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All Journal Jurnal Empirika JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Journal of Information System, Applied, Management, Accounting and Research Jurnal Inti Talafa : Jurnal Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Ilmiah Intech : Information Technology Journal of UMUS Jurnal Teknologi Informatika dan Komputer Journal Automation Computer Information System (JACIS) Brilliance: Research of Artificial Intelligence International Journal Software Engineering and Computer Science (IJSECS) Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Jurnal Minfo Polgan (JMP) Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Mandiri Innovative: Journal Of Social Science Research Jurnal Lentera Pengabdian Science and Education Journal International Journal of Applied Research and Sustainable Sciences (IJARSS) Jurnal Inspirasi Peternakan Proceeding International Pelita Bangsa VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian Neraca Manajemen, Akuntansi, dan Ekonomi SAINTEK Jurnal Ilmiah Informatika dan Komputer International Journal of Integrated Science and Technology Jurnal Ilmiah Kesehatan Pernus
Andri Firmansyah
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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PREDIKSI HARGA LOGAM MULIA DENGAN PENDEKATAN ALGORITHMA NAÏVE BAYES DAN PSO Sri Indriyani; Muhamad Fatchan; Andri Firmansyah
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 1 (2023): EDISI 15
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i1.2230

Abstract

Gold is a yellow precious metal that is malleable and can be formed with high value. Gold is an exchange rate that was used in ancient times before money existed as it is today. Gold can also be used as a gold investment which can be profitable and has little risk. Currently, gold is divided into two types, namely gold for jewelry and gold for investment. Investing in gold is investing in gold stocks or gold futures. Naive Bayes Algorithm The Bayesian classifier is a statistical classifier and is based on Bayes' theorem. From the test results, the sample data presented were 120 data, then the results of the gold data stated the level of accuracy, recall and precision naïve Bayes, the accuracy rate was 84.17%, Recall was 84.21% and Percision was 82.76%.  
Implementation of a Web-Based Raw Material Inventory Information System Using the Prototype Method: A Case Study at PT. XYD Susanto, Dede Agus; Firmansyah, Andri; Nawangsih, Ismasari
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2926

Abstract

PT. XYD is a manufacturing company in the automotive industry and serves as a key vendor for the Wuling car brand, producing parts for models such as Confero, Cortez, Almaz, Air Ev, and Alvez. As production volume and the complexity of managing raw materials have increased, PT. XYD faces challenges in maintaining the accuracy of inventory data, particularly in the warehouse. Errors in data entry can disrupt the production process, leading to delays in product delivery to customers. To address this issue, this study developed and implemented a web-based raw material inventory information system using the prototype method. This method was chosen for its ability to accelerate the development process through iterative improvements based on user feedback. The system was designed using Unified Modeling Language (UML) to illustrate the system’s model and structure. The implementation of this system aims to enhance efficiency and accuracy in managing inventory data, ultimately minimizing the risk of errors, increasing productivity, and ensuring smooth company operations. The results of the study demonstrate that the system successfully facilitates the digitalization of ordering and inventory reporting processes, reducing reliance on manual processes and improving the speed and accuracy of data processing at PT. XYD.
Sistem Informasi Sekolah Berbasis Web Menggunakan Metode Waterfall. Studi Kasus: SMPI Al-Hudri Walibrah Lestari Fauziah; Andri Firmansyah; Ahmad Aguswin
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 8 No. 1 (2024): Call for Paper: Volume 8 Nomor 1 Januari 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v8i1.13371

Abstract

Dalam era perkembangan teknologi informasi yang pesat, internet telah menjadi alat penting dalam mengakses informasi. Sekolah sebagai lembaga pendidikan juga mengandalkan internet untuk memudahkan distribusi informasi kepada guru, siswa, dan masyarakat. Namun, sekolah tidak hanya memanfaatkan internet, melainkan juga mengembangkan sistem informasi sekolah berbasis web. Sistem ini bertujuan untuk mengelola data sekolah secara lebih efisien, akurat, dan mudah diakses oleh pihak yang berkepentingan. Penggunaan teknologi komputer dan internet juga memainkan peran penting dalam pengelolaan data di perusahaan, lembaga, dan instansi lainnya. Website company profile menjadi salah satu cara untuk menyimpan dan menyebarkan informasi tentang perusahaan atau lembaga. Website ini memberikan kenyamanan, kecepatan, dan keamanan dalam menyampaikan informasi kepada klien atau partner kerja. Dalam bidang pendidikan, kemajuan teknologi dan penggunaan website sebagai alat komunikasi telah mempermudah proses promosi dan publikasi sekolah. Namun, masih ada sekolah yang menggunakan media cetak seperti brosur dan poster untuk menyebarkan informasi, yang kurang efektif dan rentan terbatas dalam jangkauan. Oleh karena itu, pengembangan sistem informasi sekolah berbasis web menjadi solusi untuk meningkatkan efektivitas dan efisiensi komunikasi informasi kepada masyarakat. Dalam konteks tersebut, penelitian ini akan mengembangkan sistem informasi sekolah berbasis web menggunakan metode Waterfall, dengan studi kasus pada SMPI Al-Hudri Walibrah.
Implementasi Text Mining Untuk Analisis Sentimen Masyarakat Terhadap Ulasan Aplikasi Digital Korlantas Polri pada Google Play Store Kamelia Cindy Astuti; Andri Firmansyah; Riyadi, Agus
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 8 No. 1 (2024): Call for Paper: Volume 8 Nomor 1 Januari 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v8i1.13421

