Article Per Year (5 Year)
p-Index From 2019 - 2024
7.358
P-Index
This Author published in this journals
All Journal Jurnal Pseudocode SMATIKA Jurnal Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal SOLMA Prosiding Seminar Nasional Teknoka Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Linguistik Komputasional Jurnal ICT : Information Communication & Technology FIKROH: JURNAL PEMIKIRAN DAN PENDIDIKAN ISLAM Zonasi: Jurnal Sistem Informasi Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) KLIK: Kajian Ilmiah Informatika dan Komputer Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan SmartComp Fikroh: Jurnal Pemikiran dan Pendidikan Islam JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Firman Noor Hasan
Universitas Muhammadiyah Prof. Dr. Hamka
Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 55 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 55 Documents
Search

 2   3   4   5   6 
Perancangan Sistem Inventory Spare Part Elektronik Berbasis Web Application (Studi Kasus: Maspion Service Center) Luqman Abdur Rahman Malik; Rizki Kamelia; Firman Noor Hasan
Jurnal Teknik Informatika dan Komputer Vol. 2 No. 1 (2023): Jurnal Teknik Informatika dan Komputer
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v2i1.11167

Abstract

This study aims to simplify and speed up the making of spare part stock reports at the Maspion Service Center and to avoid the risk of data recording errors that occur during spare part stock data collection. The method used in this research is the waterfall method. The researcher aims to design a spare part stock inventory system at the Maspion Service Center in order to simplify and speed up the making of spare part stock reports at the Maspion Service Center without recording in the ledger. The testing method used by the researcher is the Blackbox testing method. The results obtained in the design of this system are proven to be able to avoid the risk of data recording errors that occur during data collection of spare part stock, with the existence of a spare part stock database that is not possible with the same type of spare part twice
Perbandingan Akurasi Metode Naïve Bayes Classifier dan Lexicon Based Pada Analisis Sentimen Respon Masyarakat Tentang Kebijakan Kenaikan Harga Minyak Goreng Faldy Irwiensyah; Firman Noor Hasan
Jurnal Teknik Informatika dan Komputer Vol. 2 No. 1 (2023): Jurnal Teknik Informatika dan Komputer
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v2i1.11500

Abstract

Cooking oil is a basic need for Indonesian people. Indonesia experienced a shortage of oil in March 2022. This was a hot topic of discussion on social media Twitter last March, many people thought positively or negatively. However behind it all, there are differences in the assessment of parties who feel the pros and cons, various parties have different points of view. In this article, we conduct a sentiment analysis of public responses regarding the scarcity of cooking oil using a dataset obtained from the Twitter digital platform. This article aims to classify tweets related to the scarcity of cooking oil into positive and negative sentiments using a machine learning strategy with the Naive  Bayes and lexicon based methods. This algorithm was chosen to make it easier for interested users to compare methods and find out how accurate it is, which is where the level of accuracy obtained from the lexicon method is 42% and the method using the naïve Bayes classifier is 72%. Shows the results of the analysis related to the scarcity of cooking oil for the highest level of accuracy, namely the method that uses the naïve Bayes classifier compared to the method that uses lexicon based
Analisis Sentimen Pengguna Aplikasi CapCut Pada Ulasan di Play Store Menggunakan Metode Naïve Bayes Meliyawati; Firman Noor Hasan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1555

Abstract

There is an increasing interest in sharing experiences displayed in video visualizations, creating a demand for efficient and simple editing tools. CapCut is an all-in-one creative digital platform that enables video editing on browser, desktop and mobile. The CapCut app is one of the most downloaded apps on the Play Store with 500 million downloads and is available for free. CapCut app is perfect for beginner editors as it has a simple interface with various interesting features such as templates that are easy to operate without the need for additional software. However, this cannot guarantee the satisfaction of its users. Various experiences that are felt affect the assessment given by users. Sentiment analysis is important to determine the level of user satisfaction, the results of which can be used as a reference for improving the quality of the application. To find out user reviews of the CapCut application, sentiment analysis is carried out using the Naïve Bayes method with the aim of knowing the number of positive and negative sentiments from user reviews. The data used is taken from the review column available on the Play Store using web scrapping techniques with the help of Google Colab as much as 880 user review data. The data is divided into 60% training data which is 528 reviews and 40% test data which is 352 reviews. The analysis resulted in 30 more negative sentiments than positive sentiments with the number of negative sentiments totaling 455 reviews and the number of positive sentiments totaling 425 reviews. Based on the evaluation using confusion matrix, the accuracy result is 84.09%, precision is 91.91%, and recall is 73.53%.
Analisis Sentimen Terhadap KPU 2024 Berdasarkan Tweet Media Sosial Twitter Menggunakan Algoritma Naïve Bayes Dion Parisda Ray; Firman Noor Hasan; Ahmad Rizal Dzikrillah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1587

