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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Jurnal Pendidikan dan Pembelajaran Sekolah Dasar (JPPSD) IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Moneter : Jurnal Keuangan dan Perbankan Jaksa: Jurnal Kajian Ilmu Hukum Dan Politik Journal of Innovative and Creativity Media Riset Ekonomi Pembangunan (MedREP)
Sari, Sekar
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Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Optimizing COVID-19 Epidemiological Models: A Particle Swarm Approach to Parameter Estimation Muniroh, Muna Afdi; Sari, Sekar; Indrati, Dika Agustia
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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Abstract

The SEIR (Susceptible-Exposed-Infectious-Recovered) mathematical model, represented as a system of nonlinear differential equations, has proven to be a powerful tool to describe the dynamics of the spread of infectious diseases such as COVID-19. The accuracy of the projection and understanding of this model relies heavily on the proper estimation of its parameters, such as transmission rate, incubation rate, natural birth rate, natural death rate, disease mortality rate, and recovery rate. This study focuses on the development and application of a new approach to estimate crucial parameters in the SEIR model by utilizing Particle Swarm Optimization (PSO). PSO is a metaheuristic optimization algorithm inspired by the social behavior of flocks of birds or schools of fish. PSO was chosen for its outstanding ability to find a global minimum in a complex search space, as well as its efficiency in handling nonlinear optimization problems. The advantage of PSO lies in its effective memory capacity, which allows the storage of previous best values, both individually and globally, thus accelerating convergence to the optimal solution. Through a simulation program, this study successfully identified the optimal set of parameters for the SEIR model. These estimated parameters were then carefully evaluated by comparing the model simulation outputs with available COVID-19 epidemiological data, demonstrating the model's ability to accurately replicate pandemic trends. The results of this study are expected to make a significant contribution to modelling and understanding the spread of COVID-19.
OPERATIONAL ANALYSIS OF PARTIAL LOSS AND THIRD PARTY ON AUTOMOBIL ASSURANCE IN PT. ASKRIDA SYARIAH BRANCH MEDAN Sari, Sekar; Lubis, Fauzi Arif; Syahriza, Rahmi
Moneter: Jurnal Keuangan dan Perbankan Vol. 11 No. 2 (2023): OKTOBER
Publisher : Universitas Ibn Khladun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/moneter.v11i2.317

Abstract

Sharia insurance, especially car insurance, is wide open because the majority of Indonesian people are Muslims and the volume of motor vehicles (Mobiles) is also increasing so rapidly. Besides, the Muslim community has already realised how important it is to be an insurance member. As for the purpose of this research to find out how the management mechanism of partial loss and third party on car insurance in PT. Askrida Insurance Shariah Cab. Field, whether partial loss and third party mechanisms are in line with Islamic financial theory. This research uses inductive qualitative methods with descriptive analysis. This type of research is field research. (field research). This research data includes primary data and secondary data. Research site in PT. Askrida Insurance Shariah Cab. Field, Jl. Sei Batang Assaangan No.43, Babura, Kec, New Field, Medan City, North Sumatra 20222. In data collection using observation methods, interviews, and documentation.. Based on the analysis that the researchers have done, then the results of this study is known that the shariah insurance concerning partial loss and third party on Vehicles in PT. Askrida Insurance Shariah Cab. Fields are in line with Islamic financial theory. Because in the practice of partial loss and third party at PT. Askrida Insurance Shariah Cab. The fields have already used the tabarru's accreditation and the urah's bill, as well as the claims, allocations of funds, and benefits that are in line with the concepts of Islamic financial theory.
Pengaruh Servant Leadership, Perceived Organizational Support, Leader Member Exchange, Dan Psychological Empowerment Pada Organizational Citizenship Behavior Sari, Sekar; Soni Kurniawan, Ignatius; Purnamarini, Tri Ratna
JPEK: Jurnal Pendidikan Ekonomi dan Kewirausahaan Vol 8 No 1 (2024): JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jpek.v8i1.24154

Abstract

The point of this study is to look into how organizational citizenship behavior (OCB) is affected by servant leadership, LMX (leader-member exchange), physical empowerment (PE), and perceived organizational support (POS). This study uses a population of employees of the Agriculture and Food Service Office of Yogyakarta City, with 62 research respondents. The sampling technique uses accidental sampling or is filled by respondents who are willing to be involved. Data were collected using a questionnaire and processed using multiple linear regression analysis and the SPSS 23 application. The results confirmed that POS and PE positively influenced OCB. Servant leadership was found to have a negative effect, while LMX had no significant effect on OCB. The implications of the research results lead to strengthening POS and PE to strengthen employee OCB.
Analisis Pengaruh Aliran Masuk Modal Asing Terhadap Pertumbuhan Ekonomi di Indonesia Sari, Sekar; Satrianto, Alpon
Media Riset Ekonomi Pembangunan (MedREP) Vol. 1 No. 4 (2024): MedREP: Volume 1, No. 4, Desember 2024
Publisher : Universitas Negeri Padang

