Universitas Islam Kuantan Singingi: E-Journals
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INOVASI PENGOLAHAN SUSU MENJADI CAMILAN SUSU GORENG MENGGUNAKAN MEDIA PEMASARAN WHATSAPP BISNIS DI DESA KEMIRI, KECAMATAN PUSPO, KABUPATEN PASURUAN: PKM
No full textSusu sapi perah merupakan salah satu bahan pangan yang memiliki kandungan gizi lengkap dan penting bagi kesehatan manusia. Masyarakat Desa Kemiri, Kecamatan Puspo, Kabupaten Pasuruan, mayoritas bergantung pada peternakan sapi perah sebagai mata pencaharian utama. Namun, sebagian besar susu yang diproduksi masih dijual dengan harga rendah kepada tengkulak dan dikirim ke Koperasi Unit Desa (KUD), tanpa mengolahnya menjadi produk bernilai tambah. Untuk meningkatkan pendapatan peternak, dilakukan pelatihan pengolahan susu sapi menjadi produk inovatif, yaitu susu goreng, yang memiliki nilai jual lebih tinggi. Kegiatan ini dilakukan dengan metode penyuluhan, pelatihan, dan praktik yang melibatkan 20 peserta, terdiri dari ibu-ibu PKK dan pemuda di Desa Kemiri. Selain itu, diberikan juga sosialisasi mengenai digital marketing menggunakan platform WhatsApp Bisnis untuk memasarkan produk susu goreng. Hasil dari kegiatan ini menunjukkan bahwa masyarakat sangat antusias dan tertarik dengan inovasi produk serta pemasaran digital, yang diharapkan dapat memperluas jangkauan pasar dan meningkatkan ekonomi desa. Pelatihan ini berhasil memberikan pemahaman tentang pengolahan susu sapi perah menjadi produk olahan yang bernilai tambah dan cara efektif memasarkan produk melalui media sosia
BRANDING MELALUI MEREK DAN LOGO PADA UMKM NASABAH BANK BTPN SYARIAH MMS RUNGKUT
No full textUMKM memiliki peran penting dalam mendukung perekonomian Indonesia, namun masih banyak yang menghadapi tantangan dalam membangun identitas merek yang kuat. Artikel ini membahas program pengabdian masyarakat yang bertujuan untuk meningkatkan pemahaman dan keterampilan pelaku UMKM nasabah Bank BTPN Syariah di wilayah Mobile Marketing Syariah (MMS) Rungkut terkait branding melalui merek dan logo. Metode yang digunakan meliputi pelatihan, pendampingan langsung, dan evaluasi terhadap hasil implementasi branding oleh nasabah. Hasil pengabdian menunjukkan bahwa pelaku UMKM yang mengikuti program ini berhasil meningkatkan daya saing produk mereka di pasar melalui penerapan merek dan logo yang lebih menarik, relevan, dan konsisten. Selain itu, program ini juga mendorong pelaku UMKM untuk lebih memahami pentingnya identitas visual sebagai alat komunikasi dengan konsumen. Kesimpulan dari pengabdian ini adalah bahwa branding melalui merek dan logo dapat menjadi strategi yang efektif untuk meningkatkan keberlanjutan dan pertumbuhan UMKM
Methods of Issuing Fatwas in Islamic Legislation: A Historical Review
No full textThe methodology of issuing fatwas is highly significant to ensure that fatwas are issued based on discipline to meet the requirements of Islamic law, are relevant to the needs of society, and simultaneously preserve the sustainability of Islamic teachings. This article highlights the development of fatwa methodology in Islamic legislation, starting from the time of revelation until later periods. By using a fully qualitative approach, this article discusses the concept of fatwa, the current reality of fatwas in Malaysia, and reviews the development of fatwa issuance methods in Islamic legislation. The research findings reveal that fatwa methodology is diverse in line with the changing times. The scope of ijtihad also depends on the circumstances of the era, society, and the approach taken by the authorities based on the reality of that time
Integration Model of “Riau Hijau” Program Implementation in Achieving Sustainable Development Goals in Riau Province
No full textThe "Riau Hijau" program represents a strategic initiative by the provincial government of Riau to integrate environmental conservation with sustainable development goals (SDGs). This study aims to develop an integrated implementation model for the Riau Hijau program to achieve the SDGs in Riau Province effectively. The findings reveal significant gaps in coordination, resource allocation, and community engagement, which hinder the program's success. Based on these insights, we propose a model incorporating multi-stakeholder collaboration, robust monitoring and evaluation frameworks, and enhanced capacity-building initiatives. This integrated model aims to ensure the sustainable management of natural resources, reduce environmental degradation, and promote socio-economic development. The study underscores the importance of a holistic approach to policy implementation, which aligns local environmental initiatives with global sustainable development targets. By implementing the proposed model, Riau Province can advance towards a more sustainable and resilient future, balancing ecological preservation with economic growth and social well-being
Building A Powerfull File Specification Application For Database System Design
Get PDFThe database is a collection of data that is well organized so that the data is easy to store, access and manipulate. Each database can contain all databases, or it can contain any number of database objects, such as files or tables. The purpose of the database was to organize data/organize data so that it is easy to obtain, accurate, and speedy in data retrieval, so that there was no duplication of data and the data is easy to maintain. Database has an important role to build an application. To build an application, valid data is needed so that the data synchronization of the application made with the designed database can be connected so that the data structure and data manipulation that occurs according to needs. The initial stage in making this program is analysis. The analysis was done by designing the program using diagrams. The method used in this research was the prototyping method. The diagrams used are Use Case Diagrams and Activity Diagrams. The result of this research is the application was made according to the needs of the users. In addition to being easy and practical, users found it very helpful because it saved time in making specification files, which were originally quite complicated and took a long time to make, now with this application file specifications could be made easily and quickly
The Implementation of Data Mining in Measuring Student Satisfaction Levels at IAIN Kerinci
