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All Journal International Journal of Electrical and Computer Engineering Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Information System for Educators and Professionals : Journal of Information System Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Artificial Intelligence and Data Mining Seminar Nasional Teknologi Informasi Komunikasi dan Industri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Sebatik Journal of Information Technology and Computer Engineering JURNAL SIMTIKA (Sistem Informasi dan Informatika) JURTEKSI Informatika : Jurnal Informatika, Manajemen dan Komputer bit-Tech Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Journal of Applied Computer Science and Technology (JACOST) Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Bulletin of Computer Science Research Insearch: Information System Research Journal Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Innovative: Journal Of Social Science Research Jurnal Teknologi SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) JR : Jurnal Responsive Teknik Informatika CSRID Jurnal Responsive Teknik Informatika Methods in Science and Technology Studies

Sumijan

Universitas Putra Indonesia YPTK Padang

Author-ID : 1534814

Agriculture, Biological Sciences & Forestry Humanities 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Akurasi Klasifikasi Pengguna terhadap Hotspot WiFi dengan Menggunakan Metode K-Nearest Neighbour Raemon Syaljumairi; Sarjon Defit; S Sumijan; Yusma Elda
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

The Current wireless technology is used to find out where the user is in the room. Utilization of WiFi strength signal from the Access Point (AP) can provide information on the user position in a room. Alternative determination of the user's position in the room using WiFi Receive Signal Strength (RSS). This research was conducted by comparing the distance between users to 2 or more APs using the euclidean distance technique. The Euclidean distance technique is used as a distance calculator where there are two points in a 3-dimensional plane or space by measuring the length of the segment connecting two points. This technique is best for representing the distance between the users and the AP. The collection of RSS data uses the Fingerprinting technique. The RSS data was collected from 20 APs detected using the wifi analyzer application, from the results of the scanning, 709 RSS data were obtained. The RSS value is used as training data. K-Nearest Neighbor (K-NN) uses the Neighborhood Classification as the predictive value of the new test data so that K-NN can classify the closest distance from the new test data to the value of the existing training data. Based on the test results obtained an accuracy rate of 95% with K is 3. Based on the results of research that has been done that using the K-NN method obtained excellent results, with the highest accuracy rate of 95% with a minimum error value of 5%.

Optimalisasi Penentuan Kriteria Penerima Bantuan Program Indonesia Pintar dengan Metode TOPSIS Dina Ayudia; Gunadi Widi Nurcahyo; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

The distribution of scholarships is carried out to assist in the determination of recommending someone who deserves to receive a scholarship, a Decision Support System is needed because the system for selecting scholarship candidates is still manual, and has many weaknesses. The large number of scholarship participant applicants makes schools having difficulty handling manual data processing so that software is needed to simplify the data processing. There for not all students who apply to receive scholarships can be granted, because the number of students who apply is very large, it is very necessary to build an SPK with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method which can help provide recommendation for scholarship recipients. Based on the analysis of the DSS with the TOPSIS method, it was carried out by means of a questionnaire, interview observation and system implementation. In the assessment of scholarship acceptance, it can be used as a basis for facilitating decisions on scholarship recipients because the system will process data and provide information quickly, precisely and consistently to the principal of students to receive the best scholarships to be awarded. Can form a decision that is right, effective and efficient in managing data on student recipients who are truly entitled to receive the scholarship. The TOPSIS method can be used to determine scholarship recipients, SPK in the assessment of scholarship acceptance can facilitate decisions in grade 7 students of SMP Negeri 17 Padang proportionally based on the results of student data processing including family cards, parents 'jobs, parents' income, number of dependents of parents and age parents accurately and accurately because the system can minimize errors in the process of calculating data normalization.

Kompetensi yang Optimal Terhadap Penilaian Kinerja Guru dengan Metode Simple Additive Weighting A Alfarisdon; Gunadi Widi Nurcahyo; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Professional teachers should be able to improve their quality to achieve the vision and mission of the school where the teacher is carrying out their duty. The main task of an educator is to provide students with the process of learning, educating, training and giving directions to create a better learning process. Besides carrying out the task of teaching, an educator also needs to be able to develop themselves sustainably in order to increase self-competencies. There are four competencies should be owned by an educator they are pedagogic, personality, social and professional. To measure those competencies, school head master have to conduct teacher assessment by pointed assessors. Teacher performance assessment functions to analyses teachers ' professionalism in learning processes at a school, teachers participation on self-empowerment activities as well as capacity building. This study aims to calculate the value of teacher performance assessment optimally based on competence through a decision support system. Simple Additive Weighting method is used in this decision support system. By using Simple additive weighting, the sum of weight ratings performance on each alternative in all the attributes can be collected. This decision support system used to make it easier to take a decision and a supporter of decision in performance evaluations. Dataset treat in this research was collected in SMP Negeri 25 Padang. The data consisting of four different criteria in accordance with teacher competence. The result of the study reaches the level of accuracy of 100 %.This study is expected to bring benefits for school leaders as the reference in order to optimize the teacher performance evaluation objectively.

