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All Journal Jurnal Bahasa dan Sastra Jurnal Penelitian Sains (JPS) JURNAL PENGABDIAN KEPADA MASYARAKAT Berkala Ilmiah Pendidikan Fisika Jurnal Penelitian Sains (JPS) Jurnal Inovasi dan Pembelajaran Fisika JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Jurnal Penelitian Sains JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY Seminar Nasional Pendidikan IPA Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Ilmiah Pendidikan Fisika Kasuari: Physics Education Journal (KPEJ) JURNAL MAHAJANA INFORMASI Jurnal Informasi dan Teknologi JAGAT (Jurnal Geografi Aplikasi dan Teknologi) Jurnal Info Sains : Informatika dan Sains EKONOMIKA45 JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) PEKBIS Jurnal Nasional Teknologi Komputer Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Sosial, Pendidikan Dan Humaniora Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Kajian Penelitian Pendidikan dan Kebudayaan Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Jurnal Nakula: Pusat Ilmu Pendidikan, Bahasa Dan Ilmu Sosial Jurnal Pengabdian Masyarakat dan Riset Pendidikan Peksos: Jurnal Ilmiah Pekerjaan Sosial Jurnal Pendidikan & Pengajaran Jurnal Dharma Pendidikan dan Keolahragaan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Bulletin of Engineering Science, Technology and Industry Jurnal Elektronik Pendidikan Matematika Tadulako Teknofile, Jurnal Sistem Informasi Abdimas, Jurnal Pengabdian Masyarakat
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Pemanfaatan Teknologi AI Untuk Edukasi Konservasi Mangrove Di Pantai Kurnia Desa Kota Pari Leni Marlina; Hermansyah; Putra, Randi Rian; Fachri, Barany; Suheri, Suheri
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 1 (2025): Juli 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i1.474

Abstract

Penelitian ini bertujuan untuk mengeksplorasi dan menerapkan pemanfaatan teknologi kecerdasan buatan (AI) sebagai sarana edukasi dalam upaya konservasi mangrove di Pantai Kurnia, Desa Kota Pari. Mangrove merupakan ekosistem pesisir yang memiliki peran vital dalam menjaga keseimbangan lingkungan, mencegah abrasi, serta menyediakan habitat bagi berbagai spesies. Namun, rendahnya kesadaran masyarakat akan pentingnya peran mangrove menyebabkan ekosistem ini rentan terhadap kerusakan. Teknologi AI, dengan kemampuannya dalam analisis data dan pengolahan informasi yang cepat, dapat dimanfaatkan untuk menyampaikan pesan edukasi secara lebih efektif dan menarik. Dalam proyek pengabdian ini, kami mengembangkan sebuah aplikasi berbasis AI yang menggabungkan visualisasi data interaktif, gamifikasi, dan simulasi dampak kerusakan mangrove. Aplikasi ini dirancang untuk memberikan pemahaman yang lebih mendalam kepada masyarakat, khususnya generasi muda, mengenai peran penting mangrove, ancaman yang dihadapi, serta langkah-langkah konservasi yang dapat dilakukan. Selain itu, aplikasi ini juga dilengkapi dengan fitur yang memungkinkan pengguna untuk berinteraksi langsung dengan data, seperti simulasi pertumbuhan mangrove dan dampak perubahan iklim terhadap ekosistem pesisir. Diharapkan, melalui pendekatan inovatif ini, kesadaran dan partisipasi masyarakat dalam konservasi mangrove dapat meningkat secara signifikan, yang pada akhirnya berkontribusi pada pelestarian lingkungan dan keberlanjutan ekosistem pesisir di Pantai Kurnia. Pengabdian ini tidak hanya memberi manfaat bagi lingkungan, tetapi juga meningkatkan kapasitas masyarakat dalam menggunakan teknologi untuk mendukung konservasi alam.
Analisis Kesiapan BPBD Kota Binjai dalam Penerapan Kecerdasan Buatan untuk Sistem Peringatan Dini Bencana Banjir Putri Nadya Agustin Reyhan; Ely Lestari Br Purba; Leni Marlina
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 3 (2025): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i3.596

