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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional Teknika Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Pengabdian UntukMu NegeRI INOVTEK Polbeng - Seri Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI TESLA: Jurnal Teknik Elektro Indonesian Review of Physics (IRiP) International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Unri Conference Series: Community Engagement Jurnal PkM (Pengabdian kepada Masyarakat) Journal of Community Engagement Research for Sustainability Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Informatics and Enginering Dedication Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Makara Journal of Technology Publikasi Hasil Pengabdian Kepada Masyarakat. Jurnal Informatika: Jurnal Pengembangan IT BATOBO: Jurnal Pengabdian Kepada Masyarakat PADIMAS: Jurnal Pengabdian Masyarakat CSRID
Noveri Lysbetti M
Universitas Riau
Religion Aerospace Engineering Arts Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : CSRID

 1 
Diagnosa Stunting Pada Balita Menggunakan Metode Naive Bayes Untuk Sistem Pakar Hygiana Prima Desty; Noveri Lysbetti Marpaung
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.107-123

Abstract

Stunting is a chronic nutritional problem that impacts intelligence, productivity, and susceptibility to diseases in toddlers. According to the 2022 Indonesia Nutritional Status Survey (SSGI), the prevalence of stunting in Indonesia reached 21.6%. In line with the Indonesian government's efforts to reduce the prevalence of stunting to 14% by 2024, as per Presidential Regulation No. 72 of 2021, early detection and proper treatment of stunted children are essential. This study implements the Naïve Bayes method to predict the nutritional status of toddlers using parameters such as age, weight, height, head circumference, and upper arm circumference. The expert system is designed to integrate expert knowledge into a computer, assisting healthcare professionals in quickly and accurately diagnosing stunting and enhancing parental education on stunting, particularly at the study site in Puskesmas Pembantu Alam Raya, Pekanbaru City. Data collected directly from the study site comprised 340 records, with 238 training data and 102 testing data. The test results using a confusion matrix table showed a precision value of 50%, recall 50%, error rate 3.9%, and accuracy of 97.05%. The system is built using PHP, the CodeIgniter framework, and MySQL as the database. The implementation of the expert system using the Naïve Bayes method in this study is expected to aid in making accurate policies for the prevention and management of stunting in toddlers.
Rancang Bangun Aplikasi Monitoring Karyawan Dan Perkembangan Proyek Berbasis Android Pada PT. Arhanindo Pratama Yasminne R.A.S Vadri; Noveri Lysbetti Marpaung
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.214-227

Abstract

Employees are human resources who play an important role in determining the performance achievements of a company. Employees with good performance are employees who have several characteristics such as being disciplined, responsible, and able to work together. To find out employee performance, monitoring is necessary, such as monitoring employee attendance in the office. Unfortunately, PT. Arhanindo Pratama does not currently have a system for daily attendance, making it difficult to monitor employee attendance. This can cause employees to deliberately come in late or even not show up. Employee absences lead to a lack of collaboration and discussion, hindering project progress. Monitoring project progress is also difficult due to lack of information about the project from absent employees. Based on these problems, research was carried out by creating an Android-based employee monitoring and project development application. Employees will be able to check in and out, view history, and see a list of ongoing projects. The application will be created using the Kotlin programming language and tested in four aspects consisting of functionality, portability, compatibility and usability. The results of functionality testing are that all functionality was successfully tested with a feasibility percentage of 100%. In portability testing, the results showed that the application can run on various devices and different versions of Android. Compatibility testing shows that the application can run in split-screen mode. Then, usability testing was carried out using UEQ which showed excellent results, namely attractiveness with a value of 2.37, perspicuity with a value of 2.27, efficiency with a value of 2.20, dependability with a value of 2.15, stimulation with a value of 2.22, and novelty with a value of 2.15.
Diagnosa Stunting Pada Balita Menggunakan Metode Naive Bayes Untuk Sistem Pakar Desty, Hygiana Prima; Marpaung, Noveri Lysbetti
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.107-123

Abstract

Stunting is a chronic nutritional problem that impacts intelligence, productivity, and susceptibility to diseases in toddlers. According to the 2022 Indonesia Nutritional Status Survey (SSGI), the prevalence of stunting in Indonesia reached 21.6%. In line with the Indonesian government's efforts to reduce the prevalence of stunting to 14% by 2024, as per Presidential Regulation No. 72 of 2021, early detection and proper treatment of stunted children are essential. This study implements the Naïve Bayes method to predict the nutritional status of toddlers using parameters such as age, weight, height, head circumference, and upper arm circumference. The expert system is designed to integrate expert knowledge into a computer, assisting healthcare professionals in quickly and accurately diagnosing stunting and enhancing parental education on stunting, particularly at the study site in Puskesmas Pembantu Alam Raya, Pekanbaru City. Data collected directly from the study site comprised 340 records, with 238 training data and 102 testing data. The test results using a confusion matrix table showed a precision value of 50%, recall 50%, error rate 3.9%, and accuracy of 97.05%. The system is built using PHP, the CodeIgniter framework, and MySQL as the database. The implementation of the expert system using the Naïve Bayes method in this study is expected to aid in making accurate policies for the prevention and management of stunting in toddlers.
Rancang Bangun Aplikasi Monitoring Karyawan Dan Perkembangan Proyek Berbasis Android Pada PT. Arhanindo Pratama Vadri, Yasminne R.A.S; Marpaung, Noveri Lysbetti
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.214-227

