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Pengaruh Aplikasi Biochar Limbah Kulit Pinang Dosis Rendah terhadap Sifat Kimia Inceptisol Maidia Solfianti; Herviyanti Herviyanti; Teguh Budi Prasetyo; Amsar Maulana
Agrikultura Vol 32, No 1 (2021): April, 2021
Publisher : Fakultas Pertanian Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/agrikultura.v32i1.32602

Abstract

Saat ini mulai berkembang pemanfaatan limbah organik pertanian untuk dijadikan biochar sebagai bahan pembenah tanah alternatif dan upaya mengurangi dampak negatif limbah atau sampah di lingkungan. Tujuan penelitian ini adalah untuk mendapatkan dosis biochar terbaik dalam memperbaiki beberapa sifat kimia tanah Inceptisol. Penelitian ini menggunakan Rancangan Acak Lengkap dengan 5 perlakuan dan 3 ulangan yaitu: A = 0 t/ha (0,00 g/500 g tanah), B = 5 t/ha (1,25 g/500 g tanah), C = 10 t/ha (2,50 g/500 g tanah), D = 15 t/ha (3,75 g/500 g tanah), dan E = 20 t/ha (5,00 g/500 g tanah). Hasil penelitian menunjukkan bahwa dosis 20 t/ha biochar kulit buah pinang berpengaruh sangat nyata terhadap peningkatan pH, C Organik, P- tersedia, KTK, N- total, K-dd, Ca-dd dan Mg-dd yaitu masing-masing sebesar 0,14 unit, 0,93%, 18,87 ppm, 21,32 cmol(+)/kg, 0,2%, 0,66 cmol(+)/kg, 1,17 cmol(+)/kg, dan 1,91 cmol(+)/kg dibandingkan dengan kontrol.
PENGARUH APLIKASI HERBISIDA GROMOXONE 276 SL (LARUT) TERHADAP SIFAT KIMIA INCEPTISOL Maidia Solfianti; Amsar Maulana; H Herviyanti; Teguh Budi Prasetyo
Jurnal Tanah dan Sumberdaya Lahan Vol. 8 No. 2 (2021)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1035.925 KB) | DOI: 10.21776/ub.jtsl.2021.008.2.1

Abstract

Gromoxone 267 SL Herbicide (GH) is widely used in weed control, and its contamination in the soil has the potential for contamination in agricultural land. The purpose of this study was to explore the effect of the application of soluble Gromoxone 267 SL herbicide on changes in the chemical properties of Inceptisols. This study used a completely randomized design with 4 treatments and 3 replications, namely A = 0% R (0.00 mL GH 7.34 mL H2O); B = 50% R (0.03 mL GH 7.34 mL-1 H2O); C = 100% R (0.06 mL-1 HG 7.34 mL-1 H2O) and D = 150% R (0.09 mL HG 7.34 mL-1 H2O), where 100% recommended soluble Gromoxone 267 SL herbicide (soluble) is assumed to be equivalent to (~) 100% Paraquat Dichloride (276 g L-1) in the Gromoxone 267 SL herbicide. The results of this study showed that 150% application of the recommended soluble Gromoxone 267 SL herbicide had a very significant effect on reducing CEC, total N, K, Ca and Mg-dd. It also had a significant effect on organic C and N of Inceptisols compared with control or without application of Gromoxone 267 SL herbicide.
Implementation of Simple and Weighted Moving Average for Forecasting Tela-Tela Production in MSME X Sariati, Sariati; Pratama, Borneo Satria; Albar, Ferdy; Sitio, Dea Yolanda Putri; Riandry, Dimas Dwika; Antonio, Marcho; Januarti, Sri; Aliansyah, Bayu Rimba; Sutignya, Th. Candra Wasis Agung; Solfianti, Maidia; Erwan, Erwan; Sembiring, Loko Jeremia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5205

Abstract

Accurate production forecasting is essential for micro, small, and medium enterprises (MSMEs) to support effective production planning, inventory control, and decision-making. This study evaluates the performance of the Simple Moving Average (SMA) and Weighted Moving Average (WMA) methods in forecasting tela-tela production demand at MSME X using different historical period lengths. Production data from November 2023 to October 2024 were analyzed, and forecasting accuracy was assessed using the Mean Absolute Percentage Error (MAPE). The results indicate that forecasting accuracy varies depending on both the length of the moving average period and the weighting scheme applied. The WMA model with a 4-period window (n = 4) achieved the highest accuracy, producing the lowest MAPE value of 8.36%, which is classified as highly accurate. The SMA model with n = 4 also demonstrated good performance, with a MAPE value of 14.40%. Meanwhile, models employing longer historical periods (n = 8) yielded MAPE values of 16.20% for WMA and 19.82% for SMA, both falling within the good forecasting performance category but exhibiting lower responsiveness to recent demand changes. These findings highlight that shorter historical periods, when combined with appropriate weighting, can more effectively capture recent demand patterns in dynamic production environments. Accordingly, the WMA method with a 4-period window is recommended for MSME X as a reliable and accurate approach to support production planning, optimize resource allocation, and reduce the risk of overproduction or stock shortages.  
The Evaluation of Land Suitability for Arabica Coffee Cultivation (Coffea arabica L.) in Nagari Koto Gadang Guguk, Solok Regency, West Sumatra Maidia Solfianti; Gunadi Gunadi
Jurnal Solum Vol 23 No 1 (2026)
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jsolum.v23i1.315

Abstract

Arabica coffee (Coffea arabica L.) is one of the high economic value plantation commodities, where the level of production is largely determined by land suitability. Scientific information related to specific land suitability in potential areas, such as Solok Regency, is still minimal. This research was conducted in Nagari Koto Gadang Guguk, Gunung Talang District, West Sumatra, with the aim of assessing the level of land suitability for Arabica coffee cultivation. The research was conducted from August to November 2024 through field surveys, laboratory analysis, and Geographic Information System (GIS)-based mapping at a scale of 1:50,000. Analysis included soil physical characteristics (texture, effective depth, drainage), chemical properties (pH, organic carbon, cation exchange capacity, base saturation), as well as topography and climate factors. Results showed that the study land was dominated by dusty loam to dusty clay textures with medium to high C-organic content (2.68-3.12%), slightly acidic pH (5.50-6.18), medium-high CEC values (21.53-32.54 cmol kg-¹), and base saturation of 42.53-68.23%. From the evaluation results, four land units (SL1-SL4) were categorized as S3 class (marginally suitable) with the main constraints of excess rainfall (2,817-3,000 mm/year) and slope (9-40%). Meanwhile, SL5 is categorized as class N (unsuitable) due to drainage problems. The potential to increase land suitability is still open through the application of soil and water conservation, terrace construction, use of adaptive varieties, and improvement of soil and water management. The overall results confirm the importance of land suitability evaluation as a foundation for sustainable Arabica coffee management in the tropical highland region. Key words : Arabica coffee, land suitability, soil conservation, GIS