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All Journal Transformasi Jurnal Mahasiswa Entrepreneur
Putri, Septi Aulia
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences

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ANALISA FAKTOR YANG MEMPENGARUHI KEPUASAN KERJA PEGAWAI NON ASN DINAS KOPERASI, PERINDUSTRIAN DAN PERDAGANGAN KABUPATEN SITUBONDO DENGAN EFEKTIVITAS KERJA SEBAGAI MEDIASI VARIABEL Putri, Septi Aulia; Fandiyanto, Randika; Tulhusnah, Lusiana
Jurnal Mahasiswa Entrepreneurship (JME) Vol 3 No 12 (2024): DESEMBER 2024
Publisher : Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/jme.v3i12.5339

Abstract

The aim of this research is to determine the analysis of factors that influence job satisfaction of non-ASN employees of the Cooperatives, Industry and Trade Service of Situbondo Regency with work effectiveness as a mediating variable. Using the Partial Least Square (PLS) Structural Equation Model. The results of the direct influence hypothesis test using the Smart PLS 3.0 application, show that Career Development has a significant positive effect on Work Effectiveness, Work Performance has a significant positive effect on Work Effectiveness, Employee Performance has a significant positive effect on Work Effectiveness, Career Development has a positive but not significant effect on Job Satisfaction, Work Performance has a significant positive effect on Job Satisfaction, Employee Performance has a positive but not significant effect on Job Satisfaction, Work Effectiveness has a significant positive effect on Job Satisfaction, Career Development on Job Satisfaction through Work Effectiveness has a positive but not significant effect, Work Performance on Job Satisfaction through Work Effectiveness has a significant positive effect, Employee Performance on Job Satisfaction through Work Effectiveness has a significant positive effect.
KLASIFIKASI INTENSITAS HUJAN DI SAMARINDA MENGGUNAKAN LOGIKA FUZZY MAMDANI Putri, Septi Aulia; Asmita, Rizka; Nggotu, Antonieta Aryuka Paskalia; Hutapea, Vedra Dian Sierrafina; Septiarini, Anindita; Wati, Masna
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.422

Abstract

This study aims to classify rainfall intensity in the Samarinda area into three categories: light rain, moderate rain, and heavy rain based on three meteorological variables: temperature (in °C), air pressure (in hPa), and rainfall (in mm) to provide a more adaptive and accurate classification of rainfall intensity based on local weather conditions in Samarinda, which is prone to disasters due to high rainfall intensity. The data used in this study was obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) Samarinda for the period of October to December 2024. This study implements the Mamdani Fuzzy Logic method, which consists of the stages of fuzzification, rule base application, inference, and defuzzification. Fuzzy logic was chosen due to its ability to handle data that is ambiguous and uncertain, which is common in weather phenomena. Testing results on 50 random weather condition data samples indicate that the developed Mamdani fuzzy model achieved an accuracy of 100% on the test data, demonstrating consistency between the resulting rainfall intensity classification and actual data. Based on these findings, this model can be utilized as a support tool for decision-making, both by individuals and local government agencies, in efforts to monitor and mitigate extreme weather conditions in Samarinda, East Kalimantan.Keywords : Fuzzy Logic, Mamdani Method, Rainfall Intensity, Classification
KLASIFIKASI INTENSITAS HUJAN DI SAMARINDA MENGGUNAKAN LOGIKA FUZZY MAMDANI Putri, Septi Aulia; Asmita, Rizka; Nggotu, Antonieta Aryuka Paskalia; Hutapea, Vedra Dian Sierrafina; Septiarini, Anindita; Wati, Masna
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.422

Abstract

This study aims to classify rainfall intensity in the Samarinda area into three categories: light rain, moderate rain, and heavy rain based on three meteorological variables: temperature (in °C), air pressure (in hPa), and rainfall (in mm) to provide a more adaptive and accurate classification of rainfall intensity based on local weather conditions in Samarinda, which is prone to disasters due to high rainfall intensity. The data used in this study was obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) Samarinda for the period of October to December 2024. This study implements the Mamdani Fuzzy Logic method, which consists of the stages of fuzzification, rule base application, inference, and defuzzification. Fuzzy logic was chosen due to its ability to handle data that is ambiguous and uncertain, which is common in weather phenomena. Testing results on 50 random weather condition data samples indicate that the developed Mamdani fuzzy model achieved an accuracy of 100% on the test data, demonstrating consistency between the resulting rainfall intensity classification and actual data. Based on these findings, this model can be utilized as a support tool for decision-making, both by individuals and local government agencies, in efforts to monitor and mitigate extreme weather conditions in Samarinda, East Kalimantan.Keywords : Fuzzy Logic, Mamdani Method, Rainfall Intensity, Classification
Co-Authors Anindita Septiarini, Anindita Asmita, Rizka Fandiyanto, Randika Hutapea, Vedra Dian Sierrafina Lusiana Tulhusnah Nggotu, Antonieta Aryuka Paskalia Wati, Masna