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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknoin JURNAL SISTEM INFORMASI BISNIS Jurnal Buana Informatika Bulletin of Electrical Engineering and Informatics Journal of Education and Learning (EduLearn) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Algoritma Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Journal of Information Systems Engineering and Business Intelligence Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Journal of Applied Geospatial Information JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling Indonesian Journal of Computing and Modeling JURIKOM (Jurnal Riset Komputer) Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Abdi Insani Abdimasku : Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences JOINTER : Journal of Informatics Engineering IJECS: Indonesian Journal of Empowerment and Community Services International Journal of Engineering, Science and Information Technology International Journal of Community Service Jurnal Impresi Indonesia Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Algoritma Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Jurnal Rekayasa elektrika Jurnal INFOTEL Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Kristoko Dwi Hartomo
Universitas Kristen Satya Wacana
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Computer model for tsunami vulnerability using sentinel 2A and SRTM images optimized by machine learning Sri Yulianto Joko Prasetyo; Bistok Hasiholan Simanjuntak; Kristoko Dwi Hartomo; Wiwin Sulistyo
Bulletin of Electrical Engineering and Informatics Vol 10, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i5.3100

Abstract

This study aims to develop a software framework for modeling of tsunami vulnerability using DEM and Sentinel 2 images. The stages of study, are: 1) extraction Sentinel 2 images using algorithms NDVI, NDBI, NDWI, MSAVI, and MNDWI; 2) prediction vegetation indices using machine learning algorithms. 3) accuracy testing using the MSE, ME, RMSE, MAE, MPE, and MAPE; 4) spatial prediction using Kriging function and 5) modeling tsunami vulnerability indicators. The results show that in 2021 the area was dominated by vegetation density between (-0.1-0.3) with moderate to high vulnerability and risk of land use tsunami as a result of the decreasing of vegetation. The prediction results for 2021 show a low canopy density of vegetation and a high degree of land surface slope. Based on the prediction results in 2021, the study area mostly shows the existence of built-up lands with a high tsunami vulnerability risk (more than 0.1). Vegetation population had decreased to 67% from the original areas in 2017 with an area of 135 km2. Forest vegetation had decreased by 45% from 116 km2 in 2017. Land use for fisheries had increased to the area of 86 km2 from 2017 with an area of 24 km2.
Computer model for tsunami vulnerability using sentinel 2A and SRTM images optimized by machine learning Sri Yulianto Joko Prasetyo; Bistok Hasiholan Simanjuntak; Kristoko Dwi Hartomo; Wiwin Sulistyo
Bulletin of Electrical Engineering and Informatics Vol 10, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i5.3100

Abstract

This study aims to develop a software framework for modeling of tsunami vulnerability using DEM and Sentinel 2 images. The stages of study, are: 1) extraction Sentinel 2 images using algorithms NDVI, NDBI, NDWI, MSAVI, and MNDWI; 2) prediction vegetation indices using machine learning algorithms. 3) accuracy testing using the MSE, ME, RMSE, MAE, MPE, and MAPE; 4) spatial prediction using Kriging function and 5) modeling tsunami vulnerability indicators. The results show that in 2021 the area was dominated by vegetation density between (-0.1-0.3) with moderate to high vulnerability and risk of land use tsunami as a result of the decreasing of vegetation. The prediction results for 2021 show a low canopy density of vegetation and a high degree of land surface slope. Based on the prediction results in 2021, the study area mostly shows the existence of built-up lands with a high tsunami vulnerability risk (more than 0.1). Vegetation population had decreased to 67% from the original areas in 2017 with an area of 135 km2. Forest vegetation had decreased by 45% from 116 km2 in 2017. Land use for fisheries had increased to the area of 86 km2 from 2017 with an area of 24 km2.
Computer model for tsunami vulnerability using sentinel 2A and SRTM images optimized by machine learning Sri Yulianto Joko Prasetyo; Bistok Hasiholan Simanjuntak; Kristoko Dwi Hartomo; Wiwin Sulistyo
Bulletin of Electrical Engineering and Informatics Vol 10, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i5.3100

