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All Journal Proceeding SENDI_U Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jurnal Biologi Tropis JSiI (Jurnal Sistem Informasi) Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Menara Ilmu bit-Tech Jurnal Abdi Insani Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotech: Journal of Technology Information IJECS: Indonesian Journal of Empowerment and Community Services Journal Computer Science and Informatic Systems : J-Cosys Journal of Economic, Business and Engineering (JEBE) Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Teknik Informatika Jurnal Bisnis Manajemen dan Akuntansi Duta Abdimas: Jurnal Pengabdian Masyarakat Biner : Jurnal Ilmiah Informatika dan Komputer Proceeding of International Conference Health, Science And Technology (ICOHETECH) Adopsi Teknologi dan Sistem Informasi eProceedings of Management Innovative: Journal Of Social Science Research Bengawan :Jurnal Pengabdian Masyarakat International Journal of Trends in Accounting Research Journal Of Artificial Intelligence And Software Engineering Persona: Kajian Bahasa dan Sastra Jurnal Informatika Polinema (JIP)
Oktaviani, Intan
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Website-Based Sales Transaction Data Monitoring Information System Risandi, Arfika Putri; Hasanah, Herliyani; Oktaviani, Intan
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2679

Abstract

Micro, Small, and Medium Enterprises (MSMEs) contribute significantly to the Indonesian economy, yet many still rely on manual transaction recording using Excel, which often results in errors, delays in reporting, and difficulties in accessing historical sales data. These limitations hinder effective decision-making and reduce operational efficiency. In response to these challenges, this study aims to develop a website-based sales transaction data monitoring information system that enables real-time monitoring and structured data management for various user roles: admin, reseller, and leader. The system was developed using the Rapid Application Development (RAD) method, which emphasizes fast prototyping and user feedback to ensure functionality meets actual needs. Features include automated Excel data uploads, interactive dashboards, and reseller performance visualizations tailored to user roles. Testing was conducted using Black Box Testing and User Acceptance Testing (UAT). The results indicate that all system functions operated according to design specifications and received positive feedback from users regarding usability and effectiveness. The implementation of this system successfully addresses the common problems faced by MSMEs in transaction management by improving accuracy, speeding up reporting, and enhancing monitoring transparency. In conclusion, this system offers a practical solution that is ready to be adopted by MSMEs with similar transaction recording issues, supporting digital transformation and operational efficiency in the MSME sector.
Predicting Social Media Addiction Using Machine Learning and Interactive Visualization with Streamlit Tegar, Alfiyan Tegar Budi Satria; Hasanah, Herliyani; Oktaviani, Intan
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2715

Abstract

The increasing use of social media among students has raised concerns regarding its impact on mental health, academic performance, and interpersonal relationships. This study introduces a Streamlit-based web application that predicts social media addiction levels using the Random Forest algorithm. The model incorporates variables such as daily usage hours, mental health scores, and conflicts caused by social media. The innovation of this approach lies in combining machine learning with interactive visualizations for real-time addiction prediction, providing a user-friendly, data-driven tool for early screening. Unlike traditional models that primarily rely on self-reported data or simple metrics, this method integrates multiple behavioral and psychological indicators to improve prediction accuracy. The model outperforms linear regression in all key metrics, achieving an R² value of 0.9903, which explains 99.03% of the variation in addiction scores. It also reports a low Mean Absolute Error (MAE) of 0.0370, Mean Squared Error (MSE) of 0.0244, and Root Mean Squared Error (RMSE) of 0.1561, highlighting its accuracy. Black-box testing showed an average error of just 0.354% in predictions and confirmed that the app’s features function effectively across devices. These findings emphasize the potential of this application as an effective tool for identifying students at risk of social media addiction, enabling timely interventions, and offering a foundation for future improvements through real-time data integration and advanced machine learning models.
PENINGKATAN KESADARAN PEMILIHAN SAMPAH DI RUMAH TANGGA MELALUI EDUKASI DAN TEKNOLOGI DIGITAL DI DESA CIHERANG Ashari, Arya; Hafiz, Abdullah Ahmad; Bramantyo, Rakesh; Oktaviani, Intan; Susanty, Meredita
Jurnal Abdi Insani Vol 12 No 7 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i7.2426

