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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Kasuari: Physics Education Journal (KPEJ) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JPPIPA (Jurnal Penelitian Pendidikan IPA) Jurnal Triton Journal of Applied Computer Science and Technology (JACOST) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Information Technology JISTECH: Journal of Information Science and Technology
Christian Dwi Suhendra
Universitas Papua
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Physics Social Sciences Veterinary

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DEVELOPMENT OF E-MODULES USING AUGMENTED REALITY IN PHYSICS TEACHING AT HIGH SCHOOL OF MANOKWARI REGENCY Alberto Y T Allo; Christian Dwi Suhendra
JPPIPA (Jurnal Penelitian Pendidikan IPA) Vol. 7 No. 2 (2022): Desember 2022
Publisher : Universitas Negeri Surabaya in collaboration with Perkumpulan Pendidik IPA Indonesia (PPII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jppipa.v7n2.p52-59

Abstract

The development of the physics E-Module at this time really needs to be done because of the very rapid development of information technology and coupled with the Covid-19 pandemic situation which requires the availability of the physics E-Module so that it can assist students in learning physics both face-to-face and virtual learning. Based on preliminary observations made in public high schools and private high schools, it was found that the physics module used was a conventional module, namely the printed version of the physics module and the printed year of the module was out of date, so the module is less relevant when used today. The aim of this research is to develop a high school Physics e-module in Manokwari Regency so that it becomes a valid, effective and practical e-module. The method used is the four-D (4D) method. The population of this study were students of class XI IPA 4 at SMA Negeri 1 Manokwari and class XI IPA at SMA YAPIS Manokwari. This research produces an E-Module of Rotational Dynamics and Rigid Body Equilibrium using Augmented Reality (AR) which can be used interactively by students via mobile devices or computers, where in this E-Module there are simple experiments presented in the form of videos, animations using AR, virtual reality that can be accessed anywhere and anytime so that it can improve the physics learning outcomes of class XI IPA students. The purpose of this research is to produce E-Modules using AR in physics lessons that are practical and effective and can improve student learning outcomes.  
Penerapan K-Means Clustering dalam Menentukan Bidang Magang Mahasiswa Jurusan Teknik Informatika Universitas Papua Sri Putri Aulia Syam; Christian Dwi Suhendra; Lion Ferdinand Marini
INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Vol. 25 No. 1 (2023): Volume 25 No. 1 Juni 2023
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v25i1.7585

Abstract

Kampus merdeka merupakan kebijakan Menteri Pendidikan dan Kebudayaan dengan beberapa program yang diterapkan di perguruan tinggi salah satunya adalah magang dan studi independent bersertifikat (MSIB). Program magang memberikan kebebasan kepada mahasiswa untuk memilih bidang magang serta instansi penyedia magang. Namun dalam penerapannya bidang magang yang dipilih belum sesuai dengan kemampuan yang dimiliki mahasiswa. Kajian ini bertujuan untuk menerapkan K-Means Clustering dalam menentukan bidang magang mahasiswa. Studi kasus yang diambil yaitu mahasiswa Jurusan Teknik Informatik Universitas Papua. Kemampuan mahasiswa akan diukur berdasarkan nilai mata kuliah serta menerapkan metode K-Means Clustering untuk mengelompokkan bidang magang mahasiswa. Setelah melakukan pengujian diperoleh nilai DBI terendah yaitu 0.203 dari nilai k=2. Cluster yang terbentuk dalam penelitian ini yaitu cluster_0 dengan 57 data nilai mahasiswa dan cluster_1 dengan 134 data nilai mahasiswa. Dengan metode K-Means Clustering berhasil menentukan bidang magang mahasiswa berdasarkan nilai mata kuliah.
Analisis Integrasi Algoritma YOLOv8 dan CNN terhadap Klasifikasi Kualitas Telur Ayam Ras Petelur di Kabupaten Manokwari Helmi Saputra; Christian Dwi Suhendra; Alex De Kweldju
JURNAL TRITON Vol 17 No 1 (2026): JURNAL TRITON
Publisher : Politeknik Pembangunan Pertanian Manokwari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47687/jt.v17i1.1912

