Article Per Year (5 Year)
p-Index From 2020 - 2025
3.143
P-Index
This Author published in this journals
All Journal Jurnal Informatika Universitas Pamulang Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Journal of Information System,Graphics, Hospitality and Technology Zonasi: Jurnal Sistem Informasi Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Jurnal Informatika dan Sistem Informasi Teknika Journal of Applied Data Sciences Abdiformatika: Jurnal Pengabdian Masyarakat Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Yosua Setyawan Soekamto
Universitas Ciputra
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 17 Documents
Search

 1   2 
Enhancing Online Batik Shopping Experience through Live Streaming Commerce and the LYFY Application Wiradinata, Trianggoro; Wibowo, Wilbert Bryan; Oktian, Yustus Eko; Maryati, Indra; Soekamto, Yosua Setyawan
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.504

Abstract

Online batik shopping often results in buyer dissatisfaction due to discrepancies between product descriptions and the actual items received. Static images and text on e-marketplace platforms are insufficient to convey the intricate details of batik designs, leading to mismatches in customer expectations. To mitigate this issue, Live Streaming Commerce (LSC) features, such as those on Shopee Live, allow sellers to showcase products in real-time, providing more accurate representations. However, sellers face challenges in managing overwhelming volume of comments during live streams, making it difficult to prioritize important queries. LYFY, a comment management app developed to streamline these interactions, aims to address this problem by improving the quality of interaction between live streamers and prospective buyers through filtering important comments. This study examines the determinants affecting the adoption of LYFY by online batik vendors. The research integrates the Task-Technology Fit (TTF), Technology Acceptance Model (TAM), and Expectation-Confirmation Model (ECM) frameworks to evaluate LYFY's performance in fulfilling user requirements. Data were collected from 243 respondents with LSC experience, and the research model underwent evaluation through Partial Least Squares Structural Equation Modeling (PLS-SEM). The measurement model exhibited high reliability and validity, with values surpassing the suggested thresholds, thereby providing solid support for subsequent analysis. Key factors such as TTF, confirmation, perceived usefulness, ease of use, and satisfaction were examined to determine their impact on user adoption. The analysis revealed that TTF has the strongest influence on confirmation, perceived usefulness, satisfaction, and individual performance. Additionally, perceived ease of use and confirmation substantially influence continuance intentions and satisfaction. These results suggest that enhancing LYFY's task-technology fit and simplifying its user interface are crucial for improving user satisfaction and adoption. By addressing these areas, LYFY can better support live stream sellers, reduce product expectation discrepancies, and improve overall customer experience, particularly in the online batik market.
LyFy: Enhancing Batik E-Commerce Live Streaming Through Real-Time Chat Filtering and Product Recommendation Oktian, Yustus Eko; Setiawan, Eugene Abigail; Wiradinata, Trianggoro; Maryati, Indra; Soekamto, Yosua Setyawan
Teknika Vol. 14 No. 1 (2025): March 2025
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v14i1.1104

Abstract

Live streaming has emerged as an essential tool for e-commerce, allowing sellers to engage with potential customers in real-time. However, the massive influx of comments during these sessions often includes a mix of useful product-related queries and irrelevant or distracting messages, which can overwhelm the presenter and reduce the effectiveness of the stream. In this paper, we propose LyFy, a browser-based extension designed to filter live chat messages and provide personalized product recommendations in real-time, specifically applied in Batik e-commerce to support the preservation and promotion of this unique cultural heritage of Indonesia. Our system uses a combination of natural language processing (NLP) and machine learning models to identify relevant comments, group similar queries, and offer product suggestions based on viewers' interests. We demonstrate the effectiveness of this system through a prototype implementation and evaluate its performance with qualitative feedback from streamers and users. The evaluation results indicate high user satisfaction, with over 51% of respondents rating LyFy as highly effective and 52% as highly efficient, making it a valuable tool for enhancing e-commerce live streaming interactions.
Rancang Bangun Aplikasi Koleksi Resep Makanan Berbasis Sistem Operasi iPhone Jessica Wienadi; Yosua Setyawan Soekamto
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 3 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i3.5140

