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Arief Hidayat
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Jurnal Informatika dan Rekayasa Perangkat Lunak
Published by Universitas Wahid Hasyim Semarang
ISSN : 26562855     EISSN : 26855518     DOI : http://dx.doi.org/10.36499/jinrpl
Core Subject : Science,
Computer Science & IT
Journal of Informatics and Software Engineering accepts scientific articles in the focus of Informatics. The scope can be: Software Engineering, Information Systems, Artificial Intelligence, Computer Based Learning, Computer Networking and Data Communication, and Multimedia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Perangkat Lunak
Articles 222 Documents
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Sistem Informasi Penyimpanan Barang Berbasis Web pada Gudang Sakti Muhammad Afnan Wicaksana; Akhmad Pandhu Wijaya
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 2 (2023): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i2.7988

Abstract

Sistem informasi merupakan salah satu faktor yang penting bagi perusahaan dalam kegiatan operasional perusahaan yang digunakan untuk mengumpulkan, mengolah, dan menyediakan informasi. Untuk itu perusahaan sudah mulai menggunakan sistem informasi dalam melakukan pekerjaan. Gudang Sakti merupakan tempat usaha yang masih menggunakan cara manual untuk pengolahan dan penyimpanan data produk, barang masuk, barang keluar beserta masing-masing laporan yang ada. Hasil dari penelitian ini berupa sistem informasi penyimpanan barang berbasis web untuk Gudang Sakti. Metode pembangunan perangkat lunak yang digunakan adalah model air terjun atau yang biasa disebut dengan Waterfall. Sistem penyimpanan barang berbasis web dapat mengelola data barang, data pembelian, data penjualan, data supplier, profil admin, profil perusahaan, dan data transaksi pembayaran. menghasilkan laporan data pembelian, data penjualan, data keuntungan, dan data transaksi sehingga mempermudah bagi admin gudang.
Implementasi Navigation Meshes pada Aplikasi Navigasi Augmented Reality Berbasis Android Rinto Herlambang Apriliyanto; Sri Wulandari
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10297

Abstract

Augmented Reality is a technology that combines two-dimensional or three-dimensional virtual objects into a real environment and projects them in real time. Navigation Meshes is a 2D polygon pathfinding technology used to automatically find paths by determining which areas are allowed or not allowed for a designated agent (unit) to pass through. . Navigation Meshes (NavMesh) has become a popular concept often used in 3D game shortest pathfinding problems, as most 3D environments use polygon structures. Navigation Meshes is indeed popularly used in games, specifically applied to NPCs and players to navigate through designated areas. But what if this NavMesh is applied in a real environment using Augmented Reality technology. In this research, the author will implement NavMesh in an Android-based Augmented Reality navigation application for smartphones to help users navigate and find rooms on the first floor of the front building of the Universitas Teknologi Yogyakarta. In designing this application, the author uses the MDLC method, which consists of concept, design, material collection, creation, testing, and distribution.
Analisis Data Sentimen Pemain Game Role-Playing Game (RPG) Honkai Star Rail dengan Algoritma Naive Bayes Yudis Firmansyah; Rudi Kurniawan; Yudhistira Arie Wijaya
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10243

Abstract

In the rapidly evolving digital age, the gaming industry has experienced significant growth. One of the games that is currently popular is Honkai Star Rail. This research uses Honkai Star Rail game player reviews as the object of sentiment data research. However, the problem found in sentiment data analysis is the existence of reviews that provide positive or negative ratings as a response from players. There are situations where these labels do not fully reflect the true essence of whether the response is positive or negative, so it is necessary to analyze sentiment data. The purpose of this sentiment data research is to assess the performance of the naive bayes model in classifying sentiment by finding the best accuracy value and AUC value from 3 scenarios of sharing test data and data. The method in this study uses the Naive Bayes algorithm, this algorithm was chosen because it is suitable for classification problems. The test results with 3 dataset sharing scenarios (60:40, 70:30, and 80:20) show that the accuracy value reaches the highest value in scenario 2 (70:30) which is 86%. The precision value also reaches the highest value in scenario 2, which is 84%, the recall value reaches the highest value in scenario 2, which reaches 89%. And the highest AUC (Area Under the Curve) value is obtained from scenario 2 of 0.92 with the excellent classification category.
Studi Literasi Tersistematis Implementasi Metode-Metode Pengembangan Sistem Informasi Berbasis Basis Data Terdistribusi Endang Lestariningsih; Rara Sriartati Redjeki; Edy Supriyanto; Hari Murti; Eka Ardhianto; Eko Nur Wahyudi; Widiyanto Tri Handoko
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.9314

