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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JUSTITIA JURNAL HUKUM Jurnal SOLMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) GUYUB: Journal of Community Engagement Masyarakat Mandiri: Jurnal Pengabdian Dan Pembangunan Lokal
Muhammad Reza Pahlawan
Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA), Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Stock price forecast of macro-economic factor using recurrent neural network M. Reza Pahlawan; Edwin Riksakomara; Raras Tyasnurita; Ahmad Muklason; Faizal Mahananto; Retno A. Vinarti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i1.pp74-83

Abstract

The stock market is one of the investment choices that always have traction from time to time. Aside from being a means of corporate funding, investing in the stock market can benefit investors. Investing also has a higher risk because the pattern of stock prices is volatile, which is caused by internal and external factors. One external factor that affects stock prices is the macro-economic, where these factors are events that occur in a country where one of the economic sectors affected is stock prices. Investors often feel confused about the right time in decisions making related to buying or selling stock. One way to look at how the prospect of stock prices is a stock price forecasting activity. For this study, we will be making use of the recurrent neural network (RNN) to forecast stock prices for the next periods. This research involves two variables: the closing stock price and the rupiah exchange rate against the dollar for the daily period. We achieve a MAPE value of 1.546% for RNN model without the variable foreign exchange rate and 1.558% for the RNN model that uses the foreign exchange rate against the dollar.
Konsep Perlindungan Hukum Atas Kasus Pelanggaran Privasi dengan Pendekatan Perundang-undangan dan Pendekatan Konseptual Nur Aini Rakhmawati; Adinda Ayudyah Rachmawati; Ardha Perwiradewa; Bagus Tri Handoko; Muhammad Reza Pahlawan; Rafika Rahmawati; Ludia Rosema Dewi; Ahmad Naufal
Justitia Jurnal Hukum Vol 3, No 2 (2019): Justitia Jurnal Hukum
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.814 KB) | DOI: 10.30651/justitia.v3i2.2545

Abstract

Arus persebaran informasi semakin mudah terutama pada persebaran informasi pribadi. Informasi pribadi seseorang bisa disebarluaskan oleh orang lain demi keuntungan pribadi. Penelitian ini bertujuan untuk mengidentifikasi peranan hukum dalam penanggulangan kasus pelanggaran privasi. Metode yang digunakan dalam penelitian ini adalah metode penelitian hukum dengan pendekatan perundang-undangan dan pendekatan konseptual. Hasil penelitian ini menemukan bahwa, hukum telah berperan dalam penanggulangan kasus pelanggaran privasi, di Indonesia yaitu melalui Pasal 26 UU ITE, untuk lingkup internasional menggunakan EU General Data Protection. Dapat diketahui bahwa setiap kasus pelanggaran ditindak dengan hukum sesuai tingkat pelanggarannya, setiap negara memiliki hukum masing-masing untuk melindungi warga negara.Kata Kunci : data pribadi, kasus pelanggaran privasi, hukum privasi
Prediksi Indeks Harga Saham Menggunakan Model Hibrida Recurrent Neural Network dan Genetic Algorithm Muhammad Reza Pahlawan
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 4 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i4.3065

Abstract

The stock market is one of the important factors in representing the economic condition of a country. Therefore, a predictive model in analyzing the movement of stock values is needed. This research uses several architectures such as Elman, Long Short-Term Memory (LSTM), and Gate Recurrent Unit (GRU). The problem is how to determine the strategy for tuning parameters. Most likely the strategy can result in a waste of time and resources. This study aims to compare the Genetic Algorithm (GA) and gridsearch in terms of performance and computational time. Elman architecture through GA optimization (Elman-GA) has a Root Mean Squared Error (RMSE) of 165.33 and Elman architecture through gridsearch (Elman-GS) produces 154.47. Elman-GA is much faster with 4874.51 seconds while Elman-GS takes 7148.7 seconds. LSTM architecture through GA optimization (LSTM-GA) has a RMSE of 113.36 while LSTM through gridsearch (LSTM-GS) produces a RMSE of around 111.94. LSTM-GA is also faster because it is only 8733.86 seconds while LSTM-GS takes 16537.42 seconds. The GRU architecture through GA optimization (GRU-GA) has an RMSE of 120.19 and the GRU architecture through gridsearch (GRU-GS) produces an RMSE of 121.35. GRU-GA is much faster because it only takes 6996.62 seconds while GRU-GS takes 19826.86 seconds.
Car Free Day sebagai Ajang Pemberdayaan UMKM dalam Mendukung Agenda Pembangunan Berkelanjutan Pahlawan, Muhammad Reza; Sari, Juwita; Mildawati, Titik; Respatia, Wimba
GUYUB: Journal of Community Engagement Vol 5, No 2 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v5i2.8747

