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KONDISI SOSIAL EKONOMI DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA NELAYAN SKALA KECIL DI DESA SAPEKEN, SUMENEP, JAWA TIMUR
Full text linkFishermen are the primary source of livelihood for the community in Sapeken Village, Sumenep, East Java. This study aims to assess the socioeconomic conditions and welfare levels of fishermen, measured through 10 indicators: household income, household expenditure, housing ownership, housing facilities, education of household members, health of household members, access to healthcare facilities, access to transportation facilities, safety from crime, and access to information and communication technology. Data were collected from 93 respondents between June and July 2024 over a period of two weeks. All respondents answered the same questions using a scale from one to three, and the weighted scores were totaled and averaged to produce three categories: prosperous, moderate, and less prosperous. The educational background of fishermen in Sapeken is mostly at the Senior High School level, with an average income exceeding IDR 2,249,000. Based on social conditions, the fishermen fall into a good category. Likewise, the economic conditions of the fishermen's households are also in good standing. The overall socioeconomic conditions of fishing households in Sapeken Village are classified as good, with a total score of 2.75 from the 10 parameters, indicating a high level of welfare. A score between 2.41 and 3.11 suggests that the fishing households are prosperous
Phytotherapy for Diabetes: A Preclinical Study of Ethanol Extract of Winged Bean (Psophocarpus tetragonolobus L.) Leaves in Diabetic Rat (Rattus norvegicus) Models
No full textThe long-term use of synthetic hypoglycemic agents is known to cause adverse side effects and induce drug resistance. Winged bean (Psophocarpus tetragonolobus L.), a traditional medicinal plant from Maluku, contains secondary metabolites such as flavonoids, saponins, and tannins, which are believed to have potential in lowering blood glucose levels. This study aimed to investigate the effect of ethanolic extract of winged bean leaves on blood glucose reduction and β-cell regeneration in the pancreas of white rats (Rattus norvegicus) as a diabetic model. Thirty rats weighing between 150–200 g were divided into five groups: Group I (negative control), Group II (positive control), and Groups III, IV, and V (diabetic rats treated with ethanolic extract of winged bean leaves at doses of 2.52 mg/g BW, 5.04 mg/g BW, and 7.56 mg/g BW, respectively). Streptozotocin (STZ) was administered to Groups II–V to induce diabetes. Rats with blood glucose levels exceeding 200 mg/dL were subsequently treated with the designated doses of the extract in Groups III–V. On the final day, blood glucose levels were measured, and pancreatic organs were harvested for histological analysis. The results demonstrated that the ethanolic extract of winged bean leaves at a dose of 7.56 mg/g BW effectively reduced blood glucose levels in diabetic rats
Analisis Perbandingan Indeks Kemiripan Tanah pada Topsekuens Granit Gunung Sirimau Kota Ambon
Full text linkThis study aims to identify and describe soil morphological traits in the granite toposequence and analyze these traits to assess the similarity index between soil profiles. This study used a survey method involving transect observations and complete profile observations. Variable soil observations were made in a downward direction, following each change in slope segment on the granite toposequence. The results showed that Cambisol (Dystrudepts) soils developed with physical and chemical properties on three profiles for soil color ranging from yellowish brown to brownish yellow and yellowish red to red. The soil texture ranges from loamy sand to dusty clay, and the soil structure is rounded cubical. The soil has an acidic to slightly acidic pH and a slightly sticky consistency when moist and very low to low C-organic content. The similarity index assessed in the three profiles includes parameters such as dust/clay ratio, pH H₂O, and C-organic, which are very similar due to the similarity of the constituent rock formations
Pengaruh Motivasi Belajar Terhadap Hasil Belajar Matematika Siswa SMA Negeri 10 Seram Bagian Barat
