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Nono Heryana
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INDONESIA
Systematics
Published by Universitas Singaperbangsa Karawang
ISSN : -     EISSN : 27146529     DOI : https://dx.doi.org/10.35706/sys
Core Subject : Science,
Computer Science & IT Library & Information Science
Systematics is a scientific journal published by the Department of Information Systems at the Universitas Singaperbangsa Karawang (Unsika), which is a place for researchers to publish and disseminate research results. This journal is a publication of research papers and its development in the field of Information Systems, Information Systems Development, Computer Science, and Informatics.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 71 Documents
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User Experience Analysis with User Experience Questionnaire (UEQ) in Academic Information Systems: Analisis Pengalaman Pengguna dengan User Experience Questionnaire (UEQ) pada Sistem Informasi Akademik Abdurahman Azis Lasawali; Agung Susilo Yuda Irawan; Rini Mayasari; Bagja Nugraha
SYSTEMATICS Vol 4 No 3 (2022): December 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i3.7266

Abstract

Technological growth in Indonesia is growing rapidly along with the times. The internet is one example of technological developments that can connect one user to another. One of the services that internet users often visit is a website. The website is one of the important means of disseminating and exchanging information. One of the things that must be considered in website development is the user experience. Therefore, in this study, we will discuss how to analyze the user experience or user experience of a website. The research method used in this study is the questionnaire method to obtain data and the User Experience Questionnaire (UEQ) method to analyze the data that has been collected. The case study in this research is the Academic System (SIAKAD) website of Universitas Singaperbangsa Karawang, assisted by tools, such as Microsoft Excel and UEQ to analyze the experience of users who use the website. Thus, it is hoped that the results of the analysis in this study can be used as evaluation material for future website development.
Air Quality Index Classification Using Neural Network Algorithms: Klasifikasi Index Kualitas Udara Menggunakan Algoritma Neural Network Ela Nurela Sari; Esty Purwaningsih
SYSTEMATICS Vol 4 No 3 (2022): December 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i3.7722

Abstract

Udara mempunyai peranan yang sangat penting dalam menjaga kelangsungan hidup makhluk hidup yang ada di bumi. DKI Jakarta merupakan Ibu Kota Negara Republik Indonesia yang jumlah penduduknya dikategorikan tinggi dan selalu meningkat dan tidak sebanding dengan pertumbungan ruang terbuka hijau dan pelestarian kawasan hijau khususnya pada wilayah perkotaan yang tidak diimbangi dengan luas wilayah. Tingkat kepadatan kendaraan bermotor dan pembangunan infrastruktur semakin meningkat, dapat mempengaruhi terhadap kualitas udara. Hal tersebut dapat berakibat tingkat pencemaran udara semakin tinggi. Fokus penelitian ini melakukan analisis klasifikasi index kualitas udara di DKI Jakarta dengan menggunakan metode Neural Network. Data yang digunakan adalah data sekunder dengan variabel sebagai determinan yang terdiri dari 5 variabel yaitu PM10, SO2, CO, O3, NO2 dan 1 variabel keluaran yaitu baik, sedang, tidak sehat dan sangat tidak sehat. Dari hasil perhitungan pada penelitian ini diketahui bahwa metode Neural Network memperoleh performansi akurasi sebesar 97,76%.
Fi’il Mu’tal Pattern Detection System In The Image Of The Qur’an Using The Sokal & Michener Method: Sistem Deteksi Pola Fi'il Mu'tal Pada Citra Al-Qur'an Menggunakan Metode Sokal & Michener Siti Nazilah; Eko Hariyanto
SYSTEMATICS Vol 4 No 3 (2022): December 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i3.7832

Abstract

The book of the Qur'an is Kalamullah, as a miracle, which has been revealed to the closing of the Prophets and Apostles, Muhammad through the intermediary of Jibril which is contained in his manuscripts, reads it as worship, which begins with Surah Al-Fatihah which closes with Surah An-Nas. To read from the contents of the verses of the Qur'an, knowledge and understanding are needed in understanding the contents of the contents of the verses of the Qur'an. By learning the science of nahwu, we can find out every meaning of the verses of the Qur'an. In general, not many people study and do not easily understand and seek every meaning of the Qur'an. Therefore, an application for detection of the Qur'an was made entitled System of Detecting Fi'il Mu'tal Patterns in Al-Qur'an Imagery Using the Sokal & Michener Method and from the test results that the accuracy of this system gets a value of 96%. The percentage detection rate indicates that the Sokal & Michener can be used as a detector in the image pattern of the Qur'anic verse. This system has been tested, it can be seen in the performance of this Fi'il Mu'tal Pattern detection system, the accuracy process is carried out by providing training training with many and variedThis Fi'il detection system helps in learning the meaning of words in the Qur'an, and this application is needed for beginners who want to get more knowledge from everything that is learned from this application, teacher guidance is needed to guide in learning how to interpret words or content according to the true laws.
The Decision Support System for Selecting Village Head Candidates Using The AHP Method Is Implemented With Super Decision Software: Sistem Pendukung Keputusan Pemilihan Calon Kepala Desa Menggunakan Metode AHP Diimplementasikan Dengan Software Super Decision Yanti Yusman; Ranti Eka Putri; Loli Amelia
SYSTEMATICS Vol 4 No 3 (2022): December 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i3.7826

