Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
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
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<![CDATA[Sistem Pakar Untuk Mendiagnosis Penyakit Stroke Hemoragik dan Iskemik Menggunakan Metode Dempster Shafer ]]>
<![CDATA[Jansen Kanggeraldo]]>;
<![CDATA[Rika Perdana Sari]]>;
<![CDATA[Muhammad Ihsan Zul]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.268
<![CDATA[Stroke is a disease that associated with bloodstreams to the brain. Usually, stroke is caused by the presence of broken blood vessels or obstructed by a blood clot. According to basic health research data by Health Research and Development Agency of Indonesia Ministry of Health (2013), stroke has become one of the deadliest diseases in Indonesia. One effort made to prevent stroke is to create a system that can diagnose stroke. Based on Indraswari's (2015) research, it was found out that stroke can be diagnosed by risk factor criterion. However, to get the data, the patient must check to the hospital or laboratory first To overcome these problems, the authors create an expert system that can diagnose stroke without having to consult directly with the doctor. This expert system adopts the expertise of a neurologist. The result of this system diagnosis’ is the type of desease and the percentage of the probability value of stroke. After the black box testing, it was found that all system functionality has been met. Then, based on the white box testing results, the value of cyclomatic complexity after the optimization of the program code is 8, it shows the program code of Dempster Shafer method is simple program code without much risk. The level of expert system accuracy is 97% so that the system can be used as an alternative for patients to make a diagnosis of stroke]]>
<![CDATA[Market Basket Analysis Pada Mini Market Ayu Dengan Algoritma Apriori ]]>
<![CDATA[Erlin Elisa]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.280
<![CDATA[Data mining is a technique to extract new information from the data warehouse, information is considered very important and valuable because by mastering the information so easily to achieve a goal, this makes everyone competing to obtain information, as well as on trading businesses such as minimarket Ayu in Kota Batam. Minimarket is located close to the home of the population, this certainly affects the level of sales, with the daily sales activities, sales transaction data will continue to grow, causing data storage is greater. Sales transaction data is only used as an archive without being put to good use. Basically the data set has very useful information. The analysis of market basket with Apriori Algorithm is one method of data mining which aims to find the pattern of association based on consumer spending pattern, so that it can be known what items are purchased simultaneously. The result of this research found that the highest support and confidence value is Oil and Milk with a support value of 42.85% and confidence of 85.71%.]]>
<![CDATA[Implementasi Pengacakan Bit Nilai Warna Spasi Pada Steganografi Di Dokumen Teks OOXML ]]>
<![CDATA[Tri Yatmo Noveary]]>;
<![CDATA[Kevin Ekaputra]]>;
<![CDATA[Halim Agung]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.292
<![CDATA[Steganography exists due to the need to hide data in another data. The purpose of this research is to find another alternative in doing steganography via Office Open XML text document files. The research is done by library review, and application building. Design is done using flowcharts. Tests are done by comparing the result, and testing the endurance of the message via file format change, and content and name changing. From the result of the result, steganography done using space color code bit position randomization will not visually affect the document significantly. The message can endure conversions to file formats DOC, ODT, and PDF, 93% endure conversions to RTF file format, and cannot endure conversions to TXT file format, and can endure content change as long as there’s the sequence of files, and the spaces left intact.]]>
<![CDATA[Pengelompokan Mahasiswa Potensial Drop Out Menggunakan Metode Clustering K-Means ]]>
<![CDATA[Ieannoal Vhallah]]>;
<![CDATA[Sumijan Sumijan]]>;
<![CDATA[Julius Santony]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.308
<![CDATA[Clustering K Mean is used for grouping. The K-Means method seeks to group the existing data into several unique groups, where data in one group have the same characteristics with each other and have different characteristics than the data exists in the other group. To perform student grouping the potential drop out required attributes. Total Semester Credit System, Comunative Achievement Index, and Total Semester. Clustering process K- Mean is done by determining the nearest initial centroid point in a group of potential drop out students. Clustering results K-Mean by Total Credit System semester, Comunative Achievement Index, and Total Semester. Results Clustering of potential drop out students for class of 2014 is in cluster 0 of 4 students or 30.77% of 13 Samples, class of 2015 is in cluster 1 amounted to 4 students and cluster 2 amounted to 2 students or 66.7% of 9 samples , the force of 2016 is in cluster 0 amounting to 2 students and cluster 1 is 10 students or 50% from 24 samples, and force of 2017 is in cluster 2 strength 4 student or 22,22% from 18 Keywords: Data Mining, Clustering, K-Mean, Potensial Drop Out,,]]>
<![CDATA[Pengembangan Sistem Komunikasi Nirkabel Untuk Mengendalikan Robot Sepak Bola ]]>
<![CDATA[Alfa Satya Putra]]>;
<![CDATA[Arnold Aribowo]]>;
<![CDATA[Hendra Tjahyadi]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.347
<![CDATA[According to how soccer robot movement is controlled, approaches in soccer robot can be divided into two categories, namely centralized and decentralized. Centralized approach is an example of control over network concept where devices are controlled over the network. Each robot obtains information from a vision system outside the robot to detect the ball, and the central computer makes decision on which robot to approach and kick the ball. Wireless communication between robot and central computer must be reliable. One of the most important components in soccer robot is the ball kicking mechanism, which has to be able to kick the ball accurately. The wireless communication system is developed with a WeMos D1 microcontroller. Ball kicking mechanism is developed using solenoid circuit controlled by the microcontroller. Testing showed that wireless communication system has 100% reliability when operated in range up to 300cm. The ball kicking mechanism was able to respond accurately to ball kicking command when the robot is stationary and moving. When the robot is stationary, average kicking distance of the ball is 42.22cm and average tilt angle is 29.58°. When robot is moving, average kicking distance is 40.98cm and average tilt angle is 26.12°.]]>
