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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Informasi dan Teknologi JISA (Jurnal Informatika dan Sains) BALQIS: Journal of Business Innovation and Digital Marketing Open Access DRIVERset BALQIS: Journal of Business Innovation and Digital Marketing
Sanjaya, Memet
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering

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Perancangan Antarmuka Aplikasi Pencari Kerja dan Permodalan Menggunakan Metode Design Thinking Untuk Mengoptimalkan Bonus Demografi Sanjaya, Memet; Putra, Rizaldi; Utama, Deni; Eria, Eria
CESS (Journal of Computer Engineering, System and Science) Vol 9, No 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.61697

Abstract

Bonus demografi yang akan dihadapi Indonesia pada periode 2025-2035 adalah peluang strategis untuk meningkatkan pertumbuhan ekonomi. Kunci utamanya adalah memanfaatkan usia produktif dengan pekerjaan dan penghasilan yang layak. Jika banyak usia produktif yang menganggur dan jumlah wirausaha tidak ditingkatkan, negara akan terbebani. Keterlibatan pemerintah dan swasta masih dianggap kurang optimal, terlihat dari adanya 7,2 juta pengangguran pada tahun 2024 di Indonesia. Upaya menurunkan pengangguran bukan hanya dengan membuka lebih banyak lowongan pekerjaan, tetapi juga dengan meningkatkan jumlah wirausaha. Selain itu, penting untuk memfasilitasi hubungan antara pengusaha dan investor serta meningkatkan akses terhadap modal. Pengusaha sering menghadapi kendala keterbatasan modal dan kurangnya informasi yang dapat dipercaya bagi investor. Perancangan aplikasi yang mengintegrasikan portal pekerjaan dengan platform pemodalan, memudahkan pencari kerja, pengusaha, dan investor menemukan peluang yang sesuai. Penelitian ini hanya fokus pada desain antarmuka aplikasi yang dirancang dengan metode desain thinking. Dengan fitur intuitif dan interaktif, desain antarmuka aplikasi ini dapat dikembangkan menjadi aplikasi utuh yang mampu menurunkan tingkat pengangguran, menciptakan wirausaha baru, dan memaksimalkan manfaat bonus demografi, sehingga berkontribusi pada pertumbuhan ekonomi yang berkelanjutan di Indonesia.
Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact Putra, Rizaldi; Sanjaya, Memet; Utama, Deni; Berliana, Berliana
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2106

Abstract

Carbon emissions represent a critical driver of global climate change, exerting profound impacts on environmental sustainability and public health. This research examines Indonesia's carbon emission trends using a comprehensive dataset spanning global emissions from 1960 to 2018, with specific focus on Indonesia, obtained from Kaggle. Employing Linear Regression (LR) as the primary machine learning technique, the study effectively models and forecasts future carbon emission levels for Indonesia. The findings indicate a projected increase in emissions to 2.38 tons per capita annually by 2030, underscoring the urgent need for robust environmental policies.
Optimizing Website Ranking Using Long-Tail Keywords and Internal Linking: A Case Study Sanjaya, Memet; Putra, Rizaldi; Utama, Deni; Prayoga, Arif
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.645

Abstract

This study proposes a structured and cost-effective Search Engine Optimization (SEO) strategy through the application of long-tail keyword targeting and internal linking. Conducted across three websites within the same corporate group, this research investigates how internal links and keyword mapping can collectively improve organic rankings. Each high-volume keyword was developed into long-tail variations and implemented into topic-specific articles, supported by contextual internal and cross-site linking. Website A, as the parent site, was used strategically to distribute link authority to other sites. In a two-month observation, keyword rankings showed significant improvements, particularly for underperforming domains. The results confirm that collaborative SEO using content relevance and internal link equity distribution can enhance visibility without relying on paid backlinks.
Perancangan Antarmuka Aplikasi Pencari Kerja dan Permodalan Menggunakan Metode Design Thinking Untuk Mengoptimalkan Bonus Demografi Sanjaya, Memet; Putra, Rizaldi; Utama, Deni; Eria, Eria
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.61697

Abstract

Bonus demografi yang akan dihadapi Indonesia pada periode 2025-2035 adalah peluang strategis untuk meningkatkan pertumbuhan ekonomi. Kunci utamanya adalah memanfaatkan usia produktif dengan pekerjaan dan penghasilan yang layak. Jika banyak usia produktif yang menganggur dan jumlah wirausaha tidak ditingkatkan, negara akan terbebani. Keterlibatan pemerintah dan swasta masih dianggap kurang optimal, terlihat dari adanya 7,2 juta pengangguran pada tahun 2024 di Indonesia. Upaya menurunkan pengangguran bukan hanya dengan membuka lebih banyak lowongan pekerjaan, tetapi juga dengan meningkatkan jumlah wirausaha. Selain itu, penting untuk memfasilitasi hubungan antara pengusaha dan investor serta meningkatkan akses terhadap modal. Pengusaha sering menghadapi kendala keterbatasan modal dan kurangnya informasi yang dapat dipercaya bagi investor. Perancangan aplikasi yang mengintegrasikan portal pekerjaan dengan platform pemodalan, memudahkan pencari kerja, pengusaha, dan investor menemukan peluang yang sesuai. Penelitian ini hanya fokus pada desain antarmuka aplikasi yang dirancang dengan metode desain thinking. Dengan fitur intuitif dan interaktif, desain antarmuka aplikasi ini dapat dikembangkan menjadi aplikasi utuh yang mampu menurunkan tingkat pengangguran, menciptakan wirausaha baru, dan memaksimalkan manfaat bonus demografi, sehingga berkontribusi pada pertumbuhan ekonomi yang berkelanjutan di Indonesia.
Development of a Risk Analysis Application for Higher Education Institutions Using the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) Methodology Putra, Rizaldi; Sanjaya, Memet; Adelia, Kinanti Dwi; Fathimah, Neng Siti
JISA(Jurnal Informatika dan Sains) Vol 8, No 2 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i2.2556

