PERANCANGAN PROTOTIPE CLINICAL DECISION SUPPORT SYSTEM UNTUK PREDIKSI RISIKO …

Type 2 diabetes is a chronic disease that requires early detection to reduce the risk of complications. This study aims to design a web-based prototype Clinical Decision Support System (CDSS) to predict diabetes risk using the XGBoost algorithm and improve interpretability through the SHAP method. The dataset used was obtained from Kaggle and consisted of approximately 100,000 records with eigh…

SISTEM PREDIKSI BANJIR MENGGUNAKAN SENSOR TEKANAN DAN WATERFLOW SENSOR DENGAN…

Most current flood prediction studies rely on secondary data with limited temporal resolution and Deep Learning models with high computational demands. This research addresses this gap by designing an early warning system that is computationally efficient, utilizing direct physical sensor data within a controlled simulation. The objectives are to measure water flow velocity (m/s) using an optoc…

ANALISIS LAPORAN KEUANGAN DENGAN METODE Z SCORE UNTUK MEMPREDIKSI KEMUNGKINAN…

Edition

-

ISBN/ISSN

-

Collation

xi, 93 hlm.: Ilus., tab.; 29 cm

Series Title

-

Call Number

T24412

HUBUNGAN ADIKSI INTERNET DENGAN INDEKS PRESTASI KUMULATIF MAHASISWA FAKULTAS …

The Internet is a technology that is widely used by all people in the world. The number of internet users in Indonesia reached 221,563,479 as of early 2024. The internet has many impacts, both positive and negative, one of which is internet addiction. Among teenagers, internet addiction is a phenomenon that is happening a lot, especially among medical students at Sriwijaya University because th…

MODEL PREDIKSI RISIKO HIPERTENSI PADA DEWASA DENGAN OVERWEIGHT MENGGUNAKAN SU…

Hypertension is a global health issue often associated with overweight, a condition characterized by excessive fat accumulation that can increase the risk of hypertension by 3-4 times. Machine Learning approaches, such as the Naïve Bayes algorithm, have proven effective in analyzing complex data and predicting various health conditions, including hypertension in individuals with overweight. Th…

MACHINE LEARNING MODEL ARTIFICIAL NEURAL NETWORK UNTUK PREDIKSI RISIKO OBESIT…

Background: Obesity is a clinical condition characterized by abnormal fat accumulation and has significantly increased in prevalence since 1980. Obesity and prediabetes are complexly related to factors such as age, gender, and lifestyle. Obesity contributes to insulin resistance, dyslipidemia, and beta-cell dysfunction, which progresses to type 2 diabetes mellitus. These conditions may occur co…

PEMBANGUNAN MODEL PREDIKSI PERMINTAAN TRANSPORTASI UDARA DI INDONESIA BERDASA…

Air transportation plays an essential role in Indonesia, the world’s largest archipelagic country, in supporting connectivity and national economic growth. This study aims to predict the number of air passengers using a machine learning model based on annual time series data (1970–2021) from the World Bank. In the preprocessing stage, a Fuzzy Logic method based on the Non-Stationary Fuzzy T…

ANALISIS POTENSI KEBANGKRUTAN DENGAN METODE ALTMAN Z-SCORE DAN METODE SPRINGA…

This study aims to analyze the differences in prediction results between the Altman Z-Score and Springate S-Score models in detecting potential financial distress in 57 consumer non-cyclical sector companies listed on the Indonesia Stock Exchange during the 2019-2023 period. Using a quantitative method, the study found significant differences between the two models. The Springate S-Score proved…

DIKSI DALAM BAHASA INDONESIA RAGAM TULIS: Brosur Seminar

Edition

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ISBN/ISSN

978-979-685-788-3

Collation

viii, 99 hlm. : ilus. ; 23 cm

Series Title

-

Call Number

499.218 Kur d

PERBANDINGAN HASIL PREDIKSI TINGKAT RESIKO PENYAKIT JANTUNG KORONER MENGGUNAK…

This study examines and compares the results of the Fuzzy Inference System using the Tsukamoto method and the Mamdani method in predicting the risk level of coronary heart disease. A total of 47 data were used in this experiment with input variables including age, blood sugar, cholesterol, blood pressure, and maximum heart rate. The output variable is the risk level, which is determined based o…

