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All Journal Jurnal Gaussian Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT)
Djafar, Muh. Kabil
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Other

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Penataan Desa Berbasis Teknologi Informasi Pada Desa Tanjung Tiram Kecamatan Moramo Utara Djafar, Muh. Kabil; Sani, Asrul; Somayasa, Wayan; Jufra, Jufra; Mukhtar, Norma; Budiman, Herdi
Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Vol 3, No 2 (2021)
Publisher : Vokasi Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.541 KB) | DOI: 10.33772/jpmit.v3i2.21318

Abstract

Pelaksanaan program kegiatan Pengabdian kepada Masyarakat Terintegrasi Kuliah Kerja Nyata– Tematik (KKN-Tematik) bertujuan untuk meningkatkan efisiensi pelayanan masyarakat, dengan memanfaatkan teknologi informasi dalam bentuk Sistem Informasi Desa bebasis web. Metode pelaksanaan kegiatan ini dengan caramemberikan pelatihan teknologi informasi secara formal dan nonformal kepada masyarakat dan perangkat desa. Hasil dari kegiatan PkM terintegrasi KKNTematik adalah mitra dalam hal ini Desa Tanjung Tiram memiliki Sistem Informasi Desa/Website. Pengelolaan Sistem Informasi Desa dilaksanakan oleh seorang perangkat desa, yang telah mendapat pelatihan teknologi informasi.
OPTIMASI PORTOFOLIO MEAN-VARIANCE DENGAN ANALISIS KLASTER FUZZY C-MEANS Gubu, La; Cahyono, Edi; Arman, Arman; Budiman, Herdi; Djafar, Muh. Kabil
Jurnal Gaussian Vol 12, No 4 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.4.593-604

Abstract

Many studies have been carried out to solve and develop the Markowitz portfolio model. This was done to correct existing models in response to the changes in financial market dynamics and the needs of capital market practitioners. In this study, we provide Mean-Variance (MV) portfolio selection via cluster analysis. Fuzzy C-Means clustering is used to separate stocks into different categories. As a comparison, stocks categories were also carried out using K-Mean clustering. Based on the Sharpe ratio, a stock from each cluster is chosen as a cluster representative. The stocks chosen for each cluster have the greatest Sharpe ratio. The MV portfolio model is used to determine the best portfolio. For the empirical analysis, we examined the fundamental data and the daily return data of stocks that were included in the LQ-45 index from August 2022 to January 2023. The fundamental data of stocks are used to form clusters and the daily return of stocks are used to construct the best portfolio. The results of this study reveal that, for all given risk aversion values, portfolio performance created by Fuzzy C-Means clustering outperformed portfolio performance produced by K-Means clustering.
Co-Authors Arman Arman Asrul Sani Budiman, Herdi Edi Cahyono Gubu, La Jufra, Jufra Mukhtar, Norma Wayan Somayasa