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All Journal INTEGER: Journal of Information Technology KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Rinci Kembang Hapsari
Scopus ID: 57209245999, Institut Teknologi Adhi Tama Surabaya
Computer Science & IT Electrical & Electronics Engineering Other

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Analisis Sentimen Terhadap Video Ulasan Produk Menggunakan Metode Support Vector Machine Dengan Sequential Minimal Optimization Mohammad Aji Subarkah; Wenny Mistarika Rahmawati; Septiyawan Rosetya Wardhana; Rinci Kembang Hapsari
KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Vol 3, No 2 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.kernel.2022.v3i2.4039

Abstract

The popularity of video as a medium for reviewing a product today has created interest and dependence on other users to look for video recommendations before buying the desired effect. Youtube social media is one of the media that has product reviews in the form of videos. The use of sentiment analysis can predict the tendency of someone's video review to have a positive or negative opinion which can be done by processing the video review into text form first using speech recognition. In this study, thoughts that have been in the form of text will be followed by the process of tokenizing, weighting and classification by applying the Support Vector Machine (SVM) algorithm model using Sequential Minimal Optimization (SMO) optimization. Based on the results of this study, it shows that the accuracy, recall, precision and f-measure values will increase with the increasing number of terms tested, while the C value variable in the enhanced SMO cannot be retrieved because the resulting accuracy value fluctuates. The test results with term 300 and C 1.5 get the highest value: accuracy 89.91%, recall 89.12%, precision 94.97% and f-measure 91.05.
Implementasi Kriptografi Dengan Algoritma RSA pada Aplikasi Transfer File Wahyu Widodo; Racmad Ardiyanto; Rinci Kembang Hapsari
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2023: SNESTIK III
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2023.4093

Abstract

Currently, the security of information on data has become an important role in the world of technology, especially in exchanging information. One of them is file transfer. Transferring files here requires an internet connection, which will likely spread the news to irresponsible parties. Therefore, cryptography is used to secure information using the RSA algorithm. From the implementation of cryptography with the RS algorithm, there are three processes: key generation, encryption, and decryption. The results of this study from the RSA algorithm computation time for encryption for testing files with different numbers of characters have an average of 825 ms. In comparison, decryption is 781.2 ms with Throughput, which averages 221,470 Kbps.
Klasifikasi Penderita Penyakit Diabetes Berdasarkan Decision Tree Menggunakan Algoritma C4.5 Rinci Kembang Hapsari; Bagas Aulifia Riski Putra Wahyu; Achmad Fayi Farozi; Caesario Putra Mahendra
INTEGER: Journal of Information Technology Vol 8, No 1: Maret 2023
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2023.v8i1.4423

Abstract

Diabetes is a metabolic disease characterized by high blood sugar levels (hyperglycemia) caused by a lack of insulin or the ineffectiveness of insulin in regulating glucose metabolism. In addition there are other factors that cause diabetes such as heredity, weight, age, blood pressure and so on. It is estimated that the death rate caused by diabetes will continue to increase every year. Treatment of diabetes can be done by controlling blood sugar levels, eating a healthy diet, exercising regularly, and if necessary, carrying out early checks to reduce the risk of developing diabetes. Therefore it is necessary to have an early diagnosis which is expected to reduce diabetes and reduce complications of diabetes in the future. One thing that can be done is to apply the method contained in data mining, namely utilizing the classification method using the C4.5 algorithm which can produce more accuracy. Classification can be used as early treatment of this disease. Algorithm C4.5 is an algorithm that is used to form a decision tree. From the test results, it produces a fairly large accuracy, namely 85% Precision of 92%, and Recall of 85%.
Co-Authors Achmad Fayi Farozi Bagas Aulifia Riski Putra Wahyu Caesario Putra Mahendra Mohammad Aji Subarkah Racmad Ardiyanto Septiyawan Rosetya Wardhana Wahyu Widodo Wenny Mistarika Rahmawati