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Journal of Scientific Insights
Published by CV. Science Tech Group
ISSN : -     EISSN : 30628571     DOI : -
Core Subject : Health, Education, Social, Engineering,
Education Engineering Public Health Social Sciences Other
Journal of Scientific Insights (JSI) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality research across a broad spectrum of disciplines. Emphasizing interdisciplinary collaboration, JSI welcomes original contributions that bridge science, engineering, technology, and other fields—such as health, education, social sciences, and economics—to address complex real-world problems. The journal particularly encourages work that applies innovative scientific and technological perspectives in support of the United Nations Sustainable Development Goals (SDGs).
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2025): February" : 5 Documents clear
Implementation of the Health Bailout Assistance Policy at the North Gorontalo District Health Service Rambulangi, Stenly Manuel; Gobel, Lisda Van; Koton , Yosef P.
Journal of Scientific Insights Vol. 2 No. 1 (2025): February
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i1.200

Abstract

The objectives of this research are: (1) To understand and analyze the implementation of the health bailout policy at the North Gorontalo District Health Service in terms of the degree of change desired, (who) implements the program, and the resources produced, (2) To know and analyze the inhibiting factors implementation of the health bailout policy at the North Gorontalo District Health Service. This research uses a qualitative approach with a descriptive research type.  The data consists of primary data from interviews with informants and observations and secondary data from document studies. The results of the research show that the implementation of the health bailout policy from the aspect of the degree of change desired, namely being a solution for the community and also beneficial for recipients of aid so that they get health insurance and provide the changes they want to achieve, the aspect of implementing the program, namely implementing the health bailout policy, is The Health Service manages the Regional Government of North Gorontalo Regency. In contrast, the resource aspect used is the facilities and infrastructure or health facilities available for health services at RSUD, but these health facilities are still inadequate. Furthermore, factors inhibiting policy implementation are limited human resources, which are insufficient and less competent, lack of government outreach to the community, and unclear population identification numbers, integrated data on social welfare for underprivileged communities, which causes the data to be invalid.
Honey Price Classification using K-Nearest Neighbor Machine Learning Budi Aribowo; Aprilia Tri Purwandari; Tsabitah, Nimah; Reudinta Zesha; Dwi Astharini
Journal of Scientific Insights Vol. 2 No. 1 (2025): February
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i1.222

Abstract

The global honey market faces significant challenges due to price inconsistencies, which often do not correlate with the actual quality of the honey. This research aims to develop a honey price classification model based on quality using the K-Nearest Neighbor (K-NN) machine learning method. The contribution in this research is a machine learning model that can classify honey prices validated by measured variables of honey concentration. Data was collected on 14 types of honey, focusing on price per 100 ml, pcategorized into 'cheap' and 'expensive' classifications. Data processing includes statistical testing using T-Test to determine the significance of price differences, followed by applying the K-NN algorithm for classification. Model performance is evaluated using metrics such as accuracy, the Receiver Operating Characteristic (ROC) curve, a graph used to evaluate the performance of binary classification models, and the Area Under the Curve (AUC). The results show that the K-NN model achieves an optimal accuracy of 100% and an AUC of 1.00 when the K parameter is set to 3, indicating excellent classification ability. It is hoped that these findings will increase market transparency, set fairer price standards, and help consumers and producers in making decisions in purchasing honey.
Insights into Enhancing English Pronunciation and Vocabulary through Drilling and Word Repetition Techniques Ihsani, Pelangi Fadhilah; Nanda, Deri Sis; Susanto, Susanto
Journal of Scientific Insights Vol. 2 No. 1 (2025): February
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i1.276

Abstract

Effective pronunciation and vocabulary acquisition are essential in English language learning, particularly for non-native speakers. Drilling and word repetition techniques are widely regarded as effective strategies for enhancing linguistic skills. This study examines the implementation and perceived effectiveness of these techniques in improving pronunciation, vocabulary, and comprehension among eleventh-grade students at SMK Swadhipa 1 Natar, Lampung Province, Indonesia. Using a qualitative descriptive approach, data were collected through a structured questionnaire comprising 25 questions, designed to assess students’ confidence, interest, and perceptions of the effectiveness of these methods. Out of 60 students, 29 participated, sharing valuable insights into their experiences and attitudes toward drilling and repetition techniques. The findings reveal that these methods are effective in improving pronunciation, grammatical understanding, and text comprehension. They also boost students’ confidence and interest by offering opportunities for repeated practice and corrective feedback. However, challenges such as pronunciation difficulties and a lack of confidence were reported, highlighting the need for adaptive and supportive teaching practices. This study underscores the importance of integrating repetitive learning approaches into English instruction to foster effective and engaging learning experiences.
Analysis of High Frequency and Low Frequency Charging Systems on 12VDC Solar Power System Batteries Firmansyah, Deni; Tharo, Zuraidah
Journal of Scientific Insights Vol. 2 No. 1 (2025): February
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i1.271

Abstract

Batteries are an essential product for alternative energy, required for various electronic devices and everyday human needs. Rechargeable batteries must be carefully managed to avoid quick damage due to improper charging systems or poor-quality chargers. Charging a 12V battery is done by continuously flowing current until the battery voltage reaches its specified value. As technology advances, many battery chargers are available on the market, using either high or low frequencies. By comparing the measurement results of high-frequency charging systems (using MOSFET and switching) and low-frequency systems (using transformers), we can draw conclusions that demonstrate the performance and quality of charging in these different systems.
Modeling the Impact of Traffic Density on Critical Gap Distribution at Unsignalized Intersections Al-Hussein Matar; Hazem Gamal; H. Abdelati, Mohamed
Journal of Scientific Insights Vol. 2 No. 1 (2025): February
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i1.287

Abstract

This study constructs mathematical models to evaluate the connection between critical gap dimensions and traffic flow volumes at traffic intersections without signals. Drivers need critical gap as the briefest gap between vehicles to safely move through the road. Traditional theoretical models maintain fixed traffic density patterns even though actual conditions from urban roads typically exhibit changing densities. Including fluctuating traffic density in this model will improve accuracy when studying how changing traffic conditions influence critical gap measurements. The model applies exponential distribution to compute acceptance probabilities of different gap sizes while traffic density adjusts. In more congested traffic conditions drivers accept shorter gaps because the critical gap becomes smaller. The conclusion matches what existing traffic flow theories have previously demonstrated. This model delivers meaningful information regarding traffic management procedures and road intersection design standards particularly for city areas experiencing shifting traffic congestion throughout the day.

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