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All Journal Jurnal Gamma EKSAKTA: Journal of Sciences and Data Analysis JURNAL SAINS PERTANIAN EQUATOR Jurnal Ekonomi : Journal of Economic Paradigma Geoplanning : Journal of Geomatics and Planning Pro Bisnis Jurnal Dinamika Pengabdian (JDP) JOIV : International Journal on Informatics Visualization Knowledge Engineering and Data Science BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Teknologi Sistem Informasi dan Aplikasi JSiI (Jurnal Sistem Informasi) JSAI (Journal Scientific and Applied Informatics) Jurnal Teknologi Informatika dan Komputer Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Enthusiastic : International Journal of Applied Statistics and Data Science Proceedings Series on Physical & Formal Sciences Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Blend Sains Jurnal Teknik Jurnal Informatika dan Teknologi Pendidikan Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) KOLONI Innovative: Journal Of Social Science Research Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat STATISTIKA Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Medic Nutricia : Jurnal Ilmu Kesehatan Jurnal Ilmu Komunikasi dan Sosial Politik Jurnal Kajian Islam dan Sosial Keagamaan Journal of Intelligent Systems and Information Technology Indonesian Journal of Islamic Law (IJIL) IERA, Islamic Education and Research Academy Jurnal Sains dan Teknologi Kesehatan Emerging Statistics and Data Science Journal Jurnal Hukum dan Ekonomi Syariah
Achmad Fauzan, Achmad
brawijaya university
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Spatial Analysis of Earthquake Intensity Distribution in Java Using the Interpolation Method (2022–2024) Cahyani, Laras Niken Dwi; Pradana, Wahyu Aji; Ariyadi, Fandy Akhmad; Fauzan, Achmad; Primatika, Roza Azizah
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 5 Issue 1, April 2025
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol5.iss1.art5

Abstract

Java, situated in the Pacific Ring of Fire, is one of the most seismically active regions in the world, with frequent earthquakes posing significant risks to its dense population and critical infrastructure. This study aimed to analyze the spatial distribution and intensity patterns of earthquakes in Java from 2022 to 2024 using data from the Meteorology, Climatology, and Geophysics Agency (Badan Meteorologi, Klimatologi, dan Geofisika, BMKG). Spatial interpolation techniques—inverse distance weighted (IDW), nearest neighbor, and Thiessen polygon—were applied to evaluate their effectiveness in mapping earthquake intensity patterns. The dataset included the earthquake magnitude, location, and occurrence time, with performance evaluated using mean absolute percentage error (MAPE) and mean absolute error (MAE). Results showed that the nearest neighbor method achieved the highest accuracy (MAPE of 12.27%, MAE of 0.37), followed by IDW, while the Thiessen polygon method demonstrated limited suitability for continuous seismic phenomena. These findings underscore the importance of selecting appropriate interpolation methods for seismic risk mapping, providing actionable insights for disaster preparedness and urban planning in Java.
TRANSFORMER-BASED OPTICAL CHARACTER RECOGNITION APPROACH FOR IDENTIFYING MOTOR VEHICLES WITH OVERDUE TAXES Fazira, Nabila Dwi; Fauzan, Achmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp1597-1608

Abstract

The high growth in the number of motorized vehicles in Indonesia has given rise to special attention in managing traffic administration, especially in relation to vehicle taxes. To present innovative solutions in vehicle tax administration, this research was conducted to detect the five-year tax status of motor vehicles in Indonesia using the Transformer Optical Character Recognition (TrOCR) model. The aim of this research is to evaluate the performance of the TrOCR model in recognizing text on motor vehicle number plates in Indonesia and classifying number plates that have and have not paid tax. The data used is primary data in the form of images of motor vehicle number plates taken around the Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia, using a purposive sampling with constraints on the representation of each class. Although the data collection was limited to this location, Indonesian vehicle plates follow a standardized format, with regional differences primarily in the prefix letters. Additionally, the university attracts students from various regions who often use vehicles registered in their home provinces. Consequently, the collected dataset reflects a diverse range of number plates, making it a reasonable representation of motor vehicle plates across Indonesia. The research results show that the TrOCR model succeeded in achieving a Character Error Rate (CER) value of 2.9% with a data configuration of 90% for training and 10% for testing, and using 8 epochs. Evaluation of model performance indicates that overall text detection is very effective in classifying the five-year tax status of motor vehicles. Although there are some prediction errors, the overall performance of the model can be considered good and is able to provide reliable information regarding the five-yearly vehicle tax status
Analyzing Multiclass Land Cover and Spatial Point Patterns on Sentinel-2 Imagery Using Machine Learning and Deep Learning Nabilah, Muna Faizatun; Fauzan, Achmad
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 2 (2025): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i2.29683

