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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) PROSIDING CSGTEIS 2013 JURNAL ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal Information System Development Jurnal Teknologi Informasi dan Pendidikan Diligentia: Journal of Theology and Christian Education Jurnal Pengabdian Masyarakat Asia
Hendra Tjahyadi
Universitas Pelita Harapan
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Other

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Optimization of medical check-up patient segmentation for personalized healthcare services Ferdiansyah Ferdiansyah; Hendra Tjahyadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i5.pp4356-4365

Abstract

Medical check-up (MCU) services commonly apply uniform examination pathways that do not reflect individual variations in demographic and lifestyle risk factors. This study aims to develop an unsupervised learning model that enables early personalization of MCU recommendations using non-laboratory pre-screening data. A dataset of 11,061 participants was processed following the cross-industry standard process for data mining (CRISP-DM) framework, with median imputation, outlier removal, and min–max scaling applied to enhance data quality. K-means and agglomerative hierarchical clustering (AHC) were evaluated using Silhouette score and Davies–Bouldin index, and cluster characteristics were examined based on age, body mass index (BMI), sex, smoking, alcohol consumption, exercise, and family medical history. K-means with four clusters provided the most stable segmentation (Silhouette 0.366; Davies–Bouldin index 1.21), producing clinically interpretable profiles ranging from high-risk groups marked by smoking and elevated BMI to lower-risk individuals with active lifestyles. These findings demonstrate that simple pre-screening variables can support meaningful early risk stratification and guide personalized MCU pathways. The study also outlines an integration approach for embedding the clustering model into electronic medical record (EMR) systems to enable real-time deployment within clinical workflows.
Peran Shepherd Leadership Guru Kristen Terhadap Pemuridan Generasi Z di SMA XYZ di Tangerang Selatan [The Role of Christian Teachers as Shepherd Leaders in Discipling the Z Generation of XYZ High School in South Tangerang] Ngatmiati Ngatmiati; Hendra Tjahyadi
Diligentia: Journal of Theology and Christian Education Vol. 4 No. 1 (2022): January : Diligentia: Journal of Theology and Christian Education
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/dil.v4i1.4036

Abstract

Generation Z in Indonesia is a demographic bonus that has an essential role in the future. They need to be prepared to face various challenges with strong faith and character. KTB (Growing Together Group) is an effective means to grow one’s spirituality and character. The role of the KTB leader as a shepherd leader is crucial in providing guidance, leadership, and exemplary in good relationships. This study aims to identify the important role of shepherd leadership for Christian teachers in effective discipleship for Generation Z at XYZ Senior High School in South Tangerang and demonstrates the significant impact of shepherd leadership on Christian teachers who make disciples of Generation Z. This study uses a case study model with a qualitative approach. Research subjects were conducted on 8 KTB leaders and 3 KTB members. The instruments used were interviews, FGDs, and document studies. This study indicates that the role of shepherd leadership for Christian teachers has a significant impact on the disciple mentorship of Generation Z to help them have strong faith in Christ, grow in character, and impact others through the talents that God has given.
DESAIN DAN IMPLEMENTASI PATH FOLLOWING DRONE Fernaldy Julius; Alfa Satya Putra; Hendra Tjahyadi
Jurnal Elektro Vol 12 No 1 (2019): April 2019
Publisher : Program Studi Teknik Elektro, Fakultas Biosains, Teknologi, dan Inovasi, Universitas Katolik Indonesia Atma Jaya

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Abstract

Pada makalah ini dilakukan perancangan Drone yang dapat bergerak sendiri sesuai jalur yang sudah ditetapkan pada program komputer. Drone yang digunakan adalah Parrot AR. Drone 2.0. Drone memancarkan wifi dan komputer harus terkoneksi dengan wifi Drone untuk mengirimkan data jalur. Bahasa JavaScript dan library ar-drone digunakan untuk pemrograman Drone. Node.js digunakan untuk mengirim program dengan wifi Drone. Pengujian Drone dilakukan menggunakan jalur berbentuk segitiga dengan tiga skenario pengujian, dimana pada masing-masing skenario dilakukan lima kali pengujian. Pada skenario pertama, Drone bergerak di luar ruangan dan mendarat di titik akhir segitiga. Pada skenario kedua, Drone bergerak di luar ruangan dan mendarat di setiap titik segitiga. Pada skenario ketiga, Drone bergerak di dalam ruangan dan mendarat di titik akhir segitiga. Hasil pengujian menunjukkan Drone sudah dapat bergerak mengikuti jalur yang diberikan. Namun karena tidak adanya feedback pada sistem, Drone tidak dapat mendeteksi dan melakukan perbaikan posisi, sehingga mempengaruhi akurasi gerakan Drone. This paper discusses the design of an autonomous Drone that can follow a designated path from a computer program. The Drone used is Parrot AR. Drone 2.0. The Drone broadcasts wifi signal and the computer must connect to the Drone wifi in order to send the path data. JavaScript programming language and ar-drone library is used to program the Drone. Node.js is used to send the program using the Drone wifi. Drone testing is done by using a triangular path with three testing scenarios, and each scenario will be tested five times. In the first scenario, Drone moves outdoors and lands only on the finish point of the triangular path. In the second scenario, Drone moves outdoors and lands on each point of the triangular path. In the third scenario, Drone moves indoors and lands only on the finish point of the triangular path. Testing shows that Drone is able to follow the provided path. However, the lack of feedback in the system means the Drone is unable to detect and adjust its position, and this affects the accuracy of Drone’s movement.
Co-Authors Andriyani Anton Yunus Timothy Adichandra Arnold Aribowo Dale Watson Efraim Young, Yosua Ferdiansyah Ferdiansyah Fernaldy Julius I Made Murwantara Irene A. Lazarusli Jennifer Novia Nursalim Ngatmiati Ngatmiati Putra, Alfa Satya Torang Simamora Yugopuspito, Pujianto