Abstract

Village’s Sustainable Development Goals (SDGs) is an indicator used to retrieve the village's development performance. This indicator was applied to all villages in Indonesia, including Yosowilangun in Gresik Regency. This village has low scores on indicators related to economics. This needs to be a concern because the village's potential to become an economically independent village is quite high. This potential is reflected in the number of registered Micro, Small, and Medium Enterprises (MSMEs). The village officials are also active in helping to empower them in terms of capital. However, this is still not effective because the indicator value for Equitable Village Economic Growth is only 34.96. Apart from that, the participation rate is also still low, with only around 10%. This is caused by the difficulty of finding the markets. Car Free Day is considered capable of solving this problem. Therefore, this service activity is carried out by providing assistance to related parties to analyze the CFD urgencies. The main focus is an analysis document that can be used to simplify the implementation process. The results of the study indicate that Yosowilangun Village is capable of holding a CFD if seen from the prospective location, potential visitors, and potential demand.
The Significance of Dynamic COVID-19 Dashboard in Formulating School Reopening Strategies Muqtadiroh, Feby Artwodini; Yuniarno, Eko Mulyanto; Nugroho, Supeno Mardi Susiki; Pahlawan, Muhammad Reza; Rachmayanti, Riris Diana; Usagawa, Tsuyoshi; Purnomo, Mauridhi Hery
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 1 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i1.76017

Abstract

Experiments conducted with the COVID-19 dataset have predominantly concentrated on predicting cases fluctuating and classifying lung-related diseases. Nevertheless, the consequences of the COVID-19 pandemic have also spread to the education sector. To safeguard educational stability in response to the remote learning policy, we leverage authentic COVID-19 datasets alongside school information across 154 sub-areas in Surabaya City, Indonesia. Our focus is predicting the dynamic within these sub-areas where schools are located. The outcomes of this study, by incorporating the recurrent neural network of long- and short-term memory (RNN-LSTM) architecture and refined hyperparameters, effectively enhanced the predictive model's performance. The findings are showcased on a dashboard, visually representing the transmission of COVID-19 in schools across each sub-area. This information serves as a basis for informed decisions on the safe reopening of schools, aiming to mitigate the decline in education quality during the challenging pandemic.
Pemberdayaan Santri Melalui Penguasaan Komputer Akuntansi dan Pemasaran Digital di Pondok Pesantren Al-Munawwar Bojonegoro Ardini, Lilis; Suwitho, Suwitho; Pahlawan, Muhammad Reza; Iswara, Ulfah Setia
Jurnal SOLMA Vol. 14 No. 1 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i1.16779

