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All Journal Jurnal Inotera bit-Tech Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Jurnal PADMA: Pengabdian Dharma Masyarakat Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi Journal of Artificial Intelligence and Digital Business LOGIC : Jurnal Ilmu Komputer dan Pendidikan OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat
Nanang Nanang
Universitas Pamulang
Religion Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Social Sciences Other

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Design of an Automatic Device for Watering Jasmine Flower Plants Using a Soil Based Moisture Sensor Arduino Microcontroller Nanang
Jurnal Inotera Vol. 9 No. 1 (2024): January-June 2024
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol9.Iss1.2024.ID332

Abstract

The In everyday life, watering plants is a very important factor in maintaining and caring for jasmine plants. Water itself is a basic resource that supports the life needs of jasmine plants. If there is no water, the growth of jasmine flowers will be hampered, and the plant can even die. In general, watering plants is done conventionally, this is considered impossible to do in a short time, not to mention when the plant owner is far from where the plants are. In this case, an automatic device for watering jasmine plants was created using a pump controlled by the Arduino Uno, as well as using a soil moisture sensor to provide analog data to the Arduino Uno to regulate the on and off of the water pump based on the humidity that has been set and the use of the LCD module. I2C to display soil moisture, to make it easier for jasmine plant lovers to care for their plants in terms of watering. This research method was adopted from the prototype development method. The results of this research are that the pump can water plants when the humidity is < 30%, and the pump stops watering when the humidity is > 50%.
Perancangan Aplikasi Rekomendasi Produk Reksadana dengan Metode Content-Based Filtering Nanang; Rahmawati; Sukma Manggar Suci Putri
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2247

Abstract

Industri reksadana di Indonesia mengalami pertumbuhan pesat seiring dengan perkembangan teknologi, yang memunculkan berbagai pilihan produk investasi. Namun, calon investor sering mengalami kesulitan dalam menentukan produk yang sesuai dengan kebutuhan dan profil risiko mereka akibat kurangnya pemahaman terhadap karakteristik produk reksadana. Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi rekomendasi produk reksadana berbasis metode Content-Based Filtering guna membantu calon nasabah dalam memperoleh rekomendasi investasi yang lebih personal dan relevan. Metode penelitian yang digunakan mencakup perancangan dan implementasi sistem rekomendasi yang memanfaatkan karakteristik produk reksadana serta preferensi pengguna untuk menghasilkan rekomendasi yang sesuai. Hasil implementasi menunjukkan bahwa aplikasi ini berhasil memberikan informasi produk reksadana kepada calon nasabah serta membantu mereka dalam menentukan pilihan investasi yang lebih tepat. Selain itu, aplikasi ini juga mendukung PT Prospera Asset Management dalam meningkatkan efisiensi dan efektivitas proses rekomendasi produk reksadana, sekaligus memperkuat kinerja bisnis di bidang pengelolaan investasi. Dengan demikian, penelitian ini berkontribusi dalam memberikan solusi berbasis teknologi yang dapat meningkatkan literasi keuangan masyarakat dan mempermudah pengambilan keputusan investasi. Studi ini menunjukkan bahwa penerapan metode Content-Based Filtering dalam sistem rekomendasi investasi dapat meningkatkan pengalaman calon investor dan mendukung optimalisasi layanan manajemen investasi. Penelitian lebih lanjut dapat dilakukan untuk mengevaluasi kinerja aplikasi dengan pendekatan berbasis data pengguna dalam skala yang lebih luas.
Rancang Bangun Sistem Data Mining Untuk Analisis Tren Penjualan Dengan Algoritma K-Means (Studi Kasus: Toko Mainan Berkah 3R) Ryan Sugiarto; Nanang
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 03 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This study aims to analyze sales trends and classify products based on their sales performance using the K-Means clustering method at Toko Mainan Berkah 3R. The main issue addressed is the absence of a structured data analysis system to support decision-making related to stock management and marketing strategies. The research utilized sales transaction data from a specific period, which underwent data cleaning and normalization before the clustering process. The K-Means algorithm was applied by defining three clusters to categorize products into high, medium, and low sales groups. The findings indicate that the clustering results provide a clearer overview of product distribution and sales patterns, enabling store owners to prioritize inventory management and evaluate low-performing products. Therefore, the implementation of the K-Means method proves effective in supporting data-driven decision-making in retail businesses.
Implementasi Data Mining Dalam Pengolahan Data Simpan Pinjam Koperasi Menggunakan Metode K-Means Berbasis Website Latifah Ariffiani Khusna; Nanang
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/joaiia.v7i1.56774

Abstract

The Srikandi Savings and Loans Cooperative is a microfinance institution that plays an important role in supporting the economic needs of its members through savings and loan services. Along with the annual increase in the number of members and transactions, the cooperative still processes savings and loan transaction data manually using members’ cash books. In addition, financial report preparation is conducted through manual calculations and recapitulation, which is time-consuming and prone to calculation errors. Therefore, an effective and accurate data management system is required to improve cooperative operational efficiency. This study implements a website-based data mining approach using the K-Means clustering method to process savings and loan transaction data. The K-Means method is applied to group member transaction data based on similar characteristics, such as deposit frequency and loan amounts. The clustering results are expected to support cooperative management in decision-making processes, including determining loan limits, evaluating member loyalty, and developing strategies to improve service quality.
Analisis dan Pengembangan Sistem Informasi Point Of Sale (POS) Pada UMKM Mie Gaok Darren Hoir Putra; Muhammad Idham Kholid; Alvin Andrianto; Nanang Nanang
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.9281

