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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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Analisis Kesuksesan Aplikasi Shopee Dari Perspektif Penggemar K-Pop Menggunakan Model Delone dan McLean Estie Grace Melisa Sinulingga; Kristoko D. Hartomo
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 2 (2022): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i2.1411

Abstract

Aplikasi Shopee dirancang sebagai sebuah aplikasi e-commerce yang dapat membantu penggunanya untuk berbelanja secara efisien dan menghemat waktu. Tujuan dari penelitian ini adalah untuk mengetahui seberapa sukses dari aplikasi Shopee dan variabel apa yang mempengaruhi kepuasan pengguna dari perspektif penggemar K-Pop selaku salah satu pengguna pada aplikasi tersebut. Penelitian ini akan menguji menggunakan lima variabel dari metode DeLone and McLean yaitu: kualitas sistem, kualitas informasi, kualitas layanan, kegunaan dan kepuasan pengguna. Penelitian yang digunakan adalah menggunakan metode kuantitatif berupa survey dengan kuesioner, kemudian analisis data menggunakan Structural Equation Model (SEM) dengan Smartpls V3. Data yang dihasilkan berupa hasil analisa dengan menampilkan data dari uji validitas dan uji reliabilitas. Kuesioner yang akan dibagikan kepada responden melalui jejaring sosial, dimana yang menjadi target untuk mengisi data pada kuesioner ini adalah para penggemar K-Pop yang sering atau sudah pernah menggunakan aplikasi Shopee. Hasil dari penelitian ini menunjukan bahwa terdapat 1 (satu) hipotesis dari 6 (enam) hipotesis yang ditolak. Hipotesis yang ditolak merupakan sebuah hipotesis yang memprediksi Kualitas Informasi mempengaruhi Kegunaan menunjukkan koefisien 1.674 (t-statistik 1.96) tidak diterima. Hasil dari penelitian ini memberikan pandangan bahwa Kualitas Informasi dan Kegunaan memiliki pengaruh yang sangat tidak baik, oleh karena itu perlunya peningkatan untuk memperbaiki aplikasi menjadi lebih baik.
Evaluasi Keamanan Fitur Tarik Tunai Cardless pada Aplikasi BRImo Menggunakan PIECES Dearmelliani Tarigan; Kristoko Dwi Hartomo
AITI Vol 19 No 2 (2022)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v19i2.153-166

Abstract

Financial technology (fintech) is a technological development that makes it easier for us in the current digital era. One of the fintech applications in mobile banking services is the BRI Mobile (BRImo) application. BRImo application users still do not fully trust the security of the BRImo feature when withdrawing cash without an Automatic Teller Machine (ATM) card due to cybercrime, such as cases of online fraud. So in this study, we will analyze security and user satisfaction with the cardless cash withdrawal feature in the BRImo application. This study uses the PIECES framework method with six aspects: Performance, Information and Data, Control and Security, Efficiency, and Service. Data was collected by distributing questionnaires and processing data with the help of software version 3.0, namely Smart Partial Least Squares (Smart-PLS). The results from the study indicate that the quality of service and data information on the BRImo cardless cash withdrawal feature significantly influence Control and Security and BRImo user satisfaction.
A new approach of scalable traffic capture model with Pi cluster Kristoko Dwi Hartomo; April Firman Daru; Hindriyanto Dwi Purnomo
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i2.pp2186-2196

Abstract

The development of the internet of things (IoT), which functions as servers, device monitors, and controllers of several peripherals inside the smart home, eased workload in many sectors. Most devices are accessible through the internet because they communicate with wired or wireless interfaces. However, this feature makes them prone to the risk of being exposed to the public. The exposed devices are an easy target for the third party to launch a flooding attack through the network. This attack overloads the system due to the low processing capability, thereby interrupting any running process and harming the device. Therefore, this study proposed a scalable network capturing model that utilized multiple Raspberry Pi boards in parallel to monitor the network traffics simultaneously. An isolated experiment was used for evaluation by running simultaneous flooding attacks on each device. The result showed that the model consumed 30.44% more memory with 14.66% lower central processing unit (CPU) usage and 3.63% faster execution time. This means that this model is better in terms of performance and effectiveness than the single capture model.
Pemetaan Karakteristik Sekolah Sasaran Promosi pada UNKRISWINA SUMBA menggunakan K-Means Murry Albert Agustin Lobo; Sri Yulianto J Prasetyo; Kristoko D Hartomo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4464

