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All Journal JURNAL PENDIDIKAN TAMBUSAI Aptisi Transactions on Management Jurnal Sosial Sains dan Komunikasi (Ju-SoSAK) Journal of Computer Science and Technology Application
Miftah, Mohammad
Unknown Affiliation
Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Sustainable Management Strategies to Enhance Business Competitiveness in the Technology Sector Abudaqa, Anas; Geraldina, Ira; Rakhmansyah, Mohamad; Miftah, Mohammad; Dlamini, Sipho
APTISI Transactions on Management (ATM) Vol 8 No 3 (2024): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v8i3.2359

Abstract

The increasing global demand for sustainable business practices has placed significant pressure on organizations, particularly within the technology sector, to adopt strategies that balance environmental, social, and economic goals. This study investigates the role of sustainable management strategies in enhancing business competitiveness in the technology industry. The research employs a mixed-method approach, integrating quantitative data from key performance indicators (KPIs) such as market share, operational efficiency, and innovation outcomes, with qualitative insights gathered from in-depth interviews with senior executives. The results demonstrate that companies adopting sustainability practices experience a measurable improvement in operational efficiency (10%) and market share (15%), confirming that sustainability serves as a critical enabler of competitive advantage. Qualitative findings further reveal that sustainability initiatives bolster brand differentiation, customer loyalty, and regulatory compliance, contributing to long-term success. These strategies not only help firms navigate evolving regulatory landscapes but also enhance their positioning as leaders in innovation and social responsibility. This study concludes that sustainable management strategies are essential not just for compliance, but for fostering long-term business resilience and market leadership in the fast-paced technology sector.
Children's Social Behavior Related to Law Miftah, Mohammad
Jurnal Sosial Sains dan Komunikasi Vol. 1 No. 02 (2023): Jurnal Sosial Sains dan Komunikasi (Ju-SoSak), June 2023
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-sosak.v1i02.111

Abstract

To deal with children who are related to the law, of course, all parties must be actively involved and contributive. There is also a need for synergistic integration between psychology and law to make the best decisions for children. If a child with ABH is forced to undergo trial, then moral support from the surrounding environment and positive stimulation is needed to rehabilitate the child's behavior for the better. Thus, between parents and the state have the same portion to jointly handle children in conflict with the law. This study uses descriptive analytical research specifications with analytical methods using normative qualitative methods, while the results of this study explain that children who commit criminal acts or Children in Conflict with the Law (ABH) cannot be handled only from a legal perspective which ends in court and prison consequences. However, it must also be seen from the surrounding environment that causes children to commit these criminal acts. Because basically children are still psychologically unstable and cannot think carefully about the consequences of their bad deeds. If a child is in trouble with the law, then based on the Child Protection Act, the police should still use the principles of restorative justice and discretion to deal with ABH properly and optimally. Children have rights that are specifically different from adults because of their unstable physical and mental conditions. In many cases, children need special treatment and protection, especially against actions that could be detrimental to their development and that of society. Children need other parties such as family, society, government and the state to support the natural growth and development of children.
Pengaruh Anggaran dan Harga dalam Pilihan Mahasiswa terhadap Makanan Cepat Saji Riyo, Muhammad; Meiyasa, Ahmad Luthfi; Raspati, Djati Maulana; Lesmana, Rangga Jodi; Miftah, Mohammad; Supriyono, Supriyono
Jurnal Pendidikan Tambusai Vol. 8 No. 3 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Mahasiswa sering menghadapi tantangan dalam menentukan pilihan makanan sehari-hari, terutama dalam konteks keterbatasan waktu dan anggaran. Penelitian ini bertujuan untuk mengeksplorasi bagaimana mahasiswa Pendidikan Ekonomi membuat keputusan dalam memilih makanan cepat saji dengan mempertimbangkan dua aspek utama: anggaran dan harga. Metode penelitian yang digunakan adalah kuantitatif, yang memungkinkan analisis keterkaitan antara variabel-variabel tersebut. Hasil penelitian menunjukkan bahwa mahasiswa cenderung memilih makanan cepat saji karena kemudahan akses dan ketersediaannya, meskipun mereka harus mempertimbangkan anggaran yang dimiliki. Kesimpulan dari penelitian ini menegaskan bahwa keputusan pemilihan makanan cepat saji sangat dipengaruhi oleh faktor anggaran dan harga, yang menjadi pertimbangan utama dalam kehidupan sehari-hari mahasiswa
Big Data Analytics for Smart Cities: Optimizing Urban Traffic Management Using Real-Time Data Processing Miftah, Mohammad; Immaniar Desrianti, Dewi; Septiani, Nanda; Yadi Fauzi, Ahmad; Williams, Cole
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.56

Abstract

Smart cities require efficient traffic management to address congestion and optimize urban mobility. With increasing urban populations and vehicle vol- umes, traditional traffic control systems struggle to meet growing demands, ne- cessitating advanced technological interventions. This study aims to explore the integration of big data analytics and real-time data processing in optimizing urban traffic management. By leveraging machine learning algorithms, sensor data, and predictive models, this research seeks to enhance traffic flow and improve overall transportation efficiency. The methodology involves col- lecting data from traffic sensors, GPS-equipped vehicles, and surveillance cameras, which are then analyzed using Apache Hadoop and Apache Spark to derive meaningful insights. Real-time data processing techniques ensure im- mediate responses to traffic conditions, dynamically adjusting signal timings and rerouting vehicles to mitigate congestion. The results indicate a 15-25% reduc- tion in travel times in high-traffic areas where real-time adaptive signal control is implemented. Furthermore, the analysis highlights distinct traffic patterns, congestion hotspots, and travel time optimization opportunities that can sig- nificantly enhance urban transportation efficiency. This research confirms that big data-driven traffic management can lead to better decision-making, im- proved commuter experiences, and reduced environmental impact through lower emissions. Future studies should focus on advanced predictive algo- rithms, connected vehicle technology, and AI-driven automation to further refine urban traffic solutions. By implementing real-time analytics, smart cities can develop sustainable, efficient, and adaptive traffic management systems that improve mobility and quality of life for urban residents.
Co-Authors Abudaqa, Anas Desrianti, Dewi Immaniar Dlamini, Sipho Ira Geraldina Lesmana, Rangga Jodi Meiyasa, Ahmad Luthfi Rakhmansyah, Mohamad Raspati, Djati Maulana Riyo, Muhammad Septiani, Nanda Supriyono Supriyono Williams, Cole Yadi Fauzi, Ahmad