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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer IJID (International Journal on Informatics for Development) Jurnal Mantik Journal of Computer System and Informatics (JoSYC) Jurnal Scientia Jurnal Pendidikan West Science Jurnal Krisnadana West Science Interdisciplinary Studies Science Information System and Technology EDUCENTER JURNAL PENDIDIKAN
Dewantara, Rizki
Institut Teknologi Bisnis Dan Kesehatan Bhakti Putra Bangsa Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Evaluasi Manajemen Keamanan Informasi Menggunakan Indeks Keamanan Informasi (KAMI) pada Jaringan (Studi Kasus: UIN Sunan Kalijaga Yogyakarta) Rizki Dewantara; Bambang Sugiantoro
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 6: Desember 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021863123

Abstract

Serangan pada jaringan saat ini sangat sering terjadi, dengan semakin banyaknya cara untuk melakukan pengaksesan terhadap data dan semakin berkembangnya teknologi yang digunakan tentunya akan menyebabkan meningkatnya ancaman keamanan suatu jaringan. Evaluasi manajemen keamanan informasi menggunakan indeks keamanan informasi (KAMI) yang dilakukan pada jaringan di UIN Sunan Kalijaga Yogyakarta didapatkan hasil indeks 407, yang dianggap masih belum optimal. Hal ini yang mendasari perlunya implementasi Open Source SIEM (OSSIM) ke dalam indeks KAMI. Penelitian ini dilakukan untuk mengoptimalkan proses keamanan informasi agar dapat bekerja sesuai dengan standar indeks KAMI. Metode penelitian yang digunakan meliputi studi literatur, melakukan Pre-Assesment Indeks KAMI, mengimplementasi infrastruktur OSSIM, monitoring indeks keamanan informasi menggunakan teknologi OSSIM, dan melakukan Post-Assesment Indeks KAMI, tahapan akhir ini menganalisis hasil monitoring untuk dibuat perbandingan bagaimana kondisi jaringan sebelum dan sesudah diimplementasikan OSSIM pada jaringan. Skor nilai perbandingan dari hasil penelitian terkait Indeks KAMI menunjukkan peningkatan skor penilaian sebesar 25, setelah diterapkan penggunaan OSSIM dari sebelumnya tanpa penerapan OSSIM sebesar nilai 407 menjadi 432. Peningkatan indeks KAMI membantu menaikan nilai pada aspek tata kelola, pengelolaan asset dan teknologi, namun tingkat kelayakan keamanan informasi masih di level I+ sampai dengan II+ sehingga keamanan informasi pada jaringan tidak layak dan butuh perbaikan. AbstractAttacks on networks today are very common, with more and more ways to access data and the development of technology used, they will certainly cause an increase in network security threats. Evaluation of information security management using the information security index (KAMI) conducted on the network at UIN Sunan Kalijaga Yogyakarta obtained an index result of 407, which is considered still not optimal. This underlies the need to implement Open Source SIEM (OSSIM) into the KAMI index. This research was conducted to optimize the information security process so that it can work according to the KAMI index standards. The research methods used include literature study, conducting KAMI Index Pre-Assessment, implementing OSSIM infrastructure, monitoring information security index using OSSIM technology and conducting KAMI Index Post-Assessment, this final stage analyzes the results of monitoring to make comparisons of network conditions before and after implementation of OSSIM on the network. Comparative scores from the results of research related to the KAMI Index show an increase in the score of 25, after applying OSSIM from before without applying OSSIM, the value of 407 becomes 432. The increase in the KAMI index helps raise the value of governance aspects, asset management and technology, but the level of information security eligibility is still at the level of I+ to II+ so the information security on the network is not feasible and needs improvement. 
Availability Analysis with Failover Computer Cluster Method Case Study in Academic Information System of UIN Sunan Kalijaga Rizki Dewantara; Siska Iskandar; Agung Fatwanto
IJID (International Journal on Informatics for Development) Vol. 6 No. 2 (2017): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (467.063 KB) | DOI: 10.14421/ijid.2017.06205

