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All Journal International Journal of Electrical and Computer Engineering Jurnal Media Infotama JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika Upgris PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JSAI (Journal Scientific and Applied Informatics) JATI (Jurnal Mahasiswa Teknik Informatika) Just TI (Jurnal Sains Terapan Teknologi Informasi) Djtechno: Jurnal Teknologi Informasi Jurnal Komputer, Informasi dan Teknologi Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika JIMAKUKERTA Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Rekayasa Sistem Informasi dan Teknologi Setawar Abdimas JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Riau Jurnal Teknik Informatika
Yuza Reswan
Universitas Muhammadiyah Bengkulu
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Implementation Of Sequential Searching Algorithm In Car Sales E-Commerce Web Reswan, Yuza; Darnita, Yulia; Mahfuzhi, A.R. Walad Mahfuzhi; Elviani, Elviani
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1807

Abstract

The sequential searching algorithm is an algorithm that performs a search by matching the data to be searched with all the data in a group of data in a sequential manner starting from the first data until the data can be found. The development of information and communication technology has brought significant changes in various aspects of life, including in the world of commerce. E-commerce has become a popular platform for carrying out buying and selling transactions, including car sales. Selling cars via e-commerce offers many benefits for buyers and sellers. For buyers, e-commerce provides easy access to a wide selection of cars at competitive prices. For sellers, e-commerce expands their market reach and allows them to reach more customers. However, as the number of products available on e-commerce websites increases, finding the desired product becomes increasingly difficult. This can cause frustration for buyers and result in decreased sales. This research aims to discuss the implementation of sequential search algorithms on car sales e-commerce websites. This algorithm is expected to help buyers find the car they want more easily and quickly, thereby increasing buyer satisfaction and increasing sales for sellers.
Randomized QR-code scanning for a low-cost secured attendance system Imanullah, Muhammad; Reswan, Yuza
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp3762-3769

Abstract

Human resource management requires good documentation and good data processing. In workspaces such as offices and factories, employee salaries are determined by calculating attendance at each hour of work. Tracking and collecting attendance data for a large number of employees is a difficult thing to do. We need a secure system to facilitate the process of collecting and tracking presence data. We propose an attendance system that uses random quick response code (QR-codes) as one time password (OTP) to improve security. Employees are required to scan the QR-code within ten seconds before it is changed and randomized each time. The proposed attendance system facilitates data collection using employees’ smartphones and Mac-Address as unique identification numbers. The system is able to track employees’ arrival and departure times. We have implemented the system at the local university to collect lecturer attendance data then analyze its security and statistic in all scanning activities. The average time needed by a user to authenticate their presence in the system is 25.8877 seconds. The steps needed to sign in and out from the system are fewer than other previous researches. Those findings tell us that the approach is straightforward and more uncomplicated than other proposed methods. We conclude that randomized QR-code scanning is a relevant scheme to be applied in a secure attendance system.
Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai pada Dinas Pekerjaan Umum Bengkulu Selatan Menggunakan Simple Additive Weighting Method Reswan, Yuza; Prabowo, Dedy Agung
Jurnal Media Infotama Vol 14 No 2 (2018)
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.184 KB) | DOI: 10.37676/jmi.v14i2.665

Abstract

The decision support system for employee performance evaluation at the South Bengkulu public works department is very useful because it can provide another alternative for decision makers to select suitable employees to fill vacant positions. The use of a decision support system for employee performance evaluation using the simple additive weighting method is expected to reduce subjectivity in decision making. Instead, a calculation will be carried out on all employee assessments, so that it is hoped that employees with the best abilities will be selected. The research aims to create a decision support system for evaluating public service performance of employees at the South Bengkulu public works department. The benefits of this research can provide another alternative for decision makers to select suitable employees to fill vacant positions.
Multimedia Interaktif Pengenalan Tatacara Sholat Berbasis Animasi 3D Untuk Siswa Tingkat Sekolah Dasar Sahputra, Eka; Reswan, Yuza; Baihaqi, Ikhwan
Jurnal Media Infotama Vol 16 No 1 (2020)
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (685.992 KB) | DOI: 10.37676/jmi.v16i1.1118

Abstract

Life cannot be separated from the relationship between humans and God, one way is prayer as the 2nd pillar of Islam. Prayer is something that is mandatory for every Muslim starting from puberty and sanity. Due to foreign influences that have deeply entered into children's cultural thinking, material about prayer is highly recommended in the era of globalization. The current problem is that the media used is still conventional. Students can only listen to explanations from the teacher. This sometimes makes students feel bored and lazy to learn because there is no interaction that gives students an active role. This learning media uses picture learning books (which are used as markers to be saved by the smartphone, becoming 3-dimensional, 3D animation).
DESAIN APLIKASI PENGENALAN POLA TANDA TANGAN MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) Gunawan, Gunawan; Reswan, Yuza
Jurnal Media Infotama Vol 17 No 1 (2021)
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v17i1.1311

