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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 Startupreneur Business Digital (SABDA Journal) 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) JOT
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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Analisis Kepuasan Pengguna Aplikasi Sunfish ERP Menggunakan Metode EUCS (PT. Varia Usaha Beton) Agata, Kristien Yuni; Hartomo, Kristoko Dwi
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 3: Desember 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i3.2301

Abstract

Information technology (IT) is an important aspect of company management and resources. Many companies have used this system to help run their business processes. The research objective is to determine the influence of the variables content, accuracy, format, ease of use and timeliness on user satisfaction of the Sunfish application. Method: The method used to analyze user satisfaction is EUCS (End User Computing Satisfaction). In this research, it is a quantitative study with a research sample of 65 respondents. The results of the analysis using SPSS are based on the t test results for the content variables 2.091, accuracy 2.117, format 4.397, ease of use 2.661 and timeliness 2.146. Thus, the EUCS variable, both simultaneously and partially, has a significant effect on user satisfaction of the Sunfish application at PT. Varia Usaha Beton.Keywords: User Satisfaction; End User Computing Satisfaction; Sunfish; Statistical Product and Service Solutions AbstrakTeknologi informasi (TI) menjadi aspek penting dalam pengelolaan dan sumber daya oleh perusahaan. Banyak perusahaan yang telah menggunakan sistem tersebut membantu menjalankan proses bisnisnya. Tujuan penelitian mengetahui pengaruh variabel konten, ketepatan, format, kemudahan penggunaan, dan ketepatan waktu berpengaruh terhadap kepuasan pengguna aplikasi sunfish. Metode: metode yang digunakan untuk Analisa kepuasan pengguna adalah EUCS (End User Computing Satisfaction) dalam penelitian ini adalah studi kuantitatif dengan sampel penelitian sebanyak 50 responden. Hasil analisis menggunakan SPSS 18 berdasarkan hasil uji t nilai untuk variabel content 1,384, accuracy 0,930, format 2,400, ease of use 2,042 dan timeliness 2,657. Dengan demikian variabel EUCS secara parsial hanya variable format, kemudahan penggunaan, dan ketepatan waktu yang dapat memberikan dampak signifikan terhadap kepuasan pengguna aplikasi sunfish di PT. Varia Usaha Beton.Kata kunci: Kepuasan Pengguna; End User Computing Satisfaction; Sunfish; Statistical Product and Service Solutions
PENDAMPINGAN PERIZINAN USAHA MIKRO KECIL MENENGAH BINAAN KAMPUNG KB SEMBADA, DESA SAMIRONO Evi Maria; Martin Setyawan; Hanna Prillysca Chernovita; Tri Harjani; Kristoko Dwi Hartomo
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 4 (2023): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i4.19719

Abstract

ABSTRAKTujuan kegiatan pengabdian masyarakat ini adalah untuk membantu Usaha Mikro Kecil Menengah (UMKM) binaan Kampung KB Sembada, Desa Samirono untuk memperoleh legalitas bisnis melalui pendampingan pengurusan perizinan berusaha. Ada tiga perijianan yang didampingi, yaitu Nomor Induk Berusaha (NIB), Sertifikat Halal, dan Sertifikat Produksi Pangan-Industri Rumah Tangga (SPP-IRT). Peserta kegiatan ini berjumlah 18 UMKM. Ada tiga tahapan dalam kegiatan pengabdian ini. Pertama, sosialisasi perizinan berusaha. Kedua, pendataan dan pendampingan perizinan berusaha. Ketiga, pendaftaran perizinan berusaha. Kegiatan pengabdian ini dilaksanakan dari tanggal 5 sampai 23 September 2023. Dari 18 UMKM, hanya 13 UMKM yang berkomitmen untuk didampingi dalam kegiatan pengurusan perizinan, tiga UMKM sudah memiliki izin berusaha lengkap, dan dua UMKM tidak bersedia mengurus perizinan berusaha karena merasa belum membutuhkannya. Hasil kegiatan pengabdian masyarakat ini adalah terdapat 10 (sepuluh) UMKM yang mendapatkan NIB, delapan UMKM yang telah mengajukan permohonan untuk Sertifikat Halal, dan 6 (enam) produk UMKM yang telah terbit SPP-IRT. Produk UMKM yang telah terbit SPP-IRT masih memiliki kewajiban memenuhi komitmen mengikuti penyuluhan keamanan pangan dan memenuhi persyaratan cara produksi pangan dalam jangka waktu tiga sampai enam bulan, sehingga Kampung KB Sembada masih harus terus melakukan pendampingan hingga kewajiban tersebut terpenuhi. Kata kunci: kampung KB; perizinan berusaha; UMKM ABSTRACTThis community service activity aims to help Micro, Small, and Medium Enterprises (MSMEs) assisted by Kampung KB Sembada, Samirono Village, obtain business legality through assistance in processing business permits:Business Permit Number (NIB), Halal Certificate, and Household Food-Industry Production Certificate (SPP-IRT). Participants in this activity were 18 MSMEs. There are three stages in this community service. First, socialization of business licensing. Second, data collection and business licensing assistance. Third, registration of business permits. This service activity was held from 5 to 23 September 2023. Of the 18 MSMEs, only 13 were committed to being assisted in the business permits, three had complete business permits, and two were unwilling to take care of business permits because they felt they did not need them. This community service activity shows that 10 MSMEs have had NIB issued, eight MSMEs have submitted applications for Halal Certificate, and six MSME products have had SPP-IRT issued. MSMEsproducts that have been issued SPP-IRT still must fulfill their commitment to follow food safety education and satisfy the requirements for suitable food production methods within a period of three to six months so that the Kampung KB Sembada still have to continue to assist until this obligation fulfilled. Keywords: kampung KB ; business permits; MSME
UI/UX Model of Personnel Information System at the Synod Office using Design Thinking Method Dewi, Stefani Fransisca; Hartomo, Kristoko Dwi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4992

