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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 JUITA : Jurnal Informatika 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) 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 Malcom: Indonesian Journal of Machine Learning and Computer Science Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Jurnal Rekayasa elektrika Jurnal INFOTEL Scientific Journal of Informatics INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)

Kristoko Dwi Hartomo

Universitas Kristen Satya Wacana

Author-ID : 276989

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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Pelatihan penggunaan sistem manajemen aset gereja untuk peningkatan tata kelola administrasi di GMIM jemaat anugerah paslaten Tomohon Setiyawati, Nina; Bangkalang, Dwi Hosanna; Hartomo, Kristoko Dwi
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 1 (2024): March
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i1.21294

AbstrakDigitalisasi tata kelola gereja merupakan bagian penting untuk mendukung tata kelola administrasi gereja. Saat ini, Gereja Masehi Injili di Minahasa (GMIM) Jemaat Anugerah Paslaten Tomohon berproses mengimplementasikan teknologi dalam tata kelola administrasi gereja secara menyeluruh dimana salah satunya adalah pengelolaan aset. Pada kegiatan Pengabdian kepada Masyarakat (PkM) ini dilakukan pelatihan sistem manajemen aset gereja. Pelatihan dilakukan pada bulan Agustus 2023 dengan metode ceramah dan praktik. Fokus pelatihan pada fungsi pendaftaran dan penambahan aset, perubahan status aset, dan pengawasan kondisi aset. Peserta pelatihan terdiri dari Pendeta Jemaat, Majelis, Admin Teknologi Informasi, dan Koster GMIM Jemaat Anugerah Paslaten. Dari hasil pengujian kepada 14 peserta pelatihan, didapatkan hasil 91%. Hal ini dapat diinterpretasikan bahwa peserta pelatihan sangat setuju Sistem Manajemen Aset Gereja diperlukan untuk pengelolaan aset dan mempermudah dalam mendokumentasikan aset gereja. Kata kunci: sistem manajemen aset gereja; pengelolaan aset; tata kelola administrasi gereja. AbstractDigitalization of church governance is an important part of supporting church administrative governance. Currently, the Evangelical Christian Church in Minahasa (GMIM) Congregation Anugerah Paslaten Tomohon is in the process of implementing technology in overall church administration, one of which is asset management. In this Community Service (PkM) activity, training was carried out on the church asset management system. Training will be conducted in August 2023 using lecture and practical methods. Focus training on the function of registering and adding assets, changing asset status, and monitoring asset condition. The training participants consisted of the Congregation Pastor, Council, Information Technology Admin, and GMIM Koster of the Anugerah Paslaten Congregation. From the results of testing on 14 training participants, the results were 91%. This can be interpreted to mean that the training participants strongly agree that the Church Asset Management System is needed to manage assets and make it easier to document church assets. Keywords: church asset management system; asset management; church administrative governance.

Analisis Kerangka Kerja Scrum pada Sistem Informasi SIGAP sebagai Model Transformasi Digital Kepolisian Hartomo, Kristoko; Arthur, Christian; Waliyuddin Rabbani, Imam
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2882

The advancement of information technology has driven law enforcement institutions to pursue digital transformation in order to enhance the effectiveness and accountability of public services. One of the initiatives undertaken by the Magelang City Police is the development of the Security Guard Information System (SIGAP), designed to support activity recording, field monitoring, personnel management, and security reporting. Common challenges in similar system developments include excessive backlog, release delays, and limited user involvement. This study aims to analyze the application of the Scrum framework in the development of SIGAP, evaluate its impact on team performance and stakeholder engagement, and provide practical contributions to the adoption of Agile methods in the public sector. This research employed a case study approach using Scrum, conducted through four sprints of two weeks each. Data were collected through observation, interviews, questionnaires, and application log analysis. Evaluation indicators included backlog completion rate, average cycle time, user satisfaction, and stakeholder participation. The findings indicate that backlog completion increased from 24% in the first sprint to 100% in the fourth sprint, accompanied by a 65% reduction in cycle time. User satisfaction improved from a moderate level to a very good level, while stakeholder participation increased from 60% to 93%. These results demonstrate that the Scrum framework is effective in enhancing the development of police information systems and can serve as a replicable model for adaptive, transparent, and accountable digital transformation in other public institutions.

