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All Journal Jurnal Bumigora Information Technology (BITe) Jurnal Teknimedia: Teknologi Informasi dan Multimedia
Assani, Moh. Yushi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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ANALISIS KEJADIAN STUNTING DI PROVINSI NUSA TENGGARA BARAT MENGGUNAKAN METODE PATH ANALYSIS Assani, Moh. Yushi; Kusrini Kusrini; Kusnawi Kusnawi
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 5 No. 1 (2024): Juni 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.v5i1.188

Abstract

Stunting is a problem in many developing countries, including Indonesia. Toddlers are a critical period for a child's development, this period can determine the child's level of development in the future. Not preparing yourself well at this stage can cause growth and development problems in children, including delays in growth and development. Stunting can cause suboptimal brain development and delays in motor development in children. Based on the results of the analysis, it is known that there is a direct effect between the husband's age on the baby's birth weight with a value of -0.234. Apart from that, the husband's smoking habit also has a direct effect on the baby's birth weight with a value of -0.176. Overall, the results of the path analysis show that husband's characteristics such as age, education, occupation, and smoking habits have a significant effect on the baby's birth weight. Husband's age is negatively correlated, while education and employment are positively correlated. These results need to be followed up with intervention and education for prospective fathers to improve the health of mothers and babies.
Analisis Sentimen Ulasan Mobile Banking Syariah Berbasis NLPuntuk Evaluasi dan Peningkatan Kualitas Layanan Digital Assani, Moh. Yushi; Rudiyan, Ari; Radiyah, Ummu
Jurnal Bumigora Information Technology (BITe) Vol. 7 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v7i2.5943

Abstract

Background: The development of Islamic mobile banking services in Indonesia requires improvements in the qualityof digital service management that focuses on user experience. User reviews on application platforms are an importantsource of data for understanding user perceptions, satisfaction, and problems encountered. The use of Natural LanguageProcessing enables systematic and automatic sentiment analysis to support the evaluation of Islamic banking servicequality.Objective: This study aims to analyze the sentiment of user reviews of sharia mobile banking applications and comparethe performance of the Na¨ıve Bayes sentiment analysis model as a classic model and IndoBERT as a transformer-basedmodel.Methods: Data was obtained through web scraping of 1,052 user reviews of the Bank NTB Syariah Mobile Bankingapp from the Google Play Store. Preprocessing steps included case folding, cleaning, stopword removal, stemming, andtokenization. Sentiment labeling was based on user rating scores with three categories: positive, neutral, and negative.Model performance was evaluated using accuracy and F1-score metrics.Result: The test results show that the Na¨ıve Bayes model achieved an accuracy of 78% with an F1-score of 0.74. Meanwhile,the IndoBERT model achieved an accuracy of 88% and an F1-score of 0.86. 
Co-Authors Kusnawi Kusnawi Kusrini Kusrini Rudiyan, Ari Ummu Radiyah, Ummu