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All Journal Jurnal SOLMA BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains Minda Baharu Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknik Informatika (JUTIF)
Hendrasuryawan, Brilyan
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Other

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Expert System for Pregnancy Risk Diagnosis Using Decision Tree and Dempster-Shafer Method Wiharto; Azizah, Setia Mukti; Hendrasuryawan, Brilyan
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 4 (2024): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i3.448

Abstract

The high Maternal Mortality Rate (MMR) remains a severe concern in maternal healthcare. One of the reasons is the delay in recognizing early danger signs during pregnancy. To address this issue, there is a proposed solution in the form of developing an expert system aimed at swiftly and efficiently diagnosing pregnancy risks in pregnant women using the Decision Tree and Dempster Shafer methods. The Decision Tree method is employed for symptom classification, while Dempster Shafer provides confidence values for existing facts. This research collects data from the dataset, the Poedji Rochjati Score Card (KSPR), and qualitative data through expert interviews. From the collected data, knowledge acquisition processes are then carried out to extract knowledge using the ID3 Decision Tree and combine all symptoms from the gathered data. The processed data is then represented as a decision tree and assigned confidence values. The development of this expert system utilizes the Laravel framework with PHP language and MySQL database. System validation involves patients as participants and midwives as experts and testers. Testing was conducted on March 13 and 16, 2024, involving 16 patients at the Gatak Community Health Center. The system evaluation results show an accuracy rate of 93.75%. This value indicates that the system can operate effectively. Thus, it can be recommended for use in diagnosing pregnancy risks.
PENINGKATAN KEAMANAN LINGKUNGAN DENGAN PENERAPAN CCTV DI DUKUH SRIMULYO Cahyono, Hasan Dwi; Wardani, Dewi Wisnu; Hendrasuryawan, Brilyan; Setiadi, Haryono; Doewes, Afrizal; Anggrainingsih, Rini; Wijayanto, Ardhi
MINDA BAHARU Vol 8, No 2 (2024): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v8i2.7015

Abstract

. Berdasarkan kegiatan Pengabdian kepada Masyarakat (PkM) yang sudah terlaksana, yakni penerapan closed-circuit television (CCTV) di Dukuh Srimulyo, Boyolali, didapatkan hasil bahwa dapat membantu menyelesaikan masalah mitra. Adapun permasalahan yang ditemukan adalah kurangnya pengawasan yang dapat memberikan rasa aman kepada warga. Hal ini terjadi akibat banyaknya jalur kendaraan yang dapat melintasi wilayah tersebut tetapi belum diterapkan adanya pengawasan secara real-time. PkM ini bertujuan untuk mengatasi masalah keterbatasan tersebut. Solusi yang ditawarkan kepada mitra adalah penerapan CCTV yang dapat merekam kejadian di titik yang penting. Pendampingan dilakukan dalam bentuk pelatihan penggunaan CCTV dan penyediaan fasilitas untuk pengawasan yang akan digunakan oleh mitra. Adapun hasil dari PkM ini adalah ditemukan bahwa para warga memberikan sambutan baik dengan diterapkannya CCTV ini pada kegiatan yang dilakukan berdasarkan umpan balik yang diberikan setelah kegiatan selesai. Selanjutnya CCTV yang terpasang pada titik penting berjumlah dua dan telah melalui proses penelaahan bersama dengan warga. Adapun dampak yang diperoleh secara nyata setelah PkM ini berakhir adalah sebagian besar peserta dapat melakukan pengawasan secara mandiri menggunakan aplikasi aplikasi CCTV yang telah terpasang
Peningkatan Keterampilan Warga Disabilitas: Peningkatan Kuantitas Batik Ciprat dengan Alat Pengering Gravitiani, Evi; Purnomo, Rochmat Aldy; Sulistyati, Apika Nurani; Hendrasuryawan, Brilyan; Sartika, Rebecca Cindy; Prananto, Adi; Rudianto, M
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