Abstract

The GKJ Synod Office is the administrative center for the Javanese Christian Churches, managing several service units such as correspondence, licensing for institutions/foundations, finance, and publishing materials for spiritual development. The GKJ Synod Office still faces issues related to employee data management, requiring technology to help address these challenges. The research uses the Design Thinking method, as it focuses on a user-centered approach, understanding the problems and limitations of users to create designs that align with their needs. This study results in a User Interface (UI) and User Experience (UX) model for a web-based employee information system that can be adopted by synods of churches across Indonesia. System testing was conducted to measure user satisfaction with the design of the employee information system, using the System Usability Scale (SUS) method. The final result for the admin was 88, and for the superadmin, it was 91. Based on the SUS Score interpretation criteria, the resulting system design received a grade (A), an adjective rating of (excellent), and acceptability ranges (acceptable), indicating a high level of user satisfaction.
Multi-Objective k-Nearest Neighbor for Breast Cancer Detection Nataliani, Yessica; Arthur, Christian; Wellem, Theophilus; Hartomo, Kristoko Dwi; Wahab, Nur Haliza Abdul
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2669

Abstract

Early detection of cancer is crucial. This study aims to increase the efficiency of breast cancer detection using the modified k-nearest neighbor (k-NN) algorithm. Since k-NN faces challenges with sensitivity to k values and computational complexity, a modification of k-NN was proposed, namely a multi-objective k-NN model. It was developed to incorporate multi-objective optimization and local density to create a more robust and efficient classification algorithm. The model dynamically determines the k value based on the sample density, optimizing accuracy and efficiency. Breast cancer data were collected from the University of Wisconsin Hospitals, Madison. The experimental results showed that the multi-objective k-NN model outperformed traditional k-NN and k-NN with feedback support. The proposed model achieved an accuracy of 93.7%, with precision values of 93% for the negative cancer class and 94% for the positive cancer class. These results indicate that the multi-objective k-NN model provides superior accuracy and precision in breast cancer detection, demonstrating its potential for clinical applications.
Evaluation of an Information System using the PIECES Framework: A Case Study of the Inventory Administration Information System (SIAP) of the North Sulawesi Provincial Government Aruperes, Viveca Grivenda; Hartomo, Kristoko Dwi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i2.5041

Abstract

This study evaluates user satisfaction with the Inventory Administration Information System (SIAP) in North Sulawesi Province using the PIECES Framework and provides recommendations for improvement. The PIECES Framework was chosen due to its proven effectiveness in assessing satisfaction, identifying issues, and guiding system development. This framework consists of six variables: Performance, Information & Data, Economic, Control & Security, Efficiency, and Service. The sample size was determined using Slovin's formula, involving 36 administrators from government offices. Data was collected through questionnaires measured on a Likert scale. The results indicate overall user satisfaction across all six variables. However, some weaknesses were identified, particularly in the Performance and Control & Security variables.
Pemanfaatan WebGIS untuk Pemetaan Wilayah Rawan Longsor Kabupaten Boyolali dengan Metode Skoring dan Pembobotan Muhammad Sholikhan; Sri Yulianto Joko Prasetyo; Kristoko Dwi Hartomo
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 1 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i1.1588

