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DIGITALISASI SISTEM INFORMASI INVENTARIS BERBASIS WEBSITE DI MASJID AR-RAYYAN Dewi Marini Umi Atmaja; Arif Rahman Hakim; Deny Haryadi; Putri Rizkiyah; Alan Abyan Maftuh; Zhawa Kamela
Jurnal Pengabdian Masyarakat FKIP UTP Vol 7 No 2 (2026): PROFICIO : Jurnal Abdimas FKIP UTP
Publisher : PROFICIO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/.v7i2.6663

Abstract

Transformasi digital mendorong organisasi berbasis komunitas, termasuk masjid, untuk meningkatkan efektivitas dan transparansi pengelolaan administrasi. Masjid Ar-Rayyan di Kabupaten Bekasi masih mengelola inventaris secara manual, sehingga berisiko mengalami kesalahan pencatatan, kehilangan data, serta kesulitan dalam pemantauan dan pelaporan inventaris. Program Pengabdian kepada Masyarakat ini bertujuan mengimplementasikan Sistem Informasi Inventaris berbasis website untuk meningkatkan efisiensi, akurasi, dan transparansi pengelolaan aset masjid. Metode yang digunakan meliputi analisis kebutuhan, implementasi sistem, pelatihan dan pendampingan pengguna, serta evaluasi. Sistem yang dikembangkan menyediakan fitur pengelolaan inventaris, pemantauan kondisi barang, pencatatan peminjaman, dan penyusunan laporan otomatis. Hasil yang diharapkan adalah meningkatnya kualitas administrasi inventaris, penguatan tata kelola aset yang lebih akuntabel, serta peningkatan literasi digital pengurus masjid dalam mendukung transformasi digital yang berkelanjutan.
IMPLEMENTASI SMART HYDROPONIC SYSTEM BERBASIS IOT SEBAGAI MODEL PEMBERDAYAAN SMART COMMUNITY DI PERUMAHAN GRIYA KREASI AQILLA Arif Rahman Hakim; Dewi Marini Umi Atmaja; Widang Muttaqin; Deny Haryadi; Adelia Chitra Sazkia; Daniswara Rafi Pandora
Jurnal Pengabdian Masyarakat FKIP UTP Vol 7 No 2 (2026): PROFICIO : Jurnal Abdimas FKIP UTP
Publisher : PROFICIO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/.v7i2.6664

Abstract

Perkembangan kawasan perumahan perkotaan menyebabkan keterbatasan lahan produktif yang berdampak pada meningkatnya ketergantungan rumah tangga terhadap pasokan sayuran dari pasar, serta berkurangnya aktivitas produktif berbasis komunitas di lingkungan perumahan. Program Pengabdian kepada Masyarakat ini bertujuan mengimplementasikan Smart Hydroponic System berbasis Internet of Things (IoT) di Perumahan Griya Kreasi Aqilla, RT 03/RW 20, Desa Sukajaya, Kecamatan Cibitung, Kabupaten Bekasi sebagai solusi pertanian perkotaan sekaligus sarana pemberdayaan smart community. Sistem hidroponik memungkinkan budidaya tanaman tanpa tanah pada lahan terbatas seperti teras rumah atau halaman sempit, sedangkan teknologi IoT digunakan untuk membantu pemantauan kondisi tanaman secara lebih mudah dan terukur. Metode pelaksanaan menggunakan pendekatan partisipatif melalui tahapan persiapan dan identifikasi kebutuhan, perancangan solusi, implementasi sistem, pelatihan dan pendampingan, serta monitoring dan evaluasi. Masyarakat dilibatkan secara aktif dalam setiap tahapan agar mampu mengoperasikan sistem secara mandiri. Program ini diharapkan meningkatkan literasi teknologi masyarakat, kemandirian pangan, dan mendorong terciptanya ekosistem pembelajaran dan pemberdayaan yang berkelanjutan
Prediksi Penyakit Diabetes Untuk Pencegahan Dini Dengan Metode Regresi Linear Niko Suwaryo Niko; Arif Rahman; Dewi Marini Umi Atmaja; Amat Basri
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.739

