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All Journal Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Indonesian Journal of Artificial Intelligence and Data Mining JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Journal of Information Technology JISTECH: Journal of Information Science and Technology
Julius Panda Putra Naibaho
Universitas Papua
Computer Science & IT Education Electrical & Electronics Engineering Engineering

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Analysis of Factors Influencing the Adoption of the PELNI Mobile Application for Ship Ticket Purchases in Sorong using the Unified Theory of Acceptance and Use of Technology 2 Regina Natalia Sianturi; Julius Panda Putra Naibaho; Alex De Kweldju
SISTEMASI Vol 15, No 5 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i5.5866

Abstract

This study aims to analyze the factors influencing the adoption of the PELNI Mobile application for ship ticket purchases using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) approach. The research employed a quantitative method with data collected through questionnaires distributed to users of the PELNI mobile application. The collected data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results indicate that Facilitating Conditions and Habit significantly influence the actual usage behavior of the PELNI mobile application. In contrast, Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, and Price Value do not have a significant effect on usage intention. Furthermore, Behavioral Intention was also found to have no significant influence on actual usage behavior. These findings suggest that the adoption of the PELNI mobile application in the context of maritime transportation is more strongly influenced by the availability of supporting facilities and users’ habitual behavior than by perceived usefulness, ease of use, or social influence. This study is expected to contribute theoretically to the development of the UTAUT2 model and provide practical implications for the management of digital-based maritime transportation services.
ANALISIS KUALITAS WEBSITE BPOM MANOKWARI MENGGUNAKAN METODE WEBQUAL 4.0 Ari_Fadli La Tardi; Julius Panda Putra Naibaho; Andreas Sumendap
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6699

Abstract

This study is motivated by the importance of website quality in supporting digital-based public services within government institutions. The BPOM Manokwari website functions as a platform for delivering public information and services; however, its effectiveness needs to be evaluated based on user experience. The purpose of this study is to evaluate the performance of the BPOM Manokwari website by applying the WebQual 4.0 framework, which assesses website quality through three main dimensions: usability, information quality, and service interaction quality. This study employs a quantitative approach by distributing questionnaires to 112 active users of the BPOM Manokwari website. The collected data were analyzed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method through the SmartPLS 4 software. This study tests hypotheses regarding the effects of usability, information quality, and service interaction quality on user satisfaction with the BPOM Manokwari website. The results indicate that only the service interaction quality dimension has a significant effect on user satisfaction, while usability and information quality do not show a significant impact. Therefore, it can be concluded that improving the quality of interactive services plays a crucial role in enhancing user satisfaction with the BPOM Manokwari website. The recommended improvements focus on navigation, content updates, and the strengthening of digital communication features. The practical implications of this study suggest that website administrators should prioritize enhancing digital communication features and service responsiveness, supported by continuous improvements in navigation and regular content updates.
Classification of Wild Edible Plants Using InceptionV3 with Transfer Learning and Metadata Integration as a Decision Support System Ridho Nur Fauzi; Julius Panda Putra Naibaho; Alex De Kweldju
Indonesian Journal of Artificial Intelligence and Data Mining Vol. 9 No. 1 (2026): March 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

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Abstract

Deep learning has advanced intelligent systems for plant identification; however, distinguishing edible wild plants remains challenging due to limited datasets and the need for contextual information beyond visual classification. This study develops a Convolutional Neural Network (CNN) framework that integrates metadata as a decision support system to enhance food safety and strengthen community-based food security. A dataset of 16,076 images across 34 classes of edible wild plants was collected and enriched with metadata containing plant descriptions, consumption status, and nutritional values. The dataset was split into 75% training, 20% validation, and 5% testing to ensure reliable evaluation. The proposed solution employs InceptionV3 with transfer learning as the primary model, chosen for its ability to capture complex visual features in limited datasets, while MobileNetV3-Large serves as a lightweight comparative architecture. Results show that InceptionV3 achieved superior performance with a test accuracy of 0.87 and F1-score of 0.88, whereas MobileNetV3-Large obtained only 0.03 accuracy, indicating poor generalization. This highlights the importance of selecting architectures with sufficient depth for domains characterized by high visual variability. Metadata integration enhanced the system’s role as a decision support tool, providing contextual information such as edibility status and nutritional content. The novelty of this research lies in combining CNN-based classification with metadata integration, transforming the system into a practical framework for safe consumption decisions. Limitations include the dataset containing only edible plants. Future work should incorporate non-edible classes, evaluate performance under real-world conditions, and explore advanced architectures and explainable AI techniques to improve robustness, transparency, and accessibility.
Classification of Online Gambling Spam Comments on YouTube Using Support Vector Machine Umbu Anaagung Pariamalinya; Josua Josen A. Limbong; Julius Panda Putra Naibaho
Indonesian Journal of Artificial Intelligence and Data Mining Vol. 9 No. 1 (2026): March 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

