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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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PERANCANGAN SISTEM INFORMASI IN OUT STOCK BERBASIS WEB DENGAN FRAMEWORK CODEIGNITER PADA TOKO METROCHILON PAPUANA GEMILANG (MPG) WOSI : PERANCANGAN SISTEM INFORMASI IN OUT STOCK BERBASIS WEB DENGAN FRAMEWORK CODEIGNITER PADA TOKO METROCHILON PAPUANA GEMILANG (MPG) WOSI Dhian Pramana Aschary; Christian Dwi Suhendra; Bertha Pangaribuan
JISTECH: Journal of Information Science and Technology Vol 13 No 2 (2024): Volume 13 Nomor 2 Tahun 2024
Publisher : Universitas Papua

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Abstract

With the aim of overcoming management and storage problems that still use manual methods in storing data, products, incoming goods, and outgoing goods along with each existing report. It is felt to be less effective and inefficient, because if there is an addition to product data, incoming goods, outgoing goods along with each data report must be studied in detail as a whole, so as to provide ineffectiveness in data processing and storage. The impact of this problem is the delay in providing reports to business owners. and with the existence of an application system "Designing a Web-Based In Out Stock Information System with Codeigniter Framework at the Metrochilon Papuana Gemilang (MPG) Wosi Store". With the mechanism of the in out stock application system, the company gets stock data of goods that are still available to then be used as a reference for incoming and outgoing goods, the issuance of goods is more systematic. With this mechanism, it is proven to help the company's performance and overcome problems in accordance with current technological developments.
RANCANG BANGUN APLIKASI INVENTARIS TOKO AMI IT & CREATIVE BERBASIS WEB MENGGUNAKAN FRAMEWORK LARAVEL 9: DESIGN AND BUILD A WEB-BASED AMI IT & CREATIVE STORE INVENTORY APPLICATION USING THE LARAVEL 9 FRAMEWORK Abdul Malik Mombay; Christian Dwi Suhendra; Marlinda Sanglise
JISTECH: Journal of Information Science and Technology Vol 13 No 2 (2024): Volume 13 Nomor 2 Tahun 2024
Publisher : Universitas Papua

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Abstract

TOKO AMI IT & CREATIVE is a store located at Sp7 Kampung Sumberboga, Masni District. TOKO AMI IT & CREATIVE itself is a business store that runs an office stationery (ATK) and printing business. At this time, many people have problems managing stock inventory, which is one of the most important things for a business field such as a store. If an item is not properly inventoried, it can cause problems such as inconsistency in the stock of available goods, loss of data on goods owned, long search for item data, a lot of time consuming when managing data, and losses. Therefore, this research aims to assist business processes in TOKO AMI IT & CREATIVE in building web-based applications. The system development methods used are the System Development Life Cycle (SDLC) and Prototype, because this development process has the stages needed in its development.
PENGUJIAN QUALITY OF SERVICE (Qos) LAYANAN VIDEO STREAMING PADA JARINGAN WIRELESS MENGGUNAKAN METODE HTB (HIERARCHICAL TOKEN BUCKET) (STUDI KASUS PADA UPT TIK UNIVERSITAS PAPUA KABUPATEN MANOKWARI): PENGUJIAN QUALITY OF SERVICE (Qos) LAYANAN VIDEO STREAMING PADA JARINGAN WIRELESS MENGGUNAKAN METODE HTB (HIERARCHICAL TOKEN BUCKET) (STUDI KASUS PADA UPT TIK UNIVERSITAS PAPUA KABUPATEN MANOKWARI) novalin kladit; Fridolin F. paiki; Christian Dwi Suhendra
JISTECH: Journal of Information Science and Technology Vol 13 No 2 (2024): Volume 13 Nomor 2 Tahun 2024
Publisher : Universitas Papua

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Abstract

At the same time as the increase in internet users in Indonesia, the number of users has also increased for both video and audio streaming. This increase is based on very rapid technological developments, especially notebooks and tablets that use wireless internet access. The use of streaming video transmission over a wireless network is different from a cable network because the characteristics of wireless networks are limited compared to cable networks, and the characteristics of streaming video transmission require different handling from text data transmission in general. To maintain the stability of internet services for users who access various applications on the internet, the QOS (Quality Of Service) method will be implemented on wireless networks with HTB (Hierarchical Token Bucket) data used, namely video with quality 240p, 360p, 480p, 720p. The QoS parameters analyzed consist of Delay, Jitter, Packet Loss, and Throughput. Test results using the RTP protocol for video streaming have a jitter value of 0 ms because RTP is designed to compensate for jitter and desequencing, if a packet is dropped or lost in the network then RTP will not retransmit to avoid delays due to retransmission requests. To get good video results, packet loss must be between 0% - 3%. If the packet loss is more than 3%, the video results obtained are not satisfactory because the video has a lot of image and sound damage. The author conducted research at UPT Tik Unipa.
Perbandingan Metode K-Means dan K-Medoids dalam Clustering Data Warga Binaan Pemasyarakatan Marta Yunita Pangaribuan; Christian Dwi Suhendra; Lion Ferdinand Marini
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 5 No. 1 (2026): Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v5i1.6243

