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All Journal Jurnal Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Prosiding KOMMIT Jupiter Jurnal Media Infotama PROSIDING CSGTEIS 2013 JSI: Jurnal Sistem Informasi (E-Journal) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Kursor JUITA : Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan JPSriwijaya JIEET (Journal of Information Engineering and Educational Technology) BAREKENG: Jurnal Ilmu Matematika dan Terapan JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal ULTIMATICS IJID (International Journal on Informatics for Development) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informatika Global Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Abdimas Mandiri Indonesian Journal of Electrical Engineering and Computer Science Reswara: Jurnal Pengabdian Kepada Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Computer Networks, Architecture and High Performance Computing Idealis : Indonesia Journal Information System Jurnal Generic ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal Pengembangan Sistem Informasi dan Informatika Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Teknologi Sistem Informasi Bakti Budaya: Jurnal Pengabdian kepada Masyarakat Jurnal INFOTEL Jurnal Teknik Informatika dan Teknologi Informasi
Shinta Puspasari
Universitas Indo Global Mandiri
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PENERAPAN METODE NEWTON GREGORY DALAM MERAMALKAN GARIS KEMISKINAN DI SUMATERA SELATAN Damayanti, Nadia; Aprianoputri, Aurahaqqi; Desfourtheen, Rinda; Oktalia, Marheska; Saputra, Dimas Riski; Puspasari, Shinta
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.6018

Abstract

Kemiskinan masih menjadi masalah kompleks di berbagai daerah termasuk Sumatera Selatan. Garis kemiskinan diprediksi menggunakan metode interpolasi Newton-Gregory berdasarkan data historis dari Badan Pusat Statistik (BPS) dari tahun 2022–2024. Metode ini dipilih karena mudah digunakan dan mampu memberikan data yang akurat. Penelitian ini menggunakan bahasa pemrograman Python, yang membantu pengolahan data menjadi lebih efisien. Hasil penelitian menunjukkan bahwa metode ini memberikan prediksi yang sangat akurat dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 2,81%. Berdasarkan hasil prediksi menunjukkan bahwa garis kemiskinan di sebagian besar wilayah akan meningkat pada tahun 2024 dan 2025. Ogan Komering Ulu Selatan memiliki garis kemiskinan terendah, sedangkan Kota Palembang memiliki garis kemiskinan tertinggi. Diharapkan penelitian ini bisa menjadi alternatif untuk membantu perencanaan pembangunan berbasis data yang lebih baik.Keywords: Proverty, Newton-Gregory Interpolation, South Sumatera, Prediction, MAPE
Penyuluhan Aman Berkomunikasi Melalui Whatsapp pada Ponpes di Kelurahan Talang Jambe Palembang Sanmorino, Ahmad; Gustriansyah, Rendra; Puspasari, Shinta
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 6, No 1 (2025)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v6i1.4937

Abstract

WhatsApp menjadi salah satu media komunikasi yang paling banyak digunakan oleh berbagai kalangan, termasuk di lingkungan pondok pesantren, karena kemudahannya dalam berbagi informasi secara cepat dan efisien. Namun, pemahaman tentang keamanan dalam penggunaannya masih sering terabaikan. Di Kelurahan Talang Jambe Palembang, penyuluhan terkait cara berkomunikasi yang aman melalui WhatsApp sangat dibutuhkan untuk melindungi para siswa dan tenaga pengajar dari potensi risiko siber yang dapat mengganggu kegiatan pembelajaran. Pengabdian ini bertujuan untuk meningkatkan kesadaran dan pemahaman para siswa dan tenaga pengajar di Pondok Pesantren Kelurahan Talang Jambe Palembang mengenai pentingnya berkomunikasi secara aman melalui WhatsApp. Diharapkan peserta dapat mengenali potensi risiko siber dan menerapkan langkah-langkah keamanan dalam aktivitas komunikasi sehari-hari. Adapun mitra kegiatan pengabdian ini adalah Pondok Pesantren di Kelurahan Talang Jambe Palembang. Pengabdian dilakukan melalui pendekatan penyuluhan dengan metode ceramah dan diskusi interaktif. Materi yang disampaikan mencakup praktik terbaik dalam penggunaan WhatsApp, seperti pengaturan privasi, pengenalan phishing, dan cara menghindari penipuan daring. Hasil feedback pengabdian ini menunjukkan adanya peningkatan pemahaman para peserta perihal berkomunikasi secara aman melalui WhatsApp. Sebanyak 80 persen peserta menyatakan tidak akan mengklik sembarang tautan pada pesan WhatsApp. Sebanyak 80 persen peserta menyatakan tidak akan memberikan informasi pribadi ke orang tak dikenal. Sebanyak 80 persen peserta menyatakan akan selalu update versi WhatsApp terbaru agar lebih aman.
Tree-based models and hyperparameter optimization for assessing employee performance Gustriansyah, Rendra; Puspasari, Shinta; Sanmorino, Ahmad; Suhandi, Nazori; Sartika, Dewi
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp569-577

