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All Journal Jurnal Media Infotama METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Abdi Ilmu Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer MEANS (Media Informasi Analisa dan Sistem) Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal Of Information And Technology Unimor (JITU) Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Jurnal Widya Bulletin of Multi-Disciplinary Science and Applied Technology Journal of Computer Science and Informatics Engineering Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Pengabdian Pada Masyarakat METHABDI International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Nusantara Journal of Multidisciplinary Science Jurnal Penelitian Teknologi Informasi dan Sains Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi Pascal: Journal of Computer Science and Informatics
Yani Maulita
STMIK Kaputama
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Design of an Automatic Trash Can Wheel Robot with Bluetooth Navigation Control Through Smartphone Application Irfan Yusuf; Yani Maulita; Saragih, Rusmin
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.631

Abstract

Environmental cleanliness is an important aspect that must be maintained, especially in this modern era. The use of appropriate technology can help increase awareness of cleanliness, one of which is by developing automatic trash cans. This research designs and builds a mobile robot in the form of an automatic trash can that can be controlled via an Arduino Uno microcontroller using Bluetooth and controlled via a smartphone application. This research designs a mobile robot in the form of an automatic trash can that can be controlled via an Arduino Uno microcontroller with Bluetooth and a smartphone application. The system receives navigation commands from the app and uses ultrasonic sensors to detect objects in front of the trash can. The microcontroller processes the command and sensor data to drive the DC motor and servo motor. The servo motor opens and closes the trash can lid automatically when an object is detected at a certain distance. The test results show that this robot can move according to instructions from a smartphone and successfully open and close the trash can lid automatically when detecting objects.
Clustering Students Level of Understanding of Programming Language Courses Using the K-Means Algorithm Ramadana, Noval; Yani Maulita; Sembiring, Hermansyah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.650

Abstract

This study aims to categorize students based on their level of understanding of programming language courses using the K-Means algorithm. Students often experience difficulties in understanding the basic concepts of programming languages, which can affect their ability to solve programming problems. Using data obtained from questionnaires filled out by STMIK Kaputama Binjai students, this study analyzed variables such as attendance rate, learning interest, and level of understanding. The analysis results show the existence of patterns and relationships between these variables, which can be used to identify groups of students who have a good, poor, or no understanding of the course. This research is expected to provide input for educational institutions in designing learning strategies that are more effective and attractive to students.
Data Mining Predicts the Number of Scout Enthusiasts in Binjai City Using the Linear Regression Method Rahmat Ramadhan; Yani Maulita; Sihombing, Anton
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.651

Abstract

This study aims to predict the number of scout enthusiasts in Binjai City using a linear regression method. The data used includes the number of active scout members from the Alert, Fundraiser, and Enforcer levels during the 2018-2024 school year. The linear regression method was chosen because of its ability to predict future trends based on historical data. This research implements a linear regression algorithm through the Python programming language for the development of prediction systems. The problem in this study is that scout education in Binjai City has many impacts that can affect the number of scout enthusiasts in an educational institution. Some of the factors that can affect the quality of the teacher can be a determining factor in the interest in participating in scouting. With the existence of qualified scout teaching staff and creativity, students will be more in demand to participate in scouting.and the achievement of providing facilities provided from the School Level to the Branch Committee can also be a factor in attracting interest in participating in scouting and the support of school principals and the surrounding government can also be a determining factor in the development of scouting in the region so that activities from the school level to the international level are carried out which will be more in demand by scouting students. This finding is expected to help the Branch of the Binjai City Scout Movement in preparing and optimizing the number of scouting students in the future. This value means that the relationship between the free variable / predictor X and the bound variable / response Y is a low increase, the percentage is 93%. With the overall interest of 3191 scout members active scout members in the coming year with the number of Standby (1756 people), Fundraisers (662 people), Enforcers (773 people) So, the interest of scouts in the city of Binjai is influenced by the number of active Scout members this year.
Decision Support System for Extracurricular Determination to Increase Student Involvement in Activities Outside the Classroom Using the AHP Method Rizky Ramadhan; Yani Maulita; Br Sitepu, Kristina Annatasia
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.664

