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All Journal Teknika Sinkron : Jurnal dan Penelitian Teknik Informatika Informatics for Educators and Professional : Journal of Informatics SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Sains dan Teknologi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Elektro dan Komputasi (ELKOM) Community Engagement and Emergence Journal (CEEJ) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Vokasi Informatika (JAVIT) COMMUNITY : Jurnal Pengabdian Kepada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Sains dan Komputer International Journal Software Engineering and Computer Science (IJSECS) Indonesian Journal of Multidisciplinary Science Aptekmas : Jurnal Pengabdian Kepada Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Artificial Intelligence and Digital Business Cross-border CKI On Spot SmartComp Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia kawanad International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science International Journal of Mechanical, Electrical and Civil Engineering International Journal of Law Social Sciences and Management Journal of Engineering, Electrical and Informatics Jurnal Komputer, Informasi dan Teknologi
Akbar, Yuma
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Optimasi Jaringan Sensor Nirkabel untuk Monitoring Suhu dan Kelembaban Yuma Akbar; Ikhsan Abror
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3066

Abstract

The development of Internet of Things (IoT) technology has provided new opportunities to improve monitoring through the integration of temperature and humidity sensors in wireless networks. This study aims to optimize a wireless sensor network for temperature and humidity monitoring. This study combines an experimental approach with network performance analysis and optimization methods. First, the selection of temperature and humidity sensors is carried out. Next, an efficient and reliable wireless sensor network architecture is designed to collect temperature and humidity data from various locations. The process of sending data from sensors to base stations and integration with IoT platforms are also studied. Furthermore, a series of experiments are conducted to test the performance of the wireless sensor network under real conditions. Analysis of the collected data is used to identify potential improvements in network performance and improve system reliability and responsiveness. The performance parameters evaluated include connection stability, data throughput, energy consumption, and communication latency. The results of this study contribute to the development of a monitoring system that is reliable, efficient, and easy to implement.
Pengembangan Sistem Firewall Adaptif Berbasis DNS untuk Memblokir Situs Pornografi di Jaringan IDN Boarding School Hazrul Aswad; Yuma Akbar; Muhamad Umar Hasan Asrori; Fatkul Toriq
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3835

Abstract

The fast development of information technology has improved internet availability but also raised exposure to dangerous material, especially pornography. Maintaining a safe online environment for students and the community at large is a challenge for IDN Boarding School. This study develops an adaptive firewall system using Pi-hole and DNS filtering, designed to block access to pornographic websites while preserving academic access. The system was tested through controlled network simulations involving 1000 domain requests, with results showing a 95% success rate in blocking unwanted content. The study adopts a rule-based design approach and includes usability testing with administrators. Findings suggest that integrating DNS-level filtering effectively reduces exposure to harmful content while maintaining internet stability. This research provides a scalable model for educational institutions seeking to enhance digital safety and responsible internet use.
Pengembangan Sistem Pembayaran pada Website Bimbingan Belajar Non-Formal Berbasis PHP MySQL di LOOP Coding BSD, Tangerang, Banten Arika Karpina; Yuma Akbar; Widya Ayu Lestari; Fitriani Noer Jamilah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 4 (2025): OCTOBER-DECEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i4.3846

Abstract

This study develops a web-based payment system using PHP and MySQL to overcome the problem of manual recording in course institutions. Many course places still use manual recording that is prone to errors, administrative delays, and difficulties in making financial reports. This system aims to improve efficiency and accuracy by providing a more structured administration solution. Features such as dashboards, monthly and annual payment monitoring, and financial data recaps allow for transparency and more effective data management. The implementation of the system at Loop Coding BSD, Tangerang, has been proven to speed up the recording process, reduce manual errors, and improve financial reports. This system improves operational efficiency, data security, and facilitates evaluation or auditing. Overall, the implementation of this web-based system makes it easier to manage payment data and supports smooth administration and financial management in educational institutions.
Website Sistem Pakar Deteksi Risiko Kesehatan Mahasiswa Berdasarkan Pola Tidur dan Aktivitas Harian Menggunakan Certainty Factor dengan Studi Kasus di STIE BPKP Akbar, Yuma; Betty Yel, Mesra; Laia, Apriyanus; Laia, Masaranto; Tafonao, Wewisman
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2026): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v5i1.401

