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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ners Jurnal Abdi: Media Pengabdian Kepada Masyarakat Proceeding Maritime Business Management Conference
Adianto Adianto
Politeknik Perkapalan Negeri Surabaya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Social Sciences Other

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Pengenalan PLC untuk Meningkatkan Kemampuan Logika Asesmen Kompetensi Minimal (AKM) Siswa SMAN 1 Jogorogo Isa Rachman; Muhammad Basuki Rahmat; Adianto Adianto; Ii Munadhif; Ryan Yudha Adistira
Jurnal ABDI: Media Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2021)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ja.v7n1.p147-151

Abstract

Asesmen Kompetensi Minimal (AKM) merupakan salah satu asesmen nasional yang akan digunakan pada tahun 2021 oleh Kementerian Pendidikan dan Kebudayaan untuk menggantikan ujian nasional tingkat SMA. AKM fokus mengukur kemampuan literasi dan numerikal melalui kemampuan logika dan pemahaman baca siswa. Berdasarkan laporan hasil tes PISA pada tahun 2019, kedua aspek kompetensi ini menjadi masalah mendasar siswa di Indonesia. Untuk memicu peningkatan kemampuan logika siswa SMAN 1 Jogorogo, maka diberikan pengetahuan tambahan yang tidak tercantum dalam kurikulum. Salah satunya melalui kegiatan pengenalan PLC yang merupakan perangkat pemrograman berbasis logika. Kegiatan ini juga mampu meningkatkan kompetensi siswa dalam literasi digital, teknologi dan manusia pada era revolusi industri 4.0 karena PLC banyak digunakan dibidang otomasi industri. Kegiatan dilaksanakan secara daring melalui media interaktif karena pada kondisi pandemi COVID-19. Dari pelaksanaan kegiatan ini, didapatkan hasil quiz peserta pada setiap pokok materi menunjukkan hasil yang cukup memuaskan dengan nilai rata-rata 74 dan hasil test peserta pada akhir kegiatan juga menunjukkan hasil yang cukup memuaskan dengan nilai rata-rata 76. Selain itu, dari hasil kuisioner peserta sebagai bentuk umpan balik pelaksanaan kegiatan menunjukkan hasil yang baik. Dengan adanya kegiatan ini, PLC dapat dijadikan sebagai salah satu kegiatan ekstrakurikuler untuk meningkatkan kompetensi siswa SMAN 1 Jogorogo.
ANALISIS TERHADAP KEPUASAN PELANGGAN DENGAN METODE IMPORTANCE PERFORMANCE ANALYSIS PADA PERUSAHAAN LOGISTIK Marshella Kartika Laraswati; Yesica Novrita Devi; Adianto Adianto
Proceeding Maritime Business Management Conference MBMC: Proceeding Maritime Business Management Conference 2023
Publisher : Program Studi D4-Manajemen Bisnis, Jurusan Teknik Bangunan Kapal, Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33863/mbmc.v2i2 2985-379.2589

Abstract

Customer satisfaction is a comparison between the performance expected by the customer compared to the actual performance in the field. When the actual performance is higher than the customer's expectations, the customer feels satisfied and vice versa. In the case of logistics companies, customer satisfaction is one of the important factors in creating a good business climate, as an example of the case in logistics companies, which have not been maximal in satisfying customer desires. This study aims to analyze customer satisfaction with services at logistics companies, and determine the attributes attributes that need to be prioritized from the company to achieve customer satisfaction. Attributes of service quality are identified from indicators of customer satisfaction as expressed by Zeithmal et al, namely by TRREASE (Tangibles, Reliability, Responsiveness, Assurance, Empathy). The Importance Performance Analysis method at the suitability level compares the level of interest (expectation) with the level of service performance at the Company. The results of the study using the Importance Performance Analysis method for 25 service attributes of logistics companies obtained an average conformity level of 106%. Based on the Cartesian diagram, there are 10 attributes that have a high importance value for customers, but their performance is still unsatisfactory, each attribute is spread in quadrant A.
Sistem Diagnosis Kesehatan Manusia dan Monitoring Tanda Tanda Vital Manusia menggunakan metode Natural Language Processing berbasis Website Mujtaba Fa'akuli Zazila; Agus Khumaidi; Am Maisarah Disrinama; Mohammad Abu Jami’in; Adianto Adianto; Afif Zuhri Arfianto
Jurnal Ners Vol. 9 No. 1 (2025): JANUARI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i1.31213

