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Perbaikan Teknik Bangkit Sobel & Canny Edge Menggunakan Operasi Morfologi Matematika Adhy Rizaldy; Rachmat
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 4 No 2 (2020)
Publisher : Politeknik Dharma Patria Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v4i2.269

Abstract

Saat ini beberapa metode yang peneliti gunakan untuk mempermudah pengolahan citra yaitu metode filtrasi, penghilangan noise, dan deteksi tepi. Masing-masing memiliki banyak cara khusus untuk menyempurnakan gambar atau membantu pemrosesan langkah selanjutnya. Untuk bidang tertentu seperti kesehatan dan kedokteran atau citra bangunan 2D, beberapa penelitian menggunakan pendekatan morfologi dan non morfologi. Pendekatan morfologi yang digunakan seperti algoritma Dilation, Opening atau Erotion telah menarik perhatian siswa sejak beberapa dekade terakhir. Dalam makalah ini, kami membahas implementasi Pembukaan dan Dilatasi untuk jenis citra tertentu. Menghasilkan judul ini, kami mendapatkan beberapa tingkat perbaikan untuk beberapa tujuan seperti deteksi tepi. Dan pada hasil percobaan didapatkan bahwa operasi morfologi sesuai untuk meningkatkan metode deteksi tepi yang sobel dan cerdik.
SISTEM PENENTUAN KEPUTUSAN KELAYAKAN PENERIMA KREDIT MENGGUNAKAN METODE ROC - SAW : DECISION ELIGIBILITY DECISION SYSTEM OF CREDIT RECEIVER USING ROC - SAW METHOD Bagus Kusuma Wijaya; I Gede Iwan Sudipa; Rachmat; I Komang Wiratama; Ni Made Chintya Sasri
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 2 No. 2 (2022): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1372.748 KB) | DOI: 10.55606/juisik.v2i2.167

Abstract

The Bali Mandiri Cooperative is a cooperative that operates in the savings and loan sector. Data processing of savings and loan activities submitted in credit applications is still done manually so that the credit department must make the right decisions, especially if there are doubts in determining decisions for prospective borrowers, where the doubts are because the criteria for prospective borrowers are almost the same, this is having an impact on the company if the wrong decision occurs in the event of bad credit. The decision support system using Rank Order Centroid (ROC) calculations and the Simple Additive Weighting (SAW) method compares manual and system calculations that show the same results. This system includes data management which provides for managing data criteria, attribute value data, and submitting data (credit applicant data, data selection period, data submission, and decision support system process). This data will produce a credit applicant report and a credit applicant selection report.
Urgensi Kualitas Pelayanan Bagi Penumpang Transportasi Rachmat; Nanang Juhandi
International Journal Administration, Business & Organization Vol 1 No 1 (2020): Ijabo
Publisher : Asosiasi Ahli Administrasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (169.267 KB) | DOI: 10.61242/ijabo.20.23

Abstract

This research analyzes the effect of service quality on passengers' satisfaction. The method used in this research is the sampling incidental method. The total sample of this research is 150 people. Quantitative data analysis methods are used to discuss the problems. The object of this research is a transportation company. This research will discuss the effect of service quality on satisfaction received by the passengers. It should be said that the company has provided a fairly good service quality to passengers so that they feel quite satisfied with the quality provided. However, the company will continue to strive to be better in improving service quality so that passengers' satisfaction is met properly.
Pemanfaatan Bakteri Fotosintetik Dan Asap Cair Dalam Formulasi Pupuk Hayati Untuk Meningkatkan Produksi Jagung Pulut (Zea Mays Ceratina) : Utilization of Photosynthetic Bacteria and Liquid Smoke in Biofertilizer Formulation to Increase Glutinous Corn Production (Zea Mays Ceratina) ramli, ahmadi; Ramli; Aimanah, Ummu; Rachmat
Jurnal Agrisistem Vol. 21 No. 1 (2025): Jurnal Agrisistem
Publisher : Unit Penelitian dan Pengabdian Masyarakat Politeknik Pembangunan Pertanian Gowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52625/j-agr.v21i1.496

Abstract

Penggunaan pupuk kimia dan pestisida dalam budidaya jagung pulut (Zea mays ceratina) masih menjadi praktik umum yang memberikan hasil jangka pendek, namun berdampak negatif terhadap lingkungan dan kesehatan manusia. Oleh karena itu, diperlukan inovasi dalam pemupukan dan pengendalian hama berbasis ramah lingkungan melalui pendekatan hayati. Penelitian ini bertujuan untuk mengkaji pengaruh kombinasi bakteri fotosintetik (Photosynthetic Bacteria/PSB) dan asap cair sebagai pupuk hayati terhadap pertumbuhan dan produksi jagung pulut. PSB merupakan bakteri autotrofik yang mampu mengubah bahan organik menjadi asam amino dan senyawa aktif biologis yang bermanfaat bagi tanaman. Sementara itu, asap cair yang berasal dari pirolisis bahan organik seperti sekam padi dan serbuk gergaji, terbukti efektif sebagai pestisida nabati yang mampu menekan serangan hama secara signifikan. Penelitian ini diharapkan mampu memberikan alternatif teknologi pertanian yang berkelanjutan, meningkatkan produktivitas jagung pulut, serta mengurangi ketergantungan petani terhadap input pertanian berbasis kimia. Hasil yang diperoleh dari kombinasi perlakuan ini diharapkan memberikan dampak positif terhadap pertumbuhan, bobot tongkol, dan ketahanan tanaman terhadap serangan organisme pengganggu.
Application of Computer Vision for Customer Insights: Demographics and Visit Duration in Coffee Shops Faisal; Rachmat; Saleh, Husna; Irfan; As’ad, Muhammad
Research Horizon Vol. 5 No. 5 (2025): Research Horizon - October 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.5.2025.811

Abstract

The coffee shop industry is increasingly competitive, requiring business owners to adopt data-driven strategies rather than rely solely on intuition, as traditional approaches such as surveys and manual observation are often subjective, time-consuming, and lack scalability. This study aims to design, implement, and evaluate an end-to-end intelligent system based on computer vision to automatically and non-intrusively analyze customer demographics (age and gender) and visit duration (dwell time). The proposed framework emphasizes both technical accuracy and privacy-by-design principles, where facial data is processed in real time without storage, and only anonymized metadata is utilized for business analysis. Using a simulated 60-minute test video containing 50 virtual customers with balanced gender, varied age groups, and predetermined visit durations, the system was evaluated and demonstrated strong performance, achieving 96% accuracy in gender classification, 89% in age group classification, and a Mean Absolute Error (MAE) of less than 45 seconds in dwell time measurement. The findings confirm that the ethical application of computer vision can provide valuable business insights, including the identification of demographic-based peak hours, the recognition of product preferences, and the optimization of spatial layouts, ultimately enabling coffee shops and SMEs to enhance competitiveness and profitability through data-driven decision-making.