Pefrianti, Lenni
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Optimasi Keuntungan Toko Buah Menggunakan Linear Programming Melalui Metode Simpleks (Studi Kasus : Toko Buah Sirandorung) Syahfitri, Diana; Priyanti, Dinda Octa; Pefrianti, Lenni; Syahputri, Tria; Ritonga, Irmayanti
Journal of Computer Science and Information System(JCoInS) Vol 6, No 1: JCoIns | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i1.6881

Abstract

Fruit stores face the challenge of determining optimal prices to maximize profits while considering stock constraints, costs, and demand. This research uses a linear programming approach with the simplex method to solve this problem. The data used includes reseller prices, selling prices, stock capacity and market demand for seven types of fruit. The manual process with the simplex method was validated using QM for Windows software. The research results show that this method is successful in determining the optimal combination of selling price and production quantity, which provides a maximum profit of IDR 666,000 per day. This approach provides a strategic solution for fruit shop managers in making data-based decisions.
Sistem Informasi Manajemen di Era IoT dan Cloud Audya, Anggi; Pefrianti, Lenni; Saroni, Habi; Putri, Pujawati Kurnia; Indriani, Vivi; Srikandy, Yuyun Lili; Sitorus, Sahat Parulian
Journal of Computer Science and Information System(JCoInS) Vol 7, No 1: JCoInS | 2026
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v7i1.8816

Abstract

The rapid development of Internet of Things (IoT) and cloud computing technologies has significantly transformed the way organizations manage information. Management Information Systems (MIS) are no longer limited to data recording and reporting functions but have evolved into integrated systems capable of providing real-time information to support strategic decision-making. This article aims to examine the role, benefits, and challenges of implementing Management Information Systems in the era of IoT and cloud computing. The research method employed is a literature review, drawing on relevant journals, books, and scientific publications. The results indicate that the integration of IoT and cloud computing into MIS can enhance operational efficiency, data accuracy, and system flexibility. However, several challenges remain, particularly related to data security, privacy issues, and the readiness of human resources.
Klasifikasi Tingkat Stres Mahasiswa Dalam Penyelesaian Tugas Akhir Menggunakan Naïve Bayes Dan K-Nearest Neighbor Pefrianti, Lenni; Munthe, Ibnu Rasyid; Irmayanti, Irmayanti; Masrizal, Masrizal
Journal of Computer Science and Information System(JCoInS) Vol 7, No 1: JCoInS | 2026
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v7i1.9060

Abstract

This study aims to analyze the stress levels of final-year students and compare the performance of Naïve Bayes and K-Nearest Neighbor (KNN) algorithms in stress classification. Data were collected from 82 respondents through a questionnaire consisting of seven variables (S1–S7) measuring factors contributing to stress, which were classified into low, moderate, and high stress levels. The results show that both algorithms can classify student stress effectively, with Naïve Bayes achieving the highest accuracy (90.15%) compared to KNN (87.72%). Distribution analysis by study program indicates that Agrotechnology has the highest proportion of students with high stress (42.86%), followed by Information Systems (40.63%) and Information Technology (13.64%). This study provides insights for the university to offer targeted support through counseling or stress management workshops.