Abstract

This study aims to develop a software framework for modeling of tsunami vulnerability using DEM and Sentinel 2 images. The stages of study, are: 1) extraction Sentinel 2 images using algorithms NDVI, NDBI, NDWI, MSAVI, and MNDWI; 2) prediction vegetation indices using machine learning algorithms. 3) accuracy testing using the MSE, ME, RMSE, MAE, MPE, and MAPE; 4) spatial prediction using Kriging function and 5) modeling tsunami vulnerability indicators. The results show that in 2021 the area was dominated by vegetation density between (-0.1-0.3) with moderate to high vulnerability and risk of land use tsunami as a result of the decreasing of vegetation. The prediction results for 2021 show a low canopy density of vegetation and a high degree of land surface slope. Based on the prediction results in 2021, the study area mostly shows the existence of built-up lands with a high tsunami vulnerability risk (more than 0.1). Vegetation population had decreased to 67% from the original areas in 2017 with an area of 135 km2. Forest vegetation had decreased by 45% from 116 km2 in 2017. Land use for fisheries had increased to the area of 86 km2 from 2017 with an area of 24 km2.
IMPLEMENTASI METODE INTERPOLASI LINEAR UNTUK PEMBESARAN RESOLUSI CITRA Kristoko Dwi Hartomo
Teknoin Vol. 11 No. 3 (2006)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/.v11i3.89

Abstract

Processing an image is a process and image analysis which entangling many visual perceptions and in course have some characteristics of input data and output information in binding digital image. Process of changing measure for an image through magnification of resolution or measure often needed to showing the detail, for demonstration at a physic appliance, and for making of document. At the process on enlarging image resolution, method that would be used in this paper is linear interpolation. Linear Interpolation Method is mathematics algorithm which could be applied to appraise the middle price point through a diametrical line, two successive input point. The system in this paper could process image with algorithm of linear interpolation and become a new photo image with image resolution of pixel larger than the original image.Keywords: image, resolution, linear, interpolation, pixel
Implementasi Metode Linear Addition untuk Perancangan Efek Mask Lightning Kristoko Dwi Hartomo
Teknoin Vol. 10 No. 2 (2005)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/.v10i2.687

Abstract

Digital picture development is picture processing using digital computer in order to get different  picture or another picture which suits with the needs.  One example of picture development is mask lighting effect with linear addition method.  The main principle of linear addition method is by adding intensity to every pixel colour by adding every pixel with a variable.  This paper focuses on the implementation of linear addition method to give lighting effect on picture. Keywords : mask lighting, linear addition, pixel.
Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I Matheus Supriyanto Rumetna; Eko Sediyono; Kristoko Dwi Hartomo
Jurnal Buana Informatika Vol. 8 No. 4 (2017): Jurnal Buana Informatika Volume 8 Nomor 4 Oktober 2017
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v8i4.1446

Abstract

Abstract. Bantul Regency is a part of Yogyakarta Special Province Province which experienced land use changes. This research aims to assess the changes of shape and level of land use, to analyze the pattern of land use changes, and to find the appropriateness of RTRW land use in Bantul District in 2011-2015. Analytical methods are employed including Geoprocessing techniques and analysis of patterns of distribution of land use changes with Spatial Autocorrelation (Global Moran's I). The results of this study of land use in 2011, there are thirty one classifications, while in 2015 there are thirty four classifications. The pattern of distribution of land use change shows that land use change in 2011-2015 has a Complete Spatial Randomness pattern. Land use suitability with the direction of area function at RTRW is 24030,406 Ha (46,995406%) and incompatibility of 27103,115 Ha or equal to 53,004593% of the total area of Bantul Regency.Keywords: Geographical Information System, Land Use, Geoprocessing, Global Moran's I, Bantul Regency. Abstrak. Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I. Kabupaten Bantul merupakan bagian dari Provinsi Daerah Istimewa Yogyakarta yang mengalami perubahan tata guna lahan. Penelitian ini bertujuan untuk mengkaji perubahan bentuk dan luas penggunaan lahan, menganalisis pola sebaran perubahan tata guna lahan, serta kesesuaian tata guna lahan terhadap RTRW yang terjadi di Kabupaten Bantul pada tahun 2011-2015. Metode analisis yang digunakan antara lain teknik Geoprocessing serta analisis pola sebaran perubahan tata guna lahan dengan Spatial Autocorrelation (Global Moran’s I). Hasil dari penelitian ini adalah penggunaan tanah pada tahun 2011, terdapat tiga puluh satu klasifikasi, sedangkan pada tahun 2015 terdapat tiga puluh empat klasifikasi. Pola sebaran perubahan tata guna lahan menunjukkan bahwa perubahan tata guna lahan tahun 2011-2015 memiliki pola Complete Spatial Randomness. Kesesuaian tata guna lahan dengan arahan fungsi kawasan pada RTRW adalah seluas 24030,406 Ha atau mencapai 46,995406 % dan ketidaksesuaian seluas 27103,115 Ha atau sebesar 53,004593 % dari total luas wilayah Kabupaten Bantul. Kata Kunci: Sistem Informasi Georafis, tata guna lahan, Geoprocessing, Global Moran’s I, Kabupaten Bantul.
Rancang Bangun Aplikasi Penjualan Online Berbasis Web Menggunakan Metode Scrum Aryanata Andipradana; Kristoko Dwi Hartomo
Jurnal Algoritma Vol 18 No 1 (2021): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.18-1.869