Soft System Methodology (SSM) Analysis to Increase the Number of Prospective Students Nikhlis, Neilin; Iriani, Ade; Hartomo, Kristoko Dwi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 4 No 1 (2020): February 2020
Publisher : Universitas Nusantara PGRI Kediri

The competition between campus, whether it’s a public college and private college in Central Java, is very tight with the increasing number of interested students for prospective students from various regions. The close competition requires many campuses to compete to provide the best facilities and services. The research objective is expected to support the "XY" university promotion strategy to help the university in the knowledge capture process. Data collection was carried out using the group discussion forum (FGD) method with a structured interview process for university leaders, university officials, marketing departments, and students. The technique used in this study is a soft system methodology (SSM). The results of this study model knowledge capture (KC) on the "XY" university promotion strategy and produce knowledge documentation that provides benefits in making policy strategies and has an impact on increasing the number of prospective new college students by optimizing digital marketing.

Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College Nurrokhman, Nurrokhman; Dwi Purnomo, Hindriyanto; Dwi Hartomo, Kristoko
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 4 No 2 (2020): August 2020
Publisher : Universitas Nusantara PGRI Kediri

Campus competition in Central Java creates superior and empowered human resources to make XYZ campus optimize the Knowledge Sharing process. In optimizing the Knowledge Sharing process on the XYZ campus through interaction and communication between students in the study program. This study aims to identify the Knowledge Sharing collaboration of students on the XYZ campus in three study programs with 100 respondents using the Social Network Analysis (SNA) method. The parameters used in this study include density, degree centrality, closeness centrality, betweenness centrality, and clicks (subgroups). Based on the analysis of the results obtained by the level of density level of 4.7% or weak ties because under 50%. Actor 98 has the highest degree of centrality with outdegree value 32 and indegree 7, while actor 65, which has the highest closeness centrality with inCloseness value 16,952 and outCloseness value 1,020. Actor 15 also has the highest centrality betweenness with an amount of Betweenness 2750,148 and nBetweenness 28,346. In this study, it can be concluded that there is collaboration in the Knowledge Sharing of students on the XYZ campus from each divided into three study programs, namely, informatics engineering, accounting computerization, and graphic design.

The Natural Disaster Prone Index Map Model in Indonesia Using the Thiessen Polygon Method William, Kevin Hendra; Hutomo, Kristoko Dwi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 2 (2021): August 2021
Publisher : Universitas Nusantara PGRI Kediri

Natural Disasters are natural phenomena that occur at any moment that can cause loss. Indonesia is an archipelagic country located at the meeting of four tectonic plates and volcanic belts. This condition causes Indonesia to be prone to natural disasters. Therefore, it is necessary to make a natural disaster-prone index map model minimize the impact of natural disasters. In this research, the researchers used a Polygon Thiessen method for it was one of the mapping methods to determine a natural disaster based on Indonesia's vast surface and many disasters. The BNPB and Polygon Thiessen data comparison shows that BNPB data has a low level of vulnerability of 302, a moderate level of vulnerability of 148, and a high level of vulnerability of 58. In contrast, the Thiessen polygon has a low level of vulnerability of 297, a moderate vulnerability of 158, and a high vulnerability of 59. Comparing BNPB data and the Thiessen Polygon method found five differences from 40 data in the Papua region. Suggestions for further research to create an application-based information system so that it can be accessed in real-time.

RISK MANAGEMENT ANALYSIS OF E-KOHORTKIA APPLICATION USING ISO 31000 FRAMEWORK IN SOUTH CENTRAL TIMOR DISTRICT HEALTH OFFICE Roy Armus Allu; Kristoko Dwi Hartomo
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 22, No. 2, July 2024
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v22i2.a1201

