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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Information Technology and Telematics Dinamik Sisforma: Journal of Information Systems Proceeding SENDI_U Sistemasi: Jurnal Sistem Informasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Sistem Informasi dan Aplikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) SOSCIED Community Engagement and Emergence Journal (CEEJ) Jurnal Sistem Komputer dan Informatika (JSON) Aiti: Jurnal Teknologi Informasi Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Bestari (JPMB) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Pelita: Jurnal Pengabdian kepada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Kristophorus Hadiono
Universitas Stikubank
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry 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 Public Health Social Sciences Other

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Analisis Penerimaan Teknologi Aplikasi Pemesanan Makanan Gofood dengan Technology Acceptance Model dan Pearson Correlation Munna, Aliyatul; Nugroho, Kristiawan; Hadiono, Kristophorus
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.682

Abstract

Technology has proven itself as a powerful tool to ease human work in many ways, including food ordering technology. GoFood is a popular and innovative food ordering application that has brought convenience and comfort to users in Indonesia. This research aims to analyze the technology acceptance of the Gofood food ordering application using the Technology Acceptance Model (TAM). TAM is a framework used to understand the factors that influence the acceptance and use of technology. In the context of food ordering apps, user acceptance of the app is critical to the success and growth of the business. This research method involves collecting data through online surveys among Gofood application users. Respondents were asked to assess relevant factors in the TAM, including perceived usefulness, perceived ease of use, as well as attitudes toward use and behavioral intention to use. ), and test the correlation between constructs using Pearson correlation. The results of the analysis show that these findings indicate that perceived usefulness and perceived ease of use of the GoFood application contribute to attitudes toward use and interest in utilizing and using the application. .
Pendampingan dan Pelatihan Google Form untuk Evaluasi Kesehatan Balita di Kelurahan Tambakaji Sutanto, Felix Andreas; Hadiono, Kristophorus; Yulianton, Heribertus; Wijaya, Mikhael Putra; Kusuma, Aditya Chandra
Community Engagement and Emergence Journal (CEEJ) Vol. 6 No. 1 (2025): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v6i1.6485

Abstract

Program ini bertujuan untuk memberikan pendampingan dan pelatihan kepada kader kesehatan dan masyarakat di Kelurahan Tambakaji, Kecamatan Ngaliyan, dalam pembuatan Google Form. Google Form digunakan sebagai media evaluasi kesehatan balita, yang membantu mempermudah pengumpulan data kesehatan balita secara digital. Pendekatan ini diharapkan meningkatkan efektivitas pencatatan data kesehatan dan mempercepat analisis informasi yang mendukung pemantauan kesehatan balita di wilayah tersebut. Melalui pelatihan ini, peserta belajar membuat formulir digital untuk memantau indikator kesehatan balita seperti status gizi, riwayat imunisasi, dan perkembangan fisik. Dengan pendampingan yang berkelanjutan, masyarakat setempat diharapkan lebih terampil dalam memanfaatkan teknologi untuk pemantauan kesehatan yang terstruktur dan tepat waktu, sehingga dapat menunjang peningkatan kesehatan balita secara lebih efektif dan berkelanjutan.
Evaluasi empiris model ARIMA dan LSTM dalam konteks peramalan penjualan mobil Toyota Caesar, Yulius Bagus; Hadiono, Kristophorus; Ardhianto, Eka
AITI Vol 22 No 2 (2025)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v22i2.221-235

