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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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Data Mining untuk Nasabah Bank Telemarketing Menggunakan kombinasi Algoritm Naïve Bayes Dan Algoritma Genetik Ahmad Ashifuddin Aqham; Kristoko Dwi Hartomo
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 4, No 1 (2019): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (704.447 KB) | DOI: 10.30743/infotekjar.v4i1.1574

Abstract

The strategy used for telemarketing by conducting promotional media, this strategy is a marketing method used by banks, in offering products to customers, banks, one of the products that will be offered is time deposits, the bank has difficulty in knowing the obstacles experienced by customers in making a decision to make deposits against the bank, so that later it will have the effect of a financial crisis at the bank. Telemarketing banks must have targets for customers, where customers have the potential to join one of the bank's products, namely deposits by looking at existing customer data.With the existing problems will be overcome by the datamining technique that will be used for this research is the Naïve Bayes algorithm and genetic algorithm which aims to predict the Telemarketing customers' sources sourced from public UCI Repsitory data so that the bank offers a product to the customer right at the target. Naïve Bayes test with experimental results of 86.71% accuracy while cross validation testing using Genetic algorithm produces high accuracy 90.27%, Root proves the prediction of time series data Naïve Bayes method and Genetics produces an accuracy of 90.27%, so it can be concluded that using the Naive Bayes algorithm and Genetics can optimize in predicting Telemarketing client decisions right in the deposit offer.
Geographic Information System for Mapping the Spread of COVID-19 in the city of Salatiga Joshua Rondonuwu; Kristoko Dwi Hartomo; Hanna Prillysca Chernovita
Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v4i2.2351

Abstract

The city of Salatiga, located in the province of Central Java, is one of the cities affected by the spread of COVID-19 in Indonesia. The first COVID-19 case in the city of Salatiga was confirmed on 31 March 2020 until now it has reached more than eighty people. The increasing number of cases and the lack of information on the spread of COVID-19 and the information provided are static. This information, this research aims to build and utilize the WebGIS application as one of the information for the spread of COVID-19 in Salatiga. Mapping the area in this application uses a shapefile file and is converted to a GeoJSON file. It uses Blogspot as web hosting and javascript leaflets to display GIS maps and designs and uses the Exponential Smoothing method to forecast COVID-19 cases and use the web equal 4.0 method for website testing. The results of this study to provide information about the spread of COVID-19 in the city of Salatiga. Interactive map and forecasts of COVID-19 cases in the city of Salatiga. In this study, the single exponential smoothing has the smallest MAPE value, namely 35.2360. It results in a prediction on July 20 to 26, 2020, which has decreased to 1 positive case consisting of the lowest number in this forecasting is -2. The highest number shows four positive cases. And the website testing using the webqual 4.0 standard, respondents agreed with the website's usability and information quality, and it was sufficient for website service interaction.
Analisis Risiko Teknologi Informasi Aplikasi CATTER PDAM Kota Salatiga Menggunakan ISO 31000 Enik Muryanti; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 3 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i3.948

Abstract

Catat Meter (CATTER) is a recording system for customer water meter stands at PDAM Salatiga City. The Catat Meter application helps companies in the process of entering customer water meter stand data every day and makes it easier to report water bills for residents of the City of Salatiga. The study was conducted using the ISO 31000 method, which is a framework used as a guideline for implementing risk analysis management which has several stages, namely the first stage of risk assessment which consists of 3 stages, namely risk identification, risk analysis, risk evaluation. The next stage is risk treatment. There are 4 possible risks that are included in the high level, 13 possibilities that are included in the medium level, and 9 possible risks that are included in the low level. The problem that arises is the lack of maintenance processes on assets owned by the Catat Meter application that have not been carried out optimally. By implementing risk reduction, the company is able to minimize the possible risks and impacts.
Implementasi End User Computing Satisfaction (EUCS) Dalam Pengukuran Kepuasan Pengguna Situs Web Badan Pertanahan Nasional Diky Candra Muria Pratama; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1263

