Universitas Islam Kuantan Singingi: E-Journals
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PELATIHAN PEMBUATAN MINUMAN INSTAN JAHE DAN MANISAN JAHE DI DESA PERSIAPAN SAMBIGANEN, NGRAYUN, PONOROGO
Jahe (Zingiber officinale Rosc.) merupakan komoditas pertanian unggulan Indonesia yang memiliki manfaat kesehatan dan nilai ekonomi tinggi. Namun, pemanfaatannya di tingkat masyarakat masih terbatas pada konsumsi tradisional, sehingga potensi nilai tambahnya belum dimaksimalkan. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pengetahuan dan keterampilan warga Desa Persiapan Sambiganen, Kecamatan Ngrayun, Kabupaten Ponorogo, dalam mengolah jahe menjadi produk bernilai ekonomi seperti minuman instan jahe dan manisan jahe. Metode pengabdian dilakukan melalui beberapa tahapan, yaitu wawancara pra-lapangan untuk memetakan kebutuhan, observasi kondisi produksi rumah tangga, sosialisasi tentang manfaat dan peluang olahan jahe, serta pelatihan praktik langsung mulai dari proses pengolahan, pengemasan, hingga uji rasa produk. Selain itu, peserta juga diperkenalkan strategi pemasaran berbasis website untuk memperluas jangkauan pasar. Hasil kegiatan yang diikuti 25 peserta pada 22 September 2025 menunjukkan peningkatan keterampilan, produksi olahan berdaya simpan tinggi, dan meningkatnya wawasan pemasaran digital. Kegiatan ini berkontribusi pada peningkatan nilai ekonomi jahe serta kesejahteraan masyarakat melalui pemanfaatan potensi loka
PENERAPAN MULTIMEDIA DALAM PENANAMAN NILAI BERBAKTI KEPADA ORANGTUA MELALUI FILM BERBAHASA INGGRIS
Pengabdian kepada masyarakat ini bertujuan untuk menerapkan teknologi multimedia dalam menanamkan nilai berbakti kepada orang tua (birrul walidain) melalui media film berbahasa Inggris di TPQ Nurul Huda Kelurahan Gunung Pangilun Kota Padang. Kegiatan ini muncul sebagai respon terhadap menurunnya kesadaran anak-anak akan pentingnya menghormati dan mencintai orang tua, serta rendahnya minat belajar bahasa Inggris di kalangan santri. Pemanfaatan teknologi multimedia dilakukan melalui tiga tahapan utama: (1) pemutaran film bertema keluarga dan nilai-nilai birrul walidain dalam bahasa Inggris, yang dilengkapi subtitel bahasa Indonesia, menggunakan perangkat audiovisual digital; (2) diskusi interaktif berbasis tampilan multimedia untuk menggali pesan moral, nilai keagamaan, dan ekspresi bahasa asing dari film yang ditonton; serta (3) aktivitas pembelajaran kreatif berbasis komputer seperti bermain peran digital dan tugas multimedia sederhana yang mendukung pemahaman nilai karakter. Kegiatan ini melibatkan 30 santri berusia 07–12 tahun yang dipilih secara acak. Hasil evaluasi menunjukkan bahwa 85% peserta mengalami peningkatan pemahaman terhadap nilai birrul walidain berdasarkan hasil kuesioner pascakegiatan, dan 70% santri menyatakan lebih tertarik mempelajari bahasa Inggris melalui pendekatan multimedia. Kegiatan juga melibatkan orang tua dan pengurus TPQ dalam sesi refleksi berbasis video, menciptakan kolaborasi sinergis antara keluarga, pendidik, dan masyarakat. Hasil dari kegiatan pengabdian ini menunjukkan bahwa penggunaan teknologi multimedia tidak hanya memperkuat nilai-nilai karakter Islam, tetapi juga meningkatkan minat terhadap penguasaan bahasa asing di lingkungan TPQ. Inovasi ini diharapkan dapat menjadi model pengembangan pembelajaran terpadu berbasis nilai dan teknologi di lembaga pendidikan Islam serupa
TRANSFORMASI PERTANIAN BERKELANJUTAN MELALUI SMART HYDROPONIC FARMING DAN GREEN ENERGY DI DESA KEDUNGCINO KABUPATEN JEPARA
Smart farming merupakan pendekatan pertanian modern yang mengintegrasikan teknologi digital, Internet of Things (IoT), otomatisasi, serta energi terbarukan untuk meningkatkan produktivitas dan efisiensi pengelolaan lahan. Transformasi ini menjadi sangat penting mengingat tantangan sektor pertanian saat ini, seperti perubahan iklim, keterbatasan lahan, fluktuasi harga energi, serta meningkatnya kebutuhan pangan akibat pertumbuhan penduduk. Oemahku hydrofarm menghadapi masalah kesulitan monitoring suhu, kelembaban dan nutrisi serta minimnya pasokan listrik saat memproduksi selada hidroponik. Kegiatan ini bertujuan mengembangkan model implementasi smart farming terpadu yang mampu menjawab permasalahan