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All Journal Media Statistika CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Ilmiah Kursor BAREKENG: Jurnal Ilmu Matematika dan Terapan IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Infomedia ComTech: Computer, Mathematics and Engineering Applications Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Community Journal Jurnal Andalas: Rekayasa dan Penerapan Teknologi JUSIFOR : Jurnal Sistem Informasi dan Informatika El-Mujtama: Jurnal Pengabdian Masyarakat
Alfi Fadliana
Politeknik Elektronika Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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APPLICATION OF MULTISTAGE CLUSTERING FOR MAPPING ECONOMIC POTENTIAL IN EAST JAVA PROVINCE Ronny Susetyoko; Edi Satriyanto; Alfi Fadliana; Muhammad Syahfitra
Jurnal Ilmiah Kursor Vol 12 No 1 (2023)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v12i01.325

Abstract

This study aims to map the economic potential in East Java Province based on GRDP according to business field category. Multistage clustering is a method developed for outlier data and datasets with large variance. Multistage clustering is a combination of Ordering Points to Identify the Clustering Structure (OPTICS) and K-Means. The first stage was grouped using OPTICS. The outlier data resulting from the clustering stage is used as a dataset in the second stage using K-Means. The performance of this method is compared with several other methods, namely: K-Means, DBSCAN – K-Means, Agglomerative, Fuzzy C-Means (FCM), Possibilistic C-Means (PCM), and Fuzzy Possibilistic C-Means (FPCM) based on the characteristics of the Silhouette score and Davies-Bouldin score. Multistage clustering was chosen as the best method with a Silhouette score of 0.442 and Davies-Bouldin score of 0.388. With the Elbow method and the two metrics, the optimum number of clusters is 8 clusters. The results of this mapping method, the City of Surabaya forms a separate cluster which has the highest economic potential in 15 categories of business fields. Next Gresik, Pasuruan, Sidoarjo, and Probolinggo have the second highest economic potential with 10 categories of business fields ranking in the top 3.
Implementasi Algoritma Apriori dalam Penetapan Strategi Penjualan pada Supermarket XYZ Berbasis Streamlit Web App Mustafa, Nadine Aliyah; Susetyoko, Ronny; Fadliana, Alfi; Humaira, Fitrah Maharani
Jurnal Infomedia: Teknik Informatika, Multimedia, dan Jaringan Vol 10, No 1 (2025): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

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

Abstract

Supermarket XYZ merupakan ritel modern berbasis syariah yang memiliki potensi besar dalam pemanfaatan data transaksi untuk mendukung pengambilan keputusan strategis. Namun, hingga saat ini, data transaksi yang tersedia belum dimanfaatkan secara optimal. Penelitian ini bertujuan untuk menerapkan algoritma Apriori guna menemukan pola pembelian produk yang sering terjadi secara bersamaan, serta mengembangkan aplikasi web interaktif berbasis Streamlit untuk menyajikan hasil analisis secara real-time. Data yang digunakan merupakan transaksi penjualan tahun 2023 dari salah satu cabang Supermarket XYZ yang terdiri dari 162.980 record. Penelitian dilakukan melalui tahapan pengumpulan data, data preprocessing, Exploratory Data Analysis (EDA), penerapan algoritma Apriori, serta pembangunan antarmuka aplikasi menggunakan Streamlit. Hasil dari algoritma Apriori menunjukkan adanya 18 aturan asosiasi, dengan aturan terkuat yaitu pembelian Harmony Orange, Harmony Lemon, dan Harmony Melon yang diikuti oleh pembelian Harmony Strawberry. Berdasarkan temuan ini, dua strategi penjualan utama diusulkan: pertama, optimalisasi tata letak produk dengan menyusun produk-produk yang memiliki asosiasi kuat secara berdekatan; dan kedua, penerapan product bundling untuk produk-produk yang sering dibeli bersamaan. Aplikasi Streamlit yang dikembangkan memberikan kemudahan bagi stakeholder untuk mengunggah data, memvisualisasikan pola pembelian, serta mengevaluasi strategi secara interaktif dan efisien. Penelitian ini menunjukkan bahwa pemanfaatan data mining dan aplikasi interaktif mampu mendukung perencanaan strategi penjualan yang lebih efektif dan berbasis data.
Implementasi Aplikasi Chatbot Informasi Pelayanan Kelurahan Keputih, Surabaya Edelani, Renovita; Satriyanto, Edi; Nadhori, Isbat Uzzin; Susetyoko, Ronny; Barakbah, Aliridho; Karlita, Tita; Muliawati, Tri Hadiah; Fadliana, Alfi; Maulana, Wahyu Ikbal; Insani, Fawzan; Fauzi Nafi'Ubadah, Kriza; Haikal Yuniarta Krisgianto, Ricko; Saputra, Muhammad Krisnanda Vilovan; Ridho, Bistiana Syafina; Ni'Ma, Najma Akmalina; Damayanti, Anita; Febrianto, Ardiansyah Indra; Alde, Muhammad Riski
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 2 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i2.6272

