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ANALISIS DAN PERANCANGAN SISTEM INFORMASI MANAJEMEN GEREJA MENGGUNAKAN UML (UNIFED MODELLING LANGUAGE) Abdillah, M. Zakki; Pranata, Ivan Gautama Suprayitno
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4831

Abstract

Penelitian ini membahas tentang sistem perancangan website. Tujuan dari penelitian ini adalah untuk merancang sebuah sistem berbasis web yang dapat mempermudah pengelolaan jadwal kegiatan. Metode yang digunakan dalam penelitian ini meliputi analisis kebutuhan, dan perancangan sistem. Sistem dalam penelitian ini menggunakan Unified Modelling Language (UML) dimana terdapat beberapa tahap yang dapat digunakan untuk membangun sistem website penjadwalan. Selain menggunakan UML, Penenelitian ini menggunakan diagram alir atau biasa disebut flowchart. Adapun dalam penelitian ini menggunakan Entity Relationship diagram (ERD). Hasil penelitian menunjukkan bahwa sistem penjadwalan yang dikembangkan mampu meningkatkan efisiensi dan akurasi dalam pengelolaan jadwal kegiatan gereja. Pengguna, baik dari kalangan pengurus gereja maupun jemaat, memberikan tanggapan positif terkait kemudahan penggunaan dan fungsionalitas yang disediakan oleh sistem ini. Berdasarkan hasil penelitian, perancangan sistem website penjadwalan dapat dilakukan dengan proses penginputan data order sampai dengan laporan.
GEOGRAPHIC INFORMATION SYSTEM (GIS) FOR MAPPING GREENPARK USING LEAFLET JS Abdillah, M. Zakki; Nawangnugraeni, Devi Astri; Yuniarto, Abdul Hakim Prima
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 2 (2021): Volume 5, Nomor 2, Juli 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i2.552

Abstract

Geographical Information System (GIS) is one of systems that functions to process spatial data so that it becomes information that can be understood by ordinary people. Leafletjs is one of the technologies in the development of Geographical Information Systems based online and open source, so the development more dynamic and flexible. This stud present the processing of spatial data into an online-based Geographical Information System. The database used in this development includes Green Space which is divided into 2 classifications, namely Public and Private, and there are 738 total data. With the large amount of data it is possible to process informatively using web-based Geographical Information System using Leafletjs technology. The results of the research, resulting in a percentage of 19.61% data on public greenpark, this results almost the minimum standards for greenpark in an area. So with the web-based information system, people can see the greenpark data in the form of a digital map that easy to understand because it is presented on a polygon map.
A Web-Based Forecasting Approach to Estimating the Number of Low-Income Households Eligible for Social Food Aid Using Holt’s Double Exponential Smoothing Masrur, Mukhamad Masrur; Solikhin, Solikhin; Churum, Muhammad Walid Syahrul; Abdillah, M. Zakki; Putra, Toni Wijanarko Adi
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 11 No 2 (2025): July (In Progress)
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v11i2.4922

Abstract

This work presents a web-based forecasting methodology for predicting the quantity of low-income households qualified for social food assistance utilizing Holt’s Double Exponential Smoothing (HDES) technique. Precise assessment is crucial for governmental bodies and social welfare organizations to guarantee efficient aid distribution and effective resource allocation. The proposed method amalgamates time series forecasting models with a web-based application to deliver real-time predictions and accessibility for decision-makers. Historical data on low-income household statistics were employed to formulate and authenticate the forecasting model. The findings indicate that HDES delivers dependable short-term predictions with low error rates, accurately reflecting patterns in the data. This online application offers policymakers an effective means for monitoring socio-economic trends and enhancing the responsiveness of social assistance initiatives. This research contributes by integrating statistical forecasting with web-based applications to aid social policy decisions.