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All Journal IndoMath: Indonesia Mathematics Education JITK (Jurnal Ilmu Pengetahuan dan Komputer) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Jurnal Digit : Digital of Information Technology Mosharafa: Jurnal Pendidikan Matematika Jurnal Informatika Terpadu Nuansa Informatika AMMA : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Linier: Literatur Informatika dan Komputer
Ahmad Faqih
STMIK IKMI Cirebon
Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing Other

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USING K-MEANS FOR DISTRICT-CITY POVERTY CLUSTERING IN INDONESIA Abdul Mukhyidin; Ahmad Faqih; Ade Rizki Rinald
NUANSA INFORMATIKA Vol. 19 No. 1 (2025): Nuansa Informatika 19.1 Januari 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i1.300

Abstract

Poverty is one of the main challenges faced by the government in its efforts to improve people's welfare. Identifying regions based on the poverty line level is an important step to ensure well-targeted interventions. This study aims to categorize districts/cities based on poverty levels using the K-Means Algorithm, so that it can be a guide in data-based policy making. The research method starts with data collection, data selection process to handle missing values using the replacement method. Determination of the optimal number of clusters was done using Within Sum of Squares (WSS) to ensure that each region was grouped into clusters based on their level of similarity, which showed that three clusters were the ideal number. An evaluation of the clustering results was conducted to ensure the stability and accuracy of the clustering. The results show that the districts/municipalities are divided into three clusters based on the poverty line level, namely cluster 0 with a high poverty line level (241 regions), cluster 1 with a medium poverty line level (247 regions), and cluster 2 with a low poverty line level (90 regions). This study concludes that the K-Means Algorithm is effective in clustering regions based on poverty levels, providing a strong basis for data-driven decision-making. Future research is recommended to use more diverse data and cover more indicators, such as education level, access to health services, or infrastructure quality.
Mengoptimalkan Kinerja Naïve Bayes Pada Ancaman Modern Dengan Menggunakan PCA Pada Data Intrusion Detection System (IDS) Kevin Salsabil Arlandy; Ahmad Faqih; Ade Rizki Rinaldi
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 8, No 1 (2025): Januari
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v8i1.303

Abstract

Abstrak: Intrusion Detection System (IDS) digunakan untuk mendeteksi serangan atau aktivitas mencurigakan dalam jaringan. Dengan meningkatnya ancaman siber modern, penelitian ini mengusulkan kombinasi metode Naïve Bayes dan Principal Component Analysis (PCA) untuk meningkatkan akurasi dan efisiensi deteksi. Metode tambahan PCA dapet mereduksi dimensi dataset menjadi 30 komponen utama tanpa kehilangan informasi penting, menggunakan dataset UNSW-NB15. Proses melibatkan standarisasi data dengan StandardScaler, reduksi dimensi menggunakan PCA, serta evaluasi model Naïve Bayes pada dataset dengan dan tanpa PCA. Analisis ini menggunakan program Python yang di eksekusi dengan Google Collab, dengan hasil menunjukkan bahwa model dengan PCA mencapai akurasi sebesar 96.65% dengan recall 1.00 untuk kelas ancaman, meskipun presisi masih rendah (0.49). Sebaliknya, tanpa PCA, akurasi hanya mencapai 92.72% dengan presisi 0.31 untuk kelas yang sama. Selain itu, penggunaan PCA berhasil mengurangi waktu komputasi dari 1 menit menjadi 30 detik. Kombinasi dengan teknik reduksi dimensi Principal Component Analysis (PCA) menunjukkan kinerja yang lebih baik dalam mengklasifikasikan data pada sistem Intrusion Detection System (IDS). PCA dan Naïve Bayes terbukti menjanjikan dalam mendeteksi ancaman modern, meskipun masih diperlukan perbaikan untuk mencapai kinerja yang lebih optimal.Kata kunci: Intrusion Detection System, Naïve Bayes, PCA, Keamanan JaringanAbstract:An Intrusion Detection System (IDS) is used to detect attacks or suspicious activities in the network. With the increase of modern cyber threats, this research proposes a combination of Naïve Bayes and Principal Component Analysis (PCA) methods to improve detection accuracy and efficiency. The additional PCA method can reduce the dataset dimension to 30 principal components without losing important information, using the UNSW-NB15 dataset. The process involves data standardization with Standard-Scaler, dimensionality reduction using PCA, and Naïve Bayes model evaluation on the dataset with and without PCA. This analysis used a Python program executed with Google Collab, with the results showing that the model with PCA achieved an accuracy of 96.65% with a recall of 1.00 for the threat class. However, the precision was still low (0.49). In contrast, without PCA, the accuracy only reached 92.72% with a precision of 0.31 for the same class. In addition, the use of PCA successfully reduced the computation time from 1 minute to 30 seconds combination with the Principal Component Analysis (PCA) dimension reduction technique shows better performance in classifying data in the Intrusion Detection System (IDS). PCA and Naïve Bayes proved promising in detecting modern threats, although improvements are still needed to achieve more optimal performance.Keywords: Intrusion Detection System, Naïve Bayes, PCA, Network Security
Analisis Sentimen Ulasan Pengguna Aplikasi Kredivo Menggunakan Algoritma Support Vector Machine (SVM) dengan Metode TF–IDF Ariska Sari; Bambang Irawan; Ahmad Faqih; Arif Rinaldi Dikananda; Fathurrohman Fathurrohman
LINIER: Literatur Informatika dan Komputer Vol 2, No 4 (2025)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/linier.v2i4.3344

