E-Journal UNUJA (Universitas Nurul Jadid)
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EFFORTS TO ACCELERATE POVERTY REDUCTION THROUGH THE HUMAN DEVELOPMENT INDEX (HDI) IN THE SOCIETY
Get PDFPoverty is a scourge for local governments which has an impact on regional GDP. The government is trying to reduce it with various strategies. One of them is by optimizing HDI and increasing people's per capita income. The regional potential is very large for development, but it has not yet had a significant impact on the aspects of agriculture, plantations and tourism through regional UMKM. Why is it not optimal in several aspects to raise the HDI in Proboinggo Regency, especially in West Tiris? This research tries to explore strategies to reduce extreme poverty rates through the Human Development Index. The research method uses a descriptive analytical approach consisting of several stages used for variable exploration and strategy development. The results of this research are that people in West Tiris suffer from general obstacles including 1. education, namely limited access to schools, second: health, limited access to health services: Third, Economy and Income. Livelihoods in West Tiris are limited and still focus on less productive agriculture and plantations, some village youths have migrated out of the area
IMPLEMENTATION OF A WAREHOUSE MANAGEMENT SYSTEM (WMS) TO IMPROVE OPERATIONAL EFFICIENCY
Get PDFThis study aims to analyze the implementation of Genesis, Lion Parcel's internal Warehouse Management System (WMS), in enhancing operational efficiency at the Gunung Krakatau Branch in Medan. The research method used is descriptive qualitative with a case study approach. Data was obtained through direct observation, semi-structured interviews with warehouse and operations staff, as well as internal company documentation. The research findings indicate that the implementation of Genesis has had a positive impact on several efficiency indicators, including faster sorting processes, improved stock recording accuracy, reduced human error, real-time data access, and enhanced operational reporting quality. The system has also contributed to a significant decrease in customer complaints. However, the implementation of Genesis also faces several challenges, such as human resource adaptation to new technology, reliance on internet connectivity, and the need for updated standard operating procedures (SOPs). Overall, the Genesis system holds great potential to be further developed as part of Lion Parcel's digital transformation in logistics management. Its implementation not only improves operational efficiency at the branch level but can also serve as a strategic digitalization model to be widely applied throughout the company’s distribution network
THE EFFECT OF SUPERVISION ON EMPLOYEE WORK DISCIPLINE THROUGH ORGANIZATIONAL CULTURE AS AN INTERVENING VARIABLE ON EMPLOYEES OF PT. LUTHFI ARYA TEKHNIK FROM AN ISLAMIC ECONOMIC PERSPECTIVE
No full textThis study aims to analyze the influence of supervision on employee work discipline through organizational culture as an intervening variable at PT. Luthfi Arya Tekhnik from an Islamic economic perspective. Human resources are strategic assets in the construction industry that require an effective supervision system and a strong organizational culture to achieve optimal levels of work discipline. The integration of Islamic economic values such as amanah, muraqabah, and ihsan provides a spiritual dimension that can strengthen the relationship between supervision and employee work discipline. The study used a quantitative approach with an explanatory survey design on 136 employee respondents selected through stratified proportional random sampling. Data were collected using a structured questionnaire with a Likert scale and analyzed using path analysis techniques. The results showed that supervision had a positive and significant effect on work discipline with a path coefficient of 0.762 (p<0.05). Supervision also had a significant effect on organizational culture with a coefficient of 0.789, while organizational culture had an effect on work discipline with a coefficient of 0.432. The Sobel test confirmed that organizational culture acts as a significant mediator (z=4.273, p<0.05) with a mediation effect of 44.7% of the total influence of supervision on work discipline. The findings indicate that the implementation of Islamic economic values in the supervision system and organizational culture is effective in improving employee work discipline through the development of spiritual awareness and trustworthy responsibilities. This study provides theoretical contributions to the development of Islamic management theory and practical implications for human resource management in the Indonesian construction industry
Optimasi Task Scheduling dengan Enhanced Whale Optimization pada Cloud dan MEC
Get PDFStudi ini berdasarkan metode Enhanced Whale Optimization Algorithm (EWOA). Serangkaian simulasi dengan berbagai skenario pengujian dilakukan untuk mengetahui seberapa efektif algoritma tersebut. Selama tahap implementasi, peneliti membuat prototipe media uji berbasis web. Dengan menggunakan prototipe ini, peneliti dapat melihat bagaimana algoritma membagi beban kerja di antara berbagai server. Selama pengujian, parameter seperti throughput, packet loss, dan latency dinilai. Hasilnya menunjukkan bahwa versi EWOA sederhana dapat menyalurkan beban secara merata, yang menghasilkan throughput 100% dan packet loss nol. Metode ini menunjukkan kinerja yang lebih efisien dan stabil dibandingkan dengan metode lain seperti alokasi acak, Round Robin, dan alokasi statis. Hasil menunjukkan bahwa penerapan logika EWOA adalah salah satu alternatif yang dapat digunakan untuk meningkatkan pemanfaatan sumber daya sambil meningkatkan kinerja sistem dalam lingkungan Cloud dan MEC
Transformasi Digital dalam Bimble: Inovasi E-Materi dan Penugasan Interaktif Berbasis Teknologi.
