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SOSIALISASI ASURANSI KENDARAAN DAN KESELAMATAN BERLALU LINTAS DI JALAN RAYA BERSAMA PT JASA RAHARJA CABANG SUMBAWA Nuramaliyah, Nuramaliyah; Hasri, Diah Anggeraini; Mikhratunnisa, Mikhratunnisa; Safitri, Oryza; Hakim, Lukmanul; Akbar, Arya Zufikar; Hartini, Hartini
Abdi Panca Marga Vol 5 No 1 (2024): Jurnal Abdi Panca Marga Edisi Mei 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Panca Marga Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/abdipancamarga.v5i1.1903

Abstract

Pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan, wawasan, dan literasi keamanan berkendara di jalan bagi siswa-siswi SMA/SMK/MA dan sederajat. Metode yang digunakan mencakup sosialisasi, penyuluhan, ceramah, tanya jawab, kepada 100 peserta. Hasil kegiatan menunjukkan Kegiatan pengabdian Masyarakat yang dilakukan oleh Program Studi Aktuaria Fakultas Ekonomi dan Bisnis efektif meningkatkan pengetahuan peserta mengenai asuransi kendaraan dan keselamatan berkendara. Peserta yang awalnya belum memahami detail ketentuan Undang-Undang Nomor 33 dan 34 tahun 1964 tentang Dana Pertanggungan Wajib Kecelakaan Penumpang Umum tentang Lalu Lintas dan Angkutan Jalan sehingga diperlukan pemahaman yang lebih komprehensif terkait lalu lintas jalan raya untuk mengurangi angka kecelakaan lalu lintas. Pasca sosialisasi, insights para peserta semakin meningkat. Pemahaman dalam keamanan berkendara motor menjadi luas dan juga tentang asuransi yang diberikan oleh PT. Jasa Raharja
The Influence of Digital Marketing and Brand Awareness on MSME Product Sales in Sumbawa Regency Rhea Bornily Pragass; Diah Anggeraini Hasri
Edumaspul: Jurnal Pendidikan Vol 8 No 2 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the influence of Digital Marketing and Brand Awareness on the Sales of Micro, Small, and Medium Enterprises (MSMEs) products in Sumbawa Regency. Facing challenges of intense market competition and limited access, MSMEs require effective strategies to improve sales performance. This research employed a quantitative approach by distributing questionnaires to 100 MSME owners selected using the Slovin formula sampling technique. The collected data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with SmartPLS software. The analysis results indicate that the Digital Marketing (X1) and Brand Awareness (X2) variables simultaneously have a significant effect on the Sales (Y) variable, with an R-Square value of 0.718. Hypothesis testing proved that Digital Marketing (T-statistic 4.982) and Brand Awareness (T-statistic 5.733) each have a positive and significant influence on Sales. These findings confirm that implementing effective digital marketing strategies and building strong brand awareness are crucial factors for driving the sales growth of MSMEs in the local market.
BBRI STOCK PRICE FORECASTING USING THE HOLT-WINTERS DOUBLE EXPONENTIAL SMOOTHING METHOD Maulida, Nur Ayya; Hasri, Diah Anggeraini; Aprirachman, Rozzy; Purnama, Yuni
Prosiding Seminar Nasional dan Call Paper STIE Widya Wiwaha Vol 4 No 1 (2025): International Seminar Proceedings and Call for Paper STIE Widya Wiwaha
Publisher : Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32477/semnas.v4i1.1319

Abstract

The Holt-Winters Double Exponential Smoothing  method is a forecasting method that has two parameters, namely α and β. This method is used when the data shows a trend and seasonal pattern. This study applies this method to forecast BBRI's share price as part of a time series analysis. The dataset used is the adjusted close price  of BBRI shares. The results showed that the optimal forecasting model used α (alpha) of 0.4 and β (beta) of 0.1 with an estimated α smoothing parameter of 89.3348466 and β of -0.3743472. The model evaluation was assessed based on the measures of forecasting errors in the form of SMAPE and MAPE as the main error evaluation measurements and SSE, MSE, and RMSE as supporting error evaluation measurements.