Abstract

Perkembangan teknologi informasi telah mendorong peningkatan substansial dalam jumlah data teks yang dihasilkan melalui berbagai interaksi pengguna pada platform digital, khususnya di bidang layanan keuangan online. Data ulasan konsumen mengandung informasi berharga terkait tingkat kepuasan dan pandangan pelanggan terhadap suatu produk atau jasa. Kajian ini mengkhususkan diri pada penerapan analisis sentimen terhadap ulasan pengguna aplikasi Kredivo, dengan memanfaatkan algoritma Support Vector Machine (SVM) serta serangkaian langkah pra-pemrosesan teks yang komprehensif. Langkah-langkah tersebut meliputi case folding, pembersihan data, tokenisasi, penghapusan kata-kata berhenti, dan stemming dengan bantuan pustaka Sastrawi yang dirancang untuk Bahasa Indonesia. Fitur teks diekstraksi menggunakan pendekatan Term Frequency–Inverse Document Frequency (TF–IDF), kemudian diklasifikasikan melalui model SVM dengan kernel Radial Basis Function (RBF). Hasil percobaan menunjukkan bahwa model SVM menunjukkan kinerja klasifikasi yang superior, dengan tingkat akurasi yang tinggi dalam membedakan sentimen positif, negatif, dan netral. Temuan ini konsisten dengan studi sebelumnya yang menekankan bahwa penggabungan stemming, penghapusan kata-kata berhenti, dan SVM dapat meningkatkan akurasi analisis sentimen secara bermakna. Secara keseluruhan, penelitian ini memberikan sumbangan bagi pengembangan teknik analisis sentimen dalam Bahasa Indonesia, terutama di sektor teknologi keuangan, dengan membuktikan bahwa integrasi antara SVM dan TF–IDF, yang didukung oleh pra-pemrosesan yang sesuai, mampu menghasilkan model klasifikasi opini pelanggan yang efektif dan mampu menyesuaikan diri dengan nuansa linguistik Bahasa Indonesia
Penguatan Kompetensi Digital Siswa SMA Dan SMK Melalui Pelatihan Operator Komputer Madya Di Kota Cirebon Agus Bahtiar; Ahmad Faqih; Ainun Nisa Sari; Luthfiyyah Iffah Adelia
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 2 : Maret (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

This Community Service Program (PkM) was conducted to address the issue of insufficient digital competence among vocational and high school students in Cirebon City. The rapid advancement of digital technology requires every individual, including students, to possess adequate computer skills. A survey revealed that many students lack proficiency in basic skills such as office software usage, data processing, and computer operating systems, hindering their readiness for the workforce. Therefore, a computer operator training program was designed to enhance students' digital competence, provide them with relevant skills, and improve their competitiveness in the labor market. The program's implementation methods included theoretical and practical training, job simulations, and periodic mentoring and evaluation. The training covered fundamental materials on computer operation, office software, and computer system management. Job simulations were conducted to provide students with practical experience, while mentoring and evaluation aimed to ensure a thorough understanding of the material. The program involved coordination with partner schools, development of training modules, and preparation of necessary tools and devices. The results of this program demonstrated a significant improvement in students' digital skills. Over 80% of participants showed enhancement in office software usage, and students became more confident in using computers for academic tasks and job preparation. Partner schools also expressed interest in continuing this program sustainably. Concrete outputs from this activity included computer operator training modules, competency certificates for participants, student skill evaluation data, and partnerships with the industry for internship and employment opportunities. This program is expected to have a long-term positive impact on vocational and high school students in Cirebon City, enhance their readiness to face the challenges of the digital world, and contribute to strengthening the digital education ecosystem in the region.
Pemanfaatan Google Analytics Dan Facebook Ads Sebagai Strategi Pemasaran Digital Bagi UMKM Dan Startup Ahmad Faqih; Ahmad Rifa'i; Arga Esa Putra; Marfelio Muhammad Fajid
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 2 : Maret (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

