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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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The Real-Time Alert System for Prayers at Smart Masjid Alam, Tanweer; Erqsous, Moath
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.v7i2.25356

Abstract

Arrange and monitor people in a crowded environment inside masjid is a critical task. It is necessary to fill rows start from first row behind the Imam. Most counting techniques depend on detecting individuals in order to count their number. Counting and arrangement becomes inefficient when it is required in real-time and when the crowd is dense. I am proposing a technique for monitoring and estimating the density of crowd in real-time using infrared technology. The intelligent systems will be designed based on the number of people section wise. The mosque will be divided into sections and each section will be allocated an Infra-Red Camera. Each section will be programmed to contain limited number of people. There will be an LED display allocated to each section. With the people coming into that section, the display will start becoming less GREEN. In other words, the intensity of the GREEN LED display will become weaker. As the section is completely filled, the display will turn red. This way, people could see the section from quite a distance and can easily decide whether to move forward or not. As soon as the people enter the mosque, they will have an overview of each section and can decide to go to the suitable places to get settled easily into the rows. Our pre-programmed thermal camera will recognize people on the basis of their body temperature. The LED display will go less green as the system receives more thermograms. After reaching the highest level of thermograms received, the LED display will automatically go RED. This would naturally stop people to enter that section.
Sistem Penetapan Angka Kredit untuk Kenaikan Pangkat Guru di Lingkungan Pemerintah Kota Magelang Berbasis Web Prabowo, Nugroho Agung; Hidayah, Nur
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.v2i2.5084

Abstract

Guru mempunyai hak kenaikan pangkat sesuai dengan angka kredit yang telah ditentukan. Penetapan angka kredit (PAK) guru dihitung berdasarkan Daftar Usul Penetapan Angka Kredit Guru (DUPAK) yang diusulkan oleh guru, yang kemudian di nilai dan di evaluasi oleh Tim Penilai. Perhitungan angka kredit baik dalam PAK maupun DUPAK masih menggunakan cara manual, sehingga baik guru maupun tim penilai harus menghitung setiap unsur angka kredit berdasarkan rumus yang telah ditentukan dengan cermat dan teliti. Untuk mengatasi masalah tersebut, dibangun suatu sistem penetapan angka kredit yang dapat membantu melakukan verifikasi dan validasi angka kredit yang diajukan oleh guru, sehingga proses perhitungan angka kredit menjadi cepat dan akurat. Sistem baru yang dibangun berbasis web, yang di dalamnya memuat semua unsur kegiatan yang dinilai angka kreditnya, setiap user memasukkan data, sistem secara otomatis akan melakukan perhitungan dan pengelolaan datanya terintegrasi sehingga tim penilai tidak perlu lagi melakukan entry data. Secara prosedur sistem lama dan sistem baru tidak jauh berbeda, perbedaan yang mendasar yaitu sistem yang baru menggunakan teknologi komputer berbasis web dalam pengelolaan datanya sehingga dapat mempersingkat proses entry data dan dapat mengatasi kendala dari sistem lama. 
The Analysis and Optimization of Business Processes for Students in Higher Education Based on Togaf 9.2 Anam, M. Khairul; Nasution, Torkis; Erlinda, Susi; Efrizoni, Lusiana; Susanti, Susanti
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.29952

Abstract

Purpose: The IT Blueprint is used as a guideline in achieving organizational goals, such as the built and development of information technology (IT) infrastructure. STMIK Amik Riau is one of the universities vision to become an excellent university in Sumatra by 2030. To achieve this vision, it is necessary to develop various units, one of which is the built and development of IT in student services. To build IT for student services, an enterprise architecture is needed so that the development is more focused. Study design: In this study, TOGAF became the framework used to design, plan, implement, and manage the company's organizational architecture. TOGAF has 8 phases, but this research takes 6 phases: Architecture Vision, Business Architecture, Information System Architectures, Technology Architecture, Opportunities and Solutions, and Migration Planning. Result: The results obtained in this study are the creation of IT blueprints for student business processes. There are several updates in each process, especially in the information system architecture, then in business processes and technology. There are also updates that need to be done. This study also provides several reasons for updating the Opportunity and Solutions. Other than that, this research guides to apply the updates based on priorities that must be applied to migration planning. Novelty: In the information system architecture, 18 applications become service systems for students. After analyzing it into 31 applications, they will later be used to support good services for students.
Speed and Power Consumption Comparison between DES and AES Algorithm in Arduino Sukiatmodjo, Arcelina; Setianto, YB Dwi
Scientific Journal of Informatics Vol 6, No 1 (2019): May 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i1.17838

