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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal TIMES Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta InComTech: Jurnal Telekomunikasi dan Komputer IJIS - Indonesian Journal On Information System Jurnal Teknoinfo Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Information System Journal (INFOS) Jurnal Teknologi dan Sistem Tertanam Journal Social Science And Technology For Community Service Jurnal Info Sains : Informatika dan Sains Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Jurnal Ilmiah Informatika dan Ilmu Komputer Jurnal Media Borneo Jurnal Media Celebes CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Kreatif Teknologi dan SIstem Informasi Riau Jurnal Teknik Informatika Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Sistematis Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Social Sciences and Technology for Community Service Journal of Information Technology Jurnal Teknoinfo Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Bianglala Informatika
Alfonsius, Eric
Universitas Sam Ratulangi
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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An Iot-Based Flood Early Warning System Integrated with the Sesaga Approach Rachmat Kasim; Eric Alfonsius
Jurnal Teknoinfo Vol. 20 No. 2 (2026): Period July 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/teknoinfo.v20i2.1570

Abstract

Floods are among the natural disasters that significantly impact human safety, infrastructure, and the economy, particularly in flood-prone areas. Therefore, an early detection system capable of providing fast, accurate, and adaptive information is required to support risk mitigation efforts. This study develops a Flood Early Detection System based on the SESaGa approach (Systematic, Exploratory, SWOT, and GIS Analysis), which integrates Systematic Literature Review (SLR), Exploratory Data Analysis (EDA), SWOT, and GIS. Research data were obtained from a flood monitoring prototype installed at several flood-prone points in Gorontalo. The implementation results show that the SESaGa approach enhances early detection accuracy and provides valuable spatial information for mitigation planning. In addition, the integration of SWOT analysis generates strategic recommendations for strengthening the system and disaster management policies. The developed system was also tested using the blackbox testing method to ensure that the software functionalities meet user requirements. The test results demonstrate that all key features, including sensor data monitoring, warning notifications, and GIS-based visualization, functioned properly without critical errors. Thus, this system has the potential to serve as an essential instrument in supporting community resilience against flood threats and improving the effectiveness of mitigation measures in vulnerable regions.
Implementasi Metode SMART untuk Meningkatkan Transparansi dalam Promosi Jabatan Eric Alfonsius; Lilis Dwi Sapta Aprilyani
Sistematis Vol. 1 No. 2 (2025): April 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/5bt2hq85

Abstract

Promosi jabatan merupakan proses penting dalam manajemen sumber daya manusia yang harus dilakukan secara objektif dan transparan. Namun, sering kali proses ini masih menghadapi tantangan, seperti subjektivitas dalam penilaian dan kurangnya transparansi dalam pengambilan keputusan. Penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) berbasis Simple Multi-Attribute Rating Technique (SMART) untuk meningkatkan transparansi dan objektivitas dalam proses promosi jabatan. Metode SMART digunakan karena kemampuannya dalam memberikan bobot pada kriteria yang telah ditentukan, sehingga menghasilkan keputusan yang lebih terstruktur dan dapat diukur. Penelitian ini mencakup analisis kebutuhan, perancangan sistem menggunakan metode Waterfall, implementasi, serta evaluasi sistem. Hasil implementasi menunjukkan bahwa sistem mampu meningkatkan objektivitas dalam penilaian pegawai yang diusulkan untuk promosi jabatan. Berdasarkan uji coba terhadap sejumlah data pegawai, sistem ini meningkatkan akurasi penilaian hingga 95% dibandingkan dengan metode manual sebelumnya. Selain itu, subjektivitas dalam pengambilan keputusan dapat dikurangi sebesar 10%, berdasarkan perbandingan antara keputusan yang dihasilkan sistem dan keputusan yang diambil tanpa menggunakan SPK. Pengujian menggunakan black-box testing menunjukkan bahwa seluruh fungsi sistem berjalan sesuai spesifikasi yang dirancang, dengan tingkat keberhasilan 100% dalam aspek fungsionalitas aplikasi, sesuai dengan perhitungan manual SPK Promosi Jabatan yang dibangun. Dengan demikian, sistem ini dapat meningkatkan transparansi serta kepercayaan pegawai terhadap proses promosi jabatan.
Implementation of IOT-Based Chili Plant Watering System Prototype with BLYNK Control Cessi Rumondor; Mans Lumiu Mananohas; Rillya Arundaa; Eric Alfonsius
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.483

