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Menampilkan 1–10 dari 31 artikel
Artificial Neural Network-Based Diabetes Prediction Analysis Using CDC Diabetes Health Indicators Data: Analisis dan Prediksi Diabetes Menggunakan Artificial Neural Network dengan Dataset CDC Diabetes Health Indicators
Jurnal Riset Sistem dan Teknologi Informasi
Vol 4
, No 1
(2026)
Diabetes mellitus is a chronic disease with increasing prevalence and requires effective early detection efforts. This study aims to develop a diabetes risk prediction model using an Artificial Neural Network (ANN) based on non-laboratory health indicators. The dataset used is the CDC Diabetes Health Indicators with a large amount of data and characteristics of classes that are not fully balanced. The research stages include data preprocessing that includes handling missing values, encoding cate...
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Analisis Rencana Kebijakan Pelibatan Ekspatriat pada Jajaran Direksi di PT. Garuda Indonesia
Raihani Khairunissa Barni
; Syarach Agusti Ekasuci
; Ayu Maulani
; Sabillah Azhari
; Tati
; Abdullah Qiqi Asmara
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The policy of involving expatriates in the board of directors of State-Owned Enterprises (SOEs) has become a debated issue, particularly regarding its implications for corporate governance and national workforce interests. The main problem discussed in this article is how the policy of expatriate involvement in the board of directors of PT Garuda Indonesia is viewed from the perspective of Good Corporate Governance (GCG). This study aims to analyze the suitability of the policy with GCG principl...
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Analisis Sentimen X: Kegagalan Timnas ke Piala Dunia 2026 dengan Naive Bayes
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
The performance of the Indonesian National Team (Timnas) in the 2026 World Cup qualifications has triggered massive and diverse responses on social media, particularly on platform X. This study aims to identify and classify public sentiment regarding Timnas Indonesia's performance into positive, negative, and neutral categories using a data mining approach. Text data was processed through pre-processing stages, term weighting using TF-IDF, and the application of the Synthetic Minority Over-sampl...
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Prediksi Penyakit Jantung Menggunakan Algoritma Machine Learning Berdasarkan Indikator Kesehatan
Karo-Karo, Julkarnaen
; Syakir, Adryan Raihan
; Raihan, Raihan
; Sumanto, Sumanto
; Budiawan, Imam
; Pakpahan, Roida
; Christian, Ade
; Karo-Karo, Julkarnaen
; Syakir, Adryan Raihan
; Raihan, Raihan
; Sumanto, Sumanto
; Budiawan, Imam
; Pakpahan, Roida
; Christian, Ade
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2025)
Penyakit jantung tetap menjadi penyebab utama kematian di seluruh dunia, sehingga menekankan perlunya deteksi dini dan langkah pencegahan aktif melalui pendekatan yang didasarkan pada analisis data. Penelitian ini bertujuan untuk memprediksi kemungkinan terjadinya penyakit jantung dengan memanfaatkan berbagai metode pembelajaran mesin, yang bergantung pada indikator kesehatan seperti nilai tekanan darah, tingkat kolesterol, indeks massa tubuh, serta pengukuran denyut nadi. Penelitian ini menerap...
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Business Law Analysis of Investment Development Strategies in the Regional Autonomy Era: Legal Certainty, Institutions, and Central-Regional Synergy
Jurnal Penelitian Serambi Hukum
Vol 19
, No 01
(2025)
This study examines investment development within regional autonomy, emphasizing the importance of legal certainty, institutional governance, and coordinated interaction between central and local governments. The research aims to analyze regional strategies for strengthening the investment climate and to identify forms of legal certainty and authority synergy that influence regional investment performance. Using a normative juridical method, the study reviews relevant legislation and secondary s...
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Analisis Pengaruh SIMRS Terhadap Kinerja Perawat Di Rumah Sakit X Kota Banjarmasin
Jurnal Manajemen Informasi dan Administrasi Kesehatan
Vol 8
, No 2
(2025)
Sistem Informasi Manajemen Rumah Sakit (SIMRS) termasuk sebagai komponen yang bisa mempengaruhi kinerja perawat untuk menyelesaikan segala pelayanan, melalui keberadaan SIMRS ini manajemen mampu menetapkan tindakan yang tepat menyesuaikan informasi yang dikumpulkan pada sistem. Penelitian dilaksanakan dengan tujuan mengetahui pengaruhnya SIMRS terhadap kinerja perawat dalam pengisian rekam medis elektronik pada unit rawat inap di RS X. Metode yang diterapkan yaitu kuantitatif melalui metode cros...
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Digitalisasi Layanan Publik dan Dampaknya pada Ekologi Administrasi Sosial: Peluang dan Risiko
Sri Yulianty Mozin
; Romy Tantu
; Edis Adelia Dunggio
; Siti Rukiah Yusup
; Arit Pratama Putra Lihawa
; Zavicka Aulia Natasya
; Sabrina Meamogu
; Siti Fadilah Atjil
; Siti Nurain Tuna
; Nopal R. Abas
; Adeliptia Abdullah
; Raihan Alamsyah Hilapah
; Wal Fajri
Jurnal Media Administrasi
Vol 10
, No 2
(2025)
This article explores the background, methods, results, and conclusions of digitalization in public services, focusing on its impact on the social administration ecology. It examines the rapid adoption of e- government and ICT (information and communication technology) by public administrations worldwide since 2020, investigating both opportunities and risks. Methods include a systematic literature review and qualitative case studies drawn primarily from peer-reviewed journals published between...
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Analisis Kinerja Ruas Jalan Perkotaan Jl. Ajibarang – Secang (Jl. Ahmad Yani) Kota Wonosobo
Pasak Jurnal Teknik Sipil dan Bangunan
Vol 3
, No 1
(2025)
Jalan merupakan faktor yang sangat penting bagi penduduk untuk berhubungan antara daerah yang satu ke daerah yang lain, selain itu jalan juga berfungsi untuk memperlancar kegiatan perekonomian dan aktivitas sehari-hari penduduk. Kabupaten Wonosobo memiliki luas wilayah 984,68 km2 dengan jumlah penduduk mencapai 909.664 jiwa pada data sensus 2023. Tingkat kepadatan penduduk yang tinggi ini berpengaruh pula pada kegiatan lalu lintas. Kondisi tersebut dapat dilihat pada Jalan Ajibarang - Secang (Ja...
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Model Klasifikasi Emosi Berbasis Teks dengan Algoritma Decision Tree dan Support Vector Machine
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Text-based communication has become a key means of interaction across various sectors. Previous studies have applied supervised learning algorithms to emotion classification in text. These studies used different datasets, but this diversity also introduced a risk of overfitting in text-based emotion classification models. Consequently, the use of cross-validation and hyperparameter optimization is required to ensure the model’s generalization ability. The aim of this research is to compare the p...
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Analisis Manfaat Penggunaan Aplikasi MY BEST di Universitas Bina Sarana Informatika (Metode System Usability Scale): (Metode System Usability Scale)
Putie Maharani Basa
; Putie Maharani Basa
; Nurullah Sururi Afif
; Sita Deliana
; Salwa Gunawan
; Anisa Yesi
; Andhika Adriandra
; Raihan Naufal
Jurnal Elektronika dan Komputer
Vol 18
, No 1
(2025)
The advancement of information technology has had a profound impact on education, including at the Universitas Bina Sarana Informatika (UBSI), where My Best, an elearning application, was created. With this program, users may participate in a variety of academic tasks, including online attendance, discussions, assessments, assignments, and course materials. But pupils continue to face usability difficulties. The System Usability Scale (SUS) technique is used in this study to assess the usability...
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