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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) JITK (Jurnal Ilmu Pengetahuan dan Komputer) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) 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 bit-Tech Jurnal Abdimas Mandiri Indonesian Journal of Electrical Engineering and Computer Science Reswara: Jurnal Pengabdian Kepada Masyarakat BERNAS: 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 Teknik: Jurnal Ilmu Teknik dan Informatika Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Teknologi Sistem Informasi Bakti Budaya: Jurnal Pengabdian kepada Masyarakat Jurnal INFOTEL Jurnal Software Engineering and Computational Intelligence Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Publikasi Teknik Informatika
Shinta Puspasari
Universitas Indo Global Mandiri
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Sosialisasi Aplikasi Pengelolaan Surat Dokumentasi Cagar Budaya Taman Purbakala Kerjaan Sriwijaya Puspasari, Shinta
Jurnal Abdimas Mandiri Vol. 8 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v8i1.3811

Abstract

Situs Taman Purbakala Kerajaan Sriwijaya (TPKS) diyakini sebagai bekas kawasan pemukiman dan taman di masa kerajaan Sriwijaya dimana pada kawasan ini banyak ditemukan peninggalan purbakala. Di dalam TPKS terdapat cagar budaya dan Museum Sriwijaya yang menyimpan koleksi bersejarah peninggalan kerajaan Sriwijaya. Pengembangan aplikasi pengelolaan surat dokumentasi cagar budaya di Taman Purbakala Kerjaan Sriwijaya (TPKS) bertujuan memudahkan dalam pengelolaan untuk pemeliharaan dan pelestarian serta ketahanan budaya Sumatera Selatan khusus nya kota Palembang melalui TPKS. Kegiatan pengabdian kepada masyarakat ini diawali pengembangan aplikasi berdasarkan kebutuhan TPKS untuk pengelololaan surat dokumentasi cagar budaya. Pada tahapan akhir pengebangkan dilakukan pelatihan dan sosialisasi aplikasi pada pemangku kepentingan yaitu UPTD TPKS. Sosialisasi aplikasi dilakukan dengan tujuan untuk memperkenalkan pemanfaatan fitur-fitur meliputi penambahan, pengubahan, dan pencarian data surat dokumentasi cagar budaya kepada staf TPKS. Masing-masing fitur aplikasi memiliki fungsionalitas berbeda yang perlu diperkenalkan bagaimana memanfaatkan nya sesuai dengan kebutuhan pengelolan surat dokumentasi cagar budaya di TPKS. Dengan metode pengenalan secara langsung kepada pengguna aplikasi diharapkan dapat secara optimal dimanfaatkan oleh pengguna dan meningkatkan kinerja organisasi. Hasil sosialisasi menunjukkan bahwa pengguna dapat dengan mudah memanfaatkan aplikasi untuk pengelolaan surat dokumentasi cagar budaya. Aplikasi yang dikembangkan diharapkan nantinya dapat dimanfaatkan oleh pengelola TPKS sehingga dapat mengoptimalkan kinerja bagian terkait dengan cagar budaya.
Feature Extraction vs Fine-tuning for Cyber Intrusion Detection Model Sanmorino, Ahmad; Suryati, Suryati; Gustriansyah, Rendra; Puspasari, Shinta; Ariati, Nining
JURNAL INFOTEL Vol 16 No 2 (2024): May 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i2.996

Abstract

This study investigates the effectiveness of feature extraction and fine-tuning approaches in developing robust cyber intrusion detection models using the Network-based Security Lab - KDD dataset (NSL-KDD). The role of cyber intrusion detection is pivotal in securing computer networks from unauthorized access and malicious activities. Feature extraction, involving methods such as PCA, LDA, and Autoencoders, aims to transform raw data into informative representations, while fine-tuning leverages pre-trained models for task-specific adaptation. The study follows a comprehensive research method encompassing data collection, preprocessing, model development, and experimental evaluation. Results indicate that LDA and Autoencoders excel in the feature extraction phase, demonstrating precision, high accuracy, F1-Score, and recall. However, fine-tuning a pre-trained Multilayer Perceptron model surpasses individual feature extraction methods, achieving superior performance across all metrics. The discussion emphasizes the complexity and flexibility of these approaches, with fine-tuned models showcasing higher adaptability. In conclusion, this study provides valuable insights into the comparative effectiveness of feature extraction and fine-tuning for cyber intrusion detection. The findings underscore the importance of leveraging pre-trained knowledge and adapting models to specific tasks, offering a foundation for further advancements in enhancing network security through advanced machine learning techniques.
Perbandingan Metode Ekstrapolasi Polinomial dan Ekstrapolasi Chebyshev pada Prediksi Total Ekspor Migas Tahun 2022 Darussalam, M. Miftah; Vega, Marshanda Amalia; Octaria, Putri; Puspasari, Shinta
Jurnal Ilmiah Informatika Global Vol. 15 No. 1: April 2024
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v15i1.3624