Abstract

SMK Dharma Pancasila Medan is a private school located at Jl. Dr. T. Mansyur No.71 C Medan, Kel. PB Selayang. Currently, the selection of extracurricular activities at the school relies on a conventional manual system, lacking a formal system to identify the best extracurricular activities among the available options. This study aims to develop a Decision Support System (DSS) using the Analytical Hierarchy Process (AHP) method to evaluate and prioritize extracurricular activities based on four main criteria: achievement, short-distance running, height, and discipline. The system is designed to provide objective and measurable recommendations, facilitating students in choosing the most suitable extracurricular activities to enhance their success in out-of-class activities. The research findings demonstrate that the DSS developed with the AHP method is effective in providing accurate recommendations and increasing student engagement in extracurricular activities. The analysis and assessment process using AHP results in more targeted decisions aligned with the goal of enhancing student involvement. Overall, the system not only aids students in optimal extracurricular selection but also contributes to the development of better extracurricular activity strategies at SMK Dharma Pancasila Medan. This research enriches educational theory and practice by offering practical solutions to the challenges in extracurricular selection and enhances the overall educational experience for students.
Application of Dempster Shafer to Diagnose Cholecystitis Based on Web Selviyani, Selviyani; Budi Serasi Ginting; Yani Maulita
International Journal of Health Engineering and Technology Vol. 3 No. 3 (2024): IJHET SEPTEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (891.294 KB) | DOI: 10.55227/ijhet.v1i2.37

Abstract

Cholecystitis is an inflammation of the gallbladder. The gallbladder is an organ where bile is stored, which is a fluid that plays an important role in the digestion of fat in the body. Data processing at Bangkatan Hospitals is currently still done by means of patients coming to the hospital and heading to the receptionist to carry out the process before meeting an expert (doctor), it makes patients have to queue and wait their turn to meet the doctor. The current lack of knowledge and information from the community/patients causes delays in handling the early symptoms of cholecystitis. This makes this research carried out by building an expert system that is able to diagnose cholecystitis. With the dempster shafer method, it is expected to be able to provide a high level of accuracy. From the calculation process using the Dempster Shafer method, it can be concluded that the disease suffered by the user is Acute Cholecystitis with a density value of 0.571 or 57.1%.
APPLICATION OF FUZZY SUGENO METHOD FOR NUTRITION MANAGEMENT IN PATIENTS WITH DIABETES MELLITUS BASED ON WEBSITE Alfinaty, Nurma; Maulita, Yani; Saripurna, Darjat
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.170

Abstract

People's lifestyles have changed, this change is more or less influenced by the increase in people's welfare levels, which in fact has changed the type of food intake favored by the community (Sahi, 2020). Some people, especially urban people who are busy working, rarely cook themselves to meet the family's daily food needs, instead they rely on their food menu from buying ready-to-eat food from stalls or restaurants in large numbers. From habits like this people tend to choose janis food that offers the power of taste derived from fatty foods, chemical cooking spices from the factory, how to cook fried or grilled and provided a variety of flavors of chili sauce also with chemical spices factory with a variety of flavors. Diabetes Mellitus is a non-communicable disease caused by the pancreas does not produce enough insulin or the body can not process insulin that has been produced effectively. To reduce the risk of complications, blood sugar levels in patients with some of the families in the community even rarely consume vegetables, so many of their children no longer want to eat vegetables because they are not accustomed to eating vegetables in their families, which is actually a very beneficial vegetable for the body. From that background and to help patients with diabetes mellitus, the author wants to design a system or application that can control the food to be eaten, namely by choosing foods that are suitable for patients with the disease. The selection of these foods, will be assessed in accordance with the nutrients contained in the food to be consumed.
THE USE OF BAYES METHOD TO DIAGNOSE GESTATIONAL DIABETES IN PREGNANT WOMEN (CASE STUDY: DR. EDWARD JOB,. SP.OG) Maulidina, Nadia; Simanjuntak, Magdalena; Maulita, Yani
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.175

