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MODEL PENINGKATAN KOMITMEN ORGANISASI BERBASIS PADA KNOWLEDGE SHARING, LEADERSHIP DAN KOMPENSASI Natoil Natoil; Yovita Mumpuni Hartarini; Warsilan Warsilan
JURNAL CAPITAL : Kebijakan Ekonomi, Manajemen dan Akuntansi Vol 5 No 1 (2023): July 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33747/capital.v5i1.167

Abstract

This study aims to examine the effect of knowledge sharing, leadership and compensation and their impact on organizational commitment. The problem in this research is how to increase organizational commitment in the Karangjati Business Development Cooperative. In this study, the population used was all cooperative employees, totaling 34 people. Regression analysis was run using Statistical Package Social Science (SPSS) software, which was used to analyze the data. The results of the analysis showed that knowledge sharing, leadership and compensation had a significant effect on organizational commitment. These empirical findings indicate that knowledge sharing on employee organizational commitment shows a t-count value of 4,239, leadership shows a t-count value of 3,418 and compensation shows a t-count value of 4,966 which has a significant effect on organizational commitment.
Character Education TPACK Skills to Emergency Remote Learning During The Covid-19 Pandemic Widyaningrum, Agnes; Yovita Mumpuni Hartarini
Jurnal Penelitian dan Pengembangan Pendidikan Vol. 8 No. 1 (2024): April
Publisher : LPPM Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jppp.v8i1.62642

Abstract

The transition of education to an online environment due to the COVID-19 pandemic presents new challenges for teachers and students. On the other hand, there is only a little research on developing PCK related to character education. Pedagogical Content Knowledge (TPACK) technology solves today's online learning problems. This research aims to analyze Character Education TPACK skills for emergency distance learning during the COVID-19 pandemic. This research is a mixed methods research with a quantitative approach and is supported qualitatively. The population and sample are 200 teachers. The data collection method uses a questionnaire. The research instrument was a questionnaire consisting of 33 statements and 5 open questions, which were distributed. Data were examined numerically and subjectively using component analysis and teacher explanatory descriptions. Data analysis techniques use quantitative statistics. The research results show that the mastery of TPACK Character Education in online classes uses different learning media and instructional platforms. This research implies that in the future, teachers can increase the use of teaching materials, media, methods and learning models for appropriate subjects and follow TPACK integrated with character education to create an active, fun and meaningful learning atmosphere.
Analysis of factors That Influence Buying Decisions in The Covid-19 Pandemi Era Sarbullah Sarbullah; Yovita Mumpuni Hartarini; Tri Cahyadi
J-CEKI : Jurnal Cendekia Ilmiah Vol. 2 No. 1: Desember 2022
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v2i1.1195

Abstract

This study aims to determine Analysis of Factors That Influence Buying Decisions in The Covid-19 Pandemi Era (Case Study in Bear Brand Drinking Milk Beverage Products). This type of research was s quantitative correlation with a cross-sectional approach. Data collection techniques using questionnaires. The analysis technique used was multiple regression analysis. The independent variables were product quality, price, promotion, and testimonials and the dependent variable was buying decisions. Methods of data analysis using multiple linear regression with the SPSS 25.0 program. Based on the data analysis shows that: (1) It was found that the Product Quality variable (X1) in buying decisions (Y). It was known that the Sig value for the effect (X1) on (Y) was 0.211 > 0.05 and the tcount value was 1.262 < t table 2.000, so it can be concluded that H1 was rejected which means there was no effect (X1) on (Y). (2) Price (X2) on buying decisions (Y) It was known that the Sig value for the effect (X2) on (Y) was 0.913 > 0.05 and the tcount is-0.110 < t table 2.000, so it can be concluded that H1 was rejected which means there was no effect (X2) against (Y). (3) It was known that the Sig value for the effect (X3) on (Y) was 0.043 <0.05 and the tcount was 2.061 > t table 2.000, so it can be concluded that H1 was accepted which means there was an effect (X3) on (Y). (4) It was known that the Sig value for the effect (X4) on (Y) was 0.478 > 0.05 and the tcount was 0.714 < t table 2.000, so it can be concluded that H1 was rejected which means there was no effect (X4) on (Y). Product quality was needed to increase consumer attractiveness. The importance of optimizing affordable prices to be able to compete in the trade market. Attractive promotions can lure customers to always use the same product. Testimonials in an interesting manner by conveying relevant.
EFEKTIVITAS APLIKASI TUMBASIN.ID PADA MASA PANDEMI COVID-19 DI KOTA SEMARANG Zumrotun Nafiah; Yovita Mumpuni Hartarini
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 2 No. 1: Desember 2022
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v2i1.878