Abstract

Rumah sakit merupakan fasilitas penting dalam masyarakat untuk memberikan pelayanan kesehatan yang efisien. Pada era modern ini, penting untuk memiliki rumah sakit yang efisien dalam pelayanan. Dalam penelitian ini, peneliti telah merancang sistem monitoring dan diagnosis kesehatan manusia berbasis website untuk mempercepat proses antrian di rumah sakit. Kesehatan seseorang bisa diidentifikasi dari beberapa tanda vital yang dimilikinya. Penggunaan Natural Language Processing (NLP) digunakan untuk klasifikasi penyakit dan pengambilan keputusan berdasarkan screening digital yang dilakukan oleh manusia dengan dukungan tanda-tanda vital hingga ke tahap validasi oleh expert judgement. Penelitian ini telah diuji menggunakan prototipe pada pergelangan tangan manusia di Poliklinik Politeknik Perkapalan Negeri Surabaya dengan pendampingan expert judgement. Terdapat 40 jenis gejala penyakit yang dimuat dalam website untuk 10 penyakit yang umum dalam diagnosis dalam kesehatan manusia. Hasil penelitian ini mendapatkan akurasi sebesar 91,6%. Dari inovasi tersebut maka peneliti mengharapkan bahwa prototipe ini dapat bermanfaat bagi Masyarakat, meningkatkan pelayanan rumah sakit, dan sebagai bentuk implementasi metode Natural Language Processing (NLP).
Multinode Maritime Emergency Communication System for Traditional Fishing Vessels in Indonesia Using Haversine-Based GPS Signaling Yuning Widiarti; Adianto Adianto; Purwidi Asri
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 3 (2026): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111685

Abstract

The lack of reliable and affordable emergency communication technologies often constrains maritime safety for traditional fishing vessels in Indonesia. This paper presents a multinode maritime emergency communication system that integrates Haversine-based GPS positioning with LoRa-enabled multi-hop networking. The proposed system provides automated SOS generation, adaptive routing based on vessel proximity, and real-time data visualization through a cloud-based monitoring dashboard for harbor authorities. The hardware architecture incorporates GPS, gyroscope, magnetometer, water level, and temperature sensors, as well as an ESP32 microcontroller, enabling low-power and long-range communication tailored for small-scale fisheries. Field experiments conducted with traditional fishing vessels validated the system’s performance, achieving 0% packet loss, a stable average RSSI of –90 dBm, and consistent end-to-end delays of 8–13 seconds across all multi-hop SOS transmissions. Compared with conventional single-hop LoRa deployments, the proposed framework enhances coverage, resilience, and adaptability in dynamic maritime environments. These results confirm the system’s feasibility as a cost-effective, energy-efficient, and scalable solution for improving safety and emergency response in traditional fishing operations.
Implementation of support vector machine on LVMDP panel with overheating protection system Annas Singgih Setiyoko; Dimas Pristovani Riananda; Adianto Adianto
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i4.pp1755-1766

Abstract

Electricity is a critical requirement in industrial operations, where the continuity and stability of power distribution directly affect safety and productivity. The low voltage main distribution panel (LVMDP) functions as the main node of electrical power distribution; however, conventional LVMDP systems generally lack intelligent protection mechanisms capable of detecting overheating-related fire hazards and initiating preventive action before failure occurs. This study proposes an intelligent monitoring and protection system for LVMDP panels that combines real-time multi-sensor monitoring, support vector machine (SVM)-based hazard classification, and an automatic shutdown mechanism. The main contribution of this work lies in the integration of predictive thermal risk detection with autonomous protective action, enabling the system not only to monitor panel conditions but also to respond immediately to hazardous states before they escalate into fire incidents. SVM was selected because of its strong capability to classify complex and nonlinear patterns from sensor data with high reliability. The developed system continuously evaluates panel conditions and triggers auto-shutdown when an overheating risk is identified, thereby improving preventive protection compared with conventional alarm-based monitoring systems. Experimental results show that the sensor measurements achieved error rates mostly below 5% compared with calibrated instruments, indicating good accuracy. In addition, the SVM model obtained an overall accuracy of 93%, with a macro-average F1-score of 92% and a weighted-average F1-score of 93%. These results demonstrate that the proposed system is effective for early detection and active protection of LVMDP panels against overheating hazards.
Co-Authors Agus Khumaidi Am Maisarah Disrinama Annas Singgih Setiyoko Arfianto, Afif Zuhri Asri, Purwidi Dimas Pristovani Riananda Ii Munadhif Marshella Kartika Laraswati Mohammad Abu Jami’in Muhammad Basuki Rahmat Mujtaba Fa'akuli Zazila Ryan Yudha Adistira Yesica Novrita Devi Yuning Widiarti