Article Per Year (5 Year)
p-Index From 2021 - 2026
8.599
P-Index
This Author published in this journals
All Journal Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika IT JOURNAL RESEARCH AND DEVELOPMENT INTECOMS: Journal of Information Technology and Computer Science KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik dan Informatika Building of Informatics, Technology and Science Jurnal Mantik Jurnal Sains dan Teknologi Community Engagement and Emergence Journal (CEEJ) Jurnal Tekinkom (Teknik Informasi dan Komputer) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Darma Agung Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal Of Science, Technology & Management (IJSTM) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) Jurnal Fokus Manajemen Jurnal Minfo Polgan (JMP) Jurnal Nasional Teknologi Komputer Jurnal Pengabdian Masyarakat Gemilang (JPMG) Data Sciences Indonesia (DSI) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Best Journal of Administration and Management Jurnal INFOTEL Bulletin of Engineering Science, Technology and Industry
Sitorus, Zulham
UNIVERSITAS PEMBANGUNAN PANCA BUDI
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

Published : 75 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search
Journal : INFOKUM

 1 
ANALYSIS OF K-NEAREST NEIGHBOR METHODS IN DETECTING FAKE MONEY Vivin Yulfia Sarah; Zulham Sitorus; Zulfahmi Zulfahmi
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.076 KB)

Abstract

Money plays a very important role in human life. In the history of human civilization, money has played all the roles of paper money. Not only the symbol of the state, but also a tool that can unite one country to another. It has also become an economic management tool. The Indonesian government has an Indonesian bank that has appointed a printer that specializes in printing money. Only money issued by official and legal banks in Indonesia can be used as legal tender. This research is designed to identify and verify fake and genuine banknotes. This approach consists of several steps, including image acquisition and grayscale conversion, active contour, histogram, image extraction. This study uses banknotes of Rp. 100,000; as the object of research. The results of image processing that have been carried out, it can be concluded that to detect counterfeit money or the authenticity of banknotes can be done based on the watermark on the money which can be imaged using Matlab by performing computational digital image processing, namely grayscale conversion, active contour, histogram, image extraction. The accuracy results obtained from the evaluation of the authenticity of banknotes are 98.5%.
ALPHABETIC LETTER RECOGNITION APP FOR AUTISTIC STUDENT LEARNING USING FLASH MULTIMEDIA ON HOMESHCOOLING M.Rizki Khadafi; Melva Sari Panjaitan; Zulham Sitorus
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (732.687 KB)

Abstract

This study discusses how to teach children who have special abilities with the application of Macromedia Flash 8, Adobe Audition 1.5, Adobe Photoshop CS3 with the Software Development Life Cycle (SDLC) method by displaying Audio Visual. This study aims to assist in the learning process for autistic children so that they can recognize letters by utilizing computer technology. That way, autistic children can learn and recognize letters like normal children in general and can develop their talents
APPLICATION OF K-NEAREST NEIGHBOR METHOD IN CLASSIFICING THE RATE OF PAPAYA MURABILITY BASED ON FRUIT COLOR FORM Danu Wardhana Azhari; Zulham Sitorus; Zulfahmi Zulfahmi
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.132 KB)

Abstract

Papaya is a type of nutrient-rich fruit that offers many health benefits. The highest nutritional content in papaya is vitamin A. Papaya is also a climbing fruit that is usually harvested and distributed. In an immature state with different degrees of aging. The high public awareness of the importance of consumption of papaya fruit affects the increase in demand for papaya fruit and therefore supply. The K-NN algorithm produces an accuracy rate of 75% and error 25% with 3 attributes, 3 classes and 18 data for classifying. The results of the model carried out are quite good by looking at the resulting accuracy value, although it is not 100% perfect. The author hopes that further research will apply the same parameters to avoid missing values in pre-processing data. It is hoped that further research will be developed by applying this classification model with other and larger data
BUS TICKET PREDICTION DURING THE COVID PANDEMIC USING BACKPROPOGATION Mhd Arie Akbar; Zulham Sitorus; Zulfahmi Syahputera
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.953 KB)

