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Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Institut Teknologi dan Bisnis Semarang Jl. Jenderal Sudirman No. 346, Kec. Gisikdrono, Kota Semarang Jawa Tengah
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Jurnal Cakrawala Informasi (JCI)
Published by INSTITUT TEKNOLOGI DAN BISNIS SEMARANG
ISSN : 28306562     EISSN : 28306252     DOI : https://doi.org/10.54066/jci.v2i1
Core Subject : Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science
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
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 118 Documents
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Performansi Algoritma Decision Tree (C4.5) untuk Prediksi Penyakit Jantung Petra Valentino; Siska Narulita
Jurnal Cakrawala Informasi Vol 3 No 2 (2023): 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.v3i2.349

Abstract

Gangguan pada jantung terus meningkat dan menjadi penyakit yang mematikan. Perlunya diagnosis secara dini terhadap penyakit ini, namun hal itu sangat sulit dilakukan. Hal ini dikarenakan kurangnya tenaga ahli medis yang terlatih dan sumber daya lain yang dibutuhkan untuk melakukan diagnosis dan perawatan yang tepat bagi pasien penyakit jantung. Proses evaluasi menggunakan hasil prediksi yang akurat terhadap resiko gagal jantung sangat membantu penderita dalam mencegah serangan jantung yang parah dan dapat meningkatkan angka keselamatan dari penderita penyakit ini. Diantara cara yang paling efektif dalam mengidentifikasi dan melakukan prediksi pada penyakit jantung adalah dengan pemanfaatan algoritma data mining. Penelitian ini bertujuan untuk membuat model terbaik untuk prediksi penyakit jantung menggunakan algoritma data mining Decision Tree (C4.5). Berdasarkan hasil penelitian yang telah selesai dilakukan, dapat diambil kesimpulan bahwa nilai akurasi terbaik diperoleh pada model prediksi yang menggunakan perbandingan data training dan data testing sebesar 90%:10% yang menghasilkan nilai akurasi sebesar 88,35%. Model prediksi ini diharapkan dapat menjadi alat pendukung dalam diagnosis penyakit jantung, sehingga dapat dilakukan pencegahan serangan jantung yang parah dan dapat meningkatkan persentase angka keselamatan bagi penderita.
Sistem Pendukung Keputusan Menentukan Siswa Penerima Beasiswa Di SMKS Patriot Nusantara Jakarta Dengan Metode Analytical Hierarchy Process Berbasis Java Desktop Salna Tilawati; Irwan Agus; Adhityo Kuncoro
Jurnal Cakrawala Informasi Vol 3 No 2 (2023): 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

Abstract

Patriot Nusantara Private Vocational High School (SMKS) is an educational institution in Jakarta, Patriot Nusantara SMKS organizes educational assistance programs through scholarships. There are various types of scholarships given, namely scholarships given to underprivileged and high achieving students. The Student Study Assistance Scholarship (BBS) is a type of scholarship for economically disadvantaged students, while the Academic Achievement Improvement Scholarship (PPA) is a scholarship given to high-achieving students. To find patterns in determining scholarship recipients, a decision support system was built, through research. This research uses the Analytical Hierarchy Process (AHP) method. This method is used to evaluate and make multi-criteria decisions. It evaluates various alternatives based on different criteria and assigns a relative score to each alternative. Based on the results of this research, it produces better and more accurate calculations. If previously selection took 10 hours, now with the decision support system the selection time is shorter.
Sistem Pendukung Keputusan Kinerja Guru Dengan Metode Analitycal Hierarchy Pada SMK Patriot Nusantara Jakarta Sutarjo Sutarjo; Irwan Agus; Adhityo Kuncoro
Jurnal Cakrawala Informasi Vol 3 No 2 (2023): 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

Abstract

Patriot Nusantara Private Vocational High School (SMKS) is an educational institution in Jakarta, Patriot Nusantara SMKS organizes a teacher performance assessment program. In the process of assessing the performance of teachers at Patriot Nusantara Jakarta Vocational School, the conventional method is used by filling out a questionnaire carried out by the school principal and the assessment team, then the questionnaire is summarized. The large number of teachers makes it difficult for school principals and assessment teams to determine the best teacher decisions. To find patterns in teacher performance assessment, a decision support system was built, through research. This research uses the Analytical Hierarchy Process (AHP) method. This method is used to evaluate and make multi-criteria decisions. It evaluates various alternatives based on different criteria and assigns a relative score to each alternative. Based on the results of this research, it produces better and more accurate calculations. If previously selection took 1 day, now with the decision support system the selection time is shorter.
Penerapan Algoritma C4.5 untuk Prediksi Kepuasan Pelayanan Pasien Puskesmas Brangsong I Moh Umar Nauful Fajri; Siti Noor Chotimah
Jurnal Cakrawala Informasi Vol 4 No 1 (2024): 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.v4i1.385

