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All Journal IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Jurnal Teknologi dan Manajemen Informatika Journal The Winners Jurnal Minds: Manajemen Ide dan Inspirasi Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Ilmiah Teknik Industri ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Sistem dan Manajemen Industri Jurnal Ekonika : Jurnal Ekonomi Universitas Kadiri JBMP (Jurnal Bisnis, Manajemen dan Perbankan) Wikrama Parahita : Jurnal Pengabdian Masyarakat MBR (Management and Business Review) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Journal of Economic, Bussines and Accounting (COSTING) Indonesian Journal of Information System Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Jurnal Sisfokom (Sistem Informasi dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL MANAJEMEN (EDISI ELEKTRONIK) JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship Almana : Jurnal Manajemen dan Bisnis JURNAL MANAJEMEN BISNIS Jambura Journal of Educational Management LOYALITAS: Jurnal Pengabdian Kepada Masyarakat JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Building of Informatics, Technology and Science Mega Aktiva: Jurnal Ekonomi dan Manajemen Journal of Information Systems and Informatics International Journal of Economics Development Research (IJEDR) BASKARA: Journal of Business and Entrepreneurship International Journal of Industrial Optimization (IJIO) Academia Open Jurnal Fokus Manajemen Bisnis Indonesian Journal of Law and Economics Review International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Indonesian Journal of Innovation Studies BISMA (Bisnis dan Manajemen) Formosa Journal of Sustainable Research (FJSR) Adabiyah: Jurnal Pendidikan Islam Mamangan Social Science Journal IIJSE JAIDE Jurnal Ilmiah Bisnis dan Ekonomi Asia (Jibeka) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Journal of Geography, Regional Planning and Development
Rita Ambarwati Sukmono
Universitas Muhammadiyah Sidoarjo
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Other

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Pengaruh People, Persepsi Harga Dan Physical Evidence Terhadap Keputusan Pembelian Mixue Prigen Nur Ainun Jariyah; Herlinda Maya Kumala Sari; Rita Ambarwati Sukmono
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 2 (2024): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i2.8251

Abstract

This research is a type of quantitative research. Collecting primary research data was carried out through a questionnaire which was filled out online using Google From and distributed with a questionnaire link via various social media. The sampling technique uses a non-probability method. The sampling technique used is non-probability, using the accidental sampling method. To measure the number of samples, considering that the population in the study is not known with certainty, the Cochran Formula is used. In calculations using the Cochran formula, the result was 96.04, so the minimum sample size was 96 samples from consumers who had purchased Mixue Prigen. The analytical tools used in this research are multiple linear regression analysis, classical assumption test, t test, R test, R2 test using the SPSS version 22 application program. The results of this research prove that People have a significant influence on purchasing decisions. Price perception has a significant influence on purchasing decisions. Physical Evidence has a significant influence on purchasing decisions. Promotions have a significant effect on purchasing decisions. Keywords: People, Price Perception, Physical Evidence on Purchasing Decisions
The Effectiveness of Influencer Marketing, Content Marketing, and Electronic Word of Mouth (E-WoM) on Purchasing Decisions for Beauty Products on Shoope Live Streaming Dhea Ariesta; Lilik Indayani; Rita Ambarwati Sukmono
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 1 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i3.4127

Abstract

Selling products via live streaming is something that is increasingly in demand, therefore business actors continue to improve their skills to attract consumers in live streaming sales. This research aims to describeinfluence of the effectiveness Influencer Marketing, Content Marketing, and Electronic Word of Mouth (E-WOM) on Beauty Product Purchasing Decisions on Shoope Live Streaming. With a sample of 100 Shopee application users who have purchased beauty products via live streaming. This research uses quantitative research with a data analysis method using Partial Least Square (PLS) with the Smart-PLS program. The research results show that Influencer Marketing, Content Marketing and Electronic Word of Mouth (E-WOM) has a positive and significant effect on Beauty Product Purchasing Decisions on Shope Live Streaming, so that all hypotheses in this research are accepted. So it is revealed that the variables Influencer Marketing, Content Marketing, and Electronic Word of Mouth can be said to have strong implications for Beauty Product Purchasing Decisions on Shopping Live Streaming. With this, it is hoped that business actors will try to improve the quality of their live streaming so they can attract buyers.
The Impact of Knowledge Sharing and Work Discipline on Village Officials' Performance in Jabon Subdistrict: The Mediating Role of Work Motivation Muhammad Fatihul Iman; Sriyono Sriyono; Rita Ambarwati Sukmono
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 1 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i3.5466