Abstract

International trade plays a crucial role in strengthening relationships between nations, where production specialization and exports serve as strategies to address a country's production deficiencies. The focus on exports, particularly oil and gas exports in Indonesia, is key to economic growth. This study compares two primary extrapolation methods, namely polynomial and Chebyshev, to predict the volume of oil and gas exports in 2022. Actual data from 2019 to 2021 is utilized to evaluate the performance of these methods. The analysis results indicate that although both methods provide accurate predictions, polynomial extrapolation has a slightly lower error rate compared to Chebyshev. Using MAPE as the evaluation metric, polynomial extrapolation obtains a value of 28.48, while Chebyshev obtains 31.46. Furthermore, for the relative error, polynomial method yields 0.304466997 percent, and Chebyshev method yields 0.327263854. Therefore, the polynomial method is chosen as the preferred approach, predicting the total oil and gas exports to be 11,127.29.
Forecasting Light Rail Transit Passenger Demand Using Parameter-Tuned Exponential Smoothing Models Gustriansyah, Rendra; Puspasari, Shinta; Sanmorino, Ahmad; Suhandi, Nazori
JIEET (Journal of Information Engineering and Educational Technology) Vol. 9 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v9n2.p101-112

Abstract

Accurate passenger demand forecasting is essential for optimizing the operational efficiency and sustainability of urban rail systems. This study aims to forecast monthly passenger numbers in the Palembang Light Rail Transit (LRT) system using optimized Exponential Smoothing (ES) models with parameter tuning for improved predictive accuracy. Three variants of the ES method are examined: Simple Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Brown's Exponential Smoothing (BES). Furthermore, Seasonal ARIMA (SARIMA) is used as a benchmark to evaluate whether simpler ES models can match or outperform complex statistical approaches. Data from August 2018 to December 2023 are analyzed and split into training and testing sets (ratio 80:20). Model performance is evaluated using Mean Absolute Percentage Error (MAPE), Diebold–Mariano (DM), and Ljung–Box Q (LBQ) tests. The results show that the SES model with a smoothing parameter α = 0.9 achieves the best forecasting accuracy on the test data (MAPE = 8.6%), outperforming other ES variants and previous SARIMA-based models. These findings highlight that simpler ES-based models can effectively capture short-term transportation demand patterns in developing urban transit systems. Practically, the results of this study can provide valuable insights for LRT operators and municipal planners in designing responsive, data-driven operational strategies.
STUDI ANALISIS EIGENFACE DAN EIGEN FUZZY SET UNTUK EKSTRAKSI CIRI BIBIR PADA SISTEM IDENTIFIKASI WAJAH M. Rahmat Widyanto; Shinta Puspasari
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 1, Januari 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2047.286 KB) | DOI: 10.12962/j24068535.v7i1.a58

Abstract

This paper compares the performance of eigenface and eigen fuzzy set to extract lip traits. Testing is conducted by implementing the two methods in a face identification system based on lip traits. The database used is primary data that consists of front-face image and lip image. The test result shows that eigenface is more effective with average precisionrecall value 0.22% higher. However, statistical tests show that there are no significant differences between the two methods. An optimal extraction method will be used to develop face identification system based on facial components.
Penyuluhan aman dalam berbisnis pada usaha kue dan snack di Keluruahan Talang Jambe Palembang Ahmad Sanmorino; Rendra Gustriansyah; Shinta Puspasari
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 4 (2025): Juli
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i4.31489

