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All Journal Journal of Artificial Intelligence and Innovative Applications (JOAIIA) OKTAL : Jurnal Ilmu Komputer dan Sains APPA : Jurnal Pengabdian Kepada Masyarakat
Elfi Fauziah
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Astronomy Chemistry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences

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Pemanfaatan Smartphone Android Dalam Membuat Website Sebagai Alternatif Bagi Siswa Kelas X Tjkt SMK Negeri 8 Kabupaten Tangerang Muhamad Rosdiana; Elfi Fauziah; Riswal Hanafi Siregar
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 2 No 2 (2024): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

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Abstract

Pengabdian Kepada Masyarakat yang dilaksanakan di SMKN 8 Kabupaten Tangerang merupakan sebagai wujud nyata dari Tri Darma Perguruan Tinggi. Berdasarkan analisa yang dilakukan, permasalahan yang ada pada mitra yaitu bahwa siswa kesulitan belajar membuat program dengan efektif karna terbatasnya jumlah komputer yang ada di lab sehingga menyebabkan siswa dan siswi tidak maksimal belajarnya dan kemampuan siswa dan siswi tersebut sangat minim di dalam praktek terutama mata pelajaran kejuruan seperti pemrograman. Tujuan dari kegiatan ini adalah agar siswa dan siswi SMK Negeri 8 Kabupaten Tangerang dapat tetap belajar walaupun dengan segala keterbatasan komputer di lab juga memberikan pengetahuan baru kepada siswa dan siswi SMK Negeri 8 kabupaten Tangerang bahwa belajar membuat website itu tidak selalu harus menggunakan laptop atau komputer. Dengan memanfaatkan kecanggihan teknologi melalui media smartphone, kita bisa belajar seperti biasanya. Aplikasi yang digunakan dalam membuat website adalah Quick Edit. Aplikasi ini bisa di download di playstore dan sangat mudah cara menggunakannya. Di dalam aplikasi ini kita bisa membuat website seperti halnya kita membuat website di komputer atau laptop. Di dalamnya ada text editor sebagai tempat untuk kita menuliskan kode program, kemudian program yang sudah kita buat juga bisa disimpan bahkan bisa kita gunakan juga ketika kita akan menggunakan komputer, jadi sama sama berjalan programnya, lalu ada compiler juga untuk mengeksekusi program. Dengan adanya pelatihan ini diharapkan siswa dan siswi SMK Negeri 8 Kabupaten Tangerang lebih kreatif lagi dalam membuat program atau aplikasi khususnya membuat website dan diharapkan juga skill dalam membuat program akan lebih terasah. Dengan pelatihan ini, siswa dan siswi akan tetap bisa belajar kapanpun dan dimanapun sehingga kemampuan mereka dalam membuat program bisa lebih baik lagi. Selain itu, yang menjadi target luaran dari kegiatan pengabdian ini adalah meningkatnya pengetahuan dan kemampuan siswa dan siswi SMK Negeri 8 Kabupaten Tangerang dalam membuat program atau aplikasi berbasis web khususnya dengan memanfaatkan smartphone.
SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN TOMAT MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB Iqbal Wilson; Elfi Fauziah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 11 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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The expert system for diagnosing tomato plant diseases using the web-based forward chaining method in West Lampung Liwa was created to identify the symptoms of tomato diseases and solutions for handling tomato plants, providing solutions to farmers for dealing with tomato plant diseases, to implement the forward chaining method in the diagnosis process diseases that exist in tomato plants based on predetermined rules. An expert system for diagnosing tomato plant diseases using a website-based forward chaining method is designed using the PHP programming language and a MySQL database which in the final stage can function to make data processing easier, for the implementation stage it uses UML (Unified Modeling Language) which can analyze input and data output. The forward chaining method is drawing conclusions based on existing facts leading to that conclusion using the IF part of the IF-THEN rule. To ensure the system runs well, two stages of testing are carried out, namely white box and black box testing in the process of managing symptom data, managing rice disease data and testing to display the results of disease diagnosis reports on tomato plants.
Sistem Pakar Diagnosa Penyakit Kucing Menggunakan Metode Forward Chaining Berbasis Web Izdihar Thallah; Elfi Fauziah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 01 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

A domesticated animal could be classified as easy the maintenance one of the ways is one was kittens. But to keep cats well cared for is not easy. Most cats with the disease don't look that sick. Cat owners sometimes only realize when their pet cat experiences significant changes such as hair loss to baldness, reddish skin and even wounds. The purpose of this study is to diagnose cat diseases as a first step to apply artificial intelligence in the medical world, to design and apply an expert system capable of diagnosing cat diseases. So the authors created a web-based expert system application to diagnose cat diseases accompanied by healing therapies and how to treat them. The method used in this study is forward chaining, namely tracking that starts from input information, and then tries to draw conclusions. This research will produce a web-based application for diagnosing cat diseases.
PENGEMBANGAN SISTEM PAKAR MTBS BERBASIS WEBSITE MENGGUNAKAN METODE FORWARD CHAINING Azizah, Shalwa; Elfi Fauziah
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 6 No. 4 (2025): November
Publisher : Journal of Artificial Intelligence and Innovative Applications (JOAIIA)

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Abstract

Addressing morbidity and mortality rates among children under five years old in developing nations is a pressing public health priority. The global standard, Integrated Management of Childhood Illness (IMCI) , often faces significant hurdles in implementation, namely the scarcity of trained staff and a heavy dependence on outdated, manual, chart-based diagnostics. This reliance leads to a higher risk of clinical errors and dangerous treatment delays. To overcome this, our research focused on designing, implementing, and validating a novel web-based expert system that fully digitizes the IMCI clinical decision-making process for children aged 2 months to 5 years. Built on a modern full-stack architecture (SvelteKit, Node.js, MySQL) , the core diagnostic logic employs the Forward Chaining inference method , allowing the system to systematically process symptoms and arrive at a precise diagnosis. Rigorous functional testing (Black Box) showed a 100% compliance rate , while structural analysis (White Box) confirmed the implementation of a strict exact match rule mechanism. Crucially, the system demonstrated a high clinical accuracy rate of 90.7%. This resulting application serves as an efficient digital instrument for democratizing IMCI clinical knowledge, promising a significant boost in the speed and consistency of primary healthcare services, especially in underserved regions.
Co-Authors Azizah, Shalwa Iqbal Wilson Izdihar Thallah Muhamad Rosdiana Riswal Hanafi Siregar