Abstract

The Palembang city fire and rescue service (FRS) is encountering challenges in adhering to national standards for fire response time. Hence, the Palembang city FRS is committed to enhancing employee performance through quarterly performance assessments based on various criteria such as attendance, work targets, behavior, education, and performance reports. This study proposes tree-based models in machine learning (ML) and hyperparameter optimization to assess the performance of Palembang city FRS employees. Tree-based models encompass decision trees (DT), random forests (RF), and extreme gradient boosting (XGB). The predictive performance of each model was evaluated using the confusion matrix (CM), the area under the receiver operating characteristic (AUROC), and the kappa coefficient (KC). The results indicate that RF performs better than DT and XGB in the sensitivity, AUROC, and KC metrics by 1.0000, 0.9874, and 0.8584, respectively.
Assessing an Innovative Virtual Museum Application using Technology Acceptance Model Puspasari, Shinta; Ermatita; Zulkardi
IJID (International Journal on Informatics for Development) Vol. 11 No. 1 (2022): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3758

Abstract

This study discusses the assessment of a virtual museum application development based on machine learning models for Palembang culture education through the Sultan Mahmud Badaruddin II museum cultural heritage by using the Technology Acceptance Model approach. The application was tested to measure the user acceptance of the application and pre-test and post-test to measure the effect size of the application as a learning media. A total of N=32 student participants were involved in testing the Sultan Mahmud Badaruddin II innovative virtual museum application for museum visitors was dominated by students who came to the museum to learn the culture and history of Palembang. Hypothesis testing results show that the perceived usefulness and perceived ease of use variables do not affect the attitude toward the use of the innovative virtual museum application. The attitude toward the use of the variable affects the behavioural intention to use, which directly also has a moderate effect on the actual use of the application where the dependent variables have the value of R2 > 0.5. The developed app is recommended as alternative learning media during a pandemic where the app testing participants express interest in using the app to enhance the Palembang culture learning experience.
Improving Information Security with Machine Learning Sanmorino, Ahmad; Gustriansyah, Rendra; Puspasari, Shinta; Alie, Juhaini
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3317

Abstract

The study Improving Information Security with Machine Learning explores the fusion of machine learning methodologies within information security, aiming to fortify conventional protocols against evolving cyber threats. By conducting a comprehensive literature review and empirical analysis, this scholarly endeavor highlights the efficacy of machine learning in anomaly detection, threat identification, and predictive analytics within security frameworks. Through practical demonstrations, such as z-score-based anomaly detection in network traffic data and NLP-based email security systems, the study illustrates the practical applications of machine learning techniques. Additionally, it delves into the mathematical underpinnings of predictive analytics and the architecture of neural networks for malware detection. However, while showcasing the transformative potential of machine learning, the study also confronts significant challenges. Ethical, legal, and privacy considerations emerge prominently, emphasizing the need for regulations addressing algorithmic biases, ethical dilemmas, and data protection. Moreover, the study emphasizes the practical challenges of scalability, interpretability, continual adaptation to evolving threats, and the harmonious interaction between human expertise and machine intelligence. By offering practical recommendations and future research directions, this scholarly exploration aims to empower researchers, practitioners, and policymakers in navigating the complex intersection of machine learning and information security, thereby fostering innovation and comprehension in this evolving domain.
Toddlers’ Nutritional Status Prediction Using the Multinomial Logistics Regression Method Gustriansyah, Rendra; Suhandi, Nazori; Puspasari, Shinta; Sanmorino, Ahmad; Sartika, Dewi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3372

