Article Per Year (5 Year)
p-Index From 2021 - 2026
4.129
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI BISNIS JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics Jurnas Nasional Teknologi dan Sistem Informasi CESS (Journal of Computer Engineering, System and Science) Jurnal Terapan Abdimas KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Journal of Applied Geospatial Information Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL INTEGRASI Jurnal Komputer Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of New Media Technology JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Infomedia SENTIA 2017 KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Jurnal of Applied Multimedia and Networking Journal of Applied Computer Science and Technology (JACOST) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Desain dan Analisis Teknologi Bulletin of Social Informatics Theory and Application Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dwi Ely Kurniawan
Politeknik Negeri Batam
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 47 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 47 Documents
Search

 1   2   3   4   5 
Metode Agile Scrum Dalam Pengembangan Sistem Pengendali Stok Barang Arnomo, Sasa Ani; Kurniawan, Dwi Ely
Jurnal Desain Dan Analisis Teknologi Vol. 3 No. 2 (2024): Juli
Publisher : Aptikom Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58520/jddat.v3i2.66

Abstract

Pengendali persediaan bertanggung jawab untuk membuat keputusan mengenai kebijakan keluar masuk barang. Produksi dan prosedur harus diperhitungan dengan tepat agar dari semua yang ditangani memperlancar prose produksi. Terkadang terdapat beberapa kekurangan dalam proses pencatatan dan pengolahan persediaan barang pada suatu Perusahaan. Terkait hal itu akan berdampak pada proses produksi dan transaksi penjualan. Perancangan sistem yang diusulkan adalah agile scrum. Scrum merupakan sebuah model yang mengutamakan kecepatan pengembangan yang terdisi dari Product Bcklog, Sprint Planning Meeting, Sprint Backlog, Sprint, Daily Scrum, Sprint Review, Sprint Retrospective, dan Finished Work. Penyusunan daftar prioritas fitur dan kebutuhan sistem dalam bentuk Product Backlog mendukung percepatan pengembangan sistem pengendali stok barang.
Pengembangan Virtual Tour 360 Interaktif untuk Meningkatkan Pengunjung Wisata di Pulau Mubut Agung Riyadi; Fadli Suandi; Riwinoto Riwinoto; Dwi Ely Kurniawan; Ridho Hafiedz; Wirabuana Sakti; Dian Nurdiansyah; Atalarik Ramli; Kerobaganet Kerobaganet; Bisma Khairunnas
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 1 No. 4 (2023): Juli: ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v1i4.111

Abstract

Mubut Island, which is located on Galang Island, Riau Archipelago, is one of the beauties of tourism in Indonesia. Information about the Mubut Island Tourism Object is not widely available in digital media, so that the delivery of information about Mubut Island is not optimal. Therefore, the purpose of this service is to provide information on Mubut Beach attractions using Virtual Reality (VR) technology. In addition to presenting the natural beauty of Mubut Island as a whole with 360 videos, this VR application also provides tourist education on visiting Mubut Island. This VR application was socialized at an exhibition in a mall in Batam to get VR user feedback. From the results of the socialization, it was found that 120 respondents assessed the benefits of this application and got a Likert index of 83.75% included in the useful category for potential tourists.
PROGRAM PENGABDIAN: SOSIALIASI BAHAYA KEBAKARAN MENGGUNAKAN PROTOTYPE ALAT BERBASIS IoT UNTUK WARGA HINTERLAND BATAM Kurniawan, Dwi Ely; Thohari, Ahmad Hamim
Jurnal Terapan Abdimas Vol 6, No 2 (2021)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jta.v6i2.7687