Abstract

Tujuan penelitian adalah menghasilkan faktor-faktor atau variabel-variabel yang mempengaruhi efektivitas aplikasi tumbasin.id pada masa pandemi covid-19 di Kota Semarang. Jenis penelitian ini adalah deskriptif kuantitatif. Desain penelitian cross sectional. Tempat penelitian di Kota Semarang. Waktu penelitian pada bulan Januari-Desember 2022. Populasi dan sampel penelitian ini adalah seluruh pengguna aplikasi tumbasin.id di Kota Semarang pada tahun 2020 sampai dengan 2022 sebanyak 644 orang. Teknik pengambilan sampel menggunakan total sampling. Sumber data primer yaitu kuesioner. Sumber data sekunder yaitu data aplikasi tumbasin.id. Instrumen penelitian menggunakan kuesioner dalam bentuk Google Form. Metode pengumpulan data kuesioner dengan menggunakan aplikasi kuesioner google form. Pengumpulan data sekunder dengan menggunakan dokumentasi. Analisis data menggunakan Net Promoter Score (NPS). Hasil penelitian faktor-faktor yang mempengaruhi efektivitas aplikasi tumbasin.id pada masa pandemi covid-19 di Kota Semarang yaitu kepuasan pelanggan dan rekomendasi pelanggan dengan hasil NPS skor kepuasan pelanggan tahun 2020 sebesar 11,65%, tahun 2021 sebesar 10,25%, tahun 2022 sebesar 12,58% dengan total NPS skor kepuasan pelanggan selama tahun 2020-2022 sebesar 34,47%. NPS skor rekomendasi pelanggan tahun 2020 sebesar 12,42%, tahun 2021 sebesar 12,11%, tahun 2022 sebesar 13,51% dengan total NPS skor rekomendasi pelanggan selama tahun 2020-2022 sebesar 38,04%.
EFEKTIVITAS INDIVIDU, KELOMPOK, DAN ORGANISASI TERHADAP PENANGANAN KREDIT MACET PADA MASA PANDEMI COVID-19: (STUDI PADA BPR ARTO MORO SEMARANG) Fandil Fandil; Zumrotun Nafiah; Yovita Mumpuni Hartarini
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 2 No. 1: Desember 2022
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v2i1.879

Abstract

Tujuan penelitian adalah untuk menganalisis efektivitas individu, kelompok, dan organisasi terhadap penanganan kredit macet di masa pandemi covid-19. Jenis penelitian ini adalah deskriptif kuantitatif. Desain penelitian cross sectional. Tempat penelitian di BPR Arto Moro Semarang. Waktu penelitian pada bulan Januari-Desember 2022. Populasi penelitian ini adalah seluruh nasabah kredit BPR Arto Moro Semarang tahun 2020-2021 sebanyak 915 orang. Sampel penelitian ini sebanyak 915 orang. Teknik pengambilan sampel menggunakan accidental sampling. Sumber data primer yaitu Data Potensi Debitur Terdampak Virus Corona Pada Sektor Perbankan BPR Arto Moro Semarang. Sumber data sekunder yaitu data nasabah kredit BPR Arto Moro Semarang. Metode pengumpulan data primer dan sekunder menggunakan. Metode analisis data menggunakan analisis distribusi frekuensi. Hasil penelitian menunjukkan bahwa efektivitas penanganan penagihan kredit macet secara individu oleh sales (AO) dengan hasil efektif dibandingkan penanganan penagihan kredit macet secara Kelompok Dept Kolektor (Collective) dan BPR/Recovery Aset dengan hasil tidak efektif.