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All Journal E-Jurnal Medika Udayana Jurnal Ilmiah Kursor Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi International Journal of Artificial Intelligence Research Jurnal Biologi Tropis RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro JMM (Jurnal Masyarakat Mandiri) Lectura : Jurnal Pendidikan Jurnal Pengabdian Magister Pendidikan IPA Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan Publik JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Local Government Issues JURNAL KESEHATAN DELIMA PELAMONIA Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Indonesian Journal of Electrical Engineering and Computer Science JIIP (Jurnal Ilmiah Ilmu Pendidikan) Science Midwifery Jifosi Heart Science Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara MESA (Teknik Mesin, Teknik Elektro, Teknik Sipil, Teknik Arsitektur) Jurnal Teknik Informatika (JUTIF) Jurnal Aksioma Al-Musaqoh Jurnal Kesehatan Tambusai Jurnal Ilmiah Wahana Pendidikan ELIPS: Jurnal Pendidikan Matematika Caring : Jurnal Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Al Khidma: Jurnal Pengabdian Masyarakat INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Prosiding Konferensi Nasional PKM-CSR Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya JUSIFOR : Jurnal Sistem Informasi dan Informatika eProceedings of Engineering Indonesian Journal of Innovation Multidisipliner Research Kohesi: Jurnal Sains dan Teknologi Jurnal INFOTEL Journal of Technology and System Information
Basuki Rahmat Masdi Siduppa
Institut Ilmu Kesehatan Pelamonia Kesdam XIV Hasanuddin
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Stacking Ensemble of XGBoost, LightGBM, and CatBoost for Green Economy Index Prediction Salsabilah, Andini Fitriyah; Rahmat, Basuki; Puspaningrum, Eva Yulia
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2530

Abstract

Indonesia faces persistent challenges in achieving sustainable development, particularly in harmonizing economic growth with environmental sustainability. The imbalance among economic, social, and environmental dimensions necessitates a comprehensive and reliable measurement tool to assess progress toward a green economy. The Green Economy Index (GEI), developed by the Ministry of National Development Planning (BAPPENAS), serves this function. However, limited data availability at the provincial level, such as in East Java, hampers accurate evaluation and informed policy formulation. This study aims to develop a machine learning-based predictive model for the GEI using a stacking ensemble approach that combines three powerful algorithms: XGBoost, LightGBM, and CatBoost. The model was built using relevant economic, social, and environmental indicators and evaluated on a holdout dataset to assess its predictive accuracy and generalizability. The results show that the stacking ensemble model achieved superior performance compared to the individual models, recording an RMSE of 0.0298, MAE of 0.0225, and the R² score of 0.9774. In comparison, CatBoost, XGBoost, and LightGBM individually performed with slightly lower accuracy. These findings confirm that the stacking ensemble approach is highly effective for predicting GEI values and offers a practical, data-driven solution for supporting sustainable development strategies at the regional level. The study concludes that such predictive tools can significantly enhance policy planning and monitoring of green economic growth, although further research is recommended to validate the model across other provinces.
Hypothyroidism: A Literature Review Hardiant, Excell Defry; Adidaifa, Muhammad Fikri; Salsabila, Tsania Zulfa; Maulana, Muhammad Rafi; Salsabila, Baiq Ghefira Rojwani Putri; Untari, Lania Pradiva; Suryani, Elsa Indah; Paradiesta, Andi Frieskha Naurah; Savitri, Puti Amelia; Rahmat, Basuki
Jurnal Biologi Tropis Vol. 25 No. 3 (2025): Juli-September
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i3.10033

