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All Journal Teknika Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal EMT KITA Pendas : Jurnah Ilmiah Pendidikan Dasar JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Information System, Applied, Management, Accounting and Research Jurnal Informatika Kaputama (JIK) Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Applied Engineering and Technological Science (JAETS) Jurnal Teknik Elektro dan Komputasi (ELKOM) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia Journal of Applied Data Sciences Jurnal Cahaya Mandalika International Journal for Applied Information Management JUTECH : Journal Education and Technology COMMUNITY : Jurnal Pengabdian Kepada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan Journal of Artificial Intelligence and Digital Business CKI On Spot JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI SmartComp Journal of Computer Science Application and Engineering Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia kawanad Journal Innovations Computer Science International Journal of Applied Mathematics and Computing. International Journal of Computer Technology and Science International Journal of Information Engineering and Science Informasi interaktif : jurnal informatika dan teknologi informasi Computer Journal Journal of Engineering, Electrical and Informatics Jurnal Sinergi Digital dan Pemberdayaan Masyarakat
Betty Yel, Mesra
ST Ilmu Komputer Cipta Karya Informatika
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Public Sentiment Analysis on Instagram Regarding the Film "Pengepungan di Bukit Duri" Using Naïve Bayes Approach Azzizah, Putri Salfa Dhiyaa; Yel, Mesra Betty
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.335

Abstract

This study investigates public sentiment toward Joko Anwar’s 2025 film Pengepungan di Bukit Duri using computational text analysis on 583 Instagram comments. The research applies the Naïve Bayes algorithm combined with TF-IDF weighting to classify opinions into positive and negative sentiments. Data were collected through web scraping of public Instagram posts related to the film and processed through several stages including data cleaning, manual labeling, text preprocessing, and probabilistic classification. The results reveal that 72.9% of the comments express positive sentiment, while 27.1% are negative, indicating strong audience appreciation for the film’s narrative quality and social themes. The model achieved an accuracy of 83.67%, with a precision of 87.13%, recall of 91.04%, and F1-score of 89.04% for positive sentiment. These findings confirm that the Naïve Bayes approach is effective for analyzing short, informal Indonesian-language texts on social media. Practically, the results provide valuable insights for filmmakers and cultural analysts in understanding audience perceptions, managing digital reputation, and designing sentiment-based marketing strategies. Future research is recommended to employ hybrid models and multi-platform datasets to enhance sentiment detection, particularly for nuanced or negative expressions.
Implementation of C4.5 Algorithm for Student Satisfaction Analysis on Scout Extracurricular Activities in the Framework of Scout Extracurricular Information System Development at SDN Pondok Bambu 10 & 11 Rifai, Hanna Sabilla; Yel, Mesra Betty
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.338

Abstract

This study investigates student satisfaction toward Scout extracurricular activities at SDN Pondok Bambu 10 and 11 by applying the C4.5 algorithm within the CRISP-DM framework. Data were collected from 210 students through questionnaires and interviews to evaluate perceptions of program quality, mentor support, and social interaction. The C4.5 model achieved an accuracy rate of 99.52%, effectively identifying key determinants of student satisfaction. Results indicate that program quality, mentor support, and peer interaction are the most influential factors shaping students’ experiences. The decision tree produced interpretable rules that help educators understand satisfaction patterns and make data-driven improvements to program design. Compared with other methods such as SVM and Random Forest, C4.5 provides clearer interpretability while maintaining high predictive precision. The study further recommends integrating the model into a web-based information system to enable continuous monitoring and evaluation of extracurricular activities. These findings highlight the potential of data mining techniques to strengthen decision-making in education and to create a more adaptive, student-centered approach to extracurricular management.
Analysis of Enterprise Network Performance Using the SNMP (Simple Network Management Protocol) Method Alwanto, Hilmi; Yel, Mesra Betty
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.346