PREDIKSI CURAH HUJAN MENGGUNAKAN DEEP LEARNING ALGORITMA RECURRENT NEURAL NET…

This research aims to address the significant challenges caused by climate change in Palembang City, which has experienced substantial variations in rainfall with significant impacts during the period from 1999 to 2010. This research focuses on developing a predictive model using a Recurrent Neural Network (RNN) to forecast rainfall in Palembang from February 4, 2023 to February 4, 2028. The ut…

Diksi dan Gaya Bahasa

Edition

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ISBN/ISSN

979-22-2657-5

Collation

XIII, 155 hlm21 cm

Series Title

-

Call Number

410 Ker d

BAHASA INDONESIA untuk PERGURUAN TINGGI

Edition

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ISBN/ISSN

-

Collation

xi, 234 hlm; 24 cm

Series Title

-

Call Number

459.8 Rah b

PEMODELAN PREDIKSI KINERJA SISWA DENGAN HYBRID PARTICLE SWARM OPTIMIZATION-SU…

Improving the quality of education is very important in the development of a country. Identifying representative educational data and conducting predictive analysis of student performance in an educational institution is very important to assist management in determining strategies and making decisions to improve student performance. This study modeled student performance using Hybrid Particle …

PRINSIP NON-INTERVENSI DALAM ASEAN CHARTER DIHUBUNGKAN DENGAN JUNTA MILITER D…

ASEAN is a regional organization in Southeast Asia. Formed in 1967 with an initial membership of five countries, in ASEAN there is a principle that is upheld, namely the Principle of Non-Intervention. This principle is contained in Article 2 point (e) of the ASEAN Charter. Non-Intervention in ASEAN is an agreement from member countries as a form of respect for the sovereignty of each member cou…

PENUNDAAN KEWAJIBAN KONTRAK INTERNASIONAL PENGANGKUTAN BARANG JALUR LAUT AKIB…

This research analyzed the role of international law in resolving problems in contracts for the carriage of goods by sea due to the COVID-19 pandemic. This was normative legal research by analizing library research. The problems discussed in this research were international legal instruments that regulate international contract for the carriage of goods by sea and its problems during the COVID-…

HUBUNGAN TINGKAT ANSIETAS DASAR DENGAN ADIKSI INTERNET PADA PENGUNJUNG RUANG …

Ansietas merupakan psediktor kisat dari adiksi internet Akan tetapi, terdapat kesenjangan antara postulat tgrsefeut sistematis yang menunjukkan bahwa hampir setengah dasi s&udi aseneraukaa ht&ungan yang signifikan antara ansietas dengan adiksi asfcsmeL Pzrsmtese acsietas paling tinggi yang dialami pengunjung ruang Sayenan dig5t&! Perpustakaan UNSRI Indralaya adalah ansietas d2S&? (tratt awcieiy…

UJI SKEMA PARAMETERISASI KUMULUS BETTS MILLER-JANJIC PADA MODEL WEATHER RESEA…

Numerical Weather Prediction is a numerical method that is often used used to describe the state of the atmosphere. One of the software that implements NWP numerical method is Weather Research Forescasting (WRF). WRF expected can provide information about the weather conditions well and easily. WRF using input data in the orm o lobal ore ast ystem data ith a resolution o hour temporal and . . g…

PREDIKSI KUALITAS UDARA BERDASARKAN INDEKS STANDAR PENCEMAR UDARA MENGGUNAKAN…

ndeks Standar Pencemar Udara (ISPU) merupakan standar untuk mengukur tingkat kualitas udara di Indonesia. Kategori pada ISPU digunakan sebagai informasi keadaan kualitas udara pada wilayah tertentu. Tingginya nilai ISPU dapat mengakitbatkan gangguan kesehatan dan penuruan produktivitas ekonomis. Kategori pada kondisi kualitas udara disuatu tempat ditentukan berdasarkan 5 parameter yaitu SO2, PM…

ROBUST SET COVER PROBLEM DALAM PENENTUAN LOKASI OPTIMAL UNIT GAWAT DARURAT DI…

This research aims to develop a Robust Set Covering Problemmodel using the P-median Problem and applied with the Technique For Other Reference by Similarity to Ideal Solution method in optimizing the location of emergency facilities in Palembang City based on robustness problems such as distance that are not known with certainty. The P-median problem is the center of various discrete location m…

