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Journal : International Journal of Engineering, Science and Information Technology

Selectivity of Herbicides in Controlling Weeds in Corn (Zea mays L) With A Tegel and Jajar Legowo Planting Pattern in West Aceh Regency Fakhrurrazi, Fakhrurrazi; Baidhawi, Baidhawi; Yusra, Yusra
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i3.536

Abstract

Maize (Zea mays L.) has a strategic role in meeting global food needs. How is the selectivity of herbicides in cultivation patterns 1 (single rows) and 2 (double rows) in Maize plants (Zea Mays L), how is the combination of herbs and plant pattern suitable for the management of weeds in corn crops (Zea mays L), how are the interactions of selectivities of herbicides and cultivation of maize (Zea mays L). This study uses Random Group Design (RGD) factorial patterns where factor 1 (herbicide) and factor 2 (planting pattern). The herbicide is composed of 4 types: H0 (control), H1 (Atrazine 180g/l + Mesotrione 40g/ l + Nicosulfuron 20 g/l, H2 (Atazine 500g/L, Mesotrione 50 g/L) and H3 (Topramezone 10 g/ L + Atrazine 300 g/ l). While the planting pattern consists of 2 types: P1: single row (70 x 20 cm) and P2: double rows (100x20x40 cm). Some conclusions were obtained, among others: The use of the herbicide atrazine in several formulas within the tile and legowo planting patterns does not cause poisoning in corn plants. The combination of herbicides (Topramezon 10 g/l and Atrazine 300 g/l / Tile) is most suitable for corn plants. There is an interaction between the herbicide and the planting pattern on the parameters of ear weight without husk and ear length without husk, which shows significant differences
Determination of The Critical Period of Sweet Corn Plants (Zea Mays Saccharata Sturt) Against Weed Safrina, Safrina; Baidhawi, Baidhawi; Hafifah, Hafifah
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i3.524

Abstract

The critical period is a time when cultivated plants are very sensitive to the presence of weeds so that the disturbance caused by them can reduce the final yield. So, no the entire growing period of plants is affected by weeds. This critical period relates to the time of proper control so that the presence of weeds does not always require control measures. This research aims to determine the critical period for sweet corn (Zea Mays Saccharata Surt) against weeds and the effect of weeds on the growth and yield of sweet corn plants. This research was carried out at Gampong Mesjid, Kaway XVI, West Aceh Regency, Soil Science Laboratory and Pest and Disease Laboratory, Agroecotechnology Study Program, Faculty of Agriculture, Malikussaleh University, North Aceh from February to April 2024. This research used an experimental method of randomized block design (RAK), the single factor that consists of 10 treatments with 3 repetitions. P1: 0-15 DAP with weeds, P2: 0-30 DAP with weeds, P3: 0-45 DAP with weeds, P4: 0-60 DAP with weeds, P5: 0-Weedy harvest, P6: 0-15 DAP weeds free, P7: 0-30 DAP weeds free, P8: 0-45 DAP weeds free, P9: 0-60 DAP weeds free, P10: 0-DAP harvest free from weeds. The observation data were analyzed using analysis of variance, the treatment average was obtained through Duncan’s Multiple Range Test (DRMT) a the 0.05 level. The research results show that the critical period for sweet corn (Zea mays saccharata Sturt) for weeds is determined at the age of 16-30 days after planting. Weed control carried out between  16-30 days of plant age will not inhibit the growth and yield of sweet corn plants.
Compatibility Analysis of Metolachlor and Pendimethalin for Weed Control in Arabica Coffee Plants Julfikar, Julfikar; Jamidi, Jamidi; Baidhawi, Baidhawi
International Journal of Engineering, Science and Information Technology Vol 4, No 2 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i2.507

