Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Muhamad Santoso
Universitas Pamulang
Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PELATIHAN MS OFFICE DAN PEMBUATAN GOOGLE FORM SEBAGAI SALAH SATU INOVASI DALAM KEGIATAN BELAJAR MENGAJAR DI PONDOK PESANTREN BAHRUL HADI ARRAHMANI PONDOK PETIR– DEPOK Indra Kristianto; Abdullah Muhajir; Ahmad Ahmad; Bram Purnomo; Muhamad Santoso
Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Vol 3, No 1 (2022): Edisi Januari
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/al-jpkm.v3i1.17064

Abstract

Pondok pesantren merupakan salah satu lembaga pendidikan Islam yang merupakan hasil buah karya bangsa Indonesia. Pendidikan pondok pesantren Bahrul Hadi Arrahmani  bertujuan untuk memperdalam ilmu pengetahuan al-Quran dan hadits. terdapat pembentukan karakter pada santri sendiri. Peserta didik tidak hanya dididik melalui transfer of knowlege tetapi juga transfer of value. Pondok pesantren harus mewujudkan system 4 pendidikan yang sinergik, yakni system pendidikan yang memadukan akar tradisi dan modernitas. Dunia pendidikan saat ini khususnya jenjang sekolah seluruhnya mulai beradaptasi dengan era teknologi dan rata-rata pengerjaan tugas menggunakan Ms. Office dan Google form.Kemampuan menggunakan Ms. Office dan google form saat ini berfungsi sebagai standarisasi seseorang dalam menggunakan komputer, karena hampir semua hal dalam pembuatan laporan atau pekerjaan kantor menggunakan Ms. Office dan google form. Maka kegiatan pengabdian ini memberikan pelatihan dan pengetahuan tentang pemanfaatan Microsoft Word, Excell,  serta Google form untuk mengerjakan tugas serta melatih dan mengajarkan siswa dalam penggunaan Ms. Office dan Google form.
Implementasi Metode K-Means Clustering Untuk Menganalisis Pola Pembelian Pelanggan Di E-Commerce (Studi Kasus: Pitapita Accessories) Soleh Damarudin; Muhamad Santoso
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 6 No. 1 (2026): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v6i1.10329

Abstract

This study discusses the implementation of the K-Means Clustering method to analyze customer purchasing patterns in the PitaPita Accessories e-commerce. The main problem addressed is the absence of a structured customer segmentation, causing marketing strategies to remain generic and less targeted. This research aims to apply the K-Means algorithm to group customers based on their purchasing behavior, process transaction data into numerical attributes, and present the segmentation results as a basis for developing more personalized and effective marketing strategies. The dataset used in this study consists of 571 customer records and 571 transaction records. The analysis was conducted by constructing Recency, Frequency, and Monetary (RFM) attributes, where recency represents the time difference between the most recent transaction and a reference date, frequency represents the total number of transactions per customer, and monetary represents the total purchase value per customer. The RFM data were then clustered using the K-Means algorithm with K = 3 clusters. The results indicate that K-Means was successfully implemented in a web-based system and was able to generate customer segmentation into three clusters with distinct purchasing characteristics, reflected by the number of members and the average RFM values in each cluster. This segmentation can support decision-making for more targeted promotions, customer retention, and product offering strategies according to the characteristics of each customer group.
Co-Authors Abdullah Muhajir Ahmad Ahmad Bram Purnomo Indra Kristianto Soleh Damarudin