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All Journal JUITA : Jurnal Informatika JIEET (Journal of Information Engineering and Educational Technology) ILKOM Jurnal Ilmiah Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Informatika Global Jurnal Abdimas Mandiri Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Networks, Architecture and High Performance Computing Jurnal Generic RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Pengembangan Sistem Informasi dan Informatika Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal INFOTEL Jurnal Software Engineering and Computational Intelligence Journal of Intelligent Networks and IoT Global Impression : Jurnal Teknologi dan Informasi SISFOTENIKA Jurnal Ilmu Teknologi Informasi Indonesia (JITIFNA)
Nazori Suhandi
Fakultas Ilmu Komputer, Universitas Indo Global Mandiri
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PEMBANGUNAN GAME AYO TARIK BERBASIS ANDROID Masda Rahadian; Suzan Agustri; Nazori Suhandi
Jurnal Informatika Global Vol 6, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.123 KB) | DOI: 10.36982/jiig.v6i1.8

Abstract

Multimedia applications develops very rapidly, particularly in the smartphone sector. The use of smartphone now is not only used as a medium of communication course. Smartphone later used as a means of entertainment, one of which is to play games. The game has become one of appendages application in a smartphone, one of them based on android smartphone. Mobile games is a game that is designed and played by mobile devices, as PDA (Personal Digital Assistant), smartphone, tablet PC (Personal Computer), and portable media player. Their mobile advantage play games is portability, the players can play games wherever they want for they have mobile devices which are able to run mobile games. As one traditional games, pull mine has become a sport that are very popular in indonesia. As other traditional game, game pull mine is very known by almost all Indonesians and often contested besides on the commemoration of indonesia independence in august, this game is often performed on anniversary of the city so district or even in celebration of the large religion. Android has become an operating system mobile favorite users because ease still and many features that can be used to apply the game will be made. Metode the development of this game adopt methodology multimedia development or MDLC (Multimedia Development Life Cycle). But to achieve this is needed an application programming that could support the game, will use Adobe Flash CS6. Testing the system with black box and testing beta. The results of the tryouts system shows that application program that have been made considered able to categorized either as alternative media entertainment
Marketing Strategy Using Frequent Pattern Growth Nazori Suhandi; Rendra Gustriansyah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i2.1039

Abstract

The biggest problem faced by printing companies during the Covid-19 pandemic was that the number of orders was unstable and tends to decrease, which had the potential to harm the company. Therefore, various appropriate marketing strategies were needed so that the number of product orders was relatively stable and even increases. The impact was that the company could survive and continued to grow. This study aimed to assist company managers in developing appropriate marketing strategies based on association rules generated from one of the data mining methods, namely the Frequent Pattern Growth (FP-Growth) method. The case study of this research was a printing company where there was no similar research that used a printing company's dataset. This study produced nine association rules that meet a minimum of 25% support and a minimum of 60% confidence, but only two association rules that had a high positive correlation, namely for a custom paper bag and banner products. Therefore, several marketing strategies were suggested that could be used as guidelines for companies in managing sales packages and giving special discounts on a product. The results of this study are expected to trigger an increase in the number of product orders because this study tried to find the right product for consumers and did not try to find the right consumers for a product.
Pengembangan Antivirus Songket Untuk Virus H1N1 Dengan Metode Behavior Blocking Detection Nazori Suhandi
Generic Vol 4 No 2 (2009): Vol 4, No 2 (2009)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Seiring dengan pesatnya perkembangan penggunaan komputer sebagai alat bantu manusia di berbagai bidang kehidupan, virus di sisi lain merupakan ancaman bagi keamanan sistem komputer yang sudah tidak asing lagi. Untuk mengatasi masalah virus dibuatlah suatu aplikasi yang disebut antivirus. Sesuai dengan namanya, program antivirus mampu mendeteksi dan mencegah akses ke dokumen yang terinfeksi dan juga mampu menghilangkan infeksi yang terjadi, karena virus bukanlah sesuatu yang terjadi karena kecelakaan ataupun kelemahan perangkat komputer, melainkan merupakan hasil rancangan intelegensia manusia setelah melalui berbagai percobaan terlebih dahulu layaknya eksperimen – eksperimen ilmiah di dalam bidang lainnya. Aplikasi Antivirus Songket ini menggunakan metode Behavior Blocking Detection, yang menggunakan kebijakan yang harus diterapkan untuk mendeteksi keberadaan sebuah virus. Aplikasi ini dianalisa menggunakan state data diagram, dirancang menggunakan Model Sekuensial Linear dan diimplementasikan menggunakan bahasa pemrograman Visual Basic 6.0. Aplikasi Antivirus Songket ini diharapkan mampu memperkenalkan kebudayaan Palembang serta memberikan pengamanan pada sistem komputer.
Clustering optimization in RFM analysis Based on k-Means Rendra Gustriansyah; Nazori Suhandi; Fery Antony
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp470-477

