scholarly journals Pengelompokkan Provinsi di Indonesia Berdasarkan Faktor Penyebab Balita Stunting Menggunakan Analisis Cluster Hierarki

2021 ◽  
Vol 5 (1) ◽  
pp. 61-70
Author(s):  
Dodi Satriawan ◽  
Dwi Agus Styawan
Keyword(s):  
Cluster Analysis ◽  
Household Income ◽  
Secondary Data ◽  
Normal Height ◽  
Fourth Group ◽  
The Third ◽  
Different Characteristics ◽  
Full Immunization ◽  
Very High ◽  
Ward Method

The stunting condition is characterized by the growth of childrens who are slow and fail to reach normal height. Some of the causes of stunting include household access to sanitation and drinking water sources, initiation of early breastfeeding, exclusive breastfeeding, full immunization, household income, and household access to nutritious food. This study aims to classify provinces in Indonesia based on the causes of stunting. The source of the data used is secondary data from the Ministry of Health and BPS in 2017. Clustering was carried out using the ward method cluster analysis. The clustering results are four groups with different characteristics. The first group of 16 provinces was a group with a high stunting factor. The second group consisting of 8 provinces was a group with a moderate stunting factor. The third group consisting of 6 provinces is a group with a low stunting factor. The fourth  group consisting of 4 provinces is a group with a very high stunting factor.

scholarly journals Pemetaan dan Pengelompokan Karakteristik Usaha Pariwisata di Kota Manado Menggunakan Analisis Biplot

2021 ◽  
Vol 21 (1) ◽  
pp. 85
Author(s):  
Tamariska Ega Tabitha Mandagi ◽  
Djoni Hatidja ◽  
Mans Mananohas
Keyword(s):  
Secondary Data ◽  
Fourth Group ◽  
Advantages And Disadvantages ◽  
The Third ◽  
Biplot Analysis ◽  
Tourism Enterprises

Tujuan Penelitian ini, yaitu memetakan kelebihan dan kekurangan kecamatan-kecamatan di Kota Manado serta menggelompokan karakteristik usaha pariwisata yang ada di Kota Manado dengan menggunakan metode biplot. Data yang digunakan dalam penelitian ini adalah data sekunder yakni data jumlah usaha pariwisata tahun 2019 yang diperoleh dari  Dinas Pariwisata dan Kebudayaan Kota Manado. Hasilnya menunjukkan bahwa objek dalam hal ini kecamatan-kecamatan yang dapat dikelompokkan memiliki karakteristik usaha pariwisata yang relatif sama adalah 1). Malalayang, Wanea, dan Sario 2). Bunaken, Singkil, Tuminting, Tikala, Paal Dua, dan Mapanget 3). Bunaken Kepulauan 4). Wenang. Kelompok pertama memiliki jumlah usaha pariwisata yang cukup pada hampir keseluruhan usaha pariwisata yang ada, tapi masih perlu diperhatikan untuk usaha pariwisata Kawasan Pariwisata, Penyediaan Akomodasi, dan Wisata Tirta. Kelompok kedua, merupakan kelompok kecamatan yang butuh banyak perhatian untuk dikembangkan lagi dikarenakan masih banyak kecamatan yang jumlah usaha pariwisatanya masih kurang bahkan tidak ada di kecamatan-kecamatan ini. Kelompok ketiga, kecamatan Bunaken Kepulauan memiliki jumlah usaha pariwisata yang paling unggul untuk usaha pariwisata Wisata Tirta, tapi untuk usaha pariwisata lainnya masih perlu dikembangkan lagi. Kelompok keempat, kecamatan Wenang memiliki jumlah usaha pariwisata yang unggul pada keseluruhan usaha pariwisata yang ada.Kata kunci: Analisis biplot; pengelompokan; usaha pariwisata; Manado Mapping and Grouping the Characteristics of Tourism Enterprises in Manado City Using Biplot AnalysisABSTRACTThe aims of this research was mapping the advantages and disadvantages of sub-districts in Manado City and grouping the characteristics of tourism enterprises in Manado City using the biplot analysis. The data used in this research are secondary data which is tourism enterprises data in 2019 that obtained from the Department of Tourism and Culture of Manado City. The results show that the object or sub-districts can be grouped having relatively similar tourism enterprises characteristics, are 1). Malalayang, Wanea, and Sario 2). Bunaken, Singkil, Tuminting, Tikala, Paal Dua, and Mapanget 3). Bunaken Kepulauan 4). Wenang. The first group has a sufficient number of tourism enterprises, but still needs to be considered for tourism businesses in the Tourism Area, Provision of Accommodation, and Water Tourism. The second group, is sub-district group that needs a lot of attention to be developed again. The third group, Bunaken Kepulauan has the most superior number for Water Tourism, but for other tourism enterprises it still needs to be developed further. The fourth group, Wenang has a number of tourism enterprises that excel in all existing tourism enterprises.Keywords: Biplot analysis; grouping; tourism enterprises; Manado