Abstract

WebGIS is an online-based application of Geographic Information System, this application is a combination of web design and web mapping. WebGIS is mainly used for publishing map-based spatial information. Therefore, the author utilized webGIS, in order to mapping area that prone to landslides by using scoring and weighting methods. Parameters that used in this paper referring to the estimation model by Puslittanak in 2004, the parameters were rainfall, rock type, slope, land use, and type of soil maps. The determination of area prone to landslides was carried out by multiplying score by weight for each parameter, subsequently, the result was added up according to the reference of Puslittanak. The result of this study indicates that there are 4 sub-districts with high disaster-prone level, the sub-districts are Ampel, Cepogo, Musuk, and Selo. The final result of the map processed into a webGIS by applying Google maps service and framework bootstrap; the webGIS can be accessed by internet browser.
Rancang Bangun Sistem Informasi Geografis Rekomendasi Cagar Budaya Menggunakan Metode Analytic Hierarchy Process Nicolas Evander Suhandi; Kristoko Dwi Hartomo; Penidas Fiodinggo Tanaem
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 2 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i2.2593

Abstract

Salatiga City is a town located in the province of Central Java. In this town, there can be found many cultural heritage buildings that were built in the mid-18th century to 1940. Potential visitors would increase easier if a geographic information system is built. Tourists who visit can access the website to select or search for cultural heritage that they want to visit, therefore the availability of a geographic information system that provides information and data on the location of cultural heritage in digital maps is needed. The system must also consider aspects of the cultural heritage rating, the price of admission, and the condition of the cultural heritage to provide recommendations on which cultural heritage to be visited. Therefore the geographic information system of cultural heritage recommendations uses the analytical hierarchy process (AHP) method which can calculate multi- criteria, multi alternatives, and provides cultural heritage recommendations. This system combines geographic information system as a provider of cultural heritage information and AHP decision support system to assist tourists in choosing cultural heritage.
BiLSTM OptiFlow: an enhanced LSTM model for cooperative financial health forecasting Maria, Evi; Wahyono, Teguh; Dwi Hartomo, Kristoko; Purwanto, Purwanto; Arthur, Christian
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.8653

Abstract

This paper presents bidirectional long short-term memory (BiLSTM) OptiFlow, an optimized deep learning model designed to predict the financial health of cooperatives using key financial ratios: debt to equity ratio (DER), net profit margin (NPM), and return on equity (ROE). By leveraging a BiLSTM architecture combined with an optimal decayed learning rate, this model aims to enhance forecasting accuracy. The proposed model was tested against three established methods—recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU)—and evaluated using mean absolute error (MAE), mean absolute percentage error (MAPE), and mean squared error (MSE) metrics. Results indicate that BiLSTM OptiFlow outperforms the other models across all key indicators. This research offers a robust approach to cooperative financial forecasting, with significant implications for decision-making processes in cooperative management.
Implementasi Model ARIMA untuk Peramalan Reorder Point dalam Supply Chain Management Alexandra, Andrea Cellista; Hartomo, Kristoko Dwi
JURIKOM (Jurnal Riset Komputer) Vol 12, No 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8639

Abstract

This research analyzes the patterns and trends of reorder points in inventory management over a two-year period (2023-2024), utilizing weekly time series data generated from daily data resampling. The ARIMA (Autoregressive Integrated Moving Average) method was applied to forecast future reorder point values. An Augmented Dickey-Fuller (ADF) stationarity test revealed that the initial data was non-stationary but became stationary after a single differencing operation. Parameter identification using Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots indicated that the ARIMA(1,1,1) model was the best choice, based on the lowest Akaike Information Criterion (AIC). Model accuracy was evaluated using Mean Absolute Percentage Error (MAPE), yielding a value of 0.02%, signifying an excellent level of prediction accuracy. Consequently, the ARIMA model is demonstrated to be reliable for forecasting reorder points, supporting more precise decision-making in inventory management.
A Dual-Fusion Hybrid Model with Attention for Stunting Prediction among Children under Five Years Hadikurniawati, Wiwien; Hartomo, Kristoko Dwi; Sembiring, Irwan; Arthur, Christian
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.831

