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RANCANG BANGUN APLIKASI EVENTREE: LAYANAN MANAJEMEN PEMESANAN TIKET BERBASIS WEBSITE p, Muhammad Restu; Wafaa, Rifig Al; Ma'ruf, Ahmad; Sibyan, Hidayatus
CATHA SAINTIFICA Vol 1 No 1 (2023): November 2023
Publisher : Sentra Kekayaan Intelektual dan Inovasi Teknologi (INOTEK) Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/cathasaintifica.v1i1.6124

Penelitian ini bertujuan untuk merancang dan membangun aplikasi layanan manajemen pemesanan tiket event berbasis website dengan menggunakan metode pengembangan sistem model waterfall. Dalam mencapai tujuan tersebut, penelitian melibatkan analisis kebutuhan sistem, perancangan struktur aplikasi, implementasi, serta uji coba sistem. Metode waterfall digunakan sebagai pendekatan terstruktur untuk mengelola proses pengembangan. Hasil penelitian menunjukkan bahwa pendekatan ini memberikan keterstrukturan yang jelas dalam tahapan analisis, desain, implementasi, dan pengujian, yang mendukung perencanaan yang matang dan pengendalian risiko yang efektif. Penelitian ini diharapkan dapat menjadi panduan bagi pengembang dan penyelenggara acara dalam memanfaatkan teknologi untuk meningkatkan pengalaman pemesanan tiket dan manajemen acara secara keseluruhan.

Expert System for Diagnosing Red Bean Plant Disease using Naïve Bayes Method Mu'iz, Ngivanul; Sibyan, Hidayatus; Mahmudati, Rina
CATHA SAINTIFICA Vol 3 No 1 (2025): May 2025 Article-in-Press
Publisher : Sentra Kekayaan Intelektual dan Inovasi Teknologi (INOTEK) Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/cathasaintifica.v3i1.8824

Innovation in the development of various kinds of technology in various fields and fast sources of information, the use of these developments is used to overcome various challenges that arise, including in the field of agriculture. The main factor of problems that are often faced by farmers is in identifying diseases such as in plants including kidney bean plants, the main cause of the problem is the lack of knowledge about the disease, the absence of an expert in the field, and there is no expert system for diagnosing kidney bean plant diseases. The naïve bayes method is a method of calculation to determine a possibility, The implementation of the naïve bayes method in this expert system is carried out to determine the diagnosis of kidney bean disease based on kidney bean information, such as symptom data and emerging disease data. Determining the diagnosis of a disease from the calculation of the naïve Bayes method is based on the highest probability of disease diagnosis. Building an expert system for diagnosing diseases of red beans based on websites is used to assist farmers in diagnosing diseases and finding solutions based on the symptoms that arise. The results of this expert system test, taken from the system test on experts, obtained an accuracy score of 90%. This research produces efficient and easily accessible digital tools, which play a role in supporting food security and increasing farmers' productivity through a faster and more accurate disease diagnosis process.

PRODUCT SALES PREDICTION SYSTEM AT REX COMPUTER STORE USING WEBSITE-BASED SINGLE EXPONENTIAL SMOOTHING METHOD Rizqi Kafa Muntaqa; Sibyan, Hidayatus; Dimas Prasetyo Utomo
Clean Energy and Smart Technology Vol. 3 No. 2 (2025): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v3i2.136

Estimating or predicting the amount of sales is one of the factors that determines whether a company's business is running well or not. The problem faced by Rex Computer is that it cannot predict product sales in the future with current sales data, so customers may run out of stock when they want to buy the items they want. This study aims to create a system that is able to predict sales and determine the level of accuracy of the system. This study will implement the single exponential smoothing method, which is one of the prediction algorithms. The method used is an interview with Rex Computer employees regarding product sales and sales data is obtained. As well as conducting a literature study to find data from various literatures about predictions using the single exponential smoothing method. This study produces a website-based prediction system that can predict with results for product sales in the USB Wifi category with an alpha value of 0.1, namely the prediction results of 6-7 products, MAD = 2.11, MSE = 8.16, RMSE = 2.85560831906761, MAPE = 18.52, and accuracy = 81%,

APLIKASI PEMBELAJARAN TAJWID BERBASIS SPEECH RECOGNITION MENGGUNAKAN METODE CNN-LSTM Awaludin, Elfan Rizqi; Sibyan, Hidayatus; Hasanah, Nur
Biner : Jurnal Ilmiah Informatika dan Komputer Vol 4 No 2 (2025): Juli
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/biner.v4i2.9998

