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All Journal Dinamik Jurnal Berita Ilmu Keperawatan
Cahyono, Taufik Dwi
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Computer Science & IT Health Professions Nursing Public Health

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Hubungan Antara Lama Menderita Diabetes Dengan Nilai Ankle Brachial Index Cahyono, Taufik Dwi; Purwanti, Okti Sri
Jurnal Berita Ilmu Keperawatan Vol. 12, No. 2, 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bik.v12i2.9803

Abstract

Duration of suffering diabetes melitus type 2 causes glucose increase in blood results in blood vessels damage, creates a risk of complications which will usually appear in 5-10 years. Further examination is needed is to measure Ankle brachial index (ABI), which is the ratio of blood pressure in the ankle and arm. The purpose of this research was to investigate the relationship between duration of diabetes melitus and an ankle brachial index in patients with type 2 diabetes melitus in Hospital Dr. Moewardi Surakarta. This research is a descriptive correlative with cross sectional approach. The sample used in this study 30 patients with type 2 diabetes melitus who were hospitalized in Dr. Moewardi Surakarta Hospital. Sampling technique used is consecutive sampling. The instrument used to record data are questionnaires, sphygmomanometer and stethoscope. Analysis of the data used is the chi square test. Bivariat results found that respondents who had normal ABI values with the duration of diabetes 0.05), which means that Ho is accepted. The conclusions of this study indicate that there is no relationship between duration of diabetes melitus with an ankle brachial index in patients with diabetes melitus type 2 whichmeans that the duration of diabetes melitus does noteffect the value abnormality ABI.
Pendekatan Graph-Based Community Detection dalam Social Network Analysis Jaringan Undang-Undang Republik Indonesia 2014-2024 Wibisono, Setyawan; Wahyudi, Eko Nur; Hadikurniawati, Wiwien; Lestariningsih, Endang; Cahyono, Taufik Dwi
Dinamik Vol 30 No 2 (2025)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v30i2.10218

Abstract

This study evaluates the performance of three community detection algorithms—Leiden, Infomap, and Label Propagation—on the legal network of the Republic of Indonesia spanning the period 2014–2024. The network consists of 679 nodes and 2,295 edges, constructed based on citation relationships among regulations. The evaluation employs four network topology metrics: modularity, coverage, conductance, and inter-cluster density. Results show that the Leiden algorithm achieves the highest modularity score (0.522991), indicating the formation of communities with strong internal density. Additionally, it yields the lowest conductance value (0.302455), suggesting relatively well-isolated communities. In contrast, the Label Propagation algorithm produces the highest coverage (0.835294) and inter-cluster density (0.542331), but with a lower modularity (0.431583), reflecting the formation of large communities with less distinct boundaries. Infomap exhibits moderate performance, with a modularity score of 0.508406 and inter-cluster density of 0.420803, yet records a relatively high conductance (0.410409). Network visualizations reveal three major communities for each algorithm, representing thematic clusters such as institutional governance, constitutional law, and public finance. Overall, the Leiden algorithm is considered the most optimal for detecting modular, stable, and thematically coherent community structures within the complex and interrelated network of Indonesian laws.
Co-Authors Eko Nur Wahyudi Endang Lestariningsih Okti Sri Purwanti Setyawan Wibisono Wiwien Hadikurniawati