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All Journal Jurnal Informatika SMATIKA Jurnal Ilmiah KOMPUTASI Jurnal Pengabdian UntukMu NegeRI Journal of Information Technology and Computer Science Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Journal of Information Technology and Computer Science (JOINTECS) Teknika: Engineering and Sains Journal Jurnal Sains dan Informatika Jurnal Ilmiah Soulmath : Jurnal Edukasi Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Jurnal Mantik Jurnal Pengabdian Masyarakat IPTEKS Jurnal ABDINUS : Jurnal Pengabdian Nusantara JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Journal of Computer System and Informatics (JoSYC) Indonesian Journal of Cultural and Community Development Indonesian Journal of Law and Economics Review Jurnal Penelitian Sekolah Tinggi Ilmu Kesehatan Nahdlatul Ulama Tuban Jurnal Teknik Informatika (JUTIF) Community Empowerment JPM: JURNAL PENGABDIAN MASYARAKAT KLIK: Kajian Ilmiah Informatika dan Komputer Proceedings Series on Physical & Formal Sciences Indonesian Journal of Innovation Studies PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Jurnal Algoritma Indonesian Journal of Islamic Studies Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) JOINCS (Journal of Informatics, Network, and Computer Science) Jurnal Penelitian Innovative Technologica: Methodical Research Journal PEDAMAS (Pengabdian Kepada Masyarakat) SAINTEK Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Internet and Software Engineering Prosiding Seminar Nasional Unimus Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Advances in Cancer Science Journal of Electrical Engineering Manajemen Pelayanan Kesehatan semanTIK IJHCS Smatika Jurnal : STIKI Informatika Jurnal Academia Open
Uce Indahyanti
Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia
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Prediksi Penyakit Hipertensi Menggunakan Metode Decison Tree dan Random Forest: Aditya, M. Fahrul Rizki; Azizah, Nuril Lutvi; Indahyanti, Uce
Jurnal Ilmiah Komputasi Vol. 23 No. 1 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 1, Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.1.3503

Abstract

Hipertensi merupakan isu kesehatan masyarakat yang penting dimana jarang menyebabkan gejala nyata pada kesehatan fungsional pasien. Hipertensi merupakan faktor resiko utama pada penyakit jantung coroner, gagal jantung serta stroke. Faktor penyebab terjadinya hipertensi adalah umur, jenis kelamin, Riwayat keluarga, genetic, kebiasaan merokok, obesitas, kurang aktivitas fisik, stress, dan penggunaan esterogen. Saat ini teknologi semakin berkembang. Dalam konteks perkembangan teknologi, komunitas medis diberikan kemudahan dengan adanya solusi berbasis teknologi. Salah satu di antaranya adalah program yang memanfaatkan kecerdasan buatan untuk deteksi penyakit hipertensi, dengan implementasi dalam bidang kecerdasan mesin (machine learning). Penelitian ini bertujuan memberikan kontribusi terhadap pengembangan aplikasi yang dapat membantu para profesional medis, terutama dokter dan rumah sakit, dalam mendiagnosis penyakit hipertensi dengan tingkat akurasi yang optimal. metode yang digunakan dalam penelitian ini yaitu decision tree dan random forest. tTahapannya meliputi pemrosesan ulang data hingga evaluasi. Metode decision tree menghasilkan akurasi mencapai 100%, dan hasil yang sama juga diperoleh dari metode random forest. Dengan keduanya meraih akurasi maksimal, penelitian ini memperkuat kemampuan kedua metode tersebut dalam mendiagnosis serta mengelola penyakit hipertensi secara efektif
Prediksi Kelayakan Pemberian Kredit Menggunakan Metode Random Forest Firmansah, Noval; Uce Indahyanti; Ade Eviyanti
Jurnal Ilmiah Komputasi Vol. 22 No. 4 (2023): Jurnal Ilmiah Komputasi : Vol. 22 No 4, Desember 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.22.4.3515