Abstract

Buses are the most popular land transportation during the pandemic by the community, because using buses can save time compared to using sea transportation. Transportation using land routes in modern times is considered to be the most effective means. The bus ticket price itself is quite volatile, sometimes very expensive and sometimes very cheap because it depends on the price indicators that go up and down. The purpose of this research is to design a system that can predict the price of airline tickets early by using pattern recognition technology with Backpropagation by utilizing matlab software. In the prediction system there are only six input variables, so the researcher suggests that further research is expected to have more detailed input variables to be used as test data and target data because there may still be many indicators that cause bus prices to fluctuate. After knowing the indicators of rising and falling ticket prices, the next ticket must be done first. Initially, the indicators will be tested and tested to find out using the backropogation method. The results of flight ticket price predictions using an architectural network show that the proportion of similarity of each difference is able to improve the weighting of the hidden layer with the output of UP ticket prices. the indicators will be tested and tested to find out using the backropogation method. The results of flight ticket price predictions using an architectural network show that the proportion of similarity of each difference is able to improve the weighting of the hidden layer with the output of UP ticket prices. the indicators will be tested and tested to find out using the backropogation method. The results of flight ticket price predictions using an architectural network show that the proportion of similarity of each difference is able to improve the weighting of the hidden layer with the output of UP ticket price
COMPARISONAL ANALYSIS OF EUCLIDEAN, CANBERRA, AND CHEBECHEV DISTANCE MODELS ON KNN METHOD ON STUDENTS' VALUE Ragil Satya Adi W; Eko Hariyanto; Zulham Sitorus
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.557 KB)

Abstract

KNN has a significant influence on nonparametric methods in the form of classification, but the level of performance generally depends on the equilibrium point of the variable that is correlated with the far point. The distance between readings from the specified limit of the standard deviation value. KNN method. One of the instance-based learning groups is the K-Nearest Neighbor (KNN) method. Group search performed by KNN on new data objects or k objects in the test that is closest to the test data. KNN helps classify objects based on training data that is close to the object being tested. This study concluded that the Canberra Distance model produced the highest accuracy of 87.50% with an error value of 12.50% on the K-Nearest Neighbor algorithm.
FORECASTING MATERIAL INVENTORY OF PT INALUM (PERSERO) CARBON DEPARTMENT USING SINGLE EXPONENTIAL SMOOTHING METHOD WEB-BASED Aldi Kesuma; Zulham Sitorus; Wirda Fitriani
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (643.009 KB)

Abstract

An error occurred in recording material inventory, resulting in disruption of the aluminum production process at PT Inalum (Persero). In addition, orders that are not on time can also cause losses to PT Inalum (Persero), because the accumulation of too much material inventory will require a lot of working capital, this allows capital investment for other activities to be hampered, while the limited material inventory allows PT. Inalum (Persero) cannot meet the needs of its customers. The purpose of this study is to determine the amount of material inventory that must be provided by the Carbon Department of PT Inalum (Persero) in the next period. The method used in this study is Single Exponential Smoothing (SES) with the calculation of the error size, namely Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Perentage Error (MAPE. The results of this study indicate that the calculation of each material uses alpha 0.1 because the lowest percentage of MAPE values is at alpha 0.1 Material Petroleum Coke Low Sulfur has a MAPE percentage of 21.08%, Petroleum Coke High Sulfur has a MAPE percentage of 21.37%, and Diesel has a MAPE percentage namely 17.44%. s Department of Carbon (Persero) using the Single Exponential Smoothing method, it is known that the results of these calculations are the same
IMPLEMENTATION OF TEACHER AND STAFF ABSENCE SYSTEM AT ANDROID-BASED SCHOOLS Fahmi Kurniawan; Zulham Sitorus
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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