Abstract

The use of signatures is currently widely used to verify the validity of various financial transactions. Checks, credit cards and various other documents use signatures as identification of a person's legitimacy. Identification technology for recognition of signature patterns is included in biometrics which uses natural human behavioral characteristics. In this research, a signature pattern recognition application design will be created using the Support Vector Machine method. The goal to be achieved is to build a system that can detect types of signature forgery based on the Support Vector Machine method. The conclusion of this research makes it easier to recognize a person's signature pattern so that information on the owner of the signature can be known and obtain data about the signature pattern. The design of this application can help users in efforts to detect signatures. This design is suitable for use so that it can make it easy to recognize a person's signature pattern so that information about the owner of the signature can be known. The results of Matlab processing on image processing and artificial neural networks are usually stored in the *.mat extension because image processing and artificial neural network variables are numeric.
Implementasi Metode Cepat Kompresi File Document Otomatis Pada Aplikasi Berbasis Web Menggunakan Algoritma Additive Code Reswan, Yuza; Anggoro, Leo Tri
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5620

Abstract

Online data entry systems have largely replaced manual file submission in modern data transmission. Data is often very large. Therefore, a method is needed to reduce the size of the data. File compression, or compression in general, is the name of this method. Compressing files involves transforming multiple document files into a standard encoding format to reduce storage space requirements or increase upload speed. The results of this research inform the use of the Additive Code technique application for file compression, which makes it easier to upload document files automatically and is useful for users. Therefore, the author conducted research with the aim of developing a web-based application. This system can make it easier to upload document files so that it can reduce processing time. Using this method in online applications is useful for creating large document files that can be compressed into smaller ones by following the compression procedure. Data compression test results were obtained by running 10 samples of each document and PDF data file at a speed of less than 3 seconds, with accuracy ranging from 27% to 67% for each sample. We successfully tested ten Word documents and ten PDFs that were uploaded and compressed.
Deteksi Gizi Buruk Pada Balita Menggunakan Metode Fuzzy Logic (Studi Kasus Puskesmas Kecamatan Semidang Alas Kabupaten Seluma) Reswan, Yuza; Darnita, Yulia; Mahfuzhi, A.R Walad; Putra, Yonaldo
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5626

Abstract

Nutrition plays a crucial role in maintaining health and well-being throughout the life cycle, especially in toddlers. Malnutrition can affect the physical growth, intelligence, and productivity of children. Factors such as economic conditions, parental attention, and unsupportive environments can contribute to cases of malnutrition in toddlers. Suboptimal monitoring of toddler development can increase the prevalence of malnutrition cases. This research aims to develop a Fuzzy Logic-based Decision Support System (DSS) application to detect malnutrition in toddlers, with a focus on the Semidang Alas Community Health Center in Seluma Regency. This study discusses variables for assessing malnutrition in toddlers, applies the Fuzzy Logic method to detect these conditions, and designs an application to diagnose malnutrition in toddlers. The research also includes community education on weight changes in malnourished toddlers and general nutritional status, providing input to improve services for malnourished toddlers. Assessment criteria involve the child's weight, height, and age, using Fuzzy Logic and DSS Application for data processing. Information handling related to malnutrition is limited to visible symptoms. Software development focuses on recognizing malnutrition diagnoses in children aged 0-5 years. A case study was conducted at the Semidang Alas Community Health Center using direct observation, nurse/midwife interviews, questionnaires, and literature reviews. System needs analysis used the Fuzzy Sugeno method. The malnutrition detection application was successfully built using Fuzzy Logic, providing detection results based on age, weight, and height. The defuzzification process produced detection values as a reference for further treatment. Application development involved both display and data aspects, with testing conducted with relevant parties to ensure the accuracy of detection results. User criticisms and suggestions provided valuable input for the improvement and development of this application.
Aplikasi Pengolahan Data Permintaan dan Pengeluaran Material Teknik di Perusahaan Umum Daerah Tirta Hidayah Kota Bengkulu Berbasis Web Reswan, Yuza; Muntahanah, Muntahanah; Sahputra, Eka; Pagestu, Yolan
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5673

Abstract

Tirta Hidayah, Bengkulu City, distributes water to customers using pipes and engineering materials designed to work properly. However, this does not always run smoothly, because technical and non-technical problems often occur. To carry out the process of handling and correcting problems that occur in the field, each department must order goods in the warehouse. However, the problem is that the location between offices is quite far and the administration is quite long, making the demand and expenditure of goods not optimal and has an impact on customer service. Of course, this situation can hamper service to customers, because the currently available applications can only be accessed offline. Therefore, the author is interested in creating a web-based application for the PHP programming language and Mysql database. The system development was carried out using the waterfall SDLC model, with the result that the application for processing data on demand and expenditure of engineering materials with a web-based system at the Tirta Hidayah Regional Public Company, Bengkulu City, which was built has been running well, and this application is useful and helps the Service Unit (Processing, Transmission and Distribution Installation, New Installation) and Warehouse Sub Division and Tirta Hidayah General Section of Bengkulu City in the process of requesting and releasing technical materials to be more effective and efficient
Implementasi Metode Certainty Factor Dalam Diagnosa Penyakit Gigi Reswan, Yuza; Pahrizal, Pahrizal; Khairullah, Khairullah; Agus, Mat
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5688