Abstract

Penelitian ini menggunakan data dari Kaggle, yang terdiri dari 32,581 baris dan 12 kolom, untuk mengembangkan model prediksi kelayakan kredit. Tujuan penelitian adalah mengidentifikasi faktor-faktor yang memengaruhi kelayakan kredit dan mengembangkan model yang akurat dalam memprediksi apakah seorang peminjam layak atau tidak menerima kredit. Penelitian melibatkan langkah-langkah pra-pemrosesan data, termasuk imputasi missing value dan penanganan outlier, serta pembagian dataset menjadi data latih dan data uji. Hasil menunjukkan bahwa model mencapai akurasi sebesar 93,28%, dengan parameter terbaik 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, dan 'n_estimators': 100. Penelitian ini memberikan kontribusi dalam pemahaman kelayakan kredit dan pengembangan model prediksi yang dapat digunakan oleh lembaga keuangan untuk pengambilan keputusan kredit yang lebih tepat.
IMPLEMENTASI DATA MINING DALAM KLASIFIKASI DIAGNOSA KANKER PAYUDARA MENGGUNAKAN ALGORITMA LOGISTIC REGRESSION Yahya Anugerah Dwi Khurrota A'yunan; Uce Indahyanti; Suhendro Busono
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.948

Abstract

Breast cancer is a very dangerous disease. It is considered as one of the most serious threats to women's health. To treat breast cancer, surgery and chemotherapy are two common approaches. It is important to diagnose breast cancer early to minimize the severity and increase the chance of cure. This study aims to classify breast cancer diagnoses using Logistic Regression. The data used is secondary data downloaded from Kaggle.com totaling 569 records. The data is processed through encoding to change the data type into numeric. Data must also go through outlier handling to remove the same data or excess data that does not match the z-score requirements. Then the data that is ready to be processed is then divided into training and testing data with a ratio of 70%: 30%. This study produces an accuracy rate of 98% on the prediction of breast cancer patients after classification modeling and model testing using the confusion matrix method.
PENERAPAN SISTEM INFORMASI PELAYANAN MASYARAKAT BERBASIS WEB MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT Mochammad Donni Kurniawan; Yunianita Rahmawati; Uce Indahyanti
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1233

Abstract

This research is to design a web-based community service system application (SIMPELMASWEB) which aims to help parties related to the Pogar – Bangil sub-district in providing services so that services become more effective and efficient. The research model used is Rapid Application Development (RAD), there are several stages carried out as follows: (1) Planning a Requirement, (2) Application System Design, (3) Process of developing and collecting feedback, (4) Implementation and completion of the product From the results of this research which have been tested, it shows that the SIMPELMASWEB application can be used according to its function so that it makes it easier for related parties to serve the Pogar community efficiently and effectively.
IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN POLA PEMBELIAN PADA KOLEGA COFFEE via nabila banda; Ade Eviyanti; Uce Indahyanti
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.1103

Abstract

Kolega Coffee is one of the coffee shops that sells a variety of coffee variants and other menus. The sold menus will be recorded in the sales system for the sales report. The increasing number of visitors generates a lot of sales transaction data. And the data only serves as sales reports and archives. However, if the data is processed further, it will acquire new information for decision-making in business strategy. The research aims to find menus that are often purchased simultaneously through sales transaction data from January to June 2023 using a priori algorithm whose rule has the advantage of being able to know patterns of purchasing products at the same time. by defining frequent itemsets that are useful to form association rules. The results of this study resulted in five association rules from 1917 sales transaction data. For example, if someone buys onion rings, they're also likely to buy a mix platter with a 38.33% confidence rate. This study can give advice for business strategies to coffee colleagues for example for promotion of menu packages or other discounts.
Implementasi Convolutional Neural Network (CNN) Untuk Pengenalan Tulisan Tangan Aksara Bima Ahmad Angga Handoko; Mochamad Alfan Rosid; Uce Indahyanti
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1196

Abstract

Indonesia with its rich cultural diversity, certainly results in the existence of various languages in it. In the dialect of a region, there are letter symbols that represent the expression of the region's unique language. One example of a language that shows unique characteristics in its writing system is Bima, known as the Bima script. Bima script, or often referred to as Mbojo script, is a writing system traditionally used in the Bima region, located in West Nusa Tenggara Province. Bima script is still not widespread among the public, so it is important to preserve it as part of the cultural heritage of the Mbojo tribe. This research aims to train a computer to recognize Bima characters. The Convolutional Neural Network (CNN) method is used in this research to recognize Bima script handwriting. The dataset used consists of 2640 images of Bima script handwriting with 22 classes. The results showed a reliable performance of the CNN model, with an accuracy of 97,34%, precision 97,56%, recall 97,34%, and f1-score 97,31% on the test data.
Peningkatan Kompetensi Guru PG dan TK ABA 1 Gedangan Sidoarjo Melalui Pelatihan Pembuatan Media Ajar Novia Ariyanti; Metatia Intan Mauliana; Uce Indahyanti
Jurnal Pengabdian UntukMu NegeRI Vol. 8 No. 3 (2024): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v8i3.7818

