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Development of Expert System Application to Detect Chicken Disease using the Forward Chaining Method Ramadan, Ahmad; Harahap, Syaiful Zuhri; Muti’ah, Rahma
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12843

Chicken is the most widely kept and consumed poultry in Indonesia. Due to the large population of poultry, a variety of diseases have also emerged, from minor diseases to diseases that can kill chickens and infect humans. As a result of these diseases, there are implications for the losses suffered by chicken farmers. Most farmers find it very difficult to identify chicken diseases due to their lack of knowledge. On the other hand, expecting treatment from a veterinarian or expert is very limited and expensive. Therefore, a system is needed that can easily help chicken farmers detect diseases in their pet chickens. This research aims to build an expert system to detect chicken diseases by applying the forward chaining method. The expert system is implemented as a web-based application. The research stages start with identifying problems, collecting data, creating a knowledge base and production rules, building applications, and getting results. The results showed that the forward chaining method provides convenience in detecting chicken diseases. This is proven by only selecting the symptoms of the disease that appear, and then the application will provide conclusions regarding what type of disease is being suffered by chickens. In addition, this application also provides information related to ways of handling and control that can be done to overcome the chicken disease. Hopefully, the results of this research can facilitate chicken farmers in identifying and handling diseases effectively and efficiently.

Pembelajaran Program Keluarga Berencana Pada Pasangan Muslim Di Bawah Umur Di Kabupaten Mandailing Natal Perspektif Maqashid Syariah Ramadan, Ahmad; Siregar, Ibrahim; Hsb, Putra Halomoan
Wahana Didaktika : Jurnal Ilmu Kependidikan Vol. 22 No. 1 (2024): Wahana Didaktika: Jurnal Ilmu Kependidikan
Publisher : Faculty of teaching training and education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/wahanadidaktika.v22i1.12923

Penelitian ini bertujuan untuk mengetahui (1) Pelaksanaan program keluarga berencana pada pasangan Muslim di bawah umur di Kabupaten Mandailing Natal. (2) Persfektif Maqoshid Syariah terhadap pelaksanaan program keluarga berencana pada pasangan Muslim di bawah umur di Kabupaten Mandailing Natal. Penelitian ini menggunakan pendekatan kualitatif bersifat deskriptif. Subjek penelitian ini yaitu pasangan suami istri yang menikah berkisar di bawah usia 18 tahun di Kabupaten Mandailing Natal, petugas pelayanan KB di Puskesmas Mandailing Natal, Kepala DPPKB Madina sesuai data yang dibutuhkan dan Kepala KUA di Kabupaten Mandailing Natal.Teknik pengumpulan data dalam penelitian ini yaitu wawancara, observasi dan dokumentasi. Hasil penelitian menunjukkan bahwa (1) Pelaksanaan Program Keluarga Berencana di Kabupaten Mandailing Natal masyarakat memiliki kesadaran yang tinggi sehingga melakukan program KB, dilihat dari kondisi ekonomi yang dibilang pas pasan dan kondisi usia yang belum siap untuk mempunyai anak sehingga mereka perlu melakukan program KB tersebut supaya anak-anak yang dilahirkan sesuai yang diharapkan terpenuhi kebutuhannya, sehat serta mandiri. (2) Perspektif Maqoshid Syariah, Keluarga Berencana merupakan salah satu upaya menciptakan keluarga berkualitas, baik secara agama maupun kemanusiaan. Di dalam Maqhashid Syari’ah Pemeliharaan keturunan atau Hifz al-nasl merupakan kebutuhan yang dharuriyyat yakni kebutuhan utama yang harus di pelihara dan dilindungi dengan sebaik-baiknya oleh syari’at islam sebagai orang tua, mengikuti program KB bisa menjadi kebutuhan sekunder atau kebutuhan hajiyyat bagi keluarga, yang mana keberadaannya dibutuhkan untuk memberikan kemudahan serta menghilangkan kesukaran dan kesulitan dalam kehidupan keluarga.

