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All Journal International Journal of Health, Engineering and Technology Jurnal Ilmiah Ekonomi, Akuntansi dan Pajak Flora: Jurnal Kajian Ilmu Pertanian dan Perkebunan Strada Jurnal Ilmiah Kesehatan (SJIK)
Irvan Maulana
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Dentistry Economics, Econometrics & Finance Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Peran Aspek Keuangan dalam Studi Kelayakan Bisnis Start-Up di Era Digital Fadhil Musyafa; Ahlamul Jaris Gea; Irvan Maulana; Muhammad Hafiz; Mutiah Khaira Sihotang
Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak Vol. 2 No. 1 (2025): Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak (JIEAP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jieap.v2i1.781

Abstract

A business feasibility study is an in-depth analysis process to assess whether a business or project is feasible to run. This process includes a review of various interrelated aspects, such as market aspects, finance, field facts, and other factors. The market aspect focuses on demand, supply, and competition in the market that is the target of the business, while the financial aspect assesses the business's ability to generate profits and meet financial obligations. Financial analysis involves planning funds, capital structure, and estimating costs and revenues needed for operations. Investment, financing, and dividend decisions are very important in managing a company's finances, especially for start-up companies. The use of analysis tools such as financial ratios and the Economic Value Added (EVA) method allows companies to assess their financial performance and efficiency. Risk analysis is also an important part of decision making to minimize potential losses. Overall, a business feasibility study helps companies plan long-term strategies, manage risks, and ensure the continuity and growth of their business.
Online Gender-Based Violence Among Adolescents In Kediri City Eko Winarti; Yeni Lufiana Novita Agnes; Indah Jayani; Irvan Maulana; Aim Matun Nadhiroh
STRADA : Jurnal Ilmiah Kesehatan Vol. 14 No. 1 (2025): May
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/sjik.v14i1.1227

Abstract

This study investigates the incidence, forms, and psychological impacts of Online Gender-Based Violence (OGBV) among adolescents in Kediri City. Employing a quantitative descriptive design, data were collected via online questionnaires from 363 respondents aged 10–19 years in August 2024. Results indicate that 28% of adolescents have encountered gender-based violence online, with 52.9% aware of perpetrators, often friends or acquaintances. Sexual threats, disparaging remarks, and sharing content without consent are the most prevalent types. Because social media use is so common among teenagers, the findings show how exposed they are to OGBV, underscoring the need for strong policy frameworks and focused digital safety education.
Efisiensi Usahatani Padi (Oryza Sativa) Di Dusun Menganti Desa Karangsemanding Kecamatan Balongpanggang Gresik Irvan Maulana; Garist Sekar Tanjung; R. Achmad Djazuli
Flora : Jurnal Kajian Ilmu Pertanian dan Perkebunan Vol. 1 No. 2 (2024): Juni : Flora : Jurnal Kajian Ilmu Pertanian dan Perkebunan
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/flora.v1i2.56

Abstract

Indonesia is known as an agricultural country, making the agricultural sector very important with the commodity most widely cultivated by the public being rice. Karangsemanding Village is a village that has extensive agricultural land but has a small productivity value compared to other villages. This research aims to determine the factors that influence the production of lowland rice farming and determine the efficiency of lowland rice farming in Menganti Hamlet. The research was conducted in Menganti Hamlet in June-September 2023. Data collection was carried out through interviews and questionnaires as well as secondary data obtained. The sampling technique was saturated sampling which involved all members of the population sampled as many as 86 farmers. Data were analyzed descriptively and in multiple linear regression analysis with the help of SPSS software. The research results show that production factors in the form of land area, seeds, fertilizer, pesticides and labor simultaneously influence rice production, while partially the variables of land area, pesticides and labor have a significant influence on production. The results of the technical efficiency analysis show a value of 0.8894 which is said to be efficient in the use of production factors because it is close to 1. Judging from the price efficiency (allocative) of lowland rice farming, it shows a value of 0.0416, this shows that lowland rice farming in Menganti Hamlet is not yet efficient economically. price. Meanwhile, the economic efficiency of lowland rice farming shows a value of 0.0370, which means lowland rice farming is economically inefficient..
Analysis Of Cpu And Memory Usage In Monitoring-Based Operating Systems Using Python Alviyyah Julianti; Teti Desyani; Tasya Putri Aini; Irvan Maulana; Didin Nugraha; Rayhan Frenalzy
International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v5i2.999

Abstract

Monitoring computer resource usage, particularly the central processing unit (CPU) and memory, is a crucial aspect in maintaining the performance and stability of an operating system. This study aims to analyze CPU and memory usage in real-time using the Python programming language as the primary tool. The method used involves collecting system resource usage data through Python libraries, such as psutil, followed by data processing and visualization to obtain an overview of usage patterns. The results show that Python is capable of providing accurate and efficient information regarding CPU and memory usage conditions, thus providing a basis for decision-making to optimize system performance. Furthermore, the developed monitoring system is flexible, easy to use, and can be implemented on various operating system platforms. Therefore, this study is expected to contribute to the development of a simple yet effective resource monitoring system. (Monitoring computer resource usage, particularly the central processing unit (CPU) and memory, is a crucial aspect in maintaining the performance and stability of an operating system. This study aims to analyze CPU, and memory usage in real time using the Python programming language as the primary tool. The method used involves collecting system resource usage data through Python libraries, such as psutil, followed by data processing and visualization to obtain an overview of usage patterns. The results show that Python is capable of providing accurate and efficient information regarding CPU and memory usage conditions, thus providing a basis for decision-making to optimize system performance. Furthermore, the developed monitoring system is flexible, easy to use, and can be implemented on various operating system platforms. Thus, this research is expected to contribute to the development of a simple yet effective resource monitoring system.
Co-Authors Ahlamul Jaris Gea Alviyyah Julianti A`im Matun Nadhiroh Didin Nugraha Eko Winarti Fadhil Musyafa Garist Sekar Tanjung Indah Jayani Muhammad Hafiz Mutiah Khaira Sihotang R. Achmad Djazuli Rayhan Frenalzy Tasya Putri Aini Teti Desyani Yeni Lufiana Novita Agnes