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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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Analisis Keadaan Stunting pada Kelompok Balita di Kecamatan Tukdana dengan Pendekatan Decision Trees Asep Budiyanto; Dodi Solihudin; Ryan Hamonangan; Cep Lukman Rohmat; Ade Rizki Rinaldi
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.v6i1.10230

Abstract

The impact of stunting on babies is an important parameter for assessing the health and welfare of children in an area. Stunting, often triggered by demographic and health factors, has serious implications for children's physical and cognitive growth. This research aims to understand the impact of demographic and health factors on stunting in children in Tukdana District, Indramayu Regency. Through data analysis, factors such as maternal age, access to clean water, sanitation facilities, and baby weight and length status were identified as significant contributors to stunting. The Decision Trees method was used to identify factors that play a role in stunting in babies, with an accuracy rate of 95.43%. The implications of this research include planning more effective interventions to deal with stunting, both in Tukdana District and in similar areas in Indonesia. Even though the majority of babies in Tukdana District have good nutritional status, further monitoring and prevention efforts are still needed to ensure optimal nutritional well-being for them. In conclusion, this research highlights the importance of identifying factors that cause stunting in infants in Tukdana District, as a basis for planning more effective interventions.
Sales Information System: A Case Study at an Indonesian Pharmaceutical Manufacturing Bonfilio Wilson Atmadja; Raymond Sunardi Oetama
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.v6i1.9309

Abstract

The effective design of information systems plays a crucial role in enhancing productivity and efficiency across various industries, particularly in the business sector. For numerous companies, integrating a comprehensive information system has become indispensable, effectively reducing risks such as human errors, fraud, and data inaccuracies. This study suggests developing a web-based information system specifically optimizing the sales process. The Rapid Application Development methodology has been chosen for system design to achieve this objective. This approach utilizes XAMPP as the web server, Visual Studio Code as the code editor, PHP as the programming language, CodeIgniter as the framework, and MySQL for the database. Implementing this information system offers several advantages for the organization, addressing current issues and enhancing operations. It streamlines the management of sales-related data by automating various processes. Additionally, the system simplifies the generation of crucial documents like sales reports, invoices, component selection, and delivery orders. These reports serve as invaluable resources for analysis and decision-making, empowering the company to plan and develop future business processes efficiently. The data reveals an impressive average user acceptance score of 97.1%, highlighting substantial user satisfaction and endorsement.
Klasifikasi Tumor Otak menggunakan Convolutional Neural Network dan Transfer Learning Muhammad Hasan Fadlun; 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.v6i1.10318

Abstract

Brain tumor is an uncontrolled growth of cells in the form of a mass or tissue within the brain, capable of producing both cancerous and non-cancerous symptoms. Brain tumors are part of a group of tumors involving the nervous system, including tumors in the spinal cord and peripheral nerves. It is not a common disease, and prompt intervention is necessary to receive timely medical treatment or appropriate therapy. This research aims to apply Deep Learning techniques in the automatic classification of brain tumors. In this study, a dataset of brain MRI images covering various types of brain tumors was used. The dataset consisted of 3264 MRI images with four classes: glioma, meningioma, pituitary, and no tumor, obtained from Kaggle.com. The system utilized a pre-trained CNN architecture, EfficientNet-B0, trained on the ImageNet dataset. In the Transfer Learning phase, fine-tuning was performed on the last layers of the CNN to adapt it to the brain tumor image dataset. The Convolutional Neural Network model was trained using MRI images to identify important features related to brain tumors. Subsequently, with Transfer Learning, the knowledge acquired by the pre-existing model was adopted and applied to a new dataset to enhance model performance. The application of Deep Learning techniques in the automatic classification of brain tumors provides significant benefits in medical practice. With this system, doctors and radiologists can obtain more effective assistance in diagnosis and treatment planning. The ability to automatically recognize brain tumors with high accuracy also enables the adoption of this technology in various medical facilities, thereby improving the accessibility of testing and treatment needed by patients. The results of this research demonstrate that the CNN and TL methods successfully achieved high performance, including an epoch accuracy of 0.9981 or 99%, a loss of 0.0061, and an evaluation with values generated by the confusion matrix showing high precision of 0.98 or 98%, recall of 0.98 or 98%, and an F1-score of 0.98 or 98%. This study illustrates the significant potential of implementing Deep Learning techniques, particularly CNN and TL, in the automatic classification of brain tumors. Advances in this field can contribute significantly to improving the diagnosis, treatment, and prognosis of brain tumor patients, accelerating efforts to address this complex disease.
Sistem Informasi Monitoring Barang Berbasis Web di CV. Rekam Media Indonesia Afif Lukman; Nugroho Eko Budiyanto
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.v5i2.9052

