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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 10 Documents
 1 
Search results for , issue "Vol 5, No 1 (2023): Maret" : 10 Documents clear
Rancangan Sistem Klasifikasi Kekurangan Gizi Balita Dengan Metode K-Nearest Neighbor Syahrani Lonang; Anton Yudhana; Muhammad Kunta Biddinika
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7834

Abstract

 Malnutrition in toddlers is a serious problem faced by developing countries like Indonesia, and the resulting long-term effects can reduce the intelligence of toddlers. The classification of the nutritional status of children under five is still carried out conventionally in community health centers. The K-Nearest Neighbor algorithm is included in a machine learning algorithm that can be used to classify one of the nutritional status classification problems. K-NN is used as a class determination algorithm for new data to be input according to the format. This research begins with a literature study, then identifies needs, followed by data collection that is planned to be used in the system to be built as well as a reference for making the design and the final stage of system design. This research succeeded in creating a system design using the Unified Model Language (UML), one use case that contains four functional systems, including uploading dataset files, displaying datasets, testing the accuracy of datasets, predicting new data, and designing system interfaces that will make system development easier..
Klasterisasi Pendidikan Masyarakat Untuk Mengetahui Daerah Dengan Pendidikan Terendah Menggunakan Algoritma K-Means Nurahman Nurahman; Diana Dwi Aulia
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7510

Abstract

Education is a basic need for every human being who plays an important role in the future of the nation, because a nation that is said to be advanced can be seen from its good learning system. Successful education is measured by the average number of graduates at various levels of education in various regions. But not all regions are good in the quality of education. One of them is the area in Indonesia, such as the Kapuas district, Central Kalimantan. It is known that in previous years this area lacked improvement in education, causing several areas where people did not go to school or dropped out of school. Many of the problems are caused by economic factors, laziness, lack of motivation about the importance of education, and so on. The previous Covid-19 pandemic was also the reason for the increase in the number of children dropping out of school due to a declining family economy. The number of areas in Kapuas district requires grouping the number of existing villages. The grouping aims to make it easier for the government to pay special attention to areas where education is considered lacking and other purposes are to find out which villages have low levels of education. In grouping, the system applied is data mining using the K-Means Algorithm Clustering method which is processed using rapidminer software. The groupings formed on the education level data of 229 records are 8 clusters where the lowest education villages are stated in (C1) with a total of 33 villages.
The IT Governance Measurement using Cobit 5 Framework in Quality Assurance Department Ali Nurdin; Muharman Lubis
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7963

Abstract

This research is conducted to measure and evaluate of IT governance at quality assurance department of XYZ university. The measurement used the COBIT 5 framework by Process Assesment Model. The objective of this research is performing the measurement and evaluation of the IT Governance in the Quality Assurance Division of XYZ University with DSS domains in COBIT 5 Framework. The approach utilized the primer data from interview and questionaire, and secondary data from observation and document stages. The result of this research show the most of the capability level process of IT Governance are at Level 1 (performed) they are 4 processes form DSS domain (DSS01, DSS04, DSS05, DSS06) and at Level 2 (DSS02, DSS03). The conclusion of this research show most of the process perform capability level 1 today.
Panduan Pengukuran Perangkat Lunak Metode Function Point Serta Implementasinya pada Website Pemesanan Tiket Bus Rizky Parlika; Ahmad Maghfur’ Ali; Ardiana Deka Maharani; Bregsi Atingsari Julastri; Syalum Marsya Pruista
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.6633

Abstract

Measuring software quality is an important thing for software engineering. The purpose of applying measurements to software processes is to find out how complex and useful the software is. The measurement method used is Allan Albrecht's method, namely the Function Point Analysis method, which was developed by the International Function Point User Group (IFPUG). In this study, the authors measured the quality of a bus ticket booking website. Prior to the measurement stage, the authors compiled a module that contains the limitations of each point so that it can be used as a guide for scoring at each measurement stage, namely the stage of calculating the Crude Function Point (CFP) and Relative Complexity Adjustment Factor (RCAF). A calculator application is also made that can automatically calculate the total of function points so that it can make measurements easier. After the total Function Point value of the website is found, the total value can be used to predict the price or cost of making the software.
Implementasi Business Intelligence untuk Analisa dan Visualisasi Data Penyebab Kematian Di Indonesia Menggunakan Platform Tableau Lathifah Dini Rachmawati; Firman Noor Hasan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7584

Abstract

Factors causing death in Indonesia are increasing, and many of them cannot identified with certainty. This study aims to identify the most common causes of death in Indonesia. such as causes of death due to social disasters, causes of death due to natural disasters, and causes of death due to non-natural disasters and diseases. This study employs a dataset method from www.kaggle.com with a time span of 2012-2021. The results of this study are reports in the form of a visualization dashboard using Tableau that contains information on the most common causes that occur in Indonesia with a range from 2012 to 2021 so that it can be used as a reference to support decision-making. In conclusion, the number of deaths in 2012–2021 was caused by the highest number of deaths due to natural disasters caused by earthquakes and tsunamis, which accounted for 2,615 deaths. Furthermore, the most cases of death due to non-natural disasters and diseases were caused by COVID-19, namely 144,094 deaths. And the most cases of death due to social disasters were caused by social conflict or social unrest, with 69 deaths.
Implementasi Algoritma Advance Encryption Standard dan Caesar Cipher pada Pesan Terenkripsi Aditiya Hermawan; Anton Halim; Dera Susilawati; Intan Anjali Putri
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.6714

