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All Journal Indonesian Journal of Geography Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian JURNAL ILMIAH GEOMATIKA MAJALAH ILMIAH GLOBE Sumatra Journal of Disaster, Geography and Geography Education Jurnal Geografi JURNAL BUANA JURNAL PENDIDIKAN TAMBUSAI BHUMI: Jurnal Agraria dan Pertanahan Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Civil Engineering Collaboration El-Jughrafiyah : Jurnal Geografi dan Terapannya YASIN: Jurnal Pendidikan dan Sosial Budaya Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi Jurnal Geosains West Science Asian Journal of Early Childhood and Elementary Education Jurnal Buana Journal of Innovative and Creativity Geadidaktika JURNAL BUANA
Yulfa, Arie
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Aplikasi Location Based-Service (LBS) Berbasis Android Untuk Mengetahui Informasi Nilai Tanah di Zona Bahaya Tsunami Havez Al Asad, M.; Yulfa, Arie
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tujuan dari penelitian ini adalah terciptanya sebuah Aplikasi berbasis Android untuk mengetahui informasi nilai tanah khususnya pada Zona Bahaya Tsunami di Kota Padang. sehingga nantinya transparansi dan informasi pertanahan yang dibutuhkan masyarkat dapat terpublikasi dengan baik. Melalui bantuan Location Based Service (LBS) dan teknologi Google Maps yang akan membantu mengetahui informasi tanah ke dalam smartphone sesuai dengan lokasi rel-time. Aplikasi yang dihasilkan ini menggunakan metode System Development Life Recycle (SDLC), dengan model pengembangan Prototype. SDLC mencakup beberapa tahapan yang harus dilalui, mulai dari perencanaan, analisis, desain, implementasi, pengujian, dan pemeliharaan. Sedangkan untuk pengembangan prototype sendiri dilakukan untuk memenuhi kebutuhan sistem, agar pengembang dan pengguna dapat dapat saling berinteraksi dan memberikan masukan satu sama lain selama pembuatan aplikasi. Oleh karena itu, untuk mencapai tujuan tersebut maka diperlukannya sebuah aplikasi Location Based Service (LBS) untuk merangkum informasi tanah pada lokasi yang ditentukan yang dinamakan dengan aplikasi “Cek Tanahku”.
PEMETAAN PARTISIPATIF DI TANAH ADAT (Studi Kasus Tanah Ulayat Nagari Bidar Alam Kabupaten Solok Selatan) Putra, Randu Prayoga; Yulfa, Arie
JURNAL BUANA Vol 10 No 1 (2026)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol10-iss1/2814

Abstract

This research aims to. 1) conduct participatory mapping of customary land in Nagari Bidar Alam. 2) classifying Bidar Alam's customary land use. This type of research is a combination of qualitative and quantitative research. Primary data was obtained from FGD with the Bidar Alam community. The tracking data is processed using arcGIS 10.3. The results of this study are: 1) The customary land in Nagari Bidar Alam has an area of ​​100.84 Ha. Which consists of 4 tribes, namely the Kampai tribe covering an area of ​​43.23 hectares, Malays covering an area of ​​33.75 hectares, Kuti Anyir covering an area of ​​6.18 hectares, and Tigo Lareh covering an area of ​​17.66 hectares. 2) The results of the classification of land use on customary lands consist of plantations with an area of ​​99.99 ha with a percentage of 99.18% which is dominated by oil palm plantations. Settlements have an area of ​​0.03 ha which are located in the ulayat of the Malays with a percentage of 0.01%. Meanwhile, Semak Scrub is spread among the Kampai, Malay, and Kuti Anyir tribes and has an area of ​​0.08 ha with a percentage of 0.79%.
Analisis Kerapatan Vegetasi Untuk Kawasan Ruang Terbuka Hijau Tahun 2015-2020 Di Kota Bengkulu Sihite, Hana Pebrina; Yulfa, Arie
JURNAL BUANA Vol 10 No 1 (2026)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol10-iss1/2924

Abstract

The purpose of this study was to determine the vegetation density, availability of green open space, and changes in vegetation density for green open space in Bengkulu City in 2015 and 2022. The method used in this study applied NDVI analysis. The results of the study show that: (1) Based on the land area of ​​​​vegetation density in Bengkulu City in 2015 the vegetation density was dominated by medium density which had an area of ​​5,613.35 ha (42.41%). In 2022 the vegetation density is dominated by low density with an area of ​​4,580.45 ha (34.61%). (2) The availability of green open space in 2015 was 8,574 ha and in 2022 it was 8,299 ha. (3) Changes in the area of ​​vegetation density for green open spaces from 2015 to 2020 decreased by 767 ha. (4) The results of the NDVI accuracy test with the Confusion Matrix technique, obtained an accuracy of 80%, there has been a reduction in information due to cloud cover in 2022.
Analisis Spasio Temporal Dampak Banjir Bandang Berbasis Crowdsourcing di Kecamatan Pauh Muhammad Farras Alfisar; Arie Yulfa
Journal of Innovative and Creativity (Joecy) Vol. 6 No. 2 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i2.12513

