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Scientific Journal of Informatics
Published by Universitas Negeri Semarang
ISSN : 24077658     EISSN : 24600040     DOI : -
Core Subject : Science,
Computer Science & IT
Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.
Arjuna Subject : -
Articles 564 Documents
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Intelligent Web Applications as Future Generation of Web Applications Wakil, Karzan; N.A.Jawawi, Dayang
Scientific Journal of Informatics Vol 6, No 2 (2019): November 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i2.19297

Abstract

During the recent years World Wide Web very fast increased a fundamental part in our everyday life. In commerce, personal relationship, the effect of the universal network has wholly changed the way people interact with each other and with machines. The problem is after rising the Artificial Intelligence to presenting human feelings, everything changed including web applications. In this paper, we describe the intelligent web applications as present and future of web applications, moreover we highlight the special features and their roles in increasing intelligence of web applications as well as impact this application in the process development web systems. The goals of this paper led to developers to create smart and modern web applications.
Model Delone and Mclean Untuk Mengukur Kesuksesan E-Government Kota Pekalongan Saputro, Pujo Hari; Budiyanto, Djoko; Santoso, Joko
Scientific Journal of Informatics Vol 2, No 1 (2015): May 2015
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v2i1.4523

Abstract

Pemerintah Kota Pekalongan saat ini sudah menjadi salah satu kota percontohan dalam penggunaan E-government di Indonesia, banyak sistem sudah diterapkan dan berhasil membantu dalam pelayanan pemerintah kota kepada masyarakat dan juga mempermudah dalam pekerjaan pegawai pemerintahan. Metode DeLone and McLean yaitu metode yang mempunyai 6 variabel evaluasi yaitu: information quality, system quality, service quality, use, user satisfaction dan net benefit. Metode DeLone and McLean akan digunakan sebagai model mengukur kesuksesan E- government dalam penggunaannya untuk membantu kinerja pegawai pemerintahan kota pekalongan. Dengan model ini diharapkan dapat diketahui komponen-komponen yang mendukung atau menghambat dalam penggunaan E-government, sehingga ke depan diharapkan dapat menjadi bahan evaluasi untuk perbaikan. 
Implementing Geo Positioning System for Children Tracking Location Monitoring based on Android Sari, Marti Widya; Santoso, Banu; Azman, Mohamed Nor Azhari
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.27436

Abstract

Purpose: The objectives of this research are to generate a system or application to track the whereabouts of children through smartphones that can be used by both parents of the child, and to design device that can be used practically, and children can be traced to the presence of wireless media by their parents. Improved supervision of children is needed without reducing the freedom of children to learn and explore their environment. Methods: One alternative that allows tracking the presence, location and accuracy is quite good is to use a Geo Positioning System (GPS). Result:  This GPS is packaged in a flexible form so that it can help make it easier for parents to supervise their children in the range of areas that are still accessible to them and find the child's position when separated from their parents. Novelty: The system can send the location information of children who are lost or lost on smartphone applications used by parents.
The Comparison between Bayes and Certainty Factor Method of Expert System in Early Diagnosis of Dengue Infection Rachmawati, Eka Yuni; Prasetiyo, Budi; Arifudin, Riza
Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v5i2.15740

Abstract

The development of existing artificial intelligence technology has been widely applied in detecting diseases using expert systems. Dengue Infection is one of the diseases that is commonly suffered by the community and may cause in death. In this study, an expert diagnosis system for dengue infection is made by comparing between both Bayes method and Certainty Factor. The aims are to build an expert system using Bayes and Certainty Factor for early diagnosis of dengue infection and also to determine their level of accuracy. There are 80 data used in this study which are obtained from the medical records of Sekaran Health Center in Semarang City. The test results show that the level of accuracy obtained from 80 medical record data for Bayes method is 90% and the Certainty Factor method is 93,75%.
3D Animation Making Crafts Monel Jepara Listyorini, Tri; Umam, Muhamad Khotibul; Riadi, Aditya Akbar
Scientific Journal of Informatics Vol 9, No 1 (2022): May 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i1.31686

