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Journal : Journal of Computer Networks, Architecture and High Performance Computing

Evaluation of ATM Location Placement Using the K-Means Clustering in BNI Denpasar Regional Office I Putu Suwirya; I Made Candiasa; Gede Rasben Dantes
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 2 (2022): Article Research Volume 4 Number 2, July 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i2.1580

Abstract

The existence of an ATM location requires a placement evaluation that aims to support business and provide convenience and comfort to customers when using or transacting. This study aims to evaluate the placement of ATM locations using the K-Means method, and research using data obtained from data mining to obtain decisions that lead to not strategic, strategic, and very strategic ATM locations. This study uses data sourced from the BNI ATM database and performance data in one semester or six months, namely January to June 2021, as many as 121 ATM locations spread across the island of Bali. The application of the K-Means Algorithm in this study uses 6 clustering criteria, namely ATMs Usage, ATMs Fee-Based Income/ FBI, ATMs Service Level Agreement/ SLA, ATMs distance, competitor ATMs, and Business Distance. In addition to presenting calculations using spreadsheets, this research also produces implementations in web-based software. The results of alternative classifications based on K-Means on very strategic centroids of 27 locations or covering 22.31%, strategic several 77 locations or covering 63.64%, and non-strategic 17 locations or covering 14.05%. Although the location of ATMs that are classified as non-strategic criteria is quite small, this can be optimized by several strategic steps that can be taken by stakeholders within the company, such as evaluating the bank's business plan in 2022 and improving the supervision of machines at ATM locations.
Usability Testing On Inventory Application Using Performance Measurement, Retrospective Think Aloud, And System Usability Scale Technique. Gusti Ayu Putu Achintya Dewi; Prof. Dr. Gede Rasben Dantes; Prof. Dr. Dewa Gede Hendra Divayana
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2336

Abstract

System evaluation is carried out with the aim of knowing system weaknesses that hinder users from implementing them. Inventory application users in Badung Regency, based on interviews conducted, had never been evaluated and there were several records collected regarding complaints from users. This study aims to evaluate the value of the success and speed of doing tasks with Performance Measurement, RTA and SUS Techniques. Based on the results of processing the data obtained with the performance measurement technique, it shows that pages are generally quite effective because they function properly, even though there was an error in one of the tests in carrying out the task by the respondent. This is due to a period mismatch caused by the user's own error, namely forgetting to change the period. Efficiency when viewed from the results of the data obtained with performance measurement techniques, it is generally known that inventory applications are quite efficient. For user satisfaction, the score for the respondent's questionnaire is 61.18 which is obtained, this means that the score is smaller than the SUS standard score, which is 68. So it can be said that respondents are not satisfied using the Inventory Application. The results obtained from the usability testing process show that the Inventory Application page which is the object of research still does not meet the criteria for a product with good usability. This can be seen in the assessment of the level of effectiveness, efficiency, and user satisfaction. This inventory application is not able to meet the good criteria for these three aspects.
Analysis of the Implementation of E-Learning in Melajah.id Using Human Organization Technology (HOT) Fit Model Gusti Komang Pradhana; Gede Rasben Dantes; Dewa Gede Hendra Divayana
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2921

Abstract

This research is motivated by the absence of prior analysis on the success level of implementing Melajah.id e-learning and the performance analysis of the e-learning platform from the perspective of human, organizational, and technological support aspects. Therefore, the existence of this scholarly research is considered necessary as a consideration for stakeholders involved in the policy-making for the development of educational service quality in vocational schools. The purpose of this research is to assess the performance and success level of the implementation of the Melajah.id e-learning platform in use at SMK Negeri 3 Tabanan. For the indicators of the human variable, they include: (a) System Use and (b) User Satisfaction. For the indicators of the organizational variable, they include: (a) Organization Structure and (b) Organization Environment. As for the indicators of the technology variable, they encompass: (a) System Quality, (b) Information Quality, and (c) Service Quality. Data collection for the research was conducted through the distribution of online questionnaires using Google Forms, while supplementary data was obtained through observation and interviews to gather information that could not be revealed through questionnaires. Subsequently, the data analysis approach used to measure the success and performance of the e-learning system implementation was linear regression analysis as the quantitative method. Furthermore, qualitative data analysis was performed through content analysis of interview scripts and interpretation of observational data (photos and videos). The combination of the results from quantitative and qualitative analyses served as the basis for drawing conclusions and making recommendations regarding the analysis of the success of the Melajah.id e-learning implementation in the vocational school where the research was conducted.
Evaluation of ATM Location Placement Using the K-Means Clustering in BNI Denpasar Regional Office Suwirya, I Putu; Candiasa, I Made; Dantes, Gede Rasben
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 2 (2022): Article Research Volume 4 Number 2, July 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i2.1580

