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All Journal GEA, Jurnal Pendidikan Geografi Jurnal Moral Kemasyarakatan Penelitian Pendidikan Geografi Politicon : Jurnal Ilmu Politik GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Jurnal Social Science DEVOTIONIS: Journal of Community Service Jurnal Geosaintek Jurnal Penelitian Pendidikan Geografi
Irfan Rifani
Universitas Negeri Manado
Humanities Earth & Planetary Sciences Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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PENERAPAN PEMBELAJARAN JIGSAW DALAM MENINGKATKAN HASIL BELAJAR SISWA PADA MATA PELAJARAN GEOGRAFI DI SMA NEGERI 1 REMBOKEN Tumembouw, Anastaysa Natalia Jusia; Lobja, Xaverius Erick; Rifani, Irfan; Selfiardy, Syafrida; Korompis, Emanuel Estefanus; Nugroho, Cahyadi
Jurnal Social Science Vol. 13 No. 1 (2025): Juni
Publisher : Fakultas Ilmu Sosial dan Hukum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jss.v13i1.10151

Abstract

The main research problem is how the use of Jigsaw learning can improve students learning outcomes in geography subjects at SMA Negeri 1 Remboken The research objective is to determine the use of Jigsaw learning to enhance students learning outcomes in geography subjects at SMA Negeri 1 Remboken < em> The research method employed is descriptive quantitative research with data collection techniques including observation documentation interviews and tests as the main techniques The sampling method used is purposive sampling The research respondents are 27 students from class Xb < em>The research findings indicate that: 1 The results of the learning activities show that the majority of students who participated in this research demonstrated good learning activities during the learning process 2 Most students who participated in this research showed successful participation in the learning activities resulting in good learning outcomes The data shows that students achieved a score of 70 with all 27 students 100 of the participants obtaining this score Therefore all students are considered successful in the Jigsaw learning they participated in < em>< p>
SUATU STUDI TENTANG PARTISIPASI MASYARAKAT DALAM USAHA PELESTARIAN LINGKUNGAN DI DESA KOROLOLAMA KECAMATAN PETASIA KABUPATEN MOROWALI UTARA PROVINSI SULAWESI TENGAH Arief, Dian Vitaduri; Karwur, Hermon Maurits; Poli, Ellen Eva; Suoth, Grace Feibe Evangelista; Rifani, Irfan
Jurnal Social Science Vol. 13 No. 1 (2025): Juni
Publisher : Fakultas Ilmu Sosial dan Hukum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jss.v13i1.10153

Abstract

He main research problem is how is community participation in environmental preservation efforts in the Korololama Village area District Petasia The aim of the research is to determine community participation in environmental conservation efforts in Korololama Village Qualitative research methods data collection techniques namely observation documentation and interviews Sample data collection was carried out purposively sampling and snowball with research informants namely community leaders village government and residents totaling 9 informants The research results show: 1 Forms of community participation in business conservation carried out in Korololama Village Patasia District Regency Morowali Central Sulawesi Province namely: Taking part in carrying out cleanliness environment take part in social work to organize the environment plant trees for reforestation and provide suggestions regarding conservation and donation efforts monetary donations 2 factors driving community participation in business conservation is carried out because of the role of community leaders there are benefits activities and there is population awareness for environmental preservation and 3 Business government measures carried out by the government to increase community participation in conservation efforts namely: providing guidance motivation and providing funds for environmental conservation activities < em>< p>
Struktur dan dinamika sektor ekonomi perkotaan: analisis basis ekonomi kota Kotamobagu tahun 2018-2022 Rifani, Irfan; Wenas, Richy Imanuel; Sangari, Imanuel Keygo; Leme, Renita; Putri, Anindya Puspita
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/7xv23p10

Abstract

Regional economic development requires understanding of economic structure and sectoral dynamics to formulate effective and sustainable policies. This study aims to analyze the economic structure and sectoral dynamics of Kotamobagu City by identifying base and non-base sectors and assessing their medium-term sustainability prospects. A descriptive quantitative approach was employed using Gross Regional Domestic Product (GRDP) data of Kotamobagu City and North Sulawesi Province at constant prices for the period 2018–2022. The analysis applied the Location Quotient (LQ) and Dynamic Location Quotient (DLQ) methods. The results indicate that Kotamobagu’s economy is dominated by service sectors, particularly public administration, financial services, social services, and construction, which function as base sectors. However, DLQ analysis reveals that not all base sectors exhibit sustainable growth prospects. Conversely, several non-base sectors demonstrate positive growth dynamics and potential role repositioning. These findings confirm that sectoral advantages are dynamic and cannot be adequately assessed using static approaches alone. This research provides a theoretical contribution to the development of regional economic analysis based on sectoral dynamics and serves as an empirical basis for the formulation of regional economic development strategies.
Training on Making Geography Problems Using Taxonomy of Spatial Thinking Syafrida Selafiardy; Irfan Rifani; Noova Jans Ester Mengko
DEVOTIONIS Volume 1, Issue 1, January 2024
Publisher : CV. TOTUS TUUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59397/dvs.v1i1.8