Abstract

Malnutrition is one of the foremost health problems experienced by children under five in many countries, especially in low and middle-income countries. Meanwhile, the target of Sustainable Development Goals (SDGs) 2.2 is that all forms of malnutrition must end by 2025. Therefore, this study aims to predict the toddlers’ nutritional status (malnutrition, undernutrition, overnutrition, and normal nutrition) based on age, body mass index (BMI), weight, and length using the Multinomial Logistic Regression (MLR) classification method. The dataset consists of two hundred toddlers obtained from the Kaggle site. Following pre-processing, the dataset is divided, with 80 percent of the data for training and the remaining 20 percent for testing. The model was trained using 10-fold cross-validation (CV). In Addition, the MLR model performance was evaluated using the confusion matrix (CM), the area under the curve (AUC), and the Kappa coefficient (KC). The evaluation results using CM show that the accuracy, sensitivity, and specificity values are 0.9412, 0.9375, and 0.9790, respectively. AUC and KC also show excellent results. It indicates that the MLR method is an esteemed and recommended method for predicting the nutritional status of toddlers. Therefore, this research can contribute to providing early information so that the Government can immediately determine the necessary treatment.
Pendampingan Implementasi E-Arsip Untuk Proyek Infrastruktur Tol Gustriansyah, Rendra; Suhandi, Nazori; Puspasari, Shinta; Sanmorino, Ahmad; Wiyanto, Ari
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 8, No 2 (2025): April 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i2.3605

Abstract

The conventional management of archives using physical files at the Jambi-Betung II Toll Road Land Procurement Commitment Making Officer (PPK-PPTJT) agency results in slow document retrieval, a higher risk of data loss, and limited accessibility to important information. This community service initiative aims to enhance the technological skills of human resources at PPK-PPTJT Jambi-Betung II, particularly in electronic archive management. The methods employed involve socialization and technical training on using e-archive applications for four PPK-PPTJT employees. Evaluation was conducted through questionnaires and interviews to assess the participants' improvement in understanding and skills. The results demonstrated a significant increase in participants' capabilities: 25% reported a better understanding of the benefits of e-archives, 75% enhanced their operational application skills, and 25% felt more confident in managing electronic archives. The implementation of e-archives has successfully reduced reliance on physical documents and expedited the toll road land procurement administration process, ultimately increasing the operational efficiency of PPK-PPTJT Jambi-Betung II.Keywords: e-archive; mentoring; land procurement; archive management  Abstrak: Pengelolaan arsip secara konvensional dengan menggunakan berkas fisik di instansi Pejabat Pembuat Komitmen Pelaksana Pengadaan Tanah Jalan Tol (PPK-PPTJT) Jambi-Betung II menyebabkan lambatnya pencarian dokumen, rentan kehilangan data, dan terbatasnya aksesibilitas terhadap informasi penting. Tujuan pengabdian ini adalah untuk meningkatkan kapasitas sumber daya manusia di PPK-PPTJT Jambi-Betung II dalam hal digitalisasi dan pengelolaan arsip elektronik. Metode yang digunakan meliputi sosialisasi, pelatihan teknis penggunaan aplikasi e-arsip bagi empat pegawai PPK-PPTJT. Evaluasi dilakukan dengan angket dan wawancara untuk mengukur peningkatan pemahaman dan keterampilan empat peserta. Hasil evaluasi menunjukkan peningkatan signifikan: 19% peserta lebih memahami manfaat e-arsip, 31% peningkatan kemampuan operasional aplikasi, dan 25% peningkatan kepercayaan diri dalam pengelolaan arsip elektronik. Penerapan e-arsip berhasil mengurangi ketergantungan pada arsip fisik, mempercepat proses administrasi pengadaan tanah jalan tol, efisiensi ruang penyimpan, dan kemudahan monitoring dan evaluasi proses operasional PPK-PPTJT Jambi-Betung II.Kata kunci: e-arsip; pendampingan; pengadaan tanah; pengelolaan arsip
MEASURING PERCEIVED USABILITY OF ARTIFICIAL INTELLIGENCE-BASED QUIZZES IN A VIRTUAL MUSEUM Shinta Puspasari; Rendra Gustriansyah; Dwi Asa Verano; Ahmad Sanmorino; Hartini Hartini; Ermatita Ermatita
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 4 (2025): JITK Issue May 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i4.5611

