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All Journal Management and Economics Journal (MEC-J) JKIE (Journal Knowledge Industrial Engineering) JURNAL AKUNTANSI ILKOMNIKA: Journal of Computer Science and Applied Informatics Prosiding National Conference for Community Service Project Riset: Jurnal Aplikasi Ekonomi Akuntansi dan Bisnis Journal of Tourism Sustainability Jurnal Locus Penelitian dan Pengabdian Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL) Journal of Data Mining and Information Systems JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Studia Ekonomika TRJ (Tourism Research Journal)
Jason, Jason
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Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences

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Determining the Optimal Rice Distribution Route in Medan City Using Dijkstra's Algorithm Jason, Jason; Sembiring, Anita Christine; Viviana, Viviana
Journal Knowledge Industrial Engineering (JKIE) Vol 9 No 2 (2022): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v9i2.3288

Abstract

Distribution is an activity carried out to spread the product throughout the market so that consumers can buy it. Distribution can also affect the price of goods. Therefore, the distribution must be effective. The purpose of this study is to determine the shortest route that is effective in distribution so that product prices are not high and the company does not suffer losses. The data analysis method used is Dijkstra's Algorithm obtained with data on the distance between the starting point and the destination point through predetermined points. The calculation results show that the shortest and fastest routes to be taken based on the dijkstra algorithm are: A-20-19-F-26-C-D-11-12-B-E with a distance of 40.71 km. There are several road routes that can be chosen to be used but the shortest route that can be taken is 40.71 km. Medan Rice Distributors are expected to choose the shortest transportation route so that rice distribution can be carried out quickly and optimally.
Audit Sistem Informasi Pada CV. Tama Joga Raya Berdasarkan Analisis Cobit Kencana, Kartika Cahya; Suryantoro, Bambang; Jason, Jason
Studia Ekonomika Vol. 12 No. 2 (2014): Studia Ekonomika Volume 12 Nomor 2 Juli Tahun 2014
Publisher : STIE KASIH BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/studiaekonomika.v12i2.48

Abstract

Pengendalian internal terhadap sebuah sistem informasi merupakan hal yang penting dan bersifat strategis. Oleh karena itu pemahaman dan kesadaran akan hal ini sangat perlu diperhatikan oleh segenap pemilik serta pengguna aplikasi. Dengan pengendalian internal yang memadai maka diharapkan hal ini akan menjamin informasi yang dihasilkan memang bermutu dan sesuai dengan apa yang diharapkan. Sebagai sebuah perusahaan yang berkomitmen melakukan filosofi Continous Improvement atau Kaizen, CV. Tama Joga Raya berencana untuk memperbaiki sistem informasi perusahaan dengan mengimplementasikan program yang bernama SQL Trade. maka penulis melakukan penelitian mengenai keberadaan pengendalian internal menurut CobIT dari masing-masing subsistem pada pengendalian umum dan pengendalian aplikasi, yaitu boundary control, input control, process controldan output control. Penelitian dalam Skripsi ini adalah kualitatif deskriptif sehingga tidak perlu menggunakan hipotesis dan statistik. Hasil penelitian pada CV. Tama Joga Raya berdasarkan CobIT adalah Qualified.
Determinants of Smoking Behaviour Among Indonesian Elementary School Students: A Cross-Sectional Study Hidayah, Rizka Nurul; Jason, Jason; Sakina, Sakina; Syulthoni, Zain Budi; Syafira Eljatin, Dwinka
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.4897

Abstract

Indonesia faces a critical public health challenge with one of the highest smoking rates globally, including among elementary school children. Understanding the determinants of this early smoking behavior is essential for developing effective prevention strategies. This study, Determinants of Smoking Behaviour Among Indonesian Elementary School Students: A Cross-Sectional Study, aimed to identify the factors associated with smoking behavior among elementary school students in Bojonegoro Regency, Indonesia. A cross-sectional study was conducted using secondary data from a Ministry of Health survey. The sample consisted of 1,071 students from grades 4–6 across 20 elementary schools, selected via total population sampling. Data were analyzed using Chi-square tests to examine associations between smoking status and variables such as gender, grade level, knowledge, and environmental exposure. The prevalence of ever having smoked was 8.7%, exclusively among boys. Significant risk factors (p < 0.01) included being male, higher grade level, having smoking family members, having peers who smoke, and witnessing people smoke at school—notably, teachers and community members. Surprisingly, children who knew the dangers of smoking had a higher smoking prevalence. Smoking behavior in elementary students is strongly influenced by environmental exposure and gender. Prevention requires a multi-faceted approach, including strict smoke-free policies in schools, targeted anti-smoking education for boys, and community-wide interventions to reduce children's exposure to smoking role models.
ANALISIS KEBIJAKAN PEMERINTAH TERKAIT ANCAMAN PENGANGGURAN PASCA KENAIKAN INFLASI DI KOTA YOGYAKARTA Putra, Chanda Vedalla; Tan, Charles; Jason, Jason; Styvani, Sherlyca; Tarekar, Windy Wihue
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 1 No 2 (2022): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v1i2.354

