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All Journal Jurnal Teknologi Informasi dan Multimedia Jurnal Teknimedia: Teknologi Informasi dan Multimedia
I Made Yadi Dharma
Universitas Bumigora
Computer Science & IT Control & Systems Engineering Engineering

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Implementasi Metode Waterfall untuk Membuat Antarmuka pada Aplikasi Koperasi Simpan Pinjam Berbasis Mobile I Made Yadi Dharma; I Putu Hariyadi; Ahmat Adil; Heroe Santoso
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.586

Abstract

Current technological developments have penetrated various sectors of human daily activities, almost every human activity is supported by technology that functions to facilitate the completion of work, starting from things that seem trivial to quite complicated work. Therefore, Banjar Tri Parartha residents who have a business unit in the form of a savings and loan cooperative with funds from member contributions, run it by carrying out cooperative principles to help the economic movement of its citizens based on the principle of family. At this time the process of recording, calculating to the reporting process is still done conventionally, so that cooperative administrators are quite busy every time they make an accountability report that is carried out every year. By running the analysis and design process in the application creation stage using the waterfall method. So in the interface design it is adjusted to what is needed by the cooperative. It is hoped that this research can be a reference in making applications as the next stage. By using the application design starting from the recording stage, processing calculations and presenting reports, it is hoped that all stakeholders will find it easier to monitor and obtain cooperative financial information, so that the transparency of cooperative funds can provide certainty for its members.
PEMILIHAN BAHAN PUPUK ORGANIK UNGGULAN DALAM SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE WEIGHTED PRODUCT Heroe Santoso; Raisul Azhar; Suriyati Suriyati; Melati Rosanensi; I Made Yadi Dharma; Husain Husain; Fathurrahman Fathurrahman
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 5 No. 2 (2024): Desember 2024
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v5i2.208

Abstract

Organic fertilizer is a type of fertilizer that comes from natural ingredients that contain organic materials, such as plant, animal or other organic waste. Organic fertilizer naturally contains essential nutrients for plants, such as nitrogen, phosphorus, potassium, micronutrients and beneficial organic materials. Organic fertilizers have experienced significant development in recent years. Increased awareness of the importance of sustainable and environmentally friendly agriculture has encouraged the use and development of organic fertilizers. Meanwhile, organic fertilizer can be produced through composting, fermentation or decomposition of organic materials. To be able to produce superior and quality fertilizer products, of course you must choose superior or quality product ingredients. Sources of organic material can be goat kohe, effective microorganism 4 (EM4), bamboo leaf waste, chicken manure waste, burnt husks, cocopeat, coconut fiber. This research aims to create a decision support system using the weighted product (WP) method. WP is a popular multi-criteria analysis decision and is a multi-criteria decision making method. The choice of the weighted product (WP) method is also based on its ability to provide optimal solutions in the ranking system. The choice of this method is also based on the computational complexity which is not too difficult so that the time required to produce calculations is relatively short
ANALISIS SENTIMENT KEUANGAN MENGGUNAKAN FINE-TUNED FINBERT Heroe Santoso; Raisul Azhar; Suryati Suryati; Melati Rosanensi; I Made Yadi Dharma; Husain Husain; Ahmat Adil; Muhamad Azwar; I Putu Hariyadi
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.316

Abstract

Financial information is a critical type of data for analysis. However, because much of it is unstructured and widely dispersed, an appropriate analytical method is required, one of which is sentiment analysis. In the financial context, sentiment analysis is employed by the industry to assess public perceptions of companies or market conditions. This study implements a fine-tuned FinBERT model to perform sentiment analysis in the financial sector. The dataset used is a combination of FiQA (Financial Question Answering) and The Financial PhraseBank, consisting of English sentences labeled with negative, neutral, and positive sentiments. The research process involved data preprocessing, tokenization, data splitting, model training, and evaluation using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results show that the model achieved 82% accuracy, with its best performance in the positive class (F1-score 0.88) and the neutral class (F1-score 0.85), but weaker performance in detecting the negative class (F1-score 0.49). These findings indicate that the fine-tuned FinBERT is effective for financial sentiment analysis, particularly for positive and neutral sentiments, though improvements are needed in negative sentiment detection, potentially through expanding training data diversity or applying data augmentation techniques
Co-Authors Ahmat Adil Azhar, Raisul Fathurrahman Fathurrahman Husain Husain I Putu Hariyadi Melati Rosanensi Muhamad Azwar Santoso, Heroe Suriyati Suriyati Suryati Suryati