The E-KohortKIA application is a web-based application launched by the Indonesian Ministry of Health for use in Puskesmas and Health Offices throughout Indonesia as a solution to various problems caused by manual use of the KIA Cohort. This application can be accessed via computer or smartphone and is currently being implemented by the South Central Timor District Health Service for Maternal and Child Health (KIA) services. In using this application, various possible risks can occur that can disrupt application performance, therefore it is necessary to carry out a risk management analysis. The aim of this research is to determine various possible risks that could occur in implementing the E-KohortKIA application and to carry out risk treatment for these possible risks. This research uses qualitative methods by collecting data through interviews and observations, as well as data processing and risk management analysis using the ISO 31000 framework including the risk assessment stage and risk treatment stage. The results of this research found 23 possible risks, most of which were due to system and infrastructure factors. These possible risks include 13 possible low level risks, 8 possible medium level risks, and 2 possible high level risks. There are 2 possible risks that have a high and maximum level of risk severity so that they have the potential to disrupt or inhibit or even stop application performance. This research also provides recommendations for risk treatment proposals for various possible risks and can be used by users to maintain application performance.

Analisis Kepuasan Pengguna Menggunakan Kombinasi End User Computing Satisfaction Dan Servqual Pada Website KEMENAG Provinsi Maluku Nalbraint Wattimena; Kristoko Dwi Hartomo; Hendry Hong
JURNAL INFOTEL Vol 17 No 1 (2025): February 2025
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i1.1264

In recent years, the need for online service information has been increasing. To meet this need, the Regional Office of the Ministry of Religious Affairs in Maluku Province, through religious institutions, provides service information on their website using information system technology. In the last three months, total visits to the Ministry's website have increased by 39.4%. However, there are still issues with the website, such as complicated and time-consuming navigation due to large and numerous menu displays. A user satisfaction survey for this website has also never been conducted. Due to these issues, the researchers are interested in studying user satisfaction with the Ministry of Religious Affairs website using a combination of the EUCS and Servqual methods. This study aims to obtain an in-depth understanding of user satisfaction with the website using these combined methods and to identify various factors influencing user satisfaction. The results indicate that 8 variables have very high satisfaction values. From the T-test conducted, 7 variables affect user satisfaction: accuracy, format, ease of use, timeliness, responsiveness, assurance, and empathy. Among these, the most influential variable is format. Meanwhile, one variable, content, does not affect user satisfaction. According to the F-test results, the variables content, accuracy, format, ease of use, timeliness, responsiveness, assurance, and empathy collectively influence user satisfaction.

Sentiment Analysis of the Free Nutritious Meal Program Using IndoBERT and RCNN Methods Ancilla Nebrisca Valonika; Kristoko Dwi Hartomo
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/qg9bfb89

This study examines public sentiment regarding the Free Nutritious Meal Program through a deep learning-based sentiment classification methodology applied to X and TikTok. The suggested method uses a hybrid IndoBERT RCNN architecture, with IndoBERT being used to extract features and RCNN being used to classify sentiment. There are 10,000 comments from each platform in the dataset. These comments went through preprocessing and sentiment labeling steps. Model evaluation was conducted using stratified K-fold cross-validation with different combinations of learning rate, batch size, and epochs. The best configuration achieved an accuracy and F1-score of 78% on X and 83% on TikTok. The model performs well in identifying overall sentiment patterns, although neutral sentiment remains challenging to classify, particularly in X data containing sarcastic or indirect language. These findings provide empirical insights into cross-platform sentiment characteristics and highlight the potential of this approach for testing sentiment monitoring strategies across platforms.

ANALISIS KUALITAS SISTEM RISET SATYA WACANA (RISAT) UKSW MENGGUNAKAN MODEL ISO/IEC 25010 : QUALITY IN USE (EFFECTIVENESS & EFFICIENCY) Radjawane, Samy; Hartomo, Kristoko Dwi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6342