Abstract

The development of technology is currently very rapid making the dissemination of information faster, the dissemination of information is very easy to get on social media such as Twitter. Twitter social media itself provides features for its users to be able to send and read information in the form of text or video. Elections are a very important moment for the Indonesian people in choosing leaders, in this case the "2024 KPU" as the organizer is expected to be able to run the elections so that they run well. Twitter data collected with the keyword "KPU 2024" obtained a total of 3057 datasets, followed by a cleansing process which produced 715 datasets. The aim of this research is to find out how many positive and negative tweets comments and to indicate the accuracy of the implementation of the Naïve Bayes method. The accuracy results given by the Naïve Bayes algorithm are 67.13% with a precision of 66.04% and a recall of 100.00%. This research was conducted to see public sentiment towards the "2024 KPU" later. Evaluation results in the confusion matrix obtained true positives of 457 and true negatives of 235
Pendalaman Kompetensi Keahlian Kejuruan Teknik Permesinan Kepada Siswa SMKN 1 Cikarang Pusat Riyan Ariyansah; Firman Noor Hasan; Harry Ramzah; Dan Mugisidi; Estu Sinduningrum; Ahmad Faiz Rahmatullah
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 4 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Sistem Informasi dan Teknologi (Sisfokomtek)

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

Abstract

Tujuan pengabdian masyarakat ini ialah untuk mendalami kompetensi keahlian kejuruan teknik permesinan di SMKN 1 Cikarang Pusat melalui program pendalaman kompetensi. Studi ini melibatkan 30 siswa jurusan Teknik Permesinan dalam penerapan pendekatan penelitian pengabdian masyarakat. Identifikasi masalah dilakukan melalui survei dan wawancara awal, yang mengarah pada perancangan rancangan pendalaman kompetensi. Pelaksanaan program melibatkan studi literatur, penerapan rencana pendalaman kompetensi, dan pengumpulan data melalui observasi serta tes pemahaman siswa. Hasil menunjukkan peningkatan signifikan dalam pemahaman siswa, keterlibatan aktif, pengaruh positif keterlibatan industri, dan peningkatan skill praktis sebanyak 20%. Program ini juga meningkatkan keselarasan kurikulum dengan kebutuhan industri, mempersiapkan siswa untuk tantangan di dunia kerja. Temuan ini memberikan kontribusi pada pemahaman lebih lanjut tentang implementasi pendalaman kompetensi dalam pendidikan kejuruan.
Co-Authors Achmad Ramadhan Agus Fikri Ahmad Faiz Rahmatullah Ahmad Rizal Dzikrillah Ahmad Rizal Dzikrillah Ahmad Roshid Ahmad Syahril Alfandi Safira Allif Rizki Abdillah Allif Rizki Abdillah Allif Rizki Abdillah Ananda Bagas Pranata Ananda Prasta Warasati Janah Andika Saputra Ari Wibowo Arief Wibowo Arien Bianingrum Rossianiz Arvin Rafialdo Avis Tantra Mukti Avorizano, Arry Azhar Haikal Anwar Azhar Haikal Anwar Bagas Kembar Rezkyllah Bahrul Rozak Bahrul Rozak Dan Mugisidi Dandie Triyanto Desty Afni Dian Ainurrafik Afnan Sabili Dian Ainurrafik Afnan Sabili Diana Fitri Lessy Diana Fitri Lessy Dimas Febriawan Dion Parisda Ray Djeli Moh Yusuf Erizal Erizal Estu Sinduningrum Estu Sinduningrum Estu Sinduningrum Estu Sinduningrum Fadli Hardiyanto Putra Faisal Parsakh Nursyamsi Faisal Parsakh Nursyamsyi fajar sidik Fajar Sidik Faldy Irwiensyah Faldy Irwiensyah Farhan Bias Purnama Putra Farhan Nufairi Farhan Nufairi Fauzan Setya Ananto Fauzi Kurniawan Fayakun Kun Febriandirza, Arafat Hafizh Dhery Al Assyam Harry Ramzah Hibatullah Faisal Hibatullah Faisal Hilmy Zhafran Muflih Hilmy Zhafran Muflih I Ketut Sudaryana Ibnu Suhada Indra Ramadhan Indra Ramadhan Intania Widyaningrum Irawati Irawati Irfan Ricky Affandi Irfan Ricky Affandi Isa Faqihuddin Hanif Isnan Wisnu Prastiyo Kurniyati Nur Lingga Lita Astri Pramesti Luqman Abdur Rahman Malik Luthfi Akbar Ramadhan Meliyawati Mia Kamayani Mohammad Akhdaan Juliandra Muchammad Sholeh Muchammad Sholeh Muhamad Saiful Arif Muhammad Abid Fajar Muhammad Ikhwan Muhammad Ikhwan Muhammad Rafly Al Fattah Zain Muhammad Ridwan Mutiara Zahra Arifin Nisa Qonita Rizkina Nofendri, Yos Nunik Pratiwi Prastika Indriyanti Prista Afikah Rafli Erlangga Reisa Inayah Rian gustini Ridwan Maulana Subekti Rika Nurhayati Riyan Ariyansah Rizki Alamsyah Rizki Kamelia Rizky Ramdhani Sri Fitriani Tasya Rizki Salsabilla Tia Anggita Sari Wahyu Stiyawan Wanda Aulia Windi Al Azmi Zuhri Halim