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Jurnal Elektronika dan Teknik Informatika Terapan
Published by Politeknik Kampar
ISSN : 29880866     EISSN : 29880874     DOI : 10.59061
Core Subject : Science,
Computer Science & IT
Bidang Ilmu Komputer dan Informatika Bidang Ilmu Internet Of Thinks Bidang Ilmu Mikrokontroller Bidang Ilmu Animasi dan Multimedia
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 100 Documents
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Design of a Web-Based Accounting Information System to Improve Transparency and Accountability Teguh Hidayat; Muhammad Rivandi; Muhammad Abulwafa; Wilfah Busri Wahyu
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 3 (2026): September: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i3.1512

Abstract

Schools have a responsibility to manage their finances in accordance with applicable financial management principles, such as transparency, accountability, fairness, and efficiency. At Sutera State High School No. 2, financial management involves various funding sources allocated to a number of budget items, thus requiring an integrated and structured management system. To support cash flow control and the provision of accurate and timely financial information, an information system is needed that can generate financial reports in real time and be accessed by authorized decision-makers. This study aims to design a web-based accounting information system that can support the school’s budget management and implementation processes. The method used was the research and development (R&D) approach, employing the waterfall system development model. After the system design and testing phases were completed, the researchers collaborated with school officials to provide training and guidance on using the system. The research results show that the web-based financial information system developed simplifies cash flow management for financial staff and allows the principal to access financial reports directly. Thus, the designed system supports the realization of more transparent, effective, and accountable financial management at Sutera State High School No. 2. In addition to making it easier to prepare financial reports, this system also helps minimize data entry errors and speeds up the process of presenting financial information. It is hoped that this web-based accounting information system will serve as a solution to support more modern, efficient, and sustainable school financial management.
Analisis Pengendalian Kebutuhan Material Reparasi Sistem Flexible Ducting pada Ruang Akomodasi Kapal MT Musi Rikky Leonard Rikky; Ovi Prina Gastriani; Septaviola Dini Utami; Irkham Fatody Suryawan
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 4 No. 1 (2026): Maret: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i1.1514

Abstract

This study analyzes material requirement control for the repair of insulated aluminum flexible ducting in the accommodation spaces of MT Musi. The objectives are to determine the required duct size and length, compare the planned requirement with actual field utilization, and formulate a controlled procurement approach for ship HVAC repair. A case study approach was employed by integrating damage inspection, general arrangement drawings, repair lists, room-dimension measurements, heat-load calculations using the Air Handling Unit Calculation method, duct-diameter selection, and verification of the actual material used. Heat loads were determined based on transmission, solar radiation through windows, lighting, equipment, occupants, and humidity control. The predominant forms of damage included joint leakage, deformation, and duct constriction caused by service age and the ship’s operating environment. The selected material was an 8-inch flexible duct, corresponding to an airflow requirement range of approximately 200–225 mm and the specifications stated in the repair list. The initial planned length across four decks was 34 m. After applying a 10% allowance, the requirement increased to 37.4 m and was rounded up to 38 m. Measurements of the removed ducting indicated an actual requirement of 36 m, resulting in a difference of 2 m or 5.56%. The integration of engineering calculations, route tracing, and field verification produced a more controlled procurement estimate while reducing the risks of material shortages and excessive waste.
Sistem Keputusan Bisnis Untuk Prediksi Penjualan Menggunakan Metode Double Exponential Smoothing dengan Dashboard Analitik Taufiqurrochman; Fifit Alfiah; Ade Setiadi
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 2 (2026): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i2.1515

Abstract

Sales forecasting is one of the important aspects in supporting business decision-making, especially in inventory planning, stock control, and marketing strategy formulation. However, many business operators still plan based on experience, resulting in frequent overstocking or understocking due to inaccurate predictions. This research aims to develop a Business Decision System for sales prediction using the Double Exponential Smoothing (DES) method, equipped with a web-based analytical dashboard to present prediction information visually and support more effective decision-making. The model's performance is evaluated using Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE).
Seleksi Vendor Pemeliharaan Mesin Kapal Tunda Berbasis CBA, AHP, dan Machine Learning Parman; Kusumo Dewo Broto; Miftakhul Ainun Arif; Rofiqoh Nur Rohmah; Maya Revanola Zainida; Moch. Alan Ferdihasan
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 2 (2026): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i2.1516

