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All Journal REKA RACANA Jurnal EMPATI InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Educational Management Al-Wijdan : Journal of Islamic Education Studies Network Engineering Research Operation [NERO] Computer Based Information System Journal Journal of Educational Research and Evaluation Journal of Education Technology COMPTON: Jurnal Ilmiah Pendidikan Fisika Jurnal Teknologi Terapan JURNAL TEKNOLOGI INFORMASI Infotekmesin Informatika JMTS: Jurnal Mitra Teknik Sipil International Journal Of Science, Technology & Management (IJSTM) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Blend Sains Jurnal Teknik Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Teknologi Informasi Indonesia AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada Journal Technology Information and Data Analytic Ulil Albab Jurnal Pendidikan Progresif
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Strategi Digitalisasi di Bank Syariah untuk Meningkatkan Daya Saing Setiawan, Aji; Diadani, Prans Sintia; Masyita, Rilla; Putri, S Ritonga Ari; Nurbaiti, Nurbaiti
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 2 No. 1 (2025): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/6v1maz65

Abstract

Digitalization strategies in Islamic banks are important to increase competitiveness in the increasingly competitive digital era. The research objective of this journal is to explore the development and strategies of digitization in Islamic banks in an effort to improve their competitiveness in the increasingly growing digital era. With the advancement of financial technology and changes in consumer behaviour, Islamic banks are faced with the challenge of providing faster, easier, and more accessible services, while still complying with sharia principles. This research uses a qualitative approach with the literature study method to collect relevant data and information regarding digitalization in sharia banking. Research results show that the implementation of sharia financial technology, the development of digital banking platforms, the use of Big Data, and the implementation of blockchain are key strategies that can increase the competitiveness of Islamic banks. The implementation of sharia fintech can expand access to banking services and attract young customers, while digital platforms such as mobile banking and internet banking can facilitate transactions. In addition, the use of Big Data allows banks to understand customer behaviours and offer more personalized services, while blockchain increases transaction security and transparency. In conclusion, digitalization is not only an option, but a necessity for Islamic banks to remain relevant and compete in the increasingly dynamic financial market.
Perbandingan Kedua Algoritma Decision Tree dan Naive Bayes untuk Prediksi Penyakit Gagal Jantung Saputra, Alvin Nugraha; Setiawan, Aji; Nuryamin, Yamin; Priyatna, Ade; Dewi, Zahra Alifia
Jurnal Teknologi Informasi Indonesia (JTII) Vol 10 No 2 (2025): Jurnal Teknologi Informasi Indonesia (November)
Publisher : JURNAL TEKNIK INFORMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30869/jtii.v10i2.1544

