Article Per Year (5 Year)
p-Index From 2021 - 2026
7.156
P-Index
This Author published in this journals
All Journal Jurnal Simetris Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal Mirai Management JOIV : International Journal on Informatics Visualization JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) JURNAL ILMIAH INFORMATIKA Journal Information System Development Batoboh : Jurnal Pengabdian Pada Masyarakat IJISTECH (International Journal Of Information System & Technology) Jurnal Tekinkom (Teknik Informasi dan Komputer) IJISTECH Jurnal Puan Indonesia Jurnal Sains Informatika Terapan (JSIT) JUPADAI : Jurnal Pengabdian Kepada Masyarakat JURSIMA Jurnal Sistem Informasi dan Manajemen Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Sitohang, Sunarsan
Universitas Putera Batam
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

Published : 69 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 36 Documents
Search
Journal : Computer

 1   2   3   4 
PENERAPAN ALGORITMA NAIVE BAYES DALAM MEMPREDIKSI PENJUALAN MATERIAL BANGUNAN sandy, sandy; sitohang, sunarsan
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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

Abstract

Application of data mining in predicting sales of building materials PT. Tanjung Uncang uses Naïve Bayes by implementing it into the WEKA 3.9 application to predict sales of materials that are valid and unsold. In designing research designs, researchers need designs as instructions and directions for explanations starting from how to get data, process data and also the steps for completing data processing. The data mining technique uses the Naive Bayes algorithm from sales at PT. Tanjung Uncang which involves 186 building material sales data by influencing 12 variables, namely January, February, March, April, May, June, July, August, September, October, November, and December variables which have been calculated using the WEKA 3.9 application, obtaining 135 data. goods sold as much as 72,5806% and there were 51 data on goods that were not sold as much as 27,4194%. With the Naïve Bayes algorithm, it can help speed up sales data processing.
PENERAPAN SISTEM PAKAR BERBASIS WEB UNTUK DIAGNOSA PENYAKIT PADA IKAN LELE Gregorius Teheq Buyanaya, Gregorius Teheq Buyanaya; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 7 No 3 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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

Abstract

Freshwater fish cultivating business is one piece of the many types of business that open entryways with exceptionally enormous benefits where, this improvement is a method for raising and duplicate fish, and afterward the outcomes are gathered and sold or drank. The motivation behind this examination is to plan an electronic master framework in diagnosing catfish illness and the advantages of this exploration can add knowledge to the local area, particularly catfish ranchers, about how to develop catfish appropriately and accurately. This fish likewise catfish is a fish with various degrees of purpose, the review expressed that this fish is a side dish with the primary degree of purpose when contrasted with different sorts of side dishes. The strategy utilized in this examination is forward directing, which is a procedure to find or make ends in light of existing data or realities which then, at that point, prompts an end, then, at that point, attempted individually in an extraordinary condition. The aftereffect of this examination is to analyze sickness in catfish in light of the site utilizing HTML and PHP programming dialects. However, the plan utilized in this study has restrictions on issue ID, issue detailing, research targets for dissecting the information required, and delivering a specialist framework for diagnosing catfish illness in light of a site and ideally valuable for clients, specifically cultivators and conventional individuals.
SISTEM PAKAR DIAGNOSA PENYAKIT MATA GLAUKOMA DENGAN METODE TEOREMA BAYES Niati, Endang; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 7 No 5 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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

Abstract

Glaukoma is a disease in which eye pressure are abnormal or higher than normal causes damage to the opticnerve causing blindness that generally occurs in old age.but in the midst of the complexity, the lack of concern many people will eye health, prefer lifestyle and eating patterns that are instantaneous make eye disease glaukoma is currently sufferd by many yaoung people in the productive period.so increase the high eye diseases of glaukoma patients. Increased number of people with glaukoma eye dideases is dueto lack of knowledge about the symptoms of glaukoma eye disease, delay in handling and lack of experts or experts.so it takes the existence of an expert system to perform yhe diagnosis of glaukoma eye diases.user are asked to enter what symptoms are felt by the patient, then the system wil calculate the probality value of a disease and compare each probality of symptoms. Furthermore, the system will provide diagnostic result in the form of percentage, descriptions and treatment. This system is built on the web and implemented on the webserver . the percentage of system success l Keywords: Glaukoma,Expert System,Bayes Theorema.
ANALISIS PENERAPAN LEAN WAREHOUSING PADA PERGUDANGAN DI PT TDK ELECTRONICS INDONESIA Situmorang, Nopriadi; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 7 No 6 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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

