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METODE PENELUSURAN BANJIR PADA SUNGAI DENGKENG DENGAN METODE GABUNGANO'DONNELDAN MUSKINGUM-CUNGE DAN METODE MUSKINGUM EXTENDED Naulita, Maria Anisa; Sobriyah, Sobriyah; Qomariyah, Siti
Matriks Teknik Sipil Vol 3, No 1 (2015): Maret 2015
Publisher : Program Studi Teknik Sipil FT UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.166 KB) | DOI: 10.20961/mateksi.v3i1.37323

Abstract

Model penelusuranbanjirdimaksudkanuntukmengetahuihidrografaliran di suatulokasisungai.Data yang dibutuhkanpadapenelusuranbanjirmetode Muskingum adalahhidrografaliran di huludanhilir.Data tersebutdigunakanuntukmengestimasi parameter penelusuran.Permasalahan yang munculadalahketidaktersediaan data hidrografterukur di huludanhilir, sertametodeinitidakmemperhitungkanadanyaaliran lateral. Model penelusuranbanjir yang memperhitungkanadanyaaliran lateral adalah model penelusuranbanjirdenganmenggunakanMetodeGabunganO'Donneldan Muskingum-Cungedan Muskingum Extended. Penelitianinibertujuanuntukmengetahuikesesuaianantarahidrografaliranhasilsimulasidenganpengamatanmenggunakankeduametodetersebut.Penelitianinimerupakanpenelitian deskriptif kuantitatif. Analisis dilakukan dengan Metode Gabungan O'Donnel dan Muskingum-Cunge dan Muskingum Extended. Higrograf aliran di hulu diestimasikan dengan cara HSS Gama I. Lokasi penelitian ini adalah pada Daerah Aliran Sungai Dengkeng di Kabupaten Klaten, Provinsi Jawa Tengah. Data yang digunakan dalam analisis diperoleh dari Balai Besar Wilayah Sungai Surakarta, Dinas Pengelolaan Sumber Daya Air (PSDA) dan Perum JasaTirta 1 Surakarta.Hasilkesesuaian model penelusuran banjir Metode Gabungan O'Donnel dan Muskingum-Cunge dengan data hasil pengamatan pada tanggal 1 Mei 2011 adalah =27,79%; =59,20% dan =22,22% sedangkanpada 20 Desember 2011 sebesar =2,82%; =69,58%; =25%. Hasil kesesuaian model penelusuran banjir dengan metode Muskingum Extendedpada tanggal 1 Mei 2011 adalahsebesar =20,86%; =15,71%; dan =62,5% sedangkanpada 20 Desember 2011 sebesar =4,49%; =67,52%; dan = 11,11%. Berdasarkan data yang ada, kedua metode tidak disarankan untuk diterapkan pada DAS Dengkeng karena hidrograf hasil simulasi dengan kedua metode tersebut memiliki perbedaan karakteristik yang sangat signifikan dengan hidrograf terukur hasil pengamatan.
Dynamics of Live-Stream Commerce: Unveiling External and Internal Factors in Impulse Buying Decisions in Live Shopping Mahendra, Ronny Albar; Yusha, Yudhistira Bawa; Naulita, Maria Anisa; Simanjuntak, Evi Rinawati
Eduvest - Journal of Universal Studies Vol. 4 No. 11 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i11.49976

Abstract

The development of internet technology has encouraged innovation in digital commerce, especially e-commerce. One of the rapidly growing trends is live shopping, which combines social media interactivity with a real-time shopping experience. This study aims to explore the influence of internal and external factors on impulse purchase decisions in the context of live shopping. Using a quantitative approach and modeling of structural equations (Partial Least Squares-Structural Equation Modeling/PLS-SEM - Smart PLS 4.0.), data was collected from 300 respondents in Indonesia through an online survey. The results showed that external factors, such as streamer attractiveness, content quality, and perceived interactivity, significantly increased perceived enjoyment. However, perceived enjoyment has not been proven to significantly encourage impulse purchasing decisions. Conversely, internal factors, such as hedonistic motivation, viewing frequency, and impulse buying tendencies, have been shown to have a strong influence on impulse purchases during live shopping sessions. The study concluded that while external factors can create a pleasurable experience, they do not directly trigger impulsive buying behavior in the absence of internal impulses. These findings provide new insights for marketers to design effective strategies that focus more on the psychological aspects of consumers, such as hedonistic motivation and increased frequency of interactions, to encourage engagement and impulse purchases in live shopping platforms