In the competitive digital era, Micro, Small and Medium Enterprises (MSMEs) and startups are required to adopt data-driven marketing strategies to improve promotional effectiveness and competitiveness. However, many of them still face obstacles in understanding and implementing digital analytics tools such as Google Analytics and advertising platforms such as Facebook Ads. These issues include a lack of understanding of data analytics, difficulties in determining target audiences, as well as budget and resource constraints. This programme aimed to provide practical training and mentoring in the use of both platforms as a solution to improve digital marketing effectiveness. The results showed that 85% of participants experienced increased understanding, and more than 70% successfully implemented more efficient and measurable digital campaigns. In addition to increasing digital engagement and sales conversion, the programme also established a digital marketing community for continued learning. This programme is proven to encourage business independence in managing their digital marketing strategies and contributing to local economic growth.
Optimalisasi Pemasaran Digital Umkm Untuk Meningkatkan Penjualan Produk Lokal Ahmad Faqih; Ahmad Rifa’i; Aulia Nur Rochmah; Azis Alma’as
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2023): AMMA : Jurnal Pengabdian Masyarakat (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving both local and national economies. However, in today's digital era, many MSME players have not yet optimally utilized information technology, particularly in the field of marketing. The lack of digital skills and limited understanding of online promotional strategies have made local products less competitive and less recognized in wider markets. This Community Service Program (PKM) aims to enhance the digital marketing capacity of MSME players, especially in utilizing online platforms for promoting and selling local products. The program was carried out through a series of training sessions and direct mentoring with partner MSMEs, focusing on setting up business accounts on social media, using marketplaces, developing digital branding strategies, and creating engaging visual content. The tools used included Instagram Business, WhatsApp Business, Shopee, and design applications such as Canva. The training was delivered in a practical manner using case studies and hands-on simulations involving the participants' own products. Evaluation was conducted through pre-tests and post-tests, as well as observation of participants' digital activities after the training. The results showed a significant improvement in participants’ understanding of digital marketing. Most MSME partners successfully activated their business accounts, began posting product content regularly, and were able to design seasonal promotional strategies. In addition, participants demonstrated high enthusiasm to continue learning and growing their businesses digitally. This program has had a tangible impact in helping MSMEs reach wider markets and build stronger brand identities. Moving forward, this training can serve as a sustainable initiative as part of the comprehensive digital transformation of MSMEs.
Implementasi Sistem Informasi Sederhana Untuk Administrasi Keuangan Posyandu Ahmad Rifa’i; Ahmad Faqih; Fadli Iqbal Syaidin; Fatkhan Mubarok
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2023): AMMA : Jurnal Pengabdian Masyarakat (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