Full text linkMotivasi belajar merupakan salah satu faktor afektif penting yang memengaruhi pencapaian hasil belajar siswa, terutama dalam mata pelajaran matematika. Penelitian ini mengkaji tentang pengaruh motivasi belajar terhadap hasil belajar pada siswa SMA Negeri 10 Seram Bagian Barat. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik analisis regresi linier sederhana. Sampel penelitian terdiri atas 30 siswa kelas X yang dipilih secara purposive sampling. Pengukuran motivasi belajar dilakukan menggunakan angket berskala Likert, sementara hasil belajar diperoleh melalui tes akademik siswa. Hasil analisis menggunakan software SPSS v.25 menunjukkan bahwa motivasi belajar memiliki pengaruh yang signifikan terhadap hasil belajar matematika siswa, dengan kontribusi sebesar 60.3%. Temuan ini mengindikasikan bahwa upaya peningkatan motivasi belajar siswa dapat memberikan dampak substansial terhadap hasil belajar siswa atau prestasi akademik mereka. Hasil penelitian ini memberikan implikasi bagi guru dan sekolah untuk meningkatkan strategi pembelajaran yang berorientasi pada penguatan motivasi sehingga prestasi belajar siswa dapat lebih optimal
Women, Work, and Family: A Sociological Study on Female Income Contribution in Rural Maluku Communities
Full text linkThis study aims to analyze women’s economic contribution to household income and the dynamics of their dual roles within rural communities in Maluku, particularly in Sawai Village. Although men are traditionally recognized as primary breadwinners, socio-economic transformations have encouraged women to engage in productive activities such as farming, trading, tailoring, and public employment, yet their contributions remain socially and statistically undervalued. Using a qualitative approach within the framework of economic sociology and gender studies, this research employs in-depth interviews, participant observation, and social documentation, analyzed thematically through categories of economic contribution, domestic roles, social perception, and gender adaptation. The findings reveal that women in Sawai play a significant role in sustaining household economies, contributing an average of 28.38% to total income, with the highest contribution (42.70%) coming from formal employment. These results indicate a shift in the gendered division of labor, as women become integral to household economic structures despite limited social recognition under prevailing patriarchal norms. The study’s novelty lies in applying a locally grounded economic sociology perspective to postcolonial rural Maluku, integrating quantitative and qualitative insights. Theoretically, it advances discourse on gendered economic participation, while practically offering policy implications for culturally sensitive women’s economic empowerment in Indonesia’s eastern rural contexts
SOSIALISASI PAKAN ALTERNATIF BERBASIS TEPUNG MAGGOT SEBAGAI SUMBER PROTEIN UNGGAS DI DESA MOROME KECAMATAN KONDA KABUPATEN KONAWE SELATAN
Full text linkThe high and fluctuating cost of poultry feed has become a major constraint for smallholder farmers in Morome Village, Konda Subdistrict, South Konawe Regency. This condition undermines the sustainability of poultry farming and reduces farmers’ profit margins. One potential solution is the utilization of maggot (Hermetia illucens / Black Soldier Fly) meal as an alternative protein source that is environmentally friendly, economically viable, and can be locally produced from organic waste. This community service program aimed to enhance farmers’ knowledge and skills regarding maggot farming, processing into meal, and formulating alternative poultry feed. The implementation methods included participatory observation, interactive lectures through presentations, leaflets, and videos, followed by demonstrations and hands-on training on maggot farming and meal processing. The results showed that participants’ understanding of maggot as poultry feed increased, along with their technical skills in maggot cultivation and processing. Farmers also became more motivated to utilize organic waste as maggot rearing media. Strong enthusiasm was evident through active participation in practice sessions and group discussions. Therefore, this program successfully promoted the adoption of maggot-based alternative feed innovation, supporting both cost efficiency in poultry production and sustainable waste management
Pengaruh Model Pembelajaran Discovery Learning Terhadap Hasil Belajar Matematika Siswa pada Materi Bangun Ruang Sisi Datar di Kelas VIII SMP PGRI Klis