Abstract

This study was conducted to determine the level of user satisfaction of the Ministry of Agrarian and Spatial Planning/National Land Agency (ATR/BPN) website so that website managers can get an overview of user satisfaction levels as well as future evaluation materials. Measurement of user satisfaction using the EUCS. The variables in this study were content, accuracy, format, ease of use, and timeliness. The sample in this study was collected from 168 respondents consisting of 3 Head of ATR/BPN, 17 BPN staff and 148 people who had accessed the ATR/BPN website. Collecting data using a closed questionnaire consisting of 13 questions for the five variables studied. From the data obtained, it is concluded that the overall level of user satisfaction is at an average value of 2.64 at level 3 (neutral), which means that according to the perception of general respondents, the website of the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/ BPN) does not say satisfactory but also does not disappoint. The variables that are considered quite good are accuracy and ease of use, while the content, format, and timeliness are still being considered for further improvement and development. Keywords: Website, ATR/BPN, EUCS
Analisis Manajemen Risiko Dengan Menggunakan Framework ISO 31000:2018 Pada Sistem Informasi Gudang Wirawan Harefa; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1478

Abstract

CV Ribka Furniture is a company that is involved in the production and sales of shelves, cabinets, chairs, sofas, tables and so on, the company has implemented IS/IT in optimizing business activities to be more effective and efficient. The company uses an ERP application that aims to control all production processes such as recording incoming goods, outgoing goods, total stock of goods, as well as being integrated with other divisions such as payroll, attendance, and so on. However, it is undeniable that there are always possible risks that may occur and may interfere with business activities in the use of related systems. In this case, risk analysis is needed for IS/IT resources contained within the company. Applying ISO 31000 analysis is expected to minimize the risks that may exist in ERP applications. The results of this risk analysis are in the form of an analysis of the possibility of existing risks, evaluations, to risk mitigation plans so that they can produce improvements to existing risks, so the company can adjust to the priorities of the existing risk levels, so as not to interfere with business activities at CV Ribka Furniture
Analisis Manajemen Risiko Dengan Menggunakan Framework ISO 31000:2018 Pada Sistem Informasi Gudang Wirawan Harefa; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1478

Abstract

CV Ribka Furniture is a company that is involved in the production and sales of shelves, cabinets, chairs, sofas, tables and so on, the company has implemented IS/IT in optimizing business activities to be more effective and efficient. The company uses an ERP application that aims to control all production processes such as recording incoming goods, outgoing goods, total stock of goods, as well as being integrated with other divisions such as payroll, attendance, and so on. However, it is undeniable that there are always possible risks that may occur and may interfere with business activities in the use of related systems. In this case, risk analysis is needed for IS/IT resources contained within the company. Applying ISO 31000 analysis is expected to minimize the risks that may exist in ERP applications. The results of this risk analysis are in the form of an analysis of the possibility of existing risks, evaluations, to risk mitigation plans so that they can produce improvements to existing risks, so the company can adjust to the priorities of the existing risk levels, so as not to interfere with business activities at CV Ribka Furniture
Visualization of Sales Field Activity Data Using Operations Dashboard for ArcGIS Angelia Destriana; Kristoko Dwi Hartomo; Hanna Prillysca Chernovita
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 4 (2020): Agustus 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (670.028 KB) | DOI: 10.29207/resti.v4i4.2096

Abstract

The process of manually recording and visualizing data that has high and complicated transaction rates, is no longer relevant for analyzing errors that often occur in company. The impact is the information generated becomes inaccurate in decision making. Problems that are often experienced by companies in visualizing data are non-real-time, non-integrated data, and irregular data visualization. In an effort to minimize problems such as real-time, not integrated, and irregular data visualization, the role of data visualization is needed to improve company performance. Based on these problems the researcher provides a solution, namely designing a geographic information system visualizing sales field activity data, by providing information about visualizing sales field activity data in real-time through the widget contained in the Operations Dashboard for ArcGIS (ODA). The stages of this research are the study of literature, entering polygon zones, making application-based forms, making application-based coordination, inputting dummy data, collecting data, making maps, making data visualization applications, and analyzing data. The results of this study can monitor workers who have good performance that is seen from the indicator completed most of each worker shows that geobiz_admin has completed as many as 6 completed. And can know the movement (tracking) of workers who come out of the work zone, from the analysis there is one mobile worker who came out of Zone II and entered Zone I and Zone III.
Optimalisasi Penyaluran Bantuan Pemerintah Untuk UMKM Menggunakan Metode Fuzzy C-Means Anggara Cahya Putra; Kristoko Dwi Hartomo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 3 (2021): Juni 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (460.121 KB) | DOI: 10.29207/resti.v5i3.2980

