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Yuhefizar
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jurnal.resti@gmail.com
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+628126777956
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Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.
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INDONESIA
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
ISSN : 25800760     EISSN : 25800760     DOI : https://doi.org/10.29207/resti.v2i3.606
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
Articles 30 Documents
Search results for , issue "Vol 3 No 2 (2019): Agustus 2019" : 30 Documents clear
Sistem Rekomendasi Produk Menggunakan Model RFM, AHP dan Ranked Clustering Monalisa, Siti; Asrori, Achmad Harpin; Kurnia, Fitra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.810

Abstract

Monstreation is a business engaged in clothing convection, these business products are marketed online such as jackets and shirts for class, shirt and community clothing. The problem that occurs in this convection is the lack of product recommendation services to customers. Another problem is that if there are customers who order products that are not in accordance with their needs, the customer will rarely order products at Monstreation. The solution used is to provide services that match the characteristics of the customer, for example by giving product recommendations. Product recommendations are also needed considering this type of business is a business that has many business rivals. The steps taken in this study begin by collecting customer transaction data, then the data is transformed into RFM criteria data. After being transformed, the data is weighted using AHP, after that the RFM data is weighted then grouped / clustered. The grouping results are validated with DBI. From the experiments conducted it is known that the number of cluster 3 is the optimal number of clusters in product grouping. After it is ranked based on the value of the total weight. From the experiments conducted, it is known that the results of the 3 customer clusters, the customers who have the highest weight value are customers in cluster 1. The results of this study are a product recommendation that is an association of product history of customers who have a cluster similarity and a product recommendation information system.
Analisis Sentimen Sistem Ganjil Genap di Tol Bekasi Menggunakan Algoritma Support Vector Machine Utama, Heru Sukma; Rosiyadi, Didi; Prakoso, Bobby Suryo; Ariadarma, Dedi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.1050

Abstract

Analysis of the odd even-numbered sentiment systems in Bekasi toll using the Support Vector Machine Algorithm, is a process of understanding, extracting, and processing textual data automatically from social media. The purpose of this study was to determine the level of accuracy, recall and precision of opinion mining generated using the Support Vector Machine algorithm to provide information community sentiment towards the effectiveness of the odd system of Bekasi tiolls on social media. The research method used in this study was to do text mining in comments-comments regarding posts regarding even odd oddities on Bekasi toll on Twitter, Instagram, Youtube and Facebook. The steps taken are starting from preprocessing, transformation, datamining and evaluation, followed by information gaon feature selection, select by weight and applying SVM Algorithm model. The results obtained from the study using the SVM model are obtained Confusion Matrix result, namely accuracyof 78.18%, Precision of 74.03%, and Sensitivity or Recall of 86.82%. Thus this study concludes that the use of Support Vector Machine Algorithms can analyze even odd sentiments on the Bekasi toll road.
Klasifikasi Berita Menggunakan Algoritma Naive Bayes Classifer Dengan Seleksi Fitur Dan Boosting Prakoso, Bobby Suryo; Rosiyadi, Didi; Utama, Heru Sukma; Aridarma, Dedi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.1042

Abstract

Penelitian yang dilakukan ini merupakan bagian dari text mining untuk klasifikasi konten berita yang telah memiliki label berdasarkan katagori berita pada situs detik.com . Proses yang dilakukan adalah melakukan permodelan dan pengolahan data, mulai proses pre-processing, proses seleksi fitur information gain, dan penerapan model algoritma Naive Bayes Classifier dengan Bayesian Boosting. Hasil yang diperoleh atas model tersebut mendapatkan nilai evaluasi terhadap akurasi, recall, dan presisi sebesar 73.2%. Sedangkan dengan model yang lebih ringkas yaitu model algoritma Naive Bayes Classifier, dengan Bayesian Boosting mendapatkan nilai evaluasi yang sama besar yaitu 73.2%. Penilaian atas hasil evaluasi model yang telah terlaksankan berkesimpulan bahwa penerapan seleksi fitur Information Gain tidak berpengaruh besar atas kenaikan hasil performa terhadap kondisi label Polynomial.
Penerapan Knowledge Management System Menggunankan Algoritma Levenshtein Octaria, Orissa; Ermatita, Ermatita; Sukemi, Sukemi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.1045

