Ejournal Universitas Indo Global Mandiri (UIGM)
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Efektivitas Seleksi Perangkat Desa di Desa Sidomulyo Kecamatan Pule Kabupaten Trenggalek
Full text linkSelection is a step to choose people with predetermined qualifications in order to fill positions in an organization. This study aims to describe the effectiveness of village apparatus selection in Sidomulyo Village, Pule District, Trenggalek Regency. The type of research is qualitative descriptive research with a case study approach. Data collection techniques using observation, in-depth interviews and documentation studies. Respondents in this study were village heads, committee chairs, Bhabinkamtibmas, and community leaders. The data was successfully collected, processed and analyzed with the help of descriptive qualitative analysis techniques. The results of the study indicate that the selection of village apparatus is generally effective, seen based on 1) transparency of the recruitment process; 2) clarity of laws and regulations; 3) participant competence; 4) quality of the implementing committee; 5) supervision; 6) community involvement. The results of the selection passed competent participants according to the needs of the village government. The village security situation during 2020 to 2024 was safe and there were no disturbances, where during that period 4 village apparatus selection processes were carried out. The implication of this study is that if you want to increase the effectiveness of village apparatus selection, then village leaders, village elite figures and the entire community must commit to not committing fraud and nepotism
Analisis Kebijakan Partai Politik Memenuhi Ketentuan 30% Keterwakilan Perempuan dalam Pencalonan Anggota Legislatif (Studi Pada Pemilihan Umum Tahun 2024 di Kabupaten Ngawi)
No full textPemilu tahun 2024 terjadi penurunan persentase keterwakilan perempuan di DPRD Kabupaten Ngawi jika dibandingkan dengan Pemilu 2019 yaitu hanya ada 20% orang perempuan. Permasalahannya ialah belum semua Parpol mampu mengambil kebijakan yang responsif gender, masih ada Parpol yang menghadapi berbagai persoalan sehingga mengalami hambatan untuk memenuhi ketentuan 30% keterwakilan perempuan. Tujuan penelitian ini untuk menganalisis kebijakan Parpol dalam memenuhi ketentuan 30% keterwakilan perempuan dan hambatan saja apa yang dihadapinya. Penelitian ini merupakan evaluasi kebijakan dengan desain evaluasi single program before-after. Unit analisisnya adalah PDI Perjuangan dan PKS karena beberapa pertimbangan. Pengumpulan data dilakukan melalui in-depth interview dan dokumentasi. Teknik analisis melalui analisis isi dan analisis interaktif. Analisis gender dilakukan dengan teknik analisis Gender Analysis Pathway. Hasil penelitian menunjukkan bahwa PDI Perjuangan lebih mengintegrasikan nilai-nilai gender daripada PKS. Kedua Partai politik sama-sama lebih memberikan peluang yang lebih besar pada calon incumbent untuk duduk di nomor urut 1 dan 2 yang rata-rata diisi oleh Caleg laki-laki. Sementara, hambatan yang dialami oleh Parpol: (1) hambatan sistem politik, dimana sistem proporsional terbuka menjadi tantangan berat bagi Caleg perempuan untuk memperoleh suara terbanyak; (2) hambatan sosial kultural, budaya patriaki mengakibatkan belum terbuka lebarnya peluang bagi Caleg perempuan untuk dipilih; (3) hambatan psikologis, kurangnya kepercayaan diri perempuan terhadap kemampuannya, dan (4) hambatan sosial ekonomi yakni lemahnya sumber daya modal yang dimiliki Caleg perempua
The Effectiveness of Identifying Residential Housing using Image Recognition by Artificial Intelligence
