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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika IJID (International Journal on Informatics for Development) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Mantik Journal of Computer System and Informatics (JoSYC) Jurnal Scientia Educenter: Jurnal Ilmiah Pendidikan Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Krisnadana Journal of International Multidisciplinary Research
Dewantara, Rizki
Institut Teknologi Bisnis Dan Kesehatan Bhakti Putra Bangsa Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering 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.
Pemanfaatan Instagram Insight dalam Peningkatan Segmentasi Pelanggan pada UMKM Tenun Batik Efendi Efendi; Abdul Samad Arief; Rizki Dewantara; Pandu Adi Cakranegara; Ade Risna Sari
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 1 No. 3 (2022): Oktober : Jurnal Pengabdian Masyarakat Indonesia
Publisher : Politeknik Pratama Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (422.999 KB) | DOI: 10.55606/jpmi.v1i3.378

Abstract

The batik business is engaged by Micro, Small, and Medium Enterprises (MSMEs). In marketing products, there are still MSMEs that use word of mouth (WOMM) in marketing techniques and use WhatsApp communication. Media such as SMEs in the field of batik weaving fashion Muhibbuddiana. This service activity is intended to assist in the use of Instagram in marketing and selling products online, from creating Instagram accounts and product documentation to posting content, as well as analyzing Instagram insights to find out the most popular posts, follower and non-follower interactions, and increase in the number of followers. The activity results show the effect of the ease of using social media on promotion and sales, the impact of using social media to increase sales turnover, and the importance of understanding Instagram insight for customer segmentation.
Implementasi Metode Preference Selection Index Dalam Penentuan Jaringan Dan Pemanfaatan Internet Pada Provinsi Indonesia Rizki Dewantara; Pandu Adi Cakranegara; Ahmad Jurnaidi Wahidin; Arianto Muditomo; I Gede Iwan Sudipa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.527

Abstract

The era of digital society is strongly supported by the development of information and communication technology, along with the use of the internet by the community, making the digital era help every community activity. The progress of internet development in Indonesia cannot be separated from the distribution of network infrastructure in all urban (urban) and rural (rural) areas in all provinces in Indonesia. Based on data from the Central Statistics Agency (BPS) for the period 2017 - 2020, this study aims to determine which of the 34 provinces in Indonesia are provinces that have a strong and stable internet network in urban and rural areas, as well as regions in Indonesia whose people are significantly utilizing the use of the internet in their daily activities in both urban and rural areas. The selection process uses eight assessment criteria from aspects of the expansion and distribution of internet network quality and internet utilization for rural and urban communities in the province of Indonesia. In this study, the method of solving the problem of multi-criteria decision-making is the Preference Selection Index (PSI) method. The results of the final calculation of the PSI method from 34 alternatives determine the five best provinces for expanding the internet network and internet utilization in 2020, namely the alternative provinces of Central Java, West Java, East Java, South Sumatra, and Aceh.
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.
Android Implementation of Traditional Indonesia Fashion Application Tukiyo Tukiyo; Ardian Arifin; Rizki Dewantara; Ratnadewi Ratnadewi; Julaiha Probo Anggraini
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2023): Articles Research Volume 8 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11999

Abstract

Indonesia has been gifted with a wide range of diverse cultures from Sabang to Merauke, making Indonesia one of the biggest country with multi ethnic groups, races and cultures. Meanwhile, a lack of information that can be accessed by the students causing a big issue that needs to be addressed. The information of Indonesian traditional clothing is very limited, which has been represented as a characteristic of tribe and culture in each region and also used in the traditional ceremony. Therefore, this study aims to develop an Android-based educational game of traditional Indonesian clothing. The method used in this study was Research and Development approach. The results of this study showed that developing an educational game "Introduction to Traditional Clothing in Indonesia" on the Android platform,that provided information to users about any traditional musical instruments in Indonesia, helped students to recognize the particular culture through its traditional clothing as it could give an insight to them. From the results of testing carried out with the black box method, it could be concluded that this application enabled to function well and provide the beneficial information to user about the traditional clothing.
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.
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.
Co-Authors Abdul Samad Arief ADE RISNA SARI Agung Fatwanto Ahmad Jurnaidi Wahidin Arianto Muditomo Arifin, Ardian Arifin, Arifin Bambang Sugiantoro Cakranegara, Pandu Adi Efendi Efendi Erwinsyah Satria Fitri Anggraini Hanifah Nurul Muthmainah I Gede Iwan Sudipa Irfani Zuhrufillah Jonathan Giovanni Julaiha Probo Anggraini Mohan Taufiq Mashuri Nana Citrawati Lestari Ratnadewi . Siska Iskandar Susatyo Adhi Pramono, Susatyo Adhi Tienni Mariana Simanjorang Tobias Duha Tukiyo Tukiyo Wibowo, Gentur Wahyu Nyipto Widiawati, Wilda