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All Journal JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Informasi dan Teknologi Industry Xplore Bulletin of Information Technology (BIT) Jurnal Minfo Polgan (JMP) Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Pengabdian Pelitabangsa Journal Research of Social Science, Economics, and Management Jurnal Ilmiah Multidisiplin Indonesia VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian SAINTEK
Asep Arwan Sulaeman
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Implementasi Convolutional Neural Network Untuk Klasifikasi Covid-19 Asep Arwan Sulaeman; Andy Susilo
Jurnal SIGMA Vol 13 No 2 (2022): Juni 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Covid-19 is a disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCo2). Covid-19 is a respiratory disease ranging from mild symptoms such as influenza to lungs such as pneumonia. Some scientists conducted research on Covid-19 by transferring knowledge to computers making this research more precise. One of them is the application of machine learning with deep learning methods. This can be done by building artificial intelligence using a simple Convolutional Neural Networks (CNN) algorithm to detect lungs x-ray exposed to Covid-19. The results of data testing can predict the image of the lungs that have been processed to obtain lung predictions in Covid-19 patients. The results show that the Convolutional Neural Network algorithm can produce an accuracy value of 95% for the Covid-19 prediction model with 50 epochs and 94% with 75 epochs. Keywords: Covid-19, machine learning, deep learning, convolutional neural network Algorithm.
Penerapan Metode Vak Pada Game Edukasi Mengenal Huruf Hijaiyah Dengan Algoritma Fisher Yates Berbasis Android Asep Arwan; Yuliano Reismanda
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Religious knowledge, especially hijaiyah for children, is very important as a rovision for the basis of their lives in facing life in the future. One of the benefits of the game is that it can be a medium of learning for children. In order for educational games to be more interesting when played, the authors apply one of the methods of developing the Multimedia Development Live Cycle (MDLC) which includes the concept, design, material collecting, assembly, testing and distribution stages. From the test results using black box, the system in the application works as expected. In this research, a problem is formulated on how to implement the Fisher Yates algorithm. The results of the questionnaire from 10 respondents stated that 92% agreed with the problems that had been described. As a solution to this problem, it is proposed to design an educational game "Knowing Hijaiyah Letters" to help foster children's interest in learning to recognize Hijaiyah letters with fun learning media. The use of multimedia-based educational programs that combine digital sound. In this study, the development of interactive learning media using the Visual Auditory Kinesthetic (VAK) learning approach was carried out. With this approach children can learn with the senses of sight, hearing, and movement. Keywords: Learning Media, Educational Games, Hijaiyah Letters, 2D Games
PENGGUNAAN MATERIAL LOGAM DI BERBAGAI INDUSTRI MANUFAKTUR INDONESIA: SISTEMATIK KAJIAN LITERATUR Hibarkah Kurnia; Sudarmono; Alvia Dwi Wahyuni; Nurmala Adistyani; Asep Arwan Sulaeman
Industry Xplore Vol 8 No 1 (2023): Industry Xplore
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/teknikindustri.v8i1.5098

Abstract

Material processing techniques in the manufacturing industry in Indonesia are more dominant in using metal applications as the main raw material in product design in the form of machines. The use of metal materials needs to be studied because before they are used in the industry, their designation must be known first so that these materials can be optimized in their use. The process of processing metal materials must pay attention to their type and properties in advance, especially in the process of forming and behavior during use. So that in its application it can be following the specifications of raw materials in a product that is produced. This study aims to find out and identify how important the role of metal materials is in their application in the world of the Indonesian manufacturing industry. This research method uses a systematic literature review method by collecting 20 articles related to the use of metal materials in various manufacturing industries from several national journals on the Google Scholar database. This research found several dominant articles published in 2020 and focused on the alloy casting industry. The results obtained from the collected data are that the use of metal materials plays an important role in the manufacturing industry in Indonesia. Metal materials are still very much needed as one of the main raw materials in the manufacturing industry because these materials have unique properties that non-metallic materials do not have
Analisa Prediksi Hasil Produksi Popok Bayi Metode Naïve Bayes Edy Widodo; Sifa Fauziah; Asep Arwan Sulaeman
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.504