Identifikasi dalam Penentuan Prioritas Usulan Kenaikan Jabatan Fungsional Pegawai Menggunakan Metode TOPSIS Z Zulvitri; s Defit; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Padang State Polytechnic (PNP) is one of the state universities located in the city of Padang, which has 39 Learning Laboratory Institution Functional Officials, who were later told by PLP. PLP is a Civil Servant (PNS) who is given the task, responsibility, authority and right to carry out activities in the field of learning laboratory management. The problem that occurs is that the PLP does not know the exact time of application for promotion and functional positions of each. Some of the difficulties occur in managing the sub-division of personnel in finding archives. This article is always increasing and accumulating each period of acceptance. So this research aims to process this staffing data to make it easier and to accelerate the promotion process. The method used is the Decision Support System (DSS) in identifying priorities for proposals for functional promotion. The DSS method used is Technique For Order Preference By Similarity to Ideal Solution (TOPSIS). The results of this study have the reliability in considering the shortest distance to the positive ideal solution and also the longest distance to the negative ideal solution. The alternatives and criteria used in this study consisted of 5 alternatives and 3 criteria. The value of ideal positive and negative solutions has a maximum value of K1 which is 0.66, K2 is 0.022, K3 is 0.05 and a minimum value of K1 is 0.1, K2 is 0.017, K3 is 0.022. The highest score in ranking is 2 people with a score of 1 and the lowest is 1 person with a score of 0.0008. So this research is very helpful in identifying promotion priorities appropriately.

Prediksi Tingkat Kriminalitas Menggunakan Metode Single Moving Average Mustopa Husein Lubis; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Crime is all kinds of actions and actions that are economically and psychologically harmful that violate the laws in force in the State of Indonesia as well as social and religious norms. Ordinary criminal acts affect the security of the community and threaten their inner and outer peace. The research location is the Asahan Police which is an agency that can provide security and protection for the community, especially those in Asahan Regency. The problem that occurs in this location is that there is no prediction system in Asahan Regency, due to the lack of knowledge factor in processing crime rate data. So it is difficult to know how much the increase or decrease in criminal cases carried out at the Asahan Police. The data used are cases of murder, sexual harassment, assault, violent theft, weight theft, motorcycle theft, fraud and counterfeiting money for the last 5 years from 2016 to 2020. This study aims to predict the crime rate in Asahan Regency in order to anticipating the upcoming spike in crime. The system that will be made uses forecasting or forecasting. With the Single Moving Average forecasting method. The Single Moving Average method is a forecast for the time in the future. The results of the calculation of predictions for criminal cases in 2021 obtained 3 cases of murder, 2 cases of sexual harassment in 2021, 252 cases of maltreatment in 2021, 27 cases of violent theft in 2021, 348 thefts with a weight in 2021. cases, motorcycle theft in 2021, totaling 90 cases, fraud in 2021, amounting to 85 cases, and counterfeiting money in 2021, totaling 1 case. This result has an accuracy rate of 99% from the reality of the crime that occurred, so this study is very appropriate to be used to predict the crime rate.

Perangkingan Potensi Guru dalam Penentuan Calon Kepala Sekolah Menggunakan Metode TOPSIS Bendra Wardana; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Efforts to increase the value of the quality of education for students as the next generation of the nation require teachers who have competence in providing education to students. The competence of a teacher can be assessed when a teacher has carried out his duties in accordance with the standard provisions he has. The ranking of potential teachers is used to motivate teachers to be active in carrying out each activity and is expected to have a positive effect on their work to face challenges in this era of globalization. The data that is processed for the ranking of teacher potential is the assessment data of elementary school teachers sourced from the korwildik of the Batang kapas sub-district. This ranking is based on several criteria and weights are determined. Furthermore, this ranking is processed using a system created by the researcher. This ranking uses a method called TOPSIS to assist researchers in ranking. The TOPSIS method is a multi-criteria decision support method with the principle that the chosen alternative must have the closest distance from the positive and negative ideal solutions. The results of ranking with the TOPSIS method are able to support the ranking decisions of potential teachers using predetermined criteria. So that the highest value is found in the 5th alternative with a value of 0.7321 and the lowest value is found in the 1st alternative with a value of 0.2218. The ranking of potential teachers has proven to be able to help the South Coast District Education and Culture Office, especially the korwildik of the Batang kapas sub-district in determining prospective school principals.