Abstract

Indonesian MSMEs were very seriously affected by the Covid-19 pandemic, which caused the Indonesian economy has experienced deceleration. The Indonesian government has taken several steps to keep economic activity running, such as direct cash assistance for micro-scale businesses but is having problems in obtaining real data so that assistance is not on target, the clustering method using Fuzzy C-Means (FCM) is used for grouping MSME data. FCM allows the data to be a member of all clusters in which each cluster has a membership degree value of 0-1. The data used is from the website of the Sleman Regency Cooperatives and SME Service. FCM classifies MSME data based on the attributes of revenue, assets and number of workers. This research resulted in grouping MSME data into 3 priority levels for MSMEs in obtaining assistance, namely high priority, medium priority, and low priority. The results of this study show that the number of MSMEs with high priority is 23,023 MSMEs, medium priority is 9,774 MSMEs and low priority is 3,159 MSMEs. The validation test of the FCM method uses the Partition Coefficient Index (PCI) which has a value of 0.826 which means that value good because it is close to 1.
SWOT Analysis Quick Response Indonesian Standard (QRIS) As a Digital Payment System (Cashless) Towards Advanced Indonesia Martin Teddy Sihite; Kristoko Dwi Hartomo
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.4441

Abstract

Bank Indonesia together with the Financial Services Authority officially launched the Quick Response Indonesian Standard (QRIS) for the first time at the Bank Indonesia head office on August 17, 2019 and has been effective nationally since January 1, 2020. The SWOT analysis in this study aims to see the identification of problems found from the use of this QRIS digital payment system. IFAS and EFAS calculations are carried out in obtaining the number of points for each SWOT element by determining the coordinates of the SWOT Analysis Graph using a Cartesian Diagram. Based on the results of the research, the conclusion states that the results of Strength (QRIS Strength) are 1289 Points (37.2%), Weakness (QRIS Weaknesses) are 277 Points (8%), Opportunity (QRIS Opportunity) is 1284 points (37.1%) and Threat (QRIS Threat) as much as 610 points (17.6%). The final result of the study proves that the QRIS digital payment system is very feasible to use because the results of the SWOT analysis graph depicting the coordinates (X and Y) are located in the (Strength and Opportunity) section with the acquisition of the coordinates (X, Y) of (1012, 674). This means that Strength QRIS far outperforms 1012 points compared to Weakness QRIS and Opportunity QRIS outperforms 674 points compared to Threat QRIS, thereby proving that the community agrees and supports the use of the Quick Response Indonesian Standard (QRIS).
Model Prediksi Kekeringan Menggunakan Metode Holt-Winters (Studi Kasus : Wilayah Kabupaten Boyolali) Dwi Anggono Winarso Suparjo Putra; Kristoko Dwi Hartomo; Radius Tanone
Indonesian Journal of Computing and Modeling Vol 1 No 1 (2018)
Publisher : Pusat Studi Sistem Informasi dan Pemodelan Mitigasi Tropika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.298 KB)

Abstract

Kekeringan merupakan fenomena alam yang tidak dapat dihindari sebagai salah satu dampak dari perubahan iklim yang mengancam berbagai macam sektor kehidupan. Untuk itu diperlukan sebuah model dalam melakukan prediksi kekeringan sehingga dapat digunakan sebagai acuan dalam memantau daerah rawan terkena dampak kekeringan khususnya di Kabupaten Boyolali. Pada penelitian ini hasil perhitungan prediksi daerah kekeringan ditampilkan melalui perangkat smartphoneAndroid menggunakan layanan Google Maps API dan Android Heatmaps Utility Library.Proses pemetaan dan proses prediksi kekeringan yang didukung dengan mobilitas tinggi dapat membantu proses distribusi informasi menjadi lebih baik. Sistem ini dibuat menggunakan metode Holt-Winters dalam melakukan prediksi curah hujan dan klasifikasi tingkat kekeringan berdasarkan Standarized Precipitation Index. Berdasarkan hasil yang dicapai, perangkat smartphone Android dapat menampilkan hasil prediksi dengan baik dengan nilai error kesalahan ramalan terkecil bernilai 4,27.
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