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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah Inovasi G-Tech : Jurnal Teknologi Terapan International Journal of Industrial Optimization (IJIO) Jurnal Sistem Informasi dan Sains Teknologi Jurnal Media Informatika Co-Value : Jurnal Ekonomi, Koperasi & Kewirausahaan Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) SWARNA Journal of Information Technology and Cyber Security Journal of Information Technology Journal of Vocational, Informatics and Computer Education
Setiawan, Akas Bagus
Politeknik Negeri Jember, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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The Waterfall Model in the Implementation of a Room Reservation Information System: A Case Study at a University Setiawan, Akas Bagus; Rizaldi, Taufiq
Journal of Information Technology and Cyber Security Vol. 2 No. 2 (2024): July
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.12248

Abstract

Politeknik Negeri Jember (National State of Jember Polytechnic), Indonesia, fully understand that infrastructure is one among various key factors to enhance the quality of the university. However, in the department of Information Technology, infrastructure management is a prominent issue. The primary cause of the issue appears to be a manual arrangement of room reservations, as room usage often crashes due to the scheduling mismatch. To tackle this issue, this study focuses on the development of a room reservation information system, known as “Sistem Informasi Peminjaman Ruangan dan Sarana Pembelajaran (SIPRu)”. The system is developed as an additional feature in the department website. It is developed using the Waterfall method, beginning with the requirements analysis (i.e., an identification of functional and non-functional requirements) and architectural processes design processes (i.e., the development of use case diagram, flowchart, data flow diagram, and database design). In this study, Laravel is used for the implementation, and black box testing is used to verify compliance with the functional requirements. During the testing process, 42 department stakeholders participated to validate the requirements and conduct user experience testing. The results indicated that the stakeholders have found the website to be sufficiently responsive to their needs. Furthermore, it is revealed that SIPRu is effective at assisting users in reserving rooms at the department of Information Technology, National State of Jember Polytechnic.
Proposing the Urgency of Consumer Protection Regulations and Freshness Detection Applications for Fish in Traditional Markets Using Technology Setiawan, Akas Bagus; Firmansyah, Akbar Maulana
Co-Value Jurnal Ekonomi Koperasi dan kewirausahaan Vol. 15 No. 10 (2025): Co-Value: Jurnal Ekonomi, Koperasi & Kewirausahaan
Publisher : Program Studi Manajemen Institut Manajemen Koperasi Indonesia Bandung

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Abstract

This study explores consumer knowledge and vendor practices related to the freshness of ikan tongkol (Euthynnus affinis) in traditional markets in Jember, Indonesia. Using a mixed-methods approach, data were collected from 271 consumers and 62 vendors through surveys and interviews. Consumers mostly relied on sensory indicators like color, smell, and texture—especially color—to assess freshness. Although many felt confident in judging freshness, around 20% were uncertain, revealing a knowledge gap. Social media and the Internet were key information sources, raising concerns about accuracy. Vendors commonly used ice storage, with limited access to refrigeration. Interviews highlighted vendor awareness of quality issues but also challenges due to limited infrastructure. The study reveals a mismatch between perceived and actual freshness, shaped by traditional knowledge and limited objective tools. Enhancing education, vendor practices, and introducing simple freshness indicators could improve transparency, safety, and market resilience. The findings offer insights for policy and food system improvements
Analisis Kualitas Sistem Informasi Akademik Berbasis Website di Universitas Bahauddin Mudhary Madura dengan Pendekatan PIECES Framework: Analysis of the Quality of Website-Based Academic Information Systems at Bahauddin Mudhary Madura University Using the PIECES Framework Approach Vindarosita, Babylina; Setyo Wibowo, Nugroho; Setiawan, Akas Bagus; Yuniar, Eka; Yudhistira, Prillinaya; Resya , Fachmi
Jurnal Ilmiah Inovasi Vol 25 No 1 (2025): April
Publisher : Politeknik Negeri Jember

