Abstract:Abstract: Chronic diseases such as diabetes, hypertension, and heart disease are major causes of morbidity and mortality in various countries, including Indonesia. Early detection of chronic disease risk is a crucial step…
p in more effective prevention and treatment. One important source of information for identifying these risks is laboratory data, particularly patient blood data, which includes parameters such as glucose levels, cholesterol, blood pressure, hemoglobin, and other indicators. The objective of this study was to design and develop a patient blood data clustering application to identify chronic disease risk using the K-Menas method and the Elbow method using a web programming language. The data used in this study consisted of a sample of 140 individuals. Of the total sample, 140 patients were successfully grouped into four optimal clusters (K = 4). This data partitioning process resulted in a varied population distribution within each cluster, reflecting the heterogeneity of clinical and demographic characteristics among the study subjects. Based on the analysis of 140 patients, the population was dominated by the Critical/Chronic group (Cluster 4) at 45.7% (64 patients), followed by the Healthy/Normal Group (Cluster 1) at 30% (42 patients), and the Low/Early Risk (Cluster 2) and High Risk (Cluster 3) groups, each with an equal minority proportion of 12.1% (17 patients).
Keywords: Elbow Optimization, K-Menas Method, Clustering, Patient Blood Data, Chronic Disease Risk Identification
Abstrak: Penyakit kronis seperti diabetes, hipertensi, dan penyakit jantung menjadi penyebab utama morbiditas dan mortalitas di berbagai negara, termasuk Indonesia. Deteksi dini terhadap risiko penyakit kronis merupakan langkah penting dalam upaya pencegahan dan penanganan yang lebih efektif. Salah satu sumber informasi penting untuk mengidentifikasi risiko tersebut adalah data laboratorium, khususnya data darah pasien, yang mencakup parameter-parameter seperti kadar glukosa, kolesterol, tekanan darah, hemoglobin, serta indikator lainnya. Tujuan dalam penelitian ini ialah Untuk merancang dan membuat aplikasi clustering data darah pasien untuk identifikasi resiko penyakit kronis menggunakan Metode K-Menas dan metode elbow dengan bahasa pemrograman web. Data yang digunakan dalam penelitian ini berupa sample sebanyak 140 orang. Dari total sampel penelitian sebanyak 140 pasien berhasil dikelompokkan ke dalam 4 klaster optimal (K = 4). Proses partisi data ini menghasilkan sebaran populasi yang bervariasi di setiap klasternya, mencerminkan adanya heterogenitas karakteristik klinis atau demografis di antara subjek penelitian. Berdasarkan hasil analisis terhadap 140 pasien, populasi didominasi oleh kelompok Kritis/Kronis (Klaster 4) sebesar 45,7% (64 pasien), diikuti kelompok Kelompok Sehat/Normal (Klaster 1) sebesar 30% (42 pasien), serta kelompok Risiko Rendah/Awal (Klaster 2) dan Risiko Tinggi (Klaster 3) yang memiliki proporsi minoritas setara masing-masing sebesar 12,1% (17 pasien).
Kata Kunci: Optimasi Elbow, Metode K-Menas, Clustering, Data Darah Pasien, Identifikasi Resiko Penyakit Kronis
Abstract: This study was conducted to examine the effect of using LAPS Heuristic-based E-LKPD on students’ learning outcomes. The research applied a quantitative approach with a pretest-posttest design. The sample of this study consisted…
y consisted of 36 students. Data
were collected through a pretest administered before the implementation of the E-LKPD
and a posttest conducted after the implementation of the LAPS Heuristic-based E-LKPD.
The obtained data were analyzed using a paired sample t-test to determine the differences
in learning outcomes before and after the treatment. The findings revealed that the
average pretest score was 69.36, while the average posttest score increased to 92.47. The
statistical analysis showed that the value of ???????????????????????? = 14.37, whereas the value of
???????????????????????? = 2.03at the 5% significance level. Since the value of ????????????????????????was higher than
????????????????????????, H₀ was rejected and H₁ was accepted. These results indicate that the use of LAPS
Heuristic-based E-LKPD had a significant effect on improving students’ learning
outcomes. Therefore, the LAPS Heuristic-based E-LKPD was considered effective for use
in the learning process.
