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All Journal E-Jurnal Medika Udayana Jurnal Ilmiah Kursor Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Jurnal Biologi Tropis RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro JMM (Jurnal Masyarakat Mandiri) NUSANTARA : Jurnal Ilmu Pengetahuan Sosial 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) JOISIE (Journal Of Information Systems And Informatics Engineering) Journal of Local Government Issues JURNAL KESEHATAN DELIMA PELAMONIA Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech ILKOMNIKA: Journal of Computer Science and Applied Informatics JATI (Jurnal Mahasiswa Teknik Informatika) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics 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 Mamba'ul 'Ulum INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Prosiding Konferensi Nasional PKM-CSR Jurnal Kesehatan Delima Pelamonia Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya JUSIFOR : Jurnal Sistem Informasi dan Informatika Cerdika: Jurnal Ilmiah Indonesia eProceedings of Engineering Indonesian Journal of Innovation Multidisipliner Research Kohesi: Jurnal Sains dan Teknologi Jurnal INFOTEL Journal of Technology and System Information Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Implementasi Pengabdian Masyarakat Kesehatan Indonesian Journal of Innovation Multidisipliner Research
Basuki Rahmat Masdi Siduppa
Institut Ilmu Kesehatan Pelamonia Kesdam XIV Hasanuddin
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Sistem Navigasi Otonom Robot Pembersih Kaca untuk Gedung Bertingkat Karim, Mohammad Wafi Nabil; Sumaryo, Sony; Rahmat, Basuki
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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

Abstract

Abstrak — Pembersihan jendela pada gedung bertingkatmerupakan pekerjaan berisiko tinggi yang menuntut efisiensidan keamanan. Untuk mengatasi tantangan tersebut, penelitianini bertujuan mengembangkan sistem navigasi otonom yangandal untuk robot pembersih jendela. Fokus utama penelitianadalah merancang sistem yang mampu bergerak secaramandiri di permukaan kaca vertikal yang datar, denganbatasan operasional pada kondisi cuaca yang mendukung untukmenjamin kinerja optimal. Metodologi penelitian ini diterapkansecara sistematis, diawali dengan studi literatur mendalamuntuk mengkaji teknologi navigasi dan fusi sensor yang relevan.Tahap selanjutnya adalah perancangan arsitektur sistem, yangmencakup pengembangan mekanisme navigasi presisi sertasistem kontrol gerak. Rancangan tersebut kemudian divalidasimelalui simulasi sebelum diimplementasikan pada perangkatkeras. Kunci dari implementasi ini adalah integrasi strategisantara Complementary Filter dan Kalman Filter. Kombinasikedua filter ini sangat krusial untuk mengolah data sensorsecara akurat, memastikan robot dapat menjaga stabilitasorientasi dan keakuratan posisi selama menjalankan tugaspembersihan. Tahap akhir penelitian meliputi analisis hasiluntuk mengevaluasi performa dan keandalan sistem navigasiyang telah dikembangkan.Kata kunci— Robot Pembersih Jendela, NavigasiOtonom, IMU, Ultrasonik, Kontrol Filter.
Patterned Dataset Model Optimization to Predict Bitcoin IDR Price using Long Short Term Memory Parlika, Rizky; Isnanto, R Rizal; Rahmat, Basuki
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.4036