Abstract

Employees are human resources who play an important role in determining the performance achievements of a company. Employees with good performance are employees who have several characteristics such as being disciplined, responsible, and able to work together. To find out employee performance, monitoring is necessary, such as monitoring employee attendance in the office. Unfortunately, PT. Arhanindo Pratama does not currently have a system for daily attendance, making it difficult to monitor employee attendance. This can cause employees to deliberately come in late or even not show up. Employee absences lead to a lack of collaboration and discussion, hindering project progress. Monitoring project progress is also difficult due to lack of information about the project from absent employees. Based on these problems, research was carried out by creating an Android-based employee monitoring and project development application. Employees will be able to check in and out, view history, and see a list of ongoing projects. The application will be created using the Kotlin programming language and tested in four aspects consisting of functionality, portability, compatibility and usability. The results of functionality testing are that all functionality was successfully tested with a feasibility percentage of 100%. In portability testing, the results showed that the application can run on various devices and different versions of Android. Compatibility testing shows that the application can run in split-screen mode. Then, usability testing was carried out using UEQ which showed excellent results, namely attractiveness with a value of 2.37, perspicuity with a value of 2.27, efficiency with a value of 2.20, dependability with a value of 2.15, stimulation with a value of 2.22, and novelty with a value of 2.15.
Co-Authors Abu Yazid Raisal, Abu Yazid Afrianti, Dedeh Kurnia Aielsa Naomi Athaya Akbar Hanafi Siregar Albert Timbul Siregar Ali, Nurhalim Dani Alwi, Rangga Aminuyati Amirul Latief Azzmi Amzah, Ridho Al Andhi, Rahmat Rizal Anhar Anhar Anhar Anisa Lutfia Antonius Rajagukguk Antonius Rajagukguk Antonius Rajagukguk, Antonius Ayunda Widia Kusuma Azwir Rezari Celfin Chandro Nainggolan Siahaan Dani Ali, Nurhalim Daniati, Septania Dedy Nurahmadin Demiza, Khosfikra Desty, Hygiana Prima Dewi Fitri Novita Pasaribu Dian Yayan Sukma, Dian Yayan Dwi Nur Indah Sari, Dwi Nur Indah Edy Ervianto Eka Novvala Dewi Eko Marjan Elfrida Nova Sartika Elirza Halena Elizabeth, Ivena Era Yohana Oktaviani Silalahi Esther Joan Ruthmika Sianturi Fadli Julianto Erga Fahmi, Ziddan Fakhriyah, Salsabila Febrizal Ujang Feranita Feranita Ferdian, Fhinta Syahila Feri Candra Fiki Sanora Firdaus Firdaus Fitria Sari Guspi Candra Hadiwandra, T Yudi Hassan, Rohana Henti Nuraini Napitupulu Hygiana Prima Desty Ibrahim, Sajid Illahi, Hayatul Izzi, Mambaul Jelita Mianarta Rajagukguk Jesslin Halim Kelvin Rainey Salim Mahindra, Syaputra Dwi Mar Qosim Marbun, Andreas Marlina Octa Venita Gultom Marsaulina Marpaung Maulana, Farhan Muhammad Ilham Muhammad, Satyo Mulia Sakti Rambe, Mulia Sakti Nofri Afandi Noviana, Eka Rani Nuraini, Dwi Nur Indah Sari Nurhalim Dani Ali Nurhalim Nurhalim Nurhalim Nurhalim, Nurhalim Nursaldila Nursaldila Nurul Whusto Octavia, Bunga Okpi Pranata Reskha Okta Rivaldi Padang, Junelka Lisendra Pratama, Muhammad Yogi Purnomo, Karin Dwi Putri, Katya Blinda R., Antonius Rahyul Amri Raja Hizkia Hutabalian Ramadhan, Ashry Ramadhan, Riyan Putra Ramadhan, Roza Syahputra Rani Fitri Arya Ningsi Raudah, Aulia Reski Lasari Ridho Al Amzah Rio Juan Hendri Butar Butar Rio Juan Hendri Butar-Butar Rizka Dwi Saputri Rosiki, Muhammad Habib Rosma, Iswadi Hasyim Sakti Hutabarat Sakti Hutabarat Sakti Hutabarat Salhazan Nasution Saputra, Muhammad Hakim Saputri, Rizka Dwi Septiyandi Kurniawan Settian Dwi Cahaya Siagian , Ruben Cornelius Siregar, Vivi Devina Siti Zubaidah Sofinanda Sari Solly Aryza Surya Sahri Ramadhan Suwitno Taruli Devi Sihombing Ummi Sri Rahmadhani Vadri, Yasminne R.A.S Valendino, Muhammad Wakhidah Rohayati Wijaya, Puri Yasminne R.A.S Vadri Yoga Pratama Yohanes, Edwin Yudha Hadi Martha Zahrah Fadhilah