Abstract

Abstract. The dry season is starting to be felt in Batam and brings the threat of drought. This dry or hot season has an impact in the form of the threat of protected forest fires in the Rempang and Galang Island areas, Batam. Residents of Pasir Panjang at the end of last month a fire accident occurred in the residential area of the village. This has made residents wary of fires. The development of technology is currently increasing rapidly with the existence of the Internet of Thing (IOT) which is one of the solutions to problems in daily activities, including in handling fires. The purpose of this service is to try to make an application for fire detection in the residential area. The method of implementation is carried out in stages, needs analysis, training and mentoring programs, handing over of tools and evaluation of activities. The results of this service are in the form of a prototype IoT application product. Another result is from training in the form of socialization of fire hazard prevention by demonstrating a tool with a very good and enthusiastic response from the community based on an average rating scale above 4. Abstrak. Musim kemarau mulai terasa di Batam dan membawa ancaman kekeringan. Musim kemarau atau panas ini menimbulkan dampak berupa ancaman kebakaran hutan lindung di kawasan Pulau Rempang dan Galang, Batam. Warga Pasir Panjang akhir bulan lalu terjadi musibah kebakaran yang menimpa di kawasan perkampungan tempat tinggal. Hal ini membuat warga was-was terhadap bancana kebakaran. Perkembangan teknologi saat ini semakin pesat dengan adanya Internet of Thing (IOT) menjadi salah satu pemecahan masalah dalam aktifitas sehari-hari, tak terkecuali dalam penanganan kebakaran. Tujuan dari pengabdian ini adalah mencoba membuat suatu aplikasi untuk pendeteksi kebakaran di daerah perkampungan tempat tinggal. Metode pelaksanaan dilakukan secara bertahap analisa kebutuhan, program pelatihan dan pendampingan, penyerahan alat dan evaluasi kegiatan. Hasil pengabdian berupa produk prototype aplikasi IoT. Hasil lain yakni dari pelatihan berupa sosialisasi pencegahan bahaya kebakaran dengan memperagakan alat dengan respon masyarakat sangat baik dan antusias berdasarkan rata2 penilaian skala diatas 4.  
Classification of COVID-19 Aid Recipients in Kasomalang District Using the K-Nearest Neighbor Method Permatasari, Ismi Aprilianti; Dermawan, Budi Arif; Maulana, Iqbal; Kurniawan, Dwi Ely
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.3279

Abstract

The impact of the Coronavirus, also known as COVID-19, which emerged in 2019, has not only threatened public health but also affected the global economy, including Indonesia. The government has initiated various aid programs to assist the community during the COVID-19 pandemic. These aids are expected to alleviate the economic burden on the affected population. One such aid program is the Direct Cash Assistance (Bantuan Langsung Tunai/BLT) from the Village Fund, which has been distributed since the onset of COVID-19 in Indonesia. However, the distribution of BLT has encountered several issues, including misidentification of recipients and double or excessive distribution beyond the established criteria. To address these issues, data mining for the classification of aid recipients can be employed. This study uses the K-Nearest Neighbor (KNN) method for data mining classification to classify residents' data with new patterns, ensuring aid distribution aligns with the criteria and eliminating double recipients. The application of K-Nearest Neighbor to the population data in Kasomalang District yields optimal performance, with evaluation results showing an accuracy of 96%, precision of 0.98, recall of 0.96, and F1 score of 0.97 using the confusion matrix method.
Sales Analysis Using Apriori Algorithm in Data Mining Application on Food and Beverage (F&B) Transactions Marselina, Sonia; Jaman, Jajam Haerul; Kurniawan, Dwi Ely
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.5026

Abstract

The current business landscape has compelled many companies to compete in boosting their company's revenue, particularly in the F&B sector. Existing sales transaction data has not been fully maximized in determining the business strategy of companies. Therefore, the implementation of data mining is necessary to analyze and explore available data to discover new information that is more beneficial for the company. In this study, we analyze sales transaction data using the a priori algorithm method because this algorithm efficiently handles the data mining process on a large scale with a substantial amount of data. The results of this study indicate that the formed association rules can determine patterns of product purchases that are frequently bought together. The established association rules successfully combine sales transaction data into two-item combinations, namely green tea latte and french fries, with a support value of 16% and a confidence level of 83%. These rules can be used as a reference in determining the company's business strategy.
Analisis Sentimen Ulasan Wisatawan Terhadap Alun-Alun Kota Batam: Perbandingan Kinerja Metode Naive Bayes dan Support Vector Machine Friadi, John; Kurniawan, Dwi Ely
Jurnal Sistem Informasi Bisnis Vol 14, No 4 (2024): Volume 14 Nomor 4 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss4pp403-407

