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All Journal Jurnal Ilmu Pendidikan Indonesia Poltekita : Jurnal Ilmu Kesehatan Leibniz: Jurnal Matematika Mathematics and Applications (MAp) Journal UNP Journal of Statistics and Data Science Indonesian Journal of Statistics and Its Applications
Dwi Sulistiowati, Dwi
Mahasiswa Pendidikan Fisika FKIP Universitas Cenderawasih
Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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PENGARUH PENDEKATAN KONSTRUKTIVISME TERHADAP HASIL BELAJAR SISWA KELAS VIII SMP NEGERI 11 JAYAPURA PADA POKOK BAHASAN GETARAN DAN GELOMBANG TAHUN AJARAN 2012/2013 Budiarti, Indah Slamet; Lumbu, Albert; Sulistiowati, Dwi
Jurnal Ilmu Pendidikan Indonesia Vol 1, No 2 (2013): Jurnal Ilmu Pendidikan Indonesia
Publisher : Magister Pendidikan IPA, UNCEN

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research was made to know the relation and the influence of constructive approach to the learning result of students in grade 8th SMP N 11 Jayapura for the vibration and wave lesson of 2012/2013 academic year. This research is quantitative research. The population of this research are all of grade 8th students of SMP N 11 Jayapura. The technique of data collection that used is purposive sampling, with 32 students as the sample to know the relationship between the constructive approach with the learning result, correlation analysis has been used to prove it with the result tcount > ttable, equal 4.044 > 2.042, it means there’s any relationship between constructive approach to the learning result, while to know the influence between constructive approach to the learning result, regressive analysis has been applied with the result Fcount > Ftable , equal 16.358 > 4.17, it means there’s an influence between the constructive approach to the learning result of the students. Key word: constructive approach, the learning result.
MENENTUKAN MINIMUM SPANNING TREE PADA JARINGAN PLN DI KECAMATAN PADANG TIMUR KOTA PADANG Rina, Iswan; Sulistiowati, Dwi; Rianjaya, Ilham D
MAp (Mathematics and Applications) Journal Vol 1, No 2 (2019)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.278 KB) | DOI: 10.15548/map.v1i2.1184

Abstract

Pada tulisan ini akan ditunjukkan penyelesaian data PLN dengan meminimumkan jarak  atau menentukan jarak terpendek dari data PLN, dengan kata lain mencari minimum spanning tree dari model tree yang terbentukAbstractIn this paper we will show the completion of PLN data by minimizing distance or determining the shortest distance from PLN data, in other words looking for a minimum spanning tree from the tree model formed 
Penerapan Algoritma Extreme Gradient Boosting dengan ADASYN untuk Klasifikasi Rumah Tangga Penerima Program Keluarga Harapan di Provinsi Sumatera Barat Susrifalah, Amelia; Vionanda, Dodi; Kurniawati, Yenni; Sulistiowati, Dwi
UNP Journal of Statistics and Data Science Vol. 3 No. 2 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss2/369

Abstract

Program Keluarga Harapan (PKH) is a form of social protection provided by the government to overcome poverty in Indonesia. However, challenges remain in accurately predicting eligible households. Therefore, a data-based classification method is needed to identify PKH recipients based on their factors. This research was conducted in West Sumatra Province using variables from the Data Terpadu Kesejahteraan Sosial (DTKS) variable group contained in SUSENAS 2024. Based on data from Badan Pusat Statistik (BPS) of West Sumatera Province, there are 1.790 PKH recipient households and 9.810 non-recipient households, indicating a class imbalance. Considering the large amount of data and complex variables, PKH can be analyzed using the Extreme Gradient Boosting (XGBoost) algorithm because of its ability to handle large-scale data and produce high classification performance. To address data imbalance, Adaptive Synthetic (ADASYN) was applied before analysis. The application of XGBoost with the scale_pos_weight parameter shows low classification performance, with sensitivity value of 12.3% and balanced accuracy of 55.2%. To overcome this, unbalanced data was handled using the ADASYN method. The application of XGBoost after data balancing with ADASYN showed significant performance improvement, with sensitivity value 80.4% and balanced accuracy 88.1%. In classifying PKH recipient households, the variables that make an important contribution are the age of the head of household, floor area, diploma of the head of household, floor material and number of household Members. This research shows that the combination of XGBoost and ADASYN is effective in overcoming data imbalance and improving PKH recipient classification performance.
Pengelompokan Kabupaten/Kota Maluku dan Nusa Tenggara Barat Berdasarkan Faktor Kemiskinan Menggunakan Self Organizing Maps Aulia, Yuke; Sulistiowati, Dwi; Kurniawati, Yenni; Salma, Admi
Leibniz: Jurnal Matematika Vol. 5 No. 02 (2025): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v5i02.607