Abstract

CV. Rekam Media Indonesia is a company engaged in the field of photography and videography equipment rental services. The problem that occurs in the current system is that for the processing of adding daily rental data, adding rental equipment and sales of goods that are old enough to collect data manually and separately, so that the process of doing so takes quite a long time and difficulties in do time efficiency. The purpose of this research is to create a WEB-based goods monitoring information system that will be used at the Rekam Media Indonesia office. The development method used in this research is the Waterfall Method and the information system that has been produced will later be able to manage daily incoming and outgoing camera rental records, then purchase data for tools as well as sales of rental equipment on one web platform so that it makes work easier and easier. can develop on other matters related to promotion or production.
Analisis Sentimen Komentar Pengguna Youtube terhadap Kebijakan Baru Badan Penyelenggara Jaminan Kesehatan Sosial Menggunakan Naïve Bayes Muhamad Taufik Sugandi; 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.v6i1.10301

Abstract

Many social media platforms are used by the public to express opinions and seek information. YouTube is a media sharing site, a kind of virtual entertainment for sharing video and audio media. YouTube has become one of the most popular video viewing platforms today. There are various topics discussed in YouTube videos, one of which is the discussion about the new policy of removing class 1, 2, and 3 systems and replacing them with the Standard Inpatient Class (KRIS) system in the Social Security Administrator (BPJS) for Health. Health is also a very important issue and is still a topic that is frequently discussed everywhere and anytime. BPJS for Health greatly helps the public in overcoming the declining economy, with the existence of BPJS for Health the public does not need to pay for medical expenses. Therefore, sentiment analysis will be conducted on the services provided by BPJS for Health to determine whether public opinion about BPJS is positive, neutral, or negative. The algorithm used is Naïve Bayes. In this sentiment analysis, 2,968 datasets were crawled from YouTube using several keywords related to BPJS for Health. Based on the research results using the Naïve Bayes algorithm, the highest accuracy of the model on the test data reached 96% with a ratio of 80:20. This indicates that the model is capable of classifying sentiment in comments well. This study is dominated by positive sentiment comments at 45.9% or 1,354 data out of a total of 2,948 comment data, indicating strong support for the new policy and many who are very helped by the services of BPJS for Health.
Analisis Data Sentimen Ulasan Aplikasi Dana di Google Play Store Menggunakan Algoritma Naïve Bayes Windy Astuti; 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.v6i1.10272

Abstract

In an era of rapid technological advancement, mobile applications, especially e-wallets such as Dana Apps, are becoming increasingly easy to use for digital payment transactions. This innovation drives research on how digital payment platforms build information systems and business strategies through digital platforms. To compete in a growing industry, companies must produce products and services that meet customer needs. Internet user opinions, especially about apps, are important in gathering information. This research focuses on analyzing the sentiment data of Dana App reviews on the Google Play Store using the Naïve Bayes classification algorithm which is well known for its accuracy and high data processing speed. The results show that the 80:20 ratio provides an accuracy rate of 50.21%, precision and recall of 0.00% each, This research has a significant impact on the information technology industry, providing guidance for practitioners and researchers in choosing sentiment data analysis methods. The implementation of the Naïve Bayes algorithm can improve the interaction between users and applications, support innovation, and contribute to the overall development of information technology.
Pengembangan Sistem Informasi Geografis Masjid di Kelurahan Telanaipura, Kelurahan Legok dan Kelurahan Murni Berbasis Website Apriani Yuyun Saputri; Try Susanti; Imam Arifa’illah Syaiful Huda
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.v6i1.9832