Abstract

Abstract. Monel Craft is a handicraft that is inherited from generation to generation by the people of Jepara. Monel accessories produced can be in the form of bracelets, necklaces, earrings, rings, and many other accessories. For its manufacturer using a drill, hacksaw, and smoothing machine. Monel marketing is still limited around the city of Jepara. Purpose: This research aims to introduce Monel more broadly with a 3D multimedia approach. So, there is an idea of what Monel is. In general, Monel has a shiny shape and is corrosion-resistant. The price is relative and can be ordered according to our wishes.Methods: The method used in this research is the method of multimedia development.Result: This research produces a 3D animation that is packaged attractively, so that it represents Monel craftsmen to introduce it to the whole community.Novelty: This research combines the multimedia method with the work of local wisdom from the city of Jepara, namely Monel. This research, entitled "Monel Craft 3D Animation", can increase knowledge about how to make it. And can be a medium of education and preservation of cultural arts in Jepara. 
Toddler Nutritional Status Classification Using C4.5 and Particle Swarm Optimization Nazir, Alwis; Akhyar, Amany; Yusra, Yusra; Budianita, Elvia
Scientific Journal of Informatics Vol 9, No 1 (2022): May 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i1.33158

Abstract

Abstract. Purpose: This research was conducted to create a classification model in the form of the most optimal decision tree. Optimal in this case is the combination of parameters used that will produce the highest accuracy compared to other parameter combinations. From this best model, it will be used to predict the nutritional status class for the new data.Methods/Study design/approach: The dataset used is from Nutritional Status Monitoring in 2017 in Riau Province, Indonesia. From the dataset, the Knowledge Discovery in Database (KDD) stages were carried out to build several classification models in the form of decision trees. The decision tree that has the highest accuracy will then be selected to predict the class for the new data. Predictions for new data (unclassified data) will be made in a web-based system.Result/Findings: Particle Swarm Optimization is used to find optimal parameters. Before PSO is used, there are 213 parameters in the dataset that can be used to do classification. However, using many such parameters is time-consuming. After PSO is used, the optimal parameters found are the combination of 4 parameters, which can produce the most optimal decision tree. The 4 chosen parameters are gender, age (in months), height, and the way to measure the height (either stand up or lie down). The most optimal decision tree has an accuracy of 94.49%. From the most optimal decision tree, a web-based system was built to predict the class for new data (unclassified data).Novelty/Originality/Value: Particle Swarm Optimization (PSO) is a method that can help to select the most optimal parameters, or in other words produce the highest classification accuracy. The combination of parameters selected has also been confirmed by the nutritionist. The prediction system has been declared feasible to be used by nutritionists through the User Acceptance Test (UAT).
Design and Evaluation of Smart Digital Signature Application User Interface for Document Legalization in COVID 19 Pandemic Fitriana, Gita Fadila; Wibowo, Merlinda; Aribowo, Eko
Scientific Journal of Informatics Vol 9, No 1 (2022): May 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i1.34058

Abstract

Abstract. Purpose: This study aims to build an effective user interface digital signature application for document legalization.Methods: The process of document publishing services and bureaucratic flows at universities affected by the pandemic can be simplified and accelerated with this application later. However, appropriate application design still needs to be done before application development. Therefore, application design is carried out on the User Interface (UI) to the prototype stage so that the application to be built can be more attractive, more effective, and efficient. In addition, to help the application succeed, it is also necessary to evaluate the design process.  Result: This testing process is carried out to prevent failures from later application development by implementing an easy and frequently used test, namely usability testing, namely the Usability Scale (SUS) System. The tests carried out have shown that the design proposed in this study gets a good score of 80.5, so it is effective and efficient to be implemented and implemented in the development of smart digital signature applications.Novelty: This study is to design and evaluate the UI of the smart digital signature application to provide participation for the success of the application that will be developed later. Therefore, the smart digital signature application can be used effectively and efficiently as a document validation process during this pandemic, which is needed, especially in universities, to improve staff performance and support academic activities. The number of digital documents signed and sent will be the same as the documents received. Furthermore, the validity and integrity of the document can be monitored using the developed application.
Chili Classification Using Shape and Color Features Based on Image Processing Sihombing, Yobel Fernanda; Septiarini, Anindita; Kridalaksana, Awang Harsa; Puspitasari, Novianti
Scientific Journal of Informatics Vol 9, No 1 (2022): May 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i1.33658

