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INDONESIA
BULLET : Jurnal Multidisiplin Ilmu
Published by CV. Multi Kreasi Media
ISSN : -     EISSN : 28292049     DOI : -
Core Subject : Humanities, Health, Education, Social,
Humanities Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing
- Ilmu Komputer - Kemasyarakatan - Kewirausahaan - Manajemen - Ekonomi - Manajemen - Agama - Ilmu Hukum - Pendidikan - Pertanian - Sastra - Teknik - Dan Bidang Ilmu Lainnya
Arjuna Subject : Umum - Umum
Articles 609 Documents
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Rancang Bangun Pengisi Baterai Portabel Berbasis Mikrokontroler Arduino Giyantara, Andhika; Syarif, Muhammad; Rizqi Utami, Amalia
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 1 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The development of automotive technology, especially in electric vehicles, is accelerating. Electric vehicles utilize batteries as the main power source, making batteries a very vital component. Batteries function to store energy, but can experience a discharge if used without recharging. Therefore, a battery charging system is needed to reduce the possibility of discharge. One charging method that can be applied is constant voltage, where the voltage is kept constant from the beginning to the end of the charging process. To keep the voltage constant, a rectifier circuit and buck converter are used. The rectifier circuit functions to convert alternating voltage (AC) into direct voltage (DC), while the buck converter reduces the direct voltage (DC) and maintains it constant with control to regulate the switching on the MOSFET. In this research, the system is designed with an input voltage of 220 V which produces a constant output of 12 V. Control using PID allows duty cycle settings to reduce the direct voltage (DC). In a hardware test using a VRLA battery load, the test results showed that after charging for 25 minutes, the battery voltage increased from 11.49 V to 11.65 V.
Teaching English To Young Learners Through The Montessori Approach Afnesha Noveriana Chang
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 1 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The Montessori approach, an educational philosophy founded by Dr. Maria Montessori, emphasizes child-centered learning through hands-on experiences, fostering independence, and promoting intrinsic curiosity. This method, when applied to teaching English to young learners, offers a unique framework that not only nurtures language development but also engages children in an environment where they can explore and internalize the language at their own pace. This article explores the Montessori approach's application in teaching English, focusing on the use of sensory-rich materials, individualized learning experiences, and communication-based activities. By creating a language-rich, supportive environment, the Montessori method encourages young learners to develop strong language skills while fostering a love for learning.
Analisis Kerusakan Retract Actuator Nose Landing Gear Pada Pesawat Boeing 737-800 Next Generation Pambekti, Arif; Misi Okia, Yudha; Kurniawan, Riski; Al Huda, Luqman; Evan, Bah; Kamal Fajri, Amrisal; Tri Efendi, Erwan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The retract actuator is one of the main parts of the landing gear, which functions to retract or extend. The retract actuator must be free in its operation and its movement must also be smooth. If the aircraft experiences a failure of the retract actuator function, namely the retract actuator in a slow to retract condition. Where there is a slowdown during retract and extend. Careful handling is required and in accordance with applicable aircraft maintenance procedures, especially regarding slow to retract conditions. This study uses a direct observation method for the analysis of the troubleshooting process on the B737-800 NG in the Merpati Maintenance Facility hangar. In addition, this study also uses the Fault Tree Analysis method to obtain the cause of the failure of the standby reservoir. After analyzing the results, the possible causes of failure in the Retract Actuator are by using the Fault Tree Analysis (FTA) method, the minimum cut set results are obtained with calculations consisting of 18 basic events.
Iman Kepada Kepada Allah Studi Analisis Sifat Sifat Allah Akromusyuhada, Akhmad
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Sifat Allah merupakan sifat sempurna yang hanya dimili oleh Allah SWT. sebagai seorang muslim yang baik sebaiknya kita mengetahui Sifat Wajib maupun Sifat Mustahil yang dimiliki Allah SWT agar ke iman nan kita kepada Allah semakin kuat, Dalam Islam khususnya aliran Ahlusunah wal Jama'ah meyakini bahwa Allah memiliki sifat dengan sifat-sifat yang sempurna. Sebagaimana diterangkan dalam beberapa kitab-kitab akidah Ahlusssunnah wal Jama'ah yaitu tentang sifat wajib, mustahil, dan jaiz bagi Allah, Metode penelitihan yang digunakan dalam peniltihan ini adalah studi Pustaka bertujuan mengetahui sejauh mana nilai nilai ke Imanan yang ada pada diri umat Islam semakin tinggi dengan mengetahui. Memahami sifat sifat bagi Allah.
UPAYA MENINGKATKAN KEMAMPUAN MENGURUTAN (SERIASI) UKURAN MELALUI PERMAIANAN MOBIL PINTAR ANAK USIA 4-5 DI TAMAN KANAK-KANAK LABSCHOOL FIP UMJ Andriyani
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The ability to determine the order (seriation) of size is the accuracy possessed by children in determining a size order from various existing sizes. Seriation competence in children aged 4-5 years is to order objects from the largest to the smallest or vice versa as many as 5 seriations. In reality, 10 out of 15 children still have deficiencies in ordering sizes. This study aims to improve children's learning outcomes in determining the order of size and to improve the quality of learning so that activities can run effectively, efficiently, and enjoyably. The results of the study showed that there was an increase in the ability to order (seriation) of size based on the results of children's learning achievements during pre-action to cycle II by 86%. The application of smart car games can improve the quality of learning to be more interesting and efficient.