Abstract

This research was conducted from June to July 2025 in Binjai City, with the primary focus being analyzing the readiness of the Binjai City Regional Disaster Management Agency (BPBD) to implement a flood early warning system utilizing artificial intelligence (AI). The data collection process was conducted through a literature review, which involved reviewing various theories and previous research results regarding the application of AI and Internet of Things (IoT) technology in the context of disaster mitigation. Based on the results of the study, it was found that the use of technologies such as ultrasonic sensors, microcontrollers, fuzzy logic, and automatic notification systems can provide real-time warnings with a high level of accuracy and a fast response. This system enables early detection of rising river levels through automatic measurements, intelligent data processing, and sending notifications to authorities and affected communities within seconds. By integrating historical data and machine learning-based predictions, this system is also able to depict potential flooding before it occurs, providing a longer response time for evacuation. However, the readiness of the Binjai City BPBD still faces various challenges, such as limited digital infrastructure, the need for human resource training in the technology field, and inadequate budget allocation. Therefore, cross-sector collaboration and ongoing policy support are needed for optimal implementation of this system. The use of AI and IoT in early warning systems is not only technically relevant but also urgent in the face of increasing climate change and flood risks. A strategy involving cross-sector collaboration between government, academia, and the private sector is needed to develop an adaptive and sustainable early warning system.
Analysis of Avtur Fuel Usage in Aircraft with an IT Governance-Based Simulation Approach Using the COBIT Model Wiko Pratama; Leni Marlina; Rian Farta Wijaya
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.669

Abstract

The management of the use of aviation fuel in aircraft is a crucial aspect in the aviation industry, which has a direct impact on operational efficiency and environmental sustainability. This study aims to analyze the use of avtur fuel with an IT Governance-based simulation approach using the Control Objectives for Information and Related Technologies model or abbreviated as COBIT. The COBIT model was chosen for its ability to manage structured information technology governance, so that it can help in optimizing decision-making related to fuel efficiency. The simulations carried out in this study involve various operational scenarios to evaluate the effectiveness of avtur management by utilizing key performance indicators (KPIs) in the COBIT framework. The results of the analysis show that the implementation of COBIT-based IT Governance can improve the efficiency of audit use by improving monitoring, risk management, and data-based decision-making processes. These findings contribute to the development of fuel efficiency strategies in the aviation industry and open up opportunities for the application of similar models in other transportation sectors.
ANALYSIS OF GOOGLE USER SENTIMENT TOWARDS UNIVERSITAS PEMBANGUNAN PANCA BUDI BASED ON REVIEWS GOOGLEUSING THE NAÏVE BAYES ALGORITHM M Imam Santoso; Rian Farta Wijaya; Zulham Sitorus; Muhammad Iqbal; Leni Marlina
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.63

Abstract

This thesis examines user sentiment towards Panca Budi Development University by utilizing Google reviews as the main data and using the Naïve Bayes algorithm for sentiment analysis. This research aims to understand the public's perception of the university through reviewing reviews available on the Google platform. The data used consists of user reviews collected from Google Reviews. The analysis process begins with data pre-processing, including text cleaning and tokenization, followed by the development of a Naïve Bayes model for classification of review sentiment into positive, negative, or neutral categories. The results of this analysis provide insight into the strengths and weaknesses of Panca Budi Development University from a user perspective, as well as identifying areas that require improvement. It is hoped that these findings can become a basis for the university to improve the quality of its services and reputation in the eyes of the public. This research also highlights the effectiveness of the Naïve Bayes algorithm in sentiment analysis, and contributes to further studies on sentiment analysis in the education sector
COMPARATIVE ANALYSIS OF NAIVE BAYES ALGORITHM AND C4.5 ALGORITHM IN SELECTING TYPES OF UMKM PRODUCTS IN BBPSDMP KOMINFO MEDAN TRAINING Alex Siregar; Leni Marlina; Khairul; Muhammad Iqbal; Andysah Putera Utama Siahaan
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.64