Abstract

Provinsi Maluku dan Nusa Tenggara Barat masih menghadapi tantangan serius dalam upaya pengentasan kemiskinan. Kedua provinsi ini tidak hanya mengalami peningkatan persentase penduduk miskin, tetapi juga termasuk sebagai wilayah dengan persentase penduduk miskin tertinggi di Indonesia. Persentase penduduk miskin di Provinsi Maluku pada tahun 2023 mencapai 16,42%, naik sebesar 0,45%. Sementara itu, persentase penduduk miskin di Provinsi Nusa Tenggara Barat mencapai 13,85%, naik sebesar 0,17%. Angka-angka ini masih jauh dari target pemerintah yang menetapkan 6%-7% untuk persentase kemiskinan nasional. Penelitian ini bertujuan untuk mengelompokkan kabupaten/kota di Provinsi Maluku dan Nusa Tenggara Barat berdasarkan faktor yang memengaruhi kemiskinan serta mengidentifikasi karakteristik hasil klaster yang terbentuk. Penelitian ini menggunakan metode Self Organizing Maps (SOM). Data penelitian ini bersumber dari publikasi Badan Pusat Statistik (BPS), yaitu Maluku dalam Angka 2024 dan Nusa Tenggara Barat dalam Angka 2024. Hasil analisis menunjukkan terbentuknya 3 klaster wilayah yang divalidasi menggunakan pendekatan validasi internal (Connectivity, Dunn, dan Silhouette). Klaster 1 terdiri dari 2 kota ditandai oleh keunggulan dalam indikator pendidikan, kesehatan, dan ekonomi. Klaster 2 terdiri dari 15 kabupaten/kota yang dicirikan dengan potensi tenaga kerja yang tinggi, namun mengahadapi tantangan jumlah penduduk yang besar. Sementara itu, klaster 3 terdiri dari 4 kabupaten memiliki keterbatasan dalam berbagai aspek, termasuk pendidikan, kesehatan, ekonomi, dan infrastruktur.
The Effect of Soy Milk Consumption on the Duration of Perineal Wound Healing in Postpartum Mothers Usman, Hastuti; Sulistiowati, Dwi; Pont, Anna Veronica; Longulo, Olkamien Jesdika; Muliani, Muliani; Nurfatimah, Nurfatimah; Silfia, Niluh Nita; Dewie, Artika
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 4 (2024): February
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i4.2010

Abstract

Perineal wounds in postpartum mothers that do not heal promptly within several days can lead to infections. Nutritional status is also considered a crucial factor in the wound-healing process. Mothers with good nutritional status tend to experience faster healing of perineal wounds, including those with protein intake from processed soy milk. This research aims to determine the impact of soy milk consumption on the duration of perineal wound healing in postpartum mothers at the Independent Midwife Practice (IMP) Sriwati Palu. The study design employed a pre-experimental design with an Intact Group Comparison approach. The sample consisted of 16 postpartum mothers with second-degree perineal wounds at the IMP Sriwati Palu, selected through quota sampling. Univariate and bivariate analyses using the Mann-Whitney U test were conducted. The research findings indicate that respondents who consumed soy milk were four times more likely to experience faster healing compared to those who did not consume soy milk. The Mann-Whitney U test yielded a ρ-value of 0.000 (<0.05), suggesting a statistically significant influence of soy milk consumption on the duration of perineal wound healing in postpartum mothers at the IMP Sriwati Palu. In conclusion, soy milk consumption has a significant impact on the duration of perineal wound healing in postpartum mothers at the IMP Sriwati Palu.
Comparison of K-Means and K-Medoids in Clustering Regency/City in West Sumatra Province Based on Environmental Indicators Robiati, Silfi; Fitria, Dina; Vionanda, Dodi; Sulistiowati, Dwi
Indonesian Journal of Statistics and Applications Vol 8 No 2 (2024)
Publisher : Statistics and Data Science Program Study, IPB University, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v8i2p191-201

Abstract

The Environmental Quality Index is an index that describes the condition of environmental management results nationally, and generalises from all regencies/cities and provinces in Indonesia. Although the Environmental Quality Index of West Sumatra Province has increased, there are still regencies/cities in West Sumatra Province have decreasing Environmental Quality Index. Therefore, it is necessary to conduct further analysis, one of which is to form a group of regencies/cities into a group according to their similarities or characteristics. This study aims to compare the K-Means and K-Medoids methods in grouping regencies/cities in West Sumatra Province based on environmental quality indicators in 2023. The data used in this research is secondary data, which is orginally the publication of Central Bureau of Statistics namely Sumatera Barat Dalam Angka in 2024. The research compares the K-Means cluster method and the K-Medoids cluster method. It concludes K-Means better than K-Medoids methods based on DB index with three clusters. First cluster has 12 regencies/cities with a high average air quality index, the second cluster has 6 regencies/cities that have small amounts of waste, and the third cluster has 1 city with a high average water quality index and land quality index, but a large amount of waste.   Keywords: Cluster, Comparison, Environmental, K-Means, K-Medoids
Co-Authors Albert Lumbu Anna Veronica Pont Aulia, Yuke Dewie, Artika Dina Fitria, Dina Dodi Vionanda Hastuti Usman Indah Slamet Budiarti, Indah Slamet Muliani Muliani, Muliani Nurfatimah Nurfatimah Olkamien Jesdika Longulo Rianjaya, Ilham D Rina, Iswan Robiati, Silfi Salma, Admi Silfia, Niluh Nita Susrifalah, Amelia Yenni Kurniawati