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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) Sisforma: Journal of Information Systems JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa 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 Progresif: Jurnal Ilmiah Komputer 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)
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Model Perencanaan Tata Ruang Wilayah menggunakan Spatial Temporal Autocorrelation (Studi Kasus: Kabupaten Jayawijaya) Kogoya, Waiki Elkius; Prasetyo, Sri Yulianto; Sulistyo, Wiwin
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp237-246

Abstract

Jayawijaya Regency faces various challenges in the use of land tenure status in urban planning areas (RTRW). This study focuses on the RTRW Spatial Pattern Plan in Wamena Urban on changes in land tenure with a spatial temporal autocorrelation (STA) approach. The results showed that there were two spatial patterns formed in the Wamena Urban Area, namely cluster patterns and dispersed patterns. Cluster patterns are formed in airports, urban areas, flat woodland agriculture, local protection/LIPI plantations, and river boundaries. Dispersed patterns are formed in community plantations and scrubs, rural settlements, wetland agriculture, slope dryland agriculture, and mining. The results of the analysis showed that cluster patterns in the Airport, Urban, Flat Dryland Agriculture, Local Protection/LIPI Plantations, and River Border areas showed significant changes in land tenure status. Climate change, infrastructure development, and population growth are some of the factors causing these changes. Meanwhile, dispersed patterns in community plantations/shrubs, rural settlements, wetland agriculture, slope dryland agriculture, and mining showed no significant change in land tenure status. This is due to factors such as conflicts over customary rights to land ownership. This study provides an overview of spatial patterns of changes in land tenure status in the Wamena Urban Area. The results of this research can be used as a basis for the formulation of land management policies and strategies in the region.
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.
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.
Acceptance and Use of the MyASN Application Among Civil Servants: An Integration of TAM and IS Success Model in South Central Timor Regency Merlyn Gizella Nifu; Wiwin Sulistyo; Hendry Hendry
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 2 (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.
Analysis of Academic Scheduling Management Using ISO/IEC 27001:2022 People Controls Yolan Dita Dewi Pramudita; Wiwin Sulistyo; Irwan Sembiring
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.14531

Abstract

User behaviour plays a critical role in determining the effectiveness of academic information system management, particularly in processes requiring high data accuracy and timeliness, such as academic scheduling. Despite system support, inconsistencies in data provision and updates indicate that information reliability is influenced by how users perform their responsibilities. This study evaluates People Controls based on ISO/IEC 27001:2022 Annex A.6 and integrates COBIT–CMMI to measure capability levels from a behavioural perspective. A qualitative approach was employed through observation and structured interviews with key stakeholders involved in academic scheduling. User activities were mapped to Annex A.6 controls to identify implementation gaps, followed by capability level assessment using COBIT–CMMI. The results show that control implementation is largely informal and habit-based, with an overall capability level of Level 2 (40%). User behaviour demonstrates basic control execution but lacks consistency and standardization, particularly affecting data accuracy and timeliness, which leads to misalignment between data availability and operational needs. These findings emphasize that improving information security requires strengthening consistent user behaviour, role accountability, and structured practices, alongside technical system support.
Analisa Jaringan Internet dengan Quality of Service Pada Teknologi Wireless Local Area Network Moh Tri Adi Prasetyo; Wiwin Sulistyo
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.929

Abstract

At present the development of technology is very rapid and has succeeded in creating new technologies, especially in the field of internet technology. The presence of internet technology has a good impact on human life. Therefore, with the existence of internet technology, everyone can connect between regions in one internet network which is quite large and there are no other regional boundaries. The internet is a combination of computers that are connected to each other with the help of cables or fiber optics, telephone lines, and satellites. PT Solo Jala Buana is an internet service provider that can be used in Indonesia, offering various internet packages with speeds ranging from 1 Mbps to 100 Mbps which can be used both wirelessly and via LAN. Service standard or Quality of Service (QoS) is the ability of a network to provide data traffic services with delay, throughput, and packet loss parameters. QoS can be used to check This research found QoS measurement results on 50 Mbps services which were analyzed by live stream, which resulted in the conclusion that the service is quite stable when used when users are busy or quiet, but improvement is still needed to achieve the desired results
Implementation of IP SLA and Policy-Based Routing for Failover In a Multi-Homed Network Dysan Yusak; Wiwin Sulistyo
Journal of Innovation and Technology Polbeng Series on Informatics (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/g2av9m56