Full text linkResidential housing identification based on satellite imagery has become an important approach in supporting urban planning, disaster management, and regional mapping. This study evaluates the effectiveness of settlement recognition techniques using high-resolution imagery and artificial intelligence (AI) models, specifically deep learning methods based on convolutional neural networks (CNN) and object segmentation. The main factors that affect identification accuracy include image spatial resolution, preprocessing quality, training data diversity, and the geographic complexity of the observed area. Based on the analysis results, the use of high-resolution imagery combined with image recognition by AI such as Google Gemini and ChatGPT can produce an accuracy of 68.4% in calculating the number of buildings. This value tends to be low to achieve a high level of accuracy in calculating the number of buildings therefore it is not recommended to calculate the number of buildings accurately, but it can be used to determine housing availability in a range of values. However, to analyze building density, AI can successfully generate complex images of building density according to the conditions of the given image. AI can be used to aid urban planning while emphasizing the importance of selecting data sources, careful preprocessing techniques, and adaptive machine learning models to improve the effectiveness of settlement recognition, especially in areas with complex spatial structures in the fields of regional and urban planning and disaster management
Annotated Checklist of the Macrofungi (Fungi: Dikarya) of Pelawan Forest, Bangka Island, Sumatra
Full text linkThis study provides an annotated checklist of macrofungi in Pelawan Forest, Bangka Island, Indonesia. A total of 59 species of macrofungi from 22 families were documented, highlighting the presence of macrofungi in the area. The families Polyporaceae, Agaricaceae, and Marasmiaceae were the most diverse, accounting for over 50% of the total species recorded. The most common family found was Polyporaceae, with 13 species. Our findings indicate that Pelawan Forest has significant economic potential related to macrofungi, such as species used as food or medicine. This study can serve as a reference for developing effective conservation and management strategies for the forest ecosystem in Bangka Island.
Keywords: Bangka Island, biodiversity, Indonesia, macrofungi, Pelawan Forest
Spatial Analysis for Habitat Estimation of the Sumatran Chestnut-necklaced Partridge Tropicoperdix charltonii atjenensis (Galliformes: Phasianidae) in Aceh, Sumatra, Indonesia
Full text linkThe Sumatran Chestnut-necklaced Partridge Tropicoperdix charltonii atjenensis is a subspecies endemic to the lowland forests of Aceh and Lampung, Sumatra. This study used the Analytical Hierarchy Process (AHP) to identify suitable habitats for this subspecies, considering environmental variables such as elevation, tree cover, slope, distance to water sources, and anthropogenic factors. Data collection and spatial analysis were conducted from July 22 to August 23, 2023. The AHP analysis revealed that T. c. atjenensis is typically found in lowland habitats with specific characteristics: average elevation of 130 meters, proximity to water sources, and very dense forest cover (93%). Additionally, suitable habitats tend to be far from road access (average distance of 1.7 km) and residential settlements (average distance of 5.3 km). The resulting distribution map highlights the importance of well-preserved, forested areas as primary habitats for this subspecies
Notes on Humans as Prey of Reticulated Pythons Malayopython reticulatus (Serpentes: Pythonidae) in Indonesia
Full text linkThis study examines documented cases of humans being preyed upon or attempted to be preyed upon by Reticulated Pythons Malayopython reticulatus in Indonesia, spanning nearly a century from 1927 to 2025. Our study reveals 17 incidents, with snakes involved measuring between 5-8 meters in length. The victims' ages ranged from 13 to 90 years old, with 13 fatalities reported. Both males and females were affected, with 8 incidents involving men and 8 involving women. Sulawesi emerges as a hotspot for such encounters, accounting for a significant proportion of reported cases. This study highlights the importance of understanding human-python encounters and promoting a more harmonious coexistence between humans and wildlife in Indonesia.
