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All Journal Jurnal Informatika Upgris INTEGER: Journal of Information Technology Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Prosiding Seminar Nasional Sains dan Teknologi Terapan International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal Teknologi dan Manajemen KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) KOPEMAS
Hendro Nugroho
Institut Teknologi Adhi Tama Surabaya
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Social Sciences Other

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Journal : INTEGER: Journal of Information Technology

 1 
Penerapan Euclidean Distance untuk Deteksi Kemiripan Citra Berbasis Scale Invariant Feature Transform (SIFT) Rani Rotul Muhima; Hendro Nugroho
INTEGER: Journal of Information Technology Vol 7, No 1: Maret 2022
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2022.v7i1.2923

Abstract

The similarity of a pair of images can be measured using the distance measurement method from the feature extraction. The feature extraction method used in this research was the Scale Invariant Feature Transform (SIFT). This method is an extraction method that is invariant to changes in scale, rotation, translation and illumination. In this research, each keypoint of test image is matched for its level of similarity with the Euclidean distance method. The similarity of each keypoint of the tested image is matched by Euclidean distance and it will be claimed similar if it has the smallest distance. Next, the corresponding keypoint of the tested image gets recall test by varying parameters of transformation in size, rotation, color, and angle as well as different image. The research results demonstrated that the recall averages of dataset were 100 for similar image test, 95 for size and rotation changes tests, 98 for colour changes test, 97 for angle changes test, and 0 for image test with different objects. Based on the results, SIFT is suitable for detecting the similarity of image object shapes. 
IMPLEMENTASI FUZZY DECISION TREE UNTUK PREDIKSI GAGAL GINJAL KRONIS Fitri Sofia Nur Khamidah; Dian Puspita Hapsari; Hendro Nugroho
INTEGER: Journal of Information Technology Vol 3, No 1 (2018)
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2018.v3i1.155

Abstract

Fuzzy Decision Tree Implementation for Predicting Chronic Renal Failure. Kidney is one of the important organs for the body. The main function of kidney is for filtering process. The gradual decreasing of kidney function will lead to kidney disease and if it is left unchecked, it will lead to chronic renal failure. Chronic renal failure is a type of disease that can cause death. Until now there is no antidote for the disease of chronic renal failure, therefore this disease cannot be cured but its development can be slowed or stopped. The early diagnosis of this disease will help to prevent the fatal consequences. To diagnose the disease requires some laboratory tests in which the results of the test will be calculated and summed up by a doctor or medical practitioner. The development of science and technology, especially in the field of computers will help the doctor’s works in analyzing the results of laboratory test easier and faster. By some data as training data and implementing Fuzzy Decision Tree classification algorithm, it is expected to obtain high accuracy results that can be used as a reference for predicting chronic renal failure and avoid the occurrence of fatal consequences. The test was conducted by using some predetermined threshold and obtained the most optimal accuracy 98.28% with which indicated a fairly high level of accuracy. Thus the Fuzzy Decision Tree algorithm can be said to be able to predict the disease of chronic renal failure by the accuracy 98.28%.
Implementasi Model Incremental Pada Pengembangan Aplikasi Pengenalan Rempah-Rempah Berbasis Game Andy Rachman; Yanuar Efendi; Hendro Nugroho; Sulistyowati Sulistyowati; Pratama Sandi Alala; Nanang Fakhrur Rozi
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.v8i1.3762

Abstract

Currently, technology is the most important part of human life, especially for the people of Indonesia. Its existence is very helpful in resolving any existing shortcomings. The fields of energy that utilize Information and Communication Technology include business and services, government, tourism, and education. The use of technology in education can be seen in the current state of education in Indonesia, starting from the use of the internet, the development of online learning applications, the availability of digital books, and the development of game-based educational media. Researchers develop game-based learning applications in introducing spices in Indonesia. The focus of the users in this study were elementary school students in Grade 6. The researcher applied an incremental model in developing an educational game application for the introduction of spices. The Students at Gempolkerep State Elementary School, Ngudikidul Village, Gedek District, Mojokerto, East Java, have implemented an Educational game application. The application has also been assessed by 44 respondents consisting of 34 elementary school students and ten application development expert teams. Respondents must answer twelve questions to evaluate the usefulness of educational game applications. Assessment of application usability uses a Likert Scale based on the Usability Factor of ISO 9126-3. The effectiveness of the application developed by the researcher for Gempolkerep State Elementary School students is 83% and gets an assessment from the expert team of 77%.
Co-Authors Agil Aris Prabandaru Agus Widodo Alphinda Rahma Safira Nisa' Andy Rachman Angga Kusuma Wijaya Chrisna A Dewi Chrisna A.D. Dian Puspita Hapsari Febri Liantoni Fitra Dwi Prasetya Fitri Sofia Nur Khamidah Gusti Eka Yuliastuti Isa Albanna Kusdarini, Esthi Linda A Lestari Linda A. Lestari Maftahatul Hakimah Muchamad Kurniawan Muchammad Kurniawan Muhima, Rani Rotul Naili Saidatin Nanang Fakhrur Rozi Nanang Suryadi Nurul Lailatul Mahmudah Pratama Sandi Alala Rinci Kembang Hapsari Sulistyowati Sulistyowati Suparjo Suparjo Taufan Augusta Tukadi Tukadi, Tukadi Tutuk Indriyani Wahyu Widodo Yanuar Efendi