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SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM Samuel Samuel; Asrul Sani; Agus Budiyantara; Merliani Ivone; Frieyadie Frieyadie
Jurnal Riset Informatika Vol 4 No 4 (2022): Period of September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1342.133 KB) | DOI: 10.34288/jri.v4i4.422

Abstract

The company does not yet know the pattern of consumer purchases because so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. To overcome the problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application used to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database (KDD) approach. Thus, the company can determine consumer habits in buying goods derived from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were obtained, of which the best were PN 0441, SK 0175 ⇒ SK 0530 and SK 0175, SK 0283 ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are categories that are often bought together.
SMART DOOR LOCK SYSTEM DEVELOPMENT PROTOTYPE USING RFID TECHNOLOGY ID-12 Siti Aisyah; Yusmar Ali; Komda Saharja; Suhendra Suhendra; Asrul Sani
Jurnal Riset Informatika Vol 4 No 4 (2022): Period of September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (910.308 KB) | DOI: 10.34288/jri.v4i4.433

Abstract

This innovative door lock system is designed to make it easier to control security in certain homes or rooms. This system can also be used in government offices and factories to restrict someone from entering a room that just anyone can not enter. In this system, the automatic door lock uses an ID-12 type RFID reader, Tag/Transponder, Arduino UNO R3, 5v Buzzer, Drop Bolt Lock, Relay Module, and LCD. The RFID reader ID-12 is used as a receiver, and the tag/transponder as a transmitter. This system works when the scanned RFID tag/card/transponder sends hexadecimal data to the RFID Reader ID-12, which then, from the RFID Reader, will receive and send data to the Arduino. Then the Arduino UNO will process it by reading the program module (data from the RFID tag/card/transponder) and giving commands to the buzzer to make a sound or notification. The relay module is a connector or breaker for the deadbolt lock or solenoid to open and lock the door and a 16x2 LCD to display the status of the scanned RFID card. On standby, the LCD displays the words "Smart Door Lock Scan Your RFID." When the scanned RFID card is registered and the bolt lock or solenoid is open, the LCDs the words "Welcome". When the scanned RFID card is not registered, and the drop bolt lock or solenoid is not open, then the words "Your Card is Unregistered." The push button is used to reset the Arduino when the Arduino is hanging and when the 16x2 LCDs have an error display
ASSESSMENT EFFECTIVENESS ANALYSIS SYSTEM USING G-FORM WITH TAM METHOD AT SD GALATIA3 JAKARTA BARAT Asrul Sani; Agus Budiyantara; Rizaldy Khair; Siti Aisyah
Jurnal Riset Informatika Vol 4 No 4 (2022): Period of September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (924.418 KB) | DOI: 10.34288/jri.v4i4.439

Abstract

In late December 2019 it took the world by storm by transmitting very quickly through the human respiratory tract. Since this happened the World Health Organization (WHO) has stated that Covid-19 is called a pandemic. The Covid-19 outbreak affects almost all aspects of life, including the aspect of education in Indonesia, which is also not spared from the Covid-19 outbreak and also feels the consequences of the spread of the virus. Students feel the impact of the spread of Covid-19 such as changes in the provision of services in educational institutions, such as formal education at all levels, non-formal education, to academics (Baety and Munandar 2021). Based on the announcement of the Ministry of Education and Culture Number 4 of 2020 concerning the Implementation of Education Policies during the Emergency Period of the Spread of the Coronavirus (Covid-19). The government began to implement an online learning system (online). The problem that arises during this online learning period is that there are still many people who are not ready to face technology, both in terms of teachers and students, this happened in the early days of the pandemic. So that the learning process that has been carried out normally, both in terms of teaching and providing assessments, also experiences obstacles. This is because the teaching staff (teachers) always have daily assessment data that is usually carried out daily during normal learning. However, during this PJJ period, teachers became confused about giving daily assessments to their students. The purpose of the research is to analyze and evaluate the online learning system using a platform that is easy to operate by teachers and can be accessed anywhere, namely, google form. In the Google Form application, there is an automatic calculation system in the form of student feedback where teachers do not bother to manually calculate the results of student learning evaluations (Munawaroh, Prastowo, and Nurjanah 2021). The analysis method used is the Technology Acceptance Model (TAM) which is able to find out the attitudes of users towards the technology used, so that teachers can easily find out whether the tasks given to students are done by the students themselves, not the help of parents.
Pengaruh Lingkungan Kerja dan Insentif Terhadap Kinerja Karyawan PT. Capella Medan. Siti Aisyah; Pandu Adi Cakranegara; Asrul Sani
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 6 No. 4 (2022): Volume 6 No 4 Oktober 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v6i4.11872