Get PDFTransformasi digital dalam pendidikan nonformal, khususnya lembaga bimbingan belajar (bimble), masih menghadapi tantangan berupa rendahnya pemanfaatan teknologi secara optimal dalam penyajian materi dan penugasan pembelajaran. Kondisi ini berdampak pada keterbatasan interaksi, partisipasi, dan efektivitas evaluasi belajar siswa. Penelitian ini bertujuan untuk menganalisis implementasi inovasi e-materi dan penugasan interaktif berbasis teknologi serta mengevaluasi dampaknya terhadap kualitas pembelajaran di lembaga bimbingan belajar. Metode penelitian yang digunakan adalah mixed methods dengan pendekatan studi kasus dan survei. Data kualitatif diperoleh melalui wawancara, observasi, dan analisis dokumen, sedangkan data kuantitatif dikumpulkan menggunakan kuesioner berskala Likert yang melibatkan 50 siswa. Hasil penelitian menunjukkan bahwa penerapan e-materi berbasis multimedia meningkatkan kemudahan akses dan daya tarik materi pembelajaran, sementara penugasan interaktif mampu mendorong partisipasi aktif siswa serta memperjelas instruksi tugas. Analisis kuantitatif memperlihatkan skor tertinggi pada aspek kemudahan akses e-materi dan kejelasan instruksi penugasan, meskipun mekanisme umpan balik masih perlu ditingkatkan. Secara keseluruhan, transformasi digital terbukti efektif dalam meningkatkan kualitas pembelajaran bimble apabila didukung oleh desain materi yang kontekstual, kesiapan pengajar, serta infrastruktur teknologi yang memadai
Model Hybrid CNN-LSTM Untuk Prediksi Penjualan Pupuk Pada Data Time Series
Get PDFKetersediaan pupuk yang tepat waktu dan sesuai kebutuhan merupakan faktor penting dalam mendukung produktivitas pertanian. Namun, kios penyalur pupuk sering menghadapi ketidaktepatan dalam memperkirakan permintaan, sehingga menyebabkan ketidaksesuaian stok pada musim tanam. Penelitian ini bertujuan menghasilkan model prediksi penjualan pupuk Urea dan NPK yang lebih akurat menggunakan pendekatan hybrid CNN-LSTM berdasarkan data time series historis. Metode penelitian meliputi penggabungan dan seleksi data, penambahan fitur musiman, normalisasi, serta pembentukan data sekuensial untuk pelatihan model. CNN digunakan untuk mengekstraksi pola lokal, sedangkan LSTM menangkap pola temporal jangka panjang. Model dilatih menggunakan teknik windowing dan early stopping untuk menghindari overfitting. Hasil eksperimen menunjukkan bahwa model hybrid CNN-LSTM mampu memberikan prediksi dengan tingkat kesalahan rendah, dengan nilai MSE pada data uji sebesar 0,0037. Temuan ini menunjukkan bahwa pendekatan hybrid efektif dalam mempelajari pola penjualan pupuk yang fluktuatif. Kesimpulannya, model CNN-LSTM dapat digunakan sebagai alat bantu dalam perencanaan distribusi, sehingga pengelolaan stok di kios pupuk dapat dilakukan secara lebih efisien dan tepat sasaran
Hybrid ViT–CNN Model for Automatic Monkeypox Skin Lesion Diagnosis
Get PDFMonkeypox is a re-emerging zoonotic disease that presents with skin lesions resembling other dermatological conditions, which complicates reliable diagnosis. This study introduces a hybrid deep learning framework that integrates Vision Transformers (ViT) with Convolutional Neural Networks (CNN) for automatic classification of monkeypox lesions. Three hybrid scenarios were evaluated: ViT + DenseNet121, ViT + ResNet50, and ViT + InceptionV3.A combined dataset of PAD-UFES-20 and the Monkeypox Skin Lesion Dataset (MSLD), containing more than 2,500 dermoscopic images resized to 224×224 pixels, was used to train all models from scratch. Unlike prior works that relied on transfer learning and extensive augmentation, this study establishes a reproducible baseline without such enhancements. Model performance was assessed using accuracy, precision, recall, F1-score, and ROC-AUC, as well as computational efficiency metrics including training time and inference speed.The results show that hybrid ViT–CNN architectures achieved consistently better performance than single networks. Among the three scenarios, ViT + InceptionV3 provided the most balanced outcome, This approach combines reliable diagnostic accuracy with efficient inference. These findings demonstrate the value of integrating CNN-based local feature extraction with the global contextual modeling capacity of ViTs.This study establishes an experimental benchmark for monkeypox lesion classification and identifies hybrid architectures as a viable direction for future development. The framework can be extended with transfer learning, advanced augmentation, and lightweight optimization techniques, supporting potential deployment in resource-limited healthcare environments
