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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) Kontribusia : Research Dissemination for Community Development Jurnal Informatika Polinema (JIP) Masyarakat Mandiri: Jurnal Pengabdian Dan Pembangunan Lokal Sinergi Aksi Nyata Cendekia
Muhammad Reza Pahlawan
Universtas Pembangunan Nasional Veteran Jawa Timur
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health 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.
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.
Optimizing Village Potential through SMEs Mapping for SDGs Achievement Sari, Juwita; Mildawati, Titik; Reza Pahlawan, Muhammad; Respatia, Wimba; Abdullah, Rachmad
Kontribusia : Research Dissemination for Community Development Vol 8 No 1 (2025): Kontribusia, January 2025
Publisher : OJS Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/kontribusia.v8i1.8827

Abstract

Yosowilangun Village, located in Gresik Regency, is currently classified as an independent village, indicating the prosperity of its residents. However, there are still challenges in identifying and optimizing the village’s potential, particularly in recognizing its strengths and addressing weaknesses. Without a systematic approach to these issues, there is a risk of a decline in the village development index, potentially resulting in a downgrade of its status. The Sustainable Development Goals (SDGs) framework offers a strategic pathway for achieving balanced and sustainable growth, with its core pillars emphasizing humanity, the environment, prosperity, peace, and partnerships. In collaboration with the officials of Yosowilangun Village, Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya implemented a pilot project aimed at mapping and analyzing the village's potential. This project identified underutilized land, which has typically been used for cultural and artistic activities, as a valuable resource for local economic empowerment. By transforming this land into a venue for Small, and Medium Enterprise (SME) events, such as craft and culinary exhibitions, the village can create sustainable economic opportunities. The project also revealed that village officials allocate a significant portion of their financial resources to community empowerment programs. Their openness and willingness to collaborate facilitated constructive discussions, although their understanding of the SDGs framework remains limited. To bridge this gap, further data collection and analysis are required, focusing on key factors affecting land utilization based on SDGs principles. Moving forward, mentoring sessions aimed at formulating relevant policy recommendations and fostering stronger collaboration between the project team and village officials will be prioritized. These steps are essential to ensuring the success of the initiative and maintaining Yosowilangun's alignment with SDGs, while enhancing its development index.
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.
MENINGKATKAN MINAT DAN KESADARAN MAHASISWA DALAM INTERNASIONALISASI KEGIATAN MELALUI STUDENT MOBILITY Vinza Hedi Satria; Muhammad Reza Pahlawan; Olive Khoirul Lukluil Maknun Al Faishol; Faisal Muttaqin; Angga Lisdiyanto; Addien Haniefardy; Imroatul Ajizah
Sinergi Aksi Nyata Cendekia Vol 1, No 2 (2025): November
Publisher : Lembaga Penelitian, Pengembangan, Pemberdayaan Potensi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.6131/sancaka.v1i2.193

Abstract

Internasionalisasi pendidikan tinggi merupakan strategi penting dalam meningkatkan daya saing lulusan di kancah global. Namun, minat mahasiswa untuk terlibat dalam program internasionalisasi masih tergolong rendah, sehingga diperlukan upaya peningkatan pemahaman dan kesadaran mengenai manfaat pengalaman akademik internasional. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan minat serta kesiapan global mahasiswa melalui program student mobility bekerja sama dengan Universiti Sultan Zainal Abidin (UniSZA) Malaysia. Metode pelaksanaan meliputi koordinasi mitra internasional, sosialisasi program, pendampingan administratif dan teknis, pelaksanaan perkuliahan internasional inbound–outbound, serta monitoring dan evaluasi. Hasil kegiatan menunjukkan peningkatan minat mahasiswa dalam mengikuti program internasional, kesiapan administrasi yang lebih baik, serta meningkatnya wawasan global dan kepercayaan diri mahasiswa dalam berinteraksi di lingkungan akademik internasional. Dengan demikian, program ini berhasil mendukung peningkatan internasionalisasi di lingkungan Fakultas Ilmu Komputer UPNVJT sekaligus berkontribusi terhadap pencapaian kompetensi global mahasiswa.
Explainable Artificial Intelligence sebagai Alat Analisis Strategis dalam Keputusan Pemasaran Bank Pahlawan, Muhammad Reza
JATISI Vol 12 No 4 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i4.13657

