Garuda - Garba Rujukan Digital

Transformasi Sistem Administrasi Masjid Miftahul Huda Blok E KSB Berbasis Website Effendi, Muhammad Makmun; Rifa’i, Anggi Muhammad; Arwan, Asep; Pradini, Purnama Sakhrial
Jurnal Pelita Pengabdian Vol. 2 No. 2 (2024): Juli 2024
Publisher : DPPM Universitas Pelita Bangsa

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Masjid merupakan tempat ibadah dan juga kegiataan keagamaan umat Islam, selain itu masjid juga kegiatan sosial. Salah satu masjid yang ada di desa Sukaragam kecamatan Serang Baru kabupaten Bekasi yang tepatnya di Perumahan KSB Blok E memiliki Masjid yang bernama Masjid Miftahul Huda, di dalam menjalankan sistem administrasi masih dengan metode tradisional yaitu menggunakan desktop komputer untuk pengelolaan keuangan dan ketika ada kegiatan keagaamaan masih menggunakan informasi melalui informasi di masjid ataupun di pasang di dinding masjid, sehingga dengan cara tersebut informasi tidak tersampaikan secara menyeluruh, hanya para jamaah yang hadir di masjid saja yang mengetahui kegiatan masjid dan laporan keuangan terkini. Untuk itu maka Masjid Miftahul Huda memerlukan sistem administrasi yang dapat diketahui oleh para jamaah secara luar dari sisi kegiatan keagamaan maupun juga laporan keuangan secara realtime dan juga untuk mencegah terjadinya korupsi keuangan ataupun untuk mengurangi prasangka yang tidak baik terhadap keuangan masjid. Untuk itulah dalam menghadapi era digitalisasi maka Masjid Miftahulhuda melakukan rancang bagun sistem administrasi dalam menghadapi era digitalisasi yaitu membuat rancang bangun sistem informasi masjid berbasis Web sehingga mempermudah jamaah mengetahui secara mudah setiap kegiatan keagamaan di masjid maupun data keuangan secara realtime yang juga didukung dengan database melalui metode Prototyping sehingga pengelolaan data masjid dan keuangan dapat lebih efisien, akurat dan terkoordinir dengan baik.

Implementasi Jaringan VoIP Uji Coba Pada Satpam di Perum KSB Desa Sukaragam Kecamatan Serang Baru Bekasi Effendi, Muhammad Makmun; Yunus, Imsal
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

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Perum KSB, Sukaragam Village, Serang Baru District, Bekasi, has security guards spread across several telecommunications security areas in Perum KSB, still using PABX (Private Automatic Brach Exchange). telephone technology where every analog telephone device in the room is connected using a cable to PABX device. This of course sometimes causes problems if used for a long period of time, starting from maintenance side and inaccessibility of mobility between security guards regarding this use analog telephone device. Therefore, modern technology is needed, namely using asterisk-based VoIP (Voice over Internet Protocol) technology designed and built using Ansible AWX (Ansible Web eXecutable) tool as a server to automate every process. Communication media for analog telephone devices will be replaced by using Zoiper software as a softphone that is installed on every security guard's smartphone device.

Sentiment Analysis of Oppenheimer Movie Reviews: Naïve Bayes Algorithm for Public Opinion Noviansyah, Berliana; Effendi, Muhammad Makmun; Achmad, Yudianto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4393

The development of information and communication technology has revolutionized the way people consume and engage with media, particularly in the realm of film. Online platforms such as Netflix, Amazon Prime Video, and YouTube have transformed movie consumption habits, providing a vast array of options for viewers to explore and enjoy. A crucial aspect of this digital landscape is the proliferation of movie reviews, which serve as valuable guides for users seeking to discover films aligned with their preferences. However, the abundance of reviews, often varying in quality and objectivity, necessitates tools capable of effectively processing and understanding these textual data. This research delves into sentiment classification of Oppenheimer movie reviews, utilizing the Naive Bayes algorithm to categorize reviews into positive, negative, and neutral sentiments. The dataset comprising audience reviews and numerical ratings undergoes preprocessing using the TF-IDF method to facilitate numerical representation. Subsequently, the Naïve Bayes algorithm is trained on this processed data to accurately classify sentiments. The model demonstrates exceptional performance, achieving an accuracy rate of 97.45% in distinguishing between positive, negative, and neutral sentiments within Oppenheimer movie reviews. This study underscores the efficacy of the Naive Bayes algorithm in sentiment classification and emphasizes the significance of employing techniques like TF-IDF for enhancing sentiment analysis in the domain of movie reviews.