scholarly journals Analysis of the Competitiveness of Pond Cultivation Fisheries Production in West Java Province

2021 ◽  
pp. 1-7
Author(s):  
Melda Nurul Winda Sari ◽  
Asep Agus Handaka Suryana ◽  
Achmad Rizal ◽  
Atikah Nurhayati
Keyword(s):  
Statistical Data ◽  
Secondary Data ◽  
Expert Judgment ◽  
Primary Data ◽  
Literature Study ◽  
West Java ◽  
The Third ◽  
Very High ◽  
Aquaculture Production

This study aims to analyze the competitiveness of aquaculture production in West Java Province. The research was carried out from August 2020 – September 2021. The method used was a literature study to determine the competitiveness of aquaculture in 27 districts/cities in West Java Province. After processing the data, the data will be analyzed descriptively. Primary data in the form of expert judgment consisting of 20 people regarding the proportion of competitiveness of aquaculture. Secondary data in statistical data on Pond Cultivation Fisheries 2004 – 2019 Department of Marine and Fisheries of West Java Province. The results of this study indicate that the competitiveness profile of aquaculture in 2019 in West Java Province with the first rank of very high competitiveness is occupied by Indramayu Regency, the second rank of very high competitiveness is occupied by Subang Regency, and Karawang Regency occupies the third rank of very high competitiveness.

scholarly journals PENGELOMPOKAN PROVINSI-PROVINSI DI INDONESIA MENGGUNAKAN METODE WARD (StudiKasus: Produksi Tanaman Pangan di Indonesia Tahun 2018)

2020 ◽  
Vol 9 (1) ◽  
pp. 112-121
Author(s):  
Besya Salsabilla Azani Arif ◽  
Agus Rusgiyono ◽  
Abdul Hoyyi
Keyword(s):  
Cluster Analysis ◽  
Crop Production ◽  
Secondary Data ◽  
Hierarchical Cluster ◽  
Food Crop ◽  
Sweet Potatoes ◽  
Green Beans ◽  
Homogeneous Groups ◽  
Cluster Analysis Method ◽  
Ward Method

Cluster analysis is a technique for grouping objects or observations into homogeneous groups. Cluster analysis is divided into two methods, namely hierarchy and non-hierarchy. The hierarchy method generally involves a series of n-1 decisions (n is the number of observations) that combine observations into a tree-like structure or dendogram. Hierarchy is divided into two methods, namely agglomerative (concentration) and splitting (distribution). For non-hierarchical methods, the number of clusters can be determined by the researcher. Ward method is a hierarchical cluster analysis method that can maximize homogeneity in the cluster. The  Sum-of-Square (SSE) formula is used in this method to minimize variations in the clusters that are formed. In this research, squared euclid distance is used to measure the similarity between object pairs. The data used in this study are secondary data on food crop production, namely rice, corn, soybeans, peanuts, green beans, sweet potatoes, and cassava in Indonesia 2018. To determine the cluster, the elbow method is used to form optimal clusters using WSS formula. Based on the analysis results, it was found that the optimal cluster is four clusters. The first cluster consists of 9 Province, the second cluster consists of 20 Province, the third cluster consists of 1 Province, the fourth cluster consists of  2 Province, and the fifth cluster consists of 2 Province.Keywords: Food Crop, Cluster Analysis, Ward Method, Squared Euclid, Elbow Method

scholarly journals PENGELOMPOKAN DOSEN BERDASARKAN PROSES PEMBELAJARAN DI PROGRAM STUDI MATEMATIKA FMIPA UNSRAT PADA SEMESTER GENAP 2017/2018 MENGGUNAKAN METODE WARD

