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DINAMIKA ORBIT ASTEROID 2012 DA14 PASCAPAPASAN DEKAT DENGAN BUMI Utama, Judhistira Aria; Dermawan, Budi
Jurnal Spektra Vol 16, No 1 (2015): Spektra: Jurnal Fisika dan Aplikasinya
Publisher : Jurnal Spektra

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Abstract

AbstrakTidak berselang lama pascapenemuannya (23 Februari 2012) oleh Observatorio Astronómico de La Sagra, Spanyol, asteroid 2012 DA14 (367943 Duende) mengalami papasan dekat dengan Bumi pada 16 Februari 2013 silam di jarak kurang dari jarak satelit geostasioner. Pascapapasan dekatnya tersebut asteroid ini dikelompokkan ke dalam kelas Aten, yaitu kelompok asteroid dekat-Bumi (ADB) yang memiliki orbit memotong orbit planet Bumi dengan setengah sumbu panjang orbit kurang dari 1 satuan astronomi. Menggunakan paket integrator Mercury, dalam pekerjaan ini dihitung evolusi orbital asteroid pascapapasan dekatnya hingga 1000 tahun ke depan. Selama selang waktu integrasi yang dilakukan, didapati bahwa asteriod ini beberapa kali mengalami papasan dekat dengan planet Bumi, Venus, dan Bulan. Dalam kurun waktu tersebut, asteroid dan keenampuluh asteroid virtualnya tidak ada yang menjadi benda penumbuk untuk planet Bumi dan Venus maupun Bulan.AbstractLess than one year after its discovery on February 23, 2012 by the Observatorio Astronómico de La Sagra, Spain, asteroid 2012 DA14 (also known as 367943 Duende) passed above Earth’s surface closer than geosynchronous satellites on February 16, 2013. According to Minor Planet Center (MPC) the asteroid is catagorized as Aten class for now, group of Earth-crossing asteroids with semimajor axis smaller than 1 astronomical unit. We employ Mercury package, a software for doing N-body integrations, to calculate the orbital evolution of 2012 DA14 for 1,000 years of orbital integrations after its last close approach with Earth. According to variation of nominal and virtual asteroids’s orbital elements during the integration time, the objects will experience several times of close approach with Earth, Venus and Moon but will not to be an impactor for these Terrestrial planets and natural satellite.Keywords: near-Earth asteroids, orbital evolution, Mercury integrator.
Affectors on The Financial Distress of Businesses Listed on The Indonesian Stock Exchange: Hotel, Restaurant, And Tourism Sjamsudin, Adella Vanessa; Asiah, Antung Noor; Munawaroh, RR Siti; Syahdan, Saifhul Anuar; Nastiti, Rizky; Dermawan, Budi
INTERNATIONAL JOURNAL OF TRENDS IN ACCOUNTING RESEARCH Vol. 4 No. 2 (2023): International Journal of Trends in Accounting Research (IJTAR)
Publisher : Asosiasi Dosen Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54951/ijtar.v4i2.532

Abstract

The purpose of this research is to ascertain how operating capacity, liquidity, profitability, and leverage affect financial hardship in lodging, dining, and tourism businesses that are listed on the Indonesia Stock Exchange. With 35 hotel, restaurant, and tourism enterprises listed on the Indonesia Stock Exchange, this study employs quantitative methodologies. Additionally, 12 companies were selected as samples through the use of purposive sampling. In this work, logistic regression analysis, hypothesis testing, and descriptive statistics were employed as data analytic approaches. The findings demonstrate that the profitability ratio significantly and negatively impacts financial strain. This finding suggests that a company's financial performance improves with increased profitability, putting it in a better position to avoid financial trouble. Additionally, there is a noteworthy and positive correlation between the liquidity ratio and financial difficulty. It demonstrates that a company's likelihood of experiencing financial problems increases with its liquidity. Conversely, there is a negligible and adverse impact of the leverage ratio on financial distress. This finding suggests that a company's amount of leverage has an effect on the financial difficulties it experiences. Furthermore, financial distress is positively and significantly impacted by the operational capacity ratio. This finding demonstrates that the likelihood of experiencing financial trouble increases with TATO
The Effect of Training in Various Kinds of Active Bottom Drill Drills on Increasing Pasing Accuracy Down Onupper Class Boys Students of Primary School Perumnas Condongcatu Dermawan, Budi
Journal of Elementary School Education Vol 3 No 1 Journal of Elementary School Education, (January, 2024)
Publisher : Berpusi Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62966/joese.v2i2.462