Abstract

AbstrakMaraknya penipuan digital melalui WhatsApp dan media sosial menjadi ancaman serius bagi pelaku usaha kue dan snack rumahan di Kelurahan Talang Jambe, Palembang. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan literasi digital pelaku usaha dalam mengidentifikasi dan mencegah modus penipuan daring. Metode yang digunakan meliputi presentasi materi dan diskusi interaktif, dengan pendekatan berbasis teori Digital Literacy dan Technology Acceptance Model (TAM). Kegiatan ini dilaksanakan pada Mei 2025 dengan melibatkan pelaku UMKM lokal. Hasil evaluasi menunjukkan peningkatan pemahaman peserta terhadap berbagai jenis penipuan, dari rata-rata 65% sebelum kegiatan menjadi 90,8% setelahnya. Diskusi juga mengungkap pengalaman peserta yang sebelumnya nyaris menjadi korban penipuan. Temuan ini menunjukkan bahwa pendekatan edukatif langsung efektif meningkatkan kesadaran dan kesiapsiagaan digital pelaku usaha. Diharapkan kegiatan ini dapat direplikasi untuk memperkuat keamanan digital UMKM secara lebih luas. Kata kunci: keamanan digital; usaha kue dan snack; penipuan online; pengabdian kepada masyarakat. AbstractThe rise of digital fraud through WhatsApp and social media poses a serious threat to home-based cake and snack businesses in Talang Jambe, Palembang. This Community Service (PkM) initiative aimed to enhance digital literacy among business owners by equipping them with practical knowledge to identify and prevent common online scams. The program employed presentations and interactive discussions, guided by the frameworks of Digital Literacy and the Technology Acceptance Model (TAM). Conducted in May 2025, the activity engaged local micro-entrepreneurs who actively use digital platforms for marketing. Evaluation results showed a significant increase in participants’ understanding of various types of fraud—from an average of 65% before the program to 90.8% afterward. Discussions revealed that several participants had previously been close to falling victim to such scams. These findings highlight the effectiveness of direct educational approaches in strengthening cybersecurity awareness. The program is expected to serve as a model for similar efforts aimed at improving the digital resilience of MSMEs. Keywords: digital security; cake and snack business; online fraud; community service.
Perbandingan Kinerja Algoritma Support Vector Machine dan Random Forest dalam Analisis Sentimen Ulasan Hotel di Kota Palembang pada Google Maps Ari wiyanto; Shinta Puspasari; Lastri Widya Astuti
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5802

Abstract

The growth of the tourism sector in Palembang City has encouraged an increase in the need for quality hospitality services. In the digital age, user reviews on the Google Maps platform are an important source of data to assess customer satisfaction. This study aims to analyze and compare the effectiveness of two sentiment classification algorithms, namely Support Vector Machine (SVM) and Random Forest, in processing hotel reviews in Indonesian. A total of 1000 review data was used and processed through the stages of text cleanup, letter normalization, tokenization, stopword removal, and stemming. The evaluation was carried out with two approaches: 80:20 data sharing and cross-validation using the K-Fold technique. On data sharing, Random Forest showed 88% accuracy and 100% recall, while SVM recorded 87% accuracy and 99% recall, with equivalent precision and F1-score. However, cross-validation showed that the SVM was more stable and consistent, with 92% accuracy, 94% accuracy, 98% recall, and 96% F1-score, outpacing Random Forest's 91% accuracy and 95% F1-score. These results show that the SVM algorithm is superior in analyzing hotel review sentiment on Google Maps. These findings provide recommendations for tourism information system developers to adopt an SVM-based approach to review data processing to support more accurate and responsive decision-making.
Pengembangan Aplikasi Augmented Reality Berbasis Android dalam Pembelajaran Geometri Bangun Ruang di Sekolah Dasar Putri Shabira Pratiwi; Shinta Puspasari; Mustafa Ramadhan
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5853

Abstract

This research aims to develop an Augmented Reality (AR) application for Android devices to support the teaching of three-dimensional geometry in primary education. The development process employed the Multimedia Development Life Cycle (MDLC) model, which consists of six stages: concept, design, material gathering, assembly, testing, and distribution. The application is designed to display three-dimensional representations of basic geometric figures such as cubes, cuboids, prisms, pyramids, cylinders, cones, and spheres. In addition to visual models, the application also provides related mathematical equations and explanatory commentary to strengthen students’ conceptual understanding. The testing phase demonstrated that the AR application is capable of presenting 3D objects with clarity and stability when viewed from a distance of 10–30 cm and within an angle range of 45° to 135°. These conditions ensure that the objects remain easily recognizable and interactive in classroom learning environments. User feedback from both teachers and students highlighted the engaging nature of the application, particularly in fostering motivation, improving visualization skills, and encouraging interactive learning experiences. Overall, the findings suggest that this AR-based application can serve as an effective educational tool for primary school students, bridging the gap between abstract geometry concepts and practical visualization. By integrating modern technology into mathematics instruction, the application has the potential to enhance both comprehension and interest in learning geometry while supporting innovative digital learning practices in the classroom.
PENINGKATAN POTENSI EDUWISATA MUSEUM MAYJEN.TNI (PURN) DR. A.K. GANI LEWAT REVITALISASI BERBASIS INOVASI TIK Shinta Puspasari; Rachmansyah Rachmansyah; Bobby Halim; Farras Ananta; Risky Pranata; Ahmad Ghaly
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 9 (2023): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i9.3472-3479

