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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Published by Ikatan Ahli Informatika Indonesia
ISSN : 25800760     EISSN : 25800760     DOI : https://doi.org/10.29207/resti.v2i3.606
Core Subject : Science, Engineering,
Computer Science & IT Engineering
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
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,070 Documents
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Virtual Reality Berbasis Video 360O Sebagai Alternatif Penyampaian Informasi Pelayanan Rumah Sakit Prayoga Pribadi; Triana Nur Cahyani; Retno Waluyo; Dhanar Intan Surya Saputra; Sitaresmi Wahyu Handani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (677.513 KB) | DOI: 10.29207/resti.v3i3.973

Abstract

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.
Alat Monitoring Detak Jantung Untuk Pasien Beresiko Berbasis IoT Memanfaatkan Aplikasi OpenSID berbasis Web Y Yuhefizar; Anggara Nasution; Roni Putra; Ervan Asri; Deni Satria
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 | Full PDF (763.18 KB) | 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.
Analisis Kebutuhan Sistem Informasi Pemantauan Pekerja Migran Indonesia Leonardi Paris Hasugian; Rangga Sidik; Yeffry Handoko Putra; Yusrila Y Kerlooza; Deden A Wahab
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 | Full PDF (818.908 KB) | 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..
Penerapan ECS Stemmer untuk Modifikasi Nazief & Adriani Berbahasa Jawa Nur Hidayatullah; Aji Prasetya Wibawa; Harits Ar Rosyid
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.362 KB) | DOI: 10.29207/resti.v3i3.994

Abstract

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.
Analisis Pola Prediksi Data Time Series menggunakan Support Vector Regression, Multilayer Perceptron, dan Regresi Linear Sederhana Ika Oktavianti; Ermatita Ermatita; Dian Palupi Rini
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 | Full PDF (640.713 KB) | 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 Temu Kembali Informasi Pada Gejala Autisme Dengan Metode Vector Space Model Bayu Sugara; 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 | Full PDF (946.671 KB) | 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.
Klasifikasi Berita Menggunakan Algoritma Naive Bayes Classifer Dengan Seleksi Fitur Dan Boosting Bobby Suryo Prakoso; Didi Rosiyadi; Heru Sukma Utama; Dedi Aridarma
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 | Full PDF (587.288 KB) | 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 Orissa Octaria; 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 | Full PDF (929.81 KB) | 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.
Analisis Sentimen Sistem Ganjil Genap di Tol Bekasi Menggunakan Algoritma Support Vector Machine Heru Sukma Utama; Didi Rosiyadi; Bobby Suryo Prakoso; Dedi Ariadarma
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 | Full PDF (650.683 KB) | 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.
Rancang Bangun Game Edukasi Biologi untuk Peningkatan Pemahaman Materi Genetika Fahrudin Mukti Wibowo; Muhammad Alfi Ramadhani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.912 KB) | DOI: 10.29207/resti.v3i3.1058

Abstract

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%.

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