Abstract

High-performance academic information systems and high availability services are requirement in every university. One of many reasons is for anticipation damage and fail server disrupting server network performance. Failover computer cluster method is applied to two servers: primary server as main server and secondary server as backup server. Four stages will be carried out: First: Installation and support software configuration. Second: installation and failover cluster configuration. Third: installation and Distributed Replicated Block Devices (DRBD) configuration. Forth: server testing with siege and nettool.This research conducted by doing server test before and after high availability. As if the main server has a system failure, it will automatically backup the main server to backup server to minimize user accessed data failures. System uses Ubuntu 16.04 LTS operating system. Based on the test data, it is acquired two data: packet data and data response time (ms). Data packets acquired from this research are: 233.3 average data sent; 228.3 average data received; 2.3 average data lost; while 59.7 average response time (ms) is showed; 2.7 minimum average; 633.8 maximum average. Data sent is 120B per data.
Analysis of the Effect of Using Marketplace Based on Customer Data Security Rizki Dewantara; Wilda Widiawati; Pandu Adi Cakranegara; Abdul Samad Arief; Tienni Mariana Simanjorang
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i3.3018

Abstract

The era of the digital economy has become a trend that facilitates transactions for all individuals. One of them is the existence of a marketplace application that uses the internet network to facilitate the buying and selling process. Currently, numerous individuals use the functionality and convenience of the marketplace application for their various activities and needs. Obviously, the features and convenience of the marketplace application have been significantly adapted to meet the needs of customers, and customer data security has been prioritized. This study examines the level of customer understanding regarding the security of personal data when conducting online transactions and utilizing marketplace applications. Random sampling was used to distribute questionnaires containing 16 questions with guttman scale assestment about environmental and social influences, personal data security facilities, the purpose of using the marketplace, and self-awareness regarding customer data security when using the marketplace application to 80 respondents. 84% of customers stated that the security of their personal data has been entrusted to the used marketplace application, according to the overall findings of the study. Obviously, this is related to the customer's needs in utilizing marketplace features, as 77.5% of customers strongly believe that the marketplace application they use provides a level of security for customer personal information.
Peramalan Jumlah Kasus Baru HIV Menurut Provinsi Menggunakan Machine Learning dengan Teknik Levenberg-Marquardt Irfani Zuhrufillah; Fitri Anggraini; Rizki Dewantara
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2172

Abstract

Early detection of HIV is a crucial step to reducing transmission and increasing the success of HIV treatment. The sooner HIV is detected, the sooner treatment can be carried out so that this infection can be controlled and does not develop into AIDS. Therefore, the purpose of this study is to forecast the Number of New HIV Cases in Indonesia based on 34 Provinces so that the government can obtain information early on to determine the right policy to suppress the increasing number of new HIV cases in Indonesia. This research proposes forecasting using a Machine Learning algorithm with the Levenberg-Marquardt technique. The research data is data on the number of new HIV cases by province obtained from the 2021 Indonesian Health Profile book issued by the Ministry of Health of the Republic of Indonesia. This research will be analyzed using three network architecture models, 3-15-1, 3-20-1 and 3-25-1. Based on the analysis of the three models used, the results show that the 3-15-1 model is the best because it produces a higher accuracy level than the other two models, which is 88%. It can be concluded that the Levenberg-Marquardt technique with the 3-15-1 model is quite suitable for forecasting new cases of HIV in Indonesia. Based on the prediction results, the number of new HIV cases by the province in Indonesia at the end of 2022 decreased significantly compared to 2021, which was 24668 compared to 36902 or reduced by around 12 thousand cases.
Analisis Peramalan Item Penjualan dalam Optimalisasi Stok Menggunakan Metode Least Square Rizki Dewantara; Jonathan Giovanni
Jurnal Krisnadana Vol 3 No 1 (2023): Jurnal Krisnadana - September 2023
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v3i1.504

