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Laravel-Based Career Portal for DISNAKER ESDM Bali I Kadek Agus Surya Candra; Riski Harisandri; I Gede Harsemadi; I Made Bhaskara Gautama
Journal of Business, Social and Technology Vol. 7 No. 4 (2026): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/bustechno.v7i4.798

Abstract

Background: The Department of Manpower and Energy and Mineral Resources (DISNAKER ESDM) of Bali disseminated training and vacancy information through channels that were not yet integrated, limiting centralized public access. Objective: This study developed a Laravel-based career portal and evaluated its functional conformity and perceived usability. Methods: A system-development research design employed the Waterfall stages of requirements analysis, design, development, testing, and maintenance planning. The portal was developed using PHP with Laravel, HTML, CSS, JavaScript, and MySQL. Functional conformity was examined through 30 black-box test scenarios. Perceived usability was assessed following task-based use by 45 participants (35 job seekers, 7 company representatives, and 3 administrators) using a 15-item, positively worded Career Portal Usability Questionnaire. Because this instrument differs from the standard 10-item System Usability Scale (SUS), its normalized 0–100 index was interpreted descriptively and not as a standard SUS score. Results: All 30 functional test scenarios produced the expected outputs in the local test environment. The usability index had a mean of 79.70, a median of 76.50, a standard deviation of 11.38, and a range of 60–100. These findings indicate favorable perceived usability among the participants, although the unbalanced role distribution limits role-specific generalizability. Conclusion: The prototype centralized training, vacancy, application, certificate, reward, and administrative functions and met the specified functional test scenarios. Further validation should use a psychometrically tested instrument, balanced role samples, independent acceptance testing, and evaluations of security, performance, compatibility, and public deployment.
Implementation and Performance Analysis of Mel Frequency Cepstral Coefficient Features in Dangdut Music Sub-Genre Classification Surya Jaya, I Nyoman; Fratiwi, Tria Hikmah; Harsemadi, I Gede; Putra Santika, I Dewa Made Dharma; Maharani, Ni Putu Nanda; Putri Rapayana, Putu Andiny Julia
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12760

Abstract

This study investigates the classification of dangdut music sub-genres using Mel-Frequency Cepstral Coefficients (MFCC) and machine learning approaches. The objective is to evaluate the effectiveness of MFCC in representing audio characteristics and to compare the performance of several classification algorithms, including K-Nearest Neighbor (K-NN), hybrid K-NN optimized with Genetic Algorithm (GA), Support Vector Machine (SVM), and Decision Tree. The dataset consists of 730 audio samples with a duration of 30 seconds each, categorized into three sub-genres: classic dangdut, rock dangdut, and koplo dangdut. The research process includes audio segmentation, extraction of 13 MFCC coefficients, data normalization, train-test splitting (70:30), and performance evaluation using accuracy, precision, recall, F1-score, confusion matrix, and cross-validation. The results indicate that MFCC provides discriminative feature representations, as demonstrated by improved cluster separation in PCA after normalization. Among the evaluated models, hybrid K-NN with GA achieved the highest accuracy of 98.90%, outperforming conventional K-NN, SVM, and Decision Tree. Confusion matrix analysis showed that most samples were correctly classified, with only minor misclassifications between sub-genres sharing similar audio characteristics. Furthermore, consistently high cross-validation accuracies and low standard deviation values confirmed good generalization capability and suggested the absence of significant overfitting. Overall, the findings demonstrate that MFCC is an effective feature for dangdut music sub-genre classification, while normalization and GA-based optimization significantly improve classification performance and model robustness.
Co-Authors A.A Putu Ratih Maha Yoni A.A. Gde Adi Indrawan, A.A. Gde Akmal Ibnu Rosyadi Anak Agung Ngurah Bagus Ananda Kusuma Budaya, I Gede Bintang Arya Dandy Pramana Hostiadi Dedy Panji Agustino Dedy Panji Agustino Dedy Panji Agustino, Dedy Panji Dewa Ayu, Dewa Ayu Mirna Wati Fratiwi, Tria Hikmah Gautama, I Made Bhaskara Gede Indra Raditya Martha I Dewa Made Dharma Putra Santika I Gede Putra Mas Yusadara I Gusti Ayu Desi Saryanti I Gusti Ngurah Darma Paramartha I Gusti Nyoman Triska Subandi, I Gusti Nyoman Triska I Kadek Agus Surya Candra I Kadek Rudyanto, I Kadek I Komang Dharmendra I Komang Kardiyasa I Komang Rinartha Yasa Negara I Made Adi Krisma Dinata I Made Adi Krisma Dinata I Made Adi Purwantara I Made Darma Susila, I Made Darma I Made Pasek Pradnyana Wijaya I Nyoman Kusuma Wardana I Putu Adi Wijaya, I Putu I Putu Agus Ardiana, I Putu Agus I Putu Indra Agastya Lupika Jaya, I Putu Indra Agastya I Wayan Ananta Setiabudi I Wayan Gede Lamopia Indah, Hene Nor Kadek Agus Wirawan Luh Gede Surya Kartika Luh Gede Surya Kartika Luh Gede Surya Kartika, Luh Gede Luh Rediasih M. Alvinnur Filardi Made Sudarma Maharani, Ni Putu Nanda Martha, Gede Indra Raditya Muchammad Naseer Ni Kadek Alvin Surya Bagnesa Ni Kadek Sukerti Ni Luh Putu Sintya Budyawati Ni Luh Ratniasih Ni Luh Ratniasih, Ni Luh Ni Made Dewi Purnama Sari Ni Made Dewi Purnama Sari, Ni Made Dewi Ni Putu Putri Ayu Wijayanthi Ni Wayan Deriani, Ni Wayan Nyoman Pramaita P, I Gst Agung Ayu Uttami Vishnu Pande Putu Gede Putra Pertama Pande, I Made Suandana Astika Pratama, P.T. Eka Yudhi Putra Santika, I Dewa Made Dharma Putri Rapayana, Putu Andiny Julia Putu Sinta Puspadewi, Putu Sinta Putu Tjintia Kencana Dewi Ratih Maha Yoni, A.A. Putu Ricky Aurelius Nutanto Diaz, Ricky Aurelius Ririn Ramadhani, Ririn Riski Harisandri Satya Tunggul Wijayanto, Satya Tunggul Surya Jaya, I Nyoman Tria Hikmah Fratiwi Triana Wasitama Putra, Triana Vishnu P, I Gst Agung Ayu Uttami Wulandari, Riza Yusadara, I Gede Putra Mas