Abstract

Aplikasi Digital Korlantas Polri merupakan sebuah aplikasi resmi yang digagas oleh Korlantas Polri Indonesia yang bertujuan untuk memudahkan masyarakat Indonesia untuk mendapatkan layanan di Korlantas, salah satunya adalah untuk pembuatan dan perpanjangan SIM (Surat Izin Mengemudi). Pada aplikasi Digital Korlantas Polri terdapat berbagai macam ulasan atau review para pengguna mengenai kinerja aplikasi tersebut yang disertai dengan rating (score) yang beragam dari ulasan yang terdapat pada Google Play Store. Banyaknya komentar masyarakat dalam menilai aplikasi tersebut menjadi acuan penulis dalam melakukan analisis sentimen. Analisis sentimen ini dilakukan untuk mengetahui sentimen positif maupun sentimen negatif. Pada penelitian ini dilakukan analisis sentimen dengan mengimplementasikan text mining dan pengujiannya menggunakan metode klasifikasi dari Algoritma Naïve Bayes. Dataset yang digunakan pada penelitian ini menggunakan hasil Scraping dengan menggunakan Google Colab yang berjumlah 5000 data, yang diambil dengan teknik Web Scraping, dimana data yang diambil adalah data yang paling relevan. Dari data tersebut, dilakukan pembagian data.yaitu data Training 80% dan data Testing 20%. Data yang akan dilakukan dalam pengujian adalah data Testing dimana data tersebut telah dilakukan preprocessing data dan diperoleh sebanyak 890 data. Hasil pengujian pada penelitian ini menggunakan perhitungan Confusion Matrix dan diperolah hasil nilai accuracy sebesar 88%, precision 88%, recall 91%, dan F1-Score sebesar 90%.
PEMANFAATAN PELLET KULIT JENGKOL (Pithecellobium Lobatum Benth) DALAM RANSUM DAN TERHADAP EFISIENSI PAKAN DAN INCOM OVER FEED COST TERNAK DOMBA Firmansyah, Andri; Rita, Wismalinda; Nurhaita
Jurnal Inspirasi Peternakan Vol. 4 No. 1 (2024): Jurnal Inspirasi Peternakan
Publisher : Fakultas Pertanian dan Peternakan Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jinak.v4i1.6257