Abstract

The goal of this study was to determine the optimal combination for optimizing the Patterned Dataset Model, particularly in patterned datasets during periods of price decline (crash).  In previous research, the Crash Patterned Dataset has been shown to predict the next Bitcoin price. In this study, an experiment was conducted using a combination of prediction models, including ARIMA, machine learning, and deep learning. This research was conducted in 3 stages. The first stage is to compare the error results from the Bitcoin pair IDR crypto asset prediction process, which are part of the stored data from the patterned dataset under crash conditions. This dataset was tested with several prediction models, and the LSTM model with 60 seconds of resampling produced the best results, with an MAPE of 0.19%. In the second stage, BTCIDR, as part of the data from the patterned dataset in crash conditions, was resampled with variants 1D, 2D, 3D, 4D, 5D, 6D, 7D, 1H, 2H, 3H, 4H, 5H, 6H, 7H, 8H, 9H, 10H, 11H, and 12H. The result is that BTCIDR with a 3H resample has the lowest MAPE, at 1.3%. In the third stage, the prediction process is carried out using the LSTM model on the BTC IDR test dataset (as part of the Patterned Dataset in crash conditions) with a 3H resample. The dataset range is from May 2022 to 2025-01-23 11:05:48. This test predicts the Bitcoin IDR price series for the next 30 days, calculates the MAPE between the predicted series and the actual BTC IDR dataset 30 days later, and evaluates the results. The MAPE value for the Bitcoin IDR price prediction was 9.27%. This indicates that the average prediction error against the actual price is around 9.27%. The main objective of this research is to more accurately predict the price of the Bitcoin-IDR pair, providing additional helpful information for trading cryptocurrencies.
Penguatan Kapasitas Dokter dalam Diagnosis Cedera Penyelaman dan Envenomasi dengan Pendekatan Bahasa Lokal Sasak Susani, Yoga Pamungkas; Affarah, Wahyu Sulistya; Wardoyo, Eustachius Hagni; Sari, Putu Suwita; Rahmat, Basuki; Lestarini, Ima Arum; Muhajir, Alfian; Lestari, Ni Putu Sasmita; Saputra, Nurman
Jurnal Pengabdian Magister Pendidikan IPA Vol 9 No 1 (2026): Januari - Maret 2026
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v9i1.13645

Abstract

Coastal primary care physicians in West Nusa Tenggara (NTB) serve as the frontline responders for diving injuries and marine envenomation, yet their diagnostic capacity for these cases remains limited despite the high likelihood of such incidents in coastal communities. To address this gap, this community engagement activity primarily aimed to enhance physicians’ diagnostic abilities, with the incorporation of Sasak local-language symptom descriptors used as a supporting tool to improve clinical anamnesis and patient communication. An online webinar was conducted involving 114 internship doctors, assessed through a pre-test, post-test, and a Likert-scale evaluation questionnaire. Data were analyzed using descriptive statistics and the Wilcoxon Signed-Rank test. Most participants were from Mataram City (41.23%) and graduates of NTB universities (59.6%). Participants perceived the inclusion of Sasak language terms as highly relevant for improving clinical interactions (mode = 5). The mean test score increased from 133.9 (pre-test) to 165.4 (post-test), with a significant improvement demonstrated by the Wilcoxon test (Z = –4.944; p < 0.001). These findings indicate that the webinar effectively strengthened physicians’ diagnostic capacity for diving injuries and marine envenomation, with local-language familiarity functioning as an additional supportive competency. Further development into a structured anamnesis module incorporating these elements is recommended.
Design and Development of a Web-Based Application for Managing Incoming and Outgoing Letters Using Agile Methodology Masyhuri, Alif Syahda Adji; Rahmat, Basuki; Sari, Anggraini Puspita
ILKOMNIKA Vol 7 No 2 (2025): Volume 7, Number 2, August 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i2.739

Abstract

The management of incoming and outgoing correspondence in government institutions such as the Palesanggar Village Office is still carried out manually, leading to various problems such as delayed recording, difficulty in retrieving archived letters, and potential data loss. This study aims to develop a web-based Incoming and Outgoing Mail Information System to improve administrative efficiency and facilitate the archiving and reporting processes. Data were collected through direct observation, interviews with village officials, and literature review. The system development method used in this research is the Agile model, which consists of requirement analysis, system design, implementation, and testing phases. The result of this study is a web-based information system capable of recording, storing, and displaying data on incoming and outgoing letters in a structured manner and accessible to village staff. System testing shows that the application functions properly and is well received by users. The conclusion of this research is that the developed information system successfully addresses the issues of manual mail management and provides convenience and speed in archiving letter data at the Palesanggar Village Office.
Analisis Performansi Forecasting Harga Saham Amazon Dengan ARIMA, ANN, dan LSTM Syahputra, Chandra Wibawa; Rahmat, Basuki; Al Haromainy, M. Muharrom
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol. 11 No. 2 (2025): Journal CERITA : Creative Education of Research in Information Technology and
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v11i2.3814