Abstract

Kegiatan pengabdian kepada masyarakat di Desa Ciherang dilatarbelakangi oleh meningkatnya biaya pengelolaan sampah pasca-gempa, yang disebabkan oleh rusaknya TPS dan relokasi TPA ke daerah yang lebih jauh. Selain itu, rendahnya partisipasi masyarakat dalam pemilahan sampah menjadi tantangan utama, karena sebagian besar warga belum terbiasa memilah sampah sejak dari rumah. Kurangnya pemahaman tentang manfaat ekonomi dari pengelolaan sampah juga memperburuk kondisi ini. Program ini bertujuan untuk meningkatkan kesadaran masyarakat dalam pengelolaan sampah berbasis rumah tangga. Metode program pengabdian masyarakat ini mencakup pengumpulan kebutuhan, kampanye kesadaran, pelatihan pemilahan sampah, dan integrasi teknologi digital. Program ini menangani tantangan pengelolaan sampah pasca-gempa melalui edukasi, pendampingan, dan evaluasi untuk memastikan solusi berkelanjutan berbasis masyarakat di Desa Ciherang. Hasil sosialisasi menunjukkan peningkatan pemahaman masyarakat Desa Ciherang tentang pemilahan sampah dan manfaat ekonomi bank sampah. Sebanyak 89,7% responden menilai program ini relevan dengan kebutuhan mereka, sementara 97,4% puas dengan kegiatan yang berlangsung. Dukungan tokoh masyarakat dan Karang Taruna memperkuat keberlanjutan program, dengan rencana pemanfaatan TPS 3R sebagai bank sampah. Partisipasi aktif masyarakat diharapkan meningkatkan efektivitas pengelolaan sampah, mengurangi dampak lingkungan, serta mendorong ekonomi sirkular yang berkelanjutan di desa. Kesimpulannya, program ini berhasil meningkatkan kesadaran dan partisipasi masyarakat dalam pengelolaan sampah, dengan harapan dapat diterapkan secara berkelanjutan.
Implementasi Sistem Rekomendasi Produk Mebel Berbasis Web Menggunakan Content-Based Filtering Budi Suryono, Arif; Sumarlinda, Sri; Oktaviani, Intan
Jurnal Informatika Polinema Vol. 11 No. 4 (2025): Vol. 11 No. 4 (2025)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v11i4.7398

Abstract

Industri mebel di Indonesia mengalami perkembangan yang signifikan, namun pelanggan masih menghadapi kendala untuk memperoleh produk yang selaras dengan kebutuhan dan selera individu mereka. Permasalahan ini disebabkan oleh belum tersedianya sistem rekomendasi yang efektif pada platform digital penjualan mebel. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan sistem rekomendasi produk mebel berbasis web dengan menggunakan metode Content-Based Filtering. Metode ini dipilih karena tidak memerlukan riwayat transaksi pengguna, melainkan memanfaatkan kemiripan antar item berdasarkan kata kunci (keywords) seperti nama produk, material, kategori, dan atribut lainnya. Sistem dibangun menggunakan data sampel sebanyak 15 produk mebel dan menghasilkan 11 rekomendasi berdasarkan nilai kemiripan (similarity) tertinggi antara profil pengguna dan deskripsi produk. Untuk meningkatkan akurasi, pendekatan metode Naïve Bayes turut digunakan dalam perhitungan kemiripan data. Evaluasi sistem dilakukan menggunakan pengujian black box pada antarmuka pengguna, dan hasilnya menunjukkan bahwa sistem bekerja dengan baik dan sesuai dengan fungsionalitas yang diharapkan. Penelitian ini diharapkan dapat menjadi solusi awal dalam meningkatkan pengalaman pengguna pada platform digital mebel melalui sistem rekomendasi yang cerdas.
Implementasi Algoritma K-Nearest Neighbor untuk Optimasi Pemberian Reward Siswa SMA Riyanto, Agus; Nurchim; Oktaviani, Intan
Jurnal Sistem Informasi Vol. 12 No. 2 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v12i2.11017