Abstract

The rapid development of technology has an impact on how data is collected. A high level of data productivity will be in vain if it is not followed by the ability to process data that can produce information that helps the development of the organization. This study aims to help the Promotion Section of UNKRISWINA SUMBA in mapping the characteristics of the target schools and then provide alternative promotion strategies as input in formulating forms of institutional promotion. The data used is in the form of student data who have registered at UNKRISWINA SUMBA since 2016 – 2020. Data processing uses the concept of data mining by applying the K-Means algorithm. K-Means algorithm is used for clustering promotion target schools as many as 4 clusters. Cluster determination is carried out using the elbow method to determine the optimal value of k to perform calculations. Based on the results of processing based on the K-Means algorithm, it is known that as many as 8 schools in cluster 0 are the schools with the most students enrolling in UNKRISWINA SUMBA, 76 schools in cluster 1 are schools with the fewest students enrolling in UNKRISWINA SUMBA, 21 schools those in cluster 2 are schools with quite a lot of students enrolling in UNKRISWINA SUMBA, and 1 school in cluster 3 is a school with quite a number of students enrolling in UNKRISWINA SUMBA but focusing on the Economic Development and Management study program.
Penerapan Algoritma Random Forest dalam Menganalisa Perubahan Suhu Permukaan Wilayah Kota Salatiga Triloka Mahesti; Kristoko Dwi Hartomo; Sri Yulianto Joko Prasetyo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4603

Abstract

The population increase in Salatiga city is growing rapidly from 2010 to 2020. This change affects the area with vegetation cover, increasing building density and increasing land surface temperatures. The rising of land surface temperature can affect climate change, air quality, human health quality and energy usage. The purpose of this research is to find out the effect of the area with built-up land and area with vegetation cover to land surface temperature by exploring the values of NDVI, NDBI, LST and Albedo. This research shows that the NDVI value has decreased while the NDBI, LST and Albedo values have increased from 2014 to 2021. The values of NDVI, NDBI and Albedo are the components used as validation of the value of the land surface temperature (LST) change in the study area. The results of the correlation between indices show that the highest correlation occurs between NDVI and NDBI with a value of -0.979 which has a negative correlation because vegetation density is always inversely proportional to the density of built up land. The classification results show that there are 7 villages in Salatiga City with high temperature increases, the villages name are Cebongan, Mangunsari, Ledok, Kutowinangun Kidul, Gendongan, Salatiga and Kalicacing. The results of the accuracy and kappa values in the Random Forest algorithm are quite accurate with an accuracy value of 90% and a kappa value of 73%. The usability test in this study was carried out by distributing questionnaires to city planning department in Salatiga City who had a recapitulation result of 3.62 with the criteria "quite useful". From these results, this research is in accordance with its objectives, the result can be used as one of the city government's recommendations for policy making, especially in Salatiga city planning department.
Analisis Faktor E-Learning Readiness dengan Menggunakan Principal Component Analysis Nuzhah Al Waaidhoh; Eko Sediyono; Kristoko Dwi Hartomo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.201 KB) | DOI: 10.21456/vol10iss1pp73-83

Abstract

Technological innovation in the industrial revolution era of 4.0 has changed the concept of learning. For example, the e-learning enables students to learn any where and any time without the limitations of distance, space and time. E-learning brings transformation in the world of education by enabling students to access information, data and learning material in more effective and efficient ways. With some of the benefit soffered by e-learning, many organizations want to apply e-learning system. Implementation of e-learning started with assessing thee-learning readiness. There are many factors found by researchers in the process of assessing e-learning readiness. This study aims to reduce the number of e-learning readiness variabels and to identify the factors that most affect the level of e-learning readiness by using the PCA (Principal Component Analysis) method, so it can help organizations that will implement e-learning to prepare important things in the process of implementation e-learning system. The results obtained show that the three factors that most affect there a diness of implementation e-learning are organization, technology and human resources.
Perencanaan Arsitektur Sistem Informasi dan Teknologi Informasi pada Universitas Ottow Geissler Papua Menggunakan Enterprise Architecture Planning (EAP) Yohan Maurits Indey; Kristoko Dwi Hartomo; Irwan Sembiring
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 4 (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.v9i4.2373

Abstract

The development of Information Systems and Technology has caused a change in the role of efficiency and effectiveness into a strategic and rapid competitive role in the most important educational institutions at the Higher Education level which are managed by non-governmental organizations (private), system support and information technology in the main activities in Higher Education are very important. needed. In business processes that are less than optimal often cause obstacles in the application of information systems, changes often occur individually or in organizations that result in negative responses or rejections that hinder business processes. Information system planning in higher education can be realized in the form of a blueprint. Enterprise Architecture Planning (EAP) is a process of defining architecture for using information in order to support the implementation of business processes and planning for the architecture, as well as to create blueprints for academic information systems in universities that contain various data, application and technology architectures.
INFORMATION SYSTEMS USING SOFT SYSTEM METHODOLOGY AT BPD EAST NUSA TENGGARA Raymond Elias Mauboy; Kristoko Dwi Hartomo; Irwan Sembiring
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.634