Abstract

Penilaian mutu telur ayam petelur umumnya masih dilakukan secara manual sehingga rentan terhadap subjektivitas dan ketidakkonsistenan hasil, sementara kebutuhan akan proses grading yang cepat dan akurat semakin meningkat. Penelitian ini dilakukan untuk mengembangkan model klasifikasi mutu telur berbasis warna dan bentuk kerabang dengan memanfaatkan algoritma YOLOv8 dan Convolutional Neural Network (CNN). Data dikumpulkan dari peternak lokal di Kabupaten Manokwari menggunakan metode Stratified Random Sampling dan menghasilkan 957 citra telur yang diberi label berdasarkan pedoman SNI 3926:2023. Proses preprocessing meliputi penyesuaian ukuran citra menjadi 640×640 piksel, normalisasi, serta augmentasi variasi pencahayaan dan sudut. YOLOv8 digunakan untuk mendeteksi posisi telur, sementara EfficientNet-B0 sebagai CNN digunakan untuk klasifikasi tiga tingkat mutu telur. Hasil penelitian menunjukkan bahwa YOLOv8 mampu mendeteksi objek dengan performa sangat baik dengan nilai mAP@0.5 sebesar 0.980, precision 0.97, dan recall 0.95, sedangkan model CNN mencapai akurasi validasi 91.9% dengan performa stabil pada seluruh kelas. Integrasi kedua model menghasilkan sistem yang mampu bekerja secara real-time dengan kecepatan 20–35 FPS dan dapat menghitung jumlah telur per grade secara otomatis. Berdasarkan hasil tersebut, dapat disimpulkan bahwa kombinasi YOLOv8 dan CNN mampu memberikan solusi yang cukup akurat untuk proses grading telur ayam petelur serta berpotensi diterapkan pada sistem sortasi pascapanen skala produksi.
Evaluasi Pengaruh Kualitas Website Kampung Kopo terhadap Kepuasan Pengguna Menggunakan Model WebQual 4.0 Anan Ansi Ahoren; Christian Dwi Suhendra; Lorna Yertas Baisa
Journal of Applied Computer Science and Technology Vol. 6 No. 2 (2025): Desember 2025
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/tftzct83

Abstract

This study evaluates the quality of the Kampung Kopo website using the WebQual 4.0 model, which comprises three dimensions: usability, information quality, and interaction quality. A quantitative survey was conducted with 109 purposively selected respondents, and data were analyzed using multiple linear regression. Descriptive results showed that usability (4.03) and information quality (4.03) received high scores, while user satisfaction was moderate (3.41). Regression analysis revealed that all three dimensions significantly influenced satisfaction: interaction quality (β = 0.401; p < 0.001), information quality (β = 0.345; p < 0.001), and usability (β = 0.306; p < 0.001). The model was significant (F = 308.281; p < 0.001) and explained 89.8% of satisfaction variance (R² = 0.898). These findings confirm that while interaction quality has the strongest effect, all three dimensions play essential roles in determining user satisfaction. Village websites should adopt a comprehensive approach to improve usability, information quality, and interaction quality simultaneously to strengthen digital transformation at the village level.
Comparison of K-Means and Hierarchical Clustering Using Silhouette Score on BPBD Data, Papua Barat Najlah Putri Qudsiya; Christian Dwi Suhendra; Josua Josen A. Limbong
J-INTECH ( Journal of Information and Technology) Vol 14 No 02 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i02.2315

