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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1,046 Documents
<![CDATA[Seleksi Fitur pada Klasifikasi Penyakit Gula Darah Menggunakan Particle Swarm Optimization (PSO) pada Algoritma C4.5 ]]>
<![CDATA[Dwi Meylitasari Tarigan]]>;
<![CDATA[Dian Palupi Rini]]>;
<![CDATA[Samsuryadi]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1881
<![CDATA[Diabetes Mellitus (DM) is a disease caused by blood sugar level increased were higher than the maximum limit. Food consumed tends to contain uncontrolled sugar which could cause the drastic increase of blood sugar level. It is necessary to efforts, to increasing the public awareness to controlling blood sugar and the risks of increasing blood sugar level so as to determine of preventive and early detection measures One of used of data mining technique is information technology in the health sector which used a lot as a decision maker to predicting and diagnosing a several disease. This research aims to optimizing the features on classification of the data mining with the C4.5 algorithm using Particle Swarm Optimization (PSO) to detect the blood sugar level in patient. The dataset used is the effect of physical activity to the Blood Sugar Level at H. Abdul Manan Simatupang Kisaran Regional Public Hospital. The amount of dataset used is 42 record with 10 attributes. The result of this research obtained that the Particle Swarm Optimization (PSO) may increasing the accuracy performance of C4.5 from 86% to 95%. Whereas the evaluation result of the AUC Value increasing from 0,917 to 0,950. From those 10 attributes which are then selection with using PSO into 7 attributes used to determine the prediction of sugar level. Therefore the Algorithm C4.5 using the Particle Swarm Optimization (PSO) may provide the best solution to the accuracy of detection blood sugar levels.]]>
<![CDATA[Sistem Pakar Untuk Mengidentifikasi Kerusakan Perangkat PABX Panasonic NS1000 Dengan A* Pathfinding ]]>
<![CDATA[Siswanto Siswanto]]>;
<![CDATA[Helmy Ligaputra]]>;
<![CDATA[M. Anif]]>;
<![CDATA[Windu Gata]]>;
<![CDATA[Basuki Hari Prasetyo]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1882
<![CDATA[Someone can be said to have the ability to handle damage to the Panasonic NS1000 PABX device and perform a configuration of at least 3 years or already have a certificate of competence and training. The problem to be investigated is the number of experts there is only one and can only identify 5 damage per day and 1 day there are 25 damage. PABX Panasonic NS1000 has 30 rules and 130 data symptoms of damage as its knowledge base. This Expert System is designed to identify damage to PABX Panasonic NS1000 mobile application-based applications using the A * (A star) pathfinding algorithm and the forward chaining method with the PHP (Jquery Mobile) programming language and the database using MySQL, as an application program used by PT. Mediatama Anugrah Citra to facilitate the process of troubleshooting and effective problem solving on target. The features in this expert system include the identification of problems, the identification process, up to the achievement of the goal state and solutions effectively, quickly and precisely, the user as the user or admin has its own login and access rights in identifying, entry and editing. In the programming case testing process it can be seen that the application of the A * Pathfinding algorithm with the heuristic function has proven ineffectively implemented in the expert system and the results of the UAT testing process, the respondents agree (above 91.23%) that overall the expert system helps the expert and can deduce damage to PABX devices correctly.]]>
<![CDATA[Rekayasa Ulang Sistem Informasi Beasiswa IKAPCR ]]>
<![CDATA[Apriantoni Apriantoni]]>;
<![CDATA[Indah Lestari]]>;
<![CDATA[Dadang Syarif Sihabudin Sahid]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i5.1889
<![CDATA[The Politeknik Caltex Riau’s Alumni Association (IKAPCR) has a scholarship information system that contains a Decision Support System (DSS) and scholarship financial management. The IKAPCR scholarship information system requires a reengineering process of several features to meet the needs of system users at the management level. Evaluation of beta testing on IKAPCR scholarship information system shows that the system runs normally as it should based on user requirements, it is informative and innovative, and able to accelerate the scholarship acceptance selection process. While its weaknesses are the process of data integration with the academic system of Politeknik Caltex Riau (PCR), regular reminder donation services via e-mail and SMS, data management on semester payments for scholarship recipients and additional variations graphic info for the analysis process. Therefore, this system needs a reengineering process to improve efficiency at each mechanism of the process. Testing with WebQual of 117 students and 33 PCR alumni, the accuracy of the student respondents was 79.7% which showed that respondents agreed that the quality of the web was good and 80.2% of the alumni respondents indicated that respondents strongly agreed on good web quality.]]>
<![CDATA[Educational Game in Learning Arabic Language for Modern Islamic Boarding School ]]>
<![CDATA[Hasna Azizah]]>;
<![CDATA[Fatah Yasin Irsyadi]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1894
