cover
Contact Name
Siska Narulita
Contact Email
siska.narulita@itbsemarang.ac.id
Phone
+6281228202122
Journal Mail Official
jci@itbsemarang.ac.id
Editorial Address
Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Institut Teknologi dan Bisnis Semarang Jl. Jenderal Sudirman No. 346, Kec. Gisikdrono, Kota Semarang Jawa Tengah
Location
Kota semarang,
Jawa tengah
INDONESIA
Jurnal Cakrawala Informasi (JCI)
ISSN : 28306562     EISSN : 28306252     DOI : https://doi.org/10.54066/jci.v2i1
Jurnal Cakrawala Informasi (JCI) Sesuai dengan filosofinya, Jurnal Cakrawala Informasi (JCI) bertujuan untuk memberikan sumbangsih pengetahuan di berbagai disiplin ilmu pengetahuan yang relevan dengan sistem atau teknologi informasi serta mendorong para akademisi, ilmuwan atau praktisi untuk mempublikasikan hasil penelitian yang dilakukan. Fokus & Ruang Lingkup Jurnal atau karya ilmiah yang dipublikasikan Jurnal Cakrawala Informasi (JCI) meliputi jurnal atau karya ilmiah dari berbagai disiplin ilmu yang masih berkaitan (berhubungan atau relevan) dengan sistem atau teknologi informasi, misalnya: 1. Sistem/Teknologi Informasi – Politik 2. Sistem/Teknologi Informasi – Hukum 3. Sistem/Teknologi Informasi – Ekonomi 4. Sistem/Teknologi Informasi – Sosial 5. Sistem/Teknologi Informasi – Budaya 6. Sistem/Teknologi Informasi – Bahasa 7. Sistem/Teknologi Informasi – Infrastruktur 8. Sistem/Teknologi Informasi – Sains 9. Disiplin ilmu lainnya yang relevan
Articles 118 Documents
Pemanfaatan Media Sosial Facebook “Buletin Sikka” Sebagai Media Publikasi Kegiatan Pemerintahan (Studi Deskriptif Pada Bidang Protokol dan Komunikasi Pimpinan) TB Inan Malywanni Woga; Intan Mustafa; Markus Kristian Retu
Jurnal Cakrawala Informasi Vol 4 No 2 (2024): Desember : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v4i2.515

Abstract

This research aims to analyze the use of Facebook social media, especially the "Sikka Bulletin" page as a means of publishing government activities carried out by the Protocol and Communication Section of the Sikka Regency Leadership. In the digital era, social media has become an important means of disseminating information quickly and widely to the public. This research uses qualitative methods with a descriptive approach, as well as data collection techniques through participatory, non-participatory observation, and interviews with Facebook users and documentation. The research results show that the "Sikka Bulletin" is effective in conveying information related to government activities to the public. However, there are several aspects that need to be improved, such as optimizing posting times, increasing interaction with the public, and presenting more complete information. The improvements made can increase the effectiveness of publications and strengthen communication between the government and the community. Apart from that, a more effective promotional strategy is needed to expand the reach of the content. Overall, the Sikka Bulletin has great potential to become a more transparent and interactive publication media, so that it can strengthen relationships and encourage community participation in various government activities.
Klasifikasi Gambar Aksara Jawa dengan Optimasi Parameter KNN Menggunakan GridSearchCV Priyambodo, Aji; Heses, Martius Apun; Nurdianto, Kristiawan
Jurnal Cakrawala Informasi Vol 4 No 2 (2024): Desember : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v4i2.525

Abstract

This study focuses on optimizing the K-Nearest Neighbors (KNN) algorithm for Javanese script classification using the Cosine Similarity metric. Through a grid search in cross-validation, the optimal combination of hyperparameters, including the number of neighbors, weighting functions, and distance metrics, was identified. The results demonstrate that the Cosine Similarity metric with a distance weighting scheme achieved the best accuracy of 99.99%. Furthermore, evaluation based on precision, recall, and f1-score revealed highly stable performance across various classes, with most achieving perfect scores. Compared to previous methods, such as LBP, CNN, and DCNN, this approach shows a significant accuracy improvement. These findings indicate that optimizing KNN with the Cosine Similarity metric is highly reliable for developing classification models for complex patterns.
AUDIT SISTEM INFORMASI MENGGUNAKAN FRAMEWORK COBIT 5 PADA SIAKAD INSTITUT TEKNOLOGI DAN BISNIS (ITB) SEMARANG Anggun Putri Dwi Meilina; Aji Priyambodo; Andreas Tigor Oktaga
Jurnal Cakrawala Informasi Vol 4 No 2 (2024): Desember : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v4i2.528