Abstract

PT TDK Electronics Indonesia Terdapat permasalahan pada struktur gudang material yang dapat mengakibatkan banyaknya jenis waste di dalam gudang, antara lain waktu pencarian yang lama pada saat mencari material di gudang adalah 30 menit, waktu transit pada saat pengangkutan material ke gudang adalah 20 menit atau dari stok ke gudang dalam 10 menit dan waktu pengiriman saat menempatkan bahan ke gudang adalah 20 menit. Salah satu metode yang dapat digunakan untuk mengurangi pemborosan adalah pendekatan lean. Tujuan penerapan Lean adalah untuk menghilangkan pemborosan yang terjadi dalam proses produksi dan mengurangi biaya pemborosan. Untuk menggambarkan adanya persediaan bahan baku yang ditolak digunakan metode Value Stream Mapping. Setelah melakukan analisis pemborosan menggunakan Value Stream Mapping (VSM), identifikasi pemborosan yang ada, analisis akar penyebab dan penghilangan pemborosan menggunakan alat Lean dilakukan untuk perbaikan desain Direkomendasikan untuk manajemen inventaris. Hasil dari penelitian ini adalah waktu tunggu pengiriman dari supplier, waktu transit untuk membawa barang dari luar ke store, waktu tunggu bahan menunggu untuk dikirim. harus menunggu terlalu lama, waktu transit saat mengantri, waktu mencari bahan baku untuk kebutuhan produksi dan waktu transportasi saat memindahkan bahan baku dari barang ke bahan baku. pemohon. Usulan perbaikan store PT TDK Batam untuk mengurangi pemborosan yang terjadi antara lain penambahan material handling berupa gerobak dan tangga untuk mempersingkat waktu transit, modifikasi tata letak store, tata letak sebelum perbaikan Pemanfaatan ruangan = 77%, tata letak setelah perbaikan utilitas ruang = 37,11% dan memberikan label/coding pada setiap materi.
PENERAPAN SISTEM PAKAR MENDIAGNOSA KARAKTERISTIK PENYALAHGUNAAN NARKOBA BERBASIS WEB Arwin, elfani; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 8 No 4 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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

Abstract

Narkoba is an abbreviation for narcotics, psychotropics, and other addictive materials. Drugs themselves can be interpreted as artificial substances that affect the behavior, thoughts, feelings, and conditions of the consumer. Drugs or narcotics can also be interpreted as natural, semi-synthetic, or synthetic substances or drugs that can cause decreased consciousness, excitability, and hallucinations. These drugs cause addiction due to excessive use. The reason for using forward chaining is that many different methods and rules for drawing conclusions are very simple, and researchers want to draw conclusions from the truth. To overcome this problem, researchers use the forward chaining method, which allows them to find solutions based on symptom data selected by the user. The system built can provide suggestions in the form of diagnostic results and solutions based on the facts presented.
RANCANGAN SISTEM ABSENSI SISWA OTOMATIS BERBASIS SMART QR CARD MENGGUNAKAN ALGORITMA BCRYPT Renaldi, Encik Yoega; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 9 No 1 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i1.7410

Abstract

Various problems due to shortages in attendance are still implementing the system manual method so that the teacher feels that it has reduced flexibility in attendance. Following up on the problem, system changes must occur in order to support the attendance program. The system that was built applies some of the technology (internet of things) with a combination of hardware that functions to scan student cards of the Smart Quik Response Card type and web-based software for processing machine data with a MySQL database. The method of choice for software design is to apply bcrypt as password security at login to overcome breaches in attendance data. The results of this study built an automatic attendance system based on a smart quik response card. Based on testing by applying the blackbox method to accurately assess the attendance system that has been built, it gets a compatible score or runs smoothly for each trial feature. After experimenting with the implementation at the research location, it can be concluded that the process of absenteeism that occurs at school aims to make teachers more efficient and facilitate administration in using the application system to become disciplined and timely students.
PERANCANGAN SISTEM PAKAR DENGAN METODE FORWARD CHAINING UNTUK MENDIAGNOSIS PENYAKIT DIABETES BERBASIS WEB Sirait, David Arif Setiawan; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 9 No 2 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i2.7622