<![CDATA[Modern Islamic Boarding Schools began to implement the 2013 Curriculum without overriding the cottage materials sourced from Kitab. The Kitab used is written in Arabic. Even some Kitab are written without harakat, or commonly called bald Arab. Therefore, students have demands to memorize a lot of mufrodat (Arabic vocabulary) and have a heavier learning burden. Arabic is the key to understanding students in the matter of the lodge. Though the learning process is carried out conventionally and theoretically without interesting learning media. The purpose of making educational games in learning Arabic that is adapted to the Arabic curriculum is so that students can balance K13-based learning with teaching processes that are more effective, efficient, and enjoyable. Researchers chose Grade VII students as users in this educational game because they are the first level in the junior high school unit and to increase the attractiveness of students in learning Arabic. The application creation process uses Construct 2 software, Adobe Illustrator 2019 and Adobe Photoshop CS6. The results of this study, based on the results of User Acceptance Testing (UAT) show the average value of interpretation or user ratings of 89.92% which shows that the level of acceptance of respondents in the category of “Strongly Agree”. The application can help students in memorizing mufrodat shown with an average percentage of 95.2%. This result is supported by the research instrument in 9 questions about valid and reliable questionnaires that were tested using IBM SPSS Statistics 25 software.]]>
<![CDATA[Penentuan Centroid Awal K-means pada Proses Clustering Data Evaluasi Pengajaran Dosen ]]>
<![CDATA[Ridho Ananda]]>;
<![CDATA[Achmad Zaki Yamani]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1896
<![CDATA[Decision making about microteaching for lecturers in ITTP with the low teaching quality is only based on three lowest order from teaching values. Consequently, the decision is imprecise, because there is possibility that the lecturers are not three. To get the precise quantity, an analysis is needed to classify the lecturers based on their teaching values. Clustering is one of analyses that can be solution where the popular clustering algorithm is k-means. In the first step, the initial centroids are needed for k-means where they are often randomly determined. To get them, this paper would utilize some preprocessing, namely Silhouette Density Canopy (SDC), Density Canopy (DC), Silhouette (S), Elbow (E), and Bayesian Information Criterion (BIC). Then, the clustering results by using those preprocessing were compared to obtain the optimal clustering. The comparison showed that the optimal clustering had been given by k-means using Elbow where obtain four clusters and 0.6772 Silhouette index value in dataset used. The other results showed that k-means using Elbow was better than k-means without preprocessing where the odds were 0.75. Interpretation of the optimal clustering is that there are three lecturers with the lower teaching values, namely N16, N25, and N84.]]>
<![CDATA[Perbandingan Peramalan Harga Beras Menggunakan Metode ARIMA pada Amazon Forecast dan Sagemaker ]]>
<![CDATA[Is Mardianto]]>;
<![CDATA[Muhamad Ichsan Gunawan]]>;
<![CDATA[Dedy Sugiarto]]>;
<![CDATA[Abdul Rochman]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1902
<![CDATA[Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company of Cipinang Rice Main Market every day publishes data on price, type of rice and the amount of rice that enters and exits Jakarta area. This study aims to forecast rice prices in the Jakarta area using data held by PT FoodStation during the 2016-2018 data period. Rice price prediction is carried out for the next 30 days using the Auto Regressive Integrated Moving Average (ARIMA) method on the Amazon Forecast and Amazon Sagemaker platforms. The ARIMA model is a form of regression analysis that measures the strength of one dependent variable that is relatively influential on other change variables. The ARIMA model is a special type of regression model in which the dependent variable is considered stationary and the independent variable is the lag or previous value of the dependent variable itself and the error lag. ARIMA is a combination of auto-regressive and moving average processes. The final result obtained in this experiment is that the ARIMA model on Amazon Sagemaker cloud computing is superior when compared to Amazon Forecast. From the experimental results obtained the results of Amazon Sagemaker RMSE (313.379941) are smaller than Amazon Forecast (322.4118029). So it can be concluded that the ARIMA model run at Amazon Sagemaker is more accurate than Amazon Forecast for forecasting the price of rice for 30 days at the Cipinang Rice Main Market]]>
<![CDATA[Penerapan Metode Static Forensics untuk Ekstraksi File Steganografi pada Bukti Digital Menggunakan Framework DFRWS ]]>
<![CDATA[Sunardi]]>;
<![CDATA[Imam Riadi]]>;
<![CDATA[Muh. Hajar Akbar]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1906
