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TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27227987     DOI : -
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Jurnal TIN: TERAPAN INFORMATIKA NUSANTARA memuat tentang Kajian Bunga Rampai dari berbagai ide dan hasil penelitian para peneliti, mahasiswa, dan dosen yang berkompeten di bidangnya dari berbagai disiplin ilmu seperti: Komputer, Informatika, Industri, Elektro, Telekomunikasi, Kesehatan, Agama, Pertanian, Pembelajaran, Pendidikan, Teknologi Pendidikan, Ekonomi dan Bisnis, Manajemen, Akuntansi, dan Hukum
Arjuna Subject : Umum - Umum
Articles 12 Documents
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Search results for , issue "Vol 6 No 3 (2025): August 2025" : 12 Documents clear
Media Pembelajaran Berbasis Android Pada Materi Fotografi Dasar Nasruha, Muhammad Khalish; Akhyar, Ramaulvi Muhammad
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.7537

Abstract

This research created an Android-based learning media product using the iSpring Suite to evaluate its feasibility before implementing it in the program's basic subjects for students in class X-DKV. The production of this learning media product categorizes research as a development study or R&D, using the 4D development paradigm. Data is collected through observation, interviews, and questionnaires, then analyzed using quantitative descriptive analysis. This study involved 2 media experts, 1 material expert, and 14 students of class X-DKV as product test subjects. Based on the results of the feasibility validation and trial of android-based learning media products by media experts, material experts and students, the results were very feasible. The average value of material feasibility validation is 54 more than 50.4 including the "Very Feasible" category. The average value of media feasibility validation is 51 more than 50.4 including the category "Very Feasible". The average value of the product trial was 56.6 more than 54.6 in the "Very Feasible" category. The overall average score of the feasibility test and product trial was 53.9 more than 51.8, so that this android-based learning media has a feasibility category of "Very Feasible". This research is sufficient on the feasibility of learning media only, for further research can be carried out on the effectiveness of Android-based learning media in the basic learning of the Photography Material Program, in addition to that the development of more varied learning media, both materials, and developer platforms used.
Analisis dan Perancangan Sales Monitoring System Menggunakan Metode Rapid Application Development Nurmiati, Evy; Azizah, Hafidh; Kamil, Musthafa
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8110

Abstract

In this competitive digital era, companies are required to have information systems that can support quick and accurate decision making. PT. ABC is one of the companies facing several challenges in managing sales division activities, which are still carried out manually using spreadsheets. This causes difficulties in monitoring sales performance in real time, increases the risk of data duplication, and reduces the effectiveness of strategic decision making. This study aims to analyze and design a web-based sales monitoring system to support the company's strategic decision-making. The research method used is Rapid Application Development (RAD) with data collection methods including observation, interviews, and literature review, as well as PIECES analysis to evaluate the weaknesses of the current system, and the MoSCoW method to prioritize system features. The results of this research include a system design comprising an interactive dashboard, sales activity recording, team structure management, target setting, and structured reporting. The system is designed using the UML modeling language, which includes use cases, activity diagrams, sequence diagrams, and class diagrams, as well as a user interface prototype.
Pengaruh Modal Usaha, Lokasi Usaha, dan Lama Usaha Terhadap Pendapatan UMKM Putri, Berliana; Fietroh, Muhammad Nur
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8143

Abstract

This study aims to analyze the influence of business capital, business location, and business duration on the income of Micro, Small, and Medium Enterprises (MSMEs) in Sumbawa Regency. Using a quantitative approach with a causal-explanatory design, this study applies multiple linear regression analysis to test the relationship between variables. A total of 100 MSME respondents were selected through proportional random sampling technique from a population of 1632 business units. Data were collected using a structured questionnaire and have been tested for validity through the classical assumption test. The results showed that business capital (t = 3.689; p < 0.05), business location (t = 4.572; p < 0.05), and business duration (t = 4.045; p < 0.05) each have a positive and significant effect on MSME income. Among the three, business location is the most dominant factor with the highest beta coefficient (β = 0.318), indicating that strategic geographic location has a stronger influence on increasing income compared to capital (β = 0.256) and business duration (β = 0.287). The implication of this finding suggests that external factors such as accessibility and market reach can be more decisive in determining business success. This study fills a gap in the literature by providing local context-based empirical evidence regarding the factors that influence MSME income, particularly in non-metropolitan areas such as Sumbawa. The results provide valuable recommendations for local governments, financial institutions, and MSME actors in designing inclusive economic development strategies.
Analisis Pengaruh Online Customer Review dan Online Customer Rating Terhadap Keputusan Pembelian Mahasiswa di Tiktok Shop Agussalim, Muhammad Ilham; B., Sofyan; Yakub, Rahman; Rusdi, Muhammad
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8149

