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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

RESTI
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Published by Ikatan Ahli Informatika Indonesia

ISSN : 25800760 EISSN : 25800760 DOI : https://doi.org/10.29207/resti.v2i3.606

Core Subject : Science, Engineering,

Computer Science & IT Engineering

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Perangkat Lunak Rekayasa Perangkat Keras Keamanan Informasi Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Sistem Kecerdasan Buatan/Artificial Intelligent System Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Internet of Things Enterprise Computing Machine Learning Topik kajian lainnya yang relevan

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 1,046 Documents

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Investigasi Bukti Digital Optical Drive Menggunakan Metode National Institute of Standard and Technology (NIST) Imam Riadi; Abdul Fadlil; Muhammad Immawan Aulia
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

DVD-R is a type of optical drive that can store data in one burning process. However, there is a feature that allows erasing data in a read-only type, namely multisession. The research was conducted to implement the data acquisition process which was deleted from a DVD-R using Autopsy forensic tools and FTK Imager. The National Institute of Standards and Technology (NIST) is a method commonly used in digital forensics in scope storage with stages, namely collection, examination, analysis, and reporting. The acquisition results from Autopsy and FTK-Imager show the same results as the original file before being deleted, validated by matching the hash value. Based on the results obtained from the analysis and presentation stages, it can be concluded from the ten files resulting from data acquisition using the FTK Imager and Autopsy tools on DVD-R. FTK Imager detects two file systems, namely ISO9660 and Joliet, while the Autopsy tool only has one file system, namely UDF. The findings on the FTK Imager tool successfully acquired ten files with matching hash values and Autopsy Tools detected seven files with did not find three files with extensions, *.MOV, *.exe, *.rar. Based on the results of the comparative analysis of the performance test carried out on the FTK Imager, it got a value of 100% because it managed to find all deleted files and Autopsy got a value of 70% because 3 files were not detected because 3 files were not detected and the hash values were empty with the extensions * .exe, * .rar and *.MOV. This is because the Autopsy tool cannot detect the three file extensions.

Desain Dempster Shafer dan Fuzzy Expert System dalam Mendeteksi Dini Penyakit Stroke laurentinus laurentinus
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The increasing population in Indonesia, which is 265 million people in 2018, causes an increase in the community's disease sufferers. Unfortunately, the number of hospitals in the area has not increased even though the population continues to grow, which impacts the community's lack of information and knowledge in dealing with some serious diseases such as stroke that attacks quickly. Stroke is the leading cause of disability and the number two cause of death in the world where 6.2 million people died in 2015 and is a complex medical problem that requires the diagnosis of a neurologist or internist. Still, not all doctors are in the district and provide services with fast. Temporary stroke symptoms are called transient ischemic attacks (TIA), which are warning signs before having a stroke, it requires how to recognize the signs of a stroke early and treat it as a medical emergency. Based on this problem, it is needed an expert system design that can diagnose stroke early and provide information about stroke to the community based on expert sources with an android mobile phone, making it accessible to the broader community, including in the district. The system design uses the Dempster Shafer Method to measure the uncertainty of 20 stroke symptoms. The disease slices outcome will produce a percentage of the likelihood of stroke, hypertension / high blood pressure, fever, and heart disease. As well as Fuzzy Logic as logical logic in processing 9 patient's medical history. The authors combined the two methods in providing a stroke diagnosis based on symptoms and patient history and then evaluated using several metrics, including accuracy, precision, sensitivity (recall), F-measure (F1 score), and specificity so that an expert system score was obtained of 0.786 which shows good expert system performance.

Analisis Sentimen Pada Twitter KAI Menggunakan Metode Multiclass Support Vector Machine (SVM) Dhina Nur Fitriana; Yuliant Sibaroni
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Information in form of unstructured texts is increasing and becoming commonplace for its existence on the internet. This information is easily found and utilized by business people or companies through social media. One of them is Twitter. Twitter is ranked 6th as a social media that is widely accessed today. The use of Twitter has the disadvantage of unstructured and large data. Consequently, it is difficult for business people or companies to know opinion towards service with limited resources. To Make it easier for businesses know the public's sentiment for better service in the future, public sentiment on Twitter needs to be classified as positive, neutral, and negative. The Multiclass Support Vector Machine (SVM) method is a supervised learning classification method that handles three classes classification. This paper uses One Against All (OAA) approach as a method to determine the class. This paper contains the results of classifying OAA Multiclass SVM methods with five different weighting features unigram, bigram, trigram, unigram+ bigram, and word cloud for analyzing tweet data, finding the best accuracy and important feature when processed with large data. The highest accuracy is the unigram TF-IDF model combined with the OAA Multiclass SVM with gamma 0.7 is 80.59.