Abstract

Information systems cannot be separated from a database as the main database. As time goes by, the amount of data processed by information systems increases significantly. Currently, databases are not only stored in one storage media location, but can also be stored in different locations and locations. This is also supported by advances in network technology, both hardware and supporting software. The distributed database system model provides significant support for processing data stored in different locations. Many information system implementations use the concept of a distributed database system. The aim of this research is to study the development of database system implementation using distributed database system technology. This research uses a systematic literature observation approach. The results obtained are that the concept of a distributed database system is still used today to support information system governance that produces information tailored to user objectives. Systems created using development techniques based on the distributed database concept have advantages in several aspects of development.
Clustering Status Gizi Balita menggunakan Metode K-Means pada Posyandu Desa Mekar Wangi Muhamad Djaelani; Martanto Martanto; Umi Hayati
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10321

Abstract

The health of children under five is very important in the development of a country. Toddler nutrition is a key aspect in ensuring the healthy growth and development of children. This study aims to analyze the clustering of nutritional status of toddlers in Mekar Wangi village using the K-Means algorithm. Clustering analysis is a data mining analysis method that is influenced by the clustering algorithm method. The nutritional status of toddlers at the posyandu in Mekar Wangi Village is grouped based on certain metrics, such as body weight and height, using the K-Means Clustering technique. Data contains a lot of attribute information. Once the data is collected and analyzed, pre-processing is performed to remove invalid and empty data. The results of the clustering analysis show that some groups of toddlers have normal nutritional status, while other groups have less or more nutritional problems. The optimal Davies Bouldin Index (DBI) performance evaluation value was found using the RapidMiner tool with K2 and the value of 0.164 which is close to 0 indicates that the evaluated cluster produced a good cluster. With a better understanding of the nutritional patterns of toddlers in Mekar Wangi Village, Posyandu officers can developing a more efficient program to improve the nutritional quality of children in Mekar Wangi Village. Posyandu officers can assist in decision making to develop more targeted recommendations and interventions to improve the nutritional status of toddlers in Mekar Wangi village.
Sistem Informasi Penyewaan Barang Elektronik pada CV. Mundi Mulya Pratama Abu Tholib; Moch Subchan Mauluddin
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 2 (2023): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i2.9053

Abstract

The growth of today's technology is developing very fast, most people cannot be separated from the internet world. This has a positive impact on getting updated information in this final project, the author tries to take advantage of this opportunity to create a web-based information system. This system is the stage in system development that is not too complicated starting from the analysis and definition of system requirements that will be made after that the design and implementation stages of system integration and testing after that the system maintenance stage the results obtained by the author can create an electronic goods rental information system that can carry out goods rental transactions in the form of 5 units of laptops and 4 units of printers and it is also hoped that the Goods Rental Information System can facilitate matters of leasing goods by ordering goods via online without coming to the company.
Analisis Sentimen Aplikasi Shopee di Goole Play Store Menggunakan Klasifikasi Algoritma Naïve Bayes Moch Rifki Firdaus; Nining Rahaningsih; Raditya Danar Dana
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10302

