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Jurnal Ilmiah Sains
Published by Universitas Sam Ratulangi
ISSN : 14123770     EISSN : 25409840     DOI : https://doi.org/10.35799/jis.v22i2.40961
Core Subject : Science, Education, Agriculture,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics
Jurnal Ilmiah Sains (Journal of Scientific Sciences) is the Journals Published by Faculty of Mathematics and Natural Sciences, Sam Ratulangi University. Jurnal Ilmiah Sains Published Twice a Year, i.e April and October. Jurnal Ilmiah Sains  welcomes full research articles in the area of Mathematics and Natural Sciences from the following subject areas: Mathematics Statistics Computer Science Physics Chemistry Biology
Arjuna Subject : Umum - Umum
Articles 7 Documents
 1 
Search results for , issue "Volume 26 Issue 1, April 2026" : 7 Documents clear
Macrozoobenthos Abundance in Summer Beach Muara Badak, Kutai Kartanegara Regency Midlan Witrawan; Irma Suryana; Irwan Ramadhan Ritonga
Jurnal Ilmiah Sains Volume 26 Issue 1, April 2026
Publisher : Sam Ratulangi University, Manado, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v26i1.56711

Abstract

Macrozoobenthos serves as a sensitive bioindicator for changes in aquatic environmental conditions, particularly in coastal areas vulnerable to anthropogenic pressures. This study aims to identify species composition and analyze the abundance of macrozoobenthos in the Summer Beach area, Muara Badak, Kutai Kartanegara Regency. Sampling was conducted from January to April 2024 at three stations using the line transect and quadrat plot method. The results identified 14 macrozoobenthos species belonging to 10 genera from the class Gastropoda (Babylonia formosae, Eunaticina albosutura, Murex tribulus, Telescopium telescopium, Indothais blanfordi, Cerithidea cingulata, Turritella terebra, Brunneifusus ternatanus, Nassarius olivaceus, Olivella biplicata) and 4 genera from the class Bivalvia (Tegillarca granosa, Geloina expansa, Heteranomia squamula, Chamelea gallina). Ecological index analysis showed moderate diversity (H’), high evenness (E), and low dominance (C) values at all stations. Correlation analysis revealed a strong relationship between phosphate concentration and macrozoobenthos abundance, while the relationship with nitrate was very weak. These findings indicate that phosphate is a key parameter influencing the macrozoobenthos community structure at the study site.
Sistem Monitoring Arus dan Tegangan Pada Panel Surya 50Wp Berbasis IoT Suoth, Verna Albert; Pandara, Dolfie Paulus; Kolibu, Hesky Stevy
Jurnal Ilmiah Sains Volume 26 Issue 1, April 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v26i1.64415

Abstract

The utilization of small-scale solar panels, particularly those with a capacity of 50 Wp, has become increasingly widespread in household systems and remote areas. However, the lack of adequate monitoring systems makes it difficult for users to identify actual panel performance, causing efficiency degradation to often go undetected at an early stage. This study aims to develop a current and voltage monitoring system for a 50 Wp solar panel based on the Internet of Things (IoT) that is capable of providing real-time performance data to support performance evaluation and more efficient energy management. The system was developed using current and voltage sensors, an ESP32 microcontroller, and a cloud-based IoT application for data visualization. The test results indicate that the system is able to monitor daily variations in current and voltage with good accuracy and stable data transmission. The measured output power of the solar panel ranges from 1 to 1.4 W, or approximately 2–3% of the nominal capacity, which is influenced by solar radiation intensity, panel temperature, and system losses. The proposed IoT-based monitoring system has proven effective in recording the actual performance of the solar panel and providing real-time information that is useful for performance evaluation and optimization of small-scale solar energy utilization.
Etnopharmacy Study of Medical Plants in Sulawesi Kauntu, Rafael; Zuhrotun, Ade; Iskandar, Yoppi
Jurnal Ilmiah Sains Volume 26 Issue 1, April 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v26i1.65912

