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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Mirai Management Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika Jurnal INSYPRO (Information System and Processing) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SEIKO : Journal of Management & Business AkMen JURNAL ILMIAH Jurnal Nasional Komputasi dan Teknologi Informasi EQIEN - JURNAL EKONOMI DAN BISNIS YUME : Journal of Management Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Movere Journal International Journal of Economy, Education and Entrepreneurship (IJE3) Nobel Management Review Jurnal Manajemen Perbankan Keuangan Nitro International Journal of Multidisciplinary Research and Literature (IJOMRAL) Journal Online Manajemen ELPEI (JOMEL) KENDALI: Economics and Social Humanities Jurnal Aplikasi Manajemen & Kewirausahaan MASSARO Jurnal Bisnis dan Kewirausahaan Nobel Community Services Journal
Mashur Razak
STMIK Handayani Makassar
Aerospace Engineering 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 Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Physics Social Sciences Transportation Other

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Aspect-Based Sentiment Analysis of Tourist Attractions in Labuanbajo Using the Transformer Model as a Recommendation for Improving Service Quality Nur, Sadikah; Sahibu, Supriadi; Razak, Mashur
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11565

Abstract

Labuan Bajo as super-priority destinations experience improvement visit in a number of year lastly, however quality service Not yet fully fulfil expectation tourists . Study This analyze perception traveler through Aspect-Based Sentiment Analysis (ABSA) approach using the IndoBERT model. A total of 2,564 reviews multilingual from Google Maps and TripAdvisor processed through translation, pre-processing, extraction aspects, sentiment labels automatic, and model training. Four aspects analyzed based on framework SERVQUAL theory and Tourism Destination Quality: attractions, amenities, accessibility, and price. Model evaluation was conducted using precision, recall, and F1-score per aspect. The results show performance best The amenity and attraction aspects obtained the highest and most consistent scores across all metrics (around 0.83–0.88), indicating that reviews for these two aspects were more explicit and easily mapped by the model. In contrast, the access and price aspects showed lower scores (around 0.65–0.72), indicating linguistic challenges such as implicit aspects, variations in the context of the travel experience, and figurative complaints . The study This give recommendation policy connected data based direct with model findings. Limitations such as translation noise, biased datasets dominated by review positive-neutral, and not existence baseline comparison also discussed. These results confirm that ABSA approach can help stakeholder’s policy, however Still need improvement through other models such as IndoBERTweet, mBERT, or IndoBART.
Pengaruh Beban Kerja dan Kompensasi terhadap Kinerja Dosen melalui Kepuasan Kerja sebagai Variabel Intervening di Universitas Muhammadiyah Enrekang Nurlativa Beta; Razak, Mashur; Didi Haryono
Movere Journal Vol. 8 No. 1 (2026)
Publisher : Sekolah Tinggi Ilmu Ekonomi (STIE) Tri Dharma Nusantara Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53654/mv.v8i1.741

Abstract

Abstract: This research  aims to analyze the influence of Workload and Compensation on Lecturer Performance through Job Satisfaction at the University of Muhammadiyah Enrekang." The analytical tool used in this research is SEM-PLS, while the population in the research is 82 lecturers at Muhammadiyah University Enrekang. The sample used in this research was 82 people. This research aims  to analyze the influence of compensation on lecturer performance, to analyze the influence of workload on performance  to analyze job satisfaction on lecturer performance, to analyze the influence of workload on job satisfaction, To analyze the influence of Compensation on Job atisfaction, To analyze the influence of Workload on lecturer performance through Job Satisfaction at Muhammadiyah University Enrekang,  To analyze the influence of workload on lecturer performance through Job Satisfaction at Muhammadiyah University Enrekang .
Pengaruh Kualitas Pelayanan Dan Kepercayaan Terhadap Kepuasan Pasien Pengguna Bpjs Rawat Jalan Melalui Reputasi Rsud Regional La Mappapenning Kabupaten Bone Ramadani, Reski; Razak, Mashur; Razak, Novita
Jurnal Online Manajemen ELPEI Vol 6 No 1 (2026)
Publisher : STIM-LPI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58191/jomel.v6i1.469

