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Penerapan Aplikasi E-Commerce Bagi Usaha Baru Ibu Keripik Nenas Desa Kualu Nenas Rio, Unang; Agustin, Wirta; Bakaruddin, Bakaruddin; Muzawi, Rometdo
Jurnal Pengabdian UntukMu NegeRI Vol. 5 No. 2 (2021): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v5i2.3141

Abstract

Abstrak: Kabupaten Kampar merupakan bagian wilayah Provinsi Riau yang memiliki potensi untuk pengembangan komoditas nenas. Sentra produksi tanaman nenas Kabupaten Kampar berada di Kecamatan Tambang yaitu di Desa Kualu Nenas dan Desa Rimbo Panjang dengan rata-rata produksi masing-masingnya sebesar 875 ton/hektar dan 1,6 ton/hektar (Dinas Pertanian Kabupaten Kampar, 2012). Keripik nenas merupakan produk olahan yang paling banyak dikembangkan oleh pengrajin keripik nenas di Desa Kualu Nenas. Agroindustri keripik nenas di Kabupaten Kampar sebenarnya menghadapi berbagai permasalahan, seperti juga yang dialami oleh Pengusaha Keripik “Usaha Baru Ibu”. Permasalahan yang dihadapi pengusaha keripik nenas “Usaha Baru Ibu” belum adanya pemanfaatan teknologi informasi untuk promosi sehingga pemasaran produk usaha keripik dari “Usaha Baru Ibu” belum bisa menjangkau masyarakat luas, oleh sebab itu hal ini sangat berpengaruh terhadap perolehan pendapatan yang kurang optimal dan tidak sesuai dengan yang diinginkan, Untuk pemasarannya dominan dilakukan di sekitar Kampar dan pekanbaru. Melalui program kemitraan masyarakat ini, solusi yang ditawarkan adalah dengan membangun dan menerapkan aplikasi e-commerce baik dalam bentuk website ataupun mobile commerce penjualan Keripik Nenas Kabupaten Kampar dalam meningkatkan pendapatan “Usaha Baru Ibu”. Metode pelaksanaan dalam Program Kemitraan Masyarakat yang digunakan adalah : 1. Focus Group Discussion, 2. Partisipatory Research Action 3. Metode pelatihan dan pendampingan.
Penerapan Metode User Centered Design (UCD) untuk Pengembangan UI/UX pada Aplikasi Marketplace Bibit Kerang Ramadan, Sukra; Imardi, Syahrul; Rio, Unang; Zoromi, Fransiskus
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 16 No. 2 (2025): JURNAL SIMETRIS VOLUME 16 NO 2 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i2.15362

Abstract

Budidaya kerang merupakan salah satu sektor perikanan yang memiliki potensi ekonomi tinggi, khususnya di wilayah pesisir Indonesia seperti Bagansiapiapi. Salah satu faktor penentu keberhasilan budidaya adalah ketersediaan bibit kerang berkualitas. Namun, proses distribusi dan akses informasi mengenai bibit kerang di wilayah ini masih dilakukan secara konvensional, melalui perantara atau jaringan informal, yang seringkali menimbulkan risiko seperti penipuan, ketidaksesuaian produk, dan keterlambatan pengiriman. Belum tersedianya platform digital khusus juga menjadi kendala dalam menciptakan ekosistem jual beli  yang efisien dan terpercaya. Penelitian ini bertujuan merancang dan mengembangkan aplikasi marketplace bibit kerang berbasis Progressive Web App (PWA) dengan pendekatan User-Centered Design (UCD). PWA dipilih karena mampu diakses tanpa instalasi aplikasi, mendukung notifikasi, serta tetap berfungsi dalam kondisi konektivitas terbatas. Pendekatan UCD diterapkan agar perancangan antarmuka dan pengalaman pengguna sesuai dengan kebutuhan dan konteks pengguna lokal. Beberapa studi sebelumnya menunjukkan bahwa metode UCD dapat meningkatkan kualitas UI/UX dan efektivitas aplikasi, dibuktikan melalui skor System Usability Scale (SUS) yang tinggi. Aplikasi ini dilengkapi fitur pencarian bibit, sistem pembayaran aman (Pay Protection), ulasan pengguna, dan konsultasi dengan ahli (Aqua Expert). Dengan adanya solusi digital ini, diharapkan proses transaksi menjadi lebih aman, cepat, dan efisien, sekaligus mendukung produktivitas pembudidaya serta memperkuat transformasi digital di sektor perikanan lokal.
Sistem Informasi Penjadwalan Belajar Mengemudi pada Armada Menggunakan Metode Extreme Programming (XP) Berbasis Mobile Tasya, Praba Isna; Rio, Unang; Erlinda, Susi; Andesa, Khusaeri
Journal of Authentic Research Vol. 4 No. 2 (2025): December
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/qww4kf85