Abstract:The research was motivated by the researcher's interest in improving students' mathematical concept understanding at MTS Ar-Rasyid. The purpose of this study was to determine the effect of the GeoGebra-Assisted TaRL approach…
oach on the problem-solving abilities at VIIIth-grade students of MTS Ar-Rasyid. This study used a quasi-experimental approach with a two-group pretest-posttest design. The population are all VIIIth-grade students of MTS Ar-Rasyid. The subjects are students at VIIIth-A class as the experimental class using the GeoGebra-Assisted TaRL approach and VIIIth-B class as the control class using the direct learning model. The materials used in this study were cubes and cuboids. After completing the learning, a posttest was given with an average result of the experimental class of 75,6000 and the control class of 58,6400. The results of the t-test obtained then was accepted, thus a significant influence was obtained by using the TaRL approach Assisted by the Geogebra Application on the Mathematical Concept Understanding Ability of Students at VIIIth grade students of MTS Ar-Rasyid.
Abstract:This study was conducted to examine the effect of using LAPS Heuristic-based E-LKPD on students’ learning outcomes. The research applied a quantitative approach with a pretest-posttest design. The sample of this study consisted…
consisted of 36 students. Data were collected through a pretest administered before the implementation of the E-LKPD and a posttest conducted after the implementation of the LAPS Heuristic-based E-LKPD. The obtained data were analyzed using a paired sample t-test to determine the differences in learning outcomes before and after the treatment. The findings revealed that the average pretest score was 69.36, while the average posttest score increased to 92.47. The statistical analysis showed that the value of , whereas the value of at the 5% significance level. Since the value of was higher than , H₀ was rejected and H₁ was accepted. These results indicate that the use of LAPS Heuristic-based E-LKPD had a significant effect on improving students’ learning outcomes. Therefore, the LAPS Heuristic-based E-LKPD was considered effective for use in the learning process.
Abstract:The aims of this study is to determine the effect of the Treffinger Learning model assisted by the Wordwall application on the mathematical problem-solving abilities of students at SMA N 1 Air Batu. This study is a quasi-experimental…
-experimental study with a Two Group Pretest-Posttest Design. The population in this study was the entire tenth grade, consisting of five classes. The sample consisted of two classes (Xth-1 and Xth-2) selected using cluster random sampling. Xth-1 class served as the control class using the conventional learning model, while Xth-2 class served as the control class using the Treffinger Learning model. After the instruction is completed, a posttest is conducted, showing the average results for the experimental 53,793 and control classes 40,459. The t-test results tcount = 8,057>ttable=2,003 so Ho is rejected and H1 accepted, indicating the influence of the Treffinger Learning model assisted by the Wordwall application on the mathematical problem-solving abilities of students at SMA N 1 Air Batu.
Abstract:The study aims to develop a guided inquiry-based teaching module assisted by GeoGebra on the Conceptual Understanding of Quadratic Functions at Xth grade Students of Mas Al-Mukhlisin Tanjung Tiram. This research is a Research…
earch and Development (R&D) study using the 4-D development model, which includes the stages of Define, Design, Development, and Disseminate. The instruments used in this study include validation, teacher and student response questionnaires, and a conceptual understanding test. Based on the validator's assessment results, the developed open module obtained a validity value of 86%, categorized as very valid. The results of the practicality of the teaching module based on the teacher's response questionnaire were 100% and students were 83,17%, categorized as very practical. Meanwhile, the effectiveness of the teaching module, as seen from the concept comprehension ability test, obtained a value of 80%, categorized as effective. Thus, the guided inquiry-based teaching module assisted by GeoGebra on the quadratic function material at Xth grade is declared suitable for use in learning because it has met the criteria of valid, practical, and effective.