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Abstract

While digital transformation has established YouTube as a major communication platform, the site has also become vulnerable to online gambling spam in Indonesia. This study investigates the effectiveness of the Support Vector Machine (SVM) algorithm for automated spam detection as an alternative to manual moderation. A total of 9,169 comments were collected from gaming, education, and entertainment channels using the YouTube Data API v3 and were used to train and evaluate the model with an 80:20 data split. The experimental results show that SVM achieved an accuracy of 99.62% and an F1-score of 0.996, demonstrating strong capability in identifying spam comments written in informal and modified promotional language. The main contribution of this study is the development of a highly accurate and practical spam detection approach for Indonesian YouTube comments, which can support more efficient moderation systems. However, the model still has limitations in detecting sarcastic content. Therefore, future research should explore deep learning models such as BERT to improve contextual understanding and strengthen automated moderation in digital environments.
Clustering HIV Screening Data in Teluk Bintuni Using K-Means Yuliana Manobi; Alex De Kweldju; Julius Panda Putra Naibaho
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.v14i02.2368

Abstract

Human Immunodeficiency Virus (HIV) remains a major public health challenge in Papua, Indonesia, where geographical barriers and limited resources complicate service delivery. This study applies clustering methods to HIV screening data from 22 Health Service Units (UPK) in Teluk Bintuni Regency during 2024–2025. The final dataset consisted of 29 valid unit-year observations containing variables related to total tests, HIV-positive cases, and sex-disaggregated distributions. Data preprocessing followed the Knowledge Discovery in Database (KDD) framework, including data selection, cleaning, log transformation, normalization, and the construction of derived variables such as positivity rate and gender ratios. Four clustering algorithms were compared, namely K-Means, Hierarchical Clustering, Fuzzy C-Means, and DBSCAN, using Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index. The results indicate that K-Means produced the most stable and interpretable clustering structure, forming three groups of UPKs: intermediate screening units with moderate coverage and low positivity, priority units with limited testing but high positivity rates, and active screening units with the highest testing volume and case detection. These findings reveal heterogeneity in HIV screening performance across UPKs and support differentiated intervention strategies. Units with high apparent positivity but low testing coverage require expanded outreach, field verification, and improved access to HIV screening services, while active screening units should be strengthened through counseling, referral, and follow-up services. This study demonstrates the usefulness of clustering analysis in identifying service gaps and supporting evidence-based HIV intervention planning at the local level.
PENERAPAN ALGORITMA BERT UNTUK DETEKSI KOMENTAR SPAM JUDI ONLINE DI YOUTUBE Fahri Akbar Rosid Asro; Julius Panda Putra Naibaho; Alex De Kweldju
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 2 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i2.8122

Abstract

Penyebaran komentar spam yang mengandung promosi perjudian daring di YouTube semakin meningkat dan mengganggu kualitas interaksi digital. Deteksi manual tidak lagi efektif karena volume komentar yang tinggi dan kompleksitas gaya bahasa yang digunakan. Penelitian ini bertujuan untuk menerapkan model In-doBERT yang telah di‑fine‑tune guna mendeteksi komentar spam bertema perjudian dalam bahasa Indonesia. Data mentah diperoleh melalui scraping sebanyak 9.056 komentar dari 14 video kategori game. Setelah dilakukan pra‑pemrosesan yang meliputi pembersihan teks, normalisasi, tokenisasi, penghapusan stopword, dan stemming, 263 komentar dihapus sehingga tersisa 8.793 komentar bersih untuk pelabelan. Komentar dikategorikan secara semi‑otomatis ke dalam dua kelas, spam dan non‑spam, dengan bantuan pencocokan kata kunci dan validasi manual. Model IndoBERT dilatih menggunakan pendekatan transfer learning dan dievaluasi dengan metrik akurasi, presisi, recall, dan F1‑score. Hasil eksperimen menunjukkan akurasi sekitar 99,54% (atau dibulatkan menjadi 99,6%) dan F1‑score 1,00, dengan hanya delapan kesalahan klasifikasi dari 1.759 data uji. Vis-ualisasi melalui wordcloud dan histogram mengungkap pola domi-nan istilah promosi dalam komentar spam. Temuan ini menunjukkan bahwa pendekatan berbasis transformer efektif dalam memahami konteks semantik, meskipun disamarkan melalui eufemisme atau kode, serta dapat diandalkan untuk meningkatkan akurasi sistem moderasi otomatis pada platform digital.
Aplikasi mop papua berbasis android dengan menggunakan kodular: Papuan mop application based on android using kodular Julius Panda Putra Naibaho; Ari Nur Safitri Prameti Ningsih; Nur Jamila
JISTECH: Journal of Information Science and Technology Vol 11 No 2 (2022): Oktober 2022
Publisher : Universitas Papua

