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[Pengembangan Game Gamelan Gender Wayang Berbasis Virtual Reality ]]>
<![CDATA[Gede Yogi Wiryawan]]>;
<![CDATA[Dewa Gede Hendra Divayana]]>;
<![CDATA[Gede Aditra Pradnyana]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.881
<![CDATA[Gamelan is one of the most popular musical instruments and is admired by international gamelan residents, divided into three types, namely Javanese Gamelan, Balinese Gamelan and Sundanese Gamelan. One of the Balinese Gamelan instruments that is still used today is Gender Gamelan. Gamelan Gender Wayang has almost the same function as gamelan music in general, but the Gamelan Gender Wayang is not accompanied by other musical attributes such as dots or flutes. The purpose of this study is to develop Gamelan Gender Wayang Games Based on Virtual Reality so that this application can facilitate the younger generation in learning the Gamelan Gender Wayang music. This application allows users to feel the atmosphere of playing gamelan in general with the help of an HTC VIVE tool. This Virtual Reality Based Gamelan Gender Wayang Game Development uses the ADDIE model. There are five stages in the ADDIE model, namely Analysis (Analyze), Design (Design), Development (Development), Implementation (Implementation), and Evaluation (Evaluation). Product development with this model can produce good products, because at each phase that is passed can evaluate. Tests to find out the response of the community after using the Gamelan Gender Wayang Game Based on Virtual Reality were conducted using the questionnaire method and had results with an average percentage of 87.72% which means the application was in a very good category.]]>
<![CDATA[Sistem Informasi Monitoring Siswa Menggunakan SMS Gateway ]]>
<![CDATA[Helvywidya Utari]]>;
<![CDATA[Yaya Sudarya Triana]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.916
<![CDATA[SMK Telkom Bandung is one of the educational institutions under the Telkom Education Foundation called Telkom Schools. As a school that has a mission to implement information system based on Information and Communication Technologies (ICT) for learning media, SMK Telkom Bandung must have an information system that can process student data related to student absences and grades. The management of absence and grade of student is not efficient because in once assesment process still requires a long time, there are a lot of errors in the sum result and data loss. Where these data are used to measure of the progress of student achievement. Therefore, it is necessary to develop a monitoring system for students who can deliver absent report and student grades to parents quickly through SMS Gateway notifications to help monitor the teaching and learning process in schools. This information system was developed using the SDLC prototype and PIECES analysis approach by integrating Gammu SMS Gateway as a notification feature. In the testing phase using black box testing the results show that the system can documentation absent and grades in a structured manner, be able to convey student attendance report information and grades quickly, teachers can present and evaluate attendance report and reports and grades accurately, as well as with the SMS Gateway notification parents can help monitor the teaching and learning process at school.]]>
<![CDATA[Virtual Reality Berbasis Video 360O Sebagai Alternatif Penyampaian Informasi Pelayanan Rumah Sakit ]]>
<![CDATA[Prayoga Pribadi]]>;
<![CDATA[Triana Nur Cahyani]]>;
<![CDATA[Retno Waluyo]]>;
<![CDATA[Dhanar Intan Surya Saputra]]>;
<![CDATA[Sitaresmi Wahyu Handani]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.973
<![CDATA[The hospital is a health service institution that provides full range of personal health services providing inpatient, outpatient and emergency care services. Most hospitals, outpatient services are one of the most important services because the number of patients is more significant than inpatient services, requiring more attention in providing services and delivering information to patients. Submission of information on outpatient services, doctor's schedules, types of payments and several other services at the Hospital were developed to provide innovation, one of them using virtual reality technology as an alternative media so that the delivered message will be easily understood by patients and society. This research uses MDLC (Multimedia Development Life Cycle) development method. The results of this study is 360-based virtual reality video as an alternative media to deliver information that is expected to help the public in obtaining information about outpatient services in the Hospital.]]>
<![CDATA[Penerapan ECS Stemmer untuk Modifikasi Nazief & Adriani Berbahasa Jawa ]]>
<![CDATA[Nur Hidayatullah]]>;
<![CDATA[Aji Prasetya Wibawa]]>;
<![CDATA[Harits Ar Rosyid]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.994