Abstract

Improving the performance of village officials can be achieved through the optimization of factors that influence it such as knowledge sharing, work discipline and high work motivation. This condition is important to realize excellent service for the community at the village level. This study aims to analyze the influence of knowledge sharing and work discipline on performance through the work motivation of village officials in Jabon District to provide recommendations for improving the performance of village officials and the quality of public services. This research uses a quantitative approach with a hypothesis testing design to explain the causal relationship between variables through statistical data analysis. Data were collected from 138 respondents through questionnaires, then their validity and reliability were analyzed and hypotheses were tested through multiple linear regression analysis using SEM PLS.
Workplace Hazard Identification through Near-Miss Reports: A Social Network Analysis Anggraini , Dita Putri; Ambarwati, Rita; Dedy, Dedy; Toirxonovna, Alimova Mashhura
Indonesian Journal of Information Systems Vol. 7 No. 1 (2024): August 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v7i1.8891

Abstract

Occupational Safety and Health (OHS) is an effort to create a safe and healthy working environment. The company, which is engaged in power generation, experienced many near-miss cases from 2016 to 2023. Near-miss incidents are an early signal of the potential for severe accidents in the future if not resolved immediately. Identifying and addressing potential hazards early is necessary to prevent fatal work accidents. This study aims to analyze the reporting pattern of near-miss incidents by company employees through the IZAT application (Zero et al.) with a social network analysis (SNA) approach. This method identifies relationships and interaction patterns between employees in reporting near-miss incidents, thus revealing objects that need special attention. Data was obtained from September 2020 to July 2023. The analysis showed that 276 employees actively reported various near-miss incidents through IZAT (Zero Accident Assistant Application). This pattern reflects employees' sensitivity to potential hazards in their work environment. The findings of this study make a positive contribution to the improvement of the occupational safety and health management system in the company regarding the mitigation of potential hazards based on incoming report data. The recommendations provided are related to occupational safety aspects that need to be prioritized for management improvement. The implication of this research is to increase employee awareness in identifying and reporting potential hazards so as to prevent work accidents in the future.
Online Travel Agent Marketing Strategy Through Social Interaction During the Pandemic COVID-19 Ramadani, Mita Putri; Ambarwati, Rita; Hariasih, Misti
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 2 (2023): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i2.1553

Abstract

The Covid-19 pandemic has had such a devastating impact on Online Travel Agents such as Traveloka that it has made it to the lowest phase it has ever experienced. There are government regulations that limit people's social interactions so that various strategies are carried out, from using promos or utilizing application features. The purpose of this research is to find out whether the difference in social interaction between Traveloka users before and during the Covid pandemic was significant enough to evaluate Traveloka's marketing strategy. Decreased application usage, ticket rescheduling requests to refund requests which are currently Traveloka's problems. This research is qualitative research that uses the Social Network Analysis (SNA) method using the Twitter application assisted by the Jupyter Anaconda application, Google collab, and Ghepi. From the visualization of this study, the results obtained from 3 research focuses had significant differences from social interactions using Traveloka during the pandemic. From promos that experienced a decrease in interaction during the pandemic, Traveloka Xperience experienced an increase in feature usage, and the ticket feature experienced a decline in social interaction. So that Traveloka is expected to improve the company's strategy to survive during the pandemic.
Data-Driven Strategies for Fuel Distribution in Indonesia: A Case Study of PT Pertamina Patra Niaga Tiarazahra, Kania Lovia; Ambarwati, Rita
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.2030