Abstract

This research aims to carry out an information system audit on the Academic Information System (SIAKAD) at the Institute of Technology and Business (ITB) Semarang by utilizing the COBIT 5 Framework. An information system audit is a crucial step to assess the effectiveness, effciency and security of the informatiion system operated by organization. COBIT 5 as an internationally recognized Framework, provides a structured approach to ensuring the governance and management of information technology effective.his research uses an evaluation methodology for key processes in COBIT 5, such as risk management, IT service management, and IT resource management, which are relevant to the implementation of SIAKAD. Data was obtained through interviews, observation and review of internal documents. The audit results comply with several COBIT 5 standards, although there are several areas that still require improvement to increase system perfomance and security. It is hoped that this researcher can provide strategic recommendations for ITB Semarang to optimize academic information systems, as well as become a reference for other institutions that wish to implement COBIT 5 in information system audits.
Klasifikasi Gambar Aksara Jawa dengan Optimasi Parameter KNN Menggunakan GridSearchCV Priyambodo, Aji; Martius Apun Heses; Kristiawan Nurdianto
Jurnal Cakrawala Informasi Vol 4 No 2 (2024): Desember : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v4i2.497

Abstract

This study focuses on optimizing the K-Nearest Neighbors (KNN) algorithm for Javanese script classification using the Cosine Similarity metric. Through a grid search in cross-validation, the optimal combination of hyperparameters, including the number of neighbors, weighting functions, and distance metrics, was identified. The results demonstrate that the Cosine Similarity metric with a distance weighting scheme achieved the best accuracy of 99.99%. Furthermore, evaluation based on precision, recall, and f1-score revealed highly stable performance across various classes, with most achieving perfect scores. Compared to previous methods, such as LBP, CNN, and DCNN, this approach shows a significant accuracy improvement. These findings indicate that optimizing KNN with the Cosine Similarity metric is highly reliable for developing classification models for complex patterns.
AUDIT SISTEM INFORMASI MENGGUNAKAN FRAMEWORK COBIT 5 PADA SIAKAD INSTITUT TEKNOLOGI DAN BISNIS (ITB) SEMARANG Anggun Putri Dwi Meilina; Aji Priyambodo; Andreas Tigor Oktaga
Jurnal Cakrawala Informasi Vol 4 No 2 (2024): Desember : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v4i2.498

Abstract

This research aims to carry out an information system audit on the Academic Information System (SIAKAD) at the Institute of Technology and Business (ITB) Semarang by utilizing the COBIT 5 Framework. An information system audit is a crucial step to assess the effectiveness, effciency and security of the informatiion system operated by organization. COBIT 5 as an internationally recognized Framework, provides a structured approach to ensuring the governance and management of information technology effective.his research uses an evaluation methodology for key processes in COBIT 5, such as risk management, IT service management, and IT resource management, which are relevant to the implementation of SIAKAD. Data was obtained through interviews, observation and review of internal documents. The audit results comply with several COBIT 5 standards, although there are several areas that still require improvement to increase system perfomance and security. It is hoped that this researcher can provide strategic recommendations for ITB Semarang to optimize academic information systems, as well as become a reference for other institutions that wish to implement COBIT 5 in information system audits.
PENGARUH KUALITAS PELAYANAN KARYAWAN, PERSEPSI HARGA, DAN LOKASI TERHADAP KEPUASAN PELANGGAN (Studi pada Mahasiswa Universitas Muhammadiyah Semarang Pelanggan JNE) Ari Dwi Astono; Haryani
Jurnal Cakrawala Informasi Vol 4 No 2 (2024): Desember : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v4i2.500

Abstract

The aim of this research is to analyze the influence of employee service quality, price perception, and location on customer satisfaction (study of students at Muhammadiyah University, Semarang, JNE customers. The data collection method uses a questionnaire, the sampling technique is accidental sampling. A total of 100 respondents are JNE customers in the city of Semarang Based on testing, employee service quality variables have a positive and significant effect on customer satisfaction. Price perception has a positive and significant effect on customer satisfaction.
Pemanfaatan Media Sosial Facebook “Buletin Sikka” Sebagai Media Publikasi Kegiatan Pemerintahan (Studi Deskriptif Pada Bidang Protokol dan Komunikasi Pimpinan) TB Inan Malywanni Woga; Intan Mustafa; Markus Kristian Retu
Jurnal Cakrawala Informasi Vol 4 No 2 (2024): Desember : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v4i2.501