Abstract

Malnutrition remains a persistent global health challenge, especially among children under five. Traditional assessment methods often rely on static anthropometric measures, which are limited in capturing complex growth patterns. This study aims to develop a robust classification model for predicting the nutritional status of children under five years old, addressing the critical public health challenge of stunting. The model contributes to the growing need for accurate, data-driven early detection systems in child health monitoring by introducing a hybrid framework that combines deep learning and classical machine learning techniques. The proposed approach integrates automatically extracted features from a One-Dimensional Convolutional Neural Network (1D-CNN) with classical anthropometric indicators. These combined features are processed through an additive attention mechanism, highlighting the most informative attributes. The attention-weighted representation is then classified using an ensemble stacking method that aggregates predictions from multiple base classifiers, including decision trees, nearest neighbor algorithms, support vector machines, etc. Synthetic Minority Over-sampling Technique (SMOTE) is applied to the training dataset to mitigate data imbalance, particularly the underrepresentation of severe and moderate malnutrition cases. The research utilizes a dataset comprising 2,789 records of children under five years old collected from community health posts in Indonesia. Data preprocessing included cleaning, normalization, and gender encoding. The model’s performance was evaluated using 5-fold cross-validation and measured by accuracy, precision, recall, and area under the curve metrics. The results show that the proposed model achieved an average accuracy of 99.70% and an area under the curve of 99.99%. An ablation study further demonstrated the significant contribution of each component, feature extraction, fusion mechanism, and ensemble classifier to the final performance. This approach reveals a robust and scalable solution for early nutritional status prediction in healthcare settings.
Co-Authors Ade Iriani Adele Valerry Agata, Kristien Yuni Agus Bambang Nugraha Ahmad Ashifuddin Aqham Akbar, Rifqi Nabil Alexandra, Andrea Cellista Ancilla Nebrisca Valonika Ancilla Nebrisca Valonika Andeka Rocky Tanaamah Angelia Destriana Anggara Cahya Putra Anthony Y.M. Tumimomor April Firman Daru Ardi Kho Ariel Kristianto Arthur, Christian Aruperes, Viveca Grivenda Aryanata Andipradana Baali, Gabriel Megfaden Kenisa Bagaskara, Adyatma Andhika Bambang Ismanto Brilliananta Radix Dewana Chandra Husada Christian Arthur 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 Elshanora Putri Kinasih Fenetiruma Enik Muryanti Estie Grace Melisa Sinulingga Evangs Evi Maria Ezar Juan Muflihanto Ezra Julang Prasetyo Faudisyah, Alfendio Alif Faustin Devanda Gerry Santos Lasatira Gladiola Lavinia Ambayu Gogo Krisatyo Hanna Arini Parhusip Hanna Prillysca Chernovita Hanum, Gilang Kartika Hendri Suryo Prakoso Hendry Hindriyanto Dwi Purnomo Indrajani Sutedja Indrajaya, Denny Irwan Sembiring Jason Evan Hendarko Joanito Agili Lopo Joanito Agili Lopo Johan Jimmy Carter Tambotoh Joseph Teguh Santoso Joshua Rondonuwu Juneth Manuputty Karina Bianca Lewerissa Karina Bianca Lewerissa Kevin Benedictus Simarmata Kevin Stevian Hermawan Kezia Sharent Kodoati Khaizure Mirdad Limbong, Josua Josen Alexander 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 Muhamad Yusup Muhammad Farhan Kamil Muhammad Rizky Ramadhan Muhammad Sholikhan Muhammad Zaki Myra Andriana Nalbraint Wattimena Nicolas Evander Suhandi Nikhlis, Neilin Nina Setiyawati Nining Fitriani Nur Silawati nuranto, bogo Nurrokhman, Nurrokhman Nuzhah Al Waaidhoh Penidas Fodinggo Tanaem 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 Rizky Eka Rolanda Roy Armus Allu Sandy Pratama Saputro, Andreas Arga Rinjani Septian Silvianugroho Sri Yulianto Sri Yulianto Joko Prasetyo Stevan Hamonangan Hardi Suhandi, Nicolas Evander Suharjo, Rahmat Abadi Sulistiawati, Anita Suryasatriya Trihandaru Sutarto Wijono T. Arie Setiawan P Teguh Wahyono Theophilus 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 Wiwien Hadikurniawati Wreda Agung Kuncoro Yedija Sada Ukurta Sinulingga Yessica Nataliani Yohan Maurits Indey