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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) MAGNA MEDICA: Berkala Ilmiah Kedokteran dan Kesehatan PROMOTOR JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Satwika : Kajian Ilmu Budaya dan Perubahan Sosial CCIT (Creative Communication and Innovative Technology) Journal Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Jurnal Review Pendidikan dan Pengajaran (JRPP) ScientiCO : Computer Science and Informatics Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian dan Peningkatan Mutu Masyarakat (JANAYU) Bioscientist : Jurnal Ilmiah Biologi Advance Sustainable Science, Engineering and Technology (ASSET) NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Journal Of World Science Jurnal Algoritma JPAP (Jurnal Praktisi Administrasi Pendidikan) The Indonesian Journal of Computer Science Jurnal Pengabdian Farmasi dan Sains Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory
Rahmah Laila
Information Technology Department, Faculty Of Engineering, Tadulako University, Jl. Soekarno Hatta No KM 9 Palu 94148, Central Sulawesi, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Comparison of Machine Learning Algorithms for Predicting Stunting Prevalence in Indonesia Pratama, Moh. Asry Eka; Hendra, Syaiful; Ngemba, Hajra Rasmita; Nur, Rosmala; Azhar, Ryfial; Laila, Rahmah
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2097

Abstract

Stunting is a serious public health problem, especially among under-fives, which can cause serious short- and long-term impacts. Efforts to tackle stunting in Indonesia involve national strategies and development priorities. Therefore, this study aims to compare the performance of machine learning regression algorithms in predicting stunting prevalence in Indonesia. The data collected is secondary data. The data collection was done carefully, taking explicit details regarding the source, scope, extent, and analysis of the dataset, and using a careful sampling methodology. The model evaluation results show that the Random Forest Regression algorithm has the best performance, with a success rate of 90.537%. The application of this model to the new dataset shows that East Nusa Tenggara province has the highest percentage of stunting at 31.85%, while Bali has the lowest percentage at 12.07%. Visualization of the dashboard using Tableau provides a clear picture of the distribution of stunting in Indonesia. In conclusion, this research contributes to the development of science, especially in the field of machine learning and public health, and provides policy recommendations for tackling stunting in Indonesia.
Digitalisasi Pembelajaran Budaya Sulawesi Tengah melalui Augmented Reality Menggunakan Metode Marker-Based Tracking Saleh, Muhammad Taufik; Lamasitudju, Chairunnisa Ar.; Pusadan, Yazdi; Laila, Rahmah; Pratama, Septiano Anggun
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4195

Abstract

Central Sulawesi has a diverse cultural heritage, but the rapid development of technology poses new challenges in maintaining the interest of the younger generation in local culture. This research developed a culture-learning application based on Augmented Reality (AR) using the Marker Based Tracking method for students at SDN Inpres 2 Tanamodindi to address these challenges. The application, "Mari Berbudaya," is designed to increase students' interest in local culture by providing an interactive and innovative learning experience through AR technology. This study employs a qualitative approach and prototyping method. Black box testing results confirm that all main functions of the application work well, while distance testing shows that markers can be optimally detected up to a distance of 1 meter. A questionnaire evaluation of the students resulted in an overall score of 89% with a classification of very feasible. Thus, from the overall evaluation, the "Mari Berbudaya" application has proven effective in increasing students' interest and understanding of Central Sulawesi's culture through AR technology.
Feminism And Politics: A Study on Women's Representation in The Simultaneous Regional Elections 2018 in Makassar City Bogheiry, Ali; Thaha, M. Thaha; Rahmah, Laila
Journal of World Science Vol. 1 No. 10 (2022): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v1i10.101

Abstract

Introduction: This study discusses the role of feminism and women's representation in general elections in Indonesia, especially what happened in the Simultaneous Regional Election of Makassar City in 2018, where two women were asked to become candidates for Deputy Mayor. Method: The author uses descriptive qualitative research and has conducted observations, direct interviews, documentation, audio, and visual materials. Result: The result of this study, based on the Final Voter List, is that women (507,487 female voters) are more optimal in exercising their voting rights in the Regional Head Elections in Makassar compared to men (483,349 people). Conslusion: Interviews show that women are highly expected in elections where society wants leaders who can understand mothers' and women's issues. This phenomenon is expected to ignite the spirit of women's participation in elections. Representation of women gives a new color to political strategy, especially in socialization and political communication activities.
Global Dependence Analysis on Indonesian Palm Oil Production and Its Effect on Environmental Security Using the Copenhagen School Approach Bogheiry, Ali; Thaha, M; Rahmah, Laila
Journal of World Science Vol. 2 No. 3 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i3.243