Abstract

This research aims to design and implement a prototype of an Internet of Things (IoT)-based dual-mode irrigation system for chili plants, integrating automatic and manual control via the Blynk application. The background of this study is the need for efficient water management in chili farming, which is often constrained by traditional manual irrigation methods. The system is built using a NodeMCU ESP32 microcontroller connected to a capacitive soil moisture sensor, DHT11 sensor, and relay modules that control water and fertilizer pumps. The research method uses a prototyping model to design, build, and test the irrigation system. Real-time sensor data is transmitted to the Blynk dashboard, allowing farmers to monitor environmental conditions and control the pumps either automatically (based on threshold logic) or manually via smartphone. The calibration results show that the soil moisture sensor achieves 93.5% accuracy. Testing using the black-box method confirms that all system components function as expected, with responsive performance both in automatic and manual modes. The findings demonstrate that the dual-mode IoT-based irrigation system can maintain optimal soil moisture levels while providing flexibility for farmers to override the system based on real-world conditions. This hybrid solution offers a practical approach to modern agriculture, improving decision-making and efficiency in crop watering practices.
Developing Web-Based Archiving System with XP: Study Case on UPT Kearsipan Universitas Sam Ratulangi Egidius C. Runtu; Eric Alfonsius; Benny Pinontoan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.612

Abstract

UPT Kearsipan Universitas Sam Ratulangi, a technical implementation unit responsible for archive management, faces challenges with traditional manual correspondence processes, leading to potential data loss, recording errors, and slow information distribution. This research aimed to develop a web-based Archiving Correspondence Information System (ARCIS) to address these issues. The system was developed using the Extreme Programming (XP) method, emphasizing frequent iterations, active user involvement, and continuous testing. Built with PHP and MySQL technologies, ARCIS includes features such as incoming and outgoing letter management, disposition tracking, classification, institution and user data management, and notification alerts. The XP method, with its rapid adaptation to changing user needs, was chosen to create a responsive and high-quality solution. Black box testing confirmed that all system functionalities perform effectively and meet user needs, achieving a 100% success rate in Iteration 1 and 83.33% in Iteration 2. This system provides a more effective, efficient, and organized solution for managing letters and archives.
Website-Based Running Sports Information System For Communities In North Sulawesi Using Extreme Programming Method Inayah Syaban; Tohap Manurung; Aditya Kalua; Eric Alfonsius
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 4 (2025): Volume 6 Number 4 Desember 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i4.692

Abstract

The community in North Sulawesi has shown a strong interest in running, as evidenced by the increasing number of running communities and events. However, the absence of an integrated platform that provides information about running routes, communities, and events has become a challenge for runners in accessing information efficiently. This study employs the Extreme Programming method and aims to develop a web-based information system that delivers comprehensive information related to running sports. The website features key components such as community profile pages, a running event calendar, and running route locations, complete with maps, route descriptions, track lengths, difficulty categories, photo galleries, and supporting facilities like toilets and resting spots. The displayed information is sourced from various local communities and is systematically organized to ensure easy access for the public. Additionally, the website includes a contact page that allows users to provide suggestions or feedback to the admin. It also features a function that enables event organizers to directly submit event data and running route locations into the system through the contact page. This system is expected to help the community access information more easily and increase participation in running activities throughout North Sulawesi
Development of a Web-Based Geographic Information System for Mapping and Monitoring the Spatial Distribution of Dengue Hemorrhagic Fever (DHF) Cases in Manado City Christian Fendy Sumangkut; Mans L. Mananohas; Eric Alfonsius; Eliasta Ketaren
Jurnal Info Sains : Informatika dan Sains Vol. 16 No. 02 (2026): Info sains, 2026
Publisher : SEAN Institute

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

Abstract

Dengue Hemorrhagic Fever (DHF) remains a major public health concern in many regions of Indonesia, including Manado City. The spatial distribution of dengue cases is strongly influenced by environmental and geographical factors, highlighting the need for an information system capable of providing timely and accurate spatial data to support disease surveillance and control. This study aims to design and develop a web-based Geographic Information System (GIS) for mapping the spatial distribution of DHF cases in Manado City. The system was developed using the Waterfall software development model, which consists of the sequential phases of requirements analysis, system design, implementation, testing, and maintenance. The application was implemented using PHP as the programming language and MySQL as the database management system, while Leaflet.js and OpenStreetMap were utilized to provide interactive geospatial visualization based on GeoJSON data. The developed system enables users to visualize the spatial distribution of dengue cases through an interactive digital map, manage epidemiological data, and access statistical summaries via a web-based dashboard. Functional evaluation using Black Box Testing demonstrated that all major system functions operated correctly and fulfilled the specified requirements. The proposed GIS application provides an effective platform for spatial disease surveillance and supports evidence-based decision-making by public health authorities in planning and implementing dengue prevention and control strategies.
User Satisfaction Analysis of Streaming Applications Using the Technology Acceptance Model David Kalwi Manullang; Yohanes A. R Langi; Dodisutarma Lapihu; Mahardika I. Takaendengan; Eric Alfonsius; Edwin Tenda
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.v14i02.2313

