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All Journal J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Scientific Journal of Informatics
Apri Dwi Lestari
Universitas Negeri Semarang
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Pelayanan Administrasi Digital untuk Meningkatkan Kinerja Pelayanan Administrasi di Desa Kalisidi Rini Muzayanah; Muhammad Syauqi Al-Haqqi; Subhan Subhan; Apri Dwi Lestari; Muhammad Daffa Izzuddin; Yuliana Putri Setyowati; Fidya Nur Styaningsih; Nur Afan Syarifudin; Ahmad Raihan; Wiyan Herra Herviana; Adam Satrio Kanza; Muhammad Iqhbal Abdillah; Istiqomah Istiqomah; Rafael Vito Adrian; Gading Nur Salmi; Cecep Bagus Surya Karta Atmaja; Budi Prasetio
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 7, No 1 (2023): April 2023
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/j-abdipamas.v7i1.2826

Abstract

ABSTRACTVillage is the smallest element in the goverment administration which has an obligation to realize the welfare of the village community. To create the welfare of the community, administrative services must be carried out effectively by implementing digitalization. This activity will identify training activities on digitizing administrative services carried out in Kalisidi Village and analyze the extent of the influence of digitalization on improving village government performance. The methods that the researcher uses in writing this article include Forum Group Discussion (FGD), demonstration, and evaluation. The surveys carried out included an analysis of service needs in Kalisidi village, demonstration of the use of services, and observation of satisfaction with the service system of Kalisidi Village that had been developed. The results of the training activities carried out can be seen from the understanding of the skateholder of Kalisidi village in using the Kalisidi village information management service system. The existence of training on digitizing administrative services should maximize the use of digital service information systems so that the performance of the Kalisidi village government increases.. Kata Kunci: Digitalization; Administration; Village;Training.   ABSTRAKDesa merupakan unsur terkecil dalam tata kelola pemerintahan yang memiliki kewajiban untuk menciptakan kesejahteraan masyarakat desa. Untuk menciptakan kesejahteraan masyarakat, tata kelola pelayanan administrasi harus dilakukan secara efektif dengan mengimplementasikan Digitalisasi. Kegiatan ini akan mengidentifikasi kegiatan pelatihan digitalisasi pelayanan administrasi yang dilaksanakan di Desa Kalisidi untuk mengetahui sejauh mana pengaruh digitalisasi terhadap peningkatan kinerja pemerintahan desa dalam kegiatan pelayanan administrasi. Metode yang peneliti gunakan dalam penulisan artikel ini antara lain Forum Group Discussion (FGD), demonstrasi, dan evaluasi. Survei yang dilakukan meliputi analisis kebutuhan layanan di desa Kalisidi, demonstrasi penggunaan layanan, dan observasi kepuasan terhadap sistem pelayanan Desa Kalisidi yang telah dikembangkan. Hasil dari kegiatan pelatihan yang dilakukan dapat dilihat dari pemahaman perangkat desa Kalisidi dalam menggunakan sistem layanan manajemen informasi desa kalisidi. Adanya pelatihan digitalisasi pelayanan administrasi hendaknya memaksimalkan penggunaan sistem informasi pelayanan digital agar kinerja pemerintah desa Kalisidi meningkat. Kata Kunci: Digitalisasi; Administration; Desa; Pelatihan.
Optimizing Customer Segmentation in Online Retail Transactions through the Implementation of the K-Means Clustering Algorithm Desi Adrianti Awaliyah; Budi Prasetiyo; Rini Muzayanah; Apri Dwi Lestari
Scientific Journal of Informatics Vol. 11 No. 2: Regular Issue
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i2.6137

Abstract

Purpose: The main objective of this research is optimal use of customer segmentation using the Recency, Frequency and Monetary (RFM) approach so that companies can better understand and comprehend the needs of each customer. By carrying out this segmentation, companies can communicate better and provide services tailored to each customer. Methods: The K-means algorithm is used as the main method for customer segmentation in this research. This research uses a dataset of online retail customers. Apart from that, this research also uses the elbow method to help determine the best number of clusters to be created by the model. Result: Based on the elbow method, the most optimal is to use 3 clusters for this case. Thus, in K-means modeling, forming 3 clusters is the best choice. Clusters produce groups of customers who have specific characteristics in each cluster. The analysis shows that quantity and unit price have a significant influence on online retail customer behavior. Novelty: This research strengthens the trend of using the K-means algorithm for customer segmentation in online retail datasets, which has proven popular in journals from 2018 to 2022. This research creates 3 new variables that will be used by the model to understand the characteristics of customer transaction behavior. This study also emphasizes the importance of exploratory data analysis in understanding data before clustering and the use of the elbow method to determine the most appropriate number of clusters, providing a significant contribution in analyzing customer segmentation.
Co-Authors Adam Satrio Kanza Ahmad Raihan Budi Prasetio Budi Prasetiyo Cecep Bagus Surya Karta Atmaja Desi Adrianti Awaliyah Fidya Nur Styaningsih Gading Nur Salmi Istiqomah Istiqomah Muhammad Daffa Izzuddin Muhammad Iqhbal Abdillah Muhammad Syauqi Al-Haqqi Nur Afan syarifudin Rafael Vito Adrian Rini Muzayanah Subhan Subhan Wiyan Herra Herviana Yuliana Putri Setyowati