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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.  
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.
The Role of Local Wisdom in Driving Innovation and Green Economic Growth through Digital Platforms Oktaviani, Intan; Widyaningsih, Pipin; Triana; Husin, Husna Sarirah
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: 10.47701/99zprq92

Abstract

This study investigates the transformative potential of integrating local wisdom encompassing indigenous knowledge, cultural values, and traditional ecological practices into digital platforms to drive innovation and foster green economic growth, aligning with global sustainability agendas. It highlights how local wisdom, often manifested in heritage crafts, regenerative agriculture, and community-based resource management, serves as a foundation for eco-friendly production systems, ethical trade, and inclusive entrepreneurship when amplified through digital technologies such as e-commerce, traceability systems, and financial technology. Employing a mixed-method approach involving case studies from Asia, Africa, and Latin America alongside quantitative analyses of export growth, job creation, and supply chain resilience, the research reveals that embedding cultural identity and sustainable practices into digital commerce enhances product authenticity, attracts premium markets, reduces carbon footprints through localized production, and empowers marginalized groups, including women and indigenous communities. The findings underscore that such integration not only contributes to fair trade and decent work but also strengthens biodiversity conservation, promotes circular economy principles, and mitigates socio-economic inequalities. The study recommends implementing policy incentives, digital literacy programs, and multi-stakeholder collaborations between governments, platform developers, and cultural institutions to scale these initiatives, ultimately positioning local wisdom as a strategic driver for environmentally responsible, socially inclusive, and innovation-driven economic transformation in the digital era.
PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT PADA E-COMMERCE SEBAGAI UAPAYA PENINGKATAN LAYANAN Oktaviani, Intan; Widyaningsih, Pipin; Triana, Triana
Journal of Economic, Business and Engineering (JEBE) Vol 6 No 1 (2024): Oktober
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) Universitas Sains Al Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32500/jebe.v6i1.7061

Abstract

Di era digital yang terus berkembang, E-Commerce menghadapi tuntutan mendesak untuk menggabungkan teknologi canggih dalam rangka meningkatkan efisiensi operasional dan kepuasan pelanggan. Penelitian ini memfokuskan pada implementasi Customer Relationship Management (CRM) dalam sektor E-Commerce fashion, mengkaji pengaruh teknologi dan strategi CRM terhadap peningkatan layanan pelanggan dan penguatan hubungan dengan pelanggan. Tujuan utama dari penelitian ini adalah mengeksplorasi strategi CRM yang efektif yang bisa diintegrasikan ke dalam operasi bisnis E-Commerce fashion untuk maksimalisasi kepuasan pelanggan, peningkatan retensi pelanggan, dan mendorong pertumbuhan penjualan. Melalui metode kuantitatif dan kualitatif, penelitian ini mengevaluasi data dari berbagai sumber, termasuk survei pelanggan, wawancara dengan manajer, dan tinjauan terhadap sistem serta platform CRM yang digunakan. Hasil penelitian menunjukkan bahwa implementasi fitur personalisasi, dukungan pelanggan melalui berbagai kanal, dan segmentasi pasar yang efektif dalam CRM memberikan kontribusi besar terhadap kepuasan dan loyalitas pelanggan. Hasil ini menandakan bahwa integrasi CRM yang strategis dan berbasis teknologi dalam E-Commerce fashion tidak hanya memperbaiki efisiensi layanan, tetapi juga menguatkan hubungan dengan pelanggan, yang sangat penting dalam persaingan pasar saat ini.
PENERAPAN SISTEM CUSTOMER RELATIONSHIP MANAGEMENT (CRM) DALAM PENINGKATAN PENJUALAN PRODUK PADA WEBSITE PEMESANAN PERCETAKAN MADJOE OFFSET Triana, Triana; Oktaviani, Intan; Prasetia, Esa Galang
Journal of Economic, Business and Engineering (JEBE) Vol 6 No 1 (2024): Oktober
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) Universitas Sains Al Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32500/jebe.v6i1.8258

Abstract

Percetakan Madjoe Offset merupakan perusahaan yang bergerak di bidang percetakan offset di Surakarta. Selama ini, proses pemesanan dan pengelolaan data pelanggan masih dilakukan secara manual, sehingga menyebabkan ketidak efisienan dalam pelayanan dan pengelolaan data penjualan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk menerapkan sistem Customer Relationship Management (CRM) berbasis website guna meningkatkan penjualan produk serta memperbaiki hubungan dengan pelanggan. Sistem CRM yang diusulkan memungkinkan pelanggan untuk melakukan pemesanan secara online, mempermudah percetakan dalam mengelola data pesanan, serta meningkatkan interaksi dan komunikasi antara perusahaan dan pelanggan. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi operasional, mempercepat proses transaksi, dan meminimalisir kesalahan dalam pencatatan data. Metode penelitian yang digunakan adalah studi kasus dengan pendekatan desain sistem dan pengujian fungsionalitas. Hasil dari penelitian ini menunjukkan bahwa penerapan sistem CRM berbasis website dapat meningkatkan kepuasan pelanggan, mempercepat proses pemesanan, serta mendukung pertumbuhan penjualan produk di Percetakan Madjoe Offset. Dengan adanya sistem ini, diharapkan Percetakan Madjoe Offset dapat meningkatkan efisiensi operasional dan kualitas pelayanan, serta mencapai tujuan bisnis jangka panjang.