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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Research in Business, Economics, and Education STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE
Sosrowidigdo, Suryanto
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Computer Science & IT Economics, Econometrics & Finance Health Professions Public Health

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THE INFLUENCE OF TRANSFORMATIONAL LEADERSHIP AND HUMAN CAPITAL LEADERSHIP ON EMPLOYEE PERFORMANCE Sosrowidigdo, Suryanto
Journal of Research in Business, Economics, and Education Vol 2 No 1 (2020): February Edition
Publisher : STIE Kusuma Negara

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Abstract

The purpose of this study was to determine and analyze the Transformational Leadership Style and Human Capital both partially and simultaneously the Employee Performance. This research was conducted at PT Trust Anugerah Persada with 55 employees as sample and the collected data is processed by multiple regression with SPSS version 23. This Research results showed that transformational leadership, positive and significant impact on Employee Performance, Human Capital positive and significant impact on Employee Performance, Transformational Leadership and Human Capital simultaneously positive and significant impact on Employee Performance.             
PENGARUH PERSONAL SELLING TERHADAP KEPUTUSAN PEMBELIAN JASA ASURANSI PADA PT ASURANSI JIWASRAYA (PERSERO) CABANG JAKARTA SELATAN Sosrowidigdo, Suryanto; Al Rasyid, Harun
Aksara Public Vol 4 No 2 (2020): Mei (2020)
Publisher : EDUTECH CONSULTANT

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Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh kegiatan personal selling yang dilakukan PT Asuransi Jiwasraya (Persero) terhadap keputusan pembelian bagi nasabah yang ingin menggunakan jasa asuransi-nya. Kegiatan personal selling merupakan tuntutan yang harus dicapai oleh lembaga keuangan dalam mengembangkan usahanya karena ini berhubungan langsung dengan keputusan pembelian bagi calon nasabah yang ingin menggunakan salah satu dari produk yang ada di perusahaan tersebut. Penelitian ini merupakan penelitian kuantitatif. Metode penelitian ini berupa metode wawancara, metode observasi, metode dokumentasi, dan metode kuesioner. Populasi dalam penelitian ini adalah nasabah dari PT Asuransi Jiwasraya (Persero). Penentuan sampel dengan metode sampling jenuh. Berdasarkan metode tersebut, diperoleh 44 sampel responden. Uji validitas yang digunakan adalah korelasi pearson dimana Rhitung > Rtabel yang menunjukan data tersebut valid. Uji reliabilitas menggunakan Alpha Cronbach dengan hasil uji sebesar 0,741 > 0,600 yang menyatakan data tersebut reliabel. Pada uji korelasi didapati nilai korelasi sebesar 0,828 yang menyatakan tingkat hubungan sangat kuat. Hasil penelitian menunjukkan adanya pengaruh secara signifikan dalam persamaan regresi Y = -28,581 + 1,987X. Hasil signifikan tersebut ditunjukkan dalam perbandingan thitung > ttabel yaitu 9,581 > 2,109. Maka H0 ditolak dan H1 diterima.
Business Development Management Model at Samo-Samo Recycling House Based on SWOT Analysis Rusdiansyah, Rusdiansyah; Al Rasyid, Harun; Sosrowidigdo, Suryanto
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10595

Abstract

This study aims to determine the internal and external conditions faced by the Samo Samo Recycle House, as a basis for determining the appropriate alternative strategies for recycling waste business. Strategy formulation is carried out after the identification and determination of internal and external strategic factors. Internal strategic factors are then included in the IFAS (Internal Factors Analysis Summary) matrix, while external strategic factors are included in the EFAS (External Factors Analysis Summary) matrix, and the combination of the two matrices produces a Cartesisus Diagram to determine which company is in the diagram position. From the results of the calculation above, it is known that the coordinate point is located at (y = -0,12; x = 0,39). The coordinate results are presented in the SWOT matrix diagram. After knowing the meeting point of the diagonals (X), the position of the business unit is known in Quadrant II. This position shows the Samo Samo Recycling House, then in business strategies, including: Creating new designs to attract prospective buyers, Strengthening the competitiveness of commodities through improving the quality of results and business efficiency. Quality and creative human resource development
Implementation of address recording management using the K-Means clustering classification algorithm in Kebayoran District, DKI Jakarta Rusdiansyah, Rusdiansyah; Rasyid, Harun Al; Sosrowidigdo, Suryanto
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 2 (2021): Article Research Volume 5 Number 2, April 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i2.10855

Abstract

The area is the center of problems in the administrative record management of Kebayoran District, because of its dense condition and it is difficult to determine land measurements due to the density of residential areas. The problem in Indonesia to this day is that the administrative boundaries of the kelurahan already exist, but the administrative boundaries for the Rukun Warga / Rukun Tetangga (RW / RT) do not yet exist. The local government of DKI already has a large scale map (1: 1,000) to map RW administrative boundaries. Large-scale mapping (Batas RW) is useful for accurate information on incidence of dengue fever or other diseases, thereby eliminating information bias due to the use of village boundary maps. Another benefit is the accuracy of address management for customers, for example PDAM customers, to facilitate verification of customer data with large-scale maps, especially those that only include RT / RW addresses, without mentioning street names and household numbers. The method used is data mining K-Means Clustering. By using this method, the data that has been obtained can be grouped into several clusters, where the application of the KMeans Clustering process uses Excel calculations. The processed data is divided into 3 clusters, namely: high cluster (C1), medium cluster (C2) and low cluster (C3). The iteration process of this research occurs 2 times so that an assessment is obtained in classifying the household / neighborhood unit based on the Kelurahan. The results obtained are that there is 1 neighborhood unit with the highest cluster (C1), there are 4 neighborhood units with 4 medium clusters (C2), and 5 neighborhood units with the lowest cluster (C3). This data can be input to the sub-district to disseminate information about dengue fever, health education, and for the accuracy of PDAM customer address management and others.
Co-Authors Harun Al Rasyid Laksono Trisnantoro Rusdiansyah Rusdiansyah