Abstract

Sulawesi Island, Indonesia, is recognized for its high biodiversity and rich cultural diversity, both of which contribute to the extensive use of medicinal plants in traditional healthcare systems. The increasing global interest in plant-based medicine—driven by the rising prevalence of chronic diseases, antimicrobial resistance, and concerns regarding the adverse effects of synthetic drugs—highlights the importance of documenting regional ethnopharmaceutical knowledge. This study aims to synthesize available literature on medicinal plants traditionally used by communities in Sulawesi. A systematic literature review was conducted using electronic databases, including Google Scholar, PubMed, and Elsevier, covering publications from 2014 to 2025. Articles were screened based on predefined inclusion criteria, resulting in 20 eligible studies. The findings identified 17 plant species used across six provinces, with leaves as the most frequently utilized plant part (64.70%) and decoction as the predominant preparation method (47.05%). Five representative species—Ficus septica, Lansium domesticum, Blumea balsamifera, Cymbopogon citratus, and Piper betle—demonstrate pharmacological potential supported by phytochemical and experimental evidence. Although traditional use aligns with emerging scientific findings, clinical validation and standardization remain limited. These results emphasize the urgency of systematic documentation and rigorous scientific evaluation of medicinal plants in Sulawesi to support biodiversity conservation and future drug discovery initiatives.
Chemical Characterization and Antioxidant Activity of Ethanol and n-Hexane Extract of Pangi Leaves (Pangium edule Reinw. ex Blume) Jonathan Cavin Ezra Sinaga; Hartanto Bisma; Josua Tampara; Max Revolta John Runtuwene; Vanda Selvana Kamu; Dewa Gede Katja; Lidya Irma Momuat
Jurnal Ilmiah Sains Volume 26 Issue 1, April 2026
Publisher : Sam Ratulangi University, Manado, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v26i1.63487

Abstract

Pangi leaves (Pangium edule Reinw. ex Blume) are a type of plant that is often consumed by the people of North Sulawesi. This study aims to determine the total phenolic content, chemical characterization using GC-MS and FTIR, and antioxidant activity of pangi leaves using solvents that have different polarities. Total phenolics were measured using the Folin-Ciocalteu method. Antioxidant activity was evaluated using the DPPH method. The total phenolic content showed that the ethanol extract had a content of 17.94 μg/mL and the n-hexane extract was 12.94 μg/mL. The ethanol extract (IC50 = 656.39 μg/mL) had better antioxidant activity than the n-hexane extract (IC50 = 1991.76 μg/mL). Based on the GCMS results, 19 compounds were obtained from the ethanol extract and 16 compounds from the n-hexane extract. The FTIR results of the ethanol extract and n-hexane extract have functional groups -OH, aliphatic C-H, C=C (alkene or aromatic), C=O, and C-O. Keywords: Antioxidants; GCMS analysis; FTIR analysis; pangi leaves; DPPH
Object Recognition for Ingredient Detection and Recipe Retrieval Using Single Shot Multibox Detector William Olii; Debby Paseru; Junaidy Sanger
Jurnal Ilmiah Sains Volume 26 Issue 1, April 2026
Publisher : Sam Ratulangi University, Manado, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v26i1.66334

