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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 549 Documents
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Analisis Spasial dan Variasi Lokal Merchant QRIS Menggunakan Adaptive Geographically Weighted Regression Werizky, Muhammad Rafli; Ramdhani, Moh Ferdinand; Ibadurrahman, Muh Taqiyudin; Hasanah, Mutiara; Kurniawan, Ilham Wira; Cianata, Bryant; Zuhdi, Shaifudin
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8945

Abstract

Indonesia’s digital payment ecosystem increasingly relies on the Quick Response Code Indonesian Standard (QRIS). However, its distribution still exhibits clear spatial disparities between western and eastern regions. This study aims to analyze local variations and the determinants influencing the number of QRIS merchants across Indonesian provinces in 2024. The analysis employs Adaptive Geographically Weighted Regression (AGWR) with an adaptive bisquare kernel to capture spatial heterogeneity that cannot be explained by global models such as Ordinary Least Squares (OLS). The independent variables used include Gross Regional Domestic Product per capita, average years of schooling, digital infrastructure, urbanization rate, population density, number of Micro, Small, and Medium Enterprises (MSMEs), and internet access. The results indicate that AGWR outperforms OLS, with the Coefficient of Determination (R²) increasing from 0,806 to 0,976 and the Adjusted R² from 0,751 to 0,905. Additionally, the Akaike Information Criterion (AIC) decreases from 1003,417 to 967,981, while the Sum of Squared Errors (SSE) drops significantly from 1,91×10¹³ to 2,32×10¹². The empirical findings reveal that the number of MSMEs is the most consistent determinant of QRIS adoption across regions. Socioeconomic factors exhibit strong influence in Java but show limited relevance in eastern provinces such as Papua and Maluku, suggesting the presence of structural constraints in these areas. This study recommends implementing location-specific financial inclusion strategies rather than uniform national policies.
Perancangan Sistem Informasi Rapor Digital Siswa Berbasis Mobile Menerapkan RAD Alda, Muhamad; Safitri, Nabilah; Alisya, Dwi; Akbar, Ahnaf Chaisar; Wardana, Dimas Arya
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.8948

Abstract

The development of information and communication technology has encouraged educational institutions to adopt digital systems for managing academic data, including the preparation and distribution of student report cards. This study aims to design and develop a mobile-based Digital Report application using the Kodular platform as a solution to the inefficiency and errors of manual systems. The development method used is Rapid Application Development (RAD), focusing on quick iterations through stages of requirement analysis, interface design, and functional testing. Data were collected through literature study, observation, and interviews with schools to ensure that the application features met user needs. The results show that the application provides login, dashboard, student data input, score management, and real-time report access. Implementation of the Kodular no-code platform in the development of a mobile-based digital report card system that is easy to implement in the school environment, as well as providing an efficient and adaptive academic system development model for schools with limited technical resources. Kodular proved effective in speeding up the development process without complex coding, supporting school digitalization, and improving transparency and efficiency in managing academic data.
Analisis Komparatif Respons Insiden DDoS: Efisiensi MTTR pada Penanganan Manual Versus Otomatis Berbasis SIEM dan SOAR Darmayoga, I Nyoman; Mardhiyyah, Rodhiyah
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.8972

Abstract

The increasing use of digital services in Indonesia has been accompanied by a growing number of cybersecurity threats, particularly DDoS attacks that target service availability. One real-world incident occurred on the news website Suara.com, which experienced a large-scale DDoS attack that was handled manually by the technical team. The manual handling of this incident revealed limitations in terms of the speed and measurability of the initial response, as not all response stages were systematically documented. This study aims to compare the mechanisms and speed of initial responses between manual handling of the DDoS incident on Suara.com and automated responses using the SYRA system. SYRA is a web-based security system developed to support automated detection and response to cyber incidents through the integration of SIEM and SOAR. The research method used is a comparative study that utilizes public data from the chronology of the Suara.com incident as a representation of manual response, as well as data from DDoS attack testing on the SYRA system conducted in a controlled environment as a representation of automated response. The main parameter used in the analysis is MTTR as an indicator of initial response speed. The results show that the SYRA system is able to execute initial responses consistently with an average MTTR value of 42.97 seconds, allowing initial mitigation actions to be carried out in less than one minute after the attack is detected. These findings indicate that the implementation of automated response plays an important role in maintaining the continuity of digital services, particularly in the media and public service sectors that are highly dependent on system availability.
Pengembangan Sistem Manajemen Waktu Berbasis Mobile dengan Pendekatan Teknik Pomodoro Pratama, Faras Sulthan; Widodo, Tri
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8977

