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EDUKASI PEMBUATAN PETA POTENSI SEKTOR PERTANIAN BERBASIS PARTISIPATIF BAGI MASYARAKAT DI DESA BATU TANJUNG KOTA SAWAHLUNTO Fadli Irsyad; Delvi Yanti
BULETIN ILMIAH NAGARI MEMBANGUN Vol. 7 No. 2 (2024)
Publisher : LPPM (Institute for Research and Community Services) Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/bina.v7i2.582

Abstract

Batu Tanjung Village is located in Sawahlunto City, West Sumatra, which is better known as coal mines village. Therefore, its agricultural and livestock potential has not been developed and utilized optimally. Generally, the people work as farmers, however they do not know in detail about the potential of the agricultural and livestock sectors. This community service activity aimed to (1) explore the actual potential of the agricultural sector, and (2) mapping the potential of the agricultural sector on participatory base and GIS. The methods used in this activity were survey of agricultural potential, participatory mapping using the Participatory Rural Appraisal (PRA) method, SWOT analysis for developing strategies of agricultural and livestock sectors. The results of this activity show the superior potential of the village, namely rice (320 ha), rubber (76 ha), cocoa (9 ha), coconut (32 ha), and areca nut (35 ha). The potential for the food sector is almost evenly distributed in all hamlets in Batu Tanjung Village. Some of the leading potentials in the livestock sector in Batu Tanjung Village are buffalo (239), cows (141), purebred chickens (6264) and quail (996). The conclution of this activity shown the potential of the village's agricultural and plantation sectors, namely rice, corn, rubber, cocoa, areca nut and coconut which are spread throughout all hamlets in Batu Tanjung Village. The potential for the livestock sector are buffalo, cows and laying hens. Furthermore, this activity also produced a potential map of the agricultural, plantation and livestock sectors of Batu Tanjung Village with a scale of 1:120 and was submitted to the Head of Village.
Analisis Kekeringan Kecamatan Rambatan Menggunakan Metode Temperature Vegetation Dryness Index (TVDI) Ramadhan, Maulanarendra; Yanti, Nika Rahma; Irsyad, Fadli; Arlius, Feri
Jurnal Research Ilmu Pertanian Vol. 6 No. 1 (2026): Jurnal Research Ilmu Pertanian (Februari 2026)
Publisher : Fakultas Pertanian, Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/0dpcr975

Abstract

Kekeringan merupakan peristiwa alam yang menyebabkan berkurangnya ketersediaan air pada suatu wilayah dalam kurun waktu tertentu. Tanaman yang tidak mendapat cukup air akan menghambat pertumbuhan tanaman hingga menimbulkan gagal panen. Salah satu indeks yang dapat menunjukkan tingkat kekeringan dengan memanfaatkan data penginderaan jauh adalah TVDI (Temperature Vegetation Dryness Indeks). TVDI merupakan teknik untuk menghitung indeks kekeringan menggunakan data penginderaan jauh dan pantulan spektral. Indeks TVDI memanfaatkan hubungan antara nilai NDVI (Normalized Difference Vegetation Indeks) dengan LST (Land Surface Temperature). Penelitian ini bertujuan untuk mengidentifikasi tingkat kekeringan lahan di Kecamatan Rambatan, Kabupaten Tanah Datar tahun 2020-2024 berdasarkan perubahan nilai NDVI dan LST. Nilai TVDI tertinggi penggunaan lahan terdapat pada sawah dengan nilai 0,54. Sebaran kekeringan dengan kategori kering terbanyak terjadi pada tahun 2022 dengan luasan 254,51 Ha; kategori agak kering 2273,91 Ha; kategori normal 4426,78 Ha; kategori agak basah 2309,77 Ha; kategori basah 221,20 Ha dengan nilai indeks TVDI 0,49.
Analisis Sebaran Debu Jatuh Padang Industrial Park (PIP) Menggunakan Dustfall Canister Rusnam, Rusnam; Nurmala, Nurmala; Irsyad, Fadli; Dasril, Cintya Junia
Jurnal Sumberdaya Alam dan Lingkungan Vol 12, No 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jsal.2025.012.03.4

