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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
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Decision Support System for Indonesian Government Fast E-Tendering Based on Vendor Classification Edi Wahyu Widodo; Tri Harsono; Ali Ridho Barakbah
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 (2853.724 KB) | DOI: 10.24003/emitter.v4i1.121

Abstract

In the last few years in the world of auctions, electronic auctions become a hot topic for discussion, especially in Indonesia. In Indonesia, the auction has been using online electronic system since 2007 with all its advantages and disadvantages. This system is one of a fairly successful program in a good governance. Until now, there are 620 government agencies in Indonesia have been using this electronic procurement systems[19]. The Government can perform a budget efficiency nearly 5% of the total budget by using today's electronic procurement system. The current system is good enough, but there are still some deficiencies found. Some of solutions to cover the deficiency offered in this paper. Starting from the classification of goods or services according to the UNSPSC, applying business classification with ISIC Indonesia in 2009, recording the activity of vendors for consideration decision, and implementing a decision support system using AHP to facilitate the auction committee to determine the winner. All of above matters are intended to improve the effectiveness and efficiency of the current system.
Improvement of Segmentation Performance for Feature Extraction on Whirlwind Cloud-based Satellite Image using DBSCAN Clustering Algorithm Nailus Sa'ada; Tri Harsono; Ahmad Basuki
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1173.428 KB) | DOI: 10.24003/emitter.v7i1.372

Abstract

Images contain a lot of information that can be used in a variety of areas. One of the images that have much information inside is satellite image. In order to extract the information properly, the image processing step should be performed properly. The segmentation process plays an important role in image processing, especially for feature extraction. Many ways were developed to perform the segmentation image. In this study, we apply DBSCAN clustering to segment images on whirlwind cloud feature extraction problems. DBSCAN is a density-based classifier method which means it is suitable to group a density-based data. While the image used in the segmentation process is the Himawari 8 satellite image which also contains density-based data. It contains various information about clouds condition like cloud type, cloud temperature, cloud humidity, rainfall potential based on cloud temperature, etc. This study uses Himawari 8 satellite images as input where the images taken are images several hours before a wirlwind event in an area, while the cluster method used is the DBSCAN algorithm. Clustering is done to get the extraction features of a wirlwind in the form of centroid points that characterize the movement of a cloud. Segmentation performance was observed based on the number of centroid points as a result of clustering several types of clouds in an area before a wirlwind occurred. Based on segmentation testing using the DBSCAN algorithm for cloud data in an area for several hours before a wirlwind, better segmentation performance was obtained compared to the segmentation results of the Meng hee heng k-means algorithm for the same test data specifications. DBSCAN separates a type of cloud in more detail that makes it easier to record each centroid of each cluster around the scene. It is even able to cluster small groups of clouds independently so that these small groups of clouds can also be detected as features.
Classification and Risk-Mapping of River Water Quality in Surabaya with Semantic Visualitzation Taufan Radias Miko; Tri Harsono; Aliridho Barakbah
EMITTER International Journal of Engineering Technology Vol 7 No 2 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v7i2.393

Abstract

River water pollution is one of the environmental problems that occur in Surabaya. The amount of industrial waste and household waste makes Surabaya River water easily polluted every day, besides that there are also many people who are not aware about the quality of river water in Surabaya. In this paper, we present a new system to classify water quality of river in surabaya. The system involve a semantic visualization of risk-mapping for the river, so that the people of Surabaya are easier to get information about the quality of Surabaya River water. In this paper, we measured the water quality of Surabaya River using Horiba sensor measuring instruments using 5 parameters, namely temperature, PH, DO, Turbidity, TDS. These five parameters are input variables for calculating water quality with the methods applied in this research. We use the Storet Method to determine the quality of Surabaya River water. The results of the Storet Method explained that there were 0.03% of the data on lightly polluted water quality and there were 37.41% of the data being moderately polluted and there were 59.29% of the data heavily polluted. The results of the calculation using the Storet method concluded that the condition of Surabaya River water quality was not good. We also apply the rule of the Storet Method to the Neural Network by using Surabaya River water quality data as learning data and gave performance 70.02% accuracy.
Spatio-Temporal Associative Mining for Earthquake Data Distribution in Indonesia Renovita Edelani; Aliridho Barakbah; Tri Harsono
EMITTER International Journal of Engineering Technology Vol 7 No 2 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v7i2.428