<![CDATA[Identifikasi Anggota dalam Penempatan pada Struktur Organisasi menggunakan Metode Profile Matching ]]>
<![CDATA[Ahmadi Ahmadi]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[Jufriadif Na’am]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.358
<![CDATA[The organization of a political party is one organization that must have an organizational structure. Each cadre who sits in the structure must have skills that match his field. The goal is for the organization to grow better. For each cadre to occupy the appropriate structure, identification must be performed. The method used to identify is Profile Matching on the data of each prospective member. Based on the test results obtained cadre with a special aspect of 60% and the general aspect of 40% is the right one. Then this method is suiTabel to be used in identifying cadres who will occupy positions in organizational structure.]]>
<![CDATA[Prediksi Hasil Ujian Kompetensi Mahasiswa Program Profesi Dokter (UKMPPD) dengan Pendekatan ANFIS ]]>
<![CDATA[Fajri Marindra Siregar]]>;
<![CDATA[Gunadi Widi Nurcahyo]]>;
<![CDATA[Sarjon Defit]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.388
<![CDATA[The main objective of this study was to predict the outcome of student's competency exam of the medical profession (UKMPPD) using Adaptive Neuro-Fuzzy Inference System (ANFIS). Data obtained from the Faculty of Medicine Universitas Riau’s student database in 2015 which amounted to 170 data. Input variables were membership status, length of study, and grade point average. Furthermore, the data were analyzed using MATLAB software by setting the number of membership function 2 2 2 and Gbell membership function. The results showed that the method is able to predict the outcome of UKMPPD with Mean Average Percentage Error (MAPE) 0.07%, minimum 0.00%, and maximum 0.44%.]]>
<![CDATA[Implementasi E-Modul pada Program Studi Manajemen Informatika Universitas Bina Darma Berbasis Web Mobile ]]>
<![CDATA[Imam Solikin]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.393
<![CDATA[The Information Management Studies Program is a Diploma (D III) education, which is on the Vocational Faculty. In the process of lectures are still many who use the module (paper print module). Situations like this resulted in students less than the maximum in learning and less to understand the subject matter because there is material that is missed, thus resulting in knowledge of students will less than the maximum science. One solution of the problem, the need for development in lecturing process by adding electronic media such as e-module. E-module is a document or article in electronic format. This research implements information technology (IT) in the form of e-module to improve student study Program Management Informatics Faculty Vocational University Bina Darma. The purpose of this implementation in order to facilitate student learning wherever the place because it can be accessed and learned by using smarthpone online in the form of e-module is a full module from the first material to the end. Development method used in this research is linear sequential model with several stages that is analysis, design, coding, testing, and support. The results obtained from the research in the form of mobile web-based e-module applications that can be opened through a smartphone. With this e-module student learning process can be more effective.]]>
<![CDATA[Perancangan DFD Berdasarkan Hasil Pengukuran Kualitas Website Melalui Metode Webqual4.0 Pada jd.id ]]>
<![CDATA[Kanji Prasetiyo]]>;
<![CDATA[Yudi Priyadi]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.395
<![CDATA[Currently JD.id website entered into five e-commerce website with the highest number of visitors in Indonesia, and no previous research that measures the level of quality of JD.id website. Measuring the quality of a website is useful to assess the overall e-commerce website based on consumer perceptions. This study aims to measure website quality using webqual 4.0 method based on user satisfaction variable with case study of JD.id website. Data Flow Diagram model is used to make system model recommendation design, while method of webqual 4.0 is used to measure website quality to user satisfaction. Research data in the form of questionnaires involving 384 respondents who had transacted on JD.id website. Data analysis techniques use descriptive statistics. Based on the results of research on the quality of JD.id website, simultaneously have a positive and significant impact on user satisfaction JD.id website. The result of partial test shows that three variables partially have a positive influence on user satisfaction JD.id website that is usability quality, information quality, and service interaction quality, with service interaction quality variable has the biggest influence. Therefore, system modeling using Context Diagram (CD) and Data Flow Diagram (DFD) focuses on service interaction quality variable with the addition of new entity that is CS Complain along with its process include procedure, processed complaint, and solution. Besides, there are also Data store Detail complaint.]]>
<![CDATA[Analisis Tingkat Kepuasan Pengguna dan Tingkat Kepentingan Penerapan SIMUTU Menggunakan Kerangka PIECES ]]>
<![CDATA[Ahmad Zaky]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.397
<![CDATA[Quality Assurance for an organization is a must because the organization that guarantees the quality is an organization that always meet the needs and satisfaction of its customers, because satisfied customers will increase to be loyal customers and this means will provide benefits for the organization concerned. University of Muhammadiyah Malang (UMM) has been using Information System for Quality Assurance designed for evaluation of academic service of University of Muhammadiyah Malang. Students can easily access Quality Management Information System (SIMUTU) anywhere and anytime. Because of the importance of SIMUTU for Quality Assurance of Muhammadiyah University of Malang, this research is conducted to determine whether Quality Management Information System (SIMUTU) has been running properly. In this research, analysis and evaluation of Information System using PIECES Framework analysis model with the purpose of measuring the level of satisfaction and importance level and analyzing the components - components what need to be improved again the quality of the waiter at SIMUTU. From 40 respondents got average result of level of satisfaction 3,53 which mean SIMUTU have give satisfaction to student, meanwhile importance level 3,79 which mean SIMUTU implementation is considered important to improve academic service of University of Muhammadiyah Malang.]]>