Abstract

Hydrometeorological disasters continue to increase, both in frequency and intensity, thereby necessitating rapid disaster information with high spatial resolution. Official data often requires a lengthy verification process, making it unable to fully capture on-the-ground conditions in detail at the time of the event. This study analyzes the spatiotemporal patterns of flash flood impacts based on Instagram crowdsourced data from the Pauh, Padang City. The method used is quantitative descriptive analysis, utilizing posts during the disaster period. The data was validated based on time, location, and content relevance, then analyzed using a Geographic Information System. The results show that Instagram is capable of recording the distribution of affected areas, the progression of disaster conditions, and community dynamics from the event phase through the post-disaster phase in a rapid, detailed, and contextual manner.
Visualisasi Pemetaan 3D Tsunami di Kelurahan Air Tawar Barat Kota Padang Alfabiansyah Sean Fathia Ilham; Arie Yulfa
Jurnal Geosains West Science Vol 3 No 03 (2025): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v3i03.2702

Abstract

Penelitian ini bertujuan untuk memvisualisasikan dampak tsunami di Kelurahan Air Tawar Barat, Kota Padang dengan menggunakan model 3D berbasis pemetaan digital. Metode yang digunakan meliputi analisis spasial dengan overlay parameter kerawanan tsunami dan simulasi numerik menggunakan perangkat lunak Tunami-N3. Parameter yang digunakan mencakup elevasi tanah, kemiringan lereng, penggunaan lahan, jarak dari pantai, dan jarak dari sungai. Hasil simulasi menunjukkan bahwa skenario gempa 8,9 Mw di zona megathrust Mentawai-Siberut dapat menghasilkan gelombang tsunami setinggi 12 meter dengan jarak inundasi hingga 11,3 km. Peta kerentanan tsunami yang dihasilkan menunjukkan bahwa wilayah penelitian terbagi dalam empat kategori: aman (13 ha), cukup rentan (427 ha), rentan (399 ha), dan sangat rentan (8 ha). Visualisasi 3D dengan QGIS dan Blender memberikan gambaran interaktif mengenai area terdampak, sehingga dapat digunakan sebagai media edukasi dan mitigasi bencana.
Pemetaan Kawasan Kebakaran Hutan di Kabupaten Muaro Jambi Menggunakan Metode Differenced Normalized Burn Ratio Berbasis Google Earth Engine Salwa Azzahra; Arie Yulfa
Jurnal Geosains West Science Vol 4 No 02 (2026): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v4i02.3512

Abstract

Kebakaran hutan dan lahan di Kabupaten Muaro Jambi memicu kerusakan lingkungan yang sangat besar, terkhusus pada jenis lahan gambut. Penelitian ini bertujuan untuk menganalisis luas area terdampak dan tingkat keparahan kebakaran dari tahun 2015 sampai 2025 dan mengevaluasi batasan teknis akurasi skala pada citra sentinel 2 di Google Earth Engine. Penelitian menggunakan metode analisis penginderaan jauh melalui indeks selisih ratio pembakaran ternormalisasi dari citra sentinel 2 pada Google Earth Engine. Pengujian akurasi menggunakan confusion matrix dengan perhitungan overall accuracy dan koefisien kappa. Hasil luasan menunjukan bahwa kebakaran tinggi terjadi di tahun 2015 sebesar 3.100 Ha dan Kembali tinggi pada tahun 2024, 2025 sebesar 1.500 Ha. Kelas yang mendominasi kebakaran berada di kategori rendah hingga sedang. Hasil akurasi memperoleh 87,2% pada 2015 dan 92,8% pada tahun 2025. Pembaruan pada penelitian ini terletak pada pemanfaatan Google Earth Engine untuk analisis berbasis dNBR di Kabupaten Muaro Jambi. Hasil penelitian diharapkan dapat mendukung pemantauan kebakaran hutan secara efektif.
Precision and Paradigm Shift: Transforming Land and Building Tax Assessment Through Uav-Lidar Derived High-Resolution 3d Spatial Data Arie Yulfa; Muhammad Giatman; Syarief, Azhari; Ramadhan, Risky; Zikra, Afdhal
Sumatra Journal of Disaster, Geography and Geography Education Vol. 10 No. 1 (2026): Sumatra Journal of Disaster, Geography and Geography Education (June Edition)
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sjdgge.v10i1.730

