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All Journal Jurnal Riset Informatika Community Development Journal: Jurnal Pengabdian Masyarakat JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture

Handayani, Endah Tri Esti

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Author-ID : 1539340

Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Public Health

Published : 4 Documents Claim Missing Document

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Articles

PEMANFAATAN SOCIAL MEDIA MARKETING UNTUK PARA PELAKU BISNIS UMKM Ningsih, Sari; Fauziah, Fauziah; Pamungkasari, Panca Dewi; Hindarto, Djarot; Sholihati, Ira Diana; Handayani, Endah Tri Esti; Sari, Ratih Titi Komala
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 4 (2025): Volume 6 No 4 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i4.47652

Usaha Mikro, Kecil, dan Menengah (UMKM) memegang peranan krusial dalam mendukung perekonomian nasional, termasuk di wilayah Cikarang Selatan. Dalam era persaingan bisnis yang semakin intens, pelaku UMKM perlu mengadopsi teknologi digital agar tetap mampu bersaing. Salah satu pendekatan yang dinilai efektif adalah pemanfaatan pemasaran melalui media sosial. Berbagai platform seperti Instagram, Facebook, dan Twitter memberikan peluang luas bagi UMKM untuk memperluas jangkauan pasar, meningkatkan kesadaran merek, serta membangun kedekatan dengan konsumen. Program Pengabdian kepada Masyarakat (PKM) ini bertujuan mengidentifikasi sejauh mana pemanfaatan media sosial oleh pelaku UMKM di Cikarang Selatan serta dampaknya terhadap peningkatan penjualan dan pengenalan produk. Metode yang digunakan adalah survei kualitatif dan wawancara mendalam. Hasil yang diharapkan adalah peningkatan penjualan hingga 30% dalam enam bulan pertama pemanfaatan media sosial. Strategi yang diterapkan meliputi pembuatan konten menarik, penggunaan iklan berbayar, dan interaksi aktif dengan followers. Namun, pelaku UMKM menghadapi tantangan seperti keterbatasan pengetahuan tentang digital marketing dan keterbatasan waktu dalam mengelola akun. Oleh karena itu, pelatihan dan pendampingan diperlukan agar penggunaan social media marketing lebih optimal. Dengan pendekatan yang tepat, media sosial dapat menjadi alat efektif dalam mendukung pertumbuhan UMKM.

Apriori Algorithm and Business Intelligence Methods for Bookstore’s Customer Preferences Analysis Ramadhan, Silmy Kafi; Septiani, Devi; Rahman, Afida; Handayani, Endah Tri Esti
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 3 (2025): October
Publisher : Lumina Infinity Academy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study explores the use of a priori algorithm in analyzing sales transaction data at Rony Jaya Bookstore. By combining data mining and business intelligence, the study successfully uncovered significant customer buying patterns, which were then used to support strategic decision-making. The results of the analysis showed that there was a close relationship between certain book categories, such as Fiction Books and Educational Books with a confidence level of 87.5%, as well as Non-Fiction Books and Educational Books with a confidence level of 88.89%. These findings provide valuable insights into developing marketing strategies, such as creating custom promotional packages and arranging product layouts in stores to make them more appealing to customers. This research also highlights the importance of ensuring data quality so that the resulting analysis is more accurate and relevant. Overall, the study offers a practical guide for Rony Jaya Bookstore and other businesses looking to leverage data mining and business intelligence technologies to improve efficiency and customer satisfaction.

PUBLIC’S SENTIMENT ANALYSIS ON SHOPEE-FOOD SERVICE USING LEXICON-BASED AND SUPPORT VECTOR MACHINE Shalehanny, Shafira; Triayudi, Agung; Handayani, Endah Tri Esti
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Technology field following how era keep evolving. Social media already on everyone’s daily life and being a place for writing their opinion, either review or response for product and service that already being used. Twitter are one of popular social media on Indonesia, according to Statista data it reach 17.55 million users. For online business sector, knowing sentiment score are really important to stepping up their business. The use of machine learning, NLP (Natural Processing Language), and text mining for knowing the real meaning of opinion words given by customer called sentiment analysis. Two methods are using for data testing, the first is Lexicon Based and the second is Support Vector Machine (SVM). Data source that used for sentiment analyst are from keyword ‘ShopeeFood’ and ‘syopifud’. The result of analysis giving accuracy score 87%, precision score 81%, recall score 75%, and f1-score 78%.

ANALYSIS AND DESIGN OF MOBILE WEB-BASED MENU E-ORDER SYSTEMS USING THE PIECES METHOD (CASE STUDY: CAFÉ 50/50 COFFEE) Pratiwi, Nabilah Ananda; Triayudi, Agung; Handayani, Endah Tri Esti
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Café as a place to relax or chatter where visitors can order the menu available. In general, a café often has difficulty in serving customers, especially for menu ordering facilities. This is also experienced by café 50/50 Coffee which still makes menu reservations manually. Based on these problems, a system of e-order menus of web-based mobile applications is designed. The study aims to produce a mobile web ordering system that is then analyzed with the PIECES indicator to determine the level of user satisfaction. Design of this system using the waterfall model System Development Life Cycle (SDLC) development method and then analyzed the level of user satisfaction with the PIECES method. System testing uses usability testing with the USE Questionnaire method. System implementations are created with the help of the CodeIgniter framework and use the PHP programming language. The results of the study in the form of a menu e-order system at the 50/50 Coffee café with the conclusion of the analysis that the users of the e-order system were “SATISFIED”. Keywords: , , , ,

Co-Authors Agung Triayudi Fauziah Fauziah Hindarto, Djarot Pamungkasari, Panca Dewi Pratiwi, Nabilah Ananda Rahman, Afida Ramadhan, Silmy Kafi Ratih Titi Komalasari Sari Ningsih Septiani, Devi Shalehanny, Shafira Sholihati, Ira Diana

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