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Achmad Fauzan, Achmad
brawijaya university
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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.
IMPLEMENTATION OF THE STEP FUNCTION INTERVENTION AND EXTREME LEARNING MACHINE FOR FORECASTING THE PASSENGER’S AIRPORT IN SORONG Faizin, Nur; Fauzan, Achmad; Primandari, Arum Handini
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.767 KB) | DOI: 10.30598/barekengvol17iss1pp0535-0544

Abstract

This study aims to forecast the number of passengers departing at the domestic departure terminal at Domine Eduard Osok Sorong Airport in 2022 using the Autoregressive Integrated Moving Average (ARIMA) method, ARIMA with Step Function Intervention, and Extreme Learning Machine (ELM). The knowledge of the number of passengers can help the airport prepare facilities. The residual ARIMA model (0,1,0) has no serial correlation (random walk) based on the Ljung-Box test. The MAPE value of the ARIMA model (0,1,0) is 65.47% which means poorly fitted. Because of it, the researchers propose an intervention in the ARIMA model. The RMSE and MAPE ARIMA Intervention ​​(1,0,0) (0,1,0) [12] were 9,027.671 and 35.86%, respectively. Besides, this study also employed the ELM method, which has a MAPE error measurement value of 30.64%. The ELM method has the lowest error measurement results among the three methods. Therefore, the ELM method is suitable for forecasting the number of passengers with predicted values ​​from June to September 2022 as follows: 47985, 37821, 31247, and 33578. On the other hand, intervention in ARIMA can reduce MAPE by 45%.
IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION Bariklana, Muhammad; Fauzan, Achmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0867-0878

Abstract

West Java area is located on the Pacific Circum and Mediterranean Circum routes, this causes West Java area to be an unstable area that is characterized by many active working volcanoes and frequent earthquakes. An analysis of the grouping of earthquake data in West Java Province area is urgently needed. The purpose of this study was to classify areas based on the density of earthquake occurrence areas in West Java using Density-Based Spatial Clustering of Application with Noise (DBSCAN). The population in this study are all earthquake events occurred in 2021. While the sample used in this study is data on the location of the distribution of earthquakes in West Java Province in 2021 taken from the BMKG online data website at dataonline.bmkg.go.id. This research began with nearest-neighbor analysis to see patterns of data distribution. If the data distribution pattern is grouped, then DBSCAN analysis can be continued. The DBSCAN algorithm uses a combination of parameters, namely minimum points (MinPts) and epsilon (Eps). Cluster results are evaluated using the silhouette coefficient. Then, in this study, deeper data exploration was carried out in three ways, namely: (1) Clustering based on the highest silhouette value, (2) clustering by lowering the MinPts value, and (3) clustering based on the smallest upper limit (supremum) value of the silhouette coefficient. The data exploration here aimed to form more clusters while still considering the silhouette coefficient value limits so that there are more areas prone to earthquakes but also maintaining the validity of the results obtained. Next, determine the best cluster results by comparing the cluster results obtained. The best cluster results were obtained at Eps=10000 and MinPts=3 which formed 12 clusters with a silhouette coefficient value of 0.713, which means that the clusters have a strong structure. It is hoped that the information regarding the grouping of areas where earthquakes frequently occur can be used as a form of earthquake disaster mitigation and minimize the impact of losses due to the earthquake.
PROVINCIAL CLUSTERING BASED ON EDUCATION INDICATORS: K-MEDOIDS APPLICATION AND K-MEDOIDS OUTLIER HANDLING Rahmawati, Octavia; Fauzan, Achmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1167-1178