Abstract

Background: Pemberdayaan santri menjadi salah satu program strategis untuk mendukung program pengentasan kemiskinan. Hal ini didasarkan oleh kondisi santri yang sebagian besar berasal dari keluarga sederhana dan sebagian besar berada pada usia produktif sehingga menjadi masa yang tepat untuk dibekali pengetahuan dalam operasional sistem akuntansi, kewirausahaan, dan pemasaran digital. Diharapkan santri setelah lulus dari pondok pesantren Al-Munawwar selain menyandang gelar HQ (Hafidzul Qur’an) juga memiliki softskills untuk mendukung keberlangsungan hidup santri secara mandiri. Kegiatan ini bertujuan untuk memberikan bekal pengetahuan bagi para santri sekaligus siswa melalui pemberian pelatihan komputer akuntansi, kewirausahaan, dan pemasaran digital. Metode: Mitra dalam kegiatan ini adalah yayasan Pondok Pesantren Al-Munawwar Bojonegoro, para guru dan para santri sekaligus siswa MA Al-Munawwar Bojonegoro. Tahapan pelaksanaan meliputi: perencanaan, pemberian pelatihan dan pendampingan komputer akuntansi, kewirausahaan dan pemasaran digital, serta monitoring dan evaluasi. Hasil: Hasil kegiatan menunjukkan bahwa para santri sekaligus siswa sangat antusias mengikuti kegiatan ini karena sebelumnya belum pernah memperoleh pengetahuan tentang sistem informasi akuntansi, kewirausahaan dan pemasaran digital. Praktik langsung penggunaan aplikasi akuntansi yakni SIABAMAKTI (Sistem Informasi Akuntansi Hibah BIMA Kemdikbudristek Dikti) mampu meningkatkan keterampilan (softskill) para santri dan memberikan contoh bahwa dalam menyajikan laporan keuangan bisa didukung dengan adanya aplikasi akuntansi. Selain itu, para santri memperoleh wawasan baru bahwa banyak peluang untuk menjadi seorang wirausaha sukses dan penggunaan e-commerce untuk sarana penjualan secara digital mengingat adanya perubahan budaya masyarakat. Kesimpulan: Kegiatan ini dapat menambah pengetahuan tentang kewirausahaan dan pemasaran digital, serta peningkatan softskills penguasaan komputer akuntansi bagi para santri sekaligus siswa Al-Munawwar Bojonegoro.
Penguatan Aspek Storytelling untuk Meningkatkan Daya Saing Global pada UMKM Batik Desa Juwet Kenongo Kabupaten Sidoarjo Titik Mildawati; Juwita Sari; Wimba Respatia; Yahya Yahya; Muhammad Reza Pahlawan
Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal Vol. 2 No. 3 (2025): Juli : Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/masyarakatmandiri.v2i3.1866

Abstract

The challenges often faced by MSMEs are how to promote their products. The technology development nowadays encourages MSMEs to utilize several social media platforms such as Instagram, Facebook, and websites as a promotional tool. The use of social media was believed can help expand the market. This is what is done by the Batik MSME in Juwet Kenongo Village, Sidoarjo Regency. However, the use of this technology is still not effective in increasing their sales. Batik sales are still dominated by orders and participation when attending exhibitions. This is due to the less-than-optimal strategy for utilizing social media. In addition, the storytelling aspect is still an obstacle when promoting on social media. Strengthening storytelling skills through a workshop is believed to be effective in helping MSMEs compose better story narratives. Besides that, this workshop is believed to be an urgent need for MSMEs. The focus of this community service is educational assistance related to compiling marketing through storytelling. MSMEs will be equipped with product narrative writing techniques. The assistance activities were welcomed by MSMEs. The participants were also cooperative and actively asked questions to the speakers. By participating in this training, MSMEs gain insight into the importance of strengthening the storytelling aspect in compiling interesting captions or narratives.
Co-Authors Adinda Ayudyah Rachmawati Ahmad Muklason Ahmad Naufal Ardha Perwiradewa Bagus Tri Handoko Eko Mulyanto Yuniarno Faizal Mahananto Feby Artwodini Muqtadiroh juwita sari Juwita Sari Lilis Ardini Ludia Rosema Dewi Mauridhi Hery Purnomo Mildawati, Titik Nur Aini Rakhmawati Rafika Rahmawati Raras Tyasnurita respatia, wimba Retno A. Vinarti Riksakomara, Edwin Riris Diana Rachmayanti Supeno Mardi Susiki Nugroho, Supeno Mardi Suwitho, Suwitho Tsuyoshi Usagawa, Tsuyoshi ulfah setia iswara, ulfah setia Wimba Respatia Yahya Yahya