Abstract

In today's era of digital transformation, the government, particularly Kelurahan Keputih, is aware of the community's need for information regarding the management of kependudukan and non-kependudukan documents. Given their busy lifestyles, residents require a medium to access information related to these matters. This service information is needed to improve bureaucratic efficiency, accelerate information access, and reduce the burden of manual administrative work. Therefore, researchers have developed an AI-based Intelligent Chatbot application using Large Language Modeling (LLM) technology to assist both employees and residents of Kelurahan Keputih in obtaining information related to the management of kependudukan and non-kependudukan services. The implementation of this Chatbot utilizes the Hugging Face library and the LangChain model, one of the Llama models developed by Meta. This Kelurahan Keputih Service Information Chatbot application is named "BambuBot". This application benefits the residents of Keputih by providing them with interactive, comprehensive, and easily accessible information regarding services for managing kependudukan and non-kependudukan documents, as well as platforms for processing these documents.
PANEL DATA REGRESSION MODEL FOR PREDICTING ECONOMIC GROWTH BEFORE AND DURING THE COVID-19 PANDEMIC IN EAST JAVA PROVINCE Susetyoko, Ronny; Satriyanto, Edi; Fadliana, Alfi; Humaira, Fitrah Maharani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2121-2134

Abstract

Gross Regional Domestic Product (GRDP) is one of the key indicators to determine the economic condition of a region in a certain period. GRDP at constant prices has a positive and significant effect on economic growth . This study aims to predict economic growth in East Java before and during the Covid-19 pandemic based on the structural components of regional revenue and expenditure budget realization using panel data regression with data sources from the Directorate General of Fiscal Balance. The results of this study, the best model is the Fixed Effect Model (FEM) with R-Squared 0.99991 and Adj. R-Squared 0.99987. MSE, MAD and MAPE values on the training data are 338724.9919, 259.7182 and 0.6296 respectively. While the MSE, MAD and MAPE values in the testing data are 1716324.2736, 445.7959 and 1.0692 respectively. At the 95% confidence level, Locally Generated Revenue (LGR), Transfers to Regional and Village Funds (TRVF), and Other Revenue (OR) are not significant in the model or have little effect. But at the 99.9% confidence level, all factors (cross section) have a very significant effect. This can be interpreted that local wisdom, or the characteristics of each region/city has a major contribution to economic growth.
Sistem Informasi Penerimaan Peserta Didik Baru Menggunakan Framework Laravel di MA Nurul Hidayah Bantur Wahyudi, Farid; Fadliana, Alfi; Maisun, Maisun
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 1 No 1 (2022): JUSIFOR - JUNI 2022
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.681 KB) | DOI: 10.33379/jusifor.v1i1.1250

Abstract

MA Nurul Hidayah Bantur merupakan salah satu sekolah yang proses Penerimaan Partisipan Didik Barunya masih mengenakan metode manual, dimana calon siswa diharuskan tiba ke sekolah buat mengantri mendaftar setelah itu mengisi formulir. Buat membetulkan perihal tersebut, hingga diperlukan suatu sistem yang bisa melaksanakan proses PPDB yang tidak terbatas oleh tempat serta waktu. Salah satunya merupakan dengan menggunakan teknologi web. Model pengembangan sistem yang digunakan ialah model waterfall. Dengan Model ini tahapan yang harus dilalui adalah, analisis kebutuhan, desain, implementasi, serta pengujian. Pada tahap terakhir atau pengujian, metode yang digunakan adalah memakai Black Box Model, dengan hasil totalitas bagian aplikasi bisa berjalan dengan mudah. Sistem Data PPDB Online yang telah terbangun diterapkan pada penerimaan partisipan didik baru di MA Nurul Hidayah Bantur.
Co-Authors Agus Dwi Putra Ahmad Saepuddin Alde, Muhammad Riski Ali Ridho Barakbah ANITA DAMAYANTI Arif Ashari Arif Ashari Bella Cornelia Tjiptady Candra Pradhana Choirina, Priska Dekki Widiatmoko Edelani, Renovita Edi Satriyanto Fachrur Rozi Farahdilla Andhika Farid Wahyudi Fauzi Nafi'Ubadah, Kriza Febrianto, Ardiansyah Indra Fitriani, Indah Martha Haikal Yuniarta Krisgianto, Ricko Henny Pramoedyo Henny Pramoedyo Henny Pramoedyo Humaira, Fitrah Maharani Insani, Fawzan Isbat Uzzin Nadhori, Isbat Uzzin Maisun, Maisun Maulana, Wahyu Ikbal Mochamad Sulaiman Muhammad Syahfitra Mustafa, Nadine Aliyah Ni'Ma, Najma Akmalina PANGESTUTI PRIMA DARAJAT Rahma Fitriani Ridho Herasmara Ridho, Bistiana Syafina Rohman, Mojibur Ronny Susetyoko Saputra, Muhammad Krisnanda Vilovan Susetyoko, Ronny Tita Karlita Tri Hadiah Muliawati, Tri Hadiah Wahyudi, Farid