Abstract

Dalam mendapatkan Sumber Daya Manusia (SDM) yang berkualitas, perusahaan harus menciptakan lingkungan kerja yang nyaman juga pemberian insentif yang sesuai untuk meningkatkan semangat kerja karyawan sehingga perusahaan mendapatkan hasil yang maksimal.Tujuan penelitian untuk mengetahui pengaruh yang positif dan signifikan antara lingkungan kerja dan insentif terhadap kinerja karyawan PT. Capella Medan. Populasinya adalah seluruh karyawan PT. Capella Medan yang berjumlah 120 orang. Sampel pada penelitian dengan menggunakan rumus Slovin yaitu sebanyak 90 responden. Metode penelitian yang digunakan adalah metode analisis deskriptif, analisa SPSS, analisis regresi linier berganda, uji asumsi klasik, uji simultan (Uji F), uji parsial (Uji t) dan uji koefisien determinasi (). Hasil dari penelitian ini menunjukkan adanya pengaruh positif dan signifikan baik secara simultan maupun parsial dari variabel lingkungan kerja dan insentif terhadap kinerja karyawan PT. Capella Medan dengan persamaan regresi Y=21.280 + 0,217X1 + 0,242X2 + e. Dalam hasil Koefisien determinasi diperoleh nilai R2 sebesar 0,308 yang berarti bahwa 30,8% variabel kinerja (Y) dapat dijelaskan oleh lingkungan kerja (X1) dan insentif (X2) dan sisanya sebesar 72,2% dipengaruhi oleh faktor-faktor lain yang tidak dimasukkan dalam penelitian ini yaitu kepuasan kerja, pelatihan , stress kerja dan lain-lain.Berdasarkan analisis secara parsial dapat disimpulkan bahwa terdapat pengaruh yang positif dan signifikan antara variabel lingkungan kerja (X1) dan terhadap kinerja (Y) dengan nilai signifikan 0,041 < 0,05 dan terdapat pengaruh yang positif dan signifikan terhadap insentif (X2) terhadap kinerja (Y) dengan nilai signifikan 0,005 < 0,05.
READINESS TECHNOLOGY AND SUCCESS MODEL INFORMATION TECHNOLOGY IN IMPLEMENTATION BETWEEN SMEs IN JAKARTA Sani, Asrul; Aisyah, Siti; Budiyantara, Agus; Doharma, Rouly; Hindardjo, Anton; Frieyadie, Frieyadie
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 7 No 2 (2022): JITK Issue February 2022
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1156.04 KB) | DOI: 10.33480/jitk.v7i2.2981

Abstract

In general, the use of information technology plays an important role in organizational development. Similarly, if the advancement of information technology can be applied to the financial sector, small and medium enterprises, and so on, the sector's selling value will increase. This study was carried out to determine the level of readiness of the SMEs sector in carrying out information technology implementation projects in business management. In this case, the researcher is developing a research model by combining and adapting a technology readiness model and a success model in the development of information technology to the development of SMEs in Jakarta. This quantitative study included 226 SMEs workers and managers. The data was processed and analyzed using the PLS-SEM method and SmartPLS 3.0 software, with descriptive data being entered into a spreadsheet application. The study also describes the findings of the readiness factor, which has a significant impact on the success of information technology development in Jakarta SMEs
INVESTIGATING READINESS ATTITUDE TOWARD USING MOBILE PAYMENT SYSTEMS THROUGH TECHNOLOGY ACCEPTANCE MODEL Asrul Sani; Nur Nawaningtyas Pusparini; Agus Budiyantara; Irwansyah Irwansyah; Anton Hindardjo
Jurnal Riset Informatika Vol. 3 No. 3 (2021): June 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i3.69