Abstract

Attendance is part of an important role in every institution, especially in educational institutions. Where attendance is one of the main supports to support and motivate every activity in it. As is the case with the PAB 5 Kelambir Lima Vocational School, which is currently still using the manual method, namely by handwriting. This method is very vulnerable for an educational institution because the level of discipline cannot be controlled and can be misused by irresponsible people. For this reason, it is necessary to have a digitization-based attendance system that utilizes an Android smartphone. With the existence of a digitization-based attendance system, it can provide performance achievements at the school. The system that will be built later is that every employee and teacher, if they want to be absent, must use a smartphone by sending a photo and being absent 100 meters from the workplace. Then the principal will check the attendance of teachers and employees every month.
Co-Authors , Arpan , Fery Anugerah A.A. Ketut Agung Cahyawan W Abdul Karim Afrizal, Sandi Akbar Maulana, Taufik Aldi Kesuma Alvian Alvian Ami Abdul Jabar Andi Ernawati Andysah Putera Utama Siahaan Angkat, Chairul Indra Antoni, Robin Ardya, Dwika Arief, Muhammad Arif Rahman Asyahri Hadi Nasyuha Aulia, Ananda Ayu Ofta Baehaqi Bambang Sugito Batubara, Supina Boy Rizki Akbar Br Tarigan, Sella Monika Chelfina Utami Daniel Happy Putra Danu Wardhana Azhari Darmeli Nasution DEWI SARTIKA diansyah, Suhar Eko Hariyanto Eko Hariyanto Eko Hariyanto Fahmi Iskandar Fahmi Kurniawan Farta wijaya, Rian Faza Wardanu Damanik, Dwi Gilang Ramadhan Gultom, Ananda Christianto H. Aly, Moustafa Hafiz Rodhiy Haliza, Siti Nur Hamzah, Iswadi Hartono Sinambela, Sugi Helmy, Ahmad Hendra Harnanda Heni Wulandari Hrp, Abdul Chaidir Ibezato Zalukhu, Anzas Ika Devi Perwitasari Indra Angkat, Chairul IQBAL , MUHAMMAD Irwan Syahputra Irwan Syahputra, Irwan Izhari, Fahmi Khairul Khairul Khairul, Khairul Kiki Artika Kurniawan, Fahmi Laila Maghfirah Larius Ambasador Parlindungan Leni Marlina Leni Marlina Limbong, Yohannes France M Imam Santoso M. Rasyid M.Rizki Khadafi Mardiah, Nia Marzuki Sianturi, Ismail Melva Sari Panjaitan Meri Sri Wahyuni Mhd Arie Akbar Mohammad Yusuf, Mohammad Muhammad Fahriza Muhammad Iqbal Muhammad Iqbal Muhammad Wahyudi Nahampun, Natalia Nainggolan, Andreas Ghanneson Nazar Saputra, Risfan Nelviony Parhusip Nurwijayanti Ofta Sari, Ayu Parhusip, Nelviony Pranoto, Sugeng Putra, Khairil Ragil Satya Adi W Ramadani, Pebri Ramadhan, Aditya Ramadhan, Deni Ramadhani, Aditya Rian Farta Wijaya Rian Putra, Randi Rika Uli Samosir, Siska Risky, Raihan Rusydi Tanjung , Miftah Sahputra, Fajar Said Oktaviandi Saputra, Maulian Sari Penjaitan, Melva Septiani, Nadya Sianturi, Ismail Sibarani, Dina Marsauli Simamora, Siska Simbolon, Fikri Zuhaili Simorangkir, Elsya Sabrina Asmita Sinambela, Sugi Hartono Sinyo Andika Nasution, Ahmad Sipra Barutu Siregar, Andree Risky Yuliansyah Sitepu, Fernando Sitinur, Siti Nurhaliza Sofyan Sitompul, Jelly Rolley Sofyan, Siti Nurhaliza Solly Ariza Lubis Sri Wahyuni, Meri Suhardiansyah Suhardiansyah Suhardiansyah Suherman Suherman Sukrianto, Sukrianto Sutiono, Sulis Syahputri, Maulisa Syamsiar, Syamsiar T, Siti Isna Syahri Tanjung, Miftah Rusydi Utama, Hendra Vina Arnita Vivin Yulfia Sarah Wahyu Agung Pratama Wahyuni, Meri Sri Wijaya, Rian Farta Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Wirda Fitriani Yahya, Susilawati Zalukhu, Anzas Ibezato Zulfahmi Syahputera Zulfahmi Zulfahmi Zulfahmi Zulfahmi