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Abstract

Background: Proses pengeringan batik ciprat masih mengandalkan sinar matahari yang tidak menentu dan belum didukung alat pemanas, sehingga produksi belum siap memenuhi pesanan dalam jumlah besar dengan tenggat waktu tertentu. Program ini bertujuan untuk mengatasi permasalahan rendahnya kuantitas penawaran batik ciprat Karangpatihan dengan cara meningkatkan keterampilan mitra dalam menggunakan alat pengeringan batik berbasis tenaga listrik. Metode: Program ini dilaksanakan selama bulan Maret hingga Desember 2025. Mitra dari program ini adalah Rumah Harapan Mulya, yang melibatkan 50 peserta terdiri dari kaum muda dengan latar belakang sosial ekonomi lemah, perempuan, dan penyandang disabilitas fisik. Metode pelaksanaan kegiatan dilakukan secara sistematis melalui tahapan: (1) observasi dan wawancara awal; (2) sosialisasi program dan pengenalan alat pengering batik ciprat berbasis tenaga listrik; (3) pelatihan teknis dan praktik penggunaan alat; serta (4) monitoring dan evaluasi. Hasil: Hasil program menunjukkan adanya peningkatan keterampilan mitra dalam menggunakan alat pengering batik ciprat berbasis tenaga listrik. Berdasarkan hasil pengukuran sebelum dan sesudah pelatihan, peningkatan keterampilan sebesar 72% dari kondisi awal, ditandai dengan kemampuan mengoperasikan alat secara mandiri. Selain itu, kapasitas produksi batik ciprat juga meningkat dari rata-rata 30 kain per minggu menjadi 50 kain per minggu, atau mengalami peningkatan sebesar 66,7%.
Sistem Integrasi dan Otomatisasi Tempat Sampah Cerdas Berbasis Internet of Things pada Tempat Sampah Publik Hendrasuryawan, Brilyan; Rizqia, Adkha Wildan; Widiarto, Wisnu; Saptono, Ristu
BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains Vol. 9 No. 1 (2026): BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/fqanxa15

Abstract

This study aimed to develop a Smart Waste Management System based on the Internet of Things integrated with an Android application to improve waste management effectiveness. The method used was system design and testing of a smart trash bin equipped with ultrasonic sensors and location detection to monitor bin conditions in real time. The results show that ultrasonic sensor 1 and ultrasonic sensor 2, system testing, and system integration testing functioned as expected with a low error rate. The integration testing as the main evaluation point achieved an accuracy value of 99.7%. In conclusion, the developed system is able to assist sanitation workers in tracking and collecting waste more effectively and efficiently. Keywords: Android application, Internet of Things, smart trash bin, waste management
Optimizing E-commerce Personalization through Hybrid Decision Tree–Nearest Neighbor Recommendation Integration Syaifuddin, Akhmad; Saptono, Ristu; Rohmadi, Arif; Widoyono, Bambang; Hendrasuryawan, Brilyan
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5418

Abstract

Single-method recommendation systems face critical limitations: content-based filtering suffers from overspecialization while collaborative filtering struggles with data sparsity and cold-start problems. This research introduces an innovative hybrid recommendation framework that synthesizes Content-Based Filtering (CBF) utilizing Decision Trees with Collaborative Filtering (CF) employing Nearest Neighbor algorithms. Our approach addresses the inherent limitations of singular recommendation methodologies by integrating product attribute analysis with collective user behavior patterns. We conducted comprehensive evaluations using a shopping behavior dataset comprising 3,900 consumer records with diverse demographic and product interaction data. Our findings reveal that an asymmetric hybrid configuration—weighted at 70% for CBF and 30% for CF—achieves optimal performance with a Root Mean Square Error (RMSE) of 0.7422. The system incorporates an interactive user interface that facilitates a natural shopping experience: browsing available items, receiving personalized recommendations, and providing explicit feedback on suggested products. Through feature importance analysis, we identified key product attributes that significantly influence recommendation quality, including size variations and specific color preferences. The hybrid approach demonstrates 42% greater category diversity and 37% more recommendation diversity compared to pure content-based filtering, while maintaining superior accuracy metrics. Our research contributes to understanding optimal hybrid architectures and provides practical insights for implementing effective personalization strategies in real-world e-commerce environments.
Co-Authors Afrizal Doewes, Afrizal Arif Rohmadi Azizah, Setia Mukti Dewi Wisnu Wardani Evi Gravitiani, Evi Hasan Dwi Cahyono Prananto, Adi Purnomo, Rochmat Aldy Rini Anggrainingsih Ristu Saptono Rizqia, Adkha Wildan Rudianto, M Sartika, Rebecca Cindy Setiadi, Haryono Sulistyati, Apika Nurani Syaifuddin, Akhmad Widoyono, Bambang Wiharto Wijayanto, Ardhi Wisnu Widiarto