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INDONESIA
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 Reservasi Kunjungan Desa Wisata Berbasis Web Studi Kasus di Desa Wisata Lerep Mustagfirin Mustagfirin; Dani Setiawan; Arif Rifan Rudiyanto
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.v5i2.7986

Abstract

The Tourist Village Visit Reservation System is a system that manages all information provided at a tourist destination. Lerep Tourism Village previously did not have a system that allowed data processing quickly and easily. The current reservation system is still manual, meaning that if prospective visitors want to enjoy the activities of the Lerep Tourism Village, they must come directly to the administration or make a reservation by telephone and the documentation of newly entered data and visit schedules has not been organized properly and quickly in this problem, researchers created a web-based information system developed using the waterfall method and supported by a MySQL database for data processing. With this information system, prospective visitors quickly report the visit schedule up to date. The end result is an online Lerep Tourism Village Visit reservation system.
Sistem Informasi Pendaftaran Siswa Baru Berbasis Web pada MA Futuhiyah Jeketro Syifa Nur Hanna; Rony Wijanarko
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.v5i2.9050

Abstract

The need for communication and information today in a school infrastructure is very necessary. One of them is the school registration information system to make it easier to access information to all prospective new students. So it is necessary to use information technology to improve quality, efficiency and productivity for education management. This system was created using the waterfall method and the PHP programming language, and MYSQL as the database server. So that this system will make the process of data collection and administration easier and faster. Thus it can provide benefits in time efficiency and also energy.
Klasifikasi Penentuan Tingkat Penyakit Demam Berdarah dengan menggunakan Algoritma Naïve Bayes (Studi Kasus Puskesmas Nagreg) Saeful Anwar; Revita Lestari Faujiah; Tuti Hartati; Edi Tohidi
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.v6i1.10299

Abstract

The rapid development of science and technology, especially in the field of information technology, can give rise to new innovations for presenting and managing information to meet information needs. The role of technology in the health and medical fields has helped a lot in helping the human spirit and has shown its importance. Dengue Hemorrhagic Fever (DHF) is a disease that occurs in children and adults with the main symptoms of fever, muscle and joint pain, which usually gets worse after the first two days. DHF is a public health problem in Indonesia where the number of sufferers tends to increase and its spread causes bleeding. Dengue fever is characterized by sudden high fever lasting 2-7 days without a clear cause accompanied by manifestations such as petechiae, epistaxis sometimes accompanied by vomiting of blood, diarrhea, decreased consciousness, tendency to cause shock and death. The Naïve Bayes algorithm is a form of data classification using probability and statistical methods. The algorithm uses Bayes' theorem and assumes that all attributes are independent or not interdependent given the values of the class variables. Another definition says that Naïve Bayes is a classification using probability and statistical methods discovered by the British scientist Thomas Bayes, namely predicting future opportunities based on previous experience. Proceeding to the final stage, the final stage or step is to see the level of accuracy or how well the classification of the model we are using is.
Implementasi Algoritma Regresi Linear Berganda untuk Memprediksi Biaya Asuransi Kesehatan Bagas Al Haddad; Agus Bahtiar; Gifthera Dwilestari
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.v6i1.10262

Abstract

Technological developments such as telemedicine and big data analysis have had a significant impact on the health insurance industry. It is very difficult to make wise decisions if customers do not understand the cost of insurance. Age, gender, medical history, region, smoking, and body mass index (BMI) are a number of variables used to determine the variables that contribute to health insurance costs. Multiple linear regression was used to identify variables that contribute to predicting relative health insurance costs. Multiple linear regression analysis, also known as multiple regression analysis, is a regression model that involves more than one independent variable. This is determined by using statistical software to determine which independent variables have a significant influence on the dependent variable. The value of using multiple linear regression is primarily related to the need for prediction of insurance costs. In the RapidMiner tool, the linear regression operator is used to perform linear regression calculations. From a total of 1338 datasets, the data is divided into two parts. 90% is used as training data (with a total of 1204 data) and 10% is used as test data (with a total of 134 data). The results of the analysis show that independent factors such as smoking status, age, and body mass index have a significant correlation with insurance premium costs. The value 5891.019 was generated from model evaluation using Root Mean Squared Error (RMSE). The strong correlation between smoking status and premium costs, along with positive correlations with age and body mass index (BMI), suggests that premium costs increase with increasing age and weight category.
Penerapan K-means Clustering untuk Pengukuran Kinerja Programmer di Software House Alya Fitria; Taufik Ardiansyah Putra; Syahiduz Zaman
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.v6i1.9701

Abstract

Performance evaluation of programmers plays a crucial role in maintaining efficiency within a software development company. This study proposes the implementation of K-means clustering as a method to measure and categorize programmer performance based on several criteria. The proposed approach involves assessing code quality, productivity, technical skills, team collaboration, and problem-solving abilities. By applying the K-means clustering method, programmers can be grouped into different performance clusters, allowing for the identification of high, moderate, and developmental performers. The K-means clustering method divides data into clusters related by calculating the distance between data points and cluster centers, and iterates until stable clusters are formed..
Development of Android Media in Learning Islamic Religious Education and Character by Believing in Allah's Books for Class VIII Students Mustagfirin Mustagfirin; Achmad Munib; Aris Abdul Ghoni; Sumardi Sumardi
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.v6i1.10847

