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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 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) 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) 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 PERMANA : Jurnal Perpajakan, Manajemen, dan Akuntansi JAIDE JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Jurnal Ilmiah Bisnis dan Ekonomi Asia (Jibeka) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Journal of Geography, Regional Planning and Development International Journal of Artificial Intelligence for Digital Marketing Academia Open
Rita Ambarwati Sukmono
Universitas Muhammadiyah Sidoarjo
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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 Public Health Social Sciences Transportation Other

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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.
EFEKTIVITAS PERCEIVED EASE OF USE DAN USER EXPERIENCE TERHADAP BUYING INTENTION DAN CONSUMER ATTITUDE SEBAGAI VARIABEL INTERVENING PADA SHOPEE Wardani, Dwi Sukma; Pebrianggara, Alshaf; Sukmono, Rita Ambarwati
Mega Aktiva Vol 13, No 1 (2024): April
Publisher : Universitas Muhammadiyah Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32833/majem.v12i2.440

Abstract

This research aims to determine the effectiveness of perceived ease of use, user experience on buying intention through consumer attitude as an intervening variable. This research uses primary data with a quantitative approach. The sampling technique in this research used the Purposive Sampling method and the number of samples in this research was 165 respondents. The results of this research show that Perceived Ease of Use has a positive and significant effect on Buying Intention, User Experience has a positive and significant effect on Buying Intention, Consumer Attitude has a positive and significant effect on Buying Intention, Perceived Ease Of Use can be mediated by Consumer Attitude on Buying Intention, and User Experience can be mediated by Consumer Attitude towards Buying Intention
Empowering and Improving the Quality of Potential Village Resources in Candiwates Ambarwati, Rita; Alif , Wildan; Octhavia , Ristha; Wijayanti , Putri Nur Rizki
Wikrama Parahita : Jurnal Pengabdian Masyarakat Vol. 8 No. 1 (2024): Mei 2024
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jpmwp.v8i1.6527

Abstract

Community service projects in Candiwates Village, Prigen District, were carried out by academics from the Universitas Muhammadiyah Sidoarjo in partnership with the village authority and the cultural office. Exploring the potential of existing resources and long-term community empowerment were critical components in developing the work program for Candiwates Village. The renovation of the Candi Jawi cultural heritage site is one of the activity projects, and the results of this renovation will be utilized to develop facilities contained in the cultural heritage. The method of implementing this com­munity service activity includes the stages of pre-implement­ation, implement­ation and evaluation. In addition to promo­ting the Sapta Pesona features of tourist villages, this commu­nity service activity includes socio-cultural, educational, and economic initiatives. This task was com­pleted for one month, beginning on January 16, 2023, and ending on February 16, 2023. The imply­cations of this community service activity can in­crease community awareness and cooperation in realizing the deve­lopm­­ent of an advanced and highly competitive tourist village in an integrated manner from the perspective of economic and socio-cultural aspects and educational considerations.
Social Media as Digital Marketing Tool in MSME: A Systematic Literature Review Agustina, Aninda; Ambarwati, Rita; Sari, Herlinda Maya Kumala
Jurnal Maksipreneur Vol 13 No 1 (2023)
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jmp.v13i1.1534