Abstract

UPTD SPNF SKB Salatiga mempunyai salah satu program pelatihan kerja dimana program kerja tersebut menghasilkan banyak UMKM di kota Salatiga. Namun dengan situasi pandemi COVID-19 saat ini penjualan dari UMKM yang dihasilkan oleh pelatihan kerja tersebut menurun. Pembangunan aplikasi penjualan online berbasis web merupakan salah satu upaya untuk memberikan wadah dan memasarkan produk UMKM secara digital. Proses penjualan hingga transaksi juga dikerjakan melalui sistem yang akan dibangun. Metode yang akan digunakan dalam membangun aplikasi tersebut adalah Agile software development dengan Scrum model. Metode ini bersifat fleksibel terhadap perubahan kebutuhan sistem yang ada, serta anggota tim yang dibutuhkan oleh pengembangan aplikasi ini juga tidak banyak. Tujuan dari penelitian ini adalah untuk merancang dan membangun aplikasi penjualan online berbasis web untuk UPTD SPNF SKB Salatiga menggunakan metode pengembangan sistem yang dapat menyesuaikan perubahan dengan cepat. Sehingga menghasilkan suatu sistem yang layak pakai dan sesuai dengan tujuan yang sudah ditetapkan. Hasil penelitian ini adalah sebuah aplikasi penjualan yang dapat memasarkan produk secara online dan membantu dalam pengelolaan transaksi serta pelaporan menggunakan sistem yang ada. Pembangunan aplikasi online berbasis web tersebut menggunakan bahasa pemrograman PHP dengan kerangka kerja CodeIgniter, dan database MySQL.
Mapping Land Suitability for Sugar Cane Production Using K-means Algorithm with Leaflets Library to Support Food Sovereignty in Central Java Pramudhita Tunjung Seta; Kristoko Dwi Hartomo
Khazanah Informatika Vol. 6 No. 1 April 2020
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i1.9027

Abstract

Indonesia is the largest sugar importer country in the world, this is contrary to the government's desire to realize sugar self-sufficiency. To overcome the dependence on sugar imports in order to support national food sovereignty, geographic information system technology (GIS) can be used to present information as material for consideration by the government in determining policies on the management of sugar cane land resources. The K-means algorithm is used to group regions according to production level, while the Matching method is for evaluating the suitability of sugarcane land. Presentation of data in the form of map visualization on the web using a new model in processing land data, where this model processes production grouping data, and land suitability class data in the form of GeoJSON then mapped with the help of Leaflets. This new model enables dynamic land data processing and visualization in the form of interactive maps. The results of the EUCS test for GIS mapping of Land Suitability and Cane Production are 3.23 (Satisfied) of the total score of 4, so this system can be accepted by the user.
Sistem Pendukung Keputusan Menyeleksi Saham LQ45 untuk Generasi Milenial Menggunakan Metode SAW Kevin Stevian Hermawan; Kristoko Dwi Hartomo
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 5, No 2 (2021): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v5i2.3455

Abstract

Stocks as an investment instrument are in great demand by millennials because of their lucrative returns. LQ45 is an index introduced by IDX which is selected based on liquidity and market capitalization. However, in LQ45 not all existing shares can be purchased by the millennial generation because the price is quite expensive and these stocks still need to be selected so that they get the stocks that have the best quality but at prices that are friendly to millennials. To support this, we need a system that can support proper decision making so that it can get the best alternative in making decisions. This study uses the SAW method in which this method is able to select existing alternatives based on predetermined categories. This study determines each weight value in each attribute, then ranks it so as to produce the best alternative from the available alternatives. The results showed that HMSP shares with a value of 0.870 are the best alternative as stocks for the millennial generation. This research can be a tool in making decisions before buying stocks
Evaluasi Jaringan dan Interaksi Tim Sukses Pileg Tahun 2019 Melalui Social Network Analysis (SNA) Nining Fitriani; Irwan Sembiring; Kristoko Dwi Hartomo
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 4, No 2 (2020): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v4i2.2348