Abstract

Increasing international demand is related to global dependency on Indonesian palm oil, forcing Indonesia to increase its palm oil production, resulting in environmental concern. A combination of quantitative and qualitative methods with the Copenhagen School approach is used. On average from 2010-2020, Indonesia exported palm oil to Asia (64.72%), the EU (16.29%), Africa (13.59%), America (5.30%), and Oceania (0.07%). According to the Copenhagen School perspective, there are potential environmental security threats to the international world. One aspect of the environment that is suffering is forested due to deforestation, related fires, damage to ecosystems, and species that are essential contributors to global climate change and loss of biodiversity, as well as poor local and regional air quality. Involvement in the human rights sector, terrorist activities, smuggling, and tax evasion are also evident. Indonesian palm oil production provides economic benefits through international trade and at the same time threatens global environmental security.
Enhancing Web Server Security against Layered Cyber Threats in Healthcare Rifai, Muhammad Fajar; Hendra, Syaiful; Ngemba, Hajra Rasmita; Azhar, Ryfial; Laila, Rahmah
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18307

Abstract

Information technology plays an important role in improving operational efficiency at Torabelo Hospital. The server system in use today faces security and optimization challenges. This research analyzes the impact and recommends solutions to improve server security and optimization. The findings show that the server system is vulnerable to various types of attacks and performance degradation. This can negatively impact hospital operations and put patients at risk. The recommended solution is to implement Squid as reverse proxy, WAF (Web Application Firewall), and Snort as IDS (Intrusion Detection System). System testing showed that this solution successfully detected and prevented various common attacks. This research provides insights to health IT professionals to improve the security and performance of their server systems and improve healthcare services to patients at Torabelo Hospital.
Pengaruh Penerapan Bahan Ajar Berdiferensiasi Berbasis Multiple Intelligence terhadap Kemampuan Berpikir Kritis Peserta Didik Rahmah, Laila; Setiono, Setiono; Ramdhan, Billyardi
Bioscientist : Jurnal Ilmiah Biologi Vol. 11 No. 2 (2023): December
Publisher : Department of Biology Education, FSTT, Mandalika University of Education, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/bioscientist.v11i2.8405

Abstract

Learning in the 21st-century era students are required to have critical thinking skills, but at the time these abilities were still in the low category. So we need a solution to overcome this problem. This study aims to determine the effect of applying differentiating learning materials based on multiple intelligences on students' thinking abilities. The method used is a quasi-experimental method with a non-equivalent control group design. The research subjects were students of class X SMA in Sukabumi City. The sampling technique used purposive sampling was 63 students, namely 32 in the experimental class and 31 in the control class. The instruments used are critical thinking skills test questions, and observation sheets using differentiated modules. The results of the study stated that the pretest-posttest value with an N-Gain calculation of 0.76 was in the high category with an average pretest-posttest value difference of 53.21. The limits of multiple intelligence are the two most dominant intelligence in the experimental class: linguistic intelligence and intrapersonal intelligence. Students with linguistic intelligence effectively use the differentiated module with an N-Gain value of 0.78 or in the high category. The average student response results in the use of differentiated teaching materials is 86.85 or in the very good category. The conclusions of this study, differentiated teaching materials based on multiple intelligences affect students' critical thinking abilities.
PELATIHAN PERLUASAN PEMASARAN PRODUK UNGGULAN DAERAH PADA KELOMPOK PERTERNAK PUYUH DESA BINANGGA MENGGUNAKAN E-COMMERCE Laila, Rahmah; Rasmita Ngemba, Hajra; Imam Abdullah , Ahmad; Salhudin, Salhudin; Jonathan Wongkar, Noel Marcell; Dwiyanto, Andika
JURNAL PENGABDIAN FARMASI DAN SAINS Vol. 2 No. 1 (2023): Oktober 2023
Publisher : Jurusan Farmasi FMIPA Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/jpsf.2023.v2.i1.16544