tersebut melalui pengembangan sistem monitoring lingkungan, manajemen nutrisi otomatis, dan penggunaan energi surya sebagai sumber daya utama. Metode pengabdian dilakukan melalui perancangan IoT, pemilihan sensor lingkungan (pH, TDS, suhu, kelembaban), integrasi perangkat kontrol berbasis mikrokontroler, serta penyusunan dashboard pemantauan berbasis aplikasi Android. Selain itu, dilakukan evaluasi performa sistem terhadap konsumsi energi, pertumbuhan tanaman, stabilitas nutrisi, serta produktivitas hasil panen selama satu siklus budidaya. Hasil pengabdian menunjukkan bahwa penerapan smart farming mampu menurunkan penggunaan air hingga 38% melalui sistem irigasi presisi, meningkatkan pertumbuhan tanaman sebesar 22% akibat kestabilan nutrisi serta menurunkan ketergantungan terhadap listrik PLN sebesar 65% berkat integrasi photovoltaic. Selain itu, pemantauan real-time melalui IoT terbukti meningkatkan akurasi pengambilan keputusan petani, mengurangi kesalahan manual, dan meningkatkan kontinuitas produksi. Dengan demikian, model smart farming yang dikembangkan dalam pengabdian ini terbukti efektif, efisien, dan relevan untuk diterapkan pada sistem pertanian modern, khususnya bagi pelaku UMKM pertanian yang membutuhkan solusi adaptif dan berkelanjutan
PEMBINAAN DAN PENGEMBANGAN ORGANISAS SISWA SMAN 1 KUANTAN HILIR SEBERANG KECEMATAN KUANTAN HILIR SEBERANG KABUPATEN KUANTAN SINGINGI
Organisasi adalah kumpulan orang yang bekerja sama untuk mencapai tujuan tertentu. Oraganisasi dapat berupa kelompok, bisnis, atau tindakan tertentu. Organisasi Siswa intra Sekolah (OSIS) adalah wadah bagi siswa untuk berkontribusi disekolah. Organisasi sekolah meliputi Organisasi Siswa Intra Sekolah (OSIS), organisasi ekstrakurikuler seperti Pramuka, Paskibra, Palang Merah Remaja (PMR), Patroli Keamanan Sekolah (PKS), dan Kelompok Pecinta Alam (PA), serta organisasi lain seperti UKS, Koperasi Siswa, dan Kelompok Karya Ilmiah. Organisasi-organisasi ini bertujuan untuk mengembangkan potensi, keterampilan, dan rasa kekeluargaan antar siswaPersoalan yang terjadi dapat diindetifikasi, lemahnya dan tebatasnya kapasitas Sumber Daya siswa yang mampu mengelola dan manajemen Organisasi Siswa untuk peningkatan SDM siswa/siswi dan menjadi wacana dan pemikiran sekolah agar lebih maju. Hal terpenting dalam mengelola organisasi adalah peningkatan kualitas organisasi, karena perlunya Pembinaan dan pengembangan untuk merealisasikan ide-ide dan meningkatkan kualitas organisasi siswa yang lebih efektif dan efisien. Peningkatan kapasitas SDM (kemampuan dan keahlian) dapat diadakan pelaksanaan Pembinaan dan Pengembangan untuk Anggota Organisasi Siswa Intra Sekolah yang bekerjasama dengan pihak Sekolah.SDM terintegrasi (Integrated Human Resources Management/IHRM) berbasis kompetensi menjadi pilihan yang paling tepat untuk mengelola sumber daya Anggota Organisasi Siswa Intra Sekolah supaya dapat mencapai tujuan organisasi secara efektif dan efisien.Pengabdian ini yang dilakukan bertujuan untuk Pembinaan dan pengembangan dalam Organisasi Siswa SMA Negeri 1 Kuantan Hilir Seberang,. Subjek Pengabdian yaitu Pembina dan Pengurus Organisasi siswa. Fokus Pengabdian adalah Pembinaan dan pengembangan program kerja Organisasi Siswa berdasarkan 10 pokok kegiatan pembinaan kesiswaan. Sehingga melalui studi dokumen, wawancara, dan kuesioner diperoleh data pelaksanaan kegiatan OSIS dalam pembentukan karakter siswa di SMA Negeri 1 Kuantan Hilir Seberang. Hasil Pengadian diharapakan menunjukkan peran Organisasi Siswa dalam pengembangan Organisasi yang lebih baik kedepannya dan bermanfaat bagi SMAN 1 Kuantan Hilir Seberang
The Urgency Of Waqf For Development Of Sharia In Economic Sectors “Comparative Study”
Waqf is a form of social worship that has a significant impact on welfare. Waqf continues to be developed to achieve comprehensive benefits. Currently, waqf is a Sharia economic and financial instrument that exerts a significant influence on the development of the Islamic economy. This paper attempts to uncover the potential of waqf in the economic sector by formulating the following questions: first, What is the perspective of contemporary scholars on contemporary waqf? Second, how contemporary waqf applications in the real economic sector? The method used is qualitative, utilizing a literature review. Among the findings of this paper are the unique benefits of waqf in various aspects of our lives. Furthermore, waqf has now become an Islamic economic instrument developed in various economic sectors
