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All Journal Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Journal of Economic, Management, Accounting and Technology (JEMATech) Jurnal Arsitektur ZONASI Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Ilmu Komputer dan Bisnis JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) DEVICE Journal of Economic, Business and Engineering (JEBE) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Penelitian dan Pengabdian Masyarakat Jotika Journal of Engineering and Informatic SOROT: Jurnal Pengabdian Kepada Masyarakat AMMA : Jurnal Pengabdian Masyarakat MULTIPLE: Journal of Global and Multidisciplinary Journal of Information System and Computer Jurnal Akademik Pengabdian Masyarakat The Indonesian Journal of Computer Science Clean Energy and Smart Technology Catha Saintifica Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Jurnal Pengabdian Masyarakat Nusantara
Hidayatus Sibyan
Universitas Sains Al-Quran
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Sosialisasi dan Pembentukan Pusat Informasi dan Konseling Remaja (PIK-R) Desa Kecis, Selomerto Astuti, Elvina Tri; Wiwid Muzayyanah; Nihaya Zahra Novitasari; M. Katami Usaqil Muna; Hidayatus Sibyan
Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Vol. 1 No. 2 (2023): Juni
Publisher : CV. Nature Creative Innovation

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Abstract: Center for Information and Counseling for Youth (PIK-R) is one of the activities included in the GenRe (Generation Planning) program which was indeed developed by the BKKBN which is managed from, by and for youth/students to provide information and counseling services about age maturity marriage, eight family functions, Triad KRR (Life Skill), advocacy skills and IEC. Socialization activities and the formation of the Youth PIK have the aim of forming and organizing the Youth PIK organization itself and training youth in the village of Kecis to participate in organizational activities, youth can also develop and increase their potential through the PIK-R organization. The method or technique used in this activity is education. The results achieved include the formation of the PIK-R KUSUMA Kecis Village and organizational structure.
Pelatihan Guru di Wonosobo Untuk Mempersiapkan Bebras Challenge 2024 Asnawi, Muhamad Fuat Asnawi; Dian Asmarajati; Muslim Hidayat; Hidayatus Sibyan; Nur Hasanah
Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Vol. 3 No. 1 (2024): Desember
Publisher : CV. Nature Creative Innovation

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Pelatihan guru dalam rangka persiapan Bebras Challenge 2024 bertujuan untuk meningkatkan kemampuan guru dalam memahami dan mengajarkan konsep Computational Thinking (CT) kepada siswa. Program ini dilaksanakan oleh Biro Bebras UNSIQ dan melibatkan 356 peserta dari berbagai jenjang pendidikan di Kabupaten Wonosobo, dengan proporsi terbesar berasal dari jenjang SMP/MTs. Kegiatan ini terdiri dari pelatihan guru, registrasi peserta, dan pelaksanaan kompetisi berbasis daring. Hasil pelatihan menunjukkan bahwa guru tidak hanya mampu bertindak sebagai fasilitator, tetapi juga motivator bagi siswa. Pelaksanaan kompetisi berjalan lancar meskipun terdapat kendala terkait fasilitas teknologi di beberapa sekolah. Secara keseluruhan, kegiatan ini berhasil meningkatkan minat siswa terhadap CT, sekaligus memberikan pengalaman belajar yang kolaboratif dan inovatif. Ke depan, promosi program di jenjang lain dan peningkatan infrastruktur teknologi menjadi prioritas utama untuk memperluas cakupan program.
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

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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

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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

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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

Abstract

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

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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

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Abstract

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.
Perancangan Aplikasi Pembelajaran Tajwid Berbasis Android Menggunakan Metode Extreme Programming Awaludin, Mahmud; Hidayat, Muslim; Asnawi, Muhammad Fuat; Sibyan, Hidayatus
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 2: Agustus 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i2.2022