AI-Driven Patient Outcome Prediction: Balancing Innovation And Ethics In Healthcare Rasmila Lama; Sen Sen Oo; Birbal Tamang; Jinnat Ara; Md Nazmul Islam
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 1 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Predictive analytics in healthcare has gained significant attention due to its ability to enhance decision-making, reduce hospital readmission rates, and improve patient outcomes. Machine learning (ML) plays a pivotal role in developing predictive models that analyze vast amounts of patient data to forecast health outcomes. This paper explores the application of ML techniques in healthcare predictive analytics, discusses commonly used algorithms, evaluates their effectiveness, and highlights challenges and future research directions. The integration of machine learning (ML) in predictive analytics enables the processing and analysis of vast amounts of patient data to identify patterns and predict health outcomes. This paper explores the application of ML techniques in healthcare predictive analytics, discusses commonly used algorithms, evaluates their effectiveness, and highlights challenges and future research directions. We present a case study using supervised learning models to predict patient readmission rates and compare their accuracy based on real-world healthcare datasets. The findings indicate that ML-driven predictive analytics can significantly enhance healthcare efficiency, reduce costs, and improve patient care through early intervention and risk mitigation strategies.
Machine Learning Methodologies for Electric Vehicle Energy Management Strategies Md Khaledur Rahman; Md Saiful Islam; Md Jakaria Talukder; Md Nazmul Islam; Md Shameem Ahsan
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 1 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This research study explores the usage of machine learning techniques in the improvement of energy executives’ strategies for electric vehicles (EVs), with a particular accentuation on estimating EV-related variables and classifying price ranges. The study uses machine learning such as linear regression, random forest regression, decision tree, random forest classifier, and artificial neural network (ANN). The dataset involves fundamental electric vehicle (EV) attributes, including acceleration time, maximum speed, range, efficiency, and fast charging capacity. Information readiness includes the chores of handling missing values and changing category labels into a numerical column. The evaluation measures incorporate mean squared error, R-squared, and accuracy. The outcomes exhibit the efficacy of machine learning models in estimating EV-related variables and classifying price levels. The key discoveries highlight the unique performance of regression and classification models. This examination upgrades the cognizance of machine learning applications in EV energy the executives and gives important bits of knowledge to further develop determining accuracy and decision-making processes.
California Wildfires: Analyzing Environmental, Health, And Regional Impacts With Air Quality Correlations Shishir Kumar Das; Eshmi Rai
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 1 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Wildfire activity has become one of the most sensational and urgent issues in the United States after the Tornadoes event. Overviewing the chronological data of the past 24 years, it has been observed that wildfires have increased in severity, frequency and intensity, posing serious detrimental impacts on the health of humankind, and ecological disturbance. This research analyzes wildfire occurrence data across California from 2000 to 2023 using Geographic Information Systems (GIS) to identify patterns of wildfire activity, mapping affected areas focused on land and forest. It also highlights the correlation between wildfires and PM2.5 & ozone pollutants to measure the Air Quality Index (AQI).
Pengembangan Permainan Baseball Pass Sebagai Penunjang Latihan Passing Pada Siswa Ekstrakurikuler Bola Basket SMA Negeri 1 Ponorogo Bayu Nugraha Murdiansyah
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 1 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Lack of variative exercise models in the extracurricular sman-ballbasket-basketting activities. 1 ponorogo, especially the basic technical passing and causing a lack of understanding and mastery about passing basketball..Then it takes the development of this game to improve the understanding and mastery of the extracurricular basketball about basic passing techniques. This research aims to develop a product of basketball passing through baseball pass games for the student's extracurricular basketball state 1 ponorogo. This is the method the methodology referring to research development model of development of r amp d &; addie was by using the method, namely: ( ) analize ( 1 2 3 ) development ( ) design ( 5 4 ) implementation ( ) evaluation. Based on research obtained that the game baseball pass is used as supporting training students passing extracurricular basketball. Proved from the test results obtained the expert Evauation data which is, player 86 % (good), 88 basketball expert % (good), Test small group 84.7 % (good).Both of these trials got good category value and could be used. With the result, it can be concluded that the game baseball pass can be used as supporting training students passing extracurricular basketball schools ponorogo 1.
Analisis PDB Dan Inflasi Terhadap Investasi Industri Kimia, Farmasi Dan Obat Tradisional Periode 2017-2022 Indrawati, Budi; Natasia Rahajeng, Vika; Duvadilan Wibowo, Viko; Noprizon
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The impact of the Covid-19 pandemic in 2020 caused the non-oil and gas industrial sector in Indonesia to experience a decline. This decline was caused by hampered growth in most industrial groups. Of the fifteen existing industry groups, eleven experienced contraction, while only four groups recorded positive growth. Among the four groups that grew, two of them experienced a significant decline in growth, while the other two groups experienced an increase, namely the Chemical, Pharmaceutical and Traditional Medicine Industries and the Basic Metal Industry. This research aims to determine the influence of macroeconomic variables, namely Gross Domestic Product (GDP) and Inflation on Investment in the Chemical, Pharmaceutical and Traditional Medicine Industries for the period 2017 - 2022. The research method uses quantitative methods with secondary data from the Central Statistics Agency. 6 year sample for the period 2017 to 2022. Data processing uses the SPSS (Statistical Product for Service Solutions) analysis tool. The research results and conclusions show that partially GDP and inflation have a positive effect on investment in the chemical, pharmaceutical and traditional medicine industries. Simultaneously, GDP and inflation influence investment in the chemical, pharmaceutical and traditional medicine industries for the 2017 - 2022 period.

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