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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer INTEGER: Journal of Information Technology Network Engineering Research Operation [NERO] Zeta - Math Journal JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Nasional Teknologi Terapan KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rinci Kembang Hapsari
Institut Teknologi Adhi Tama Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mathematics Other

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Journal : INTEGER: Journal of Information Technology

 1 
Aplikasi Findgo-ITATS Berbasis Android Dengan Algoritma SURF Untuk Menampilkan Informasi Lokasi Di ITATS Hapsari, Rinci Kembang; Sulaiman, Nur; Hermanto, Luky Agus
INTEGER: Journal of Information Technology Vol 1, No 1 (2016): Maret
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.141 KB) | DOI: 10.31284/j.integer.2016.v1i1.57

Abstract

Institut Teknologi Adhi Tama Surabaya (ITATS) is an institute that has relatively wide territory and complicated building arrangement for outsiders especially related to identification of buildings that they want to visit. To overcome this problem, an android based application that can be used to gain information related to those buildings, locations of places or important places in real-time is required. Augmented Reality (AR) is the appropriate technology to display environment and locations information at ITATS in real-time. The implementation of Augmented Reality technology on android based smartphones using Speeded Up Robust Features (SURF) can identify pictures continuously and has proper identification speed. Speeded Up Robust Features (SURF) is an algorithm that has been commonly applied in correspondence matching because it is faster than Scale Invariant Feature Transform (SIFT) and has appropriate and accurate performance maintenance. In designing this application, there are three main stages that should be considered, namely: initialization, tracking marker, and object rendering. Initialization is the stage where images that becomes the database is preliminary processed with Speeded Up Robust Features (SURF) algorithm and  the preparation of the displayed information on the users’ smartphones. The second is tracking marker, smartphone camera takes pictures continuously while processing every inputted image applying Speeded Up Robust Features (SURF) and conducting matching process of images in the database. The final stage, after a match is found, this application displays the text information which corresponds with the matching result. The reliability of this system in recognizing locations at ITATS is 81.66% and average time required is 2.333 seconds.
Aplikasi Findgo-ITATS Berbasis Android Dengan Algoritma SURF Untuk Menampilkan Informasi Lokasi Di ITATS Rinci Kembang Hapsari; Nur Sulaiman; Luky Agus Hermanto
INTEGER: Journal of Information Technology Vol 1, No 1 (2016): Maret 2016
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2016.v1i1.57

Abstract

Institut Teknologi Adhi Tama Surabaya (ITATS) is an institute that has relatively wide territory and complicated building arrangement for outsiders especially related to identification of buildings that they want to visit. To overcome this problem, an android based application that can be used to gain information related to those buildings, locations of places or important places in real-time is required. Augmented Reality (AR) is the appropriate technology to display environment and locations information at ITATS in real-time. The implementation of Augmented Reality technology on android based smartphones using Speeded Up Robust Features (SURF) can identify pictures continuously and has proper identification speed. Speeded Up Robust Features (SURF) is an algorithm that has been commonly applied in correspondence matching because it is faster than Scale Invariant Feature Transform (SIFT) and has appropriate and accurate performance maintenance. In designing this application, there are three main stages that should be considered, namely: initialization, tracking marker, and object rendering. Initialization is the stage where images that becomes the database is preliminary processed with Speeded Up Robust Features (SURF) algorithm and  the preparation of the displayed information on the users’ smartphones. The second is tracking marker, smartphone camera takes pictures continuously while processing every inputted image applying Speeded Up Robust Features (SURF) and conducting matching process of images in the database. The final stage, after a match is found, this application displays the text information which corresponds with the matching result. The reliability of this system in recognizing locations at ITATS is 81.66% and average time required is 2.333 seconds.
Klasifikasi Penderita Penyakit Diabetes Berdasarkan Decision Tree Menggunakan Algoritma C4.5 Hapsari, Rinci Kembang; Wahyu, Bagas Aulifia Riski Putra; Farozi, Achmad Fayi; Mahendra, Caesario Putra
INTEGER: Journal of Information Technology Vol 8, No 1 (2023): Maret
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 Adi, Danu Septi Aditya, Andre Fransisco Aji, Rega Wahyu Alamsyah, Mochamad Tegar Bagas Anshar, Moch Yusuf Ardiansyah, Arif Arinal, Fatahillah Arma Adzhana Mahran Audrey, Talitha Naifa Azmuri Wahyu Azinar Chanafi, Moch Irfan Dian Puspita Hapsari Farozi, Achmad Fayi Fikry, Muhamad Agus Fitra, Aldy Ramadhan Gutierres, Ego Prasetyo Ho H, Luky Agus Hadad, Heksa Bustomi Hakim, Permana Faddyahsari Hendro Nugroho Hendro Nugroho Hendro Nugroho, Hendro Irmayanti, Sivana Amelia Islamiyah, Mitha Juan Lande, Gamaliel Virani Fofid Limanjaya, Rafi Oktaviano Eka Luky Agus Hermanto Luky Agus Hermanto, Luky Agus Maftahatul Hakimah Maftahatul Hakimah, Maftahatul Mahatma, Adhitya Arie Mahendra, Caesario Putra Navaro, Kamal Fauzan NUR SULAIMAN Nur Sulaiman Oktavian, Leonardo Fahsi Putri, Chatarina Natassya Rewina, Anggita Eka Salim, Abdullah Harits Santoso, Syahrul Riza Andi Sirri, Latiful Siti Maimunah Siti Maimunah Sugiyanto - Sugiyanto, Sugiyanto Titus Kristanto Tukadi Tukadi, Tukadi Tutuk Indriyani Ubaidillah, M Ravi Vandaningtyas, Andriany Vinda Setia Nita Vinda Setia Nita, Vinda Setia Wahyu, Bagas Aulifia Riski Putra Wardana, Septiyawan Rosetya Wardhana, Septiyawan Rosetya Widodo, Muhammad Amiruddin Wijaya, Abdul Hamid