Abstract

This study aims to determine the effect of various types of active lower passdrill drills on increasing the accuracy of the lower pass in the volleyballgame of upper class male students at SD Perumnas Condongcatur. Thisresearch uses an experimental method, the research design is "ControlGroups Pretest-Posttest Design". PopulationIn this research, there were 24male students from the upper class at SD Perumnas Condongcatur. Thesample taken from the total sampling results was 24 students. Theinstrument used to test the accuracy of the lower fitting is the modifiedBraddy Volley Ball Test.Data analysis uses the t test. The results of theanalysis show that: (1) There is a significant effect of practicing varioustypes of active bottom pass drill drills on increasing pass accuracy involleyball games for upper class male students at SD PerumnasCondongcatur., witht count5,409> t table 2.20, and a significance value of 0.000 < 0.05, a percentage increase of 22.22%. (2) The experimental groupwith various kinds of active lower fitting drill drills was better at increasingthe accuracy of lower fitting male students in the upper classes of SDPerumnas Condongcatur than the control group, with t count2,902> t table = 2.07 and sig. 0.008 < 0.05 and the average difference is 3.6667.
Pengukuran Kinerja Model Klasifikasi dengan Data Oversampling pada Algoritma Supervised Learning untuk Penyakit Jantung Masruriyah, Anis; Novita, Hilda; Sukmawati, Cici; Ramadhan, Angga; Arif, Siti; Dermawan, Budi
Computer Science (CO-SCIENCE) Vol. 4 No. 1 (2024): Januari 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i1.2389

Abstract

Heart disease remains a leading cause of death in Indonesia and worldwide. In the realm of data mining, class imbalance between heart disease and normal samples within datasets presents a significant challenge. This disparity can lead to model bias toward the majority class, resulting in suboptimal performance in identifying instances of heart disease. This study addresses this issue by implementing oversampling techniques, particularly Synthetic Minority Over-sampling Technique (SMOTE) and Adaptive Synthetic Sampling (ADASYN). The findings reveal that models without oversampling achieve accuracy and precision exceeding 80%, but exhibit poor class separation performance. In contrast, models employing oversampling, despite experiencing reductions in accuracy and precision, enhance their ability to distinguish between heart disease and normal classes. The top-performing model utilizing the Random forest algorithm with SMOTE attains an AUC value of 0.868, signifying a significant improvement in class separation. These discoveries provide essential guidance for the development of more effective and accurate heart disease classification models. The utilization of oversampling techniques, such as SMOTE, proves to be an effective strategy for mitigating class imbalances in heart disease data mining. While accuracy and precision may decrease, the model's capability to identify heart disease becomes more reliable, with notable outcomes assessed using AUC. This research contributes significantly to enhancing efforts in heart disease prevention and treatment through sophisticated and sustainable data mining techniques.  
Growth Performance of Galaxy Rasbora Danio margaritatus Larvae Maintained at Different Stocking Densities Iskandar, Andri; Ramadhan, Rahma Zulfa; Dermawan, Budi
Barakuda 45: Jurnal Ilmu Perikanan dan Kelautan Vol 6 No 2 (2024): Edisi November
Publisher : Fakultas Perikanan dan Ilmu Kelautan Universitas 17 Agustus 1945 Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47685/barakuda45.v6i2.575

Abstract

The issue of low survival rates and high mortality of larvae is commonly encountered during the rearing process. The success of larval rearing is significantly influenced by optimal stocking density, good water quality, and controlled feed management, all of which affect the growth and survival of the larvae. The aim of this applied research is to implement rearing techniques with different stocking densities and assess their effects on the growth and survival of galaxy rasbora (Danio margaritatus) larvae. This study employed a Completely Randomized Design (CRD) with four different stocking density treatments: 1 fish L⁻¹ for treatments KT1 and PT1, 2 fish L⁻¹ for treatment PT2, and 3 fish L⁻¹ for treatment PT3, each with three repetitions. The results showed that different stocking densities had a significant effect on the growth and survival of the larvae. The highest survival rate was observed in treatment PT2, with 96% survival. The control treatment (KT1), which used a semi-intensive system, achieved the highest absolute length growth of 6.87 mm and the highest daily length growth rate of 32.73% day⁻¹. The stocking density of 2 fish L⁻¹ in treatment PT2 demonstrated optimal results in terms of survival and growth.
Upaya Membiasakan dan Meningkatkan Belajar Mandiri Melalui Layanan Bimbingan Kelompok Pada Siswa Kelas XI 1.2 SMA Negeri 3 Medan Tahun Ajaran 2025 Dermawan, Budi; Harfiani, Rizka; Daulay, Umiati
EDU SOCIETY: JURNAL PENDIDIKAN, ILMU SOSIAL DAN PENGABDIAN KEPADA MASYARAKAT Vol. 5 No. 2 (2025): June-September 2025
Publisher : Association of Islamic Education Managers (Permapendis) Indonesia, North Sumatra Province

