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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JIASEE Journal of Integrated Agricultural Socio-Economics and Entrepreneurial Research
Ayomi, Nun Maulida Suci
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation

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POLA PERTUMBUHAN EKONOMI PERTANIAN DALAM PENGEMBANGAN KAWASAN AGROPOLITAN DI KABUPATEN SEMARANG Santoso, Wahyu Imam; Ayomi, Nun Maulida Suci
Journal of Integrated Agricultural Socio-Economics and Entrepreneurial Research (JIASEE) Vol 1, No 1 (2022): Vol.1 No.1 Oktober 2022
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (276.825 KB) | DOI: 10.26714/jiasee.1.1.2022.45-61

Abstract

Agropolitan Area Development is one of the concepts in the development of the agricultural sector in Semarang Regency. This study aims to determine the classification of the agricultural subsector in Semarang Regency with the Klassen Typology approach. Furthermore, this study aims to formulate a strategy for developing the agricultural subsector in the context of developing an agropolitan area in Semarang Regency. The basic method of this research is descriptive method with analytical methods in the form of Klassen Typology . The results showed that the Livestock Subsector was the prime agricultural subsector, the Food Crop Subsector, the Annual Horticulture Crop Subsector and the Annual Horticulture Plant Subsector were potential agricultural subsectors in Semarang Regency. The livestock subsector development strategy in Semarang Regency is done by Increasing the Role of Sub Terminal Agribisnis (STA) as a media for business development and promotion of livestock products, Optimizing the management of livestock sector potential through agro-industry development and by developing livestock product quality through labeling and quality certification of livestock products
Kerusakan Tanaman Selada (Lactuca sativa L) oleh OPT pada Budidaya Hidroponik di Kota Semarang Kusuma, Marsliana Indah; Orbit, Juwan; Safira, Wahyu Ida; Zuhri, Nur Muttaqien; Ayomi, Nun Maulida Suci
Journal of Integrated Agricultural Socio-Economics and Entrepreneurial Research (JIASEE) Vol 2, No 2 (2024): Volume.2 No.2 Maret 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jiasee.2.2.2024.107-112

Abstract

Hydroponic plants are plants that grow using nutrient solutions that contain minerals needed for plant growth. This study was conducted to identify various types of pests that attack mustard and lettuce plants grown in a hydroponic system. The research location was in Mijen Sub-district, Semarang City. Data collection methods used included surveys, interviews, and direct observation in the field which were then analysed descriptively. Observations of pests and diseases were conducted routinely every week until harvest time. Observations from the research location showed that the largest pest population came from the order Diptera (Fruit Flies) with 48 individuals, followed by the order Lepidoptera (Moths) with 33 individuals. Meanwhile, the population of pests from the Hemiptera and Hymenoptera orders (Walang sangit and Honey Bee) had the same number, 18 and 6 respectively.
FORECASTING THE NUMBER OF FOREIGN TOURISM IN BALI USING THE HYBRID HOLT-WINTERS-ARTIFICIAL NEURAL NETWORK METHOD Haris, M. Al; Himmaturrohmah, Laily; Nur, Indah Manfaati; Ayomi, Nun Maulida Suci
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp1027-1038

Abstract

Bali was one of the destinations frequently visited by tourists because it had natural beauty, especially in the tourism sector. The number of foreign tourists coming to Bali until 2019 had increased, but there had been a very significant decrease in 2020. Forecasting the number of tourists coming to Bali in the future was needed to provide input or recommendations to the government and business people in anticipating decisions taken in the process of developing the tourism sector in Bali. One of the forecasting methods that can be used was the Holt-Winters method. The Holt-Winters method was part of Exponential Smoothing which is based on smoothing stationary, trend and seasonal elements. However, the Holt-Winters method can only capture linear patterns, so a method was needed that can capture non-linear patterns. The Artificial Neural Network method was proposed to overcome the shortcomings of the Holt-Winters Method. This research was focused on the number of foreign tourists visiting Bali using the Hybrid Holt Winters-Artificial Neural Network method. The results showed that the data on the number of foreign tourists fluctuated every month. The best method for predicting the number of foreign tourists was the Hybrid Holt-Winters (α = 0.987, β = 0.000001, and γ = 1)-Artificial Neural Network (12-15-1) because it has the best accuracy as indicated by the MAD value of 0.036684, MSE 0.01098698 and MAPE 6.30417%.
Co-Authors Haris, M. Al Himmaturrohmah, Laily Indah Manfaati Nur Kusuma, Marsliana Indah Nur Muttaqien Zuhri Orbit, Juwan Safira, Wahyu Ida Wahyu Imam Santoso