Journal of Advanced Research in Informatics

User Experience Pengembangan Aplikasi E-Prestasi Mahasiswa Berbasis Web Dengan Metode Design Thinking Pada Universitas Wiraraja

2026-06-12T07:41:00+00:00

His study aims to develop a web-based Student E-Achievement application using the Design Thinking method approach. The development process is focused on the main needs of users, namely students, so that the resulting application can improve efficiency, ease of use, and clarity of flow in managing student achievements. The results of this study indicate that the developed Student E-Achievement application is able to meet user needs effectively. This is shown through the results of testing with a questionnaire instrument, where an average value of 4.18 was obtained from a maximum scale of 5. If converted into a percentage, the level of user satisfaction with the application's UI/UX design reaches 83.6%. This value exceeds the threshold set in the hypothesis, which is 80%. Thus, the hypothesis is declared accepted, which means that the application of the Design Thinking method with the help of Canva tools has been proven to have a positive impact on the user experience in using the application.

SPK Rancang Bangun Decision Support System Penilaian Kinerja Guru Menggunakan Metode Simple Additive Weighting (Studi Kasus: SMAN 2 Sumenep)

2026-06-12T07:41:00+00:00

Teacher performance assessment is a crucial factor in improving the quality of education; however, the manual system still used at SMAN 2 Sumenep is considered subjective, slow, and prone to errors. This study aims to design a web-based decision support system to evaluate teacher performance more objectively and efficiently using the Simple Additive Weighting (SAW) method, which was chosen for its simple and effective algorithm in multi-criteria decision-making and its ability to generate clear rankings based on the weight of each criterion. The study employed 28 assessment criteria and involved 88 teachers selected through purposive sampling, with data collected through observation, interviews, and documentation within the school environment. The system receives input from evaluators, performs normalization, calculates preference values, and generates performance rankings. The implementation results showed that the system accelerated the assessment process, increased transparency, reduced bias in decision-making, and improved evaluation accuracy by up to 80%, making it an effective tool for evaluating and enhancing teacher quality at SMAN 2 Sumenep.

RANCANG BANGUN APLIKASI PELAYANAN UJI KOMITE ETIK FAKULTAS KESEHATAN UNIVERSITAS NURUL JADID PAITON BERBASIS WEBSITE

2026-06-12T07:41:00+00:00

Pelayanan uji etik di Fakultas Kesehatan Universitas Nurul Jadid masih dilakukan secara manual sehingga menimbulkan keterlambatan, ketidakteraturan administrasi, dan kurangnya dokumentasi. Hal ini berdampak pada efektivitas layanan dan monitoring penelitian. Penelitian ini bertujuan mengembangkan aplikasi berbasis web untuk meningkatkan efisiensi, ketertiban, dan transparansi dalam layanan uji etik. Sistem dibangun menggunakan metode Rapid Application Development (RAD) melalui tahap perencanaan, desain, konstruksi, dan implementasi dengan framework Laravel. Pendekatan ini menekankan iterasi cepat serta keterlibatan pengguna agar sistem sesuai kebutuhan. Pengujian dilakukan secara internal dan eksternal. Uji blackbox pada 38 skenario menunjukkan semua fitur berfungsi (100%). Uji penerimaan (UAT) melibatkan peneliti, admin, reviewer, dan pimpinan, dengan hasil kepuasan 100% terkait tampilan, kemudahan, dan relevansi sistem. Hasil penelitian membuktikan aplikasi efektif mempercepat proses, meningkatkan ketertiban, serta memperbaiki dokumentasi digital. Selain memberi manfaat praktis, penelitian ini juga berkontribusi akademis melalui penerapan RAD pada sistem informasi layanan. Pengembangan selanjutnya disarankan menyederhanakan antarmuka, menambah integrasi payment gateway, serta melakukan uji lanjutan dengan responden lebih beragam dan uji teknis untuk kestabilan sistem.

