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All Journal Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics PROSIDING CSGTEIS 2013 JURNAL PENELITIAN SAINTIKA EMITTER International Journal of Engineering Technology JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA Martabe : Jurnal Pengabdian Kepada Masyarakat INTEK: Jurnal Penelitian Jurnal Mantik Jurnal Informatika dan Rekayasa Elektronik Jurnal Pembelajaran dan Biologi Nukleus Best Journal (Biology Education, Sains and Technology) JURNAL PIONIR Indonesian Journal of Electrical Engineering and Computer Science GUYUB: Journal of Community Engagement
Tri Harsono
Politeknik Elektronika Negri Surabaya
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PERMODELAN VISUAL TINGKAT KETAKUTAN PADA SIMULASI EVAKUASI KEBAKARAN 3D MENGGUNAKAN SELF ASSASSEMENT MANIKIN Iqbal Sabilirrasyad; Achmad Basuki; Tri Harsono
Jurnal Informatika dan Rekayasa Elektronik Vol. 3 No. 1 (2020): JIRE April 2020
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v3i1.217

Abstract

Simulasi kebakaran digunakan untuk memberikan edukasi tentang apa yang harus dilakukan saat berhadapan dengan api atau digunakan untuk meningkatkan kesadaran dalam bencana kebakaran. Dengan majunya teknologi kita tidak lagi harus mempersiapkan segala keperluan yang berbahaya dalam membangun simulasi kebakaran yang ada. Melainkan dengan teknologi VR atau 3D kita mampu memberikan visual serta suasana seakan berada dalam kebakaran yang sedang terjadi. Namun untuk membangun VR serta 3D yang mampu memberikan ilusi yang sangat kuat diperlukan rangsangan yang kuat pula. Api merupakan salah satu media yang mampu memberikan rangsangan tersebut. Namun masalah yang dihadapi ialah api yang sperti apa yang mampu memberikan rangsangan emosi yang kuat. Dalam penelitian ini kita akan mencari tahu model visual api seperti apa yang mampu memberikan rangsangan emosi yang kuat. Dengan membangun simulasi kebakaran yang berdasar pada hasil dari kuisioner self assessment manikin yang berfokus pada tema kebakaran, player akan menilai kembali dengan menggunakan sistem yang sama. self assessment manikin merupakan sistem penilaian emosi dari gambar yang ditampilkan. Simulasi yang dibangun mampu membangun rasa takut user, pada kriteria kurang menakutkan. Dapat dikatakan simulasi serta dataset gambar yang bertemakan api memiliki potensi sebagai salah satu cara meningkatkan rangsangan emosi manusia.Namun potensi yang dimiliki dataset maupun simulasi yang dibangun masih membutuhkan beberapa parameter tambahan yang mampu menyesuaikan perbedaan pengalaman pada saat berhadapan dengan api.
Desain Antar Muka Platform Reselient Untuk Manajemen Bencana Idris Winarno; Wiratmoko Yuwono; Tri Harsono
PROSIDING CSGTEIS 2013 CSGTEIS 2013
Publisher : PROSIDING CSGTEIS 2013

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Abstract

Abstrak - Salah satu sistem informasi kebencanaanyang ada saat ini adalah Sahana.Sahana memilikiketerbatasan dalam integrasi dengan aplikasi pendukungkebencanaan yang dikembangkan olehpihaklain. Hal initerjadi karena tidak adanya platform standar yangmemiliki protokol yang terbuka untuk dapatdimanfaatkan oleh pengembang aplikasi atau sistem.Olehkarena itu dibutuhkan sebuah sistem informasikebencanaan yang bersifat universal dimana memilikiprotokol yang dapat dimanfaatkan oleh pengembang agaraplikasi yang dibuat dapat diintegrasikan secara langsungterhadap sistem informasi kebencanaan dengan diawalidengan pembuatan desain antar muka dari sisteminformasi tersebut.Penelitian ini membuat desain antarmuka yang bersifat universal dimana fitur-fiturnya lebihlengkap dari Sahana. Secara garis besar desain antarmuka antara Sahana dan Sistem informasi kebencanaanhampir sama tetapi pada sistem informasi kebencanaanterdapat tambahan beberapa fitur yaitu ManejemenTrackingdengan penggunaan UI Boostrap didalampembangunannya.Kata Kunci : Sistem Informasi, Bencana Alam, platform,antar muka
Demam Berdarah dalam Perspektif Urban : Analisa Statistik untuk Awareness Strategy Wahjoe Tjatur S.; Ira Prasetyaningrum; Tri Harsono; Shiori Sasaki; Yasushi Kiyoki
PROSIDING CSGTEIS 2013 CSGTEIS 2013
Publisher : PROSIDING CSGTEIS 2013

