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Sistem Presensi Karyawan Berbasis Geolocation dan Face Recognition Menggunakan Flutter dan Laravel Filament Pada PT XYZ
Susatyono, Jarot Dian
; Prihatmoko, Setiyo
; Fitrianto, Yuli
; Ardananta, Ricky Alfina
; Susatyono, Jarot Dian
; Prihatmoko, Setiyo
; Fitrianto, Yuli
; Ardananta, Ricky Alfina
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Penelitian ini bertujuan untuk mengembangkan sistem presensi karyawan berbasis mobile dan web dengan penerapan teknologi geolocation dan face recognition. Sistem ini dibangun menggunakan framework Flutter untuk aplikasi mobile dan Laravel Filament untuk sistem web. Permasalahan utama yang dihadapi PT Linkfortune adalah ketidakefisienan dalam pencatatan kehadiran manual serta potensi manipulasi data presensi. Dengan penerapan teknologi geolocation, sistem mampu memastikan karyawan melakukan prese...
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The Evolution of Madiun City: The Impact of Accessibility on Urban and Economic Transformation
Forum Geografi
Vol 40
, No 1
(2026)
The development of Madiun from 1900 to the 2000s was shaped by political, economic and infrastructure changes that influenced its urban structure. This research examines the city's transformation from the colonial (1990-1945) to the reform era (1998-now), focusing on the relationship between accessibility and the growth of new economic centres. Although previous studies have explored its development, they lack insights into this specific connection. Using a spatial and diachronic approach, the s...
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Pengaruh Kepemimpinan Demokratik terhadap Kinerja Karyawan Melalui Kedisiplinan sebagai Variabel Intervening pada Jambi Ekspres Televisi
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The purpose of the study is to determine the effect of democratic leadership on employee performance through work discipline as an intervening variable at PT Jambi Eskpres Televisi. This type of research is quantitative research. The population in this study were all employees of PT Jambi Ekspres Televisi, totaling 30 people, with a research sample of 30 people. Data collection used a questionnaire that had been tested for validity and reliability. The research analysis method used descriptive s...
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Strategi Bertahan UMKM Kue di Tengah Persaingan Kuliner Modern
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The rapid growth of the modern culinary industry has created intense competition for Micro, Small, and Medium Enterprises (MSMEs), particularly traditional and home-based cake businesses. This situation requires cake MSMEs to adopt appropriate strategies in order to sustain their businesses. This study aims to analyze the survival strategies implemented by cake MSMEs amid modern culinary competition. The research employs a qualitative approach with a descriptive design. Data were collected throu...
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Comparasi Model Deepseek dan OpenAI dalam Meningkatkan Efisiensi Pencarian Informasi pada Sistem Pencarian Algoritma
Dinamik
Vol 31
, No 1
(2026)
This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of effic...
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Faktor-Faktor yang Mempengaruhi Siswa SMA Al-Kautsar dalam Penggunaan Media Pembelajaran Berbasis Metaverse
Dinamik
Vol 31
, No 1
(2026)
This study aims to investigate the factors influencing the continuance intention of Al-Kautsar Senior High School students in using metaverse-based learning media. The background of this research lies in the rapid adoption of immersive technologies in education, while students’ levels of acceptance have not yet been fully understood. The objective is to identify the antecedents of satisfaction, which subsequently influence continuous intention. The research model examines the effects of perceive...
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Optimasi Sistem Credit Scoring Pembiayaan pada Lembaga Keuangan Mikro dengan Neural Network Integrasi Sample Bootstrapping dan Weighted PCA
Dinamik
Vol 31
, No 1
(2026)
Credit scoring is an important element in decision-making for providing financing, especially for microfinance institutions. Several methods for predicting credit scoring include Decession Tree, Gradient Boosted, Neural Network, K-NN, and Rule Induction. This study aims to improve the accuracy of financing risk prediction by efficiently integrating historical data. The Neural Network (NN) algorithm is a machine learning algorithm consisting of neurons (nodes) connected to each other in several l...
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Differences in the Effects of Strengthening on Bosu and Activity-Based Exercises on Hallux Valgus Pain
FISIO MU: Physiotherapy Evidences
Vol 7
, No 1
(2026)
Introduction: Hallux valgus is a deformity of the first toe characterized by outward bending due to a valgus position at the metatarsophalangeal joint. This deformity can cause pain and interfere with daily activities, especially among working women. To determine the difference in the effects of Strengthening on bosu and Activity-Based Exercises on reducing pain caused by hallux valgus in working women in Bulakrejo Village. Methods: This study used a quasi-experimental two-group with a pre-test...
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Pengelolaan Limbah Rumah Tangga melalui Pelatihan Pembuatan Kuaci Labu Kuning sebagai Camilan Bernilai Ekonomi
Jurnal Abdimas Bhakti Indonesia
Vol 6
, No 2
(2025)
Pengelolaan limbah rumah tangga masih menjadi permasalahan lingkungan yang signifikan, khususnya di wilayah perkotaan. Salah satu limbah organik yang belum banyak dimanfaatkan adalah biji labu kuning yang umumnya dibuang setelah daging buahnya dikonsumsi. Padahal, biji labu kuning memiliki kandungan gizi yang tinggi dan berpotensi diolah menjadi produk pangan bernilai ekonomi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan ibu rumah tangga dal...
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CLUSTER ANALYSIS OF DANA AND GOPAY E-WALLET SERVICE REVIEWS USING TF–IDF AND K-MEANS/K-MEDOIDS: AN ECONOMIC AND MANAGEMENT STRATEGY PERSPECTIVE
Stability: Journal of Management and Business
Vol 8
, No 2
(2025)
This study aims to (1) identify the thematic structure of Indonesian-language user reviews on digital wallet services, (2) compare the clustering quality produced by alternative unsupervised methods, and (3) derive actionable operational insights for service management and financial performance. A quantitative text-mining design is employed, using an unsupervised learning framework on Indonesian-language Google Play Store reviews collected over the 2021–2025 period, comprising 553.500 reviews fo...
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