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All Journal Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) Jurnal Riset Rumpun Ilmu Hewani (JURRIH) Jurnal Magister Hukum Perspektif Journal of Advanced Health Informatics Research The Journal General Health and Pharmaceutical Sciences Research Jurnal Ilmiah Informatika dan Komputer Journal of Blockchain, Nfts and Metaverse Technology Jurnal Multidisiplin Pengabdian Masyarakat (JMPM)
Al-Hakim, Rosyid
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Preliminary study of the interaction between kejawen esoteric and wild macaques in kalisalak forest, central java-indonesia Al-Hakim, Rosyid; Hidayah, Hexa; Putri, Esa R. C.; Karsam, Karsam
Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) Vol. 4 No. 1 (2024): Marc: Mathematics and natural science
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah I Sumatra Utara (LLDikti I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54076/jumpa.v3i2.281

Abstract

Ethnobiology became a research trend of human-integrated biology-ethnicity to support their lives. Ethnobiology for ethnic and indigenous peoples continued to be passed down by belief in each generation—Indigenous peoples in Central Java-Indonesia, Kejawen esoteric, whose lives always coincide with ethnobiological science. A previous study reported the preliminary study of the interaction between Kejawen esoteric and wild macaques at Kalisalak Forest, Central Java-Indonesia, but it is unclear. This study is an extended version of the previous study that explains more about the human-primate interaction at Kalisalak Forest. The method used in-depth interviews with 83 householders that believed in Kejawen's esoteric faith. Ethnobiological studies discussed are in the form of ethnobotany and ethnozoology (ethnoprimatology). This study result shows that there is no visible relationship between Kejawen esotericism and the presence of wild macaques in the Kalisalak forest, as well as indigenous Kejawen esoteric really cares about the wild macaque’s population in other ways—the interaction related to supporting the biodiversity and SDGs 2030's goals.
Enhancing Paediatric Diabetes Management: How Artificial Intelligence is Revolutionising Care Melani, Reina; Samodra, Galih; Al-Hakim, Rosyid
The Journal General Health and Pharmaceutical Sciences Research Vol. 2 No. 2 (2024): June : The Journal General Health and Pharmaceutical Sciences Research
Publisher : LPPM STIKES KESETIAKAWANAN SOSIAL INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57213/tjghpsr.v2i2.378

Abstract

Artificial intelligence (AI) is transforming paediatric diabetes management, offering innovative solutions for monitoring, treatment, and prediction. This mini-review explores how AI is being utilised to improve the care of children with diabetes mellitus, focusing on its application in glucose monitoring systems, predictive algorithms, and personalised treatment plans. The study synthesises recent advancements in AI technologies, examining their impact on enhancing the accuracy of diagnosis, reducing the burden on healthcare providers, and improving patient outcomes. Through a systematic review of the literature, key AI tools and models that have shown promise in paediatric diabetes care are identified. The findings highlight the potential of AI to revolutionise diabetes management, with implications for both clinical practice and future research. However, challenges remain in ensuring the ethical implementation and integration of these technologies into existing healthcare systems. The paper concludes with recommendations for advancing AI applications in this field, emphasising the need for continued innovation and collaboration between healthcare professionals and AI developers.
Predicting internal diseases in humans using machine learning: A systematic literature review Al-Hakim, Rosyid; Prokopchuk, Yurii
Journal of Advanced Health Informatics Research Vol. 2 No. 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v2i1.195

Abstract

Human health is the main focus of clinical medicine, especially in understanding internal diseases involving the body's organs. Identifying and predicting disease at an early stage is essential to prevent the development of more severe disease. These challenges encourage using the latest technologies, especially machine learning techniques. This technology is used to ensure accurate disease predictions. The results of the research identified various types of internal diseases, including heart, kidney, lung and liver cancer, and highlighted the associated symptoms and risk factors. Several algorithms are used to classify internal diseases, including the classification of heart disease. The logistic regression algorithm is the most efficient, with accuracy results of 88.52%. Meanwhile, CHIRP kidney disease classification provides the most efficient results with an accuracy of 99.75%. MobileLungNetV2 has an accuracy of 96.97% for lung disease classification, and classification for liver disease produces the highest accuracy in logistic regression at 72.50%. Machine learning in disease prediction significantly contributes, especially in increasing accuracy and efficiency in diagnosis and risk prediction. Despite significant progress, challenges such as dataset size, data quality, and model validation need to be addressed to maximise the potential of this technology in clinical practice.
Stereotype and abnormal behaviour in Macaca fascicularis captive: Towards good environmental enrichment for its sustainability Nasution, Erie; Al-Hakim, Rosyid; Rukayah, Siti
JURNAL RISET RUMPUN ILMU HEWANI Vol. 1 No. 2 (2022): Oktober : Jurnal Riset Rumpun Ilmu Hewani
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (771.683 KB) | DOI: 10.55606/jurrih.v1i2.551

