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Studi Pendahuluan: Perancangan Web SIG Pendukung Keputusan Untuk Penentuan Lokasi Hutan Kota Balikpapan Fahrul Agus; Muhamad Azhari; Amelia Armanda; Wardana Silalahi; Kusnandar Kusnandar
Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer Vol 12, No 2 (2017): Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.81 KB) | DOI: 10.30872/jim.v12i2.781

Abstract

Balikpapan adalah salah satu kota besar yang berada di Provinsi Kalimantan Timur dengan luas wilayahmencapai 843,48 KM2.. Berdasarkan RTRW Kota Balikpapan 2012-2032 pemerintah kota ini telah menetapkan52% sebagai kawasan hijau dan 48% kawasan terbangun. Penelitian ini bertujuan membuat studi pendahuluanmengenai perancangan WebSIG pendukung keputusan untuk penentuan lokasi RTH Kota Balikpapan.Penelitian ini dilakukan dengan metode survey mendalam untuk melihat kondisi RTH Kota Balikpapan sertawawancara dengan responden key-person untuk mengetahui metode pengelolaannya. Penelitian inimenghasilkan deskripsi keberadaan RTH Kota Balikpapan serta analisis pendahuluan terhadap penerapanmetode Analytical Hierarchy Process (AHP) pada kriteria penentuan lokasi hutan kota.
PENERAPAN GRAPH-COLORING UNTUK REKOMENDASI PUSAT OLEH-OLEH KHAS SAMARINDA Amelia Yusnita; Kusnandar Kusnandar; Dewi Rosita
Jurnal Ilmiah Matrik Vol 23 No 2 (2021): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v23i2.1426

Abstract

There are too many souvenir centers in Samarinda. Usually, it makes everyone confused to choose it, and it takes a long time to decide. This is one of the most common problems. In determining the location of the souvenir center, it is necessary to use place recommendations to save time. Therefore we need a system and method that can be applied to recommend a souvenir center. The souvenir center place recommendation application is made to help everyone in finding a souvenir center place with a choice of types of souvenirs. The method used is the Graph Coloring Method; with the application development method used is Waterfall consisting of data analysis, technology analysis, system analysis, information analysis and user analysis. The result of this research is that an application for determining the souvenir center, that application ion can recommend a center for souvenirs with the same choice of souvenirs. Users can input the type of souvenirs that they want, and then the application will recommend the center of the souvenirs by using a simple row and point coloring algorithm. After processing, the application will be able to display the results of recommendations for souvenir centers with the same type of souvenirs.
ANALISIS PERANCANGAN E-COMMERCE TART & CAKE FAFA CHEESE BERBASIS WEB Kusnandar Kusnandar; Ita Arfyanti; Nursobah Nursobah
Jurnal Ilmiah Matrik Vol 23 No 2 (2021): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v23i2.1450

Abstract

This study discusses about e-commerce analysis and design at the Fafa Cheese shop. The sales system is still done manually, monthly data reports are still done in recording into a book which can lost sales reports, and there is no price information and tart sold, it is necessary to have the delivery status of the tart sold. The development of this sales information system uses the waterfall development system. This study aims to design an online cake sales application, provide information about prices and cakes sold and provide information that cakes have been sent to customers. The results of this study are the creation of e-commerce design, making it easier to make monthly reports, the availability of price information and cakes sold, and the status of cake delivery if the cake has been sent to the customer.
The Geographic Information System Development for Selection of Green Open Space in Urban Densely Area Fahrul Agus; Ramadiani Ramadiani; Muhamad Azhari; Sawung AW.; Wardana S.; Amelia A.; Kusnandar Kusnandar
JURNAL INFOTEL Vol 10 No 3 (2018): August 2018
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v10i3.377

Abstract

Utilization of integrated Decision Support System and GIS as one of the intelligent computerized system can be used to help make decisions quickly, accurately, and consistently. This research aims to apply Simple Additive Weighting (SAW) and built application system with ArcGIS platform to determination of urban Green Open Space (GOS) location in densely populated area. The study was conducted in Samarinda City, used secondary data and obtained from the Sanitation and Gardening Agency. Data were collected by survey and interview with experts and using Waterfall Framework for software development method. The research has resulted the priority sequence of GOS location of densely area of Samarinda City. The first priority location is the location under Juanda Flyover Bridge. Research has also developed Web based GIS software application of GOS location determination using SAW technique.
Implementasi Sistem Kasir Otomatis dengan Barcode Scanner Berbasis PHP dan MySql pada Toko Sembako Ayuni Muhammad Jumal Sandika; Salmon Salmon; Kusnandar Kusnandar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9054