<![CDATA[Stemming Javanese affix words using Nazief & Adriani modifications still has problems that cannot be solved such as overstemming, understemming, and unchange. Then there needs to be improvements to improve the performance of Nazief & Adriani modifications. This study aims to improve the performance of Nazief & Adriani modifications using the Enahnced Confix Stripping (ECS) modification method. The results of this study indicate that Enhanced Confix Stripping can improve performance that previously had an accuracy of only 78.2% to 97.9% with an error rate of 2.1%. And fixing errors that originally numbered 98 to 9 errors. But Enhanced Confix Stripping still has problems with the words "ngetan, kumanggah, kumarut, kumasis, kumareg, kumadul, kumaras, katawakake, and pangenan". The next research is expected to be able to solve this problem.]]>
<![CDATA[Rancang Bangun Game Edukasi Biologi untuk Peningkatan Pemahaman Materi Genetika ]]>
<![CDATA[Fahrudin Mukti Wibowo]]>;
<![CDATA[Muhammad Alfi Ramadhani]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.1058
<![CDATA[Education systems in schools today are generally still oriented to the material media books and verbal material delivery by the teacher. This problem raises the lack of understanding and lack of interest of students in understanding material, especially in Biology chapter Genetics. The learning media provided by the teacher are felt to be lacking to support the achievement of maximum student learning achievement. Therefore an interesting learning media is needed that aims to foster students 'interest in learning and increase students' understanding of genetic material. Alternative learning media that can be used is with educational games. In the process of developing this educational game using the waterfall method. The selection of the waterfall method is because the process of making each stage is systematic, meaning that each stage is interrelated so that it can facilitate the making of the system. The results of this study were in the form of an educational game "The Adventure of Cali-Cali" which was tested on students to find out the improvement in learning achievement. From the data obtained at the pretest results show that students still do not understand the genetic material provided by the teacher. This is evidenced by as many as 90.3% of students who have not met the Minimum Completion Criteria (KKM). Then the treatment game was given when the posttest showed that as much as 6.50% of students did not meet the KKM. The comparison of the results of the pretest and posttest showed an increase in student learning achievement which increased to 83.8%.]]>
<![CDATA[Analisis Risiko dan Kontrol Perlindungan Data Pribadi pada Sistem Informasi Administrasi Kependudukan ]]>
<![CDATA[Iqbal Santosa]]>;
<![CDATA[Raras Yusvinindya]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.1068
<![CDATA[Sistem Informasi Administrasi Kependudukan (SIAK) is an application used in managing personal data of residents in all cities/districts in Indonesia. Personal data becomes the public attention because if it is not managed properly it will have an impact on one's legal protection and non-compliance with regulations, i.e. Permenkominfo Nomor 20 tahun 2016 about Protection of Personal Data in the Electronic System. Risk analysis and control of personal data protection on SIAK applications are needed so that the personal data management can be carried out properly and comply with regulatory requirements. Data collected for this study are primary data, sourced from direct observations on the application, interview about assets related to SIAK along with possible risks, and also internal organizations documents. Data analysis was performed with a risk analysis using the ISO 31000: 2018 risk management process approach, where the identification of relevant risks refers to the Generic Risk Scenarios COBIT 5 For Risk, and the determination of relevant controls refers to the Department of Defense Instruction 8500.2 and NIST 800-53. This research involves the Head of Department and employees of Disdukcapil XYZ City that are related to the strategic and operational aspects of SIAK. The results of this study are the identification of 23 possible risks that are spread over 5 processes of personal data protection that classified into the medium-high risk level, and proposed risk control consisting of 19 preventive controls, 6 detective controls, and 2 corrective control.]]>
<![CDATA[Penggunaan Feature Selection di Algoritma Support Vector Machine untuk Sentimen Analisis Komisi Pemilihan Umum ]]>
<![CDATA[Imam Santoso]]>;
<![CDATA[Windu Gata]]>;
<![CDATA[Atik Budi Paryanti]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.1084