Abstract

The quality of health services is essential to public health center services. One of the influencing factors is the level of patient satisfaction with the services provided. This research aims to predict patient satisfaction at Brangsong I Community Health Center using the C4.5 algorithm and determine the accuracy of the results. The first step is the collection of data which is carried out by the distribution of questionnaires to be completed by patients, then secondly the results of the questionnaire are analyzed for a summary in Excel form. Perform calculations to find the gain and entropy. The results obtained by the service flow obtained the highest gain, which was 0.4974. Then, calculations are performed on the dimensions of the service flow until its completion. The research testing process used RapidMiner software to create a decision tree. The accuracy of the calculation results is 98%. The value of the gain can be influenced by the treatment reserved for the data used during the search. Based on the analysis results, it is hoped that it can improve the performance of Brangsong I Community Health Center by providing better services to patients.
Pengaruh Digital Marketing Terhadap Kinerja Perusahaan : Review Literatur Sistematik Syamsul Hidayat, Mohamad; Eny Setyariningsih; Budi Utami
Jurnal Cakrawala Informasi Vol 4 No 1 (2024): 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.v4i1.388

Abstract

In modern marketing in the digital era, companies must adapt to rapidly developing technological changes. Consumers can get information more quickly via the internet. Companies that are able to provide information more quickly via digital have an easier time winning the competition. Digital marketing has recently been able to influence consumer behavior and company performance. There are several different studies and discussions about the influence of digital marketing. with companies. Therefore, the aim of this article is to provide a more concrete picture of the influence of digital marketing on company performance through a systematic literature review of 1200 articles. Consisting of 200 Scopus indexed publication articles and 1000 articles via Google Scholar. Of these 1200 articles We selected those that had the same topic regarding digital marketing. Then we selected again at least 20 quotes. Then we selected again the 20 most relevant published articles from 2012 to 2023. The findings show that in general digital marketing has an impact on company performance.
Optimasi Prediksi Pemasaran Nasabah Deposito Bank dengan Metode Klasifikasi Logistic Regression Mutiarachim, Atika; Jaluanto Sunu Punjul Tyoso
Jurnal Cakrawala Informasi Vol 4 No 1 (2024): 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.v4i1.390

Abstract

The study aims to determine the impact of the Logistic Regression method on the classification of customer bank deposits, using a public UCI Bank Marketing dataset, which contains customer-specific information of bank deposit telemarketing activities. Data has a binomial label consisting of 'yes' for subscribers and 'no' for non-subscribers. The data preprocessing phase is done with downsampling to make the amount of data more symmetrical, then data selection and data transformation to ensure that the data used values are consistent, attribute selection to select the attributes most accurately used and give significant influence. Classification is done using the Logistic Regression algorithm. Data is shared using a split method with 90% training data and 10% testing data, with the aim of optimizing the training process. The performance result consists of an accuracy of 88.53%, a classification error value of 11.4%, can be categorized as low, showing only a few errors produced by the algorithm model, a kappa value of 0.68 close to 1, so it is categorized well, a low RMSE rating of 0.3 indicates a model accurate, and a high AUC percentage of 93.4% indicates the correct algority used in this dataset, because it produces a good performance value.
Penerapan Metode SAW Untuk Sistem Pendukung Keputusan Pemilihan Dosen Terbaik Program Studi S1 Sistem Dan Teknologi Informasi Institut Teknologi Dan Bisnis (ITB) Semarang Permata Sari, Lavenia Permata Sari; Andreas Tigor Oktaga
Jurnal Cakrawala Informasi Vol 4 No 1 (2024): 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.v4i1.391

Abstract

The purpose of this research is to reveal the advantages of the Simple Additive Weighting (SAW) method in measuring the performance of the lecturer to produce the best lecturer assessment The research uses the purposive sampling method in determining the student participants who have received learning from the sample of the research, namely five lecturers at the S1 System and Information Technology (STI) Study Program of the Institute of Technology and Business (ITB) Semarang in the course of TA. 2020/2021-2022/2023 to give the assessment based on the criteria used, Pedagogical, Professional, Personality, Social. The results of this study obtained the calculations of docent 1 (A1) with a total of 0.85, docent 2 (A2) with a Total of 0.8, docent 3 (A3) with a Total of 0. 8, docent 4 (A4) with a totall of 0.6, and docent 5 (A5) with a TOTAL of 1.00. So it can be concluded that the decision support system using the SAW method showed that with the highest score of docents 5 (A5).
Sistem Penjualan Toko Perhiasan Star Silver Berbasis Web Stanislaus Wahyu Eka Mahendra; Margi Utami; Prihati
Jurnal Cakrawala Informasi Vol 4 No 1 (2024): 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.v4i1.393

