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All Journal JAM : Jurnal Aplikasi Manajemen Ganaya: Jurnal Ilmu Sosial dan Humaniora Journal of Secretary and Business Administration Jurnal Abdimas Mahakam Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Economic Education and Entrepreneurship Journal eCo-Buss Jurnal Manajemen Bisnis dan Kewirausahaan Ilomata International Journal of Tax and Accounting Journal of Education and Teaching Learning The World of Business Administration Journal JINAV: Journal of Information and Visualization Ilomata International Journal of Social Science EduLine: Journal of Education and Learning Innovation Daengku: Journal of Humanities and Social Sciences Innovation Educoretax Jurnal Abdimas Sang Buana Abdi Teknoyasa eProceedings of Engineering Engagement: Jurnal Pengabdian Kepada Masyarakat Politeia : Journal of Public Administration and Political Science and International Relations Jurnal Ilmiah Pariwisata Jurnal Sekretaris & Administrasi Bisnis
Abdurrahman Rahim Thaha
Universitas Terbuka
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Analisis Sentimen Menggunakan Algoritma Naive Bayes Classifier Pada Ulasan Aplikasi PLN Mobile di Google Play Store Pramuji, Mochammad Chandra; Purnamasari, Rita; Eliskar, Yulinda; Thaha, Abdurrahman Rahim
eProceedings of Engineering Vol. 11 No. 6 (2024): Desember 2024
Publisher : eProceedings of Engineering

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Abstract

Penelitian ini bertujuan untuk memudahkan pengolahan big data dari ulasan aplikasi PLN Mobile menggunakan analisis sentimen berbasis algoritma Naive Bayes. Data ulasan diperoleh melalui web scraping dari Google Play Store dan diberi label berdasarkan sentimen positif dan negatif. Hasil penelitian menunjukkan bahwa algoritma Naive Bayes mampu mencapai akurasi 93%, precision 80%, recall 88%, dan f1-score 83%. Temuan ini mengindikasikan bahwa metode Machine Learning dan kecerdasan buatan dapat membantu PLN mengolah big data ulasan pelanggan dengan lebih efisien dan akurat. Dengan demikian, PLN dapat merespons umpan balik pengguna dengan lebih baik dan meningkatkan layanan berdasarkan analisis yang dihasilkan dari model yang digunakan.
Analysis of the Acceptance of the Local Tax Administration System Using the Technology Acceptance Model (TAM) Antoro, Aji Fajar Suryo; Thaha, Abdurrahman Rahim
Ilomata International Journal of Tax and Accounting Vol. 6 No. 3 (2025): July 2025
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijtc.v6i3.1446

Abstract

Local governments continuously strive to provide the best public services to their citizens, one of which is tax administration services through digital platforms. Each region faces unique challenges in developing an online system for local tax administration, making it crucial to understand the factors influencing the effectiveness of these services. This study uses the Technology Acceptance Model (TAM) as a conceptual framework and Partial Least Squares Structural Equation Modelling (PLS-SEM) using the Smart PLS application to analyze the factors affecting the acceptance of the Local Tax Administration System (SiPAD) by 131 taxpayers in Boyolali Regency. The results of hypothesis testing reveal that experience, compatibility, complexity, perceived ease of use, and perceived usefulness have varying impacts on the acceptance of SiPAD, with three hypotheses accepted and seven rejected. These findings underscore the importance of making SiPAD user-friendly, compatible, and perceived as useful to enhance the efficiency and effectiveness of tax administration and increase local tax revenue. The study also highlights the need for adequate training and socialization for taxpayers to keep pace with rapid technological developments. A well-implemented system is expected to expand the taxpayer base and support the success of local tax administration reforms.
Factors Contributing to Stunting in Indonesia: A Review Amud Sunarya; Thaha, Abdurrahman Rahim; Yandes, Jufri; Juniadi, Dedy; Akbar, Yonarisman Muhammad; Nugroho, Sapto Setyo
Politeia : Journal of Public Administration and Political Science and International Relations Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/politeia.v2i1.213

Abstract

Stunting prevalence in Indonesia has exhibited a relatively consistent trend, with rates of 36.8% in 2007, 35.6% in 2010, and a slight increase to 37.2% in 2013, though showing a decline to 30.8% in 2018. Despite this decrease, Indonesia's stunting rates remain higher than the global prevalence of 22.2%, indicating a significant public health concern. Stunting poses long-term health risks, and early prevention is crucial. This article review aims to identify factors contributing to child stunting in Indonesia, utilizing the WHO's conceptual framework. Employing various study designs and extensive literature search, the review identified 15 relevant articles, highlighting factors like exclusive breastfeeding, household economic status, maternal education, and environmental conditions as key determinants of child stunting.
Leadership and Strategy Business in VUCA World Kuncoro, Setyo; Thaha, Abdurrahman Rahim
Economic Education and Entrepreneurship Journal Vol 6, No 2 (2023): Economic Education and Entrepreneurship Journal (E3J)
Publisher : FKIP Universitas Lampung