Abstract

This study compares K-Means Clustering and Hierarchical Clustering to group disaster-prone areas in Papua Barat Province using official data from UPTD Pusdalops BPBD for the period 2020 to November 11, 2025. The dataset covers seven regencies with three aggregated variables: total floods and tidal floods, other disasters, and earthquakes. The research procedure includes data preprocessing, z-score normalization, determining the optimal number of clusters using the Elbow Method and Silhouette Score, and visualizing results with scatter plots and dendrograms. Both algorithms produced two clusters, with Hierarchical Clustering achieving a higher Silhouette Score of 0.4274 compared to 0.339 for K-Means. The scores indicate moderate clustering quality, reflecting the exploratory nature of the study due to the small dataset. Manokwari Regency formed a distinct cluster due to differing disaster characteristics. The novelty lies in employing official BPBD data and Silhouette Score evaluation to compare the two clustering algorithms, supporting data-driven prioritization for disaster mitigation.
DESAIN DAN EVALUASI UI/UX MENGGUNAKAN METODE HEURISTIC EVALUATION: STUDI KASUS RUMKITAL DR. AZHAR ZAHIR MANOKWARI Anisya Najmi Shafitri; Marlinda Sanglise; Christian Dwi Suhendra
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6663

Abstract

 Rumkital dr. Azhar Zahir Manokwari saat ini belum memiliki platform digital yang memadai untuk menyebarluaskan informasi penting, seperti layanan rumah sakit, jadwal dokter, dan informasi lainnya. Penelitian ini bertujuan untuk merancang dan mengevaluasi user interface (UI) dan user experience (UX) website rumah sakit dengan menerapkan metode evaluasi heuristik. Evaluasi ini bertujuan untuk mengidentifikasi masalah kegunaan (usability) dalam antarmuka situs web, yang selanjutnya akan dianalisis untuk meningkatkan kualitas desainnya. Metode yang digunakan adalah evaluasi heuristik, yang melibatkan lima ahli sebagai evaluator. Penilaian dilakukan berdasarkan sepuluh prinsip heuristik yang meliputi kejelasan informasi, kemudahan navigasi, pencegahan kesalahan, dan fleksibilitas penggunaan dengan menerapkan Severity Rating atau skala sangat baik hingga buruk (0-4). Hasil evaluasi menunjukkan bahwa tingkat keparahan masalah tergolong rendah (severity rating 1). Namun, para ahli memberikan umpan balik yang sangat berharga mengenai beberapa aspek desain, seperti penyesuaian ukuran tampilan, penggunaan warna yang lebih efektif, serta penambahan fitur registrasi pasien. Dengan adanya penelitian ini, diharapkan Rumkital dr. Azhar Zahir Manokwari dapat mengembangkan platform yang lebih informatif dan mudah diakses oleh pengguna. Tujuannya adalah untuk meningkatkan pengalaman pengguna secara keseluruhan dan mempermudah akses informasi mengenai layanan rumah sakit, memungkinkan pasien dan pengunjung situs web untuk mendapatkan manfaat yang lebih besar.
Analisis Perbandingan Algoritma Naïve Bayes dan Support Vector Machine dalam Klasifikasi Opini dan Fakta pada Berita Banjir Sumatera Dessy Natalia Reba; Lilis Indrayani; Christian Dwi Suhendra
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 11 No 1 (2026): JANUARY
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v11i1.7526