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh pemanfaatan pellet kulit jengkol terhadap efisiensi pakan dan Income Over Feed Cost (IOFC) pada ternak Domba. Analisa data ini menggunakan Rancangan Acak Kelompok (RAK) dengan 3 perlakuan dan 5 kelompok ulangan /Perlakuan yang di uji adalah perlakuan P1 (kontrol), perlakuan P2 penambahan kulit jengkol 15%, perlakuan P3 penambahan kulit jengkol 22,5%. Digunakan 15 ekor ternak domba Parameter yang di ukur yaitu Efisiensi pakan dan IOFC. Penelitian ini dilaksanakan di Laboratorium lapang Institut pertanian Bogor (IPB) dari bulan Mei sampai juni 2019. Penelitian memperlihatkan pengaruh pemberian pelet kulit jengkol (Pithecellbium lobatum Benth) sebagai pakan Domba tidak mempengaruhi efisiensi pakan. penambahan pellet kulit jengkol sampai 22,5 % sedangkan kandungan konsumsi ransum yang berbeda tidak memberikan pengaruh yang nyata terhadap Income Over Feed Cost karena kulit jengkol mengandung tanin dan saponin apabila diberikan dalam level tinggi dapat merusak palatabilitas ternak karena kandungan tanin dan saponin dapat bersifat membuat rasa sepat (astringent property). Kata kunci: Pelet Kulit jengkol, Ransum, terhadap ternak domba.
Shielding the Digital Realm with K-Nearest Neighbors in Network Security Firmansyah, Andri; Sasongko, Ananto Tri
Proceeding International Pelita Bangsa Vol. 1 No. 01 (2023): September 2023
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Network security is a paramount concern in today's digitally interconnected world. The constant evolution of cyber threats necessitates innovative approaches to safeguarding the digital realm. This paper explores the application of K-Nearest Neighbors (K-NN) in network security, offering a shield against intrusions and vulnerabilities. The research begins with a comprehensive introduction to the escalating landscape of network security challenges, highlighting the critical role of intrusion detection. K-NN, renowned for its pattern recognition capabilities, is a promising solution to fortify network defenses. The methodological journey involves data collection and preprocessing, where relevant datasets are curated and prepared for analysis. Subsequently, a K-NN model is meticulously crafted, focusing on parameter tuning and optimal K-value selection. Metrics, including accuracy, precision, recall, and F1-score, are employed to assess its performance. The findings provide insights into the model's strengths and limitations, offering a valuable perspective on its suitability for real-world network protection. This research demonstrates the potential of K-Nearest Neighbors in shielding the digital realm, reinforcing network security, and exemplifying the efficacy of machine learning in countering evolving cyber threats. It underscores the significance of proactive measures in preserving the integrity and confidentiality of digital assets in an increasingly interconnected world.
Implementasi Sistem Informasi Pedidikan dan Latihan (SIDIKLAT) pada Instalasi Diklat RSUD dr. Chasbullah Abdulmadjid Kota Bekasi Sanudin; Hadikristanto, Wahyu; Firmansyah, Andri; Edora; Purwanto
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 2 No. 2 (2024): Desember 2024
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v2i2.89

Abstract

This training activity was conducted to enhance the capacity of the staff at the Education and Training Unit (Diklat) of RSUD dr. Chasbullah Abdulmadjid, Kota Bekasi, in operating and implementing the Education and Training Information System (SIDIKLAT). The training was designed to provide an in-depth understanding of the features and functions of SIDIKLAT that support the management of education and training at the hospital. The methods used included presentations, live demonstrations, and system simulations by the participants. During the training, participants were actively engaged in each session to ensure optimal technical and operational mastery. Evaluations showed that the training successfully improved the participants' competence in using SIDIKLAT and increased awareness of the importance of technology integration in education and training management. It is expected that after this training, the Diklat staff will effectively implement SIDIKLAT in their daily activities, thereby supporting the improvement of the quality and efficiency of education and training services at RSUD dr. Chasbullah Abdulmadjid.
PENGEMBANGAN JIWA KEWIRAUSAHAAN DALAM MENGUKUNG KEMAMPUAN DAYA KERJA BERSAMA UNIVERSITAS NEGERI JAKARTA Andri Firmansyah; Baharuddin, Baharuddin
Musytari : Neraca Manajemen, Akuntansi, dan Ekonomi Vol. 4 No. 11 (2024): Musytari : Neraca Manajemen, Akuntansi, dan Ekonomi
Publisher : Cahaya Ilmu Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.8734/musytari.v4i11.2833

Abstract

Perkembangan dan akselerasi teknologi, informasi dan bisnis saat ini dan di masa depan yang sangat cepat, disruptif, penuh persaingan dan berbagai perubahan berkelanjutan menuntut disiapkannya sumber daya manusia masa depan yang benar-benar berkualitas dan berdaya saing tinggi. Pengangguran yang terdidik di Indonesia tercatat sejumlah 1.120.128 orang, bahwa 235.359 orang dari jumlah tersebut merupakan lulusan Perguruan Tinggi Vokasi dan 884.769 pada tahun 2022. Kebijakan Merdeka Belajar Kampus Merdeka (MBKM) khususnya Wirausaha Merdeka (WMK) akan membantu mahasiswa untuk pengembangan diri menjadi calon entrepreneur. Kegiatan wirausaha merdeka bersama Universitas Negeri Jakarta dengan program wira wiri UNJ berupa beberapa jenis mentoring, talk show dan demo day untuk meningkatkan jiwa wirausaha yang melatih ide dan kreatifitas dalam mengembangkan bisnis. Keberhasilan kegiatan ini ditandai dengan sukses dan berjalannya seluruh kegiatan program yang terlaksana.
The Sentiment Analysis of Bekasi Floods Using SVM and Naive Bayes with Advanced Feature Selection Amali, Amali; Maulana, Donny; Widodo, Edy; Firmansyah, Andri; Danny, Muhtajuddin
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4268