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Abstract

Mop is a Papuan humorous story that satirizes and laughs at the habits of the Papuan people of various ethnicities, ages, professions, and economic status. If the Indonesian people are more familiar with the term stand-up comedy, the mop can be said to be similar to the comedy style. It's just that the mop uses a Papuan accent. The purpose of this research is to design an android-based application which can introduce Papuan mops to all Indonesian people in order to attract their attention that Papua has an entertaining hereditary culture. The development of technology in this era is so rapid that it spreads to various aspects of life. One of them is the world of entertainment. Where technology greatly facilitates access to entertainment at this time. This research is a form of applying the Papuan mop so that it can be used as an entertainment media that is more accessible and at any time. This application is built using kodular and uses a firebase database. The design is made using use case diagrams, activity diagrams, class diagrams and use case scenarios. The testing technique used is black box testing. The Papuan mop application that is designed consists of 2 types of users. User type admin and visitor. The menu options available are read cheats, add cheats, delete cheats, change passwords, give testimonials and read testimonials.
IMPLEMENTASI PEMBUATANSERVER VOIP MENGGUNAKAN TRIXBOX: VOIP SERVER DEVELOPMENT IMPLEMENTATION USING TRIXBOX Julius Panda Putra Naibaho
JISTECH: Journal of Information Science and Technology Vol 7 No 1 (2015): Pebruari 2015
Publisher : Universitas Papua

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Abstract

VoIP is a technology that allows telephone calls to be made over computer networks like the Internet. VoIPconverts analog voice signals into digital data packets and supports real-time, two-way transmission ofconversations using Internet Protocol (IP). VoIP calls can be made on the Internet using a VoIP service providerand standard computer audio systems. Alternatively, some service providers support VoIP through ordinarytelephones that use special adapters to connect to a home computer network. Trixbox is a PBX software that isbased on Asterisk. With Trixbox, you can place your phone calls using VoIP technology. If you use Ozeki PhoneSystem XE you can build an efficient application with VoIP support. In this guide you can learn how to connectOzeki Phone System XE to Trixbox.
Rancang Bangun Aplikasi Kidung Pujian Seruling Emas Dan Suara Gembira Berbasis Android : Design and Development of Seruling Emas and Suara Gembira Hymn Application for Android Isaiah Carlietias Kusuma Wanal Yom; Julius Panda Putra Naibaho; Lion Ferdinand Marini
JISTECH: Journal of Information Science and Technology Vol 12 No 3 (2023): Volume 12 Nomor 3 Tahun 2023
Publisher : Universitas Papua

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Abstract

The hymn of praise Seruling Emas and Suara Gembira is one of the hymns or songs used by Christians, specifically in the GKI Church throughout Papua, including the congregation of GKI Maranatha Biak, in the worship process. However, the system of using hymn books/papers is still ineffective and inefficient. Therefore, this research aims to develop a practical, effective, and efficient hymn application for the congregation, which helps facilitate information delivery and saves costs in creating or text of joyous sound songs. The methods of data collection include observation, interviews, and literature studies. The application development uses the waterfall method or model, through stages of analysis, design, implementation using the Flutter Framework, and testing. The result is an Android-based application "Kidung Pujian Seruling Emas dan Suara Gembira" successfully created using the Flutter Framework. This application has a menu featuring a list of songs with several features including text/lyrics and instrumental audio. The application testing is done using the BlackBox method, and the results of the testing show good results, meeting the specified specifications, and expected to help the congregation obtain accurate information.
Aplikasi Inventori Barang Berbasis Web Menggunakan PHP Pada M Mart: Web Based Goods Inventory Application Using PHP at M Mart Wahyu Akbar; Julius Panda Putra Naibaho; Marlinda Sanglise
JISTECH: Journal of Information Science and Technology Vol 13 No 1 (2024): Volume 13 Nomor 1 Tahun 2024
Publisher : Universitas Papua

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Abstract

The development of technology in this world is very rapid and has spread to various aspects of life. Technology also makes it very easy for us to make our work easier, one of which is managing stock at a place of business. M Mart is a business place or place to shop for daily necessities, food and drinks, as well as equipment commonly used for household needs, which still uses manual methods for managing and storing stock, incoming goods, outgoing goods. This is felt to be less effective and inefficient, because in the process of processing and storing data on stock of goods, incoming goods, outgoing goods, this will result in ineffectiveness in data processing and storage. To overcome this problem, the company needs a form of information system, namely a web-based inventory application that can help in carrying out the work of work units in managing and storing data, especially regarding stock of goods, incoming goods, outgoing goods.
Co-Authors Alex De Kweldju Alfi Syahriza Andreas Sumendap Ari Nur Safitri Prameti Ningsih Ari_Fadli La Tardi cindy aprillia atmaja Fahri Akbar Rosid Asro Isaiah Carlietias Kusuma Wanal Yom Josua Josen A. Limbong Lion Ferdinand Marini Lion Ferdinand Marini Marlinda Sanglise Nur Jamila Regina Natalia Sianturi Ridho Nur Fauzi Shafril Dwi Firmansyah Umbu Anaagung Pariamalinya Wahyu Akbar Yosia Artahsasta Yuliana Manobi