Transforming Scientific Publication Management in the Era of Disruption: SmartPLS Approach in Innovation and Efficiency Analysis Aini, Qurotul; Lutfiani, Ninda; Van Persie, Iky; Ramadan, Ahmad; Ginting Munthe, Rusli
APTISI Transactions on Management (ATM) Vol 8 No 2 (2024): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v8i2.2261

In the era of technological disruption, scientific publication management faces the challenge of adapting to innovation and increasing efficiency. This research examines the transformation of scientific publication management using the Par- tial Least Squares Structural Equation Modeling (PLS-SEM) method via Smart- PLS. The main variables analyzed include Technology Adaptation (AT), Editorial Process Flexibility (FPE), Digital Platform Integration (IPD), Management Efficiency (EM), and Publication Innovation (IP). Data was collected from an online survey filled out by journal managers, editors, and researchers and in- depth interviews with experts in scientific publications. The results of the Smart- PLS analysis show that Technology Adaptation (AT) has a significant influence on Management Efficiency (EM) and Publication Innovation (IP). Editorial Pro- cess Flexibility (FPE) also increases Publication Innovation (IP). Meanwhile, Digital Platform Integration (IPD) has been proven to strengthen the relationship between technology adaptation (AT) and management efficiency (EM). These findings demonstrate the importance of adaptation to new technologies, flexi- bility in editorial processes, and integration of digital platforms in increasing efficiency and innovation in scientific publication management. This research makes an essential contribution to the scientific publication management liter- ature by integrating the SmartPLS approach. These findings can help journal managers, editors, and researchers formulate effective strategies to face chal- lenges in the era of disruption.

Navigating the Challenges of Digital Transformation in Traditional Organization Maratis, Jerry; Ramadan, Ahmad; Rahmania Az Zahra, Achani; Ahsanitaqwim, Ridhuan; Bennet, Daniel
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.v8i3.2349

Digital transformation has become a critical strategy for traditional organiza- tions to maintain competitiveness in an increasingly technology-driven market. Technologies such as fintech, blockchain, artificial intelligence (AI), and cloud computing have significantly reshaped operational efficiency and customer en- gagement within these organizations. However, traditional organizations, characterized by their legacy systems and hierarchical structures, encounter various challenges in adopting these technologies. This study primarily aims to explore the key barriers that hinder digital transformation in traditional organizations and to propose effective strategies for overcoming these challenges. Utilizing a comprehensive literature review from 2018 to 2023, this research examines key studies on digital transformation in traditional business contexts. The find- ings reveal major challenges, including organizational inertia, skills gaps, de- pendency on outdated systems, and leadership deficiencies. To address these barriers, the study proposes strategies such as leadership development, work- force retraining, and investment in modern digital infrastructure. The results suggest that successful digital transformation requires a multifaceted approach, aligning technological adoption with organizational culture and sustainability goals. This research provides valuable insights for traditional organizations nav- igating the complexities of digital transformation.

Digital Transformation Strategies for Effective Business Management in SMEs: A SmartPLS Approach Ekawaty, Anita; Rizky, Agung; Ndlovu, Zinhle; Ramadan, Ahmad
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2410

Small and Medium Enterprises (SMEs) in Tangerang, Indonesia, significantly contribute to economic development but face barriers in adopting digital technologies, such as limited resources, lack of digital skills, and organizational resistance. Digital transformation, encompassing cloud computing, digital marketing, automation, and data analytics, is increasingly recognized as essential for business growth and efficiency. The primary objective of this study is to examine the impact of digital transformation strategies on operational efficiency, customer engagement, and overall performance in SMEs. Using a quantitative research approach, Partial Least Squares Structural Equation Modeling (SmartPLS) was applied to analyze data from 150 SMEs in Tangerang. The research measured the relationship between digital transformation strategies and key performance indicators. The results indicate that cloud computing and data analytics significantly improve operational efficiency by streamlining processes and enabling data-driven decision-making. Meanwhile, digital marketing and automation enhance customer engagement and market competitiveness, with SMEs showing stronger customer relationships and improved market positions. This study highlights the importance of adopting digital transformation to enhance SME business management and achieve sustainable growth. It offers practical insights for managers and policymakers and encourages future research on the long-term effects of digital transformation on SME resilience and innovation.

