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Factors Associated with Household Waste Disposal Behavior among Housewives in Sumber Marga Telang Subdistrict, Banyuasin Regency, in 2025 Novianti, Leni
Socius: Jurnal Penelitian Ilmu-Ilmu Sosial Vol 3, No 5 (2025): December 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18036142

Abstract

Household waste management remain a serious environmental health issue in Marga Telang subdistrict Banyuasin Regency. The behavior of housewives in disposing of waste in influenced by several factors such as knowledge, attitude and availability  of waste disposal facilities objective.: to identify the factors influencing houswives behavior in waste disposal in Marga Telang Subdistrict, Banyuasin Regency in 2025.  This study used a cross Sectional survey design with 92 randomly selected respondents. Data were collected using a structured questionnaire and analyzed uni Variately and bivariately using the chi square test Results: The analysis showed a significant relationship between knowledge (P =0,014 ) and attitude ( p=0,020 ) with housewives’ waste disposal behavior, and the availability of facilities  significantly related( p= 0,001).
Exploratory Data Analysis (EDA) dalam Dataset Penerimaan Mahasiswa Baru Universitas XYZ Palembang Isa, Indra Griha Tofik; Zulkarnaini, Zulkarnaini; Novianti, Leni; Elfaladonna, Febie; Agustri, Suzan
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 3 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i3.4125

Abstract

Keberhasilan suatu pemodelan salah satunya dipengaruhi oleh kualitas dari dataset yang dianalisis. Exploratory Data Analysis merupakan teknik yang digunakan dalam data understanding untuk mengeksplorasi data mana saja yang memiliki kualitas yang nantinya digunakan dalam tahapan pemodelan. Kasus yang diangkat dalam penelitian ini adalah dataset penerimaan mahasiswa baru di Universitas XYZ, dimana untuk tujuan akhirnya adalah bagaimana memprediksikan preferensi program studi bagi calon pendaftar. Namun dari dataset tersebut dengan beragam data perlu dikaji lebih lanjut untuk mencermati kualitas data yang valid, kredibel, mendukung dalam pemodelan preferensi pilihan program studi. Sebuah EDA akan diimplementasikan sebagai solusi dari penelaahan data dengan melihat ragam data dari dataset penerimaan mahasiswa baru, potensi fitur yang mendukung dalam tahap pemodelan, rekomendasi yang perlu dilakukan untuk tahapan lanjut dalam sebuah siklus data sains. Tahapan penelitian dilakukan dengan Analisis Permasalahan, Akuisisi Data, Exploratory Data Analysis (EDA), Interpretasi Anomali, Rekomendasi Fitur. Hasil akhir berupa 14 rekomendasi fitur dari dataset penerimaan mahasiswa baru yang terdiri dari Jenis Kelamin, Tanggal Lahir (Umur), Program Studi, Status Sipil, Provinsi, Kota, Anak Ke, Jumlah Saudara, Penghasilan, Jenjang, Program Kuliah, Jenis Sekolah, Jurusan Sekolah, Nilai Unas, Tahun Lulus
Platform An E-Commerce Platform for Coffee MSMEs: System Design and Basic Features Emilia Hesti; Afifah Syifah Kaila; Ade Silvia Handayani; Leni Novianti; M Arief Rakhman
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2756

Abstract

Digitalization of Micro, Small, and Medium Enterprises (MSMEs) has emerged as a strategic necessity in the era of digital transformation. However, many coffee-based MSMEs in Indonesia continue to rely on third-party marketplace platforms that limit autonomy over customer data, pricing control, and brand personalization. This study aims to address these constraints by designing and developing an independent, web-based e-commerce system that aligns with the specific operational needs of coffee MSMEs particularly those seeking low-cost, user-friendly solutions that enable direct customer engagement and reduce commission-based dependencies. The system was developed using Laravel for the backend and Vite.js for the frontend, adhering to the sequential stages of the waterfall model: requirements analysis, system design, implementation, and testing. Key features include product catalog management, shopping cart functionality, manual payment upload, and product review integration. Black-box testing confirmed that all features operated without critical errors under typical usage conditions. Usability testing conducted with five MSME users resulted in an average satisfaction score of 4.23 out of 5 (83%), with high ratings for ease of navigation and interface responsiveness. Performance metrics, including average page load time (<=3 seconds), device compatibility, and user flow scalability, met expected standards. Although the current system employs manual payment validation, future enhancements will focus on integrating secure payment gateways, real-time analytics dashboards, and modular APIs. In summary, the platform offers a practical and scalable e-commerce solution tailored to the autonomy and contextual demands of Indonesia's coffee MSMEs.