Abstract

Gangguan jantung telah menjadi penyebab utama kematian secara global, dengan tren kejadian yang terus meningkat di berbagai negara. Keberhasilan penanganan penyakit ini sangat bergantung pada diagnosis dini yang akurat. Namun, upaya deteksi dini di lapangan menghadapi tantangan yang signifikan, terutama terbatasnya jumlah tenaga medis yang tersedia dan ketersediaan sumber daya diagnostik yang memadai. Untuk mengatasi gambaran ini, pemanfaatan algoritma data mining menawarkan solusi efektif untuk mengidentifikasi pola dan memprediksi risiko penyakit jantung. Penelitian ini secara khusus dirancang untuk menganalisis dan membandingkan kinerja dua algoritma klasifikasi yang populer di bidang medis: Decision Tree (C4.5), yang berbasis aturan, dan Naive Bayes, yang berbasis probabilitas. Tujuannya adalah menentukan model mana yang paling efektif dalam risiko gagal jantung. Dataset penelitian ini telah melalui tahap preprocessing yang cermat sebelum dibagi menjadi 70% data latih dan 30% data uji, guna memastikan validasi model yang objektif. Berdasarkan hasil pengujian, ditemukan bahwa algoritma Naive Bayes memberikan kinerja yang lebih unggul dengan akurasi 86,41%. Sementara itu, algoritma Decision Tree C4.5 memperoleh akurasi 80,43%. Hasil ini secara jelas menunjukkan pendekatan probabilistik yang digunakan oleh Naive Bayes—walaupun memiliki asumsi independensi fitur—terbukti lebih efektif dalam menangani karakteristik dan kompleksitas dataset penyakit jantung dalam penelitian ini, dibandingkan dengan pendekatan berbasis pohon keputusan. Temuan ini memberikan wawasan penting bahwa Naive Bayes dapat dijadikan referensi yang kuat untuk pengembangan sistem diagnosis dini penyakit gagal jantung. Dengan akurasi lebih tinggi, algoritma ini dapat membantu kesehatan profesional mempercepat proses diagnosis, meningkatkan ketepatan prediksi risiko, dan pada pasangannya, berkontribusi menyelamatkan lebih banyak nyawa.
Comparative Analysis Of On-Page And Off-Page White Hat Search Engine Optimization (SEO) Techniques On Website Popularity Aryani, Diah; Shine Pintor Siolemba Patiro; Setiawan, Aji; Tjahjono, Budi
International Journal of Science, Technology & Management Vol. 4 No. 3 (2023): May 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i3.815

Abstract

Currently, the use of Search Engine Optimization (SEO) has become a necessity to achieve better ranking results from Search Engines known as Search Engine Optimization, which is a collection of techniques for positioning a site so that it can be indexed by search engines and get a position in search engine results—result Pages (SERPs). Based on Globalstatistics data, there has been an increase in internet users in Indonesia who search for products through the search engine market, which has reached 97.38%. This study aims to increase the visibility of a website or multi-umah web page in search results to get a higher ranking on the SERPs in the search results. search results using white hat SEO by comparing on-page techniques and off-page techniques through descriptive qualitative methods, then analyzed using Google Search Console and Google Analytics tools to understand keyword performance, behavior, and customer interests on the umahmulti.biz.id website
Penerapan Empirical-Bayes pada Sistem Peringkat Produk E-Commerce Pratama, Chandra; Ramadhan, Fahri; Arrazi Satria, Ghibran; Setiawan, Aji
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i3.10494

Abstract

This study examines the application of Empirical Bayes (EB) smoothing for product ranking in e-commerce platforms characterized by sparse sales signals and highly skewed transaction distributions. Under these conditions, top lists tend to fluctuate when rankings rely solely on raw cumulative sales, particularly for long-tail products; therefore, a method that balances population-level information with item-level evidence is required to produce more consistent top-k rankings. The method models purchase counts using a Gamma–Poisson framework, where a global prior is estimated from the overall data and item-level posteriors are updated so that the posterior mean serves as a smoothed popularity score. Experiments are conducted on real product catalogs (smartphones and laptops) augmented with a 12-week sales simulation featuring mild seasonality and promotional noise, and EB is compared against a naive baseline that ranks items by raw cumulative units sold under a rolling, week-by-week evaluation. Results show that EB improves NDCG@5 and NDCG@10 while reducing week-to-week Top-10 churn relative to the baseline, with the most notable gains observed for low-signal and long-tail items because shrinkage dampens extreme rank swings caused by sparse observations. Overall, EB smoothing is effective in stabilizing top-k product rankings for listing interfaces and administrative dashboards, and it can be extended through time-decayed priors and the incorporation of contextual features such as price and category to further improve ranking accuracy
KINERJA SEISMIK SISTEM RANGKA PEMIKUL MOMEN BEBAN GRAVITASI DENGAN SCWB DAN WCSB PADA GEDUNG BAJA 5 LANTAI Setiawan, Aji; Prabowo, Andy; Leman, Sunarjo
JMTS: Jurnal Mitra Teknik Sipil Volume 9, Nomor 1, Februari 2026
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v9i1.35932