Abstract

The rise of information and communication technology has led to the development of several digital platforms, especially in the entertainment industry, such as community-driven streaming apps. One of the growing platforms is Bstation, which provides anime, comics, and game content. However, in its implementation, several issues are still encountered, such as difficulties in finding content due to irrelevant search results, limited content availability and delayed episode updates, as well as suboptimal viewing experiences, including streaming interruptions and audio-video desynchronization. These problems have an impact on decreasing user comfort, usage frequency, and users’ intention to continue using the application. This investigation assesses Bstation application satisfaction levels through Technology Acceptance Model (TAM) application. Employing quantitative questionnaire methodology, study tests key variables: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), Behavioral Intention (BI), and Actual Use (AU). Although BI and AU correlations appear insignificant, integrated variables clearly impact ATU. Data confirms perceived benefits and ease drive user satisfaction, overshadowing actual usage pattern.
Sistem Identifikasi Varietas Koi Berdasarkan Pola Corak dan Warna Menggunakan YOLOv8 Sabrina Kawulusan; Winsy Ch. D. Weku; Eric Alfonsius
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 4 (2026): Volume 4 Number 4 October 2026 (Issue in Progress)
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i4.359

Abstract

Ikan koi (Cyprinus carpio) merupakan komoditas ikan hias bernilai ekonomis tinggi yang variasi corak dan warnanya, terutama pada varietas Kohaku, Sanke, dan Showa, menjadi daya tarik utama sekaligus tantangan tersendiri dalam proses identifikasi. Metode identifikasi manual yang selama ini digunakan pembudidaya masih rentan terhadap subjektivitas penilaian, khususnya pada varietas dengan kemiripan morfologi visual seperti Sanke dan Showa. Penelitian ini mengembangkan model deteksi dan klasifikasi ketiga varietas koi tersebut menggunakan arsitektur YOLOv8n yang diimplementasikan ke dalam sistem berbasis website. Dataset penelitian terdiri atas 313 citra sekunder dan 35 citra primer, yang setelah melalui anotasi dan augmentasi meningkat menjadi 589 citra dengan pembagian 414 data latih, 116 data validasi, dan 59 data uji. Model dilatih menggunakan tiga skenario konfigurasi hyperparameter berbeda, dengan konfigurasi epoch 100, batch 16, dan patience 20 menghasilkan performa terbaik berupa precision 94,88%, recall 87,87%, mAP@0,5 sebesar 93,89%, dan mAP@0,5:0,95 sebesar 90,85%. Analisis confusion matrix menunjukkan kesalahan klasifikasi paling banyak terjadi antara kelas Sanke dan Showa, sejalan dengan kemiripan visual keduanya, sementara kelas Kohaku menunjukkan performa paling stabil. Pengujian model pada data uji menghasilkan akurasi sebesar 98,30%, mengonfirmasi kemampuan generalisasi model terhadap data baru. Model yang telah divalidasi selanjutnya diintegrasikan ke dalam sistem berbasis website, dan pengujian fungsionalitas menggunakan metode black box testing membuktikan bahwa seluruh fitur sistem berjalan sesuai harapan tanpa kegagalan fungsi.
Klasifikasi Spesies Teripang (Holothuroidea) Menggunakan YOLOv11 Grea Nur Fadillah; Luther Alexander Latumakulita; Eric Alfonsius
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 3 (2026): Volume 4 Number 3 September 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i3.358

Abstract

Teripang merupakan sumber daya hayati laut yang memiliki nilai ekologis dan ekonomis tinggi, namun identifikasi spesiesnya masih dilakukan secara manual sehingga rentan terhadap kesalahan akibat kemiripan karakteristik morfologi antarspesies. Penelitian ini bertujuan membangun model klasifikasi spesies teripang berbasis citra digital menggunakan YOLOv11. Dataset yang digunakan terdiri atas 1.000 citra tiga spesies teripang, yaitu Holothuria scabra, Holothuria atra, dan Holothuria leucospilota, yang diperoleh dari wilayah perairan Desa Serei dan Desa Paputungan, Kabupaten Minahasa Utara. Tahapan penelitian meliputi validasi ahli, pelabelan data, pembagian dataset dengan rasio 70:20:10, preprocessing, augmentasi pada data latih, pelatihan model YOLOv11n selama 50 epoch, evaluasi menggunakan data uji, serta implementasi model ke dalam sistem berbasis Gradio. Hasil evaluasi pada 100 data uji menunjukkan bahwa model memperoleh Precision sebesar 99,70%, Recall 100,00%, F1-Score 99,85%, mAP50 99,50%, dan mAP50-95 99,00%. Hasil tersebut menunjukkan bahwa model memiliki kemampuan yang sangat baik dalam mengidentifikasi ketiga spesies teripang serta mampu mempertahankan performa pada data yang tidak digunakan selama proses pelatihan. Penelitian ini juga menghasilkan prototipe sistem berbasis web yang dapat membantu proses identifikasi spesies teripang secara otomatis melalui citra digital
Sistem Prediksi dan Deteksi Anomali Berbasis Iot-Time Series Dengan Pendekatan Explainable AI Bonitalia Bonitalia; Eric Alfonsius
InComTech : Jurnal Telekomunikasi dan Komputer Vol. 16 No. 2 (2026)
Publisher : Department of Electrical Engineering

