Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Sistem Pakar Identifikasi Modalitas Belajar Siswa Menggunakan Metode Forward Chaining

2019-12-14T07:06:05+07:00

Student learning modalities are important to be identified by teachers and students. Because the success of students in the field of academics is supported by the appropriate student learning modalities. Often occurs in the process of teaching and learning teachers do not know the modalities of student learning so that the material in teaching teachers difficult to accept by students. Appropriate learning modalities that are in accordance with the methods taught by the teacher need to be built in an Expert System. Expert System that is processed in this research is taken from the expertise of teachers of Senior High School Counseling Guidance 1 Tilatang Kamang by using Forward Chaining method. Learning modalities are processed using expert systems created with php programming languages and mysql databases. Furthermore, this expert system can determine the modalities of visual learning, auditory and kinesthetic. The result of testing on this method is able to determine the learning modality in the students with the accuracy and the speed is good. Expert system test results have been able to determine student learning modalities clearly and can already be recommended to help teachers and students in improving the way students learn the right.

Perancangan Sistem Pendukung Keputusan Untuk Pemilihan Lokasi Dalam Perluasan Usaha Kafe menggunakan Analytical Hierarchy Process

2019-12-14T06:41:14+07:00

vanilla. The Milk Café was founded in 2015 which currently has 3 branches and 5 franchises in various cities in Central Java and D.I. Yogyakarta and many more. the milk café owner has plans to open a new café branch. The milk café owner does not yet have the right method for determining location selection recommendations. Currently, café owners only conduct surveys and then choose locations that they think are appropriate based on several criteria so that café owners are often hesitant in determining the right location. Choosing an improper business location can cause bankruptcy or failure to run a business. This study aims to find out how the AHP method is able to provide problem solving solutions in the selection of locations in the expansion of the café business. And how to build a decision support system application AHP method. The data used are location data to conduct a feasibility survey based on criteria data to locations that have been determined by the team leader, where the criteria for determining new cafes are strategic locations, market share, competitors, rental prices and area size ... results from AHP calculations for expansion of the café is that it can be concluded that the alternative location of Jl. Sultan Syahrir Surakarta was stated as the most suitable location to be chosen as the location of the new branch of The Milk Café with the highest weighting value of 0.235. While the least recommended alternative locations are Jl. Adi Soemarmo with the least total weight is 0.153.

Seleksi Fitur Berbasis Pearson Correlation Untuk Optimasi Opinion Mining Review Pelanggan

2019-12-11T17:02:46+07:00

The comments contained on e-commerce users generally contain opinions about positive or negative experiences at several online shops. Sentences that can be written indirectly both a little or a lot, will affect other potential customers. So as a result of these comments cause a product sold at an online store has a rating of two things namely "recommended" or "non-recommended". However, detection of positive and negative opinions manually will require more time because of the large amount of data. For this reason opinion mining using technology in data mining can be used to automate positive and negative detection of comments. However, one of the main problems in opinion mining is limited data but has a large number of attributes. In this study, we propose the application of Pearson correlation (PC) based feature selection for opinion mining optimization. The results of the experiment show that the application of PC increases the performance of opinion mining systems in 3 types of classification, namely Logistic Regression, Naïve Bayes and Support Vector Machine, resulting in more optimal accuracy, namely 98.80%, 87.87% and 98.12%.

Analisis Risiko dan Kontrol Perlindungan Data Pribadi pada Sistem Informasi Administrasi Kependudukan

2019-12-11T16:40:53+07:00

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.

Metode McCall’s untuk Pengujian Kualitas Sistem Informasi Administrasi Tugas Akhir (SIATA)

2019-12-12T11:47:57+07:00

Department of English, Politeknik Negeri Bandung applies the Information System of Final Project Administration to aid the final assignment administration management. However, when the system is applied some new problems appear. The problems affect the ongoing performances of administrative services. This study aims to analyze and test the quality of SIATA to find out the occurring problems and factors that influence SIATA’s quality. This study uses McCall’s method to measure the quality of software and its product. This analysis method is used to acquire specific problems. The analysis was conducted on product operation aspects consisting of quality factors of correctness, reliability, efficiency, integrity, and usability. Data were collected using questionnaires from 58 respondents comprised of lecturers, students, and administrative staff of the Department of English, Politeknik Negeri Bandung. The results of the research showed that the overall SIATA’s quality stood at the level of 55,22% (the quality was fairly good based on the scales of criteria to interpret the percentages of quality factors). The research comes up with some recommendations that can be used to improve the performance of SIATA’s quality.