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All Journal KLIK: Kajian Ilmiah Informatika dan Komputer sudo Jurnal Teknik Informatika
Fuad Nur Hasan
Universitas Bina Sarana Informatika, Jakarta
Computer Science & IT Electrical & Electronics Engineering Engineering

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Implementasi Model Prototype Pada Sistem Informasi Persediaan Bahan Baku Menggunakan Metode Economic Order Quantity Elah Nurlelah; Fuad Nur Hasan; Reni Maryani
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1351

Abstract

Inventory is a variety of materials available from the business world to meet consumer demand every day, including materials such as raw materials and materials used in the production process. In inventory control, it is necessary to have a system for recording and calculating inventory, because inventory can affect the company's financial reports. CV Golden Toys is a company that operates in the manufacturing sector, in this company it is necessary to design an information system application for raw material inventory and use appropriate methods for raw material inventory in the hope of solving problems that arise such as large amounts of inventory piling up, data processing and search. Transactions or creating reports take a lot of time. By considering these constraints, the author created a web-based raw material inventory information system. In this research, the software model used is the Prototype model which is a method for building a system based on information needs quickly and efficiently. Meanwhile, the method used is the Economic Order Quantity (EOQ) method. This method is used with the aim of optimizing the total cost of raw material inventory and to find out the optimal number of orders for the system used. The results of this research are that a web-based raw material inventory information system and using a Prototype model and using the Economic Order Quantity method can help companies in terms of optimal procurement of raw materials, this can help reduce costs incurred by the company, besides that it can make things easier. warehouse in recording goods so that processing time becomes relatively faster
Analisis Sentimen Ulasan Aplikasi Maxim di Google Play Store Menggunakan Algoritma Support Vector Machine Muhammad Nouval; Fanza Maulana Habibi; Anisya Rahmi; Muhammad Dawam Amru Bittaqwa; Rizki Agustianto; Fuad Nur Hasan
sudo Jurnal Teknik Informatika Vol. 4 No. 4 (2025): Edisi Desember
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v4i4.1330

Abstract

Maxim merupakan salah satu aplikasi transportasi online yang banyak digunakan di Indonesia, sehingga ulasan pengguna menjadi sumber penting untuk mengetahui kualitas layanan. Penelitian ini bertujuan untuk menganalisis sentimen ulasan aplikasi Maxim di Google Play Store menggunakan metode lexicon based dan algoritma klasifikasi Support Vector Machine dan Naïve Bayes. Data sebanyak 400 ulasan diperoleh melalui teknik scraping, kemudian dilakukan tahap pre-processing yang meliputi cleaning, case folding, normalisasi kata, tokenizing, stopword removal, dan stemming. Pelabelan data ulasan dilakukan menggunakan lexicon based dengan tiga kelas sentimen, yaitu positif, netral, dan negatif, kemudian dilakukan validasi manual untuk meningkatkan akurasi label sentimen. Representasi fitur dilakukan menggunakan TF-IDF dengan parameter unigram dan min_df=2. Pengujian dilakukan dengan tiga skenario pembagian data, yaitu 80:20, 70:30, dan 60:40. Hasil penelitian menunjukan bahwa algoritma SVM memiliki performa yang lebih stabil dibandingkan Naïve Bayes berdasarkan nilai accuracy, precision, recall, F1-score, confusion matrix, dan cross validation.
Co-Authors Anisya Rahmi Elah Nurlelah Fanza Maulana Habibi Muhammad Dawam Amru Bittaqwa Muhammad Nouval Reni Maryani Rizki Agustianto