E-Jurnal Unimor (Universitas Timor)
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Proportional Reasoning of Junior High School Students in Solving Geometric Similarity Problems Based on Mathematical Disposition
No full textProportional reasoning is the foundation of mathematical abilities, including algebra, geometry, and statistics, and is influenced by students\u27 mathematical dispositions. The transition from additive to multiplicative reasoning plays a crucial role in problem-solving. This study explores junior high school students\u27 strategies in understanding geometric similarity through a qualitative case study involving three students in Surabaya selected through purposive sampling based on high, medium, and low mathematical dispositions This study uses a qualitative approach with a case study method. The subjects of the study consisted of three eighth-grade students purposively selected to represent high, medium, and low mathematical disposition, allowing an in-depth examination of how different dispositions influence proportional reasoning. The instruments used were similarity problem worksheets and semi-structured interview guidelines. Data were collected through student answers and interviews, then analysed through data reduction, data presentation, and drawing conclusions. The results showed differences in proportional reasoning strategies according to mathematical disposition: S1 at level 3 (Formal Reasoning), S2 at level 2 (Quantitative Reasoning), and S3 at level 0 (Non-Proportional Reasoning). Proportional reasoning develops when quantity coordination and multiplicative strategies are used in an integrated manner, in line with each student\u27s mathematical disposition. Student with high disposition consistently use ratio-based multiplicative strategies, student with medium disposition use multiplicative strategies, while student with low disposition tend to use additive rules or random approaches. These findings are exploratory and can serve as a basis for studying misconceptions and developing proportional learning
Analisis Pengaruh Kemiskinan Dan Pertumbuhan Ekonomi Terhadap Tingkat Indeks Pembangunan Manusia Di Provinsi Lampung Tahun 2013 – 2022
No full textIndeks Pembangunan Manusia (IPM) mengukur pencapaian pembangunan manusia berbasis sejumlah komponen dasar kualitas hidup sebagai ukuran kualitas hidup. Indeks Pembangunan Manusia (IPM) dibangun melalui pendekatan empat dimensi dasar, yaitu dimensi yang mencakup umur panjang, sehat, pengetahuan, dan kehidupan layak. Keempat dimensi tersebut memiliki pengertian sangat luas karena terkait banyak faktor. Untuk mengukur dimensi kesehatan digunakan angka harapan hidup waktu lahir. Selanjutnya untuk mengukur dimensi pengetahuan digunakan gabungan indikator angka melek huruf dan rata-rata lama sekolah. Adapun untuk mengukur dimensi hidup layak digunakan indikator kemampuan daya beli masyarakat terhadap sejumlah kebutuhan pokok yang dilihat dari rata-rata besarnya pengeluaran per kapita sebagai pendekatan pendapatan yang mewakili pencapaian pembangunan untuk hidup layak. Penelitian ini bertujuan untuk menganalisis pengaruh Kemiskinan dan Pertumbuhan Ekonomi terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Lampung tahun 2013–2022 secara parsial maupun secara bersama-sama. Penelitian ini menggunakan metode kuantitatif dengan metode pengumpulan data dalam penelitian ini yaitu menggunakan data time series selama kurun waktu 10 tahun yaitu tahun 2013–2022 dari total keseluruhan di Provinsi Lampung. Sumber data yang digunakan adalah sumber data sekunder yang diperoleh dari Badan Pusat Statistik (BPS) Provinsi Lampung kemudian dianalisa melalui uji asumsi klasik, uji hipotesis, uji regresi linear berganda dan koefisien determinasi menggunakan aplikasi E-views
Peran Sumber daya alam dalam Pembangunan Ekonomi Lokal dan Regional
No full textSumber daya alam (SDA) memiliki peranan penting dalam pembangunan ekonomi, baik dalam tingkat lokal maupun regional. Artikel ini menggunakan metodologi analisis literatur dari berbagai jurnal yang membahas pemanfaatan dari sumber daya alam. Sumber pembahasan terdiri dari berbagai konteks yang berbeda, termasuk sektor perikanan, pariwisata, pertambangan, dan migas. Hasil menunjukkan bahwa sumber daya alam dapat menjadi penggerak pertumbuhan ekonomi jika dikelola dengan baik dan berkelanjutan. Tantangan seperti kualitas pengelolaan, keterlibatan pemerintah, serta dampak lingkungan harus diatasi melalui pendekatan terpadu dan kolaborasi antara pemerintah, masyarakat, dan sektor swasta
