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All Journal MEDIA ELEKTRIKA Jurnal Teknologi Informasi dan Ilmu Komputer JUSIFO : Jurnal Sistem Informasi Seminar Nasional Informatika (SEMNASIF) Sistemasi: Jurnal Sistem Informasi Justek : Jurnal Sains Dan Teknologi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI International Journal of New Media Technology Jurnal Sisfokom (Sistem Informasi dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Sistem informasi dan informatika (SIMIKA) Santika : Jurnal Ilmiah Sains dan Teknologi Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Cakrawala Repositori Imwi Community Empowerment Jurnal Computer Science and Information Technology (CoSciTech) IICS J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra Jurnal AKAL: Abdimas dan Kearifan Lokal
Adhitia Erfina
Nusa Putra University
Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Materials Science & Nanotechnology Mathematics Public Health Social Sciences Transportation Other

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Journal : Jurnal Sisfokom (Sistem Informasi dan Komputer)

 1 
Prediction of SDG 6.2 Achievement in Indonesia Using Double Exponential Smoothing Nabila, Nazwa; Erfina, Adhitia; Warman, Cecep
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i3.2411

Abstract

This research aims to forecast Indonesia’s progress in achieving Sustainable Development Goal (SDG) 6.2, which targets 100% access to adequate sanitation and elimination of open defecation (OD) by 2030. The Double Exponential Smoothing (DES) method was used on provincial time series data from 2013–2024 (sanitation) and 2020–2024 (OD), with performance evaluated using Mean Absolute Percentage Error (MAPE). Results showed consistently high forecasting accuracy, with DKI Jakarta (0.99%), South Sulawesi (1.87%), and DI Yogyakarta (2.21%) among the most accurate for sanitation, and Maluku (2.79%), Papua (3.03%), and Gorontalo (4.49%) for OD. Spearman correlation analysis revealed a strong national negative correlation (r = –0.991, p < 0.001) between sanitation access and OD. However, provinces like DKI Jakarta (+0.36) and DI Yogyakarta (+0.86) showed positive anomalies, indicating behavioral gaps despite infrastructure growth. These findings clearly highlight the importance of integrating behavioral interventions and localized strategies to effectively accelerate progress toward SDG 6.2.
Fine-Tuned IndoBERT for Aspect-Based Sentiment Analysis of Indonesian Five-Star Hotel Reviews Apriliani, Sinta; Erfina, Adhitia; Warman, Cecep
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 4 (2025): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i4.2491

Abstract

Online reviews significantly shape public perception and play a crucial role in customer decision-making within the hospitality sector. This research aims to conduct aspect-based sentiment analysis on Indonesian five-star hotel reviews using a fine-tuned IndoBERT model. Unlike prior studies that mainly applied IndoBERT to single hotels or small-scale datasets, this study fills that gap by examining 2,499 reviews collected from five luxury hotels in Jakarta. The analysis focuses on five essential service aspects: cleanliness, service quality, room comfort, food & beverages, and core facilities. The IndoBERT-base model was fine-tuned with annotated aspect-sentiment data and assessed using accuracy, precision, recall, F1-score, and confusion matrices. Experimental results show that the model reached 95.28% accuracy with a macro F1-score of 82.44%. Positive sentiment dominated the reviews (81.4%), while neutral and negative sentiments represented 16.9% and 1.7%, respectively. Service, along with food & beverages, received the highest praise, whereas cleanliness and core facilities were more often evaluated neutrally. Aspect and sentiment annotations were carried out semi-automatically using large language models (LLMs) and later validated by human annotators to ensure reliability. These findings highlight IndoBERT’s strong capability in aspect-based sentiment classification for Indonesian hotel reviews and provide actionable insights for hotel managers to enhance service quality. Moreover, this study demonstrates both the academic and practical significance of applying fine-tuned Transformer models to real-world customer experience analysis.
Co-Authors Acep Saepulrohman Andini Wangsa Putri Anggun Fergina Apriliani, Sinta Carti Irawan Cecep Warman Dede Sukmawan Dhea Lestari Didit Supriyadi Dinda Tasya Mahardika Dudih Gustian Egi Salehudin Basryah Elok Setianingtyas falentino sembiring Gina Syabani Gustian, Dudih Hidayat, Ainul Haq Nurridha Warahmat IVANA LUCIA KHARISMA Jatmiko, Wisuda Juandi Hadi Juhdi Rosadi Kamdan Karim, Khobir Abdul Lestari, Rita Ajeng M. Havidz Alkautsar Melawati Melawati Melawati Moh. Abd. Aziz Hidayat Mohammad Daniel Gumilar Muchtar Ali Setyo Yudono Muhamad Anton Permana Muhamad Fajar Muhamad Fani Al-shufi Muhammad Ikhsan Thohir Muhammad Iqbal Jauharuzzaman Muhammad Ramdani Mupaat Mupaat, M Murweni, Ira Muslih, Muhamad Nabila, Nazwa Neng Mira Indri Anggraeni Neng Resti Wardani Neng Sri Intan Septiani Nunik Destria Arianti Pratama Haditua Reyner Siregar Retna Ayu Puspatarini Retna Ayu Puspatarini Risma Meidawati Rusdiana Rita Ajeng Lestari Saepudin, Sudin Sastradipraja, C K sihabudin sihab Solihin, Hanhan Hanfiah Sri Lestari Tarikh Agusti Ijudin Tarikh Agustia Ijudin Tarikh Agustia Ijudin Theresia Septiani Nainggolan Tofik Hidayat Utami, Dian Siti Wafa Nur’aeni Warman, Cecep wiguna, sindy indira Wisuda Jatmiko Yoga Vikriansyah Yoga Vikriansyah Wijaya