Abstract

Telemedicine is commonly used to check or diagnose patients from a long distance. Its application is often combined with sensors as needed, but for delivery, a cryptography algorithm is needed so the data sent safely, illegible, and can not be changed by unauthorized people. Besides that, the algorithm must be light, fast and use less power. In this study, a comparison of the Data Encryption Standard (DES) and Advanced Encryption Standard (AES) algorithms will be implemented in the encryption module. Data from the sensor encrypted and sent to the server. The time and power consumption by DES will be compared with AES. From this research, we can conclude that the encryption time of AES is faster than DES. The average difference speed is 33413 microseconds. Then the power consumption by AES and DES does not have any significant difference, and the addition of sensors causes additional power as well.
Decision Support Model for User Submission Approval Energy Partners Candidate Using Profile Matching Method and Analytical Hierarchy Process Moedjiono, Moedjiono; Kurnianda, Nia Rahma; Kusdaryono, Aries
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7916

Abstract

In the field of services, customer satisfaction is a very important factor and determine the success of an enterprise. In the field of outsourcing, customer satisfaction indicator is the labor required delivery in a timely manner and has a level of quality in accordance with the terms proposed by the customer. To provide the best talent to customers, team recruitment and selection must perform a series of tests with a variety of methods to match the criteria of office given by the user with the criteria owned candidates and in order to support growth in graduation rates force a partner at the stage of user approval. For this purpose, the authors conducted a study with the method of observation, interviews, document reviews the candidate recruitment process, so as to provide recommendations for candidates with the highest quality delivery to the user at the stage of approval. The author put forward a model of decision support that is supported by the method of profile matching and Analytical Hierarchy Process (AHP) in problem solving. The final results of this study can be used to support a decision in order to improve the effectiveness of the delivery of quality candidates, increase customer satisfaction, lower costs and improve gross operational margin of the company.
Automatic Segmentation of Abdominal Aortic Aneurism (AAA) By Using Active Contour Models Kosasih, Rifki
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.v7i1.23625

Abstract

Abdominal aortic aneurysm (AAA) is a disease that is caused by dilation of the aortic wall. Dilation of the aortic wall will affect the size of the diameter of lumen and the aorta. In this study we use T1 and T2 images on 4 patients with AAA which generated from MR Imaging to calculate the diameter of the abdominal aortic aneurysm (AAA). To calculate the diameter of lumen and the aorta, the first step is image registration using Laplacian eigenmap method. After that we propose an automatic segmentation method on region of the aorta by using active contour models to get the contour of lumen and the aorta. The last step,  we calculate the diameter of lumen and the aorta by using contour of lumen and the aorta. In our experiment, active contour model is very good method for segmentation AAA. In the result, our proposed model give the accuracy rate of lumen is 96.41% and accuracy rate of aorta is 95.22%. 
Model Perangkingan Proyek Kontruksi Pada Asosiasi Kontraktor Menggunakan Fuzzy AHP Sihombing, Denny Jean Cross; Santoso, Albertus Joko; Rahayu, Sapty
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.v2i1.4531