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Abstract

Abstrak—Demam berdarah saat ini menjadi penyakit yangbanyak mengancam banyak kota besar didunia saat ini.Mengingat kompleksitas pada penyebaran penyakit ini, perluadanya strategi yang komprehensip dan bersifat preventif.Untuk mendapatkan strategi yang tepat perlu adanya analisastatistic komprehensip antara semua factor yang mempengaruhidemam berdarah yaitu perubahan iklim, peningkatan humanmovement dan kultur budaya dalam kebersihan. Penelitian iniberfokus pada general case analisa statistik yang diharapkandapat menjadi dasar bagi strategi awareness demam berdarah.Kata kunci: demam berdarah, analisa statistic, strategiawareness
Reinforced Intrusion Detection Using Pursuit Reinforcement Competitive Learning Indah Yulia Prafitaning Tiyas; Ali Ridho Barakbah; Tri Harsono; Amang Sudarsono
EMITTER International Journal of Engineering Technology Vol 2 No 1 (2014)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (10388.993 KB) | DOI: 10.24003/emitter.v2i1.16

Abstract

Today, information technology is growing rapidly,all information can be obtainedmuch easier. It raises some new problems; one of them is unauthorized access to the system. We need a reliable network security system that is resistant to a variety of attacks against the system. Therefore, Intrusion Detection System (IDS) required to overcome the problems of intrusions. Many researches have been done on intrusion detection using classification methods. Classification methodshave high precision, but it takes efforts to determine an appropriate classification model to the classification problem. In this paper, we propose a new reinforced approach to detect intrusion with On-line Clustering using Reinforcement Learning. Reinforcement Learning is a new paradigm in machine learning which involves interaction with the environment.It works with reward and punishment mechanism to achieve solution. We apply the Reinforcement Learning to the intrusion detection problem with considering competitive learning using Pursuit Reinforcement Competitive Learning (PRCL). Based on the experimental result, PRCL can detect intrusions in real time with high accuracy (99.816% for DoS, 95.015% for Probe, 94.731% for R2L and 99.373% for U2R) and high speed (44 ms).The proposed approach can help network administrators to detect intrusion, so the computer network security systembecome reliable.Keywords: Intrusion Detection System, On-Line Clustering, Reinforcement Learning, Unsupervised Learning.
Evacuation System in a Building Using Cellular Automata for Pedestrian Dynamics Muarifin .; Tri Harsono; Aliridho Barakbah
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.31

Abstract

The sense of safety in public facilities for pedestrians can be shown by the availability of good infrastructure, particularly the building. One of the aspects that can make pedestrians feel comfortable and safe is the availability of evacuation facilities in emergency situation. When a disaster strikes, people would start to panic and this will cause problems, especially during an evacuation.During panic in an evacuation process, pedestrians tend to act blindly and walk randomly and mindlessly. They might follow one another when they get panic. This is called as herding behavior. Regarding the evacuation systems, cellular automata is the basic method used to represent human motion. The movement of pedestrian is an important aspect during an evacuation process and this can be analyzed and implemented by using Cellular Automata. It is a simple method yet it can solve complex problems.Total evacuation time becomes the indicators in measuring the efficiency of this system. The result of comparison method shows that the proposed method could work better in certain conditions. In addition, the results of the experiments during panic and normal situation show similar characteristics especially regarding density aspect, yet evacuation time during panic situation takes longer time. The experiment’s results by using the actual data also has similar tendency with the evacuation time.Keywords: evacuation time, cellular automata, panic behavior, pedestrian
Cluster Oriented Spatio Temporal Multidimensional Data Visualization of Earthquakes in Indonesia Mohammad Nur Shodiq; Ali Ridho Barakbah; Tri Harsono
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.34