Abstract

Community service activities about training in making geography problems usingtaxonomy of spatial thinking at the high school education level are based on the lack of implementation of taxonomy of spatial thinking in the learning implementation plan and test problems. This makes the analysis of problem solving low, whereas the analysis of problem solving is the spatial ability of geography. This activity is not limited to training in making geography problems only, but also the application of spatial thinking problems up to evaluation and follow-up how the process has been done. In addition, the science and technology used to support this activity is the activity team will evaluate the problems commonly used by teachers at the time of the test, to then analyze how far the problems contain taxonomy of spatial thinking.
SEISMIC SITE QUALITY ASSESSMENT IN NORTH SUMATRA USING SPECTRAL DENSITY ANALYSIS AND MACHINE LEARNING-BASED CLUSTERING Triya Fachriyeni; Katherin Indriawati; Kevin W. Pakpahan; Irfan Rifani; Anne M. M. Sirait; Yusran Asnawi; Hendro Nugroho; Andrean V. H. Simanjuntak
Jurnal Geosaintek Vol. 11 No. 3 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v11i3.8972

Abstract

Seismic noise strongly influences the accuracy and reliability of earthquake monitoring, particularly in tectonically active regions such as North Sumatra. This study investigates the quality of seismic stations by analyzing noise characteristics using Power Spectral Density (PSD), Probability Density Functions (PDFs), and machine learning clustering. PSD was computed through the Fast Fourier Transform (FFT) and compared against the New High Noise Model (NHNM) and New Low Noise Model (NLNM) benchmarks. Noise variability was further quantified using PDFs, while fuzzy c-means (FCM) clustering was applied to classify temporal noise patterns. Results from the MUTSI seismic station demonstrate strong diurnal and weekly variability, with horizontal components (SHE and SHN) exhibiting significantly higher noise levels and fluctuations than the vertical component (SHZ). Noise amplitudes peaked during morning hours (06:00–09:00 UTC), correlating with anthropogenic activity, and decreased substantially at night, indicating that optimal recording conditions occur during late evening to early morning. FCM clustering identified five dominant noise regimes, separating stable low-noise baselines from sporadic high-noise anomalies likely associated with human activity or instrumental disturbances. These findings highlight the importance of integrating spectral analysis with clustering techniques to evaluate seismic station performance, improve real-time monitoring, and guide optimal site selection and operational scheduling for earthquake detection.
Co-Authors Adriana Wulan Tari Leisubun Andrean V. H. Simanjuntak Anggreani, Indri Anindya Puspita Putri Anindya Puspita Putri Anne M. M. Sirait Arief, Dian Vitaduri Bologi, Krisda Cahyadi Nugroho Denny Maliangkay Ellen Eva Poli Emanuel Estefanus Korompis Feisel Kristopel Rompas Fernandi Seni Banari Frits Ambarau Grystin Djein Sumilat Hendro Nugroho hermon karwur Hilda F Oroh Inayah Hidayati Joyce Christian Kumaat Kalvin Salindeho Andaria Katherin Indriawati Kevin W. Pakpahan Korompis, Emanuel Estefanus Kumaat, Jocye Christian Langi, Reka Tanduk Lausan, Juvia Anjel Leisubun, Adriana Wulan Tari Leme, Renita Mengko, Noova Jans Ester Muhamad Isa Ramadhan Muhamad Isa Ramadhan Muhamad Isa Ramadhan Noova Jans Ester Mengko Nugrohoa, Cahyadi Panggalo, Irra Ramadhan, Muhamad Isa Ruban, Engelberta Sagala, Yunita Sangari, Imanuel Keygo Selafiardy, Syafrida Selvana Treni Rosita Tewal Sri Sulastriningsih Suoth , Grace F. E. Syafrida Selafiardy Syafrida Selfiardy Syafrida Selfiardy Triya Fachriyeni Tumembouw, Anastaysa Natalia Jusia Wenas, Richy Imanuel Xaverius Erick Lobja Yusran Asnawi