Abstract

The provision of targeted funds is important, especially for banking institutions. In order to be able to channel funds properly, banks need to select proposals for assistance requests addressed to the Bank. the criteria requested this is a problem that occurs in the East Nusa Tenggara Regional Development Bank (BPD NTT). The purpose of the Fund Assistance Proposal is for Parties to be able to provide Assistance in the form of Funds or goods to Applicants for Proposals SSM It is a structured approach system to understand the problem, so that it can know the steps that will be taken to overcome the problem and carry out a process which is a more humane and highly efficient system modeling taking into account various aspects of behavior, both organizational behavior and human behavior in complex conditions where there are different points of view on the definition of problems on soft problems or problems related to organizational and human behavior which are not deterministic, but probalistic. In addition, this method builds a conceptual model that is useful for identifying problems so that the right decision-making process can be carried out. In doing so there are 7 steps that will be carried out which are useful for the process of comparing the problem situation in order to identify the most feasible changes and using CATWOE Analysis to understand the different points of view that each stakeholder has together in the organization, every problem has a solution. but whether the answer is appropriate for the organization or not this is an advantage of CATWOE. The results of these stages will be in the form of a support system for a better future system process.
SISTEM INFORMASI PERSEDIAAN SUKU CADANG MENGGUNAKAN MODEL PROSES SCRUM Raditya Ditto Aryaputra; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (2023): 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.v10i1.3508

Abstract

Inventory of goods is one of the important roles in a spareparts company. So that, spare inventory stock data from various vehicle manufacturers must also be kept up to date. However, in its business process, Carfix Salatiga currently still uses manual methods in managing and reviewing its spareparts inventory, so there is often a mismatch between the stock in the warehouse and the stock in the system. This is certainly an obstacle to the business process of Carfix Salatiga. Based on the description of the problem, a spare parts inventory information system was formed as a place for managing spare parts stock at Carfix Salatiga. The method that will be used in this design is the Scrum method. This method was chosen because it is flexible to changes in the needs of the existing system, and does not require many team members to build this system. The Scrum method has several stages, namely Product Backlog, Sprint Backlog, Daily Scrum and Sprint Review. The results obtained are in the form of a web-based inventory information system that can regulate the amount, update, delete, and place an order for spare parts to the central party so that it can make it easier for employees to digitally manage the availability of spare parts
Evaluating Sampling Techniques for Healthcare Insurance Fraud Detection in Imbalanced Dataset Joanito Agili Lopo; Kristoko Dwi Hartomo
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.25929

Abstract

Detecting fraud in the healthcare insurance dataset is challenging due to severe class imbalance, where fraud cases are rare compared to non-fraud cases. Various techniques have been applied to address this problem, such as oversampling and undersampling methods. However, there is a lack of comparison and evaluation of these sampling methods. Therefore, the research contribution of this study is to conduct a comprehensive evaluation of the different sampling methods in different class distributions, utilizing multiple evaluation metrics, including , , , Precision, and Recall. In addition, a model evaluation approach be proposed to address the issue of inconsistent scores in different metrics. This study employs a real-world dataset with the XGBoost algorithm utilized alongside widely used data sampling techniques such as Random Oversampling and Undersampling, SMOTE, and Instance Hardness Threshold. Results indicate that Random Oversampling and Undersampling perform well in the 50% distribution, while SMOTE and Instance Hardness Threshold methods are more effective in the 70% distribution. Instance Hardness Threshold performs best in the 90% distribution. The 70% distribution is more robust with the SMOTE and Instance Hardness Threshold, particularly in the consistent score in different metrics, although they have longer computation times. These models consistently performed well across all evaluation metrics, indicating their ability to generalize to new unseen data in both the minority and majority classes. The study also identifies key features such as costs, diagnosis codes, type of healthcare service, gender, and severity level of diseases, which are important for accurate healthcare insurance fraud detection. These findings could be valuable for healthcare providers to make informed decisions with lower risks. A well-performing fraud detection model ensures the accurate classification of fraud and non-fraud cases. The findings also can be used by healthcare insurance providers to develop more effective fraud detection and prevention strategies.
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