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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Semantik TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Speed - Sentra Penelitian Engineering dan Edukasi Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Jurnal DISPROTEK Kumawula: Jurnal Pengabdian Kepada Masyarakat Journal of Information Systems and Informatics Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian kepada Masyarakat Nusantara Daengku: Journal of Humanities and Social Sciences Innovation Journal of Multimedia Trend and Technology Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal Emerging Technologies in Education
Arief Hidayat
Universitas Wahid Hasyim
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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SOSIALISASI PENGEMBANGAN WISATA RELIGI SYEKH MAULANA MANGUN SEJATI DALAM MENINGKATKAN DAYA TARIK WISATAWAN BERBASIS BUDAYA KEARIFAN LOKAL Irhamni, Muhammad Ricza; Astuti, Wulan Budi; Hidayat, Arief; Nadik, Jeni; Afnizar, Ikmal; Najla, Nadira Hulwatun
Kumawula: Jurnal Pengabdian Kepada Masyarakat Vol 8, No 3 (2025): Kumawula: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kumawula.v8i3.59103

Abstract

Spiritual tourism is part of the tourism sector that seeks to fulfill human spiritual needs and attracts many people because of the community's richness and deep cultural strength. One of the greatest potentials is spiritual tourism in the Sheikh Maulana Mangun Sejati area, which has been developed as a religious destination based on local values to support the local community's economy. At the socialization stage, several important steps were taken, namely: first, training was conducted to prepare the tourism area; second, socialization and briefing on the use of digital financial records; third, the use of technology, including the construction of an official website and the implementation of training. The existence of strong local traditions confirms that the development of religious tourism must always be based on local cultural values as a guarantee of authenticity and its connection to the identity of the local community. To ensure the success of the religious tourism destination development strategy, it is necessary to prioritize the main attraction as the central point of tourist visits. Tourism area preparation training is useful for improving products in the form of an official website and the digital delivery of information. Human resource management applied in the training is also useful for providing skills in tourism management, by involving IPNU-IPPNU Kedung Sub-district to participate in tourism management. Wisata spiritual merupakan bagian dari sektor pariwisata yang berupaya memenuhi kebutuhan rohani manusia dan menarik minati banyak orang karena kekayaan budaya yang dalam dan kekuatan dalam masyarakatnya. Salah satu potensi terbesar adalah wisata spiritual di kawasan Syekh Maulana Mangun Sejati yang dikembangkan sebagai destinasi religius berlandaskan nilai-nilai lokal untuk mendukung perekonomian komunitas setempatnya.  Pada tahapan sosialisasi dilakukan beberapa langkah penting: pertama-tama dilaksanakan pelatihan persiapkan kawasan pariwisata; kedua adalah sosialisasi dan pembekalan penggunaan pencatatan keuangan digital; ketiga adalah penggunaan teknologi meliputi pembangunan situs web resmi dan pelaksaanaan pelatihan. Keberadaan tradisi lokal yang kuat menegaskan bahwa pengembangan pariwisata religius harus senantiasa berdasarkan nilai-nilai budaya lokal sebagai jaminan keautentikan dan keterkaitannya dengan jati diri masyarakat setempat. Untuk memastikan strategi pengembangan destinasi wisata religius yang sukses perlu didahulukan atraksi utama sebagai pusat kunjungan utama para wisatawan. Pelatihan penyiapan kawasan wisata bermanfaat dalam meningkatkan produk berupa website official, dan menyampaikan informasi secara digital. Pengelolaan sumber daya manusia yang telah dilaksanakan dalam pelatihan juga bermanfaat untuk memberikan bekal keterampilan dalam manajemen pariwisata, dengan melibatkan IPNU-IPPNU Kecamatan Kedung untuk berpartisipasi dalam pengelolaan pariwisata. Pelatihan promosi menggunakan media massa memberikan manfaat pengenalan wisata religi Syekh Maulana Mangun Sejati secara lebih luas, serta pembuatan produk cinderamata dapat meningkatkan esensi makam Syekh Maulana Mangun Sejati.
Sistem Informasi Inventaris Berbasis Web Pada Laboratorium Komputer Teknik Informatika Universitas Wahid Hasyim Semarang Faisal, Ahmad; Hidayat, Arief
Prosiding Seminar Nasional Sains dan Teknologi Vol. 15 No. 1 (2025): Prosiding SNST 15 Tahun 2025
Publisher : Fakultas Teknik Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/psnst.v15i1.14771

