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All Journal Jurnal Qua Teknika Barongko : Jurnal Ilmu Kesehatan Journal of Computer Science and Information Technology
Marcellino, Mario
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences

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ANALISIS DATASET ESTIMASI PENJUALAN PRODUK PADA CAFÉ FOR GOOD LUCK MENGGUNAKAN ALGORITMA APRIOR Pramudita, Angga; Hardianto, Yohanes Dwi; Marcellino, Mario; Thiodoris, Fernando Fransiskus; Kristi, Canida lioni
Journal of Computer Science and Information Technology Vol. 2 No. 1 (2024): Desember
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v2i1.1739

Abstract

Penelitian ini bertujuan untuk mengembangkan dan menganalisis dataset estimasi penjualan produk pada CaféForGoodLuck menggunakan metode Apriori untuk menemukan pola penjualan produk yang saling berhubungan. Dalam era perdagangan modern yang berkembang pesat, analisis pola transaksi konsumen menjadi sangat penting untuk memahami perilaku pembelian dan mengoptimalkan strategi pemasaran. Metode Apriori digunakan untuk mengidentifikasi asosiasi antara produk yang sering dibeli bersamaan oleh konsumen. Dataset yang digunakan berisi data transaksi CaféForGoodLuck yang meliputi berbagai kategori produk dan informasi transaksi pembelian. Hasil dari analisis ini diharapkan dapat memberikan wawasan bagi pemilik caffe untuk meningkatkan strategi promosi dan pengelolaan inventaris produk, serta membantu dalam penentuan rekomendasi produk yang relevan bagi konsumen. Metode ini juga dapat dimanfaatkan oleh caffe lainnya untuk meningkatkan pengalaman belanja pelanggan dan efisiensi operasional.
Prototype Robot Penghisap Debu Otomatis Menggunakan Arduino Uno Dan Sensor Ultrasonic Marcellino, Mario
Jurnal Qua Teknika Vol 15 No 01 (2025): Maret 2025
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/quateknika.v15i01.4326

Abstract

This research aims to develop a prototype of an automatic vacuum cleaning robot using Arduino Uno and ultrasonic sensors to assist in maintaining cleanliness in spaces without the need for routine manual cleaning. The robot is designed with a mini vacuum motor that activates when the robot is turned on and moves autonomously based on data from the ultrasonic sensor, which detects obstacles in front of it. When the robot detects an object at a distance of less than 20 cm, it will reverse and turn right to avoid the obstacle. If the distance is more than 20 cm, the robot continues moving forward. The main components used include Arduino Uno as the central controller, DC motors for movement, a vacuum motor for dust collection, and a battery as the power source. Testing involving users and two technology experts demonstrated that the robot performs as expected, achieving a success rate of 94%. This result indicates that the automatic vacuum cleaning robot is effective for cleaning dry surfaces such as ceramic or wooden floors, providing a practical solution for homeowners with limited time to maintain cleanliness.
Peran Status Zat Besi Dan Gizi Makro-Mikro Sebagai Determinan Risiko Infeksi Cacing Usus (STH) Pada Anak Di Daerah Endemis Hidana, Rachma; Nababan, Diana Listy L.P.; Ridwan, Muhammad Rafif; Sidik, Ahmad Fajar; Pertiwi, Intan Putri; M, Nur Khalisha Yahya; Subkhi, M. Umar; Marcellino, Mario; Cesia, Maria Kasih; Naziihah, Naura Adhwa; Fajri, Andi Muhammad; Apsari, Shafira Nova
Barongko: Jurnal Ilmu Kesehatan Vol. 3 No. 3 (2025): Barongko : Jurnal Ilmu Kesehatan (Juli)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/bajik.v3i3.739

Abstract

Soil-Transmitted Helminths (STH) remain a significant public health problem in endemic areas, especially among children. STH infections contribute to decreased nutritional status, iron deficiency anemia, and growth and cognitive disorders. This literature review aims to analyze the relationship between iron status, macro- and micronutrient intake, and the risk of STH infection in children. Articles were searched through Google Scholar, PubMed, ScienceDirect, and Web of Science with inclusion criteria covering publications from 2015–2025, observational studies on children under 18 years old, and discussions on the link between nutritional status and STH. The results show that STH infections cause anemia through intestinal bleeding, malabsorption, and chronic inflammation that increases hepcidin levels. Deficiencies in protein, energy, iron, zinc, and vitamin A can weaken immunity and worsen the cycle of malnutrition. Relying solely on mass deworming programs is insufficient without improvements in sanitation, nutrition education, and supplementation of essential nutrients. It is expected that this review can serve as a basis for holistic intervention recommendations to reduce the prevalence of STH infections among children in endemic areas.
Co-Authors Angga Pramudita Apsari, Shafira Nova Cesia, Maria Kasih Fajri, Andi Muhammad Hardianto, Yohanes Dwi Hidana, Rachma Kristi, Canida lioni M, Nur Khalisha Yahya Nababan, Diana Listy L.P. Naziihah, Naura Adhwa Pertiwi, Intan Putri Ridwan, Muhammad Rafif Sidik, Ahmad Fajar Subkhi, M. Umar Thiodoris, Fernando Fransiskus