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All Journal Jurnal Keperawatan Muhammadiyah Humaniora Sci-Tech Journal
Dennis Dennis, Dennis
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Engineering Health Professions Industrial & Manufacturing Engineering Nursing Public Health

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Students’ Understanding of Ambiguous Sentences in Websites Dennis, Dennis; Dewi, Ienneke Indra
Humaniora Vol 2, No 1 (2011): Humaniora
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/humaniora.v2i1.3048

Abstract

Article intended to find out the most frequent ambiguity that could be found in the sentences and the intended meaning. Data were taken from Kaskus and Facebook web sites, and then tests were given to students who had learned syntax and semantics to know their ability in noticing ambiguous sentences. The results show that there are among 13 sentences or phrases, 12 of them are lexically ambiguous and 1 sentence is structurally ambiguous. From the result, it can be concluded that there are many people making an ambiguous sentence without realizing it. 
Implementasi Metode Market Basket Analysis dan Collaborative Filtering untuk Rekomendasi Produk pada E-Commerce: VariasimotorJKT Dennis, Dennis; Mulyawan, Bagus; Dolok Lauro, Manatap
Sci-tech Journal Vol. 5 No. 1 (2026): Sci-Tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v5i1.956

Abstract

Local e-commerce often faces difficulties in providing relevant product recommendations due to diverse catalogs and heterogeneous user preferences. This study designs a hybrid recommendation system for VariasiMotorJKT by combining Market Basket Analysis (MBA) and Collaborative Filtering (CF). The data used are Completed orders from the VariasiMotorJKT store on Shopee for the period July–August 2024 with key attributes such as product name, quantity, buyer username, order time, and total price. The MBA component is extracted using Apriori/FP-Growth to build a “Frequently Bought Together” module, while the CF component (primarily user-based) generates personalized “For You” recommendations. Both are combined through a weighting/reranking scheme and stock filtering so that recommendations are ready to be displayed on product and cart pages. The evaluation is planned offline using chronological data sharing (train/validation/test) and Precision@K, Recall@K, MAP/NDCG@K, and Coverage metrics. The system is expected to improve product navigation, cross-sell/up-sell opportunities, and the quality of store owners’ merchandising decisions. The prototype was developed in a web environment (HTML/CSS, XAMPP) with a simple ETL pipeline for cleaning and basket/interaction matrix generation. The research results are expected to provide practical contributions for e-commerce SMEs and academic contributions as a case study for the application of data mining techniques for recommendations.
Hubungan Tingkat Nyeri Dan Kualitas Tidur Dengan Pemulihan Luka Pasien Pasca Operasi Open Reduction Internal Fixation RSUD Kanjuruhan Kabupaten Malang DENNIS, DENNIS; MARSAID, MARSAID; SUPONO, SUPONO; SULASTYAWATI, SULASTYAWATI
Jurnal Keperawatan Muhammadiyah Vol 11 No 1 (2026): JURNAL KEPERAWATAN MUHAMMADIYAH
Publisher : UNIVERSITAS MUHAMMADIYAH SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jkm.v11i1.27969

Abstract

Objective: To determine the relationship between pain level and sleep quality with wound healing in postoperative ORIF patients. Methods: This study used a descriptive correlational design with a sample of 39 postoperative ORIF patients selected purposively. Participants were conscious, cooperative, had no history of diabetes, and were aged between 13–50 years. Instruments used to collect data included questionnaires on pain level, sleep quality, and wound healing. Results: Spearman Rank correlation test results showed a p-value of 0.000 (p < 0.05) with an R value of -0.772, indicating a strong relationship between pain level and wound healing after ORIF surgery. Additionally, a p-value of 0.000 (p < 0.05) with an R value of -0.789 indicated a fairly strong relationship between sleep quality and wound healing after ORIF surgery. Conclusion: There is a relationship between pain level and sleep quality with wound healing after ORIF surgery.
Co-Authors Bagus Mulyawan Dolok Lauro, Manatap Ienneke Indra Dewi Marsaid marsaid Sulastyawati Sulastyawati Supono Supono