Abstract

Land cover conversion around educational centers, such as universities, is an inevitable consequence of increasing urban activity. The development of boarding houses, commercial zones, and other infrastructure often follows the expansion of academic institutions. To support sustainable spatial planning, early identification of land cover and analysis of spatial distribution patterns are crucial for zoning regulation and infrastructure management. This study focuses on classifying land cover and analyzing spatial patterns around Universitas Riau (UNRI) using Sentinel-2 satellite imagery with a 10-meter spatial resolution. The research applied a supervised classification approach, utilizing spectral bands—specifically Near-Infrared (NIR) and Short-Wave Infrared (SWIR)—as explanatory variables. The response variable was land cover, categorized into vegetation, non-vegetation, and water. Three machine learning models—Support Vector Machine (SVM), Naïve Bayes (NB), and Backpropagation Neural Network (BNN)—were compared based on overall accuracy and the Kappa coefficient. The models were trained and tested using a stratified 80-20 data split to ensure a balanced evaluation. Among the models, SVM demonstrated the highest accuracy, achieving an average of 91.15% in 2022 and 83.90% in 2023 with minimal variance, confirming its reliability for land cover classification. Spatially, non-vegetation areas were concentrated near major access routes and facilities, highlighting the influence of infrastructure development on land conversion. The study also identified potential growth zones within a 3–5 km radius from UNRI, emphasizing the need for anticipatory and sustainable land use policies. These findings support the formulation of spatial strategies aligned with Law No. 26 of 2007 on Spatial Planning and offer valuable insights for guiding urban development around academic hubs.
Penerapan Zachman Framework pada Perancangan Architecture Sistem Informasi Pengelolaan Obat Dinas Kesehatan Purbalingga Annisa Dwi Risqi; Fauzan, Achmad; Pinandita, Tito; Wibowo, Feri
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.8491

Abstract

The application of the right information system architecture framework is very important in ensuring efficiency and consistency in data management, especially in drug management information systems in the government sector. This study aims to evaluate the maturity level of the application of the Zachman Framework in the design of the Drug Management Information System at the Purbalingga Health Office using the Capability Maturity Model (CMM) approach. The evaluation was conducted on six main perspectives of Zachman: Planner, Owner, Designer, Builder, Subcontractor, and Functioning System. The measurement results showed the following maturity percentage values: Planner (60%), Owner (40%), Designer (60%), Builder (40%), Subcontractor (20%), and Functioning System (60%), with an average maturity level of 46.67% or equivalent to Level 2 (Repeatable). These results indicate that the design process already has a basic pattern but has not been thoroughly documented or standardized. The main recommendation in this research is to improve technical documentation, HR training, and integration between architecture perspectives to achieve a higher level of maturity.
Prediksi Nilai Ekspor Non Migas Di Jawa Barat Menggunakan Metode Seasonal Auto Regresif Integrated Moving Average (SARIMA) Agung Dwi Ramadhan, Agung; Fauzan, Achmad
Emerging Statistics and Data Science Journal Vol. 1 No. 1 (2023): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol1.iss.1.art2