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Abstract

Penelitian ini bertujuan untuk menganalisis kualitas Sistem Informasi Akademik (SIAKAD) Universitas Bahauddin Mudhary Madura berdasarkan persepsi kepuasan pengguna (mahasiswa) menggunakan metode PIECES framework. Metode PIECES framework digunakan untuk mengevaluasi enam aspek kualitas sistem informasi, yaitu Performance, Information and Data, Economics, Control and Security, Efficiency, dan Service. Pengumpulan data dilakukan melalui kuesioner yang disebarkan kepada mahasiswa pengguna SIAKAD. Hasil penelitian diharapkan dapat memberikan gambaran yang komprehensif mengenai kualitas SIAKAD saat ini, mengidentifikasi area-area yang memerlukan perbaikan, serta memberikan rekomendasi yang konstruktif untuk pengembangan SIAKAD di masa depan sehingga dapat meningkatkan kepuasan mahasiswa sebagai pengguna. Penelitian ini diharapkan dapat memberikan kontribusi bagi Universitas Bahauddin Mudhary Madura dalam meningkatkan kualitas layanan akademik berbasis teknologi informasi.
OTOMATISASI PENJADWALAN DAN PENGINGAT TUGAS BERBASIS GOOGLE FORM, APPS SCRIPT, DAN GOOGLE CALENDAR UNTUK EFISIENSI MANAJEMEN PROYEK Setiawan, Akas Bagus; Hermansyah, Mas'ud
Jurnal Sistem Informasi dan Sains Teknologi Vol 7, No 2 (2025): Jurnal Sistem Informasi dan Sains Teknologi
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/sistek.v7i2.2425

Abstract

Manajemen tugas yang efektif menjadi tantangan utama dalam organisasi modern, terutama dalam mengelola tenggat waktu dan kolaborasi antar anggota tim. Penelitian ini mengembangkan sistem otomatisasi penjadwalan dan pengingat tugas berbasis Google Form, Google Apps Script, dan Google Calendar. Sistem ini memungkinkan data tugas yang diinput melalui Google Form secara otomatis dijadwalkan ke Google Calendar, lengkap dengan pengingat sebelum deadline. Metode penelitian meliputi perancangan form digital, pemrograman Apps Script untuk integrasi data, serta pengujian sistem pada lingkungan kerja nyata. Hasil implementasi menunjukkan peningkatan kepatuhan terhadap deadline dan efisiensi monitoring tugas. Integrasi ini juga mengurangi beban administratif dan potensi human error dalam penjadwalan manual. Sistem yang diusulkan dapat diadopsi oleh berbagai organisasi untuk meningkatkan efektivitas manajemen tugas dan kolaborasi tim.
Implementasi Naïve Bayes dalam Flask Framework untuk Sistem Informasi Klasifikasi Penyakit Jantung Bagus Setiawan, Akas; Nasyatha Adlin, Dzakiyyan; Hermansyah, Mas'ud
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 5 (2025): EDISI SEPTEMBER 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i5.11494

Abstract

Penyakit jantung merupakan salah satu penyebab utama kematian di Indonesia, dengan tren kasus yang terus meningkat setiap tahunnya. Deteksi dini sangat penting untuk mencegah risiko yang lebih parah, namun keterbatasan akses terhadap layanan kesehatan menjadi kendala di beberapa wilayah. Penelitian ini bertujuan untuk membangun sistem klasifikasi penyakit jantung berbasis algoritma Naive Bayes yang diimplementasikan dalam API menggunakan Flask Framework Python sebagai backend cerdas. Dataset yang digunakan diperoleh dari Kaggle dan telah melalui tahapan preprocessing, seleksi atribut, transformasi data, serta pembagian data latih dan uji. Model Naive Bayes dipilih karena kesederhanaannya serta kemampuannya dalam menangani data berskala besar. Evaluasi model menunjukkan performa yang cukup baik, dengan accuracy mencapai 73,77%, precision 67,57%, dan recall 86,21%. Sistem yang dikembangkan diintegrasikan dalam layanan web dan mobile, sehingga dapat diakses oleh pengguna secara luas. Hasil penelitian ini menunjukkan bahwa integrasi algoritma machine learning dan API dapat memberikan solusi deteksi dini penyakit jantung yang ringan, cepat, dan mudah digunakan. Penelitian ini diharapkan dapat menjadi dasar pengembangan sistem pendukung keputusan dalam bidang kesehatan digital.
Smart Reminder: Sistem Pengingat Tugas Berbasis ReactJS dan Google Apps Script untuk Manajemen Proyek Tim: No Bagus Setiawan, Akas; Hermansyah, Mas’ud
Jurnal Media Informatika Vol. 6 No. 6 (2025): Edisi Desember 2025
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i6.7461

