Claim Missing Document
Check
Articles

Found 13 Documents
Search

FORECASTING MODEL OF ONIONS IN SUMBAWA DISTRICT Susilawati, Tri; Darmawan, Indra; Ardiansyah, Eka; Adlimi, Arsil
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.466 KB) | DOI: 10.30598/barekengvol17iss1pp0505-0512

Abstract

Sumbawa Regency as the second largest shallot producing area in NTB certainly contributes to food security in Sumbawa Regency in particular and in Indonesia in general. This condition certainly needs to make policy makers predict crop yield growth for the following years. This study aims to predict shallot yields for the next 9 years. The data used is secondary data sourced from the Sumbawa District Agriculture Office. There are three trend forecasting methods used, namely least square method, quadratic and exponential trend models. Based on the calculation results, the best forecasting trend model is obtained, namely the exponential trend model with MAPE and MAD values ​​and the largest coefficient of determination (R2). The exponential trend obtained shows a positive trend, namely positive exponential values ​​and positive principal numbers
OPTIMIZATION OF WASTE MANAGEMENT IN SUMBAWA DISTRICT USING A DYNAMIC SYSTEM MODEL Susilawati, Tri; Darmawan, Indra; Alfaresa, Muhammad Saiful
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1403-1410

Abstract

The main problem that occurs in society today apart from basic needs is the problem of waste. This waste problem certainly needs a solution in good, effective, sustainable and long-term management. The waste issue not only occur in big cities but also in developing areas. Sumbawa Regency as one of the regions that continues to develop and grow requires optimum and long-term planning of solid waste management and systems. In 2021, the waste handled in Sumbawa Regency will only be around 17.5% of the total waste. This shows that the waste management system in Sumbawa Regency is not optimal. Optimal waste management can be achieved by taking an academic approach through model development. One such model is the dynamic system model. This can describe the causal relationship between variables that affect solid waste problems and to provide an overview of the waste management system through simulations based on the factors that influence the processing model. Therefore, it is necessary to develop an optimization model for waste management specifically in Sumbawa Regency using a dynamic systems approach. The purpose of this study is to describe waste management in the form of an optimization model for waste management in Sumbawa Regency with a dynamic system. Optimization results show that the optimistic model yields a total of 127.01 tons/day, the moderate model yields a total of 98.23 tons/day and the pessimistic model produces 62.5 tons/day
EFISIENSI KERAPATAN STASIUN HUJAN DI KABUPATEN SUMBAWA Lismula, Adi Mustikatari; Dharmawansyah, Dedy; Mawardin, Adi; Susilawati, Tri
JURNAL TEKNIK SIPIL Vol 10, No 1 (2021): Volume 10 Nomor 1 Mei 2021
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jts.v10i1.19122

Abstract

Curah hujan pada umumnya tidak merata disuatu wilayah, hal ini berimbas pada penyebaran hujan yang juga tidak seragam sehingga mempengaruhi perancangan keteknikan dimasa mendatang di suatu wilayah. Kabupaten Sumbawa sebagai daerah dengan kondisi topografi yang berbukit juga mengalami ketidakseragaman penyebaran hujan sehingga untuk mengetahui konsistensi data curah hujan ini, maka digunakan metode Kagan-Rodda dengan luaran berupa titik-titik stasiun hujan yang optimum dalam mewakili suatu wilayah di Kabupaten Sumbawa. Sedangkan metode untuk menguji konsistensi data dengan metode Rescaled Adjusted Partial Sums (RAPS). Hasil perhitungan diperoleh nilai koefisien variasi (Cv) adalah 24,1, untuk kesalahan ijin 3% dibutuhkan 64 stasiun baru dengan panjang segitiga Kagan 10,8 km, sedangkan untuk kesalahan ijin 5% dibutuhkan 23 stasiun baru dengan panjang segitiga Kagan 17,8 km