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All Journal Ekonomi Bisnis Jurnal Ilmiah Teknologi dan Rekayasa Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Angkasa: Jurnal Ilmiah Bidang Teknologi Interdisciplinary Social Studies Emitor: Jurnal Teknik Elektro Prosiding SeNTIK STI&K
Supriyanto, Raden
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Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Public Health Social Sciences

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Selection of the Best Marketplace using SAW and WP Methods: A Case Study of Bekasi City Esa Hadistra; Raden Supriyanto
SISTEMASI Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i2.4846

Abstract

In today’s digital era, e-commerce has made transactions between sellers and buyers easier by eliminating the need for face-to-face interaction. The abundance of available marketplaces often makes it difficult for consumers to choose the platform that best fits their needs. This study aims to provide recommendations for the best marketplace based on four key criteria: trust, user interface design, promotions, and product completeness. The Simple Additive Weighting (SAW) and Weighted Product (WP) methods were applied to support this decision-making process. The research was conducted on five popular marketplaces, with data collected through questionnaires distributed to 200 active respondents. Both SAW and WP methods were used to calculate the weight and score of each marketplace based on consumer preferences regarding the predefined criteria. The results show that Shopee ranked as the top marketplace, achieving the highest scores of 0.99 (SAW) and 5.77 (WP), due to its strengths in trust, promotional offers, and product variety. Tokopedia placed second, with scores of 0.98 (SAW) and 5.75 (WP), excelling in its more intuitive user interface design. Other marketplaces showed strengths in specific criteria but were unable to surpass Shopee and Tokopedia in the final scores. These findings provide valuable insights for consumers in selecting the most suitable marketplace for their needs, and for marketplace operators seeking to improve service quality based on consumer-prioritized criteria.
Smart Irrigation System Prototype for Chili Plants with Voice Control Using Wit.ai Based on NodeMCU 8266 Muhammad Haekal; Raden Supriyanto
Emitor: Jurnal Teknik Elektro Vol 26, No 2: July 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v26i2.17100

Abstract

Abstract— Traditional irrigation practices for chili cultivation often lead to inefficient water usage and inconsistent scheduling, adversely affecting crop yields and sustainability. To address these limitations, this study proposes a smart irrigation system prototype utilizing the NodeMCU ESP8266 microcontroller integrated with both environmental sensing and dual-mode voice control. The system operates in two modes: (1) automatic, based on real-time sensor inputs from soil moisture, rainfall, and water level detectors; and (2) manual, through voice commands processed via the Wit.ai API or offline triggers using the KY-037 high-sensitivity sound sensor. The ESP8266 serves as the core controller, executing irrigation logic and relay-based pump activation programmed through the Arduino IDE. Experimental testing demonstrated a 95% accuracy rate in voice command recognition and consistent sensor performance aligned with predefined irrigation thresholds. This dual-control approach ensures operational flexibility under varying connectivity conditions, making it well-suited for small to medium-scale agriculture, particularly in rural environments with intermittent internet access. The system represents an original contribution to the integration of IoT and natural language processing in precision agriculture, with potential for scalable implementation.
Co-Authors Alfianti, May Linda Tri Althof Thabibi Daniel Alexander Ermandy Astama Putra Esa Hadistra Galih Aris Harmawan Harmawan, Galih Aris Karmilasari Lussiana ETP Moh. Naezer Muhammad Haekal Yulia Purwaningsih