Abstract

The purpose of this study is to analyze the data found on the level of unemployment and inflation as well as the causes of the increase or decrease in the number of unemployment and inflation in the Yogyakarta region. Yogyakarta is a well-known city in Indonesia. The author analyzes using descriptive research methods and quantitative approaches by looking at existing data through the official website of the Yogyakarta Central Bureau of Statistics. Based on the research that has been done, the results obtained are that the highest increase in the number of unemployment increases occurred in 2020 but inflation has decreased in that year, this is due to the pandemic that has hit almost all countries in the world. Therefore, it can be concluded that the unemployment rate can affect inflation.
Generalization Analysis of a Long Short-Term Memory Model for Cross-Domain Malware Detection Prasetyo, Stefanus Eko; Haeruddin, Haeruddin; Jason, Jason
ILKOMNIKA Vol 8 No 1 (2026): Volume 8, Number 1, April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i1.856

Abstract

The increasing diversity of malware targeting heterogeneous computing environments poses significant challenges to conventional detection approaches that rely on domain-specific assumptions. In particular, detection models optimized for a single dataset often exhibit limited robustness when applied to data with different structural and behavioral characteristics. This study analyzes the generalization capability of a Long Short-Term Memory (LSTM) model for behavior-based malware detection across multiple domains. A fixed two-layer LSTM architecture is evaluated using one primary dataset, CIC-MalMem-2022, and four additional datasets representing Android applications, Internet of Things network traffic, botnet behavior, and static Windows Portable Executable analysis. Although each dataset undergoes a dataset-specific preprocessing pipeline, all experiments employ an identical model architecture and hyperparameter configuration to ensure consistent and comparable evaluation. Model performance is assessed using standard classification metrics, supported by single train–test evaluation and five-fold cross-validation to examine performance stability and robustness. The experimental results demonstrate that the LSTM model maintains consistently high detection performance across datasets with diverse characteristics, including both sequential and non-sequential data representations. These findings indicate that the model effectively captures fundamental malware behavior patterns that generalize beyond a single domain, highlighting its potential applicability in heterogeneous cybersecurity environments where cross-domain robustness is required. At the same time, the evaluation is conducted under controlled experimental conditions and does not explicitly address adversarial adaptation or fully dynamic runtime deployment, which should be considered when interpreting the results for practical operational use.
Co-Authors Ade Maulana Adhi Trirachmadi Mumin Angkasa, Verrel Anita Christine Sembiring Asep Syaiful Bahri, Asep Syaiful Barahama, Jonathan Miguel Bhalqis, Yaumil Yuninda Darmana, Vicky Dini, Yuli Indah Fajar Doni Muhardiansyah Edy Yulianto Elvin, Elvin Febrian, Jan Haeruddin Haeruddin Hendratono, Tonny Hidayah, Rizka Nurul Kalista, Evita Kelana, Zorine Kencana, kartika Cahya Khairunnisa, Hana Lily Purwianti Ng, Reny Novianto, Fajar Nurhaliza, Syitty Pradana, Wahyu Ihsan Prasetyo, Stefanus Eko Prawira, Johanes Putra*, Chanda Vedalla Putra, Chanda Vedalla Putri, Intan Pratama Rahmat Ingkadijaya Rizki Amelia Sakina Sakina, Sakina Santi Palupi, Santi Saptarining Wulan, Saptarining Styvani, Sherlyca Sugiarto Suryantoro, Bambang Sutanto, Jefferson Syafira Eljatin, Dwinka Syulthoni, Zain Budi Tan, Charles Tarekar, Windy Wihue Tullah, Dewi Sarifah Viviana, Viviana Way, Ng Thian