Abstract

Spatio temporal data clustering is challenge task. The result of clustering data are utilized to investigate the seismic parameters. Seismic parameters are used to describe the characteristics of earthquake behavior. One of the effective technique to study multidimensional spatio temporal data is visualization. But, visualization of multidimensional data is complicated problem. Because, this analysis consists of observed data cluster and seismic parameters. In this paper, we propose a visualization system, called as IES (Indonesia Earthquake System), for cluster analysis, spatio temporal analysis, and visualize the multidimensional data of seismic parameters. We analyze the cluster analysis by using automatic clustering, that consists of get optimal number of cluster and Hierarchical K-means clustering. We explore the visual cluster and multidimensional data in low dimensional space visualization. We made experiment with observed data, that consists of seismic data around Indonesian archipelago during 2004 to 2014.Keywords: Clustering, visualization, multidimensional data, seismic parameters.
Differential Spatio-temporal Multiband Satellite Image Clustering using K-means Optimization With Reinforcement Programming Irene Erlyn Wina Rachmawan; Ali Ridho Barakbah; Tri Harsono
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (946.111 KB) | DOI: 10.24003/emitter.v3i1.38

Abstract

Deforestration is one of the crucial issues in Indonesia because now Indonesia has world's highest deforestation rate. In other hand, multispectral image delivers a great source of data for studying spatial and temporal changeability of the environmental such as deforestration area. This research present differential image processing methods for detecting nature change of deforestration. Our differential image processing algorithms extract and indicating area automatically. The feature of our proposed idea produce extracted information from multiband satellite image and calculate the area of deforestration by years with calculating data using temporal dataset. Yet, multiband satellite image consists of big data size that were difficult to be handled for segmentation. Commonly, K- Means clustering is considered to be a powerfull clustering algorithm because of its ability to clustering big data. However K-Means has sensitivity of its first generated centroids, which could lead into a bad performance. In this paper we propose a new approach to optimize K-Means clustering using Reinforcement Programming in order to clustering multispectral image. We build a new mechanism for generating initial centroids by implementing exploration and exploitation knowledge from Reinforcement Programming. This optimization will lead a better result for K-means data cluster. We select multispectral image from Landsat 7 in past ten years in Medawai, Borneo, Indonesia, and apply two segmentation areas consist of deforestration land and forest field. We made series of experiments and compared the experimental results of K-means using Reinforcement Programming as optimizing initiate centroid and normal K-means without optimization process.Keywords: Deforestration, Multispectral images, landsat, automatic clustering, K-means.
A Prediction System of Dengue Fever Using Monte Carlo Method Mochammad Choirur Roziqin; Achmad Basuki; Tri Harsono
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (246.598 KB) | DOI: 10.24003/emitter.v4i1.111

Abstract

Dengue fever is an acute disease that clinically can cause death because there is no prediction system to estimate dengue fever cases so it resulted in the growing of dengue fever cases every year. Original data gathering in Jember area that uses technique of partial data gathering has caused data missing. To make this secondary data can be processed in prediction stage there is need to conduct missing imputation by using Monte Carlo method with four different randomization method, followed by data normality test with chi-square, then continued to regression stage. We use MSE (Mean Square Error) to measure prediction error. The smallest MSE result of regression is the best regression model for prediction.
Secure Communication and Information Exchange using Authenticated Ciphertext Policy Attribute-Based Encryption in Mobile Ad-hoc Network Samsul Huda; Amang Sudarsono; Tri Harsono
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2906.57 KB) | DOI: 10.24003/emitter.v4i1.116

Abstract

MANETs are considered as suitable for commercial applications such as law enforcement, conference meeting, and sharing information in a student classroom and critical services such as military operations, disaster relief, and rescue operations. Meanwhile, in military operation especially in the battlefield in freely medium which naturally needs high mobility and flexibility. Thus, applying MANETs make these networks vulnerable to various types of attacks such aspacket eavesdropping, data disseminating, message replay, message modification, and especially privacy issue. In this paper, we propose a secure communication and information exchange in MANET with considering secure adhoc routing and secure information exchange. Regarding privacy issue or anonymity, we use a reliable asymmetric encryption which protecting user privacy by utilizing insensitive user attributes as user identity, CP-ABE (Ciphertext-Policy Attribute-Based Encryption) cryptographic scheme. We also design protocols to implement the proposed scheme for various battlefied scenarios in real evironment using embedded devices. Our experimental results showed that the additional of HMAC (Keyed-Hash Message Authentication Code) and AES (Advanced Encryption standard) schemes using processor 1.2GHz only take processing time about 4.452 ms,  we can confirm that our approach by using CP-ABE with added HMAC and AES schemes make low overhead.
Spatio-Temporal Deforestation Measurement Using Automatic Clustering Irene Erlyn Wina Rachmawan; Ali Ridho Barakbah; Tri Harsono
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.557 KB) | DOI: 10.24003/emitter.v4i1.120