Abstract

Hypothyroidism is a condition in which the thyroid gland is unable to produce enough hormones to meet the body's needs. This condition causes a slowed metabolism, which can lead to various symptoms such as fatigue, weight gain, dry skin, hair loss, constipation, cold intolerance, and facial puffiness. Given the widespread impact of hypothyroidism and the potential for serious complications, special attention is needed for early detection, diagnosis, and effective treatment of hypothyroidism. This literature review was conducted using journal review methods and data searches through sources such as PubMed, Google Scholar, and ScienceDirect. The search used the keywords "hypothyroidism," "hypothyroid," "thyroid gland," and "Hashimoto's thyroiditis." The results of the literature review found that the main cause of hypothyroidism is Hashimoto's thyroiditis, an autoimmune disease in which antibodies attack the thyroid gland. Hypothyroidism is diagnosed by examining elevated TSH and decreased free T4 levels, as well as anti-TPO antibody tests to detect Hashimoto's thyroiditis. Treatment for hypothyroidism generally involves administering levothyroxine, a synthetic thyroid hormone, to replace the deficient hormone and normalize metabolic function. Healthy lifestyle support, such as diet and stress management, is also important to help optimally manage this condition. In conclusion, hypothyroidism is characterized by a decrease in thyroid hormone production and preventive management is pharmacological in the form of levothyroxine, while non-pharmacological management is in the form of regulating food intake.
Utility-Based Buffer Management for Enhancing DTN Emergency Alert Dissemination in Jakarta's Urban Rail Systems Agussalim, Agussalim; Viet Ha, Nguyen; Putra, Handie Pramana; Adila, Ma’ratul; Diyasa, I Gede Susrama Mas; Rahmat, Basuki
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5241

Abstract

The efficiency of emergency alert dissemination in highly populated and densely urban transport networks, such as Jakarta's integrated rail system, is undermined by sporadic connectivity and limited network resources. In this environment, an initial comparison of baseline Delay-Tolerant Network (DTN) routing protocols revealed that flooding-based routers, such as Epidemic, while achieving above-average delivery rates, suffered from high overhead and poor buffer utilization. This paper fills this gap by proposing the Combined Utility Router, a novel buffer management policy that overcomes the limitations of naive strategies, such as Drop-Oldest. Our approach holistically evaluates a message's value by assigning a weighted utility function based on its Time-To-Live (TTL), estimated total replicas, message size, and a user-defined priority. The router maintains high-value messages by discarding the message deemed the lowest utility score under the buffer constraint. Utility-based simulations in The ONE simulator demonstrate that applying our approach to Epidemic routing improves delivery probability, reduces average latency in high network congestion scenarios, while maintaining overhead rates. This work confirms that, in the context of developing reliable and efficient emergency communication systems for challenging urban topographies, optimizing buffer management extends beyond simply selecting the appropriate protocol.
Lung Function in Traditional Breath-Hold Diving Fishermen at Impos Beach, Medana District, North Lombok, West Nusa Tenggara Widiastuti, Ida Ayu Eka; Susani, Yoga Pamungkas; Affarah, Wahyu Sulistya; Wardoyo, E. Hagni; Rahmat, Basuki; Haryanto, Wawan
Jurnal Biologi Tropis Vol. 24 No. 1 (2024): Januari - Maret
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v24i1.6645