Abstract

This study aimedd to build an application program that can aid plant experts provide knowlwdge in the form of an expert system.so it can be employed to treat diseases of the teeth. The system can forecast diseases.the method usedd was the expert system which is built using a certainty value called certainty factor. The resulting values can be utilized to infer the types of diseases and pests on the grapes. The results achieved from this study are the implementation of the Certainty Factor method in the diagnosis of dental disease. The conclusion of this study is to produce a website-based expert system that can help doctors diagnose dental diseases based on the symptoms caused.
Klasifikasi Tingkat Kematangan Buah Nanas Berdasarkan Fitur Warna Menggunakan Metode K–Nearest Neighbor (KNN) Reswan, Yuza; Toyib, Rozali; Witriyono, Harry; Anggraini, Ani
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5689

Abstract

This study aims to determine the extent to which the KNN algorithm is able to classify pineapple fruit based on color features with high accuracy and determine the best k value in the KNN algorithm to achieve optimal accuracy in the classification of pineapple maturity levels. In the process of classifying pineapple fruit manually by using the human eye is a very difficult thing to do. This is evidenced by the inconsistency and subjective nature that causes a low level of accuracy. Therefore, to increase the level of accuracy and reduce the subjectivity of the human eye, this research proposes an algorithm that can be used to classify the maturity level of pineapple fruit, namely with K-Nearest Neighbor based on the color of the skin on the fruit. The k value used in this research is 1, 3, 5, 7, and 9 to test the Euclidean distance search on images with a size of 300x300 pixels. The research conducted proves that with Euclidean distance k = 5 and k = 9 has a percentage value of 73%. Based on the level of accuracy, color features k = 5 and k = 9 show the best k value on the classification of pineapple ripeness level.
Co-Authors A.R Walad Mahfuzi Abdullah, Dedy Achmad Rajes Adelia, Serlina Adesio, Lambardo Agus, Mat Anggoro, Leo Tri Anggraini, Ani Anggraini, Laura Anugrah Ilahi, Puja Aprialdi, Abid Apridiansyah, Yovi Ar. Walad Mahfuzi Ari Satrio Wibowo Ariksa Abdul Lasin Arnoldi Arnoldi Baihaqi, Ikhwan Bobi Tri Yuliansyah cantika Cecep Saputra Dandi Sunardi Darnita, Yulia Dedy Abdullah Dedy Agung Prabowo Dena, Yunita Meli Diana Diana Diana Diana Dyah Parmitha Pertiwi Elviani, Elviani Evandra, Geri Melano Fajar Ramadianto Feby Ayu Sahputry Giova Giova Gunawan Gunawan Gunawan Gunawan Guntur Alam Handayani, Kurnia Marga Harry Witriyono Hidayah, Aditia hidayah, agung kharisma Hidayat, Roki Imanullah, Muhammad Jayusta, Evan Jery Rohmadan Wahari Juansen, Monsya Juhardi, Ujang Khairullah Khairullah Khairullah Khairullah Khairullah, Khairullah Laura Anggraini Leo Tri Anggoro M Taufik Ma'ruf Mahfuzhi, A.R Walad Mahfuzhi, A.R. Walad Mahfuzhi, A.R. Walad Mahfuzhi Mahfuzi, A.R Walad marhalim, marhalim Marton Marton Ma’ruf, M. Taufik Muhammad Husni Rifqo Muhammad Imanullah Muhammad Immanullah, Muhammad Muntahanah Muntahanah Muntahanah, Muntahanah Nuri David Maria Veronika Padli, Zeko Pagestu, Yolan Pahrizal Pahrizal, Pahrizal Paulina, Yanti Putra, Erwin Dwik Putra, Erwin Dwika Putra, Yonaldo PUTRI WAHYUNI R.S, Penti Septian Raffles, Richard Rajes, Achmad Rasyid, Muhammad Soelaiman Reno Septia Erlangga Reza Julianti Ricardo, Ryo Rifqo, Muhammad Husni Ristontowi, Ristontowi Rolleys, Nazuta Ronny Saputra, Ronny Rozali Toyib Sahputra, Eka Sahputry, Feby Ayu Sahrudin, Sahrudin Sapitri, Tari Juita Seprianti, Widia simanjuntak, Yuliy Gusnitasari Sonita, Anisya Sundari Sundari Surya Ade Saputera Syahputra, Arevo Tari Juita Sapitri Tirta Sari, Puput Toyib, Rozali Trisista, Adinda Ujang Juhardi ujang juhardi Virginiawan Guntara, Yusa Wahidah, Alifah Nur Wibowo, Ari Satrio Widia Seprianti Wijaya, Ardi Witriyono, Harry Yonaldo Putra Yulia Darmi Yunita Meli Dena