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All Journal Jurnal Informatika dan Rekayasa Elektronik Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal AbdiMas Nusa Mandiri Computer Science (CO-SCIENCE) JURNAL REKAYASA INFORMASI SWADHARMA (JRIS)
Kahfi, Ahmad Hafidzul
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Physics Social Sciences Other

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PELATIHAN PEMANFAATAN DIGITAL PARENTING CONTROL MENGGUNAKAN GOOGLE FAMILY LINK PADA IBU TAMAN KAMPUNG TANGGUH Kahfi, Ahmad Hafidzul; Nugraha, Fitra Septia; Ridwansyah, Ridwansyah; Nawawi, Hendri Mahmud
Jurnal AbdiMas Nusa Mandiri Vol. 6 No. 1 (2024): Periode April 2024
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v6i1.4788

Abstract

The use of digital technology is increasingly widespread in the modern era, which is changing the way parents educate their children. "Google Parenting" emerged as a term that reflects parents' efforts to face the challenges of parenting in the digital era. This concept emphasizes the importance of parents understanding the impact of technology on children's development as well as appropriate development strategies to use it wisely while maintaining balance in family life. This service activity aims to provide understanding to parents about using the Google Family Link application. The first stage includes theoretical explanations, direct practice using the application, and interactive discussions. The material is delivered through multimedia techniques using a laptop and the internet. This activity is not only informative but also involves active participants through modules, pretests, posttests and discussions. The results of the training for PKK RW 012 Taman Kampung Tangguh mothers showed an increase in their awareness and understanding of digital risks for children as well as their ability to control children's online activities. This helps reduce the risk of exposure to age-inappropriate content and improves communication between mother and child regarding digital safety.
Pelatihan Pembuatan Database Microsoft Access untuk Pengarsipan Data Ibu PKK Cibubur Nugraha, Fitra Septia; Nawawi, Hendri Mahmud; Ridwansyah, Ridwansyah; Kahfi, Ahmad Hafidzul
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2621

Abstract

Pelatihan Pembuatan Database dengan Microsoft Access untuk Pengarsipan Data pada Ibu PKK RW 012 Kelurahan Cibubur Jakarta Timur merupakan sebuah program yang dirancang untuk meningkatkan keterampilan dan efisiensi dalam pengelolaan data komunitas. Tujuan utama dari pelatihan ini adalah memberikan pengetahuan dan praktik langsung dalam menggunakan Microsoft Access, sebuah antarmuka grafis yang memudahkan pengguna dalam pembuatan dan pengelolaan database. Melalui pelatihan ini, peserta diajarkan cara mendesain database, menginput data, melakukan query untuk mengambil informasi, serta mengelola dan mengarsipkan data secara sistematis dan efisien. Program ini khusus ditujukan kepada Ibu PKK RW 012 Taman Kampung Tangguh, dengan harapan dapat memperkuat peran mereka dalam pengelolaan informasi dan dokumen komunitas. Metodologi pelatihan mencakup sesi teori, praktik langsung, dan studi kasus yang relevan dengan kebutuhan pengarsipan data di lingkungan mereka. Hasil yang diharapkan adalah peningkatan kemampuan Ibu PKK dalam menggunakan teknologi informasi untuk pengarsipan data yang lebih baik, memastikan aksesibilitas dan keamanan informasi yang lebih terjamin.
REVOLUSI DIAGNOSIS: OPTIMASI RANDOM TREE-PSO UNTUK PENYAKIT GINJAL KRONIS Sartini; Sumarna; Hamid, Abdul; Kahfi, Ahmad Hafidzul; Palasara, Nicodias
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 1 (2025): JIRE APRIL 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v8i1.1542

Abstract

Penyakit ginjal kronis (PGK) merupakan salah satu masalah kesehatan serius yang memerlukan deteksi dini untuk mencegah komplikasi lebih lanjut dan meningkatkan kualitas hidup pasien. Penelitian ini bertujuan mengembangkan model prediksi PGK dalam upaya meningkatkan akurasi diagnosis dini PGK dengan dataset yang digunakan diperoleh dari UCI Repository. Metode yang dipakai berbasis algoritma Random Tree yang dioptimasi menggunakan Particle Swarm Optimization (PSO) yang berfungsi sebagai metode optimasi untuk meningkatkan kinerja model dengan kedalaman pohon dan jumlah atribut yang dipertimbangkan pada setiap pemisahan, untuk menemukan konfigurasi yang menghasilkan akurasi tertinggi. Proses pengembangan model mencakup tahap seleksi fitur, pelatihan model, dan evaluasi performa menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa algoritma Random Tree yang dioptimasi PSO secara signifikan meningkatkan performa prediksi dibandingkan model baseline, dengan akurasi mencapai 94,25%. Optimalisasi ini juga mengurangi kompleksitas model tanpa mengorbankan akurasi. Temuan ini menunjukkan potensi penerapan model yang diusulkan untuk mendukung sistem pengambilan keputusan medis secara lebih efisien, terutama dalam deteksi dini PGK. Rekomendasi lebih lanjut mencakup integrasi model ini pada sistem berbasis teknologi di lingkungan klinis untuk mengurangi beban kerja tenaga medis.
RANCANG BANGUN APLIKASI POINT OF SALES PADA RUMAH MAKAN HARAPAN BUNDO BERBASIS ANDROID Salsabil, Harits; Kahfi, Ahmad Hafidzul
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 1 (2025): JURNAL JRIS EDISI JANUARI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no1.666

