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All Journal Semantik Jurnal Informatika Upgris Jurnal Penelitian Pendidikan IPA (JPPIPA) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Informatika Universitas Pamulang IJISTECH (International Journal Of Information System & Technology) Journal of Technopreneurship and Information System (JTIS) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Jurnal Informatika dan Rekayasa Perangkat Lunak Community Empowerment IJISTECH Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Publika Pengabdian Masyarakat J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Pelita: Jurnal Pengabdian kepada Masyarakat
Noora Qotrun Nada, Noora Qotrun
Universitas PGRI Semarang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Physics Public Health Social Sciences Other

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Empowering communities through IoT-enabled fish cultivation in Kembangarum Subdistrict, Semarang City Rizky Muliani Dwi Ujianti; Noora Qotrun Nada; Slamet Budirahardjo; Mohamad Fajarianditya Nugroho; Setyoningsih Wibowo; Mutiara Fitri Rahmaningtyas; Nurul Hidayah; Yanuar Noor Wicaksono; Aldo Kamadi
Community Empowerment Vol 9 No 10 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12337

Abstract

This community service activity aims to improve the welfare of the people of Kembangarum Subdistrict, Semarang, through the development of catfish cultivation based on Internet of Things (IoT) technology. The implementation of the activity includes needs analysis, pond construction, IoT installation, training, and assistance in fish cultivation and post-harvest processing. The results of the activity show an increase in community understanding of IoT technology and its application in catfish cultivation. Additionally, a grant was provided in the form of a catfish pond equipped with an IoT system for real-time water quality monitoring. This activity also successfully improved community skills in processing harvested fish into various products, thus potentially increasing community income. Overall, this community service activity has contributed to the development of the local economy and opened up opportunities for the formation of a thematic catfish village in Kembangarum Subdistrict.
Pengenalan Gestur Bahasa Isyarat Indonesia dengan Mediapipe Keypoints Dewanto, Febrian Murti; Harjanta, Aris Tri Jaka; Nada, Noora Qotrun; Herlambang, Bambang Agus
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 2 (2024): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Difficulty in communication is an obstacle for deaf friends who cannot learn the language orally or acquire normal speech skills. The development of sign language gesture recognition technology is an important step to improve accessibility and social integration for the deaf community. The use of MediaPipe Holistic Keypoints and deep learning techniques provides significant potential in recognizing and understanding sign language gestures. The main objective of this study is to classify Indonesian Sign Language (BISINDO) gestures using MediaPipe Holistic Keypoints and a deep learning approach to identify basic words in sign language. By extracting features using mediapipe holistic and sending them to the LSTM 6 hidden layer model with 70:30 split train test and 250 epochs, an accuracy of 68% was produced. This is due to the limited number of datasets taken for the study.
Penerapan Metode Retrieval-Augmented Generation (RAG) Pada Chatbot E-Commerce Berbasis Gemini Ai Ramadhani, Tarisa; Nada, Noora Qotrun; S, Nugroho Dwi
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 8, No 2 (2025): Juli
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v8i2.384