Strengthening the Sharia Economic Ecosystem Through Technology Innovation Based on Maqashid Sharia
Amid the rapid global digitalization, the Islamic economy faces an epistemic paradox: technology is advancing rapidly, yet maqāṣid as an ethical and normative framework has not fully guided the direction of its innovation. Although various digital platforms such as fintech, blockchain, and artificial intelligence have been adopted in the Islamic financial system, there is still no conceptual framework that systematically integrates maqāṣid principles into the design and implementation of technology. This absence creates an ethical void and a risk of directional disorientation in the development of the digital sharia economy ecosystem. This article aims to formulate an integrative maqāṣid-tech framework as an ethical and strategic foundation for strengthening the Islamic economy ecosystem in the era of digital innovation. With a reflective qualitative approach based on literature study, this article examines the potential synergy between maqāṣid values (protection of wealth, life, intellect, and others) and digital transformation in the context of Sharia transactions, management of zakat and waqf, and the expansion of inclusive finance. The study results show that technological innovation, if designed within the framework of maqāṣid, not only addresses the challenges of Sharia compliance but also strengthens public trust, system efficiency, and the sustainability of the Sharia economy. This article proposes the Maqāṣid-Tech Model as a transformative framework for building an Islamic economic ecosystem that is not only digitally adaptive but also deeply rooted in the values of maslahat and justice
Community Perspectives on Formation of Framework to Empower Mosque and Waqf land in Revitalizing Local Town
This study explores the level of community awareness and perspectives on empowering mosque and waqf land for local town development, aligned with the Madani City Concept, which aims to revitalize towns through mosque and waqf land empowerment. The objectives are threefold: to identify factors to empower mosque and waqf land, analyze its potential in driving local economic growth, and develop a strategic framework in revitalizing local town. A total of 118 respondents were involved in a structured questionnaire survey designed to gauge public views on the significance, potential, and socio-economic implications of mosque and waqf land development. Using a quantitative approach, data analysis was conducted through descriptive statistics using Statistical Package for the Social Sciences (SPSS) and cross-tabulation to uncover patterns and correlations between demographic variables and awareness levels. The findings demonstrate widespread acknowledgment of the importance of mosque and waqf land in economic and social development. However, awareness levels vary across age and income groups. Crosstab analysis indicates that younger individuals (aged 18–29) show lower awareness compared to older groups, who demonstrate higher understanding and stronger support for development initiatives. Likewise, individuals with middle to high income exhibit greater awareness compared to those in lower income. Education level also played a critical role, as respondents with tertiary education were more likely to acknowledge the broader functions of waqf assets beyond religious purposes. These insights underscore the importance of targeted community engagement and educational initiatives to promote waqf development, especially among younger, lower-income, and less-educated groups. The findings offer valuable input for policymakers and stakeholders implementing inclusive urban development strategies rooted in community values and Islamic principles
Implementation of Data Mining in Measuring Student Satisfaction at IAIN Kerinci