Abstract

Pemilihan vendor pemeliharaan kapal harus menyeimbangkan efisiensi biaya, kesiapan teknis, dan bukti kinerja. Penelitian ini mengintegrasikan Cost-Benefit Analysis (CBA), Analytic Hierarchy Process (AHP), dan machine learning untuk mengevaluasi vendor pemeliharaan mesin kapal tunda pada perusahaan jasa maritim di Surabaya. Data terdiri atas 119 transaksi tahun 2025 dari 22 vendor dan penilaian lima pakar. CBA menyaring vendor berdasarkan Benefit-Cost Ratio, sedangkan AHP menilai lima kriteria teknis. K-Means diterapkan pada profil frekuensi, nilai negosiasi, efisiensi, bulan aktif, dan proporsi pekerjaan pengadaan. Audit menemukan satu transaksi yang tidak masuk agregasi awal serta empat vendor dengan satu riwayat. Setelah normalisasi AHP, SRUJ memperoleh skor tertinggi 0,244. K-Means menghasilkan empat klaster (silhouette 0,430) dan dikonfirmasi metode Ward (ARI 1,00). SRUJ layak diprioritaskan melalui kontrak bertahap, sementara dominasi vendor perlu dikendalikan dengan pemantauan kinerja dan diversifikasi.
Prediksi Risiko Penyakit Jantung Menggunakan Xgboost dengan Optimasi Hyperparameter Berbasis GridsearchCV Syawaluddin Khadafi Parinduri; Antoni Pribadi; Nurkholis
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 4 No. 1 (2026): Maret: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i1.1517

Abstract

Penyakit jantung tetap menjadi penyebab utama morbiditas dan mortalitas global, mendorong kebutuhan akan metode prediksi risiko yang akurat dan efisien. Penelitian ini bertujuan untuk mengembangkan model prediksi penyakit jantung yang robust menggunakan algoritma XGBoost, dengan penekanan pada peningkatan kinerja melalui optimasi hyperparameter berbasis GridSearchCV. Data yang digunakan berasal dari UCI Machine Learning Repository, mencakup 302 sampel dengan 14 atribut klinis dan demografis pasien. Metode penelitian melibatkan prapemrosesan data, pembagian data secara stratified menjadi set pelatihan (training set, 75%) dan set pengujian (testing set, 25%), serta implementasi model XGBoost. GridSearchCV dengan validasi silang 5-fold diterapkan secara sistematis untuk mencari kombinasi hyperparameter optimal. Hasil optimasi menghasilkan konfigurasi terbaik dengan learning_rate sebesar 0,05, max_depth 3, n_estimators 200, min_child_weight 5, gamma 0,3, subsample 0,8, dan colsample_bytree 1,0, dengan rata-rata akurasi validasi silang (cross-validation) sebesar 84,52%. Evaluasi pada set pengujian menunjukkan akurasi sebesar 77,63%, presisi 78,57%, recall 80,49%, F1-score 79,52%, dan ROC-AUC 0,88. Recall yang tinggi menunjukkan kemampuan model dalam mendeteksi lebih dari 80% kasus positif penyakit jantung, yang kritis dalam konteks diagnosis medis. Kesimpulan dari studi ini adalah bahwa kombinasi XGBoost dengan strategi optimasi hyperparameter menggunakan GridSearchCV merupakan pendekatan yang efektif untuk prediksi risiko penyakit jantung, berpotensi menjadi alat bantu diagnostik yang berharga dalam praktik klinis
Penerapan Metode Simple Additive Weighting pada Pemilihan Siswa Terbaik Ekstrakurikuler Robotik di SD Madinah Slawi Natasya Wahyu Ningsih; Sri Hartati; Rina Arifiani
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 3 (2026): September: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i3.1518

Abstract

Selecting the best students in the robotics extracurricular program at SD Madinah Slawi is an important process for identifying outstanding participants eligible to represent the school in various activities and competitions. The current manual assessment process requires considerable time and may introduce subjectivity into decision-making. This study aims to implement the Simple Additive Weighting (SAW) method in a decision support system to assist the selection process objectively, efficiently, and accurately. A quantitative research method was employed, with data collected through observation, interviews, and documentation. The data comprised 228 robotics extracurricular students assessed using five criteria: knowledge score, skill score, activeness, attendance, and attitude. Data processing included determining criterion weights, constructing the decision matrix, normalizing the data, and calculating preference values using the SAW method. The results showed that SAW successfully generated objective student rankings based on the preference values of each alternative. The study focused on selecting the top 10 students. The highest preference value was 0.88, while the lowest was 0.81. Implementing the SAW method assisted extracurricular supervisors in decision-making, improved assessment efficiency, and produced more objective, transparent, and consistent decisions than the manual assessment process.
Monitoring Ketinggian Air Sungai menggunakan Regresi Linear Sederhana Berbasis Internet of Things (IoT) di Sungai Gung Desa Kendalserut Firman Ardy Prasetyo; Fahmy Ferdian Dalimarta; Sonhaji Sonhaji
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 3 (2026): September: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i3.1519

Abstract

Monitoring the water level of the Gung River in Kendalserut Village is still conducted manually using wooden poles, making the process less effective, requiring human involvement, and potentially producing inaccurate data. This condition makes it difficult for the community to obtain timely information, particularly when increasing discharge may cause flooding and damage agricultural land. This study aims to design and implement an Internet of Things (IoT)-based water level monitoring system using Simple Linear Regression to analyze the relationship between water level and river discharge. A quantitative approach was employed through observation, interviews, documentation, and data collection using an ultrasonic sensor. The system was developed with an ESP32 microcontroller with an ultrasonic sensor to measure water levels. Data were transmitted via the internet and processed using Simple Linear Regression, with water level as the independent variable and river discharge as the dependent variable. Monitoring results were delivered through WhatsApp notifications. The results show that the system can automatically monitor river water levels in real time and provide more accurate discharge information. The system is expected to support effective flood risk mitigation.
Klasifikasi Tingkat Kematangan Biji Kopi Arabika Berdasarkan Citra Menggunakan Convolutional Neural Network Berbasis Website Azuar khalik; Khasnur Hidjah; Tomi tri sujaka
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 3 (2026): September: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i3.1521