Abstract

Manajemen tugas yang efisien merupakan tantangan utama dalam organisasi modern, terutama dalam mengelola tenggat waktu serta memastikan kolaborasi yang optimal antaranggota tim. Penelitian ini bertujuan mengembangkan sistem otomatisasi penjadwalan dan pengingat tugas berbasis cloud dengan mengintegrasikan ReactJS sebagai frontend untuk input data, serta Google Apps Script dan Google Calendar sebagai backend. Melalui sistem ini, data tugas yang dimasukkan melalui formulir ReactJS dikirim secara real-time ke endpoint Google Apps Script, kemudian dijadwalkan secara otomatis ke Google Calendar lengkap dengan notifikasi pengingat sebelum batas waktu penyelesaian. Metodologi penelitian mencakup perancangan antarmuka pengguna berbasis prinsip UI/UX, pengembangan skrip pemrosesan otomatis di Apps Script, serta pengujian sistem dalam lingkungan kerja nyata. Hasil pengujian menunjukkan adanya peningkatan signifikan dalam kepatuhan terhadap tenggat waktu dan efisiensi pemantauan tugas, disertai penurunan beban administratif dan potensi human error pada proses penjadwalan manual. Berdasarkan hasil survei kepuasan pengguna, 87% responden menyatakan sistem ini mempermudah pengelolaan tugas dan membantu dalam mengingat deadline. Sebagian besar responden juga menilai bahwa formulir input berbasis ReactJS mudah digunakan dan validasi datanya berjalan efektif dalam meminimalkan kesalahan input. Dengan hasil tersebut, sistem berbasis ReactJS dan Apps Script ini dapat dijadikan solusi inovatif dan skalabel untuk mendukung manajemen tugas dan kolaborasi tim berbasis cloud di berbagai lingkungan organisasi.
Line-of-Sight Dominance Over Vegetation: Simulation-Based LoRa Performance in Tropical Forest Terrain Atmoko, Rachmad; Rahmat Hidayatullah, Rifqi; Nur Na’im, Septian Ghuslal; Izzun Ni`am, Muhammad; Bagus Setiawan, Akas
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15627

Abstract

Low-Power Wide-Area Network (LPWAN) technologies, especially LoRa, are receiving considerable interest for applications involving environmental monitoring in difficult terrain conditions. However, existing research predominantly examines vegetation attenuation or terrain elevation effects separately, leaving a critical research gap in understanding their combined and interactive impacts on LoRa connectivity in tropical forest environments. Furthermore, most studies rely on simplified propagation models that inadequately represent the complex radio environment of tropical forests, and few investigations systematically compare the relative importance of vegetation density, elevation, and line-of-sight conditions. This work addresses these gaps through an in-depth simulation-based investigation of LoRa network behavior in the University of Brawijaya (UB) Forest, which serves as a typical tropical forest setting in Indonesia. We performed detailed simulations using Python and LoRaSim, employing fine-resolution elevation datasets and precise vegetation classification to examine how dense vegetation, medium vegetation, and elevation parameters influence LoRa communication performance. Our findings indicate that, in contrast to traditional propagation models, nodes located in dense vegetation zones reached a 90.0% success rate, as opposed to 65.0% in zones without vegetation. Additional investigation shows that line-of-sight presence (28.6% versus 0.0% success rate) and relative elevation relative to the gateway (11.1% versus 27.3% success rate for nodes positioned above and below the gateway, respectively) represent more crucial factors for connectivity compared to vegetation attenuation by itself. These outcomes offer important guidance for enhancing LoRa-based environmental monitoring systems in tropical forest settings through strategic node positioning that considers elevation characteristics and line-of-sight availability.
Studi Efektifitas Lampu Perangkap Hama Padi Tenaga Surya dalam Konteks Ekologi Pertanian Dedes, Khen; Fatimatuzzahra, Fatimatuzzahra; Juli, David; Setiawan, Akas Bagus; Mujiono, Mujiono
SWARNA: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 12 (2025): SWARNA : Jurnal Pengabdian Kepada Masyarakat, Desember 2025
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/swarna.v4i12.1830

Abstract

The increasing intensity of pest attacks on rice plants is one of the major factors contributing to the decline in productivity and quality of yields in Indonesia’s agricultural sector. Farmers’ excessive dependence on chemical pesticides not only leads to pest resistance but also poses negative impacts on human health, the environment, and the ecological balance of paddy fields. Therefore, there is an urgent need for innovative, environmentally friendly, efficient, and sustainable pest control technologies. This study proposes the implementation of a solar-powered pest trap lamp integrated with an Internet of Things (IoT)-based system as an alternative solution within an integrated pest management (IPM) framework. The device is designed to utilize solar energy as its primary power source to support energy-efficient operations while reducing dependence on conventional electricity. The IoT connectivity enables real-time data transmission to a cloud-based server for remote monitoring, data analysis, and evidence-based decision-making. Through this approach, pest control can be carried out more precisely, efficiently, and adaptively according to field conditions. Moreover, the application of this technology has the potential to minimize the use of chemical pesticides, enhance agroecosystem health, and promote the principles of sustainable agriculture and national food security. This study emphasizes that the integration of solar energy and IoT technology in pest trap systems can serve as a significant innovation in the digital modernization of agriculture in Indonesia. Further research recommendations include large-scale field trials, quantitative analysis of pest population reduction effectiveness, and evaluation of the economic, social, and adoption aspects among farmers. Hence, this study is expected to provide a substantial contribution to the development of intelligent, efficient, and sustainable pest management systems.
Decision Support System for Selecting the Best Rental House with Weight Product in Sidokare District, Sidoarjo Regency Setiawan, Akas Bagus; Yuniar, Eka; Hermansyah, Mas'ud; Mujiono, Mujiono; Ariyadi, David Juli
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8865

