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Made Adi Paramartha Putra
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smart-techno@primakara.ac.id
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Smart Techno (Smart Technology, Informatic and Technopreneurship)
Published by Universitas Primakara
ISSN : -     EISSN : 25410679     DOI : 10.59356
Core Subject : Science,
Computer Science & IT
Jurnal Smart-Techno merupakan jurnal ilmiah dan bersifat terbuka untuk menampung hasil penelitian ilmiah. Jurnal ini bersifat elektronik dengan harapan memungkinkan penyebaran informasi ilmiah tanpa batas ke seluruh wilayan Indonesia. Secara garis besar, Jurnal Smart-Techno menampung hasil karya ilmiah yang berasal dari penelitian di bidang Smart Technology, Informatics and Technopreneurship. Jurnal online ini terbit 2 (dua) kali dalam setahun yaitu pada bulan Februari dan September secara berkala. Adapun topik-topik yang dapat diterbitkan melalui karya ilmiah ini meliputi bidang-bidang (namun tidak terbatas pada): Technopreneurship Digital Start-up Technology Innovation Virtual Reality Data Mining Data Warehousing Matematika Diskrit Teori Graph Artificial Intelligence Natural Language Processing Robotic Image Processing Microcontroller User Experience (UX) Mobile Computing Distributed/Parallel Computing Communication System Network Security Wireless Communication Internet of Things Smart Home Smart City Smart Village Smart System E government E learning
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 6 Documents
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Search results for , issue "article in press" : 6 Documents clear
Implementation of a Web-Based Boarding House and Rental Search and Booking Information System Using the Waterfall Method Irawan, Peri; Sembiring, Falentino; Hidayat, Rahmat
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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Abstract

The rapid development of information technology has increased the need for a more efficient and structured housing search system for students. This study aims to develop an integrated web-based information system for searching and booking boarding houses and rental properties in accordance with user requirements. The development method employed is the Waterfall model, which consists of the stages of Requirement Analysis, System Design, Implementation, and Testing. Data were collected through observations of Facebook social media, questionnaires distributed to 81 students, and interviews with 10 boarding house owners. The system was developed using PHP with the Laravel framework and a MySQL database. System testing was conducted using Black-box Testing and User Acceptance Testing (UAT) involving 20 respondents, resulting in a user satisfaction rate of 87.4%. The findings indicate that the developed system enhances the efficiency of housing searches and facilitates the online booking process. With a structured approach grounded in empirical needs, the system is considered effective and feasible as a web-based solution for searching and booking boarding houses.
The Influence of Smart Technology Experience on Satisfaction Mediated by Generation Z Loyalty in Bali's Tourism and Hospitality Industry
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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This study examines how Smart Technology Experience shapes Generation Z's satisfaction and loyalty to the tourism and hospitality industry in Bali, given the acceleration of digital transformation of services and the high expectations of young tourists for technology-based experiences. This study uses a quantitative approach with an explanatory design through a survey of Generation Z respondents who have experience using smart technology-based tourism and hospitality services in Bali. Data were analyzed using Partial Least Squares–Structural Equation Modeling to test the direct relationship between variables as well as the mediating role of satisfaction. The results of the analysis show that Smart Technology Experience has a positive effect on satisfaction, and satisfaction has a positive effect on loyalty. Smart Technology Experience also has a direct effect on loyalty, so that Generation Z's loyalty is not only formed through satisfaction evaluations, but also through the value of technology experiences that are directly felt. The mediation test indicates that satisfaction mediates the relationship between Smart Technology Experience and loyalty partially. These findings underscore the importance of managing consistent and relevant technology experiences to strengthen satisfaction while building Generation Z loyalty in the context of Bali destinations.
Business Model Design of a Digital-Based Outfit Recommendation Application for Fashion Personalization Wahyudi, Nayla Nakeisha; Ariyani Mutiah Safitri; Darmadi, Anastasia Bella Clarisa; Ridho Aulia Rihhadatul Hudai; Petrus Sokibi
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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The rapid development of the digital fashion industry has increased the demand for personalization in outfit and makeup selection, particularly among Generation Z and millennial women who face time constraints and demonstrate growing awareness of sustainability. Common issues include difficulties in matching clothing according to personal characteristics, low self-confidence due to inappropriate outfit choices, and a tendency toward overconsumption influenced by fast fashion practices. This study aims to design a business model and develop a user interface prototype for the ColorMatch application as an AI-based outfit recommendation platform, utilizing the Business Model Canvas (BMC) framework and the Prototyping development method. A descriptive qualitative approach is employed to analyze the nine elements of the BMC, while the prototyping stages include requirement identification, wireframe design, mockup development, and feedback-based evaluation to produce a user-oriented UI/UX design. The results indicate that ColorMatch offers a value proposition in the form of outfit and makeup recommendations based on seasonal color analysis, mood-based styling, and personal wardrobe optimization. The integration of digital business model approaches, AI technology, and UI/UX design through prototyping results in a platform that is economically viable, responsive to user needs, and supportive of sustainable fashion practices.
Design and Development of the Rescentify Website as a Platform to Support Product Marketing Indrayana, I Kadek Wanna; Putra, I Gede Juliana Eka; Putra, Ida Bagus Ardhi
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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The rapid development of digital technology has encouraged businesses to utilize websites as a primary medium for marketing and information dissemination. Rescentify, a business engaged in environmentally friendly products, requires a digital platform capable of introducing its products, building customer trust, and expanding its marketing reach. Therefore, this study focuses on the design and development of the Rescentify website as a digital information and marketing platform using the Prototype method. This method involves iterative stages, including communication, quick planning, quick design, prototype construction, and delivery and feedback, allowing user requirements to be effectively identified and implemented.The developed website incorporates key features such as a homepage, product catalog, detailed product descriptions, a scent recommendation system (Scent Advisor) based on user mood, article pages, and integrated communication through WhatsApp for transaction purposes. The website design emphasizes a simple and user-friendly interface to enhance usability and accessibility for a wide range of users. In addition, Search Engine Optimization (SEO) techniques and social media integration are applied to improve website visibility and expand digital marketing reach. The results of system testing using the Black Box method indicate that all features function as intended and meet the predefined system requirements. The implementation of the Rescentify website demonstrates its effectiveness as a promotional and information platform, facilitating easy access to product information and improving interaction between customers and the business. Therefore, the website is expected to support more optimal, efficient, and sustainable digital marketing activities, particularly for environmentally friendly products
Evaluating the Performance of the No Language Left Behind Encoder for Sentiment Classification Across Multiple Indonesian Regional Languages Zul Akhyar; Zahnur; Martiwi Sukiakhy, Kikye; Zulfan; Nazaruddin
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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Abstract