Abstract

Through Information Technology (IT), the internet is now used to encourage business and market activities. This research aims to conduct sentiment analysis of Shopee application reviews on the Google Play Store platform by applying the Naïve Bayes algorithm classification method. As one of the leading e-commerce applications, Shopee relies heavily on user feedback to continuously improve the quality of its services. A deep understanding of customer sentiment revealed in app reviews can be the foundation for continuous improvement and improvement. The Naïve Bayes algorithm classification method was implemented to categorize sentiment in customer reviews on the Shopee application on the Google Play Store. The data used involves a large number of reviews covering various aspects of the application. The sentiment analysis process involves data prepprocessing, feature extraction, and Naïve Bayes mode training. The results of this research provide an overview of how users respond to the Shopee application, identifying positive, neutral and negative sentiment patterns that may influence the application's reputation and popularity. These findings can be a guide for application developers to focus on certain aspects that influence user satisfaction. In addition, the application of the Naïve Bayes algorithm classification method proves its reliability in identifying customer sentiment efficiently, contributing to a deep understanding regarding the use of this algorithm in the context of analysis sentiment on the application platform.
Analisis Data Sentimen Ulasan Pengguna Aplikasi Shopee di Google Play Store dengan Klasifikasi Algoritma Naïve Bayes Wartumi Wartumi; Rudi Kurniawan; Yudhistira Arie Wijaya
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10273

Abstract

This research focuses on analyzing sentiment data from users of the Shopee e-commerce application using the Naïve Bayes Algorithm method. From 1000 datasets obtained from web scraping, reviews were analyzed to classify sentiment into positive or negative. With a ratio of 80% training data and 20% test data, the model developed achieved an accuracy of 95.5%. The classification results show precision 86.76%, recall 1%, and f1-score 92.91%. Even though the recall is low, the high accuracy shows that the model has good performance in predicting sentiment data. Recommendations can be provided to Shopee developers to improve customer satisfaction based on this sentiment data analysis.
Penerapan Metode Hybrid Multi Criteria untuk Penilaian Mahasiswa Berprestasi Rizal Furqan Ramadhan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10089

Abstract

Higher education is an educational institution that educates students as objects of education to be prepared for the world of work by being equipped with theoretical and practical skills. With increasingly tough demands and intense competition in finding work, it is necessary to assess students regarding the academic and non-academic activities they participated in and pursued while still in college. With the rapid movement of information technology, an assessment of student achievement can be implemented using an information technology system using the Decision Support System concept with multi-criteria techniques. The Decision Support System has a basic function to simplify and assist leaders or managers in making decisions. The decision in this research topic is outstanding students. The research uses the Hybrid Multi Criteria method. Hybrid is a combination of 2 methods in the system but runs according to their respective functions. The 2 multi-criteria hybrid methods applied include Simple Additive Weighting and Weighted Sum Model. The data used is 22 students from UIN Sayyid Ali Rahmatullah Tulungagung. The results of the two methods are almost the same, namely MHS8 and MHS10 are in the first and second positions respectively, then for the third position and so on there are differences between the two Hybrid methods. Based on the output results from the Hybrid Multi Criteria method, it can be concluded that the Simple Additive Weighting and Weighted Sum Model methods are ideal for helping provide decisions to leaders in a university to decide which students fall into the achievement category.
UI dan UX Aplikasi Peminjaman Kendaraan Dinas Operasional pada Sudin Pusip JT Eddiansyah Ragil Saputra; Susy Rosyida
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.9160

Abstract

The East Jakarta Library and Archives Sub-agency has operational official vehicles that can be used by employees in carrying out tasks outside the office. The process of borrowing operational official vehicles is done manually, by way of employees coming to the general section to apply for a vehicle loan and the general section to check the vehicle. Applications for loaning operational service vehicles are often made from other employees, due to a lack of information regarding vehicle loan data and no information regarding vehicle loan reports. With this problem in mind, a User Interface (UI) and User Experience (UX) design was carried out using the design thinking research method aimed at the needs of prospective users, and using the User Persona and figma tools to focus on target users who will use the system display. The operational official vehicle loan information system can make it easier for employees to borrow vehicles and avoid borrowing carried out simultaneously.

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