Abstract

The existence of an ATM location requires a placement evaluation that aims to support business and provide convenience and comfort to customers when using or transacting. This study aims to evaluate the placement of ATM locations using the K-Means method, and research using data obtained from data mining to obtain decisions that lead to not strategic, strategic, and very strategic ATM locations. This study uses data sourced from the BNI ATM database and performance data in one semester or six months, namely January to June 2021, as many as 121 ATM locations spread across the island of Bali. The application of the K-Means Algorithm in this study uses 6 clustering criteria, namely ATMs Usage, ATMs Fee-Based Income/ FBI, ATMs Service Level Agreement/ SLA, ATMs distance, competitor ATMs, and Business Distance. In addition to presenting calculations using spreadsheets, this research also produces implementations in web-based software. The results of alternative classifications based on K-Means on very strategic centroids of 27 locations or covering 22.31%, strategic several 77 locations or covering 63.64%, and non-strategic 17 locations or covering 14.05%. Although the location of ATMs that are classified as non-strategic criteria is quite small, this can be optimized by several strategic steps that can be taken by stakeholders within the company, such as evaluating the bank's business plan in 2022 and improving the supervision of machines at ATM locations.
Analysis of the Implementation of E-Learning in Melajah.id Using Human Organization Technology (HOT) Fit Model Pradhana, Gusti Komang; Dantes, Gede Rasben; Divayana , Dewa Gede Hendra
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2921

