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All Journal Jurnal Minfo Polgan (JMP) International Conference on Social Science
Asrul Asrul
Universitas Teknologi Akba Makassar
Computer Science & IT Library & Information Science Mathematics Social Sciences

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Perbandingan Implementasi Layer CNN Untuk Akurasi Optimal Dalam Klasifikasi Jenis Sampah Organik dan Non Organik Nurzaenab Nurzaenab; Sulfahmi Sulfahmi; Agus Halid; Fitriana M. Sabir; Andi Sumardin; Asrul Asrul; Andi Ahmad Zacky Mulya
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15867

Abstract

Permasalahan pengelolaan sampah menjadi isu penting di berbagai lingkungan, termasuk kampus, karena berdampak langsung terhadap kebersihan, kesehatan, dan kelestarian lingkungan. Penelitian ini bertujuan mengembangkan sistem klasifikasi otomatis sampah organik dan nonorganik menggunakan pendekatan Convolutional Neural Network (CNN). Dataset diperoleh dari koleksi gambar yang disimpan dalam Google Drive, kemudian dibagi menjadi data latih (90%) dan data validasi (10%). Untuk meningkatkan variasi dan mengurangi risiko overfitting, dilakukan augmentasi data dengan teknik rotasi, horizontal flip, shear, zoom, serta width dan height shift. Arsitektur CNN yang digunakan terdiri atas beberapa lapisan utama: Conv2D dan MaxPooling untuk ekstraksi fitur, Flatten untuk transformasi data, Dense sebagai fully connected layers, Dropout untuk regularisasi, serta Softmax sebagai output layer dengan dua kelas. Model dilatih menggunakan optimizer Adam, fungsi loss categorical crossentropy, metrik akurasi, dengan 25 epoch dan batch size 10. Hasil eksperimen menunjukkan bahwa model mampu mencapai akurasi tinggi, bahkan lebih dari 99% pada data latih, dengan akurasi validasi yang stabil sehingga tidak menunjukkan gejala overfitting signifikan. Model juga berhasil mengklasifikasikan gambar baru dengan probabilitas yang jelas antara kelas organik dan nonorganik. Kesimpulannya, CNN terbukti efektif sebagai metode klasifikasi sampah berbasis citra, dan penelitian ini membuka peluang pengembangan lebih lanjut ke arah sistem deteksi real-time serta integrasi dengan sistem pengelolaan sampah di kampus maupun masyarakat.
THE EFFECT OF LIFE INSURANCE CLAIM FILING SYSTEM DEVELOPMENT ON INCREASING CUSTOMER SERVICE PERFORMANCE (CASE STUDY: PT. ASURANSI ALLIANZ LIFE INDONESIA KPM. MAKASSAR) Markani Pato; Lilis Sugianti; Askar Askar; Febri Hidayat Saputra; Asrul Asrul; Mashud Mashud; Asnimar Asnimar; Muhammad Resha; Neneng Awaliah
Proceedings of the 1st International Conference on Social Science (ICSS) Vol. 2 No. 1 (2023): Proceedings of the 2nd International Conference on Social Science (ICSS)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/icss.v2i1.87

Abstract

Customer comfort is absolute and needs to be fully attentive to improving service performance, especially companies in the service sector. Submission of life insurance claim pt. Allianz Life Indonesia Insurance still uses conventional methods where when the customer wants to submit an insurance claim, the customer must visit the branch office, website or contact the head office to get information on what requirements are needed to submit a claim. This problem requires a flexible system application that helps customers in submitting claims and companies in processing customer data. This study aims to create a claim submission information system for PT. Allianz Life Indonesia Insurance KPM. Makassar to make it easier for customers to reach claim submissions without having to visit a branch office. Data obtained by: 1. Field research, 2. Interview with PT. Allianz Life Insurance Indonesia. System development using RAD (Rapid Application Development) model. System development using the RAD (Rapid Application Development) model. This model has 3 stages, namely 1. Requirement Planning, 2. Design 3. Implementation. The results showed that the results of testing with the UAT (User Acceptance Testing) technique were obtained by 82,75% of 26 respondents including admins, pimipinan and customers. The test results, it shows that the information system for submitting life insurance claims is declared feasible and can improve customer service performance
Co-Authors A Sumardin Agus Halid Andi Ahmad Zacky Mulya Askar Askar Asnimar Asnimar Febri Hidayat Saputra Fitriana M. Sabir Lilis Sugianti Markani Markani Mashud Mashud Muhammad Resha Neneng Awaliah Nurzaenab Nurzaenab Sulfahmi Sulfahmi