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All Journal International Journal of Electrical and Computer Engineering Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Proceeding SENDI_U Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Jurnal Komputer Terapan IJIS - Indonesian Journal On Information System JURNAL ILMIAH INFORMATIKA JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informasi dan Komputer JURNAL MAHAJANA INFORMASI Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik JATI (Jurnal Mahasiswa Teknik Informatika) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Intech : Information Technology Journal of UMUS Infotek : Jurnal Informatika dan Teknologi MEANS (Media Informasi Analisa dan Sistem) Journal of Applied Data Sciences Advance Sustainable Science, Engineering and Technology (ASSET) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Jurnal Rekayasa elektrika
Wiwien Hadikurniawati
Universitas Stikubank
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Journal : JURNAL ILMIAH INFORMATIKA

 1 
IMPLEMENTASI PEMILIHAN MOTOR BEKAS MENGGUNAKAN METODE AHP-TOPSIS Alviani Setya Yuniantika; Wiwien Hadikurniawati
JURNAL ILMIAH INFORMATIKA Vol 9 No 01 (2021): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v9i01.3708

Abstract

A motorbike is a type of transportation that runs on an engine and has two wheels. Used is something that has been called not new. Human need for transportation means the most in the use of motorbikes. Economic limitations of some people choose to buy used motorbikes. In the selection, it is difficult to help consumers determine the choice of vehicle to be purchased. This is because there are so many types of motorbikes in one brand. This study aims to recommend a reference solution as a basis for consideration in selecting a used motorbike. This decision support system in solving this problem uses AHP and TOPSIS. The AHP method was chosen because it produces weighted criteria. Meanwhile, TOPSIS was chosen because for ranking determination, it is expected to provide the best used motorbike recommendation solutions to buyers
IMPLEMENTASI METODE NAÏVE BAYES CLASSIFIER UNTUK KLASIFIKASI STATUS GIZI STUNTING PADA BALITA Monica Yoshe Titimeidara; Wiwien Hadikurniawati
JURNAL ILMIAH INFORMATIKA Vol 9 No 01 (2021): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v9i01.3741

Abstract

Stunting describes a state of chronic malnutrition during growth and development since early life. This situation is represented by the height z-score for age (TB/U), which is less than minus 2 standard deviations (SD), based on WHO growth standards.Data from the Semarang City Health Office stated that the results of monitoring nutritional status based on indicators of body length for age (PB/U) or height for age (TB/U) the incidence of stunting in the city of Semarang was 20.37%. This research will make it easier to determine information regarding the classification of stunting nutritional status in toddlers. Stunting data will be processed and used as information regarding normal or not stunting nutritional status in toddlers. With this information, it can make it easier to collect data on toddlers who experience stunting nutritional status, besides that it can also be used to hold counseling to increase stunting nutritional levels and prevent stunting in toddlers by using the Naive Bayes Classifier. The accuracy result of the Naive Bayes Classifier method in classifying stunting nutritional status is 88%
IMPLEMENTASI METODE BUSINESS PROCESS REENGINEERING (BPR) PADA SISTEM PELAYANAN DATA PENDUDUK M Arip Islahudin; Wiwien Hadikurniawati
JURNAL ILMIAH INFORMATIKA Vol 10 No 01 (2022): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v10i01.4598

Abstract

Kalimas Village is currently still using conventional methods in providing population data services so that the recording process takes a long time. The solution to overcome this is to create a web-based program that has features of recording and reporting population data. With this website, employees don't need books and Microsoft Word to make notes that happen twice. Business Process Reengineering (BPR) is a business approach that focuses on analyzing workflows or business processes that occur within an institution or organization. The author applies the BPR method to identify the workflow of the system that is running at the Kalimas Sub-District office and get an idea for creating a web-based application to help speed up the process of serving population data in Kalimas Sub-District. The results of this study are in the form of a population administration system to record SKTM, KTP, KK, Birth Certificates, Death Certificates, Transfer Certificates, and Coming Transfer Letters. Parties who can use this application are kelurahan employees, village heads, and admins. The application generated from this research has the benefit of making it easier for Kalimas Village employees to manage population data and making it easier for the Lurah to monitor the Kalimas Village population data.
KLASIFIKASI DIABETES PADA WANITA MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER Mohammad Faisal Fahrul; Wiwien Hadikurniawati
JURNAL ILMIAH INFORMATIKA Vol 10 No 01 (2022): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v10i01.4705

Abstract

The report from Riskesdas shows that there is a 2x increase in diabetes every year in Indonesia. This is due to an increase in factors such as human population, age, obesity, irregular eating patterns and lack of physical activity. The increase in a factor that causes diabetes in Indonesia must be prevented. The first step in preventing diabetes is to detect the risk factors for diabetes that may occur. Influencing factors include behavioral factors and sociodemographic factors The increase in diabetes in a country is due to late identified factors. The number of factors that are collected in order to detect whether a person has diabetes or not requires a fairly large data processing system. The data used in this study are diabetes data obtained from the Pima Indian Diabetes Database with attributes of pregnant, glucose, diastolic, triceps, insulin, BMI, history of diabetes, age and 300 data output. The Naive Bayes Classifier method can be used to classify diabetes in women based on pregnant, glucose, diastolic, triceps, insulin, BMI, history of diabetes, age and output. The accuracy result of the Naive Bayes Classifier method in classifying diabetes in women is 84% of 300 data which is divided into 2, namely 275 data as training data and 25 data as test data.
Co-Authors Abriyanto, Oky Achmad Solichan Ade Iriani Adhi Mulya, Ananda Agung Prihandono Agus Prasetyo Utomo Aji Supriyanto Almin, Imam Husni Al Alviani Setya Yuniantika Andiany, Fairuz Eka Andiany, Fairuz Eka Angga Dewandono Anindita Septiarini, Anindita Anindita Septirini Anwar, Muchamad Taufiq Arief Jananto Arthur, Christian Brian Datuesa, Egga Cahyono, Taufik Dwi Danny Manongga Dwi Agus Diartono Eddy Nurraharjo Edy Winarno Eka Andiany, Fairuz Eka Ardhianto Eko Nur Wahyudi Endang Lestariningsih EngMarkiano Solissa, Everhard Eri Zuliarso Erika Dewi Anggraini Fadhilah, Lailatul Farih, Nia Nailil Fatkhul Amin fatkhurrizqi, Maolana Galih Setiadi Gunawan, Doni Triyoga Gusti Ari Prasetyo Hamdani Hamdani Hamdani Hamdani Heribertus Yulianton Herny Februariyanti Heru Yudia Setyo Anggoro Hindriyanto Dwi Purnomo Huda, Azis Fatchul Imam Husni Al Amin Indriani, Vanyariska Irfak Lahumu Darojat Irwan Sembiring Ivannofick Adha Nugraha Khabib Mustofa Kristoko Dwi Hartomo M Arip Islahudin Mohammad Faisal Fahrul Monica Yoshe Titimeidara Muchamad Maskhur Muji Sukur Putra Ramdani, Aditya Rudi Hariyanto Sari, Lenny Estika Sarita Yuniarti Hanum Setyawan Wibisono Setyawan Wibisono Setyawan Wibisono Sidiq Eko Budiharjo Sri Eniyati Suci ananda sari Sulastri Sulastri Sutarto Wijono Taufiq Dwi Cahyono Tegar Prabowo, Satria Veronica Lusiana Wijayanti, Tri Cicik Zakaria, Franky Zuly Budiarso