Abstract

Stocks are financial instruments traded for profit but come with high risks. Many investors struggle to understand price movements and predict market trends. Various methods, such as ARIMA, ANN, and LSTM, have been developed to forecast stock prices using historical data. This study compares these methods in predicting Amazon's stock prices. The results show that LSTM outperforms the others with a learning rate of 0.001, achieving a MAPE of 1.34% and an RMSE of 3.0501. These findings confirm that LSTM provides higher accuracy for stock market analysis.
OPTIMASI ALGORITMA XGBOOST UNTUK KLASIFIKASI STATUS GIZI BALITA BB/TB MENGGUNAKAN GRIDSEARCHCV Oktaviani, Avi; Rahmat, Basuki; Kartini, Kartini
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 9 No 2 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i2.5601

Abstract

Masalah gizi tetap menjadi perhatian utama kesehatan masyarakat di banyak negara, termasuk Indonesia. Studi ini merancang dan mengevaluasi sistem klasifikasi otomatis untuk status gizi balita berdasarkan indikator berat badan terhadap tinggi badan menggunakan algoritma XGBoost. Dataset terdiri dari 1.763 anak Indonesia berusia 24–60 bulan, dengan status gizi dikategorikan menjadi enam kelas (gizi baik, risiko gizi lebih, gizi kurang, gizi buruk, gizi lebih, obesitas). Variabel prediktor meliputi jenis kelamin, usia dalam bulan, berat badan, tinggi badan, dan skor Z berat badan terhadap tinggi badan. Praproses meliputi pembersihan data, penghapusan duplikat, pengkodean label, standardisasi, dan pembagian data latih-uji 80:20. Model XGBoost dasar dibandingkan dengan model yang disetel menggunakan GridSearch dengan validasi silang 3-fold dan 10-fold. Kinerja dievaluasi menggunakan akurasi, presisi makro, recall makro, skor F1 makro, dan log loss. Model terbaik, XGBoost dengan GridSearch 10-fold, mencapai akurasi 0,8689, skor F1 0,8149, dan log loss 0,3395, lebih baik daripada log loss dasar sebesar 0,4190. Temuan ini menunjukkan bahwa penyetelan hyperparameter XGBoost dengan GridSearch menghasilkan prediksi probabilistik yang terkalibrasi dengan baik dan merupakan alat pendukung keputusan yang menjanjikan untuk deteksi dini kekurangan gizi dan obesitas pada balita di fasilitas perawatan kesehatan primer.
ANALISIS KEMAMPUAN SISWA DALAM MENEMUKAN NILAI MORAL PADA CERITA RAKYAT JAWA GUNUNG TUGEL MATA PELAJARAN BAHASA JAWA KELAS IV MI TERPADU AL MABRUR TAWANGSARI SUKOHARJO TAHUN 2024/2025 Rahmat, Basuki; Nurhidayati, Indah; Praptiningsih, P
MAMBA'UL 'ULUM Vol. 21, No. 2 Oktober 2025
Publisher : Institut Islam Mamba'ul 'Ulum Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54090/mu.935