Abstract

This research aims to analyze the use of Facebook social media, especially the "Sikka Bulletin" page as a means of publishing government activities carried out by the Protocol and Communication Section of the Sikka Regency Leadership. In the digital era, social media has become an important means of disseminating information quickly and widely to the public. This research uses qualitative methods with a descriptive approach, as well as data collection techniques through participatory, non-participatory observation, and interviews with Facebook users and documentation. The research results show that the "Sikka Bulletin" is effective in conveying information related to government activities to the public. However, there are several aspects that need to be improved, such as optimizing posting times, increasing interaction with the public, and presenting more complete information. The improvements made can increase the effectiveness of publications and strengthen communication between the government and the community. Apart from that, a more effective promotional strategy is needed to expand the reach of the content. Overall, the Sikka Bulletin has great potential to become a more transparent and interactive publication media, so that it can strengthen relationships and encourage community participation in various government activities.
PENGUJIAN BLACK BOX PADA WEBSITE BUITENZORG OUTDOOR MENGGUNAKAN METODE USE CASE TESTING DAN BOUNDARY VALUE Jovita Nabilah Azizi; Ester Olivia Silalahi; Rafli Damara; Muhammad Farhan Fahrezy; Fikri Saputra; Aditya Wicaksono; Muhammad Nasir
Jurnal Cakrawala Informasi Vol 4 No 2 (2024): Desember : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v4i2.502

Abstract

Software testing is a critical aspect of application development to ensure quality and functionality. This research focuses on black box testing of the Buitenzorg Outdoor website, a platform for renting outdoor equipment. Using the Use Case Testing and Boundary Value methods, this study aims to identify the reliability of functionalities based on user scenarios and input/output validation. The methodology involves use case analysis to define key testing scenarios and boundary value analysis for critical features. The results indicate that several website modules have defects in input validation, particularly in the booking and user registration forms. Based on the testing results, the system performed well with a success rate of 98.64%. This study contributes to improving web-based system testing processes through a systematic and replicable approach. The findings also highlight the importance of use case-based testing to mitigate functional risks in real-world usage environments.
ANALISIS LITERATUR: EFEKTIVITAS SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN DAERAH RAWAN BENCANA Agnes Selan; Diana Yanni Ariswati; Saekoko, Jurni
Jurnal Cakrawala Informasi Vol 5 No 1 (2025): Juni : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v5i1.541

Abstract

Indonesia is one of the countries with the highest disaster vulnerability due to its geographic location at the intersection of three major tectonic plates. This condition requires a disaster mitigation system based on technology, one of which is the use of Geographic Information Systems (GIS). This study aims to evaluate the effectiveness of GIS in mapping disaster-prone areas through a literature review of 15 national and international scientific publications from 2013 to 2023. The findings show that GIS is effective in improving mapping accuracy, accelerating the identification of vulnerable zones, and supporting decision-making in disaster management. Integration with technologies such as real-time sensors, satellite imagery, IoT, and AI further enhances its role in early warning systems. However, challenges remain, including the lack of up-to-date spatial data, limited expertise, and infrastructure gaps in remote areas. Therefore, strengthening human resources and improving infrastructure are essential to optimize the implementation of GIS in disaster mitigation.
PENGGUNAAN ALGORITMA RANDOM FOREST UNTUK DETEKSI MALWARE BERDASARKAN POLA PERMISSION PADA APLIKASI ANDROID KOMUNIKASI Zildan T.M, Muhamad
Jurnal Cakrawala Informasi Vol 5 No 1 (2025): Juni : Jurnal Cakrawala Informasi
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) - Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jci.v5i1.559

Abstract

Android is the most widely used mobile operating system, holding a market share of 72.04% in the first quarter of 2024. Its popularity makes it vulnerable to malware threats, including the misuse of permissions by applications. According to a Kaspersky survey, the number of malware attacks on mobile devices increased significantly in 2023, reaching 33,790,599 attacks. This study aims to analyze malware detection based on permission patterns in Android communication category applications using the Random Forest algorithm. The dataset used consists of 3,437 records obtained from Mendeley Data. The method applied is CRISP-DM, which includes the stages of Business Understanding, Data Understanding, Data Preparation, Modeling, and Deployment. The research was conducted under three different data split ratio scenarios to determine the best results. Evaluation results showed that the best scenario was a 70% training and 30% testing data split, using model parameters of n_estimators=100, max_depth=None, and random_state=45, which yielded an accuracy of 89%. The model was then implemented on a website to analyze APK files and classify malware risk levels into three categories: low, medium, and high.

Page 8 of 12 | Total Record : 118