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Abstract

This study aims to analyze the effect of foreign capital inflows on economic growth in Indonesia. This study uses secondary data sourced from the World Bank and the Bank for International Settlements (BIS) from 1986-2021 using multiple linear regression analysis tools. The independent variables consist of foreign direct investment, foreign portofoio investment and foreign aid, with the control variables being inflation and interest rates and the dependent variable being economic growth. The results found that foreign direct investment has a positive and significant effect on economic growth. This shows that foreign capital inflows have an important role in encouraging economic growth. However, foreign portfolio investment has a negative effect on economic growth. Therefore, the monetary authority needs to implement a foreign capital inflow policy to maintain stability and encourage economic growth in Indonesia through foreign capital inflows. As well as implementing an effective and efficient governance system to reduce the misuse of foreign capital inflows so as to encourage economic growth.
Implementasi Prinsip Due Diligence dalam Kewajiban Negara Mencegah Cyber Attacks: Tinjauan Hukum Internasional Kontemporer Mashuri, Ahmad Alfin; Sari, Sekar; Aini, Riva Lailatul; Fitriya, Ida
Jaksa : Jurnal Kajian Ilmu Hukum dan Politik Vol. 3 No. 2 (2025): April: Jurnal Kajian Ilmu Hukum dan Politik
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/06adzb71

Abstract

The rapid evolution of cyberspace has transformed it into a strategic domain of international relations, raising complex legal challenges regarding state responsibility in preventing cross-border cyber attacks. This study explores the implementation of the due diligence principle in international law as a normative foundation for evaluating a state’s obligation to prevent harmful cyber activities originating from its territory. Utilizing a normative-legal approach, the research analyzes global legal instruments, state practices, and Indonesia’s position in relation to due diligence. Findings reveal a significant gap between the doctrinal recognition of due diligence and its operational application, especially in developing countries lacking institutional and regulatory capacity. The study proposes practical recommendations for integrating due diligence into national cybersecurity strategies while contributing to the broader development of binding international cyber norms. By focusing on Indonesia, the research aims to strengthen both national legal preparedness and its international legal standing in cyberspace governance.
PENERAPAN MODEL PEMBELAJARAN SCIENCE, TECHNOLOGY, ENGINERING, ART, AND MATHEMATICS (STEAM) UNTUK MENINGKATKAN PEMAHAMAN TENTANG SIFAT-SIFAT BENDA PADA MATA PELAJARAN IPAS SISWA KELAS III DI SD LABORATORIUM UNG Sari, Sekar
JPPSD: Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Vol 5, No 2 (2025): Oktober
Publisher : Universtas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jppsd.v5i2.74852

Abstract

Abstrak; Penelitian ini bertujuan untuk meningkatkan Pemahaman Tentang Sifat-Sifat Benda dengan menggunakan Model pembelajaran STEAM Siswa Dikelas 3 SD Laboratorium UNG.Adapun jenis penelitian yang digunakan dalam penelitian ini adalah penelitian tindakan kelas dengan subjek penelitian 22 siswa kelas III  SD Laboratorium UNG. Penelitian ini menggunakan teknik yaitu Observasi, tes, dan dokumentasi. Teknik analisis data yaitu aktitivitas guru, aktivitas siswa, dan Tingkat pemahaman siswa. Penelitian dilaksanakan dalam dua siklus, siklus I terdiri dari tiga kali pertemuan, sedangkan siklus II terdiri dari dua kali pertemuan dengan empat tahapan yaitu: tahap persiapan, tahap pelaksanaan tindakan, tahap pemantauan dan evaluasi, tahap analisis dan refleksi. Hasil penelitian pada observasi awal hanya ada 6 orang siswa atau 27% dengan pemahaman yang mencapai kriteria ketuntasan minimal (KKM). Pada siklus I jumlah siswa dengan Tingkat pemahaman yang meningkat sebanyak 15 siswa (68%). Selanjutnya pada siklus II, peningkatan pemahaman mencapai 20 siswa (91%).Berdasarkan hasil penelitian dan pembahasan dapat disimpulkan bahwa dengan menggunakan Model Pembelajaran STEAM  dapat meningkatkan pemahaman siswa pada pembelajaran IPAS di kelas 3 SD Laboratorium UNG Kota Gorontalo.Diharapkan bagi sekolah dapat meningkatkan kualitas pendidikan dengan penerapan model pembelajaran STEAM dapat membantu sekolah meningkatkan kualitas pendidikan melalui pendekatan yang lebih interdisipliner dan inovatif. Hal ini akan menjadikan sekolah sebagai institusi yang unggul dalam memberikan pendidikan berbasis teknologi, kreativitas, dan sains.
A VGG16 CNN-based Method for Multiclass Lung Cancer Classification using CT Imaging Sari, Sekar; Muniroh, Muna Afdi; Apriandy, Kevin Ilham
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 2 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i2.1483