Analisis Determinan Terhadap Kemiskinan Di Provinsi Nusa Tenggara Timur Tahun 2023-2024
No full textMasalalah dalam penelitian ini adalah angka kemiskinan setiap kabupaten di Provinsi NTT yang berbeda-beda yang disebabkan oleh investasi, pengangguran dan kesempatan kerja yang berbeda antara satu kabupaten dengan kabupaten lainnya di Provinsi NTT. Penelitian ini bertujuan untuk mengetahui pengaruh investasi, pengangguran, dan kesempatan kerja terhadap tingkat kemiskinan di Provinsi Nusa Tenggara Timur. Penelitian ini di lakukan di Provinsi Nusa Tenggara Timur. Sumber data yang digunakan dalam penelitian ini adalah data sekunder bersifat time series dan cross section tahun 2023 dan 2024. Teknik pengumpulan data menggunakan metode dokumentasi. Alat analisis yang digunakan adalah regresi data panel. Hasil penelitian menggunakan regresi data panel dengan metode random effect menunjukan bahwa secara parsial dan simultan investasi, pengangguran dan kesempatan kerja tidak berpengaruh signifikan terhadap kemiskinan di Provinsi NT
Digital Game-Based Learning in Primary Mathematics: A Systematic Review and Meta-Analysis of Research Trends and Learning Outcomes
No full textThis study presents a systematic literature review and meta-analysis of 37 empirical articles examining the implementation of Digital Game-Based Learning (DGBL) in primary school mathematics education from 2018 to 2025. Utilizing the PRISMA framework and thematic coding techniques, the study analyzes publication trends, geographical distribution, mathematical content coverage, research methodologies, as well as the types and modes of games employed. The findings indicate a significant increase in publications after 2020, with 42% originating from Asia, particularly China, Indonesia, and Malaysia. Numeracy topics, such as numbers and arithmetic operations, dominate 86% of the studies, while topics like statistics and probability remain underrepresented. Quantitative approaches, especially experimental designs, account for 68% of the methodologies used. Mini-games and individual gameplay modes are the most commonly adopted, whereas collaborative and narrative-based modes remain limited. The meta-analysis reveals that DGBL has a significant positive impact on conceptual understanding, learning motivation, and problem-solving skills. These findings highlight the importance of developing more inclusive, contextualized, and adaptive DGBL designs to strengthen foundational mathematical literacy in the digital era
ANALITICAL HIERARCHY PROCESS PENENTUAN KELAYAKAN PEMBERIAN PINJAMAN KREDIT USAHA RAKYAT BANK BRI MALAKA: ANALYTICAL HIERARCHY PROCESS DETERMINING THE FEASIBILITY OF PROVIDING PEOPLE\u27S BUSINESS CREDIT LOANS BANK BRI MALAKA
No full textKredit usaha rakyat (KUR) is a program launched by the government but the source of funds comes entirely from banks. Bank BRI Malaka is one of the banks trusted by the government to provide KUR facilities to the public.the increasing public interest in getting KUR, makes it difficult for banks to determine who is eligible to receive KUR or not. To overcome these problems, it is necessary to have a method that can provide recommendations for making the right decisions for prospective customers. This study aims to apply the Analytic Hierarchy Process (AHP) method in determining the priority order of selecting prospective customers by comparing one customer with another. The criteria to be considered are credit status, business conditions, income, guarantees and the number of customers involved in this study as many as 15 prospective customers. Data collection in this study was carried out by distributing questionnaires to 5 Mantri Bank BRI Malaka who were tasked with surveying the 15 prospective customers. Data is processed using the AHP method. AHP is used to produce a more consistent order of priority of each alternative. From the results of the analysis with AHP, 10 prospective customers were obtained in the highest order of priority who deserved to be given a KUR loan
Estimation of Path Coefficient Parameter Based on The Best RMSEA Value in Structural Equation Modeling Weighted Least Square