Abstract

This study compares the accuracy of the Naïve Bayes and C4.5 algorithms in determining the most suitable product types for Micro, Small, and Medium Enterprises (MSMEs) participating in the Digital Entrepreneurship Academy (DEA) training program at BBPSDMP Kominfo Medan. This study uses a dataset from DEA participants between 2021 and 2022. The analysis shows that the C4.5 algorithm has a higher accuracy compared to Naïve Bayes, indicating its better effectiveness in helping MSMEs choose product types. These findings suggest that C4.5 is more suitable for applications that require a high level of accuracy, especially in the context of this study. This study provides valuable insights into the selection of algorithms to support decision making in the MSME sector.
Software Development Dengan Extreme Programming (XP) Pada Aplikasi Deteksi Kemiripan Judul Skripsi Berbasis Android karmila; Leni Marlina
TEKNOFILE : Jurnal Sistem Informasi Vol. 1 No. 2 (2023): November 2023
Publisher : PT. ZIVANA CENDEKIAWAN BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Intisari – Untuk menentukan topik penelitian maupun judul untuk skripsi mahasiswa dimungkinkan terjadi kemiripan judul dengan judul yang sebelumnya, baik secara disengajaja maupun tidak sengaja. Maka dari itu, bagian terkait harus mengecek terhadap judul yang diajukan oleh mahasiswa, sehingga dapat menghindari plagiat. Pengembangan aplikasi deteksi kemiripan judul skripsi, merupakan salah satu upaya yang dapat dilakukan dalam penyelesaian masalah tersebut. Dalam sosftware development perlu adanya metode yang tepat untuk mengembangkan aplikasi yang sesuai dengan kebutuhan pengguna. Extreme Programming (XP) adalah bagian pendekatan agile development yang berbasiskan iterative development, yang berdasarkan dari kebutuhan dan pemecahan solusi melalui kerjasama diantara tim pengembang. Maka, pada penelitian ini dilakukan pengembangan aplikasi deteksi kemiripan judul skripsi dengan pendekatan pengembangan software XP.
PELATIHAN & IMPLEMENTASI APLIKASI POINT OF SALES  PADA UMKM TOKO GABIN FLA leni marlina
ABDIMAS : Jurnal Pengabdian Masyarakat Vol. 2 No. 11 (2024): November 2024
Publisher : PT. ZIVANA CENDEKIAWAN BANGSA

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Abstract

Toko Gabin Fla adalah sebuah usaha yang fokus pada penjualan makanan roti Gabin yang menggunakan fla, yang telah berdiri sejak tahun 2023 di Tembilahan. Menempati lokasi strategis di Jalan M.Boya, Tembilahan, Indragiri Hilir. Gabin Fla menyajikan beragam varian roti Gabin dengan fla sebagai produk utamanya, menargetkan segmen pasar dari berbagai kelompok usia. Meskipun telah melakukan upaya promosi melalui media sosial dan promosi lokal, penerimaan dan respons pasar terhadap produk Gabin Fla masih belum mencapai potensi yang diharapkan. Dalam upaya untuk meningkatkan pengenalan, daya tarik, dan jumlah pelanggan, fokus kegiatan ini adalah mengembangkan serta menerapkan strategi promosi yang lebih efektif. Rencananya meliputi penggunaan media sosial dengan konten yang menarik, aktif berpartisipasi dalam acara lokal, serta merancang strategi pemasaran yang inovatif untuk menjangkau lebih banyak pasar. Diharapkan bahwa melalui penerapan strategi promosi yang lebih kuat dan terarah, Gabin Fla dapat memperluas pangsa pasar dan meraih peningkatan signifikan dalam jumlah pelanggan serta mendapatkan perhatian yang lebih besar dari masyarakat terhadap produk roti Gabin fla yang ditawarkan.
Pengaruh Program Pemutihan Pajak dan Samsat Corner terhadap Kepatuhan Wajib Pajak Kendaraan Bermotor di Kantor Samsat Kota Bengkulu Leni Marlina; Iwin Arnova; Pedi Riswandi
EKONOMIKA45 :  Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 13 No. 1 (2025): Desember : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/ekonomika45.v12i3.4809

Abstract

This study aims to determine the effect of the tax amnesty program and SAMSAT corner on taxpayer compliance in paying motor vehicle tax. This study uses a quantitative research type using primary data obtained from a questionnaire of motor vehicle taxpayers. The population in this study were taxpayers who paid motor vehicle tax and participated in the tax amnesty program at SAMSAT Corner and were recorded at the Bengkulu City Samsat office in 2024. The dependent variables in this study were service quality and tax amnesty. The population in this study was 35,490 taxpayers and was determined using the Slovin formula, namely 100 respondents. The results of this study indicate that the tax amnesty program has a significant effect on taxpayer compliance and the Samsat corner has a significant effect on taxpayer compliance. The results of this study also indicate that tax amnesty and Samsat corner have a simultaneous effect on taxpayer compliance.
Sistem Informasi Sekolah Digital SMP Negeri 5 Berbasis Website Leni Marlina; Hermansyah
Jurnal Nasional Teknologi Komputer Vol 5 No 4 (2025): Oktober 2025
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to design and implement a website-based digital school information system at SMP Negeri 5, which is expected to improve the efficiency of educational management and information access for students, teachers, and parents. The method used in this study is system development with an Agile approach, which includes the stages of needs analysis, design, implementation, and evaluation. The results of the study indicate that the developed information system is able to provide important features such as student data management, class schedules, announcements, and discussion forums. The system trial showed a positive response from users, with a user satisfaction level reaching 85%. In addition, this system also provides easy access to real-time information, thus supporting a more effective teaching and learning process. This study recommends further development for system integration with e-learning applications and training for users to maximize the benefits of the Digital School information system being promoted by the government. Thus, the website-based digital school information system at SMP Negeri 5 is expected to serve as a model for other schools in facing the challenges of education in the digital era and the rapid development of technology that requires schools to have a teaching model that is appropriate to the development of Gen Z.
PENERAPAN METODE FIELD TRIP DALAM MENINGKATKAN KEMAMPUAN MENULIS PUISI SISWA KELAS X SMK KREATIF Leni Marlina; Hasan; Heni Purwani
Jurnal Kajian Penelitian Pendidikan dan Kebudayaan Vol. 1 No. 2 (2023): April : Jurnal Kajian Penelitian Pendidikan dan Kebudayaan
Publisher : CV. Aksara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jkppk.v1i2.192

