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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TEKNIK JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Seminar Nasional Informatika (SEMNASIF) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Krea-TIF: Jurnal Teknik Informatika Indonesian Journal of Computing and Modeling The IJICS (International Journal of Informatics and Computer Science) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal of Engineering, Technology and Natural Sciences (IJETS) Aiti: Jurnal Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Journal of Information Technology Ampera Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Sosial dan Sains Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Jurnal Pendidikan Teknologi Informasi (JUKANTI) INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Wiwin Sulistyo
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics

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PENGARUH KEAMANAN DATA, KEPERCAYAAN DAN KUALITAS WEBSITE TERHADAP KEPUTUSAN PEMBELIAN PADA TIKTOK SHOP DAN FACEBOOK MARKETPLACE PADA KOTA SALATIGA Tamba, David Egi; Sulistyo, Wiwin
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5526

Abstract

Penelitian ini bertujuan untuk membandingkan pengaruh Keamanan Data, Kepercayaan, dan Kinerja Website terhadap Keputusan Pembelian pada platform E-Commerce TikTok Shop dan Facebook Marketplace di Kota Salatiga. Metode penelitian yang digunakan adalah penelitian kuantitatif komparatif dengan pengumpulan data dilakukan melalui survei menggunakan kuesioner terhadap 120 responden yang pernah melakukan transaksi di kedua platform tersebut. Analisis data dilakukan dengan menggunakan teknik deskriptif statistik, regresi berganda, uji t, dan uji F.Hasil penelitian menunjukkan bahwa terdapat hubungan linear antara variabel Keamanan Data, Kepercayaan, Kinerja Website, dan Keputusan Pembelian baik pada TikTok Shop maupun Facebook Marketplace. Korelasi antara variabel-variabel tersebut juga menunjukkan hubungan yang positif dan signifikan, dengan pengaruh yang lebih besar pada Facebook Marketplace dibandingkan dengan TikTok Shop. Koefisien determinasi menunjukkan bahwa faktor-faktor yang diteliti memberikan kontribusi yang lebih besar pada Keputusan Pembelian di Facebook Marketplace (74,9%) daripada TikTok Shop (51,2%). Dalam konteks uji hipotesis, variabel Keamanan Data dan Kepercayaan secara signifikan mempengaruhi Keputusan Pembelian baik pada TikTok Shop maupun Facebook Marketplace. Namun, Kinerja Website hanya berpengaruh signifikan pada Facebook Marketplace. Implikasi temuan ini adalah bahwa sementara Facebook Marketplace memiliki pengaruh yang lebih besar terhadap Keputusan Pembelian, preferensi individu dan aspek lain seperti keamanan data dan kepercayaan juga perlu dipertimbangkan dalam memilih platform E-Commerce yang sesuai.
Acceptance and Use of the MyASN Application Among Civil Servants: An Integration of TAM and IS Success Model in South Central Timor Regency Nifu, Merlyn Gizella; Sulistyo, Wiwin; Hendry, Hendry
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 02 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i02.2639

Abstract

The MyASN application is a mobile-based mandatory system designed to support Civil Servants (ASN) in accessing personnel-related information. However, its implementation still faces challenges, including data inconsistencies and system integration issues. This study analyzes the factors influencing the acceptance and actual use of the MyASN application among civil servants in South Central Timor Regency. The research integrates the Technology Acceptance Model (TAM) and the DeLone and McLean Information Systems Success Model. A quantitative survey involved 250 respondents, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS. The results reveal a distinct adoption pattern for mandatory government systems. Service quality has no significant impact on user perceptions, indicating that users prioritize independent system functionality over technical support. System quality acts as a baseline expectation that significantly enhances perceived ease of use and perceived usefulness, but it does not significantly influence user satisfaction. Conversely, information quality emerges as the application's true core value; while it does not affect ease of use, it strongly drives perceived usefulness and user satisfaction. Furthermore, user satisfaction acts as the strongest predictor of users’ intention to continue using the application, which directly drives actual system use. Practically, these findings recommend that the National Civil Service Agency (BKN) and regional governments prioritize data accuracy to achieve user satisfaction and maintain system stability to prevent user dissatisfaction, rather than solely focusing on support services.
Urban Heat Island dan Vegetasi: Analisis Spasial Indeks NDVI, NDMI, dan NDBI Gilberto Jemali; Wiwin Sulistyo
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 17 No. 1 (2026): JURNAL SIMETRIS VOLUME 17 NO 1 TAHUN 2026
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v17i1.16858