Abstract

Food is a necessity that is needed by anyone. One way to obtain food is to cook. Many people choose to cook their own food, even more so during the Covid-19 pandemic which caused cooking preferences to increase. One of the things used when cooking is recipes. Recipes need to be saved for easy reuse. Hence built a food recipe collection app that helps store recipes on mobile devices. The application is built on iOS. To find out the problems and needs in recipe saving, interviews were conducted, and problems were found regarding separated storing location and diverse storing format, limited search capabilities on current saving method, time-consuming input processes, and disturbing automatic-lock on device. Analysis of similar applications were also conducted and found shortcomings related to the flow and application interface. Based on these results, the application is designed with two main features, namely recipe storage and cooking mode. In recipe storage, users can add, change, and delete recipes. Once a recipe is saved, users can view a list of saved recipes, view recipes by category, and search for recipes by title. In cooking mode, users are given a checklist to prepare ingredients and then given a step-by-step. Application development uses the Swift programming language, with Swift User Interface to build the app's interface. Application data is stored locally using Core Data. Testing of application implementation results is carried out using alpha test and beta test. Alpha tests are performed using black-box test, to ensure the accuracy of inputs and outputs of various application functions. The beta test is done by conducting application trials and interviews with cooks to ensure application usability and to obtain feedbacks from users. Based on the test results, all functions in the application run as expected and this application helps users save food recipe collection.
COMPARATIVE FACTOR ANALYSIS OF E-LEARNING AND GOOGLE SITES ADOPTION AS FINAL PROJECT INFORMATION PORTALS USING TAM Catharina Adinda Mega Cahyani; Pramono, Terrence; Aldi Satria Mahotma, I Putu; Hidajat, Calvin Chandra; Lim, Alex Sander; Soekamto, Yosua Setyawan
ZONAsi: Jurnal Sistem Informasi Vol. 5 No. 3 (2023): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2023
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v5i3.13390

Abstract

Final Project is a scientific project that is structured based on the application of science and technology. For now, information about the final project can be accessed on the e-learning website. However, several problems were found in the use of e-learning as a source of information regarding the final project. For example, information regarding the final project must be re-uploaded every year even though there is a course that is similar to the final project course in the previous semester. Departing from the problems above, lecturers at the Faculty of Information Technology, Ciputra University finally made new innovations. The innovation is to build a static website to access information about the final project. The website uses Google Sites. This study uses the TAM (Technology Acceptance Model) analysis method. The author conducted a survey about the website usage to the students in the Program from the class of 2016 to 2019. The sampling method used was purposive sampling. Purposive sampling was used in this study because the researchers needed specific respondents, namely SIFT students who had taken the final assignment course. This study uses the regression model to analyze the relationship between intention to use and other constructs in the adoption of e-learning as an information portal for the Final Project. Researchers use the regression model on the adoption of e-learning and google sites. The model gets a value of 0.852 and 0.905 respectively.
SISTEM INFORMASI BERBASIS WEB UNTUK PENILAIAN TUGAS AKHIR BERBASIS RUBRIK Soekamto, Yosua Setyawan; William, William; Florence Statriani, Putu Denisa; Senarto, Clifton; Thauwrisan, Bryant Anthony; Tanojo, Jonathan Isaac
ZONAsi: Jurnal Sistem Informasi Vol. 5 No. 2 (2023): Publication Periodic ZONAsi: Jurnal Sistem Informasi.
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v5i2.13860

Abstract

Dalam mata kuliah Tugas Akhir di pendidikan tinggi, seringkali terjadi penilaian yang subjektif karena berbagai hal. Untuk menghindari subjektifitas penilaian Tugas Akhir maka dinilai dengan metode peer assessment atau penilaian dengan jumlah jamak dan sebaiknya dinilai dengan bentuk rubrik. Permasalahan yang muncul dari penilaian berbentuk rubrik adalah kesulitan menyusun dan mengukur indikator kesuksesan setiap kriterianya. Permasalahan lain yang muncul adalah metode peer assessment membutuhkan sinkronisasi dan kolaborasi dari seluruh penilai di saat yang bersamaan agar penilaian yang dilakukan tidak bias. Penelitian ini bertujuan menghasilkan sebuah aplikasi sistem informasi penilaian mata kuliah tugas akhir, yang terintegrasi dan menerapkan penilaian berbasis rubrik. Oleh sebab itu dipilih aplikasi berbasis web sehingga dapat dilakukan secara integrasi antar penilai, kemudian dibangun desain sistem yang memadai untuk penilaian berbasis rubrik tersebut. Dalam penelitian ini diterapkan kaidah software engineering dan metode prototyping. Hasil uji coba dengan black box testing menunjukkan penelitian ini berhasil menjawab permasalahan yang ada dengan baik.
PEMBUATAN APLIKASI POINT OF SALES BERBASIS IPHONE OPERATING SYSTEM UNTUK UD. SINAR MAS: DEVELOPMENT OF IOS-BASED POS APPLICATIONS FOR UD. SINAR MAS Wijangga, Hanjaya; Soekamto, Yosua Setyawan
ZONAsi: Jurnal Sistem Informasi Vol. 5 No. 3 (2023): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2023
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v5i3.14814