OPTIMALISASI OPERASI BINA KUSUMA DALAM USAHA MENANGGULANGI PREMANISME DI WILAYAH HUKUM POLRES TANAH DATAR Ramadan, Ahmad
UNES Law Review Vol. 1 No. 4 (2019)
Publisher : LPPM Universitas Ekasakti Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/ulr.v1i4.47

Bina Kusuma's Operation is the Operation of the West Sumatra Regional Police Control in order to suppress disruption of community security. One of the disturbances of Khamtibmas that occurred in the jurisdiction of the Tanah Datar police station was the act of thuggery. The problems that are examined are the implementation and constraints and optimization of bina kusuma operations in order to combat thuggery in the jurisdiction of the Tanah Datar police station by Bhabinkamtibmas. this research is legal research with analytical descriptive specifications. The implementation of the Operation Bina Kusuma at the Tanah Datar Police Station put forward the efforts of guidance and prevention. At Operation Bina Kusuma the Tanah Datar police station held raids on thugs to locations prone to thuggery and criminal acts. The constraints faced are the weakness of the planning system in developing a thuggery prevention plan. Optimizing the prevention of thuggery through bina kusuma operations at the Polres Tanah Datar can be done by realizing coordination and synchronization between district governments to jointly integrate and synchronize each task and its responsibilities according to its authority.

Implementation of Enterprise Resource Planning (ERP) in Indonesia to Increase the Significant Impact of Management Control Systems Rahardja, Untung; Ramadan, Ahmad
APTISI Transactions on Management (ATM) Vol 7 No 2 (2023): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i2.1881

To improve the Management Control Systems, an accidental sampling (non-probability sampling) method is used to apply Enterprise Resource Planning (ERP). Export and import service companies in the Jakarta Capital City area became the population in this study, with the total sample used is 100 respondents. 3 (three) variables that are the primary key of this research are Management Control System (X1) is an independent variable, and ERP implementation (Y) is classified as a related variable. The results obtained after this study's test indicate that ERP implementation (Y) is significantly influenced by the Management Control System (X1). There are several compromises in implementing an ERP (Enterprise Resource Planning) system in Indonesia. These factors exist in both the manufacturing and service industries. These have been identified as staffing issues where users do not understand how to use the ERP system. This lack of understanding leads to the implementation of non-optimized ERP due to the lack of education and learning about system usage and operational know-how. ERP is an evolution of Enterprise Resource Planning II (MRP II), a further development of Material Requirements Planning (MRP). ERP includes a warehouse management package as a first step, which is the supply control used in manufacturing or servicing products. The second phase of material requirements planning is the ERP route. In addition, the third phase of MRPII was the development of closed-loop MRP. ERP will emerge as Phase 4, an extension of MRP II and business processes. Extended ERP is the fifth phase of ERP, was introduced in 2000 and is much more complex than previous ERP.