Abstract

Time management poses a critical challenge for the academic community, particularly students, in the era of digital transformation. Distractions arising from excessive device usage often compromise concentration and productivity while escalating academic stress. This study aims to develop a mobile-based application implementing the Pomodoro Technique to assist users in managing work and rest intervals in a structured manner. The system development follows the Prototyping approach, encompassing requirements analysis, interface design, system coding, and functional testing. Constructed using the Flutter framework with the Dart programming language, the application utilizes SharedPreferences for a lightweight local data storage mechanism. Black Box testing results demonstrate that key features such as the custom timer, to-do list management, and theme personalization operate according to functional specifications. The implementation of this system proves effective in providing students with a tool to independently enforce time discipline, thereby minimizing potential mental fatigue and enhancing daily productivity.
Analisis Algoritma Fuzzy C-Means Untuk Pengelompokan Data Keluarga Cahyadi, Wahyu; Haerani, Elin; Nazir, Alwis; Iskandar, Iwan
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8981

Abstract

Mapping the socio-economic conditions of the community plays a crucial role in supporting targeted development planning at the village level. This study aims to apply the Fuzzy C-Means (FCM) algorithm to cluster families in Bina Baru Village based on social, economic, and household environmental indicators. The variables used include family size, income sources, physical condition of the house, basic facilities, as well as monthly expenditure and income levels. This study uses population data from Bina Baru Village, consisting of 1,000 entries with 16 variables. The FCM algorithm was chosen for its ability to accommodate multiple degrees of membership (fuzzy membership), making it more adaptable in capturing the diversity and ambiguity of socio-economic characteristics. The results show that FCM produces two main clusters: Cluster 0, with 440 members, reflects families with middle to lower economic conditions, permanent housing, and adequate basic facilities; and Cluster 1, with 560 members, represents families with lower economic conditions, semi-permanent housing, and relatively smaller family sizes. Evaluation using the Xie–Beni index (35.4976), Fuzzy Partition Entropy (0.6843), and Fuzzy Cluster Index (0.4468) indicates that the two-cluster model has the best clustering quality compared to other numbers of clusters. Overall, the Fuzzy C-Means algorithm is effective in mapping variations in family welfare and can be used as a basis for formulating development policies and data-driven community empowerment programs in Bina Baru Village.
Kualitas Produk Brand Ambassador Content Marketing Terhadap Keputusan Pembelian Sunscreen Gloowandbe di TikTok Shop Fasha, Widitha; Karamang, Ezra
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.8986

Abstract

This study aims to analyze the influence of product quality, brand ambassadors, and content marketing on the decision to purchase Gloowandbe sunscreen products on TikTok Shop. The research method used is quantitative descriptive with quota sampling technique. Data collection was conducted through an online survey (questionnaire) to 100 respondents who were users or former users of Gloowandbe sunscreen aged 12-34 years on the TikTok Shop platform. The analyses used were validity-reliability tests, multiple linear regression, t-tests, f-tests, and R2 determination tests, with the help of SPSS 27 statistical tools. The results showed that simultaneously, product quality, brand ambassador, and content marketing had a positive and significant effect on purchasing decisions with an F value of 60,277 (Sig. 0.001 < 0.05). Partially, product quality is the most dominant variable influencing purchasing decisions with a value of t=5,351, followed by content marketing (t=3,572), and brand ambassador (t=2,702). The R2 value (coefficient of determination) shows that these three variables contribute 64,2% to purchasing decisions, while the remaining 35,8% is influenced by factors outside this study. Thus, it can be concluded that marketing strategies on TikTok Shop need to integrate consistent product quality with creative content and the selection of the right brand ambassadors to increase sales.
Pengembangan Sistem Prediksi Saham Menggunakan Model Hybrid Gated Recurrent Unit–Long Short-Term Memory Berbasis Integrasi Indikator Teknikal Konvensional Aryanto, Fajar Hanggoro Dwi; Sejati, Rr. Hajar Puji; Sanjaya, Fadil Indra
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.8988

Abstract

Stock price prediction is a crucial aspect of investment decision-making in the Indonesian capital market. This study aims to design a hybrid Gated Recurrent Unit–Long Short-Term Memory (GRU–LSTM) model architecture integrated with technical indicators such as Moving Average Convergence Divergence, Moving Average, Exponential Moving Average, and Relative Strength Index to improve the accuracy and objectivity of predictions. Additionally, this study aims to optimize model performance through grid search and implement it into a Flask-based web application as a decision support system for investors. The system was developed using a research and development approach at the Yogyakarta University of Technology. Historical data on PT Bank Rakyat Indonesia (Persero) Tbk. (BBRI.JK) shares for the period from January 2, 2020, to October 17, 2025, was obtained through the Yahoo Finance API as the main dataset. The model was optimized to determine the best combination of hyperparameters. Evaluation was performed using the Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) metrics. The test results show that the model achieved MAE 0.0241, MSE 0.0012, RMSE 0.0346, and MAPE 2.7%, indicating a high level of accuracy. The web application provides interactive visualization dashboard features, model development, and educational documentation. These findings confirm that the integration of deep learning with technical indicators is an effective solution for more measurable and systematic stock analysis.
Rancang Bangun Sistem Manajemen Jadwal Pelajaran Berbasis Mobile Menggunakan Flutter dan Node.js dengan Fitur Push Notification Ja'far, Ja'far; Utami, Wahyu Sri
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8995

