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All Journal Jurnal Sistem dan Informatika Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Informatics for Educators and Professional : Journal of Informatics JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknik Informatika UNIKA Santo Thomas WIDYABHAKTI Jurnal Ilmiah Populer Jurnal Teknik Informatika (JUTIF) Mattawang: Jurnal Pengabdian Masyarakat Society: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Sevanam: Jurnal Pengabdian Masyarakat AMMA : Jurnal Pengabdian Masyarakat Jurnal Multidisiplin Indonesia
I Komang Dharmendra
Institut Teknologi Dan Bisnis STIKOM Bali
Religion Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Public Health Social Sciences Veterinary Other

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Implementasi Sistem Informasi Pelayanan Laundry pada Mak Laundry Mesari Menggunakan Framework Laravel Silvya Edis Palar; Charles Lourenco Pinto Da Silva; I Komang Dharmendra; Niwayan Setiasih
Jurnal Multidisiplin Indonesia Vol. 5 No. 7 (2026): Jurnal Multidisiplin Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jmi.v5i7.2839

Abstract

Mak Laundry Mesari merupakan salah satu usaha jasa laundry yang dalam kegiatan operasionalnya masih melakukan pencatatan data pelanggan dan transaksi secara manual menggunakan buku catatan. Proses pencatatan manual tersebut menimbulkan sejumlah permasalahan, seperti kesalahan pencatatan data, kesulitan pencarian data pelanggan, keterbatasan dalam memantau status proses laundry, serta proses pembuatan laporan transaksi yang membutuhkan waktu cukup lama. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pelayanan laundry berbasis web yang dapat membantu proses pengelolaan data pelanggan, layanan, dan transaksi laundry secara lebih efektif, terstruktur, dan mudah diakses. Sistem dikembangkan menggunakan metode Waterfall melalui tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, hingga pemeliharaan. Proses perancangan didukung dengan pemodelan Data Flow Diagram (DFD) dan Entity Relationship Diagram (ERD), serta dibangun menggunakan framework Laravel dan basis data MySQL. Sistem yang dihasilkan dilengkapi dengan fitur autentikasi berbasis peran (admin dan pelanggan), pengelolaan layanan kiloan dan satuan, pelacakan status pesanan secara bertahap, konfirmasi pembayaran, serta notifikasi status pesanan secara otomatis melalui WhatsApp menggunakan Laravel Queue. Pengujian sistem dilakukan menggunakan metode black box testing terhadap 70 skenario pengujian yang mencakup pengelolaan status pesanan, pengelolaan layanan, keamanan akses berbasis peran, dan notifikasi WhatsApp, dengan hasil seluruh skenario dinyatakan valid. Hasil penelitian menunjukkan bahwa sistem informasi yang dibangun mampu menggantikan proses pencatatan manual, mempercepat pengelolaan data, serta meningkatkan kualitas pelayanan yang diberikan kepada pelanggan Mak Laundry Mesari.
Classifying Public Complaints in Denpasar: a Comparative Study of CNN, RNN, LSTM, and Stacking Deep Learning Models Dharmendra, I Komang; Wijaya, I Made Pasek Pradnyana; Putra, I Made Agus Wirahadi; Atmojo, Yohanes Priyo; Pratiwi, Luh Putu Safitri
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4153

Abstract

The process of lodging complaints represents a complex behavioral construct, influenced by the interplay of emotional states, sociocultural factors, and situational contexts. It functions as a pivotal channel for citizens to express dissatisfaction regarding the quality of governmental services. This research aims to optimize public complaint management by leveraging deep learning-based text classification on citizen submissions collected from the Denpasar City Complaint Web Portal. The methodological approach integrates several neural network models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks, further enhanced by a Stacking ensemble technique that amalgamates the strengths of each architecture. The dataset consists of 10,302 textual records, categorized into four semantic classes: Complaints, Suggestions, Inquiries, and Information. To improve the robustness and reliability of the classification, advanced preprocessing steps were implemented, including the application of the Synthetic Minority Over-sampling Technique (SMOTE) to alleviate class imbalance and the utilization of Term Frequency–Inverse Document Frequency (TF-IDF) for extracting the most informative textual features. Empirical results demonstrate that the Stacking ensemble model significantly outperforms individual baseline models, achieving an accuracy of 77.83%, with recall and F1-score values of 74.38%. These findings highlight the effectiveness of ensemble deep learning approaches in multiclass complaint classification, thereby supporting improvements in public service delivery and fostering greater governmental transparency. Ultimately, this study contributes to the field of automated text classification by illustrating the potential of advanced neural architectures to enhance citizen participation and institutional accountability.
Co-Authors Budaya, I Gede Bintang Arya Charles Lourenco Pinto Da Silva Dedy Panji Agustino, Dedy Panji Desak Putu Ayu Aprilia Dinda Sari EDWAR Edwar Edwar Evi Triandini Fathur Mahida Rangga Gede Adistana Wira Saputra I Gede Harsemadi I Gusti Agung Ngurah Rai Semadi I Gusti Agung Ngurah Rai Semadi I Gusti Agung Ngurah Rai Semadi I Gusti Ayu Desi Saryanti I Gusti Ngurah Ady Kusuma I Made Agus Wirahadi Putra I Made Ari Santosa I Made Pasek Pradnyana Wijaya I Made Pradipta I Putu Ramayasa, I Putu Ida Ayu Mirah Cahya Dewi Ida Bagus Suradarma Komang Oka Saputra Kusuma, Tubagus Mahendra Luh Putu Ayu Desiani, Luh Putu Ayu LUH PUTU SAFITRI PRATIWI Mahendra, Tubagus Muhamad Samsudin Muhamad Samsudin Ni Kadek Mesi Damayanti Ni Nyoman Utami Januhari, Ni Nyoman Ni Wayan Setiasih Niwayan Setiasih Novia Ari Sandra Nyoman Ayu Nila Dewi Nyoman Pramaita Pande, I Made Suandana Astika Putra, I Made Agus Wirahadi Ricky Aurelius Nutanto Diaz, Ricky Aurelius Silvya Edis Palar Tubagus Mahendra Kusuma Wijaya, I Made Pasek Pradnyana Yohanes Priyo Atmojo Yohanes Priyo Atmojo, Yohanes Priyo