Abstract

The post-harvest quality standardization process for Arabica coffee beans is currently dominated by manual visual inspection, which is subjective, inconsistent, and prone to errors caused by eye fatigue. This study aims to develop an automated classification system based on Computer Vision to categorize coffee bean ripeness into three levels: unripe, semi-ripe, and ripe. The research employs the CRISP-DM framework using a primary dataset of 673 images obtained from a plantation in Sembalun, East Lombok. The data was split into 80% for training and 20% for validation. The model utilized is MobileNetV3Large, implemented via Transfer Learning. This model was integrated into a responsive web application using HTML, CSS, and JavaScript for the frontend, and FastAPI for the backend to facilitate real-time prediction. Test results demonstrated an accuracy of 99.25%—surpassing the initial 85% target—with an inference time of less than 2 seconds per image. Furthermore, User Acceptance Testing yielded a score of 94%, placing the system in the "Highly Suitable" category. This system is expected to serve as a practical solution for enhancing the objectivity, reliability, and efficiency of coffee bean quality control.
Rancang Bangun AI Assistant Berbasis Retrieval-Augmented Generation (RAG) untuk Layanan Informasi Akademik Fakultas Inkreswari Retno Hardini; Sabo Hermawan; Rayi Dwipanilih
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 3 (2026): September: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i3.1525

Abstract

Perkembangan Generative Artificial Intelligence (Generative AI) memberikan peluang untuk meningkatkan akses terhadap informasi akademik melalui interaksi berbasis bahasa alami. Namun, penggunaan Large Language Model (LLM) secara langsung memiliki keterbatasan karena model dapat menghasilkan informasi yang tidak sesuai dengan sumber pengetahuan yang digunakan. Penelitian ini bertujuan untuk merancang dan membangun FEB AI Assistant sebagai layanan informasi akademik berbasis web pada Fakultas Ekonomi Universitas Negeri Jakarta (FEB UNJ) dengan menerapkan pendekatan Retrieval-Augmented Generation (RAG). Metode penelitian meliputi analisis kebutuhan, perancangan sistem, pembangunan knowledge base, implementasi RAG, pengembangan aplikasi, dan pengujian sistem. FEB AI Assistant dikembangkan menggunakan Laravel, PHP, MySQL, REST API, dan Gemini API sebagai LLM. Knowledge base dibangun dari dokumen akademik yang diproses menjadi document chunk untuk digunakan dalam proses retrieval sebelum menghasilkan respons. Hasil implementasi menunjukkan bahwa sistem dapat menjalankan fungsi utama mulai dari pengelolaan dokumen, pemrosesan knowledge base, retrieval informasi, generasi respons melalui Gemini API, hingga penyajian jawaban kepada pengguna. Pengujian fungsional terhadap sembilan skenario menunjukkan seluruh fungsi berhasil dijalankan dengan tingkat keberhasilan 100%. Pengujian respons juga menunjukkan bahwa sistem mampu menghasilkan jawaban yang relevan dan mengacu pada informasi yang tersedia pada knowledge base. Hasil penelitian menunjukkan bahwa pendekatan RAG dapat diterapkan untuk mendukung layanan informasi akademik yang lebih interaktif dan berbasis bahasa alami pada tingkat fakultas.
Implementasi Algoritma Fp-Growth Dalam Analisis Penerimaan Mahasiswa Baru Baiq Anna Naura Nazifa; Galih Hendro Martono
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 2 (2026): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i2.1526

Abstract

Competition in higher education encourages universities to use historical admissions data as a basis for more focused recruitment decisions. This study implements the Frequent Pattern Growth (FP-Growth) algorithm to identify frequent itemsets and association rules in new student admissions data at Universitas Bumigora. The analysis used 4,858 applicant records with accepted status from the 2022-2024 admission periods and followed the CRISP-DM framework through the evaluation stage. Four combinations of minimum support and minimum confidence were tested: 5%/50%, 10%/60%, 15%/70%, and 20%/80%. The 5%/50% scenario produced the richest set of patterns, with 1,251 frequent itemsets and 4,763 association rules, while stricter thresholds substantially reduced the number of patterns. The data were strongly concentrated on the Mandiri admission pathway and accepted status. A more informative association linked applicants from vocational high schools (SMK) with the itemset {Mandiri pathway, accepted status, year 2023}, yielding confidence of 1.000 and lift of 1.624. These findings indicate that FP-Growth can support admissions evaluation by revealing segments that are difficult to see from descriptive summaries alone. The results can inform targeted outreach to vocational schools, evaluation of the Mandiri pathway, and enrichment of admissions attributes for future analysis.

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