Bidang penelitian di universitas sangat berperan penting dalam memegang peran penting melalui ilmu pengetahuan dan teknologi. Perkembangan era digital membuat penggunaan sistem informasi penelitian menjadi sangat penting untuk meningkatkan efektivitas dan efisiensi dalam proses penelitian. Pada penelitian ini akan dilakukan penilaian kualitas Sistem Riset Satya Wacana (RISAT) sebagai salah satu sistem Pengajuan penelitian dan insentif luaran di Universitas Kristen Satya Wacana menggunakan model ISO/IEC 25010 dengan domain Quality in Use yang mencakup Effectiveness dan Efficiency. Analisis dilakukan dengan pengumpulan data melalui survei pengguna serta diolah menggunakan SPSS. Hasil penelitian menunjukkan pada aspek Effectiveness berada pada presentase 91% yang menunjukkan bahwa user merasa Sangat Setuju bahwa RISAT sangat mudah dan efektif, serta aspek Efficiency mendapatkan presentase 83% dan menunjukkan bahwa user merasa Sangat Setuju dalam menggunakan RISAT karena sangat efisien. Untuk meningkatkan lagi sistem agar lebih optimal maka rekomendasi perbaikan disusun berdasarkan temuan ini untuk meningkatkan kualitas sistem RISAT secara keseluruhan.

Optimizing Attendance System: Integrating Liveness Detection and Deep Learning for Reliable Face Recognition Joseph Teguh Santoso; Eko Sediyono; Kristoko Dwi Hartomo; Irwan Sembiring
JUITA: Jurnal Informatika JUITA Vol. 12 No. 2, November 2024
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v12i2.21738

The study focuses on using vitality detection and deep learning technologies in the context of facial recognition in an IT presence management project. The combination of deep learning with vitality detection provides a considerable advancement in security and effectiveness. This work integrated vitality-detecting technology with in-depth learning in facial recognition systems. Vitality detection technologies are used to verify the authenticity of persons by examining live indicators such as movements or facial expressions before face recognition. Meanwhile, deep learning is used to analyze and process facial photos correctly by learning from large amounts of data and recognizing facial features in depth. The study data set consists of 1300 photographs of professional school instructors taken with official authority. Model testing and training are carried out in the Google Colab environment, using Python and the Hardy package. The test findings showed an 87% accuracy in face recognition, proving the system's capacity to consistently identify persons and distinguish real from false ones. Furthermore, the performance of Liveness Detection achieves 92% accuracy, as does the integration of Live Detection technology with Deep Learning at 78%.

Co-Authors Ade Iriani Agata, Kristien Yuni Agus Bambang Nugraha Ahmad Ashifuddin Aqham Akbar, Rifqi Nabil Alexandra, Andrea Cellista Ancilla Nebrisca Valonika Ancilla Nebrisca Valonika Andeka Rocky Tanaamah Andriana, Myra Angelia Destriana Anggara Cahya Putra Anthony Y.M. Tumimomor April Firman Daru 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 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 Hendry Hindriyanto Dwi Purnomo Indrajaya, Denny Irwan Sembiring Jason Evan Hendarko Joanito Agili Lopo Joanito Agili Lopo Johan Jimmy Carter Tambotoh Joseph Teguh Santoso Joshua Rondonuwu Juneth Manuputty Kamil, Muhammad Farhan Karina Bianca Lewerissa Karina Bianca Lewerissa Kevin Benedictus Simarmata Kevin Stevian Hermawan Kezia Sharent Kodoati Kho, Ardi Kuncoro, Wreda Agung Limbong, Josua Josen Alexander Linda Ariany Mahastanti Linda Ariany Mahastanti Lobo, Murry Albert Agustin Magdalena Ariance Ineke Pakereng Martin Setyawan Martin Teddy Sihite Matheus Supriyanto Rumetna Michael Richard Takakobi Mila Chrismawati Paseleng Mozad Timothy Waluyan Muflihanto, Ezar Juan Muhammad Rizky Ramadhan Muhammad Sholikhan Nalbraint Wattimena Nicolas Evander Suhandi Nikhlis, Neilin 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 Roy Armus Allu 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 Teguh Wahyono Theopillus J. H. Wellem Timothy Arif Kurniawan Tri Harjani Tri Wahyuningsih Tridinatha, Zenitha Eunike Triloka Mahesti Tumbade, Marcho Oknivan Untung Rahardja Wahab, Nur Haliza Abdul Waliyuddin Rabbani, Imam Wibowo, Mars Caroline William, Kevin Hendra Winarko, Edi Wiwien Hadikurniawati Yessica Nataliani Yohan Maurits Indey

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