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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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Pengembangan LMS (Learning Management System) Berbasis Web untuk Mengukur Pemahaman Konsep dan Karakter Siswa Wibowo, Agung Tri; Akhlis, Isa; Nugroho, Sunyoto Eko
Scientific Journal of Informatics Vol 1, No 2 (2014): November 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i2.4019

Abstract

Perkembangan teknologi informasi telah berkembang pesat dalam bidang pendidikan dengan lahirnya e-learning. E-learning dapat membantu guru dalam memantau keaktifan siswa dengan penugasan, forum diskusi maupun aktivitas lain, sehingga karakter dapat dideskripsikan melalui e-learning. Tujuan dari penelitian ini adalah mengembangkan Software Learning Management System (LMS). LMS adalah aplikasi perangkat lunak untuk kegiatan online, program pembelajaran elektronik (e-learning program) dan isi pelatihan. Selain itu, penelitian ini juga menyelidiki respon dari siswa terhadap LMS dan menguji keefektifannya dalam meningkatkan pemahaman konsep serta mengembangkan karakter siswa. Metode yang digunakan dalam penelitian ini adalah metode penelitian pengembangan. Uji produk menggunakan Pre Experimental Design dengan jenis Pretest and Posttest One Group Design. Instrumen penelitian berupa angket uji ahli, angket tanggapan, tes tertulis dan lembar observasi karakter. Teknik analisis data uji kefektifan menggunakan uji gain. Hasil tanggapan siswa untuk keseluruhan aspek mendapatkan prosentase diatas 82,5% kategori sangat baik. Hasil uji gain pemahaman konsep sebesar 0,56 dengan kategori sedang, artinya LMS efektif meningkatkan pemahaman konsep siswa. Sedangkan uji gain karakter 0,16 kategori rendah, artinya belum efektif mengembangkan karakter siswa.
Business Process Re-engineering to Support Sustainability of The Sales Commodities in Large Transaction with Quotation System Budiman, Kholiq; Subhan, Subhan; Efrilianda, Devi Ajeng
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.v8i1.27969

Abstract

Purpose: COVID-19 pandemic has an impact in almost all sectors, including economic and industrial sectors. The aim of this research is to support the sustainability of the sales commodities in large transactions due to pandemic conditions by business process re-engineering. Methods: Using the moving average method as a forecasting method. Result: It can get sustainable sales even during the COVID period, even seen an increase in transactions in the new period, along with the implementation of the quotation information system applied in the re-engineering business process. Novelty: Business Process Reengineering as an engineering process to integrate the ERP and the bidding system or quotation system is needed.
Uncertainty Ontology for Module Rules Formation Waterwheel Control Azmi, Zulfian -; Nasution, Mahyuddin K. M.; Mawengkang, Herman; Zarlis, M
Scientific Journal of Informatics Vol 5, No 1 (2018): May 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v5i1.14188

Abstract

Implementation of Uncertainty model has not given maximum result in forming rule on an inference of a case. For testing to determine whether water quality is high, medium and low. The input variables used are temperature, pH, salinity and Disolved Oxygen. Testing is done by looking at the water turbidity change in the shrimp pond, to determine the water quality. Its water quality determines in the control module of the waterwheel rotation.Rolling the waterwheel moves quickly if pond water quality is low, moving slowly if water quality is medium and immobile if water quality is good. And the establishment of the rule with the approach of knowledge of Ontology to determine the relation between several variables (temperature, Ph, Disolved Oxygen and salinity). Each variable is set to its certainty value in the form of fuzzy value. Next is determined the relation of the four variables for the formation of rule.
Implementation of Firebase Realtime Database to Track BRT Trans Semarang Wiratno, Andreas Ragil; Hastuti, Khafiizh
Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i2.10829