Abstract

Star Silver Jewelry Shop is a business entity that operates in the field of selling silver jewelry. It was discovered that this shop still uses handwritten manual transaction proof. When a business is run manually, of course many problems arise, one of which is difficulty in managing transaction data such as proof of sales, item data, item codes and large amounts of sales results. So this research is here to provide a solution. The type of research used is research and development (R&D). This web-based application was created using the CodeIgniter 3 framework, Tailwind CSS and MYSQL database, with the PHP programming language and a little JavaScript. This website contains a login page as an initial display, where users are required to log in to validate whether the operator behind it is an officer or not, then they will be forwarded to a dashboard page with several customized menus.
Sistem Informasi Data Arsip Peta Berbasis Website Pada Dinas Perpustakaan Dan Arsip Daerah Provinsi Jambi Moh Yusuf; Dwi Pebri Ratmiyanti; Muhammad Al-Fajri; Muhammad Saif Akbar; Nissa Hassanah Siagian; Muhammad Hafid Bangko; Yundria Rahmadani; Wafiq Fadiyah
Jurnal Cakrawala Informasi Vol 4 No 1 (2024): 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.v4i1.396

Abstract

The map archiving system in the Jambi Province DPAD is currently facing quite serious challenges because it still relies on manual recording methods. This reliance on manual recording has caused the process of searching for map archive data to be slow and inefficient. Employees have to spend quite a long time searching for and managing the necessary information, resulting in disruptions in productivity and a high potential for data errors. To address this issue, we designed a solution that we believe can provide significant improvements in the management of map archive data. This project is in the form of designing a Website-Based Map Archive Data Information System which will replace the existing manual method. By using web-based technology, this system is specifically designed to increase efficiency and accuracy in managing map archives. It is hoped that with the implementation of this system, the data search and management process will become faster, easier and more structured, thereby helping to increase productivity and reduce the risk of errors in information management.
Analisis Performa Website Universitas Widya Husada Semarang Menggunakan Metode Automated Usability Testing Dengan Tools Google Pagespeed Insights Dan Gtmetrix Sandy Irawan
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.v4i2.397

Abstract

Universitas Widya Husada Semarang adalah salah satu institusi pendidikan tinggi yang berkomitmen untuk menyediakan pendidikan berkualitas di bidang kesehatan. Terletak di kota Semarang, universitas ini menawarkan berbagai program studi yang didesain untuk mencetak tenaga profesional yang kompeten dan berintegritas. Website adalah kumpulan halaman web yang saling terhubung dan dapat diakses melalui internet menggunakan sebuah domain atau alamat web tertentu. Universitas Widya Husada memiliki website yang cukup aktif dalam memberikan informasi kepada calon mahasiswa yang ingin mendaftar maupun website untuk mahasiswa mengenai informasi seputar kampu, nilai akademik, jadwal perkuliahan dan lain sebagainya. Universitas Widya Husada Semarang sedang menghadapi permasalahan serius terkait performa website resminya. Masalah ini mencakup waktu loading yang lambat, seringnya terjadi downtime, dan respons server yang tidak konsisten. Keadaan ini berdampak negatif terhadap aksesibilitas informasi bagi mahasiswa, staf, dan calon mahasiswa. Untuk mengatasi masalah performa website Universitas Widya Husada Semarang, penggunaan tools seperti Google PageSpeed Insights dan GTmetrix dapat menjadi solusi efektif. Google PageSpeed Insights membantu menganalisis dan memberikan rekomendasi perbaikan performa berdasarkan dua aspek utama: kecepatan dan pengalaman pengguna. Hasil yang didapatkan dari Google PageSpeed Insight adalah sebesar 78% Performance, 78% Accessibility, 78% Best Practices dan 85% SEO dalam versi desktop sedangkan versi mobile adalah 66% Performance, 77% Accessibility, 79% Best Practices dan 85% SEO. Sedangkan GTMetrix hasil performa yang ditunjukkan adalah memiliki skor 78%. Jadi pada intinya baik Google Page Speed Insight dan GTMetrix memiliki nilai performa yang sama yaitu 78 atau 78%.

Page 10 of 12 | Total Record : 118

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