Penelitian ini bertujuan untuk membangun sistem deteksi bacaan tajwid dengan menggunakan pendekatan deep learning berbasis speech recognition dengan arsitektur Convolutional Neural Network dan Long Short-Term Memory (CNN-LSTM). Sistem ini dirancang untuk mendeteksi apakah bacaan yang dilakukan pengguna termasuk "benar" atau "salah" berdasarkan karakteristik fitur suara yang diperoleh melalui ekstraksi Mel-Frequency Cepstral Coefficients (MFCC). Dataset yang digunakan terdiri dari lebih dari 350 file audio bacaan ayat pendek, kemudian diperluas menjadi 700 dataset melalui teknik augmentasi dan denoise untuk meningkatkan variasi dan kualitas data. Model CNN-LSTM dilatih menggunakan data MFCC berdimensi tetap dan dievaluasi berdasarkan tingkat akurasi serta confusion matrix pada data validasi. Hasil penelitian menunjukkan bahwa model memiliki performa yang baik dalam mengklasifikasikan bacaan dengan tingkat akurasi yang cukup baik. Evaluasi menggunakan uji model memberikan hasil akurasi pelatihan sebesar 90,83% dan akurasi validasi sebesar 77,78% yang bisa dibilang cukup akurat. Sistem ini diintegrasikan ke dalam aplikasi berbasis Flask dan Flutter, sehingga pengguna dapat mendapatkan hasil klasifikasi secara real-time. Diharapkan penelitian ini dapat menjadi kontribusi dalam pengembangan media pembelajaran Al-Qur'an yang adaptif dan berbasis teknologi suara.

Optimizing supervised learning model for thermal comfort and air quality Sibyan, Hidayatus; Hermawan, Hermawan; Nurhidayati, Ely
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i3.pp1795-1806

Thermal comfort and indoor air quality are essential factors that directly influence occupants’ health and activity efficiency. Ensuring optimal thermal conditions also supports energy-efficient buildings by preventing energy waste. Machine learning models have been extensively applied to classify thermal comfort and air quality, with supervised learning algorithms such as support vector machine (SVM) and K-nearest neighbor (KNN) showing high accuracy. However, no prior study has compared or combined these two models for simultaneous prediction of thermal comfort and air quality, especially in diverse geographical settings. This study aims to develop and compare SVM and KNN to determine the most accurate model for enhancing thermal comfort and air quality in highland and lowland Islamic boarding schools. Using a quantitative approach, we collected datasets from schools in Wonosobo (highland) and Pontianak (lowland). The results show that KNN outperforms SVM in accuracy, precision, and F1-score. Additionally, a hybrid model integrating both algorithms further improves accuracy, achieving 91%. These findings highlight the effectiveness of machine learning in optimizing environmental conditions in educational settings.

PENINGKATAN PENJUALAN BATIK WONOSOBO MELALUI PENERAPAN TEKNOLOGI PEMASARAN ONLINE BERBASIS ANDROID Astuti, Erna Dwi; Hidayat, Muslim; Hartiyah, Sri; Sibyan, Hidayatus; Wirayuda, Reynal Dista; Pratama, Tegar Rafi
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol 12 No 1 (2025): Januari
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ppkm.v12i1.7998

Sentra UMKM perajin batik Lipursari Wonosobo, khususnya UMKM Batik Abidin, mengalami penurunan penjualan yang signifikan akibat pandemi COVID-19. Sebelum pandemi, penjualan mencapai 450 potong per bulan, namun kini menurun hingga 76%. Kegiatan Pengabdian ini bertujuan untuk mengembangkan aplikasi pemasaran berbasis android yang dapat meningkatkan manajemen data dan penjualan. Metode yang digunakan mencakup survei, pelatihan manajemen keuangan, pemanfaatan teknologi informasi, serta pembuatan dan pendampingan penggunaan aplikasi toko online. Hasil pelaksanaan program menunjukkan bahwa kegiatan ini berhasil memberikan pelatihan dan mendukung pengelolaan keuangan yang lebih baik serta memperluas akses pasar melalui pemasaran online. Dengan penggunaan aplikasi, diharapkan penjualan batik dapat meningkat secara signifikan dan berkelanjutan. Rekomendasi mencakup pemanfaatan perangkat lunak untuk pencatatan transaksi dan evaluasi keuangan secara rutin

GOLD PRICE PREDICTION SYSTEM USING THE RANDOM FOREST METHOD Kurnia Agung Prastyo; Sibyan, Hidayatus; Nur Hasanah
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

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

Gold is one of the most important commodities, serving as an investment instrument and a hedge against inflation. The high volatility of gold prices demands accurate predictions to support investment decision-making. This study aims to develop a gold price prediction system using the Random Forest method based on machine learning. The dataset used consists of daily gold prices from Yahoo Finance covering the period from 2020 to 2024. The research stages include data collection, preprocessing, model training, evaluation, and implementation into an interactive website. Evaluation results show a MAE of 329.31, MSE of 148,599.40, RMSE of 385.49, and a negative R² value (-1.97), indicating the model is not yet accurate. However, the system can provide a general overview of gold price trends and can be further improved to enhance prediction accuracy.