Abstract

Knowledge management (KM) is an important thing to store or possess existing knowledge. The difficulty of getting knowledge that has actually been known for a long time about special planning for new information is to repair a certain position, in this case the container that contains several private universities in Palembang. The lecturer can only find out how the system discusses in the college, and many other knowledge that must be discussed by the new lecturer. Therefore the Knowledge Management System (KMS) will be built using the Inukshuk Model to become a means for existing knowledge, while the algorithm for searching knowledge stored in KMS is the Levenshtein Algorithm. The selection of the Levenshtein algorithm itself which uses this algorithm measures the relationship between strings (words to words, words to sentences and sentences to sentences) by calculating the edit distance, so that it will produce a high level of acquisition. The result is a KMS that is important for private universities to store and manage knowledge web-based services to make it easier for today's users to use many internet networks.
Sistem Temu Kembali Informasi Pada Gejala Autisme Dengan Metode Vector Space Model Sugara, Bayu; Dody, Dody; Donny, Donny
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.1028

Abstract

Information is now very easy to get anywhere. Information technology, especially the internet, strongly supports the exchange of information very quickly. The internet has become an information and communication media that has been used by many people with many interests, especially in taking large-scale information data, Unfortunately the information presented is sometimes less relevant. Quality information is influenced by relevance, accuracy and on time. However, there are not many effective search systems available. This study discusses the implementation of an information retrieval system to find and find symptoms of autism disorders using the Vector Space Model (VSM) method. Vector Space Model (VSM) is a model used to measure the similarity between a document and a query. In this model, queries and documents are considered vectors in n dimensional space. Where n is the number of all terms listed. The purpose of this study was to design an information retrieval software to find and match the symptoms of autism disorders. By using Vector Space Model, it is hoped that it can provide a solution to the search engine to provide text matching information in the database using certain keywords, the results of the matching are presented in the form of ranks.
Analisis Pola Prediksi Data Time Series menggunakan Support Vector Regression, Multilayer Perceptron, dan Regresi Linear Sederhana Oktavianti, Ika; Ermatita, Ermatita; Rini, Dian Palupi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.1013

Abstract

Licensing services is one of the forms of public services that important in supporting increased investment in Indonesia and is currently carried out by the Investment and Licensing Services Department. The problems that occur in general are the length of time to process licenses and one of the contributing factors is the limited number of licensing officers. Licensing data is a time series data which have monthly observation. The Artificial Neural Network (ANN) and Support Vector Machine (SVR) is used as machine learning techniques to predict licensing pattern based on time series data. Of the data used dataset 1 and dataset 2, the sharing of training data and testing data is equal to 70% and 30% with consideration that training data must be more than testing data. The result of the study showed for Dataset 1, the ANN-Multilayer Perceptron have a better performance than Support Vector Regression (SVR) with MSE, MAE and RMSE values is 251.09, 11.45, and 15.84. Then for dataset 2, SVR-Linear has better performance than MLP with values of MSE, MAE and RMSE of 1839.93, 32.80, and 42.89. The dataset used to predict the number of permissions is dataset 2. The study also used the Simple Linear Regression (SLR) method to see the causal relationship between the number of licenses issued and licensing service officers. The result is that the relationship between the number of licenses issued and the number of service officers is less significant because there are other factors that affect the number of licenses.
Sistem Pelacakan Lokasi Pelaporan Petugas Lapangan Irigasi Provinsi Sumatera Barat Berbasis GPS Smartphone dan WebGIS Sunaryo, Budi; Rusydi, Muhammad Ilhamdi; Rusdi, Jack Febrian; Suriani, Rifda; Daus, Syafril
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.957

