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All Journal TEKNIK INFORMATIKA Teknika: Jurnal Sains dan Teknologi JOIV : International Journal on Informatics Visualization JRSI (Jurnal Rekayasa Sistem dan Industri) Academica : Journal of Multidisciplinary Studies Jurnal Pendidikan dan Konseling Jurnal Varian eProceedings of Engineering SmartComp The Indonesian Journal of Computer Science
Dita Pramesti
Universitas Telkom
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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 1 
Public Sentiment and GoTo Stock Price Movement in Indonesia: A Null-Relationship Study Using Naïve Bayes and Non-Parametric Measures Pramesti, Dita; Fakhrurroja, Hanif; Karina M., Rahma
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46447

Abstract

The expiration of the lock-up period for PT GoTo Gojek Tokopedia Tbk's shares led to a sharp stock price decline and public discourse on Twitter. This study aims to examine the statistical relationship between public sentiment and GoTo’s stock price movement in Indonesia. Tweets were classified into positive or negative sentiment using the Naïve Bayes classifier, selected for its computational efficiency on large-scale textual data. The model achieved 70% accuracy, with a precision of 82% and F1-score of 75%. The sentiment polarity was then compared with stock trends across 39 distinct trading periods using four non-parametric statistical tests: Chi-Square (p = 0.6398), Cramer’s V (0.014), Goodman-Kruskal’s Lambda (0.053), and Mann-Whitney U test (p = 0.8994). None of these tests showed a statistically significant association between sentiment polarity and stock price movement. These findings highlight that while public sentiment may reflect short-term public interest, it does not reliably capture the market’s behavioral dynamics—especially in cases of investor decisions driven by broader macroeconomic or institutional factors. Sentiment data, therefore, should be considered as a complementary, rather than primary indicators in stock price analysis.
Back-End Development of an Interactive Dashboard with Real-Time API Integration for Chili Plant Monitoring in Precision Agriculture Azwar Farrel Wirasena; Hanif Fakhrurroja; Dita Pramesti
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46450

Abstract

  This research focuses on the development of an interactive web-based dashboard to support a precision agriculture system for chili plants. The primary focus of this research is on the back-end development of the system. The system integrates several internal and external APIs, including the Flask API (internal) for plant disease classification and growth prediction, and the Google Gemini API for the AI-powered chatbot that provides consultation to farmers (external). These features allow farmers to receive automatic disease diagnosis and growth predictions, improving decision-making and crop management. The dashboard also presents weather information, environmental data, and nanobubble data, along with Echarts gauge charts for seven essential metrics: Electrical Conductivity (EC), temperature, humidity, pH, nitrogen, phosphorus, and potassium. Data for the environmental and nanobubble data is retrieved from the ThingSpeak API (external), while weather information is fetched from the OpenWeatherMap API (external). The system was thoroughly tested using Postman to ensure all API endpoints function correctly. The results confirmed that all endpoints responded with status code 200 OK, indicating stable back-end performance. Performance testing showed response times stabilizing at 2000 ms after initial 4500 ms peaks, confirming efficient handling, reliable endpoints, and deployment readiness.
Co-Authors Aditya Zhafir Dhiaulhaq Alam Rahmatulloh Alfis Salam Azwar Farrel Wirasena Berlian Maulidya Izzati Fa'rifah, Riska Yanu Fakhrurroja, Hanif Fauzan , Daffa Surya Fauzi, Rokhman Fitria Dewi Wulandari Ilham Perdana Indah Nur Fitri Astuti Intan Akbar Rusmana Irfan Darmawan Karina M., Rahma Kusuma, Kemal Indra M. Rizal Bimantoro Maharani, Anggi Kusuma Maulana Purbaya, Andre Mufti, Afrizal Muhammad Ramadhan, Galih Muhammad Rizal Bimantoro Natasya Kusuma Putri Nur Widiyasono, Nur Pariswara, Endar Poedjimartojo, Naufal Avilandi Pradita Cahyani Pratama, M Fajri Bryan Rachmadita Andreswari Rahmat Fauzi Rahmat Fauzi Taufik Nur Adi Vandha Pradwiyasma Widartha