<![CDATA[Steganography is one of the anti-forensic techniques that allow criminals to hide information in other messages so that during the investigation, the investigator will experience problems and difficulty in getting evidence of original information on the crime. Therefore an investigator is required to have the ability to be able to find and extract (decoding) using the right tools when opening messages that have been inserted by steganography techniques. The purpose of this study is to analyze digital evidence using the static forensics method by applying the six stages to the Digital Forensics Research Workshop (DFRWS) framework and extracting steganography on files that have been compromised based on case scenarios involving digital crime. The tools used are FTK Imager, Autopsy, WinHex, Hiderman, and StegSpy. The results of extraction of 9 out of 10 files that were scanned by steganography files had 90% success and 10% of steganography files were not found, so it can be concluded that the extraction files in steganographic messages can be used as legal digital proofs according to law.]]>
<![CDATA[Meningkatkan Pengambilan Dokumen dengan Koreksi Ejaan untuk Hadits yang Lemah dan Palsu Terjemahan Bahasa Indonesia ]]>
<![CDATA[muhammad zaky ramadhan]]>;
<![CDATA[Kemas Muslim Lhaksmana]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1913
<![CDATA[Hadith has several levels of authenticity, among which are weak (dhaif), and fabricated (maudhu) hadith that may not originate from the prophet Muhammad PBUH, and thus should not be considered in concluding an Islamic law (sharia). However, many such hadiths have been commonly confused as authentic hadiths among ordinary Muslims. To easily distinguish such hadiths, this paper proposes a method to check the authenticity of a hadith by comparing them with a collection of fabricated hadiths in Indonesian. The proposed method applies the vector space model and also performs spelling correction using symspell to check whether the use of spelling check can improve the accuracy of hadith retrieval, because it has never been done in previous works and typos are common on Indonesian-translated hadiths on the Web and social media raw text. The experiment result shows that the use of spell checking improves the mean average precision and recall to become 81% (from 73%) and 89% (from 80%), respectively. Therefore, the improvement in accuracy by implementing spelling correction make the hadith retrieval system more feasible and encouraged to be implemented in future works because it can correct typos that are common in the raw text on the Internet.]]>
<![CDATA[Sistem Pakar Menggunakan Metode Pembobotan Gejala Penyakit Mata ]]>
<![CDATA[Adie Wahyudi Oktavia Gama]]>;
<![CDATA[Dewa Ayu Putu Adhiya Garini Putri]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1925
<![CDATA[The expert system is a branch of artificial intelligence that was developed to emulate an expert's ability to solve problems. Expert systems have been widely developed by many researchers in various fields, including the health field. Various methods have been applied to make a decision in the form of an early diagnose that is obtained accurately. This study begins with simple idea to develop an expert system which more accurate than previous research. This study applies a backward chaining method to trace the disease coupled with giving weight value to the symptoms for each eye disease. The backward chaining method works by selecting one of the diseases to explore the rules. After the disease is determined, the supporting symptoms with the highest weight of the disease will be displayed by the system to be answered by the user. Symptoms and eye diseases in this study are sourced from the eye disease reference book. The symptom weight value for each disease was obtained from giving questionnaires and direct interviews to the ophthalmologist. Giving weights value is done in order to get an early diagnosis more accurate. The early diagnosis that is obtained accurately will support the decision making for the next action that must be done. The results indicate how much the percentage of early diagnosis of eye disease that the patient may suffer based on the symptoms that are answered. The early diagnosis produced by the system is not a final decision, but rather will be used as a decision support to take further action.]]>
<![CDATA[Prediksi Tingkat kerawanan penyakit Demam Berdarah Menggunakan Algoritma K-NN dan Random forest (studi kasus di Bandung) ]]>
<![CDATA[Abduh Salam]]>;
<![CDATA[Sri Suryani Prasetiyowati]]>;
<![CDATA[Yuliant Sibaroni]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v4i3.1926
<![CDATA[Indonesia is a country that is prone to Dengue Fever, this happens because Indonesia is a country with a tropical climate. More than 50 years after Indonesia contracted the dengue virus, dengue fever cases have not been resolved, currently the cases that occur are greatly increased over time this happens because of factors that cause dengue fever. By considering this serious problem, the authors created a system that can predict the vulnerability level in Bandung and looks for the factors that most influence from all factors of Dengue Fever using the KNN Algorithm and Random Forest. The results of the system show the results of the best model is KNN algorithm with RMSE 29,26, and from the model shows the most influencing factors are population density, growth rate population mobility, rainfall, wind speed. by utilizing the results of the study, the government can adjust actions to each level of sub-district vulnerability and pay more attention to the factors that most influence dengue fever according to the results of the study.]]>