Abstract

Giving rewards to school students is one strategy to increase learning motivation and participation in school. However, the system used to give rewards is usually still conventional, so it often faces challenges in terms of objectivity and comprehensiveness of assessment criteria. This study aims to apply the K-Nearest Neighbor (KNN) algorithm as an optimization tool in determining student reward recipients in High Schools. The data used include the average report card value, moral values, parents' income, number of siblings and scores in non-academic activities. The KNN method was chosen because of its ability to classify based on the similarity of neighbor data. The research process begins with collecting historical student data, data normalization, determining the KNN model, and evaluating the model. The results of the study show that the KNN model is able to classify students with a certain level of accuracy in recommending the right reward category. The conclusion of this study is that the application of the KNN algorithm can provide a more structured and objective approach to the reward giving process, so that it can help schools make transparent decisions and in accordance with the principles of justice. This system is expected to increase the effectiveness of the reward program and encourage development for students. Keyword : K-Nearest Neighbor, Reward, Classification, Objectivity, Optimization
Goods Management System Using Always Better Control (ABC) Method Prasetyo, Adi Tri; Hasanah, Herliyani; Oktaviani, Intan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7351

Abstract

This study aims to design and develop a web-based inventory management system utilizing the Always Better Control (ABC) method to assist Toko Didik in managing stock more efficiently. Until now, the inventory process in the store has been carried out manually using conventional record-keeping, which is prone to data entry errors, delays in stock monitoring, and the absence of a classification system to prioritize items based on their sales contribution.To address this problem,  the system was designed using the Waterfall development methodology, involving stages of requirements analysis, system design, implementation, and testing. Data were collected through observation, interviews, and documentation conducted at the store site. The system was built using the Laravel framework and MySQL database, and includes key features such as item recording, automatic item classification using the ABC method, real-time stock monitoring, purchase recommendations, sales transactions, and sales reporting. The results of black-box testing indicate that all system functions operate as expected without errors. The ABC classification method successfully groups items into three categories based on their contribution to total sales, allowing the store owner to prioritize procurement effectively. With this system, inventory management becomes more organized, accurate, and supports data-driven decision-making. This study serve as an alternative solution for small or medium-sized stores in addressing inventory management challenges through the use of information systems.
Geographic Information System (GIS) For Road Repair Planning Prioritization Using Naive Bayes Alamsyah, Bintang; Hasanah, Herliyani; Oktaviani, Intan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7396

Abstract

Prioritizing road infrastructure repair in rural areas often faces challenges, particularly due to budget limitations and subjective evaluation processes. This study aims to design and develop a web-based Geographic Information System (GIS) integrated with the Naive Bayes classification algorithm to support objective road repair prioritization. The system was developed using the Rapid Application Development (RAD) approach, involving active user participation in iterative development cycles. The application was built using Laravel as the backend framework, Leaflet.js for interactive map visualization, and PostgreSQL with the PostGIS extension for spatial data management. The system is capable of managing regional and road data, receiving road damage reports, and classifying repair priorities into high, medium, or low categories based on parameters such as damage level, traffic volume, and road length. The classification results are visualized on an interactive map to assist village officials in monitoring infrastructure and making informed decisions. System evaluation using black box testing confirmed that all functionalities operate validly in accordance with user requirements. This system offers an accurate and transparent data-driven solution for managing road infrastructure in Jelobo Village and has the potential to be replicated in other regions with similar conditions.
Long Periodism on the Speed of Nine O’clock Flowers (Portulaca grandiflora) Oktaviani, Intan; Agustina, Melinda; Susanti, Hemalia; Sundari, Muncar; Isnanto, Erliana Putri; Putri, Khalisah Nabila
Jurnal Biologi Tropis Vol. 25 No. 1 (2025): Januari - Maret
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i1.8344

Abstract

Long photoperiods can delay flower initiation and slow down the growth and formation of flower primordia, which can postpone flowering. This study aims to determine the photoperiodic response of the Nine O'clock flower (Portulaca grandiflora) to short light exposure. The research was conducted over one month (November-December 2024), with data collection specifically carried out on December 7, 2024, in Jombor Village, Bendosari District, Sukoharjo Regency, Central Java, from 05:08 AM to 10:00 AM. Observations were made on 19 plants to record blooming times, and data were analyzed descriptively and qualitatively. The results indicated that the blooming times of the Nine O'clock flower varied slightly among the observed plants, with an average blooming time of approximately 2 hours. In conclusion, while the Nine O'clock flower exhibits slight variations in blooming times, further research is recommended, particularly in locations with different altitudes. This study contributes to the understanding of the photoperiodic response of Portulaca grandiflora and its cultivation practices.  
Entrepreneurship Training as well as Environmental Conservation for Junior High School Students through Ecoprint Dewi, Ratna; Wiharti, Tri; Marta, Fadhillah; Oktaviani, Intan
IJECS: Indonesian Journal of Empowerment and Community Services Vol. 6 No. 2 (2025)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijecs.v6i2.6859