Abstract

RFM stands for Recency, Frequency, and Monetary. RFM is a simple but effective method that can be applied to market segmentation. RFM analysis is used to analyze customer’s behavior which consists of how recently the customers have purchased (recency), how often customer’s purchases (frequency), and how much money customers spend (monetary). In this study, RFM analysis has been used for product segmentation is to be arrayed in terms of recent sales (R), frequent sales (F), and the total money spent (M) using the data mining method. This study has proposed a new procedure for RFM analysis (in product segmentation) using the k-Means method and eight indexes of validity to determine the optimal number of clusters namely Elbow Method, Silhouette Index, Calinski-Harabasz Index, Davies-Bouldin Index, Ratkowski Index, Hubert Index, Ball-Hall Index, and Krzanowski-Lai Index, which can improve the objectivity and similarity of data in product segmentation so that it can improve the accuracy of the stock management process. The evaluation results showed that the optimal number of clusters for the k-Means method applied in the RFM analysis consists of three clusters (segmentation) with a variance value of 0.19113.
Hierarchical clustering for crime rate mapping in Indonesia Rendra Gustriansyah; Juhaini Alie; Nazori Suhandi
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1135.275-283

Abstract

The Sustainable Development Goals (SDGs) are a blueprint for improving the human life quality. Goal 16 (G16) is related to security, and it is in line with the Universal Declaration of Human Rights and the Preamble to the 1945 Constitution. To support the implementation of the G16 achievement, the Indonesian National Police (Polri) has made serious efforts to provide a sense of safety for the community and to minimize crime rates. One of the efforts that could be made is to map areas based on the level of crimes so that the Polri can determine the appropriate strategy/priority of action for mitigation. Therefore, this study aimed to cluster provinces in Indonesia based on the four G16 indicators of the SDGs related to security, namely the number of homicide cases, the victim proportion, the proportion of people who feel safe walking alone in the area where they live, and the proportion of victims of violence that  reported to the police in the past year using five hierarchical clustering methods, namely: Single-Linkage, Average-Linkage, Complete-Linkage, Ward, and Division Analysis. Then, methods were validated and compared using six cluster validations to obtain the most compact method. The results showed that Ward's method outperformed the others and produced three clusters. Clusters 1, 2, and 3 contained 18, 5, and 11 provinces respectively.
Studi Pendahuluan Sistem Keamanan Parkir Berbasis Opencv Di Kampus Universitas Indo Global Mandiri Hastha Sunardi; Nazori Suhandi; John Roni Coyanda; Rachmansyah Rachmansyah
Jurnal Ilmiah Informatika Global Vol. 13 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i3.2693