Abstract

Batam City, as a rapidly developing tourism destination in Indonesia, continues to strive to enhance the potential of its tourist attractions to attract more visitors. The assessment of reviews from tourists is crucial in identifying necessary development measures to improve the quality of tourist attractions. This research aims to analyze the sentiment of reviews for the Alun-Alun Kota Batam tourist destination by leveraging data from Google Maps. Two classification methods, Naive Bayes and Support Vector Machine, are employed for sentiment analysis, and their performances are compared. From 1140 collected reviews, the data is categorized into three labels: positive, negative, and neutral. The research results indicate that the Support Vector Machine method achieves higher accuracy (94%) compared to Naive Bayes (83%). This study contributes insights into visitor sentiments towards Alun-Alun Kota Batam, with implications for policy development and more effective actions in enhancing local tourism appeal.
Analisis Sentimen Twitter Terhadap Opini Publik Atas Isu Pencalonan Puan Maharani dalam PILPRES 2024 Vonega, Defangga Aby; Fadila, Aminudin; Kurniawan, Dwi Ely
Journal of Applied Informatics and Computing Vol. 6 No. 2 (2022): December 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i2.4300

Abstract

Twitter can be seen as a platform for candidates and users to gain substantial reach to show their views on who the president will be elected to in 2024. The aim of this study is to explore contrasting information over time regarding whether Puan Maharani can be one of the candidates. The best according to the Indonesian people. In this study, sentiment analysis was carried out using the text mining method and several libraries such as TextBlob, VaderSentiment, and SentiWordNet to retrieve and classify the polarity of opinions from data that had been crawled. In the dataset generated with the keyword "Puan Maharani" The average negative sentiment is only 0.1%, neutral sentiment is 97.25, and positive sentiment is 2.55%. It can be concluded that Twitter users tend to be neither aggressive nor defensive in discussing issues leading to the candidacy of Puan Maharani in the upcoming 2024 Indonesian presidential election.
Development of an IoT-Based Mobile Plastic Shredder for Optimized Waste Management in Batam Lawi, Ansarullah; Dermawan, Aulia Agung; Kurniawan , Dwi Ely; Yuni Roza; Ardilla, Thania; ., Jaswin
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9208

Abstract

Plastic waste management has become a critical environmental issue, with its improper handling leading to severe ecological and health impacts. This research addresses the challenge by designing and developing an IoT-based mobile plastic shredding machine aimed at improving waste management efficiency, particularly in Batam City, Indonesia. Utilizing Borg and Gall’s R&D framework, this study integrates IoT technology to enhance the machine’s functionality, enabling real-time data collection and remote monitoring through mobile applications. The machine comprises three functional levels: a storage area for raw plastic bottles, a shredding unit with proximity sensors, and a post-shredding storage compartment. Key innovations include weight sensors for automatic material handling and real-time data transmission via the Blynk IoT platform, controlled by an Arduino microcontroller. The modular design ensures portability, easy maintenance, and adaptability for use in various locations, including coastal areas. Prototyping involved integrating proximity sensors, load cells, relays, and motor control systems to ensure smooth operation. The machine demonstrated consistent performance during testing, with its IoT features enabling remote control and monitoring via smartphones. This facilitates optimized waste collection and contributes to reducing environmental pollution caused by plastic waste. The IoT-based mobile plastic shredding machine not only enhances waste management efficiency but also supports sustainability goals. Its portability and environmentally friendly design make it a practical solution for managing plastic waste in underserved areas. This innovation provides a significant step toward addressing the global plastic waste crisis, aligning with technological advancements to promote sustainable waste management practices.
Teknik Penyembunyian Data Menggunakan Kombinasi Kriptografi Rijndael dan Steganografi Least Significant Bit (LSB) Dwi Ely Kurniawan; Narupi Narupi
Jurnal Teknik Informatika dan Sistem Informasi Vol 2 No 3 (2016): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v2i3.630

Abstract

In this study, techniques for Data Hiding performed by combining the Rijndael algorithm and the Least Significant Bit (LSB). At first the sender encrypts the message and inserts the message into the image, and then decipher the hidden message back that can be read by the recipient. System testing is done by sending data from Rijndael encryption and Least Significant Bits to the various media sender. Results from the study indicate that the data is encrypted before and after have the same relative size, but changing the amount of image quality depends on the bit value of the quality of media and messages. The more difference bit value, the greater the changes.
Scenario-Based Association Rule Mining in Veterinary Services Using FP-Growth: Differentiating Clinical and Customer-Driven Patterns Rafi Dio; Aulia Agung Dermawan; Dwila Sempi Yusiani; Rifaldi Herikson; Andikha, Andikha; Dwi Ely Kurniawan; Adyk Marga Raharja
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9698