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Abstract

This research aims to investigate the pivotal role of leadership and business strategy in addressing the challenges of the rapidly changing and uncertain business environment known as VUCA (Volatile, Uncertain, Complex, Ambiguous). In the context of ongoing globalization and technological transformation, organizations are facing increasing pressure to adapt and innovate. This study employs a comprehensive literature review methodology to identify key elements of effective leadership in managing the uncertainty, complexity, diversity, and ambiguity associated with VUCA. The research results yield a leadership and strategy model that integrates essential elements, including adaptive leadership, collaborative leadership, and responsive strategies. This model provides practical guidance for business leaders in developing strategies to tackle VUCA challenges and capitalize on existing opportunities. In a fast-paced business world, a deeper understanding of how to effectively combine these elements becomes the key to long-term success. This research holds significant relevance in understanding how organizations can achieve sustainability in the VUCA era and enhance their competitiveness. The proposed model offers a framework that can be applied across various industry sectors and can assist organizations in facing the challenges of an increasingly uncertain business environment more successfully.Keywords: Adaptation; Business; Leadership; Strategy; VUCA World.DOI: http://dx.doi.org/10.23960/E3J/v6i2.124-132 
Optimizing Industrial Sector for Distance Learning Partnership Kuncoro, Setyo; Thaha, Abdurrahman Rahim; Fadilla, Sarah
Journal Of Education And Teaching Learning (JETL) Vol. 6 No. 1 (2024): Journal of Education and Teaching Learning (JETL)
Publisher : CV. Pusdikra Mitra Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/jetl.v6i1.1706

Abstract

The rapid advancement of knowledge in the global arena has made it imperative for universities to remain competitive. To nurture students with outstanding competencies, universities need comprehensive support from various stakeholders, especially the industrial sector. The industry sector has emerged as an indispensable collaborator, actively contributing to the educational process, particularly in distance education. The methodology used in this study includes a comprehensive literature review. The article discusses the huge role played by the industrial sector in the context of distance education and integrating experts and practitioners from the business world into the educational framework to enrich the learning process with real-world insights. In addition, providing internship opportunities for students is also considered important. Internships provide invaluable learning experiences, enhancing graduates' competencies, thus strengthening their readiness to enter the workforce. This research explores how industry involvement in education can effectively improve the quality and relevance of distance learning, ultimately producing industry-ready graduates.
Analyzing Local Tax Revenue Optimization Strategies Using The SOAR Approach: A Case Study In Susu City Antoro, Aji Fajar Suryo; Thaha, Abdurrahman Rahim
Educoretax Vol 4 No 2 (2024)
Publisher : WIM Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/educoretax.v4i2.727

Abstract

This study uses the SOAR (Strengths, Opportunities, Aspirations, Results) approach to analyze the factors that influence local tax revenue in Boyolali Regency, Central Java. Although regional autonomy provides opportunities, dependence on central transfers is still high. The last five years of data show good target achievement, but the contribution of local own-source revenue (PAD) to the total revenue of the Regional Budget (APBD) is relatively small. Qualitative methods with a post-positivism paradigm were used, and triangulation was carried out based on the results of interviews, observations, and documentation. The results of the study found that Boyolali Regency has not fully met the criteria or standards in the formulation of strategies to increase tax revenue according to the SOAR framework. The strengths of Boyolali Regency lie in the size of its government area, which is the basis of the PBB object, as well as the diversity of local culture. Opportunities are the large number of PBB objects that are still not registered as tax objects and the large amount of uncollected tax receivables. Aspirations are not taken seriously, and the measurement of results has not fully considered the real potential of local tax revenue. In facing this challenge, further efforts are needed to formulate a more comprehensive strategy involving various parties. Suggestions for BKD Boyolali are to consider the utilization of local culture, expansion of the PBB base, increased cooperation that provides added value, increased community participation, and setting targets in accordance with existing regional potential. And the suggestion to the next researcher is to do a comparison with other objects or methods. With the implementation of the right strategy, it is expected to reduce dependence on the transfer of funds from the central government and achieve an increase in local tax revenue and a positive contribution to regional development.
Analisis Sentimen Destinasi Wisata Geopark Ciletuh Aziz, Fauzan; Thaha, Abdurrahman Rahim; Ma"ruf, Nizar Abdan
Jurnal Ilmiah Pariwisata Vol 27 No 1 (2022): Jurnal Ilmiah Pariwisata
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Pariwisata Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30647/jip.v27i1.1469