Abstract

The increasing population and economic growth in major Indonesian cities drive demand for motor vehicles, particularly those of the Toyota brand. However, the fluctuating sales of Toyota from 2011 to 2023 complicate sales planning. This study aims to compare the performance of ARIMA and LSTM forecasting models in predicting Toyota car sales in Indonesia. The data used were obtained from the Association of Indonesian Automotive Industries (GAIKINDO). The results show that the LSTM model performs better than the ARIMA model in forecasting sales. The LSTM model yields lower prediction error values, as indicated by an RMSE of 5,198.40 and a MAPE of 15%, compared to ARIMA, which has an RMSE of 7,769.82 and a MAPE of 16%. Although the MAE of ARIMA is slightly better, at 4501.91, LSTM can minimize large prediction errors, which is evidenced by the significantly lower RMSE compared to ARIMA. The 1% difference in MAPE indicates that LSTM has a smaller percentage of prediction errors. These findings provide important implications for automotive companies in formulating more effective sales strategies. The LSTM model can be a valuable tool for anticipating market trends and making more accurate business decisions.
Rancang Bangun Sistem Informasi Penjualan Bibits Buah Berbasis Framework Laravel Fauzan, Muhammad; Hadiono, Kristophorus
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the business world, creativity is crucial to drive the growth of a business and provide it with a unique value compared to others. One form of creativity is the utilization of a website to expand the reach of product sales. This indirectly affects traditional fruit seedling businesses that rely on conventional methods to promote and sell their products. Moreover, the manual recording of sales and product data poses a risk of losing important information that may be needed at any given time. To address these issues, a website will be developed using the Laravel framework, one of the PHP programming languages. The data retrieval process will employ qualitative methods, while the system development will follow a prototype methodology. By utilizing the prototype methodology, the system development process will run smoothly and achieve the desired outcome, resulting in the creation of the desired application. With this web-based application in place, the fruit seedling business will be able to expand its reach while effectively managing critical data in an organized and secure manner.
Sistem Informasi Persewaan Alat Pesta Tiga Bintang (Dekorin Aja) Berbasis Codeigniter Firmansyah, Annas; Hadiono, Kristophorus
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Three- star party outfit reimbursement is one of the party outfit reimbursement places located in the Ngaliyan area, West Semarang. The party outfit reimbursement offers a variety of outfit, similar as tables, chairpersons, canopies, and much further. Not only party outfit, but there are also marriage packages offered. Those still use the homemade system via WhatsApp contact or coming directly to the proprietor's house. Thus it'll impact The period during which the consumer receives schedules, pricing information, and facilities provided by the owner. To solve these problems we must evolve a web-based service system party outfit reimbursement, which aims to help bridge the proprietor if there are any incoming orders to avoid lapping with the schedule and get data snappily. The system erected uses Bootstrap, the CodeIgniter frame, and a MySQL database as data storehouse for the rental reports. And they're using the Waterfall model in making the design inflow and using black box testing. Creating a web- grounded service system for three- star party outfit reimbursement is anticipated to maximize presto and accurate service in propagating provide a wide range of easy-to-understand information for consumers order party outfit.
Analysis of Changes in Learning Patterns Before and During the Covid-19 Pandemic using Descriptive Statistical Methods Ningrum, Yulika Pramesti; Hadiono, Kristophorus
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): 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.v12i3.2938

Abstract

In early 2020, the world was faced with the Covid-19 pandemic. The biggest impact of the pandemic was felt by the education sector, which prompted the government to develop an online learning program. This online learning will certainly affect student learning patterns. This study aims to determine changes in learning patterns that occurred before and during the Covid-19 pandemic. This research involved students of Stikubank University Semarang, Faculty of Information Technology and Industry class of 2019. The data obtained was analyzed statistically descriptive quantitatively including calculations of mean, median, standard deviation, validity tests, reliability tests, and graphs using R language. Based on the results of validity tests and reliability test, all indicators are valid and reliable. The results of the descriptive analysis of the indicator tests show that learning patterns decreased between before and during the Covid-19 pandemic. The indicator for planning learning activities has changed to the sub-indicator bringing reference books. The indicators for participating in learning activities also changed in the sub-indicator present before lectures. The indicators for making schedules and study notes also underwent changes in the sub-indicators for making notes/summaries of material which decreased significantly. The indicator for taking the exam also experienced a change in the sub-indicator for studying with friends. While the learning evaluation indicators also experienced changes in the sub-indicators working on practice questions.
Usability Sentiment Analysis Menggunakan Metode SUMI, NLP Scikit-Learn pada Aplikasi New Sakpole Aminudin, Agus; Hadiono, Kristophorus; Nugroho, Kristiawan
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 2 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i2.5451

Abstract

This research will discuss issues related to how to evaluate the usability and Sentiment Analysis aspects of the New Sakpole application system, how to determine the level of user satisfaction in using the New Sakpole mobile application and to determine sentiment analysis based on the results of analysis using the SUMI and NLP tools. The research objective is based on the formulation of existing problems to provide usability aspect values for the development of the New Sakpole mobile application and generate recommendations for improvement and determine the level of positive and negative sentiment analysis by using the New Sakpole Application as a medium for paying Motor Vehicle Tax. The test uses the Software Usability Measurement Inventory (SUMI) tool, the New Sakpole mobile application system, which is very helpful and can provide value to the community in the online vehicle tax payment process. This can be seen and obtained from a scale of helpfulness and efficiency resulting from a maximum score of 100 with an average score of 101 and 86.2. The results of the test using the SUMI tool, all average aspects get above average results, so the level of usability that occurs is that the use of New Sakpole has worked and is running well. The test uses Scikit-Learn Natural Language Processing (NLP) that the results of processing the review dataset on the New Sakpole Application from the Google Play Store with a total of 4704 reviews and a sampling of 500 reviews, that the response or reviews of the community using the New Sakpole application are negative even though for Acuracy word (words) that conveyed a review of 80.90%. From the results of the sample data test that index 0 is negative so that the words "good, very enlightening" can be concluded with Sentiment is 1 (POSITIVE)".
Pendampingan dan Pelatihan Peningkatan Pengetahuan Tata Kelola Administrasi Keuangan Santi, Rina Candra Noor; Yulianton, Heribertus; Eniyati, Sri; Sutanto, Felix Andreas; Hadiono, Kristophorus
Pelita: Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 3 (2023): Pelita: Jurnal Pengabdian kepada Masyarakat
Publisher : Perkumpulan Kualitama Edukatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51651/pjpm.v3i3.353