Abstract

This study examines the implementation of the Simple Network Management Protocol (SNMP) integrated with the Cacti monitoring platform to evaluate enterprise network performance within a simulated environment using PNETLab. A quantitative approach was applied through continuous data collection and measurement of key performance indicators such as throughput, packet loss, delay, and availability. The experiment utilized virtual Mikrotik routers connected to an Ubuntu-based Cacti server configured for SNMP polling and RRDTool data storage. Real-time visualization enabled efficient tracking of network behavior and early detection of anomalies. The results showed that under normal conditions, the network achieved stable performance with throughput between 70–90% of link capacity, zero packet loss, latency below 150 milliseconds, and availability above 99%, meeting ITU-T/TIPHON Quality of Service (QoS) standards. When faults were simulated, the system accurately detected and displayed traffic interruptions, allowing rapid identification and resolution of network issues. Compared with other monitoring tools such as Zabbix and Nagios, the SNMP–Cacti integration proved simpler to configure while maintaining analytical precision and reliability. These findings confirm that Cacti, supported by SNMP, provides an efficient, scalable, and low-overhead solution for enterprise network monitoring. Future development may incorporate SNMPv3 for enhanced security and automated alert systems or predictive analytics to improve responsiveness and proactive maintenance in larger infrastructures.
Enhancing Student Learning Engagement Through Game-Based Learning Implementation Using Naive Bayes Algorithm at BQ Boarding School Junior High Yusuf, Musalim; Yel, Mesra Betty
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.323

Abstract

This study investigates the impact of Game-Based Learning (GBL) on students’ learning interest and examines the effectiveness of the Naive Bayes algorithm in predicting engagement levels among junior high school students. Using a quasi-experimental quantitative design, data were collected from fifty seventh-grade students at SMP BQ Boarding School through pre-test and post-test questionnaires administered before and after a four-week GBL intervention. Statistical analysis revealed a significant increase in learning interest, with mean scores rising from 2.85 to 4.10 (t(49) = –10.24, p < 0.001), confirming the positive influence of GBL in promoting motivation and participation. The Naive Bayes classification model achieved an accuracy rate of 90%, with precision and recall values of 0.92 and 0.95 for the high-interest category, respectively. These results demonstrate that GBL effectively transforms classroom dynamics into interactive learning experiences while the Naive Bayes model reliably identifies students’ motivational levels. The combination of pedagogical innovation and predictive analytics presents a practical framework for educators to design adaptive interventions and data-informed teaching strategies. This study underscores the importance of integrating artificial intelligence and game-based methods in education to enhance engagement, motivation, and learning outcomes in the digital era.
Public Sentiment Analysis on Instagram Regarding the Film "Pengepungan di Bukit Duri" Using Naïve Bayes Approach Azzizah, Putri Salfa Dhiyaa; Yel, Mesra Betty
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.335

Abstract

This study investigates public sentiment toward Joko Anwar’s 2025 film Pengepungan di Bukit Duri using computational text analysis on 583 Instagram comments. The research applies the Naïve Bayes algorithm combined with TF-IDF weighting to classify opinions into positive and negative sentiments. Data were collected through web scraping of public Instagram posts related to the film and processed through several stages including data cleaning, manual labeling, text preprocessing, and probabilistic classification. The results reveal that 72.9% of the comments express positive sentiment, while 27.1% are negative, indicating strong audience appreciation for the film’s narrative quality and social themes. The model achieved an accuracy of 83.67%, with a precision of 87.13%, recall of 91.04%, and F1-score of 89.04% for positive sentiment. These findings confirm that the Naïve Bayes approach is effective for analyzing short, informal Indonesian-language texts on social media. Practically, the results provide valuable insights for filmmakers and cultural analysts in understanding audience perceptions, managing digital reputation, and designing sentiment-based marketing strategies. Future research is recommended to employ hybrid models and multi-platform datasets to enhance sentiment detection, particularly for nuanced or negative expressions.
Implementation of C4.5 Algorithm for Student Satisfaction Analysis on Scout Extracurricular Activities in the Framework of Scout Extracurricular Information System Development at SDN Pondok Bambu 10 & 11 Rifai, Hanna Sabilla; Yel, Mesra Betty
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.338