Abstract

Losses caused by the presence of weeds in an agricultural business are often associated with the ability of weeds as strong competitors for plants to obtain water, nutrients, sunlight, and growing space. A mixture of metolachlor and pendimethalin herbicides is expected to control important weeds of various classes in coffee plants. The purpose of the research was to determine the effect of two herbicide mixtures at different doses on weeds in coffee plantations. This research used a 4 X 4 factorial randomized block design with 2 repetitions, resulting in 32 experimental plots. The first factor was metolachlor herbicide and the second was pendimethalin herbicide, each factor consisting of 4 levels with 0.00, 0.75, 1.75 and 2.25 kg ha-1 doses. The observed parameters consisted of (1) dominance count value, (2) percentage of controlled weeds, (3) weed coverage, (4) weed population, and (5) weed dry weight. The results showed that there was a very significant effect on the combined interaction of metolachlor and pendimethalin herbicide mixtures on the percentage of controlled weeds, percentage of weed closure at 21 and 28 DAA, and weed dry weight at 28 and 42 DAA with the best dose combination at b.a. 1.50 kg ha-1 which could increase the efficiency of weed control. Meanwhile, the percentage of controlled weeds, percentage of weed cover at 14 DAA, and weed population at 28 and 42 DAA showed very significant results independently with a dose of b.a. 2.25 kg ha-1
Effectiveness of Weed Control on Two Varieties of Corn (Zea Mays L.) in West Aceh Regency Ernawati, Ernawati; Baidhawi, Baidhawi; Jamidi, Jamidi
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i3.533

Abstract

This research aims to find out which weed control techniques are most effective in suppressing weed growth on corn plants, to find out the interaction of manual, mechanical, and chemical weed control on corn plants, to find out the influence of weed control techniques on the production and growth of corn plants. This research be carried out in West Aceh Regency on corn farming land in the Pante Ceureumen District. The time allocation is from April to June 2014. The research was conducted using a randomized block design with a factorial pattern with two factors being studied. The first factor is the weed control technique (T): no control, manual control, using husk charcoal, chemical, atrazine + mesotrion 1.35 ml each 9 m² and the second factor is the variety (V): Bisi-2 and Bisi-18. Based on the treatment of 12 plots with 3 repetitions times until there are 36 experimental units. Each treatment plot measures 300 cm x 300 cm with a planting distance of 75 cm x 25 cm so that the number of sample plants in each plot is 48 plants and the number of sample plants in each plot is 8 plants. The distance between plots is 50 cm and the distance between replications is 100 cm. The results obtained from observations are analyzed using the F test. If the results obtained from the variance are significantly different at the 5% level. The result of the research that has been carried out is that the most effective control technique in suppressing weed growth in corn plants is found at T5 (chemistry, topramezone + atrazine 1.35 ml each 9 m², at 21, 40, and 56 HST), followed by T2 (culture technique using rice husk charcoal), T4 (Chemical, nicosulfuron + atrazine 1.35 ml each 9 m², at 21, 40, and 56 HST) and T1 (manual, at 21, 40, and 56 HST) have the same position, then T3 (chemistry, atrazine + mesotrione 1.35ml each 9 m², at 21, 40 and 56 HST), and the last position in weed control techniques is WC (without control).
Analysis of Glyphosate Herbicide Residues in Coffee Plantations in Bener Meriah Regency Suheri, Dedi; Nasruddin, Nasruddin; Ismadi, Ismadi; Jamidi, Jamidi; Baidhawi, Baidhawi
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.779

Abstract

Coffee is a leading plantation commodity as it serves as a source of income for farmers, provides raw materials for industries, creates job opportunities, and promotes regional development in Bener Meriah Regency. To achieve optimal production results, farmers must adequately manage and maintain their coffee plantations, one way being the reduction of chemical usage that may affect the coffee beans. The negative impact of excessive chemical use includes rejecting exports to several European countries due to residue levels exceeding the limits set by European Union regulations. Therefore, analyzing herbicide residues and studying the factors affecting their persistence is necessary. Sampling was conducted in five sub-districts: Gajah Putih, Bandar, Permata, Timang Gajah, and Bukit, by collecting soil and bean samples from five points in each sub-district for analysis using gas chromatography. The research showed glyphosate residue levels of 0.002 mg/kg in each soil and bean sample. These levels are considered low compared to the maximum residue limit (MRL) for coffee, which is 0.1 mg/kg. This indicates that glyphosate residue contamination in the sampled plots is considered safe for consumption. Observations and interviews with farmers concluded that the low residue levels in the soil samples were influenced by several factors, including climate (temperature, humidity, rainfall), soil characteristics, topography, herbicide characteristics, and weed types.
Quantitative and Qualitative Analysis of Weed Vegetation in Coffee Plantations in Bener Meriah Regency Farahdiba, Dewi; Baidhawi, Baidhawi; Nasruddin, Nasruddin; Nazirah, Laila; Ismadi, Ismadi
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.797