Abstract

Deposits serve as the primary source of funding for banks and play a crucial role in determining their ability to extend loans. Therefore, banks must ensure that deposit levels remain stable, one of which can be achieved by increasing customer interest through effective marketing strategies. Telemarketing is considered an important channel for promoting the deposit program. Predictive analysis was believed can enhance and optimize marketing strategies. Previous studies have predominantly focused on improving accuracy metrics without emphasizing their interpretability. This study aims to develop a machine learning model that employs appropriate evaluation metrics while also providing insights into the factors influencing customers' decisions to make deposits. Several machine learning algorithms are applied in this research, including Decision Tree, Random Forest, and XGBoost. Experimental results indicate that the XGBoost algorithm combined with a random undersampling approach achieved the best performance with a recall score of 67% and an accuracy of 94% in predicting uninterested customers. Additionally, SHAP value analysis is utilized to identify the contribution level of each variable to customers’ deposit decisions. The interpretation results suggest that banks should pay attention to the choice of communication media, the appropriate timing for contacting customers, and the amount of balance owned by each customer.
Pengujian Kinerja dan Usability pada Aplikasi Prestasi Siswa Menggunakan JMeter dan System Usability Scale (SUS) Hafidz, Mohammad Al; Pahlawan, Muhammad Reza
Jurnal Informatika Polinema Vol. 12 No. 2 (2026): Vol. 12 No. 2 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i2.9120

Abstract

Penelitian ini bertujuan untuk mengevaluasi kinerja dan kegunaan dari Aplikasi Prestasi Siswa berbasis web yang diterapkan di SMA Negeri 1 Waru. Proses evaluasi dilakukan melalui dua metode utama, yaitu pengujian kinerja sistem menggunakan Apache JMeter dan pengujian kegunaan dengan metode System Usability Scale (SUS). Pengujian dirancang merujuk pada tahapan dalam Software Testing Life Cycle (STLC). Fokus dari pengujian ini meliputi tujuh fitur utama sistem, yaitu login, melihat dashboard, melihat data prestasi, menambah data, merubah data, melihat profil siswa, dan mengubah profil siswa. Pada fase pengujian kinerja, dilakukan simulasi beban dengan tiga variasi jumlah pengguna secara bersamaan, yaitu 10, 40, dan 100 pengguna dengan periode penyetelan selama 30 detik. Hasil pengujian menunjukkan rata-rata waktu respon berkisar antara 0,145 hingga 0,167 detik, dengan tingkat kesalahan yang tercatat sebesar 0%, serta throughput meningkat sejalan dengan bertambahnya jumlah pengguna, yaitu 2,6224 untuk 10 pengguna, 9,5147 untuk 40 pengguna, dan 23,5237 untuk 100 pengguna. Temuan ini menunjukkan bahwa aplikasi dapat mempertahankan performa yang stabil meskipun jumlah pengguna meningkat secara signifikan. Pengujian menggunakan System Usability Scale (SUS) dengan melibatkan 20 responden menghasilkan skor rata-rata 83,07, yang tergolong dalam kategori "Excellent". Ini mencerminkan bahwa aplikasi dianggap sangat mudah digunakan, efisien dalam navigasi, dan memberikan pengalaman interaksi yang memuaskan bagi pengguna. Secara keseluruhan, hasil penelitian ini menunjukkan bahwa Aplikasi Prestasi Siswa di SMA Negeri 1 Waru memiliki performa yang efisien dan tingkat kegunaan yang tinggi. Dengan demikian, sistem ini dapat dijadikan contoh dalam pengembangan aplikasi sekolah berbasis web yang stabil, responsif, dan berfokus pada pengalaman pengguna.
Co-Authors Addien Haniefardy Adinda Ayudyah Rachmawati Ahmad Muklason Ahmad Naufal Angga Lisdiyanto Ardha Perwiradewa Bagus Tri Handoko Eko Mulyanto Yuniarno Faisal Muttaqin Faizal Mahananto Feby Artwodini Muqtadiroh Imroatul Ajizah Juwita Sari Lilis Ardini Ludia Rosema Dewi Mauridhi Hery Purnomo Mildawati, Titik Mohammad Al Hafidz Nur Aini Rakhmawati Olive Khoirul Lukluil Maknun Al Faishol Rachmad Abdullah Rafika Rahmawati Raras Tyasnurita respatia, wimba Retno A. Vinarti Riksakomara, Edwin Riris Diana Rachmayanti Satria, Vinza Hedi Supeno Mardi Susiki Nugroho, Supeno Mardi Suwitho, Suwitho Tsuyoshi Usagawa, Tsuyoshi ulfah setia iswara, ulfah setia Wimba Respatia Yahya Yahya