Abstract

This study investigates student satisfaction toward Scout extracurricular activities at SDN Pondok Bambu 10 and 11 by applying the C4.5 algorithm within the CRISP-DM framework. Data were collected from 210 students through questionnaires and interviews to evaluate perceptions of program quality, mentor support, and social interaction. The C4.5 model achieved an accuracy rate of 99.52%, effectively identifying key determinants of student satisfaction. Results indicate that program quality, mentor support, and peer interaction are the most influential factors shaping students’ experiences. The decision tree produced interpretable rules that help educators understand satisfaction patterns and make data-driven improvements to program design. Compared with other methods such as SVM and Random Forest, C4.5 provides clearer interpretability while maintaining high predictive precision. The study further recommends integrating the model into a web-based information system to enable continuous monitoring and evaluation of extracurricular activities. These findings highlight the potential of data mining techniques to strengthen decision-making in education and to create a more adaptive, student-centered approach to extracurricular management.
Analysis of Enterprise Network Performance Using the SNMP (Simple Network Management Protocol) Method Alwanto, Hilmi; Yel, Mesra Betty
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.346

Abstract

This study examines the implementation of the Simple Network Management Protocol (SNMP) integrated with the Cacti monitoring platform to evaluate enterprise network performance within a simulated environment using PNETLab. A quantitative approach was applied through continuous data collection and measurement of key performance indicators such as throughput, packet loss, delay, and availability. The experiment utilized virtual Mikrotik routers connected to an Ubuntu-based Cacti server configured for SNMP polling and RRDTool data storage. Real-time visualization enabled efficient tracking of network behavior and early detection of anomalies. The results showed that under normal conditions, the network achieved stable performance with throughput between 70–90% of link capacity, zero packet loss, latency below 150 milliseconds, and availability above 99%, meeting ITU-T/TIPHON Quality of Service (QoS) standards. When faults were simulated, the system accurately detected and displayed traffic interruptions, allowing rapid identification and resolution of network issues. Compared with other monitoring tools such as Zabbix and Nagios, the SNMP–Cacti integration proved simpler to configure while maintaining analytical precision and reliability. These findings confirm that Cacti, supported by SNMP, provides an efficient, scalable, and low-overhead solution for enterprise network monitoring. Future development may incorporate SNMPv3 for enhanced security and automated alert systems or predictive analytics to improve responsiveness and proactive maintenance in larger infrastructures.
OPTIMALISASI KEAMANAN FIREWALL PADA INFRASTRUKTUR JARINGAN SMK IDN BOGOR Yel, Mesra Betty; Mulyana, Dadang Iskandar; F, Joe Renaldy; Nurfaishal, Muhammad Dzaky; B, Muhamad Hasbi Toharudin
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 4 No. 1 (2023)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v4i1.1393

Abstract

IDN Bogor Vocational High School, which was established in 2016, is known as one of the many schools that are involved in the academic, religious and IT-focused world, as its vision is "Wonder of IT Smart of Praying". Given the large number of IT activities both in terms of learning and administratively office data collection (Administration), of course the application of a Firewall on the network is one of the crucial things needed to facilitate the security and authenticity of data from teachers and students. The purpose of preparing this KKP report is none other than to help optimize Firewall configurations, both on Firewall devices and PCs/Laptops along with counseling strategies as preventive measures to avoid physical/social engineering hacking at SMK IDN Bogor. As we all know, cybersecurity issues cannot be taken lightly. Therefore, for the sake of the continuity and smooth running of school education activities, Optimization/Standardization of all segments or parts that use the network within SMK IDN Bogor is required.
Optimalisasi Penggunaan Instagram dan Tiktok sebagai Media Promosi Digital bagi UMKM Risol Kabita Berbasis Analisis Sistem Informasi Akbar, Yuma; Yel, Mesra Betty; Rosiana, Grace Lolita; Putri S, Dhiyah Labibah Nauli; Sinaga, Putri Cahyani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5815