Abstract

Pendidikan anak usia dini adalah tahap awal yang krusial dalam perkembangan anak. Kualitas guru di Playgroup dan TK memegang peranan penting dalam proses perkembangan ini. Meskipun standar kompetensi untuk guru telah ditetapkan, banyak dari mereka yang masih belum memenuhi standar tersebut dalam praktiknya. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kompetensi guru Playgroup dan TK ABA 1 Gedangan Sidoarjo dalam menciptakan media pembelajaran inovatif yang dapat memberikan pengalaman yang berarti bagi siswa dan mendukung pencapaian tujuan SDG’s pendidikan berkualitas. Pendekatan yang diterapkan meliputi ceramah, latihan pembuatan media pembelajaran, dan peer teaching dengan menggunakan media yang telah dibuat. Hasil dari kegiatan ini menunjukkan peningkatan kompetensi guru dalam pembuatan media pembelajaran yang inovatif serta peningkatan kreativitas guru setelah mengikuti pelatihan. Kata kunci: kompetensi, guru, media pembelajaran
Enhancing Childrens Cognitive Abilities Through “Jelajah Alam” Apllication : Promoting Well-being Mariyati, Lely Ika; Fahmawati, Zaki Nur; Indahyanti, Uce; Pertiwi, Berlian Putri; Putra, Rolando Jordan Permana
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v8i2.5680

Abstract

The use of technology in the early childhood learning process is rarely found despite the numerous benefits it offers. This study aimed to examine the effectiveness of the "Jelajah Alam" application in enhancing children's cognitive abilities. Research utilized quantitavive quasi-experimental : one sample pre-test post-test design. Research sample consisted of 19 kindergarten children selected through purposive sampling technique. Data measurement used was Nijmeegse Schoolbekwaamheids Testand Coloured Progressive Matrices Test. Data analysis use Wilcoxon signed-rank test. Findings revealed a significant difference between the pre-test and post-test score after implementing the "Jelajah Alam" application. Results indicated that the use of the application was effective in improving children's cognitive abilities. Results suggest that by playing “Jelajah Alam” application, enhance their cognitive ability based on their developmental phase. Result imply that by using technology, Parents and teacher have additional fun alternative to enhance their children cognitive ability.
Pemodelan Deteksi Dini Diabetes Mellitus menggunakan Pendekatan Ensemble Learning Usabili, Syaikhina; Indahyanti, Uce
Manajemen Pelayanan Kesehatan Vol. 1 No. 1 (2024): Januari
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/mpk.v1i1.2924

Abstract

Diabetes Mellitus ditandai dengan hiperglikemia yang disebabkan oleh pankreas yang tidak dapat memproduksi insulin dengan baik. Diabetes memiliki gejala tahap awal yang dapat dijadikan sebagai tolak ukur seseorang terprediksi Diabetes Mellitus atau tidak. Berdasarkan data Rumah Sakit Umum Daerah Sidoarjo, kasus Diabetes menginjak urutan keempat terbanyak dari 10 penyakit terbesar yang ada di Rumah Sakit Umum Daerah Sidoarjo. Data yang digunakan merupakan data pada tahun 2022–2023 dengan atribut yang terpilih. Tujuan penelitian ini yaitu untuk mendeteksi dini gejala awal Diabetes Mellitus tipe 2 dimana terdapat 5 tanda yang terdeteksi sangat akurat. Anotasi data dilakukan oleh tenaga paramedis yang kompeten di bidangnya. Penelitian ini menggunakan metode klasifikasi ensemble learning dengan alat bantu Rapidminer untuk dan melakukan uji training dan uji testing dengan perbandingan 60:40 pada operator split data serta menambah performance untuk menghasilkan nilai akurasi. Hasil yang didaptakan berupa hasil evaluasi dengan tingkat akurasi Random Forest 87.30% yang dimana tingkat akurasi tersebut dapat dikateogorikan sebagai excellent classification.
Website-Based Marketing Information System for UMKM Products at Asaul Store Using the ADDIE Method Zamorano, Ifan; Indahyanti, Uce
International Journal on Human-Computing Studies Vol. 7 No. 3 (2025): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v7i3.5456