Keywords: human-wildlife coexistence, Indonesia, large snake, Malayopython reticulatus, Reticulated Python
MODEL PERCEPTRON UNTUK KLASIFIKASI KEPUASAN MAHASISWA TERHADAP ASISTEN LABORATORIUM KOMPUTER
Full text linkCurrently, student speculation on the performance of laboratory assistants varies greatly because there is no definitive data on their performance. Some students think that laboratory assistants do not do their job or speculate otherwise. The purpose of this study is to use a machine learning approach based on the Perceptron model to examine the level of student satisfaction with the services of computer laboratory assistants. Due to its effectiveness in binary classification, the Perceptron model was chosen. Using a questionnaire with two answer categories - “Yes” for satisfied and “No” for dissatisfied - 67 students at UIN SU's Computer Science Study Program provided survey results. Afterwards, the data underwent pre-processing steps such as normalization, numerical coding, and separation into training (80%) and testing (20%) data. Based on the training results, the Perceptron model consistently achieved 86% accuracy in both classes in terms of precision, recall, and F1-score. The strong performance of the model in identifying students' happiness and dissatisfaction is shown by the Confusion Matrix ranking. Both precision and recall were 88% for the “Dissatisfied” class and 83% for the “Satisfied” class. This shows that even with an unequal number of samples across classes, the model can effectively identify patterns in the data. The consistent performance of the model proves the effectiveness of this method in assessing the quality of laboratory assistant services. To improve learning in the laboratory, this research significantly advances the development of machine learning applications. Testing on larger and more varied datasets is recommended for additional validation to ensure the generalizability of the model
Sistem Informasi Medis Untuk Meningkatkan Akses Masyarakat Di Puskesmas BPR Ranau Tengah
Full text linkThe Buay Pematang Ribu (BPR) Ranau Tengah Community Health Center is a government-owned health facility located on H. Rusdi Abili Street, Simpang Sender Village, Buay Pematang Ribu District, Ogan Komering Ulu Selatan Regency. It routinely serves the public from Monday to Friday, with an average of 20-30 visitors served daily, which leads to overwhelming workloads and relatively slow service. In terms of data management, ranging from patient examination records, medical record management, everything is still unstructured and managed manually in notebooks. As a result, data management processes such as searching for information and generating reports are inconsistent and inaccurate. For the public, there is no direct access to health service information. The community also cannot contact health center staff directly because the BPR Ranau Tengah Community Health Center lacks communication channels, such as a website or social media. Therefore, the development of a medical information system is needed to address these issues, both in terms of improving staff efficiency in managing medical records and examinations, as well as facilitating the public’s access to health service information online. The implementation of such a system would enable easier interaction between the public and the health center, improve the quality of health services that are quickly and timely accessible, and simplify the management of patient examination data and medical records
Sistem Informasi Pencatatan Kesehatan Pegawai Dinas Kesehatan Provinsi Sumatera Selatan
Full text linkThis study aims to develop a web-based Employee Health Record Information System for the South Sumatra Provincial Health Office to enhance the efficiency of employee health data management. The developed system is designed to address issues associated with manual record-keeping, such as data loss, recording errors, and limited access to information. By applying the Waterfall method, the system is developed through the stages of requirements analysis, design, implementation, and testing. The results of this study indicate that the system facilitates employee health record management, improves data accuracy, and supports more effective decision-making for the Health Office. The implementation of this system also provides real-time information access for employees and medical personnel, thereby improving the quality of internal health services
Sistem Informasi Layanan Administrasi Desa Berbasis Web pada Kantor Desa Ulak Kemang Baru
Full text linkThis study aims to design and develop a web-based village administrative service information system for the Ulak Kemang Baru Village Office. The system is designed as a solution to various issues faced in manual administrative services, such as slow document processing, inefficiencies in document management, and limited time and accessibility for the community. Through the web-based system, the community can submit administrative requests online, while village officials can manage data in a more structured and efficient manner. The software development method used is the Prototype method, which enables iterative system development involving user feedback. The system design process utilizes Unified Modeling Language (UML) for system modeling, while system implementation is carried out using PHP and MySQL. The system testing was performed using the blackbox method, which focuses on testing system functionality without considering internal implementation details. The results indicate that the information system can improve the efficiency and effectiveness of village administrative services. The system successfully provides key features such as user registration, document submission, verification by village officials, and report generation. Based on the testing results, all major system features function as expected according to user requirements. With this system, it is expected that administrative services at the Ulak Kemang Baru Village Office will become faster, more transparent, and easily accessible to the community, supporting the digitalization of public services at the village level