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Analisis Keputusan Pembelian Produk di Vending Machine FMIPA UII Menggunakan Regresi Logistik Berbasis Machine Learning Muthia Rahmatun Nisa'; Ade Ahmad Faizal; Edy Widodo
MANABIS: Jurnal Manajemen dan Bisnis Vol. 5 No. 1 (2026): Maret 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/manabis.v5i1.6913

Abstract

This study examines factors influencing students’ purchasing decisions on vending machines using a statistical modeling approach. The increasing adoption of vending machines in university environments highlights the need to understand consumer decision-making within self-service systems. This research analyzes the effects of perceived ease of use and price perception on purchasing decisions for food and beverage products sold through vending machines at the Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia. Primary data were collected through an online questionnaire from 128 active students selected using purposive sampling. Instrument validity and reliability were assessed prior to analysis to ensure data quality. Given that the dependent variable is dichotomous, binary logistic regression was employed to estimate the probability of purchase decisions. The results indicate that perceived ease of use has a positive and statistically significant effect on purchasing decisions and serves as the most influential predictor in the model. Price perception also shows a positive and significant effect, although with a smaller magnitude. Overall, the model demonstrates acceptable classification performance. These findings suggest that improving system usability is more effective than price adjustments in increasing vending machine usage among students.
Analisis Pengaruh Curah Hujan terhadap Produksi Padi dalam Mendukung Ketahanan Pangan di Indonesia: Pendekatan Regresi Data Panel Anisa Sa'baniyah; Laila Najmi Rei; Edy Widodo
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 12, No 2 (2026): Juli 2026
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v12i2.23091

Abstract

Food security in Indonesia plays a crucial role in maintaining national social and economic stability, given that most of the population still depends on rice as their staple food. The sustainability of rice production is a major factor in supporting food security, but the agricultural sector is highly vulnerable to climate change, particularly rainfall fluctuations and uncertainty. Changes in rainfall patterns have the potential to disrupt the rice growth process, change planting patterns, and reduce crop productivity. This study aims to evaluate the impact of rainfall on rice production in supporting food security in Indonesia. This analysis applies a panel data regression methodology that combines period and region coverage. The data used are rice production, harvest area, and population data available on the BPS website, while rainfall data are from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), with the unit of analysis being all provinces in Indonesia. The research variables include rainfall, harvested area, and population as independent variables and rice production as the dependent variable. The analysis method uses a panel data model approach, namely the Fixed Effect Model (FEM) and Random Effect Model (REM). The best model is selected through the Hausman test. The results of this study are expected to indicate that rainfall affects rice production, with variations in impact between regions and time periods. These findings are expected to form the basis for the formulation of agricultural policies and climate change adaptation strategies to maintain national food security.
Analisis Komputasi Statistik pada Faktor Kemiskinan Pulau Sulawesi Tahun 2011-2024 Menggunakan Regresi Data Panel Muthia Bonita Meilany Putri; Aprilia Rahmawati; Edy Widodo
Almufi Jurnal Sosial dan Humaniora Vol 3 No 2: Juli (2026)
Publisher : Yayasan Almubarak Fil Ilmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63821/ash.v3i2.649