Get PDFMeasuring student satisfaction is crucial to consider, given the high level of competition in the education sector alongside the advancement of knowledge and technology. It is essential to ensure that the services expected by students align with what they actually receive. Measuring student satisfaction can significantly assist higher education institutions in improving the quality of services, which in turn can impact the increase in student enrollment. This study employs a quantitative method, utilizing one of the data mining techniques, namely classification with the C4.5 algorithm, to measure student satisfaction levels. The population in this study consists of active students at IAIN Kerinci, with a sample size of 100 respondents. These students act as subjects who provide assessments or opinions on variables characterized by Tangible, Reliability, Responsiveness, Assurance, and Empathy. The data is then processed using data mining classification techniques, and testing is performed with the aid of RapidMiner software. The calculation and testing results demonstrate that data mining successfully classifies the variables in measuring student satisfaction with excellent performance, producing 10 rules from the decision tree with an accuracy rate of 98.22%. These rules are expected to serve as a basis for decision-making to determine actions that need to be taken to enhance student satisfaction
From Usability to Strategy: Enhancing Higher Education Website Quality through a Data-Driven Evaluation Using WebQual 4.0 and Importance-Performance Analysis
Get PDFIn the era of digital transformation, academic websites play a crucial role in facilitating communication, supporting academic functions, and promoting institutional transparency. This study assesses the quality of a faculty website at a public university in Surabaya, East Java, Indonesia, from the users’ perspective. Utilizing the WebQual 4.0 framework, the research evaluates three key dimensions—usability, information quality, and interaction quality—to determine how effectively the website supports academic activities. To better prioritize areas for improvement, the study incorporates Importance-Performance Analysis (IPA), which helps identify website attributes that are both important to users and currently underperforming. The findings provide an overview of users' perceptions of website effectiveness, highlight aspects that require strategic focus, and offer direction for future enhancements. This research adds to the body of knowledge on digital service quality in higher education by presenting a combined methodological approach that emphasizes user experience. The results offer practical recommendations for university administrators, web developers, and IT teams in optimizing academic websites to better support teaching, learning, and accreditation processes. The study underscores the significance of user-centered design in improving digital services and institutional performance within the higher education context
Application of Deep Learning Algorithm to Detect Fraud in Online Transaction Networks
Get PDFOnline transaction fraud is a severe problem that may cost businesses and people a lot of money. This paper suggests using deep learning algorithms to detect fraud as a remedy to this issue. These algorithms were chosen based on their ability to handle large amounts of intricate data and identify patterns that are difficult to identify using traditional techniques. Important components of this research include gathering and preprocessing transaction data, creating deep learning models, and assessing model performance. This investigation examines a variety of financial transaction types that may have involved fraud. The deep learning approach uses deep neural network designs, including Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN), to maximize detection accuracy. The study's findings demonstrate that the deep learning models created are excellent at identifying questionable transactions and can lower the false positive rate, which raises the overall effectiveness of fraud detection systems. As a result, deep learning algorithms have demonstrated a high degree of efficacy in identifying fraudulent activity inside internet-based transaction networks, so they play a vital role in fraud prevention
Implementation of the K-Means Clustering Method for Selecting Pencak Silat Athletes at the North Sumatra KONI
Get PDFThis article discusses the application of the K-Means clustering method in the selection of pencak silat athletes at the North Sumatra Koni. The study aims to improve the efficiency of the selection process, which was previously carried out manually, by classifying athletes based on attributes such as age, weight, and physical ability. K-Means clustering is used to group athletes into three categories: very suitable, suitable, and unsuitable. The methodology includes determining the number of clusters, calculating centroids, and analyzing Euclidean distances for data clustering. The results of the study showed that this method was effective in classifying 394 athletes in the "unsuitable" category, 354 athletes in the "suitable" category, and 376 athletes in the "very suitable" category. This study is expected to support the athlete selection process more systematically and efficiently. Recommendations for further research include the use of additional criteria and exploration of other clustering methods for more optimal results
Morphometric Analysis on Sacha Inchi Plants (Plukenetia volubilis L.) using Organic Fertilizer Treatment of Chicken Manure
Get PDFSacha Inchi is a plant that has economic potential and is worthy of development. This research was conducted to understand the relationship between variables in the treatment of chicken manure liquid organic fertilizer. The research method used in this research was an experimental method on 200 samples of Sacha Inchi plant seeds. The analytical design used in this research is linear regression analysis. Based on the results of linear regression on chicken fertilizer treatment, it is known that the weight variable has an effect on the cocoa bean surface area variable by 51% (moderate), bean weight has an effect on thickness by 53% (moderate), the effect of thickness on bean surface area is 6.5% ( weak) and the volume influenced by seed weight is 81% (strong). Thus, increasing the weight of the seeds will increase the volume of the seeds