2019 ◽  
Vol 19 (1) ◽  
pp. 46
Author(s):  
Josua A.S Pamekas ◽  
Djoni Hatidja ◽  
Jantje D Prang
Keyword(s):  
Cluster Analysis ◽  
College Student ◽  
Learning Process ◽  
Euclidean Distance ◽  
Descriptive Statistics ◽  
Study Program ◽  
Maximum Performance ◽  
The Third ◽  
Ward Method

Penelitian ini bertujuan untuk mengelompokkan dosen-dosen yang mengajar di Program Studi (PS) Matematika FMIPA UNSRAT pada semester genap 2017/2018. Data diperoleh melalui kuesioner yang dibagikan kepada mahasiswa yang mengikuti perkuliahan semester genap 2017/2018 dan dianalisis dengan menggunakan statistika deskriptif dan metode ward. Hasil analisis menunjukkan bahwa DS5 merupakan dosen yang melakukan kinerja dengan sangat maksimal dalam proses pembelajaran, sedangkan dosen yang tidak maksimal kinerjanya pada proses pembelajaran adalah DS20. Untuk hasil pengelompokan terdapat 5 kelompok dosen-dosen yang mengajar di PS Matematika FMIPA UNSRAT dan kelompok dosen yang sangat baik dalam proses pembelajaran adalah kelompok ketiga yang terdiri dari DS4, DS14, DS15, DS9, DS5, dan DS6. Kata kunci: Analisis Gerombol, Metode Ward, Jarak Euclidean, Dosen, Proses Pembelajaran GROUPING OF LECTURER BASED ON LEARNING PROCESS AT MATHEMATICS STUDY PROGRAM IN FMIPA UNSRAT IN EVEN SEMESTER 2017/2018 USING WARD METHOD ABSTRACTThis research aims to classify lecturers who teach at Mathematics Study Program in FMIPA UNSRAT in even semester 2017/2018. The data obtained from questionnaire which is shared to college student who take the class in even semester 2017/2018 and analyzed using descriptive statistics and Ward method. The result of the analysis show that DS5 is the lecturer who did the maximum performance in learning process, while the lecturer who didn’t do the maximum performance is DS20. For the grouping result, there are 5 groups of lecturers who teach at Mathematics Study Program in FMIPA UNSRAT and the best group of learning process is the third group which consist of DS4, DS14, DS15, DS9, DS5, and DS6. Keywords: Cluster Analysis, Ward Method, Euclidean Distance, Lecturer, Learning Process

Monte Carlo Algorithms for Moments of Transition Arrays

1988 ◽  
Vol 102 ◽  
pp. 79-81
Author(s):  
A. Goldberg ◽  
S.D. Bloom
Keyword(s):  
Monte Carlo ◽  
State Vector ◽  
Basis Vector ◽  
Collective State ◽  
Dispersion Characteristics ◽  
Dipole Strength ◽  
The Third ◽  
Monte Carlo Algorithms ◽  
Third Moment ◽  
Very High

AbstractClosed expressions for the first, second, and (in some cases) the third moment of atomic transition arrays now exist. Recently a method has been developed for getting to very high moments (up to the 12th and beyond) in cases where a “collective” state-vector (i.e. a state-vector containing the entire electric dipole strength) can be created from each eigenstate in the parent configuration. Both of these approaches give exact results. Herein we describe astatistical(or Monte Carlo) approach which requires onlyonerepresentative state-vector |RV> for the entire parent manifold to get estimates of transition moments of high order. The representation is achieved through the random amplitudes associated with each basis vector making up |RV>. This also gives rise to the dispersion characterizing the method, which has been applied to a system (in the M shell) with≈250,000 lines where we have calculated up to the 5th moment. It turns out that the dispersion in the moments decreases with the size of the manifold, making its application to very big systems statistically advantageous. A discussion of the method and these dispersion characteristics will be presented.