Abstract

This growing technology, lots of applications and notifications that are growing every year. With the existence of increasingly developing technology, there are many problems that exist. The problem that often occurs in the finance department is that when recording financial data, it often experiences delays in calculating deficiencies, excesses or the percentage profit obtained. Likewise, when searching for data, it often encounters problems if there are some data that need to be revised. This is what often happens to savings and loans at Dawis Melati, because the records are still manual.
Edukasi Pendampingan Pengolahan Data Lansia dengan Menggunakan Microsoft Excel Bagi Dawis Pokja Tomat Santi, Rina Candra Noor; Eniyati, Sri; Sutanto, Felix Andreas; Hadiono, Kristophorus
Community Engagement and Emergence Journal (CEEJ) Vol. 4 No. 2 (2023): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v4i2.3353

Abstract

Posyandu Lansia adalah pos pelayanan terpadu untuk masyarakat yang berusia lanjut disuatu wilayah. Pos pelayanan ini bertujuan untuk meningkatkan  kesehatan lansia sehingga akan terwujud masa tua yang sehat. Pengecekan rutin yang dilakukan para lansia akan meningkatkan kesehatannya. Pengecekan ini akan didata dan ditulis oleh para sukarelawan dari beberapa wilayah RT/RW dengan cara manual yang biasanya dituliskan dalam sebuah buku. Kendala atau permasalahan yang terjadi adalah seringnya para lansia lupa untuk membawa buku kesehatannya. Dari permasalahan tersebut sehingga perlu membuat data kesehatan lansia tersebut dimasukkan kedalam sebuah system yaitu Microsoft excel, dan perlu adanya edukasi tentang penggunaan komputer oleh para sukarelawan dari Pokja Dawis. Karena dengan menggunakan system komputer, untuk pelacakan data atau pencarian data akan mudah dilakukan.
Perbandingan Metode Perhitungan Jarak pada Nilai Centroid dan Pengelompokan Data Menggunakan K-Means Clustering Budi Hartono; Sri Eniyati; Kristophorus Hadiono
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 3 (2023): Maret 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.6021

Abstract

This study will observe the process of grouping data or forming clusters using K-Means clusters with three methods of measuring distances, namely Euclidean distance, Manhattan distance, and Minkowski distance. Observations are more focused on changing the centroid value and the results of grouping data, as well as the number of iterations required. Experimental data amounted to 20, 30, 40, and 50 pieces of data which were grouped into 2 groups. This research also summarizes the application of K-Means clusters which have been widely used in various fields, including Health, Education, and Disaster. The results of grouping data with the three distance measurement methods are not too much different, namely the highest difference is 2 members of the data on 50 test data. The most iterations on 40 test data use the Euclidean distance, namely 7 iterations, and the least iteration on 20 test data uses Minkowski distance i.e. 3 iterations. On the 50 test data it takes 4 iterations. The amount of test data is not directly proportional to the number of iterations needed to reach the cluster in a stable state.
Co-Authors ., Agnes Widyaningrum Aditya Chandra Kusuma Agnes Widyaningrum Aminudin, Agus Antono Adhi Anwar, Muchamad Taufiq Asania Fatma Cahyawati Budi Hartono Caesar, Yulius Bagus Christanto, Zaenur Dwi Damaryanti, Rr Fitri Damaryanti, Rr. Fitri Dhendra Marutho Dian Kristiawan Nugroho Dwi Agus Diartono Dwi Budi Santoso Eka Ardhianto Eko Nur Wahyudi Eko Prasetyo Farooq, Omar Felix Andreas Sutanto Felix Andreas Sutanto Felix Andreas Sutanto Firmansyah, Annas Hari Murti Heribertus Yulianton Irawan, Yoan Freddy Karlina Mulya Febianti Kusuma, Aditya Chandra Laksono Trisnantoro MATOVANI, DIO Mikhael Putra Wijaya Muhammad fauzan Munna, Aliyatul Ningrum, Yulika Pramesti Novita Mariana Oktaviani Risqi, Vita Rina Candra Noor Santi Rina Candra NS Rindu Pridiqva Azzahra Rosida, Adis Amatulia RR. Ella Evrita Hestiandari Silamantha, Wiendha Artieka Singh, Narinderjit Singh Sawaran Sri Eniyati Sulastri Sulastri SUTANTO, FELIX Wafi Arifin Wijaya, Mikhael Putra Wismarini, Th Dwiati