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All Journal Jurnal Media Infotama Jurnal Sains dan Teknologi Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) MEANS (Media Informasi Analisa dan Sistem) Jurnal Manajemen Informatika Jayakarta Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Journal of Vision and Ideas (VISA) EXPLORER Bulletin of Multi-Disciplinary Science and Applied Technology Archive: Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Teknologi Komputer Sci-Tech Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Jurnal Penelitian Teknologi Informasi dan Sains Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi International Journal of Information Engineering and Science
Buaton, Relita
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Jaringan Saraf Tiruan (JST) Memprediksi Penjualan UMKM Kota Binjai dengan menggunakan Metode Backpropagation Sherly Eka Wahyuni; Relita Buaton; Suci Ramadani
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.214

Abstract

The development of information technology that is currently developing serves to facilitate, accelerate, benefit and provide other alternatives for people who have businesses and have a big influence in the future. One of the things that is very influential is the sale of MSMEs. MSMEs are productive businesses owned by individuals or business entities that have met the criteria as micro businesses that have an important role in the economy because they provide employment, encourage local economic growth, and create innovation. MSMEs still face challenges such as limited access to financing, digital readiness, and marketing access that hinder the development of MSMEs. Therefore, it is necessary to take action to predict MSME sales in Binjai City using the backpropagation method so that later it can create new innovations and encourage community economic growth. Based on the process carried out using the backpropagation method, it can be seen that the value obtained has reached more than the predetermined target with a target value (t) of 0.26, learningrate 0.2, maximum epoch 10000 target error 0.01.
PENERAPAN METODE APRIORI UNTUK MENGIDENTIFIKASI POLA PENGHAPUSAN ASET PEMERINTAHAN KOTA BINJAI Sihombing, Novena Putri Antonia; Buaton, Relita; Selfira
Jurnal Informatika Kaputama (JIK) Vol 9 No 2 (2025): Volume 9, Nomor 2, Juli 2025
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v9i2.1144

Abstract

Government assets are essential components for supporting operational performance and public services. Over time, some assets depreciate and require removal to avoid unnecessary budget burdens. However, asset disposal processes in government institutions are often still manual and not data-driven, which can lead to inefficiencies. This study aims to apply the Apriori algorithm to discover asset disposal patterns in the Binjai City Government. The data used includes asset attributes such as Regional Government Organizations (OPD), Item Type, Age, Brand/Type, Material, and Acquisition Method. The method employed is data mining with the Apriori algorithm, and the analysis is supported by the RapidMiner tool. The results reveal strong associative patterns among specific asset attributes that tend to be disposed of, such as assets over 10 years old, made of synthetic materials, and acquired through purchase. Identifying these patterns facilitates more efficient, transparent, and objective decision-making in asset disposal. This research contributes to the development of data-driven asset management systems and supports bureaucratic reform in local government institutions. Keywords: Data Mining, Apriori Algorithm, Asset Disposal, Local Government, RapidMiner
Grouping of Student Learning Interest Data after the Pandemic at SMK Abdi Negara Binjai Using the K-Means Algorithm Clustering Method Ivan Candra Dinata; Relita Buaton; Novriyenni
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.988 KB) | DOI: 10.55227/ijhet.v1i3.75

Abstract

The online learning system is a learning system without face to face directly between teachers and students but is carried out online using the internet network. This is in accordance with the regulation of the Minister of Education and Culture of the Republic of Indonesia regarding Circular Letter Number 4 of 2020 concerning the Implementation of Educational Policies in the Emergency Period for the Spread of Corona Virus Disease (COVID-19). Abdi Negara Vocational School is one of the schools in Binjai City that carries out offline and online learning for its students, learning began in March 2020 when COVID-19 began to hit Binjai City. The COVID-19 pandemic has had many impacts on the state of society, one of which is in the field of education. All educational institutions are trying hard to maximize their respective ways of learning according to the circumstances of their students. Abdi Negara Vocational School which follows government regulations through the Minister of Education and Culture of the Republic of Indonesia also carries out online learning, with the aim that teachers, staff and students are not infected with COVID-19 and can break the chain of spreading the virus. With these conditions, SMK Abdi Negara Binjai needs to build a system that can classify student learning interests, so that it can be used as material for consideration and evaluation of student learning outcomes. Data grouping can apply the Data Mining process with the K-Means algorithm Clustering method which is a process of processing very large amounts of data using statistical, mathematical methods, to utilizing Artificial Intelligence technology to produce a data group. The system is designed with the MATLAB R2014a programming application, after testing with the system the results are that in group 1 there are 836 data, group 2 there are 178 data and group 3 there are 91 data with a total of 1105 student data from the questionnaire results on August 31, 2022 .
Use of internet of things (IOT) on fish feeding tools with nodemcu Khairul, Habib; Buaton, Relita; Syahputra, Siswan
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1216