Abstract

Technology, especially Geographic Information System (GIS) technology, can make it easier and faster for users to check data through online mapping as a whole. GIS will display the places on the earth's surface, one of which is the location of the mosque. Due to the large number of mosques in Jambi Province and the lack of accurate and comprehensive mosque information, it is still difficult for the Indonesian Mosque Council (DMI) to find and supervise all mosque activities. Therefore, researchers created a Mosque Geographic Information System to help collect mosque data, search for mosque locations, and integrate mosque data. The system development method used is the SDLC method with the waterfall model, with the PHP programming language and MySQL database. The results obtained from the GIS website for this mosque are capable of displaying a geographic information system that displays mosque information, so that it can assist in searching for mosque information and data quickly and accurately.
Pemanfaatan Wifi Repeater sebagai Solusi Peningkatan Sinyal Wifi bagi Mahasiswa di Lingkungan Kostsehati Kayuwalang dengan Metode Drive Test Ferdi Ferdiansyah Ferdiansyah; Bambang Irawan; Agus Bahtiar
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.v6i1.10323

Abstract

Wi-Fi has become the most popular Internet connection among the general public due to its wireless accessibility. However, the limited signal range of Wi-Fi poses challenges. This issue is also prevalent in the environment of Kostsehati Kayuwalang. Specifically, the Wi-Fi signal in the vicinity of room number 6 has been inaccessible within a 50-meter radius, making it difficult for mobile phones and laptops to capture signals, thus causing disruptions when within this area. To address this problem, researchers introduced a signal boosting device, the Wi-Fi Range Extender Pro, to expand the Wi-Fi signal range.The research methodology encompassed Analysis, Design, Implementation, Testing, and Maintenance phases. The findings indicate that the optimization of signal range in Rancaekek Wetan village using the Wi-Fi Range Extender Pro was successful. It has been demonstrated that installing the Wi-Fi extender device allows for coverage in areas previously unreachable by the main Wi-Fi signal, thereby enabling access to the Internet upon installation of the repeater device.However, during speed tests, disparities in received bandwidth were observed. In the main Wi-Fi area, download bandwidth reached 28 Mbit/s depending on the frequency radius, whereas in areas with poor Wi-Fi coverage, download bandwidth was measured at 6.8 Mbit/s, and upload bandwidth at 4.0 Mbit/s. These discrepancies are attributed to bandwidth issues. Therefore, current plans should incorporate bandwidth management implementation and the installation of Wi-Fi repeater devices (Wi-Fi Repeater Extender Pro).
Evaluasi dan Pengembangan Sistem Laporan Stok Barang Menggunakan Enterprise Resource Planning (ERP) Arif Prayogi; Noviandi Noviandi
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.v6i1.9144

Abstract

Stock or inventory is crucial for the company because stock availability will determine the continuity of the transaction to be carried out. At PT. Citra Prima Kharisma, the reporting system is still manual using Microsoft Excel and stock cards, so stock reports are often inaccurate and real-time. This study aims to develop a reporting system with an ERP concept that integrates the sales department with the warehouse department so that the resulting stock reports are accurate and can be viewed in real-time. The system development methodology is used by applying the ERP implementation methodology, where methodology consists of the initial stage, the analysis phase, the construction phase, and the operational phase. This research produces an ERP-based reporting system that integrates data from each department, allows direct data exchange and ensures the consistency and accuracy of information. This system is able to present information in real time and produce accurate reports according to the quantity and condition of goods. This provides significant advantages in stock management and increases the operational efficiency of the company. System testing using SUS showed good acceptance with a score of 75.75 indicating a good level of acceptance of system quality and performance.
Analisis Sentimen Review Hotel Menggunakan Metode Naïve Bayes pada Hotel di Wilayah Kota Cirebon Muhamad Jihad Andiana; 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.v6i1.10312

Abstract

Cirebon, a city in West Java, Indonesia, is known for its various tourist attractions, including culinary and historical sites. However, finding the right accommodation can be a challenge. To address this issue, a study has analyzed 875 hotel reviews in Cirebon from Google Maps, using the Naive Bayes method and the TF-IDF algorithm. The aim of this study is to help tourists get a better picture in choosing a hotel. The results show that this algorithm successfully achieved an accuracy of 90.52% in identifying whether the review was positive or negative. Even without the use of the SMOTE operator, the accuracy remains high, at 75.66%. So, this study provides a data-based solution for choosing a hotel in Cirebon.

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