Abstract

Abstrack: Perkembangan e-commerce yang pesat telah meningkatkan harapan untuk sistem layanan pelanggan yang cerdas dan sadar konteks. Chatbot berbasis aturan tradisional terbukti tidak memadai dalam memenuhi permintaan yang semakin meningkat untuk respons yang akurat, cepat, dan relevan secara kontekstual. Penelitian ini mengusulkan pengembangan sistem chatbot berbasis Gemini AI yang terintegrasi dengan pendekatan Retrieval-Augmented Generation (RAG). Sistem ini mengambil dokumen-dokumen relevan dari basis data internal (katalog produk, kebijakan, riwayat pelanggan) dan menggunakan model LLaMA sebagai generator untuk menghasilkan jawaban yang faktual dan sejalan secara semantis. Dataset yang digunakan mencakup 214 pasangan percakapan yang telah dibersihkan yang bersumber dari Kaggle, diproses menggunakan Sentence-BERT untuk embedding kalimat. Sistem chatbot dievaluasi melalui metrik pengambilan dan generatif. Hasil menunjukkan kinerja tinggi dengan Mean Reciprocal Rank (MRR) sebesar 0,83, Exact Match (EM) sebesar 100%, F1 Score sebesar 82,05%, dan Similarity Semantis sebesar 97,45%, Tingkat kesetiaan 91,67% dan relevansi jawaban 94,21%. Temuan ini menunjukkan bahwa integrasi Gemini AI dengan RAG dapat secara signifikan meningkatkan akurasi, fakta, dan relevansi konteks dari respons chatbot di domain dinamis yang didorong oleh data seperti e-commerce.Kata kunci: chatbot, e-commerce, Gemini AI, Retrieval-Augmented Generation, kesamaan semanticAbstract: The rapid growth of e-commerce has raised expectations for intelligent and context-aware customer service systems. Traditional rule-based chatbots have proven inadequate in meeting the growing demand for accurate, fast, and contextually relevant responses. This research proposes the development of a Gemini AI-based chatbot system integrated with a Retrieval-Augmented Generation (RAG) approach. The system retrieves relevant documents from internal databases (product catalogues, policies, customer histories) and uses the LLaMA model as a generator to produce factual and semantically aligned answers. The dataset used includes 214 cleaned conversation pairs sourced from Kaggle, processed using Sentence-BERT for sentence embedding. The chatbot system is evaluated through retrieval and generative metrics. The results show high performance with a Mean Reciprocal Rank (MRR) of 0.83, an Exact Match (EM) of 100%, an F1 Score of 82.05%, a Semantic Similarity of 97.45%, a Fidelity Rate of 91.67%, and an answer relevance of 94.21%. These findings indicate that the integration of Gemini AI with RAG can significantly improve the accuracy, factuality, and contextual relevance of chatbot responses in dynamic, data-driven domains such as e-commerce.Keywords: chatbots, e-commerce, Gemini AI, Retrieval-Augmented Generation, semantic similarity.
Penerapan Algoritma Random Forest Untuk Prediksi Biaya Kontruksi Berbasis Web Puspitasari, Dui; Nada, Noora Qotrun; Jaka Harjanta, Aris Tri
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 8, No 2 (2025): Juli
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v8i2.385

Abstract

Abstrak: Estimasi biaya proyek konstruksi sangat penting untuk menjamin efektivitas dan ketepatan perencanaan anggaran, kompleksitas proyek dan banyaknya variabel yang terlibat seringkali menyulitkan perusahaan konstruksi dalam menghasilkan estimasi biaya yang akurat. Tujuan dari penelitian ini adalah menggunakan data historis dan algoritma random forest regression untuk memperkirakan biaya proyek bangunan. Karena kapasitasnya untuk mengelola data yang rumit, meminimalkan overfitting, dan meningkatkan akurasi prediksi, pendekatan random forest dipilih. Model Random Forest digunakan untuk mengumpulkan, membersihkan, dan melatih data proyek sebelum dimasukkan ke dalam sistem informasi daring. Hasil pengujian menunjukkan tingkat akurasi model yang tinggi dalam esti masi biaya, tim proyek dan manajemen dapat mengakses data estimasi dengan cepat dan efektif berkat teknologi ini. Secara keseluruhan, penggunaan algoritma random forest dalam sistem berbasis web menawarkan cara yang fleksibel dan tepat untuk mendukung proses estimasi biaya proyek konstruksi.Kata kunci: Konstruksi, Machine Learning, Prediksi, Proyek, Random ForestAbstract: Construction project cost estimation is crucial to ensure the effectiveness and accuracy of budget planning. Project complexity and the numerous variables involved often make it difficult for construction companies to produce accurate cost estimates. The purpose of this study is to use historical data and the random forest regression algorithm to estimate the cost of a building project. Due to its capacity to handle complex data, minimize overfitting, and improve prediction accuracy, the random forest approach was chosen. The random forest model was used to collect, clean, and train project data before being input into an online information system. Test results demonstrated a high level of model accuracy in cost estimation, and project teams and management were able to access the estimated data quickly and effectively thanks to this technology. Overall, the use of the random forest algorithm in a web-based system offers a flexible and appropriate way to support the cost estimation process of construction projectsKeywords: Construction, Machine Learning, Prediction, Project, Random Forest.
PENERAPAN ALGORITMA REGRESI LINIER DAN RANDOM FOREST UNTUK MEMPREDIKSI PENJUALAN DI UCHI PARFUME Falah, Syamsul; Jaka, Aris Tri; Nada, Noora Qotrun
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 3 (2025): EDISI 25
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i3.6464