Abstract

K-Medoids is a clustering algorithm that is often used because of its robustness against outliers. In this research, the focus is to cluster provinces based on educational level through several assessment indicators. This is in line with improving the quality of education in point 4 of the National Sustainable Development Goals (SDGs), namely "Quality Education". One of the points of the National Sustainable Development Goals (SDGs) that will still be improved is "Quality Education" which is the 4th point. This is because the success of a country is determined by the quality of good education. The condition of education in Indonesia still overlaps, so it is necessary to do equal distribution of education through clustering. The purpose of this research is to provide the best cluster results according to the Silhouette Index, which then the results of the clustering can be used as a consideration for advancing education in areas that still need attention, through policies or programs that can be developed by educational observers. This research was conducted in 34 provinces in Indonesia. The data source is from Statistical Publications by BPS RI. The method used is K-Medoids, because in this study there were outliers found. In addition to natural K-Medoids, the researcher also wants to compare methods by implementing K-Medoids with outlier handling in the form of imputed mean values and K-Medoids with imputed min-max values. The Silhouette Index results and cluster formation for the three comparators were 0.24 with 2 clusters, 0.26 with 8 clusters and 0.25 with 9 clusters, respectively. What differentiates this research from previous research is the type of outlier handling. Generally, K-Medoids are very indifferent to the existence of outliers. K-medoids is a widely recognized and straightforward clustering approach. Nevertheless, the algorithm's effectiveness might occasionally decline as a result of local outliers and the random selection of beginning medoids
SPATIAL INSIGHTS INTO EARTHQUAKE STRENGTH: A SULAWESI CASE STUDY USING ORDINARY AND ROBUST KRIGING METHODS Humairah, Nanda Lailatul; Fauzan, Achmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1283-1296

Abstract

The data from the Meteorology, Climatology and Geophysics Agency (BMKG) in the last 22 years shows that there have been 230 destructive earthquakes in Indonesia with the highest incidence in 2021. One of the islands frequently hit by earthquakes is Sulawesi Island. According to the 2020 Disaster Risk Index Book (IRBI), 63 of the 81 regencies/cities on Sulawesi Island have a high category earthquake risk index. Based on this, information is needed as a first step in disaster mitigation so that the government can take preventive and anticipatory actions to reduce risks associated with earthquakes and ensure the safety of people on the island of Sulawesi, one of which is obtained through spatial interpolation. In this study, the Kriging methods of interpolation, Ordinary Kriging (OK) and Robust Kriging (RK) were used. From the analysis with OK and RK, the best theoretical semivariogram model is the Exponential model with nugget, sill and range values of ​​respectively 0.40, 0.70, and 6.50 for OK and 0.35, 0.90 and 9.50 for RK. Both methods produced the results that most areas of Sulawesi Island have the potential for shallow earthquakes with a magnitude of around 3.2 to 4.0 on the Richter scale. The potential for earthquakes with high strength is more common around the seas to the east and north of Central Sulawesi Province. The highest estimation results are at the coordinates of 120,029° East Longitude, 1.159° North Latitude, namely in the sea north of South Dampal. According to the results of K-Fold Cross Validation and Leave One Out Cross Validation, the more accurate method for estimating earthquake strength on Sulawesi Island is the RK method because the RMSE and MAPE values ​​in the RK method are smaller than the OK method.
SPATIALLY INFORMED INSIGHTS: MODELING PERCENTAGE POVERTY IN EAST JAVA PROVINCE USING SEM WITH SPATIAL WEIGHT VARIATIONS Maulana, Ashabul Akbar; Fauzan, Achmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1317-1332

Abstract

The East Java Province stands as one of Indonesia's regions grappling with a notably elevated poverty rate, accounting for 11.32% of the populace. A strategic approach employed to comprehend and redress this issue involves the application of spatial analysis, wherein spatial factors are intricately integrated into the modeling and cartographic representation of poverty data. The primary objective of this research is to discern the principal determinants influencing the incidence of poverty in East Java Province, employing data reflective of the population's poverty percentages within the province for the year 2021. The study incorporates six pivotal variables, namely: the population poverty rate, open unemployment rate, labor force participation rate, average years of schooling, adjusted per capita expenditure, and the gross regional domestic product (GRDP), predicated on adjusted expenditure. Diverse weighting schemes are applied based on both distance (1) and contiguity (2). The optimal predictive model utilized is the Spatial Error Model (SEM) incorporating a Distance Band Weighing (DBW) mechanism with a designated maximum distance ( ) of 75000 meters. Outcomes indicate that the variable wielding the most substantial influence on the poverty percentage in East Java Province is the average years of schooling. Specifically, an increase in the pursuit of formal education manifests as a negative correlate to the poverty percentage, implying an inverse relationship. Moreover, the SEM model adheres to the requisite assumptions, encompassing (1) the normality of residuals, (2) homogeneity of residuals, and (3) non-spatial autocorrelation of residuals. Comparative analyses reveal that the SEM model utilizing DBW yields diminished values for MAE, MSE, RMSE, AIC, and MAPE in comparison to its linear regression counterpart. Furthermore, the pseudo- values obtained from the SEM surpass those derived from the linear regression model. Rigorous likelihood ratio tests underscore substantial disparities between the SEM and linear regression models, with the former proving more efficient and markedly enhancing the model's explanatory prowess concerning variations in the dataset.
SPATIAL MODELING OF MATERNAL HEALTH: GEOGRAPHICALLY WEIGHTED POISSON REGRESSION ON MATERNAL MORTALITY FACTORS Yuliana, Alfa; Fauzan, Achmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp557-570