Abstract

Indonesia is a country that has the highest seismically activity in the world. This country has really high earthquake frequency because of it traversed by three plate meeting plate and located in Ring of Fire area. The shaking events from an earthquake are very strong and propagate in all directions, capable of destroying even the strongest civilian buildings, so there is no doubt that there are many victims of human lives. The other facts, earthquake in Indonesia have seismic relation between the provinces. In this paper, we present a new earthquake Spatio-temporal mapping system based on the association confidence value from the result of associative mining process on earthquake data distribution in Indonesia. The system proposed three main functions which are (1) Data Acquisition which taken from four data provider, then preprocess and combine it become one, (2) Associative Mining process to get the rule of association earthquake between provinces in Indonesia, and (3) Earthquake Association Spatio-Temporal Model from the highest confidence value and Visualization. We use data from several earthquake data providers from 1900 until 2018. To perform our proposed Spatio-temporal earthquake association mapping system, we divided the data to become a 5-year discrete partition. After that, we mining the rule and get the highest confidence value from each period. This confidence value is used for modeling and visualization of our Spatio-temporal mapping system. As a result of this study, we manage to generate earthquake association risk mapping from 13 provinces that had earthquake connectivity between each other. The provinces are Aceh, Sumatera Utara, Bengkulu, East Java, Bali, NTB, NTT, Maluku, North Maluku, Gorontalo, North Sulawesi, Papua dan West Papua.
Fire Image Set for Evoking Panic Iqbal sabilirrasyad; Achmad Basuki; Tri Harsono
EMITTER International Journal of Engineering Technology Vol 8 No 2 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i2.504

Abstract

Fire is the closest disaster to us, a person who put cigarettes around flammable objects could burn one to dozens of houses. The last thing that happens was a mass panic. In this kind of situation, panic is one of the keys to determine how much probability someone will survive. However, detecting someone's panic during a fire is impossible. This leads some scientists to assume that mass panic was never happening and some studies use simple functions to determine someone when panic. Currently, thanks to technological advances we can easily build virtual worlds that resemble real events. To build a virtual world that could evoke panic we still need the right stimulus. In this paper, we will discuss with terms of fire disaster stimulus that possible to impel someone to feel panic. While some stimulus datasets that already exist have more broad categories, we wanted to focus on a specific problem. The determined parameters are considered through several elements that could cause a person to panic, either before or during a fire. By using the Self-Assessment Manikin system to obtain valance and arousal matrix, we conduct a test to see how much influence the fire categories stimulus provided.
Optimization of Virtual Reality-Based Flood Simulation by Manipulating Particle System David Fahmi Abdillah; Achmad Basuki; Tri Harsono
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

VR (Virtual reality) is a technology that is gaining in popularity and many fields have used it in the applications they have developed. VR is the best tool to use as a learning medium and simulations that previously could not be done due to a lack of qualified technology, such as natural disaster simulations where users can feel like one of the victims who are affected by natural disasters and can feel it directly through simulations. the. However, this technology can also have side effects when using it, such as discomfort, dizziness to nausea. This is commonly known as cybersickness. To reduce the possibility of cybersickness, it is necessary to optimize the application by keeping the frame rate at least more than 60-90 fps. Particles are one of the systems that can affect the performance frame rate if not optimized by manipulating their emission for each system. This paper will explain how to optimize VR applications and analyze experiments involving FPS optimization in VR applications.
Pemodelan Evakuasi Pejalan Kaki di Ruang Koridor dengan Cellular Automata Studi Kasus Gempa Bumi Muarifin Muarifin; Tri Harsono; Ali Ridho Barakbah
Techno.Com Vol 21, No 2 (2022): Mei 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i2.5747