Abstract

Many application developed to help people get information about BRT (Bus Rapid Transit) Trans Semarang. However, the existing application felt less effective and unable to provide what user need. So we proposed a prototype of android based application which able to provide information about BRT Trans Semarang in an effective ways. The developed system contains two application, that is driver side application and user side application. The reason for using Firebase Realtime Databse is because of every data changes in database it will synchronize to the user automatically without waiting user to refresh or reload the application. Our proposed method is well designed and implemented and succeed to provides what user need which proved by a user acceptance test
Fake Twitter Account Classification of Fake News Spreading Using Naïve Bayes Santoso, Heru Agus; Rachmawanto, Eko Hari; Hidayati, Ulfa
Scientific Journal of Informatics Vol 7, No 2 (2020): November 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i2.25747

Abstract

Twitter is a very popular microblog, where users can search for various information, current news, celebrity posts, and hot topics. Indonesia is ranked 5th for the most Twitter users. The large number of users makes Twitter used for the benefit of certain parties with bad goals, such as spreading fake news using fake accounts. Fake accounts are often used by several parties to spread fake news, therefore the spread of fake news must be immediately limited to minimize the negative impact caused by fake news. For this reason, this research is written with the aim of being able to classify fake and genuine Twitter accounts. In this study, using data mining techniques that are closely related to big data in decision making by applying the Naive Bayes method. Naïve Bayes is one of the most widely used classification methods because it has good accuracy and faster computation time. The classification process uses nine parameters, namely based on the Profile Created, Favorite Count, Follower Count, Following Count, Geo Enabled, Follower Rate, Following Rate, Follower Following Ratio, Verified. This study uses 210 datasets of twitter accounts that spread fake news, the result is that Naïve Bayes works very promising  in the classification of fake twitter accounts and in the testing process using 5% of training set produces an accuracy of 80%.
Model Data Mining sebagai Prediksi Penyakit Hipertensi Kehamilan dengan Teknik Decision Tree Muzakir, Ari; Wulandari, Rika Anisa
Scientific Journal of Informatics Vol 3, No 1 (2016): May 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i1.4610

Abstract

Prevalensi hipertensi pada wanita hamil terjadi sebanyak 1.062 kasus (12,7%). Dari 1062 kasus ibu hamil dengan hipertensi, ditemukan 125 kasus (11,8%) yang telah didiagnosis dengan hipertensi oleh tenaga kesehatan. RSIA YK Madira Palembang sebagai pusat kesehatan harus mengembangkan metode yang dapat memprediksi risiko tinggi ibu hamil dengan hipertensi dari data hasil pemeriksaan kehamilan. Dengan memanfaatkan sumber data yang terdiri dari data perawatan antenatal, diterapkan teknik data mining dengan algoritma decision tree C4.5, berdasarkan Knowledge Discovery in Database (KDD). Sehingga akan ditemukan pengetahuan, informasi, dan pola tersembunyi dari data pelayanan antenatal, yang merupakan prediksi hipertensi pada kehamilan. Metode yang digunakan yaitu Algoritma C4.5. Setelah mendapatkan decision tree dan rules yang dapat memprediksi penyakit hipertensi dalam kehamilan, dilakukan evaluasi dengan supplied test set menggunakan WEKA dihasilkan kesalahan (error) 7.3427% dan tingkat akurasi 92.6573%. Data training yang berjumlah 286 instances, hal ini menunjukkan bahwa terdapat 265 instances yang akurat dan 21 instances yang error atau prediksinya salah. 
Information Retrieval System for Determining The Title of Journal Trends in Indonesian Language Using TF-IDF and Na?ve Bayes Classifier Trihanto, Wandha Budhi; Arifudin, Riza; Muslim, Much Aziz
Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i2.11876

