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Rancang Bangun Aplikasi Sistem Antrian Tamu untuk Mendukung Efektifitas Lahan Parkir Berbasis Online Hanifah, Izzati Millah; Ruskan, Endang Lestari
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1423

Abstract

Guest visits to various government agencies are a common activity. The South Sumatra Provincial Health Service also experienced something similar, where this visit involved various activities such as meetings, hearings, consultations, reporting, and so on. However, with the high frequency of guest visits, various challenges arise, such as employees not being able to determine visit schedules and guests being unable to predict the level of crowds, making it difficult to find a parking space. Several hospitals, such as RSIA Hermina Palembang and Muhammadiyah Hospital Palembang, have implemented a guest visit management system. These systems focus on making patient registration and outpatient administration easier so that there is no more queuing. However, the difference in the problem between the South Sumatra Provincial Health Service and RSIA Hermina and Palembang Muhammadiyah Hospital is the focus on proper scheduling of employees and avoiding accumulation of parking spaces for guests. The right method to overcome this problem is to apply the Rapid Application Development (RAD) methodology, which consists of three stages, namely Requirement Planning, Design, and Implementation. This method involves data collection and analysis which includes literature study, observation, interviews, and filling out questionnaires before designing the system. By using this methodology, we will produce a system that can provide information about the correct guest appointment schedule and avoid accumulation of parking lots by limiting the number of guests arriving at the same time.
Comparison of SVM and Naive Bayes Algorithms in Sentiment Analysis of User Reviews on Bukalapak Alghifari, M Yasir; Sanjaya, M. Rudi; Dwi Rosa Indah; Ruskan, Endang Lestari
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/dqhpkb12

Abstract

Indonesia’s rapid e-commerce growth has produced a vast volume of user reviews, yet their use for insight extraction remains limited—particularly for the Bukalapak platform. This study compares the performance of Naïve Bayes and Support Vector Machine for sentiment classification on 10,000 Bukalapak reviews. The workflow includes text preprocessing (cleaning, case folding, tokenization, stopword removal, and stemming) and feature extraction using Term Frequency–Inverse Document Frequency (TF-IDF; max_features = 10,000). Evaluation employs 10-fold cross-validation with accuracy, precision, recall, and F1-score, complemented by a paired t-test for significance. Results show SVM outperforming NB (accuracy 84.48% vs. 83.96%; F1 0.8253 vs. 0.8205) with better consistency (standard deviation ±1.08% vs. ±1.24%). The t-test confirms a significant difference (p = 0.019), with SVM’s advantage most evident for the negative class (precision 0.80 vs. 0.78). Both models underperform on the neutral class due to severe class imbalance. These findings provide empirical evidence for algorithm selection in Indonesian e-commerce sentiment analysis and open avenues for future research using deep learning and class-imbalance handling techniques.
Penerapan artificial intelligence media desain website pembelajaran inovatif Sanjaya, M. Rudi; Ruskan, Endang Lestari; Indah, Dwi Rosa; Putra, Bayu Wijaya; Afif, Hasnan; Seprina, Iin; Faiq, Al Iksan; Wijayanto, Muhammad Ravi; Imran, Athallah Yasyfi; Danendra, Muhammad Archi Daffa; Rachmad, M. Ichsan Farel
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 7 No. 1 (2026)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v7i1.24377