Analisis Sentimen Media Sosial Twitter Terhadap Calon Presiden RI Tahun 2024 Menggunakan Klasifikasi Algoritma Naïve Bayes Effendi, Muhammad Makmun; Zy, Ahmad Turmudi; Arwan, Asep
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5210

The progress of social media is currently being felt by many Indonesian people, one of the social media that is often used is Twitter, which is a media for posting information. Currently the viral post is the election of Presidential Candidates (capres) of the Republic of Indonesia which will be held in 2024, in line with this, the General Election Commission (KPU) is holding a presidential candidate debate which will be held on various television media in Indonesia and from the results of this debate the Indonesian people usually give opinions or comments on the debate from the positive and negative sides of the presidential candidates who appeared at that time, namely Anis, Prabowo and Ganjar Pranowo. To find out the results of sentiment towards the presidential candidates, the researchers carried out an analysis using a classification of tweets containing public sentiment towards the 2024 presidential candidacy, namely Anis, Prabowo and Ganjar with the classification method used in this research is Naive Bayes Classification (NBC). Anies Baswedan dataset 61.35% of Twitter users have negative comments and 39.65% of Twitter users have positive comments, Ganjar Pranowo dataset 59.12% of Twitter users have negative comments and 41.88% of Twitter users have positive comments, Ganjar Prabowo Subianto dataset 49.25% Twitter users commented negatively and 51.75% of Twitter users commented positively. Comparing the results of the three presidential candidates, Anies Baswedan's accuracy value is smaller than the other two candidates because Anies Baswedan has more negative comments than the other two candidates. Anies Baswedan got an accuracy value of 67.23%, Prabowo Subianto 83.42% and Ganjar Pranowo 88.15%. The amount of data affects the results of sentiment analysis, the more data the better the accuracy value obtained.

Keluhan Aplikasi Keluhan Warga RT/RW Berbasis Mobile untuk Meningkatkan Partisipasi dan Responsivitas Layanan Masyaraka: Keluhan Warga secara digitalisasi Effendi, Muhammad Makmun
Jurnal Pelita Pengabdian Vol. 3 No. 2 (2025): Juli 2025
Publisher : DPPM Universitas Pelita Bangsa

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Di lingkungan RT/RW, partisipasi aktif warga sangat penting untuk meningkatkan kualitas layanan publik dan menjaga kenyamanan bersama. Namun, kendala dalam pelaporan keluhan seperti proses yang berbelit, keterlambatan respons, dan kurangnya transparansi sering kali membuat warga enggan menyampaikan keluhan. Untuk mengatasi masalah ini, dikembangkanlah aplikasi keluhan warga berbasis mobile yang memungkinkan warga untuk melaporkan permasalahan lingkungan secara cepat dan mudah.Aplikasi ini dirancang dengan fitur utama meliputi pelaporan keluhan, pemantauan status keluhan, komentar dan diskusi antarwarga, serta notifikasi pembaruan status oleh pengurus RT/RW. Setiap keluhan yang diajukan oleh warga akan dikategorikan sesuai jenisnya (seperti kebersihan, keamanan, dan fasilitas umum), sehingga pengurus RT/RW dapat merespons dengan tepat dan cepat. Dengan demikian, warga dapat memantau perkembangan keluhan mereka secara real-time hingga keluhan tersebut ditangani

Implementasi Steganografi Menggunakan Metode End of File (EOF) untuk Menyisipkan File Detail Drawing Engineering dalam Gambar Effendi, Muhammad Makmun; Sen , Tjong Wan; Zy, Ahmad Turmudi; Isarianto, Isarianto
Techno.Com Vol. 24 No. 3 (2025): Agustus 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i3.13227

Penelitian ini bertujuan mengembangkan sistem steganografi berbasis web dengan menerapkan pendekatan End of File (EOF) guna menyisipkan file PDF berisi detail gambar teknik ke dalam file citra digital (.jpg dan .png) pada skenario industri manufaktur. Perlindungan informasi teknis yang bersifat rahasia sangat esensial untuk mencegah akses tidak sah selama proses transmisi digital melalui berbagai kanal komunikasi. Pendekatan EOF memungkinkan penyisipan file secara tidak terlihat tanpa mengubah struktur asli media gambar, sehingga tidak menurunkan kualitas visual. Sistem dibangun dengan HTML, PHP, JavaScript, dan MySQL sebagai basis backend dan frontend. Pengujian mencakup validasi format file, performa proses enkripsi-dekripsi, serta efektivitas distribusi file melalui WhatsApp, email, dan media penyimpanan fisik. Hasilnya menunjukkan bahwa metode EOF berhasil menyisipkan dan mengekstrak file secara akurat, dengan mutu visual gambar yang tetap terjaga. Sistem yang dihasilkan terbukti dapat menjadi solusi proteksi data yang efektif, fleksibel, dan aplikatif bagi kebutuhan industri. Kata Kunci : steganografi; End of File; keamanan data; penyisipan file PDF; steganografi gambar

