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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Tech-E JRST (Jurnal Riset Sains dan Teknologi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) PROFICIO: Jurnal Pengabdian Masyarakat Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Journal of Informatics and Communication Technology (JICT) IT For Society : Journal of Information Technology eProceedings of Engineering Innovative: Journal Of Social Science Research Journal of Informatics and Communication Technology (JICT) Smatika Jurnal : STIKI Informatika Jurnal IJCOSIN : Indonesian Journal of Community Service and Innovation
Dewi Marini Umi Atmaja
Telkom University
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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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.
Early detection of vascular streak dieback (VSD) disease in cocoa plants using deep learning Dewi Marini Umi Atmaja; Arif Rahman Hakim; Fadhil Rozi Hendrawan; Komang Diah Devi Pramesty; Naufal Fadhilah Fitrah; Faiz Rochmatullah Widhaputra
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1087-1096

Abstract

Vascular streak dieback (VSD), caused by Ceratobasidium theobromae, poses a significant threat to cocoa (Theobroma cacao) production, leading to substantial yield losses and plant mortality. Early detection is critical to mitigate disease spread and reduce economic impact. While convolutional neural network (CNN) architectures like VGG-16 and ResNet-50 excel in leaf disease detection, no prior studies address stem-based VSD symptomatology where the disease originates in vascular tissues. This study presents the first CNN specifically developed for cocoa stem VSD detection, achieving 99.16% test accuracy with a lightweight architecture that outperforms VGG16/ResNet50 in both accuracy and mobile inference speed. A novel dataset of 215 cocoa stem images was curated and augmented for robustness. Additional evaluation metrics, including precision, recall, specificity, and F1-score, further confirm the reliability of the model. The model was successfully converted into TensorFlow Lite (TFLite) format, enabling deployment on mobile devices for real-time disease detection. This study highlights the potential of integrating deep learning into mobile and drone-based agricultural systems to support precision farming and early intervention strategies.
Pendampingan Santri dalam Penggunaan Internet yang Positif dan Etis di Pondok Pesantren Ar-Risalah Cariu Bogor Antika Zahrotul Kamalia; Zaenur Rozikin; Dewi Marini Umi Atmaja
Indonesian Journal of Community Service and Innovation Vol. 6 No. 2 (2026): Agustus 2026
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v6i2.11939

Abstract

Penggunaan internet yang tidak terkendali juga dapat menimbulkan berbagai risiko, seperti paparan konten negatif, misinformasi, perundungan siber, penyalahgunaan data pribadi, serta kecanduan media sosial. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman santri di Pondok Pesantren Ar-Risalah Cariu, Bogor, mengenai penggunaan internet secara positif, etis, aman, dan sehat. Temuan awal menunjukkan capaian indikator pada pre-test masih relatif rendah, terutama pada aspek verifikasi informasi, keamanan dan privasi, serta etika digital, dengan capaian berkisar antara 46%–55%. Kegiatan dilaksanakan melalui penyuluhan, pelatihan, pendampingan, studi kasus, simulasi, dan diskusi interaktif dengan melibatkan 52 santri putra dan putri. Capaian program dievaluasi melalui pre-test dan post-test menggunakan lima indikator, yaitu literasi digital, etika dan tata krama digital, keamanan dan privasi, verifikasi informasi, serta penggunaan internet yang produktif dan sehat. Hasil evaluasi menunjukkan peningkatan pada seluruh indikator, dengan Rerata skor total meningkat dari 5,17 menjadi 8,60. Hasil tersebut menunjukkan bahwa pendampingan edukatif mampu meningkatkan pemahaman santri dalam menggunakan internet secara positif, etis, aman, sehat, dan bertanggung jawab sesuai dengan nilai-nilai pesantren.
Co-Authors Adelia Chitra Sazkia Adi Kuncoro Adisty Nilasari, Risma Al Zena Ismail Alan Abyan Maftuh Amat Basri Amat Basri Amat Basri Andri Ariyanto Andri Ariyanto Antika Zahrotul Kamalia Arif Rahman Arif Rahman Hakim Arif Rahman Hakim Arif Rahman Hakim Arif Rahman Hakim Arif Rahman Hakim Arif Rahman Hakim Aufa Hafiy Andhika Basri, Amat Daniswara Rafi Pandora Deny Haryadi Dio Kurnia Sandi Fadhil Rozi Hendrawan Faiz Rochmatullah Widhaputra Hadiana, Asep Id Haikal Apriandi Ilham Roni Yansyah Jonathan Gunawan Komang Diah Devi Pramesty Muttaqin, Widang Naufal Fadhilah Fitrah Netanel Danur Wendra Putri Rizkiyah Rila Mandala Rimbawan Oprasto, Raditya Ruaida Susanti Sanjaya, Andreas Rino Suwaryo, Niko Syafii, Muhamad Syifa Nurgaida Yutia Tugiman Tugiman Tugiman Tugiman Wina Witanti Yakub Zaenur Rozikin Zaidan Mufaddhal Zhawa Kamela