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All Journal JIK Jurnal Ilmu Komputer JUSIFO : Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Astonjadro CCIT (Creative Communication and Innovative Technology) Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI JATI (Jurnal Mahasiswa Teknik Informatika) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Sosial dan Teknologi Devotion: Journal of Research and Community Service Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Impresi Indonesia Journal Of World Science International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Jurnal Locus Penelitian dan Pengabdian Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Asian Journal of Social and Humanities INOVTEK Polbeng - Seri Informatika Resocia: International Journal of Applied Research and Innovation Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Gerry Firmansyah
Universitas Esa Unggul, Jakarta, Indonesia
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Analisis Multi-Dimensi Dampak Ekonomi, Perilaku Konsumsi, dan Risiko Sosial Penggunaan Paylater di Indonesia Muhamad Muslih; Sri Redjeki; Gerry Firmansyah; Ayu Larasati
Jurnal Impresi Indonesia Vol. 4 No. 10 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i10.7083

Abstract

Layanan paylater telah menjadi fenomena signifikan dalam ekosistem keuangan digital Indonesia, menawarkan kemudahan akses pembiayaan konsumen namun sekaligus menimbulkan kekhawatiran terkait dampak multi-dimensinya. Lonjakan outstanding utang paylater yang mencapai Rp30,36 triliun pada 2024 dan tingginya angka impulse buying (6,4%) menunjukkan urgensi analisis komprehensif terhadap layanan ini. Penelitian ini bertujuan untuk menganalisis dampak multi-dimensi layanan paylater terhadap pertumbuhan ekonomi, perilaku konsumsi, dan risiko sosial di Indonesia, serta mengkaji implikasi regulasi dan literasi keuangan. Dengan menggunakan pendekatan kualitatif deskriptif melalui studi literatur sistematis, penelitian ini mengintegrasikan temuan dari jurnal akademik, laporan resmi, dan data industri yang diterbitkan pada periode 2019 hingga 2025. Hasil penelitian menunjukkan bahwa layanan paylater secara signifikan meningkatkan daya beli konsumen dan mendorong pertumbuhan pesat transaksi e- commerce. Namun, kemudahan yang ditawarkan paylater juga meningkatkan kecenderungan impulse buying dan perilaku konsumtif, terutama di kalangan generasi muda. Perubahan perilaku ini, apabila tidak diimbangi dengan literasi keuangan yang memadai, berpotensi menimbulkan utang rumah tangga yang tidak terkendali dan mengancam stabilitas keuangan nasional. Studi ini menegaskan pentingnya regulasi yang ketat dan edukasi keuangan yang komprehensif untuk memitigasi risiko tersebut. Penguatan kolaborasi antara regulator, pelaku industri, dan lembaga pendidikan direkomendasikan agar manfaat paylater dapat dioptimalkan sekaligus meminimalisir dampak negatifnya bagi konsumen dan sistem keuangan.
Prototype Android Sistem Perizinan Santri Pondok Pesantren Darunnajah 8 Berbasis QR Code Muhammad Ersa Arkhab; Gerry Firmansyah
Jurnal Impresi Indonesia Vol. 5 No. 2 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i2.7571

Abstract

Sistem perizinan santri berbasis kertas di Pondok Pesantren Darunnajah 8 menyebabkan inefisiensi waktu, antrean panjang, dan memicu pelanggaran seperti kabur dan pemalsuan izin. Perkembangan teknologi dan tingginya ketergantungan santri terhadap perangkat mobile mendorong perlunya transformasi digital dalam manajemen pesantren. Penelitian ini bertujuan merancang dan menguji prototype aplikasi Android sistem perizinan santri berbasis QR Code untuk menggantikan sistem manual. Metode pengembangan menggunakan pendekatan prototyping dengan pengumpulan data melalui observasi dan studi pustaka, serta pengujian menggunakan black box testing dan System Usability Scale (SUS). Hasil penelitian menunjukkan bahwa aplikasi yang dikembangkan berhasil berfungsi dengan baik melalui serangkaian pengujian dan memperoleh skor usabilitas rata-rata 4.37 (kategori baik) dari 10 responden yang terdiri dari santri, ustad, dan petugas keamanan. Temuan ini mengindikasikan bahwa sistem digital berbasis QR Code dan Firebase dapat meningkatkan efisiensi proses perizinan, memperkuat pengawasan, serta mengurangi pelanggaran. Implikasi penelitian ini memberikan model solusi teknologi yang dapat diadopsi oleh pesantren lain untuk meningkatkan akuntabilitas dan layanan administrasi di era digital.
Predicting Technical Intern Training Program Trainee Success: A Comparative Machine Learning Analysis For Risk Mitigation Syaban Maulana; Nenden Siti Fatonah; Gerry Firmansyah; Agung Mulyo Widodo
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/1r93bf26