Abstract

The purpose of this study is to (1) analyze the effect of service quality on outpatient satisfaction at La Mapapenning Regional Hospital Bone Regency (2) analyze the effect of trust on outpatient satisfaction at La Mapapenning Regional Hospital Bone Regency (3) analyze the effect of service quality on the reputation of La Mapapenning Regional Hospital Bone Regency (4) analyze the effect of trust on the reputation of La Mapapenning Regional Hospital Bone Regency (5) analyze the effect of BPJS outpatient satisfaction on the reputation of La Mappenning Regional Hospital, Bone Regency (6) analyze the effect of service quality on outpatient satisfaction through the reputation of La Mapapenning Regional Hospital Bone Regency (7) analyze the effect of trust on outpatient satisfaction through the reputation of La Mapapenning Regional Hospital Bone Regency. The population in this study were all outpatients at La Mappapenning Regional Hospital with a sample of 150 respondents based on the results of the Slovin formula. The analysis method used in this study uses smart PLS testing, descriptive analysis, and hypothesis testing. The results of this study indicate that (1) Service quality has a positive and significant effect on patient satisfaction (2) Trust has a positive and significant effect on patient satisfaction (3) Service quality has a positive and significant effect on hospital reputation (4) Trust has a positive and significant effect on hospital reputation (5) Patient satisfaction has a positive and significant effect on hospital reputation (6) Service quality has a positive and significant effect on patient satisfaction through hospital reputation (7) Trust has a positive and significant effect on patient satisfaction through hospital reputation.
Pengaruh Kompensasi dan Lingkungan Kerja Terhadap Kinerja Karyawan Melalui Kepuasan Kerja Sebagai Variabel Intervening Pada Al Mubarak Cendekia Islamic School Jamaluddin, Sitti Lathifah; Mashur Razak; Sujatmiko
Jurnal Online Manajemen ELPEI Vol 6 No 1 (2026)
Publisher : STIM-LPI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58191/jomel.v6i1.487

Abstract

This study aims to analyze the influence of compensation and work environment on employee performance through job satisfaction as an intervening variable at Al Mubarak Cendekia Islamic School. This study uses a quantitative approach with a survey method. Data was obtained through the distribution of questionnaires to employees of Al Mubarak Cendekia Islamic School. Data analysis was carried out using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method with the help of SmartPLS 4 software to test the direct and indirect relationships between the research variables. The results of the study show that (1) Compensation has a positive and significant effect on employee performance at Al Mubarak Cendekia Islamic School. (2) The work environment has a positive and insignificant effect on employee performance at Al Mubarak Cendekia Islamic School. (3) Job satisfaction has a positive and significant effect on employee performance at Al Mubarak Cendekia Islamic School. (4) Compensation has a positive and significant effect on job satisfaction at Al Mubarak Scholar Islamic School. (5) The work environment has a positive and significant effect on job satisfaction at Al Mubarak Cendekia Islamic School. (6) Compensation has a positive and significant effect on employee performance through job satisfaction at Al Mubarak Cendekia Islamic School. (7) The work environment has a positive and significant effect on employee performance through job satisfaction at Al Mubarak Cendekia Islamic School. Keywords : Compensation, Work Environment, Employee Performance, Job Satisfaction.
Analysis of Cryptocurrency Candlestick Patterns using Gramian Angular Field and Hybrid Deep Learning Hasriadi, Hasriadi; Razak, Mashur; Jalil, Abdul
SISTEMASI Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i2.5883