Abstract

Ekspor merupakan kegiatan yang memiliki peran penting bagi perekonomian di Jawa Barat. Diyakini bahwa Provinsi Jawa Barat memberikan sumbangan terbesar terhadap ekspor nasional pada januari – juni 2021. Semakin tinggi kinerja ekspor, semakin besar pula dampak positifnya. Oleh karena itu Penelitian ini bertujuan untuk melihat jumlah nilai ekspor non migas kedepan nya, dengan menggunakan data perkembangan nilai ekspor non migas di Provinsi Jawa Barat yang di dapat melalui situs badan pusat statistik Provinsi Jawa Barat. Data yang digunakan merupakan data time series atau deret waktu beberapa periode kedepan. Metode yang digunakan adalah metode Seasonal Auto Regressive Integrated Moving Average (SARIMA). Berdasarkan analisis yang sudah dilakukan hanya ada 1 model SARIMA yang signifikan yaitu model SARIMA (2,1,0)(0,1,0) dengan niali AIC sebesar 1177.34 dan nilai MAPE sebesar 7.098304. Dengan menggunakan model SARIMA (2,1,0)(0,1,0) juga dilakukan prediksi nilai ekspor non migas di Provinsi Jawa Barat pada tahun 2022 dari bulan Januari hingga Desember didapatkan hasil bahwa pada tahun 2022 nilai ekspor non migas di Provinsi Jawa Barat berkisar pada 40.244 juta dollar .
Pengelompokan Kabupaten/Kota di Jawa Barat Berdasarkan Tingkat Kesejahteraan Masyarakat Menggunakan K-Means Cluster: Pengelompokan Kabupaten/Kota di Jawa Barat Berdasarkan Tingkat Kesejahteraan Masyarakat Menggunakan K-Means Cluster Oktaviani, Nabila; Fauzan, Achmad; Widyastuti, Galuh
Emerging Statistics and Data Science Journal Vol. 2 No. 2 (2024): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol2.iss.2.art22

Abstract

Tingkat kesejahteraan suatu bangsa dikatakan berhasil jika kehidupan masyarakatnya terpenuhi dengan baik. Penelitian ini bertujuan untuk mengidentifikasi tingkat kesejahteraan masyarakat di Provinsi Jawa Barat dengan metode pengelompokkan K-Means berdasarkan indikator kesejahteraan rakyat. Hasil pengelompokkan menunjukkan adanya dua klaster tingkat kesejahteraan: tinggi dan rendah, serta penggunaan tiga klaster untuk hasil yang lebih rinci. Kabupaten/kota di Jawa Barat dibagi menjadi klaster pertama dengan kesejahteraan tinggi (3 kabupaten/kota), klaster kedua dengan tingkat kesejahteraan sedang (18 kabupaten/kota), dan klaster ketiga dengan kesejahteraan rendah (6 kabupaten/kota). Penggunaan tiga klaster lebih baik karena memberikan pemahaman yang lebih terperinci mengenai distribusi kesejahteraan masyarakat. Hasil klasifikasi menunjukkan terdapat ketimpangan kesejahteraan antar wilayah di Jawa Barat, memungkinkan identifikasi target pembangunan yang lebih efektif untuk mencapai tujuan pembangunan yang inklusif dan berkelanjutan.
Analisis Perbandingan Etos Kerja Pedagang Toko Kelontong Madura dengan Toko Kelontong Pribumi Lokal di Kecamatan Prajurit Kulon dalam Perspektif Ekonomi Syariah Fauzan, Achmad; Basya, Maziyah Mazza
UQUDUNA: Jurnal Hukum dan Ekonomi Syariah Vol 2 No 02 (2024): Desember
Publisher : STAI Al-Mujtama Pamekasan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk menganalisis perbandingan etos kerja pedagang toko kelontong Madura dan pedagang toko kelontong pribumi lokal di Kecamatan Prajurit Kulon dalam perspektif ekonomi syariah. Pendekatan yang digunakan adalah kualitatif deskriptif dengan metode studi kasus, di mana data primer diperoleh melalui wawancara mendalam dan observasi langsung terhadap 10 pedagang. Hasil penelitian menunjukkan bahwa pedagang Madura cenderung memiliki etos kerja yang lebih kuat, dengan jam operasional 24 jam, serta penerapan prinsip kejujuran, kerja keras, dan tanggung jawab sosial yang tinggi. Sementara itu, pedagang pribumi lokal lebih mengutamakan keseimbangan antara pekerjaan dan waktu istirahat, namun tetap menerapkan nilai-nilai kejujuran dalam usaha mereka. Implikasi dari penelitian ini menunjukkan bahwa etos kerja yang kuat, didukung oleh penerapan prinsip syariah, memberikan dampak positif terhadap daya saing dan loyalitas pelanggan, terutama di tengah persaingan dengan toko modern. Kata-kata kunci : Etos Kerja, Toko Kelontong Madura, Ekonomi Syariah
Pengembangan Website E-Commerce Penjualan Laptop Second dengan Fitur Multi-Payment pada HR Computer Cilacap Safira, Nuzulia Nur; Supriyono, Supriyono; Wibowo, Feri; Fauzan, Achmad
Blend Sains Jurnal Teknik Vol. 4 No. 1 (2025): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v4i1.1002