Abstract

Estimation is a method in which we can estimate the population value by using the sample value and which can model an equation to calculate the estimate i.e. a linear regression algorithm attempts to model the relationship between two variables by fitting a linear equation to observe the data. The application of a simple Linear Regression algorithm model can be implemented well and is able to provide a new insight for the need for predictions about the condition of diabetes data quality in controlling sugar levels in the body. Predictions of diabetes in the future can be known through the use of datasets using a prediction method approach through structured stages in analyzing the data used to produce an RSME value when evaluating a model of 0.000 +/- 0.000. Performance testing of the models and algorithms used in the evaluation can produce a picture that is relevant to the scenario being modeled. The RMSE value is obtained when evaluating the model performance of 0.000 +/- 0.000 through the RapidMiner Studio application.
Cybersecurity Awareness and Community Response to Phishing Threats: An Indonesian Social Behavior Analysis Fadhil Rozi Hendrawan; Arif Rahman Hakim; Dewi Marini Umi Atmaja; Zaidan Mufaddhal
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 02 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i02.2332

Abstract

This research discusses the increased levels of connectivity and digital engagement experienced by the people of Indonesia due to the development of digital technology as well as the risks associated with the growing prevalence of phishing cyber crimes in the country despite having the third-highest population of internet users globally. Although the level of digital literacy varies across different regions in the country, younger users in Indonesia appear to be the most vulnerable to phishing attacks. In view of the above, this paper seeks to identify and explore the behavioral dimensions that determine vulnerability to phishing amongst young internet users in Indonesia through a qualitative exploration of behavioral exposure towards such cyber crime. The research employs a quantitative cross-sectional survey method using structured questionnaires provided to 53 participants in their teens who were frequently involved in using digital platforms for purposes such as engaging on social media, making purchases from e-commerce sites, and executing payments via digital platforms, all chosen using a purposive sample method. Validity and reliability were measured using the Principal Component Analysis, the Kaiser-Meyer-Olkin validity test, Bartlett's Test of Sphericity and Cronbach's Alpha test respectively. Validity tests produced a KMO measure of 0.587 with a statistically significant Bartlett test result (χ²=71.940, df=10, p<0.001). Using PCA, two factors contributing 70.997% cumulative variance were identified with Eigenvalue values of 2.299(45.98%) and 1.251(25.02%). The first factor measures active reception of links via digital platforms and the second measures exposure to bypassing attempts via OTP channels. The four-item scale had a Cronbach Alpha of 0.743 implying acceptable internal consistency.
Klasterisasi Stok Produk Retail Untuk Menetukan Pergerakan Kebutuhan Konsumen Dengan Algoritma K-Means Niko Suwaryo Niko; Arif Rahman; Dewi Marini Umi Atmaja; Amat Basri
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.736

Abstract

− Retail product clustering is a product arrangement that is adjusted to the flow of placement or this layout is more suitable for product placement according to standards. Utilization of existing data through the clustering method approach can be applied in analyzing product grouping of data on availability and inventory of goods in warehouses so that it can provide knowledge and information. The clustering method is processed using the K-Means algorithm, where the results also show a new insight, namely grouping products based on 3 clusters. Cluster 1 is a product category with low availability or Low, namely 939 out of 1000 availability categories based on the number of products tested, then cluster 2 is a product category with medium or Medium availability, namely 51 out of 1000 availability categories based on the number of products tested, and finally cluster 3 is a product category with fairly high availability or High, namely 10 out of 100 availability categories based on the number of products tested. Tests using Rapid Miner tools can also produce similar insights, namely that each cluster has cluster group members according to manual calculations such as Cluster_0 in Rapid Miner has 51 cluster members representing the Medium cluster, Cluster_1 has 939 cluster group members representing the Low cluster, and Cluster_2 has 10 cluster members corresponding to the cluster representation High.