Abstract

Penelitian ini bertujuan untuk mengoptimalkan penggunaan Instagram dan TikTok sebagai media promosi digital berbasis analisis sistem informasi pada UMKM Risol Kabita yang berlokasi di Jl. Cipinang, Jakarta Timur. Permasalahan utama yang dihadapi UMKM meliputi strategi konten yang belum terarah, pemanfaatan data insight yang masih terbatas, serta keterbatasan sumber daya dalam pengelolaan media sosial. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis data sekunder yang diperoleh melalui observasi digital, dokumentasi data insight, serta analisis performa konten media sosial. Data dikumpulkan dari aktivitas pemasaran digital pada akun Instagram dan TikTok @kabita_nad selama periode satu bulan, kemudian dianalisis menggunakan teknik statistik deskriptif untuk melihat tren, nilai rata-rata, serta perbandingan kinerja antar platform media sosial. Solusi yang diterapkan meliputi penyusunan strategi konten terencana, peningkatan konsistensi unggahan, serta evaluasi performa konten berbasis data menggunakan platform analitik Metricool. Hasil penelitian menunjukkan adanya peningkatan signifikan pada jumlah tayangan video, peningkatan konsistensi unggahan, serta peningkatan kapasitas pengelola dalam memproduksi, mengelola, dan mengevaluasi konten media sosial secara lebih sistematis. Temuan ini menunjukkan bahwa pendekatan promosi digital berbasis analisis sistem informasi efektif dalam meningkatkan visibilitas, jangkauan, dan keterlibatan audiens UMKM. Penelitian ini merekomendasikan investasi pada perangkat pendukung, peningkatan literasi algoritma media sosial, serta kolaborasi dengan mikro-influencer lokal sebagai strategi lanjutan untuk mendukung keberlanjutan pemasaran digital UMKM.
Pengembangan Sistem Informasi Manajemen Usaha Mikro Kecil dan Menengah (UMKM) Seblak Reyhan Berbasis Web Arinal, Veri; Yel, Mesra Betty; Maulida, Aulia; Angel, Gadies; Putra, Adaffi Aditya
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5816