Penerapan Firebase Realtime Database pada Aplikasi E-Tilang Smartphone berbasis Mobile Android Ilham Firman Maulana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Traffic violations are familiar things on the highway. For road users who commit traffic violations will be given sanctions such as reprimands, warnings or given a ticket. The speeding ticket is a medium for the police to write fines and violations against road users who commit traffic violations. In this modern era ideas and ideas have emerged to develop a system or application that can facilitate the performance, needs and human activities through an intermediary smartphone. E-ticketing is a digitization of the manual ticketing process that fills offenders data on the ticketing sheet. The e-ticket helps the police in the ticketing process by entering data in the application, utilizing the Firebase Realtime Database technology through smartphone intermediaries. The purpose of this study is to create a traffic violator or E-ticketing system using the Firebase Realtime Database technology. Then provide attachments to offenders in the form of notifications through the E-ticket application, and assist the police in an effort to deal with traffic offenders. The results of this study showed 80.5% of respondents rated the Application of Firebase Realtime Database on the Android-based Smartphone Mobile E-Ticket Application in accordance with the needs of the police in carrying out the ticketing process.

Sistem Business Intelligence untuk Evaluasi Kinerja Widyaiswara Kementerian Agama Muhamad Noval
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The Religious Research, Development and Training Agency of the Ministry of Religious Affairs as a supervisory unit for Widyaiswara functional positions, has the task of evaluating the performance of Widyaiswara of the Ministry of Religious Affairs. That demands the availability of a need for reports or data that presented quickly and accurately when the Widyaiswara performance evaluation process is conducted every year. The problem that occurs these days is that the data on the result of credit score of Widyaiswara assessment are stored in an unstructured excel file. This study utilizes the data warehouse and business intelligence in the process of Widyaiswara performance evaluation. The OLTP (Online Transaction Process) Data that presented for data warehouse is the result of credit score of Widyaiswara assessment. The planning of data warehouse conducted through nine-steps methodology that created by Kimball and Ross, then those data were analyzed using OLAP (Online Analytical Processing) in the application of qliksense in the form of dashboard business intelligence to present the data in a faster visual form. The result, giving the information to the leader to evaluate the performance of Widyaiswara, especially in making decision such as circular letter to improve the quality of Widyaiswara performance, the minimum score limit in the performance agreement, reward in the form of certificate of appreciation for the highest score and punishment in the form of warning letter for the low total score.

Implementasi Haversine Formula untuk Pembuatan SIG Jarak Terdekat ke RS Rujukan COVID-19 Chandra Husada; Kristoko Dwi Hartomo; Hanna Prillysca Chernovita
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Haversine formula-based GIS has been created to find closest location to referral hospital handling COVID-19 in Semarang City. The objectives of this study were (1) to determine closest distance and compare the results with the calculation of Find Nearest Tool and Google Maps and (2) to design GIS. It was done through (i) primary and secondary data creation and processing, (ii) accuracy measurement using Haversine formula. GIS is built after the calculation results are obtained. Calculation of the distance from user’s starting point to referral hospital can be generated using Haversine formula. Comparison of measurement results between Haversine formula-based GIS and Find Nearest Tool, the average differences is 13 meters, the smallest difference is 3 meters and the largest difference is 40 meters. The differences between the calculation results of Haversine formula and Google Maps, the smallest difference is 0 meters, the largest difference is 5 meters, and the average differences is 3 meters. GIS creation obtained through designing use case, activity, class diagram, and user interface. The conclusion is Haversine formula-based GIS can be used as "Geographic Information System for the Search of Referral Hospital Handling COVID-19 in Semarang City" based on the closest distance from user's location.