Abstract

Transformasi digital dan pesatnya pertumbuhan e-commerce telah mengubah pola interaksi antara konsumen dan pelaku bisnis, termasuk dalam sektor penjualan laptop second. HR Computer Cilacap, yang fokus pada penjualan laptop second dan sparepart, masih menjalankan operasional secara konvensional, seperti pencatatan stok, proses transaksi, dan penjualan yang hanya bergantung pada platform media sosial seperti WhatsApp dan Instagram. Kondisi ini menyebabkan sejumlah hambatan, termasuk kesulitan pelanggan dalam menentukan laptop yang sesuai kebutuhan akibat kurangnya informasi yang tersedia, serta tidak adanya sistem otomatis untuk proses verifikasi pembayaran, yang berdampak pada layanan, sehingga pelayanan menjadi kurang maksimal. Untuk menjawab permasalahan tersebut, dikembangkan sistem e-commerce berbasis website dengan pendekatan metode Waterfall. Frontend pada sistem ini dibangun menggunakan Next.js untuk memberikan antarmuka pengguna yang responsif dan mudah diakses melalui berbagai perangkat. Sementara itu, backend dikembangkan menggunakan Node.js yang terintegrasi dengan Prisma ORM untuk pengelolaan database PostgreSQL. Untuk sistem pembayaran, diimplementasikan integrasi Midtrans sebagai solusi multi-payment yang mendukung berbagai metode pembayaran seperti transfer bank, e-wallet, dan QRIS. Manajemen file media juga ditangani oleh Cloudinary, sedangkan pengelolaan database difasilitasi melalui Neon Console. Dengan adanya sistem ini, pelanggan dapat menelusuri katalog produk, melakukan pemesanan, dan menyelesaikan pembayaran secara mandiri dan real-time melalui platform digital. Berdasarkan hasil pengujian fungsional, seluruh fitur utama berjalan dengan baik (100% berhasil pada 9 skenario uji), serta peningkatan dalam proses transaksi dengan fitur multi-payment dibandingkan metode konvensional. Sistem ini diharapkan mampu meningkatkan cakupan pasar, mempercepat alur transaksi, dan memberikan pengalaman belanja yang lebih aman dan nyaman sesuai perkembangan teknologi saat ini.
Pengembangan Platform Layanan Fotografer Online Terintegrasi Payment Gateway Menggunakan Framework Laravel Santoso, Alfian; Supriyono, Supriyono; Muktiadi, Ridho; Fauzan, Achmad
Blend Sains Jurnal Teknik Vol. 4 No. 1 (2025): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v4i1.1032