Abstract

The 2019 elections in Indonesia was slightly different from the previous elections because the elections were held simultaneously. It made more difficult for the community to make their choices. Public was faced with a larger number of candidates who were not necessary known as legislative candidates’ socialization is very important. This research discussed the process of network formation and network structure that was formed. Data collection was carried out through observation, interviews and questionnaires with 50 respondents as research samples. The data obtained were processed using the UCINET tool which was then analyzed using Social Network Analysis (SNA). The results showed that the process of network formation occurred because of interpersonal contact between actors, the experiences of being a successful team and relationships history between actors. The network structure formed was closed with a high level of communication density that is 0,976. It was meant that all actors made communication each other intensively. The actor who became the network booster was actor id#02 which always appears in every click that was formed.
Co-Authors Ade Iriani Agata, Kristien Yuni Agus Bambang Nugraha Ahmad Ashifuddin Aqham Alexandra, Andrea Cellista Allu, Roy Armus Andeka Rocky Tanaamah Andriana, Myra Angelia Destriana Anggara Cahya Putra Anthony Y.M. Tumimomor April Firman Daru Ariany Mahastanti, Linda Ariel Kristianto Arthur, Christian Aruperes, Viveca Grivenda Aryanata Andipradana Baali, Gabriel Megfaden Kenisa Bagaskara, Adyatma Andhika Bambang Ismanto Brilliananta Radix Dewana Chandra Husada Danny Manongga Danny Sebastian Dearmelliani Tarigan Desyandri Desyandri Dewi, Stefani Fransisca Dian Widiyanto Chandra Diky Candra Muria Pratama Djoko Hartanto Dwi Anggono Winarso Suparjo Putra Dwi Hosanna Bangkalang Eko Sediyono Enik Muryanti Estie Grace Melisa Sinulingga Evangs Evi Maria Ezra Julang Prasetyo Faudisyah, Alfendio Alif Gerry Santos Lasatira Gladiola Lavinia Ambayu Gogo Krisatyo Hanna Arini Parhusip Hanna Prillysca Chernovita Hindriyanto Dwi Purnomo Hong, Hendry Indrajaya, Denny Irwan Sembiring Joanito Agili Lopo Joanito Agili Lopo Johan Jimmy Carter Tambotoh Joshua Rondonuwu Kamil, Muhammad Farhan Karina Bianca Lewerissa Kevin Benedictus Simarmata Kevin Hendra William Kevin Stevian Hermawan Kezia Sharent Kodoati Kho, Ardi Kuncoro, Wreda Agung Kurniawan, Timothy Arif Limbong, Josua Josen Alexander Linda Ariany Mahastanti Lobo, Murry Albert Agustin Magdalena Ariance Ineke Pakereng Martin Setyawan Martin Teddy Sihite Matheus Supriyanto Rumetna Mila Chrismawati Paseleng Mozad Timothy Waluyan Muflihanto, Ezar Juan Muhammad Rizky Ramadhan Muhammad Sholikhan Neilin Nikhlis Nicolas Evander Suhandi Nina Setiyawati Nining Fitriani nuranto, bogo Nurrokhman Nurrokhman Nuzhah Al Waaidhoh Penidas Fodinggo Tanaem Prakoso, Hendri Suryo Pramudhita Tunjung Seta Prasetyo, Sri Yulianto Prasianto, Kornelius Reinand Purnomo, Andreas Wisnu Adi Purwanto Purwanto Raditya Ditto Aryaputra Radius Tanone Radjawane, Samy Rahmawati, Lutfi Raymond Elias Mauboy Rizaldi, Alexander Sandy Pratama Saputro, Andreas Arga Rinjani Septian Silvianugroho Sinulingga, Yedija Sada Ukurta Sri Yulianto Sri Yulianto Joko Prasetyo Stevan Hamonangan Hardi Suhandi, Nicolas Evander Suharjo, Rahmat Abadi Sulistiawati, Anita Suryasatriya Trihandaru Sutarto Wijono Sutedja, Indrajani T. Arie Setiawan P Takakobi, Michael Richard Teguh Wahyono Theopillus J. H. Wellem Tri Harjani Tri Wahyuningsih Tridinatha, Zenitha Eunike Triloka Mahesti Tumbade, Marcho Oknivan Untung Rahardja Wahab, Nur Haliza Abdul Waliyuddin Rabbani, Imam Wattimena, Nalbraint Wibowo, Mars Caroline Winarko, Edi Wiwien Hadikurniawati Yessica Nataliani Yohan Maurits Indey