Abstract

UD. Sinar Mas is a distribution company selling chemicals. UD. Sinar Mas records transactions using methods that are still manual or traditional. Where is the transaction method at UD. Sinar Mas also has several kinds of transaction systems such as receivables, debts, and there is also a barter sales of jerry cans, customers bring their own drums, or leave the drums with UD. Sinar Mas. The recording method in UD transactions. Sinar Mas, namely recording supplier names, recording customer names, sales transaction dates, purchase transaction dates, maturity dates. Because many transaction systems are recorded, it causes user errors such as missing notes, viewing the due date as well as errors in recording the due date when to collect debts, then how much customer debt remains, whether the goods have been sent by the customer or not, wrong mention of the price to a particular customer , an incorrect calculation of the amount sent is sometimes too less or too much, where the most fatal is the incorrect mention of the price to the customer because there are several customers whose prices are differentiated because of certain cases such as customers who have subscribed for a long time and also the remaining stock counting system which is still manual using approximate method so that it cannot produce a definite stock. The method that will be used for solving the problem is by creating an IOS-based application to help record transactions in UD. Sinar Mas. The result of this application is in the form of a cashier application that can record expenses, income and others. The purpose of this research is to help UD companies. Sinar Mas to record transactions more easily. From this problem, the author's solution is to design and design an iOS-based POS application. The POS application is made on the iOS platform because the owner of UD. Sinar Mas uses iOS as the main device. To save the data will be stored in SQL. The test is carried out using the UMUX method. The results of the test can be concluded that the resulting score is quite good. However, in the application test, there were a few obstacles, such as users experiencing confusion when pressing buttons and so on. Apart from that it runs pretty smoothly. The features that have been implemented have met the needs of the user.
Information Extraction Pada Pesanan Pembelian Menggunakan RetinaNet dan Tesseract untuk Toko Maju Hartono, Eillen; Soekamto, Yosua Setyawan
Journal of Information System,Graphics, Hospitality and Technology Vol. 6 No. 2 (2024): Journal of Information System, Graphics, Hospitality and Technology
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37823/insight.v6i2.315

Abstract

Proses jual beli berubah mengikuti perkembangan zaman. Kini, proses transaksi dapat dilakukan dengan sistem pemesanan yang diikuti dengan dokumen pesanan pembelian. Melalui pesanan pembelian, pengusaha dapat memperoleh banyak informasi untuk analisis bisnis. Akan tetapi, banyak dari pengusaha retail masih belum menyimpan data tersebut secara terstruktur, sehingga sulit untuk melakukan analisis dan pelacakan. Meskipun banyak dari pesanan pembelian telah berbentuk digital seperti PDF, pencatatan terstruktur bersumber dari dokumen digital masih memerlukan upaya dalam waktu dan usaha, serta rawan kesalahan jika dilakukan secara manual oleh manusia. Penelitian ini bertujuan untuk membuat model information extraction dari pesanan pembelian berbentuk PDF. Alur kerja dari penelitian ini dimulai dengan pengumpulan data, data pre-processing, information extraction, evaluasi, dan penyimpanan kedalam database. Data yang digunakan pada penelitian ini adalah pesanan pembelian dari “Toko Maju” yang berbentuk PDF. Pesanan pembelian akan dirubah ke format JPEG, sebelum dilakukan proses pelabelan dan pembentukan bounding boxes. Proses information extraction meliputi proses object detection dan OCR. Object detection akan menggunakan model Keras RetinaNet. Setelah letak daerah ekstraksi ditemukan, maka akan dilakukan deteksi karakter atau OCR dengan menggunakan library Tesseract. Informasi hasil ekstraksi akan disimpan ke database MySQL. Model information extraction memperoleh nilai confidence sebesar 95.6% dan nilai accuracy sebesar 95.5%.
Co-Authors Adi Suryaputra Paramita Aldi Satria Mahotma, I Putu Ammar Catharina Adinda Mega Cahyani christian christian Citra, Caecilia Citra Daniel Martomanggolo Wonohadidjojo Edwin Kurniawan Felicia Graciella Florence Statriani, Putu Denisa Hartono, Eillen Hidajat, Calvin Chandra Indra Maryati Jessica Wienadi Kartika Gianina Tileng Lim, Alex Sander Michelle Chandra Pramono, Terrence Rinabi Tanamal Senarto, Clifton Setiawan, Eugene Abigail Sutanto, Richard Evan Tanojo, Jonathan Isaac Thauwrisan, Bryant Anthony Theresia Ratih Dewi Saputri Trianggoro Wiradinata Wibowo, Wilbert Bryan Wienadi, Jessica Wijangga, Hanjaya William William William Yustus Eko Oktian