Abstract

 Gestational Diabetes is the cause of diabetes that occurs during pregnancy, generally, this pregnancy occurs in the second trimester, between Weeks 24 to 28. Gestational Diabetes is one of the causes of death of pregnant women due to lack of information or knowledge about the factors that cause gestational diabetes that occurs in mothers during pregnancy, causing health risks, and affect the decision of time, cost and others in carrying out direct medical consultations. Therefore, it is highly recommended that an expert system for treating gestational diabetes in pregnant women be able to find out early about what is happening and be able to overcome the causes and reduce mortality. With the existence of this system is expected to be an alternative for patients who experience complications of time, cost and others in consulting directly about the treatment of gestational diabetes in pregnant women, before coming directly to meet with a doctor/expert. From the process using the Bayes method above, it is explained that the diagnosis of gestational diabetes in pregnant women is diagnosed with gestational diabetes Diabetes Mellitus (P01) with a percentage of 90.73%.
EXPERT SYSTEM OF PREECLAMPSIA DIAGNOSIS USING CERTAINTY FACTOR METHOD Tarigan, Kiki Dea Ananda; Simanjuntak, Magdalena; Maulita, Yani
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.176

Abstract

Preeclampsia is an increase in blood pressure and excess protein in the urine that occurs after more than 20 weeks of pregnancy. If not treated immediately, preeclampsia can cause complications that are dangerous for the mother and fetus. One factor that can increase the risk of preeclampsia is the age of pregnant women who are under 20 years or more than 40 years. This condition needs to be treated immediately to prevent complications or develop into preeclampsia that can threaten the lives of pregnant women and fetuses. The causes of preeclampsia are still not exactly known. However, this condition is thought to occur due to abnormalities in the development and function of the placenta, which is an organ that functions to deliver blood and nutrients to the fetus. The use of internet technology makes it easier for humans to access information without limited space and time and facilitates the design of expert systems to diagnose preeclampsia in mothers, and is expected to reduce or even eliminate existing problems, Therefore, an application is needed that can help to diagnose preeclampsia by using the certainty factor method which is easier and becomes an alternative in providing more knowledge about the results of preeclampsia diagnosis in pregnant women and can provide advice and consultation media about preeclampsia disease in patients and can reduce the cost of consulting an expert. Based on the calculation of CF, the highest value is the type of preeclampsia with a value of 0.9939 or 99.39%. From the results obtained, the system identifies that the patient has a type of preeclampsia.
Decision Support System Determines the Feasibility of Granting a General Practitioner License Using the Analytic Network Process Method (ANP) Silvia, Sindy; Maulita, Yani; Syahputra , Siswan
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.177

Abstract

There are differences in general practitioner practice licensing services because they have special attention that is directly related to the health and public health sectors. The Langkat Regency Investment and One-Stop Integrated Licensing Services Service (DPMPPTSP) has also experienced the development of the system, but it still has a weakness, namely if the applicant who wants to make a permit must come to the office to validate the permit that the customer wants to make without knowing whether whether the files brought by the customer will be valid or not. So we need a decision support system that can help decision makers to use data and solve existing problems. The Analytic Network Process (ANP) method is a method that is able to represent the level of interest of various parties by considering the interrelationships between existing criteria and sub-criteria. From the results of the trials carried out, it was found that the highest score was 2.4625, namely Dr. Frimaneti Z, Old Village Health Center Upt, and Dr. Setiadi Abdillah Pratama, UPT Puskesmas Tanjung Selamat.  
Penerapan Logika Fuzzy Logic pada Enemy AI Game Horor 3D The Gate Of Nightmare Menggunakan Aplikasi Unity3d: Array Hafizh, Faisal; Maulita, Yani; Khair, Husnul
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 2 No. 2 (2020): Edisi Oktober
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v2i2.255

