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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) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem 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) 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 Community Service Jurnal Impresi Indonesia Jurnal Nasional Teknik Elektro dan Teknologi Informasi 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 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 Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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PERANCANGAN SISTEM INFORMASI GEOGRAFIS SEBARAN TANAMAN PANGAN BERBASIS SPASIAL DAN MULTI TIER MENGGUNAKAN MAP SERVER Kristoko Dwi Hartomo; Andeka Rocky Tanaamah; Gogo Krisatyo
Jurnal Informatika Vol 9, No 2 (2013): Jurnal Informatika
Publisher : Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (24328.302 KB) | DOI: 10.21460/inf.2013.92.312

Abstract

The province of Central Java is one of the important national crop producers, therefore its productivity of rice and other crops are always at the highest priority (Central Java in Numbers, 2009). To achieve this, all efforts must be arranged systematically and correctly, and one of the efforts is making an accurate inventory of crop fields and production centres which distributed across the province, to provide a good mapping of produce. The research designs a system which capable to create spatially based crops distribution maps, which in turn helps the planning, operation, monitoring, and evaluation of crop production by departments in charge. The mapping is presented using the multi-tier architecture. The distribution map will include crops produce capacity for each year over the whole province. Implementation results are the system performs successfully, and the process time is reasonable, therefore it is applicable.
Rancangan Arsitektur Sistem Informasi E-Customer Relationship Management Menggunakan Metode Enterprise Unified Process Retno Wulandari; Kristoko Dwi Hartomo
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.v6i3.4324

Abstract

Customer Relationship Management (CRM) is a management that discusses the handling of the relationship between customers and the company. In the Power Kitchen where one of the company's equipment in the city of Surabaya has problems related to handling complaints from customers. So we need a CRM system to build relationships with customers. Therefore, the Power Kitchen company needs a CRM system to make it easier for companies to handle complaints from customers. This research uses the Enterprise Unified Process method which is a framework for the software process used. This research has resulted in the form of recommendations for system architecture models to achieve company goals and service relationships between companies and customers.
Rancangan Arsitektur Sistem Informasi E-Customer Relationship Management Menggunakan Metode Enterprise Unified Process Retno Wulandari; Kristoko Dwi Hartomo
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.v6i3.4324

Abstract

Customer Relationship Management (CRM) is a management that discusses the handling of the relationship between customers and the company. In the Power Kitchen where one of the company's equipment in the city of Surabaya has problems related to handling complaints from customers. So we need a CRM system to build relationships with customers. Therefore, the Power Kitchen company needs a CRM system to make it easier for companies to handle complaints from customers. This research uses the Enterprise Unified Process method which is a framework for the software process used. This research has resulted in the form of recommendations for system architecture models to achieve company goals and service relationships between companies and customers.
Analisis Tingkat Kematangan Smart City Kabupaten Lombok Utara Menggunakan COBIT 2019 Ari Panen Haster; Kristoko Dwi Hartomo
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.v6i3.4344

Abstract

Indonesia's national smart city program adopts 6 main dimensions of smart cities, namely Governance, Branding, Economy, Living, Society, and Environment. The North Lombok Regency Government also developed the regional smart city concept in 2021 which is stated in the 2021-2026 RPJMD. The results of capability level research on smart city dimensions and process domains show that there are 3 dimensions that are still far from the expected target, namely Smart Branding, Smart Economy and Smart Environment, and there are 3 dimensions that are close to the achievement target, namely Smart Governance, Smart Living, and Smart Society. While the analysis of the 9 COBIT 2019 process domains shows that there are 3 process domains that have not been managed, namely: APO03, APO12 dan DSS04, 4 process domains have been defined and are running well, namely: APO07, APO12, APO14, and BAI01, and 3 process domains that have been managed and have achieved the expected targets, namely: APO07, APO14, and BAI01. The average GAP value of the analysis of smart city dimensions and COBIT 2019 process domains is 1.7 and 1.3, respectively.
Analisis Tingkat Kematangan Smart City Kabupaten Lombok Utara Menggunakan COBIT 2019 Ari Panen Haster; Kristoko Dwi Hartomo
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.v6i3.4344