Eksplorasi Gaya Hidup Terhadap Kesuksesan pada Lansia di Panti Werda Omega Semarang Khabibah, Ummy; Fatin, Salsabilla; Zakia, Nadhifa Rif'aldina; Rahmawati, Putri; Wibisono, Muhammad Athar; Bahrudin, Maulana Azis; Amalia, Annida; Sibyan, Hidayatus; Septiani, Dian Nabila; Hikmah, Siti
Psycho Aksara : Jurnal Psikologi Vol 3 No 2 (2025): Volume 3, Nomor 2, Juli 2025
Publisher : LEMBAGA PENELITIAN DAN PENGABDIAN MASYARAKAT UNIVERSITAS NAHDLATUL ULAMA BLITAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/pyschoaksara.v3i2.1868

Jumlah lansia yang semakin meningkat menuntut perhatian terhadap kualitas hidup mereka. Penelitian ini bertujuan mengekspslorasi gaya hidup dan makna kesuksesan hidup lansia di panti werda omega semarang. Pendekatan yang digunakan menggunakan studi fenomenologis, data dikumpulkan melalui wawancara yang mendalam dengan empat lansia yang dipilih secara purposive. Analisis dilakukan dengan coding tematik. Lansia memiliki refleksi diri, pengendalian emosi, semangat hidup yang tinggi, dan hubungan sosial harmonis. Bagi lansia kesuksesan berisi ketenangan batin, kesehatan, hubungan baik, dan kebahagiaan sederhana.

RANCANG BANGUN APLIKASI EVENTREE: LAYANAN MANAJEMEN PEMESANAN TIKET BERBASIS WEBSITE p, Muhammad Restu; Wafaa, Rifig Al; Ma'ruf, Ahmad; Sibyan, Hidayatus
CATHA SAINTIFICA Vol 1 No 1 (2023): November 2023
Publisher : Sentra Kekayaan Intelektual dan Inovasi Teknologi (INOTEK) Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/cathasaintifica.v1i1.6124

Penelitian ini bertujuan untuk merancang dan membangun aplikasi layanan manajemen pemesanan tiket event berbasis website dengan menggunakan metode pengembangan sistem model waterfall. Dalam mencapai tujuan tersebut, penelitian melibatkan analisis kebutuhan sistem, perancangan struktur aplikasi, implementasi, serta uji coba sistem. Metode waterfall digunakan sebagai pendekatan terstruktur untuk mengelola proses pengembangan. Hasil penelitian menunjukkan bahwa pendekatan ini memberikan keterstrukturan yang jelas dalam tahapan analisis, desain, implementasi, dan pengujian, yang mendukung perencanaan yang matang dan pengendalian risiko yang efektif. Penelitian ini diharapkan dapat menjadi panduan bagi pengembang dan penyelenggara acara dalam memanfaatkan teknologi untuk meningkatkan pengalaman pemesanan tiket dan manajemen acara secara keseluruhan.

IMPLEMENTASI CHATBOT SEBAGAI VIRTUAL ASSISTANT PADA PELAYANAN PUBLIK DAN BANTUAN DI DINAS SOSIAL KABUPATEN WONOSOBO DENGAN METODE TF-IDF Sagita Efendi; Sibyan, Hidayatus; Nur Hasanah
Clean Energy and Smart Technology Vol. 3 No. 1 (2024): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v3i1.103

Information needs are important in public service to give users an initial understanding of the services, the lack of information can make the public service doesn’t work like its function. Based on that reason, a study has been done to create a system that can provides information and assistance on Dinas Sosial PMD at Wonosobo Regency. The study creates chatbot named HADIR bot as a virtual assistant on public services and assistance in Dinas Sosial PMD at Wonosobo regency with TF-IDF method. The goals of this chatbot are to support public service and also virtual assistant that can run 24 hours a day based on the users request or question in chatbot, this chatbot also provides initial description and frequently asked question that often asked to the employees, and provides basic information and document template about list of the assistance. The design of the chatbot uses UML (Unified Modelling Language) like Use Case, Activity Diagram, and Sequence Diagram. This Chatbot created with telegrams features named BotFather, with the function made by Python and text editor uses Visual Studio Code, the chatbot runs in Telegram with TF-IDF method in term weighting and cosine similarity method to evaluate the similarities between document.

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