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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah Sinus Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknik Informatika prosiding seminar nasional Innovative: Journal Of Social Science Research Journal Emerging Technologies in Education

Iwan Ady Prabowo

STMIK Sinar Nusantara

Author-ID : 3220813

Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Perancangan Aplikasi Mobile Berbasis Android untuk Meningkatkan Promosi Produk pada CV Putra Nugraha Hendro Wijayanto; Bayu Dwi Raharja; Iwan Ady Prabowo
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 12, No 3 (2021): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v12i3.7248

Pemasaran merupakan salah satu kunci utama sebuah perusahaan dalam mengenalkan produknya. Di era transformasi teknologi informasi ini menuntut perusahaan bergerak cepat mengikuti perkembangan teknologi informasi. Khususnya dibidang pemasaran. CV Putra Nugraha merupakan salah satu perusahaan yang bergerak dibidang percetakan buku maupun majalah dalam skala kecil sampai besar. Perusahaan tersebut telah memiliki official website sebagai sarana untuk mengenalkan produknya ke konsumen. Hanya saja era saat ini perkembangan teknologi web mulai bergeser ke teknologi mobile. Beberapa aktifitas informasi katalog, pemesanan dan lainnya lebih mudah diakses dengan perangkat mobile. Sehingga perlu adanya tambahan teknologi alternatif untuk mendukung official website. Teknologi ini berupa aplikasi mobile berbasis Android. Dalam pembuatan aplikasi mobile berbasis Android ini dilaksanakan dengan tiga tahapan, yaitu: pengambilan data, perancangan, dan sosialisasi serta implementasi. Hasil akhir yang diperoleh adalah terbentuknya aplikasi Android yang dapat diakses lewat Google Playstore. Selain itu juga meningkatkan promosi produk dari CV Putra Nugraha. Dimana dengan naiknya promosi produk akan dapat meningkatkan jumlah pendapatan dari CV Putra Nugraha.

Cybersecurity Vulnerability Behavior Scale in College During the Covid-19 Pandemic Hendro Wijayanto; Iwan Ady Prabowo
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 3 (2020): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v9i3.1021

The penetration of Indonesian internet users in first quarter of 2020 has increased by 17 percent compared to 2019. Based on Google Consumer Barometer in 2018, many 79% of Internet users in Indonesia use the internet on a daily basis. During the Covid-19 Pandemic, universities had to do Study From Home and Work From Home. This resulted, use of information technology and computers also increasing. This increase will have an impact on the level of cybercrime vulnerability. The scale of cyber vulnerability is needed to measure level of cybersecurity in universities, especially in data managers. There are five scales, Very Safe, Safe, Vulnerable, Very Vulnerable, and Dangerous. Where the scale is used in negative and positive statements. The measurement results show an average value of 3.3 or a vulnerable scale. Total average value of negative statements is 2.53 or scale close to vulnerability. So it is necessary to socialize the importance of cybersecurity to minimize occurrence of cybercrime.

Sistem Pakar Diagnosa Penyakit Avian Influenza Pada Bebek Menggunakan Metode Certainty Factor Arief Gilang Ramadhan; Teguh Susyanto; Iwan Ady Prabowo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 2 (2019): Jurnal TiKomSiN, Vol.7, No. 2, 2019
Publisher : STMIK Sinar Nusantara

Ducks are widely farmed poultry animals, because of its large population, the disease is also caused a lot. In avian influenza disease is an infectious animal disease caused by a virus and can infect humans. Avian invluenza is also a cause of decreased quality of meat and eggs, can even cause death in ducks. Disease in ducks is difficult to know because people have no prior experience. Communities and breeders find it difficult to take appropriate action on ducks affected by avian influenza so that they can be fatal. During 2012 - 2017 there were 1856 cases of bird flu in Indonesia. In October 2017 there were 3 cases of avian invluenza. Where 900 ducks died. From the explanation above, an expert system is needed to diagnose avian influenza. This system can help ordinary people and farmers who do not have experience in dealing with avian influenza. Disease data and symptoms of avian influenza that will be entered into this expert system can be obtained from interviews with experts and see references of knowledge about duck symptoms. So that this expert system can help in dealing with AI disease. In testing the validity, the calculation of the system manually and from expert diagnosis are the same. So that this application is feasible to use for the community and breeders.