Abstract

In everyday life whether in the city or in the countryside, there are lots of fish keepers in both large, medium sized ponds or small ones. Raising fish is an activity people who are very popular from the past until now, because ease of maintenance and care that makes most people want to cultivate fish. Fish kept in considered pond must give time to feed so that the fish requires a regular and continuous feeding schedule. ESP8266 NodeMCU is an integrated chip component that designed for today's connected world. these chips offers a complete, unified Wi-Fi networking solution that can used as an application provider or to sell all functions Wi-Fi networking to other application processors. One of its uses namely as an Automatic Fish Feeder Using ESP8266 Based on the Internet of Things (IOT). By using the components of the tool above as well as some supporting software When the tool runs, the fish feeder can automatically work in accordance with the schedule options that have been previously arranged, and capable displays data to web pages in the form of notifications when feed has been given and when the reservoir is empty or exhausted.
Application of Apriori Algorithm in Determining Behavioral Patterns and Lifestyle of GERD Patients pramudhita, chika; Buaton, Relita; Sitompul, Melda Pita Uli
International Journal of Informatics, Economics, Management and Science Vol 3 No 2 (2024): IJIEMS (August 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i2.1593

Abstract

Gastroesophageal Reflux Disease (GERD) is a condition of reflux of stomach contents into the esophagus which can cause typical symptoms such as heartburn (burning in the epigastric region), acid regurgitation (bitter taste in the mouth), nausea, and dysphagia which can result in damage to the esophageal mucosa and in the long term can cause complications such as Barrett's esophagus. Based on data on patients with GERD disease in 2020-2023, there were 521 patients obtained at Bidadari Binjai General Hospital, with differences in prevalence caused by socioeconomic and lifestyle changes that can increase the incidence of GERD. The purpose of this study is to obtain the results of the combination between item-sets on the behavior patterns and lifestyles of GERD sufferers which are expected to help the agency in processing data on GERD sufferers into more effective information to determine the behavior patterns and lifestyles of GERD sufferers with the Apriori Algorithm method. From the research conducted, the results obtained rules that meet the value of 30% support and 100% confidence, if unhealthy eating patterns are often late eating, then unhealthy lifestyles are often done sleeping after eating and smoking.
Student Character Grouping Based on Six Dimensions of Pancasila Student Profile Using Clustering Method (Case Study of SMK Swasta Setia Budi Binjai) Zuliani, Zuliani; Ramadani, Suci; Buaton, Relita
International Journal of Informatics, Economics, Management and Science Vol 2 No 2 (2023): IJIEMS (August 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v2i2.1202

Abstract

Character education is one of the important aspects in developing students into individuals with integrity, ethics, and responsibility. Pancasila as the foundation of the Indonesian state has a central role in shaping students' character. This study aims to categorize student character based on six dimensions of the Pancasila learner profile at SMK Swasta Setia Budi Binjai. The six dimensions of the Pancasila learner profile that are the focus of this study include: 1) Faithful, Devoted to God Almighty and Noble, 2) Global Diversity, 3) Mutual Cooperation, 4) Independent, 5) Creative, 6) Critical Reasoning. The clustering method is used to group students based on the Pancasila learner profile measured through questionnaires distributed to subject teachers. The collected data will be analyzed using relevant clustering algorithms to identify the pattern of student characters present in the school population. This research is expected to provide deeper insight into the character of students at SMK Swasta Setia Budi Binjai based on Pancasila values. The results of this study are expected to be the basis for the development of a more effective character education program that focuses on strengthening the values of Pancasila in an effort to produce a young generation with strong character, love for the country, and contribute positively to society and the nation.
Application of the Monte Carlo Method in Modeling and Simulation of Service Queuing Systems at PT. Pos Indonesia Persero Binjai Yusrina, Eli; Buaton, Relita; Prahmana, I Gusti
International Journal of Informatics, Economics, Management and Science Vol 2 No 2 (2023): IJIEMS (August 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v2i2.1181