Abstract

Harapan Bundo is one of the restaurants engaged in the culinary business. The current system at Harapan Bundo restaurant still relies on a manual method, which involves writing on paper and frequently leads to errors while compiling transaction reports. This research aims to design and build an Android-based Point of Sale (POS) application. The system development method uses the iterative waterfall model. The research results in a point-of-sales application built with a flutter framework that can view sales transaction reports, calculate food stock, print transaction receipts, and export sales records in Excel format. The developed application functions effectively and fulfills the requirements for enhancing business development.Rumah makan Harapan Bundo adalah salah satu rumah makan yang bergerak di usaha kuliner. Sistem berjalan saat ini di rumah makan Harapan Bundo masih memakai cara manual yaitu di tulis di kertas, seringkali ketika perekapan laporan transaksi terjadi kesalahan. Tujuan penelitian ini yaitu untuk merancang bangun aplikasi Point of Sales (POS) berbasis android. Metode pengembangan sistem menggunakan model pengembangan sistem iterative waterfall. Hasil Penelitian berupa sebuah aplikasi point of sales yang dibangun dengan framework flutter yang dapat melihat laporan transaksi penjualan, perhitungan stok makanan, dapa mencetak struk transaksi, ekspor pencatatan penjualan dalam bentuk excel. Aplikasi yang dibangun sudah berjalan baik serta sesuai dengan kebutuhan untuk dapat membantu pengembangan bisnis.
THE RIGHT STEPS TOWARDS GRADUATION: NB-PSO SMART COMBINATION FOR STUDENT GRADUATION PREDICTION Kahfi, Ahmad Hafidzul; Prihatin, Titin; Yudhistira, Yudhistira; Sudradjat, Adjat; Wijaya, Ganda
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1889

Abstract

The current digital era demands a more innovative approach in predicting student campuses considering that campuses are not only important for students but also for lecturers, student guardians and higher education institutions. Previous studies have used various machine learning methods such as Decision Trees, Neural Networks, Support Vector Machines, etc. in these predictions. The problem that occurs is that even though various machine learning methods have been used, there are still limitations in the accuracy and efficiency of predicting student admissions, The problem in question can be given a real example of a case that occurred. So with this problem the aim is to develop a more effective methodology in predicting student permits, with recommendations from an intelligent combination of two computational techniques Naive Bayes (NB) and Particle Swarm Optimization (PSO). This research methodology includes data collection, NB model development and model partnership with PSO. Student graduation data is used in model testing with evaluation based on metrics such as accuracy and Area Under the Curve (AUC). The results showed a significant increase in accuracy to 86.94% from 83.30% and AUC value from 0.860 to 0.884 when using the combination of NB and PSO compared to NB without either. The integration of NB and PSO has been proven to increase effectiveness in classifying student graduation prediction cases. This research opens up opportunities for the practical application of technology in the education sector and emphasizes the importance of using effective optimization and feature selection techniques in improving prediction results.
Development of Web and Mobile Health Services Information System Using Waterfall Method Pratrian, Yoga; Hendriyan, Yayan; Kahfi, Ahmad Hafidzul
Computer Science (CO-SCIENCE) Vol. 6 No. 1 (2026): January 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/co-science.v6i1.10072

Abstract

The increasing demand for fast, accurate, and efficient healthcare services has encouraged the development of integrated information systems. This study aims to design and develop a Health Service Information System (SILAKES) based on web and mobile platforms at the Oputa Yi Koo Heart and Blood Vessel Hospital (RSJPD) in Kendari. The system is developed to facilitate patients in accessing doctor schedules, taking queue numbers online, consulting services, checking blood stock availability, and filling out satisfaction surveys. The development process adopts the waterfall (linear sequential model) method, which consists of five stages (requirement definition, system and software design, implementation and unit testing, integration and system testing, operation and maintenance). The results of this study show that SILAKES improves the efficiency of hospital staff and provides convenience for patients to access health services without space and time constraints. The implementation of this system also contributes to the digitalization of hospital services and supports the enhancement of overall healthcare service quality
Co-Authors Abdul Hamid Adjat Sudradjat Dwiza Riana Ganda Wijaya, Ganda Hendriyan, Yayan Muhamad Hasan Nawawi, Hendri Mahmud Nicodias Palasara Nugraha, Fitra Septia Pratrian, Yoga Ridwansyah Ridwansyah Salsabil, Harits Sartini Sumarna Yudhistira Yudhistira