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All Journal EMITTER International Journal of Engineering Technology INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Seminar Nasional Ilmu Terapan
Mohammad Nur Shodiq, Mohammad Nur
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Cluster Oriented Spatio Temporal Multidimensional Data Visualization of Earthquakes in Indonesia Shodiq, Mohammad Nur; Barakbah, Ali Ridho; Harsono, Tri
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

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.
Cluster Oriented Spatio Temporal Multidimensional Data Visualization of Earthquakes in Indonesia Shodiq, Mohammad Nur; Barakbah, Ali Ridho; Harsono, Tri
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.
APLIKASI PRESENTASI CERDAS MENGGUNAKAN GERAK TANGAN DENGAN MYO ARMBAND Kusuma, Dedy Hidayat; Shodiq, Mohammad Nur
Seminar Nasional Ilmu Terapan Vol 1 No 1 (2017): Seminar Nasional Ilmu Terapan (SNITER) 2017
Publisher : Universitas Widya Kartika Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (422.75 KB)

Abstract

Perkembangan teknologi untuk mendukung sistem pembelajaran saat ini berlangsung sangat cepat sehingga muncul teknologi inovasi yang interaktif untuk dunia pendidikan. Salah satu teknologi yang diimplementasikan adalah aplikasi presentasi interaktif dalam kelas multimedia atau sistem presentasi cerdas. Teknologi ini memungkinkan untuk mengontrol pergerakan dan penekanan tombol mouse dengan cara alami menggunakan gerak tangan (hand gestures). Kemampuan ini dapat menggantikan peran dan fungsi mouse yang konvensional, dan memfasilitasi kinerja guru dalam menerapkan teknologi interaktif di dalam kelas. Dalam penelitian ini, untuk membangun sistem presentasi cerdas dibagi menjadi 2 tahapan yaitu: 1) Pengenalan gerak tangan; 2) Pembuatan aplikasi pengontrol presentasi. Sensor Myo armband yang terpasang pada lengan penyaji digunakan untuk membaca gerak tangan. Sinyal electromyography yang dikirimkan sensor Myo armband melalui koneksi bluetooth ke komputer untuk dikenali sesuai dengan pola yang telah ditetapkan sebelumnya. Hasil pengenalan pola selanjutnya diolah oleh aplikasi pengontrol yang dibangun dan dipergunakan untuk mengendalikan presentasi Microsoft Power Point. Dengan adanya aplikasi ini diharapkan dapat membuat presentasi lebih efisien, menarik dan juga membuat pembelajaran lebih interaktif serta dapat membantu penyaji dalam memaparkan materi presentasinya.
Sistem Presentasi Cerdas Menggunakan Pengenalan Gerakan Tangan Berdasarkan Klasifikasi Dari Sinyal Electromyography (EMG) Menggunakan Myo Armband Kusuma, Dedy Hidayat; Shodiq, Mohammad Nur
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 2 No 1 (2018): Vol. 2 No. 1 Februari 2018
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.981 KB) | DOI: 10.29407/intensif.v2i1.11939

Abstract

Technological developments to support the current learning system are so fast that there is an interactive innovation technology for educational trends. One of the technologies implemented is an interactive presentation application in a multimedia class or smart presentation system. This technology makes it possible to control the presentation in a natural way with their hand movements. This introduction can replace conventional mouse roles and functions to facilitate teacher performance in applying interactive technology in the classroom. To build this intelligent presentation system, it is divided into several parts: 1) Recognition sensor arm movement using Myo armband; 2) Hand gesture of hand movements made several steps include: a) data retrieval based on realtime and wireless; b) feature extraction; c) classification using artificial neural network; and 3) Smart presentation, is a presentation system that can understand human behavior and provide interactive presentations.The expected benefits of the results of this study are, with the construction of intelligent presentation systems using hand-gesturing recognition based on the classification of electromyography signals, 1) Make presentations more efficient, engaging and easier to understand, and also make the discussion more interactive and improve communication; 2) Assists the presenter of material in exposing the material by using a presentation control system based on hand gestures.
Si-Bidan: Sistem Informasi Kesehatan Ibu dan Anak Kusuma, Dedy Hidayat; Shodiq, Mohammad Nur; Yusuf, Dianni; Saadah, Lailatus
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 3 No 1 (2019): Vol. 3 No. 1 Februari 2019
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.328 KB) | DOI: 10.29407/intensif.v3i1.12508

Abstract

Midwives are one of the health workers who provide child and maternal health (CMH) services and family planning. At present, most of the recording of midwife services is still managed conventionally by manual book keeping. It is less effective and efficient which causes the workload to increase, the information retrieval process is quite long and the risk of missing important data is likely to occur frequently. On the other hand, maternal patients are required to visit the midwife directly if they want to know the information on the progress of the pregnancy and their child. Based on these facts, a CMH information system was built that was accessible to midwives and parents. The information system developed consists of two integrated applications, namely web-based applications for midwives and mobile applications for parents. The web application facilitates midwives to record transactions, make reports, and deliver information to patients. While the mobile application makes it easier for parents to monitor the development of maternal and child health and other information provided by midwives. The system was developed using the water-fall software development model. The test results using the black-box test method indicate that the CMH system has been able to meet the user's functional requirements.
Disease Detection of Dragon Fruit Stem Based on The Combined Features of Color and Texture Hakim, Lutfi; Kristanto, Sepyan Purnama; Yusuf, Dianni; Shodiq, Mohammad Nur; Setiawan, Wahyu Ade
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 2 (2021): August 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (843.916 KB) | DOI: 10.29407/intensif.v5i2.15287

Abstract

Dragon fruit is one of the favorite commodities in Banyuwangi Regency's agriculture. In 2019, this commodity had the fourth largest harvest area among other fruit commodities in Banyuwangi until it was exported to China. However, disease attacks often appeared in several dragon fruit plantations in Banyuwangi, and the identification system was still conventional. Many farmers did not know the types of disease and how to handle it, causing the quality and quantity of their crops to decline. Therefore, this study implemented two feature extraction methods. Both methods include color feature extraction using the color moments method and texture feature extraction using gray level co-occurrence matrices (GLCM). The methods used to develop a system that recognized or detected the three types of dragon fruit stem based on digital image processing using Support Vector Machine and k-Nearest Neighbors methods as comparison methods. The results obtained from this study indicated that the combination of the two proposed feature extraction methods could distinguish between stem rot, smallpox, and insect stings with an optimal accuracy score of 87.5% obtained by using Support Vector Machine as a classification method.
Co-Authors Ali Ridho Barakbah Dianni Yusuf Kusuma, Dedy Hidayat Lutfi Hakim Saadah, Lailatus Sepyan Purnama Kristanto Setiawan, Wahyu Ade Tri Harsono