Abstract

Perkembangan teknologi sistem informasi yang sangat pesat telah memberikan kemajuan manusia dalam beragam aspek kehidupan. Salah satu dari perkembangan tersebut adalah dalam bidang pendidikan. Dalam dunia pendidikan, teknologi sistem informasi sangat dibutuhkan sebagai penunjang kegiatan akademik maupun non-akademik. Salah satu pemanfaatan teknologi sistem informasi dalam bidang pendidikan adalah pada proses inventarisasi barang-barang laboratorium. Teknik Informatika adalah salah satu program studi di Universitas Wahid Hasyim yang mempunyai tiga laboratorium yang mana memiliki banyak barang untuk diinventarisasikan. Namun proses inventarisasi barang-barang yang ada di laboratorium masih menggunakan aplikasi spreadsheet. Selain itu, proses pendataan mutasi barang belum terdata dengan baik dan proses pengelolaan transaksi peminjaman barang dan transaksi pengembalian barang inventaris masih dilakukan secara tertulis menggunakan buku. Hal tersebut menyebabkan pengelolaan data inventaris tidak terorganisir secara baik, banyak data yang tidak bisa dilacak keberadaannya dan statusnya. Disamping itu, untuk pembuatan laporan tidak bisa secara cepat tersajikan ketika dibutuhkan. Berdasarkan uraian latar belakang tersebut, maka dibuatlah sebuah rancang bangun sistem informasi inventaris berbasis web yang menggunakan metode pengembangan waterfall dan bahasa pemrogaman PHP dengan framework laravel serta Mysql sebagai databasenya. Hasil dari sistem informasi inventaris yang dibuat yaitu dapat memudahkan petugas laboran dalam mengelola data barang dan transaksi peminjaman maupun pengembalian barang inventaris di laboratorium komputer Teknik Informatika. Kata kunci: Inventaris, Laravel, PHP, Sistem Informasi
Pemanfaatan Novel Dan Film Dalam Membangun Kesadaran Sejarah Guru dan Siswa di MAN 19 Jakarta Irawan, Hendi; Bagaskara, Faishal Sultan; Hidayat, Arief; Rahmadi, Darmawan
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 1 (2026): Edisi Januari - April
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v7i1.8295

Abstract

Pembelajaran sejarah dinilai sangat membosankan dikarenakan metode pengajaran yang terlalu monoton di mana guru belum memaksimalkan alternatif media pembelajaran yang efektif. Kondisi ini terjadi dalam kegiatan belajar mengajar pada mata pelajaran sejarah di MAN 19 Jakarta. Berangkat dari situasi tersebut diperlukan penyelesaian masalah yaitu melalui kegiatan sosialiasi yang ditargetkan kepada guru dan siswa untuk memperkenalkan media baru dalam pembelajaran sejarah. Dalam sosialisai ini kami menjadikan Novel dan Film sejarah sebagai wadah baru bagi guru untuk menghadirkan kesadaran sejarah kepada peserta didik. Pelaksanaan pengabdian ini kami aplikasikan melalui kegiatan seminar dan pengisian angket kepada guru dan siswa. Melalui kegiatan ini kami menemukan peningkatan yang signifikan di mana kesadaran sejarah peserta didik mulai terbangun yang ditunjukkan melalui sikap rasa keingintahuan yang tinggi dan gairah dalam menambah literasi sejarah tidak hanya dari buku modul sejarah.
Predicting Student Academic Success Using Machine Learning Models: A Learning Analytics Approach in Higher Education Arief Hidayat; Swasti Maharani; Dendi Pratama; Ramadiani Ramadiani; S Sujito; Addy Septyawan; Dian Wardiana Sjuchro
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4881