Abstract

Flood management in Bekasi City poses significant challenges, necessitating strategies grounded in an understanding of community sentiment. This study aims to develop and optimize sentiment analysis of social media data related to flooding using Support Vector Machine (SVM) and advanced feature selection techniques. The primary goal is to enhance the accuracy of classifying public sentiment toward flood management efforts in Bekasi City. Data is collected from various social media platforms, preprocessed, and analyzed using SVM with feature selection techniques like Information Gain and Analysis of Variance (ANOVA). (Thoriq et al., 2023) Our findings indicate that using SVM with advanced feature selection significantly improves sentiment classification accuracy compared to standard methods. These results offer insights into public perceptions, helping policymakers improve management strategies and communication for flood events. This method assists in understanding community responses and pinpointing critical areas needing attention. Moreover, this study contributes to disaster management in urban flood-prone areas by presenting a methodological approach applicable to other disaster contexts. Integrating social media sentiment analysis with advanced machine learning techniques offers a robust framework for real-time public sentiment assessment, enhancing disaster response strategies. Furthermore, these techniques help create a more resilient urban environment by improving the efficiency and effectiveness of flood management practices. This comprehensive tool is essential for better preparedness, response, and recovery from flood events, ultimately enhancing community resilience and safety in Bekasi City. This research is part of machine learning in disaster management and a valuable asset for city planners and disaster professionals around the world.
UPAYA MENGURANGI NYERI ASAM URAT PADA LANSIA MELALUI OBAT TRADISIONAL INDONESIA: TINJAUAN PUSTAKA Andini, Vira; Neng Diah Ratnasari; Andri Firmansyah; Teguh Panca Arianto; Ricko Dwi Hariyanto
Jurnal Ilmiah Kesehatan Pernus Vol. 2 No. 2 (2024): Volume 2 No. 2 Tahun 2024
Publisher : STIKES Permata Nusantara Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Introduction: Gout, or gout, is a form of arthritis characterized by deep joint inflammation, often in the big toe, caused by the accumulation of uric acid crystals. Factors that cause high uric acid levels include a diet rich in purines, excessive alcohol consumption, metabolic disorders, and genetic factors. Factors that cause gout include an unhealthy diet, a sedentary lifestyle, and genetic factors. Factors that cause high uric acid levels include a diet rich in purines, excessive alcohol consumption, metabolic disorders, and genetic factors. Objective: To treat gout pain in the elderly with traditional medicine. Methods: The research literature used in this study contains selected articles related to efforts to reduce gout pain experienced by the elderly using conventional Indonesian medicine
Co-Authors Abdul Rohman Agung Nugroho Agus Riyadi Ahmad Aguswin Alya Putri, Indi Amali, Amali andini, vira Andrian Andrian Andriani Andriani Ardiansyah, Fitrah Rizki Baharuddin Baharuddin Darmawan, Indra Dimas Ardi Pratama Donny Maulana Edi Junianto Edora Edora Edora Edora, Edora Edri Fauzan Edy Widodo Edy Widodo Eriswandi Eriswandi Faisal Arya Yudanto Fajrul Hamam Fatchan Fatchan Fauziah , Sifa Feri Ramadhani Feri Ramdhani Feri Ramdhani Fuji Heriyanto Handayani, Fitri Ayu Hasan Bishri Indradewa, Rhian Irfan Afrianto Kamelia Cindy Astuti Kostaman Lestari Fauziah Maulana, Donny Muhamad Fatchan Muhammad Dicky Chandra Muhammad Fatchan Muhammad Fatchan Muhibun Muhibun Muhtajuddin Danny Nawangsih, Ismasari Neng Diah Ratnasari Njai Njai Novi Sri Yuliani Nurhaita Nurhaita Pengestu, Rayendra Penggalih Mahardika Herlambang Purnama Sakhrial Purwanto Putri, Rizqa Febriliany Rasmiati Nur Aeni Recha Irfan Trijianto Retno Purwani Setyaningrum Ricko Dwi Hariyanto Rita, Wismalinda Rosida, Ema Sanudin Sanudin Sanudin Sasongko, Ananto Tri Shinta Mawarni Sovia Yunanda Sri Indriyani Sugeng Santoso Suherman Susanto, Dede Agus Sutrisno Aji Prasetyo Taufik Arifiyanto Teguh Panca Arianto Tri Ngudi Wiyatno Tri Wahyuni Triana Rahmawati Wahyu Hadikristanto Wiyanto Wiyanto