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ANALISIS PENGARUH BAURAN PEMASARAN (7P) TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN PADA PRODUK KULINER WONTONOMA DI KOTA MALANG, JAWA TIMUR HARYANTO, HELMI NAUFAL AHMAD; YUSWITA, EFFY; PRASETYANINGRUM, DIAN ISLAMI; RAHMAN, MOH. SHADIQUR
CENDEKIA: Jurnal Ilmu Pengetahuan Vol. 4 No. 4 (2024)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/cendekia.v4i4.3340

Abstract

This study was carried out to analyze how the application of the 7P marketing mix (product, price, place, promotion, people, process, and physical evidence) affects the purchase decision from consumers on Wontonoma culinary products in Malang, East Java. This research was carried out by purposive sampling, online surveys, and using the Likert scale to assess the marketing mix towards purchase decisions, to achieve the research objectives. Data analysis using SEM-PLS, with the Warp-PLS 7.0 application. The objectives of this study are to 1) Analyze the application of the 7P marketing mix (Product, Price, Place, Promotion, People, Process, and Physical Evidence) applied to Wontonoma culinary products in Malang City, East Java. 2) Analyze consumer perception of the 7P marketing mix. 3) Analyze the influence of the 7P marketing mix on the purchase decision of Wontonoma culinary products in Malang City, East Java. From the results of this study, it is known that Wontonoma has implemented a 7P marketing mix. Significant variables for the purchase decision of Wontonoma culinary products are product, promotion, and people. The variables that are not significant to the decision to purchase Wontonoma culinary products are price, place, process, and physical evidence. It is recommended for Wontonoma to maintain significant marketing mix variables, and correct insignificant marketing mix variables. ABSTRAKPenelitian ini dilaksanakan untuk menganalisis bagaimana penerapan bauran pemasaran 7P (product, price, place, promotion, people, process, and physical evidence) yang mempengaruhi keputusan pembelian dari konsumen terhadap produk kuliner Wontonoma di Malang, Jawa Timur. Penelitian ini dilaksanakan dengan purposive sampling, survei online, dan menggunakan skala Likert untuk menilai bauran pemasaran terhadap keputusan pembelian, untuk mencapai tujuan penelitian. Analisis data dengan menggunakan SEM-PLS, dengan aplikasi Warp-PLS 7.0. Tujuan dari penelitian ini adalah untuk 1) Menganalisis penerapan bauran pemasaran 7P (Product, Price, Place, Promotion, People, Process, dan Physical Evidence) yang diterapkan pada produk kuliner Wontonoma di Kota Malang, Jawa Timur. 2) Menganalisis persepsi konsumen terhadap bauran pemasaran 7P. 3) Menganalisis pengaruh bauran pemasaran 7P terhadap keputusan pembelian produk kuliner Wontonoma di Kota Malang, Jawa Timur. Dari hasil penelitian ini, diketahui bahwa Wontonoma telah melaksanakan bauran pemasaran 7P. Variabel yang signifikan terhadap keputusan pembelian produk kuliner Wontonoma adalah product, promotion, dan people. Variabel yang tidak signifikan terhadap keputusan pembelian produk kuliner Wontonoma adalah price, place, process, dan physical evidence. Disarankan bagi Wontonoma untuk mempertahankan variabel bauran pemasaran yang signifikan, dan memperbaiki variabel bauran pemasaran yang tidak signifikan.
Does Farmer Group Participation Affect Agricultural Insurance Adoption? Evidence from Indonesian Rice Farmers Hartono, Rachman; Retnoningsih, Dwi; Rahman, Moh. Shadiqur; Wijayanto, Hari Wahyu
Jurnal Pembangunan dan Alam Lestari Vol. 14 No. 2 (2023): Jurnal Pembangunan dan Alam Lestari
Publisher : Postgraduate School of Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jpal.2023.014.02.06

Abstract

Although agricultural insurance plays a vital role in minimizing the potential risk of yield loss, the adoption rate among farmers in Indonesia remains low. Using cross-sectional data from the Indonesian rice farmers’ survey, this study investigates how participation in a farmer group affects the decision to adopt agricultural insurance. A recursive bivariate probit model was employed to estimate the participation’s effects on agricultural insurance adoption. The finding indicates that farmer group participation positively and significantly affects the adoption. Regarding the control variables, farmers’ experience and education drive the adoption. In contrast, age shows a negative correlation. Meanwhile, the determinants of farmer group participation are gender, access to credit, and social activity involvement. Likewise, age also negatively and significantly affects the probability of farmer group participation. These findings highlight the essential role of farmer group participation in agricultural insurance adoption. Therefore, we suggest promoting membership sign-ups among smallholder farmers Keywords: agriculture insurance, farmers group, recursive bivariate probit model, rice farmers
Price Volatility of Horticulture Commodity During the Pandemic in East Java, Indonesia Hartono, Rachman; Rahman, Moh. Shadiqur; Retnoningsih, Dwi; Shaleh, Mohammad Ilyas
HABITAT Vol. 34 No. 3 (2023): December
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2023.034.3.25