Abstract

Lung cancer is the leading cause of death worldwide among all types of cancer. Early detection and accurate classification are essential to prevent disease progression and improve patient survival rates. One effective approach is the use of computer-aided diagnosis (CAD) systems based on medical imaging, particularly CT scans, which provide high-resolution and non-invasive visualization of lung structures, including blood vessels, soft tissues, and lesions or nodules. This study proposes a VGG16 CNN-based multiclass classification method for lung cancer. Unlike previous studies that primarily focus on binary classification, this research addresses four distinct classes of lung nodule CT images to better reflect complex clinical needs. The modified VGG16 architecture incorporates additional layers, including Flatten, Dense, and Dropout, along with the Softmax activation function, effectively improving classification performance and reducing overfitting risk. An ablation experiment was also conducted by replacing ReLU with LeakyReLU to address the potential “dying ReLU” issue. However, the results indicated that LeakyReLU did not provide significant improvement over the standard ReLU. The proposed model achieved an accuracy of 90.72%, precision of 91.5%, sensitivity of 89.25%, specificity of 96.76%, F1-score of 90%, and a low loss value of 0.37. Furthermore, the modified VGG16-CNN outperformed other CNN architectures, including ResNet50, EfficientNetB1, MobileNetV2, and AlexNet, in multiclass lung cancer image classification. The results demonstrate that the proposed method is effective for diagnosing lung nodules from CT scans and has the potential to support medical professionals in making accurate and timely diagnoses.
Exploratory Data Analysis for Monitoring The Environment Variables of Sugarcane Growth Sari, Sekar; Rachmawati, Oktavia Citra Resmi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 4 (2025): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i4.31360

Abstract

Sugarcane is vital to the national sugar industry and food security; however, its productivity is significantly affected by environmental factors, including temperature, light intensity, soil moisture, and pH. Fluctuations in these variables frequently lead to erratic yields and diminished sugar quality. Data obtained from IoT-based monitoring systems is often affected by noise, absent values, and outliers, complicating analysis. This research employs exploratory data analysis (EDA) on IoT-based sensor data to obtain comprehensive insights into environmental factors influencing sugarcane growth. The dataset contains 1,811 non-null entries from sensors that measure temperature, light, soil moisture, and pH. Data preparation encompassed cleansing, addressing missing values, and eliminating outliers. Univariate and multivariate analyses were conducted to evaluate variable distributions and correlations. The findings indicated that eliminating outliers improved data consistency and showed that temperature and pH had near-normal distributions, whereas light and soil moisture were skewed. A correlation study revealed moderate associations between light and pH, while regression analysis confirmed a favorable relationship between light intensity and pH. This research emphasizes enhancing the dependability and interpretability of IoT-based monitoring data through EDA, providing significant insights for precision agriculture. Future research may concentrate on predictive modeling and real-time decision-support systems to enhance farming operations.
Pengaruh Variasi Suhu Kondensor terhadap Kinerja Rotary Vacuum Evaporator pada Ekstraksi Meniran (Phyllanthus Niruri) Siswantoro, Dwi Heru; Permadi, Yayang; Pradiza, Revvan Rifada; Sari, Sekar; Yusvida, Rizka
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 4 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v4i3.336

Abstract

This study analyzes the effect of condenser temperature variation on the performance of a rotary vacuum evaporator (RVE) in extracting Phyllanthus niruri solution. Three condenser conditions, 23 °C, 30 °C, and without cooling, were tested, each with five replications. Observed parameters included evaporation time, mass reduction rate, energy consumption, and flavonoid content, which were analyzed statistically using Analysis of Variance (ANOVA). Results showed that the 23 °C condenser achieved the highest mass reduction rate (3.78 g/min) and the lowest energy consumption (0.14 kWh). At 30 °C and without cooling, mass reduction rates decreased to 3.02 g/min and 2.24 g/min, while energy consumption rose to 0.19 kWh and 0.20 kWh. The 23 °C condenser also produced the highest flavonoid content (11.9 mg/mL), confirming optimal thermal efficiency. This work fills the research gap on the effect of condenser temperature on energy efficiency and extract quality in RVE systems and provides a basis for developing energy-efficient evaporators for small-scale herbal industries.
Co-Authors Aini, Riva Lailatul Alpon Satrianto APRIANDY, KEVIN ILHAM Arifin Fauzi Lubis Fitriya, Ida Ignatius Soni Kurniawan Indrati, Dika Agustia Mashuri, Ahmad Alfin Muniroh, Muna Afdi Permadi, Yayang Pradiza, Revvan Rifada Purnamarini, Tri Ratna Rachmawati, Oktavia Citra Resmi Rahmi Syahriza, Rahmi Siswantoro, Dwi Heru Yusvida, Rizka