Abstract

One of the P5 projects on the theme of entrepreneurship is Ecoprint, which is a natural batik art using plant parts as the basic material, and if done seriously, this batik art can generate income for its maker. The purpose of this service is to provide understanding through ecoprint training to students of SMP Muhammadiyah 1 Kartasura because of its relevance to the P5 subject on the theme of entrepreneurship. The method of this service is through lectures and direct practice of making ecoprints using both the hitting technique and the steaming technique. The results of the service show that there is an increase in the understanding of SMP Muhammadiyah 1 Kartasura students towards ecoprints, as well as the students' enthusiasm in making ecoprints. It can be concluded that this service activity went smoothly and the results of this service are expected to provide students with skills in developing an entrepreneurial spirit in the future. Keywords: Ecoprint, Entrepreneurship, P5, Training
Collaborative Participatory Accounting and Internal Audit in Increasing Public Trust in Village-Owned Enterprises Meikhati, Ety; Sundari, Sundari; Oktaviani, Intan
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/0p2dqd16

Abstract

Village-Owned Enterprises (BUMDes) face various governance challenges, weak internal audit mechanisms, limited community participation, to inadequate human resource capacity, all of which ultimately lead to a deficit of public trust in the management of village funds. The absence of clear financial reports, delays in information disclosure, and minimal community involvement have further fueled public suspicion, while weak internal auditing has allowed potential errors, inefficiencies, and even fraud to go undetected. To overcome these issues, a transformation in financial governance is required through the implementation of participatory accounting, which directly involves the community in financial recording, reporting, and evaluation. The collaboration between these two mechanisms will create a balanced synergy between openness and oversight, thereby encouraging the establishment of transparent, accountable, and sustainable BUMDes governance. This solution must be supported by enhancing the capacity of BUMDes managers through training, adopting digital systems to simplify financial reporting, and involving village community forums as platforms for public accountability. For effective implementation, village governments are advised to issue regulations mandating participatory accounting and internal audit practices, establish independent supervisory bodies that include community representatives, and gradually adopt simple and user-friendly digital financial technologies. Furthermore, BUMDes must cultivate an organizational culture grounded in openness, integrity, and collective responsibility so that transparency is not merely a formal procedure, but a value embedded in every aspect of village enterprise management.
Co-Authors Adrianto, Fajri Agus Riyanto Agustina Agustina, Melinda Ajeng Ayu Arumsari Al Ayyubi, Raihan Abdurrahim Alamsyah, Bintang Ashari, Arya Atina, Vihi Bramantyo, Rakesh Budi Suryono, Arif Desriani, Rahmi Dewanti, Cahyaning Dwi Hartanti Eko Purwanto Ely Nastiti, Faulinda Ety Meikhati Faulinda Ely Nastiti Febrianisa, Amanda Eka Hafiz, Abdullah Ahmad Hasanah, Herliyani Heppy Millanyani Husin, Husna Sarirah Ilyas, Daffa Isnanto, Erliana Putri Joko Sutarto Jowanka, Axzara Wirid Isra Mahbub, Hanif Marginingsih, Marginingsih Marta, Fadhillah Moh Muhtarom Nofikasari, Indah Novianto, Ricky Eko Nurchim Nurchim Nurohman, Nurohman Pipin Widyaningsih Pradana, Rico Yoga Prasetia, Esa Galang Prasetyo, Adi Tri Prasetyo, Eri Angga Purawanto, Eko Putri, Khalisah Nabila Ratna Dewi Risandi, Arfika Putri Santosa, Tri Djoko Saraswati, Ririn Uke Sigit Purnomo Sumarlinda, Sri Sundari Sundari Sundari Sundari, Muncar Susanti, Hemalia Susanty, Meredita Tegar, Alfiyan Tegar Budi Satria Tri . Wiharti Tri Joko Raharjo Triana Triana, Triana Wijiyanto Wijiyanto, Wijiyanto Zulkifli, Suripto Moh.