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All Journal Jurnal Informatika Universitas Pamulang International Journal of Computer and Information System (IJCIS) Advance Sustainable Science, Engineering and Technology (ASSET) Electron: Jurnal Ilmiah Teknik Elektro International Journal of Multidisciplinary Sciences and Arts Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Rekayasa Sistem Informasi dan Teknologi Journal of Information Systems Management and Digital Business Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET)
Putri Ariatna Alia
Universitas Anwar Medika
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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PERANCANGAN DESAIN UI/UX KURSUS ONLINE BERBASIS MOBILE MENGGUNAKAN METODE DESIGN THINKING Suryo Prayogo, Johan; Kriswibowo, Rony; Febriana, Rusina Widha; Alia, Putri Ariatna; Setyawan, Agung Budi
Journal of Information Systems Management and Digital Business Vol. 2 No. 2 (2025): Januari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jismdb.v2i2.1904

Abstract

Pada era digital saat ini, Pendidikan berbasis teknologi menjadi solusi untuk meningkatkan aksesibilitas dan kualitas pembelajaran. Serena Sarana Teknologi sebagai perusahaan yang bergerak di bidang teknologi informasi berupaya untuk menyediakan kursus online berbasis mobile yang dapat memenuhi kebutuhan pembelajaran masyarakat. Penelitian ini bertujuan untuk merancang desain UI/UX kursus online yang intuitif dan user friendly. Metode yang digunakan pada penelitian ini adalah Design Thinking, yaitu metode yang berpusat kepada pengguna. Metode Design Thinking mempunyai 5 tahapan, yaitu emphatize, define, ideate, prototyping dan test. Pada tahap emphatize, yaitu peneliti harus berempati untuk menggali informasi dari pengguna. Pada tahap ini peneliti menggunakan in-depth interview untuk mendapatkan pain point, user persona dan user journey map. Pada tahap define adalah menentukan tantangan/challenge menggunakan How Might we. Setelah itu adalah memprioritaskan tantangan/challenge menggunakan Challenge Metrix dan memprioritaskan ide solusi tersebut menggunakan Solution Metrix. Membuat konsep desain lo-fidelity atau wireframe berdasarkan ide solusi yang sudah diprioritaskan. Setelah membuat wireframe (desain lo-fi) lalu membuat desain hi-fidelity berdasarkan desain wireframe yang sudah dibuat. Pada tahap prototype adalah menyelesaikan desain akhir yang nantinya akan dilakukan pengujian kepada pengguna. Desain pada prototype akan dilakukan pengujian kepada pengguna pada tahap test. Metode yang digunakan untuk pengujian adalah System Usability Scale (SUS). Peneliti akan membagikan kuisioner SUS kepada 20 responden. Hasil pengujian pada penelitian ini adalah prototipe desain Kursus Online mendapatkan nilai 78.125, nilai tersebut menyatakan bahwa tingkat penerimaan pengguna pada desain prototipe UI/UX Kursus Online Serena Course adalah acceptable dan berada pada grade B.
Implementation Artificial Intelligence with Natural Language Processing Method to Improve Performance of Digital Product Sales Service Putri Ariatna Alia; Dian Kartika Sari; Nur Azis; Bernadus Gunawan Sudarsono; Purwo Agus Sucipto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.521

