Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

2.636

P-Index

This Author published in this journals

All Journal Journal of Educational Science and Technology POSITIF INTEGER: Journal of Information Technology Network Engineering Research Operation [NERO] Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Teknologi dan Manajemen GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Prosiding Seminar Nasional Teknologi Industri Berkelanjutan NERO (Networking Engineering Research Operation) JAR'S (Journal of Advanced Research in Informatics)

Hendro Nugroho, Hendro

Unknown Affiliation

Author-ID : 528581

Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

Published : 28 Documents Claim Missing Document

Claim Missing Document

Articles

Title

Deteksi Gerak Pada Citra Objek Video Surveillance Dengan Menggunakan Metode Spektral Residual Rahmawati, Lailia; Nugroho, Hendro
INTEGER: Journal of Information Technology Vol 3, No 1 (2018): Maret
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Video Surveillance adalah salah satu aplikasi yang sering dimanfaatkan pada system keamanan. Penerapan teknik deteksi gerak (Motion Detection) pada video surveillance merupakan salah satu metode yang sering digunakan. Metode pencarian objek gerak pada visual video dengan menggunakan metode Spektral Residual. Langkap-langkah dalam penelitian deteksi gerak adalah input video dengan ukuran 176x144 piksel, proses segmentasi dengan menggunakan metode Threshold Otsu, Proses Saliency Detection yang menggunakan metode Spektrum Residu, Proses Tracking untuk menghasilkan hasil Output Objek deteksi gerak. Data untuk uji coba sejumlah 30 data video dan tingkat keberhasilannya sebesar 90%.Kata Kunci: Deteksi Gerak, Video Surveilance ,Spektral Residual, Thershold OtsuÂ

Image Retrival Pada Obyek Lingga Yoni Di Situs Peninggalan Sejarah Trowulan Mojokerto Nugroho, Hendro; Liantoni, Febri
INTEGER: Journal of Information Technology Vol 1, No 1 (2016): Maret
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

This study contains about Image Retrieval system image on Lingga Yoni at historical sites Trowulan. In the area Trowulan is a legacy of work Majapahit era where the majority of people it is a Hindu, so many relics found in the form of Linga Yoni which serves as the worship of Lord Shiva. Data retrieval image Yoni Linga Linga Yoni as many as 50 images using a digital camera, and the image size Lingga Yoni 200 x 300 pixels in BMP file format. Stages Image Retrieval system on the study include segmentation stages: (1) Smoothing using the method Pas Low Filter to soften the image of the noise; (2) the extraction step texture by using Region Growing by altering the RGB color image is converted into to facilitate the HSL color groups; (3) Region Region Merging Growing did for the incorporation of color image corresponding to the object Linga Yoni; (4) to get to extraction stage form was originally looking for edge detection using Canny edge; (5) the image is converted into binary form to the morphology using opening and closing. At Stages Image Retrieval 50 Linga Yoni image texture extraction step performed using the 4 corners of each feature value GLCM with Different Inverse Moment IDM to revise the results of Image Retrieval using methods Precision and Recall.

IMPLEMENTASI FUZZY DECISION TREE UNTUK PREDIKSI GAGAL GINJAL KRONIS Khamidah, Fitri Sofia Nur; Hapsari, Dian Puspita; Nugroho, Hendro
INTEGER: Journal of Information Technology Vol 3, No 1 (2018): Maret
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

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 doctorâ€™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%.

Deteksi Citra Objek Lingkaran Dengan Menggunkan Metode Ekstraksi Bentuk Circularity Nugroho, Hendro
INTEGER: Journal of Information Technology Vol 2, No 1 (2017): Maret
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Implementasi Model Incremental Pada Pengembangan Aplikasi Pengenalan Rempah-Rempah Berbasis Game Rachman, Andy; Efendi, Yanuar; Nugroho, Hendro; Sulistyowati, Sulistyowati; Alala, Pratama Sandi; Rozi, Nanang Fakhrur
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.v8i1.3762

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%.

Implementasi Algortima K-Means Data Penjualan UMKM Hijab Leshamysha Ferdinandus, Raka Panangkaran; Nugroho, Hendro; Firmansyah, Muhammad Rafel Daffa Eka; Yuliastuti, Gusti Eka
INTEGER: Journal of Information Technology Vol 10, No 2 (2025): September
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.0.v10i2.8282

Algoritma K-Means digunakan untuk pengelompokan data berdasarkan kemiripan. Metode K-Means digunakan untuk penelitian ini untuk mengidentifikasi produk penjualan di UMKM Hijab Leshamysha. Dataset yang digunakan berasal dari data penjualan selama tahun 2023, yang mencakup 38 item produk. Dalam implementasinya, dilakukan dua pendekatan: K-Means standar dan K-Means dengan centroid menggunakan nilai rata-rata (mean) dan varian. Proses clustering diuji dan dievaluasi menggunakan dua metrik, yaitu Sum of Squared Error (SSE) dan Davies-Bouldin Index (DBI). Hasil evaluasi menunjukkan bahwa metode K-Means dengan centroid awal memberikan hasil clustering nilai SSE 0,9215 dan DBI 1,6697 yang menunjukkan tingkat kedekatan data cukup baik. K-Means dengan pendekatan Centroid menghasilkan nilai SSE 41,3127 dan DBI 2,3607 yang menujukkan tingkat keseragaman cukup tinggi

Penerapan Euclidean Distance untuk Deteksi Kemiripan Citra Berbasis Scale Invariant Feature Transform (SIFT) Muhima, Rani Rotul; Nugroho, Hendro
INTEGER: Journal of Information Technology Vol 7, No 1 (2022): 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.2022.v7i1.2923

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.

Co-Authors A.D., Chrisna Afriandhi, Mochamad Ilham Albana, Isa Andy Rachman Audrey, Talitha Naifa Augusta, Taufan Aulia Siti Aisjah Azmuri Wahyu Azinar Bayu Rizky Pratama, Bayu Rizky Dian Puspita Hapsari Efendi, Yanuar Evi Yuliawati Febri Liantoni, Febri Ferdinandus, Raka Panangkaran Firmansyah, Muhammad Rafel Daffa Eka Gusti Eka Yuliastuti Khamidah, Fitri Sofia Nur Lestari, Linda A. Maftahatul Hakimah, Maftahatul Muchamad Kurniawan, Muchamad Muhammad Afif Muhima, Rani Rotul Naili Saidatin Nanang Fakhrur Rozi Pradana, Andrean Firman Pratama Sandi Alala Purba, Rini Kumala Sari Purwanto, Mochamad Yuliadi Putra, Moch Andria Reza Effendi Rahmawati, Lailia Rinci Kembang Hapsari S.Pd. M Kes I Ketut Sudiana . Sulistyowati Sulistyowati Suparjo Susilowati, Arda Gusema Syamsul Arifin Tukadi Tukadi, Tukadi Tutuk Indriyani Wahyudi, Ahmad Lutfi Wardhana, Septiyawan Rosetya Wicaksono, Redi Nurdin

Title Search

Found 7 Documents Search Journal : INTEGER: Journal of Information Technology

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 7 Documents
Search
Journal : INTEGER: Journal of Information Technology