Abstract

Program Kreativitas Mahasiswa (PKM) ini bertujuan untuk meningkatkan kompetensi digital guru melalui penerapan teknologi Artificial Intelligence (AI) dalam desain website sekolah dan pengembangan media pembelajaran inovatif di SMA Negeri 10 Palembang.  Kegiatan ini dilatarbelakangi oleh kebutuhan guru untuk beradaptasi dengan era pembelajaran digital yang menuntut keahlian, kreativitas, efisiensi, dan interaktivitas tinggi. Metode pengabdian kepada masyarakat menggunakan pendampingan, pelatihan, praktik, diskusi. Melalui pelatihan berbasis praktik, guru dibimbing menggunakan AI dalam pembuatan desain website sekolah yang dinamis serta pengembangan media pembelajaran interaktif seperti pembuatan media pembelajaran aplikasi Gamma, ChatGPT, Wix Studio, Web Flow.  Hasil kegiatan di ukur dan di evauasi menggunakan test pre test dan post test dimana hasil tersebut menunjukkan peningkatan kemampuan guru dalam mengintegrasikan teknologi AI (ChatGPT, Gamma, Wix Studio, Web Flow) pada proses pembelajaran inovatif, kreatif, kolaboratif, dan berorientasi teknologi di  SMA Negeri 10 Palembang. sekolah SMA N 10 Palembang . Program ini berkontribusi nyata dalam mendorong transformasi digital pendidikan serta memperkuat peran guru di SMA Negeri 10 Palembang sebagai inovator dalam lingkungan belajar yang modern dan adaptif yang berbasis teknologi digital.
Implementasi Sistem Informasi Pengaduan Warga Dan Inventaris Barang Pada Kelurahan Plaju Darat Palembang Putra, Bayu Wijaya; Putra, Apriansyah; Sanjaya, M. Rudi; Efendi, Rusdi; Ruskan, Endang Lestari; Seprina, Iin; Herawati, Netty; Gibran, M. Aqeel; Prawira, Wahyu; Ronaldo, M.; Ramadhan, Niki; Akbari, Hayqal Nur
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 6 No. 1 (2026): Januari 2026 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v6i1.989

Abstract

Pengelolaan pengaduan warga dan inventaris barang di Kelurahan Plaju Darat Palembang selama ini masih menghadapi kendala, seperti data yang tersebar di berbagai media, sulit dikategorikan, serta minimnya arsip digital yang terintegrasi. Kondisi ini menyebabkan proses tindak lanjut pengaduan dan pengelolaan inventaris kurang efektif. Program pengabdian kepada masyarakat ini bertujuan untuk mengembangkan sistem informasi berbasis web yang terintegrasi dengan website kelurahan, sehingga dapat meningkatkan efisiensi pelayanan publik. Metode pelaksanaan meliputi wawancara, analisis kebutuhan, perancangan prototype, implementasi dengan framework CodeIgniter, pengujian blackbox dan keamanan sistem, serta sosialisasi kepada perangkat kelurahan dan warga. Hasil kegiatan menunjukkan bahwa sistem informasi pengaduan warga dan inventaris barang berhasil diimplementasikan dan diakses melalui domain kelurahanplajudarat.id. Evaluasi melalui kuesioner kepada 62 peserta menunjukkan tingkat penerimaan dan kepuasan yang sangat baik (85,01%). Program ini tidak hanya meningkatkan efektivitas pengelolaan data, tetapi juga mendorong partisipasi aktif masyarakat dalam menyampaikan pengaduan secara mandiri. Ke depan, sistem ini diharapkan menjadi model berkelanjutan yang dapat direplikasi di kelurahan lain untuk mendukung pelayanan publik berbasis teknologi informasi.
Penerapan Metode User Centered Design dalam Merancang Sistem Informasi Kendaraan Dinas Salsabila, Fatimah; Putra, Pacu; Oktadini, Nabila Rizky; Meiriza, Allsela; Ruskan, Endang Lestari
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 3 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i3.5182

Abstract

Balai Pengelola Kereta Api Ringan Sumatera Selatan adalah pengelola layanan umum dalam bidang perkeretaapian Sumatera Selatan. Balai Pengelola Kereta Api Ringan Sumatera Selatan sering melakukan perjalanan dinas menggunakan mobil dinas baik dalam kota maupun keluar kota. Namun, belum ada sistem informasi peminjaman mobil dinas menyebabkan sulit terkendalinya pendataan peminjaman mobil dinas. Pendataan masih secara manual menyebabkan sering terjadi kesalahan dalam pendataan maupun hilangnya data tersebut karena tidak ter-backup ke database. Pencatatan secara manual dapat mengakibatkan terjadinya human error yang disebabkan karena kelalaian pegawai dalam melakukan pencatatan ataupun hal lainnya yang bisa menyebabkan ketidaksesuaian antara data masuk dan fakta sebenarnya yang terjadi di lapangan. Sistem Informasi peminjaman kendaraan dinas akan sangat membantu dalam proses pendataan, pencarian, maupun penyimpanan data. Metode User Centered Design dilakukan dengan melibatkan end-user dengan melakukan validasi kepada user terhadap sistem yang akan dibuat. Metode ini dapat mempermudah user dalam memahami rancangan sistem informasi yang akan dikembangkan.
Evaluating Pinterest User Experience and Usability Using AttrakDiff and PLS-SEM Putri, Septhia Charenda; Ibrahim, Ali; Utama, Yadi; Ruskan, Endang Lestari; Fathoni, Fathoni
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1408

