Jurnal Informatika Progres

PERANCANGAN DAN IMPLEMENTASI AWAL APLIKASI FINEME BERBASIS FLUTTER UNTUK PENCATATAN KEUANGAN PRIBADI DIGITAL

Tue, 28 Apr 2026 11:44:06 +0000

Personal financial record keeping is often delayed or messy, making it difficult to summarize data, unconnected to budget limits, and easily overlooked. This research designed and built FineMe, a Flutter-based application for recording transactions, managing categories, setting total and per-category budgets, displaying daily charts, exporting data to CSV, and managing recurring transactions. The development followed a layered architecture software engineering approach with SQLite in the data layer, a repository for logic and aggregation, Riverpod for state synchronization, and a Material interface. Requirements were derived from daily usage scenarios and implemented iteratively, while functional testing assessed the accuracy of calculations and interface responsiveness. Results showed that the income, expense, and balance summaries were updated instantly, two separate daily charts were easy to read, budget progress was calculated accurately, valid CSV files were opened in a spreadsheet, and recurring transaction rules reduced repetitive input. These findings confirm the effective combination of Flutter, SQLite, and reactive state management for building a precise, responsive, and scalable financial recorder.

RANCANG BANGUN MODEL KONTROL AKSES DINAMIS BERBASIS KONTEKS PADA ARSITEKTUR ZERO TRUST

Tue, 28 Apr 2026 12:09:01 +0000

The rapid development of digital systems and interconnected environments has created new challenges in securing data. Traditional perimeter-based security models are no longer adequate to protect sensitive information from internal and external threats. This study proposes the design and implementation of a Context-Based Dynamic Access Control Model within the Zero Trust Architecture (ZTA) framework. The proposed system integrates contextual authentication, adaptive risk evaluation, and a dynamic policy engine to implement more granular access control in multi-user web applications. The prototype was developed using Node.js, Express.js, and MySQL, featuring multi-factor authentication, contextual verification via OTP, session management, and security notifications.The test results indicate that the system is capable of detecting changes in access context, enforcing re-authentication, and recording all user activities for auditing and anomaly detection purposes. The integration of contextual authentication, adaptive access control, and Zero Trust principles has been proven to enhance data protection and user accountability without reducing system usability..

IMPLEMENTASI SISTEM LOGIN WEB BERBASIS ZTA DENGAN INTEGRASI OTP BREVO DAN CAPTCHA

Steven Adventino Gulo, Dedy Kiswanto, Muhammad Hidayatul Arifin, Windy Aulia — Tue, 28 Apr 2026 12:51:41 +0000

Keamanan autentikasi pada sistem web merupakan komponen penting dalam menjaga kerahasiaan dan integritas data pengguna dari berbagai ancaman siber seperti brute force, phishing, dan serangan bot. Penelitian ini mengimplementasikan sistem login web berbasis Zero Trust Architecture (ZTA) yang diintegrasikan dengan One-Time Password (OTP) Brevo serta Google reCAPTCHA untuk memperkuat proses verifikasi identitas pengguna. Prinsip dasar “never trust, always verify” diterapkan agar setiap permintaan akses divalidasi secara menyeluruh tanpa adanya asumsi kepercayaan terhadap pengguna. Sistem dikembangkan menggunakan bahasa pemrograman web dengan dukungan basis data MySQL dan diuji melalui serangkaian uji fungsional, performa, serta keamanan. Hasil pengujian menunjukkan bahwa kombinasi ZTA, OTP Brevo, dan reCAPTCHA secara signifikan meningkatkan keamanan proses login dengan membatasi percobaan akses berulang, mencegah serangan otomatis dari bot, serta menekan potensi login ilegal. Selain itu, penerapan enkripsi kata sandi dan pembatasan waktu OTP terbukti meningkatkan keandalan autentikasi berlapis. Berdasarkan hasil percobaan, sistem yang dikembangkan dinilai lebih tangguh, adaptif, dan efisien dalam menghadapi ancaman siber modern tanpa mengurangi kenyamanan pengguna.