Abstract

Veterinary clinics routinely generate transactional data that contain valuable information about both operational workflows and customer preferences. This study aims to differentiate between procedural and customer-driven service patterns by applying the FP-Growth association rule mining algorithm to 1,000 anonymized transactions comprising 94 unique items, collected from a veterinary clinic in West Java, Indonesia, during 2023. Two distinct analytical scenarios were constructed: Scenario 1 includes all services (procedural and customer-driven), while Scenario 2 excludes procedural items such as “Vet” and “Visit Dokter” to focus solely on client-initiated behaviors. Data preprocessing involved aggregating transaction items into a market basket format suitable for frequent pattern mining. The FP-Growth algorithm was employed to extract association rules, evaluated using support, confidence, and lift metrics. Results from Scenario 1 revealed rule patterns reflective of standard clinical protocols and operational dependencies, informing bundled service packages and inventory management. In contrast, Scenario 2 uncovered customer-driven associations, highlighting opportunities for personalized promotions and service innovation. The comparative analysis demonstrates the utility of scenario-based association rule mining for both operational optimization and customer engagement. While the findings provide actionable insights for clinic management, further validation with practitioners and implementation in multi-clinic settings are recommended to confirm real-world applicability and enhance generalizability.
Co-Authors ., Jaswin Abie Pratama Ad, Roni Adi, Roni Adian Fatchur Rohim Afdhol Dzikri Agung Riyadi Agus Fatulloh Agus Fatulloh Ahmad Hamim Thohari Ahmad Hamim Tohari Alvendo Wahyu Aranski Andikha, Andikha Ardilla, Thania Ari Novriansyah Aritonang, Muhammad Adi Setiawan Arnomo, Sasa Ani Atalarik Ramli Aulia Agung Dermawan Azis Saputra Bagus Wardana Bisma Khairunnas Budi Arif Dermawan Burhan, Rifa’atul Mahmudah condra antoni Defriyanuar Dhining Desi Ratna Sari Dian Nurdiansyah Dimas Akmarul Putera Dodi Prima Resda Dodi Prima Resda Dwila Sempi Yusiani Eka Mutia Lubis Evita S.Tr.Kom Fadila, Aminudin Fadli Suandi Fauziah Mahmuda Finkye Priya Gunadi Firmal Firmal Hamdani Arif Handry Elsharry Adriyanto Hartadi, Nanda Rachmat Herman, Nanna Suryana Hernando, Luki Heru Wijanarko Hilda Widyastuti Iqbal Maulana Jaman, Jajam Haerul John Friadi Jorvick Steve Kerobaganet Kerobaganet Kusworo Adi Lawi, Ansarullah Leman, Abdul Mutalib M. Yudha Putra Maidel Fani Manurung, Putriana Carona Marga Raharja, Adyk Marselina, Sonia Maryani Septiana Maya Armys Roma Sitorus Mhd Adi Setiawan Aritonang Mira Chandra Kirana Mirza Oktanizar Muchammad Fajri Amirul Nashrullah Muchammad Fajri Amirul Nashrullah Muhamad Naharus Surur Muhammad Agus Muljanto Muhammad Idris Muhammad Nashrullah Muhammad Zainuddin Lubis Narupi Narupi Narupi Narupi, Narupi Nelmiawati, Nelmiawati Nur Cahyono Kushardianto Nur Cahyono Kushardianto Nur Imma Aulia Astori Permatasari, Ismi Aprilianti Prasetyawan, Purwono Pujiyono Pujiyono Putri, Intan Medisi Rafi Dio Raynold, Raynold Resda, Dodi Prima Ridho Hafiedz Rifaldi Herikson Rina Yulius Riwinoto, Riwinoto Rizky Pratama Hudhajanto Rizky Pratama Hudhajanto Rokhayati, Yeni Satriya Bayu Aji Selly Tri Amanda Siahaan, Arta Uly Sudra Irawan Supardianto Supardianto Syafarudin Fani Tian Havwini Ummatin, Kuntum Khoiro Uuf Brajawidagda Vonega, Defangga Aby Wenang Anurogo Wirabuana Sakti Yan Prada Hasibuan Yosi Handayani Yuni Roza