Abstract

Queues are events that we often encounter in various places that provide services to the public, one of which is the Post Office. Service to customer satisfaction is a very important thing, so that improving the quality of customer service must always be done. A good queuing system will affect consumer behavior and satisfaction. PT. Pos Indonesia Persero Binjai is a service company where the purpose of PT. Pos Indonesia (Persero) itself is customer satisfaction oriented. The problems that occurred at PT. Pos Indonesia Persero Binjai caused long queues to build up in queues. To overcome these problems, it is necessary to improve the system such as applying the queuing model application by applying the queuing model method and Monte Carlo simulation. Monte Carlo is a probabilistic simulation method that generates random input to mimic the existing conditions of a problem by estimating the same distribution and in accordance with reality. So that with the improvement of the system, the application of the queuing model can be applied, directing customers to take queue numbers, and monitoring the queue card arrangement, adding tellers to serve customers, enlarging the waiting room so that customers are comfortable waiting and also determine the characteristics and performance measures of the queuing system in part of the payment counter and delivery of goods that will help PT. Pos Indonesia Binjai Company.
Expert System for Diagnosing Cancer Using Bayes Theorem Method Sembiring, Indri Aurellia Apsari; Buaton, Relita; Khair, Husnul
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1231

Abstract

Cancer is a dangerous disease that is not contagious and is caused by abnormal cells or tissues that can grow rapidly. The rapid development of this network will cause several complications of this disease which develop rapidly as well. Adam Malik General Hospital is one of the government hospitals that has complete facilities to treat cancer patients. Because it is a regionally centralized general hospital, each patient has quite a long queue when conducting consultations and treatment, this can result in physical fatigue in patients because it takes too long in the queue. To overcome these problems, we need a system that can provide information and detect early cancer diagnoses. So that the doctor can use the results of the diagnosis issued by the system so that it can be analyzed further. This of course can speed up the time the patient is in the examination, so that the treatment process can run effectively and efficiently. An expert system is a system that can store information from an expert, such as a doctor, for example. One of the methods that can be used is the Bayes Theorem method, which is a theory of probable conditions that calculates the probability of an event that depends on evidence. From the results of the trials that have been carried out, the results show that the patient suffers from cancer, namely breast cancer with a value of 81.60%.
IOT Based Automatic Light Control System Using MQTT Protocol Sima, Brema Arisma; Buaton, Relita; Sihombing, Marto
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1213

Abstract

An Internet of Thing-based automatic light control system using the MQTT protocol is an efficient solution for controlling lights on or off. This study aims to design and implement an IOT-based automatic light control system that can be accessed and controlled via the internet network. This system uses the MQTT protocol to communicate between the hardware and software connected to the MQTT Broker. This system also consists of several main components, namely a light sensor, NodeMCU ESP8266, and a user application. The light sensor is used to detect the intensity of surrounding light, NodeMCU ESP8266 to connect to Wi-Fi networks and broker MQTT. The MQTT broker serves as a communication center between publishers and subscribers. MQTT Dash is a user application that provides an interface for manually controlling the user's lights or setting the automatic mode.
PENGCLUSTERAN JENIS USAHA UKM BERDASARKAN PROGRAM BANTUAN DI KOTA BINJAI MENGGUNAKAN ALGORITMA K-MEANS Azizah, Siti Nur; Buaton, Relita; Selfira, Selfira
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 2: DESEMBER 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i2.7277