Abstract

Indonesia is a democratic country which has elections general according to which level with this genera election provide sustainability in development in an area but not in five klambir this study aims to analyze the use of the AHP method to determine the decision in the election of a candidate for village head in klambir five which is part of Deli Serdang Regency, Medan City in The election the village head has inequakity in the election of village heads, this is very important it is very felt that this research uses the AHP method in analyzing data descriptive, qualitative, by collecting data by conducting interviews directly to the community in the election of candidates for village heads with assistance the five in klambir community provide an overview as well provide convenience in research in determining or selecting candidates village head.
UI/UX Design of Early Childhood Learning Applications Using Figma: Perancangan UI/UX Aplikasi Pembelajaran Anak Usia Dini Menggunakan Figma Ranti Eka Putri; Yanti Yusman; Yuda Wira Pratama
SYSTEMATICS Vol 4 No 3 (2022): December 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i3.8061

Abstract

In Presidential Regulation (Perpres) Number 60 of 2013, early childhood is a newborn to children who are not even 6 years old. From an educational point of view, this early age is a golden period in the development of a child's brain so that the Little One must be given the right stimulus or stimulus. Usually most children, especially children in the age range of 4 to 6 years, get knowledge from their parents or attend kindergarten. The background of this research is because there are still very few learning media that can be used for early childhood learning. The purpose of this study is to design a ui/ux application for early childhood where the method used is the prototype method using figma, and it contains material that will be learned by early childhood such as material on hijaiyah letters, hadith, prayer readings, selected letters, daily prayers, numbers, alphabets and themes. In the theme there are five materials that will be included, namely professions, colors, fruits, animals and transportation. This prototype is a reference for building early childhood learning applications.
Improving Employee Performance and Discipline Through Android-Based Employee Attendance Applications: Meningkatkan Kinerja dan Disiplin Karyawan Melalui Aplikasi Absensi Karyawan Berbasis Android Tri Sugihartono; Puad Nabil Hakiki; Maxrizal; Rendy Rian chrisna Putra
SYSTEMATICS Vol 5 No 1 (2023): April 2023
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v5i1.7903

Abstract

Attendance is used to recap employee attendance as a whole which is used to monitor employee discipline in an agency. In monitoring employee discipline, honesty is needed at work. In this conventional system, data is found that is not organized and requires extra monitoring time to determine employee discipline in carrying out the work given, in this study the focus is on employee absenteeism. The development of Information Technology is currently very rapid, and is balanced with the need for data processing tools that can manage information in certain fields. With the development of Information Technology and the increasing need for communication and information globally, it is necessary to have a mobile-based employee attendance application that is integrated with the location of accurate coordinates. Therefore, this study discusses the application of Android-Based Employee Attendance Application to Improve Employee Performance and Discipline. This study uses data collection techniques using the questionnaire method, while the data obtained using primary data, namely quantitative data. the results of this study as many as 50 employees are more responsible for the work given and always come on time. Thus it can be concluded that by implementing an employee attendance application, employees are responsible for the work given and always come on time and always provide information if unable to attend.
Decision Support System Using Simple Additive Weighting (SAW) Method For Teacher Performance Assessment At SMP Ki Hajar Dewantoro: Sistem Pendukung Keputusan Menggunakan Metode Simple Additive Weighting (SAW) Untuk Penilaian Kinerja Guru Di SMP Ki Hajar Dewantoro Rahmat Fajar; Anita Diana; Rusdah Rusdah; Yuliazmi Yuliazmi; Dwi Achadiani
SYSTEMATICS Vol 5 No 1 (2023): April 2023
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v5i1.8660