Abstract

Student health directly affects the quality of learning and academic achievement. When sleep patterns and daily routines become irregular, students face a higher probability of developing health-related problems. To address this issue, a web-based expert system was designed and developed to detect student health risks based on sleep patterns and daily activities, applying the Certainty Factor (CF) method, with a case study conducted at STIE BPKP. The Certainty Factor method was used to quantify the degree of confidence in a particular health risk by combining symptom data selected by users with certainty weights assigned by domain experts. The system was built as a web application featuring three core functions: symptom data input, diagnostic processing, and output presentation in the form of health risk levels along with actionable recommendations. Functional testing was carried out to verify that each module operated correctly and that diagnostic outputs aligned with the expected Certainty Factor calculations. Findings from this study confirm that the expert system successfully assists students in assessing their health risk levels in a fast and accessible manner. Beyond individual use, the system also serves as a supporting instrument for academic institutions seeking to strengthen health awareness programs among their student population. As a result, this expert system holds practical value as an early-warning tool for student health risk detection.  
Sistem Absensi Harian Antititip Menggunakan QR Code Berubah Otomatis dan Verifikasi Foto untuk SMP Negeri 204 Jakarta Akbar, Yuma; Yel, Mesra Betty; Hutabarat, Joey Abdiner Parlindungan; Kamali, Muhamad Fawaz; Tafonao, Rekardius
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2026): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v5i1.402

Abstract

Manual attendance management at SMP Negeri 204 Jakarta has proven to be inefficient and susceptible to data loss and damage. This study aims to develop and validate a QR Code-based attendance application called "E-SMART ABSENT" as a practical effort to support the digitalization of school administration. As part of a community service initiative within the educational sector, the application was developed using the Research and Development (R&D) method with a waterfall development model. The development stages included user needs analysis, system interface design, software coding using Kotlin and Node.js, and comprehensive system testing. Data were collected through field observations, interviews with relevant stakeholders, questionnaire distribution, and documentation. Product feasibility was measured using a Likert Scale ranging from 1 to 5. Validation results indicate that the application achieved a feasibility score of 86% from media experts, 96% from material experts, and 80% from Grade 7 homeroom teachers, all of which fall within the feasible to highly feasible categories. These findings suggest that the application is ready for broader implementation and has the potential to serve as a reference model for digital attendance system development in other schools.  
Optimasi Keamanan Jaringan dengan Metode Sentralisasi Koneksi VPN Berbasis Zerotier pada Industri Soho Nasrullah Syamil Salahudin; Yuma Akbar
Jurnal Komputer, Informasi dan Teknologi Vol. 5 No. 2 (2025): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v5i2.3037

Abstract

Network security plays a crucial role in supporting productivity and ensuring operational continuity within Small Office/Home Office (SOHO) environments. However, limitations in infrastructure and technical resources often hinder the implementation of reliable and efficient security solutions. This study aims to optimize network security through a centralized VPN connection approach using ZeroTier technology. ZeroTier is a peer-to-peer-based virtual network solution that supports end-to-end encryption using the AES-256-GCM protocol and public key authentication based on Curve25519. It enables secure connections between computers within a virtual local network, even if they are physically located in different places. This research employs an experimental methodology by comparing two scenarios: a SOHO network without VPN and a SOHO network with centralized VPN connectivity using ZeroTier. The evaluation focuses on security parameters (encryption, authentication, and secure routing), network performance (latency and throughput), and ease of implementation. The results show that implementing ZeroTier significantly enhances data communication security without requiring additional physical infrastructure. Furthermore, the centralized connection scheme offers centralized traffic control, simplifies access management, and reduces potential vulnerabilities from uncontrolled peer-to-peer connections. In conclusion, the application of centralized VPN connections using ZeroTier proves effective in optimizing network security for SOHO environments through a lightweight, efficient, and easy-to-implement approach.
IMPLEMENTASI SISTEM PEMASARAN CERDAS BERBASIS DIGITAL PLATFORM UNTUK OPTIMALISASI PENJUALAN PRODUK GAMIS PADA UMKM INDAH COLLECTION Yel, Mesra Betty; Akbar, Yuma; Rivaldo, Ryan; Darnov, Ibnazia; Salsabila, Salsabila
COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/community.v6i2.10348