Abstract

The conventional Land and Building Tax (PBB) evaluation methods in Indonesia, namely in Baso District, Agam Regency, depend on two-dimensional measures with accuracy rates ranging from 85% to 95%, resulting in possible revenue deficits and assessment inconsistencies. This work seeks to create and execute a more precise tax assessment system utilizing high-resolution 3D spatial data obtained by UAV-LiDAR technology. The study utilizes a quantitative applied methodology, employing a DJI Matrice 350 RTK outfitted with LiDAR sensors for data acquisition. Data processing with DJI Terra and TerraSolid software produces Digital Terrain Models (DTM) and Digital Surface Models (DSM), facilitating accurate land boundary delineation and 3D building digitization. The findings indicate a substantial enhancement in spatial measuring accuracy, attaining 97-99% precision relative to traditional approaches. The implementation facilitates thorough property evaluation via precise measurements of building heights, volumes, and land areas, thereby offering a more dependable foundation for tax computations. The study suggests that, despite constraints including elevated initial costs and training demands, the inclusion of UAV-LiDAR technology significantly improves the accuracy, efficiency, and transparency of PBB assessments, representing a notable improvement in contemporary property tax administration systems.
Analisis Lokasi Satuan Pelayanan Pemenuhan Gizi (SPPG) Berbasis Pemodelan Sistem Informasi Geografis Menggunakan Network Analysis di Kecamatan Padang Utara Fauziana Zahra; Arie Yulfa
Journal of Innovative and Creativity (Joecy) Vol. 6 No. 2 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i2.12938

Abstract

Program Makan Bergizi Gratis (MBG) merupakan salah satu inisiatif nasional strategis Indonesia yang bertujuan untuk meningkatkan status gizi anak dan mendukung pengembangan sumber daya manusia yang berkualitas tinggi. Keberhasilan program ini tidak hanya bergantung pada kualitas makanan, tetapi juga pada efisiensi spasial sistem distribusi Unit Satuan Pelayanan Pemenuhan Gizi (SPPG). Studi ini bertujuan untuk menganalisis distribusi spasial SPPG dan sekolah penerima manfaat serta menentukan rute distribusi terdekat menggunakan Sistem Informasi Geografis (SIG) melalui pendekatan Analisis Jaringan Network Analysis di Kecamatan Padang Utara, Kota Padang. Penelitian ini menggunakan pendekatan deskriptif kuantitatif dengan analisis spasial. Data spasial sekunder dikumpulkan dari peta batas administrasi, jaringan jalan, lokasi SPPG, dan lokasi fasilitas pendidikan. Metode Closest Facility yang tersedia dalam ArcGIS Network Analyst diterapkan untuk menentukan rute terpendek dan tercepat dari setiap SPPG menuju sekolah penerima manfaat berdasarkan jaringan jalan aktual. Hasil penelitian menunjukkan bahwa distribusi SPPG telah menjangkau seluruh sekolah penerima manfaat di Kecamatan Padang Utara. Ada 10 unit SPPG yang berada dikecamtan Padang Utara, Namun dari 10 SPPG hanya 9 SPPG yang bersetatus aktif, yang belum aktif SPPG Alai Parak Kopi 3, SPPG dengan pelayanan terbesar melayani 14 sekolah SPPG Air Tawar Barat 1, aksesibilitas antar-sekolah bervariasi tergantung pada lokasi spasial dan konektivitas jaringan jalan. Sekolah yang terletak di dekat jalan arteri dan kolektor memiliki waktu tempuh yang lebih singkat, sedangkan sekolah yang berada di kawasan permukiman padat mengalami waktu tempuh yang relatif lebih lama akibat keterbatasan hierarki jalan. Analisis Jaringan berhasil mengidentifikasi rute distribusi paling efisien yang meminimalkan jarak tempuh dan waktu pengiriman sembari tetap menjaga kualitas makanan selama proses transportasi. studi ini menunjukkan bahwa Sistem Informasi Geografis yang diintegrasikan dengan Analisis Jaringan menyediakan alat pendukung keputusan yang efektif untuk perencanaan fasilitas gizi masyarakat. Temuan ini dapat membantu pemerintah daerah dalam mengoptimalkan sistem distribusi SPPG dan meningkatkan efektivitas Program Makan Bergizi Gratis.
Optimalisasi ANN-MLP dengan GridSearch-CV untuk Klasifikasi Tutupan Lahan Perkotaan Menggunakan Sentinel-2 Mayhendra Daud Sihaloho; Arie Yulfa
GEADIDAKTIKA Vol 5, No 2 (2025): Geadidaktika Agustus 2025
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/gea.v5i2.105095

