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All Journal Indo-MathEdu Intellectuals Journal
Risalman, Nurmulia Risky
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Mathematics

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Sistem Pendukung Keputusan untuk Penerimaan Siswa Baru di MIN 2 Oku Dengan Metode Profile Matching Husniawati, Husniawati; Majalista, Riya; Sari, Rani Puspita; Risalman, Nurmulia Risky
Indo-MathEdu Intellectuals Journal Vol. 6 No. 4 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i4.3581

Abstract

The acceptance of new students is one of the important processes in the world of education that determines the quality of students in an institution. At MIN 2 OKU, the selection process is still done manually, which risks causing subjectivity and inefficiency in decision-making. To address this issue, a Decision Support System (DSS) was developed using the Profile Matching method. The purpose of this research is to design and build a DSS based on the Profile Matching method in order to improve the accuracy and efficiency of new student selection at MIN 2 OKU. This method is used to assess the suitability between the candidate students' profiles and the predetermined criteria, such as academic scores, potential academic tests, interviews, and memorization. This system helps the school provide objective and systematic assessments. The test results show that this decision support system is able to provide student admission recommendations more accurately, fairly, and transparently compared to the manual process. Therefore, this system is expected to improve the quality of the selection process at MIN 2 OKU.
Optimasi Formulasi Ayam Petelur Menggunakan Metode Pemrograman Linier untuk Meminimalkan Biaya Pakan pada BUMDes Maju Bersama Lengkiti Azhari, Yoga; Handoko, Doddy; Risalman, Nurmulia Risky; Muslim, Edi; Destiarini, Destiarini
Indo-MathEdu Intellectuals Journal Vol. 6 No. 8 (2025): Indo-MathEdu Intellectuals Journal (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i8.4417

Abstract

Feed costs are the largest component in laying hen production, which can reach 70% of the total cost, so an efficient formulation is needed to maintain profitability. This study aims to optimize laying hen feed formulations using linear programming methods to minimize feed costs without reducing nutritional adequacy. A quantitative approach was used by developing a linear programming model that considers the essential nutrient requirements such as protein, energy, calcium, and phosphorus, with feed ingredients including corn, soybean meal, bran, fish meal, and limestone. The optimization process was carried out with the help of computational tools to determine the lowest-cost combination of feed ingredients that still meets the nutritional standards of laying hens. The research results indicate that the optimized formulation successfully reduced feed costs compared to conventional formulations without compromising nutritional quality. In addition, this model also provides flexibility in substituting feed ingredients when market price fluctuations occur, allowing farmers to adjust to dynamic economic conditions. In conclusion, the linear programming method has been proven effective in formulating cost-effective layer chicken feed, offering financial benefits as well as practical applications in the poultry farming sector.
Co-Authors Azhari, Yoga Destiarini, Destiarini Handoko, Doddy Husniawati, Husniawati Majalista, Riya Muslim, Edi Sari, Rani Puspita