Abstract

Stereotypes and abnormal behaviour (SAB) exhibited by long-tailed macaques (LTMs) have attracted the attention of behavioural study, although caused by many factors. Mostly found in captivity, it can also occur in the natural environment. This study aims to review several scientific articles on SAB in LTMs, as well as for environmental enrichment conditions. This study used a web-based survey to collect all scientific publications related to SAB in LTMs with a statistical correlation test to determine the cost of individuals' needs as an animal model for the research and the regression test to determine the effects of the number of individuals observed, as well as SAB types in LTMs. This study used two variables: the number of individuals and SAB types and sorted by rank. The statistical correlation result shows that the cost of individuals' needs as an animal model for the research and publication's year is positive correlate. The regression test result shows that the total number of individuals observed is significantly different (p-value<0.05, one-tailed) between SAB types. The primary goal of stimulating environmental enrichment is to give pleasant options for animals based on the treatment object in the study supplied while emphasising animal welfare and promoting research effectiveness.
Using Backpropagation Neural Network for Polyvinylchloride Ceiling Price Modeling Purnawan, Hendra; Putra, Ryan; Fauzi, Rifqi; Setiawan, Antonius; Jaenul, Ariep; Al-Hakim, Rosyid; Nugroho, Habibie; Kuntjoro, Yanif
Jurnal Ilmiah Informatika dan Komputer Vol. 1 No. 1 (2024): Juni 2024
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/caz0ac86

Abstract

Sales predictions on building material products today have applied an artificial neural network approach. One of the products of building material that need to be predicted for sales is polyvinylchloride (PVC) ceilings. Most companies haven’t implementing prediction technique for the sale of PVC ceilings, so this study aims to predict PVC ceiling sales with the backpropagation neural network (BPNN) method using the R algorithm. Unit gradients are calculated using the average absolute per cent error value (MAPE) to minimize the total square errors of network output. The results showed that the network architecture used was 4 to 6-1 and obtained an accuracy of 88% based on the lowest MAPE value.
Analysis of Distributed File System Replication Using the NDLC Method with Hyper-V Virtual Simulation Machine Sumirat, Ucu; Setiawan, Antonius; Wilyanti, Sinka; Al-Hakim, Rosyid
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 1 No. 1 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v1i1.59

Abstract

The need to access file sharing easily on an organization's computer network was increased. Users didn't have to worry about the number of file server addresses that can be accessed and are made with only one access address to use file sharing. The availability of data on the network to file storage availability in an organization was also essential. Data would be permanently lost, following a reason including hardware failure, or even accidentally deleted. It was important to ensure that there was a copy of the data. Achieving good data availability requires a system strategy built in the organization's data center. This research used Distributed File System Replication (DFSR) based on active directory domain services with Windows Server. The research method used NDLC (Network Diagram Life Cycle) method. This research was conducted through analysis with the Hyper-V virtual simulation machine. The results of the research with this simulation are that the Distributed File System (DFS) makes it easy for users to access file shares on several file server nodes using only one URL address. DFSR makes it easy for users to clone files automatically on multiple nodes file servers at other locations. DFSR, with its Share and Publish features, provide good data availability. If one of the file server nodes experiences an interruption, the file server nodes at another location would be taken over to provide the data. This system makes it easy for administrators to manage file servers
Strategi Efektif Penjaringan dan Penyaringan Perangkat Desa (P3D) di Kecamatan Lumbir: Kolaborasi Akademisi dan Masyarakat Al-Hakim, Rosyid; Ardianto, Rian; Suryani, Riska; Jayusman, Hadi; Nisa, Khoirun; Samodra, Galih; Melani, Reina; Sebayang, Septian; Pangestu, Agung
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 2 No. 1 (2025): Februari
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Program Penjaringan dan Penyaringan Perangkat Desa (P3D) di dua desa yang berada di Kec. Lumbir bertujuan untuk meningkatkan transparansi dan kualitas seleksi perangkat desa melalui inovasi berbasis teknologi. Program ini melibatkan 46 pendaftar, 21 anggota tim panitia, serta dukungan dari pemerintah desa, kecamatan, dan unsur keamanan. Inovasi utama dalam program ini adalah penerapan sistem Computer Based Test (CBT) dengan fitur live scoring, yang mencakup tiga aspek penilaian: ujian tulis (40%), praktik pengoperasian komputer (30%), dan wawancara kompetensi (30%). Hasil program menunjukkan tingkat keberhasilan sebesar 90%, yang mencerminkan efektivitas metode seleksi yang diterapkan. Kolaborasi multi-stakeholder dan penggunaan fasilitas laboratorium komputer universitas menjadi faktor kunci keberhasilan program ini. Namun, beberapa tantangan seperti adaptasi peserta terhadap sistem CBT dan koordinasi antar pemangku kepentingan berhasil diatasi melalui pelatihan dan penguatan komunikasi digital. Program ini menghasilkan template sistem seleksi digital yang dapat di replikasi di desa lain, peningkatan kapasitas panitia lokal, dan dokumentasi SOP (Standard Operational Procedure) yang terstandar. Rekomendasi untuk pengembangan program meliputi peningkatan kapasitas SDM (Sumber Daya Manusia), pengembangan sistem evaluasi, dan replikasi program di desa lain. Program ini diharapkan menjadi model inovatif dalam rekrutmen perangkat desa yang lebih transparan dan profesional.
Controlling Stunting and Community Nutritional Status through Integration of PUSKESMAS and AI: A Case Study in Cilongok, Banyumas Al-Hakim, Rosyid; Ardianto, Rian; Suryani, Riska; Jayusman, Hadi; Nisa, Khoirun; Nugroho, Ady
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 2 No. 2 (2025): Agustus
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Stunting remains a critical public health issue in Indonesia, with long-term consequences for children’s cognitive and physical development. This community engagement project aimed to strengthen early detection and prevention of stunting in Rancamaya Village, Cilongok, Banyumas, through the integration of grassroots health education and artificial intelligence (AI) technology. The program involved midwives, Posyandu cadres, and youth from Karang Taruna in a series of educational sessions focused on nutrition, family planning, and child development. Participants were trained to use an AI-based mobile application designed to assist in identifying stunting risk using anthropometric data. The intervention resulted in improved community health literacy, greater responsiveness to early signs of malnutrition, and successful adoption of AI tools by local health workers. This initiative not only demonstrated the feasibility of deploying digital health technologies in rural settings but also underscored the importance of community-driven collaboration in addressing complex health challenges. The program presents a scalable model for similar contexts across Indonesia and beyond.
PRESIDENTIAL THRESHOLD LEGAL ANALYSIS WITHIN INDONESIAN PRESIDENTIAL ELECTION (2003-2020) Wiryawan, Anindita; Al-Hakim, Rosyid
Jurnal Magister Hukum Perspektif Vol. 16 No. 1 (2025)
Publisher : Magister Ilmu Hukum, Universitas Wisnuwardhana Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/magister.v16i1.122