Abstract

Penelitian ini mengkaji pentingnya perencanaan stok dan manajemen persediaan dalam operasi bisnis yang efisien. Salah satu elemen utama dalam manajemen persediaan adalah peramalan penjualan yang akurat. Peramalan yang tepat memungkinkan perusahaan untuk mengoptimalkan stok, menghindari biaya penyimpanan yang tidak perlu, dan meningkatkan efisiensi serta profitabilitas. Beberapa penelitian sebelumnya telah menunjukkan bahwa metode Least Square memiliki potensi besar dalam mengoptimalkan stok dan mengurangi biaya persediaan. Penelitian ini bertujuan untuk menerapkan metode Least Square dalam peramalan penjualan item dengan fokus pada optimalisasi stok. Dengan peramalan penjualan yang akurat, perusahaan dapat menghindari kekurangan atau kelebihan persediaan, meningkatkan efisiensi operasional, dan merencanakan produksi serta distribusi dengan lebih baik. Penelitian ini relevan dalam konteks bisnis saat ini yang penuh dengan persaingan global dan lingkungan bisnis yang dinamis. Hasil peramalan menunjukkan bahwa penjualan produk jenis A pada bulan Januari 2023 diperkirakan sebanyak 3 unit barang. Selain itu, penelitian ini menghitung nilai trend penjualan untuk setiap periode, dengan total kenaikan trend mencapai 15,5%.
VISUALIZATION AND ANALYSIS OF DATA ON ILLITERATE POPULATION IN INDONESIAN PROVINCES USING GOOGLE DATA STUDIO Tobias Duha; Hanifah Nurul Muthmainah; Gentur Wahyu Nyipto Wibowo; Susatyo Adhi Pramono; Rizki Dewantara
Jurnal Scientia Vol. 12 No. 04 (2023): Education, Sosial science and Planning technique, 2023, Edition September-Nov
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v12i04.1943

Abstract

This study examines the percentage of illiterate individuals in 34 Indonesian provinces in 2022. This data is analyzed by segregating the percentage of the illiterate population by age, specifically 15 years, 15-44 years, and 45 years and older. The analysis begins by examining the percentage of 15-year-olds who are illiterate. Significant disparities exist between provinces, with Papua province having the highest percentage (18.81%) and North Sulawesi province having the lowest percentage (0.19%). Visualization of the data as tables and maps plainly demonstrates this distinction. Next, the analysis examined the percentage of the 15-44-year-old population that was illiterate. Papua province has the greatest percentage, at 15.06%, while North Sulawesi and Riau provinces have the lowest percentage, at 0.07% each. This comparison is also clarified by means of data visualization. Finally, data regarding the percentage of illiterate individuals aged 45 and older were analyzed. Again, the province of Papua has the highest percentage at 28.35%, while the province of North Sulawesi has the lowest percentage at 0.34%. In addition to tables and maps, the results of this analysis are also presented in tabular format. This data provides a clear picture of the level of illiteracy in various Indonesian provinces in 2022, and the results can be used to devise more effective education programs and more targeted solutions to combat illiteracy in Indonesia.
Big Data Analysis for Product Demand Prediction in Indonesian E-commerce Afifah Farhanah  Akadji; Rizki Dewantara
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.804

Abstract

The Indonesian e-commerce sector has witnessed exponential growth in recent years, necessitating effective strategies for predicting product demand to meet consumer expectations and stay competitive. Leveraging big data analytics offers a promising solution to this challenge, allowing businesses to harness vast volumes of data to forecast demand accurately. This research explores the utilization of big data analysis for product demand prediction in Indonesian e-commerce through a qualitative analysis approach. Interviews with e-commerce executives, data scientists, and industry experts revealed key themes, including data quality and integration, analytical techniques and tools, and organizational culture and capability. Results highlight the challenges, opportunities, and best practices associated with leveraging big data analytics for demand prediction in Indonesian e-commerce, providing valuable insights for businesses striving to optimize their predictive capabilities and enhance decision-making processes in this dynamic and rapidly evolving market.
Application of Interactive Learning Games in Stimulating Knowledge About Object Recognition in Early Childhood Arifin Arifin; Mohan Taufiq Mashuri; Nana Citrawati Lestari; Erwinsyah Satria; Rizki Dewantara
Educenter : Jurnal Ilmiah Pendidikan Vol. 2 No. 1 (2023): Educenter : Jurnal Ilmiah Pendidikan
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v2i1.528