Impact of Digital Innovations on Business Competitiveness and Sustainability – A Data-Driven Approach Priandito; Ramadan, Ahmad; Kuusk, Taavi
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2414

This study examines the critical interplay between digital innovations, business competitiveness, and sustainability, providing empirical evidence on their inter- connections. Digital innovations, encompassing technologies such as artificial intelligence (AI), blockchain, and the Internet of Things (IoT), have emerged as transformative forces driving efficiency and enabling sustainable practices. The research employs a quantitative design, utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data from diverse organi- zations. Results confirm that digital innovations significantly enhance busi- ness competitiveness, which in turn mediates their positive impact on sustain- ability outcomes. The findings underscore the necessity for strategic align- ment of technological adoption with business objectives to achieve competitive differentiation and meet sustainability goals. Key insights reveal that sector- specific strategies are essential for maximizing the benefits of digital transfor- mation. Manufacturing benefits from predictive maintenance, retail achieves supply chain transparency, finance leverages blockchain for ESG reporting, and technology focuses on scalable, sustainability-integrated solutions. The study also highlights the role of supportive regulatory frameworks and cross-sector collaboration in fostering innovation and sustainability. These insights con- tribute to academic discourse and provide actionable guidance for policymak- ers and industry leaders. Future research should explore longitudinal impacts and cross-industry dynamics to deepen the understanding of digital innovations’ role in sustainable economic growth.

Artificial Intelligence in Predictive Cybersecurity: Developing Adaptive Algorithms to Combat Emerging Threats Sudaryono, Sudaryono; Pratomo, Rusdi; Ramadan, Ahmad; Ahsanitaqwim, Ridhuan; Fletcher, Eamon
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.v2i1.55

The exponential growth of digital systems has introduced significant cybersecurity challenges, exposing vulnerabilities to increasingly sophisticated threats. Traditional security measures, which rely on static and signature-based methods, often fail to adapt to the dynamic nature of cyberattacks, highlighting the need for innovative solutions. This study aims to develop and evaluate adaptive algorithms in predictive cybersecurity, leveraging Artificial Intelligence (AI) to combat emerging threats such as zero-day exploits and advanced persistent threats (APTs). A simulation-based research design was employed, integrating reinforcement learning frameworks like Deep Q-Learning and utilizing datasets such as CICIDS2017 and synthetic data for zero-day threat simulations. The results show that adaptive algorithms achieved 94.8% detection accuracy, reduced false positives by 54.5%, and improved response times by 53.1%, significantly outper forming static models. Additionally, the adaptive systems demonstrated superiorcapacity to identify novel threats in simulated attack scenarios. These findings underscore the potential of adaptive AI algorithms to revolutionize predictive cybersecurity by offering dynamic, real-time responses to evolving threats. Despite their computational demands posing challenges for smaller organizations, integrating techniques such as adversarial training and robust anomaly detection can enhance resilience. That adaptive algorithms can enhance the resilience and reliability of cybersecurity systems, advocating for future integration with technologies like blockchain and edge computing to address scalability and latency issues. These advancements pave the way for more robust and proactive cybersecurity defenses in an increasingly interconnected digital landscape.

OPTIMALISASI OPERASI BINA KUSUMA DALAM USAHA MENANGGULANGI PREMANISME DI WILAYAH HUKUM POLRES TANAH DATAR Ramadan, Ahmad
UNES Law Review Vol. 1 No. 4 (2019)
Publisher : Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/ulr.v1i4.47

Bina Kusuma's Operation is the Operation of the West Sumatra Regional Police Control in order to suppress disruption of community security. One of the disturbances of Khamtibmas that occurred in the jurisdiction of the Tanah Datar police station was the act of thuggery. The problems that are examined are the implementation and constraints and optimization of bina kusuma operations in order to combat thuggery in the jurisdiction of the Tanah Datar police station by Bhabinkamtibmas. this research is legal research with analytical descriptive specifications. The implementation of the Operation Bina Kusuma at the Tanah Datar Police Station put forward the efforts of guidance and prevention. At Operation Bina Kusuma the Tanah Datar police station held raids on thugs to locations prone to thuggery and criminal acts. The constraints faced are the weakness of the planning system in developing a thuggery prevention plan. Optimizing the prevention of thuggery through bina kusuma operations at the Polres Tanah Datar can be done by realizing coordination and synchronization between district governments to jointly integrate and synchronize each task and its responsibilities according to its authority.

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