Abstract

In the current digital era, stable and uninterrupted internet connectivity is the backbone of modern operations, demanding high availability and reliability. A key challenge is managing the inherent single point of failure associated with a single ISP connection. This study investigates the implementation and effectiveness of IP Service Level Agreement (IP SLA) and Policy-Based Routing (PBR) on a multi-homed network to achieve automated failover optimization. A virtual testbed was constructed using EVE-NG with a Cisco IOS C7200 image, and each test scenario was replicated five times to ensure data consistency. IP SLA was configured for proactive failure detection (parameters: timeout 5000 ms, threshold 500 ms, request-data-size 100, delay up 10, delay down 5), while PBR was used for VLAN-based traffic steering. The results indicate that this solution successfully steered traffic according to policy and achieved a consistent failover switchover time of 1.07–1.09 seconds (n=5), supported by Wireshark analysis, which documented up to 100% packet loss during the transition. The failure detection time, directly correlated with the IP SLA frequency, varied from 3.96 seconds (5-second frequency) to 45.63 seconds (60-second frequency). During the transition, router CPU load remained low at 3%, indicating high resource efficiency. This research concludes that the combination of IP SLA and PBR is an effective solution for enhancing the resilience and service continuity of multi-homed networks with minimal computational overhead.
Enhanced Tsunami Vulnerability Assessment via Hybrid Random Forest and XGBoost Stacking Ensemble Antonius Budi Istiadi; Sri Yulianto Joko Prasetyo; Wiwin Sulistyo
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 3 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i3.6243

Abstract

Previous studies in coastal Java have used Random Forest, K-Nearest Neighbors, and Least Absolute Shrinkage and Selection Operator regression for land cover dynamics and statistical analyses, with recent 2024 findings showing that Extreme Gradient Boosting outperforms RF in classification accuracy. However, there is a gap in the model’s ability to simultaneously integrate all built-up land indices using an ensemble stacking algorithm. This study aims to develop a new classification framework based on dynamic stacking ensembles to improve tsunami vulnerability assessment accuracy in the coastal area of Jember Regency, East Java. This research method develops a hybrid RF-XGBoost model by integrating DEM topographic parameters and the built-up index from Landsat 8 imagery (2023–2025), beginning with K-Means clustering to identify homogeneous spatial patterns prior to classification. The novelty of this research lies in the development of a dynamic stacking ensemble method that integrates algorithms (RF and XGBoost) as base learners with multinomial logistic regression as a meta-learner. Unlike conventional single-model methods, this methodology uniquely synergizes built-up land indices combined with integrated topographic analysis to extract physical vulnerability parameters more precisely. This result demonstrated increased prediction robustness, with a high accuracy of 0.976 and an AUC-ROC of 0.5493, which significantly exceeds the class discrimination capabilities of the Random Forest or Extreme Gradient Boosting models alone. The contribution of this research is to propose an ensemble model that enhances predictive resilience and provides a reliable decision-support framework for tsunami risk mitigation planning.
Peningkatan Akurasi Penentuan Base Transceiver Station Menggunakan Kombinasi Metode Weighted Product Dan Analisa Regresi Linier Berganda Gracia Sonia Lestari Wibowo; Wiwin Sulistyo
TEKNIK Vol 39, No 1 (2018)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.912 KB) | DOI: 10.14710/teknik.v39i1.16788

Abstract

Kebutuhan akan tersedianya internet semakin meningkat sekarang ini. Untuk menunjang kebutuhan tersebut, Internet Service Provider (ISP) membangun menara Base Transceiver Station (BTS). Permasalahan timbul ketika terdapat banyak pilihan BTS yang dapat digunakan client untuk terhubung ke jaringan ISP. Metode Weighted Product dapat digunakan untuk menentukan pilihan BTS yang tepat dalam waktu singkat. Metode ini dikombinasikan dengan analisa regresi linear berganda untuk menentukan bobot awal bagi masing-masing kriteria penentuan pilihan. Pada pengujiannya, model yang dihasilkan memberikan akurasi mencapai 73% yang dilakukan terhadap 30 titik client pada PT. Grahamedia Informasi.