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Journal : Jurnal Simantec

PENERAPAN NAÏVE BAYES DAN LATENT DIRICHLET ALLOCATION (LDA) UNTUK ANALISIS SENTIMEN DAN PEMODELAN TOPIK PADA PROYEK KERETA CEPAT JAKARTA-BANDUNG Fatah, Doni Abdul; Kamil, Fajrul Ihsan; Soesilo, Budi; Mulaab, Mulaab Mulaab
Jurnal Simantec Vol 12, No 2 (2024): Jurnal Simantec Juni 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i2.25440

Abstract

Proyek kereta cepat Jakarta – Bandung merupakan salah satu proyek besar yang saat ini sedang dibuat di Indonesia. Proyek kereta cepat Jakarta – Bandung menjadi ramai dibicarakan di media sosial Twitter. Karena dalam pembangunannya terdapat beberapa masalah, seperti banjir yang terjadi di Bekasi dan menyebabkan kemacetan dan mengganggu kelancaran logistik. Beberapa opini masyarakat dapat berupa sentimen positif dan negatif terhadap Pembangunan Kereta Cepat ini. Untuk mengetahui opini masyarakat tersebut maka perlu dilakukan analisis sentimen dan pemodelan topik menggunakan metode Naive Bayes dan Latent Dirichlet Allocation. Hasil pengujian menunjukkan bahwa pada analisis sentimen setelah dilakukan perhitungan menggunakan metode Naive Bayes diperoleh nilai akurasi sebesar 66%. Sedangkan pada pemodelan topik menggunakan metode Latent Dirichlet Allocation diuji menggunakan nilai koherensi terbaik diperoleh nilai sebesar 0,472 pada 9 topik.
Application of optimization techniques to maximize uniform sales profit using the Simplex Method Soesilo, Budi; Kurnia Sandy, Luqman; Imamah, Imamah
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.30547

Abstract

The uniform sales industry in Indonesia often faces challenges related to resource limitations that affect sales profitability. CV. Titis Konveksi experiences difficulties in optimizing uniform sales to maximize profit. This study applies the Simplex Method, a linear programming approach, to determine the optimal sales combination that generates maximum profit. In addition, this research develops a web-based information system to automate the optimization calculation, allowing users to easily determine the most profitable sales combination. The system is developed using Flask as the backend framework, with PHP for the user interface and MySQL for managing sales data, constraints, and optimization results. The data collected are primary data consisting of sales quantities from January 2022 to December 2023, selling prices and profits per product, raw material usage, machine capacity, and available working days. System evaluation was conducted by comparing calculation results from the developed system with manual calculations using Microsoft Excel and optimization results from QM for Windows V5. Functionality testing was also carried out using black box testing. Based on the results of the functionality testing, all of the system's main functions successfully operated as expected. According to the optimization results applied in the system, the optimal product sales combination to achieve maximum profit consists of 4.085 units of almamater blazers and 1.572 units of graduation gowns, generating a maximum profit of IDR 132,001,700. Compared to CV. Titis Konveksi’s previous actual profit of IDR 102,859,000, the optimized sales strategy offers a potential increase of IDR 29,142,700. The developed web-based information system has been proven effective in improving CV. Titis Konveksi's profitability by providing more optimal sales recommendations.Keywords: Profit Optimization, Simplex Method, Linear Programming, Garment Industry.