Abstract

Japan's demographic crisis has increased demand for the Technical Intern Training Program (TITP). However, for Sending Organizations (SOs) in Indonesia, this process carries high financial risk due to an upfront talent funding scheme, where significant costs (up to IDR 35,000,000) are paid in advance. Trainee failure (dropouts or runaways) leads to substantial bad debt. This research aims to develop and validate a robust machine learning model for risk mitigation. We compare XGBoost and Random Forest on a dataset of 784 historical trainee records, characterized by extreme class imbalance (75.5% majority class). To address prior methodological weaknesses and prevent data leakage, we implement a 10-fold stratified cross-validation pipeline incorporating StandardScaler and SMOTE. The results show XGBoost (mean macro F1-Score: 0.5470 ± 0.15) significantly outperforms Random Forest (mean macro F1: 0.5098 ± 0.15), which is confirmed as statistically significant (p=0.0384) by a paired t-test. Furthermore, SMOTE is validated as a superior imbalance strategy compared to class_weight (p=0.0076). SHAP analysis identified 'contract duration' and lifestyle factors (e.g., 'alcohol consumption') as key predictors. The final model effectively predicts 'Runaway' cases (F1=0.533) but struggles with 'Training Dropouts' (F1=0.170), indicating a key limitation and a need for temporal features in future work.
A Comparison QoS Indihome in Tangerang and Palu Gerry Firmansyah; Marzuki Pilliang; William Nugraha Pratama Laua; Andrih Setiawan
International Journal of Applied Research and Innovation Vol. 1 No. 2 (2026): April: Resocia: International Journal of Applied Research and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/bfsbza45

Abstract

This study investigates the Quality of Service performance of IndiHome internet services in Tangerang and Palu, Indonesia, through a comparative empirical evaluation. The research integrates bandwidth assessment with multidimensional Quality of Service measurements to examine network performance under comparable operational conditions. Data were collected using Wireshark and NetWorx during controlled streaming activities employing identical content, service providers, and observation periods. The evaluated parameters included delay, jitter, packet loss, throughput, and bandwidth utilization. The findings reveal notable differences between the two locations. Tangerang exhibited superior performance in terms of delay and jitter, indicating better network responsiveness and transmission stability. Palu achieved higher throughput values, demonstrating stronger data transfer capacity under the observed conditions. Both locations recorded zero packet loss, reflecting reliable packet delivery and stable communication quality. The results indicate that throughput should not be interpreted independently because overall service quality is influenced by the interaction among latency characteristics, resource utilization efficiency, traffic management, and infrastructure conditions. The study further highlights the importance of network architecture effectiveness and bandwidth optimization in maintaining broadband service quality. These findings provide practical insights for infrastructure planning, service improvement, and digital connectivity development across geographically diverse regions
Sistem Pemantauan EKG 1-Lead Berbasis ESP32 dan Wireless Fidelity dengan Visualisasi Real Time Pada Smartphone Nugroho Budhisantosa; Noval Rizky Ramadhan; Habibullah Akbar; Gerry Firmansyah
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.5457

Abstract

Penelitian ini membahas pengembangan sistem pemantauan detak jantung berbasis Internet ofThings (IoT) menggunakan mikrokontroler ESP32, sensor ECG AD8232, protokol MQTT, danplatform Node-RED sebagai antarmuka visual. Sistem ini dirancang untuk melakukan akuisisisinyal jantung, mengolah data menjadi nilai Beats Per Minute (BPM), serta menampilkaninformasi secara real-time melalui dashboard berbasis web yang dapat diakses menggunakansmartphone maupun perangkat lain. Metodologi yang digunakan adalah Waterfall, dengan tahapananalisis kebutuhan, perancangan, implementasi, dan pengujian sistem. Hasil penelitianmenunjukkan bahwa sistem mampu menampilkan sinyal EKG dengan latensi rata-rata ±180 ms,sesuai dengan target real-time (<200 ms). Selain itu, sistem berhasil mengklasifikasikan kondisijantung ke dalam kategori normal, tachycardia, bradycardia, atrial flutter, dan arrhythmia, dengantingkat akurasi mencapai 92% berdasarkan pengujian menggunakan data simulasi (dummy)maupun data sensor aktual. Fitur tambahan seperti notifikasi visual dan audio, serta fungsi resetgrafik (Clear Graph) berjalan sesuai rancangan dan meningkatkan pengalaman pengguna. Validasidengan alat referensi (pulse oximeter) menunjukkan selisih nilai BPM rata-rata ±5 bpm, yangmasih dapat diterima untuk aplikasi non-klinis. Dengan hasil tersebut, sistem ini dapat digunakansebagai solusi monitoring mandiri untuk kesehatan jantung, serta memiliki potensi pengembanganlebih lanjut melalui integrasi penyimpanan data historis, enkripsi komunikasi, maupunimplementasi aplikasi mobile
Prediksi Harga Komoditas Hortikultura Pangan Strategis Menggunakan Random Forest dengan Analisis SHAP Valencia Patrice Gracia Pangaribuan; Bayu Sulistiyanto Ipung Sutejo; Gerry Firmansyah; Arief Ichwani
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 03 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i03.1804

