Pembangunan dan Penilaian Model Hasrat Mengguna Aplikasi Mudah Alih Penasihatan Penyakit Tanaman Lada Hitam

Shafinah Kamarudin, Ribka Alan, Noraidah Sahari, Amelia Natasya Abdul Wahab, Riza Sulaiman

Abstract


ABSTRAK

Kajian hasrat mengguna aplikasi mudah alih dalam domain pertanian masih kurang diterokai. Penggunaan m-Pertanian seperti aplikasi memberi faedah apabila menerima dan mengguna aplikasi tersebut. Tujuan kajian ini adalah untuk membangun sebuah model Tingkah laku hasrat mengguna (HM) aplikasi mudah alih penasihatan penyakit untuk tanaman lada hitam (m-Naslada), mengesah model HM serta membangun prototaip m-Naslada berdasarkan beberapa faktor daripada model HM. Model kajian dibangun berteraskan Model Penerimaan Teknologi. Faktor yang dipertimbangkan pada model kajian adalah Mobiliti, Kesederhanaan, Norma Subjektif, Keserasian, Inovasi Kendiri, Efikasi Kendiri, Kualiti Maklumat, Interaktif, Persepsi Kebergunaan, Persepsi Mudah Guna dan Tingkah Laku Hasrat Mengguna. Kaedah kuantitatif dengan instrumen soal selidik baharu diguna bagi mengesah model kajian. Tinjauan sebenar dilaksana dengan mentadbir instrumen kepada 200 orang pekebun kecil lada hitam di Sarawak. Data diperoleh dianalisis mengguna pendekatan Pemodelan Persamaan Berstruktur melalui kaedah Kuasa Dua Terkecil Separa (KDTS), ujian analisis kuasa statistik post hoc dan ujian Kebagusuaian Global (KBG). Hasil kajian mendapati faktor Mobiliti, Kesederhanaan, Norma Subjektif, Keserasian, Inovasi Kendiri, Efikasi Kendiri, Persepsi Kebergunaan, Persepsi Mudah Guna mempengaruhi Tingkah Laku Hasrat Mengguna. Berdasarkan ujian analisis kuasa statistik post hoc, pelaksanaan kajian ini didapati memberi impak sebenar kepada populasi pekebun kecil lada hitam. Hasil analisis ujian KBG mendapati model HM boleh dipakai dalam kajian ini. Secara keseluruhan, model dan instrumen kajian boleh menjadi indikator bagi mengukur hasrat mengguna sesebuah aplikasi mudah alih untuk domain pertanian.

Kata kunci: Aplikasi mudah alih; hasrat mengguna; Model Penerimaan Teknologi; pertanian

ABSTRACT

Studies of intention to use mobile applications in the agricultural domain remain untapped. The use of m-Agriculture such as mobile application would provide benefits to farmers upon them accepting and using the application. Therefore, this study aims at developed a model of intention to use disease advisory mobile application for black pepper crops (m-Naslada), validated the model of intention to use as well as developed m-Naslada prototype based on several factors from model of intention to use. Factors considered in the research model were Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Quality of Information, Interactive, Perceived Usefulness, Perceived Ease of Use and BI. A real survey was conducted by administering the instrument to 200 black pepper farmers in Sarawak. The data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach, post hoc statistical power analysis test and Global Goodness-fitness model (GoF) test. Results found that factors of Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Perceived Usefulness and Perceived Ease of Use influence Behavioral Intention. Based on post hoc statistical power analysis, this study delivered a real impact on the population of black pepper farmers. The results obtained from GoF test found that the model of intention to use can be used in this study. Overall, the model and instrument can be an indicator to measure BI on mobile applications for agricultural domain.

Keywords: Agriculture; intention to use; mobile application; Technology Acceptance Model

 


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