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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Tika Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Mahara Bengi
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Diagnosa Penyakit Bawang Merah Dengan Metode Forward Chaining Dan Backward Chaining Mukti Qamal; Fadlisyah; Mahara Bengi; Mukarramah
Jurnal Tika Vol 7 No 1 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.308 KB) | DOI: 10.51179/tika.v7i1.1002

Abstract

Plant diseases are the main enemy of farmers. Many farmers fail to harvest or reduce their agricultural yields because they are not able to properly deal with the diseases that attack their crops. One of the plants that are susceptible to disease is the onion plant. To properly handle the disease that attacks the shallot plant, an agricultural expert is needed. While the number of agricultural experts is limited and unable to deal with the problems of a large number of farmers at the same time, so we need a system that has the capabilities of an agricultural expert, which in this system contains the expertise of an agricultural expert regarding diseases, symptoms and diseases treatment of onion plants. In this study, a Web-based expert system was designed and built using rule-based reasoning with forward chaining and backward chaining inference methods which were intended to assist farmers in diagnosing diseases in shallots, and how to handle them. In this study, forward chaining and backward chaining methods will be compared so that the results will be obtained which method is more suitable for diagnosing a disease. From the results of the comparison analysis of the two methods, it was found that the Forward Chaining method was better and more efficient for diagnosing diseases in shallot plants.
Application of Natural Language Processing and LSTM in A Travel Chatbot for Medan City Atika, Syarifah; Bengi, Mahara; Sardeng, Shekainah Kim A.
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 1 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i1.1481

Abstract

The tourism sector plays a vital role in economic growth and regional development. Medan, a major city in North Sumatra, offers rich religious, historical, and cultural attractions. However, fragmented and inconsistent information presents challenges for both tourists and destination managers, often complicating travel planning. To address this issue, this study proposes the development of an AI-based chatbot aimed at enhancing the tourism experience in Medan. By integrating Natural Language Processing (NLP) and Long Short-Term Memory (LSTM), the chatbot is designed to deliver accurate, contextual, and conversational responses tailored to users' tourism-related queries. It was trained on a comprehensive dataset compiled from various sources concerning Medan’s tourism. The training ran over 100 epochs, achieving an accuracy of 84.31% and a loss of 0.7594. Validation testing yielded an accuracy of 77.14% and a loss of 2.4233, indicating good generalization to unseen data. End-to-end testing with 312 queries covering all defined intents resulted in a testing accuracy of 75.64%, confirming the model’s practical effectiveness. The findings demonstrate that the chatbot can accurately interpret user input, classify information, and enhance user interaction. supports the digital transformation of Medan’s tourism sector by introducing a reliable, AI-driven tool for seamless travel planning and engagement.
PEMBERDAYAAN PANTI ASUHAN MELALUI PENERAPAN SISTEM INFORMASI DIGITAL DALAM MENINGKATKAN TRANSPARANSI DAN PENGELOLAAN DONATUR SERTA ANAK ASUH Rizka, Chicha; Gunawan, Chichi Rizka; Bahri, Rahmad; Pradipta, Rahman; Syahputri, Ayu; Bengi, Mahara; Z, Muhammad Daffa
Jurnal Masyarakat Berdikari dan Berkarya (Mardika) Vol 3 No 3 (2025): Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Publisher : Fakultas Teknik, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/mardika.v3i3.13518

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan efektivitas, akurasi, dan transparansi pengelolaan administrasi di panti asuhan melalui penerapan sistem informasi digital berbasis web. Selama ini, pendataan anak asuh dan donatur dilakukan secara manual sehingga sering menimbulkan masalah seperti duplikasi data, keterlambatan pelaporan, kesalahan pencatatan, serta kurangnya transparansi dalam pemanfaatan donasi. Melalui kegiatan ini, tim pengabdian melakukan analisis kebutuhan, perancangan, implementasi sistem, serta pelatihan penggunaan kepada pengurus panti. Sistem informasi yang dibangun mencakup fitur pengelolaan data anak asuh, pencatatan donatur, histori donasi, laporan keuangan sederhana, dan dashboard visual. Hasil kegiatan menunjukkan bahwa sistem informasi digital mampu meningkatkan efisiensi kerja pengurus, meningkatkan transparansi informasi kepada donatur, serta mendukung pengelolaan panti secara lebih terstruktur dan profesional. Dengan demikian, implementasi sistem informasi terbukti efektif sebagai bentuk pemberdayaan panti asuhan menuju tata kelola yang lebih modern, akuntabel, dan berkelanjutan.
Co-Authors Atika, Syarifah Bahri, Rahmad Fadlisyah Gunawan, Chichi Rizka Mukarramah Mukti Qamal Pradipta , Rahman Rizka, Chicha Sardeng, Shekainah Kim A. Syahputri, Ayu Z, Muhammad Daffa