Abstract

Tracking the location from the side of the report and the position of the reporter in real-time is very much needed in validating the performance of irrigation field officers. The location tracking system represented in smartphone applications, and digital maps are a practical solution for supervisors in monitoring the performance of field officers. The Global Positioning System (GPS) module on Android smartphones and the Web Geographic Information System (WebGIS) are supporting technologies for the system. Each location coordinate on the report will be sent automatically to the MySQL database server, then each coordinate location of the field officer will be sent to the Firebase Realtime Database, coupled with a database synchronization system to handle reports offline when officers are in areas that do not have internet access. Database synchronization plays a role in handling report data stored in the SQLite database on an Android smartphone with a MySQL database server. This system is useful for supervisors in controlling and monitoring the performance of irrigation field officers and can be used as material for decision making. After being implemented in several Irrigation Areas in West Sumatra Province by 113 users consisting of 13 supervisors and 100 field officers, the supervisors can track the location of the report, follow the position of field officers in real-time and send reports offline.
Analisis Kebutuhan Sistem Informasi Pemantauan Pekerja Migran Indonesia Hasugian, Leonardi Paris; Sidik, Rangga; Putra, Yeffry Handoko; Kerlooza, Yusrila Y; Wahab, Deden A
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.978

Abstract

There are still many Indonesian Migrant Worker - Pekerja Migran Indonesia (PMI) involved in crime, both as victims and under the state. This shows that stakeholders including the government in the protection of PMI have not been idealized. Current efforts tend to focus on laws and regulations, on the other hand the lack of response, time, and precise. That issues should be avoided if there is a continuous form of communication between PMI and the government and / or other stakeholders during the placement of PMI abroad. This study resulted in a needs analysis to develop monitoring information system to provide information on PMI. The needs analysis results in PEST and SWOT analysis. Indicate that PMI need to make reports regularly using a monitoring information system. The monitoring information system will monitor PMI's condition to assess their situation and notify the government and / or other stakeholders if there is a response that needs to be followed up..
Alat Monitoring Detak Jantung Untuk Pasien Beresiko Berbasis IoT Memanfaatkan Aplikasi OpenSID berbasis Web Yuhefizar, Y; Nasution, Anggara; Putra, Roni; Asri, Ervan; Satria, Deni
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.974

Abstract

Patients with arrhythmia symptoms must undergo a healthy lifestyle and routinely conduct consultations and heart rate control with the doctor. The most important thing about this is the integrated health monitoring tool. In this study a portable heart rate monitoring tool is proposed for patients at risk of low-cost IoT-based with SMS alert system utilizing the OpenSID database. . Module ESP8266 Wi-Fi is used to communicate the web server gateway and pulse sensor to detect the heart rate which converted to Bit per Minute (BPM). Heart rate data is saved to the database server using TCP IP communications. Patients and doctors can see heart rate information trough the website in real-time. Alert system will send notification information via short message service (SMS ) to doctors, person in charge and family if heart rate below 60 BPM and above 100 BPM. the time needed for sending SMS is about 7 to 8 seconds. Test results show the whole system is running well. This tool is expected can accompany the risk patients do their activities safely and both doctors and families easier to supervise the patients.
Perancangan Enterprise Architecture Pada Bidang Agroforestry Menggunakan Metode Togaf 9.1 Adm Almunadia, Ega Silvana; Kusumasari, Tien Fabrianti; Santosa, Iqbal
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i2.958

Abstract

Perum Perhutani is a State-Owned Enterprise (SOE) that focus on forest management. One of the Perum Perhutani’s main businesses is Agroforestry. To achieve the business goals of Agroforestry, Perum Perhutani requires an information system that is capable of supporting its management activities. In developing IT, Perum Perhutani has a reference, that is the SOE Regulation Number: PER-03 / MBU / 02/2018 regarding the Information Technology Management Preparation Guide that every BUMN must align business strategy with the IT strategy. So, Perum Perhutani requires the design of Enterprise Architecture. The framework that will be used in designing Enterprise Architecture is the Open Group Architecture Framework (TOGAF) and the TOGAF Architecture Development Method (ADM) method. The output of this design is a blueprint and IT Roadmap for 5 years that can be used as an implementation guide.

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