Abstract

A communication tool and source of information in learning, one of which is the use of Learning Media. This requires careful teacher position in selecting the use of media in the educational process to be able to increase student motivation in learning with the benefits of learning, namely: 1) the educational process becomes more interesting, 2) the learning process becomes more efficient and effective, 3) saves energy and time . In reality, in Islamic Religion and Character lessons with the material of Believing in Allah's Books, students often experience difficulties in learning this knowledge. Difficulties faced by students in studying Islamic Religion and Character lessons with the material of Believing in Allah's Books. Based on the results of surveys and observations at SMPN 2 Dempet Demak, it was revealed that the main challenges faced by students regarding understanding the material "Understanding the Books of Allah" at school were due to several factors. One of them is the difficulty in capturing the essence of the material presented in books and presentation slides. The traditional teaching approach by teachers is also a major factor in reducing students' enthusiasm and motivation for learning. The increasingly varied use of media is a challenge for teachers in carrying out their duties as teachers in schools in order to achieve learning goals. The use of smartphones which are easy to carry, easy to access and affordable as a medium for learning will have a big impact on students. Apart from facilities that are relatively new, students will be more interested in using facilities that are "current" and familiar to students' situations in everyday
Analisis Keamanan Website Menggunakan Standar Keamanan Open Web Application Security Project (OWASP) Studi Kasus Website Penerimaan Mahasiswa Baru Universitas Wahid Hasyim Semarang Ahmad Zaini; Rony Wijanarko
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.v5i2.9351

Abstract

Wahid Hasyim University has a website that contains information and documents that are published and can be accessed by users. One of the most crucial websites is the New Student Admissions (PMB) website. The rise of population data leaks in Indonesia has opened our eyes that behind the advancement of digital technology there is a fairly high level of threat. Based on the existing problems, an analysis of the level of website security is needed by using the Open Web Application Security Project (OWASP) security standard, which can ease the burden on system managers and developers with the aim of preventing and overcoming the effects of risks found on the New Student Admissions website at Wahid Hasyim University Semarang. Testing the security system used by researchers in this study is using the Open Web Application Security Project's security standard (OWASP), which is the top 10 of the security standards released by the organization (OWASP) which contains the 10 highest lists of security holes that threaten the security of a website, and using (OWASP-ZAP) Zed Attack Proxy is an application used in penetration testing to find security vulnerabilities/holes in a website application. The test method with (OWASP) can provide assistance in choosing the actions that need to be taken to minimize data leakage vulnerabilities. Based on the results of the analysis using (OWASP-ZAP) several loopholes and vulnerabilities were found on the website. Based on the results of the penetration test, the quality of website security for New Student Admissions is at a moderate level, so further corrective action is needed from the website developer to improve website security.
Penerapan Algoritma Naive Bayes pada Analisis Sentimen Ulasan Aplikasi Whoosh – Kereta Cepat Di Google Play Store Tuti Hartati; Rachmat Trikar Sohadi; Edi Tohidi; Edi Wahyudin
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.v6i1.10307

Abstract

Sentiment analysis of user reviews on mobile app distribution platforms is a complex and crucial issue, especially with the rapid growth of the number of users and the volume of reviews. This research focuses on the application of Naive Bayes Algorithm to analyze the sentiment of user reviews of WHOOSH app on Google Play Store. Naive Bayes algorithm was chosen due to its efficiency and easy implementation. Using a dataset of 500 cleaned and labeled reviews (positive or negative), the model was trained and achieved 81.25% accuracy. The high precision for the positive class (90%) demonstrates the model's ability to correctly identify positive reviews. Although the recall of the positive class is high (94%), the recall of the negative class still needs to be improved (64%). Overall, the Naive Bayes model is effective for classifying sentiment in WHOOSH user reviews, but needs to improve the accuracy and recall of negative classes.
Analisis Data Stok Alat Kesehatan menggunakan Metode Regresi Linier Berdasarkan Nilai RMSE Trian Nurmansyah; 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.v6i1.10275

Abstract

Inventory of healthcare equipment, whether in hospital or clinic settings, represents a significant investment requiring substantial cost allocation. However, estimating these equipment needs often relies solely on the overall available stock, as monthly or yearly requirements tend to fluctuate. Consequently, this approach leads to an inability to meet all necessary equipment needs, resulting frequently in surplus inventory. Therefore, anticipating this issue requires predicting healthcare equipment stock at Klinik Pembina Sehat. This study aims to forecast equipment stock using the linear regression algorithm method. The selection of this algorithm is due to its suitability in handling the linear relationship between dependent and independent variables. Research findings demonstrate the developed model's ability to predict healthcare equipment stock with a reasonably high level of accuracy, with a Root Mean Square Error (RMSE) value of 93.359. This value signifies a relatively low prediction error, indicating the model's precision in estimating stock requirements. Thus, this research holds the potential to enhance operational efficiency in managing healthcare equipment stock within the clinic and serves as a foundation for further studies to improve stock planning processes in similar healthcare institutions.
Analisis Asosiasi Data Penjualan Produk Mega Baja Cipondoh Kota Tangerang Menggunakan Algoritma Fp-Growth Kamelia Faridah; 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.v6i1.10221

Abstract

Mega Baja Cipondoh, a construction material store in Tangerang, is experiencing suboptimal sales and revenue decline. This research addresses the issue through Fp-Growth algorithm application in sales data analysis using RapidMiner. With a minimum Support of 0.002, minimum Confidence of 0.8, and lift value of 1, six significant association rules are identified. For instance, 10.4% of transactions involve purchasing both Hollo Galvanis and Pipa Galvanis. Customers buying Hollo Galvanis have a 9.6 times higher chance of also purchasing Pipa Galvanis, achieving a 100% success rate. Implementation of these findings is expected to enhance Mega Baja Cipondoh's sales strategy, optimize sales, and improve customer satisfaction, laying the groundwork for future developments in construction material sales data analysis.

Page 13 of 23 | Total Record : 222

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