Abstract

Indo Global Indo Global Mandiri University, is one of the universities in Palembang City which has a fairly large parking area, so it is necessary to have a concept of comfort and security for the academic community and also guests in placing their vehicles in the parking area within the IGM University Campus. This study tries to provide an alternative how to build a vehicle parking concept, especially cars, by detecting vehicle plates and who owns it, so that it can be known early on vehicles that enter an unknown parking area, so that it can be known whether guests are or are treated as people who are not clear. the goal. The research model was built using the Python Programming Language with the OpenCV (Open Source Computer Vision) library as an image processor which with a process or several stages can change the car license plate in the form of an image into a string (word), then by connecting it to the vehicle owner's database. In order to detect who owns the car that will park. The results of the preliminary research, by detecting the vehicle plate in the form of a car image, the results obtained that the area code and plate number can be detected, but other images are also detected. The results show that the plate number is detected as BG 1359 UJ, converted to BG' 13:19 Q UJ. There were 2 conversion failures, namely the number 5 was changed to :1 and the small white circle (bolt) was changed to Q.Keywords: Parking, Detection, Vehicle Plate and OpenCV
Penerapan Aplikasi Laboratorium Untuk Meningkatkan Kualitas Layanan Di Puskesmas Gandus Rendra Gustriansyah; Shinta Puspasari; Ahmad Sanmorino; Nazori Suhandi; Fery Antony
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 6, No 3 (2023): Juli 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i3.2425

Abstract

Abstract: The Public Health Center (Puskesmas) is a driving center for health-oriented development, empowering societies and families, and first-level health service is responsible for improving the quality of its services by delivering relevant, fast, and targeted information to achieve its vision and mission. Especially during the Covid-19 pandemic some time ago, the role of the Puskesmas laboratory as the frontline of the first-level health service center in examining Covid-19 symptoms and carrying out vaccinations is essential. Therefore, this community service activity aims to implement a web-based laboratory application at the Gandus health center to assist laboratory staff in completing, collecting, processing, and presenting data in a more structured, easy-to-read, timely, and accurate manner. The stages of the activity include interviews, discussions, patient data collection and laboratory examinations, application installation, and socialization of its use. This activity can improve the quality of laboratory services and add value to the accreditation of the Puskesmas.Keywords: application; laboratory; Public Health Center; service  Abstrak: Puskesmas sebagai pusat penggerak pembangunan berwawasan kesehatan, pemberdayaan masyarakat, keluarga dan tempat pelayanan kesehatan tingkat pertama bertanggung jawab meningkatkan mutu layanannya melalui penyampaian informasi yang relevan, cepat dan tepat sasaran kepada pasien, dalam upaya mencapai visi dan misinya. Terutama di saat pandemi Covid-19 beberapa waktu yang lalu, maka peran laboratorium di puskesmas sebagai garda terdepan pusat layanan kesehatan tingkat pertama dalam pemeriksaan gejala Covid-19 dan pelaksanaan vaksinasi menjadi penting. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk menerapkan aplikasi laboratorium berbasis web di puskesmas Gandus dalam upaya untuk membantu staf laboratorium dalam melengkapi, mengumpulkan, memproses, dan mempresentasikan data secara lebih terstruktur, mudah dipahami, akurat, dan tepat waktu. Tahapan kegiatan meliputi wawancara, diskusi, pengambilan data pasien dan pemeriksaan laboratorium, instalasi aplikasi, serta sosialisasi penggunaannya. Kegiatan ini dapat berkontribusi untuk meningkatkan kualitas layanan laboratorium dan menambah nilai akreditasi puskesmas.Kata kunci: aplikasi; laboratorium; layanan; puskesmas
APLIKASI PENGENALAN ANATOMI SISTEM PENCERNAAN PADA TUBUH MANUSIA MENGGUNAKAN TEKNOLOGI AUGMENTED REALITY Ratna Meilinda; Dewi Sartika; Nazori Suhandi
Jurnal Software Engineering and Computational Intelligence Vol 1 No 1 (2023)
Publisher : Informatics Engineering, Faculty of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jseci.v1i1.3043

