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All Journal Al-Aqlu : Jurnal Matematika, Teknik dan Sains Semeton Mathematics Journal
Fitrawati, Elyin
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Engineering Mathematics

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Penerapan Algoritma Greedy Untuk Menyelesaikan Permasalahan Integer Knapsack (Studi Kasus : Indah Logistik Cargo Mataram) Setiawati, Setiawati; Fitrawati, Elyin; Awwaliyah, Razma Rizqiyah; Alivia, Baiq Nadiva; Bahri, Syamsul
Semeton Mathematics Journal Vol 1 No 1 (2024): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v1i1.210

Abstract

Distribution is one form of problem that can be solved using the optimization process. There are various things that can be optimized in distribution problems, including maximizing the weight of goods to be distributed so that it can save distribution costs and provide benefits for the company. One of the companies engaged in the distribution of goods is Indah Logistik Cargo, Mataram branch, where in the distribution process there are goods with quantities that exceed the capacity of the shipping equipment. Therefore, it is necessary to select goods to be delivered with the maximum weight but not exceeding the capacity that provides greater benefits to the company. This problem is one of the integer knapsack problems. In this study, researchers used greedy algorithms, namely greedy by profit, greedy by weigth and greedy by density to optimize profits. From the research results, it is obtained that the method that has a greater profit in the distribution process at Indah Logistik Cargo Mataram is greedy by density, which amounts to ?? 2,603,138.3.
PREDIKSI TINGKAT PRODUKSI PADI DI LOMBOK BARAT DENGAN METODE LEAST SQUARE: Prediction of Rice Production Levels in West Lombok Using the Least Squares Method Fitrawati, Elyin; Setiawati, Setiawati; Rahayu, Sri Puji; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 4 No. 1 (2026): Januari 2026
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v4i1.480

Abstract

Rice is one of the crops that plays a significant role in maintaining food security and supporting Indonesia’s economy. As the staple food for the majority of the population, rice strongly influences the country’s social and economic conditions. Due to its crucial importance, accurate predictions of rice production are required to support more effective planning. This study aims to forecast rice production in West Lombok Regency using the least square method. The data utilized include harvested area and rice production from 2011 to 2022. The resulting prediction model is a second-degree polynomial function that represents the relationship between harvested area and total rice production. Based on the Mean Absolute Percentage Error (MAPE) analysis, an error rate of 2.2391% was obtained, indicating that the model has a very high level of accuracy, as the error is below 10%. The findings of this study are expected to serve as a reference for more precise planning to improve rice production in West Lombok Regency
Co-Authors Alivia, Baiq Nadiva Awwaliyah, Razma Rizqiyah Rahayu, Sri Puji Robbaniyyah, Nuzla Af’idatur Setiawati Setiawati Syamsul Bahri Tri Maryono Rusadi