Sentiment Analysis of Oppenheimer Movie Reviews: Naïve Bayes Algorithm for Public Opinion Noviansyah, Berliana; Effendi, Muhammad Makmun; Achmad, Yudianto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4393

The development of information and communication technology has revolutionized the way people consume and engage with media, particularly in the realm of film. Online platforms such as Netflix, Amazon Prime Video, and YouTube have transformed movie consumption habits, providing a vast array of options for viewers to explore and enjoy. A crucial aspect of this digital landscape is the proliferation of movie reviews, which serve as valuable guides for users seeking to discover films aligned with their preferences. However, the abundance of reviews, often varying in quality and objectivity, necessitates tools capable of effectively processing and understanding these textual data. This research delves into sentiment classification of Oppenheimer movie reviews, utilizing the Naive Bayes algorithm to categorize reviews into positive, negative, and neutral sentiments. The dataset comprising audience reviews and numerical ratings undergoes preprocessing using the TF-IDF method to facilitate numerical representation. Subsequently, the Naïve Bayes algorithm is trained on this processed data to accurately classify sentiments. The model demonstrates exceptional performance, achieving an accuracy rate of 97.45% in distinguishing between positive, negative, and neutral sentiments within Oppenheimer movie reviews. This study underscores the efficacy of the Naive Bayes algorithm in sentiment classification and emphasizes the significance of employing techniques like TF-IDF for enhancing sentiment analysis in the domain of movie reviews.

Analysis Prediksi Wilayah Rawan Banjir dengan Algoritma K-Means Effendi, Muhammad Makmun; Inka, Inka; Siswandi, Arif
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4770

Along with the high amount of rainfall in Bekasi -West Java, floods have started to inundate several areas of Bekasi , one of the causes is the high rainfall factor. According to (Regional Disaster Management Agency) BPBD, the most flood points are in the Bekasi area, causing several activities of the surrounding community to be disrupted, transportation hampered, and also the emergence of disease problems such as skin diseases, diarrhea, and so on. The problem of flooding is a shared responsibility that requires a solution. also the role of technology to help facilitate the provision of information to the public regarding flood-prone areas in the Bekasi area. One technique that can be used is using the K-Means Clustering Algorithm to group flood-prone areas. The flood dataset was processed using the RapidMiner application, for the dataset taken to carry out this analysis from January to December 2022, there were 24 data from areas affected by flooding from various sub-districts and villages in the city of Bekasi. The results of the research produced 3 clusters, namely, the high flood, medium flood and low flood categories, which received a Davies Bouldin index value of -0.452.

Integrasi Programmable Logic Control Outseal Mega V.2 dengan NodeMCU ESP826 dengan menerapkan Internet of Things Effendi, Muhammad Makmun; Taufiq Khasanah; Nurhadi Sirojudin
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 13 No 1 (2023): January
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v13i1.3868

Kemajuan dan Perkembangan Teknologi yang sangat pesat, sehingga di dalam dunia industri memerlukan alat bantu yang lebih modern dan bekerja secara otomatisasi. Pada saat ini dunia industri terutama mesin injection dan mesin press stamping produksi sudah menggunakan PLC namun belum bekerja secara otomatisasi dan belum terintegrasi dengan Internet of Thing’s. Untuk mempermudah aktivitas produksi maka penulis membuat hardware untuk mesin industri otomatisasi berbasis PLC Outseal Mega V.2 sebagai alternatif mesin industri tersebut dengan metode pendekatan kualitatif. Hardware yang dibuat dengan menggunakan NodeMCU ESP8266 dan modbus RTU serial RS485 dan Arduino Nano dan Blynk diinstalasi secara terstruktur dengan mekanisme adalah NodeMCU ESP8266 terintegrasi dengan modbus RTU serial RS485, sedangkan PLC Outseal Mega V.2 Slim, Arduino Nano terhubung dan terintegrasi dengan modbus RTU serial RS485 dan untuk Blynk NodeMCU ESP8266 terintegrasi dengan wifi. Setelah dirangkai selanjutnya dilakukan pengujian dengan jarak 15 meter PLC outseal Mega V.2 dapat dikontrol Blynknya berbasis Android sehingga integrasi PLC outseal Mega V.2 dapat digunakan dan bekerja di mesin injection maupu mesin pres stamping dapat bekerja secara otomatisasi.

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