Abstract

In general, higher education institutions in Indonesia continue to face challenges in accurately mapping risks identified through Internal Quality Audits (IQA), resulting in limited collective management awareness of risk-based operations. Specifically, this study highlights that similar conditions persist in Cikarang, West Java, where risk identification and control processes remain insufficiently integrated into institutional quality improvement strategies. Although routine audit findings are successfully collected, the subsequent follow-up process is often unstructured and fails to prioritize the most crucial improvements. This research addresses these challenges by developing an application. Digital system adapted from the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) methodology. That enables managers to collaboratively determine the risk level associated with each finding. The system also facilitates the categorization of findings based on the urgency of required corrective actions and prioritization for subsequent mitigation efforts. This application is designed to facilitate the conversion of every evaluation finding into a measurable risk score. The primary objective of this system is to deliver comprehensive visualization and mapping of risks through a collaborative process, enabling groups to identify the impact of each finding, conduct analysis and discussion to determine probability, exposure, and consequence, and classify the results into categories of very high risk, high risk, substantial risk, moderate risk, or low risk.
Pelatihan Pembuatan Konten Media Sosial Menggunakan Teknologi Ai Untuk Mendapatkan Passive Income Bagi Siswa Smk di Cikarang Sanjaya, Memet
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10484

Abstract

This study aims to analyze the improvement of digital literacy and AI-based content production skills among vocational high school (SMK) students through structured training. The research employed a quantitative approach using a one-group pretest–posttest design. A total of 33 students participated in the training, while 22 paired responses met the criteria for statistical analysis. The research instrument consisted of Likert-scale questionnaires and open-ended questions measuring content creation skills, AI knowledge, perceptions of the economic potential of digital content, and experience using AI tools. Data were analyzed using the Wilcoxon Signed Rank Test due to non-normal data distribution. The results indicate a statistically significant improvement across all measured indicators, with p-values < 0.001. These findings demonstrate that structured AI-based training is effective in enhancing digital literacy and preparing vocational students to produce economically valuable digital content. This study contributes empirical evidence to the development of AI-based digital literacy learning models in vocational education.
Pelatihan Pembuatan Konten Media Sosial Menggunakan Teknologi Ai Untuk Mendapatkan Passive Income Bagi Siswa Smk di Cikarang Sanjaya, Memet
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10484

Abstract

This study aims to analyze the improvement of digital literacy and AI-based content production skills among vocational high school (SMK) students through structured training. The research employed a quantitative approach using a one-group pretest–posttest design. A total of 33 students participated in the training, while 22 paired responses met the criteria for statistical analysis. The research instrument consisted of Likert-scale questionnaires and open-ended questions measuring content creation skills, AI knowledge, perceptions of the economic potential of digital content, and experience using AI tools. Data were analyzed using the Wilcoxon Signed Rank Test due to non-normal data distribution. The results indicate a statistically significant improvement across all measured indicators, with p-values < 0.001. These findings demonstrate that structured AI-based training is effective in enhancing digital literacy and preparing vocational students to produce economically valuable digital content. This study contributes empirical evidence to the development of AI-based digital literacy learning models in vocational education.
Pelatihan Pembuatan Konten Media Sosial Menggunakan Teknologi Ai Untuk Mendapatkan Passive Income Bagi Siswa Smk di Cikarang Sanjaya, Memet
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10484

Abstract

This study aims to analyze the improvement of digital literacy and AI-based content production skills among vocational high school (SMK) students through structured training. The research employed a quantitative approach using a one-group pretest–posttest design. A total of 33 students participated in the training, while 22 paired responses met the criteria for statistical analysis. The research instrument consisted of Likert-scale questionnaires and open-ended questions measuring content creation skills, AI knowledge, perceptions of the economic potential of digital content, and experience using AI tools. Data were analyzed using the Wilcoxon Signed Rank Test due to non-normal data distribution. The results indicate a statistically significant improvement across all measured indicators, with p-values < 0.001. These findings demonstrate that structured AI-based training is effective in enhancing digital literacy and preparing vocational students to produce economically valuable digital content. This study contributes empirical evidence to the development of AI-based digital literacy learning models in vocational education.
Co-Authors Adelia, Kinanti Dwi Berliana Berliana Eria Eria Fathimah, Neng Siti Prayoga, Arif Rizaldi Putra Utama, Deni