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All Journal Infotech: Journal of Technology Information AMMA : Jurnal Pengabdian Masyarakat JURNAL TEKNIK INFORMATIKA DAN KOMPUTER SAMBARA: Jurnal Pengabdian Kepada Masyarakat JPMB : Jurnal Pengabdian Masyarakat Berkelanjutan
Faldy Irwiensyah
Universitas Muhammadiyah Prof. Dr. Hamka
Religion Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Nursing Social Sciences

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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
IMPLEMENTASI SISTEM INFORMASI KESEHATAN BERBASIS KADER POSYANDU UNTUK DIGITALISASI DATA KESEHATAN Dodi Syaripudin; Faldy Irwiensyah; Rusdi Doviyanto; Zuhri Halim
Jurnal Pengabdian Masyarakat Berkelanjutan Vol. 2 No. 1 (2026): Jurnal Pengabdian Masyarakat Berkelanjutan (JPMB), Februari 2026
Publisher : Yayasan Nusa Cendekia Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64020/jpmb.v2i1.21

Abstract

Posyandu plays a crucial role in maternal and child health monitoring; however, manual recording systems using KIA/KMS books often lead to data inconsistency, physical damage risks, and delays in reporting health indicators such as stunting. This community service activity was carried out through an approach focused on the development and implementation of a health information system based on Posyandu cadres. This study aims to design and implement a digital health information system to transform data management processes at the Posyandu level to be more accurate, efficient, and integrated. This research employs the Research and Development (R&D) method with the Waterfall development model. The system design is modeled using the Unified Modeling Language (UML), including use case, activity, and class diagrams. Testing was conducted using Black Box Testing for functional validation and User Acceptance Test (UAT) to measure the level of user acceptance.  The results show that the developed information system is 100% functional according to technical specifications. UAT testing among Posyandu volunteers (kader) indicated a satisfaction rate of 88%, categorizing the system as Highly Acceptable. Data digitalization through this system significantly accelerates the data recapitulation process and minimizes input errors, thereby supporting more targeted medical decision-making at the Community Health Center (Puskesmas) level.
Pelatihan Pembuatan Konten Promosi Bagi Pelaku UMKM Dengan Menggunakan Aplikasi CANVA Faldy Irwiensyah; Arafat Febriandirza
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 12 : Januari (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Micro, Small, and Medium Enterprises (MSMEs) are currently facing increasingly intense competition, particularly in the fields of digital marketing and branding. These two aspects have become essential skills that MSMEs must possess to compete in the digital space. The rapid development of digital competencies requires MSMEs to be ready to adapt by optimizing their use of digital media. Effective and targeted use of digital media is one of the key factors for MSMEs to achieve success. Therefore, MSME entrepreneurs need to enhance their ability to create engaging and interactive marketing content for promotion on digital platforms. As part of a community service initiative, training and mentoring activities were conducted to support MSME entrepreneurs, specifically DINARNIA Muslim Clothing Store. This training aimed to teach strategies for creating promotional content on digital media using the Canva application. Through this program, MSME entrepreneurs learned to utilize Canva, starting from creating an account, logging into the application, selecting templates, and adding images and text to the chosen templates. It is hoped that this training will assist MSMEs in promoting their products or services digitally, increasing sales, and ensuring business sustainability. The participants gained valuable insights into effectively using Canva, enabling them to advance their MSMEs to a better level.
ANALISIS KEPUASAN MASYARAKAT TERHADAP PERILAKU KORUPSI PEMERINTAH BERDASARKAN KOMENTAR PADA SOSIAL MEDIA MENGGUNAKAN NAIVE BAYES CLASSIFIER Faldy Irwiensyah; Firman Noor Hasan
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.576

Abstract

Corrupt behaviour by government officials often occurs and becomes a problem that can disturb the public and threaten the integrity of the government system. Social media has become an important means for the public to voice their opinions and sentiments on social issues, including corrupt behaviour by government officials. This study aims to analyze the corrupt behaviour of government officials based on public sentiment on social media using the Naïve Bayes Classifier method. Data was obtained from Twitter with keywords closely related to corruption cases involving government officials, data obtained in a certain period. The Naïve Bayes Classifier method was applied to classify tweets related to corrupt behaviour by government officials to later be categorized into positive sentiment, and negative sentiment. The results of this study conclude that the TF-IDF Weighting Process, 3 words are very dominant and often appear in public sentiments, namely the words "Corruption", "Official" and the word "Tax". This shows that the public is very angry and disappointed, and this results in a very low level of trust in corrupt behaviour carried out by government officials. Especially those carried out by tax officials
Pengaruh Digital Marketing terhadap Kinerja Usaha Mikro dalam Pengembangan Kewirausahaan di Karawang Neneng Sayidah; Tuti Asmala; Lilis Suryani; Nurmauli Banjarnahor; Faldy Irwiensyah
SAMBARA: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2026): Mei
Publisher : CV Putra Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58540/sambarapkm.v4i2.1701

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh pemasaran digital terhadap kinerja usaha mikro di Kabupaten Karawang. Penelitian menggunakan pendekatan kuantitatif eksplanatori dengan melibatkan 120 pelaku usaha mikro yang dipilih melalui teknik purposive sampling. Variabel pemasaran digital diukur melalui indikator penggunaan media sosial, pemanfaatan e-commerce, komunikasi pemasaran melalui aplikasi perpesanan bisnis, serta kemampuan membuat konten promosi digital. Variabel kinerja usaha diukur melalui pertumbuhan penjualan, peningkatan laba, efisiensi biaya pemasaran, dan keberlanjutan usaha. Data dikumpulkan melalui kuesioner terstruktur dan dianalisis menggunakan regresi linear. Hasil penelitian menunjukkan bahwa pemasaran digital berpengaruh positif dan signifikan terhadap kinerja usaha mikro dengan nilai koefisien β = 0,582 dan p < 0,001. Temuan ini menunjukkan bahwa semakin optimal penggunaan pemasaran digital, semakin tinggi peluang usaha mikro untuk memperluas pasar, meningkatkan penjualan, dan memperkuat daya saing. Secara teoretis, penelitian ini memperkuat pandangan bahwa kapabilitas digital merupakan sumber daya strategis yang dapat meningkatkan kinerja usaha mikro dalam konteks kewirausahaan lokal. Penelitian ini merekomendasikan pelaku usaha mikro untuk mengoptimalkan media sosial, e-commerce, dan konten digital sebagai strategi pemasaran yang terukur dan berkelanjutan
Co-Authors Dodi Syaripudin Febriandirza, Arafat Firman Noor Hasan Lilis Suryani Neneng Sayidah Nurmauli Banjarnahor Rusdi Doviyanto Tuti Asmala Zuhri Halim