Abstract

Pemilihan proyek potensial dari paket lelang konstruksi yang ditawarkan merupakan permasalahan yang kompleks pada asosiasi kontraktor. Paket lelang yang ditawarkan oleh pemerintah melalui Kementerian Pekerjaan Umum (PU) untuk wilayah Sumatera Utara tahun 2013 terdapat 96 paket, tahun 2014 terdapat 69 paket. Dari banyaknya paket yang ditawarkan, masing-masing paket memiliki beberapa kriteria sebagai persyaratan, salah satunya adalah pengalaman perusahaan. Artikel ini fokus pada perangkingan proyek berdasarkan evaluasi proyek yang sudah dikerjakan sebelumnya. Keberhasilan suatu proyek ditentukan oleh beberapa kriteria, maka pendekatan yang digunakan Multi Criteria Decision Analysis (MCDA) dengan metode Fuzzy Analytic Hierarchy Process (FAHP), data diperoleh dari Asosiasi Kontraktor Air Indonesia (AKAINDO) Sumatera Utara. Hasilnya adalah rekomendasi proyek potensial berdasarkan skor tertinggi, yaitu sub-bidang perpipaan.
Implementation of Genetic Algorithm and Adaptive Neuro Fuzzy Inference System in Predicting Survival of Patients with Heart Failure Korzhakin, Dian Alya; Sugiharti, Endang
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.32803

Abstract

Purpose: Heart failure is a disease that is still a global threat and plays a major role as the number one cause of death worldwide. Therefore, accurate predictions are needed to determine the survival of heart failure patients. One technique that can be used to predict a decision is classification. Adaptive Neuro-Fuzzy Inference System (ANFIS) is an algorithm that can be used in the classification process in making predictions. Genetic Algorithms can help improve the performance of classification algorithms through the feature selection process. Methods/Study design/approach: In this study, predictions or diagnoses were made on the survival of heart failure patients based on the heart failure clinical record dataset obtained from the UCI Machine Learning Repository. The data used is 299 data with 12 attributes and 1 class. The result of this research is the comparison of the accuracy of the ANFIS algorithm before and after using the Genetic Algorithm. Result/Findings: The ANFIS algorithm produces the highest accuracy of 94.444%. While the ANFIS algorithm after attribute selection using the Genetic Algorithm produces the highest accuracy of 96.667%. This shows that the Genetic Algorithm is able to improve the performance of the ANFIS classification algorithm through the attribute selection process.
Forensic Tool Comparison on Instagram Digital Evidence Based on Android with The NIST Method Riadi, Imam; Yudhana, Anton; Putra, Muhamad Caesar Febriansyah
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.v5i2.16545

Abstract

The growth of Android-based smartphone users to access media in communicating using Instagram social media is very fast. Activities are carried out when using Instagram social media in communicating to share information such as sending chat texts and pictures. A large number of Instagram users make this application vulnerable to abuse of Instagram such as pornography crimes from Instagram users. This case can be forensic to get digital evidence in the form of chat text and pictures from Instagram messenger is a feature of Instagram. The investigation in this study uses the National Institute of Standards and Technology (NIST) method which provides several stages of collecting, examining, analyzing, reporting while forensic tools use forensic oxygen and axiom magnets. The results of the recovery and comparison of data result using Oxygen forensics and Axiom Magnets obtained digital evidence in the form of data in the form of images and chat. The data obtained by Magnet Axiom is 100% while forensic oxygen is 84%. These data are the results of the performance of both forensic applications in obtaining digital evidence that has been deleted from the Instagram messenger.
Assessment The Method of Fuzzy Logic to Determine The Quality of Service Expedition in Jabodetabek Area Pamuji, Agus
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7906

Abstract

Search application services that was designed, could be the based on the difficulty to find out, and to select expedition services which have provided.  In these case, when someone who wants to send the packages to a particular destination. Each shipper will see the name of courier services, the speed the god arrive at the destination, prices, and customer services. This application is designed with fuzzy logic method that can be based on the selection of criteria, and specific category. The using and fuzzy logic method implementation can to help and ensure the selection of expedition service that based in variable or criteria are price, speed, location, and services. The result of this research will to display of application that was supported with database systems such as expedition services information and location, and then table of price is available.

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