Abstract

Digital transformation has become imperative for Micro, Small, and Medium Enterprises (MSMEs) to maintain and enhance their competitiveness in the current digital era. Indah Collection, an MSME specializing in Muslimah fashion (gamis), faces business challenges due to limited market reach. This limitation stems from a shift in consumer habits towards online shopping, while the business remains reliant on conventional marketing methods. This community service research aims to design and implement a smart marketing system based on a digital platform to address these issues. The methodology employs a qualitative approach, utilizing semi-structured interviews with the business owner and literature review, followed by needs analysis and system design using the Agile Scrum development model. The outcome of this initiative is the implementation of a WordPress-based website functioning as a 24-hour digital showroom, integrated with e-commerce accounts to provide a more secure transaction platform. This implementation not only enhances product visibility and reach on a national scale but also improves operational efficiency in marketing. ABSTRAK Transformasi digital saat ini merupakan sebuah keharusan bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk mempertahankan dan meningkatkan daya saing di era digital ini. UMKM Indah Collection, yang berfokus pada produk busana muslim (gamis), menghadapi tantangan bisnis dalam keterbatasan jangkauan pasar akibat beralihnya kebiasaan masyarakat ke perbelanjaan via online, dan Indah Collection masih bergantung pada metode konvensional. Penelitian pengabdian masyarakat ini bertujuan untuk merancang dan mengimplementasikan sistem pemasaran cerdas berbasis platform digital untuk mengatasi hal tersebut. Metodologi yang digunakan adalah pendekatan kualitatif dengan wawancara semi-terstruktur dengan pemilik usaha dan studi literatur, kemudian dilanjutkan dengan analisis kebutuhan serta perancangan sistem dengan model pengembangan sistem Agile Scrum. Hasil dari kegiatan ini adalah terimplementasinya sebuah website berbasis WordPress yang berfungsi sebagai showroom digital 24 jam dan terintegrasi dengan akun e-commerce sebagai tempat bertransaksi yang lebih aman. Hal ini tidak hanya meningkatkan efisiensi visibilitas produk secara nasional, tetapi juga meningkatkan efisiensi operasional dalam pemasaran.
Social Media Sentiment Analysis of Instagram Use by Early Childhood Education Information System Development Based on Naïve Bayes Yuma Akbar; Sugiyono Sugiyono; Dedi Gunawan; Salsabila Putri Wibowo
International Journal of Information Engineering and Science Vol. 3 No. 1 (2026): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.341

Abstract

This study employs the Naïve Bayes method to analyze social media sentiment regarding the use of Instagram by early childhood users. The primary objective of this research is to understand public perceptions of the positive and negative impacts of Instagram usage among young children, particularly in relation to their social, psychological, and digital behavioral development. Sentiment analysis is carried out using data from various social media platforms, which are then classified into positive, negative, and neutral opinions. The classification results form the basis for developing an integrated educational information system designed to provide guidance for parents, educators, and children in using Instagram safely, healthily, and responsibly. The system also emphasizes the importance of age-appropriate content education, privacy settings, and strategies to minimize the risks of exposure to inappropriate content and the negative effects of excessive usage. This research is expected to support the creation of a more positive, safe, and beneficial digital environment for early childhood users while also serving as a reference in formulating effective policies in the social media era.
Classification of Sales of Best-Selling Products in Ira Store Using Naive Bayes Algorithm and K-Nearest Neighbor Algorithm Yuma Akbar; Kiki Setiawan; Muhammad Joko Umbaran Kharis Bahrudin; Intan Purwasih
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 1 No. 4 (2024): December : International Journal of Electrical Engineering, Mathematics and Com
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v1i4.13