Abstract

Improving the performance of digital product sales services is the main focus of the company's attention in the face of increasingly fierce competition in the online market. In order to optimize these services, Artificial Intelligence (AI) technology with the Natural Language Processing (NLP) method is an attractive option. This research aims to find out how the application of AI with Natural Language Processing (NLP) can contribute to improving the performance of digital product sales services. The methods used in this research include collecting data on customer interactions via WhatsApp that have implemented artificial intelligence with the Natural Language Processing (NLP) method. The data is then analyzed using Natural Language Processing (NLP) techniques to understand the needs, preferences, and problems faced by customers. Natural Language Processing (NLP) assists the chatbot in correcting incoming questions if they do not match the database on the question. Differences that can be helped by Natural Language Processing (NLP) if there is inappropriate capitalization, excessive conjunctions. The results show that the application of AI with Natural Language Processing (NLP), can enable companies to be more responsive to customer needs and improve overall customer satisfaction. With in-depth analysis of customers' natural language data, companies can provide more relevant services and empower sales teams to provide faster and more accurate responses. This can be seen from the quality of service results which have a point of 4.1, this value indicates a good response from customers so that the system is considered to have improved sales services by buyers.
The Impact of Website Interactivity on Users’ Speed in Finding Information: Evidence from Indonesia’s Top 5 Universities Setyadi, Agung Teguh; Mufid, Mohammad Robihul; Alia, Putri Ariatna; Fahruddin, Agus; Kriswibowo, Rony
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.245

Abstract

University websites serve as primary sources of information for prospective students and the general public. This study aims to examine the relationship between website interactivity and the efficiency of information retrieval at five of the top ten Indonesian universities according to the QS World University Rankings 2025: ITB, UGM, IPB, ITS, and UI. A total of 30 participants from various universities in Surabaya were asked to complete three types of information search tasks on two different university websites. The time taken to complete each task was recorded using a stopwatch. After completing the tasks, participants completed a questionnaire evaluating their perceptions of the websites' interactivity and ease of use. A Two-Way ANOVA revealed significant effects of university website, task type, and their interaction on task completion time. The findings highlight the crucial role of website structure and interactivity in enhancing users’ efficiency when searching for information. A significant interaction effect was found between website interactivity and task completion time (F = 4.395, p < .05).
Comparative Study of Normalization Methods for DEMNAS Elevation Data to Grayscale Representation for 3D Terrain Visualization Yohan Kartiko, Erik; Teguh Setyadi, Agung; Alfanio Atmoko, Rizky; Suryo Prayogo, Johan; Ariatna Alia, Putri
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6717

Abstract

This study presents a comprehensive comparative analysis of seven normalization techniques applied to DEMNAS (Digital Elevation Model Nasional) elevation data for grayscale image conversion, essential in 3D terrain visualization and 3D printing. The methods compared are Min-Max Scaling, Z-Score Scaling, Logarithmic Transformation, Square Root, Power (Gamma), Sigmoid, and Arctangent normalization. Using QGIS and Python, elevation data were transformed into grayscale images with pixel values ranging from 0 to 255, representing topographic variation. Visual, statistical, and histogram-based analyses reveal that Min-Max scaling and Arctangent normalization provide the most balanced grayscale distribution and topographic contrast. Logarithmic and Gamma methods emphasize lower elevations, while Z-Score and Sigmoid are more centered around mean values. This study confirms that normalization choice significantly affects terrain visualization quality and should be tailored to specific data characteristics and application contexts.
Implementation Open Artificial Intelligence ChattGPT Integrated With Whatsapp Bot Alia, Putri Ariatna; Prayogo, Johan Suryo; Kriswibowo, Rony; Setyadi, Agung Teguh
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17909

Abstract

 The rapid development of internet technology has led to changes in human habits interms of seeking information. Now humans have a tendency to use smartphones to find information, especially by using the WhatsApp application. According to data compiled by creative agency we are social in 2023. Whatsapp is in the top position of the most used application, reaching 92%. Artificial intelligence is used as a tool to create remote services to customers because there are no restrictions on working time and can only be accessed using a smartphone. GPT (Generative Pre-training Transformer) chat technology has the ability to answer questions, as well as understand the context of the conversation and generate meaningful text like a remote conversation with humans. ChattGPT can provide information to users with these capabilities, especially in terms of health. In the research there is an integration process between Chattgpt and Whattsapp, by entering the API (Application Programming Interface) key Chattgpt into Whattsapp with the help of javascript programming language. So that the artificial intelligence system using ChattGPT can be implemented on whattapp.
Implementasi Black Box Testing dan Acceptance Testing Fitur SKKM pada Cybercampus.uam.ac.id Universitas Anwar Medika Kriswibowo, Rony; Prayogo, Johan Suryo; Febriana, Rusina Widha; Alia, Putri Ariatna
Jurnal Informatika Universitas Pamulang Vol 8 No 4 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i4.36904