Abstract

Teknologi informasi memiliki peran strategis dalam meningkatkan efisiensi operasional dan ketepatan pengelolaan data pada Usaha Mikro, Kecil, dan Menengah (UMKM). Namun, pada praktiknya masih banyak UMKM yang menjalankan proses bisnis secara manual, termasuk dalam pencatatan transaksi penjualan, pengelolaan stok, dan penyusunan laporan. UMKM Seblak Reyhan merupakan usaha kuliner yang dikelola secara keluarga di Jakarta Timur dan masih menggunakan metode pencatatan manual, sehingga data penjualan belum terdokumentasi secara terstruktur, sulit ditelusuri, serta berpotensi menimbulkan kesalahan dan keterlambatan informasi. Penelitian ini bertujuan untuk mengembangkan sistem informasi manajemen penjualan berbasis web yang dapat membantu UMKM Seblak Reyhan dalam mengelola data operasional secara terintegrasi dan efisien. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan pendekatan studi kasus melalui observasi langsung, wawancara dengan pemilik usaha, serta analisis dokumen pencatatan penjualan. Pengembangan sistem dilakukan menggunakan metode Waterfall dengan pemanfaatan framework Laravel dan basis data terpusat. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mempermudah proses transaksi penjualan, pengelolaan stok, serta penyusunan laporan penjualan secara terstruktur dan real time. Selain itu, sistem ini dapat mengurangi risiko kehilangan data dan meningkatkan efektivitas kerja kasir. Fitur receipt sebagai bukti transaksi juga memberikan nilai tambah dalam meningkatkan profesionalitas pelayanan dan kepercayaan pelanggan. Sistem informasi yang dikembangkan diharapkan dapat menjadi solusi digital yang aplikatif dan berkelanjutan bagi UMKM sejenis dalam mendukung pengelolaan usaha di era digital.
Co-Authors ., Novriyenni A&#039;allya Nabilla Abdulloh Abror Khanif Adicandra, M. Dicky Adityo Purwo Nugroho Adjie Wongso Moerdyanto Adnan Wahab Adzani, Adinda Mutiara Agus Tanti Rahayu Ahluna, Faza Ahmad Bustomi Zuhari Ahmad Bustomi Zuhari Ahmad Saepudin Ahmad Syahran Zidane Akbar, Yuma Alaqsha Gilang Imantara Aldi Sitohang Almazar, Nufaisa Aloisius Awang Hariman Alwanto, Hilmi Amat Solihin Amelia, Ika Angel, Gadies Apriyanus Laia Ari Ramadhan Ari Sandi Fadhilah Arinal, Veri Aris Sufriman Aryanti, Putri Gea Aulia Maulida Axel Rajaliu Chaniago Azzizah, Putri Salfa Dhiyaa A’allya Nabilla B, Muhamad Hasbi Toharudin Bachrul Ulum Fajar Arrafi Bobby Arvian James Buaton, Relita Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Desilia Silvida Devara Isbani Yusuf Dewi Riyanti Wibowo Dewi Sartika Br Ginting Dwi Swasono Rachmad Eddy Purwandono Edhy Poerwandono Eka Maheswara Elmira Rafa Putri Elviwani Elviwani Eri Novitasari Eva Widiyanti F, Joe Renaldy Fadhil Khanifan Achmad Fadiliah, M. Ilyan Fadlurohman Zaki Rifa’i Fallah, Ahlan Nur Fauzan Azima Febrianti, Syafira Fernanda Adhipramana Ferry Fajar Pratama Franido, Richard Frencis Matheos Serimole Fuzy Manik Gabriel Alezhandro Pakpahan Hayu Fadilatin Heny Nengsih Herdiyansyah herdi Hartanto Herlina Ade Saputri I Komang Dewa Ananda Putra Ibnazia Darnov Ikhwanul Kurnia Rahman Indah Wahyuni Irma Nur Najwa Jodi Juliansah Joey Abdiner Parlindungan Hutabarat Kastum Kastum Kiki Setiawan Kiki Setiawan Lailany, Afyra Ar’bah Mahyuddin K. M Nasution Mainia Mayasari Marsa Rifqa Marsan, Alvin Cahya Pratama Masaranto Laia Maulida, Aulia Miftahul Huda Mohammad Farhan Muhamad Fawaz Kamali Muhamad Ikbal Muhammad Dzaky Rahmanto Muhammad Fadlan Muhammad Faizal Lazuardi Muhammad Ikhsan Hakim Muhammad Rafli Fadillah Muhammad Syahrul Fattah Ramadhan Muhammad Umar Hafidz Mulya, Citra Pricylia Ananda Mutia Ramadhan Nandang Sutisna Nandang Sutisna Nandini Ladivina Sari Nesti Lutfianti Nova Dahliyanti Nova Dahliyanti Nova Mahendra Nugroho, Agung Yuliyanto Nur Aswan Multazam Nurfaishal, Muhammad Dzaky Nurhidayanti, Dian Nurjanah Nurjanah Nurul Khoiriyah Oka Prasetiyo Okta Saputra Oky Tria Saputra7 Opi Irawansah Prasetyo, Aji Dwi Putra, Adaffi Aditya Putri S, Dhiyah Labibah Nauli Rafi Bowo Raharjo Rafi Bowo Raharjo Rahmanto, Muhammad Dzaky Rasiban Rasiban Rasiban Regita, Anggit Nur Hannaa Rekardius Tafonao Richard Franido Ridho Arif Hidayat Ridho Arif Hidayat Rifai, Hanna Sabilla Rizkia Rachma Rodhiyah Romi Naufal Salam Ropindo Pelix Pane Rosiana, Grace Lolita Ryan Rivaldo Sahrul Hidayat Saidah, Andi Saifullah, Shoffan Salsabila Listania Iqhlima Salsabila Salsabila Sari Agustia Ningtyas Sarimole, Frencis Matheos Satria Wira Yudha Septiansyah, Ade Setiawan, Kiki Sfenrianto Sfenrianto Sfenrianto, Sfenrianto Shofy Kamila El Fajriah Siahaan, Rizkyrino Ronaldhino Simanungkalit, Giraldi Freddy Sinaga, Putri Cahyani Sopan Adrianto SOPAN ADRIANTO Sri Lestari Sri Lestari Sri Lestari Sugiono Sugiono Sugiyono Sugiyono Sugiyono Sugiyono Sutisna Sutisna Sutisna Sutisna T.Henny Febriana Harumy Tri Wahyudi Tri Wahyudi Tundo Tundo Tundo, Tundo Untung Surapati Untung Wahyudi Wahyu Hidayat Wewisman Tafonao Wijayanto, Willy Willy Wijayanto Wuri Nur Aini Yusi Gunawan Yusuf, Musalim Zaeny Miftah Ziyad Fernanda Syams Zulfikar Yusya Mubarak