Abstract

Teachers and parents must pay close attention to the golden age phase of early infancy since children's growth and development can occur swiftly during this time. In the early childhood learning process, it is crucial to transfer knowledge so that children can acquire information, including the introduction of objects into the child's environment. There are already a plethora of diverse, entertaining learning materials for young children. One of them is interactive learning media that emphasizes visual features to catch children's attention during the learning process. Based on the relevance of learning media in early childhood, the purpose of this research is to build interactive learning game media in order to promote comprehension and stimulate early children's ability to recognize the introduction of things. 93.3% of students like object recognition learning media and the Figures on the learning media, 80% of students can comprehend object recognition material and can answer according to choice, and 86.67 % of students stated that the terms of color, animation, audio, video, and text were feasible. So that this object identification learning material has an appealing visual design, is simple to use, and can be comprehended by pupils.
Analysis of the Impact of Mobile Application Implementation and Social Media on Increasing Tourist Visits in Yogyakarta Bekti Setiadi; Rahmi Setiawati; Margareta Manalu; Rizki Dewantara; Arnes Yuli Vandika
West Science Interdisciplinary Studies Vol. 2 No. 07 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i07.1114

Abstract

This study analyzes the impact of mobile application implementation and social media usage on increasing tourist visits in Yogyakarta using a quantitative approach. A total of 200 participants, selected through random sampling, provided responses on a Likert scale ranging from 1 to 5. Data were collected via structured questionnaires and analyzed using SPSS version 26. The findings reveal a significant positive correlation between the utilization of mobile applications and social media and the increase in tourist visits. The results suggest that enhanced digital engagement through these platforms can effectively boost tourism in Yogyakarta, providing valuable insights for stakeholders in the tourism industry to optimize their digital marketing strategies.
Pengaruh Kecerdasan Buatan dan Teknologi Pendidikan terhadap Peningkatan Efektivitas Proses Pembelajaran Mahasiswa di Jawa Timur Nanny Mayasari; Rizki Dewantara; Yocki Yuanti
Jurnal Pendidikan West Science Vol 1 No 12 (2023): Jurnal Pendidikan West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jpdws.v1i12.863

Abstract

Penelitian ini menyelidiki dampak kecerdasan buatan (AI) dan teknologi pendidikan terhadap efektivitas proses pembelajaran siswa di Jawa Timur. Analisis kuantitatif dilakukan dengan melibatkan 150 peserta dari berbagai tingkat pendidikan. Statistik deskriptif, analisis korelasi, dan pemodelan regresi digunakan untuk mengeksplorasi hubungan antara frekuensi penggunaan AI dan teknologi pendidikan, efektivitas yang dirasakan, dan faktor demografis. Hasilnya menunjukkan adanya korelasi positif yang kuat antara frekuensi penggunaan teknologi dan efektivitas yang dirasakan. Analisis regresi mengidentifikasi frekuensi penggunaan AI dan teknologi pendidikan sebagai prediktor yang signifikan terhadap peningkatan hasil belajar siswa. Studi ini menyoroti manfaat potensial dari peningkatan integrasi teknologi dan merekomendasikan perencanaan strategis untuk implementasi yang efektif. Penelitian kualitatif lebih lanjut direkomendasikan untuk mengatasi tantangan dan memastikan akses yang adil.
Co-Authors Abdul Samad Arief Afifah Farhanah  Akadji Agung Fatwanto Arifin, Arifin Arnes Yuli Vandika Bambang Sugiantoro Bekti Setiadi Cakranegara, Pandu Adi Fitri Anggraini Hanifah Nurul Muthmainah Irfani Zuhrufillah Jonathan Giovanni Margareta Manalu Mohan Taufiq Mashuri Nana Citrawati Lestari Nanny Mayasari Rahmi Setiawati Satria, Erwinsyah Siska Iskandar Susatyo Adhi Pramono, Susatyo Adhi Tienni Mariana Simanjorang Tobias Duha Wibowo, Gentur Wahyu Nyipto Widiawati, Wilda Yocki Yuanti