Abstract

Persaingan yang semakin ketat di sektor ritel parfum memerlukan pengelolaan persediaan dan strategi promosi yang tepat serta terukur. Di Uchi Parfume cabang Bumiayu, proses tersebut masih dilakukan secara manual melalui perkiraan, sehingga berisiko memicu ketidakseimbangan stok dan menurunkan kinerja penjualan. Penelitian ini mengembangkan model prediksi penjualan berbasis data historis untuk memperbaiki ketepatan perencanaan dan mengoptimalkan strategi promosi. Dua algoritma machine learning, yaitu Regresi Linier dan Random Forest, diterapkan dengan metode CRISP-DM yang mencakup tahap pemahaman bisnis, pengolahan data, pemodelan, evaluasi, dan implementasi. Variabel yang dianalisis meliputi bulan, harga, diskon, varian parfum, metode pembelian, dan lokasi cabang. Hasil evaluasi berdasarkan metrik MAE, RMSE, MAPE, dan R² menunjukkan bahwa Random Forest memiliki kinerja lebih unggul dibandingkan Regresi Linier, dengan kesalahan prediksi yang lebih rendah dan kemampuan menjelaskan variasi data yang lebih tinggi. Model kemudian diterapkan ke dalam aplikasi berbasis Streamlit, yang memungkinkan pengguna melakukan analisis penjualan dan perencanaan stok secara interaktif. Penelitian ini diharapkan dapat meningkatkan efisiensi operasional Uchi Parfume dalam membuat keputusan yang lebih akurat dan efisien.
Sistem Informasi Manajemen Praktek Kerja Lapangan Dengan Fitur Location Base Service (LBS) Nada, Noora Qotrun
Jurnal Informatika Universitas Pamulang Vol 8 No 3 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i3.33711

Abstract

Permasalahannya adalah belum adanya Sistem Informasi Manajemen Praktek Kerja Lapangan (PKL) pada Program Studi Informatika Universitas PGRI Semarang yang masih menggunakan sistem manual sehingga menyebabkan banyak kesalahan administrasi, kehilangan data dan jalur birokrasi yang panjang dalam setiap pelaksanaan PKL. Tujuan dari penelitian ini adalah membangun Sistem Informasi Manajemen PKL pada Program Studi Informatika Universitas PGRI Semarang dengan menggunakan metode penelitian Research and Development (R&D) dengan metode pengembangan System Development Life Cycle (SDLC) dengan model Iteratif yang merupakan gabungan model Waterfall dan Iterative pada model Prototype. Tahapan awal dari metode ini yaitu tahap Analisis dan Perancangan telah dilakukan pada penelitian pendahuluan yang berjudul Perancangan Sistem Informasi Manajemen Praktek Kerja Lapangan Program Studi Informatika Universitas PGRI Semarang dengan keluaran pemodelan Use Case Diagram, Activity Diagram, Sequence Diagram , Diagram Kelas dan Kamus Data. Pada penelitian ini melanjutkan dua tahap yang tersisa yaitu tahap Implementasi dan Evaluasi. Pada tahap implementasi, peneliti membangun sistem dengan menggunakan bahasa pemrograman PHP, MySQL Database Management System dan Sistem Informasi Manajemen Praktek Kerja Lapangan (PKL) yang terintegrasi dengan Location Based Service (LBS) untuk menentukan lokasi PKL mahasiswa. Selama tahap evaluasi (pengujian), metodologi pengujian black-box digunakan, sehingga semua pengujian dan skenario diterima 100%. Ini berarti sistem Anda bekerja seperti yang diharapkan. Pengujian Kotak Putih Setelah menghitung kompleksitas siklomatik, menentukan jalur independen, dan menjalankan uji nilai untuk menguji uji kode, kita menemukan bahwa kompleksitas siklomatik yang dihasilkan adalah 3. Artinya juga terdapat 3 lintasan independen, dan 3 lintasan nilai lintasan. keluaran yang diharapkan.
Pembelajaran “Projek IPAS” Berbasis STEAM sebagai Kajian Implementasi Kurikulum Merdeka di SMK Hayat, Muhammad Syaipul; Sumarno, Sumarno; Yunus, Mahmud; Nada, Noora Qotrun
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.6005