Abstract

PT. Elleair Interantional Manufacturing Indonesia is a company engaged in the field of manufacturing baby diapers. With the increasing market demand causing an increase in the production process, what is often experienced is that there is often a lack of finish good product to meet consumer de mand due to delays in the production process. To make it easier for companies to look for factors that can increase production result, the authors coduct research with data mining using the naïve bayes method. In this study the training data and testing data were tested using the RapidMiner application with the naïve bayes algorithm where the tested data were 500 data. Testing is done by calculating the value of precision, recall, AUC dan accuracy using the RapidMiner Application and using Microsoft Excel and calculating the final probability of each class to calculate predictions of product result. With the naïve bayes method we can calculate predictions of production result based on data from the previus year as training data to anticipate shortages in production due to factors that can hider the production process. From the results of the analysis obtained factors that affect production result, namely, the number of materia used for the production of 318 data. The human error factor with the category of “No” as much as 305 data also influences because the less the occurrence of human error the production results are also high. Stop delivery factor with the category “No” as many as 299 data, with fewer cases of stop delivery, the more finish good product that can be sold
ANALISIS SENTIMEN MASYARAKAT INDONESIA TERHADAP KASUS PERSETERUAN YAI MIM DAN SAHARA DI TIKTOK MENGGUNAKAN ALGORITMA NAIVE BAYES Darryl Yanuar Ar-rafi; Asep Arwan Sulaeman; Handala Simetris Harahap
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.48841

Abstract

This study aims to analyze public sentiment toward the conflict case between Yai Mim and Sahara, which went viral on the TikTok platform. The data used in this study were TikTok user comments collected using Apify Instant Data Scraper, with a total of 10,504 comments. The research stages included data preprocessing (cleaning, normalization, tokenization, stopword removal, and stemming), sentiment labeling using a lexicon-based approach, feature weighting using the Term Frequency–Inverse Document Frequency (TF-IDF) method, and classification using the Naïve Bayes algorithm. As a comparison model, this study also implemented the Neural Network algorithm to compare classification performance. Model testing was conducted using four data split scenarios: 90:10, 80:20, 70:30, and 60:40 for training and testing data. The results showed that the Naïve Bayes model achieved the highest accuracy of 94.85% in the 90:10 scenario. Meanwhile, the Neural Network model demonstrated better performance with the highest accuracy of 96.49% in the 80:20 scenario. Based on these results, the 80:20 scenario was selected as the main reference because it provides a better balance in model evaluation. Overall, the combination of TF-IDF, Naïve Bayes, and Neural Network methods proved effective in classifying Indonesian sentiment comments on TikTok social media, with Neural Network showing more optimal performance compared to Naïve Bayes.
Sistem Pendukung Keputusan Menentukan Siswa Bermasalah Berbasis Web Dengan Metode TOPSIS Dan WASPAS Rahman Hakim; Asep Arwan Sulaeman; Irfan Afriantoro
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13933