Abstract

The teacher is a qualified educator who is responsible for teaching, and has a function and role in educating the nation's daily life. So that the roles and responsibilities in the teacher's functional position to be done according to the applicable  regulations, a teacher's work assessment is needed which can guarantee a quality learning process at SMP Ki Hajar Dewantoro. In the process of selecting the best teacher for SMP Ki Hajar Dewantoro, there was already a weighting of the assessment criteria. However, a number of challenges arise, including the procedure of assessing teacher performance still using conventional methods with paper and ordinary calculations, so that the results of the assessment can occur errors or are inaccurate, and take a little time. Teacher ratings are also inaccurate and subjective, making it difficult to determine the best teacher. In addition, the decree for the best teacher is not well preserved. Therefore, a Decision Support System (DSS) is needed to recommend the best teacher using thethe Technique known as SAW (Simple Additive Weighting). The SAW approach was chosen due to it uses a method of ranking to choose the best option from a number of others and then determines the preference weight value for each option, specifically, the teacher with the highest rank according to the specified standards. due to the fact that it is based on the weight value of the existing criteria, this method will make the assessment faster, it can provide the best alternative teacher ranking. With the results of these rankings, it can simplify and assist the school in accelerating the assessment of teacher performance, so that more accurate results will be obtained as a decision tool.
Decision Support Systems For Teacher Performance Evaluation at SDI Darul Mu’minin With Analytical Hierarchy Process And Simple Additive Weighting Methods: Sistem Pendukung Keputusan Evaluasi Kinerja Guru di SDI Darul Mu’minin Dengan Proses Hierarki Analitik Dan Metode Additive Weighting Sederhana Dwi Setyo Aji; Anita Diana; Atik Ariesta; Grace Gata; Dwi Achadiani
SYSTEMATICS Vol 5 No 1 (2023): April 2023
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v5i1.8668

Abstract

Teacher performance evaluation is one of the efforts to raise the standard of education at SDI Darul Mu'minin. SDI Darul Mu'minin, which is located in Larangan Indah Village, Larangan sub-district, Tangerang City, has a teacher performance assessment that is conducted once a year. In addition to raise the standard of education, the purpose of the assessment is to select exemplary teachers. However, the process of assessing teacher performance is not on target because the assessment process only uses attendance criteria and does not yet have the right method. Therefore the principal added several additional criteria, namely: responsibility, lesson plans, loyalty and reporting of student grades. To implement a multi-criteria assessment, a decision support system is needed. This study uses the AHP and SAW methods and produces weights namely Responsibility 33%, Loyalty 28%, Attendance 18%, Lesson Plans 13% and Reporting of Student Values ​​8% and produces the best alternative, namely the best performing teacher with a value of 0.9930. The goal of this research is to decide the best alternative, namely the best performing teacher who will receive a prize or reward in the form of money at the end of each academic year.
Implementation of Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methods in Decision Support Systems for Employee Performance Assessment at the Komite Olahraga Nasional Indonesia (KONI) DKI Jakarta: Implementasi Metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Penilaian Kinerja Pegawai di Komite Olahraga Nasional Indonesia (KONI) DKI Jakarta Muhammad Dzakky Imaduddin Ikhwani; Anita Diana; Wendi Usino; Humisar Hasugian
SYSTEMATICS Vol 5 No 1 (2023): April 2023
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v5i1.8686

Abstract

This study describes the performance evaluation of top staff members of DKI Jakarta Komite Olahraga Nasional Indonesiasai (KONI). Evaluation of the best employees is important for facilitating system-based objective decisions for selecting the best employees. If you hire the wrong people, the selection thinking of the organization will not be objective, so it will not be a hiring mistake. Issues encountered include lack of evaluation criteria for each employee, no existing employee evaluation process, no employee evaluation process, no data report, no employee evaluation and ranking report for each employee, etc. there is. Criteria used include attendance, quotas, tardiness and working hours. Since the criteria need to be weighted, the Analytical Hierarchy Process (AHP) method is used. Use Method Simple Additive Weighting (SAW) to determine employee rankings for each criterion. The purpose of this study was to create a DSS with criteria and criteria to weight employee ratings and appraisals so that they could be assessed in more detail to review and share performance. reporting the results of employee evaluations. Under Employee Final Results (Ranking), you can see the ranking of each existing employee.
Prediction of Rice Field Planted Area with CRISP-DM Using Classification and Regression Tree (Cart) Algorithms : Prediksi Luas Tanam Sawah dengan CRISP-DM Menggunakan Algoritma Classification and Regression Tree (Cart) Elfina Novalia; Apriade Voutama; Garno
SYSTEMATICS Vol 5 No 1 (2023): April 2023
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v5i1.8755

Abstract

Every year the area of paddy fields in Karawang Regency has increased and decreased due to land conversion. Climate change also causes changes in the amount of rain and rain patterns that cause shifts in the beginning of the season and the planting period. If the decrease in planting area will be affected, then the price of rice will increase and farmers will maintain the area and not convert their rice fields to function, therefore a study was conducted to predict the rice planting area in order to know the description of the area of rice planted in Karawang Regency will increase. , decreased or stabilized. So the search for information on the data on the area of rice planting in Karawang Regency was carried out. A total of 180 data were processed using data mining techniques so that they could mine information from the data. Data mining is a technique of extracting or new discoveries from large data and then extracting the data into information that can later be used. Experiments were carried out using the CART algorithm and cross validation using the Weka tools. The results of the evaluation carried out can be concluded that the CART algorithm using different K values provides different evaluation results. The performance of the algorithm is seen from the accuracy, precision, recall and F-Measurement, thus providing different performance values for each result. The value of k=8 has the highest accuracy value, which is 90% with precision 0.918%, recall 0.906% and F-measure 0.949%.

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