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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; 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
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.
Improvement of exclusive breastfeeding practices using the web-based mHealth application “Mama Bekping” Dewi, Mariza Mustika; Widyatun, Diah; Abdillah, M. Zakki
JNKI (Jurnal Ners dan Kebidanan Indonesia) (Indonesian Journal of Nursing and Midwifery) Vol. 13 No. 4 (2025)
Publisher : Alma Ata University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/jnki.2025.13(4).569-581

Abstract

Background: Exclusive breastfeeding (EBF) is the practice of giving only breast milk to infants aged 0–6 months without any additional food, except for vitamin supplements and medicines. The prevalence of exclusive breastfeeding among working mothers is significantly lower in urban areas due to inflexible work schedules, early return to work, short maternity leave, fatigue, and lack of support for expressing breast milk at the workplace. The web-based mHealth application “Mama Bekping” was proposed by researchers to provide educational features for working mothers regarding breast care, methods to increase milk supply, proper pumping techniques, and notifications to remind mothers to express breast milk.Objectives: To determine whether the web-based mHealth application “Mama Bekping” can improve knowledge and adherence of working mothers in breast milk pumping.Methods: This study used a quasi-experimental design with two group pretest–posttest. The sample consisted of 80 breastfeeding mother selected using purposive sampling, with a 1-month intervention. Parameters measured were maternal knowledge and adherence to breast milk pumping. Data normality was tested using the Shapiro–Wilk test, while the effect was analyzed using the dependent t-test.Results: The average pumping frequency from week 1 to week 4 was consistent at 14 times per week. However, within 4 weeks, an increase was observed from 12–13 times to 15 times per week. The mean knowledge score before and after intervention showed a 20-point difference, with a minimum difference of 35 points and a maximum difference of 40 points. The dependent t-test revealed a p-value = 0.000 (p < α), indicating a significant effect.Conclusions: The web-based mHealth application “Mama Bekping” effectively increases the knowledge and adherence of working mothers in breast milk pumping, thereby supporting the success of exclusive breastfeeding programs
Design and Validation of LexiPlay: A Multisensory Game-Based Application for Literacy Learning among Children with Dyslexia Tetha Agustina, Menik; Pratama Irwin Talenta; M. Zakki Abdillah
Indonesian Journal of Learning Education and Counseling Vol. 8 No. 2 (2026): March
Publisher : ILIN Institute Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/ijolec.v8i2.3325

Abstract

Children with dyslexia often experience difficulties in reading, spelling, and phonological processing, which may hinder their literacy development. Although various educational applications have been developed to support learning, many existing platforms do not sufficiently integrate multisensory learning principles and game-based features that are essential for supporting children with dyslexia. Therefore, this study aims to develop and validate LexiPlay, a multisensory game-based learning application designed to support literacy development among children with dyslexia, and to examine its validity and practicality as a learning medium. This study employed a Research and Development (R&D) approach based on the Borg and Gall model. Data were collected through observation, interviews, and documentation. The development process involved expert validation, instrument validation, individual trials, and small-group trials with students with dyslexia. The collected data were analyzed using both qualitative and quantitative approaches. The results indicate that the LexiPlay application achieved a “highly valid” classification based on expert evaluation and was considered “highly practical” based on limited field testing. The application integrates multisensory learning elements, gamification features, and a dyslexia-friendly interface, which contribute to improving student engagement and supporting early literacy learning. These findings suggest that LexiPlay has strong potential as an innovative digital learning tool to support literacy development in children with dyslexia and provide important implications for special education, inclusive education practices, and the development of evidence-based digital learning interventions.