Abstract

Accurate land cover classification is essential for sustainable urban planning and management. This study optimizes the Artificial Neural Network Multi-Layer Perceptron (ANN-MLP) model using GridSearchCV and Sentinel-2 imagery to classify urban land cover in Padang City. Based on 500 samples across five land cover classes and validated with high-resolution imagery, the optimized model achieved 97% accuracy and a Kappa value of 96.25%. These results highlight the effectiveness of hyperparameter optimization in improving classification performance while offering practical contributions for local governments, including mapping urban growth, identifying land-use changes, guiding development according to environmental capacity, and strengthening data-driven spatial planning policies. The proposed approach can also be replicated in other regions with similar characteristics.
SIG WEB PUSAT-PUSAT LAYANAN PEMERIKSAAN COVID-19 DI KOTA PADANG Ade Perdana Putra; Arie Yulfa
JURNAL BUANA Vol 10 No 2 (2026)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol10-iss2/2823

Abstract

This study aims to find out: 1) The process of designing and developing a data management system for the Covid-19 Health Health Service Facility in the City of Padang based on a web GIS. 2) The quality of the system developed is based on the web quality and web application assessment standards from WEBQEM. This research was conducted using a research and development approach. This type of research is classified as mixed research (Mix Method) because in the system development process the waterfall development methodology and qualitative approach are used in the system quality testing process. The results of this study resulted in: 1) A system that can manage data on health facilities for Covid-19 examinations in the City of Padang and users who can manage the system, application demos can be viewed at the address http://fasyankescovid-19padang.my.id/ 2) The system built has met the quality of a system based on the standardized quality assessment of websites and WEBQEM web applications. The conclusion is based on the results of the system testing which includes several tests: 1) the functionality test on this variable gets a final value of 1, which means the system has good functionality. 2) reliability testing on this variable using the LOADER.IO application where the results of the percentage of stress tests carried out on the system by charging 30 users traffic in 1 minute with a success rate of 98 and failure 0 and the average system response time of 1698ms, based on these results the system has met the standards in the aspect of reliability. 3) efficiency testing on this variable using GTMatrix software which produces an average value of 84.6 and the average grade obtained is B with an average response time to the server of 1.5ms. 4) this usability test gets a percentage of 91.3% which indicates the system has met the usability aspect standards.
Co-Authors Abel Tasman Ade Perdana Putra Adek Andreas Adinda Putri Aditya, Trias Ainiyah Imaarah Akram, Naufal Muhammad Alfabiansyah Sean Fathia Ilham Alfin Oktary Alfisar, Muhammad Farras Alvia, Rosalina Amor, Giant andre, bhareta Andri Ferriansyah Anggun Myanti Fitri ARDIANSYAH, ANDRE Aulia Rahmaini Azhari Syarief Bayu Wijayanto Beben Graha Putra Bella Aprillia Bevan Eka Pramudito Bigharta Bekti Susetyo Dedi Hermon Dian Adhetya Arif Edrinaldi Edrinaldi Ernawati Ernawati Erniwati Erniwati Fahen Dayanda Farhan Mursyid Fauziana Zahra Feri Ferdian Ferriansyah, Andri Fica Fadhilia Sanny firdaus ramadani Firma Maulidna Fungky Novendri Giant Amor Havez Al Asad, M. Helfia Edial Hendra Naldi Henzulkifli Rahman Ibniul Husna Ibrahim Sayfuddin ikhlas, fahmi yasir ilham yuhanda Illahi, Manisa Rahmi Indah Purwati Kessy Nofrelia Khairul Nizam Khairul Nizam KHAIRUL ZIKRI Kusmiarto, Kusmiarto M. Mursyid Al Fahri M. Mursyid Alfahri MARIA BINTANG Marta Poli Zulva Mayhendra Daud Sihaloho Mega Nurhidayanti Mendra Saputra Miqdam Kharisma Okli Yuanda Muhammad Farras Alfisar Muhammad Giatman Mustofa, Fahmi Charish Natasya Febriani Prabowo, Rizky Putra, Randu Prayoga Rahayu Fadila Rahayu Lestari Rahmaini, Aulia Rahmat Alfayat rahmat ilham 125 Rahmat Rafif Rajwa Febalismanriva Ramadhan, Risky Ramona Zeka Putri Randa Rozian Ratna Wilis Rizky Oktaviandra Salwa Azzahra Saumia, Zulfa Sepiati, Dian Sihite, Hana Pebrina Silvi Widya Rahmi Siregar, Dina Khoriah Sri Ayu Novriawati Surtani Surtani Sutanta, Heri Syafri Anwar Syafril, Rizki Syafrina, Yelda Syahar, fitriana Taufikri Taufikri Thuba Imam Fauzi tio buana putra Titin Shartinah Triyatno Try yani Haryani Ulya Putra Kazurna Wahyu Hidayat Yaseen, Egita Yudi Antomi yuhanda, ilham Zikra, Afdhal