Abstract

Abstract. Purpose: Chili is an agricultural product that has several varieties and is in great demand. It can be consumed directly or processed first.  This study aims to classify the types of chili using color and shape features. The types of chili are divided into five classes: cayenne pepper, green chili, big green chili, big red chili, and curly chili. The chili classification method was evaluated using three parameters: precision, recall, and accuracy.Methods: This study applied the K-Nearest Neighbors (KNN) method with the Euclidean and Manhattan distance calculation algorithm and used two feature types: color and shape. The color features were extracted based on RGB color space by obtaining the mean and standard deviation values. Meanwhile, the shape features used aspect ratio, area, and boundary.Result: The evaluation results of the classification method were able to achieve the precision, recall, and accuracy values of 1.0, which means that all test data were classified correctly. The evaluation was applied with 210 training images and 90 test images based on the test results.Novelty: This study extracted two types of features: color and shape. Those features fed the KNN method by applying the Euclidean and Manhattan distance calculation algorithm; hence, the optimal results were achieved.
Aspect Based Sentiment Analysis of Product Review Using Memory Network Ismet, Hilya Tsaniya; Mustaqim, Tanzilal; Purwitasari, Diana
Scientific Journal of Informatics Vol 9, No 1 (2022): May 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i1.34094

Abstract

Abstract. Purpose: Consumer opinion is one of the essential keys that affect the success of a product. Sentiment analysis of consumer opinion is needed to find out information about customer satisfaction for companies in the decision-making process. The traditional sentiment analysis process extracts a complete sentiment from a single sentence. However, it does not consist of only one sentiment in one sentence. The total number depends on the number of aspects that make up the sentence. Therefore, a sentiment analysis process is needed to pay attention to aspects.Methods: This research focuses on product reviews from Indonesian e-commerce on several aspects of sentiment. Uses fastText word embedding to avoid Out of Vocabulary in datasets and Gated Recurrent Units for aspect spread detection. Sentiment classification on aspects using the Memory Network method.Result: The experiment results showed that aspect-based sentiment classification predictions had an accuracy of 83% compared to 78% overall classification predictions for review texts, indicating that aspect-based sentiment analysis can improve model performance on product review classification predictions.Novelty: Most product reviews analysis use document-level classification to extract and predict sentiment reviews, aspect-based analysis can be applied to product reviews for better sentiment understanding, using Memory Network to store important information explicitly on aspects and polarity.
Performance Comparison of Similarity Measure Algorithm as Data Preprocessing Stage: Text Normalization in Bahasa Finansyah, Achmad Yohni Wahyu; Afiahayati, FNU; Sutanto, Vincent Michael
Scientific Journal of Informatics Vol 9, No 1 (2022): May 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i1.30052

Abstract

Purpose: More and more data are stored in text form due to technological developments, making text data processing more difficult. It also causes problems in the text preprocessing algorithm, one of which is when two texts are identical, but are considered distinct by the algorithm. Therefore, it is necessary to normalize the text to get the standard form of words in a particular language. Spelling correction is often used to normalize text, but for Bahasa Indonesia, there has not been much research on the spell correction algorithm. Thus, there needs to be a comparison of the most appropriate spelling correction algorithms for the normalization process to be effective.Methods: In this study, we compared three algorithms, namely Levenshtein Distance, Jaro-Winkler Distance, and Smith-Waterman. These algorithms were evaluated using questionnaire data and tweet data, which both are in Bahasa Indonesia.Result: The fastest normalization time is obtained by the Jaro-Winkler, taking an average of 31.01 seconds for questionnaire data and 59.27 seconds for tweet data. The best accuracy is obtained by the Levenshtein Distance with a value of 44.90% for the questionnaire data and 60.04% for the tweet data. Novelty: The novelty of this research is to compare the similarity measure algorithm in Bahasa Indonesia. Therefore, the most suitable similarity measure algorithm for Bahasa Indonesia will be obtained.

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