ROBUST SET COVER PROBLEM DALAM PENENTUAN LOKASI DINAMIK OPTIMAL INSTALASI GAW…

This study aims to optimize the location and distance of the Emergency Installation (IGD) in the city of Palembang, by applying the Robust Set Cover problem model. Robust SCP is one of the methods used to optimize facility location problems that can be solved by modeling the P-median using the TOPSIS method so as to serve the needs from the point of request to the location of the facility. In t…

KEWENANGAN PENGELOLAAN WILAYAH PESISIR DAN PULAU-PULAU KECIL DI TELUK JAKARTA

Reklamasi Teluk Jakarta atau bisa disebut Reklamasi Pantai Utara Jakarta merupakan salah satu proyek reklamasi yang banyak mendapat sorotan dari berbagai pihak. Pelaksanaan pengembangan yang perizinannya menjadi masalah akibat undang-undang yang tidak memberi kepastian hukum mengakibatkan ketidakjelasan mengenai pihak yang berwenang memberikan izin bagi Reklamasi Teluk Jakarta. Pelaksanaan proy…

REGULASI DIRI DALAM BELAJAR PADA MAHASISWA ADIKSI BELANJA ONLINE PROGRAM STUD…

This study is a research that uses quantitative descriptive methods with the aim of knowing self-regulation in learning in the students of the Counseling Guidance study program at Sriwijaya University in Palembang class who experience online shopping addiction. The population in this study were 88 students with sampling using the "Purposive Sampling" technique, which was taken with the criteria…

PROFIL REGULASI DIRI SISWA ADIKSI GAME ONLINE KELAS XI DI SMA SRIJAYA NEGARA …

This research is a quantitative descriptive method that aims to find out how the self-regulation profile of online game addiction class XI students at Srijaya State High School Palembang. The population in this study were all students of class XI totaling 236 students. Samples were taken by using the purposive sampling technique with online addiction criteria based on high intensity, low intens…

IMPLEMENTASI FUZZY TIME SERIES MULTIVARIAT UNTUK MEMPREDIKSI CURAH HUJAN DI K…

Rainfall prediction is carried out in an effort to determine the state of rainfall in the future. Because the amount of rainfall that will occur is not easy to know for sure. So in this study, predict using the Multivariate Fuzzy Time Series Method because it can project future data based on time series data. The advantages of the multivariate Fuzzy Time Series method have 2 factors, 1 variable…

INVITATION TO THE GAME

Edition

-

ISBN/ISSN

0-671-74236-1

Collation

183 p.; 20 cm.

Series Title

-

Call Number

808.83872 Hug I

IN SEARCH OF LOST TIME VOLUME ONE: SWANN'S WAY WITHIN A BUDDING GROVE (PART ONE)

Edition

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ISBN/ISSN

1-84159-896-8

Collation

li, 633 p. : ill, ; 21 cm

Series Title

THE MILLENNIUM LIBRARY

Call Number

823 Pro i

College Writing Skills : A TEXT WITH EXERCISES

Edition

-

ISBN/ISSN

0-15-511740-8

Collation

xi, 338 p. : ill, ; 28 cm

Series Title

-

Call Number

808.02 Jon c

Implementasi konseling individual dengan teknik Penguatan Positif untuk mengu…

Penelitian ini berjudul implementasi konseling individual dengan teknik penguatan positif untuk mengurangi perilaku adiksi game online pada siswa “X” SMP Negeri 1 Indralaya. Penelitian ini bertujuan untuk menerapkan dan menggambarkan layanan konseling individual dengan teknik penguatan positif pada siswa ”AR” yang mengalami perilaku adiksi game online di Sekolah Menengah Pertama Negeri …

Rancang bangun perangkat lunak untuk memprediksi customer churn dengan pend…

Industri telekomunikasi merupakan salah satu industri yang berkembang pesat dan mengalami transformasi radikal. Salah satu sektor telekomunikasi yang mengalami transformasi tersebut adalah saluran telepon. PT Sampoerna Telekomunikasi Indonesia (STI) Ceria merupakan salah satu provider telekomunikasi resmi di Indonesia yang menyediakan produk business solution untuk menghemat biaya saluran telep…