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

STRATEGI MAKSIMALISASI ANGGARAN BELANJA PADA BALAI PENELITIAN DAN PENGEMBANGAN LINGKUNGAN HIDUP DAN KEHUTANAN MANOKWARI

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Arif Hasan ◽  
Dedi Budiman Hakim ◽  
Irdika Mansur
Keyword(s):  
Decision Making ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Fiscal Year ◽  
The Third ◽  
Swot Matrix ◽  
Three Stages ◽  
Using Data

This study aims to analyze causes of the low uptake of the budget and formulate a strategy of maximizing the absorption of expenditure on Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari. Respondents involved are 20 people that consist of: treasury officials and holder output of activity. The data used were secondary data in the form of reports on budget realization (LRA) quarter I, II, III and IV of the fiscal year 2011 to 2015, and the primary data were in the form of interviews with the help of a questionnaire. While the analysis of the data used was descriptive analysis using data tabulation, and the analysis of the three stages strategy of the decision making used IFE and EFE matrix, SWOT matrix and QSPM matrix.The results showed that there are 19 factors causing low of budget absorption until the end of the third quarter, and there were 10 drafts of policy as a strategy for maximizing the absorption of the budget on Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari.ABSTRAKPenelitian ini bertujuan untuk menganalisis penyebab rendahnya penyerapan anggaran belanja dan merumuskan strategi maksimalisasi penyerapan anggaran belanja pada Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari. Responden yang terlibat adalah 20 orang yaitu pejabat perbendaharaan dan pemegang output kegiatan. Data yang digunakan adalah data sekunder berupa laporan realisasi anggaran (LRA) triwulan I, II, III dan IV tahun anggaran 2011 sampai 2015, dan data primer berupa wawancara dengan bantuan kuesioner. Sedangkan analisis data yang digunakan adalah analisis deskriptif menggunakan analisis tabulasi, dan analisis analisis strategi tiga tahap pengambilan keputusan menggunakan matriks IFE dan EFE, matriks SWOT dan matriks QSPM. Hasil penelitian menunjukkan bahwa terdapat 19 faktor penyebab rendahnya penyerapan anggaran belanja sampai akhir triwulan III, dan terdapat 10 rancangan kebijakan sebagai strategi maksimalisasi penyerapan anggaran belanja di Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari.

PENGARUH PENDAPATAN RUMAH TANGGA TERHADAP KONSUMSI DAGING (SAPI, BABI DAN AYAM ) DI DESA SEA I KECAMATAN PINELENG

ZOOTEC ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 10
Author(s):  
Richie A.F. Osak ◽  
V V.J Panelewen ◽  
J. Pandey ◽  
I. D.R Lumenta
Keyword(s):  
Household Income ◽  
Household Head ◽  
Secondary Data ◽  
Meat Consumption ◽  
Research Problem ◽  
Chicken Meat ◽  
Primary Data ◽  
Survey Method ◽  
The Difference ◽  
The Village