Application of Backpropagation Artificial Neural Networks for Optimizing Corn Production Prediction in Karo Regency
Get PDFCorn production in Karo Regency, North Sumatra, plays a crucial role in supporting regional food security and the local economy. However, fluctuations in production caused by unpredictable environmental conditions and limited data-driven forecasting methods have made it difficult for policymakers and farmers to plan effectively. This study aims to address this problem by developing a model to predict corn production using the Backpropagation Neural Network (BPNN) method. The study utilized 302 cleaned datasets, with Planted Area and Harvested Area as input variables, and Production as the output variable. The dataset was divided into 70% for training and 30% for testing. Five BPNN architectures (ranging from 2-4-1 to 2-12-1) were tested using three activation functions (Sigmoid, ReLU, and Tanh), with a maximum of 200 iterations and a learning rate of 0.01. The best results were achieved by the 2-12-1 architecture with the Tanh activation function, obtaining an R-squared value of 94.86% and a Mean Squared Error (MSE) of 0.0039. These findings demonstrate that the Backpropagation Neural Network is effective for forecasting corn production and can serve as a valuable decision-support tool for sustainable agricultural planning in the region
Digitization of Employee Attendance Processes Through a Web-Based QR Code System at MA Nurul Wahid al Wahyuni
Get PDFThe manual attendance process at MA Nurul Wahid al Wahyuni often causes various problems, such as late recording, inaccurate data, and potential fraud. Therefore, this study aims to design and implement a web-based employee attendance system by utilizing QR Code technology as a more efficient and accurate digital solution. The methodology used in developing this system is the Waterfall method, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. This system allows each employee to take attendance by scanning a QR Code via a mobile device, which automatically records the time and user identity into the database. The test results show that this system is able to increase the efficiency and accuracy of attendance recording, namely this system is proven to be able to speed up the attendance process and cannot be changed by ordinary users, as well as facilitate the management of attendance data by the administration department. With the implementation of this system, it is expected that the attendance process at MA Nurul Wahid al Wahyuni will become more modern, transparent, and integrate
Implementasi Ecobox Smart Dryer Berbasis IoT untuk Produksi Tepung Labu Kuning sebagai Pangan Alternatif
Get PDFBulungcangkring Village in Jekulo District, Kudus Regency, has strong agricultural potential, with most residents working as farmers. Some have begun cultivating non-rice commodities such as pumpkin and purple sweet potato, which offer opportunities for value-added processing and increased income. KUB Elbina, a 20-member local enterprise group, focuses on processing these agricultural products, especially pumpkin flour. However, the group faces technological limitations, particularly in post-harvest drying, which is still done through open sun drying. This method requires ±24 hours, yields only ~70%, depends heavily on weather, and poses contamination risks from dust, insects, and microorganisms, resulting in inconsistent product quality, including non-uniform flour color. This community service program implements an IoT-based Ecobox Smart Dryer as an appropriate technology to improve processing efficiency and product quality using a Participatory Action Research (PAR) approach. Activities include problem identification, equipment installation, training, production assistance, and evaluation. The results show significant improvements: drying time reduced to ±8 hours, yield increased to ~90%, moisture content stabilized at ≤10%, and flour color became more uniform. The program outputs include a fully functioning Smart Dryer, enhanced production capacity, improved product quality, and strengthened operator skills