<![CDATA[At this time sentiment analysis is very widely used by people to see the extent of people's sentiments towards an object. Objects that can be used in sentiment analysis can be various kinds, for example about the product regarding receipt by consumers, agencies or institutions regarding the performance of the agency. Whereas for this study taking sentiment analysis of the State Institution namely the General Election Commission (KPU) about the sentiments of the implementation of the ELECTION simultaneously and also the results of the implementation of the ELECTION which have become the subject of discussion by netizens on social media. So this research takes retweet data and retention comments from Twitter social media users. The algorithm used in this study is Support Vector Machine (SVM), with optimization of the use of Weight by Correlation Feature Selection (FS). The results of cross validation SVM without FS are 66.49% for accuracy and 0.716 for AUC. Whereas SVM with FS is 81.18% for accuracy and 0.943 for AUC. Very significant improvement with the use of Weight by Correlation Feature Selection (FS).]]>
<![CDATA[Prediksi Indeks Harga Konsumen Menggunakan Metode Long Short Term Memory (LSTM) Berbasis Cloud Computing ]]>
<![CDATA[Soffa Zahara]]>;
<![CDATA[Sugianto]]>;
<![CDATA[M. Bahril Ilmiddafiq]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.1086
<![CDATA[Long Short Term Memory (LSTM) is known as optimized Recurrent Neural Network (RNN) architectures that overcome RNN’s lact about maintaining long period of memories. As part of machine learning networks, LSTM also notable as the right choice for time-series prediction. Currently, machine learning is a burning issue in economic world, abundant studies such predicting macroeconomic and microeconomics indicators are emerge. Inflation rate has been used for decision making for central banks also private sector. In Indonesia, CPI (Consumer Price Index) is one of best practice inflation indicators besides Wholesale Price Index and The Gross Domestic Product (GDP). Since CPI data could be used as a direction for next inflation move, we conducted CPI prediction model using LSTM method. The network model input consists of 28 variables of staple price in Surabaya and the output is CPI value, also the entire development of prediction model are done in Amazon Web Service (AWS) Cloud. In the interest of accuracy improvement, we used several optimization algorithm i.e. Stochastic Gradient Descent (sgd), Root Mean Square Propagation (RMSProp), Adaptive Gradient(AdaGrad), Adaptive moment (Adam), Adadelta, Nesterov Adam (Nadam) and Adamax. The results indicate that Nadam has 4,008 RMSE’s value, less than other algorithm which indicate the most accurate optimization algorithm to predict CPI value.]]>
<![CDATA[Performansi Navigasi Robot Leader-Follower menggunakan Algoritma Logika Fuzzy Interval Tipe 2 ]]>
<![CDATA[Gita Fadila Fitriana]]>;
<![CDATA[Rifki Adhitama]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.1094
<![CDATA[A leader-follower robot is used to perform different tasks without continuous human assistance. The movement of robot leader-follower to environment who do not structure, avoid persecution and achieving goals is very difficult. Related to the problem, the robot leader-follower requires navigating robots independently using Interval Fuzzy Logic Type-2 (IFLT) 2 Algorithm. The IFLT 2 algorithm performance is successfully applied to this leader-follower robot, with 8 base rules less than the Fuzzy Logic Type 1 Algorithm. This simulation, the robot successfully moves to avoid obstacles and go hand in hand with the position of the follower robot always following the position of the robot leader.]]>
<![CDATA[Analisis Sentimen Analisis Sentimen E-Wallet Pada Google Play Menggunakan Algoritma Naive Bayes Berbasis Particle Swarm Optimization ]]>
<![CDATA[Suwanda Aditya Aaputra]]>;
<![CDATA[Didi Rosiyadi]]>;
<![CDATA[Windu Gata]]>;
<![CDATA[Syepry Maulana Husain]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v3i3.1118
<![CDATA[Increasingly sophisticated technology brings various conveniences both in transportation, information, education to the convenience of transactions in shopping, such as the development of E-wallet can now be easily done using a smartphone. From a number of e-wallet products, researchers took a case study, which is OVO product, which is currently being discussed by many groups, especially in the capital of Jakarta today. Customers or clients who are not satisfied with the services or products offered by a company will usually write their complaints on social media or reviews on Google play. However, monitoring and organizing opinions from the public is also not easy. For this reason, we need a special method or technique that is able to categorize these reviews automatically, whether positive or negative. The algorithm used in this study is Naive Bayes Classifier (NB), with the optimization of the use of Particle Swarm Optimization Feature Selection (FS). The results of cross validation NB without FS are 82.30% for accuracy and 0.780 for AUC. Whereas for NB with FS is 83.60% for accuracy and 0.801 for AUC. Very significant improvement with the use of Feature Selection (FS) Particle Swarm Optimization.]]>