Abstract

Permintaan telur burung puyuh semakin hari semakin meningkat seiring dengan bertambahnya jumlah penduduk. Tetapi dari jumlah permintaan masyarakat akan telur burung puyuh tersebut belum didukung oleh pengetahuan dan kemampuan para peternak mengenai pengembangan usaha. Hal ini berakibat pada tidak maksimalnya perkembangan usaha ternak puyuh. Pemasaran juga masih dilakukan secara tradisional dan masih kalah saing dengan promosi produk dari provinsi lain. Tujuan dari kegiatan ini adalah memberikan pembinaan tentang bagaimana cara memanfaatkan teknologi untuk pemasaran penjualan telur puyuh yang efektif dan untuk pengembangan usaha dan cara pemasarannya. Adapun kegiatan sosialisasi yang dilakukan adalah dengan pemberian materi, pelatihan penggunaan aplikasi serta diskusi dengan mitra. Sosialisasi yang telah dilakukan sangat bermanfaat buat para peternak untuk mengembangkan pengetahuan dan skill peternak dalam melakukan penjualan dan merketing. Hal ini terbukti dengan ketercapaian hasil yang ditargetkan oleh tim pengabdi berupa pengaplikasian secara langsung penggunaan aplikasi dan peserta berhasil mendaftarkan akun mereka pada marketplace dengan baik.
TRANSFORMASI PEMBELAJARAN PKN MELALUI PENDEKATAN INKUIRI : STUDI KASUS DALAM SEKOLAH DASAR Sunaryati, Titin; Rahmah, Laila; Qothrunnada, Widya; Nurholisoh, Siti
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 4 (2024): Special Issue Vol. 7 No. 4 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i4.36596

Abstract

Penelitian ini bertujuan untuk menganalisis transformasi pembelajaran Pendidikan Kewarganegaraan (PKn) melalui pendekatan inkuiri di Sekolah Dasar. Pendekatan inkuiri menekankan pada proses aktif siswa dalam menemukan, menganalisis, dan menyimpulkan konsep-konsep kewarganegaraan. Melalui pendekatan ini, diharapkan siswa mampu memahami nilai-nilai demokrasi, hak asasi manusia, serta tanggung jawab sosial secara lebih mendalam dan aplikatif. Studi ini menggunakan metode kualitatif dengan pendekatan studi kasus. Data dikumpulkan melalui wawancara, observasi, dan dokumentasi pada beberapa sekolah dasar di wilayah urban. Hasil penelitian menunjukkan bahwa pendekatan inkuiri dapat meningkatkan partisipasi aktif siswa, memfasilitasi pemikiran kritis, serta memperdalam pemahaman konsep kewarganegaraan.
Pemahaman Masyarakat Terhadap Web SIMKAH Studi Kasus Kecamatan Kua Martapura Kota Rahmah, Laila; Azkia, St. Aulia; Jamilah, Siti
Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory Vol. 4 No. 1 (2026)
Publisher : Sharia Journal and Education Center Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62976/ijijel.v4i1.1659

Abstract

Pernikahan adalah peristiwa signifikan dalam hidup manusia yang memiliki nilai hukum dan juga nilai spiritual. Di zaman digital ini, pemerintah melalui Kementerian Agama telah melakukan inovasi dengan memperkenalkan Sistem Informasi Manajemen Nikah (SIMKAH) sebagai upaya digitalisasi layanan publik di sektor pendaftaran pernikahan. Penelitian ini berangkat dari minimnya pemahaman masyarakat mengenai penggunaan WEB SIMKAH di KUA Kecamatan Martapura Kota. Tujuan dari penelitian ini adalah untuk mengevaluasi tingkat pemahaman masyarakat terhadap SIMKAH dan juga mengidentifikasi tantangan yang dihadapi dalam pelaksanaannya. Metodologi penelitian memanfaatkan pendekatan hukum empiris dan normatif dengan menggunakan metode kualitatif. Data diperoleh melalui wawancara dengan petugas KUA dan masyarakat serta observasi langsung terkait proses pendaftaran nikah melalui SIMKAH. Temuan penelitian memperlihatkan bahwa banyak masyarakat yang masih belum paham cara menggunakan SIMKAH karena kurangnya sosialisasi, rendahnya tingkat literasi digital, dan minimnya akses internet. Lebih jauh, sejumlah masyarakat masih merasa lebih nyaman untuk mendaftar secara langsung di KUA daripada melalui jalur online. Penelitian ini menyimpulkan bahwa implementasi Web SIMKAH di KUA Martapura Kota belum optimal dan perlu ditingkatkan melalui sosialisasi yang lebih intensif, pelatihan literasi digital, serta penyediaan sarana teknologi untuk meningkatkan efektivitas dan efisiensi pelayanan pendaftaran pernikahan.
Implementation of Long Short-Term Memory Algorithms on Cryptocurrency Price Prediction with High Accuracy on Volatile Assets Nursiana Zasqia, Andi Nirina; Laila, Rahmah; Trezandy Lapatta, Nouval; Yazdi Pusadan, Mohammad; Santi, Dessy; Wirdayanti
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2422