Abstract

The development of information technology allows many people to communicate at any time with various media, one of which is the exchange of messages. However, many people do not realize that there are security holes that are used by irresponsible parties to commit crimes such as theft of messages, intercepting messages, and changing the contents of messages. One technique for securing messages is cryptography. Cryptography is the science and art of keeping messages secure when messages are sent from one place to another. Several cryptographic methods that can be used are Advanced Encryption Standard and Caesar Cipher, because the Advanced Encryption Standard method has high security for message security while the Caesar Cipher method has the advantage of being fast in calculations. The combination of these two algorithms in making secret messages is implemented in the form of a mobile-based application to make it easier for users to make secret messages. The results of the encrypted messages formed are difficult to decrypt because they go through 2 stages of the encryption process so that the contents of important messages can be guaranteed confidentiality.
Penentuan E-Wallet Terbaik dengan Metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Mohamad Tafrikan; Ariska Kurnia Rachmawati; Atika Dewi Ardiyanti; Rindi Saputri; Sholifatun Umayah
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7718

Abstract

Currently, many purchases of goods can be found electronically or known as e-wallets. E-wallet is a form of Fintech (Finance Technology) that utilizes internet media and is used as an alternative payment method. Several other types of e-wallets: Dana, Shopeepay, Gopay, Ovo, Sakuku. This study discusses the best recommendations among types of E-wallet using the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Both of these methods are able to make more accurate assessments and predetermined preference weights. Based on calculations using the SAW and TOPSIS methods, the first best e-wallet ranking is DANA, the second is Shopeepay, and the third is Gopay.
Penerapan Algoritma Backpropagation Untuk Text Recognition Yang Ditranslate Ke Bahasa Daerah Somantri -; Pascal Aditia Muclis; Ivana Lucia Kharisma
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.6998

Abstract

Every area of the community there is information, news, announcements or notifications through print media such as pictures, banners, posters and paper. However, there are many foreign languages (English) in the information which makes people not understand the language, because people only understand their own regional language (Sundanese) and the lack of media to help people understand the regional language (Sundanese) to a foreign language (English). Therefore, the author takes research on android-based text detection. Text detection or called Optical Character Recognition (OCR) is a system that can detect text into data files that can be processed in such a way. The method of collecting data or information in this study uses qualitative, the method for developing this system uses the waterfall method which has the advantage of being able to accelerate system development and using a backpropagation algorithm for text recognition. Backpropagation algorithm is an algorithm that can minimize errors, so as to make text detection more accurate. The results of the text detection accuracy are 97% and the error accuracy results are 3%, the text accuracy results are taken from a total of 14 samples, and 68 words. The results of text detection are affected by several cases such as the type of text font, the level of light in the image and the direction in which the photo or image is taken.
Pengembangan Sistem Pendeteksi Jenis Sayuran dengan Metode CNN Berbasis Android Rere Setiyo Budiawan; Budi Hartono
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7833

Abstract

Vegetables are foodstuffs of plant origin that can be consumed fresh and have various health benefits. However, not a few people do not know the types of vegetables and will find it difficult to find the vegetables they want. This research aims to make it easier for people to find vegetables by classifying them. Researchers developed a model using the Convolutional Neural Network (CNN) method with a total of 15 datasets with a total of 3000 image data. Researchers conducted training datasets with 3 types of epochs, including 20 epochs, 50 epochs and 100 epochs. The training produces accuracy and training loss, with the highest accuracy belonging to Epoch 50 and Epoch 100 and the lowest level of training loss is owned by Epoch 100 with a total of 0.609. However, after the model was deployed, the accuracy results obtained were not as high as the tests conducted on Google Colab. Tests were carried out on several objects, including carrots with an accuracy of 69%, cabbage with an accuracy of 53%, and papaya with an accuracy of 82%. The difference in accuracy results may be caused by objects that are less identical to the datasets or can also be caused by imperfect models. Even so, this application can already be used to classify types of vegetables.
Pengembangan Mobile Learning Management System Berbasis Blended Learning pada Pembelajaran Masa WFH Pandemic Covid-19 Rony Wijanarko; Moch Abu Choir
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7299

Abstract

The spread of the Coronavirus (Covid-19) outbreak, which has spread so quickly throughout the world, has caused anxiety and sadness for humanity to grieve. Starting from Wuhan China since the end of January 2020. The World Health Organization (WHO) has determined the phenomenon of this incident as a pandemic. A pademic occurs when an infectious disease spreads easily from human to human in various places in all corners of the world. Until the last two weeks, cases of Covid-19 outside China have increased thirteen times, causing concern for the world community. This research tries to provide solutions to the problem of how to develop and access LMS for learning anywhere and anytime (ubiquitos learning) both online and offline, using mobile devices that have limited connections. The M-LMS application being developed will be in the form of a prototype that takes the open source Moodle LMS model, and will focus on only a few important modules, namely the Subject Description module, Assignment module, Quiz module, Subject matter module. In its implementation, this research will be divided into three stages, namely pre-development data collection, development and implementation, and post-development data collection. The pre-development data collection is intended to obtain provision for a preliminary study of the core problems being faced, while the development and implementation stages focus on modeling software designs into diagrams and creating programming code to implement the designs that have been made. While the post-development data collection stages are for improving the applications made, drawing conclusions, and suggestions for further research topics.

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