Claim Missing Document
Check
Articles

Found 25 Documents
Search

Komparasi Fuzzy Logic Dan Matching Untuk Kesesuaian Lahan Permukiman Di Kecamatan Tanjung Gadang Kabupaten Sijunjung Rohani, Rohani; Frananda, Hendry
Jurnal Pendidikan Tambusai Vol. 9 No. 2 (2025): Agustus
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i2.30760

Abstract

Penelitian ini bertujuan: (1) Menganalisis kesesuaian lahan permukiman menggunakan metode fuzzy logic. (2) Menganalisis kesesuaian lahan permukiman menggunakan metode Matching. (3) Menganalisis perbandingan peta kesesuaian lahan permukiman metode fuzzy logic dan matching, serta evaluasi penggunaan lahan eksisting dan RTRW. Dalam analisis kesesuaian lahan permukiman menggunakan metode fuzzy logic dan Matching. Pengelompokan kesesuaian lahan pada fuzzy logic didasarkan pada variabel bahasa dengan fungsi keanggotaan dalam rentang 0 hingga 1. Sedangkan pada matching menilai kesesuaian lahan dengan membandingkan parameter lahan di suatu wilayah dengan kriteria yang telah ditentukan. Berdasarkan hasil analisis kesesuaian lahan menggunakan perbandingan dua metode yaitu fuzzy logic memiliki nilai akurasi 87,9%, dan matching memiliki nilai akurasi 67%. Sehingga analisis lanjutan untuk evaluasi penggunaan lahan permukiman dan RTRW kawasan permukiman menggunakan perbandingan dengan hasil analisis kesesuaian lahan permukiman metode fuzzy logic. Analisis overlay peta kesesuaian lahan permukiman menggunakan metode fuzzy logic dengan peta penggunaan lahan permukiman eksisting di Kecamatan Tanjung Gadang masih terdapat 29 Ha (10,4%) masuk kelas kesesuaian lahan permukiman N. Analisis overlay peta kesesuaian lahan permukiman metode fuzzy logic dengan peta RTRW peruntukan kawasan permukiman di Kecamatan Tanjung Gadang, terdapat 53 Ha (22,6%) masuk kelas kesesuaian lahan permukiman N.
Pembuatan Peta Timbul Sebagai Media Pembelajaran Geografi: Making Embossed Maps as Learning Media for Geography Chandra, Deded; Wilis, Ratna; Frananda, Hendry; Rahmi, Lailatur; Arif, Dian Adhetya; Wijayanto, Bayu; Putra, Aprizon
Pedagogia : Jurnal Pendidikan Vol. 8 No. 2 (2019): August
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pedagogia.v8i2.2139

Abstract

This article aims to improve the ability of teachers and students to make media maps arise and improve teacher understanding and ability in terms of understanding pedagogical aspects that can be seen from the process of designing a Learning Implementation Plan (LIP) especially in terms of choosing a model or learning method. This activity was held at SMAN 2 using training methods, question and answer, and practice. In accordance with the objectives of the implementation of the activity, it is expected that teachers and students have an increased ability in terms of mastery to make map media arise. Then the teacher can also improve the teacher's understanding/ability in terms of understanding pedagogical aspects that can be seen from the process of designing the LIP especially in terms of choosing a learning model. By carrying out training to improve teacher skills in developing learning media, Geography Teachers are expected to have sufficient competence in terms of designing and utilizing media so that quality learning is created.
Analisis Spasial Perubahan Fragmentasi Hutan pada Kawasan Penyangga di Cagar Alam Maninjau Azzakia, Habib; Frananda, Hendry
TSAQOFAH Vol 5 No 6 (2025): NOVEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i6.7099