Abstract

The demand for rental housing in high-mobility areas such as Sidokare District, Sidoarjo Regency, continues to increase along with the region's economic development. However, prospective tenants often face difficulties in selecting the right rental house due to unstructured information and subjective decision-making processes. This study aims to develop a web-based Decision Support System (DSS) capable of providing objective and measurable rental housing recommendations. The method used is the Weighted Product (WP), a multicriteria decision-making technique that normalizes weights through multiplication operations. This system evaluates five rental housing alternatives based on eight main criteria, including price, location, facilities, security, and comfort. The results show that Sukun Rental House is the best alternative with the highest preference value of 0.0769. The practical implication of this study is the availability of an efficient digital tool for residents and students in Sidokare to compare various housing options transparently and quickly. This system successfully minimizes subjectivity in housing selection and helps users find the housing that best suits their financial priorities and functional needs.
Optimization of real-time forest monitoring system using yolo v9 object detection and 2.4 ghz wireless network: resource allocation, energy efficiency, and industrial deployment strategies Atmoko, Rachmad Andri; Hidayatullah, Rifqi Rahmat; Na’im, Septian Ghuslal Nur; Setiawan, Akas Bagus
International Journal of Industrial Optimization Vol. 7 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v7i1.11899

Abstract

Large forest areas are increasingly exposed to illegal activities and environmental threats, while conventional monitoring systems suffer from limited coverage, high energy consumption, and delayed response. To address these challenges, this study proposes an optimized real-time forest monitoring system designed for industrial-scale deployment in remote environments. The primary objective is to enhance surveillance efficiency by integrating AI-based object detection, long-range wireless communication, and resource-efficient system design. The proposed system employs ESP32-CAM sensor nodes integrated with 2.4 GHz CPE wireless links and a gateway-based YOLOv9 object detection framework. Bandwidth utilization is optimized through selective transmission of processed detection metadata instead of raw images, while deployment parameters are optimized using simulation-based planning. A web-based monitoring platform with an optimized REST API supports real-time visualization and alert generation. Experimental results show that the system achieves reliable communication up to 500 m with packet loss below 5% and latency under 50 ms at distances up to 300 m. Human detection accuracy reaches 98.5% under optimal conditions, with performance degradation observed in dense vegetation and low-light environments. Energy evaluation confirms sustainable operation, with ESP32 nodes consuming 160 mA and the gateway operating at 3.7 W. Comparative analysis indicates reductions of 37% in deployment cost, 24% in energy consumption, and 51% in latency compared to similar systems. This study concludes that the proposed architecture effectively balances accuracy, scalability, cost, and energy efficiency. The novelty lies in the integrated optimization of edge-based AI detection, selective data transmission, and simulation-driven deployment for industrial forest monitoring.
Co-Authors Aji Seto Arifianto Annisa Fitri Maghfiroh Harvyanti Atmoko, Rachmad Beni Widiawan, Beni David Juli Ariyadi Dedes, Khen Dwi Putro Sarwo Setyohadi Dwi Putro Sarwo Setyohadi, Dwi Putro Sarwo Eka Yuniar Fatimatuzzahra Fatimatuzzahra Fatimatuzzahra Hendra Yufit Riskiawan Hermansyah, Mas'ud Hermansyah, Masud Hermansyah, Mas’ud Hidayatullah, Rifqi Rahmat I Gede Wiryawan Izzun Ni`am, Muhammad Jannah, Annisa Nurul Hidayati Juli, David Khen Dedes M Faiz Firdausi Mas'ud Hermansyah Mas'ud Hermansyah Maulana Firmansyah, Akbar Mujiono Mujiono Nasyatha Adlin, Dzakiyyan Na’im, Septian Ghuslal Nur Nur Na’im, Septian Ghuslal Pascawati Savitri Universitasari Rachmad Andri Atmoko, Rachmad Andri Rahmat Hidayatullah, Rifqi Resya , Fachmi Reza Putra Pradana Rizal Setya Perdana Saiful Anwar Setyo Wibowo, Nugroho Sherin Ramadhania Syamsul Arifin Taufiq Rizaldi Vindarosita, Babylina Wijaya, Fariz Rizky Yudhistira, Prillinaya Yuniar, Eka