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Mastering the science of Tajwid is an obligation for every Muslim, as Allah SWT says in the Qur'an, Surah Al-Muzzammil verse 4: "Recite the Qur'an with tarteel." However, in reality, there are still many Muslims who do not understand the science of Tajwid. This is because formal education today does not pay much attention to religious education, and religious-based education is also not very popular with the public. To overcome this, the researcher is motivated to design an Android application to help Muslims learn Tajwid comprehensively. This application is easily accessible to anyone, anytime, and anywhere. The application is designed using the Extreme Programming and Unified Modeling Language (UML) development method as its framework.To ensure that the designed application functions as expected, black-box testing will be performed. 10 test cases have been prepared to test various functions in the proposed application. The test results show that all functions in the application work as expected.Keywords: Android Application Design; Extreme Programming; Undified Modeling Language AbstrakMenguasai ilmu tajwid menjadi kewajiban bagi setiap umat Islam, sebagaimana firman Allah SWT dalam Al-Qur'an Surat Al-Muzzammil ayat 4: "Bacalah Al-Qur'an dengan tartil." Namun kenyataannya masih banyak umat Islam yang belum memahami ilmu tajwid. Hal ini disebabkan karena pendidikan formal saat ini tidak terlalu memperhatikan pembelajaran agama disamping itu pendidikan berbasis agama juga tidak terlalu dilirik oleh masyarakat Untuk mengatasi hal ini, peneliti tergerak merancang sebuah aplikasi Android guna membantu umat Islam mempelajari tajwid secara menyeluruh. Aplikasi ini mudah diakses bagi siapa saja, kapanpun dan dimanapun. Aplikasi ini dirancang dengan menggunakan metode pengembangan Extreme Programming dan Unified Modeling Language (UML) sebagai kerangka kerjanya. Untuk memastikan bahwa aplikasi yang dirancang berfungsi sesuai dengan yang diharapkan, pengujian blackbox akan dilakukan. 10 kasus uji telah disiapkan untuk menguji berbagai fungsi dalam aplikasi yang diusulkan. Hasil pengujian menunjukkan bahwa semua fungsi di dalam aplikasi berjalan sesuai yang diharapkan. 
PENGOLAHAN LIMBAH BONGGOL JAGUNG MENJADI JAMUR KONSUMSI DI DESA JOHO Odhian Wisnu Pratama; Ira ‘Ainu Rohmah; Riski Khasanah; Laili Mukaromah; Dian Ani Aneka Sari; Rezqa Abi Nugroho; Sabar Abidin; Tika Angitania; Vika Angevania; Yurio Dwi El Saputra; Fendi Setiawan; Dzikron Abdullah; Frans Maulana Andika; Hidayatus Sibyan
Jurnal Penelitian dan Pengabdian Masyarakat Jotika Vol. 3 No. 2 (2024): Februari
Publisher : Jotika English and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56445/jppmj.v3i2.135