Abstract

The implementation of the Independent Curriculum in SMK requires science learning to be carried out across disciplines through projects. This study aims to examine the potential and implementation of learning "IPAS project" oriented to the STEAM approach as an implementation of the Merdeka curriculum in SMK. The research was conducted using a survey method with a qualitative descriptive approach involving 48 respondents representing 34 out of 163 vocational schools in Central Java. The instrument used is a questionnaire consisting of three open questions about expectations, obstacles and efforts to overcome them; as well as a five-aspect questionnaire on the profile of teachers' understanding of the application of STEAM-based "IPAS Project" learning in the Merdeka curriculum in SMK. Qualitative descriptive analysis is carried out by data reduction, data display, and conclusion drawing. The results showed that although we have understood aspects of the independent curriculum in learning "IPAS Project", there are still obstacles, especially in the application of the STEAM approach. As for the profile of teachers' understanding of the application of STEAM-based "IPAS project" learning in the Merdeka curriculum in SMK, most teachers already have an understanding of the learning concept of "IPAS project" and in its application have involved many students in the implementation of the Merdeka curriculum. But in understanding the concept of STEAM, most teachers still don't master it well. Likewise, in terms of experience in applying the STEAM approach in "IPAS project", not many teachers have applied it in a structured and systematic manner. Based on this, it is recommended that to reduce the gap in expectations and constraints for vocational teachers, an LMS platform is needed to bridge the implementation of STEAM-based "IPAS Project".
“Branket” Design as a Safe Deposit Box Security System using Arduino-Based Tap Sensor Trikusuma, Arsha Raulnadi; Rizqa, Mona; Wardhana, Dhimas Aria; Nada, Noora Qotrun
Advance Sustainable Science, Engineering and Technology Vol 3, No 1 (2021): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v3i1.8475

Abstract

Safe is a safe place to store valuables or documents. Because they are usually made of strong and hard materials, a safe is a place to store valuables and important documents in the event of a natural disaster or fire. In addition, the safe is also equipped with a locking system so that it can also be used to secure valuables or documents from theft. Usually, safes are used by agencies or companies and the general public who have valuable items or documents. Safe security systems that have been used generally use either a manual lock, a rotary lock, or a digital lock. There are several security system developments in the safe, including using a microcontroller-based password and fingerprint code, a fingerprint sensor and an Arduino UNO-based RF remote control, using a microcontroller via SMS and FSK facilities, and other developments in the safe security system. “Branket” (Tap Safe) is a safe with a smart lock system using a knock pattern. The bracket is composed of several electronic components, mainly a microcontroller, a solenoid lock, and a piezoelectric knock sensor. The workflow for using the bracket begins by pressing the power button to turn on the bracket. Then the user sticks his hand into the small space to store or opens the safe by tapping the sensor according to the pattern. Increased security on the bank account includes a locking system with a secret knock pattern, easy to remember by the owner, faster opening of the safe, and the process of opening the safe is difficult for others to know. It is hoped that “branket” will become a new innovation in a unique locking system that still has a high level of security.
Co-Authors Aldo Kamadi Ari Tri Jaka Harjanta Aris Tri Jaka Harjanta, Aris Tri Aris Tri Joko Harjanto Arsha Raulnadi Trikusuma Bagus Priyatno Bambang Agus Herlambang, Bambang Bayu Kurniawan Bimo Sunarfri Hantono Chadyan Fathurachman Dwijayanti, Alina Indra Sakti Eko Nugroho Fatmawati, Maylia Febrian Murti Dewanto Fitria, Alfina Heri Prabowo Iffah Muflihati, Iffah Jaka, Aris Tri Kayat, Diana Nurul Khoiriya Latifah, Khoiriya Mahmud Yunus Mega Novita Mega Novita Mohamad Fajarianditya Nugroho Muhammad Syaipul Hayat Mukaromah, Nisfiyatul Mustofa, Faizal Gani Mutiara Fitri Rahmaningtyas Nizaruddin Nizaruddin Nurina Happy Nurul Hidayah Puspitasari, Dui Rahmat Sudrajat, Rahmat Ramadhani, Tarisa Rizky Muliani Dwi Ujianti Rizqa, Mona S, Nugroho Dwi Setyoningsih Wibowo Setyoningsih Wibowo Setyoningsih Wibowo2, Setyoningsih Shentika Ayu Wulandari Slamet Budirahardjo Slamet Budirahardjo Sumarno . Sutrisno Sutrisno Syamsul Falah Trikusuma, Arsha Raulnadi Wardhana, Dhimas Aria Wibawa, Bayu Arie Wulandari, Shentika Ayu Yanuar Noor Wicaksono