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All Journal Journal of Information Systems Engineering and Business Intelligence Journal of Dedicators Community Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Abdi Insani Jurnal Teknologi Informasi dan Komunikasi INSERT: Information System and Emerging Technology Journal Joutica : Journal of Informatic Unisla Biner : Jurnal Ilmiah Informatika dan Komputer Integrasi : Jurnal Ilmiah Teknik Industri LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics
Sabilla, Alzena Dona
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Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences

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E-SCM SEBAGAI STRATEGI PENGENDALIAN PERSEDIAAN DI INDUSTRI FURNITURE Sabilla, Alzena Dona; mahendra, Danang; Azzat, Noor Nailie; Ananta, Yoga Sofian
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 16 No. 1 (2025): MARET
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/rjqa0p56

Abstract

Digitalization and globalization have a big impact on the furniture industry, especially on the MSME scale. A big challenge in managing product inventory efficiently. Mismanagement of product stock can lead to high operational costs and decreased customer satisfaction. This research aims to develop a web-based Electronic Suppy Chain Management (E-SCM) application to improve inventory control in Furniture MSMEs. This application is equipped with main features such as managing products, managing incoming and outgoing stock items, and a dashboard tang displaying stock movements in real time. Case studies were conducted on 10 furniture MSMEs in Jepara, using sales and inventory data for 12 months. Data analysis shows that the application of the E-SCM application increases the accuracy of stock management, reduces the amount of dead stock and accelerates the process of making business decisions. This research is expected to be a reference for E-SCM-based technology development for other MSME sectors.
SISTEM INFORMASI DIAGNOSA STUNTING BALITA MENGGUNAKAN METODE FORWARD CHAINING PADA DP3AP2KB JEPARA Huda, Muhammad Nidhomul; Sabilla, Alzena Dona; Minardi, Joko
Biner : Jurnal Ilmiah Informatika dan Komputer Vol 3 No 1 (2024): Januari
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/biner.v3i1.6625

Abstract

Sistem informasi menjadi salah satu hal yang penting bagi suatu instansi dalam pengelolaan data, khususnya dalam hal ini informasi perkembangan balita pada DP3AP2KB Jepara. Stunting merupakan suatu kondisi gagal tubuh akibat kekurangan nutrisi dan gizi kronis, yang dapat diketahui melalui panjang dan berat badan yang tidak normal. Penelitian ini bertujuan untuk membangun sistem informasi diagnosa stunting pada Balita menggunakan metode forward chaining. Dalam pengembangannya menggunakan bahasa pemrograman PHP dengan database Mysql untuk penyimpanan datanya. Sistem ini membantu dalam melakukan diagnosa stunting pada balita melalui penginputan tinggi badan dan berat badan yang dilakukan oleh kader setiap bulan di posyandu. Selain itu, sistem ini juga memberikan solusi apabila ada balita yang terindikasi stunting. Sistem ini dapat digunakan dimana saja dan kapan saja, baik oleh tenaga kesehatan, kader posyandu maupun oleh orang tua, sehingga dapat membantu keterbatasan masalah deteksi dini tumbuh kembang yang sebelumnya hanya dapat dilakukan oleh tenaga kesehatan.
PENERAPAN SMART JOYFUL JOURNALING FOR KIDS (SaJoJoKids) UNTUK MENINGKATKAN PEMBELAJARAN INOVATIF DAN RELIGIOUS HABITS SDN 4 BAWU Sabilla, Alzena Dona; Muslimin, Khoirul; Wijanarko, KuKuh Dwi; Hamidaturrohmah, Hamidaturrohmah; Andriyani, Santi; Azizah, Noor
Jurnal Abdi Insani Vol 12 No 11 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i11.3035