Abstract

Penelitian ini bertujuan untuk mengelompokkan jenis usaha UKM berdasarkan program bantuan yang diterima di Kota Binjai menggunakan algoritma K-Means. Permasalahan distribusi bantuan yang belum tepat sasaran dan tidak merata mendorong perlunya pemetaan berbasis data. Metode yang digunakan adalah algoritma K-Means yang diimplementasikan dengan MATLAB R2014a, dengan variabel domisili kecamatan, jenis usaha, dan jenis bantuan. Pengujian dilakukan dengan jumlah cluster 3 hingga 6 untuk menentukan model paling optimal. Hasil terbaik diperoleh pada model 6 cluster dengan nilai cluster variance terendah sebesar 0,7759, menunjukkan distribusi data yang paling kompak. Masing-masing cluster memiliki karakteristik berbeda yang merepresentasikan kebutuhan spesifik UKM di tiap wilayah. Dengan pendekatan ini, strategi penyaluran bantuan dapat dilakukan secara lebih objektif, efisien, dan sesuai kebutuhan. Penelitian ini diharapkan menjadi acuan dalam pengambilan keputusan berbasis data oleh pemerintah daerah dalam mendukung pemerataan ekonomi di Kota Binjai.
Co-Authors Achmad Fauzi Ade Chairany Adek Maulidya Adinda Maudia Savira Ajisro Siringoringo Alma Diana Rangkuti Alma Diana Rangkuti Ambarita, Indah Ami Dilham Ana, Putri Andri Kristiawan Anisa Anisa Anisa Anisa Anisa Putri Pratiwi anjelia alsar anjeliaalsharlubis Anjelia Alsar Lubis Annatasia , Kristina Aprillianda Pasaribu Aula, Nurhasanah Auni Patrisyah Ayu Rahayu Febria Ayu Rahayu Febria Br. Ginting, Rosa Lina Budi Serasi Ginting Budi Serasi Ginting Cinta Apriliza Clara Rosa Wijaya David Jumpa Malem Sembiring Dea, Dea Puspita Deny Jollyta Deri Kurniawan Desva Karliana br Sembiring Dhea Agustina Akmal Dhea Alfiya Ningsih Dhovan Damara Santoso Dicha Mutia Dhani Dita Mawarni Diva Alifya Dwi ASTUTI Elviwani Fadillah Fadillah Fajar Amalia Putri Fany Juliawati Farid Reza Malau Fauzi, Achmad Febi Andini Fuji Dodo Aritonang Gultom, Imeldawaty Haryanto, Septian Hayati, Radhiah Heka Herawati Br Tarigan Herman Mawengkang Hermansyah Sembiring Hermansyah Sembiring Husnul K I Gusti Prahmana Indah Malasari Ivan Candra Dinata Kadim, Lina Arliana Nur Khadapi, Muammar Khair, Husnul Khairul, Habib Kristina Ananatasia Kristina Annatasia Leni Tri Ramadhayanti Lestari, Chintiya Wahyuni Indah Lidya Hasna lidya hasna Lishayani, Putri Lubis, Anjelia Alsar Lumbanbatu, Katen magdalena simanjuntak Magdalena Simanjuntak Magdalena Simanjuntak Malau, Farid Reza Marto Sihombing Mayaza, Suha Baby Melda Pita Uli Sitompul Mili Alfhi Syari Muhammad Arif Ridho Muhammad Zarlis, Muhammad Muhammad, Zarlis N Novriyenni Nadila Rahmawati Nike Alpio Rizky Ningsih, Novia Novita Anggraini Novriyenni Nur Fariza Khairani Nurhayati Nurlaila Nurlaila Nurlaila Nurlaila Nurul Syahrani Pardede, Akim Manaor Hara PASARIBU, TIO RIA Prahmana , I Gusti Prahmana, I Gusti Pramudhita, Chika Prisa Abela Purba, Ramen Antonov Putri Purwani, Dea Nanda Raja Rizki Alanta Nasution Ramadani, Suci Rani Lestari Rani Nuraini Rani Nuraini Ratih Ratih Puspadini Reza Alexandra Rianty Zabitha Siregar rifa'i, Muhammad Rohana, Sherly Rusmin Saragih, Rusmin Sany Lubis, Fauzan Al An Sari Suwandi, Ema Selfira Selfira Selfira Selfira, Selfira Sembiring, Hermansyah Sembiring, Indri Aurellia Apsari Septian Haryanto septian haryanto Sherly Eka Wahyuni Sihombing, Anton Sihombing, Marto Sihombing, Novena Putri Antonia Sima, Brema Arisma Simanjuntak, Magdalena Sinaga, Ayu Puspita Sari Sinek Mehuli Br Perangin-Angin Siswan Syahputra Siti Nur Azizah, Siti Nur Solikhun Solikhun Solikhun Solikhun, Solikhun Sri Astuti Sri Hardiningsih Sundari, Yeni Sundari, Yeni Suria Alamsyah Putra Syahputra, Siswan Syahputra, Suria Alam Syahril Effendi Syari, Milli Alfhi T. Reza Pahlevi Teuku Reza Pahlefi Tiara Jelita Windy Indah Sary Sinaga Windy, Windy Alfira Yani Maulita Yel, Mesra Yusnan Sepriadi Ginting Yusnan Sepriadi Ginting Yusrina, Eli Yuyun Arnia Zuliani - Zulkifli Zulkifli