APLIKASI ADMINISTRASI DAN MONITORING PERIZINAN SANTRI PONDOK PESANTREN MAMBAUL ULUM BERBASIS WEB DAN QRCODE

2026-06-12T07:41:00+00:00

ABSTRAK - Proses pengelolaan surat di Pondok Pesantren Mambaul Ulum hingga saat ini masih dilakukan secara manual, mulai dari pengajuan, persetujuan, hingga distribusi surat fisik. Metode ini sering menimbulkan hambatan seperti keterlambatan pemrosesan konvensional, kesalahan pencatatan, serta kurangnya efisiensi dalam penyimpanan arsip. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan mengembangkan aplikasi berbasis web yang mampu memfasilitasi administrasi dan pemantauan surat santri secara digital dan terintegrasi. Sistem dirancang agar mempermudah komunikasi antar pihak, khususnya antara admin dan pengasuh, tanpa harus melakukan tatap muka. Pengembangan sistem dilakukan menggunakan pendekatan Waterfall, dimulai dari analisis kebutuhan, desain sistem, implementasi aplikasi, hingga pengujian fungsional. Aplikasi dibangun dengan framework Laravel serta dilengkapi fitur notifikasi otomatis melalui WhatsApp API dan QR Code untuk validasi surat secara digital. Hasil dari pengujian menunjukkan bahwa sistem berjalan dengan baik, memenuhi kebutuhan pengguna, dan memberikan peningkatan yang signifikan terhadap kecepatan serta akurasi layanan. Berdasarkan evaluasi eksternal melalui penyebaran kuesioner kepada pengguna, aplikasi mendapatkan nilai kepuasan sebesar 85,71%, yang termasuk dalam kategori “sangat layak”. Dengan hadirnya sistem ini, proses administrasi surat di Pondok Pesantren Mambaul Ulum menjadi lebih efisien, transparan, dan mudah dilacak secara real-time, sehingga mendukung digitalisasi layanan di lingkungan pesantren .

PERANCANGAN SISTEM UJIAN TPA DAN PENGELOMPOKAN KELAS OTOMATIS SISWA BARU DI SMKN 2 KRAKSAAN DENGAN METODE CLUSTERING

2026-06-12T07:41:00+00:00

The manual process of conducting the Academic Potential Test (TPA) and grouping new student classes at SMKN 2 Kraksaan is inefficient, time-consuming, and prone to subjectivity. This research aims to design and implement an integrated web-based system to automate these processes. The system combines an online TPA exam module with an automatic class grouping module using the Constrained K-Means clustering algorithm. This algorithm was specifically chosen for its ability to incorporate constraints on the number of students per cluster, ensuring a balanced and objective distribution across all classes. The system was developed using the Django framework and the Python programming language. The study concludes that the integrated system successfully improves the efficiency, accuracy, transparency, and fairness of the new student class grouping process at SMKN 2 Kraksaan.

PERANCANGAN SISTEM MONITORING KEAKTIFAN POLSEK PADA VIRALISASI KETAHANAN PANGAN DI LINGKUNGAN POLRESTA BANYUWANGI

2026-06-12T07:41:00+00:00

Penelitian ini membahas perancangan Sistem Monitoring Keaktifan Polsek pada Viralisasi Ketahanan Pangan di Lingkungan Polresta Banyuwangi. Latar belakang penelitian berawal dari sistem monitoring manual yang masih menggunakan Google Form dan Spreadsheeat sehingga belum mampu memberikan pemantauan real-time, validasi otomatis, maupun integrasi data antar Polsek. Penelitian ini bertujuan untuk merancang sistem bebbasis web dengan fitur front-end bagi Polsek dan back-end badi admin HUMAS, dilengkapi dengan dashboard interaktif, notifikasi otomatis, serta rekap harian yang terintegrasi. Metode pengembangan perangkat lunak menggunakan metode Waterfall melalui tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian. Hasil perancangan menghasilkan prototipe sistem dengan berbagai diagram UML (use case, activity, sequence, dan class diagram) serta rancangan antarmuka pengguna yang mudah digunakan. Sistem ini diharapkan mampu meningkatkan efektivitas dan efisiensi pelaporan, memperkuat transparansi, serta mendukung keberhasilan program ketahanan pangan di wilayah Banyuwangi.

PERANCANGAN SISTEM INFORMASI PEMESANAN ALAT KONTRASEPSI PADA DINAS SOSIAL PEMBERDAYAAN PEREMPUAN DAN KELUARGA BERENCANA KABUPATEN BANYUWANGI

