Article Per Year (5 Year)
p-Index From 2021 - 2026
2.083
P-Index
This Author published in this journals
All Journal Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) CogITo Smart Journal Jurnal Ilmiah Matrik IICS Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Servitium Smart Journal
Green Ferry Mandias, Green Ferry
Unknown Affiliation
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Nursing Physics Public Health

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
Pelatihan Penggunaan Content Management System dengan Wordpress untuk Website Umum dan Bisnis pada Siswa SMK Negeri 1 Sorong Joe Yuan Mambu; Green Sandag; Erienika Lompoliu; Green Mandias; Marchel Tombeng
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 2 No. 3 (2022): Desember : Jurnal Pengabdian Kepada Masyarakat Indonesia (JPKMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpkmi.v2i3.676

Abstract

Website is one of the main components of the Internet, therefore those who are able to create website may able to influence, share, sell, advertise their or their company/organization content or products. Especially during the Covid-19 era everything information or business has become available online. This community service aimed to teach and bring awareness of CMS, a non coding method and system that can help user to create website quite fast. One of the advantages of WordPress is that it can be used for various websites and applications. For example, you can use WordPress to create a simple website, to a business website. For business websites, one of the plugin modules provided by WordPress is Woocommerce. With Woocommerce users can make WordPress display into an online store or online store quite easily. According to the questionnaire the training gave user a new perspective that creating and publishing website is isn’t that complicated after all when using Wordpress.
U-MATE : Student And Lecturer Location-Based Social Network Aplication Tombeng, Marchel Thimoty; Mandias, Green F.; Putra, Edson Yahuda
CogITo Smart Journal Vol. 10 No. 2 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i2.714.352-365

Abstract

Students are individuals who pursue higher educcation, have an important role as agents of change and future leaders in various sectors. They are required to actively learn, participate in academic and social activities, and develop critical and innovative thinking. Interactions between students, both with peers and lecturers, play a crucial role in shaping the learning experience on campus. Student interactions with lecturers also have an impact on learning motivation and the lecture experience. The importance of these interactions prompted the researcher to design an application specifically for the campus environment. The app features chat, add friend, and find mate to expand students' social interactions. The find mate feature allows students to find friends randomly, while the maps feature makes it easier for them to find the location of their lecturers and friends in real-time. By integrating the concept of Location-Based Social Network (LBSN), this application is expected to reduce the level of academic stress and improve the quality of interaction among students and with lecturers. Through this application, students can more easily find friends and lecturers, and share locations in real-time. The questionnaire results from Klabat University students showed the need for this kind of application
Analisis Komparatif Algoritma Klasifikasi untuk Prediksi Diabetes Menggunakan Pembelajaran Mesin Mandias, Green Ferry; Ivanna Junamel Manoppo
Jurnal Ilmiah Matrik Vol. 27 No. 1 (2025): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/zwrvpg71

Abstract

Diabetes is a chronic disease with an increasing global prevalence, posing a serious threat to public health. This study aims to compare the performance of three classification algorithms—Logistic Regression, Decision Tree, and Support Vector Machine (SVM)—in predicting diabetes risk using secondary data from Kaggle. A quantitative approach was used, with model performance evaluated based on accuracy. Results show that SVM achieved the highest accuracy at 74.46%, followed by Logistic Regression at 73.59%, and Decision Tree at 70.56%. SVM excels in handling high-dimensional data and variability, while Logistic Regression is easier to interpret. Although Decision Tree is intuitive and easy to visualize, it is more prone to overfitting. These findings suggest that SVM is the most suitable algorithm for data-driven diabetes prediction, supporting the development of early detection systems that are fast, efficient, and cost-effective.
Pemahaman Cara Kerja Otomasi Kantor Berbasis IT Didukung Jaringan Komputer Terpadu Moedjahedy, Jimmy H.; Mandias, Green Ferry; Waworundeng, Jacquline M. S.; Sahulata, Reynoldus Andrias
Servitium Smart Journal Vol 1 No 2 (2023): Servitium Smart Journal
Publisher : Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/servitium.v1i2.12