Abstract

Pemodelan Sistem Evakuasi Pejalan Kaki adalah sebuah sistem pemodelan untuk memodelkan pergerakan objek manusia untuk memberikan analisis pada kejadian evakuasi dalam studi kasus bencana Gempa Bumi. Evakuasi di dalam kondisi bencana adalah topik yang sangat penting untuk dikembangkan di Indonesia. Indonesia adalah salah satu negara yang memiliki tingkat frekuensi terjadinya bencana cukup tinggi hal ini berkaitan dengan posisi Geografis Indonesia. Model pendekatan yang digunakan untuk pergerakan objek manusia adalah Cellular Automata. Cellular Automata adalah salah satu model yang cukup sederhana dan banyak digunakan untuk memodelkan berbagai macam pemecahan permasalahan. Cellular Automata dapat digunakan  untuk memodelkan pergerakan Objek. Hasil dari peletian ini adalah sebuah Aplikasi berbasis bahasa pemrograman JAVA untuk memodelkan pergerakan objek manusia di dalam ruangan berkoridor. Input dari aplikasi adalah parameter diffusion dan decay yang akan memberikan analisa pemodelan pergerakan objek. Dengan menggunakan Cellular Automata sebagai pemodelan pergerakan manusia, maka dalam penelitian ini akan dapat memberikan gambaran pergerakan manusia dalam ruangan jika terjadi bencana Gempa Bumi dan waktu Evakuasi.
Hand Wrist Bone Identification Using Quadrant Ballon Snake Riyanto Sigit; Moch. Rochmad; Tri Harsono; Farah Devi Isnanda
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp335-342

Abstract

In this research, hand wrist bone Identification for human forensic is discussed. Hand wrist bone is one of the effective methods used in the forensic science for age identification. There are four techniques used in this research: cropping image, preprocessing, Quadrant Ballon Snake and identification. The first step is to crop an image on metaphysis and epiphysis bone. The second step is preprocessing using morphology and edge detection. The third step is to apply Quadrant Ballon Snake to segment hand wrist bone. The last step is to use ratio metaphysis and epiphysis to identify a person. The performance segmentation for assessment hand wrist bone showed an average age identification 91%, bone age metaphysis 95% and bone age epiphysis 95%. The experiments resulted in the fact that Quadrant Ballon Snake method is able to find and improve the segmentation of hand wrist bone images accurately. This indicates that this method is effective for segmenting hand wrist bone.
Prediksi Curah Hujan Menggunakan Long Short Term Memory Jamilatul Badriyah; Arna Fariza; Tri Harsono
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4008

Abstract

The importance of predicting rainfall in fields that require rainfall information such as in agriculture, transportation and industry. Prediction of rainfall with statistics is done to solve the problems of this paper, thus this paper proposes prediction of rainfall using Long Short Term Memory in the case study: Surabaya City. The data used is rainfall data at two Surabaya stations, namely the Perak Meteorological Station I and the Tanjung Perak Maritime Meteorology Station from 2015 to 2020. The prediction test was carried out using the Long Short Term Memory algorithm with accuracy measurement results MSE 0.489, MAE 0.537 and R2 0.497. from these results prove that the Long Short Term Memory algorithm is better than previous studies.
Water Quality Control System Based on Web Application for Monitoring Shrimp Cultivation in Sidoarjo, East Java Fariza, Arna; Setiawardhana, Setiawardhana; Dewantara, Bima Sena Bayu; Barakbah, Aliridho; Pramadihanto, Dadet; Winarno, Idris; Badriyah, Tessy; Harsono, Tri; Syarif, Iwan; Sesulihatien, Wahjoe Tjatur; Susanti, Puspasari; Huda, Achmad Thorikul; Rachmawati, Oktavia Citra Resmi; Afifah, Izza Nur; Kurniawan, Rudi; Hamida, Silfiana Nur
GUYUB: Journal of Community Engagement Vol 4, No 3 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v4i3.7245

Abstract

Shrimp farming plays a crucial role to the Indonesian economy, but it is facing challenges from shifting weather patterns and global warming. This research focuses on the development and implementation of a web-based water quality monitoring system for shrimp farming to address these concerns. The research, conducted in collaboration with shrimp farmers in Sidoarjo, East Java, introduces PENS Aquaculture program, which is designed to efficiently monitor pH, salinity, and temperature. The system employs Internet ofThings (IoT) technology, which allows farmers to register several ponds, analyze water parameters, and receive real-time data through tables and graphs. The research takes a mixed-methods approach, integrating quantitative data from IoT devices with qualitative insights gathered through surveys and interviews with shrimp farmers. The study aims to evaluate the influence of IoT technology on shrimp pond quality and its contribution to the production. The findings show that PENS Aquaculture application is helpful in increasing shrimp farming efficiency, providing significant insights for the fisheries and cultural sectors.
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