Klasifikasi Pemain Futsal Menggunakan Metode Simple Multi Attributte Rating Technique (SMART) Agus Budhi Marendra; Didik Nugroho; Iwan Ady Prabowo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 6, No 2 (2018): Jurnal TIKomSiN
Publisher : STMIK Sinar Nusantara

The development of futsal sports is currently very rapid. This can be seen from the many futsal clubs that have sprung up with very many members with the same average ability, making it difficult for a coach to determine the first team in the club. One of the uses of information technology is the use of a player's classification system for determining the main team in a futsal club. The method used to classify futsal players is a simple multi-attribute algorithm rating technique is chosen because this method can solve with many criteria or multi attributes besides that in this method also has a direct weighting technique that is more flexible because the user can change the criteria weight according to the level the desired interest, and this method will be applied to determine the players who registered in the recruitment of players who will enter the team and determine the core and reserve teams that will be brought to a competition. The data used in testing this system amounted to 30 player data obtained from the club's routine training. The results of manual data calculations with system calculations using the Simple Multi-Attribute Rating Technique (SMART) algorithm are the same results.Keywords: Futsal, Recruitment, Simple Multi-Attribute Rating Technique (SMART)

Application Of Fuzzy C-Means Clustering for Mapping Agent Iwan Ady Prabowo; Yohan Alief Rizaldy; Sri Siswanti
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 2 (2021): Jurnal TiKomSiN, Vol. 9, No. 2, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i2.568

Strict business competition in the field of mountain equipment providers and selling the same product makes the mapping of onsight agents needed to determine the priority of agents prioritized. Fuzzy C-means is one of the data grouping techniques in which the existence of each data point in a cluster is determined by the level of membership. The purpose of this study is to design and make applications for grouping agents. The research method used is direct interview to obtain information in the form of ordered item data. The design model uses the System Development Life Cycle (SDLC). The system design method used is the Unified Modeling Language (UML). Agent mapping system with web-based fuzzy c-means clustering uses the PHP and MySQL programming languages as the database. The results of this study are in the form of three data clusters that can be used to support decisions for priority and from 30 data agents, the first cluster consists of 15 agents, the second cluster consists of 1 agent, and the third cluster consists of 14 agents

AUGMENTED REALITY GROUND MARSHALL AIRPLANE BERBASIS ANDROID Dwi Remawati; Iwan Ady Prabowo; Tulus Wahyuno
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 1 (2020): Jurnal TiKomSiN, Vol.8, No. 1, 2020
Publisher : STMIK Sinar Nusantara

Many people do not know the figure of a ground marshall, the task is simple but very important, so that it becomes an interesting student learning material that is how a ground marshall can park a plane requires more interactive and communicative teaching and learning facilities, so students can more easily understand the material. Augmented Reality is one of the innovative and creative new learning methods because it uses technology that can provide visualization to Marshalling Signals that are not well-known by users, so application users will get information while developing user imagination. the results with the questionnaire from respondents, after testing the application, the application is the best application according from respondents with an average value 92.7% while the first application is only 88.6%. Keyword : Ground Marshall, Augmented reality, Marshalling Signals

Clustering Potensi Susu Sapi Perah Di Kabupaten Boyolali Menggunakan Algoritma K-MeansK-MEANS Riski Lunika Parmawati; Iwan Ady Prabowo; Teguh Susyanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 1 (2019): Jurnal TiKomSiN
Publisher : STMIK Sinar Nusantara

Based on data of dairy milk cow in Animal Farms of Boyolali District, only shows the total amount of dairy milk cow in Boyolali District. So that Animal Farms of Boyolali District does not know which areas produce dairy milk cows with large numbers or small. Therefore, an algorithm is needed to facilitate the grouping of potentially dairy milk cow based on milk production data (liter), number of female dairy cows (how many), number of owners and year of production. In this research, using the K-Means algorithm is used to the grouping of potential dairy milk cow producing areas. By using K-Means aims in facilitating the classification of an area that has the greatest potential dairy milk cows, medium and small. The result is an illustration that shows the regional grouping based on dairy milk cow yields, which are 13 districts that have a potency of dairy milk cow (cluster1), 28 districts that have medium potency dairy cows producing (cluster2), and 28 districts less potential dairy milk cows (cluster3). For further research could be carried out the excavation process variation data variables that clustering results produced can be maximized.Keywords: K-Means algorithm, clustering, data mining, dairy milk cows

SISTEM PENDUKUNG KEPUTUSAN PENANGANAN PASIEN UGD MENGGUNAKAN METODE FUZZY MULTIPLE ATTRIBUTE DECISION MAKING DENGAN SIMPLE ADDITIVE WEIGHTING PADA PUSKESMAS GAJAHAN SURAKARTA Riza Riza; Muhammad Hasbi; Iwan Ady Prabowo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 6, No 1 (2018): Jurnal TiKomSiN
Publisher : STMIK Sinar Nusantara