Abstract

The transformation of modern museums through digital technology offers added value to visitors, especially in the context of education. Virtual museums, in particular, complement physical museums by providing accessibility and enhancing the learning experience. The SMBII virtual museum includes an AI-based quizzes feature designed to assess the knowledge level of visitors regarding the museum's history and collections as an educational feature. In addition to physical museums, virtual museums offer convenience and enrich the learning process for visitors. The quizzes adapts its questions based on the visitor's profile, leveraging AI to tailor content and maximize learning outcomes. This study aims to compare the effectiveness of two widely used usability metrics—System Usability Scale (SUS) and Usability Metric for User Experience (UMUX)—in evaluating the usability of the AI-driven quiz feature within the SMBII virtual museum. The study specifically seeks to determine whether there are significant differences between SUS and UMUX in measuring user perceptions of the quiz’s usability. The primary respondents of this study were students, who represent the museum's target audience for educational purposes. Hypothesis testing results show no significant difference between the SUS and UMUX scores (P > 0.05), indicating that both metrics offer similar evaluations of usability. Based on these findings, the study recommends the use of UMUX over SUS for future usability assessments in virtual museum systems, as UMUX is more time-efficient without compromising accuracy. This research contributes to advancing the understanding of usability testing methods for AI-based educational features in virtual museum environments
PENINGKATAN PENGETAHUAN MASYARAKAT LEWAT PEMANFAATAN APLIKASI VIRTUAL TOUR 360 MUSEUM SMBII DI MASA PANDEMI Puspasari, Shinta; Dhamayanti, Dhamayanti; Gustriansyah, Rendra; Verano, Dwi Asa; Sanmorino, Ahmad
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v4i1.2493

Abstract

Museum SMBII memiliki fungsi menyimpan, memelihara, memamerkan koleksi benda bersejarah dan budaya Palembang untuk tujuan rekreasi maupun edukasi yang dimanfaatkan seluas-luasnya bagi masyarakat khususnya kota Palembang. Namun, saat pandemi COVID-19 melanda dunia, kebijakan pemerintah daerah Palembang menetapkan museum SMBII untuk menerapkan kebijakan yang disesuaikan dengan situasi pandemi. Museum terpaksa tutup dan membatasi akses bagi aktivitas fisik di museum.  Pengelola museum SMBII telah menyediakan aplikasi untuk memudahkan masyarakat mengakses museum secara virtual. Untuk lebih memperkenalkan aplikasi tersebut, kegiatan pengenalan pemanfaatan aplikasi virtual tour 360 museum SMBII dilaksanakan dengan peserta pelajar atau mahasiswa yang merupakan kategori pengunjung dominan dari museum SMBII Palembang sebelum pandemi. Peserta dikenalkan fungsionalitas dan cara pemanfaatan tiap fitur aplikasi. Peserta diminta menggunakan aplikasi dan mengisi kuesioner evaluasi tingkat penerimaan peserta terhadap aplikasi. Hasil kuesioner menunjukkan bahwa pengetahuan peserta rata-rata meningkat dan aplikasi virtual tour 360 mudah digunakan serta meningkatkan minat peserta untuk jelajah wisata budaya Palembang
Sosialisasi Augmented Reality Koleksi Kain Tradisional Museum Songket Palembang Puspasari, Shinta; Gustriansyah, Rendra; Sanmorino, Ahmad; Purbasari, Nadira Putri; Farhan, Muhammad
Jurnal Abdimas Mandiri Vol. 9 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v9i2.5804