Abstract

Desa Joho memiliki potensi di bidang pertanian tanaman jagung, jagung adalah tanaman yang diambil bijinya dan menyisakan bonggolnya. Di desa Joho bonggol jagung hanya dijadikan bahan bakar saja padahal bonggol jagung bisa dimanfaatkan dengan tepat dan akan bernilai sangat tinggi dan mengguntungkan masyarakat itu sendiri, pemanfaatannya menjadi media pertumbuhan jamur bonggol jagung. Hasil dari pertumbuhan jamur dapat diolah secara mandiri atau diperjual belikan di pasar- pasar luas, berdasarkan dari permasalahan diatas peneliti berinisiatif mengadakan pendampingan di desa Joho Kecamatan Bawang Kabupaten Banjarnegara dengan tujuan pemanfaatan dan mengadakan kegiatan Pelatihan Pengolahan Pembuatan Jamur Bonggol Jagung. Dan pemanfaatan bonggol jagung sendiri untuk mengurangi limbah hasil pertanian yaitu limbah hasil pertanian jagung. Kegiatan ini juga bertujuan sebagai pengetahuan dasar mengenai pengembangan potensi sumber daya alam yang ada di desa Joho. Harapan dari kegiatan ini sebagai bentuk motivasi agar masyarakat lebih kreatif dalam menciptakan karya dalam bentuk media dan teknik budidaya jamur dengan memanfaatkan limbah dari hasil panen tanaman jagung.
Co-Authors Abdul Adib Aflih Maulana Afrilia Astiana Agustina Mawarni Ahmad Asadul Ma'arif Ahmad Faqih Ahmad Fawwazun Rifqi Ahmad Misbachudin Riyadi Ahmad Panji Hafiidh Ahmad Sahab Ainun Nabila, Shafa Airlangga Bagus Pratama Putra Subandi Al Amali, Diah Alan Yudha Aditama Aldi Bastiatul Fawait Fawait Alfin Muzakki Thoha Alif Muwafiq, M. Amir Fatah Sofyan Angga Wicaksono Anggraeni, Rosmalia Arfina Sa’diyah Arifin, Febi Arini Lutfi Solihah Asnawi, Fuat Asnawi, Muhamad Fuat Asnawi, Muhamad Fuat Asnawi Asnawi, Muhammad Fuat Astuti, Elvina Tri Astuti, Erna Dwi Aulia Insani, Fitri Awaludin, Elfan Rizqi Awaludin, Mahmud Basuki Nur Halim Bayu Pratama, Sandikha Caesar Dwi Kartika Dede Irma Dharmawan, Alan Dhika Maulana Okto Wibowo Dian Ani Aneka Sari Dian Asmarajati dian asmarajati Dian Asmarajati Dimas Prasetyo Utomo Diyan Rifai Dwitya Ilham Kurniadi Dwiyan Nur Santosa Dzikron Abdullah Eka Sefia Lestari Erifatul Khasanah, Rifka Erna Dwi Astuti Erna Dwi Astuti Erna Dwi Astuti Fajar Romadhon Fazira Andra Putri Fendi Setiawan Fitri Nurul Fatimah Frans Maulana Andika Fuat Asnawi, Muhamad Gilang Pratama Haifa Shani Habibatun Nasywa Hani Faturafiqoh Hari Setiawan Hartiyah, Sri Hendriani, Adinda Septi HERMAWAN Hermawan Hermawan hidayat, Muslim Hidayat, Muslim Hidayat, Muslim Ikmal Wirawan, Niko Iman Ahmad Ihsannudin Iman Ahmad Ihsanuddin Indah Lestari, Annisa Ira ‘Ainu Rohmah Irnawati Isna Aulia Septiani Izzatul Fitriani Julia Sarisma Kaila Shafa' Nuha Saffanah Kamal Burhanudin, Muhammad Khafiska Khoerunnisak Khanifatus Solikhah Kheysa Valendria Khoirunnisa Fitriana Khotib Surahman Kiki Rizki Amalia Kurnia Agung Prastyo Laely Nur Wahidah Laili Mukaromah Lasimin LATIFAH Lena Novitasari Lina Fauziah M. Alif Muwafiq Baihaqi M. Fuat Asnawi M. Fuat Asnawi M. Katami Usaqil Muna Ma'ruf, Ahmad Mahmudati, Rina Mardiyantoro, Nahar Marfuah Marfuah Marsa Salsabila, Avila Melly Amalia Mu'iz, Ngivanul Muhamad Farkhan Abidin Muhamad Fuat Asnawi Muhamad Mufid Bachri Muhammad Brilian Kalam Muhammad Danial Fitroh Muhammad Faradhika Prabayu Muhammad Fuadzy Al Khadziq Muhammad Yahya Muslim Hidayat Mustikaning Sholikhah, Meiliana Mu’adz Ibnu Ghofur Nahar Mardiyantoro Nahar Mardiyantoro Nahar Mardiyantoro Nahar Mardiyantoro Naila Mumtazah Nihaya Zahra Novitasari Nukhbatun Nisa Nulngafan Nulngafan Nulngafan Nulngafan Nulngafan Nulngafan Nulngafan Nulngafan Nur Hasanah NUR HASANAH Nur Hasanah Nur Hasanah Nur Hasanah Nur Hasanah Nur Imamul Muttaqien Nur Ishaq Fauzi Nur Jihad Demokrasiyanto Nurhafizha Uswendi, Diva Nurhidayati, Ely Nurul Kharisma Nuryanti Odhian Wisnu Pratama p, Muhammad Restu Panca Wisnu Wardani pawiliyah Pratama Surya Harynto Pratama, Tegar Rafi Putri Milana Putri Uminatul Awalliyah Rafitno, Anaf Rahma Dhara Zafira Rezqa Abi Nugroho Rina Mahmudati Riski Khasanah Rizki Adi Nugroho Rizki Indah Lestari Rizqi Kafa Muntaqa Rizqi Putri Utami Roni Mahendra, Figih Rosida El Rahma Sabar Abidin Sabila Risqi Andriani Safina Maulida Safira Azkiya Putri Sagita Efendi Sahal Mufid Said, Muhammad Arju Saifu Rohman Saifu Rohman Saiful Arin Azhari Salsabila, Mufida Sela, Debi Siti Badriyah Siti Laeli Nuzul Liana Siti Mutoharotul Awaliyah Sukowiyono Sulung Alfianto Akbar SUSI RAHMAWATI Suwondo, Adi Tika Angitania Ucie Soifatul Fauzi Valdivian Aprilisianto Vika Angevania W.A, Bambang Soedijono Wafaa, Rifig Al Wafi Abiyya Achmad, Hifni Wahyu Irawati Wildan Adib Furqon Wirayuda, Reynal Dista Wiwid Muzayyanah Yudhi Fajar Saputra Yurio Dwi El Saputra Zulhilmi Dharma Nugraha