Abstract

This research is motivated by the absence of prior analysis on the success level of implementing Melajah.id e-learning and the performance analysis of the e-learning platform from the perspective of human, organizational, and technological support aspects. Therefore, the existence of this scholarly research is considered necessary as a consideration for stakeholders involved in the policy-making for the development of educational service quality in vocational schools. The purpose of this research is to assess the performance and success level of the implementation of the Melajah.id e-learning platform in use at SMK Negeri 3 Tabanan. For the indicators of the human variable, they include: (a) System Use and (b) User Satisfaction. For the indicators of the organizational variable, they include: (a) Organization Structure and (b) Organization Environment. As for the indicators of the technology variable, they encompass: (a) System Quality, (b) Information Quality, and (c) Service Quality. Data collection for the research was conducted through the distribution of online questionnaires using Google Forms, while supplementary data was obtained through observation and interviews to gather information that could not be revealed through questionnaires. Subsequently, the data analysis approach used to measure the success and performance of the e-learning system implementation was linear regression analysis as the quantitative method. Furthermore, qualitative data analysis was performed through content analysis of interview scripts and interpretation of observational data (photos and videos). The combination of the results from quantitative and qualitative analyses served as the basis for drawing conclusions and making recommendations regarding the analysis of the success of the Melajah.id e-learning implementation in the vocational school where the research was conducted.
Co-Authors ., I KOMANG AGUS KARIASA ., Ni Ketut Erna Muliastrini Adi Yasa, I Made Adnyani, Ni Luh Putu Sri Anak Agung Gede Putra Dwi Arthajaya Arimbawa, Gusti Putu Arya Arthajaya, Anak Agung Gede Putra Dwi Artini, Ni Nyoman Aryani, Luh Nitra Audina, Ira Putri AYU NOVITA TRESIA DIRKS . Ayuningtyas, Luh Putu Swasti Cahyani, Ni Made Wahyu Suganti Candra Dewi, Dewa Ayu Putu Alit Citrawati, Ni Kadek Dedy Rosadi Dessy Seri Wahyuni Dewa Ayu Puteri Handayani Dewa Gede Hendra Divayana, Dewa Gede Hendra Dewangkara, Ida Bagus Indra Dewi, Kadek Intan Rustiana Dewi, Suzy Puspita Divayana , Dewa Gede Hendra DWI MEGA WIRAWAN . Elly Herliyani Fang, Chen Fridayanti, Ni Putu Eka Gd. Anggan Suhandana Gde. Anggan Suhandana Gede Arna Jude Saskara Gede Indrawan Gusti Ayu Putu Achintya Dewi Gusti Ayu Rindi Ratna Dewi Gusti Komang Pradhana GUSTI NGURAH MADE AGUS WIBAWANTARA . Gusti Putu Rustika Dewi I Gde Wawan Sudatha I Gde Wawan Sudhata I Gede Indra Suwardika I Gede Putu Megayasa I Gusti Agung Made Wirautama I Gusti Agung Sri Rwa Jayantini I Gusti Ayu Agung Dian Susanthi I GUSTI AYU TAMAN SUASTITI . I GUSTI BAGUS PUTRA . I GUSTI MADE ADIARTA . I Gusti Putu Suharta I Kadek Juni Arta I Kadek Suartama I Ketut Partama I Ketut Resika Arthana I Ketut Suja I KOMANG AGUS KARIASA . I Komang Arta Wijaya I Made Agus Oka Gunawan I Made Ardwi Pradnyana I Made Candiasa I Made Drati Nalantha I Made Windu Segara Kurniawan I Made Yudana I Nyoman Denawan I Nyoman Sucana I NYOMAN SUCANA . I Putu Agus Eka Pratama I Putu Dipta Priyatna I Putu Eka Indrawan I Putu Eka Sutariawan I PUTU EKA SUTARIAWAN . I Putu Suwirya I WAYAN CAWI . I WAYAN GEDE SABDANA, S.KOM . I Wayan Widi Karsana IDA AYU KARTIKA SURYA DEWI . Ida Bagus Ari Brata Paramartha IDA BAGUS ARI BRATA PARAMARTHA . Ida Bagus Nyoman Wijana Manuaba Ida Bagus Putrayasa IDA BAGUS SURYANA . Indriyani, Ni Luh Putu Ratih Indriyani, Ni Luh Putu Ratih Ira Putri Audina Jayantini, I Gusti Agung Rwa Juni Arta, I Kadek Kadek Eva Krishna Adnyani Kadek Puspa Ariantini Kadek Rihendra Dantes Kadek Yota Ernanda Aryanto Ketut Agustini KETUT DEDI JUNIADI ., KETUT DEDI JUNIADI KETUT SATRIA . Komang Setemen Kultsum, Ummi Kurniawan, I Made Windu Segara Luh Joni Erawati Dewi LUH MADE SURIWATI ., LUH MADE SURIWATI Luh Nitra Aryani M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Made Aristia Prayudi Made Suci Ariantini Manohara, Gede Raditya Minxia, Zhu Murni, Ni Nyoman Musaddat, Syaiful Natajaya . Ni Ketut Suarni Ni Komang Arie Suwastini Ni Komang Ratna Purwanti NI LUH GEDE ASTRI PURNAMI . Ni Made Ary Widiastini NI MADE SHANDYASTINI . NI NYM DHESY ARIYATI . Ni Nyoman Parwati Ni Putu Eka Fridayanti Ni Putu Era Marsakawati NI WAYAN KRISTIANTI . Ni Wayan Marti Ni Wayan Nilam Puspawati NI WAYAN SARMI ., NI WAYAN SARMI NI WAYAN SRI ARINI . Ni Wayan Suardiati Putri Ni Wayan Surya Mahayanti Ni Wayan Wardani Nice Maylani Asril Nikova, Kartika Nyoman Dantes Pascalian Hadi Pradana Pradhana, Gusti Komang Pratama, Putu Aditya Pratama, Putu Yoga Sathya Prof. Dr. A. A. I. Ngurah Marhaeni,MA . PROF. DR. A.A.ISTRI NGR.MARHAENI,M.A. . Putra, I Gusti Agung Ngurah Surya Putra, I Made Endra Wiartika Putra, I Made Endra Wiartika Putu Gede Surya Cipta Nugraha Putu Indah Rahmawati Putu Kerti Nitiasih Putu Nanik Sasmita Dewi PUTU NANIK SASMITA DEWI . Putu Suarcaya Rahmayanti, Putu Rinawati, Ni Kadek Ayu Rinawati, Ni Komang Ayu RUSMAYANI . Rusnalasari, Zulidyana Dwi Sri Rwa Jayantini, I Gusti Agung Suciati, Ni Nyoman Ayu Sudhata, I Gde Wawan Sumarno, I Wayan Suprihatin, Christina Turut Suryandani, Putu Dinia Suwirya, I Putu Suzy Puspita Dewi Tirza, Juliana Ummi Kultsum Uska, Muhammad Zamroni Utami, Luh Putu Restu Adi Wahyuni, Luh Putu Ari Sri Wardani, Ni Wayan Wijaya Laksana, Gusti Bagus Wijaya, I Komang Arta Wikanta, I Made Indra Adhi Wirabrata, Dewa Gede Firstia Zulidyana Dwi Rusnalasari