No full textStructural Equation Modeling (SEM) is a statistical approach widely used to analyze causal relationships between latent and observed variables. A key issue in SEM lies in selecting an appropriate parameter estimation method, as it strongly affects the accuracy and interpretation of results. Among the most common estimation techniques are Maximum Likelihood (ML) and Weighted Least Squares (WLS). This study aims to compare the performance of ML and WLS in estimating path coefficients within SEM analysis. Using simulated data generated with the simulateData() function from a predefined structural model, three scenarios are examined with sample sizes of 500 and 1000. Data transformation procedures are applied to ensure consistency before model testing. Each SEM model is then estimated using both ML and WLS, and the results are evaluated through Root Mean Square Error of Approximation (RMSEA) values obtained from 100 replications. Findings indicate that WLS generally outperforms ML in terms of model fit and stability. In the first scenario with a sample size of 500, WLS achieves a lower average RMSEA (0.0141) compared to ML (0.0172). With a sample size of 1000 in the second scenario, both methods produce similar RMSEA values (0.009 for WLS and 0.0096 for ML), though WLS demonstrates lower variability. In the third scenario, also with a sample size of 1000, WLS records an average RMSEA of 0.0074 versus 0.0092 for ML. Overall, the results suggest that WLS is more effective and reliable than ML in providing accurate parameter estimates across different data conditions and sample sizes
OPTIMALISASI PRODUKSI AYAM BROILER DENGAN MENGGUNAKAN GOAL PROGRAMMING (Studi Kasus : Peternakan Mitra Sinar Jaya (MSJ) di Umalelu, Desa Aebubu Kecamatan Paga, Kabupaten Sikka)
No full textMitra Sinar Jaya\u27s Broiler Chicken Farm in Umalelu, Aebubu Village, Paga District, Sikka Regency, is an example of a livestock business that seeks to increase production and profits. Owners face difficulties to optimize various production components, including DOC, feed, medicines, husks, labor, cage capacity, and electricity use. The purpose of this study is to optimize the use of production factors to achieve maximum production and maximize profits. To optimize production factors and maximize profits, a method is used, namely Goal Programming assisted by lingo software. Based on the results of this study, it shows that cage 1 is more efficient in achieving the production target than cage 2, so that resource allocation is more directed to cage 1. The needs of Broiler Chicken production factors are DOC input of 5154 heads, feed use of 7731 Kg, use of 52 sacks of husks, use of electricity 2072 KwH, use of medicines 5051 grams, labor force of 2 people, cage capacity of 5154 heads. With a profit reaching Rp98,584,400.00 per harvest cycle
PENGARUH PENDIDIKAN TERHADAP PARTISIPASI MASYARAKAT DALAM PEMBANGUNAN DI DESA NAEKAKE A KECAMATAN MUTIS KABUPATEN TIMOR TENGAH UTARA
No full textThe issue in this research is whether there is an influence of education on community participation. This study aims to determine the influence of education on community participation in development in Naekake A Village, Mutis District, North Central Timor Regency. This type of research uses quantitative research methods. The population in this study totaled 1,734 people and the sample consisted of 95 individuals. This research was conducted in Naekake A Village, Mutis District, North Central Timor Regency. The data sources come from primary and secondary data. Data collection techniques used questionnaires, observations, and documentation. Data analysis techniques use Spearman Rank Correlation and the Coefficient of Determination (R2). The research results indicate that there is an influence between education and community participation in development in Naekake A Village of 17.5%, while the remaining 82.5% is influenced by other variables outside this research model
An Analysis of Intrinsic and Extrinsic Elements in MONKEY MAJIK’s Songs
No full textThis study aims to explain the intrinsic and extrinsic elements in the lyrics of Monkey Majik\u27s songs to the readers. The research method used is a descriptive, qualitative approach with a textual analysis. The research object consists of song lyrics, which are analyzed by classifying the data into tables, lyric quotes, and narrative descriptions for better understanding. The findings show that the lyrics of Monkey Majik’s songs contain intrinsic elements such as theme, tone, and setting, as well as extrinsic elements such as cultural background, social values, and educational values. The researcher concludes that Monkey Majik\u27s songs hold deep meanings and life values conveyed through poetic language and diverse cultural backgrounds, making them worthy of being considered literary works that emotionally touch the audience