Abstract

In today's world of retail and technology, competition is fiercely competitive. With the development of retail businesses increasing in number and mushrooming in a region, consumer needs are increasing, and retail business players are competing to develop their businesses by utilizing existing technology. Daily sales transaction data continues to increase, causing a lot of storage. Toko Ira has more than 228 sales transaction data records from 2023 to 2024 that have not been used. Data requires a lot of storage space. Additionally, the data has not been used in an effective way. Based on this problem, this research aims to use data mining to classify sales transaction data to determine which items are selling best. This research is a case study with a qualitative approach. This research was conducted with the Naive Bayes method and Rapidminer was used. The results of the sales transaction data classification research are the division of products into best-selling and non-selling categories. The results of this research show that the K-Nearest Neighbors (KNN) algorithm with a 50:50 data division is more effective in predicting and classifying sales of best-selling and non-selling products in IRA stores. The results show that the Naive Bayes algorithm has an accuracy of 89.91%, while the K-Nearest Neighbors (KNN) algorithm has an accuracy of 60.09%.
Public Sentiment Analysis on the Issue of Stopping Tax Payments on Twitter Using the Naive Bayes Method and Support Vector Machine Mesra Betty Yel; Yuma Akbar; Sugiyono Sugiyono; Nova Mahendra
Journal of Engineering, Electrical and Informatics Vol. 2 No. 1 (2022): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i1.203