Abstract

Rapid deployment of digital learning technologies in the higher education sector has created immense amounts of educational data that could be leveraged to enhance student success and institutional effectiveness. Nevertheless, student dropout, poor academic performance, and lack of retention continue to plague universities across the world. In most cases, identification of academically struggling students is often late since existing models are largely reactive. Therefore, there is need for development of advanced learning analytics models that are able to forecast student performance in higher education institutions. The current study seeks to create an artificial neural network (ANN)-based learning analytics framework to predict student success in higher education institutions. A predictive analytical approach based on quantitatively evaluating a sample of 1,000 undergraduate students was used in the current study. Various attributes used to evaluate the students included demographic information, academic performance, LMS activity, and learning behaviors. Learning analytics indicators used in the model included previous GPA, attendance rate, assignment completion rate, quiz scores, logins per week, learning hours per week, discussion engagement, engagement index, interaction scores, and learning consistency. In the analysis, the model was validated and tested against accuracy, precision, recall, F1-score, ROC-AUC, confusion matrix, and cross validation tests. Results showed that accuracy, precision, recall, F1-Score, and ROC-AUC of the ANN model were 92.8%, 91.4%, 93.7%, 92.5%, and 0.96, respectively. Based on these outcomes, previous GPA, attendance rate, assignment completion rate, and various engagement indicators were found to be the strongest predictors of student success in college. On the theoretical front, contributions of this study include AI-assisted student performance and behavior prediction. Practically, a sophisticated warning system was developed in this study to assist in effective academic advisement and planning for student retention and academic improvement strategies.
Modeling Student Learning Profiles from LMS Behavioral Traces Using Big Data Analytics Arief Hidayat; Kusworo Adi; Bayu Surarso
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1588

Abstract

Digital learning environments and Learning Management Systems (LMSs) generate large volumes of time-stamped behavioral traces that can be used to examine how students access resources, navigate course structures, communicate, and approach assessments. Traditional learning-style models often depend on static self-report categories and may not reflect how students actually study in digital courses. This study develops a learning analytics framework for modeling student learning profiles from authentic LMS behavioral traces. The study used a quantitative, non-experimental, longitudinal design based on Canvas LMS interaction data from 15,342 undergraduate students enrolled in 150 large-enrollment courses during the 2023–2024 academic year. More than 500 million raw interaction logs were processed into 24 engineered behavioral features representing temporal engagement, resource access, navigation behavior, interaction activity, and assessment timing. After feature normalization, K-Means clustering was applied, and the optimal cluster solution was selected using the elbow method and average silhouette score. Cluster distinctiveness was examined using one-way analysis of variance, and the association between cluster membership and academic performance category was evaluated using a Chi-squared test. The analysis supported a four-cluster solution. Assessment procrastination and navigation sequentially were the strongest differentiating features.
Peningkatan Kapasitas Koperasi Pondok Pesantren Se-Kabupaten Kudus, Melalui Sistem Akuntansi Berbasis Open Source untuk Meningkatkan Akuntabilitas Publik: Pengabdian Arief Hidayat; Sri Retnoningsih; Puja Pratama; Sabrina Syafa
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4720

Abstract

Islamic Boarding School Cooperatives (Kopontren) operating in Islamic Boarding Schools often face challenges in financial management. Furthermore, public accountability is crucial in this regard, given that the growth of the cooperative movement within Islamic boarding schools is a manifestation of the concepts of mutual assistance (ta'awun), brotherhood (ukhuwah), seeking knowledge (tholabul ilmi), and various other aspects. The purpose of this Community Service Activity is to improve financial management capabilities through the use of an Open Source Accounting System. Furthermore, transparency in financial reports produced by Kopontren is necessary to increase accountability. The method used in this community service activity is service learning. The results of this activity reflect its positive contribution in supporting the sustainable growth of Kopontren and increasing public accountability. This also empowers Kopontren owners to manage their cooperatives more effectively.
Artificial Intelligence in Personalized Learning: Enhancing Student Engagement through Adaptive Learning Systems Arief Hidayat; Maryana Maryana; Rustiyana Rustiyana; Triyugo Winarko
Journal Emerging Technologies in Education Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i4.2508