Abstract

UMKM (Usaha Mikro, Kecil, dan Menengah) play a significant role in the economy but often face challenges in marketing their products broadly. Marketing is a crucial aspect in the development of UMKM, especially in today's digital era. However, many UMKM still encounter obstacles in reaching a wider market due to limitations in traditional marketing methods. Toko A’saul, an UMKM business, uses a website-based information system for marketing its products, which effectively enhances its marketing reach and product competitiveness. Website-based marketing positively impacts the increase in sales and market reach of UMKM. Additionally, this system enables UMKM to better compete with larger businesses in the digital market. Through the implementation of a website-based marketing platform, UMKM are expected to maximize their potential in attracting new customers, expanding market share, and improving overall business performance. Moreover, this platform enhances customer satisfaction by offering a better shopping experience and more responsive services.
Co-Authors Abidin, Husnul Ade Eviyanti Adiffanani Ramdansyah Aditya, M. Fahrul Rizki Afidah, Dewi Nur Agung Izulhaq Ahmad Angga Handoko Aisha Hanif Alfinda Ayu Hadikasari Alfitra Oktavian Anis Farihah Ariansyah, Achmad Arif Senja Fitrani Arif Senja Fitroni Aris Hendra Prayoga Awalludin, Krisna Azizah, Risma Nur Azmuri Wahyu Azinar Berlian Putri Pertiwi Brigide Tirenia Loresta Cecep Kusmana Cholifah, Cholifah Cholifah, Cholifah Cindy Cahyaning Astuti Dafit Setiawan Jaya Damasta, Ifanda Reza Deby Kurniawan Armananda Dewi Komala Sari Diah Krisnaningsih Edi Widodo, Edi Eko Agus Suprayitno Eriyanto, Sandi Eko Evi Rinata Fahmawati, Zaki Nur Fahmi, M. Yusril Fery Febbyanto Firdausi Usqi Salsabilah Firmansah, Noval Fitri Nur Latifah Fitroni, Arif Senja Hadikasari, Alfinda Ayu Hamzah Setiawan Ika Ratna Indra Astutik Indah Suci Purnamasari Irwan A. Kautsar Irwan Alnarus Alkautsar Irwan Alnarus Kautsar Khubro, Jamaluddin Jumadil Krisfianto, Moh Ifan Kurniawan, Wildan Lely Ika Mariyati Lily Puspa Dewi M Cholis Afandi Maghfiroh, Alfiah Mahelda Asri Sudarsono Malihatin S, Ulfah Metatia Intan Mauliana Moch. Aji Bagus Firmansyah Mochamad Alfan Rosid Mochamad Alfan Rosid Mochammad Donni Kurniawan Mochammad Septa Sandy mochammad zien rifqi zien Muhammad Arsyad Dhani Muhammad Sulthon Abiyyu Muhammad Syamsuddin Novia Ariyanti Nuril Lutvi Azizah Nuril Lutvi Azizah Pertiwi, Berlian Putri Prayugah, Indra Putra, Rolando Jordan Permana Rafiiqa, Tasya Ratih Puspitasari Rizka Hadiwiyanti Rohman Dijaya Rolando Jordan Permana Putra Saesar Joko Pramono Siti Nur Haliza Suhendro Busono Sukarjadi Sukarjadi Sukma Aji Sumadyo, Sasmito Bagus Sumarno Sumarno Sumarno Sumarno Suryani, Siti Dwi Suseno Ardiansyah Syahrul Ibnu Rafi Tasya Rafiiqa Taurusta, Cindy Tutut Anjarsari Umi Khoirun Nisak Usabili, Syaikhina Veros Ariferdinand Vevy Liansari via nabila banda Wahyu Santoso Yahya Anugerah Dwi Khurrota A'yunan Yoyok Supriyono Yulian Findawati Yulius Hari Yunianita Rahmawati Yuwanto, Mahmud Adi Zamorano, Ifan