Abstract

The rapid growth of online media has accelerated the dissemination of information related to flood disasters, creating the need for an automatic method to classify news into factual and opinion categories. This study aims to compare the performance of the Naïve Bayes and Support Vector Machine (SVM) algorithms in classifying factual and opinion-based news on flood events in Sumatra using Term Frequency–Inverse Document Frequency (TF-IDF) weighting. The research employed several text preprocessing stages, including cleaning, case folding, tokenization, stopword removal, and stemming, followed by TF-IDF weighting, classification, and model evaluation using accuracy, precision, recall, and F1-score. The experimental results showed that the Naïve Bayes algorithm achieved an accuracy of 92.34%, outperforming the Support Vector Machine algorithm, which achieved an accuracy of 91.88%. In addition, Naïve Bayes obtained higher precision, recall, and F1-score values for the opinion class. These findings indicate that Naïve Bayes is more effective than Support Vector Machine in classifying factual and opinion-based news related to flood events in Sumatra.
Rancang Bangun Sistem Informasi Distrik Masni Berbasis Web Menggunakan Framework Codeigniter 3: Web-Based Masni District Information System Design Using Codeigniter 3 Framework Muhammad Zamachsyari; Lion Ferdinand Marini; Christian Dwi Suhendra
JISTECH: Journal of Information Science and Technology Vol 13 No 1 (2024): Volume 13 Nomor 1 Tahun 2024
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research discusses designing a website-based information system using the CodeIgniter Framework. The aim of this research is to optimize district information management, increase open access to information for the community, and speed up the data management process at the district level. The research methodology involves requirements analysis, system design, implementation using CodeIgniter, and system performance evaluation. A needs analysis is carried out to identify the information needed by the community, district government and other related parties. With the results of this analysis, system design was carried out by utilizing the features provided by the CodeIgniter Framework, such as model-view-controller (MVC) to separate application logic and display. CodeIgniter's advantages in database management and ease of web application development are the main focus in developing this system. The user interface is designed to be responsive and easy for users to use. Designing a website-based district information system using the CodeIgniter Framework can make a positive contribution in increasing the efficiency of district information management, providing better accessibility to the community, and supporting transparency and accountability of district governments in data and information management.
Sistem Informasi Perpustakaan Jurusan Fisika Universitas Papua Berbasis Web Menggunakan framework Codeigniter 3 : Web-Based Library Information System Of The Department Of Physics, University Of Papua Using The Codeigniter 3 Framework ronal allo; Lion Ferdinand Marini; Christian Dwi Suhendra
JISTECH: Journal of Information Science and Technology Vol 13 No 1 (2024): Volume 13 Nomor 1 Tahun 2024
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The library is part of a learning resource for students at the Department of Physics, University of Papua. Because it makes it easier for students to find information or knowledge through the library. With the development of technology, humans think about being able to work more effectively and efficiently, one of which is to make computerized systems and systems. This study aims to create a Library Information system at the Department of Physics, University of Papua in terms of book search, book data collection, member data collection, borrowers and book returns. The method used in designing library information systems is the RAD model, as well as using PHP programming language (PHP Hypertext Preprocessor), MySQL database server and using CodeIgniter Framework. The result of this research is a web-based library information system application that has transaction features, making it easier to collect data on borrowing and returning books, and will improve performance and make it easier to manage book data
Aplikasi Sistem Informasi Bursa Kerja Khusus (BKK) Bagi Alumni Universitas Papua Dengan Metode Rapid Application Development (RAD) Menggunakan Framework Codeigniter: Application Of The Special Job Exchange Information System (BKK) For University Of Papua Alumni With Rapid Application Development (RAD) Method Using The Codeigniter Framework Herlina Barrang; Christian Dwi Suhendra; Lorna Yertas Baisa
JISTECH: Journal of Information Science and Technology Vol 13 No 1 (2024): Volume 13 Nomor 1 Tahun 2024
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research was conducted to create an Information System that can make it easier for alumni to find jobs according to their competence. The goal is that alumni can access job vacancy information that matches their interests and expertise through the platform provided by this application. Job search can be adjusted according to certain criteria, and the system provides automatic notifications for suitable vacancies. In addition, Special Job Exchange (BKK) managers can track alumni activities, add job vacancies, and track alumni placements using this application. The speed, scalability, and performance that the CodeIgniter framework offers are advantages. Using the Rapid Application Development (RAD) development method, the system can be developed with client orientation. The test results show that this application can help alumni find jobs. This will benefit both parties.
Co-Authors Abdul Malik Mombay Alberto Y T Allo Alberto Yonathan Tangke Yonathan Alex De Kweldju Anan Ansi Ahoren Anisya Najmi Shafitri Bertha Pangaribuan Dessy Natalia Reba Dhian Pramana Aschary Fridolin F. paiki Helmi Saputra Herlina Barrang Josua Josen A. Limbong Lilis Indrayani Lion Ferdinand Marini Lorna Yertas Baisa Marlinda Sanglise Marta Yunita Pangaribuan Muhammad Zamachsyari Najlah Putri Qudsiya novalin kladit Rio Octovinary Pramanagara ronal allo Sri Fitrawati Sri Putri Aulia Syam