Abstract

Perkembangan komputer pada masa sekarang mengalami perubahan seiring dengan kebutuhan kehidupan manusia yang sangat semakin berkembang pesat dan kompleks. Pengetahuan tersebut telah menjangkau hampir semua kegiatan dalam aktifitas manusia yang tidak terlepas dari perangkat elektronik dalam sistem kinerja tak terkecuali pada bidang kesehatan. Bila di lihat dari aspek kehidupan, umumnya pada lingkungan masyarakat masih terdapat masyarakat yang menyepelekan atau remeh akan kesehatan dan penyakit sehingga tidak menjaga pola makan teratur dan berasumsi bahwa penyakit yang datang akan sembuh dengan sendirinya tanpa harus menemui dokter untuk melakukan pemeriksaan atau diagnosa. Selain menyepelekan penyakit sistem kegiatan mendiagnosis penyakit oleh dokter harus dilakukan secara langsung sehingga membuat bahan pertimbangan bagi masyarakat yang memerlukan waktu dan memerlukan biaya tambahan untuk melakukan pemeriksaan ke dokter. Salah satu penyakit yang sering menyerang dan sering di remehkan adalah penyakit Diabetes Melitus (DM) atau serig di sebut dengan Diabetes. Diabetes Melitus (DM) merupakan penyakit yang timbul akibat kurangnya produksi Insulin (hormon yang di produksi oleh pakreas yang mengatur tingkat glukosa) pada tubuh manusia. Penyakit ini merupakan suatu bentuk hambatan sistem kekebalan tubuh akibatnya menyebabkan peningkatan kosentrasi glukosa dalam darah (hiperglikemia) yang terbagi atas beberapa tipe. Sistem pakar merupakan suatu sistem dimana dapat menangkap dan memberikan informasi dengan menggunakan pengetahuan khusus serta metode pengambilan keputusan seperti para ahli pada bidang tertentu dan berisi tentang fakta-fakta untuk memecahkan masalah tertentu secara tepat sehingga menghasilkan keputusan sebagai kesimpulan layaknya berkonsultasi dengan seorang dokter. Forward Chaining merupakan metode yang menggunakan aturan kondisi-aksi dengan menggunakan sejumlah aturan yang dijalankan. Salah satu ciri dari metode ini ialah dengan cara melakukan penyimpanan pada media storage kerja, kemudian dialakukan pengulangan hingga menemukan hasil akhir sebagai keputusan kesimpulan. Dari penelitian yang telah dilakukan hasil yang telah dicapai adalah sebuah web yang dimana dapat berguna untuk mendiagnosis penyakit Diabetes dengan tipe 1, tipe 2 dan tipe 3.
ANALISIS POLA PEMBELIAN KONSUMEN MENGGUNAKAN ALGORITMA APRIORI Putri, Sartika Diana; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7889

Abstract

In order for sales transaction data to be useful and useful, data development or data mining methods are needed, especially in the use of the apriori association rule algorithm, in utilizing sales transaction data obtained from items purchased simultaneously by consumers when shopping. The data is used to find out items that are often purchased by consumers to increase their stock and reduce the stocking of goods that are not selling well. The data is also used by the store in arranging the placement of goods according to consumer behavior when shopping. Data retrieval with association rule is done through a mechanism with a minimum support of 0.17 and a minimum confidence of 0.60. The purpose of this study is to determine the results of analyzing transaction data that accumulates in clothing stores into useful information and to find out what items are bought simultaneously by consumers at clothing stores to manage inventory and can make it easier to arrange the placement of goods according to consumer interests based on the value of support and confidence. From the results of this study, items that have a relationship are Women's Tops and Men's Tops with a support value of 27.86% and a confidence value of 68.00%. This information can also be used to find out what items are in great demand and less in demand by consumers in determining what stock procurement should be prioritized in the future.
PENERAPAN DATA MINING DENGAN METODE NAIVE BAYES CLASSIFIER PADA PENJUALAN BARANG UNTUK OPTIMASI STRATEGI PEMASARAN Lubis, Kahfi Rama Putra; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7910

