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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.
Pengujian Kualitas Perangkat Lunak Website Jurusan Teknologi Informasi Politeknik Negeri Jember Menggunakan ISO 9126 Maulidatul Muauwanah; Irsyad Romadloni; Muhammad Abdul Muqid; Muhammad Hasyim Al Arif; Rani Purbaningtyas
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 3 No. 3 (2023): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Politeknik Pratama Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v3i3.2798

Abstract

In the rapidly developing digital era, websites have become the main tool in disseminating information and facilitating interaction, including in the world of education. Jember State Polytechnic has an Information Technology Department with a variety of study programs. However, to meet the needs of students and stakeholders, the quality of the Information Technology Department website must be high. Website quality affects user experience, information understanding, and institutional image. This quality evaluation will encourage website maintenance and improvement in order to continue to provide the best benefits for users in the Information Technology Department of Jember State Polytechnic.This research uses an evaluation method based on ISO 9126 standards to measure and improve the quality of the Information Technology Department website. This standard covers various aspects of quality such as functionality, reliability, usability, efficiency, maintainability, and portability. The evaluation results show that this website meets the standards well, with an overall quality level of 92.2%. It provides guidance for website developers to improve services to stay effective and relevant. 
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.
Desain Backbone System Platform Metabase GIS Data Analysis Berbasis Cloud Rani Purbaningtyas; Moh Munih Dian Widianta; Mochammad Rifki Ulil Albaab
Techno.Com Vol 22, No 4 (2023): November 2023
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v22i4.9236

Abstract

Tujuan dari penelitian ini adalah untuk mengkaji bagaimana kualitas air dan sanitasi mempengaruhi Kejadian Luar Biasa (KLB) Diare di Provinsi Jawa Barat, Indonesia, menggunakan data Pendataan Potensi Desa (PODES) tahun 2021. Diare merupakan permasalahan serius dalam kesehatan masyarakat Indonesia, terutama pada kelompok anak balita, dan salah satu faktor penyebab utamanya adalah rendahnya kualitas air dan sanitasi. Dalam konteks penelitian ini, kami menerapkan metode algoritma K-Nearest Neighbors (K-NN) untuk mengklasifikasikan wilayah-wilayah yang mengalami KLB Diare. Hasil eksplorasi data menunjukkan variasi yang signifikan dalam jumlah kasus diare di sejumlah kabupaten dan kota yang tersebar di wilayah Jawa Barat. Untuk menangani masalah ketidakseimbangan data, kami menerapkan teknik Pengurangan Acak (Random Under Sampling), Penambahan Acak (Random Over Sampling), dan Synthetic Minority Oversampling Technique (SMOTE). Hasil analisis menunjukkan bahwa model K-NN dengan penggunaan metode SMOTE menghasilkan tingkat akurasi tertinggi, yaitu sebesar 71.28%. Meskipun demikian, nilai F1 score untuk semua model cenderung rendah, yang mengindikasikan adanya tantangan dalam mengklasifikasikan wilayah-wilayah dengan KLB Diare. Penelitian ini memberikan wawasan yang penting mengenai korelasi antara kualitas air, sanitasi, dan KLB Diare di Jawa Barat, serta mengidentifikasi wilayah-wilayah yang memerlukan perhatian lebih dalam upaya pencegahan dan pengendalian penyakit diare. Hasil ini dapat digunakan sebagai dasar untuk merancang program-program kesehatan yang lebih efektif di daerah-daerah dengan tingkat insiden diare yang tinggi.