Abstract

In the past two years, market information and the distribution of agricultural products have been affected by the COVID-19 pandemic, which has limited the distribution of information and the movement of agricultural products. As a result, the COVID-19 pandemic can lead to non-competitive behavior among intermediary traders, especially those operating in concentrated markets. This research aims to analyze the price volatility of horticulture commodity during the pandemic in East Java, Indonesia. The research data was collected through the official website of the Information System for Availability and Price Development of Basic Necessities in East Java (SISKAPERBAPO). The method used to analyze the impact of COVID-19 on horticultural agricultural product prices is ARCH (Autoregressive Conditional Heteroscedastic) and GARCH (Generalized Autoregressive Conditional Heteroscedasticity). The volatility results show that the prices of chili and shallots often fluctuate with high and unpredictable variations. However, the fluctuations in the prices of these two commodities are not due to a lack of supply or high demand, but rather due to the characteristics of these commodities, which are perishable and highly dependent on the season of production. The lower the quality, the lower the price will be. The price of shallots is relatively stable compared to chili due to its longer shelf life and less depreciation. The constraint faced by farmers of these two commodities during harvest time is the lack of storage facilities to store their harvest, forcing them to sell all their produce to middlemen or traders, which is one of the causes of the fluctuation of commodity prices.
Are There Variations in Personality Traits Between Men and Women? The Evidence is from Indonesian Residents Riana, Fitria Dina; Toiba, Hery; Rahman, Moh. Shadiqur
HABITAT Vol. 35 No. 1 (2024): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2024.035.1.10

Abstract

Non-cognitive skills, such as personality traits, play a vital role in various facets of human life due to their association with individual decision-making. However, personality traits can vary significantly among individuals globally, particularly between males and females. Hence, the primary objective of this study is to analyze the disparities in personality traits between men and women and to investigate how non-cognitive skills influence well-being. The study utilizes nationally representative data from Indonesia, encompassing 17,560 men and 18,825 women. Employing distinct mean t-tests and linear regression estimations, we observe that men tend to exhibit higher levels of openness, conscientiousness, and agreeableness in their personalities compared to women. Conversely, women demonstrate a propensity for higher level of extraversion and neuroticism. Moreover, our analysis reveals that male well-being is positively correlated with extraversion, while female well-being is linked to openness and extraversion traits. These findings underscore the significance of considering personality attributes in crafting economic development policies. Presently, policymakers in emerging nations like Indonesia heavily prioritize cognitive skills such as technical training and technological innovation. This study suggests that incorporating residents' non-cognitive talents into policy-making could potentially lead to enhanced achievements and progress.
Analysis of Factors Affecting Rice Farmers' Intentions in the Use of Smart Farming Technology in Kanigoro Village, Pagelaran Sub-District, Malang Regency Aulia, Syifa; Riana, Fitria Dina; Hartono, Rachman; Nugroho, Tri Wahyu; Meitasari, Deny; Rahman, Moh. Shadiqur
HABITAT Vol. 36 No. 3 (2025): December
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2025.036.3.21

Abstract

The low adoption of smart farming technology among farmers, despite the availability of tools in Kanigoro Village, Pagelaran Subdistrict, is the main issue addressed in this study. Technologies such as the Smart Soil Sensor and Bird Control Sound System have not been optimally utilized, even though they can improve agricultural efficiency and productivity. This study aims to analyze the influence of attitude, subjective norm, and perceived behavioral control on farmers’ intention to adopt smart farming technology, using the Theory of Planned Behavior (TPB) framework. The research employed a quantitative approach involving 100 rice farmers, with data collected through structured questionnaires and direct interviews. Data were analyzed using Structural Equation Modeling - Partial Least Square (SEM-PLS) with the help of WarpPLS 7.0 software. The results show that all three independent variables-attitude, subjective norm, and perceived behavioral control-have a positive and significant effect on farmers’ intention. Among these, perceived behavioral control has the most dominant influence, followed by subjective norm and attitude. These findings suggest that beyond building positive attitudes, it is essential to strengthen social support and increase farmers' confidence in their ability and access to technology to enhance the adoption of smart farming practices.