Abstract

Forest fragmentation poses a significant threat to ecosystem sustainability, particularly in buffer zones that function to protect the core of conservation habitats. This study aims to analyze forest fragmentation changes in the Buffer Zone of the Maninjau Nature Reserve during the period 2006–2024 and to identify their driving factors. Landsat TM 5 and OLI 8 satellite imagery were processed using the Random Forest method on Google Earth Engine. Fragmentation analysis was conducted through landscape indices (Landscape Shape Index [LSI], Number of Patches [NP], Patch Density [PD], Edge Density [ED]) using the landscapemetrics packages in R Studio and Fragmentation using GIS Tools v2 in ArcGIS. Driving factors were examined within the Driving forces–Pressures–State–Impacts–Responses (DPSIR) framework, focusing on population growth and agricultural land expansion. The results reveal a significant decline in LSI, NP, PD, and ED values in edge areas, indicating habitat loss and the subdivision of forests into smaller patches. The reduction in large core areas in mountainous regions reflects consistent agricultural expansion over the years. Fragmentation transition analysis confirms the continuous loss of forest cover, particularly in edge zones. Key driving factors include population growth, which increases the demand for residential land, and extensive agricultural expansion, particularly oil palm plantations that converts forests into degraded lands. These findings highlight the importance of integrated landscape management to reduce deforestation and maintain the ecological functions of buffer zones.
THE MAPPING OF TEA HARVESTING AREA USING PLANETSCOPE IMAGERY Wikan Jaya Prihantarto; Muhammad Ismail; Eva Purnamasari; Kurnia Anggraini; Erisa Ayu Waspadi Putri; Hendry Frananda; Indah Setiawati
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.95

Abstract

The identification of tea harvesting areas is an important part of tea culture. The use of satellite imagery for this application offers effectiveness. PlanetScope imagery has the advantage of high spatial, spectral, and temporal resolution and is widely used in agricultural and plantation studies. The objective of this study was to map tea pruning areas in the Danau Kembar Tea Plantation, Solok Regency, West Sumatra, using PlanetScope imagery. The images underwent radiometric, geometric correction and were then analyzed spectrally using the Normalized Difference Vegetation Index (NDVI) to obtain tea vegetation density classes. The image map resulting from this classification was used to identify the spatial distribution of harvesting and non-harvesting areas. The mapping results were validated by field surveys, and accuracy calculations were performed using the confusion matrix method. The findings showed that 250.50 hectares or 90.37% of the study area, are harvesting areas, with mapping accuracy reaching 84.0%. This study can provide an important reference for monitoring plantation land management, production estimation, and tea harvesting.
Pemetaan Dampak Banjir Bandang terhadap Lahan Pertanian di Nagari Pauh Kamang Mudiak Kabupaten Agam Anisa Fatihah; Hendry Frananda
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 2 (2026): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v4i2.963

Abstract

The objectives of the study are: 1) To analyze the level of vulnerability of agricultural land to flash floods in Nagari Pauh Kamang Mudiak, 2) To analyze the condition of agricultural land in Nagari Pauh Kamang Mudiak before and after the flash flood. The results of this study: 1) Analysis of the level of vulnerability of agricultural land to flash floods in Nagari Pauh Kamang Mudiak, namely in the safe class covering an area of 8.34 hectares, the non-vulnerable class covering an area of 12.01 hectares, the vulnerable class covering an area of 51.91 hectares and the very vulnerable class covering an area of 18.13 hectares. This shows that most of the research areas have a high level of vulnerability to flash floods. Furthermore, the analysis of flash flood risks with 4 risk classifications is an area with a low risk of 16.94 hectares, a moderate area of 30.60 hectares, a high area of 37.78 hectares, and a very high area of 5.07 hectares. Based on the results of this analysis, the agricultural land most affected by the flash flood in Nagari Pauh Kamang Mudiak is rice fields covering an area of 72.2 hectares, 2) Analysis of the condition of agricultural land vegetation in Nagari Pauh Kamang Mudiak before and after the flash flood, namely with 5 classes, namely the very low greenness class covering an area of 12.69 hectares, low covering an area of 29.69 hectares, medium covering an area of 13.22 hectares, and high covering an area of 34.84 hectares. The results of the accuracy test using overall accuracy reached a suitability of 89.58% and the kappa coefficient reached a suitability of 84.32%, meaning good accuracysuitability between the classification results and actual conditions in the field.