Abstract

The increasing number of prison inmates poses a serious challenge for correctional institutions in designing targeted and effective rehabilitation programs. This study aims to compare the performance of K-Means and K-Medoids algorithms in clustering inmate data based on demographic characteristics and crime types. The dataset consists of 2,889 inmate records with seven attributes, including age, gender, religion, sentence duration, crime type, detention status, and other relevant correctional information. The preprocessing stages include feature selection, missing value handling, outlier removal, label encoding, and data standardization using StandardScaler to ensure that all variables are suitable for clustering analysis. The optimal number of clusters was determined using the Elbow Method combined with the Silhouette Score, resulting in K = 3 for both algorithms. The evaluation results show that K-Means outperforms K-Medoids across three internal evaluation metrics, indicating better clustering compactness and separation. However, K-Medoids produces a more balanced and interpretable cluster distribution. Therefore, both methods can support correctional institutions in mapping inmate profiles and formulating more appropriate rehabilitation, supervision, and policy strategies for evidence-based decision making in modern correctional management and inmate development.
Development of Augmented Reality Media to Enhance Students' Critical Thinking Skills in High Schools Alberto Yonathan Tangke Yonathan; Rio Octovinary Pramanagara; Christian Dwi Suhendra
Kasuari: Physics Education Journal (KPEJ) Vol. 8 No. 1 (2025): June 2025
Publisher : Universitas Papua, Jurusan Pendidikan Fisika FKIP Unipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/kpej.v8i1.494

Abstract

Based on observations carried out at public high schools and private high schools in Manokwari, it was found that the physics learning used had not adapted to current technological developments, so it was less relevant when used today. The purpose of this research is to develop Augmented Reality (AR) media that is valid, practical, and effective for improving students' critical thinking learning skills on the material of rotational dynamics and equilibrium of rigid bodies in high schools in Manokwari Regency. The development method used is the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) method. The research trial was carried out on students of class XI Science at SMA YPK Oikoumene and the reel research was on students of class XI Science 1 at SMA N 2 Manokwari. This research produces AR media on the topic of rotational dynamics and equilibrium of rigid bodies which can be accessed using a computer/laptop or smartphone connected to the internet, whereas the teaching media uses AR, which can be accessed anywhere and at any time, if the Physics Augmented Reality (Phy-AR) application has been installed on an Android Smartphone so that it can improve students' critical thinking learning outcomes. This research concludes that AR media has been developed to improve the critical thinking skills of high school students and is valid, practical, and effective for use in physics learning.
Application of Support Vector Regression for Rice Production Prediction in Manokwari Regency Sri Fitrawati; Marlinda Sanglise; Christian Dwi Suhendra
J-INTECH ( Journal of Information and Technology) Vol 14 No 03 (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.v14i03.2439

Abstract

Annual fluctuations in rice production present significant challenges for agricultural planning and regional food security, particularly in areas where agricultural productivity is strongly influenced by environmental and production-related factors. Developing an accurate forecasting model is therefore essential to support evidence-based decision-making and improve agricultural resource management. Although Support Vector Regression (SVR) has demonstrated promising performance in agricultural prediction, previous studies have primarily focused on large-scale datasets or relied on default model parameters, limiting their applicability to local agricultural conditions. Therefore, this study aims to develop and evaluate a GridSearchCV-optimized Support Vector Regression model for predicting annual rice production in Manokwari Regency. Secondary data were obtained from the Agricultural Statistics Database maintained by the Indonesian Ministry of Agriculture, rainfall records from Rendani Meteorological Station, and statistical publications issued by the Central Statistics Agency of Manokwari Regency. The proposed framework integrates data preprocessing, systematic hyperparameter optimization using GridSearchCV, and Support Vector Regression modelling. The predictive capability of the model was assessed using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and the coefficient of determination (R²). The results demonstrate that the selected model employed the Radial Basis Function (RBF) kernel with C = 1000, gamma = 0.01, and epsilon = 0.001, achieving an MAE of 460.15, RMSE of 718.86, MAPE of 5.36%, and an R² value of 0.9578. These findings demonstrate satisfactory predictive performance and suggest that the proposed model has the potential to serve as a decision-support tool for agricultural production planning and regional food security management in Manokwari Regency.
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