Abstract

The development of information technology encourages educational institutions to undertake digital transformation in data management and academic services, particularly in the lesson scheduling system. At Muhammadiyah Mlonggo Junior High School in Jepara, the learning schedule design stage still relies on conventional methods involving bulletin boards and printed files. This method causes various problems, including delays in information dissemination, a high potential for data errors, and the absence of a centralized mechanism to maintain schedule consistency and accuracy. Schedule design problems have a direct impact on the effectiveness of teaching and learning activities for both teachers and students. This study aims to design and implement a mobile-based lesson schedule application using Flutter and Node.js equipped with an automatic push notification feature to improve the efficiency, accuracy, and timeliness of school schedule management. The software development method used is the Waterfall model, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. The backend system was developed using a Node.js/Express-based RESTful API with a MySQL database to ensure data integrity and consistency. This application is equipped with a data validation mechanism and schedule conflict detection to prevent time conflicts during the input and update process of the schedule, so that information accuracy can be maintained. Functional testing was conducted using the Blackbox Testing method on all the main features of the application. The findings of the research results show that the application is able to present lesson schedules in real-time, simplify the process of updating information, and provide notifications to teachers and students as reminders of teaching and learning activities. The test results show that 100% of the functions run according to the established specifications. Thus, this application can improve efficiency, accuracy, and effectiveness in managing lesson schedules in the school environment. Overall, the application is able to present lesson schedules in real-time, speed up the process of updating information, and provide reminder notifications to teachers and students, thus supporting more effective and reliable management of learning schedules in the school environment.
The Design and Evaluation of a Decentralized E-Voting System Using Ethereum Smart Contracts Hurit, Ludgerdus Pati; Sumihar, Yo'el Pieter; Budiati, Haeni
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.8997

Abstract

The widespread implementation of electronic voting systems poses ongoing challenges related to data integrity, transparency, and centralized control, which can increase the risk of vote manipulation and reduce traceability. To address these issues, this study designs and evaluates a decentralized electronic voting system implemented using Ethereum smart contracts. The objective of this research is to test the ability of blockchain technology to support a secure, transparent, and tamper-resistant voting process in a decentralized environment. The research methodology includes requirements analysis, system design, system implementation, and functional testing. Black-box testing was conducted to verify the system's functionality throughout the voting process. The proposed system permanently records voting transactions on the blockchain, preventing unauthorized modifications while allowing transaction verification by network participants. Voter privacy is maintained by separating voter identity data from voting records and implementing blockchain address abstraction, ensuring that individual votes cannot be directly linked to voter identities. System evaluation focuses on transaction costs and confirmation times. Performance testing was conducted using six test transactions on the Sepolia blockchain network. The total transaction cost recorded was 0.006076 ETH, with an average cost of 0.001013 ETH per transaction. The minimum transaction cost of 0.000091 ETH occurred during voting operations, while the maximum cost of 0.005596 ETH was associated with smart contract deployment and higher network base fees. The average transaction confirmation time was approximately 12 seconds. Although the evaluation was based on a limited number of transactions, the results indicate that the proposed system demonstrates reliable transaction execution, acceptable gas usage, and high transparency. Further large-scale testing is recommended for future work.
Pengaruh Kualitas Produk, Harga, dan Konten TikTok Terhadap Minat Beli Moisturizer Pada Generasi Z Patricia, Putri; Karamang, Ezra
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.9008

Abstract

The rapid growth of the skincare sector and the widespread use of social media, particularly TikTok, have prompted businesses to understand what drives Generation Z's purchasing intentions. This study aims to examine how product quality, cost, and TikTok content influence purchase intentions for Labore products. This study uses quantitative methods with an explanatory focus. To collect data, an online survey was conducted involving 120 Generation Z participants (17-26 years old) who actively use TikTok and have been exposed to Labore content in urban Indonesia. Multiple linear regression analysis was conducted after validity, reliability, and classical assumptions (normality, multicollinearity, heteroscedasticity) were met. The results show that all three variables have a significant positive effect on purchase intentions (p < 0.05) with product quality as the strongest predictor (β = 0.612; t = 18.117), followed by TikTok content (β = 0.455; t = 14.737) and price (β = 0.092; t = 3.143). The research model explained 91.8% of the variance in purchase intention (R² = 0.918; F = 445.259; p = 0.000). The findings confirm that an integrated strategy combining superior product quality, competitive pricing, and authentic-educational TikTok content can significantly increase Generation Z consumers' purchase intention towards local skincare products.

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