Abstract

Object recognition has become an essential area of computer vision, enabling systems to identify and classify visual information for practical, everyday applications. This study aims to develop an object-recognition system capable of detecting common food ingredients and retrieving suitable recipes to assist users in cooking decisions. The research employs a dataset of 1,800 images representing six vegetable categories and implements the Single Shot Multibox Detector within an application that integrates automated recipe retrieval through a conversational artificial intelligence model. The system is evaluated through functional testing, scenario-based testing, and quantitative performance measurement using established object-recognition metrics. The results show that the model performs most effectively with an eighty–twenty training–testing split, achieving high precision and robust detection across varied lighting conditions, backgrounds, and object distances. The study also demonstrates that the system successfully identifies multiple ingredients within a single image and provides relevant recipe suggestions. These findings indicate that the approach can support domestic decision-making by connecting real-time ingredient recognition with intelligent retrieval of cooking information. The outcomes highlight the practical potential of object recognition for daily-use applications and suggest directions for expanding ingredient categories and improving detection accuracy in future work. Keywords: Ingredient detection; object recognition; recipe retrieval
Hydrogeophysical Characterization of Volcanic Aquifers Using Integrated Resistivity and Induced Polarization in Mount Tumpa, Manado As'ari As'ari; Seni Herlina J. Tongkukut; Mahendra Kusuma Nugraha
Jurnal Ilmiah Sains Volume 26 Issue 1, April 2026
Publisher : Sam Ratulangi University, Manado, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v26i1.65145

Abstract

This study investigates the aquifer system in the Mount Tumpa area, North Sulawesi, Indonesia, using integrated electrical resistivity and induced polarization (IP) methods. Data were acquired with a dipole–dipole array, enabling high lateral resolution of subsurface heterogeneity. Resistivity inversion was used to delineate aquifer geometry, while IP data were analyzed to identify zones of enhanced electrochemical polarization related to lithological and mineralogical variations. Aquifer zones are characterized by low resistivity values (< 9.17 Ωm). On Line 1, an aquifer is identified at 100–130 m and depths of 15–25 m; on Line 2, at 215–230 m and depths of 10–20 m. On Line 3, three distinct aquifer units are resolved: (1) 150–175 m at depths ≥ 75 m, (2) 220–235 m at 30–40 m, and (3) 285–305 m at 35–45 m. These findings indicate a multi-layered groundwater system with variable depth distribution. Chargeability responses are high on Lines 1 and 3 and moderate on Line 2, suggesting the presence of polarizable materials such as volcanic clay, iron oxides, and organic-rich layers. These materials may influence groundwater geochemical behavior through adsorption and redox processes; however, IP responses do not directly indicate groundwater quality in the absence of hydrochemical data. The subsurface is interpreted as a layered volcanic aquifer system, where groundwater is primarily hosted in permeable lapilli and volcanic ash deposits overlying compact lava, with additional storage in fractured lava zones. The identified aquifers are interpreted as shallow to intermediate systems based on geophysical evidence, although further hydrogeological validation is required. Keywords: resistivity method; induced polarization; chargeability; Mount Tumpa; aquifer characterization
Frequency-Dependent Magnetic Susceptibility of Sediments of Lake Tondano, Minahasa, North Sulawesi Vistarani Arini Tiwow; Meytij Jeanne Rampe; Ishak Pawarangan; Muhammad Arsyad; Sayenne Givenshe Pungus; Gita Gratia Patris Nangka; Igreya Mitchell Kumendong; Oksan Prasetio Mundiahi
Jurnal Ilmiah Sains Volume 26 Issue 1, April 2026
Publisher : Sam Ratulangi University, Manado, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jis.v26i1.65698

Abstract

A study has been conducted on frequency-dependent magnetic susceptibility in sediments of Lake Tondano, Minahasa, North Sulawesi. This study aims to analyze the types of minerals, grain sizes, and magnetic domains in sediment samples of Lake Tondano. The method used is the rock magnetism method, specifically the magnetic susceptibility parameters. Magnetic susceptibility measurements used a Bartington susceptibility meter that works at two frequencies, namely 470 Hz and 4700 Hz. The results obtained are sediment samples are indicated to contain ferrimagnetic minerals. The grain size distribution in sediment samples is predominantly fine <0.03 µm. The frequency-dependent magnetic susceptibility value χFD% is dominantly more than 2%, indicating the magnetic domain in sediment samples of Lake Tondano are a mixture of superparamagnetic (SP) and single-stable-domain (SSD). Keywords: Magnetic domains; magnetic minerals; lake sediments; magnetic susceptibility; magnetic grain size

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