IDENTIFIKASI BIAS SOSIAL EKONOMI DALAM MODEL BAHASA AI INDONESIA MELALUI ETHICAL PROBING

Tue, 28 Apr 2026 13:21:06 +0000

This study evaluates socioeconomic bias in three large language models (LLMs) that support Indonesian Nusantara, IndoGPT, and SEA-LION using an ethical probing approach. A total of 100 short narrative prompts (4–11 words) were compiled to represent issues of poverty, informal employment, access to education, and regional contexts. Each model output was analyzed using five key indicators: emotional valence, stereotypes, narrative themes, framing, and deontic indicators. The results show that all three models tend to produce neutral responses, especially SEA-LION, which has the highest proportion of neutral responses. However, stereotypes still appeared at almost the same level across all models, indicating that a neutral tone does not guarantee bias-free output. IndoGPT showed the highest use of normative language, while Nusantara more often displayed structural framing and empathetic nuances. In contrast, SEA-LION was the most stable in maintaining neutrality without eliminating implicit stereotypical tendencies. These findings confirm that socioeconomic bias in Indonesian-language LLMs still occurs subtly through deterministic narratives, generalizations, and framing that normalizes the vulnerability of low-income groups. This study provides an initial overview of the direction of generative bias in Indonesian LLMs and highlights the need for broader dataset development, stricter annotation methods, and continuous evaluation for the development of fairer models.

PERAN MEDIA SOSIAL DALAM MEMBANGUN JARINGAN PROFESIONAL UNTUK WIRAUSAHA GEN Z

Muhaimin Burhanuddin, Farida Febriati — Tue, 28 Apr 2026 13:33:47 +0000

Social media has become an essential tool for Gen Z entrepreneurs in building professional networks. With more than 3.6 billion social media users worldwide in 2020, and that number expected to continue to grow, these platforms offer unlimited opportunities to interact, collaborate, and expand business networks. This study uses a literature review method to explore how social media functions as a bridge in building valuable professional connections. Through analysis of various relevant studies, it was found that social media not only facilitates communication, but also helps Gen Z entrepreneurs build reputation and credibility in their industries. By utilizing platforms such as LinkedIn, Instagram, and Twitter, these young entrepreneurs can access information, find mentors, and even discover investors. The results of this study indicate that effective use of social media can be the key to success in running a business, especially in an increasingly competitive digital era.

IMPLEMENTASI SISTEM DETEKSI PRODUK BOIKOT BERBASIS WEBSITE REAL-TIME MENGGUNAKAN METODE YOLOv10

Tue, 28 Apr 2026 15:12:02 +0000

Manual identification ofboycott products remains a challenge for the public due to limited access to information and the complexity of brand affiliations. This study aims to develop a real-time, website-based boycott product detection system using the You Only Look Once version 10 (YOLOv10) algorithm. The dataset consists of images of food and beverage product packaging collected from various online sources, annotated using the bounding box method, and classified into five categories. The model was trained and tested using separate test data, while performance evaluation was conducted using a confusion matrix with precision, recall, and f1-score metrics. In addition, functional testing of the system was performed using the Black Box Testing method. The result indicate that the YOLOv10 model is capable of detecting boycott product with good performance and can be effectively integrated into a real-time web-based system. The proposed system is expected to assist users in identifying boycott products more quickly and accurately.