Analisis Performansi Algoritma Firefly dan Tabu Search untuk Optimasi Rute Angkutan Kota Salwa Salsabila Mansur; Sri Widowati; Mahmud Imrona
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Traffic congestion problems generally caused by the increasing use of private vehicles and public transportations. In order to overcome the situation, the optimization of public transportation’s route is required particularly the urban transportation. In this research, the performance analysis of Firefly and Tabu Search algorithm is conducted to optimize eleven public transportation’s routes in Bandung. This optimization aims to increase the dispersion of public transportation’s route by expanding the scope of route that are crossed by public transportation so that it can reach the entire Bandung city and increase the driver’s income by providing the passengers easier access to public transportations in order to get to their destinations. The optimal route is represented by the route with most roads and highest number of incomes. In this research, the comparison results between the reference route and the public transportation’s optimized route increasing the dispersion of public transportation’s route to 60,58% and increasing the driver’s income to 20,03%.

Penilaian Tata Kelola dan Manajemen Layanan Teknologi Informasi dengan Cobit 2019 dan ITIL 4 Erika Nachrowi; Yani Nurhadryani; Heru Sukoco
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 4 (2020): Agustus 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The implementation of E-government evaluation is already a necessity to know the level of process of governance and management of service and provide improvement suggestions for quality improvement. Evaluation of the governance and management of services at the Directorate Institutional, Directorate General of Higher Education using the COBIT 2019, by measuring the capability process level based on the design factor which recommends improvement priorities in the 11 domain COBIT 2019 and the level of user satisfaction of service applications using the E-govqual model. IT capability level assessment results have 3 levels 0 processes or no existing approaches, 6 levels 1 processes or incomplete approaches, 1 level 2 process or initial approach fulfils the intent of the practice area and 1 Process level 3 or achievement of objectives is much more organized. Service Satisfaction rate measurement get 3 criteria in Quadrant A or priority improvement, 13 criteria in quadrant B or maintained, 12 criteria in quadrant C or less priority and 3 criteria in Quadrant D or less expected. Repair recommendations are compiled based on the SWOT model, referring to COBIT 2019 and ITIL 4. The results of the recommendation include increased competency of human resources and integrate services with PDDIKTI.

Identifikasi Pengenalan Wajah Perokok Menggunakan Metode Principal Component Analysis Romi mulyadi yusni; Zaini
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Cigarettes are one of the biggest contributors to preventable causes of death in society. Cigarette smoke contains various chemicals that can cause various diseases such as chronic coughs, lung cancer, and other health problems. Cigarette smoke not only harms the health of the smoker itself but also the health of others. Sometimes written warnings about smoking bans are often not followed by active smokers. This study aims to identify smokers 'facial recognition in order to recognize and identify smokers' faces who do not obey the rules by using dimensional reduction techniques oriented to the Principal component Analysis (PCA) method. Principal Component Analysis will later be integrated with the Eigenface and Eucladean analysis algorithms to reduce the image size in obtaining the best value vectors to simplify the face image in the input image space and look for the threshold value which is the threshold that the test data must pass so that it can prove the data value. testing becomes recognizable data through the calculation of the distance for each weight. In this study, there were 8 smoker faces with 5 different facial poses that were tested for 40 face recognition experiments and resulted in 34 correct smoker face recognition and 6 wrong smoker face recognition with an accuracy rate of 92.5% and a long face recognition process time of 80. second. This test has proven that the Eigenface and Euclidean distance in the Principal Component Analysis (PCA) are able to handle and recognize smoker's facial image data well.

Identifikasi Spesies Reptil Menggunakan Convolutional Neural Network (CNN) Olvy Diaz Annesa; Condro Kartiko; Agi Prasetiadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Reptiles are one of the most common fauna in the territory of Indonesia. quite a lot of people who have an interest in knowing more about this fauna in order to increase knowledge. Based on previous research, Deep Learning is needed in particular the CNN method for computer programs to identify reptile species through images. This reseacrh aims to determine the right model in producing high accuracy in the identification of reptile species. Thousands of images are generated through data augmentation processes for manually captured images. Using the Python programming language and Dropout technique, an accuracy of 93% was obtained by this research in identifying 14 different types of reptiles.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

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Contact Name Yuhefizar

Contact Email jurnal.resti@gmail.com

Phone +628126777956

Journal Mail Official ephi.lintau@gmail.com

Editorial Address Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.

Location , INDONESIA

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Contact Name
Yuhefizar

Contact Email
jurnal.resti@gmail.com

Phone
+628126777956

Journal Mail Official
ephi.lintau@gmail.com

Editorial Address
Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.

Location
,

INDONESIA