Abstract

This study was conducted with the aim of determining the extent of the influence of online customer reviews and customer ratings on product purchasing decisions at TikTok Shop, especially among students of the Faculty of Economics and Business, Muhammadiyah University of Sidenreng Rappang. In this study, researchers used a quantitative approach with descriptive methods to obtain an objective picture based on numerical data. Data were collected through distributing questionnaires using a Likert Scale to 75 respondents who had used TikTok Shop as an online shopping platform. To process and analyze the data, multiple linear regression analysis techniques were used with the help of SPSS v.26 software, which allows researchers to test the relationship between variables simultaneously or partially more accurately and systematically. The results showed that online customer reviews have a positive and significant influence on purchasing decisions, with a t-value of 3.100 and a significance of 0.003. Meanwhile, online customer ratings also have a significant effect with a t-value of 4.748 and a significance of 0.000. Both variables simultaneously exerted a significant influence on purchasing decisions, with an F-value of 29.574 and a coefficient of determination (R²) of 0.451. This indicates that 45.1% of the variation in purchasing decisions can be explained by these two variables. This finding confirms that customer reviews and ratings are a primary reference in digital purchasing decisions, particularly on e-commerce-based social media platforms like TikTok Shop.
Optimizing Contextual Features for Instagram Engagement Prediction using Long Short-Term Memory (LSTM) Aswad, Hazrul; Mulyana, Dadang Iskandar; Kastum, Kastum
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8166

Abstract

Instagram has become an important communication medium for academic institutions, enabling the dissemination of information, promotion of activities, and engagement with the campus community. At STIKOM CKI Jakarta, the official Instagram account plays a key role in academic communication, making it essential to optimize content strategies for higher audience interaction. This study analyzes 311 publicly available posts collected from July 2023 to July 2025 from the institution’s official account. Although relatively small for deep learning, the dataset provides representative patterns for the case study while highlighting the model’s capability under limited data conditions. A predictive framework based on Long Short-Term Memory (LSTM) was developed by integrating textual features from captions with contextual features such as posting time, content type, hashtag count, and interaction metrics. The aim is to accurately estimate engagement scores and provide actionable posting recommendations. The evaluation achieved an R² of 88.00%, MAE of 0.0450, and RMSE of 0.0720, indicating strong predictive performance. The contribution of this research lies in demonstrating that optimizing contextual features can significantly enhance academic social media engagement and in providing an adaptable methodology for institutions with limited historical data.
Kajian Literatur Sistematis Terhadap Aplikasi Mobile Verifikasi Produk Halal: Analisis Metode, Fitur, dan Potensi Inovasi Rasyadi, M Javier; Kurniawardhani, Arrie
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8174

Abstract

The rapid growth of the global halal industry has intensified the demand for efficient, transparent, and easily accessible halal product verification methods. This research aims to identify and analyze the commonly used verification methods in halal mobile applications and to evaluate their core and additional features available publicly on the Google Play Store. Using a systematic literature review combined with content analysis of eleven selected mobile applications, this study provides a comprehensive overview of the current digital halal application ecosystem. The findings of this research indicate that barcode scanning is the most dominant method due to its efficiency and ease of use. However, this method has limitations in providing transparent product ingredient details, necessitating support from Optical Character Recognition (OCR) technology for deeper ingredient analysis. A hybrid approach combining barcode, OCR, and manual input was found to be the most optimal, providing application flexibility and resilience across various usage scenarios. Furthermore, regarding application features, this study discovered that additional functionalities such as scan history, fatwa references, user reporting, and ingredient translation remain underutilized, despite being crucial for enhancing user trust and halal literacy. This research provides essential implications for application developers, users, and regulators toward establishing an inclusive and trustworthy halal digital ecosystem.
Peran Kecerdasan Buatan dalam Inovasi Instrumen Keuangan Hijau untuk Pembangunan Berkelanjutan Giovanni, Axel; Dewantara, Ghiyats Furqan; Musthafa, Afif; Hartono, Budi; Putri, Namira Rahma; Fadlilah, 'Atikah Nur; Witantri, Galuh; Kurniasari, Erika
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8176

Abstract

Climate change is driving the urgency of transitioning to a low-carbon economy. In this regard, green finance is an important instrument in mitigating climate change. However, the implementation of green finance faces challenges such as data complexity, information asymmetry, and the risk of greenwashing. This study aims to systematically examine the role of artificial intelligence (AI) in expanding the adoption, effectiveness, and innovation of green finance instruments among stakeholders. The method used is a Systematic Literature Review (SLR) of 61 articles from the Scopus database, analyzed using the PICo framework and CASP quality assessment. The results of the study indicate that AI can fundamentally support 1) stakeholder needs and challenges, 2) accuracy, transparency, and efficiency, and 3) mitigating the risk of greenwashing. Stakeholder needs and challenges can be addressed by AI through improved accuracy in risk prediction and market analysis, as well as optimizing green portfolios. AI mechanisms have proven capable of improving accuracy through advanced predictive models, strengthening transparency with Explainable AI (XAI) and blockchain, and driving efficiency through automation and resource optimization. Significantly, AI integration strengthens the positive impact of sustainable investments and serves as a powerful mitigation tool against greenwashing risks by objectively verifying environmental claims and enhancing accountability. AI emerges as a transformative technology to accelerate an effective and credible green financial ecosystem.
Hubungan antara OHIS dengan Kebutuhan Perawatan Periodontal Pasien Skizofrenia di RS Jiwa Dirman, Rezki; Asnuddin, Asnuddin; Sakinah, Sri; Laiya, Nova; Zulkaidah, Utari
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8182