IMPLEMENTASI FINANCIAL TECHNOLOGY (FINTECH) PADA DEPOSITO DIGITAL BANK NEO COMMERCE (NEOBANK)

Tue, 28 Apr 2026 22:06:06 +0000

Financial Technology (FinTech) transformation has driven a shift in public investment behavior toward digital banking services offering efficiency and transparency. This study aims to analyze the profitability of digital deposit services at Bank Neo Commerce (NeoBank) and map optimal investment strategies for customers. The research employs a quantitative descriptive approach with Time Value of Money (TVM) calculation simulations based on fixed returns across various time intervals. The results indicate that NeoBank's digital deposit system accumulates profits precisely from yearly to hourly intervals, providing more measurable yield certainty compared to conventional banking. Decision Tree analysis recommends this product for investors with conservative to moderate risk profiles who prioritize liquidity and LPS security guarantees. This study concludes that FinTech implementation in digital deposits offers a balance between accessibility, security, and profitability.

PENINGKATAN AKURASI DETEKSI DINI KEBAKARAN BERBASIS IOT MENGGUNAKAN ALGORITMA RANDOM FOREST

Wed, 29 Apr 2026 05:33:12 +0000

Fire is one of the most frequent disasters and poses a significant risk to human safety, environmental sustainability, and property due to delayed early detection. This study aims to design and implement an early fire warning system based on the Internet of Things (IoT) enhanced with Machine Learning to improve detection accuracy and reliability. The system utilizes an ESP32 microcontroller as an edge node integrated with a DHT11 sensor for temperature and humidity, an MQ-2 sensor for gas and smoke concentration, and a flame sensor for fire detection. Multisensor data are transmitted in real time to a Flask-based server via the HTTP protocol and processed using a Random Forest classification model to determine environmental conditions as either safe or fire-hazardous. The classification results are displayed on a web-based dashboard and accompanied by automatic notifications delivered through a Telegram bot. Experimental results show that the proposed system achieves a detection accuracy of 94%, a low false positive rate, and a notification latency of less than 3 seconds, based on experiments conducted using a dataset of 3000 samples with an 80:20 split between training and testing data.The integration of IoT and Machine Learning demonstrates superior performance compared to conventional threshold-based methods, making the system a promising preventive solution for fire risk mitigation in residential and industrial environments.

OPTIMASI PROMPT ENGINEERING SEBAGAI STRATEGI PENINGKATAN KOGNITIF: STUDI EKSPERIMEN PADA PEMBELAJARAN ALGORITMA DAN PEMROGRAMAN

Wed, 29 Apr 2026 07:06:36 +0000

Penetrasi ChatGPT di lingkungan akademik telah memicu kekhawatiran mengenai penurunan kemampuan berpikir kritis mahasiswa akibat ketergantungan pada jawaban instan. Penelitian ini bertujuan untuk menguji efektivitas optimasi prompt engineering (teknik pemberian instruksi terstruktur) sebagai strategi untuk meningkatkan kemampuan kognitif mahasiswa pada mata kuliah Algoritma dan Pemrograman. Dengan menggunakan metode eksperimen murni (True Experimental Design), penelitian ini melibatkan 60 mahasiswa Program Studi Teknologi Informasi yang dibagi ke dalam kelompok eksperimen dan kelompok kontrol. Kelompok eksperimen diberikan intervensi berupa panduan prompting menggunakan teknik Chain-of-Thought (CoT) dan Socratic Prompting, sementara kelompok kontrol menggunakan ChatGPT secara bebas. Hasil penelitian menunjukkan adanya perbedaan signifikan pada nilai post-test antara kedua kelompok ($p < 0,05$), dengan rata-rata kelompok eksperimen (82,5) jauh melampaui kelompok kontrol (64,2). Analisis N-Gain Score menunjukkan bahwa kelompok eksperimen mengalami peningkatan kognitif kategori "Tinggi" (0,71). Temuan ini membuktikan bahwa optimasi prompting mampu mengubah peran AI dari mesin penjawab otomatis menjadi mitra dialog kognitif yang merangsang logika berpikir. Penelitian ini memberikan implikasi bagi dosen muda untuk mengintegrasikan literasi prompting dalam kurikulum sebagai strategi mitigasi terhadap risiko adiksi teknologi tanpa mengorbankan efisiensi AI.