Abstract

ABSTRAK  Kawasan industri merupakan penyumbang polusi udara terbesar, salah satu kawasan industri yang berdiri berdampingan dengan kawasan pertanian ialah Padang Industrial Park (PIP). Penelitian ini bertujuan untuk menganalisis sebaran polusi udara yang ada di Padang Industrial Park (PIP), menggunakan metode Dustfall Canister serta metode analisis yang digunakan ialah Gravimetri untuk mendapatkan konsentrasi dari debu jatuh. Selanjutnya dilakukan analisis lanjutan dari pengaruh debu jatuh pada kesehatan tanaman dengan menggunakan nilai Air Pollution Tolerance Index (APTI) untuk menuntukan toleransi tanaman terhadap polusi udara. Hasil yang diperoleh dari 9 titik sampel yang terdiri dari komoditi jagung dan padi, didapatkan nilai APTInya berada pada kategori sensitif. Hal ini menandakan komoditi jagung dan padi yang hidup di sekitar kawasan Padang Industrial Park (PIP) memiliki toleransi yang rendah terhadap polusi udara. Selanjutnya, konsentrasi tertinggi debu jatuh yang didapatkan selama 14 hari berada pada titik sampel 2 berjumlah 7,3516 ton/km2/bulan, nilai ini tidak melebihi standar baku mutu yang diperuntukan pada kawasan pemukiman. Sehingga, kualitas udara yang berada di kawasan industri Padang Industrial Park (PIP) termasuk pada kategori baik, namun perlu dilakukan pemantauan secara berkala. Kata kunci: APTI, debu jatuh, gravimetri, jagung, padi ABSTRACT Industrial areas are the largest contributors to air pollution, one of the industrial areas that stands side by side with agricultural areas is Padang Industrial Park (PIP). This study aims to analyze the distribution of air pollution in Padang Industrial Park (PIP), using the Dustfall Canister method and the analysis method used is Gravimetry to obtain the concentration of falling dust. Furthermore, further analysis was carried out on the effect of falling dust on plant health using the Air Pollution Tolerance Index (APTI) value to determine plant tolerance to air pollution. The results obtained from 9 sample points consisting of corn and rice commodities, the APTI value was found to be in the sensitive category. This indicates that corn and rice commodities that grow around the Padang Industrial Park (PIP) area have a low tolerance to air pollution. Furthermore, the highest concentration of falling dust obtained for 14 days was at sample point 2 amounting to 7.3516 tons/km2/month, this value does not exceed the quality standards intended for residential areas. Thus, the air quality in the Padang Industrial Park (PIP) industrial area is included in the good category, but regular monitoring is necessary. Keywords:  APTI, corn, dustfall, gravimetri, rice
Monitoring Manajemen Irigasi Pada Budidaya Melon Berbasis IoT Irsyad, Fadli; Agustoria, Khairil
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 14 No 1 (2026): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jrpb.v14i1.1231

Abstract

Uncertainty in irrigation water supply in agricultural land is often one of the main factors causing a decline in crop production capacity. Manual irrigation not only requires additional labor but also consumes considerable time, thereby reducing farmers’ work efficiency. Therefore, innovations are needed in the form of a more modern, efficient irrigation system capable of adjusting to crop requirements in real time. The main objective of this study is to develop a drip irrigation monitoring and control system based on the Internet of Things (IoT) to meet the water and nutrient needs of melon plants. The designed system utilizes a capacitive soil moisture sensor, a soil pH sensor, and a DHT-22 temperature and humidity sensor. All sensors are connected to an ESP32 microcontroller, which processes the data and automatically transmits it to a spreadsheet application for recording and monitoring purposes. The fertigation system has dimensions of 510 × 150 cm and applies drip irrigation technology controlled automatically based on soil moisture and soil acidity (pH) values. The results of the correlation analysis showed that the average coefficients of determination (R²) for the soil moisture sensor, soil pH sensor, and DHT-22 sensor were 0.8395, 0.9896, and 0.984, respectively. Plant observations indicated that the average plant height in the automated system was 48.19 cm, which was higher than the control plants at 43.69 cm. Thus, the IoT-based fertigation system proved to operate effectively, more efficiently, and with better performance compared to conventional methods.
Determination of Superior Agricultural Commodity Areas Based on Historical Data and Land Suitability Alfina Zukhrifa; Fadli Irsyad; Delvi Yanti
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.701-713

Abstract

Analysis and identification of superior agricultural commodity areas play a crucial role in determining regions with high potential for agricultural development. This study aims to identify priority agricultural commodities and assess their development potential in Lawang, Matur District, Agam Regency, West Sumatra Province. The research was conducted in several stages. First, superior agricultural commodities were identified using the Location Quotient (LQ) and Shift Share Analysis (SSA) methods. Second, the potential development areas for these commodities were determined using the Analytical Hierarchy Process (AHP) and Weighted Linear Combination (WLC) approach, integrated with Geographic Information System (GIS) analysis. The results indicate that the priority agricultural commodities in Nagari Lawang are peanuts for the food crop subsector, shallots for the horticulture subsector, and sugarcane for the plantation subsector. These findings provide valuable information for policymakers and local farmers to optimize land use, enhance agricultural productivity, and support sustainable rural economic development. Furthemore, the methodology used in this study can also be applied to other regions to identify superior agricultural commodities.Keywords: Analytical hierarchy process, Leading commodities, Location quotient, Shift share analysis, Weight linear combination.