Abstract

Museum Songket di Palembang merupakan institusi budaya yang memiliki peran penting dalam pelestarian kain tradisional khas Sumatera Selatan, khususnya kain Songket yang kaya nilai sejarah dan estetika. Namun, metode penyampaian informasi koleksi yang masih bersifat konvensional sering kali kurang menarik bagi pengunjung, terutama generasi muda. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk mensosialisasikan pemanfaatan teknologi Augmented Reality (AR) sebagai media interaktif dalam memperkenalkan motif-motif Songket koleksi Museum Songket Zainal dan Museum Sultan Mahmud Badaruddin II Palembang. Aplikasi AR yang dikembangkan menampilkan visualisasi motif kain berbasis marker, dilengkapi dengan deskripsi dan fitur kuis untuk mengukur pemahaman pengguna. Sosialisasi dilakukan secara langsung kepada pengunjung museum dan secara daring kepada masyarakat umum. Hasil evaluasi menggunakan instrumen System Usability Scale (SUS) menunjukkan skor rata-rata sebesar 71 dari 30 responden, yang mengindikasikan tingkat usabilitas aplikasi yang baik. Penggunaan teknologi AR terbukti mampu meningkatkan pemahaman dan minat pengunjung terhadap warisan budaya kain tradisional khusunya songket, sekaligus menjadi solusi pelestarian koleksi yang sudah rapuh tanpa kontak fisik langsung. Kegiatan ini mendorong pengelola museum untuk mempertimbangkan adopsi teknologi digital sebagai bagian dari strategi edukasi dan pelestarian budaya yang lebih adaptif di era digital. 
Co-Authors Abdul Rahman Adesta , Erry Juilan T. Ahmad Ghaly Ahmad Sanmorino Alie, Marzuki Aminuyati Ananta, Farras Antony, Fery Aprianoputri, Aurahaqqi Ari wiyanto Ariati, Nining Asfinoza Asfinoza Bobby Halim Damayanti, Arda Darussalam, M. Miftah Dedy Hermanto Desfourtheen, Rinda Dewi Eka Sari DEWI SARTIKA Dewi, Deshinta Arrova Dhamayanti Dhamayanti Dhamayanti Dhamayanti Dhamayanti, Dhamayanti Dien Novita Dwi Asa Verano Ermatita - Farras Ananta Fery Antony gasim, Gasim Ghaly, Ahmad Halim, Bobby Hartini Hartini Hastha Sunardi Haversyalapa, Ditho Herdiansyah, M.I. Husnawati Juhaini Alie Kanaka, Nayaka Al Syahreal Lastri Widya Astuti Lastri Widya Astuti Lastri Widya Astuti M. Rahmat Widyanto M. Rahmat Widyanto Marnisah, Luis Mgs. Deny Ramadhan Muhammad Farhan Mustafa Ramadhan Nadia Damayanti Nazori Suhandi Noviani Kurnia Ambarwati Octaria, Putri Oktalia, Marheska Pameswary, Nathasya Pranata, Risky Purbasari, Nadira Putri Putri Shabira Pratiwi Rachmansyah Rachmansyah Rachmansyah Rachmansyah Ramadhan, Mustafa Rendra Gustriansyah Reza Iman Pribadi Risky Pranata Rudi Heriansyah, Rudi Saputra, Dimas Riski Sartika, Dewi Sunardi, Hastha Suryati Suryati Vega, Marshanda Amalia Verano, Dwi Asa Wiyanto, Ari Zulkardi