Abstract

Penelitian ini bertujuan untuk menguji efektivitas penerapan metode field trip dalam meningkatkan kemampuan menulis puisi siswa kelas X SMK Kreatif Pembelajaran 2022/2023 mulai dari perencanaan. Metode field trip digunakan sebagai pendekatan pembelajaran yang melibatkan kegiatan di luar ruangan, dengan tujuan memperkaya pengalaman siswa dan merangsang kreativitas mereka dalam menulis puisi. Data dikumpulkan melalui observasi partisipan, wawancara dengan para guru, dan penilaian terhadap puisi yang ditulis oleh siswa. Data dianalisis secara kualitatif untuk mengidentifikasi perubahan dalam kemampuan menulis puisi siswa sebelum dan sesudah penerapan metode field trip. Hasil penelitian ini menunjukkan bahwa penerapan metode field trip dalam pembelajaran menulis puisi mampu meningkatkan kemampuan siswa dalam merangkai kata-kata, memahami gaya sastra, serta mengekspresikan perasaan dan ide dalam puisi mereka. Selain itu, metode ini juga mendorong keterlibatan aktif siswa dalam pembelajaran, meningkatkan minat mereka terhadap puisi, dan memperluas wawasan mereka melalui pengalaman langsung di luar kelas.
Co-Authors Ahmad Fali Oklilas Ainun Daniaty Annisah Alex Siregar Almafie, Muhammad Rama Andysah Putera Utama Siahaan Anida Chairatunnisa Anida Chairatunnisa Anisa Ramadhani Anissa Arianti Apit Fathurohman Arika Sari Aris Toteles Azhar Azhar Bakhtaruddin Nasution Bayong Tjasyono Billy Pratama Kahimpong Caska - Delia Septimiranti Dewi Rawani Diah Kartika Sari Dion Apri Adi Saputra Dona Liza Dwi Nevitasari Ely Lestari Br Purba Esti Susiloningsih Fachri, Barany Feri Iskandar Feri Iskandar fima ratna sari Fitriani Fitriani Gea, Lusiana Aliran Pinta Wati Gelby Pradina Paramitha Hairil Adzulyatno Hadini Hamdi Akhsan Har tanto Hartanto Hartanto Hasan Hendra Harnanda Heni Purwani Hermansyah Ida Sriyanti Ida Sriyanti Ida Sriyanti Iham Iqbal Geni Pratama Iwin Arnova Jabil Muklis Jaidan Jauhari Jaidan Jauhari Karmila Ketang Wiyono Ketang Wiyono Ketang Wiyono Khairul Khairul Khairul, Khairul Khairurijal . Khairurijal Khairurijal L.M Iradat Salihin Liliasari , Lintang Auliya Kurdiati Lisnani Lisnani M Imam Santoso M Rama Almafie Mahdum Maliyan Karenina Meilinda Meilinda Mr Sumar Hendayana Muhammad Muhammad Iqbal Muhammad Ismail Nasution Muhammad Rudi Sanjaya Mulya Yusnarti Mutia Faradini Ramadhanty Nunung Hendriani Nuraini Nuriz Dariyani Opi Andriani Pedi Riswandi PUPUT MELATI Putra, Randi Rian Putri Nadya Agustin Reyhan Rahmanita Ratu Ilma Indra Putri Rian Farta Wijaya Rina Aprilia Rizky ananda fradana Samsuryadi Samsuryadi Sardianto Markos Siahaan Sela, Melinia Siti Sopiah Sitorus, Zulham srilistari srilistari Sudirman, Sudirman Suheri Sulastri Sulastri Syuhendri, Syuhendri Tria Gustiningsi Trisno Ujang Supriyadi Wiko Pratama Wina Aulia Yahya Eko Nopiyanto Yanti Yuliarti Zahara Lutfiya Azmi Zahara Lutfiya Azmi Zahara Lutfiya Azmi Zen, Muhammad Zulkardi Zulkardi