Abstract

Data from the 2021 West Java Provincial Health Profile Report, accessed from the official website of the West Java Provincial Health Office, reveals a significant surge in maternal mortality cases, rising from 165 in 2020 to 460 in 2021. In support of efforts to reduce maternal mortality rates, this study investigates the contributing factors to this phenomenon across various districts in West Java Province. The data used is from the year 2021. This study aims to evaluate the effectiveness of Poisson regression, negative binomial regression, and Geographically Weighted Poisson Regression (GWPR) models in capturing the variability of maternal deaths in the study area for that year. A comprehensive analysis revealed that the distribution of maternal mortality fits the Poisson model, displaying significant spatial heterogeneity. Acknowledging this variability, the GWPR approach using an Adaptive Kernel Bisquare weighting was selected due to its capability to produce localized parameter estimates, which more accurately reflect the specific conditions of each location. The analyzed independent variables include the number of community health centers, coverage of antenatal services at the first (K1) and fourth (K4) visits, management of obstetric complications, and coverage of iron supplementation for pregnant women. Of the five variables, only three showed statistically significant effects; therefore, the study proceeded using these three variables. The results indicate that GWPR provides the best explanation for the variability in maternal mortality rates, with an adjusted R² value of 63.17% and a MAPE of 37.70%.
Co-Authors A Fahira Nur Adhar Arifuddin Adhi Pribadi Agung Dwi Ramadhan, Agung Ahmad, A. Sri Sartika Sufiina Amalina, Nur Dina Anang Kurnia Andreas Wahyu Gunawan Ariyadi, Fandy Akhmad Ayu Wulandari Bagus Sartono 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 Elsa Pudji Setiawati Evicenna Naftuchah Riani Fachry Abda El Rahman Fadliansyah, Azhimy Fauzi, Fatkhurokhman 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 LUKMAN, LUKMAN Marisi Aritonang Marisma, Murni Maulana, Ashabul Akbar Maziyah Mazza Basya Mohamad Irkham Mamungkas Munandar Munandar Nabilah, Muna Faizatun Najlah Nur Faizin Nur Kusmiyati Oktaviani, Nabila Pradana, Wahyu Aji Pratiwi, Erlina Lutfiayu Primandari, Arum Handini Purwanto, Kalis Purwanto, Muhammad Idris Rahmawati, Octavia Ramadhan, Muhammad Rizal Ramadhan, Rizki Fauzian Rantisi, Muhamad Zia Ridho Muktiadi Rinaldi Sjahril, Rinaldi Rosdiana, Siti Roza Azizah Primatika, Roza Azizah Sadat, Fauzan Safira, Nuzulia Nur Santoso, Alfian Saputra, Aditia Shenny Oktoriana Siregar, Ayu Lestari Siregar, Rania Febriyola Supriyono Supriyono Suri, Mulhamatus Latifatus Suria, Muh. Yunus Sutisna, Irwan Syahdony, Farrel Nolan Wahyudin, M. Abyan Widiyanto, Rhendy K P Widyastuti, Galuh Widyawati, Dwi Kartika Wilis Dwi Pangesti Wiranti, Ridha Yanasari, Herlinda Yuliana Watiningrum, Rahayu Yuliana, Alfa Zahidah, RA Ghina