Abstract

bermasalah merupakan salah satu faktor yang mempengaruhi kenyamanan proses belajar mengajar disuatu lingkungan sekolah, khususnya pada sekolah SMP Negeri 1 Pedes. Pengolahan data siswa bermasalah yang sedang berjalan saat ini masih bersifat manual. Selain itu pihak sekolah juga sering kesulitan dalam menentukan siswa-siswi yang bermasalah, dikarenakan banyaknya pelanggaran siswa-siswi yang sering terjadi. Dalam penelitian ini penulis menggunakan 5 kriteria yang paling memperngaruhi kualitas belajar mengajar disekolah. Dalam setiap kriteria memiliki bobot yang menggambarkan seberapa penting kriteria tersebut dibandingkan dengan kriteria yang lain. Pembobotan ini digunakan untuk menilai setiap altenatif agar memperoleh nilai terbaik. Hasil terbaik yang diperoleh, yaitu untuk metode TOPSIS dengan nilai terbaik 0.44, sedangkan untuk metode WASPAS yaitu 0.58. Oleh sebab itu, untuk menentukan keputusan siswa bermasalah pihak sekolah memerlukan sistem pendukung keputusan yang menyediakan kemampuan untuk menyelesaikan masalah yang cepat, tepat dan akurat. Dari kebutuhan tersebut maka dibuatlah Aplikasi Sistem Pendukung Keputusan Menentukan Siswa Bermasalah berbasis web Pada Sekolah SMP Negeri 1 Pedes. Kata
Improving Retail Operational Efficiency Through an Intuitive Web-Based Point of Sales Information System: A Case Study at Ternak Express Rinaldy Hudan Permana; Dendy K Pramudito; Asep Arwan Sulaeman
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.612

Abstract

The advancement of information technology has significantly impacted various sectors, including the fields of economics and business. One sector experiencing this transformation is livestock enterprises, such as Ternak Express, a business focused on providing animals as sacrificial (Qurban) and Aqiqah services. Currently, Ternak Express manages product and livestock data manually, a method that is prone to errors and can lead to data inconsistencies and potential financial losses for the business owner. To address this issue, this study aims to develop a web-based Point of Sale (POS) information system to support business operations more effectively and efficiently. The system is designed to manage sales transactions, product data, and customer information and generate business reports in a structured and automated manner. The development process uses the Laravel framework and applies the Waterfall model as the methodological approach. This research results in a web-accessible POS system that helps Ternak Express reduce data entry errors, streamline transaction processes, and improve the accuracy of business data management. With the implementation of this system, business operations are expected to become more integrated and professional, thereby supporting the company's growth and long-term development.
Design and Implementation of A Web-Based and or Code-Based Fire Extinguisher Management Information System: A Case Study at PT Botto Global Mandiri Fiqhy Faradisa Al Bina; Asep Arwan Sulaeman; Sophian Andhika Sardi
Journal Research of Social Science, Economics, and Management Vol. 5 No. 11 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i11.1566

Abstract

PT Botto Global Mandiri is a company engaged in fire safety systems with a focus on procurement, inspection, and management of Light Fire Extinguishers (APAR). The management of customer data, fire extinguishing data, and refill data that is still done manually using paper forms causes data inaccuracies, service delays, and difficulties in tracking fire extinguishing history. This research aims to analyze the conditions of fire extinguisher data management, design and build a web-based information system with QR Code integration, and implement and evaluate the system in improving fire extinguisher documentation. The research uses an applied research approach with the Waterfall development method which includes needs analysis, system design, implementation, and testing. Data collection was carried out through observation, interviews, and literature studies. The system is built using the PHP programming language and MySQL database and includes three interintegrated user modules, namely Admin, Customer, and Technician. The results of the study show that the system successfully integrates customer data management, generates a unique QR Code for each fire extinguisher unit, scheduling inspections, filling out digital inspection forms through QR Code scanning, report verification, and reporting to management in real-time. Testing with the Black Box Testing method shows that all features are valid according to the specifications of the needs. Thus, the application of web technology and QR Codes has been proven to increase data accuracy, inspection process efficiency, and ease of tracking fire extinguishing history at PT Botto Global Mandiri.
Web-Based Company Profile Information System Design for SD Negeri 2 Bugis Agung Priatin; Asep Arwan Sulaeman; Sifa Fauziah
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 07 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), 2026
Publisher : Sean Institute