This community service program aims to assist Posyandu (Integrated Health Service Post) in improving the efficiency and transparency of financial administration through the implementation of a simple information system. The main problems faced by the Posyandu partners are the use of manual recording in financial management, the low level of digital literacy among the cadres, and the lack of transparency in preparing financial reports. These conditions can lead to recording errors, loss of financial data, and reduced trust from the community and donors. Therefore, the solution offered in this activity is the development and implementation of a simple digital-based information system to help record income, expenses, and automatically generate financial reports. The method of implementing this activity includes identifying the needs of partners, system design, training and assisting Posyandu cadres, as well as evaluating the effectiveness of the system usage. The results of the activity showed that Posyandu cadres were able to independently use the information system to record financial transactions and prepare standardized financial reports more quickly, accurately, and transparently. In addition, the implementation of this program also improved the digital literacy of cadres and facilitated the financial accountability process to the government and donors. The outcomes of this activity include a simple financial administration information system based on Google Sheets or automated Excel, user manuals, and standardized financial report templates. This program is expected to be a sustainable solution for Posyandu in managing financial administration more effectively and efficiently, while also enhancing the professionalism of Posyandu in providing health services to the community. With this system, Posyandu will not only be better prepared to manage existing funds but will also find it easier to gain trust from external parties for the sustainability of community health programs.
Implementasi Teknologi IoT untuk Monitoring Suhu dan Kelembaban pada Usaha Tani Hortikultura Agus Bahtiar; Ahmad Faqih; Chulyatunni’mah; Madyant
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 03 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Horticultural farming is highly dependent on environmental conditions, particularly temperature and humidity. Unstable weather conditions often cause problems in plant growth, trigger pest and disease outbreaks, and reduce crop yields. Based on these challenges, this community service program aims to implement Internet of Things (IoT) technology as a solution for real-time monitoring of temperature and humidity in horticultural farmland. The program’s partners are farmer groups who have been using manual methods to monitor environmental conditions. This activity was carried out in several stages: needs identification, IoT system design and installation, training for system usage, and post-implementation evaluation. The developed system consists of temperature and humidity sensors, microcontrollers, and a cloud based dashboard connected to a mobile application, allowing farmers to monitor conditions anytime. The system also features automatic notifications when extreme temperature or humidity changes are detected. The results show improvements in monitoring efficiency and farmers' responsiveness to environmental changes. Farmers can make quicker decisions, reducing the risk of crop failure. Additionally, the efficient use of resources such as water and fertilizer has increased, resulting in lower operational costs and higher income. In terms of digital literacy, this program has also contributed to improving technological skills among farmers. With the implementation of IoT technology, this program supports the transformation toward smart farming. It is expected not only to improve productivity but also to enhance the resilience and sustainability of horticultural farming in the future.
Peningkatan Kreativitas Karang Taruna Melalui Pelatihan Desain Grafis dan Konten Digital Ahmad Faqih; Ahmad Rifai; Mohamad Riad Solihin; Muhammad Daffa Ayyasy
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 03 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The role of youth in village development is becoming increasingly important in the digital era, particularly in promoting local potential, social activities, and creative economic initiatives. One of the main challenges faced by youth organizations such as Karang Taruna is the limited ability to produce engaging digital content and graphic designs, despite the great potential of social media as a means of promotion and communication. This Community Service Program (PKM) aims to enhance the capacity of Karang Taruna members in creating creative content and graphic design using simple and accessible digital applications. The program was carried out in several stages: identifying participants’ needs, developing training modules, conducting in-person training sessions, and providing post-training assistance. The training materials included the basics of graphic design, understanding visual elements (color, typography, layout), simple photography and videography techniques using smartphones, and the use of design applications such as Canva, CapCut, and Pixellab. Participants also practiced creating social media content to promote village activities, local MSMEs, and social campaigns managed by Karang Taruna. The results show a significant improvement in participants' skills in designing posters, Instagram feeds, and short videos for publication purposes. Some of the participants' works have been uploaded to Karang Taruna’s official social media accounts and received positive responses from the community. This program not only enhanced technical skills but also fostered confidence, creativity, and a spirit of collaboration among members. It makes a tangible contribution to empowering village youth through digital literacy and creative media. Moving forward, this training can be developed into a sustainable program to strengthen the village’s digital identity and promote local potential through community-based efforts.
Co-Authors Abdul Mukhyidin Ade Irma Purnamasari Ade Rizki Rinald Ade Rizki Rinaldi Adisty Tri Putra Ahmad Rifa'i Ahmad Rifai Ahmad Rifa’i Ainun Nisa Sari Andi Setiawan Arga Esa Putra Arif Rinaldi Dikananda Ariska Sari Aulia Nur Rochmah Azis Alma’as Bambang Irawan Chulyatunni’mah Dinar Faris Naufal Fadli Iqbal Syaidin Fathurrohman Fathurrohman Fatkhan Mubarok Gifthera Dwilestari Haris Abdul Hadi Heliyanti Susana Iin Kevin Salsabil Arlandy Kurniawan Fajar Abdulloh Luthfiyyah Iffah Adelia Madyant Marfelio Muhammad Fajid Mohamad Riad Solihin Muhammad Daffa Ayyasy Nanda Permatasari Nining Rahaningsih Nisa Dieanwati Nuris Odi Nurdiawan Salsa Billa Agistina Siti Sa'diah Sri Darmayanti Yubi Aqsho Ramadhan