Abstract

Cryptocurrency markets such as Bitcoin, Ethereum, and Solana exhibit high volatility, making price forecasting difficult when relying solely on conventional technical analysis. This study aims to analyze cryptocurrency candlestick patterns by utilizing Gramian Angular Field (GAF) representations and to evaluate the performance of a hybrid deep learning model combining CNN–LSTM–Transformer to support investment decision-making. The proposed method involves processing daily historical Open, High, Low, and Close (OHLC) data from three major cryptocurrency assets: Bitcoin (BTC-USD), Ethereum (ETH-USD), and Solana (SOL-USD), covering the period from January 1, 2020, to September 30, 2024, obtained from Yahoo Finance. The time-series data were transformed into 64×64 pixel GAF images and used to train a baseline CNN model as well as a hybrid CNN–LSTM–Transformer model. Model evaluation was conducted across multiple forecasting horizons, including 1 day, 7 days, 30 days, 180 days, and 1 year, and was further complemented by real-time testing using the CoinGecko API in March 2025. The results indicate that the hybrid model achieved the best performance at different horizons for each asset: BTC-USD at the 30-day horizon with an R² of 0.971 and an SMAPE of 0.77%, ETH-USD at the 1-year horizon with an R² of 0.948 and an SMAPE of 0.81%, and SOL-USD at the 1-year horizon with an R² of 0.910 and an SMAPE of 4.72%. Real-time testing demonstrated that the model consistently captured the overall price movement trends despite high market volatility. It can be concluded that the integration of GAF representations and the hybrid CNN–LSTM–Transformer model has strong potential to enhance cryptocurrency candlestick analysis and can be utilized as a component of a Decision Support System for digital asset investment.
Co-Authors Abdul jalil Abdul Latief Arda Abdul Wahab Achmad Gani achmadi achmadi achmadi Agunawan Agunawan Ahmad Firman Amir Amir Andi Indriapati Andi Muhammad Ridwan ANITHA NITA TAHIR Anshar, Muh. Ashary Arwien, Riswin Arwien Asri Asri Astik Martini Martini Badaruddin Bambang Suharnanto Barhaman Barhaman Didi Haryono Djalante, Andi Djasim, A. Kachsyfur Fatmasari Fatmasari Fatmasari Fatmasari Fatmawati Fatmawati Fiqri Haikal Gusti, Didiek Handayani Haedar Dahing Haeruddin Harlinda Harniati Arfan Harlindah Harniati Harun, Rusni Haryono, Didi Hasriadi, Hasriadi Hazriani, Hazriani Hengky Yasing Ibnu Munzier Hasri Gani Jamaluddin, Sitti Lathifah Japaruddin Japaruddin Jeni Kamase Kamaluddin, La Ode Amijaya Kartini Jafar Khaeriah Khaeriah Khaerullah H Khaerullah H Khaerullah H, Khaerullah H Lili Handayani, Lili M. Ihsan Indra Jaya Maryanita, Maryanita Masdar J Pratama Maslim Maslim, Maslim Megawaty, Megawaty Mudinillah, Adam Muh. Ashary Anshar Muhammad Amin Muhammad Hdayatullah Rahman Muhammad Hidayat Muhammad Hidayat Muhammad Hidayat Muhammad Rizal Mukhtar Hamzah Muliana Muliana Mulyawan Amin Nadya Utari Gunawan Nur Ainun Alwi Nur Baya Nur, Sadikah Nuraeni Nuraeni Nurbayati Nurbayati Nurjannah Nurjannah Nurlativa Beta Qadri, Khaerul Rabi’a H Maudjik Rahmat Saleh Rahmawaty, Ika Razak, Novita Reski Ramadani, Reski risman Umar Rosnaini Daga Safirah Syihab Sahibu, Supriadi Salam, Erick Salam, Riswan Sarial Budi Saripuddin D Sry Devianty Subriah Subriah Suharnanto, Bambang Suharnanto, Bambang SUJATMIKO Sujatmiko Sujatmiko Surianti Surianti Surianto Surianto Sutiara, Sutiara Syamsul Alam Syarifuddin Syarifuddin Yusnani Yunus YUSRI YUNUS Yuyun Zainuddin Mustapa