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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Horizon: Indonesian Journal of Multidisciplinary Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat
Tarigan, Siti Jamilah Br
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Optimalisasi Efektivitas Program MBKM: Sistem Monitoring Berbasis Lokasi dan Analisis aktivitas dengan TF-IDF Tarigan, Ita Margaretta Br; Tarigan, Siti Jamilah Br; Ginting, Raheliya Br
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5945

Abstract

The research is based on the importance of a monitoring system for students who study outside the classroom which is very necessary on an ongoing basis, considering that the PT and DPL coordinators must continue to monitor directly or indirectly students who participate in MBKM activities. The problem so far has been the difference between the MBKM plan and the MBKM results, where from the monitoring results, there are several weaknesses in the information and data in the MBKM program, for example, difficulty in knowing the location. This study aims to design a location-based student activity monitoring system to make it easier for PT and DPL coordinators to find out student activities and make assessments based on the history of activities outside the classroom with the MBKM program followed by students. The activity history reported each day will be processed using the Term Frequency-Inverse Document Frequency (TF-IDF) method to find similarities in activities based on the completion time and types of activities carried out by students. The results of the activity history processed with TF-IDF are in the form of reports which will later become supporting information for objective assessment of student learning outcomes. The system design method used in this study is the Web Development Life Cycle (WDLC). The design stages in WDLC start from Planning, Analysis, Design and Development, Testing and Implementation and Maintenance. On the backend side for data management and reporting, a web-based system will be built with the PHP programming language using the YII2 PHP Framework. On the frontend side used by students is a mobile-based application (android) which will be built using the Ionic Framework. Data storage media uses MariaDB. The results of this study are a system that allows for monitoring students who study outside the classroom, especially students who participate in MBKM activities based on the history of activities reported at any time. Given the rapid development of technology and information today, the author suggests that it is necessary to develop the system, especially in terms of user interface, system availability in the form of applications (Android and iOS), and also increasing security, especially in terms of reading the location of student activities. The results of the test with the query Introduction to the environment, a visit to the village head's office to discuss future work programs obtained the results of the similarity level in Salsabilah Yahnun Fadila (21040203) which is 1%, Juliana Br Harianja (21040210) which is 0.7164%, Agung Dermansyah Nainggolan (21040257) which is 0.5978%, Lisman Buulolo (22090041) which is 0.4004% and Irwan Jaya Bawamenewi (21100251) which is 0.3645%. The time needed for this classification is 2.2471 minutes. For testing with the query Participating in community service activities/mutual cooperation, the results of the similarity level in Kristina Tutiniwati Ndruru (21100187) were 0.6111%, Alviusman Harita (21040253) was 0.5593%, Friska Sariaman Manalu (22070012) was 0.4735%. The time required for this classification was 1.2344 minutes.
Sosialisasi Penggunaan Internet Sehat dan Aman di SMP Taman Siswa Padang Tualang Tarigan, Siti Jamilah Br; Danur, Surizar Rahmi; Ginting, Meiliyani Br; Nasution, Ramadani; Gilang, Arlanda; Risky, Muhammad; Prasetio, Wahyu
Jurnal IPMAS Vol. 4 No. 2 (2024): Agustus 2024
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54065/ipmas.4.2.2024.479

Abstract

Internet memang merupakan penyaji informasi yang sangat luas. Kecanggihan teknologi memang tidak melulu bernilai positif tetapi bisa juga berdampak buruk. Oleh karena itu sebagai tenaga pendidik kita harus waspada dan berperan aktif dalam mengawasi aktivitas berinternet di sekitaran kita. Dalam Sosialisasi ini disampaikan Langkah –langkah untuk mendukung supaya tercipta internet sehat dan bagaimana cara menggunakan media sosial secara sehat dan aman. Dalam mengakses internet tentunya akan menambah wawasan setiap orang. Namun harus disadari juga, bahwa penyalahgunaan internet dapat menempatkan seseorang dalam bahaya atau mengancam integritas diri dari masyarakat. Pengabdian Masyarakat ini bertujuan untuk Tujuan sosialisasi ini adalah proses edukasi dengan memberikan pemahaman yang cukup mengenai penggunaan internet secara bijak sehingga dapat memaksimalkan dampak positif internet dan meminimalkan dampak negatif dari berinternet, sehingga tercipta siswa/i cerdas dan produktif dengan harapan siswa/i khususnya di  SMP Taman Siswa Padang Tualang dapat memanfaatkan internet dengan baik. Menjadikan perkembangan teknologi informasi sebagai media untuk meningkatkan pengetahuan masyarakat. Dari proses pemamparan sosialisasi yang dilakukan terjadi peningkatan pemahaman terhadap internet sehat dan aman menjadi 83,5%
Evaluasi Algoritma Random Forest dan KNN dalam Memprediksi Risiko Diabetes Berdasarkan Fitur Klinis Tarigan, Siti Jamilah Br; Alyiza Dwi Ningtyas; Arif Hamied Nababan; Devanta Abraham Tarigan; Dini Rizqi Dwikunti Siregar
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.6400

Abstract

This study aims to demonstrate the performance of the Random Forest and K-Nearest Neighbors (KNN) algorithms in predicting diabetes risk based on numerical clinical data. The study used a dataset of 757 samples with eight clinical features, namely the number of pregnancies, glucose levels, blood pressure, skin thickness, insulin, body mass index (BMI), familial diabetes predisposition function, and age. The data was divided into 80% training data and 20% testing data, with data scale adjustments to support the classification process. The evaluation results showed that Random Forest produced better performance with an accuracy of 73.7% and an F1-Score of 0.623, compared to KNN with an accuracy of 72.4% and an F1-Score of 0.604. Comparison of classification results showed that Random Forest was able to provide more consistent predictions in distinguishing groups at risk of diabetes from healthy groups. The contribution of this study is to provide an empirical evaluation of the description of two classification algorithms commonly used on numerical clinical data and show that Random Forest is more suitable for the development of a decision support system for diabetes risk prediction. This research can be the basis for the development of more accurate prediction models through the use of broader datasets and other machine learning methods.
Co-Authors Alyiza Dwi Ningtyas Arif Hamied Nababan Dini Rizqi Dwikunti Siregar Gilang, Arlanda Hardini, Fitria Ita Margaretta Tarigan Meiliyani Br Ginting, Meiliyani Br Nasution, Ramadani Prasetio, Wahyu Raheliya Br Ginting, Raheliya Br Risky, Muhammad Surizar Rahmi Danur Tarigan, Devanta Abraham Trang, Vu Thi Thu