Abstract

Penelitian ini bertujuan untuk menganalisis dan mengembangkan sistem informasi Point of Sale (POS) pada UMKM Mie Gaok guna meningkatkan efisiensi operasional transaksi penjualan. Latar belakang penelitian didasarkan pada permasalahan sistem kasir sebelumnya yang memiliki performa lambat, belum mendukung pengelolaan stok, serta masih menyebabkan penggunaan pencatatan manual ketika kondisi pelanggan ramai. Metode penelitian yang digunakan meliputi observasi, wawancara, studi pustaka, dan analisis sistem untuk mengidentifikasi kebutuhan pengguna dan kelemahan sistem berjalan. Pengembangan aplikasi dilakukan menggunakan framework React Native dengan dukungan Supabase sebagai backend-as-a-service dan database real-time. Sistem yang dirancang mencakup fitur autentikasi pengguna, pengelolaan produk, transaksi kasir, perhitungan pembayaran dan kembalian otomatis, manajemen bahan baku, pengelolaan resep, riwayat transaksi, serta stok opname. Perancangan sistem divisualisasikan melalui activity diagram, use case diagram, sequence diagram, class diagram, dan Entity Relationship Diagram untuk memastikan alur sistem berjalan terstruktur. Hasil pengujian menunjukkan seluruh fitur aplikasi berjalan dengan baik tanpa kendala signifikan serta mampu mempercepat proses transaksi dan meminimalkan kesalahan pencatatan pesanan. Implementasi sistem POS berbasis mobile ini juga membantu pemilik usaha dalam memantau laporan penjualan harian, mingguan, dan bulanan secara lebih akurat dan real-time. Dengan demikian, sistem yang dikembangkan dapat mendukung digitalisasi operasional UMKM Mie Gaok serta meningkatkan kualitas pelayanan kepada pelanggan secara efektif. Penelitian ini diharapkan menjadi referensi pengembangan aplikasi kasir mobile lainnya bagi UMKM yang membutuhkan sistem transaksi modern terintegrasi dan efisien berkelanjutan.
Perancangan Sistem Web Inventori Dan Produksi Menggunakan Metode Agile PT Intect Teknologi Dhamar Putra; Nanang
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 6 No 3 (2026): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v6i3.1962

Abstract

Manufacturers that rely on manual record-keeping and external third-party platforms commonly experience data inaccuracy, slow coordination, and weak traceability of component stock. This study designs and builds an independent web-based inventory and production management system for PT InTect Teknologi Indonesia, a projector manufacturer, to address those limitations. The application, named SCMS InTect, was developed using the Agile (iterative) approach so that its features could grow incrementally in line with internal requirements. It was implemented with the Laravel framework on the back end and Vue.js on the front end, and is built around Bill of Materials (BOM) management, dual-state stock tracking (available and reserved), and a tiered approval workflow spanning Staff, Manager, and Director. Functional validation through black-box testing across six modules—authentication, master data, purchase order, assembly, sales order, and after-sales service—returned a fully successful outcome, confirming that automatic stock mutation behaves correctly during goods receipt, assembly completion, delivery, and servicing. The results indicate that the system removes the company’s dependence on the external LabShare platform, lowers manual recording errors, and improves the accuracy and timeliness of inventory data. The work offers a practical reference for integrating production and inventory control in small manufacturers through agile, framework-based web development.
Co-Authors Abdul Latif Achmad Syarif Hidayatullah Ade Putra Prima Suhendri Adithya Indra Saputra Afiudin Bayu Seto Ahmad Aditia Prayoga Alvin Andrianto Amanda Dwi Cahyani Putri Amin Hidayat Aria Darmawan Ario Febri Putra Raharjo Ashil Ramadhan Azka Abdul Hafiz Darren Hoir Putra Dhamar Putra Dimas Wahyu Hidayat Dzaki Rohili Ela Fitria Hanifah Fadilahn Dzikril Fahrezky Fatihi Fauzan Al Ihsan Galih Rahmadani George Otniel Haetami Haetami Haidar Alfarisi Hendro Tirta Anggardi Hilman Firliansyah Indra Saputra Jaenudin Jaenudin Latifah Ariffiani Khusna Lely Andriyanto Lely Panca Andriyanto Lely Panca Andriyanto M. Rafli Nur Saputra Mak&#039;ruf Mak&#039;ruf Meidy Fajar Wahyu Meidy Fajar Wahyu Miftahul Ulum Muhamad Rafi’ul Fajar Muhammad Idham Kholid Muhammad Lutfi Ariski Muhammad Nur Fahrezi Nurmansyah Nurmansyah Rafli Febrian Qasthalani Rahmawati Retno Kusumaning Tyas Rio Rifaldi Ryan Sugiarto Sartika Lina Mulani Sukma Manggar Suci Putri Yuda Samudra