Abstract

Natural Sciences (IPA) is a science related to human endeavors in understanding and finding out about the universe through precise observations and using procedures that can be explained by reasoning so as to get a clear conclusion. There are 5 main branches in Natural Sciences, namely Astronomy, Biology, Chemistry, Earth Sciences, and Physics. Science learning should be able to provide direct experience so as to increase the ability to understand and apply the concepts that have been learned. Anatomy is a branch of biology that deals with the structure of living things, in the anatomy of the human body, there are organs that support the formation of the body as a whole. The organs of the body such as bones, joints, skeletal muscles, brain, digestive system, and circulatory system and other organs. The digestive system is a process of mechanically and chemically breaking food into a form that is easier for the body to absorb. interactively in real time. The existence of technology in the form of Augmented Reality will facilitate the process of introducing information and displaying Anatomy Learning objects. This research aims to introduce anatomy to a digestive system in the human body using Augmented Reality technology which can facilitate students in the learning process. The software development method used to design and implement traditional musical instrument recognition applications is the Rational Unified Process method. Application testing is carried out using black-box testing and user testing. User testing was carried out by distributing questionnaires at SMP Negeri 2 Pedamaran Timur. Testing user satisfaction is calculated using a Likert scale and the results of questionnaire questions which can have a final score of 87% which is included in the strongly agree category
Prediksi Angka Kemiskinan Desa Kemang Bejalu Menggunakan Metode Naive Bayes Prediksi Angka Kemiskinan Desa Kemang Bejalu Menggunakan Metode Naive Bayes Arda Damayanti; Shinta Puspasari; Nazori Suhandi
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 3 (2024): RESOLUSI January 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i3.1498

Abstract

Poverty is one of the problems faced by all countries, especially developing countries such as Indonesia. To find out the extent of poverty in Kemang Bejalu Village, research must be carried out to determine the poverty rate in Kemang Bejalu Village using the Naive Bayes method. The Naive Bayes method is used to classify data and calculate the probability of poverty based on certain factors. This study aims to determine whether the accuracy of the results of the Naive Bayes method can be used in predicting poverty rates. So this confusion matrix calculation obtained an accuracy of 86% of 258 with data for 3 variables, while in testing new test data obtained an accuracy of 90% using the same variables (namely dependents, employment and income). Based on 2022 population data where the poor family is 33% while the well-off family is 67% which is used to produce a poverty rate of 76% of well-off families and 24% of poor families using a test size of 0.4. the prediction process for poverty in Kemang Bejalu village using the Naive Bayes method. So that it can be used by the Kemang Bejalu village government to make a decision.
The Housing Recommendation System Uses Multi-Criteria Decision-Making Methods Nazori Suhandi; Rendra Gustriansyah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2497

Abstract

Economic and population growth, increasing urbanization, changing habits, new welfare requirements, and lower interest rates have led to increased demand for housing in cities. However, housing conditions in many cities are slightly alarming, while housing is a primary need for the community. Selecting housing for low-income people (LIP) that meets the criteria required by LIP is not an easy task. Because most of the decisions people made did not utilize detailed information. Therefore, a recommendation system for LIP is required. This study aims to develop the housing selection recommendation system for LIP that best suits their wishes. This study integrated two multi-criteria decision-making (MCDM) methods: the Best Worst (BW) method, which has fewer pairwise comparisons compared to other MCDM methods for selecting criteria and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for determining housing recommendations for LIP according to their wishes. Based on the analysis results, ten criteria dominate the housing selection for LIP sequentially: Location, Land Size, Down Payment, Public Facilities, Price, Booking Fee, Home Design, House Specifications, House Quality, and Home Ownership Credit. Furthermore, the sensitivity analysis results showed that the robustness score of this approach was high. The model could recommend housing for LIP that best suits their wishes.
Co-Authors Ahmad Sanmorino Amalia, Marshanda Antony, Fery Apri Aidila Utami Arda Damayanti Ariesta Diana Putri Damayanti, Arda Destria, Abel DEWI SARTIKA Efri Ayu Kartika Putri Fery Antony Hastha Sunardi Imelda Saluza, Imelda Indah Charista Irma Yuliawati Jhons Fransdesker John Roni Coyanda Juhaini Alie Kanaka, Nayaka Al Syahreal Kris, Via Masda Rahadian Muhammad Haviz Irfani Putri, Alfina Elsa Putri, Meilany Aulia Rachmansyah Rachmansyah Ramadhani, Kiki Ramadhanti, Nur Fadhilah Ratna Meilinda Rendra Gustriansyah Sari Agnisa Sartika, Dewi Shinta Puspasari Shinta Puspasari Shinta Puspasari Sri Primaini Sunardi, Hastha Sunardi, Hastha Suzan Agustri Wiyanto, Ari