Abstract

The journal is known as one of the relevant serial literature that can support a researcher in doing his research. In it’s development journal has two formats that can be accessed by library users namely: printed format and digital format. Then from the number of published journals, not accompanied by the growing amount of information and knowledge that can be retrieved from these documents. The TF-IDF method is one of the fastest and most efficient text mining methods to extract useful words as the value of information from a document. This method combines two concepts of weight calculation that is the frequency of word appearance on a particular document and the inverse frequency of documents containing the word. Furthermore, data analysis of journal title is done by Naïve Bayes Classifier method. The purpose of the research is to build a website-based information retrieval system that can help to classify and define trends from Indonesian journal titles. This research produces a system that can be used to classify journal titles in Indonesian language, with system accuracy in determining the classification of 90,6% and 9,4% error rate. The highest percentage result that became the trend of title classification was decision support system category which was 24.7%.
Watermarking Techniques Using Least Significant Bit Algorithm for Digital Image Security Standard Solution- Based Android Muzakir, Ari; Habibi, Mailan
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.7290

Abstract

Ease of deployment of digital image through the internet has positive and negative sides, especially for owners of the original digital image. The positive side of the ease of rapid deployment is the owner of that image deploys digital image files to various sites in the world address. While the downside is that if there is no copyright that serves as protector of the image it will be very easily recognized ownership by other parties. Watermarking is one solution to protect the copyright and know the results of the digital image. With Digital Image Watermarking, copyright resulting digital image will be protected through the insertion of additional information such as owner information and the authenticity of the digital image. The least significant bit (LSB) is one of the algorithm is simple and easy to understand. The results of the simulations carried out using android smartphone shows that the LSB watermarking technique is not able to be seen by naked human eye, meaning there is no significant difference in the image of the original files with images that have been inserted watermarking. The resulting image has dimensions of 640x480 with a bit depth of 32 bits. In addition, to determine the function of the ability of the device (smartphone) in processing the image using this application used black box testing. 
Classification of White Blood Cell Abnormalities for Early Detection of Myeloproliferative Neoplasms Syndrome Based on K-Nearest Neighborr Fitri, Zilvanhisna Emka; Syahputri, Lindri Nalentine Yolanda; Imron, Arizal Mujibtamala Nanda
Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i1.24372

Abstract

The myeloproliferative neoplasms (MPNs) are clonal hematopoietic stem cell disorders characterized by dysregulated proliferation and expansion of one or more of the myeloid lineages. The initial symptoms of MPN is a bone marrow abnormalities when producing red blood cells, white blood cells and platelets in large numbers and uncontrolled. An automatic and accurate white blood cell abnormality classification system is needed. This research uses digital image processing techniques such as conversion to the modified CIELab color space, segmentation techniques based on threshold values and feature extraction processes that produce four morphological features consisting of area, perimeter, metric and compactness. then the four features become input to the K-Nearest Neighborr (KNN) method. The testing process is based on variations in the value of K to get the best accuracy percentage of 94.3% tested on 159 test data.
Penerapan Fuzzy C-Means untuk Deteksi Dini Kemampuan Penalaran Matematis Sutoyo, Muh. Nurtanziz; Sumpala, Andi Tenri
Scientific Journal of Informatics Vol 2, No 2 (2015): November 2015
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v2i2.5080

Abstract

Penalaran matematis (mathematical reasoning) merupakan suatu proses berpikir yang dilakukan dengan cara untuk menarik kesimpulan. Penerapan data mining dapat membantu menganalisa data yang diperoleh dari kondisi kemampuan penalaran matematis. Teknik data mining yang digunakan adalah dengan menggunakan teknik clustering. Salah satu metode clustering adalah algoritma Fuzzy C-Means. Fuzzy C-Means memiliki tingkat akurasi yang tinggi dan waktu komputasi yang cepat. Uji validitas hasil clustering untuk deteksi dini kemampuan penalaran matematis dengan menggunakan perhitungan Partition Coeffecient (PC) diperoleh 0.840, ini berarti dapat dikatakan bahwa hasil clustering tergolong dalam kategori baik. Dari hasil perhitungan diperoleh 11 orang (25%) yang memiliki kemampuan penalaran matematis baik, sebanyak 25 orang (57%) memiliki kemampuan penalaran matematis cukup, dan sebanyak 8 (18%) orang memiliki kemampuan penalaran matematis yang kurang. 

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