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PENGEMBANGAN IDEAL SOLUTION SYSTEM VERSI 2.0 DENGAN MENERAPKAN MODEL PROTOTYPING Rani Purbaningtyas; Didit Rahmat Hartadi
Jurnal Teknologi Informasi dan Terapan Vol 2 No 1 (2015)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Applications Ideal Solution System version 1.0 is an application developed independently since 2014 to solve various problems are multiple criteria as well as having the characteristics of the benefit factor and cost factor. In manufacturing, this application implementing TOPSIS method as basic algorithms used program. But in its implementation, there is still a shortage or revision of the user. Note the revision of the user obtained during the implementation phase is the basis for the developers to develop applications. Therefore, developers are trying to develop the Ideal Solution System version 2.0, which was developed with reference to the model prototyping. Ideal Prototype Solution System version 2.0 has been tested and found viable easy use testing because it is easy and convenient for the user so operate the application.
Penerapan Metode Monte Carlo Untuk Mendukung Estimasi Stok Produksi Kue Kering Rani Purbaningtyas
Benchmark Vol 3, No 2: April 2023
Publisher : Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46821/benchmark.v3i2.334

Abstract

Producing and selling pastries is one of the efforts that can be done to generate additional income, it is also possible to become a main source of income. The problem faced by Narendra pastry producers is that they want to ensure the availability of stock of the cookies they produce so that consumers and resellers are not disappointed if the desired product variant is not available in stock. The Monte Carlo method is the method chosen to predict sales data for Narendra's pastries based on historical sales data for the previous period. The outcome of this Monte Carlo prediction will later become a reference for how much stock of pastries should be produced for each variant. The results showed that the output of the Monte Carlo method had an accuracy rate of 93% for the nastar cookie product variant. With an accuracy rate of 93%, the Monte Carlo method can be used to predict the stock of other pastries variants in the next period.
MENGOPTIMALKAN KUALITAS SISTEM E – LEARNING JTI POLITEKNIK NEGERI JEMBER MENGGUNAKAN STANDAR ISO 9126 Rasyidah Aisy Ariyanto; Rani Purbaningtyas; Nensyah Permadani; Muhammad Lury Choirul Rizki; Irfan Mazendra
Jurnal Teknik Industri, Sistem Informasi dan Teknik Informatika Vol. 2 No. 2 (2023): Jurnal Tinsika
Publisher : Universitas Bakti Indonesia

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Abstract

Sistem E-Learning di Politeknik Negeri Jember digunakan untuk mendukung pembelajaran mahasiswa. Untuk menilai kualitas sistem ini, dilakukan pengukuran menggunakan ISO-9126 dengan 6 faktor: fungsionalitas, reliability, usability, efficiency, maintanability, portability. Studi ini melibatkan empat tahap: identifikasi pengguna, pengujian kinerja, pengukuran kualitas, dan analisis hasil. Hasilnya menunjukkan bahwa kualitas penggunaan E-learning JTI adalah baik (79.8%) kualitas sistem E – Learning dari sisi pengguna dosen bernilai cukup (66.25%), dan kualitas admin bernilai (82.8%) baik. Penelitian ini berperan penting dalam mengembangkan teknologi pendidikan yang memadai, meningkatkan pengalaman belajar dan pengajaran, serta mendukung peningkatan kualitas pendidikan di Politeknik Negeri Jember.