Abstract

It is important to prioritize oral health as an important component of overall medical care. Patients with mental illnesses are particularly susceptible to oral diseases, especially when hospitalized. Factors such as the type of psychiatric illness, length of treatment, and side effects of treatment can affect their oral health. Additionally, behaviors associated with mental illness, such as alcoholism, drug abuse, and smoking, can further exacerbate oral health problems in this population. The purpose of the study was to determine the relationship between oral hygiene and periodontal care needs in schizophrenia patients in the male inpatient room of the Prof. DR. V.L Ratumbuysang Mental Hospital, North Sulawesi Province. This type of research uses an analytical observational design with a cross-sectional approach. This research was conducted in the male inpatient room of RSJ Prof. Dr. V.L. Ratumbuysang in June-July 2024. The study population was all male schizophrenia patients who were treated in the inpatient room of Prof. Dr. V.L. Ratumbuysang Hospital which amounted to 85 patients. Samples were taken using the Total Sampling Technique with the criteria that the patient was calm and cooperative when the examination was carried out. It was found that 60 samples met the inclusion and exclusion criteria. Then the results of the study found a relationship between oral hygiene and the need for periodontal care of schizophrenia patients in the male inpatient room of Prof. Dr. V. L. Ratumbuysang Manado Hospital. The correlation coefficient value obtained was 0.896, meaning that the hygiene strength of the oral cavity and the need for periodontal care of schizophrenia patients were strong.
Sentiment Analysis of Public Opinion on Facebook Monetization in Social Media Using the SVM Algorithm Nurmaiyah, Nurmaiyah; Lubis, Aidil Halim
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8210

Abstract

Sentiment analysis on Facebook’s monetization policy has become a significant topic in the era of rapid digital transformation. This study examines public opinion on the policy by analyzing TikTok user comments that specifically discuss Facebook monetization. TikTok was chosen as the data source because it reflects spontaneous and real-time public reactions, including discussions about other platform policies. A total of 5,000 TikTok comments were collected using web scraping techniques. The data underwent several preprocessing stages, including text cleaning, tokenization, normalization, stopword removal, and stemming. Sentiment labeling was carried out using the Indonesian Sentiment Lexicon (InSet), while feature extraction employed the Term Frequency–Inverse Document Frequency (TF-IDF) method. The classification process was conducted using the Support Vector Machine (SVM) algorithm with a linear kernel. The dataset was split into training and testing sets with an 80:20 ratio. The classification achieved an accuracy of 80%, with a precision of 80% for both positive and negative sentiments, recall scores of 81% and 79%, and F1-scores of 81% and 79%, respectively. These findings demonstrate that integrating TF-IDF weighting with the SVM algorithm is effective for automatically classifying public sentiment toward social media monetization policies. Furthermore, this study provides insights into public reactions to Facebook monetization from the perspective of TikTok users, thereby contributing to an understanding of how monetization policies influence user sentiment on social media platforms.
Evaluasi Usabilitas Aplikasi “SIGERAK” Sebagai Media Pembelajaran Interaktif Menggunakan System Usability Scale (SUS) Naiya, Rara Weinita; Azwardi, Azwardi; Saputra, Ariansyah
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.7951

Abstract

Digital learning media has become one of the alternative solutions to address the challenges of 21st-century education, especially in delivering abstract material such as the human movement system at the elementary school level. This study was conducted to design and assess the feasibility of the SIGERAK application as an interactive digital learning medium. The application is equipped with instructional content, quizzes, and educational mini games designed to enhance students understanding of the human movement concept. The trial was carried out at SD Negeri 85 Palembang using a descriptive quantitative approach. A total of 30 students and 2 sixth-grade teachers participated in the learning sessions using the application. The evaluation process employed the System Usability Scale (SUS) instrument, which consists of 10 Likert scale statements to assess aspects of user comfort and ease of use. The collected data were analyzed through score conversion and interpreted based on three dimensions Acceptability Ranges, Grade Scale, and Adjective Ratings. The evaluation results showed that SIGERAK obtained an average score of 80.63. This score falls into the Acceptable category, corresponds to Grade B, and is classified as Good. This study indicates that SIGERAK has a high level of usability and is considered suitable as a game-based thematic learning medium at the elementary school level.

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