Abstract

This research was conducted to find out public opinion on the Stop Paying Tax Issue on Twitter social media. In this study the author aims to use the Naïve Bayes Algorithm and Support Vector Machine in analyzing positive and negative sentiment labels and knowing the results of the accuracy of the Naïve Bayes algorithm and Support Vector Machine in posts by Twitter social media users related to Stop Paying Taxes. The data collection process in this study will using public data sets. The public data set is obtained from 2000 tweets. The final result of this comparison with the two test methods uses the naïve byes algorithm and Support Vector and Machine, namely the prediction results of Public Sentiment on Stop Paying Tax Issues based on data obtained from Twitter and implemented with the SVM (Support Vector Machine) method showing an accuracy value of 84.77 % Of the test data, it is predicted that 1,192 data are Negative Sentiment and 174 data are Positive Sentiment. Of the 1367 test data, 883 data were predicted as Negative Sentiment and 483 data as Positive Sentiment For the prediction results from Negative Sentiment, there were 1367 data predicted Negative and 1 data predicted Positive.
Co-Authors AA Sudharmawan, AA Abdul Shomad Abdulloh Abdurrahman Asyam Albahy Abror, Ikhsan Adhipramana, Fernanda Aditya Zakaria Hidayat Aditya Zakaria Hidayat Adzani, Adinda Mutiara Agung Pratama Agung Wianata Sugeng Kusuma Agung Wiranata Sugeng Kusuma Ahluna, Faza Ahmad Suprianto Ahmad Zulfikar Aidil Rizki Hidayat Aimar, Muqorrobin Akhsani, Ziyat Akmaludin Akmaludin Al Ammaar, Mohammad Farroos Albahy, Abdurrahman Asyam Aldi Sitohang Aldino Nur Ihsan Amrullah, Aziz Septian Angga Tristhanaya Anita Rosiana Anwar, Imam Dzikrilloh Ardana, Tegar Rizky Arfadhillah, Zahra Ari Ramadhan Arief, Yoga Sofyan Arif, Sulthan Cendikia Arika Karpina Arinal, Veri Aula, Raisah Fajri Aulia, Mutia Dwi Awang Hariman, Aloisius Az-zahra, Haura Salsabila Azis, Iim Muhaemin Abdul Aziz Septian Amrullah Azzahra, Yasmin Aulia Bachtiar, Yuliana Bebriani, Serli Betty Yel, Mesra Betty Yel, Mesra Bintoro, Bayu Bryan Pratama Cahyono, Bayu Adi Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Damayanti, Yulia Darnov, Ibnazia Dava Septya Arroufu Dedi Dwi Saputra Dedi Gunawan Dewa Gde Adi Murthi Udayana Doddy Mulyadi Saputra Edhy Poerwandono Edhy Poerwandono Edhy Poerwandono Eka Satria Maheswara Fadhil Khanifan Achmad Fadillah, Fauzan Fahmi Chairulloh Faisal Akbar Faisal Akbar Nasution Farhani, Aulia Faris Jawad Farisi, Muhamad Fatkul Toriq Febrianti, Syafira Feni Putriani Fentri Boy Pasaribu Fernanda Adhipramana Fitriani Noer Jamilah Franido, Richard Ghofurur Nawangsah Gipari Pradina Abdillah Gusniar Alfian Noor Hafiz, Tegar Muhamad Hartinah, Suci Sugih Hazrul Aswad Hengky, Mario Hidayat, Aditya Zakaria Hutabarat, Joey Abdiner Parlindungan Ikhsan Abror Ikhwanul Kurnia Rahman Intan Purwasih Jodi Juliansah Juliansah, Jodi Julianto, Muhammad Rizky Julvan Marzuki Putra Sibarani K, Benny Sulaiman Kamali, Muhamad Fawaz Kiki Setiawan Kiki Setiawan Kusuma, Agung Wiranata Sugeng Laia, Apriyanus Laia, Masaranto Lestari, Dinny Amalia M Ilham Setya Aji M Jundi Hakim Mafazi, Luthfillah Marjuki Maulana Putra Hertaryawan, Ryfan Mayangsari, Descania Meilisa Miftahul Huda Mizsuari Muamar Rizky Mohammad Farroos Al Ammaar Muhamad Fikri Nugraha Muhamad Umar Hasan Asrori Muhamad Zaeni Nadip Muhammad Arham Muhammad Arya Ramadhan Muhammad Faizal Lazuardi Muhammad Joko Umbaran Kharis Bahrudin Mulya, Citra Pricylia Ananda Nasrullah Syamil Salahudin Nirat Nirat Nirat, Nirat Noor, Gusniar Alfian Nova Mahendra Novianto, Firza NST, Silvan Nufus, Reda Hayati Nugraha, Muhamad Fikri Nur Arif Khairudin Nurfaishal, Muhammad Dzaky Nurmaylina, Vivi Oka Prasetiyo Oktavian, Nur Oky Tria Saputra Oky Tria Saputra7 Pakpahan, Gabriel Alezhandro Pane, Ropindo Pelix Permatasari, Veren Nita Piqih Akmal Poerwandono, Edhy Praja Raymond , Samuel Pramudhi, Aditya Bagas Pramudita, Diky Prasetiyo, Oka Putri S, Dhiyah Labibah Nauli Putri Wibowo, Salsabila Qibthiyah, Mariyatul Qolbi, Rofika Ramadhan, Muhammad Arya Regita, Anggit Nur Hannaa Rezha Mulia Revandy Richard Franido Richard Franido Rivaldo, Ryan Rizki Ananda Pratama Rizki Maulana, Rizki Rizky Adawiyah Rosiana, Grace Lolita S, Fahmi Chairulloh Widia Safhani, Rizca Sahrul Hidayat Sahrul Hidayat Salsabila Putri Wibowo Salsabila, Salsabila Saputra, Mochammed Erryandra Sarimole, Frencis Matheos Septiansyah, Ade Setiawan, Kiki Sibarani, Julvan Marzuki Putra Sinaga, Putri Cahyani Sri Lestari SRI LESTARI Sugiharto, Tri Sugiyono Sugiyono Sugiyono Sugiyono Sugiyono Sumpena Sumpena Sumpena, Sumpena Surapati, Untung Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Suwandi Suwandi Tafonao, Rekardius Tafonao, Wewisman Tegar Muhamad Hafiz Tegar Muhamad Hafiz Toriq, Fatkul Tri Wahyudi Tri Wahyudi Tristhanaya, Angga Tundo, Tundo Untung Surapati Untung Surapati Untung Surapati Untung Surapati Untung Wahyudi Untung Wahyudi Vivi Nurmaylina Wahyu Saputro Widya Ayu Lestari Wijaya, Rohmat WINDU GATA Yansen Yansen Yusril Nurhadi AS