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All Journal Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Iftita, Hasanatul
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Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Optimalisasi Keuntungan Banapuff dengan Metode Simpleks Safitri, Reza; Utomo, Pradita Eko Prasetyo; Iftita, Hasanatul
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 2 (2025): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i2.1265

Abstract

The growth of micro, small and medium enterprises (UMKM) makes business actors want to optimize profits. The limitations of raw materials and resources encourage business actors to review their strategies in order to generate optimal profits. The main purpose of the study is to calculate the optimal profit from the banapuff business and provide business strategic recommendations for the combination of products produced in order to generate optimal profits. The calculation of optimal profit will use linear programming with the simplex method, because the simplex method can confuse optimization calculations with many variables and constraints. The results of the study show that UMKM businesses can increase production profits by RP380,000.00 per production with the provision of producing 57.5 puffed bananas, 12.5 chocolate bananas and 20 sesame chocolate bananas. With this result, it is hoped that business actors will get a new business strategy in the efficiency of raw materials and the combination of product production through a systematic approach.
Analisis Teori Antrean untuk Menilai Kualitas Pelayanan pada Usaha Pangsit Chili Oil Menggunakan Model Saluran Tunggal-Fase Tunggal Putri, Anastasya Alya; Utomo, Pradita Eko Prasetyo; Iftita, Hasanatul
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 2 (2025): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i2.1255

Abstract

This study examines the queuing system at the Pangsit Chili Oil business by implementing the Single-Phase Single Channel (M/M/1) model to broadcast service quality. Data collection was conducted on December 1, 2024 for five operating hours (11:00-16:00 WIB), involving a total of 49 customers. The analysis shows that the frequency of customer arrivals (λ) reached 9.8 people per hour, while the service rate (μ) was recorded at 14.27 people per hour. In this system, the utility (ρ) was found to be 68.7%, with an average queue size ranging from 1 to 2 customers and a waiting time of around 9 minutes. These findings indicate that the service system operates efficiently and has a spare capacity of 31.3% to handle customer transmission. From a practical perspective, the results of this study can be used by management to improve resource distribution, employee scheduling, and service area layout arrangements in order to maintain a balance between operational efficiency and customer satisfaction. This model also has the potential to be applied to other culinary businesses with similar operational characteristics, especially micro and small businesses that have limited resources. Future research could explore multi-channel queuing models to respond to business growth or the application of digital ordering technology to improve system efficiency.
Analisis Implementasi Algoritma Genetika pada Penjadwalan Mata Kuliah Nasution, Mukhtada Billah; Utomo, Pradita Eko Prasetyo; Iftita, Hasanatul
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 5 No 3 (2025): Oktober 2025 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v6i1.11139

Abstract

Scheduling university courses is a complex challenge involving multiple variables, such as time allocation, room assignment, lecturer availability, and student requirements. This study explores the implementation of a genetic algorithm as a solution for generating optimal and efficient schedules. The genetic algorithm operates through the principles of selection, crossover, and mutation to progressively explore the solution space. Experiments were conducted using parameters of 50 individuals and 40 chromosomes, yielding an optimal schedule at the 124th iteration with a maximum fitness value (fitness = 1). The results indicate that the fitness value of individuals increases as generations progress, affirming the genetic algorithm's capability to achieve optimization iteratively. However, the stochastic nature of the algorithm leads to variations in the number of generations required to reach optimal results, influenced by the problem's complexity and the number of chromosomes. This study demonstrates that genetic algorithms are highly effective in solving complex scheduling problems with significant efficiency, producing solutions that meet constraints and support more structured operations. The algorithm contributes substantially to the development of automated scheduling systems in educational institutions and other sectors.
Co-Authors Nasution, Mukhtada Billah Putri, Anastasya Alya Reza Safitri Utomo, Pradita Eko Prasetyo