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Pembuatan Alat Pendeteksi Dini Wereng Batang Coklat Secara Sederhana di Desa Tanggalrejo Nasirudin, Mohamad; Suhadi, Agus; Indah Yuliana, Anggi; Ario Wibowo, Rendy; Nur Cahaya , Fitria; Hari Winarno, Dwi; Maf'ulah, Siti
Jumat Pertanian: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): Agustus
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasper.v5i2.4074

Abstract

The rice crop yields in Daterejo Village are erratic from year to year, and farmers often suffer losses. The outbreak of brown planthoppers is one of the threats feared by rice farmers in Daterejo Village. The community service carried out aims to provide knowledge on how to detect early and control brown planthoppers in rice cultivation areas. Service activities were carried out in Daterejo Village, Mojoagung District, Jombang Regency, East Java Province. Implementation of community service activities will be carried out in September 2023. The implementation method for this community service activity uses the Participatory Action Research method. Action and participatory methods are implemented in socialization activities among farmer groups and also training in operationalizing the brown planthopper early detection tool. The community service carried out is by implementing appropriate technology for early detection of brown planthopper insect pests. This early detection tool for insect pests actually has several benefits, including knowing the population of brown planthopper pests in rice clumps. In the socialization, tools for detecting insect pests in rice clumps were explained, and the life cycle of brown planthopper pest insects on rice plants. The hope is that farmers will be able to detect it early when rice planting is taking place, so that there will be no crop failure caused by attacks by brown planthopper pests.
Analisis Pertumbuhan Tanaman dan Kejadian Hama Penyakit Tanaman Pakcoy (Brassica rapa L.) Akibat Pemberian Air Limbah Lele Yuliana, Anggi Indah; Afif, Muh Abdurrosyid; Qomariah, Umi Kulsum Nur; Suhadi, Agus
AGROSAINTIFIKA Vol. 6 No. 2 (2024): Mei
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/agrosaintifika.v6i2.4557

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh air limbah lele terhadap pertumbuhan tanaman sawi pakcoy, yang meliputi:  panjang tanaman, jumlah daun, luas daun, bobot basah, intensitas serangan hama, dan penyakit. Metode yang digunakan dalam penelitian ini ialah metode kuantitatif dengan Rancangan Acak Kelompok (RAK) Non Faktorial. Metode ini menggunakan 7 perlakuan yakni (F1) air biasa 250 ml, (F2) air biasa 250 ml + pupuk NPK 0,75 g/tanaman, (F3) air biasa 200 ml + air limbah lele 50 ml, (F4) air biasa 150 ml + air limbah lele 100 ml, (F5) air biasa 100 ml + air limbah lele 150 ml, (F6) air biasa 50 ml + air limbah lele 200 ml, (F7) air limbah lele 250 ml dan diulang sebanyak 3 kali. Hasil penelitian ini pada parameter panjang tanaman, jumlah daun, dan luas daun menunjukkan tidak adanya perbedaan yang nyata akibat pemberian air limbah lele, namun pada parameter bobot brangkasan dan bobot total tanaman menunjukkan adanya perbedaan yang nyata pada perlakuan F4, F5, F6, dan F7. Adapun hama dan penyakit yang muncul ialah ulat daun, belalang kayu, dan bercak daun, dari keseluruhan intensitas serangannya menunjukkan tidak adanya perbedaan yang nyata akibat perlakuan air limbah lele.
Analysis of Bankruptcy Predictions Due to Boycott at PT. Unilever using The Altman Z-Score, Zmijewski X-Score, Fulmer, and Taffler Methods. Suhadi, Agus; Mubarak, Husni
JAS (Jurnal Akuntansi Syariah) Vol 9 No 2 (2025): JAS (Jurnal Akuntansi Syariah) - December
Publisher : LPPM ISNJ Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46367/jas.v9i2.2518

Abstract

This research aims to evaluate and project the risk of bankruptcy of PT. Unilever Indonesia due to financial difficulties caused by the boycott. The method used is quantitative descriptive by applying four bankruptcy prediction models Altman Z-Score, Zmijewski X-Score, Fulmer, and Taffler to analyze the company's financial condition during the 2019-2023 period. The results of the study show that based on the four methods, the company is in a condition of non-distress. Although there are different approaches in each model, the results still show a trend of deteriorating corporate financial health. In conclusion, although each prediction model uses a different method of analysis, these findings remain an important signal for companies to understand the state of their financial health in more depth.