Abstract

Indonesia's national smart city program adopts 6 main dimensions of smart cities, namely Governance, Branding, Economy, Living, Society, and Environment. The North Lombok Regency Government also developed the regional smart city concept in 2021 which is stated in the 2021-2026 RPJMD. The results of capability level research on smart city dimensions and process domains show that there are 3 dimensions that are still far from the expected target, namely Smart Branding, Smart Economy and Smart Environment, and there are 3 dimensions that are close to the achievement target, namely Smart Governance, Smart Living, and Smart Society. While the analysis of the 9 COBIT 2019 process domains shows that there are 3 process domains that have not been managed, namely: APO03, APO12 dan DSS04, 4 process domains have been defined and are running well, namely: APO07, APO12, APO14, and BAI01, and 3 process domains that have been managed and have achieved the expected targets, namely: APO07, APO14, and BAI01. The average GAP value of the analysis of smart city dimensions and COBIT 2019 process domains is 1.7 and 1.3, respectively.
Comparison of IDW and Kriging Interpolation Methods Using Geoelectric Data to Determine the Depth of the Aquifer in Semarang, Indonesia Brilliananta Radix Dewana; Sri Yulianto Joko Prasetyo; Kristoko Dwi Hartomo
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 2 (2022): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i2.23260

Abstract

Several areas in Semarang City have been unable to get a clean water supply through the Local Water Company (PDAM) channel. One of the solutions that can be done to overcome this problem is by utilizing groundwater, which can be obtained by building a deep well made to obtain rock layers that can accommodate and drain groundwater (aquifer layer). To find out the approximate depth of the aquifer layer, it is necessary to conduct a preliminary investigation before drilling. There are so many methods that can be done, and one of them is by using the geoelectric method. After using the geoelectric method, we can determine the distribution of the depth of the aquifer in Semarang City by using interpolation analysis. In this study, the IDW and Kriging interpolation methods were used. The two methods were then compared to show the difference in the distribution of aquifer depths in areas that lack clean water using the two interpolation methods above. Besides that, we are using RMSE and MAPE analysis to find the error rate of the two methods. The results obtained were the RMSE of the IDW and Kriging methods amounting to 5,829 and 5,433, and the MAPE results were 10.90% and 10.34%. Based on this, the Kriging method tends to have better results when interpolating using geoelectric data. With this research, it is hoped to provide knowledge to determine the most suitable interpolation method used in determining the depth of the aquifer and also can be used as an illustration of the depth of the aquifer in the area that lacked clean water in Semarang City, so that it can be used as a reference in estimating the design of deep good development more accurately.
Evaluasi Keberhasilan F-Learn Menggunakan Human Organization Technology (HOT) Fit Model pada Universitas Kristen Satya Wacana Kezia Sharent Kodoati; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (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.v9i3.2201

Abstract

Flexible Learning (F-Learn) is an online learning media support facility that is used to support the lecture process at SWCU. The purpose of this study is to evaluate the success rate of F-Learn implementation using the HOT Fit model and see which factors have a significant influence between Human, Organization, Technologicaland Net Benefit. This type of research was carried out with a quantitative approach, and data analysis using SEM PLS with the tools used, namely SmartPLS 3.0 in testing validity, reliability and hypothesis testing. The data was obtained through the results of distributing questionnaires and interviews with several lecturers, so that it is known that user satisfaction on human factors greatly influences the benefits of F-Learn. The results obtained from hypothesis testing there are 12 hypotheses, 8 accepted hypotheses and 4 rejected hypotheses. The success of the implementation of the system is declared a success, where the value of the usefulness of the system at the level of 70.8% is included in the strong category.
Analisis dan Pengujian Sistem Informasi Penjualan Produk UMKM Menggunakan Metode Scrum Gladiola Lavinia Ambayu; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (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.v9i3.2229

Abstract

In Indonesia, developments in the large-scale to small-scale business sectors are beginning to emerge. One of them is MSMEs that utilize patchwork waste. Sometimes in running their business, business owners have difficulty finding patchwork. Based on the issues, e-commerce is an alternative solution to accommodate the sale of patchwork. The benefits of e-commerce for MSMEs are provide flexibility in production, send and receive offers quickly and efficiently, and conduct marketing with the aim of global markets. The method used in this study is the scrum method. Scrum was chosen because of its flexibility, so that it can produce quality software that suits the user, can be used in large and small projects, and easy to adopt changes. The scrum method consists of 5 stages, starting with the product backlog, sprint planning, daily scrum, sprint review, and sprint retrospective. The results of this study are to provide convenience in system design, such as anticipating changes in requirements during the system development process. The purpose of this study is to make it easier for users to find patchwork and help patchwork sellers in expanding the market.
Analisa Rekomendasi Fitur Persetujuan Pinjaman Perusahaan Financial Technology Menggunakan Metode Random Forest Kevin Benedictus Simarmata; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (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.v9i3.2258