Abstract

Cryptocurrencies have emerged as one of the most popular digital assets, characterized by high volatility, which presents a significant challenge in forecasting their price movements accurately. This study aims to implement the Long Short-Term Memory (LSTM) algorithm to predict the prices of selected cryptocurrencies, including Bitcoin (BTC), Binance Coin (BNB), Ethereum (ETH), Dogecoin (DOGE), Solana (SOL), and Shiba Inu (SHIB). The LSTM model is trained using the Adam optimizer and employs early stopping to mitigate overfitting. Model performance is evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and the coefficient of determination (R²). The results indicate that the LSTM model achieves strong predictive accuracy for relatively low-volatility assets such as Dogecoin and Solana, with R² scores of 0.9795 and 0.9523, respectively. In contrast, its performance declines when applied to highly volatile assets like Bitcoin and Binance Coin. The findings also suggest that LSTM performs best in short-to-medium-term forecasts (7 to 30 days), but shows limitations in long-term predictions. This study contributes to the field by demonstrating the applicability of LSTM in financial forecasting and highlighting its strengths and constraints across different volatility profiles. Practically, the findings can assist traders and financial analysts in making data-driven decisions by applying LSTM models for more reliable short-term predictions, while emphasizing the need to integrate external market factors to enhance long-term forecast accuracy.
Co-Authors A Wahab Jufri Absor, Sholihul Afiah, Nurul Anggun Al Hakim, Roby Maulana Anita Ahmad Kasim Anwar, Asriani Azkia, St. Aulia Billyardi Ramdhan Bogheiry, Ali Chirzun, Ahmad Damayanti, Sherli Deny Wiria Nugraha Dessy Santi Diana Wahyuni Sulasti Dwiyanto, Andika Fahrudda, Ansarul Fajriyah, Nurul Faldiansyah, Faldiansyah Firhan Nurfaizi Hajra Rasmita Ngemba Haniifah, Ulaa Hartamto, Offia Melda Permata Imam Abdullah , Ahmad Imas Hasdianti Jamil, Ahmad Mochtar Jonathan Wongkar, Noel Marcell Joned Bangkit Wahyu Laksono Jujun Ratnasari Lamadjido, Moh. Raihan Dirga Putra Lamasitudju, Chairunnisa M Thaha, M M Zakaria Meyssa Dwi Miftah Miftah, Miftah Mohammad Yazdi Pusadan Muhammad Anas Muhammad Jindan Mundakir Ningsih, Alief Surya Nouval Trezandy Lapatta Nugroho, Yudhistiro Andri Nurholisoh, Siti Nursalim, Moh. Agung Nursiana Zasqia, Andi Nirina Pratama, Moh. Asry Eka Pratama, Moh. Rezki Pratiwi, Dian Asri Puspita, Eka Ari Qothrunnada, Widya Rahmasena, Naomi Rasmita Ngemba, Hajra Rifai, Muhammad Fajar Rima Ahadiah Rini Septiani Rinianty, Rinianty Risaldi Pata’Dungan, Adi Rita Arlitia Rizka Ardiansyah Rosmala Nur Ruddy Indra Frahasta Rumampuk, Viola Gracella Ryfial Azhar Saleh, Muhammad Taufik Salhudin, Salhudin Selpi Susilawati Septiano Anggun Pratama Setiono Setiono Sibawaihi, Muhammad Silvi Husnaini Siti Jamilah Siti Khodijah Parinduri Sri Purnawati SRI RAHAYU Sudharsono, Muhamad Suswojo, Heru Syahrullah Syahrullah Syahrullah Syaiful Hendra Teti Damayanti Thaha, M. Thaha TITIN SUNARYATI Ulfa Fauzi Vira Safitri Aulia Widyati, Made Ayu Sri Wilda Waliam Wirdayanti Wiska Hera Yuri Yudhaswana Joefrie Yusuf Anshori