Abstract

Abstract The development of mobile payments is in line with the increasing number of application developers making features that are easy to use. The readiness of users to use mobile payments in making transactions is the main thing, whether users trust the applications used in transactions. This study attempts to model a framework where the technology readiness index and the technology acceptance model are used. Respondents in the study were in Jakarta with a purposive sampling technique, amounting to 204. Data processing used SPSS and SmartPls 3.0 applications. The results of this study provide knowledge about the level of readiness in using the mobile payment application, giving rise to an attitude of optimism, but not from a security perspective. Users still feel that mobile payments are still not safe to make transactions online.
ASSESSMENT EFFECTIVENESS ANALYSIS SYSTEM USING G-FORM WITH TAM METHOD AT SD GALATIA3 JAKARTA BARAT Asrul Sani; Agus Budiyantara; Rizaldy Khair; Siti Aisyah
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i4.80

Abstract

Students feel the impact of the spread of Covid-19, such as changes in the provision of services in educational institutions, such as formal education at all levels, non-formal education, to academics. The government began to implement an online learning system (online). The problem during this online learning period is that many people are still not ready to face technology, both teachers and students. It happened in the early days of the pandemic. It results in challenges for the standard learning process, including challenges for teaching and giving assessments. It is because the teaching staff (teachers) always have daily assessment data that is usually carried out daily during everyday learning. However, during this PJJ period, teachers became confused about giving daily assessments to their students. The research aims to analyze and evaluate the online learning system using a platform that is easy to operate by teachers and can be accessed anywhere, namely Google Forms. In the Google Form application, there is an automatic calculation system in the form of student feedback where teachers do not bother to manually calculate the results of student learning evaluations. The analysis method used is the Technology Acceptance Model (TAM), which can determine users' attitudes towards the technology used, so that teachers can easily find out whether the tasks given to students are done by the students themselves, not with the help of parents.
SMART DOOR LOCK SYSTEM DEVELOPMENT PROTOTYPE USING RFID TECHNOLOGY ID-12 Siti Aisyah; Yusmar Ali; Komda Saharja; Asrul Sani
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.005 KB) | DOI: 10.34288/jri.v4i4.118

Abstract

This smart door lock system is intended to make it easier to control security in specific homes or rooms, such as government offices or factories, to prevent unauthorized entry into a small space. This automatic door lock system includes an ID-12 RFID reader, tag/transponder, Arduino UNO R3, 5v buzzer, drop bolt lock, relay module, and LCD. This ID-12 RFID reader functions as both a receiver and a transmitter. RFID improves system performance by enhancing information acquisition and remote digital archiving. This research aims to develop RFID-based technology by combining it with current information technology development. Contribute to the advancement of scientifically based digital technology.
EXAMINING STUDENTS' BEHAVIORAL USE OF CAMPUS JOURNALS WITH THE TECHNOLOGY ACCEPTANCE MODEL APPROACH Agus Pratama W; Asrul Sani; Siti Aisyah; Merliani Ivone S; Agus Budiyantara
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (842.031 KB) | DOI: 10.34288/jri.v4i2.158

Abstract

Understudy conduct is an action completed by understudies for every person. Students who visit campus journal websites are essential in terms of journal accreditation aspects, where this is a benchmark for increasing the journal's potential as a reference. However, some factors influence it where the frequency of students visiting campus journal websites is not as expected in exploring journals, and the enthusiasm of students to download articles is still below the desired expectations. It causes the potential for the journal to obtain national accreditation at a small percentage, and students may think that there are very few reference sources for journals, so it is less attractive on the campus journal website system. Data collection methods were used in this study, such as interviews, literature study, and questionnaires. Meanwhile, evaluate the campus journal website system on student behavior using the Technology Acceptance Model (TAM) with four variables: perceived ease of use, usefulness, attitude toward using, and behavioral intention to use. This method makes the user feel it is easier to access the campus journal website; then, the user feels the campus journal website can provide benefits and usability. The user has a great curiosity about accessing the campus journal, and finally, the user wants to access the website and take the initiative to influence. other users in to access the same
SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM Samuel Samuel; Asrul Sani; Agus Budiyantara; Merliani Ivone S; Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.013 KB) | DOI: 10.34288/jri.v4i4.194

Abstract

The company does not yet know the pattern of consumer purchases because, so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. The problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database approach. Thus, the company can determine consumer habits in buying goods from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were received, of which the best were PN 0441, SK 0175 ⇒ SK 0530, and SK 0175, SK 0283, ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are often bought together.