Sistem Pakar dalam Mengidentifikasi Gejala Stroke Menggunakan Metode Naive Bayes Fajri Karim; Gunadi Widi Nurcahyo; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Stroke is a disease caused by brain damage caused by disruption of the blood supply to the brain. At this time in general, people are still not very familiar with how this stroke disease or do not realize the symptoms that may have appeared from the start. People also tend to be hesitant to visit the hospital to check their symptoms and feel they are delaying further examinations. This is certainly a scourge that continues to make the number of strokes increase. In assisting the community in identifying stroke disease, an expert system is needed that is able to identify the type of stroke based on the symptoms felt. The data used in this study were obtained from Brain Hospital. Dr. Drs. M. Hatta Bukittinggi which was later developed into a website-based system using the PHP Framework Laravel programming language and MySQL as the database. The system is built based on the Naive Bayes method which is one of the Expert System methods that has a high accuracy value. The use of this system is expected to be able to provide knowledge to the public about the symptoms that might lead to what type of stroke the user might suffer, so that the user can use the results of the system as a reference to visit the hospital and immediately get more targeted help. This system can perform calculations that match the results of the doctor's diagnosis with an accuracy value of 100% in identifying the type of stroke from 10 data samples used.

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia Tio Ramadan Sapto Hari; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Caries disease in human teeth is a disease that permanently destroys the inner walls of teeth and forms small holes in the teeth. The Indonesian people lack the knowledge to find information and identify tooth decay, which makes many people unaware of the consequences and dangers of this disease. Tooth decay disease is usually caused by three factors. The first factor is teeth and saliva, which are the hosts of microorganisms in the oral cavity. Bacteria and food are the second and third factors. The purpose of this research is to help the public find information about tooth decay, thus forming a branch of artificial intelligence, the expert system. Artificial intelligence is a science that allows you to build computer systems that display intelligence in different ways. An expert system is a computer program or information system that uses some knowledge of an expert. The methods used in this study are the Naive Bayes method and the model's view controller, which are implemented as a database in the PHP Codeigniter framework and MySQL. The data processed in this study is knowledge about the symptoms of dental caries obtained from experts. The test results of this method provide patients with the knowledge necessary to prevent tooth decay, with an accuracy rate of 83.61%. This expert system helps the public to recognize and obtain information about tooth decay. The Expert System can also be used to take the first step in preventing tooth decay

Sistem Pakar dalam Menganalisis Alergi Kulit Manusia dengan Metode Certainty Factor Hafid Dwi Adha; S Sumijan; Gunadi Widi Nurcahyo
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

The skin is human’s outer sense, which servers as protection from bacteria, viruses, and solar flares, and as a sense. Skin may suffer from a variety of factors, one of which is allergies. Human skin allergies result from a pressurized immune system that humans normally react to certain substances, such as food, animal hair, or medicine. In addition to the three factors, a current of society giveslittle attention to skin allergies and lack of care or awareness is a trigger factor. Thus, the aim of this research is to analyze human skin allergies using the Certainty Factor method. By conducting interviews and observations on Rahmatan Lil ‘Alamin Clinic, Padang City, found 10 skin allergic kinds, 27 skin allergic symptoms, and 50 patients data. Those data are treated using the Certainty Factor method with stages to decisive symptom and allergic code, set the rule, set the weight, and calculate Certainty Factor score. In this research, it obtained test results at a percentage of a large 92% and the most allergic diagnosed is allergic dermatitis. By the test results inferable that expert system designed can be used to determine the diagnosis of human skin allergies.

