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All Journal JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Impression : Jurnal Teknologi dan Informasi Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Sari, Rica Syofiana
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Implementasi UML dalam Desain Sistem Informasi Program Studi SI di Universitas Merangin Ichsandi, Ichsandi; Yanto, Widja; Alhaq , Hawari; Sari, Rica Syofiana; Juanda, Muhammad
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 2 (2025): July 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i2.902

Abstract

Penelitian ini bertujuan untuk mengimplementasikan Unified Modeling Language (UML) dalam desain sistem informasi Program Studi Sistem Informasi di Universitas Merangin. UML dipilih karena kemampuannya dalam memodelkan sistem secara terstruktur dan memfasilitasi komunikasi antara pengembang dan pemangku kepentingan. Metode penelitian menggunakan pendekatan berorientasi objek, dimulai dari identifikasi kebutuhan, pembuatan use case diagram, serta perancangan diagram aktivitas dan diagram kelas. Hasil penelitian menunjukkan bahwa penggunaan UML dapat menggambarkan kebutuhan fungsional sistem secara jelas, memetakan interaksi antar pengguna utama seperti mahasiswa, dosen, dan admin, serta memperjelas alur proses bisnis. Implementasi UML pada tahap desain terbukti meningkatkan efisiensi pengembangan sistem dan meminimalisir kesalahan interpretasi kebutuhan. Rekomendasi dari penelitian ini adalah penerapan UML secara konsisten dalam perancangan sistem informasi di lingkungan akademik untuk menghasilkan desain yang terstruktur dan mudah dipahami.     This study aims to implement Unified Modeling Language (UML) in the design of the Information Systems Study Program information system at Merangin University. UML was chosen for its ability to model systems in a structured way and facilitate communication between developers and stakeholders. The research method uses an object-oriented approach, starting from requirements identification, creating use case diagrams, and designing activity and class diagrams. The results show that UML usage can clearly illustrate the system’s functional requirements, map interactions among main users such as students, lecturers, and administrators, and clarify business process flows. Implementing UML in the design phase has proven to increase system development efficiency and minimize misinterpretation of requirements. The recommendation from this study is the consistent application of UML in information system design within academic environments to produce structured and easily understood designs.  
Analisis dan Perancangan Clustering Siswa Baru Menggunakan Metode K-Means pada SMK Negeri 1 Sarolangun Alhaq, Hawari; Yanto, Widja; Ichsandi, Ichsandi; Sari, Rica Syofiana; Sholid, Rolly Gios; Septiana, Alegriya Windi
Impression : Jurnal Teknologi dan Informasi Vol. 3 No. 2 (2024): July 2024
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v3i2.1035

Abstract

Teknologi Informasi dan Komunukasi digunakan dalam berbagai jenis aktifitas didalam kehidupan saat ini, Teknologi informasi sangat berperan dalam organisasi perusahaan salah satunya Business intelligence. Salah satu penghasil knowledge yaitu data mining. Data mining merupakan suatu teknik pengumpulan data untuk membentuk pengetahuan baru dari data yang ada. Banyak teknik pengelompokan data yang digunakan salah satunya algoritma yang sering digunakan adalah K-Means. Algoritma K-Means adalah algoritma clustering yang paling sederhana dibanding dengan algoritma yang lain. Algoritma ini termasuk salah satu algoritma paling penting dalam data mining. K-Means membagi data kemudian mengelompokkannya kedalam beberapa cluster yang memiliki kemiripan dan memisahkan setiap cluster berdasarkan perbedaan antar masing-masing cluster. Algoritma ini telah dikemukakan oleh beberapa peneliti dari disiplin ilmu yang berbeda. Tujuan penelitian ini dapat menganalisa clustering siswa baru menggunakan metode K-Means pada SMK N 1 Sarolangun serta merancang prototype clusteringnya. Dimana manfaat yang ditemukan nantinya yaitu untuk meningkat akurasi dalam pengelompokan siswa baru. Information and Communication Technology is used in various types of activities in today’s life. Information technology plays a crucial role in organizational operations, one of which is Business Intelligence. One of the key sources of knowledge is data mining. Data mining is a technique for collecting data in order to generate new knowledge from existing data. There are many data clustering techniques used, and one commonly applied algorithm is K-Means. The K-Means algorithm is one of the simplest clustering algorithms compared to others. It is also considered one of the most important algorithms in data mining. K-Means partitions data and groups it into several clusters based on similarities and distinguishes each cluster based on their differences. This algorithm has been proposed by researchers from various academic disciplines. The objective of this study is to analyze the clustering of new students using the K-Means method at SMK N 1 Sarolangun and to design a clustering prototype. The benefit of this study is to improve the accuracy of new student grouping.  
Sosialisasi Kuliah Praktik (KP) sebagai Persiapan Karier Mahasiswa Saintek di Era Digital Syofiana Sari, Rica; Satria, Deni; Yanto, Widja; Danang, Satria
Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat Vol 2 No 2 (2025): Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Publisher : PT. Meja Ilmiah Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70308/voxpopuli.v2i2.250