2026-06-12T07:41:00+00:00

Program keluarga berencana (KB) merupakan salah satu inisiatif straegis pemerintah yang bertujuan untuk mengendalikan pertumbuhan penduduk serta meningkatkan kualitas hidup masyarakat. Di lingkungan Dinas Sosial Pemberdayaan Perempuan dan Keluarga Berencana (DINSOS-PPKB) Kabupaten Banyuwangi, proses pemesanan alat kontrasepsi masih dilakukan secara manual, sehingga menimbulkan ketidakefisienan, potensi kesalahan pencatatan, serta kendala dalam pendokumentasian data. Penelitian ini bertujuan untuk mengembangkan aplikasi berbasis web guna mempermudah proses pemesanan alat kontrasepsi. Metodologi pengembangan perangkat lunak yang digunakan adalah model Waterfall, dengan ruang lingkup penelitian terbatas pada tahap perancangan sistem. Data penelitian dikumpulkan melalui observasi, wawancara, serta kajian literatur. Hasil penelitian berupa rancangan sistem yang digambarkan melalui Context Diagram serta prototipe antarmuka pengguna yang dikembangkan menggunakan Figma. Rancangan ini diharapkan dapat menjadi kerangka dasar bagi pengembangan sistem informasi di masa mendatang guna meningkatkan efisiensi dan akurasi distribusi alat kontrasepsi di DINSOS-PPKB Kabupaten Banyuwangi.

Kata kunci : Sistem Informasi, Pemesanan, Alat Kontrasepsi, Waterfall.

PERANCANGAN SISTEM INFORMASI DETEKSI DINI PENYAKIT TIDAK MENULAR (OBESITAS) DI DINAS KESEHATAN BANYUWANGI BERBASIS WEB

2026-06-12T07:41:00+00:00

The development of information technology has had a significant impact on the health sector, particularly in efforts to detect non-communicable diseases (NCDs). NCDs such as diabetes mellitus, hypertension, heart disease, and obesity are health problems whose prevalence continues to increase and are often undetected in the early stages. The Banyuwangi Regency Health Office has an ongoing program to implement NCD screening through health facilities, however, observations activities indicate that the data recording process is still carried out manually using spreadsheet applications. This method presents various obstacles, including the difficulty of tracking patient health histories, limitations in data storage, and slow reporting. Therefore, it is necessary to design a web-based information system that can integrate patient examination data management in a more structured, accurate, and fast manner. This study aims to design a web-based NCD early detection information system to support the digitalization of health administration, improve service efficiency, and facilitate data-driven decision-making within the Banyuwangi Health Office.

Perancangan Sistem Pakar Untuk Diagnosis Hiperaktivitas Pada Anak Usia Dini Menggunakan Pemodelan UML dengan Rational Rose

2026-06-12T07:41:00+00:00

Hyperactivity in early childhood is a behavioral disorder that can affect a child's social, emotional, and academic development. Parents' lack of understanding of the symptoms of hyperactivity and the limited availability of experts often hinder early diagnosis. Therefore, this study aims to design an expert system that can assist in the diagnosis of hyperactivity in early childhood. The method used in this study is system design using the Unified Modeling Language (UML) with the assistance of Rational Rose software. System modeling is carried out using several UML diagrams such as Use Case Diagrams, Activity Diagrams, Sequence Diagrams, and Class Diagrams to illustrate the system's structure and workflow. The results of the study are an expert system design that can assist users in conducting consultations based on the child's symptoms and provide information and initial treatment solutions. This system is expected to help parents and related parties in recognizing symptoms of hyperactivity in children at an early age.

OPTIMASI LIGHTGBM BERBASIS IMBALANCED LEARNING UNTUK PREDIKSI RISIKO DEPRESI REMAJA

2026-06-12T07:41:00+00:00

Class imbalance is a major challenge in teen mental-health risk prediction because the minority class is often more important than the majority class. This study optimizes LightGBM using an imbalanced-learning approach to predict teen depression risk from the public Kaggle dataset Social Media Impact on Teen Mental Health. The dataset contains 1,200 adolescent records with demographic, social-media, sleep, academic, physical-activity, stress, anxiety, addiction, and depression-label variables. Only 31 records or 2.58% belong to the positive depression-risk class; therefore, stratified validation, class weighting, and minority-sensitive metrics were used. Several algorithms were compared, including Logistic Regression with SMOTE, Balanced Random Forest, HistGradientBoosting, XGBoost, CatBoost, and LightGBM. LightGBM achieved the strongest average PR-AUC of 0.995 and ROC-AUC of 1.000, while HistGradientBoosting produced the highest average F1-score of 0.969. Permutation importance indicated that stress level, sleep duration, anxiety level, and daily social-media duration were influential variables. The proposed model is promising as an analytical screening prototype, but external validation is required before clinical or educational deployment