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

Abstract

Budidaya anggur memerlukan pemantauan intensif terhadap kondisi lingkungan seperti kelembaban tanah, pH, dan kadar nutrisi untuk memastikan pertumbuhan optimal dan kualitas panen yang tinggi. Penelitian ini mengusulkan pengembangan sistem prediksi dan deteksi anomali berbasis Internet of Things (IoT) dan analisis deret waktu (time series) yang dilengkapi dengan pendekatan Explainable Artificial Intelligence (XAI). Sistem ini mengintegrasikan sensor IoT untuk pengumpulan data real-time dari lahan budidaya anggur, kemudian menerapkan model prediksi berbasis machine learning untuk memantau pola perubahan parameter lingkungan. Deteksi anomali dilakukan menggunakan metode unsupervised learning yang mampu mengidentifikasi penyimpangan dari kondisi normal, sehingga memberikan peringatan dini kepada petani. Komponen XAI digunakan untuk menjelaskan alasan di balik setiap deteksi anomali, sehingga meningkatkan transparansi dan kepercayaan pengguna terhadap hasil sistem. Hasil pengujian menunjukkan bahwa sistem mampu mencapai tingkat akurasi prediksi sebesar 92% dan sensitivitas deteksi anomali sebesar 89%, sehingga efektif membantu dalam pengambilan keputusan terkait irigasi, pemupukan, dan tindakan korektif lainnya. Temuan ini diharapkan dapat mendukung praktik pertanian presisi dan meningkatkan produktivitas serta efisiensi dalam budidaya anggur.
Co-Authors Ade Yuni Safitri Aditya Kalua Aditya Lapu Kalua Aditya Lapu Kalua Adrian Marthinus Adrian Philip Marthinus, Adrian Philip Ali Bardadi Anwar S. Panyili Aprilyani, Lilis Dwi Sapta Benny Pinontoan Benny Pinontoan Bonitalia Bonitalia Bonitalia Cessi Rumondor Christian Alderi Jeffta Soewoeh Christian Fecky Lagimpu Christian Fendy Sumangkut David Kalwi Manullang Deiby T Salaki Dodisutarma Lapihu Dodisutarma Lapihu Dolfie Paulus Pandara Egidius C. Runtu Eliasta Ketaren Eliasta Ketaren Eliasta Ketaren Esda Dwitri Fidelia Anninda Fabiolani Frets Mantiri, Roma Nouke Gherika Gerungan Gloria Pangau Grea Nur Fadillah Hadiwidjaja, Angelica Christy Hihola, Maharani I Gusti Ngurah Aditya Putra I Made Nopa Vendi Astawa Inayah Syaban Irawaty Masloman Jelly Ribka Danaly Lumingkewas Johanes, Albani Boutje Jullia Titaley Lapu Kalua, Aditya Lengkong, Agnes Gratia Lisapaly , Carmen Emanuela Dwiva Liuw, Daniel Lolombulan, Chaelsie Ribka Luther Alexander Latumakulita M. Yusuf Jumain Mahardika I. Takaendengan Mahardika Inra Takaendengan Manahampi, Romei Mans L. Mananohas Mans Lumiu Mananohas Massie Hihola, Maharani Margareth Megastin M. Lumembang Mokodongan, Witha Radifa Nelson Nainggolan Ngangi, Stephano Caesar Wenston Ngangi, Stephano W. C. Nio Song Ai Pangau, Gloria Rachmat Kasim Rachmat Kasim Rama Turnip Ramadhani, Syarifah Fitrah Rillya Arundaa Riski Risandi Ruitan, Anna Stefanie Sabrina Kawulusan Salaki, Deiby Sanriomi Sintaro Schin Nasarani Pangaribuan Siska Ayu Widiana Stephano Caesar Wenston Ngangi Stephano Caesar Wenston Ngangi Ngangi Sukardi Sukardi Sukardi Sukardi Tambalean, Feergio Given Majesti Tenda, Edwin Tohap Manurung Wibowo Harry Sugiharto Wildan Wildan Winsy Ch. D. Weku Winsy Weku Wisard Kalengkongan Wisard Widsli Kalengkongan Yohanes A. R Langi Yohanes Langi Yohanes Langi Yosia Nico