Claim Missing Document
Check
Articles

Found 2 Documents
Search

PEMETAAN KAWASAN TAMBANG BATUAN DI KABUPATEN SARMI MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (SIG) Agus Iksan; Harmonis Rante; Herbert Innah
Jurnal ELIPS (Ekonomi, Lingkungan, Infrastruktur, Pengembangan Wilayah, dan Sosial Budaya) Vol 7 No 1 (2024): Februari 2024
Publisher : Magister Perencanaan Wilayah dan Kota Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/jurnalelips.v7i1.4123

Abstract

The aim of this research is to identify and analyze rock mining areas in Sarmi Regency using GIS and identifying the types of open pit mines that can be used at these rock mining locations. The benefits of preparing this research are providing contributions to related agencies, providing information on rock mining areas, creating maps of rock mining areas using GIS, apart from that being able to design rock mining systems, as well as increasing insight for researchers and readers regarding mapping rock mining areas using the SiG application. The steps taken are to carry out observations or surveys of rock mining locations, conduct interviews with miners and residents around the mining area and document activities in the field. After the data is obtained, the data is then analyzed using descriptive analysis techniques. The tools used are GPS, drones and digital cameras. The variables used are a questionnaire and spatial type in the form of maps and attribute data containing data on rock mining locations in Sarmi Regency.
Determination of Glucose Solution Concentration Using Arduino-Based System Herbert Innah; Maniur Arianto Siahaan
Science Journal Get Press Vol 2 No 4 (2025): October, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v2i4.274

Abstract

Glucose is one of the most important biomolecules, playing a critical role in biological systems, food products, and clinical diagnostics. Conventional methods for glucose concentration measurement, such as spectrophotometry and enzymatic assays, although accurate, are often costly, time-consuming, and require skilled personnel. This study presents the development of a low-cost Arduino-based optical detection system for measuring glucose concentration using RGB LEDs as light sources and a photodiode sensor as the detector. The Arduino microcontroller processes voltage signals corresponding to light intensity and calculates absorbance values based on Beer-Lambert’s law. Calibration was performed using glucose solutions of varying concentrations, and the results indicated that the red LED source provided the most accurate and stable absorbance readings, with an average relative error below 5%. The proposed system offers an affordable, portable, and reliable alternative to conventional spectrophotometers, making it suitable for educational laboratories, small-scale food industries, and preliminary biomedical testing. Its implementation demonstrates the potential of microcontroller-based systems in enhancing accessibility to analytical tools in resource-limited environments.