Abstract

Price fluctuations in strategic horticultural food commodities can affect food and economic stability. This study aims to predict the prices of shallots, garlic, red chilies, and bird’s eye chilies in Central Java Province using Random Forest Regression based on historical prices and climate variables, and to interpret climate variable contributions using Shapley Additive Explanations (SHAP). Price data were obtained from the National Strategic Food Price Information Center (PIHPS), while climate data were collected from four BMKG stations during 2018–2025. The model used 16 features, including historical prices, average temperature (TAVG), average humidity (RH_AVG), rainfall (RR), rolling features, and calendar variables. Evaluation was conducted using MAE, RMSE, and MAPE at H+1, H+7, and H+30 forecasting horizons. The results show that the best performance was achieved for garlic price prediction at H+1, with a MAPE of 1.69%, while the highest error occurred for red chili at H+30, with a MAPE of 26.72%. SHAP analysis shows that TAVG was dominant in chili commodities, while RR and RH_AVG had greater influence on shallots and garlic. These findings indicate that Random Forest and SHAP can support short-term price prediction with interpretable climate variable contributions.
Co-Authors Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agam Aprianto Agung Mulyono Widodo Ahmad Mutedi Akbar, Habibullah Alandrian Surya Tantra Alandrian Surya Tantra Alexander Alexander, Alexander Alnino Dio Putera Alnino Dio Putera Amelia Sholikhaq Andriana, Dian Andrianto, Eko Andrih Setiawan Andriyanti Asianto Andriyanti Asianto Andriyanti Asianto Anisa Aulia Annazma Ghazalba Anwar Solihin, Muhamad Ardiansyah, Miri Arif Pami Setiaji Arisandi Langgeng Tardiana Asmara, Qiqi Aulia, Anisa Aurel Elviolita Putri Aurel Elviolita Putri Ayu Larasati Azizah, Anik Hanifa Azzam Robbani, Muhammad Bayu Sulistiyanto Ipung Sutejo Bob Tjahjono Budi Aribowo Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Catur Agus Sulistyo Devi Irawan Dian Fajar Septianto Dodo, La Dudy Fathan Ali Dwi Nurmawaty Dwi Nurmawaty Dwi Pamungkas, Eric Dwiaji, Lingga Dwiputra, Dedy Edi Kartawijaya Eric Dwi Pamungkas Farida Farida Fathan Ali, Dudy Fatonah, Nenden Siti Fernandes Gamaliel, Adhi Fiqar Haytsam Muhammad Dzul Qornain Ghazalba, Annazma Gilang Banuaji Gilang Romadhanu Tartila Gunawan, Sholeh Gusti Fachman Pramudi Habibullah Akbar Hadi, Muhammad Abdullah Hani Dewi Ariessanti Haryoto, Iin Sahuri Hendaryatna Hendaryatna Herwanto, Agus Husni Sastra Mihardja Husni Satra Mihardja Husni Satra Mihardja Ichwani, Arief Intan Setya Palupi Irawan, Devi Irsyadul Anam, Reza Ismiyati Meiharsiwi Kailani Ridwan, M Kevin Valeri Khairurrahman, Rifqi La Dodo Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana M Bahrul Ulum, M Bahrul Marzuki Pilliang Master Maruahal Sidabutar Maulana, Syaban Meiharsiwi, Ismiyati Mochamad Welly Rosadi Muhammad Azzam Robbani Muhammad Ersa Arkhab Muhammad Fajrul Aslim Muhammad Hadi Arfian Muhammad Kailani Ridwan Munawar Muslih, Muhamad Mutedi, Ahmad Narul Sakron Nasihin, Anwar Nenden Siti Fatomah Nila Rusiardi Jayanti Nindyo Artha Dewantara Wardhana Noval Rizky Ramadhan Nugraha, William Nugroho Budhisantosa Popong Setiawati Popong Setiawati Putra, Sipky Jaya Rachman, Riyandi Patu Randhy Hans, Achmad Raynaldi Sandy Raynaldi Sandy Reza Irsyadul Anam Rifqi Khairurrahman Riris Septiana Sita Dewi Riya Widayanti Riyan Asep Susanto Rizky Yananda Rosnanto, Imam Rudy Setiawan Ryan Tri Pamungkas Sabri Alim Sakron, Narul Sea, Rona Aulia Wangsa Sholeh Gunawan Sigit Purworaharjo Siti Fatomah, Nenden Sri Redjeki Sugiyanti, Sri Dewi Suhatati Tjandra Suhendry, Mohammad Roffi Supardi Supardi Supriyade Supriyade Supriyade, Supriyade Syaban Maulana Syafika Zalfanissa Dila Syafika Zalfanissa Dila Trifina Sartamti Valencia Patrice Gracia Pangaribuan Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo, Agung Mulyo Widodo, Agung Mulyono Wijaya, Jacob S William Nugraha William Nugraha Pratama Laua Yessy Oktafriani Yoggy Montana Hendry Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri