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Journal of Engineering and Science Application
Published by Institute Of Advanced Knowledge and Science
ISSN : 30470544     EISSN : 30469627     DOI : https://doi.org/10.69693/jesa
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT
Journal of Engineering and Science Application (JESA) is published by the Institute Of Advanced Knowledge and Science in helping academics, researchers, and practitioners to disseminate their research results. JESA is a blind peer-reviewed journal dedicated to publishing quality research results in the fields of Applied Sciences, Engineering and Information Technology. All publications in the JESA Journal are open access which allows articles to be available online for free without any subscription. JESA is a national journal with e-ISSN: 3046-9627, and is have fee of charge in the submission process and review process. Journal of Engineering and Science Application publishes articles periodically twice a year, in April and October. JESA uses Turnitin plagiarism checks, Mendeley for reference management and supported by Crossref (DOI) for identification of scientific paper.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 50 Documents
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Pengenalan Aksara Batak Toba Menggunakan Modified Direction Feature dan Learning Vector Quantization Lola Oktavia
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.61

Abstract

Aksara Batak Toba merupakan salah satu warisan budaya Nusantara yang menghadapi tantangan kepunahan akibat minimnya pemahaman masyarakat terhadap huruf dasar (Ina Ni Surat). Pengembangan sistem pengenalan pola tulisan tangan aksara daerah (Optical Character Recognition) sangat krusial untuk pelestarian literasi digital dan edukasi budaya. Penelitian ini bertujuan untuk mengimplementasikan dan menganalisis performa metode Modified Direction Feature (MDF) sebagai ekstraksi ciri arah dan transisi garis, yang dikombinasikan dengan algoritma jaringan syaraf tiruan Learning Vector Quantization (LVQ) untuk klasifikasi karakter Ina Ni Surat. Dataset yang digunakan berjumlah 210 citra tulisan tangan dari 10 penulis berbeda dengan ukuran normalisasi 120 × 120 piksel. Tahapan pra-pengolahan citra meliputi cropping, konversi grayscale, binerisasi, dan thinning kerangka morfologi. Pengujian dilakukan secara sistematis dengan mengevaluasi variasi learning rate (0,001 hingga 0,1) dan rasio pembagian data latih terhadap data uji (90:10 hingga 50:50). Hasil eksperimen menunjukkan bahwa integrasi MDF dan LVQ mampu mengenali aksara Batak Toba dengan akurasi tertinggi sebesar 87% pada rasio data 70:30 dengan learning rate 0,1; 0,07; dan 0,09. Nilai rata-rata akurasi keseluruhan parameter mencapai performa optimal 83,6% pada learning rate 0,07.
Analisis Efektivitas Penggunaan Algoritma Binary Search Dalam Meningkatkan Kecepatan Pencarian Produk Pada Sistem Pemesanan Kue Berbasis Web Untuk UMKM Donutschaca Muhamad Dimas Ramdani Fitrian Syaputra; Dede Sahrul Bahri
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.63

Abstract

Donutschaca is a small and medium enterprise (SME) engaged in cake sales. In carrying out its business processes, Donutschaca still faces several problems, such as manual recording using notebooks, limitations in product searches by customers, and unstructured order queue management on Whatsapp. This causes the service process to be less effective and has the potential to reduce service satisfaction to customers. This study aims to analyze the effectiveness of implementing the Binary Search algorithm in increasing the speed of product searches on the web-based cake ordering system at Donutschaca SME. This research method uses quantitative and qualitative approaches. The qualitative approach is carried out through data collection techniques in the form of observation, interviews, and documentation to identify existing problems, while the quantitative approach is carried out by measuring system performance based on search response time and search result accuracy. The results show that the application of the Binary Search algorithm to the web-based cake ordering system can significantly increase product speed and provide a more structured service process compared to the previous system which still used manual recording on paper or books and Whatsapp. Thus, the system built is proven to be more effective in supporting business operations and improving the quality of service to customers.
Sistem Pendukung Keputusan Promosi Karyawan Berbasis Web Menggunakan Metode Evaluation Based on Distance from Average Solution (EDAS) Pada PT Mulia Djasmine Sentosa Sandi Nawawi; Maulana Fansyuri
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.64

Abstract

Promosi karyawan merupakan bagian strategis dalam manajemen sumber daya manusia yang berpengaruh terhadap motivasi kerja, produktivitas, dan kinerja organisasi. Di PT Mulia Djasmine Sentosa, proses penentuan promosi jabatan sebelumnya masih dilakukan secara konvensional dan manual sehingga memerlukan waktu pengolahan yang lama serta berpotensi menimbulkan subjektivitas dalam penilaian. Penelitian ini bertujuan merancang dan membangun Sistem Pendukung Keputusan (SPK) berbasis website dengan menerapkan metode Evaluation Based on Distance from Average Solution (EDAS) guna mendukung pengambilan keputusan promosi yang objektif dan transparan. Model pengembangan sistem menggunakan Software Development Life Cycle (SDLC) Waterfall dengan integrasi teknologi React JS, Tailwind CSS, PHP backend, dan PostgreSQL. Lima kriteria evaluasi diterapkan, yaitu kinerja (30%), absensi (20%), masa kerja (15%), disiplin kerja (20%), dan pelanggaran (15%, cost). Hasil penelitian membuktikan bahwa perhitungan algoritma sistem memiliki tingkat akurasi komputasi 100% terhadap kalkulasi manual, dengan kandidat A6 memperoleh nilai Appraisal Score tertinggi (AS = 1,00000). Pengujian Black Box menunjukkan 100% fungsi berjalan sesuai spesifikasi pada 37 kasus uji, pengujian White Box memvalidasi 22 jalur logika, serta User Acceptance Testing (UAT) menghasilkan persentase kelayakan sebesar 86,6% (Sangat Layak). Sistem ini terbukti mampu meningkatkan transparansi, akurasi, dan efisiensi dalam pengambilan keputusan promosi karyawan.
Implementation of a Food Image Retrieval System Based on Color Feature Extraction Using Color Moments (CIELab) and Texture Feature Using Local Binary Pattern (LBP) Nurdian Kasim; Adha Mashur Sajiah; L.M. Fid Aksara
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.65

Abstract

The rapid growth of digital image content on social media has positioned food as one of the most frequently shared visual objects. Text-based search is often inadequate for retrieving food images due to their high visual complexity in color, shape, and texture, as variations in ingredients, lighting, and camera angle can produce highly diverse images even within the same food category. This study implements a Content-Based Image Retrieval (CBIR) system for food images by combining Grid Color Moments in the CIELab color space for color feature extraction and Multi-Scale Local Binary Pattern (LBP) for texture feature extraction. The CIELab color space was chosen for its stability under varying lighting conditions, while the multi-scale LBP approach captures texture patterns at several levels of observation. The system processes 3,600 food images across nine classes (Burger, Donut, Ice Cream, French Fries, Klepon, Fried Noodles, Fried Rice, Pizza, Rendang), using an 80:20 stratified split for database and query images. The retrieval process involves image preprocessing, feature extraction, feature vector normalization, similarity computation, and ranking of the most visually similar images. Similarity is computed using Euclidean Distance and Chi-Square Distance, evaluated with Precision@10 and Recall@10 on a Top-10 retrieval scheme. Results show the proposed feature combination improves performance over a baseline method that does not use grid-based and multi-scale feature extraction, with the best result achieved using Chi-Square Distance: Mean Precision@10 of 0.7133 and Mean Recall@10 of 0.0223. These findings confirm that combining color and texture features effectively represents food image characteristics and improves retrieval accuracy, offering a practical alternative to text-based food image search systems.
Rancang Bangun Website Sistem Pendukung Keputusan Pemilihan Program Studi Sarjana Menggunakan Metode Topsis Annisa Yulia Zarti; Hidayati Rusnedy; Kasini Kasini; Arif Mudi Priyatno
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.66

Abstract

Pemilihan program studi merupakan keputusan penting bagi calon mahasiswa karena berkaitan dengan kesesuaian bidang pendidikan dengan minat, bakat, dan kemampuan yang dimiliki. Keterbatasan informasi dan proses pemilihan yang masih subjektif dapat menyebabkan calon mahasiswa mengalami kesulitan dalam menentukan program studi yang tepat. Penelitian ini bertujuan untuk merancang dan membangun website Sistem Pendukung Keputusan (SPK) yang dapat membantu calon mahasiswa dalam memperoleh rekomendasi program studi secara sistematis dan terstruktur. Penelitian menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dengan tiga kriteria, yaitu minat, bakat, dan kemampuan. Data penelitian diperoleh dari 55 responden dengan 19 alternatif program studi sarjana. Tahapan penelitian meliputi analisis kebutuhan, perancangan sistem, perancangan antarmuka, implementasi metode TOPSIS, pengembangan website, dan pengujian sistem. Hasil penelitian berupa website SPK yang mampu mengelola data calon mahasiswa, kriteria, dan alternatif program studi serta melakukan proses perhitungan TOPSIS untuk menghasilkan pemeringkatan dan rekomendasi program studi berdasarkan nilai preferensi. Sistem yang dikembangkan menyediakan informasi rekomendasi secara cepat dan terstruktur sehingga dapat membantu calon mahasiswa dalam menentukan program studi yang sesuai dengan minat, bakat, dan kemampuan
PHP-Based Stationery Sales Information System at Ufaira Printing Sigambal, Labuhanbatu Majidur Rahman Hasibuan; Farida Gultom; Muhammad Bobbi Kurniawan Nasution
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.57

Abstract

Ufaira Printing in Sigambal, Labuhanbatu previously relied on manual records to manage stationery products, inventory information, customers, and sales related administration. This practice created inconsistent stock information, risk of lost records, delayed reporting, and operational decisions based on estimates rather than verified data. This study aimed to design, implement, and functionally test a PHP based stationery sales information system supported by a MySQL database. Development followed the waterfall model through requirements analysis, system and software design, coding, testing, and maintenance planning. Requirements were obtained through observation, literature study, and examination of the store's product and sales activities. The design was documented using a registration flowchart, context diagram, data flow diagram, entity relationship diagram, database tables, and interface plans. The implemented application provides customer registration, role based authentication, product and category administration, shipping expedition data, product catalog pages, and category specific displays for stationery, ink, office automation equipment, files, and furniture. Black box testing covered registration, login, logout, and product management access. All eight nonduplicative cases reported in the thesis produced the expected responses. The findings indicate that the system can organize product information and support more consistent catalog administration. However, the current evidence does not establish complete transaction processing, automatic inventory reconciliation, payment handling, security robustness, usability across users, or long term operational impact. Future work should complete these functions and evaluate data accuracy, task completion, and user experience after deployment.
Design and Development of a PHP-Based Raskin Data Processing System: A Case Study of Kutambaru Village, Munte District, Karo Regency Jonatan Sitorus; Farida Gultom; Sastra Wandi Nduru; M. Syaifuddin
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.58

Abstract

Raskin and social assistance data processing in Kutambaru Village, Munte District, Karo Regency, had relied on manual records that were vulnerable to human error, inconsistent entries, fragmented information, and slow report retrieval. This study aimed to design, implement, and functionally validate an information system developed in PHP that integrates population, household condition, demographic, and assistance data within an administrative environment. The system was developed using the waterfall model through requirements analysis, system design, implementation, testing, deployment preparation, and maintenance planning. Requirements were obtained through observation, document examination, and discussion with a prospective village office user, then translated into flowcharts, data flow and context diagrams, relational database structures, and interface modules. The resulting application provides administrator authentication; population, housing, and hamlet data entry; public program information and beneficiary searches; demographic summaries; an administrative dashboard; population and assistance classification; and printable reports. Functional validation was conducted directly with one prospective end user from the Kutambaru Village Office. Within this limited validation scope, the user confirmed that the documented functions operated in accordance with operational needs. The findings indicate that the application can centralize dispersed records, support more consistent data retrieval, and improve the organization of assistance administration. Nevertheless, the study does not establish targeting accuracy, usability across users, security robustness, or long term administrative impact. Future development should therefore formalize eligibility criteria, implement access controls and audit trails, expand structured testing scenarios, and evaluate processing time, data quality, user satisfaction, and beneficiary targeting outcomes after deployment.
Web-Based Augmented Reality for Disaster Education and Mitigation in Buleleng Regency Supporting Climate Change Action Ketut Sudiasih; Ketut Agustini; I Ketut Andika Pradnyana
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.67

Abstract

Buleleng Regency faces high vulnerability to natural disasters due to its diverse topography and the increasing impacts of climate change, yet public disaster literacy remains low due to conventional and less interactive educational methods. This study aims to develop a web-based Augmented Reality (AR) media to enhance disaster mitigation understanding among the community. The research employs the Research and Development (R&D) method using the Multimedia Development Life Cycle (MDLC) model, encompassing concept, design, material collecting, assembly, testing, and distribution stages. The validity test by BPBD experts showed a very high validity score (1.00) according to Gregory’s formula, while user response tests using the LORI instrument indicated positive feedback on content quality and interaction ease. The application presents an interactive map, 3D disaster simulations (floods, landslides, earthquakes, whirlwinds, tsunamis), and mitigation information. The conclusion indicates that web-based AR is effective as an attractive, accessible educational medium without installation, supporting SDG point 13 regarding climate change action.
Sistem Pendukung Keputusan Penerimaan Siswa Baru Menggunakan Metode Simple Additive Weighting (SAW) BERBASIS WEB (Studi Kasus: SMKS YADIKA 12 Limo Depok) Jilan Fahri Zaenudin; Achmad Nur Sholeh
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.69

Abstract

This study aims to design and implement a web-based Decision Support System (DSS) for new student admissions at SMKS Yadika 12 Limo, Depok, using the Simple Additive Weighting (SAW) method to support the student selection process in a more objective, efficient, accurate, and effective manner compared to the manual selection process. This study applies the Simple Additive Weighting (SAW) method as the decision-making approach based on several criteria, namely students' average report card scores, entrance examination scores, academic achievements, and affiliation. The system was developed using the Rapid Application Development (RAD) methodology, which consists of the planning, system design, construction, and implementation phases. Furthermore, the system was tested using the Black Box Testing method to ensure that all system functions operated according to user requirements. The results of this study indicate that the developed decision support system is capable of automatically performing the calculation, weighting, normalization, and ranking of prospective students based on the SAW method, resulting in a faster, more structured, transparent, and consistent selection process than the previous manual approach. In addition, the testing results demonstrate that all system functions operate properly, enabling the system to assist SMKS Yadika 12 in objectively identifying prospective students who meet the specified criteria while reducing potential errors in the final score calculation process.
Aplikasi Sistem Penunjang Keputusan Penilaian Sales Terbaik Berdasarkan Respon Pengunjung dan Penjualan Dengan Metode SAW (Studi Kasus Showroom Sah Mobilindo Rayhan Aditya Putra; Rahmawati Rahmawati; Ahmad Mutolib
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.70

Abstract

Penilaian sales terbaik pada Showroom Sah Mobilindo sebelumnya masih dilakukan secara manual dan cenderung berfokus pada jumlah penjualan, sehingga aspek kualitas pelayanan yang dirasakan pengunjung belum terintegrasi secara sistematis. Kondisi tersebut menyebabkan penilaian belum sepenuhnya menggambarkan kinerja sales secara menyeluruh dan dapat menyulitkan manajemen ketika harus membandingkan beberapa sales dengan karakteristik kinerja yang berbeda. Penelitian ini bertujuan membangun Sistem Penunjang Keputusan (SPK) berbasis web untuk membantu manajemen menentukan sales terbaik berdasarkan kombinasi data penjualan dan respon pengunjung. Kriteria yang digunakan meliputi jumlah penjualan, pelayanan, keramahan, dan penjelasan produk. Metode Simple Additive Weighting (SAW) diterapkan melalui tahapan penentuan alternatif dan kriteria, pemberian bobot, pembentukan matriks keputusan, normalisasi, pembobotan nilai normalisasi, perhitungan nilai preferensi, dan perangkingan. Pengembangan aplikasi menggunakan model SDLC Waterfall dengan tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Sistem menyediakan fitur pengelolaan data sales, kriteria, penilaian, sinkronisasi respon pengunjung, perhitungan SAW, serta laporan hasil perangkingan yang dapat dicetak dalam format PDF. Pengujian black box dilakukan terhadap 51 skenario pada fungsi utama dan seluruhnya memperoleh status valid, sedangkan pengujian white box pada modul yang diuji menghasilkan Cyclomatic Complexity sebesar 7. Hasil penelitian menunjukkan bahwa aplikasi dapat membantu proses penilaian menjadi lebih terstruktur, transparan, dan berbasis data sebagai pendukung keputusan manajemen.

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