Abstract

This study reviews the performance of the special moment resisting frame (SMRF) structure of steel structure buildings using highly ductile member (HDM) steel profiles in high seismic areas against gravity loads as a 'baseline' before further seismic analysis is carried out aimed at evaluating the performance level, how many performance points, collapse patterns, and capacity curves. This study conducted structural modeling into 4 models, model 1 was designed using joint placement and strong column weak beam (SCWB) steel profiles. Model 2 was designed using clamped placement and SCWB steel profiles. Model 3 was designed using joint placement and weak column strong beam (WCSB) steel profiles. Model 4 was designed using clamped placement and WCSB steel profiles. Then from the four models, a pushover analysis was carried out to compare the performance of the building structure which model is better. Through the performance evaluation method, namely the capacity spectrum method (CSM), the results of the study show that model 2 shows the best balance between stiffness and the highest capacity and maintains high elastic and strength performance, making it the most efficient and safe design choice. Abstrak Penelitian ini meninjau kinerja struktur sistem rangka pemikul momen khusus (SRPMK) bangunan struktur baja menggunakan profil baja highly ductile member (HDM) di wilayah seismik tinggi terhadap beban gravitasi sebagai 'baseline' sebelum dilakukan analisis seismik lebih lanjut bertujuan untuk evaluasi level kinerja, berapa performance point, pola runtuh, dan kurva kapasitas. Penelitian ini dilakukan pemodelan struktur menjadi 4 model, model 1 dirancang menggunakan perletakan sendi serta profil baja strong column weak beam (SCWB). Model 2 dirancang menggunakan perletakan jepit serta profil baja SCWB. Model 3 dirancang menggunakan perletakan sendi serta profil baja weak column strong beam (WCSB). Model 4 dirancang menggunakan perletakan jepit serta profil baja WCSB. Kemudian dari keempat model tersebut dilakukan analisis pushover untuk membandingkan kinerja struktur bangunan model mana yang lebih baik. Melalui metode evaluasi kinerja yaitu capacity spectrum method (CSM), hasil penelitian bahwa pada model 2 menunjukkan keseimbangan terbaik antara kekakuan dan kapasitas tertinggi serta mempertahankan kinerja elastis dan kekuatan yang tinggi sehingga menjadikannya pilihan desain yang paling efisien dan aman.
Co-Authors Adam Arif Budiman Ade Priyatna ADE SUPRIATNA Adi Dinardinata, Adi Adiputro, Muhammad Krisna Afri Yudha Alim, Setyo Damara Andi Susilo Andreas, Dhio Andy Prabowo Anggoro, Wisnu Arrazi Satria, Ghibran Baehaqi Bagus Tri Mahardika Banu, Kuncoro Budi Tjahjono Dariyus, Asyari Dewi, Zahra Alifia Diadani, Prans Sintia Diah Aryani, Diah Emilia, Desiana Elsa Eva Novianti Fachrul Madrapriya, Fachrul Fitriana, Nenda Hafidz, Jordi Hary Soedarto Harjono Herianto Hery Teguh Setiawan Ibrahim Nawawi ILHAM Ilham Ilham Kristiana, Titin Marcel, Mitchell Masyita, Rilla Muhammad Reza, Dwiky Pratama, Chandra Putri, S Ritonga Ari Rabi, Abd. Ramadhan, Fahri Saputra, Alvin Nugraha Setyaningsih, Timor Shine Pintor Siolemba Patiro Sianturi, Rimba Sudibyo, Tommy Sunarto Sunarto Suzuki Syofian Timor Setiyaningsih Tri Suminar Triwibowo, Triwibowo Ugi Nugraha Yahya Yamin Nuryamin Yan Sofyan Andhana Saputra Yandhika Surya Akbar Gumilang Yati Muliati Yuli Kurniawati Sugiyo Pranoto Zakaria, Andriansyah Zianka, Irfan Divi