This study aims to evaluate the performance of the encoder from the No Language Left Behind (NLLB) model for sentiment classification tasks across several Indonesian regional languages. Originally developed for machine translation, the NLLB model is explored for its ability to generate contextual text representations that are relevant to sentiment classification. The dataset used in this study is NusaX, which comprises 12 languages, including Indonesian, English, and 10 Indonesian regional languages. Two training approaches were employed: fine-tuning, in which all model parameters were updated using sentiment classification data, and partial fine-tuning, in which only the upper layers were updated while the embedding layer was frozen to preserve the original lexical representations. Training was conducted using the AdamW optimization algorithm with CrossEntropyLoss as the loss function and mean pooling as the feature aggregation mechanism. Model performance was evaluated using accuracy and macro F1-score metrics at both the multilingual and per-language levels. The results indicate that the two approaches achieved comparable performance, with an accuracy of 81% and a macro F1-score of 80% on the multilingual dataset. Per-language analysis further revealed that the model performed better on languages that had been included in the original NLLB pretraining data, such as Acehnese, Balinese, Banjarese, Minangkabau, Javanese, and Sundanese, achieving accuracy scores ranging from 79% to 86%. In contrast, several languages that were not covered during NLLB pretraining, including Ngaju, Madurese, and Toba Batak, exhibited slightly lower performance, with accuracy scores ranging from 70% to 78%. These findings demonstrate that the NLLB encoder possesses strong adaptation capabilities for text classification tasks, even in the context of low-resource regional languages.
Implementation of the Naive Bayes Algorithm for Public Sentiment Analysis Toward Power Plant Development Rasyid, Vithan; Ruuhwan
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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This study aims to analyze public sentiment toward power plant development using data collected from the social media platform Twitter. The dataset consisted of 2,493 tweets obtained through a crawling process using keywords related to power plant development, such as “PLTS” and “PLTS Cirata.” The preprocessing stage included cleaning, case folding, stopword removal, tokenization, and stemming using the Sastrawi library to produce more structured textual data. The dataset was then divided into a training set comprising 85% of the data (2,120 tweets) and a testing set comprising 15% (373 tweets). The classification process was performed using the Multinomial Naive Bayes algorithm, as this method is well suited for text data represented by word-frequency features extracted through CountVectorizer. Model evaluation was conducted using a confusion matrix with accuracy, precision, recall, and F1-score as performance metrics. The results showed that the model achieved an accuracy of 75%, indicating that the Multinomial Naive Bayes method is reasonably effective for text-based sentiment classification. Furthermore, the findings revealed that public opinion regarding power plant development is influenced by perceptions of renewable energy benefits, environmental impacts, and government policies.

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