Abstract

Financial technology is an industry that utilizes technology to support the financial system and the delivery of financial services more effectively and efficiently.One type of financial technology is peer-to-peer lending. To get a peer-to-peer loan, the company should collect data such as annual income, credit history, work history, and others, the companies perform screening on applications made by borrowers. The results of screening are applications that are accepted and rejected with should be done rapidly and accurately. The machine learning approach is suitable to overcome this problem and can predict the factors that influence loan approval using the feature importance. This study wants to predict the factors that influence loan approval using the Lending Club dataset. The stages of the research method used include data understanding, feature extraction, data pre-processing, exploratory data analysis (EDA), modeling, and insight. The modeling process uses the random forest algorithm because it runs efficiently on large amounts of data. The evaluation model used in the modeling process is recall with quite high result, namely 0.97. Insight obtained from all stages, there are five major determining factors, namely annual income, monthly payments of the borrower, interest rates, investor funds, and the length of work.
Analisis Sentimen Kebutuhan Fast Track Pada Originals Vidio Menggunakan Support Vector Machine Mozad Timothy Waluyan; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (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.v9i3.2348

Abstract

Sentiment analysis is an analysis of textual data that provides a detailed analysis of expressed emotions, opinions, and can predict opportunities related to the results of the analysis. This study was conducted to see how Vidio.Com users responded to the original series, which did not yet have fast track capabilities. This helps Vidio.Com grow and improve its business compared to some other OTT companies that already have this feature. This survey uses Vidio.Com's original series of comments, which consists of 1403 comments. Since the dataset has no data labels, perform sentiment analysis to determine positive, neutral, and negative emotions. Sentiment analysis revealed 663 neutral emotions, 517 positive emotions, and 224 negative emotions. Based on these results, we can conclude that most Vidio.Com users need the fast-track features of the original series. This study also used the support vector machine method to test the distribution of training data and test data with 25%, 50%, 75%, and 100% characteristics. In addition, TfIdf weighting was performed and tests were run using the KFoldCrossValidationSystem. The 25er offers the highest accuracy at 86.04%. In tests using the kfold cross-validation system, a second kfold gives the highest accuracy with an accuracy score of 87.74%.
Co-Authors Ade Iriani Adyatma Andhika Bagaskara Agus Bambang Nugraha Ahmad Ashifuddin Aqham Alexandra, Andrea Cellista Allu, Roy Armus Andeka Rocky Tanaamah Andreas Arga Rinjani Saputro Andriana, Myra Angelia Destriana Anggara Cahya Putra Anita Sulistiawati Anthony Y.M. Tumimomor April Firman Daru Ariany Mahastanti, Linda Ariel Kristianto Arthur, Christian Aruperes, Viveca Grivenda Aryanata Andipradana Baali, Gabriel Megfaden Kenisa 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 Evi Maria 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 Indrajaya, Denny Irwan Sembiring Ismanto, Bambang Ismanto Joanito Agili Lopo Joanito Agili Lopo Johan Jimmy Carter Tambotoh Joshua Rondonuwu Josua Josen Alexander Limbong Karina Bianca Lewerissa Kevin Benedictus Simarmata Kevin Hendra William Kevin Stevian Hermawan Kezia Sharent Kodoati Kuncoro, Wreda Agung Kurniawan, Timothy Arif Linda Ariany Mahastanti Lobo, Murry Albert Agustin Lutfi Rahmawati 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 Prasianto, Kornelius Reinand Purnomo, Andreas Wisnu Adi Purwanto Purwanto Raditya Ditto Aryaputra Radius Tanone Radjawane, Samy Rahmat Abadi Suharjo Raymond Elias Mauboy Rizaldi, Alexander Sandy Pratama Septian Silvianugroho Sinulingga, Yedija Sada Ukurta Sri Yulianto Sri Yulianto Joko Prasetyo Sri Yulianto Prasetyo Stevan Hamonangan Hardi Suhandi, Nicolas Evander Suryasatriya Trihandaru Sutarto Wijono T. Arie Setiawan P Takakobi, Michael Richard Teguh Wahyono Theopillus J. H. Wellem Tri Harjani Tri Wahyuningsih Triloka Mahesti Tumbade, Marcho Oknivan Wahab, Nur Haliza Abdul Wibowo, Mars Caroline Winarko, Edi Wiwien Hadikurniawati Yessica Nataliani Yohan Maurits Indey Zenitha Eunike Tridinatha