ABSTRACT THE EFFECT OF HOUSEHOLD INCOME ON MEAT CONSUMPTION (BEEF, PORK AND CHIKEN) AT THE VILLAGE OF SEA I, PINELENG DISTRICT.This study aims to determine the magnitude of meat consumption (beef, porl and chiken) of household based on income levels in the Village of Sea I, Pineleng district and to determine the effect of household income on meat consumption (beef, porl and chiken) in the Village of Sea I, Pineleng district. Formulation of research problem is how much they purchased meat (beef, porl and chiken) consumption household in the Village of Sea I, Pineleng district. This study was conducted in the Village of Sea I, Pineleng district. Study was conducted using a survey method, and data were obtained through primary data and secondary data. Determination of the location (rural sample) in the study was conducted by purposive sampling method. Number of samples used in this study were 30 people. Data of this study were analyzed by descriptive and mathematical analysis methods. Income indicated the amount of income earned in a month household, whether they were from the household head or sourced from other household members who work and earn income. From the money earned, the highest number of respondents had incomes between 1.000.000 to 3.000.000/month with the percentage of 70 %, while the number of respondents with the smallest income was less than 1.000.000/month with the percentage of 16.67 %. The difference of income held by the respondents in the Village of Sea I, would have an impact on the amount of meat purchases each month. This was in accordance with the opinion Sukirno (2002) stating that most of the disposable income is used to buy food and clothing. Most of the meat consumed by people in the Village of Sea I was pork and chicken meat compared to beef, it was because the price of beef was relatively expensive compared to the price of pork and chicken meat. Based on research results, pork was the most meat consumed by family respondents about 21 families with the percentage of 70 % of respondents, followed by chicken meat about 18 families with the percentage of 60 % of respondents, and beef by 8 families with the percentage of 26 respondents, 67 % of domestic poultry and meat about 6 families with the percentage of 20 % of respondents. Based on the results of research, it can be concluded that household income significantly affect the consumption of meat in the Village of Sea I, Pineleng district and the average consumption of meat in the Village of Sea I, Pineleng district was about 8,9  kg/capita/year, below the national target of 10,3  kg/capita/year.   Key Words : Household income, meat consumption, Sea I Village.

La experiencia del prácticum en educación infantil. Una narración en primera persona

2019 ◽  
pp. 60-76
Author(s):  
Victor Amar
Keyword(s):  
Early Childhood ◽  
Teacher Training ◽  
Early Childhood Education ◽  
Professional Growth ◽  
Childhood Education ◽  
The Third ◽  
Formative Experience ◽  
Narrative Methodology ◽  
Very High

The chances of success of the internship in early childhood education, which takes place in the third degree, are very high. However, there may be circumstances that may befall the teacher-training student, which in a way turn the formative experience into a pretext for personal and professional growth. In order to know and understand its practice, we use narrative methodology. It is the most suitable way we have found to share his voice, giving him epistemological authority and being a pretext to improve from his experience. Her words lead us to understand that she wants to be a teacher, and that she learns in any situation, even though her tutor is in a context and with a very particular reality. The conclusion is in continuous construction as the student has learned, disapproved and reappeared with the practice; from being a student of practice to becoming one in practice.

Effect of the Stages of Floral Development and Postharvest Temperatures to Flowering of Eremurus in Israel

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 536d-536
Author(s):  
Rina Kamenetsky
Keyword(s):  
Morphological Analysis ◽  
Developmental Disorder ◽  
Floral Development ◽  
The Third ◽  
Initial Stage ◽  
Floral Differentiation ◽  
Soil Temperatures ◽  
Very High ◽  
Development Application ◽  
Flowering Process

The influence of postharvest temperature on the flowering response of Eremurus was studied. The plants were harvested at four different stages of development and were separated into three groups. The first group was immediately exposed to 2 °C, the second group to 20 °C followed by 2 °C, and the third group to 20 °C followed by 32 °C and, subsequently, 2 °C. Scanning electron microscopy (SEM) was used for concurrent morphological analysis of floral development. Application of 2 °C to the plants in the initial stage of floral development caused plant destruction and death, while the same treatment applied at the stage of full differentiation promoted normal flowering. Temperatures of 20 °C and, especially, 32 °C, significantly improved flowering of the plants harvested in the early stages of florogenesis, whereas the same treatment applied to the plants harvested at the end of flower differentiation did not affect the flowering process. A developmental disorder, which we term “Interrupted Floral Development” (IFD), was observed only in the plants harvested when the racemes were fully differentiated. This was probably caused by the very high air and soil temperatures that prevail in Israel during the summer. The extent of floral differentiation has a determinant role in subsequent scape elongation and flowering.

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