Abstract

Abstrak - Perkembangan teknologi informasi telah mendorong banyak usaha, termasuk toko ritel, untuk meningkatkan efisiensi operasional. Toko Sembako Ayuni sebagai salah satu usaha mikro membutuhkan sistem kasir yang lebih cepat dan akurat untuk meminimalisir kesalahan transaksi dan antrean pelanggan. Penelitian ini bertujuan untuk mengimplementasikan Sistem Kasir Otomatis berbasis PHP dan MySQL dengan memanfaatkan barcode scanner guna mempercepat proses transaksi, meningkatkan akurasi pencatatan inventaris, dan menyediakan laporan penjualan secara real-time. Proses  dalam  pengembangan sistem menggunakan metodologi waterfall SDLC (System Development Live Cycle) berorientasi objek yang meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Hasil pengujian menunjukkan bahwa sistem ini mampu mengurangi waktu transaksi hingga 50% dibandingkan metode manual serta meminimalkan kesalahan input data. Dengan adanya sistem ini, Toko Ayuni dapat mengoptimalkan proses penjualan, manajemen stok, dan pelaporan keuangan secara lebih efisien. Penelitian ini diharapkan menjadi referensi untuk pengembangan sistem serupa di usaha mikro lainnya.Kata Kunci: Sistem Kasir; Barcode Scanner; PHP; MySQL; Toko Sembako; Otomatisasi. Abstract - The advancement of information technology has encouraged many businesses, including retail stores, to improve operational efficiency. Ayuni Grocery Store, as a micro-enterprise, requires a faster and more accurate cashier system to minimize transaction errors and customer queues. This research aims to implement an Automated Cashier System using a Barcode Scanner based on PHP and MySQL to accelerate transaction processes, improve inventory recording accuracy, and provide real-time sales reports. The system development method uses the Waterfall SDLC (System Development Life Cycle) methodology, which includes requirements analysis, design, implementation, testing, and maintenance. Test results show that the system successfully reduces transaction time by up to 50% compared to manual methods while minimizing data input errors. With this system, Ayuni Store can optimize sales processes, stock management, and financial reporting more efficiently. This research is expected to serve as a reference for developing similar systems in other micro-enterprises.Keywords: Cashier System; Barcode Scanner; PHP; MySQL; Grocery Store; Automation.
Implementasi Sistem Rekomendasi Makanan Berbasis Web Menggunakan Metode Collaborative Filtering di Mixue Nolan Melambi; Kusno Harianto; Kusnandar Kusnandar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9194

Abstract

Abstrak - Industri kuliner di Indonesia, khususnya jaringan kedai es krim Mixue, menghadapi tantangan dalam memberikan rekomendasi menu yang tepat kepada pelanggan. Dengan beragamnya pilihan menu dan preferensi individu yang berbeda, sistem rekomendasi yang efektif sangat diperlukan untuk meningkatkan pengalaman pelanggan dan penjualan. Penelitian ini bertujuan untuk mengembangkan sistem rekomendasi makanan di Mixue menggunakan metode collaborative filtering, khususnya pendekatan item-based collaborative filtering, yang memanfaatkan data transaksi pelanggan untuk memberikan saran menu yang relevan. Metodologi yang digunakan mencakup pengumpulan data transaksi pelanggan, perhitungan kesamaan antar item menggunakan metrik cosine similarity, dan pembangunan model rekomendasi berbasis algoritma k-nearest neighbors (k-NN). Sistem ini diintegrasikan dengan aplikasi Mixue,memungkinkan rekomendasi menu ditampilkan secara real-time kepada pengguna.Kata Kunci: Mixue; Sistem rekomendasi; Collaborative filtering; Item-based; k-Nearest Neighbors. Abstract - The culinary industry in Indonesia, particularly the Mixue ice cream shop network, faces challenges in providing the right menu recommendations to customers. With a variety of menu options and different individual preferences, an effective recommendation system is essential to enhance customer experience and sales. This study aims to develop a food recommendation system at Mixue using the collaborative filtering method, specifically an item-based collaborative filtering approach, which utilizes customer transaction data to provide relevant menu suggestions. The methodology used includes collecting customer transaction data, calculating item similarities using the cosine similarity metric, and building a recommendation model based on the k-nearest neighbors (k-NN) algorithm. This system is integrated with the Mixue application database, allowing menu recommendations to be displayed in real-time to users.Keywords: Mixue; Recommendation system; Collaborative filtering; Item-based; k-Nearest Neighbors.