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All Journal Journal of Mathematics and Scientific Computing With Applications PHENOMENON : MULTIDISCIPLINARY JOURNAL OF SCIENCES AND RESEARCH
Permata Sari, Suci
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Mathematics

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PENENTUAN KADAR TOTAL PADATAN TERSUSPENSI PADA AIR ASAM TAMBANG BATUBARA DI KABUPATEN LAHAT MENGGUNAKAN METODE GRAVIMETRI Adawiyah, Shela; Permata Sari, Suci
PHENOMENON : Multidisciplinary Journal Of Sciences and Research Vol 1 No 01 (2023): PHENOMENON : Multidisciplinary Journal Of Sciences and Research
Publisher : Pusat Studi Ekonomi Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/phenomenon.v1i01.965

Abstract

This research is entitled Determination of Total Suspended Solids Levels in Coal Mine Acid Water in Lahat Regency Using the Gravimetric Method. The purpose of the study was to determine the determination of total suspended solids content in acidic coal mine water in Lahat Regency using the gravimetric method. The research analysis method is carried out in accordance with SNI 6989.3: 2019 on how to test Total Suspended Solids gravimetrically. The results showed that total suspended solids cause turbidity in water due to undissolved solids and cannot immediately settle, to determine the level of total suspended solids in coal mine acid water, the gravimetric method was used with the results of research at PT.X, PT.Y, and PT.Z not exceeding the quality standards of coal mine acid water where the maximum level is 400 mg/L
THE OPTIMIZATION OF PLANTING PATTERN IN FOOD CROPS USING MULTI OBJECTIVE GOAL PROGRAMMING Permata Sari, Suci; Filia Sari, Rina; Ulfa Rahayu, Sri
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.991

Abstract

In the agricultural sector, food crops are very important in human life because the results of food crops are basic human needs. This study discusses planting patterns to meet the availability of food crops. Planting patterns are very important to implement because it is to increase food production, so that food remains available and does not lack food needs. The study aims to determine the planting pattern in food crops so that the availability of food crops is met. The method used is Multi objective goal programming. Multi objective goal programming has more than one goal function to be achieved by minimizing deviations from the goal. The research obtained with a land area of 72525 Ha, the number of workers is 1000000, the need for organic fertilizer is 639000 kg / Ha, and the need for urea fertilizer as much as 14000000 kg / Ha can optimize planting patterns by planting types of food crop commodities in the of paddy and green beans.
THE OPTIMIZATION OF PLANTING PATTERN IN FOOD CROPS USING MULTI OBJECTIVE GOAL PROGRAMMING Permata Sari, Suci; Filia Sari, Rina; Ulfa Rahayu, Sri
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.991

Abstract

In the agricultural sector, food crops are very important in human life because the results of food crops are basic human needs. This study discusses planting patterns to meet the availability of food crops. Planting patterns are very important to implement because it is to increase food production, so that food remains available and does not lack food needs. The study aims to determine the planting pattern in food crops so that the availability of food crops is met. The method used is Multi objective goal programming. Multi objective goal programming has more than one goal function to be achieved by minimizing deviations from the goal. The research obtained with a land area of 72525 Ha, the number of workers is 1000000, the need for organic fertilizer is 639000 kg / Ha, and the need for urea fertilizer as much as 14000000 kg / Ha can optimize planting patterns by planting types of food crop commodities in the of paddy and green beans.
Co-Authors Adawiyah, Shela Filia Sari, Rina Ulfa Rahayu, Sri