Abstract

Fokus penelitian ini adalah untuk membuat sistem yang dapat digunakan untuk memesan jasa fotografi melalui internet yang terhubung ke layanan pembayaran digital Midtrans untuk Studio Maskhagraphy. Pelanggan dapat lebih mudah melakukan pemesanan dengan sistem ini, dan transaksi dilakukan dengan aman dan cepat. Analisis kebutuhan, desain, implementasi, dan pengujian adalah bagian dari metode pengembangan model waterfall. Hasil pengujian menunjukkan bahwa semua aspek yang di uji dari 8 skenario fungsi utama berhasil lulus dalam pengujian black box, yang mencakup registrasi, login, pemesanan layanan, serta pembayaran multi-metode. Hal ini membuktikan bahwa sistem mampu memenuhi harapan pengguna dalam hal kemudahan pemesanan, keamanan pembayaran, dan efisiensi operasional studio. Selain itu, penelitian ini turut berkontribusi dalam mendorong pemanfaatan teknologi digital di bidang layanan fotografi.
Strategi Kepala Madrasah Untuk Mengembangkan Kompetensi Guru Di MA. Mambaul Hikmah Rubaru Sumenep Madura Fauzan, Achmad; Zakariyah, Zakariyah; Ashari, Ashari
Jurnal Kajian Islam dan Sosial Keagamaan Vol. 3 No. 1 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The research results show that: 1). There are various strategies for school principals to develop teacher competence in MA. Mambaul Hikmah Rubaru Sumenep Madura, in order to develop teacher competence to be able to realize the vision and mission of the institution, among the strategies that have been carried out are as follows; Motivating teachers to create and innovate, Holding workshops or workshops, Delegating Teachers to Participate in Education Training and Seminars, Motivating Teachers to Make Scientific Papers, Holding Comparative Study Programs, Giving Awards, Implementing Discipline of Teachers, Employees, and Students, Conducting Educational Supervision, Madrasas (Stake Holder) Through exemplary, Improving the Quality of Facilities and Infrastructure, providing opportunities for advanced stages. 2). The driving and inhibiting factors faced by madrasah heads in developing teacher competence in MA. Mambaul Hikmah Rubaru Sumenep Madura, among others; driving factor; encouragement and support from the head, factors from teachers, facilities and infrastructure factors, students or students. Inhibiting factors; Lack of motivation from within the teacher himself, The economy is not yet stable and still low, Lack of motivation or encouragement from parents.
Co-Authors Abid Yanuar Badharudin Adhar Arifuddin Adhi Pribadi Agung Dwi Ramadhan, Agung Ahmad, A. Sri Sartika Sufiina Amalina, Nur Dina Anang Kurnia Andreas Wahyu Gunawan Annisa Dwi Risqi Ariyadi, Fandy Akhmad Ashari Ashari Ayu Wulandari Bariklana, Muhammad Buana, Arya Galih Cahyani, Laras Niken Dwi Christopher Yudha Erlangga Dafrian, Rafli Danang Bagus Wibowo Dany Hilmanto Daryono Daryono, Daryono Denta, Anggeria Dewi, Sawitri Diana Apriyanti, Diana Dwitra Gusti Alriscki Efi Miftah Faridli, Efi Miftah Elsa Pudji Setiawati Evicenna Naftuchah Riani, Evicenna Naftuchah Fachry Abda El Rahman Faza Izzatul Muttaqin Fazira, Nabila Dwi Febrianti, Nur Qadri Feri Wibowo Fitri Amalia Fitri Yanti Ghefira Nurhaliza, Celine Hafidz, Syauqi Jauzza Hakim, Raden Bagus Fajriya Humairah, Nanda Lailatul Lahan Adi Purwanto Marisi Aritonang Marisma, Murni Maulana, Ashabul Akbar Maziyah Mazza Basya Mohamad Irkham Mamungkas Munandar Munandar Nabilah, Muna Faizatun Najlah Nugraha, Agasta Pratama Nur Faizin Nur Kusmiyati Nursidah, Dea Ratu Oktaviani, Nabila Pradana, Wahyu Aji Pratama, Arizqi Ihsan Pratiwi, Erlina Lutfiayu Primandari, Arum Handini Purwanto, Kalis Purwanto, Muhammad Idris Putri, Sabrina Marta Rahmawati, Octavia Ramadhan, Muhammad Rizal Ramadhan, Rizki Fauzian Ridho Muktiadi Rinaldi Sjahril, Rinaldi Roza Azizah Primatika, Roza Azizah Sadat, Fauzan Safira, Nuzulia Nur Saini, Mukhamat Santoso, Alfian Setya Adhiwibawa, Marcelinus Alfafisurya Shenny Oktoriana Siregar, Ayu Lestari Siregar, Rania Febriyola Sirojudin, Didin  Supriyono Supriyono Suri, Mulhamatus Latifatus Suria, Muh. Yunus Sutisna, Irwan Syahdony, Farrel Nolan Tito Pinandita Wahyudin, M. Abyan Widyastuti, Galuh Widyawati, Dwi Kartika Wilis Dwi Pangesti Wiranti, Ridha Yanasari, Herlinda Yuliana Watiningrum, Rahayu Yuliana, Alfa Zahidah, RA Ghina Zakariyah Zakariyah