Abstract

Deforestation is one of the crucial issues in Indonesia. In 2012, deforestation rate in Indonesia reached 0.84 million hectares, exceeding Brazil. According to the 2009 Guinness World Records, Indonesia's deforestation rate was 1.8 million hectares per year between 2000 and 2005. An interesting view is the fact that Indonesia government denied the deforestation rate in those years and said that the rate was only 1.08 million hectares per year in 2000 and 2005. The different problem is on the technique how to deal with the deforestation rate. In this paper, we proposed a new approach for automatically identifying the deforestation area and measuring the deforestation rate. This approach involves differential image processing for detecting Spatio-temporal nature changes of deforestation. It consists series of important features extracted from multiband satellite images which are considered as the dataset of the research. These data are proceeded through the following stages: (1) Automatic clustering for multiband satellite images, (2) Reinforcement Programming to optimize K-Means clustering, (3) Automatic interpretation for deforestation areas, and (4) Deforestation measurement adjusting with elevation of the satellite. For experimental study, we applied our proposed approach to analyze and measure the deforestation in Mendawai, South Borneo. We utilized Landsat 7 to obtain the multiband images for that area from the year 2001 to 2013. Our proposed approach is able to identify the deforestation area and measure the rate. The experiment with our proposed approach made a temporal measurement for the area and showed the increasing deforestation size of the area 1.80 hectares during those years.
Co-Authors Achmad Basuki Achmad Basuki Achmad Basuki Adha Putra, Chairunas Afifah, Izza Nur Ahmad Basuki Ahmad Basuki Ali Ridho Barakbah Alimudin, Akhmad Amang Sudarsono, Amang Arna Fariza Arwita, Widya Bima Sena Bayu Dewantara Calvin Alfa Roji Dadet Pramadihanto David Fahmi Abdillah Dia Bitari Mei Yuana Edi Wahyu Widodo Farah Devi Isnanda Hamida, Silfiana Nur Hasairirr, Ashar Huda, Achmad Thorikul Idris Winarno Indah Yulia Prafitaning Tiyas Indah Yulia Prafitaning Tiyas, Indah Yulia Prafitaning Iqbal Sabilirrasyad Ira Prasetyaningrum Irene Erlyn Wina Rachmawan Irene Erlyn Wina Rachmawan Irene Erlyn Wina Rachmawan, Irene Erlyn Wina Irwansyah Irwansyah iwan Syarif Jamilatul Badriyah Kharismadhany, Ekky Kusuma, Dedy Hidayat Louis Nashih Uluwan Arif M Tafaquh Fiddin Al Islami Maretha Ruswiansari, Maretha Maysarah, Maysarah Mirza Ghulam Rifqi Mirza Ghulam Rifqi Moch. Rochmad Mochammad Choirur Roziqin Mohammad Nur Shodiq Mohammad Nur Shodiq Mohammad Nur Shodiq Mohammad Nur Shodiq, Mohammad Nur Mu'arifin, Mu'arifin Muarifin . Muarifin ., Muarifin Muarifin Muarifin Nailus Sa'ada nasution, Muhammad Yusuf Ningtiyas, Sri Kandi Atma Rachmawati, Oktavia Citra Resmi Renovita Edelani Renovita Edelani Ritonga, Yusran Efendi Riyanto Sigit Rizal Mukra Rohmah, Etik Ainun Roziqin, Mochammad Choirur Rudi Kurniawan Samsul Huda Samsul Huda Sesulihatien, Wahjoe Tjatur Setiawardhana, Setiawardhana Shafwan S. Pulungan, Ahmad Shiori Sasaki Son Kuswadi Suci Rahmawati, Suci Susanti, Puspasari Taufan Radias Miko Tessy Badriyah, Tessy Wahjoe Tjatur S. Wahjoe Tjatur Sesulihatien Widodo, Edi Wahyu Wina Rachmawan, Irene Erlyn Wiratmoko Yuwono Yasushi Kiyoki