Abstract

West Nusa Tenggara is an archipelago province with a high potential for marine resources and fisheries, allowing many inhabitants to make a living as fishermen. Some fishermen obtain their livelihood by diving with minimal or inadequate diving equipment. They are known as traditional diver fishermen. Various health risks can be experienced by them, including respiratory system health. This research aims to determine the lung function, including Forced Vital Capacity (FVC), Forced Expiratory Volume in 1 second (FEV1), and the FEV1/FVC ratio in traditional diver fishermen who dive using the breath-hold diving technique, as well as the characteristics of their diving activities. This research is a cross-sectional study with samples obtained through consecutive sampling techniques. The research subjects comprised 23 traditional diver fishermen in Impos Beach, Medana Sub-district, North Lombok District. A descriptive analysis was conducted on the data obtained. The research results showed that the average values of FVC and FEV1 were 3.27 L/minute and 3.004 L/minute, respectively, while the FEV1/FVC ratio obtained was 91.86%. On average, they dive 4.26 times per week, and all of them perform pressure equalization maneuvers to prevent barotrauma. Before diving, 12 subjects (52.17%) performed warm-up exercises, including stretching. After diving, none of the subjects take a hot shower, get a massage, or engage in strenuous activities. The lung function of the research subjects was normal, and they have taken preventive measures to avoid diving-related illnesses.
Co-Authors Abdurrahman, Nizar Abdurraman, Abdurraman Achmad Ali Muayyadi Achmad Junaidi Adi Laksono, Surya Adidaifa, Muhammad Fikri Adila, Ma’ratul Afandi, Azhar Agung Satrio Nugroho Agus Khumaidi Agussalim, Agussalim Ahmad Sugiana ajibekti, ari Akbar, Iqbal Imani Khoirul Akbar, Nugraha Malik Aminuyati Anak Agung Ayu Niti Wedayani Andreas Nugroho Sihananto Angga Rusdinar Anwar, Mochamad Saiful Ardi Pramono Arifin, Moehammad Riyadh Arifuddin, Asyima Aristya Nur, Dey Salwa Arrosyid, Muhammad Habib Arsatt, Maz Isa Ansyori Arum Prabowo, Galih Asmara, Hadhimulya Aspar, Hukmiyah Atsani, Nadhifah Azizah, Ratih Nuur Azmi, Naurah Arika Bagus Kantwa Abhimantra, Gede Basuki Rahmat Budi Nugroho Dewi, NI Putu Wahyu Eastiya Dian Puspita Sari Dianita Wardani Diyasa, I Gede Susrama Mas Dyah Purwaningrum Elvira Sari Dewi Erixno, Oon Erlangga, Heri Eva Yulia Puspaningrum Fahanani, Agwin Fahmi Farahdiba, Idha Fariztia, Alifia Intan Fathoni, Jazimah Nur Fauzan Novriandy, Muhammad Febriano, Luis Figo Fetty Tri Anggraeny Geofany, Shania Ardelia Hardiant, Excell Defry Harliza, Baiq Fanindya Hartanto, Beni Haryanto, Wawan Hasan Hasan Hasanah, Hesti Dwi Puteri Henni Endah Wahanani Herawati, Yoshi Inne Hilman, Acep Humam, Anang Muh. Nufal I Gede Putu Oka Indra Wijaya Ida Ayu Eka Widiastuti Idhana, Ilham Ainur idhom, Mohammad Indrayana, Yanna Indriyanti, Anggi Iqlima, Aisya Yafis Irsyad, Ananda Muhammad IRSYADI, FAKIH Irwan, Hadriani Islamy, Habiel Jangkung Raharjo Karmila Karmila karmila karmila Kartini Kartini Khilda Afifah Kristianingrum, Niko Dima Kumboyono Kumboyono Kusminah, Imah Luluk linda mayasari, linda Lizard Sambawo Dimara, Denis Lukman, Dian Azizah M Darfyma Putra Makbul Muksar Matalangi, Matalangi Maulana Herza, Fakhri Maulana, Asrul Maulana, Hendra Maulana, Muhammad Rafi Moh. Sidik Priadana Mohamad Ramdhani Mohede, Nadif Rayhan Julio Mudzakir, Mohammad Alfian Muhammad Muharrom Al Haromainy Muhammad Ridho Rosa Muhammad Zakiyullah Romdlony Muyasaroh Nadhifah, Umi Ngkolu, Nurmulia Wunaini Nisrina, Safira Fegi Nur Firmansyah, Taufik Nurchalifah, Jessenia Eldora Nurlaili, Afina Lina Nursyahada, Kesya Pangestu, Arif Fajar Paradiesta, Andi Frieskha Naurah Pintaningrum, Yusra Putra, AASM Meiswaryasti Putra, Handie Pramana Rah Adi Fahmi Ginanjar Rahman, Moch. Aulia Ramadhan, Dimasfika Rizqi Ramadhani, Farah Rasjid, Azka Avicenna Ratantja Kusumajati, Fatwa Rendy Munadi Rifki Rahman Nur Ikhsan Rijali, Muhammad Rizal Fahmi Romi Ermawan, Romi S Sudirman, S Sajiwo, Achmad Fauzihan Bagus Salsabila, Baiq Ghefira Rojwani Putri Salsabila, Tsania Zulfa Salsabilah, Andini Fitriyah Salsabilah, Maida Sania Samad, Mohammad Ardani Samsul Hadi Sardjasasmita, Agi Sari, Putu Suwita Sari Savitri, Puti Amelia Setyaningsih, Diva Ayu Sinaga, Keysha Angelica Sugeng Santoso Sugiyarto Sugiyarto Sulthan Ahmad Suryani, Elsa Indah Susrama Mas Diyasa, I Gede Swastirani, Astika Syadilla, Iryne Putri Syarif, Darmiati Syihabuddin, Muhammad Tsuru, Masato Ubai Dillah Umi Narimawati Untari, Lania Pradiva Viet Ha, Nguyen Wahyu Sulistya Affarah, Wahyu Sulistya Wahyuningsih, Pujianti Wardoyo, E. Hagni Widi Saputro, Tegar Wulandari, Ikrawanty Ayu Yoga Pamungkas Susani Yustika, Lindiasari Martha