Abstract

Along with technological developments, market developments are also increasing rapidly and competition is starting to occur between entrepreneurs and business people, which requires entrepreneurs to take advantage of existing technology. At this time the Universal Homeware Store does not realize that this data can be processed effectively to find out the development of a business or business that is being run, besides that the procurement of goods that customers need is often unavailable. One of the data processing technologies is by applying data mining. Data mining is a form of extracting information from data that is large enough to obtain data patterns so as to produce information data that is useful for making decisions and increasing profits in developing marketing strategies. One of the uses of data mining is using the Naive Bayes Classifier algorithm. Naive Bayes Classifier is one of the existing algorithms in data mining which is used to deal with uncertainty problems by emphasizing the concept of probability of use and measuring the level of accuracy so that it can predict purchasing strategies from past sales analysis. with research results Using 36 data and with rapid minner tools produces an accuracy value of 80%
ANALISIS KEAMANAN JARINGAN PADA FASILITAS WIFI TERHADAP SERANGAN SNIFFING DI PT DUTA COMPUTER Silalahi, Putri Rosayanti; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 9 No 8 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i8.7954

Abstract

Technological developments and dependence on WiFi networks have brought many benefits in the business world, including at PT Duta Computer. However, network security is becoming a critical issue as cyber attacks become increasingly complex and sophisticated. One potential attack is a sniffing attack, in which the attacker tries to steal sensitive data that is sent over a WiFi network. This study aims to conduct an in-depth analysis of network security on WiFi facilities at PT Duta Computer against sniffing attacks. The results of this study are expected to provide deeper insight into the level of security of the WiFi network at PT Duta Computer and help companies to identify and address potential security vulnerabilities. By enhancing network security, PT Duta Computer can ensure that sensitive customer data and corporate information remain safe from sniffing attacks.
Co-Authors Abdul Hamid Abdul Razaq Fatta Utama Adeh Berydika Andi Maslan Anggiat Marubah Siringo ari purnama, ari purnama ARSYAD SUMANTIKA Arwin, elfani Azri Irawan Brilliant Hillary Sandy Daeli, Fonirius Dwi Saputra, Kevin Ganda Sirait Gregorius Teheq Buyanaya, Gregorius Teheq Buyanaya Halimah Tussa'Adiyah, Halimah Handoko, Koko Hotma Pangaribuan Hotma Pangaribuan IRWANSYAH Junellson Lase, Fanotona Lubis, Kahfi Rama Putra Manik, Yosep Pangihutan Martan, Martan Gelisa Halawa Marubah Siringo, Anggiat Maslan, Andi Mendrofa, Nober Six Salvanius Mohamad, Kamaruddin Malik Bin Muhammad Nur Sapi'i Mukhsinin, Nuriel Niati, Endang Pangaribuan, Hotma Putri, Sartika Diana rajagukguk, dormintang rajagukguk Renaldi, Encik Yoega Ricky rikson pandapotan tampubolon RIZKIANA, WIKI INDAH RIZKIANA Sabbram Agus Setiawan sam, samuel julianda berkat waruwu Sandy Sandy Saputra, Rios sari, anggi wijaya Setia Susilawati Setiawan, Sabbram Agus Silalahi, Putri Rosayanti Simanjuntak, Pastima Sirait, David Arif Setiawan Sirait, Ganda Siregar, Ivan Hengki Situmorang, Nopriadi Stevent Suharyanto, Cosmas Eko supianto supianto Supianto Supianto, Supianto Suranti Very Karnadi Very Karnadi Virginiawan, Virginiawan Zendate, Sabar Serius