Abstract

The low level of interest in learning and the lack of religious values at SDN 4 Bawu are major concerns in efforts to improve the quality of basic education. The lack of innovative and enjoyable learning methods and the suboptimal integration of religious character values in teaching and learning activities are the main factors influencing this situation. The objective of this community service activity is to improve the competence of teachers and students in applying innovative technology-based learning through Smart Joyful Journaling for Kids (SaJoJoKids) as a medium for literacy learning and religious habits. The community service method uses a service learning approach that includes the stages of socialization, training, mentoring, and reflective evaluation. Needs analysis was conducted through observation and interviews with teachers and students. The targets of this activity were classroom principals, teachers, educational staff of SDN 4 Bawu Jepara. The results showed that this activity contributed to an 89% increase in teachers' knowledge in applying innovative technology-based learning. This program also had a positive impact on increasing students' creativity in expressing religious values through digital daily journals, with an achievement rate of 84%. In addition, this activity became a support system that motivated teachers and students to continue developing fun and meaningful learning, with an achievement rate of 87%. Thus, this community service activity contributes significantly to improving the competence, skills, and religious character of school members directly
Deep Learning untuk Deteksi dan Segmentasi Kanker Payudara: A Systematic Literature Review menggunakan PRISMA Hartoyo, Nindiya Ika Nugraha; Akbar, Agus Subhan; Sabilla, Alzena Dona
Joutica Vol 11 No 1 (2026): MARET
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jti.v11i1.1637

Abstract

Kanker payudara adalah pertumbuhan sel abnormal yang menyebar dengan cepat ke sel lain dan berpotensi mencapai kegagalan suatu organ untuk berfungsi normal. Kehadirankan sel abnormal ini seringkali menandakan kondisi serius yang memerlukan perhatian medis. Deteksi dini sangat penting untuk pengobatan yang efektif dan mencegah perkembangan penyakit. Perkembangan teknologi AI, khususnya deep learning telah banyak diterapkan dalam analisis citra medis seperti mammografi, USG, dan MRI untuk deteksi serta segmentasi kanker payudara. Deep learning terbukti memiliki kapabilitas tinggi dalam mengenali pola serta memproses data citra medis secara efektif. Penelitian ini bertujuan menyusun tinjauan pustaka sistematis terkait implementasi deep learning untuk deteksi dan segmentasi kanker payudara. Dari total 196 artikel yang teridentifikasi, sebanyak 53 artikel terpilih setelah melalui proses seleksi menggunakan metode PRISMA dari database Scopus. Tinjauan ini meneliti model deep learning dan machine learning mulai dari pengaruh variasi dataset, metrik evaluasi, pengembangan arsitektur, serta penambahan blok khusus beserta pengaruhnya dalam model deep learning terhadap performa deteksi dan segmentasi kanker payudara. Namun, terdapat tantangan seperti bias dataset, skalabilitas di lingkungan dengan sumber daya terbatas, dan generalisasi. Tinjauan ini diharapkan dapat menunjukkan potensi deep learning dan machine learning untuk meningkatkan pengembangan model deteksi dan segmentasi di masa depan, berkontribusi pada peningkatan akurasi diagnosis, skalabilitas, serta hasil pengobatan pasien.
Co-Authors Agus Subhan Akbar, Agus Subhan Ahmad Saefudin Ananta, Yoga Sofian Andriyani, Santi Danang Mahendra, Danang Firmansyah, Andre Hamidaturrohmah, Hamidaturrohmah Hartoyo, Nindiya Ika Nugraha Huda, Muhammad Nidhomul Joko Minardi, Joko Khoirul Muslimin Kukuh Dwi Wijanarko Laila, Azzah Nor Laila, Azzah Nur Margaretha, Sintikhe Novia Maulana, Irvan Noor Azizah Noor Nailie Azzat Olyvia Revalita Candraloka, Olyvia Revalita Pratama, Andrian Dico Rachman, Davied Indra Rofiqoh, Naili Rosyidah, Afifatur Sabrina, Dinta saputro, heru Suluh, Reyvaldo Febrian Rizki Yoga, Hendra Tri