEMS: A CASE STUDY OF MUARA TAMI DISTRICT, JAYAPURA CITY, INDONESIA Tommi; Inriyatni Sri Pertiwi Ginting
SOSIOEDUKASI Vol 15 No 3 (2026): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v15i3.9387

Abstract

Malaria remains a major public health problem in Papua Province, Indonesia, particularly in Jayapura City. Muara Tami District is one of the endemic areas with substantial malaria transmission, influenced by environmental conditions and human activities that support mosquito-vector exposure. This study aimed to identify the demographic characteristics of malaria patients and examine their spatial distribution in Muara Tami District using a Geographic Information System (GIS). An observational study with descriptive and spatial analysis was conducted using malaria case data recorded in 2025 from the Jayapura City Health Office and primary health centers in Muara Tami District. Patient characteristics were analyzed according to sex and age group, while GIS was used to visualize the distribution of cases at the village level. The results identified 10,869 malaria cases, with males accounting for a greater proportion of cases than females. The highest proportion was observed among individuals aged 21–30 years, indicating a substantial burden among the productive-age population. Spatial analysis showed an uneven distribution of cases, with the highest concentration occurring in Koya Barat, followed by Holtekamp, Koya Timur, and Koya Tengah. The study contributes a village-level spatial perspective by integrating demographic characteristics with malaria case distribution in an endemic border district. The findings indicate that GIS-based mapping can support the identification of priority areas and population groups for more spatially targeted malaria surveillance and control interventions in Muara Tami District.
Co-Authors Febriyanti Angelia Ginting Muhammad Ridwan Poppy Haryani Renny T. Tumober Tommi Tommi