Analisis Sistem Antrian dalam Meningkatkan Efektivitas Pelayanan Menggunakan Metode Accidental Sampling Rakhmad Pribowo Hariputra; Sarjon Defit; Sumijan
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Queue is a process of waiting to be served if a service facility (server) is still busy. After getting service, the queue is left to get service facilities. One of the busy places of service and the existence of services is the Solok City Hospital. Services at the hospital always have a queuing process. This process starts from registration to completion, namely making payments at the cashier. Currently, mobile media has become one of the important aspects in supporting queue services. Technological advances that use mobile media have provided many advantages and conveniences in saving time and reducing the number of workers and costs in service. One method of improving services with mobile media is the Accidental Sampling method. This method is very effective in using queue time. So this research was carried out to improve hospital services so that visitors and the hospital could save time in getting services and serving. The data processed in this study was carried out in 30 days with measurements using the calculation of the probability of no visitors, the average number of visitors, the average number of visitors waiting in the queue, and the average time waiting in line. The result of this study is to add 1 waiter per counter, so the optimal time to overcome the queue at the hospital. So that this research can be used as a reference in improving services to overcome the problem of queuing visitors

Co-Authors A Alfarisdon Abdi Rahim Damanik Adek Putri Adi Gunawan Aflili Sari Ahmad Khomsi Ahmad Zaki Aktavera, Beni Alifia Restu Selvanda Amran Sitohang Andre Agasi Andreas Malau Andres Boni Fakio Andri Nofiar Anjun Dermawan Ardia Ovidius Asep Kurniawan Asri Hidayad Ayu Prima Siska Bias Yulisa Geni Billy Hendrik Budi Jaya Budi Permana Putra Caniago, Deosa Putra Cyntia Lasmi Andesti Daeng Saputra Perdana Darma Yunita Darmawi Dede Pratama Dedi Irawan Deosa Putra C aniago Devi Maryuni Devia Kartika Dhena Marichy Putri Dhio Saputra Dian Cyntia Dewi Dina Ayudia Dina Selvia Dinul Akhiyar Dwiki Aulia Fakhri Edo Rinaldi Rais Eka Praja Wiyata Mandala Encik Yoega Renaldi Eri Haryadi Eri Haryadi eriwandi Esa Kurniawan Fachriqi Naldes Fachrul Ilmawan Fajri Karim Fajrul Islami Febri Aldi Febri Hadi Feri Irawan Ghea Paulina Suri Gunadi Widi Nurcahyo Hadi Syahputra Hadrila P A Hafid Dwi Adha Hafiz Mursalan hamsiah hamsiah Hardiansyah Putra Haris Kurniawan Hengki Juliansa Ibnu Rasyid Munthe Ieannoal Vhallah Ilham Roni Yansyah Indra Gunawan Irzal Arif Wisky Iskandar Fitri Jeri Wandana Jufriadif Na`am, Jufriadif Julius Santony Julius Santony Julius Santony Julius Santony K Kadrahman Kalfinus Waruwu Khairul Azmi Lc Granadi Suhaidir Lili Amareza Patriani M Syahputra M. Arif M. Rasyid M.Hafiz Alfansury Mahdiasa Sholihin Mardayulis, Mardayulis Mardison Monsya Juansen Muhammad Hafizh Muhammad Iqbal MUHAMMAD TAJUDDIN Muhammad Tajuddin Muhammad, Abulwafa Mustopa Husein Lubis Nandra Sunaryo Nella Novrina Doni Nindi Misyahdul Yuzi Nopan Pirsa Nur Aini Nurhidayat Okta Veza Pratama, Muhammad Harits Pratiwi, Fitri Puja M Alca Radillah, Teuku Rahmad Dian Rahmi Fauzana Rakhmad Pribowo Hariputra Rani Yunima Astia Rezki - Riadi, Rahadatul ‘Aisy Rian Kurniawan Riski Randa Hidayatullah Roni Roni Roni Salambue Rubiati, Nur Rusnedy, Hidayati S Salmiati Sabri T Rahman Sahyunan Harahap Salsa Fitiansyah Sarjon Defit Seni Oknora Firza Setiawan, Adil Soeheri Soeheri Sofika Enggari Sovia, Rini Sri Amalia Harahap Sri Handayani Subrianto Chandra Suhefi Oktarian Surmayanti, Surmayanti Surya Aulia Rahman Surya Dwi Putra Syafri Arlis Syahid Hakam Abdul Halim Syaljumairi, Raemon Tio Ramadan Sapto Hari Ulia Ulfa Wahyudi Wahid Wardana, Bendra Wendi Boy Widya Febriani Wijaya Hakim Yanto, Musli Yendi Putra Yoga Ananda Putra Yolan Ananda Putri Yosua Ade Pohan Yuhandri Yuhandri, Yuhandri Yuki Saputra Yusma Elda Z Zulvitri ZH, Lina Alfaridah. Zulfitri Yani

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