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Abstract

The development of information and digital technology today has a significant impact on information dissemination and institutional image building, including in the field of education. SD Negeri 2 Bugis, as one of the public elementary schools, does not yet have a digital platform that can be used to introduce the school’s profile widely and professionally. To address this issue, this study aims to design a web-based company profile website that facilitates the dissemination of information related to the school’s profile, vision and mission, facilities, learning activities, and achievements of students and teachers. The website is designed with main features such as a school profile page, photo gallery, academic information, and an easily accessible contact page. The results show that the website successfully presents the school’s identity in a professional and interactive manner. With this website, SD Negeri 2 Bugis is expected to enhance its institutional image, improve information accessibility for the community, and reach prospective students more widely in the current digital era.
Pelatihan Pengelola Jurnal dan Pengkaji Naskah Karya Ilmiah Pada Jurnal Nasional Hibarkah Kurnia; Supardi Supardi; Arif Nuryono; Hendi Herlambang; Asep Arwan Sulaeman
Jurnal Pengabdian Pelitabangsa Vol. 6 No. 02 (2025): Jurnal Pengabdian Pelitabangsa - Oktober 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jabmas.v6i02.6466

Abstract

Era globalisasi ini menuntut pihak kampus dan pihak swasta diberikan kemudahan dalam pembuatan dan pengelolaan jurnal nasional melalui peran sebagai wadah dalam publikasi karya ilmiah. Namun dalam perjalanannya terdapat masalah yang muncul pada pembuatan jurnal diantaranya pengelola dan pengkaji tidak konsisten dan jumlah karya tulis yang menurun. Pengelolaan dan pengkajian karya ilmiah terkadang terbengkalai dalaam pengurusannya, dengan alasan kesibukan dan tidak ada waktu dalam pengendalian jurnal. Sementara untuk jumlah ilmiah yang masuk ke jurnal nasional terkadang kurang, hal ini disebabkan kaerena kurangnya perhatian dari kampus untuk memberikan ruang dalam mensosisalisasikan pentingnya karya ilmiah dalam akreditasi kampus. Pengabdian ini bertujuan untuk meningkatkan pengetahuan dan keterampilan pengelola dan pengkaji naskah dalam publikasi karya ilmiah, sehingga keberlanjutan program publikasi dapat diselesaikan dengan baik. Metode yang digunakan pada pengabdian ini berupa penyuluhan atau pendampingan pengelola dan pengkaji karya ilmiah pada jurnal Inspirasi Publisher untuk meningkatkan kualitas pelayanan jurnal. Pelatihan ini dilakukan secara pararel secara daring selama selama 2 bulan untuk sosialisasi dan pengenalan jurnal nasional. Pelatihan/workshop dilakukan secara daring dengan mengundang narasumber asosiasi dari mitra yayasan. Kelebihan pada pengabdian ini dihadiri oleh mitra yayasan dan berkolaborasi dengan dosen-dosen perwakilan dari Universitas di Bekasi. Kekurangan dari pengabdian ini terkendala waktu kesibukan para peserta yang notabene seorang dosen sehingga setiap pertemuan secara daring belum bisa kehadiran 100%. Kontribusi pengabdian ini diharapkan semua peserta sebagai Editor dan Reviewer dapat mengerti dalam pengelolaan jurnal yang baik sebagaimana tugas dan tanggung jawabnya.
Co-Authors Adi Rusdi Widya Agung Priatin Agus Suwarno Alvia Dwi Wahyuni Amat Damuri Andriani Andy Susilo Antika Zahrotul Kamalia Arif Nuryono, Arif Darryl Yanuar Ar-rafi Dendy K. Pramudito Dwi Indra Prasetya Edy Widodo Endrik Fiqhy Faradisa Al Bina Handala Simetris Harahap Hendi Herlambang Hibarkah Kurnia Hibarkah Kurnia Indra Prana Yuda Indri Lestari Irfan Afriantoro Muhtajuddin Danny Nawangsih, Ismasari Nida An Khofiyah Nurmala Adistyani Rachman Catur Kurniawan Rahman Hakim Rinaldy Hudan Permana Sifa Fauziah Sophian Andhika Sardi Sudarmono Supardi Supardi Tri Ngudi Wiyatno Yuliano Reismanda