Abstract

West Java has a road map for 2017-2020 related to developing world-class tourist destination areas. Bandung, Cirebon, and Ciletuh and their surroundings are included in the three priority areas of tourist destinations in West Java. Ciletuh and its surrounding tourist destinations have the lowest search popularity compared to Bandung and Cirebon areas. This study aimed to determine the level of satisfaction of tourists visiting the Ciletuh area and its surroundings. This study uses sentiment analysis using the orange application with the Vader method for sentiment classification and Ekman for emotion classification. The data is taken from Google Maps and Google Reviews in English in Ciletuh and surrounding tourist destinations using web scraping techniques. The sentiment analysis results show that tourists visiting Ciletuh and its surrounding tourist destinations have a high level of satisfaction. Positive sentiment on reviews reached 77.56%, neutral sentiment 17.15%, and negative sentiment 5.29%. The emotion classification analysis was dominated by joy at 61.5%, followed by surprise, fear, sadness, anger, and disgust. Many negative sentiments and emotions are related to difficult road access to tourist attractions. This research is expected to be input for stakeholders regarding positive and negative reviews on Ciletuh tourist destinations and their surroundings. Keywords: Sentiment Analysis, Ciletuh, Review, Tourist
Penambangan Teks Pada Tujuan Wisata di Bandung Raya (Studi Kasus: Tangkuban Perahu dan Kawah Putih) Abdurrahman Rahim Thaha; Fauzan Aziz
Jurnal Sekretaris dan Administrasi Bisnis Vol 4 No 2 (2020): Jurnal Sekretaris dan Administrasi Bisnis
Publisher : LPPM Universitas Taruna Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31104/jsab.v4i2.172

Abstract

Indonesia has a variety of tourism destinations that attract domestic and foreign tourists. The level of foreign tourist arrivals in 2019 has reached 16 million tourists from various countries. The tourism sector occupies the fourth position as the largest foreign exchange earner for the country, amounting to the US $ 20 billion. West Java is one of the provinces in Indonesia which has a variety of tourism potentials that attract domestic and foreign tourists. One of the three main tourist destinations in West Java is Bandung Raya with nature theme destinations namely Tangkuban Perahu and Kawah Putih. One factor that drives the tourism industry to develop is tourist comfort. Tourist comfort can be seen from tourist reviews on various travel sites. The development of information communication technology makes a variety of information and data reviews of a tourist spot can be accessed quickly. Review in traveling site can be used as a reference for tourists’ tourism destinations and provide feedback for relevant stakeholders. One of the biggest travel review sites in the world is Trip Advisor. The purpose of this study is to analyze the reviews on two nature-themed tourism objects namely Tangkuban Perahu and Kawah Putih to obtain valuable information. This method is done by using text mining on all English-language reviews on the Trip Advisor site on tourism object. The steps are to collect data, preprocessing data, matrix term documents. Output consist of term frequency, word cloud and sentiment analysis with emotional classification. Research findings illustrate that text mining can be applied to travel reviews for tourism destinations in Indonesia. Obtained analysis related to tourist destination ratings above the average that can still be improved, the frequency of tourist terms filled with positive words even though expensive word appear, Ekman's emotional sentiment classification is dominated by emotional joy which means tourists feel comfortable in enjoying the tourism object, and emotional sentiment term frequency of sadness and anger can be stakeholder input for tourism destinations. Keywords: tourism destination, text mining, review, Bandung, sentiment analysis
Co-Authors Adi Permana Sidik AGUS PRIYANTO Agus Priyanto Agus Santosa Agus Santosa Aji Fajar Suryo Antoro Akbar, Yonarisman Muhammad Amud Sunarya Amud Sunarya Arie Aryanto, Arie Astri Wulandari Ati Mustikasari Barick Ahmad Setiawan Cherly Kemala Ulfa Darmanto Darmanto Dedy Juniadi Deni Nurdyana Hadimin Dwi Rahmawati Fachry Abda El Rahman Fadilla, Sarah Fauzan Aziz Hayun Setiawan Hersusetiyati Hersusetiyati INDRA PRATAMA PUTRA SALMON Iwan Henri Kusnadi Jufri Yandes Juliana, Ari Kuncoro, Setyo Luki Natika Ma"ruf, Nizar Abdan Muhammad Dadi Priadi Muhtarom Nadia Febriani Nizar Abdan Ma"ruf Nugroho, Sapto Setyo Nurhayati, Syafiqoh Pramuji, Mochammad Chandra Pupi Indriarti Zaelani Rachman, Reza Saeful Rahmat Budiman Rahmat Hidayat Riau, Dwi Putranto Rita Purnamasari Roni Tabroni Sandra Irawaty Sanusi, Nunung Sarah Fadilla Setyo Kuncoro Setyo Kuncoro Siti Aisyah Sri Widaningsih Suryani, Ai Tatang Sudrajat Utami, Rezki Aguswidya Widyapuri Prasastiningtyas Wiradharma, Gunawan Witri Cahyati Yadiman Yadiman Yulinda Eliskar Yuyun Yuniarsih