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56832/edu.v5i2.986

Abstract

Penelitian ini bertujuan untuk membiasakan dan meningkatkan kebiasaan belajar mandiri siswa melalui layanan bimbingan kelompok. Subjek penelitian adalah lima siswa kelas XI 1.2 SMA Negeri 3 Medan Tahun Ajaran 2025 yang teridentifikasi memiliki kebiasaan belajar rendah. Metode yang digunakan adalah Penelitian Tindakan Bimbingan dan Konseling (PTBK) dalam tiga siklus. Teknik pengumpulan data mencakup observasi, wawancara, angket, dan dokumentasi. Hasil menunjukkan bahwa layanan bimbingan kelompok dapat meningkatkan kemampuan siswa dalam mengatur waktu, mengeksplorasi materi secara mandiri, serta menumbuhkan motivasi dan tanggung jawab belajar. Kesimpulan menunjukkan bahwa bimbingan kelompok efektif dalam membentuk kebiasaan belajar mandiri.
Pengukuran Kinerja Model Klasifikasi dengan Data Oversampling pada Algoritma Supervised Learning untuk Penyakit Jantung Masruriyah, Anis; Novita, Hilda; Sukmawati, Cici; Ramadhan, Angga; Arif, Siti; Dermawan, Budi
Computer Science (CO-SCIENCE) Vol. 4 No. 1 (2024): Januari 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i1.2389

Abstract

Heart disease remains a leading cause of death in Indonesia and worldwide. In the realm of data mining, class imbalance between heart disease and normal samples within datasets presents a significant challenge. This disparity can lead to model bias toward the majority class, resulting in suboptimal performance in identifying instances of heart disease. This study addresses this issue by implementing oversampling techniques, particularly Synthetic Minority Over-sampling Technique (SMOTE) and Adaptive Synthetic Sampling (ADASYN). The findings reveal that models without oversampling achieve accuracy and precision exceeding 80%, but exhibit poor class separation performance. In contrast, models employing oversampling, despite experiencing reductions in accuracy and precision, enhance their ability to distinguish between heart disease and normal classes. The top-performing model utilizing the Random forest algorithm with SMOTE attains an AUC value of 0.868, signifying a significant improvement in class separation. These discoveries provide essential guidance for the development of more effective and accurate heart disease classification models. The utilization of oversampling techniques, such as SMOTE, proves to be an effective strategy for mitigating class imbalances in heart disease data mining. While accuracy and precision may decrease, the model's capability to identify heart disease becomes more reliable, with notable outcomes assessed using AUC. This research contributes significantly to enhancing efforts in heart disease prevention and treatment through sophisticated and sustainable data mining techniques.  
PENERAPAN LAYANAN KONSELING INDIVIDUAL DENGAN MENGGUNAKAN PENDEKATAN COGNITIVE BEHAVIOR THERAPY UNTUK MENGURANGI KESULITAN BELAJAR SISWA DI SMA NEGERI 10 MEDAN Dermawan, Budi; Asbi, Asbi
Khidmat Vol 2 No 1 (2024)
Publisher : CV Edu Tech Jaya

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Abstract

Dalam pengembangan potensi peserta didik, guru wajib memeberikan pembelajaran yang bisa dipahami oleh siswa agar terlahirnya siswa yang berilmu, serta krearif, dan guru juga harus sanggup membuat proses belajar mengajar yang inovatif serta menyenagkan sehingga bisa meningkatkan kenyamanan serta keaktifan peserta didik. Anak yang memiliki kesulitan belajar juga perlu mendapatkan perhatian khusus, dikarenakan kesulitan belajar ini juga gangguan pemahaman terhadap siswa, serta beberapa faktor bisa saja terjadi dalam proses belajar pada anak, faktor ini bisa berupa kurang paham dalam proses belajar, kurangnya perhatian dari guru, kurangnya dukungan orang tua maupun dukungan teman. Sehingga penelitian ini tercipta atas masalah yang sering muncul terhadap anak di sekolah yaitu “Penerapan Layanan Konseling Individual Dengan Menggunakan Pendekatan Cognitive Behavioral Therapy Untuk Mengurangi Kesulitan Belajar Siswa di SMA Negeri 10 Medan Tahun Ajaran 2022/2023” baik itu kurang dari sarana prasarana maupun dorongan dari yang lain bahkan sampai rendahnya motivasi belajar, hal tersebut juga menjadi masalah yang harus diselesaikan dalam bidang pendidikan yaitu guru bimbingan konseling.