Abstract

Sistem informasi penjadwalan belajar mengemudi diperlukan untuk meningkatkan efektivitas dan efisiensi pengelolaan jadwal pada lembaga kursus. Penelitian ini bertujuan merancang dan mengembangkan aplikasi mobile penjadwalan belajar mengemudi menggunakan metode Extreme Programming (XP). Aplikasi ini memfasilitasi peserta kursus dalam melakukan pendaftaran, memilih jadwal, dan mengunggah bukti pembayaran secara daring. Proses pengembangan sistem dilakukan melalui tahapan perencanaan, perancangan, pengkodean, dan pengujian dengan pendekatan XP. Pengujian menggunakan metode Black Box memastikan fungsionalitas sistem berjalan baik, sedangkan evaluasi usability dengan System Usability Scale (SUS) menunjukkan bahwa aplikasi mudah digunakan dan diterima oleh pengguna. Hasil penelitian membuktikan bahwa aplikasi ini mampu meningkatkan kualitas pelayanan kursus mengemudi dan memberikan pengalaman pengguna yang lebih praktis serta modern. A driving course scheduling information system is essential to improve the effectiveness and efficiency of schedule management in training institutions. This study aims to design and develop a mobile-based scheduling application for driving courses using the Extreme Programming (XP) method. The application allows users to register, select schedules, and upload proof of payment online. The system development process was carried out through planning, design, coding, and testing stages based on XP principles. Testing with the Black Box method ensured system functionality, while usability evaluation using the System Usability Scale (SUS) indicated that the application is user-friendly and well-accepted. The findings show that the application enhances the quality of driving course services and provides a more practical and modern user experience.  
Penerapan K-Means Clustering untuk Mengelompokkan Risiko Diabetes Berdasarkan Gaya Hidup dan Kesehatan Sigit, Rapel Aprilius; Rio, Unang; Efrizoni, Lusiana; Ali, Edwar
JATISI Vol 12 No 4 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i4.13292

Abstract

Diabetes mellitus is a chronic disease with a globally increasing prevalence, driven by modern lifestyle changes. Early detection of diabetes risk is crucial in preventing and mitigating long-term complications. This study aims to cluster individuals based on their diabetes risk levels using the K-Means Clustering algorithm by considering lifestyle and health condition attributes. The dataset used was obtained from the Kaggle platform, consisting of 5,452 entries and 22 attributes. The pre-processing stage involved data cleaning, normalization, and manual feature selection. The optimal number of clusters was determined using the Elbow Method, which indicated the best result at k = 3. Cluster quality evaluation was performed using the Davies-Bouldin Index (DBI), which yielded a score of 0.7678, indicating a reasonably good level of cluster compactness and separation. The final output formed three risk clusters: low, medium, and high, with distributions of 424, 819, and 615 records, respectively. This segmentation is expected to serve as a basis for healthcare institutions in designing more targeted and data-driven preventive interventions.
Penggunaan Chatbot pada Sistem Informasi Buku Berbasis Web Menggunakan Metode Natural Language Processing (NLP) iki, m.rezki hamdani; Nurjayadi; Unang Rio; Muhamad Jamaris
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/0b2p5329

Abstract

Advances in information technology require fast and effective information retrieval services, including in library book information systems. Manually searching for books in catalogs is often timeconsuming and slow to respond, especially as the number of books in libraries increases. This problem highlights the importance of creating an automated system that can provide information directly and timely. This research aims to create a web-based chatbot that can provide information about books, using Natural Language Processing (NLP) techniques to make information retrieval more effective. The research method includes analyzing system requirements, designing the system structure, implementing a natural language processing model with text preprocessing steps such as tokenization, case adjustment, and stemming, and testing the system's capabilities. The system was developed using a prototype method to suit user needs. Evaluation was conducted by testing the accuracy of answers and checking the level of user satisfaction. Testing showed that the chatbot can provide information about the title, author, publisher, year of publication, and location of a book with a 90% accuracy rate, measured by the extent to which the answers provided by the  chatbot match the user's questions. Furthermore, user test results indicate that this method is more efficient in saving search time than previous methods. So the use of NLP-based chatbots has been proven to help improve the quality and speed of providing information about books in libraries. 
Six decades of publication performances and scientific maps on sports nutrition Abdullah, Khairul Hafezad; Gazali, Novri; Abd Aziz, Fadzli Shah; Syam, Elgamar; Muzawi, Rometdo; Rio, Unang; Cendra, Romi; Nazirun, Novia
Journal Sport Area Vol 7 No 1 (2022): April
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/sportarea.2022.vol7(1).8126

Abstract

A well-balanced diet is essential for individuals, particularly athletes, because it improves overall health by supplying energy besides repairing and replacing damaged cells. A well-balanced diet is also benefitting athletes to fuel their bodies before, during, and after training. This study aims to examine the intellectual structure of sports nutrition research using bibliometric measures from 1959 to 2021 based on the Scopus database. The study was investigated using SciMAT software, which employed keyword co-occurrence analysis to extract performance and scientific output vis-à-vis critical topics or themes in sports nutrition. The findings indicated that sports nutrition possesses enormous potential and growth potential. The most prevalent themes in this research area are trace elements, exercise, questionnaire, carbohydrate, and adolescent. Also, this study put up to analysing sports nutrition in countless fields, assisting in understanding its intellectual structure. Future researchers could use this data to identify the focus of awareness and make decisions in multiple ways. This study has a few limitations: 1) the researchers’ interpretation of the themes in this study was grounded on their knowledge; 2) this study only considered publication records from the Scopus database, and some sports nutrition publications may not have been included; and 3) if additional databases, such as Google Scholar, Microsoft Academics, or Dimensions, were accessed, the subject area may have shifted. The findings of this study should be accepted as a single evidence-based framework for developing future studies on sports nutrition research that will benefit researchers, practitioners, and policymakers.