Abstract

The pandemic has caused difficulties for micro, small, and medium enterprises (MSMEs) in managing their finances, as all activities have been temporarily halted for health recovery. As a result, MSMEs have experienced losses in sales. One of the ways to ensure continuous sales and attract more buyers is by utilizing digital marketing. There are various options available in digital marketing, and one of them is leveraging social media platforms. MSME players have started to venture into digital marketing to increase their sales volume. However, previous research has shown that it has been only partially effective despite utilizing social media for sales facilitation. To address this issue, a Systematic Literature Review was conducted to document and review all articles related to enhancing social media utilization as a digital marketing tool to facilitate sales for MSMEs. A total of 20 nationally and internationally accredited journal articles were accessed from DOAJ, Google Scholar, and lens.org. The findings of the literature review study analyzed these 20 research articles that suspected social media as a digital marketing strategy to facilitate sales for MSMEs.
The Influence of Employee Quality of Work Life and Training on Employee Performance through Work Motivation at Hotel Grand Whiz Trawas Iffat, Emmira; Sriyono; Sukmono, Rita Ambarwati
Jurnal Manajemen (Edisi Elektronik) Vol. 15 No. 3 (2024): Jurnal Manajemen (Edisi Elektronik)
Publisher : UPT Jurnal & Publikasi Ilmiah SPs Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The tourism industry in Indonesia is experiencing slow growth due to the impact of the global economic crisis. The Grand Whiz Trawas Hotel faces suboptimal employee performance and fluctuating employee turnover rates, suspected to be influenced by factors such as quality of work life, training, and employee motivation. This research aims to analyze the influence of Employee Quality of Work Life and Training on Employee Performance through Employee Motivation at the Grand Whiz Trawas Hotel. The research employs quantitative techniques with a hypothesis-testing research design. The population consists of all employees at the Grand Whiz Trawas Hotel, totalling 93 individuals, with sample determination using a saturated sampling technique where all population members are used as samples. Data collection is conducted using a Likert scale. The research will be analyzed using Partial Least Squares (PLS) and a purposive sampling approach. Results managerial implications show that quality of life, training, and work motivation significantly influence employee performance. Work motivation also acts as a mediating variable in the model. These findings prove that improving employee performance at the Grand Whiz Trawas Hotel enhances quality of life, training, and work motivation. Academically, this model can serve as a reference for further research by adding other variables such as organizational development and talent management. Managerial implications include skills matching, re-vising policies on work cycles and promotions, evaluating compensation, promoting mentorship programs, ensuring flexible schedules for working mothers, and addressing global skills mismatches and gaps
Dynamic Segmentation Analysis for Expedition Services: Integrating K-Means and Decision Tree Khoiriyah, Dwi Himatul; Ambarwati, Rita
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.666

Abstract

Technological developments have an impact on increasing the level of competition between companies in acquiring and retaining customers. With this competition, companies must maximise efforts to reach consumers and understand customer service needs so that the business can continue to survive and experience development. In this effort, a segmentation analysis was carried out on marketplace accounts and expedition services commonly used by consumers to make transactions. The first step is to correct the dataset obtained to avoid errors in the final results. Next, data processing was done using rapidminer with the k-means clustering and decision tree methods. The research results show that k-means clustering achieved the lowest Davies Bouldin Index (DBI) accuracy, namely -0.943 in cluster_8. In the results of research using the decision tree method, accuracy results were obtained at 49.83%. The results obtained with the decision tree method cannot be said to be good because the results are below the 50% value; however, the decision tree method shows that a good cluster is cluster_7. In this case, better accuracy values can be achieved by using the k-means clustering method. This research can illustrate the importance of utilizing the k-means and decision tree algorithms in classifying sales data as a tool for optimizing marketing and service efforts.
Co-Authors Adji Kusuma, Kumara Adji, Kumara Agustina, Aninda Aisyah Andriani Alif , Wildan 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 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 Karima Nabila Yulia Rahmawati Kharisma, Risky Ageng Khisamuddin, Muhammad Idrus Khoiriyah, Dwi Himatul Lestari, Putri Indah Lilik Indayani Luthfiyani, Andhika Ayu Mas Oetarjo Masri, Meriska Rossana Yanuar Melania, Dewi Riski Meynur Rohmah Ubaidillah Millenia, Arum Miranda Nindi Grazia Misti Hariasih Mochamad Rizal Yulianto Mohammad Isa Irawan 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 Oetarjo, Mas Prasetyo, Deddy Prasetyo, Wahyu Eko Putri, Attalia Reinita Erlitna Rahmadhani, Debi Rahmah, Adinda Syafira Rahmawati, Dwi Maya Ramadani, Mita Putri Ramadhan, Muhammad Anugerah Rizky Hidayat, Rizky Sari , Dewi Komala Sigit Hermawan Silmi, Fahmi Amil Sri Susilawati Wati Sriyono Sriyono Sriyono Sriyono Sriyono Sudiarto, Dimas Arfi Sudibyo, Eko Sumartik Sutrisno, Sutrisno Syaifuddin, Aldy Hamid Syifa Novia Pradita Taufiqih, Rahmad Thamrin, Suyono Tiarazahra, Kania Lovia Tinah, Tinah Toirxonovna, Alimova Mashhura Turekulova , Dametken Medihanovna Turekulova, Dametken Medihanovna UB, A. Riyadh Wardani, Dwi Sukma Widya, Paramitha Puspa Widyasari, Dwi Fitri Wijayanti , Putri Nur Rizki Wilujeng, Aura Masdena Nur Wiwik Sulistiyowati Yahya, Moch Roziqi Yani , Muhammad Yuniar, Mylenia Martina Zain, Muhammad Fikri Bariq