Abstract

The rapid development of visual platforms such as Pinterest necessitates a comprehensive understanding of how functional and emotional aspects jointly influence users’ perception and engagement. This research addresses the gap in user experience (UX) evaluation of visually rich applications by examining the effects of Pragmatic Quality, Hedonic Quality-Stimulation, and Hedonic Quality Identity on the perceived Attractiveness of the Pinterest application. A quantitative approach was employed using the 28-item AttrakDiff instrument, based on data collected from a final sample of 524 valid respondents, predominantly aged 18–25 years, and using Pinterest several times a week. The data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the aid of SmartPLS to examine the relationships among latent variables. The findings demonstrate that the structural model exhibits a high level of explanatory capability, with an R² value of 0.684. With all three UX dimensions exerting positive and statistically significant effects on Attractiveness. PQ shows the strongest influence (path coefficient = 0.457), followed by HQS (0.391) and HQI (0.112). These findings confirm that functional usability remains the primary driver of attractiveness on Pinterest, while hedonic qualities play a complementary role in enhancing user experience. Practically, this research suggests that designers and developers of visual platforms should prioritize efficient functionality while maintaining stimulating and identity-supporting elements to improve overall user appeal.
Co-Authors . Apriansyah AA Sudharmawan, AA Afif, Hasnan Ahmad Fali Oklilas Ahmad Rifai Akbari, Hayqal Nur Al Farissi Alghifari, M Yasir Ali Ibrahim Ali Ibrahim Allsela Meiriza, Allsela Alvi Syahrini Utami Alvi Syahrini Utami Anggraini, Febrina Hedy Apriansyah Putra Apriansyah Putra Ariani, Ardina Athalina, Githa Aulia Zulfia Bayu Wijaya Putra Danendra, Muhammad Archi Daffa Dedy Kurniawan Deris Stiawan Dian Palupi Rini Dian Palupi Rini Dian Palupi Rini Dwi Citra Hartini Dwi Rosa Indah Ermatita - Faiq, Al Iksan Fathonah, Mutiara Fathoni - Fathoni Fathoni Fatimah Salsabila Fitriani, Lesa Gibran, M. Aqeel Gumay, Naretha Kawadha Pasemah Hanifah, Izzati Millah Imran, Athallah Yasyfi Ismail, Ahmad Arrijal Julian Supardi Karisa Anjani Fakhri Kurniawati, Junia Larasati, Ratu Aprilia Marjusalinah, Anna D. Maula, Nurly Izzatul Meitiana Audya Mgs Afriyan Firdaus Mira Afrina Muhamad Edric Rasyid Nesya Leidy Azzura Netty Herawati Nyimas Sriwihajriyah Oktadini, Nabila Rizky Pacu Putra Perdani, Tharisa Antya Prawira, Wahyu Purwita Sari, Purwita Putri Eka Sevtiyuni Putri, Septhia Charenda Rachmad, M. Ichsan Farel Rahmat Izwan Heroza Ramadhan, Niki Ramadhini, Reffina Resita Oktaviani Rido Zulfahmi Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Dhini Kurnia Ronaldo, M. Rudi Sanjaya Rusdi Efendi Salsabila, Fatimah Sanjaya, M Rudi Sanjaya, M. Rudi Seprina, Iin Sevtiyuni, Putri Eka Syahnel, Ahmad Hidayat Utami, Putri Ela Citra Wahyu Agung Prasojo Wijayanto, Muhammad Ravi Yadi Utama Yudha Pratomo Zefta Adetya