Measuring student satisfaction is crucial, especially considering the increasing competition in the field of education along with the advancement of knowledge and technology. It is essential to assess whether the services expected by students align with the services they actually receive. Evaluating student satisfaction can significantly help higher education institutions improve service quality, which in turn may lead to an increase in student enrollment.This study employs a quantitative method using one of the data mining techniques—classification—through the C4.5 algorithm to measure student satisfaction levels. The population of this research includes active students at IAIN Kerinci, with a sample size of 100 respondents. The students serve as the subjects providing evaluations or opinions on variables characterized by Tangibles, Reliability, Responsiveness, Assurance, and Empathy.The data is processed using data mining classification techniques, with testing conducted through RapidMiner software. The results of the analysis and testing indicate that data mining effectively classifies the variables in measuring student satisfaction, generating 10 decision tree rules with an accuracy rate of 98.22%. These resulting rules are expected to serve as a foundation for making informed decisions on actions needed to enhance student satisfaction
Sentiment Analysis of Loudspeaker Regulations in Houses of Worship on Social Media Using Support Vector Machine Algorithm
Social media is an online platform where users can share content or interact with each other through discussions and debates that involve sentiments, such as agreement or disagreement on various topics. User sentiments on social media can be utilized in multiple ways, such as to gauge public opinion regarding the issuance of Circular Letter Number SE 05 of 2022 by the Ministry of Religious Affairs, which provides guidelines for the use of loudspeakers in mosques and prayer rooms. Due to the high volume of comments on social media regarding this circular, a sentiment analysis system is necessary. The sentiment analysis system in this research employs the Support Vector Machine (SVM) algorithm to classify comments as positive or negative. A total of 350 comments were collected from each social media platform—Facebook, Twitter, YouTube, and Instagram—about the issuance of the circular. These comments were divided into 250 for training data and 100 for testing data on each platform. The training data from all platforms were combined, resulting in a total of 1000 training data. Based on system testing using the Support Vector Machine algorithm, the accuracy achieved was 72%. This result reflects the system's capability to analyze sentiments related to the guidelines for using loudspeakers in mosques and prayer rooms as stated in the circula
Optimization of Random Forest Model with SMOTE for Fetal Health Classification Based on Cardiotocography
Fetal health during pregnancy is a crucial aspect in ensuring the optimal growth and development of a child, particularly during the golden period of life from the womb to the age of two. In the medical field, monitoring fetal conditions is vital to detect potential risks as early as possible. One of the tools commonly used in this process is cardiotocography (CTG), which provides essential data on fetal heart activity and movement. With technological advancements, machine learning-based approaches are increasingly being utilized to process CTG data more effectively. However, a major challenge in classifying medical data such as CTG lies in class imbalance, where the distribution between majority and minority classes is uneven. This study evaluates the effectiveness of the Synthetic Minority Over-sampling Technique (SMOTE) in addressing this imbalance and assesses the performance of the Random Forest algorithm in classifying fetal health conditions. The results show that the combination of SMOTE and Random Forest achieves the best performance compared to other methods, with an accuracy of 94.40%, precision of 94.45%, recall of 94.40%, and an F1-score of 94.38%. These findings indicate that SMOTE is effective in improving the representation of minority classes, while Random Forest demonstrates superior and consistent classification performance on CTG dat