Abstract

Artificial Intelligence is a part of computer science that is made so that machines (computers) can do work as well as what humans do. The Unity 3D application is a game engine which is a software for processing images, graphics, sound, input, etc. which is intended to create a game, although not always for games. Nowadays, games have developed a lot according to traditions and times. Therefore, there are a lot of unattractive game designs because the AI is not responsive and feels stiff, and requires the Fuzzy Logic Method. Fuzzy Logic is a problemsolving control system methodology that is suitable for implementation in systems, ranging from simple systems, small systems, embedded systems, PC networks, multi-channel or workstation based data acquisition, and control systems.
Co-Authors , Achmad Fauzi ., Novriyenni Achmad Fauzi Acmad Fauzi Agi Kakana Bangun Ahmad Fauzi Ahmad Kurniawan Prahadi Alanis Humairoh Alfinaty, Nurma Ambarita, Indah Andika, Rio Andri Kristiawan Annatasia, Kristina Arisma Yulistiani Arisya, Feby Arliana, Lina Aula, Nurhasanah Aulia, Damai Aulia Br Karo Ayu Rahayu Febria Ayu Rahayu Febria Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Citra Ayu Wasih Dea Syafitri Dhea Armaya Dicky Ananda Azhari Dieo Alfiky Ananda Dila Aulia Putri Dimas Prayogi Dina Ervianna Simarmata Dita Sahputri Elfira Iriani Esti Sundari Eva Sasmita Fadilah, Nurul Elsa Farid Reza Malau Farid Reza Malau Farida Hanum Fauzi Ahmad Muda Fauzi, Achmad Fisyanda Yusmalizar Fresti Anjeli Gea, Wisda Wati Gultom, Imeldawaty Hafizh, Faisal Hermansyah Sembiring I Gusti Prahmana Ika Indah Rahayu Intan Sari Irfan Yusuf Jecika Azzahra Kadim, Lina Arliana Nur Katen Lumbanbatu Katen Lumbanbatu Khair, Husnul Khairunisa, Salsabila Kristina Annatasia Br Sitepu Kristina Annatasia Br Sitepu Kusmananda Lubis Lala Arika Leni Tri Ramadhayanti Lina Arliana Liyanti Armaya Sari Lubis, Setia Adiyasa Lumbanbatu, Katen Magdalena Simanjuntak Magdalena Simanjuntak magdalena simanjuntak Malau, Farid Reza Manik, Laurensia Agustin Mariza Marto Sihombing Maskanda Rizky Maulidina, Nadia Melda Pita Uli Sitompul Mhd Arif Permata Mirah, Alta Muammar Khadafi Muhammad Prabowo Hartanta Sitepu Muhammad Rivaldi Prastowo Muhammad Yusri Nadilla Ayudia Pasa Naftali, Juliana Ningsih, Fauziah Nisrina Naufalia Santoso Novriyenni Novriyenni - Novriyenni, Novriyenni Nurhayati Nursakinah Pakpahan , Victor Maruli Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Piper Warni Gea Prahmana, I Gusti Pramana, I Gusti Puteri Diyana Putri Ladya Elvanny Putri Lestari Rafli Pramudia Rahayu, Rizka Putri Rahmat Ramadhan Ramadana, Noval Ramadani, Suci Ratih Puspadini Rayuni, Rayuni Retni Noviyanti Siregar Rindi Asti Ananda Rizki Irwansyah Rizky Ramadhan Rusmin Saragih, Rusmin Sari, Elisa Puspita Saripurna, Darjat Selfira, Selfira Selviyani, Selviyani Sembiring, Hermansyah Sembiring, Jhody Alkhalis Sembiring, Wildan Yuanda Malik Setia Ningsih Shella Nadya Shely Eninta BR PA Sihombing, Anton Sihombing, Marto Silvia, Sindy Simanjuntak, Magdalena Sinurat, Sylvia Natalia Siregar, Retni Noviyanti Siswan Syahputra Suci Rahmadani Suci Ramadani Sujayanti Br.Giniting, Novia Suma Dia Syahwani Sundari, Yeni Sundari, Yeni Suria Alamsyah Suria Alamsyah Putra Surya Alamsyah Putra Syahputra , Siswan Syahputra, Siswan Syahputra, Suria Alam Syahputri, Heni Syari, Mili Alfhi Syari, Milli Alfhi Tarigan, Kiki Dea Ananda Tiwi, Chairmayni Pratiwi Tria Damayanti Wardhani, Diah Wardhani, Diah Wardhani wildan yuanda malik sembiring Wildan Yuanda Malik Sembiring Winda Sari Yuyun Arnia Zehy Fadia Zema Zema Zema Zema Zhya Anggraini