Full text linkTujuan dari penelitian ini adalah untuk mengetahui hasil belajar matematika siswa pada materi bangun ruang sisi datar dengan menerapkan model discovery learning, serta menganalisis besar pengaruhnya terhadap hasil belajar siswa. Metode yang diterapkan adalah kuasi eksperimen dengan rancanganpost-test only control group design.Sampel penelitian berjumlah 36 siswa kelas VIII SMP PGRI Klis tahun ajaran 2024/2025, yang terbagi menjadi 19 siswa pada kelas eksperimen dan 17 siswa di kelas kontrol. Instrumen penelitian adalah tes esai berupa empat butir soal pada ranah kognitif C3–C4.Analisis data dilakukan dengan uji independent sample t-test dan perhitungan effect size. Hasil analisis menunjukkan nilai rata-rata siswa pada kelas eksperimen mencapai 83,79, sedangkan kelas kontrol hanya memperoleh rata-rata 70,94. Uji independent sample t-test menghasilkan nilai Sig. (2-tailed) < 0,001, lebih kecil dari 0,05, yang menandakan adanya perbedaan signifikan di antara kedua kelompok. Selain itu, perhitungan effect size sebesar 2,85 yang termasuk kategori tinggi menegaskan bahwa penerapan discovery learning memberikan pengaruh yang kuat terhadap hasil belajar matematika pada materi bangun ruang sisi datar
Evaluating the Performance of Ordinal Logistic Regression and XGBoost on Ordinal Classification Datasets
Full text linkChoosing the appropriate classification model is crucial, especially when dealing with data featuring an ordinal dependent variable. This study explores and compares the performance of Ordinal Logistic Regression (OLR) and Ordinal XGBoost in classifying ordinal data using ten datasets obtained from the UCI Machine Learning Repository and Kaggle, which vary in the number of observations and features. Each dataset undergoes multicollinearity detection, an 80% training and 20% testing data split, and class balancing using SMOTE. Model performance is evaluated using metrics such as accuracy, F1-score, AUC, MSE, precision, and recall. The results show that ordinal XGBoost outperforms on datasets with complex structures and a higher number of features, achieving a maximum accuracy of 0.953. In contrast, Ordinal Logistic Regression demonstrates more stable performance on datasets with fewer features or balanced class distributions
Comparison of Random Forest and XGBoost Methods for Predicting Work Accident Claim Reserves
Full text linkThe potential high claim burden in the work accident insurance sector managed by BPJS Ketenagakerjaan have an impact on the company’s financial stability. This encourages insurance companies to provide additional funds to maintain the company’s operational sustainability. Thus, preparing future fund reserves is a crucial step in risk and financial management to minimize payment delays, up to the risk of default. This study aims to determine the best method for predicting work accident claim reserves by comparing the Random Forest and XGBoost methods. The result of the analysis shows that the XGBoost method has an outstanding ability to predict work accident claim reserves on BPJS Ketenagakerjaan in the period July 2016 to August 2023, with a MAPE of 5.14% and an accuracy rate of 94.86%
Analysis and Prediction of Turbidity Level of Water Based on Ammonia Substance Using Random Forest and K-Nearest Neighbor
Full text linkWater is the primary need for human survival. The need for clean water is very important, both in a household scale and in an industrial scale. The clean water used and consumed by the community comes from river water processed and distributed by the Regional Drinking Water Company (PDAM). Water conditions before being treated and distributed contain various harmful substances if not purified, one of which is ammonia. Currently, with the development of information technology, especially in the field of machine learning and data analysis, the process of predicting the content of ammonia substances in water is becoming increasingly facilitated. Machine learning has provided a number of scientific prediction methods that can be used. In this research, the methods used were Random Forest Regression and K-Nearest Neighbor (KNN) methods are used to predict turbidity level of water in PDAM Surya Sembada Surabaya. This research aims to compare robbustness and accuracy of prediction models. The Random Forest method produced the best prediction error value of 0.0934, while the K-Nearest Neighbor (KNN) method produced the best prediction error value of 0.0918