Abstract

Kemiskinan merupakan permasalahan pembangunan yang masih menjadi perhatian utama di Pulau Sulawesi karena mencerminkan ketimpangan kesejahteraan antar wilayah. Penelitian ini bertujuan untuk menganalisis pengaruh Indeks Pembangunan Manusia (IPM), tingkat pengangguran, dan pertumbuhan ekonomi terhadap tingkat kemiskinan di Pulau Sulawesi dengan menggunakan pendekatan regresi data panel. Data yang digunakan merupakan data panel provinsi di Pulau Sulawesi dengan periode pengamatan tertentu. Metode analisis yang digunakan meliputi Common Effect Model (CEM), Fixed Effect Model (FEM), dan Random Effect Model (REM). Pemilihan model terbaik dilakukan melalui uji Chow dan uji Hausman, yang menunjukkan bahwa Random Effect Model (REM) merupakan model yang paling sesuai. Selanjutnya, dilakukan pengujian asumsi klasik yang menunjukkan adanya heteroskedastisitas, sehingga estimasi model dikoreksi menggunakan robust standard error (HC1) agar diperoleh hasil yang konsisten dan reliabel. Proses penyederhanaan model menggunakan metode backward elimination menghasilkan model akhir yang hanya memasukkan variabel Indeks Pembangunan Manusia (IPM) sebagai variabel yang berpengaruh signifikan terhadap tingkat kemiskinan. Hasil estimasi menunjukkan bahwa IPM memiliki pengaruh negatif dan signifikan terhadap tingkat kemiskinan, yang mengindikasikan bahwa peningkatan kualitas pembangunan manusia berkontribusi dalam menurunkan tingkat kemiskinan di Pulau Sulawesi. Sementara itu, tingkat pengangguran dan pertumbuhan ekonomi tidak menunjukkan pengaruh yang signifikan secara statistik. Temuan ini menegaskan bahwa peningkatan kualitas pembangunan manusia merupakan faktor kunci dalam upaya pengentasan kemiskinan di Pulau Sulawesi.
Co-Authors ACHMAD FAUZAN Ade Ahmad Faizal Adisti Nurul Irmayanti Aditya Rizq Herlandy K Adryan Adryan Afdhah Nur Riadhoh Afifah Zahrunnisa Aisya Putri Zanuarizqi Aisya Putri Zanuarizqi Aisykha Reisla Rayhan Ajeng Retno Elprilita Almadayani Almadayani Anisa Sa'baniyah Anisa Srikandi Annisa Noor Hidayat Aprilia Rahmawati Aprin Nurfika Azhar Apriyani Bella Thania Ashabul Akbar Maulana Astrika Praokta Fialine Athallah Widyatama Rafii Atsila Nurtsabita Chandra Arinda Handayani Cheryl Ayu Melyani Daffa Alya Alodia Danial Al Farizi Dea Aulia Nandita Desinta Eka Sari Desy Endriani Dhea Indah Syafira Said Dining Dwi Suci Riyani Enggar Prima Jati Faried Abimanyu Faris Nasirudin Fatihatun Naja Febiyanti Alfiah Feri Wijayanto Fitria Norma Aula Zahro Galuh Eka Puspita Ghaitsa Zahira Shafa Giana Artika Aprianti Giana Artika Aprianti, Giana Artika Inas Rafidah Istina Alya Rosyada Jihan Nurwahidaha Julfasmi Hi M. N Kosmaryati Kosmaryati Laila Najmi Rei Lalu Bayu Alamsyah Latifah Nur Wijayanti M. Paris Ramdoni Rasantaka Malecita Nur Atala Singgih Marwah Nur Hakim Mila Pindianti Mochamad Fahmi Ashshidiqi Muhammad Bariklana Muna Malika Muthia Bonita Meilany Putri Muthia Citra Safira Muthia Rahmatun Nisa' Nabila Aulia Putri Ganessa Nabila Aulia Putri Ganessa Nadhira Ferita Kusuma Nidzar Zulmi Dwisyahputra Novendri Isra Asriny Nur Mutmainnah Djafar Purnama Akbar Putri Meliana Ariani Putri Stania Adhiana Rahmi Novika Harahap Refinanda Nur Isfahani Renanta Dzakiya Nafalana Riska Yulianti Riza Amelia Choerunnisa Rosiana Rahma Dewi Salsabila Basalamah Sekti Kartika Dini Sheilta Alphenia Sheilta Alphenia Shelbi Salsabilla Sururin Syafira Irsalina Syinta Nuri Mashita Takayuki Pratama Titania Tasya Wananda Wahyu Sa'dun Akbar Wanda Listathea Putri Widya Astuti Yosi Ghea Prasetyowati Yulia Anggi Anjelina Zahrah Zeinawaqi Zakiyatul Fitriyah Zakiyatush Shufila Zumrotul Wahidah