Abstract

Keberadaan pendidikan vokasi bernilai strategis terutama dalam menghadapi era globalisasi sebagai pendidikan yang mempersiapkan tenaga terampil dan terdidik untuk menjawab kebutuhan pasar yang sangat kompetitif. Sektor industri yang bertumpu pada otomasi menjadikan perkantoran harus dilengkapi dengan berbagai instrumen yang beroperasi secara otomatis. Untuk menghasilkan kinerja yang optimal, diperlukan peralatan otomatis dengan jaringan kerja yang terintegrasi. Menanggapi kebutuhan tersebut maka para peserta didik SMK Negeri 1 Modoinding yang merupakan sekolah vokasi, diperlengkapi dengan pengetahuan melalui pelatihan untuk memahami bagaimana cara kerja dan pengelolaan perkantoran dengan prasarana dan sarana yang memungkinkan diberlakukannya otomasi melalui daya dukung kerja yang terintegrasi dengan menggunakan jaringan komputer. Melalui metode pelatihan dan pendampingan di saat pelaksanaan kegiatan dan pemberian materi, maka terlihat hasil dari pembekalan serta pelatihan menunjukkan adanya pemahaman yang sangat baik setelah dilakukan pelatihan. Evaluasi di awal pelatihan menunjukkan 74% peserta pelatihan belum pernah menggunakan media simulasi dalam pembelajaran otomasi dan jaringan komputer. Setelah sesi pelatihan selesai, dilakukan evaluasi dan hasil data akhir menunjukkan angka 100% sebagai indikasi tingginya tingkat pemahaman peserta dan kesediaan menggunakan tools yang diajarkan pada proses pembelajaran. Kegiatan pengabdian kepada masyarakat yang dilakukan telah membawa dampak positif serta manfaat yang membekali peserta pelatihan dengan pengetahuan dan keterampilan dalam hal otomasi perkantoran berbasis IT didukung oleh jaringan komputer yang dapat diaplikasikan secara praktis di sekolah maupun di dunia kerja.
Penerapan Model Machine Learning untuk Memprediksi Serangan Jantung Dini Mandias, Green Ferry; Manoppo, Ivanna Junamel
Jurnal Ilmiah Matrik Vol. 27 No. 2 (2025): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/2cg02a51

Abstract

Heart disease is one of the leading causes of death worldwide, and early detection is crucial in reducing mortality rates. In Indonesia, heart disease is a primary cause of death, exacerbated by limited access to healthcare, especially in rural areas. Traditional diagnostic methods, such as physical examinations and EKG, often lack accuracy in predicting heart attacks. This research aims to develop an early prediction model for heart attacks using machine learning, specifically Random Forest and Support Vector Machine (SVM). These models were trained using a dataset containing various medical variables, including age, gender, blood pressure, cholesterol levels, and ECG results. The study finds that the Random Forest model outperforms SVM, with an accuracy of 90% and a recall of 93% for heart disease detection, making it more reliable for early detection of at-risk patients. The results suggest that machine learning can significantly enhance early heart attack detection, offering a potential solution to reduce heart disease-related mortality.
Pengenalan Teknologi Informasi Untuk Siswa Kelas 1 - 3 di SD Madison School Mobuya Mandias, Green Ferry; Moedjahedy, Jimmy Herawan; Adam, Stenly Ibrahim; Putra, Edson Yahuda; Tombeng, Marchel Timothy
Servitium Smart Journal Vol 4 No 1 (2025): Servitium Smart Journal
Publisher : Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/servitium.v4i1.42

Abstract

This community service activity aims to introduce information technology to students in grades 1 to 3 at SD Madison School Mobuya. Through an interactive workshop approach, students were introduced to information technology tools and basic computer components. A total of 28 students participated in this activity, starting with a pretest to assess their initial understanding of technology. The pretest results showed that 80% of students were not familiar with technological tools and 90% were not familiar with the parts of a computer. After participating in the educational sessions, the posttest results revealed that all students had gained a solid understanding of information technology tools and basic computer components. This activity proves that early introduction to information technology can improve students' understanding of technology and equip them with basic skills needed to face the challenges of the digital world. It is hoped that this activity can be replicated in other schools to broaden the positive impact on the development of technology literacy among students.
Co-Authors Christiady Somba Sirappa Devid Runtuwene Edson Yahuda Putra Erienika Meiling Lompoliu Feldryansa Somba Green Arther Sandag Haryanto Reza Musak Ivanna Junamel Manoppo Jacquline Waworundeng Jimmy H Moedjahedy Joe Yuan Mambu Marchel Thimoty Tombeng Marchelino Joseph Bojoh Maria Andriani Sambur Moedjahedy, Jimmy H. Oktoverano Lengkong Pierre Jericho Effendy Reynoldus Andrias Sahulata Stenly Ibrahim Adam Susi Susanti Timothy Matthew Jeremi Dirk Tombeng, Marchel Timothy Yohanes Septiawan