Abstract

Fuel oil or what is often referred to as BBM is one of the basic needs to drive all community activities. So the government appointed PT Pertamina as a single company which is a state-owned company to facilitate fuel needs for all levels of society. However, with increasing demand, the government formed a new policy to allow private companies to come in to meet all fuel demand. With this, PT Pertamina is no longer the only fuel supplier in Indonesia and must continue to develop mature strategies so that profits do not fade. One way is by examining sales data and predicting customer loyalty. The RFM method followed by the decision tree algorithm and k-means clustering is applied in this research, with the output being able to determine the level of customer loyalty, the level of salesman performance, as well as predicting the potential for customers to churn and its correlation with the salesman's skills. The data used as a reference for the research is sales transaction data obtained from PT Pertamina Patra Niaga Regional Jatimbalinus. And from the research, results showed that the majority of PT Pertamina Patra Niaga Regional Jatimbalinus customers are loyal customers. With a salesman, performance is divided into good performance and less good performance. This grouping is obtained based on the salesman's overall performance track record. As for customer churn predictions, it was found that there was 1 group of customers who were predicted to churn heavily, but this was not influenced by salesman performance, as evidenced by transaction track records in existing data
Visualisasi Data Tweet di Sektor Pendidikan Tinggi Pada Saat Masa Pandemi Lieharyani, Djoko Cahyo Utomo; Ambarwati, Rita
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (828.939 KB) | DOI: 10.47065/bits.v4i1.1551

Abstract

The Covid-19 pandemic has had an impact on many sectors, including higher education. Various public opinions about higher education have emerged on social media during the pandemic, with varying foci of discussion. The purpose of this study is twofold. The first is to compare the results of semantic data analysis with and without stemming. Second, to determine the topic of discussion among Twitter users about higher education. This study was carried out by collecting tweet data for a year during the pandemic, from March 2020 to March 2021. The data then pre-processed using a combination of methods to ensure that there was minimal noise data. The analysis is performed using information theory, bigram phrases, semantic relationship analysis between words, and visualized using gephi in the final stage. The findings of this study explain in detail why the stemming method cannot be used directly for preprocessing data that requires semantic understanding. Data visualization also reveals that Twitter users who talk about higher education are more concerned with campus life and new student admissions. This research evaluates the stemming process because the results show that using stemming eliminates semantic meaning between words. This research also visualizes semantic relationships in tweets about higher education
Increasing Reading Interest Among Tebel Village Children Through the Micro Library at Riverbanks Ambarwati, Rita
LOYALITAS: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2023): November 2023
Publisher : IAI Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30739/loyalitas.v6i2.2537

Abstract

Technology has become an essential thing in the life of every human being, where technology plays a role in supporting all daily activities. This condition impacts children in their infancy or who are sitting in school. The utilization of information technology is seen as not optimal because they prefer to play games and social media rather than explore new knowledge and information, which is very necessary for their educational process. The explanation of the problems above is our reason for holding a literacy program in Tebel Village with children as the primary target. The children who live around the village tend to choose to play with their gadgets rather than read books. Lack of supervision from parents and the influence of the playing environment are some of the contributing factors. The activities increase interest in reading among children through a micro-library program located on the riverbank of Tebel Village. The results of this study were quite successful because more or fewer children had read books. At least, they were a little distracted from the influence of gadgets that had become a part of children’s lives at this time.
How to increase customer satisfaction of Mujair Fish Crackers with the IPA-KANO method Muthiah, Imroatul; Ambarwati, Rita
MBR (Management and Business Review) Vol 7 No 2 (2023): Desember
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Kanjuruhan Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mbr.v7i2.9034

Abstract

This study aims to analyze consumer satisfaction with the IPA-KANO method. This research uses quantitative research where data collection techniques using questionnaire. The respondents used in this study were 100 consumers of processed mujair fish cracker products CV. SARIRAM. The data analysis technique used in this research is the Importance Performance Analysis (IPA) method and Kano is then converted using SPSS. The results of the integration of Importance Performance Analysis (IPA) and the Kano model show that there are 12 attributes that fall into the category to be maintained and the remaining 8 attributes that need attention to improve their performance to increase customer satisfaction.
Optimizing Iron Price Forecasting with Linear Regression Analysis and RapidMiner Istiqomah, Rahmatul; Ambarwati, Rita
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13560