Abstract

Kegiatan pengabdian kepada masyarakat (PkM) ini dilakukan di museum MayJen. TNI (Purn.) dr. A.K. Gani untuk meningkatkan potensi eduwisata museum pasca pandemi COVID-19 lewat revitalisasi berbasis inovasi Teknologi Informasi dan Komunikasi. Permasalahan mitra yang mengalami kesulitan dalam mempromosikan museum untuk eduwisata coba diselesaikan dengan menawarkan solusi berupa pembuatan perangkat pojok digital yang dapat dimanfaatkan sebagai fasiltas media promosi dilengkapi dengan fitur video profil museum dan apikasi sistem informasi koleksi museum. Sosialisasi dan evaluasi perangkat pojok digital dilakukan pada Pameran Senjata Tradisional 2023 yang diselenggarakan oleh Museum Negeri Sumatera Selatan. Sejumlah N=30 pengunjung pameran diminta untuk mengisi kuesioner umpan balik sebagai dasar evaluai kegiatan PkM. Hasil evaluasi kegiatan menunjukkan rata-rata responden menyatakan setuju bahwa perangkat pojok digital Museum  Mayjen. TNI (Purn) dr.A.K.Gani efektif sebagai fasilitas layanan informasi yang menarik minat kunjungan ke museum.  Kegiatan PkM ini diharapkan efektif bertampak pada peningkatan jumlah kunjungan eduwisata bagi museum MayJen. TNI (Purn.) dr.A.K.Gani serta masyarakat sekitarnya.
Application of Preference Selection Index (PSI) Method in Selecting Outstanding Students Yusuf Akhlun Nazzar; Shinta Puspasari; Lastri Widya Astuti
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3085

Abstract

This study aims to develop an objective and transparent system for selecting outstanding students at MTsN 2 Palembang by applying the Preference Selection Index (PSI) method. Conventional evaluation in schools often prioritizes academic performance while overlooking extracurricular involvement and religious achievements. To address this limitation, three main criteria academic achievement, non-academic activities, and tahfidz were integrated into a multi-criteria decision-making framework. The research involved several stages: determining criteria and weights (0.5 for academics, 0.3 for non-academics, and 0.2 for tahfidz), collecting and normalizing data, calculating preference values, and ranking students. Data from 189 students were processed, producing PSI scores ranging from 0.6703 to 0.8329, with an average of 0.7251 and narrow gaps among the top five students. The results showed that although grade IX students dominated the top ten rankings, a grade VIII student achieved the highest score of 0.8329, demonstrating that balanced performance across criteria can outweigh seniority. These findings highlight the effectiveness of PSI in ensuring fair and holistic rankings by recognizing diverse dimensions of student performance, unlike conventional teacher-based assessments. Furthermore, the study illustrates the broader applicability of PSI as a decision-support tool that can be adopted by other schools and educational institutions to align evaluation practices with institutional values and educational goals. This approach not only improves fairness and transparency in student selection but also encourages the design of balanced development programs that foster intellectual, social, and spiritual growth.
Co-Authors Abdul Rahman Adesta , Erry Juilan T. Aditya Putra, Aditya Ahmad Ghaly Ahmad Sanmorino Alie, Marzuki Aminuyati Antony, Fery Aprianoputri, Aurahaqqi Ari wiyanto Ariati, Nining Asfinoza Asfinoza Bobby Halim Cindy Asyra Fratari Damayanti, Arda Darussalam, M. Miftah Dedy Hermanto Desfourtheen, Rinda Dewi Eka Sari DEWI SARTIKA Dhamayanti Dhamayanti Dhamayanti Dhamayanti Dhamayanti, Dhamayanti Dien Novita Dwi Asa Verano Dwi Asa Verano Ermatita - Farras Ananta Fery Antony gasim, Gasim Hartini Hartini Hastha Sunardi Haversyalapa, Ditho Herdiansyah, M.I. Hermaliah, Siti Ayu Husnawati Indah Permatasari Juhaini Alie Kanaka, Nayaka Al Syahreal Khadafi, M. Khrisna Brilian Lastri Widya Astuti Lastri Widya Astuti Lastri Widya Astuti Lastri Widya Astuti M. Rahmat Widyanto M. Rahmat Widyanto Marnisah, Luis Mgs. Deny Ramadhan Muhammad Farhan Muhammad Haviz Irfani Mustafa Ramadhan Nadia Damayanti Nadia Damayanti Nazori Suhandi Noviani Kurnia Ambarwati Octaria, Putri Oktalia, Marheska Pameswary, Nathasya Purbasari, Nadira Putri Putri Shabira Pratiwi Rachmansyah Rachmansyah Rachmansyah Rachmansyah Ramadhan, Mustafa Renaldy Pratama 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 Yusuf Akhlun Nazzar Zulkardi