Abstract

This evaluates land cover changes and their impact on surface temperature dynamics in Bekasi City using Landsat 8 imagery from 2013 and 2023 through NDVI, NDMI, NDBI, and LST indicators. The approach integrates multispectral analysis with spatial autocorrelation analysis (Moran’s I) to examine Urban Heat Island (UHI) patterns. The results show a decrease in NDVI from 0.172 to 0.152 and NDMI from 0.064 to 0.042, indicating a reduction in vegetation and surface moisture. Conversely, NDBI increased from 0.198 to 0.244, accompanied by a rise in surface temperature from 40.1°C to 43.3°C and the expansion of heat-prone areas toward the eastern and southern regions. The decline in Moran’s I from 0.394 to 0.304 reflects a more dispersed heat distribution pattern. Correlation analysis reveals negative relationships between NDVI–LST and NDMI–LST, while NDBI–LST shows a positive correlation. This study highlights the crucial role of vegetation in mitigating UHI and contributes by integrating spectral indices with spatial-temporal analysis to support more effective planning of Green Open Spaces (RTH)
Implementasi algoritma gradient boosting machine untuk deteksi intrusi pada jaringan komputer Dileando Gamaliel; Wiwin Sulistyo
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 2 (2026): IT-Explore Juni 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i2.2026.pp119-130

Abstract

This study investigates the implementation of the Gradient Boosting Machine (GBM) algorithm for network intrusion detection using the CICIDS2017 dataset within the CRISP-DM framework. The process encompasses Business Understanding, Data Understanding, and Data Preparation including data cleaning, categorical feature encoding, normalization, and data split (80 % training, 20 % testing). In the Modeling phase, GBM Hyperparameters (learning_rate = 0.1; max_depth = 5; n_estimators = 150) were optimized via Grid Search with 2-fold Cross Validation, and F1-Score  was selected as the primary metric due to class imbalance. Evaluation on the test set yielded accuracy of 99.99 %, precision of 100 %, Recall of 99.98 %, and F1-Score  of 99.99 %, demonstrating exceptional detection capability with minimal false negatives and false positives. Compared to previous studies, this GBM model outperforms in accuracy and stability without overfitting. These findings confirm GBM’s effectiveness for modern Intrusion Detection Systems and its suitability for Deployment in resource-constrained operational environments.
Co-Authors Achmad Sathibi Agus, Yulius Manahil Hendrawan Albertoes Pramoekti Narendra Aldy Rotinsulu Alja Aminanto Anton Hermawan Arman Novrianto Arzan Khoirul Anam Bistok Hasiholan Simanjuntak Cahyono, Ferdian Bagas Christanto, Erwien Christianto, Natanael Deni Mardiyanto Denny Purwa Widyantono Dileando Gamaliel Erwien Christianto Gidion Fajar Tri Krisnadi Gilberto Jemali Hafizh, Afrianton Noor HENDRA SETIAWAN Hendry Hosea Adrian Pratama Isa Mahendra Kusuma Rachman, Bhaskara Julian Lirama Junior Pandari junga, David Kogoya, Waiki Elkius Krisna Budi Prastya Maulana, Andrian MHD. Reza M.I. Pulungan Milleano Jody Alfredo Natanael Christianto Nifu, Merlyn Gizella Prasetyo, Moh Tri Adi Prasetyo, Sri Yulianto Santosa, Hans Nova Saputra, Christian Ferry Masyu Saputra, Laufi Dian Deodo Sartomo, Sartomo Sesilia Kirana Vaniamosa Setyo Hadi Darminto Sinurat c Sri Winarso Martyas Edi Sri Yulianto Joko Prasetyo Subanar . Susatyo, Yeremia Alfa Suwah Yudianto Tamba, David Egi Tambunan, Marihot Tora Tambunan, Marihot Tora Teguh Indra Bayu Teguh Wahyono Wibowo, Gracia Sonia Lestari Widianto, Theodorus Kristian Wilopo Liem Bob Yanuar Chris Milian Yusak, Dysan