Abstract

Competition in companies often occurs in price, advertising and promotion, and quality. Price is very influential on competition in a business. The price of a product is one of the things that influences buyers to want to buy a product or not; therefore, price is very important to determine. There are two objectives in this study; the first objective is to predict the right iron price to be used in the following year so that it can be used to increase the competitiveness of the company. The second objective is to determine the attributes that affect the price. This research uses a linear regression algorithm to predict prices and measure the attributes' relationship using the RapidMiner tool. RapidMiner is software that functions as a learning tool in data mining science in which various data processing models are ready to be used easily. From the test results on the training data, an accuracy value of 95% was obtained with a threshold value of 30, which stated that the results were accurate. Then, the factors that affect the price produce factors from the size variable (mm) and unit (kg); between the two variables that affect the price, there are results from the variables that most affect the price, namely size (mm). For the performance of the linear regression model calculated using the root mean square error (RMSE) produces a value of 199,291.
Co-Authors Adji Kusuma, Kumara Adji, Kumara Agustina, Aninda Aisyah Andriani Alif , Wildan Alimova, Mashhura ToirÑ…onovna Alimova, Mashhura Toirxonovna Alimova, Mashhura Toirхonovna Alshaf Pebrianggara Alwifaqi, Jindan Anggraini , Dita Putri Anjani, Syafina Putri Arista, Sintha Wahyu Astuti, Rini Puji Bayu Prasetio Bintang Pamungkas, Moch. Ridho Choirunisa Karina Dedy dedy dedy, dedy Detak Prapanca Devan Kertajasa Dewi Komala Sari Dhea Ariesta Djoko Cahyo Utomo Lieharyani Dwi Mega Aprilia Farhan , Akmal FASYA, KHALIDA Fatchiyah, Alifatul Febriliyan Samopa Febriyanti, Kadek Dwi FIKRI HAIKAL Firdaus, Handika Fitriani, Lita Marshella Ghianti, Anneke Chitra Giandi, Oxsy Hadiah Fitriyah Hafif Wisnu Wahyudi Handiwibowo, Gogor Arif Hanifa, Muhammad Hendra Sukmana Herlinda Maya Kumala Sari, Herlinda Maya Kumala Hidayat, Anastasya Putri Husna, Rofiatul Iffat, Emmira Illahi, Utami Nur Imawati , Angraini Putri Indah Lestari, Indah Istiqomah, Rahmatul Kharisma, Risky Ageng Khisamuddin, Muhammad Idrus Khoiriyah, Dwi Himatul Lestari, Putri Indah Lilik Indayani Melania, Dewi Riski Meynur Rohmah Ubaidillah Millenia, Arum Miranda Nindi Grazia Misti Hariasih Mochamad Rizal Yulianto Mohammad Isa Irawan Mubarokah, Annisa’ul Muhammad Fatihul Iman Muhammad Ridho Bintang Janaputra Muthiah, Imroatul Muzakki, Ilham Nafis, Khilyatun Nasrudiansyah, Dicky Septian Nugroho, Brilian Nur Ainun Jariyah Nur Chamila, Ayuni Nur Fazria Masfufah Nurhafizah, Intan Nurjanah, Firda Awalul Octhavia , Ristha Prasetyo, Deddy Prasetyo, Wahyu Eko Rahmadhani, Debi Rahmah, Adinda Syafira Rahmawati, Dwi Maya Ramadani, Mita Putri Rizky Eka Febriansah Rizky Hidayat, Rizky Sigit Hermawan Silmi, Fahmi Amil Sri Susilawati Wati Sriyono Sriyono Sriyono Sriyono Sriyono Sudiarto, Dimas Arfi Sudibyo, Eko Sumartik Sutrisno, Sutrisno Syaifuddin, Aldy Hamid Taufiqih, Rahmad Thamrin, Suyono Tiarazahra, Kania Lovia Tinah, Tinah Toirxonovna, Alimova Mashhura Turekulova , Dametken Medihanovna Turekulova, Dametken Medihanovna UB, A. Riyadh Wahyuni, Eka Risma Wardani, Dwi Sukma Widya, Paramitha Puspa Widyasari, Dwi Fitri Wijayanti , Putri Nur Rizki Wilujeng, Aura Masdena Nur Wiwik Sulistiyowati Yahya, Moch Roziqi Yuniar, Mylenia Martina Zain, Muhammad Fikri Bariq