Abstract

Difficulty in comprehending Javanese, which has a rich vocabulary and many expressions, makes it challenging for students to find the moral values contained within the text. Therefore, the objective of this research is to determine the students' ability to find moral values and to identify the factors influencing their ability to do so in the Javanese folk tale, "Gunung Tugel," for 4th Grade Javanese Language subject. This study uses a descriptive qualitative approach. Data collection techniques involved observation, interviews, and documentation. Data validity was checked using a credibility test with triangulation, utilizing other sources outside the data for cross-checking purposes. The data analysis technique employed the Miles and Huberman model, consisting of Data Reduction, Data Display, and Verification. The results indicate that the students' ability to find moral values in the "Gunung Tugel" story is low. This is reflected in their inability to identify the inherent moral values. Students tend to view the story merely as entertainment without delving into the underlying meaning. This limitation suggests that the development of students' intellectual capacity in evaluating and reflecting on moral values from narrative texts is not yet optimal. Influencing factors include: minimal student interest and motivation towards folk tales, the perception that folk tales are only entertainment, the "Gunung Tugel" story being considered less interesting by some students, and constraints in understanding the language of the story, which becomes the main obstacle in finding the moral values.
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 Agus Supriyanto Agussalim, Agussalim Agussalim, Agussalim Ahmad Sugiana ajibekti, ari Akbar, Iqbal Imani Khoirul Akbar, Nugraha Malik Akbar, Refansya Rachmad Al Haromainy, M. Muharrom Aminuyati Anak Agung Ayu Niti Wedayani Andreas Nugroho Sihananto Angga Rusdinar Anggraini Puspita Sari Anwar, Mochamad Saiful Aprilia, Salma Ardi Pramono Ardo, Sebastian Edric 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 Chandrasa Soekardi Desri Kristina Silalahi Dewi, NI Putu Wahyu Eastiya Dian Puspita Sari Dianita Wardani Diyasa, I Gede Susrama Mas Dyah Purwaningrum Elvira Sari Dewi Enoko, Ebby Dimiyan Erdian, Mochamad Aldyn Erixno, Oon Erlangga, Heri Erwin Susanto Eustachius Hagni Wardoyo Eva Yulia Puspaningrum Fachrezi, Ahriyad 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 Hargianti Dini Iswandari Harliza, Baiq Fanindya Harsono Harsono 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 Ima Arum Lestarini Indah Nurhidayati, Indah Indah Sulistyowati, Indah Indrayana, Yanna Indriyanti, Anggi Iqlima, Aisya Yafis Irsyad, Ananda Muhammad IRSYADI, FAKIH Irwan, Hadrian Irwan, Hadriani Islamy, Habiel Jales Saputra, Dewangga Jangkung Raharjo Karim, Mohammad Wafi Nabil Karmila Karmila karmila karmila Kartini Kartini Kharisma Bani Adam Khilda Afifah Kristianingrum, Niko Dima Kumara, Ghanendra Amru Kumboyono Kumboyono Kusminah, Imah Luluk Lestari, Ni Putu Sasmita linda mayasari, linda Lizard Sambawo Dimara, Denis Lukman, Dian Azizah M Darfyma Putra Makbul Muksar Masyhuri, Alif Syahda Adji Matalangi, Matalangi Maulana Herza, Fakhri Maulana, Asrul Maulana, Hendra Maulana, Muhammad Rafi Moh. Sidik Priadana Mohamad Ramdhani Mohede, Nadif Rayhan Julio Mudzakir, Mohammad Alfian Muhajir, Alfian Muhammad Muharrom Al Haromainy Muhammad Ridho Rosa Muhammad Risal, Muhammad Muhammad Zakiyullah Romdlony Mulyono Mulyono Munawwarah. M, St. Mustafid Mustafid Muyasaroh Nadhifah, Umi Ngkolu, Nurmulia Wunaini Nisrina, Safira Fegi Nur Firmansyah, Taufik Nurchalifah, Jessenia Eldora Nurlaili, Afina Lina Nursyahada, Kesya Oktaviani, Avi Pangestu, Arif Fajar Paradiesta, Andi Frieskha Naurah Pintaningrum, Yusra Praptiningsih, P Prasetyo, Edi Dwi Putra, AASM Meiswaryasti Putra, Handie Pramana R Rizal Isnanto R. Rizal Isnanto Rah Adi Fahmi Ginanjar Rahman, Daffa Sahrul Rahman, Moch. Aulia Ramadhan, Dimasfika Rizqi Ramadhani, Farah Rasjid, Azka Avicenna Ratantja Kusumajati, Fatwa Rendy Munadi Rifki Rahman Nur Ikhsan Rijali, Muhammad Rinayati Rinayati Rizal Fahmi Rizky Parlika, Rizky 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 Saputra, Nurman Sardjasasmita, Agi Sari, Cempaka Kumala Sari, Putu Suwita Sari, Putu Suwita Sari Sari, Wahyuni Kartika Savitri, Puti Amelia Setyaningsih, Diva Ayu Simangunsong, Abednego Sinaga, Keysha Angelica Soedjarwo, Soedjarwo Sony Sumaryo Sri Sugiarti R, Eva Sri Wahyuning Sugeng Santoso Sugiyarto Sugiyarto Sulthan Ahmad Suryani, Elsa Indah Susrama Mas Diyasa, I Gede Swastirani, Astika Syadilla, Iryne Putri Syahputra, Chandra Wibawa Syarif, Darmiati Syihabuddin, Muhammad Tamba, Irpan Antonius T Taufiq, Riyadh 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 Wilson Silitonga, David Wulandari, Ikrawanty Ayu Yoga Pamungkas Susani Yustika, Lindiasari Martha