In the Public Health Center, the handling of patients of the Emergency Unit is classified as not much happening because now many hospitals are ready to handle all forms of patient complaints. At the Public Health Center, the handling of patients in the Emergency Unit occurs only for mild illness and with outpatient treatment. To decide the condition of the patient should be treated in the room or should be referred to what hospital, the Center for Public Health has not been able to determine it so that for regular referrals addressed directly to a fully equipped hospital. The number of hospital types and the poor condition of the patient makes the decision making must be clear and appropriate to the actual patient condition. To overcome these problems, the authors make an application decision system with FMADM SAW method to determine where the patient should be handled further, surgery, ICU, road or hospitalization, a referral must be in accordance with the condition of the patient. The method used in the form of data analysis methods in the form of data collection techniques, data types, and system design. This application also has advantages in making report analysis results that can be done quickly and easily. To facilitate the implementation of the system, the authors limit the problem only on the problem of determining the purpose of treatment alone. The system that the author designed the decision-making system with FMADM SAW method. The result of analysis and design in the form of decision support system of patient handling of new Emergency Unit with computer-based and application of FMADM SAW method. The tested system will produce patient data information and result of decision support process of patient handling. From another process is given a form of separate data collection process according to the needs of the process of supporting patient handling decisions and considered feasible if the process is stored completely. It is hoped that this system can assist the Public Health Center admin in dealing with Emergency Room patients.Keywords: Decision Support System, Emergency Room, FMADM (SAW), Public Health Center

Kombinasi Transaksi Penjualan (Merk Beras) Menggunakan Algoritma Apriori (Studi Kasus di UD. SRD) Iwan Ady Prabowo; Wawan Laksito Yuly Saptomo; Nungky Kurnia Candra
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.543

UD. SRD is an individual company that produces and sells rice with various brands. UD. SRD is an individual company that produces and sells rice with various brands. Rice brands sold include C4 Kelapa, C4 Raja, C4 Merak, Nogo Hitam, Nogo Merah, Nogo Hijau, Pandan Wangi, Mentik Wangi and Rojo Lele. In processing sales data is still done manually that is only using notes or receipts, so the data only serves as an archive. In this study, the data amounted to 404 rice sales transactions from January to September 2016. The purpose of this research is the creation of Apriori algorithm system to predict combination of rice brand in sales transaction in UD. SRD so as to help the company know the sales of the most frequently purchased rice brands simultaneously. The result of combination rice brand is getting using Apriori Algorithm which supported minimum 30% and confidence minimum 70%. It appears from thus statements "If buy C4R, it will buy C3M with 51.54% support and 77.31% confidence", "If buy MW , It will buy C4M with the value of support 48.27% and the value of confidence 79.92% "," If buy C45 and C4M, it will buy MW with the value of support 32.43% and the value of confidence 71.20% "and" If buy MW and C4R , It will buy C4M with the value of support 32.43% and the value of confidence 82.91%".

Klasifikasi Tingkat Gangguan Tidur Menggunakan Algoritma Naïve Bayes Iwan Ady Prabowo; Dwi Remawati; Aji Pratama Wisnu Wardana
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.519

The Sleep disorder sometimes happens to someone unconsciously. Many health worker need a lot of time to detect the cause of sleep disorder, it is because there are some similar type of sleep disorder. The public health center in Karangmalang Sragen is needed a system to help the health workers to analyze the cause of sleep disorders. The aim of this research is to make a system to analyze the cause of sleep disorder by using the Naïve Bayes method. This research is conducted on Integrated Healthcare Center especially for the elderly in kedungwaduk. This research chooses the Naïve Bayes method to analyzing the type of sleep disorder experiences happen by the patient. The types of sleep disorders that used in this study were insomnia, hypersomnia, narcolepsy, sleep terror, disturbed sleep schedules and nightmares. The result in this study is patients can get solution about their sleep disorder, and also it can reduce the bad effect for the patient. The validation result of the Naïve Bayes method showed that 80% data was accuracy and it will be compared between 10 data from diagnostic test and 30 testing data.Keywords : Sleep disturbance, diagnosis, naïve bayes

Co-Authors Abdul Halik Agus Budhi Marendra Aji Pratama Wisnu Wardana Andi Hamsiah Antonius Rino Vanchapo Arief Gilang Ramadhan Bayu Dwi Raharja Bela Septiana Didik Nugroho Dwi Remawati Fryda Fatmayati Hendro Wijayanto Hendro Wijayanto Indrawan Ady Saputro Lilis Wulandari Mas’ud Muhammadiyah Muhammad Hasbi Nofri Yudi Arifin Nungky Kurnia Candra Pahmi Pahmi paulus harsadi Riski Lunika Parmawati Riyan Abdul Aziz Riza Riza Saptomo, Wawan Laksito Yuly Setiyowati Sri Siswanti Sujud Aji Wantoro Teguh Susyanto Tulus Wahyuno Wahyudi Wahyudi Wawan Laksito YS Yohan Alief Rizaldy Yustina Retno Wahyu Utami

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