Abstract

Background. Advancements in artificial intelligence (AI) have transformed educational practices by enabling personalized learning experiences that adapt to individual student needs. Traditional instructional methods often fail to accommodate diverse learning paces, preferences, and competencies, leading to disengagement and suboptimal learning outcomes. Purpose. This study investigates the effectiveness of AI-based adaptive learning systems in promoting personalized learning and increasing student engagement across multiple educational contexts.   Method. A mixed-methods research design was employed, combining quantitative analysis of engagement metrics and academic performance with qualitative exploration through student interviews and teacher observations. Results. Results indicated significant improvements in engagement, motivation, and learning outcomes, with adaptive feedback and personalized content contributing to sustained participation and deeper comprehension. Students reported higher satisfaction and perceived control over their learning processes, while educators noted more efficient monitoring and instructional planning. Conclusion. The study concludes that integrating AI into personalized learning systems can substantially enhance engagement and academic performance.
IMPLEMENTATION OF SPEECH RECOGNITION FOR SENTIMENT ANALYSIS WITH A VOICE-TO-VOICE PIPELINE USING THE PROTOTYPE METHOD Ummu Khuzaifah; Akhmad Pandhu Wijaya; Arief Hidayat
Jurnal Disprotek Vol. 17 N0. 2 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v172.10089

Abstract

Human–computer interaction is increasingly evolving toward more natural and efficient voice-based communication. However, most voice assistant systems still separate speech recognition from users’ emotional analysis, resulting in less adaptive interactions. This study aims to design and implement an integrated speech recognition system that combines Speech-to-Text (STT), Support Vector Machine (SVM)-based sentiment analysis, and Text-to-Speech (TTS) within a unified voice-to-voice pipeline. The system was developed using the prototype method to ensure stable and iterative integration among the modules. The STT module utilizes the Google Web Speech API for speech transcription, while sentiment classification employs the SVM algorithm supported by preprocessing stages, including text normalization and spelling correction. The results show that the system operates in real time with a stable response time ranging from 0.6 to 0.9 seconds. Evaluation of the STT module using the Word Error Rate (WER) metric demonstrated optimal performance, achieving a WER of 0 on the test data. In sentiment analysis testing, the prototype method significantly improved system accuracy from 56.00% in the initial prototype to 85.33% in the final prototype through the addition of training data and model refinement. The integration of the three components using the Flask framework resulted in a virtual assistant capable not only of converting speech into text but also of responding adaptively to users’ sentiments through voice. In conclusion, integrating STT, SVM, and TTS into a unified pipeline effectively improves the quality of voice interaction, enabling more communicative and adaptive human–computer interaction.
Co-Authors Addy Septyawan Afnizar, Ikmal Afu'ah Afu'ah Ahmad Asif Saifullah Ahmad Faisal Akhmad Pandhu Wijaya, Akhmad Pandhu Aris Sugiharto Aulia Apriliani Akhadun Bagaskara, Faishal Sultan Bayu Surarso Bayu Surarso Dendi Pratama Dian Wardiana Sjuchro Dina Sri Lestari Fatimatul Ulya Heni Ismiyati Henry Anggoro Djohan Iis Wahyuni Irawan, Hendi Irfan Santiko Irhamni, Muhammad Ricza Izzatul Maghfiroh Kusworo Adi Maryana Maryana, Maryana Mery Kharismawati Migunani Migunani Mohamad Firdaus, Mohamad Nadik, Jeni Najla, Nadira Hulwatun Prasad Wirawan, Prasad Puja Pratama Rahmadi, Darmawan Ramadiani - Rohman, Muhamad Nur Rudi Hermawan Rudy Hartadi Rudy Hartadi Rustiyana, Rustiyana S Sujito Sabo, Gan Sabrina Syafa Siti Maghfiroh Sri Retnoningsih Swasti Maharani Triyugo Winarko Ummu Khuzaifah Umy Mukhofifah Umy Mukhofifah Victor Gayuh Utomo Wulan Budi Astuti Zuhrof Karima Hamidah