Abstract

The Student Activity Credit System or abbreviated as (SKKM) recognizes and recognizes the existence of student activities in its development. However, Cybercampus still finds many errors with the SKKM feature, this can be seen from the fact that some students do not understand the SKKM feature. Students have difficulty inputting documents that must be uploaded, then there are some students who cannot access the SKKM feature. Based on existing problems, it is necessary to test applications to minimize functions that do not meet expectations. The scope of Testing is the system and based on the problem that many students do not understand the system, acceptance Testing is needed. Researchers tested the SKKM feature using Black Box Testing to identify which functions were damaged, interface errors, data structure errors, performance errors, initialization errors, and termination errors. Next, the second method uses the Acceptance test to test students' level of understanding and acceptance of the SKKM features on Cybercampus. The results of Black Box Testing showed that there were 12 test scenarios and 1 test scenario that was not suitable. Researchers provide recommendations for system improvements to improve system quality. then by using Acceptance Testing with 3 variables, namely Perceived Ease of Use, Perceived Usefulness, and Acceptance of IT. Then the conclusion from the overall Acceptance Testing was 75%. The conclusion of this research is that the features function as expected well and no major errors were found, so that the SKKM menu on cybercampus.uam.ac.id can be used immediately.
Implementation of Text Processing Techniques on Citizen Opinions Regarding Floods in Surabaya kriswibowo, rony; Alia, Putri Ariatna; Prayogo, Johan Suryo; Febriana, Rusina Widha
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 5 No 1: Jurnal Electron, Mei 2024
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v5i1.148

Abstract

An analysis of residents opinions on flooding in Surabaya is essential to identify their perceptions and aspirations towards this disaster. This can facilitate the making of appropriate flood mitigation policies. The current problem is that it is difficult to retrieve data from X in the form of both users and tweets automatically. So that in some studies that use tweet data becomes less efficient in the data collection process. This research confirmed the use of messages to determine highly impactful disaster zones and showed how tweets can be used to identify oscillations in disaster intensity over time. The topic of this research is to apply the Data Crawling method to obtain datasets on social media X. Then the next method is text preprocessing using Wordcloud, Matplotlib, (NTLK) Natural Language Toolkit, and Sastrawi libraries. In natural language processing, the data to be extracted includes unstructured or “arbitrary” data. In normal dialect preparing (NLP), the information to be extracted includes unstructured or "self-assertive" information.  For future purposes (assumption examination, subject modeling, etc.), such information must be changed over into organized data. The discoveries of the think about can help the organization in comprehending the necessities and inclinations of the people with respect to surges. This article demonstrates how Artificial Intelegence may be applied to text data analysis in order to provide insightful findings. the outcomes of this research can help the government in making more effective policies to overcome flooding in Surabaya
Co-Authors Agung Budi Setyawan, Agung Budi Alfanio Atmoko, Rizky Anita Farida, Elis Bernadus Gunawan Sudarsono Cahyono, Warna Agung Dian Kartika Sari Fahruddin, Agus Fathoni, Mohammad Febriana, Rusina Widha Kartiko, Erik Yohan Kriswibowo, Rony Lieztyanto, Yeeryzkhe Githasari Meisyarani, Jihan Salsabila Mufid, Mohammad Robihul Nur Azis Prayogo, Johan Suryo Purwo Agus Sucipto Rony Kriswibowo Sani, Rosi Rijal Selfya Ningrum Setyadi, Agung Teguh Shodikin, Mohamad Suryo Prayogo, Johan Teguh Setyadi, Agung Widha Febriana, Rusina