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All Journal SemanTIK : Teknik Informasi Prosiding Konferensi Nasional PKM-CSR Informatics Management, Engineering and Information System Journal
Raharjo, Adi
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Library & Information Science Nursing Public Health Social Sciences Other

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Using Supervised Machine Learning to Predict Sales in Marketplaces: Case study Predicting Sales of Padimas Bread in Marketplaces in Indonesia Raharjo, Adi; Utama, Nur Ichsan; Lubis, Muharman
Informatics Management, Engineering and Information System Journal Vol. 1 No. 2 (2023): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/imeisj.v1i2.264

Abstract

This project intends to apply supervised machine learning to anticipate sales of Padimas bread in marketplaces in Indonesia, with an emphasis on evaluating sales data to gain more profits and predict future income. Data from the Shopee, Tokopedia, and TikTok markets in 2023 was analyzed, employing techniques like exploratory sales data analysis and machine learning. The analysis findings encompass the top-selling products, the highest sales figures, regions with the most substantial sales, overall market sales, sales patterns, and revenue forecasts. The primary discoveries encompass the widespread appeal of chocolate toast, the most substantial sales of banana chocolate toast in West Java, and Shopee as the marketplace with the most significant sales and revenue. Sales trends exhibit a pattern of oscillation around an average value, but income from sales demonstrates a downward tendency until the 30th day. The strategic ramifications of this analysis encompass augmenting the production of sought-after goods, amplifying sales in specific regions, and delving into prospective marketplaces.
Analysis of the Influence of Selecting Project Implementation Methods on Project Success: Case Study of Competency Certificate Reminder Feature Development at PT Eleska Iatki Mulyati, Rika; Suakanto, Sinung; Raharjo, Adi; Agustien, Ferry; Priyadi, Djoko
SemanTIK : Teknik Informasi Vol 10, No 1 (2024):
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v10i1.48410

Abstract

Project success relies on effective management and efficient implementation methods. These methods optimize potential, overcome risks, develop timely plans, maintain quality, and manage budgets. A correlation analysis was conducted on four attributes: clarity, accuracy, effectiveness, selection of methods, and standard methods. The results showed a high correlation between project implementation methods and project success, indicating a significant impact on project success. PT Eleska Iatki, a business process provider, requires digital projects for competency certificate validity period reminders, emphasizing the importance of appropriate implementation methods for project success and company goals. Keywords; Project Management, Implementation Methods, Correlation, Chi-Square, Data Analysis
PENERAPAN INTERNET OF THINGS (IoT) DALAM UPAYA PENINGKATAN PRODUKTIVITAS TANAMAN HIAS PADA GREENHOUSE DI DESA KAYU AMBON KECAMATAN LEMBANG KABUPATEN BANDUNG BARAT Suakanto, Sinung; Putra, Seno Adi; Wijaksana, Syifa Nuurunnisa; Raharjo, Adi
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 7 (2024): PKMCSR2024: Kolaborasi Hexahelix dalam Optimalisasi Potensi Pariwisata di Indonesia: A
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v7i0.2433

Abstract

Kegiatan pengabdian masyarakat di Desa Kayu Ambon, Kecamatan Lembang, Kabupaten Bandung Barat mencoba mengembangkan teknologi Internet of Things (IoT) pada greenhouse dalam rangka untuk meningkatkan produktivitas tanaman hias. Teknologi ini mengintegrasikan sensor-sensor canggih dan sistem otomatisasi yang memonitor serta mengontrol parameter lingkungan seperti suhu, kelembaban, pencahayaan, dan kualitas tanah secara real-time. Data yang diperoleh dapat diakses melalui aplikasi seluler atau platform web, memungkinkan penyesuaian lingkungan tumbuh secara presisi. Hasil implementasi menunjukkan peningkatan efisiensi penggunaan sumber daya serta penciptaan kondisi optimal bagi pertumbuhan tanaman hias, yang pada akhirnya berkontribusi pada peningkatan produktivitas dan pengurangan dampak lingkungan negatif dari praktik pertanian konvensional. Kegiatan ini mendukung pertanian berkelanjutan dan mengoptimalkan pengelolaan sumber daya di wilayah tersebut.
Co-Authors Agustien, Ferry Muharman Lubis Mulyati, Rika Nur Ichsan Utama Priyadi, Djoko Seno Adi Putra Sinung Suakanto Wijaksana, Syifa Nuurunnisa