Abstract

Presiden, Mahkamah Konstitusi, dan DPR adalah lembaga negara yang menjalankan fungsi eksekutif, yudikatif, dan legislatif untuk menegakkan konstitusi. Presiden dipilih langsung oleh rakyat, dengan tata cara pencalonan diatur dalam Pasal 6 dan 6A UUD 1945, yaitu melalui partai politik atau gabungan partai politik. Sejak 2003 hingga 2018, sejumlah regulasi seperti UU No. 23/2003, No. 42/2008, dan No. 7/2017 mengatur ambang batas pencalonan presiden dan wakil presiden berdasarkan perolehan suara hasil pemilu legislatif. Dalam praktiknya, sejumlah pihak mengajukan uji materi ke Mahkamah Konstitusi, namun hingga kini tidak ada putusan yang membatalkan klausul ambang batas tersebut. Ambang batas presiden dinilai membatasi hak calon independen dan membatasi partai politik mencalonkan presiden dan wakil presiden. Mahkamah Konstitusi bahkan dinilai seolah menjadi lembaga legislatif kedua karena memiliki pengaruh besar dalam pembentukan hukum. Namun, baik lembaga legislatif maupun yudikatif tidak proaktif mengubah klausul ini dan justru memperkuatnya. Penelitian ini merupakan penelitian hukum normatif dengan pendekatan peraturan perundang-undangan, putusan pengadilan, dan teori hukum. Penelitian ini mengkaji wacana ambang batas presidensial dari 2003–2018 dan dampaknya terhadap ambang batas parlemen, sistem multipartai, kompetisi politik, sistem presidensial, serta pemilihan presiden dan pemilu serentak. Kata Kunci: Ambang batas pencalonan presiden, Pencalonan presiden, Pemilu serentak Indonesia, Sistem multi-partai, Sistem presidensial.
Co-Authors Agung Pangestu Ardianto, Rian Ariep Jaenul Fauzi, Rifqi Hidayah, Hexa Jayusman, Hadi Karsam Karsam Khoirun Nisa Kuntjoro, Yanif Melani, Reina Nasution, Erie Nugroho, Ady Nugroho, Habibie Prokopchuk, Yurii Purnawan, Hendra Putra, Ryan Putri, Esa R. C. R Siti Rukayah Samodra, Galih Sebayang, Septian Setiawan, Antonius Suryani, Riska Ucu Sumirat Wilyanti, Sinka Wiryawan, Anindita