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All Journal Journal of Telematics and Informatics Jurnal Teknologi Informasi dan Terapan (J-TIT) Benchmark Jurnal INFOTEL Jurnal Nasional Teknik Industri, Sistem Informasi dan Teknik Informatika International Journal of Technology, Food and Agriculture The International Journal of Studies in Social Sciences and Humanities (IJOSSH)
Rani Purbaningtyas
Politeknik Negeri Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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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.
Development of MetaPolije : Cloud-Based Metabase GIS Data Analysis Platform Rani Purbaningtyas; Moh Munih Dian Widianta; Mochammad Rifki Ulil Albaab
International Journal of Technology, Food and Agriculture Vol. 1 No. 2 (2024): June
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/tefa.v1i2.4633

Abstract

This study aims to discuss the successful development of MetaPolije. MetaPolije is a platform used for cloud-based spatial-text data analysis utilizing the metabase library. MetaPolije as an alternative solution for users who need a medium for textual data analysis while also displaying precise location data. This platform is developed following the stages of agile method, which consists of several stages, from system requirement to testing. The platform has also undergone functional, validity, and performance testing techniques to ensure its efficiency. The test results have shown that the platform is capable of functioning well according to its intended purpose. Additionally, the platform is able to accurately display visualized data analysis results, including precise location points for each datum. Therefore, it can be concluded that the MetaPolije is a viable platform that meets the standards of functional, validity, and performance testing, making it a dependable and effective tool for data analysis. MetaPolije has been successfully developed by providing the basic features needed by users when conducting spatial text data analysis. The test results indicate that MetaPolije has met the quality testing standards for software based on each specified testing indicator, covering functional, validity, and performance aspects. These features can also be customized according to the users' needs and purposes.
Sneak-App Quality Measurement Using FURPS Model and Euclidean Distance Muhammad Zaky; Ratih Mar’atus Shaliha; Diaz Nuraji; Rr Azzahra Ardian Shafa; Rani Purbaningtyas
Journal of Telematics and Informatics Vol 13, No 1 (2025)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v13i1.

Abstract

Ensuring the quality of Sneak-App is crucial for supporting the operations of Sneak Crafters, a Small and Medium Enterprise (SME) specializing in custom sneakers. This study evaluates the Sneak-App's quality using the FURPS model (Functionality, Usability, Reliability, Performance, Supportability) combined with the Euclidean Distance method. The assessment involved distributing questionnaires to 20 respondents, utilizing a Likert scale (1–4) to measure each FURPS sub-indicator. The results indicate that Sneak-App achieved a final quality score of 65%, categorizing it as a moderately good application. Among the five indicators, Reliability recorded the highest score (93%), indicating strong system stability, while Functionality (55%) and Supportability (56%) had the lowest scores, suggesting the need for improvements in feature completeness and system adaptability. These findings validate the effectiveness of the FURPS model and Euclidean Distance method in identifying software strengths and weaknesses. By addressing key areas for improvement, developers can enhance the application's overall usability and performance. This research provides valuable insights for future software development, emphasizing the need for continuous quality enhancement to optimize Sneak-App's role in automating business processes for SMEs.
Implementation of Metapolije as a mapping tool for marketing distribution data Rani Purbaningtyas; Siska Aprilia Oktavian; Mochammad Rifki Ulil Albaab; Sugeng Hartanto
International Journal of Studies in Social Sciences and Humanities (IJOSSH) Vol. 1 No. 3 (2025): March
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijossh.v1i3.5543

Abstract

Information regarding marketing distribution data plays a crucial role for business actors in formulating their future business strategies. Marketing distribution data enables companies to perform market segmentation more accurately. By understanding the characteristics and preferences of consumers in each segment, companies can tailor their products and marketing messages to meet specific consumer needs. MetaPolije serves as an alternative solution for mapping marketing distribution data. MetaPolije is a web-based platform designed to facilitate user access. It was developed using the Scrum software development method, which consists of four main phases: planning, sprint, sprint review, and sprint retrospective. MetaPolije provides information about the profiles of objects in a given area, along with comprehensive demographic data for that area. The data visualization displays maps down to the sub-district level, which is customized according to partner requests. Similarly, the various categories of objects shown can be adjusted based on user partner requirements. The demographic data displayed comes from the Sidoarjo Regency Statistics Agency (BPS). Therefore, whenever the Sidoarjo Regency BPS releases the latest population data, the MetaPolije platform updated also. The information presented on the MetaPolije platform can be utilized by policymakers to better understand consumers and for crafting marketing strategies that are more suitable and relevant based on existing data. By utilizing MetaPolije, businesspeople gained better data visualization regarding the types of businesses currently present in a particular area. With the support of available demographic data, it can assist in making subsequent decisions related to appropriate business development policies moving forward.
Manajemen kualitas platform metabase GIS data analysis berbasis cloud berdasarkan indikator ISO 9126 Rani Purbaningtyas; Moh Munih Dian Widianta; Mochammad Rifki Ulil Albaab
JURNAL INFOTEL Vol 16 No 1 (2024): February 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i1.1041

Abstract

Platform metabase GIS data analysis based on the cloud that has been successfully developed is an alternative solution for spatial-text data analysis. The output of this cloud-based platform not only provides accurate textual information but also precise location representation of the objects. This research examines the quality of the developed platform based on ISO 9126, which consists of six main indicators: functionality, reliability, feasibility, efficiency, maintainability, and portability. Each indicator has different sub-indicators, totaling 22 sub-indicators. The quality assessment results indicate that the platform for metabase GIS data analysis based on the cloud exhibits excellent quality, with an average test result based on the ISO 9126 indicators reaching 93%.
Co-Authors Diaz Nuraji Didit Rahmat Hartadi Irfan Mazendra Mochammad Rifki Ulil Albaab Moh Munih Dian Widianta Moh Munih Dian Widianta Muhammad Lury Choirul Rizki Muhammad Zaky Nensyah Permadani Rasyidah Aisy Ariyanto Ratih Mar’atus Shaliha Rr Azzahra Ardian Shafa Siska Aprilia Oktavian Sugeng Hartanto