Abstract

This community service aims to help students get to know the Practical Lecture (KP) of strategic planning prepared by the Head of Study Program and Deka for 1 (One). This document is a reference in the implementation of students in the community, including in the use of knowledge obtained during lectures, program implementation, and lecture activities in the community. The socialization of Practical Lectures (KP) is one of the strategic efforts in equipping students of the Faculty of Science and Technology (Saintek) to be ready to face the dynamics of the world of work in the digital era. This activity aims to provide a comprehensive understanding of the essence, benefits, and procedures for implementing KP, which are directly related to the demands of competencies in today's industrial and professional sectors. In this socialization, the importance of mastery of technology, practical work experience, and the ability to adapt to digital changes as provisions for the career world is also emphasized. Through presentations from speakers from academic and industrial environments, it is hoped that students will gain new insights related to various opportunities and challenges in the midst of digital transformation. The results of this activity show an increase in students' understanding of the important role of KP in supporting career development, as well as a growth in motivation to prepare themselves more optimally in entering the world of work.
KAJIAN LITERATUR : ANALISIS EFEKTIVITAS PENGGUNAAN MULTIMEDIA DALAM PEMBELAJARAN IPA DI SEKOLAH DASAR Febriani, Widia Putri; Sasgita, Nabila; Sari, Rica Syofiana; Ananda, Tiara
PENDIDIKAN SAINS DAN TEKNOLOGI Vol 12 No 4 (2025)
Publisher : STKIP PGRI Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/edusaintek.v12i4.2030

Abstract

Science learning faces various challenges due to abstract concepts that are difficult for students to understand. Therefore, an innovative solution to address these challenges is the use of multimedia in science learning. The purpose of this study was to analyze the effectiveness of multimedia use in science learning in elementary schools. The method used was a literature review of 12 articles published between 2020 and 2025. The analysis showed that multimedia, such as animation, interactive videos, and simulation videos, have proven effective in explaining abstract science concepts concretely and attracting students' interest, motivation, and activeness, thereby improving conceptual understanding and student learning outcomes. However, the effectiveness of their use is highly dependent on real-world conditions, teacher readiness and competence, and support from the learning environment, such as supporting infrastructure.
Prediksi Penyebaran Kasus DBD dengan Pendekatan LSTM di Kota Bangko, Kabupaten Merangin Sari, Rica Syofiana; Sandika, Pio
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 3 (2025): November 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i3.1408

Abstract

Penyakit Demam Berdarah Dengue (DBD) hingga saat ini masih menjadi tantangan dalam bidang kesehatan masyarakat di Indonesia, termasuk di Kota Bangko, Kabupaten Merangin. Kasus DBD menunjukkan pola musiman dan kadang meningkat secara tiba-tiba, sehingga prediksi dini sangat penting untuk langkah pencegahan. Penelitian ini bertujuan memprediksi jumlah kasus DBD bulanan menggunakan Long Short-Term Memory merupakan varian dari jaringan saraf berulang (Recurrent Neural Network) Data yang digunakan merupakan rekaman historis kasus DBD periode 2019–2022 serta faktor lingkungan seperti curah hujan dan suhu rata-rata. Setelah dilakukan normalisasi dan pembagian data menjadi set pelatihan dan pengujian, model LSTM dilatih untuk memprediksi tren kasus. Hasil penelitian menunjukkan bahwa LSTM mampu menangkap fluktuasi dan pola musiman dengan baik, terlihat dari nilai RMSE yang rendah. Temuan ini dapat dijadikan referensi oleh Dinas Kesehatan Kota Bangko dalam merancang strategi pencegahan dan identifikasi wilayah rawan DBD.   Dengue Fever (DF) remains a significant public health challenge in Indonesia, including in Bangko City, Merangin Regency. DF cases exhibit seasonal patterns and sometimes increase abruptly, making early prediction crucial for preventive measures. This study aims to predict the monthly number of DF cases using Long Short-Term Memory (LSTM), a variant of recurrent neural networks (RNNs). The data used consist of historical DF case records from 2019–2022, along with environmental factors such as rainfall and average temperature. After normalization and splitting the data into training and testing sets, the LSTM model was trained to predict case trends. The results indicate that LSTM effectively captures fluctuations and seasonal patterns, as evidenced by the low RMSE values. These findings can serve as a reference for the Bangko City Health Office in designing preventive strategies and identifying DF-prone areas.  
Co-Authors Alhaq , Hawari Alhaq, Hawari Ananda, Tiara Danang, Satria Deni Satria Febriani, Widia Putri Ichsandi, Ichsandi juanda, muhammad Sandika, Pio Sasgita, Nabila Septiana, Alegriya Windi Sholid, Rolly Gios Widja Yanto Yanto, Widja