Abstract

Coffee plants are an essential commodity widely cultivated in Bener Meriah Regency, Aceh Province. This study aims to determine the composition of dominant weed types and weed structures in Arabica coffee plantations in Bener Meriah Regency through weed vegetation analysis. Weed vegetation analysis is carried out in two ways, namely quantitative and qualitative. The research was conducted from November 2023 to March 2024 in 5 sub-districts. Weed sampling was carried out on five location plots per sub-district by placing a square measuring 1 m x 1 m diagonally to analyze the number of weeds, the number of individuals, and abundance. The study's results found 2,408 individuals and 35 species of weeds, namely 28 species of broadleaf weeds, three species of puzzles, three species of grasses, and one species of ferns. Spilanthes paniculata Wall weed. Ex DC or jotang is the most dominant weed, with an absolute density value of 392 (SDR 11.82). The absolute frequency value is dominated by Oxalis debilis or calincing. Meanwhile, the highest absolute dry weight was weeded S. paniculata Wall. Ex DC and A. conyzoides with values of 923.3 and 836.2. The life cycle of weeds showed that eight species (22.85%) had annual life cycles, and 27 species (77.15%) had annual life cycles. Stratification is classified as class 3, with as many as 14 species. Sociability is classified as 4th degree as many as 13 species. All weeds are classified as vitality 1. Meanwhile, the periodicity is only nine weed species that do not have flowers, seeds, and fruits.
Co-Authors - Fakhrurrazi -, Baidhawi - Abdullah Adi Setiawan Adnan Adnan Adnan Adnan Agustina Akbar, Khairul Akram, Nuzul Alfi Syahrin, Muhammad Ali Rahmat Ami Safriyanur AR, Marzuki Arief Rahman Arnawan Hasibuan Azmi, Farhan Batubara, Fazriani Cindenia Puspasari Deassy Siska Dewi Safitri, Triana Dwi Asti Purnama Dwi Nanda Aulia Situmorang Ernawati Ernawati F. Febrianti Fadli Fadli Farahdiba, Dewi Firmansyah, Nanda Hafifah Hafifah Hafifah, Hafifah Handayani, Rd Selvy Hasnita, Nur Haykal, Muhammad Hendrival Hendrival Hendrival Hendrival Herman Fithra Hilmi Hilmi Ismadi Ismadi Ismadi Ismadi Jamidi, Jamidi Jufri Jufri Julfikar, Julfikar Kembaren, Emmia Tambarta Khaidir Khaidir Khairani, Annisa Khusrizal Khusrizal Laila Nazirah Latifah Latifah Latifah Latifah M Sayuti Maisura Maisura Mariyudi Mariyudi Maulana Ikhsan Mawardati Mawardati Mawardati Mawardati Melati, Putri Millenia Dzikra Az Zahra Milna, Milna Mirzawati, Mirzawati Muhamad Yusuf, SE., M.Si. Muhammad Afzalul Zikri Muhammad Chairuddin Muhammad Daud Muhammad Imam Muatho Muhammad Muaz Munauwar Muhammad Nazaruddin Muhammad Rafif Fadlurrahman Hasibuan Muliana, Muliana Murdani Murdani, Murdani Nanda Firmansyah Nanda Firmansyah Nanda Savira Ersa Nasruddin Nasruddin Nasruddin Nasruddin Nasruddin Nasruddin Nasruddin Nasution, Paisah Novita Pramahsari Putri Nur Hasnita Nurmasyitah Nurmasyitah Nuzul Akram Nyak Intan Fadhilati Pramahsari Putri, Novita Pratiwi, Jelita Widiya Putri Anjali Safina Putri, Novita Prahmasari Putri, Novita Pramahsari Razif, Razif Rd. Selvy Handayani Reza Al Farizi Rico Nainggolan, Tito Robi Kurniawan Rosnina nina A.G Rosnina Rosnina, Rosnina Ruhani, Ruhani Sabar, Muhammad SAFITRI, Sekar Safrina Safrina, Safrina Satya Darmayani Suheri, Dedi Sulistianto, Sulistianto Suryadi Suryadi Sutiharni Sutiharni Syahrani Khairani Marpaung Taufiqurrahman Taufiqurrahman Teuku Ilhami Surya Akbar Usnawiyah Widyana Verawaty Siregar Widyana Verawaty Siregar Yunus, Saifuddin Yuskarina, Yuskarina Yusra Yusra Yusra, Yusra Zufina, Rezki Zuriani, Zuriani Zurrahmi Wirda Zurrahmi Wirda