Claim Missing Document
Check
Articles

Found 26 Documents
Search

Penerapan Artificial Intelligence Guna Mendukung Pembelajaran Mahasiswa Lediwara, Nadiza; Bimorogo, Sembada Denrineksa; Heikmakhtiar, Aulia Khamas; Alghiffari, Ahmad Abizar; Zarfinal, Andila; Dhaifullah, Rendi Hanif
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.979

Abstract

This community service aims to provide participants about implementation of artificial intelligence to support student activity. Through this activity, participants can gain more knowledge beside academic activity. This community service includes providing material through lectures followed by question and answer activities. The results of community service show that participants (39 people) have high enthusiasm in listening to the presentation. The result of this community service is that participants can gain more knowledge about the implementation of artificial intelligence to support student activity.ABSTRAKKegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan pemahaman kepada partisipan mengenai penerapan kecerdasan buatan guna mendukung pembelajaran mahasiswa. Melalui kegiatan ini, partisipan dapat memperoleh pengetahuan lebih disamping pengetahuan yang didapat pada lingkungan perkuliahan. Program pengabdian kepada masyarakat ini meliputi pemberian materi melalui ceramah dilanjutkan dengan kegiatan tanya-jawab. Hasil pengabdian kepada masyarakat menunjukkan para partisipan yang berjumlah 39 orang memiliki antusiasme yang tinggi dalam mendengarkan paparan. Hasil dari pengabdian kepada masyarakat ini adalah peserta dapat memperoleh pengetahuan lebih mengenai penerapan kecerdasan buatan guna mendukung pembelajaran mahasiswa. 
Edukasi Bahaya Judi Online di Madrasah Aliyah Al-Kautsar Lediwara, Nadiza; Alghiffari, Ahmad Abizar; Aulia, Regifia Ningrum Nur; Dhaifullah, Rendi Hanif; Bimorogo, Sembada Denrineksa; Heikmakhtiar, Aulia Khamas; H., Nick Holson Mangiring Silalahi
I-Com: Indonesian Community Journal Vol 5 No 3 (2025): I-Com: Indonesian Community Journal (September 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i3.7793

Abstract

Kegiatan pengabdian kepada masyarakat yang telah dilaksanakan dalam bentuk edukasi mengenai bahaya judi online ditujukan kepada siswa/i di Madrasah Aliyah Yayasan Al Kautsar yang dihadiri sebanyak 47 orang. Maraknya akses terhadap judi online di kalangan remaja menimbulkan berbagai dampak negatif, baik dari sisi psikologis, sosial, maupun akademik. Tujuan dari kegiatan ini adalah untuk meningkatkan kesadaran remaja akan risiko dan konsekuensi dalam aktivitas perjudian digital. Metode pelaksanaan dilakukan melalui penyampaian materi edukatif, diskusi interaktif, serta refleksi bersama yang mendorong peserta untuk mengidentifikasi dampak nyata dari judi online. Hasil dari kegiatan menunjukkan adanya peningkatan pemahaman peserta terhadap bahaya judi online serta tumbuhnya kesadaran untuk menjauhi aktivitas tersebut. Kegiatan ini juga memberikan ruang bagi peserta untuk mengeksplorasi alternatif aktivitas yang lebih positif dan produktif. Edukasi semacam ini terbukti efektif sebagai langkah preventif dalam menekan potensi kecanduan judi online di kalangan remaja.
Comparison Naïve Bayes and SVM to Classify Drought-Infected Rice Plants Based on Morphological Characteristics in Supporting National Food Security Damaris Easter Nugrahita Christi; Angelia Melisa Hutapea; Fulkan Kafilah Al Husein; Nadiza Lediwara; Sembada Denrineksa Bimorogo
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 6 (2025): Jurnal Sains Student Research (JSSR) Desember
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i6.6557

Abstract

Data mining is part of the Knowledge Discovery in Database (KDD) process. The use of data mining serves to classify, predict, and extract other useful information from large data sets. This study aims to classify rice plants under treatment (drought stress and control) using data mining, focusing on the analysis of the variables of Leaf Area (LA), Root Length (RL), and Shoot Length (SL). Each classification algorithm has different characteristics, resulting in varied performance results. After testing both classification algorithms, the accuracy results were 71.70% for Naïve Bayes and 73.85% for SVM. This shows that the SVM algorithm performs better than Naïve Bayes algorithms to determine best treatment of rice to support national food security further. Furthermore, It also can be concluded that using a machine learning approach can solve problems in the classification of rice plants affected by drought threats is fairly effective with the maximum score obtained is only 73.85%.
Development of a laravel-based web information system for network device maintenance management using the rapid application development method Bimorogo, Sembada Denrineksa; Lediwara, Nadiza; Heikhmakhtiar, Aulia Khamas; Aulia, Regifia Ningrum Nur; Sunami, Yoga; Priyani, Kadek Jana; Azahra, Manda Fatimah
Jurnal Mandiri IT Vol. 14 No. 2 (2025): Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i2.456

Abstract

Information and Communication Technology (ICT) infrastructure is essential for government operations, particularly in managing network devices. Within the ICT Hardware Infrastructure Subdivision (Subbidang Harinfra TIK) of the Data and Information Center at the Indonesian Ministry of Defense, documentation of maintenance activities remains fragmented, making monitoring, analysis, and historical data storage less effective. This study developed a web-based information system using the Laravel framework and the Rapid Application Development (RAD) approach to address these issues. The system automates documentation, monitoring, and reporting, ensuring more structured, transparent, and efficient processes. Black Box testing confirmed reliable functionality, data validation, and improved efficiency in maintenance activities. Unlike previous studies that focused on general asset or helpdesk systems, this research emphasizes ICT infrastructure maintenance in a defense environment, highlighting security and adaptability for sensitive data. The implementation enhances systematic documentation and operational transparency, with future improvements directed toward intelligent notifications and platform integration in line with Industry 4.0 trends.
Perancangan Sistem Informasi Inventaris Barang Laboratorium Komputer SMPN 11 Kota Bengkulu Lediwara, Nadiza; Rivaldi, Muhammad
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 2 No. 4 (2019): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

SMPN 11 Bengkulu City used the system manually for several years to handle activities such as data collection and inventory reports. It caused the frequent occurrence of goods scattered, sometimes damaged goods were not recorded, the occurrence of data redundancy, so that errors often occured in data collection and calculation. The aim of this research is to build a website-based inventory information system that can minimize data redundancies and errors in calculations and data collection. The methodology used in making this system uses the waterfall method, UML diagrams, database design, and interface design. The results of this research are web-based information systems. The development of the system indicates that this system has the potential to support the activities of processing inventory data automatically, quickly and accurately.
Implementation of Finite State Automata to Simulation of Automatic Clothes-Folding Lediwara, Nadiza; Heikmakhtiar, Aulia Khamas; Bimorogo, Sembada Denrineksa; Ahmed, Alfian Habib; Agusti, Rizki Yulian
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

Inconsistencies and differences clothes-folding methods are often a major problem in the military. Everyone has thier method to fold and their method is still traditional. Besides, the neatness of the clothes in the military is emphasized. This method certainly took up their time and energy then the folding was different to each other. To solve this problem, a simulation machine is made to fold the clothes automatically. This system works using Finite State Automa type Non-Deterministic Finite Automata. Finite State Automata are used because they are simple and do not require storage space. The result of this research is a design of an automatic clothes-folding that can be implemented properly and correctly for UNHAN RI’s students. This automatic clothes-folding has succeeded to create consistent folds even though user tried with different clothes.