Abstract:This study examines the effects of implementing Problem-Based Learning (PBL)-based worksheets integrated with Batak culture on students’ mathematical critical reasoning skills. A quantitative approach was used with a one-group…
ne-group pretest-posttest pre-experimental design. The research subjects were students in class XI-1 at SMAN 1 Air Putih, selected through purposive sampling. Data collection was conducted using an essay test. The analysis included a paired t-test, a normality test, and an N-gain analysis. The results showed that the data were normally distributed (pretest 0.293; posttest 0.356). The t-test yielded a significance level of 0.001 (<0.05), indicating a significant effect. The N-gain value of 0.67 falls into the moderate category, indicating an improvement in ability. Thus, PBL-based worksheets integrated with Batak culture are effective in developing students’ mathematical critical reasoning.
Abstract:The rapid advancement of digital technology has placed the government in the position of a large-scale personal data controller through various E-Government platforms and public service applications. However, the government's…
ent's capacity to protect this data has proven inadequate, as demonstrated by several major data breach incidents involving national platforms such as the Temporary National Data Center (PDNS) in 2024, Satu Sehat, and DPMPTSP Online. This research aims to analyze the civil liability of government agencies as personal data controllers in cases of personal data breaches, viewed through the framework of Law Number 27 of 2022 on Personal Data Protection (UU PDP) and Law Number 30 of 2014 on Government Administration (UU AP). The research method employed is normative juridical (doctrinal legal research) through a statutory approach and a conceptual approach, with primary legal materials drawn from the aforementioned laws and secondary materials from scientific articles and relevant legal textbooks. The findings indicate that the government, as a public body and personal data controller under UU PDP, can be held civilly liable when a data breach occurs due to negligence or unlawful acts in data management. Civil liability may arise through two mechanisms: the unlawful act (onrechtmatige overheidsdaad) mechanism under Article 1365 of the Civil Code, and the administrative court (PTUN) mechanism under UU AP. However, implementation faces significant obstacles, including the absence of government implementing regulations for UU PDP, fragmentation of supervisory authority, the absence of standardized compensation mechanisms, and limited institutional capacity. This research concludes that comprehensive regulatory harmonization, the establishment of a strong Personal Data Protection Authority, and the development of fast, accessible compensation procedures are urgently needed to realize effective legal protection for citizens' personal data.
Abstract:This study aims to analyze the role of work engagement in mediating the effect of digital transformation of human resource management (HRM) on employee performance in SMEs in Medan City. This research employs a quantitative…
ive approach with an explanatory design. Data were collected through questionnaires distributed to 100 SME employees using purposive sampling technique. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. The results indicate that digital transformation of HRM has a positive and significant effect on work engagement and employee performance. Work engagement also has a positive and significant effect on employee performance. Furthermore, work engagement significantly mediates the relationship between digital transformation of HRM and employee performance with partial mediation. These findings suggest that the success of digital transformation in improving employee performance depends not only on the implementation of technology but also on the level of employee work engagement. This study contributes theoretically to the development of digital HRM literature and provides practical implications for SMEs in managing human resources more effectively in the digital era.
Abstract:This study aims to analyze the effect of digital marketing capability on SME performance with market agility as a mediating variable. The research employs a quantitative approach with an explanatory design. The population…
n consists of SME actors in Kecamatan Medan Kota, with a sample of 100 respondents selected using purposive sampling. Data were collected through questionnaires using a Likert scale and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that digital marketing capability has a positive and significant effect on both SME performance and market agility. Market agility also has a significant positive effect on SME performance. Furthermore, market agility mediates the relationship between digital marketing capability and SME performance with partial mediation. These findings suggest that digital marketing capability will be more effective in improving SME performance when supported by the ability to adapt to market changes. This study contributes to the business management literature and provides practical implications for SME actors in optimizing adaptive digital marketing strategies to enhance business performance.