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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Teknologi Informasi dan Ilmu Komputer SISFOTENIKA IJCIT (Indonesian Journal on Computer and Information Technology) IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Pendidikan Bahasa dan Sastra Indonesia Metalingua TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Journal of Applied Sciences and Advanced Technology INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) JTEIN: Jurnal Teknik Elektro Indonesia Journal of Computer, Electronic, and Telecommunication (COMPLETE) Journal of Applied Smart Electrical Network and System (JASENS) Journal of Soft Computing Exploration Indonesian Journal of Engineering Research Joutica : Journal of Informatic Unisla Procedia of Social Sciences and Humanities E-JRM JPNM : Jurnal Pustaka Nusantara Multidisiplin Jurnal 7 Samudra Politeknik Pelayaran Surabaya Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Journal of Safety, Health, and Environmental Engineering Jurnal Teknologi Maritim CSRID Jurnal Cakrawala Maritim SISFOTENIKA Proceeding Maritime Business Management Conference
Hasin, Muhammad Khoirul
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Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Transportation

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KOMUNIKASI DATA BLUETOOTH UNTUK PERANGKAT INFORMASI PERSEBARAN IKAN (PORTABLE VIRTUAL ASSISTANT) PADA KAPAL NELAYAN TRADISIONAL Trio Andika Putra; Afif Zuhri Arfianto; Mohammad Basuki Rahmat; Muhammad Khoirul Hasin; Dian Asa Utari; Muhamad Nasir; Dody Hidayat
Jurnal Teknologi Maritim Vol 1 No 2 (2018): Jurnal Teknologi Maritim
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M) - PPNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/jtm.v1i2.828

Abstract

Informasi mengenai data persebaran ikan merupakan informasi yang sangat berguna untuk nelayan dalam menemukan lokasi persebaran ikan. Informasi tersebut dikeluarkan oleh Balai Riset dan Observasi Laut dari kementrian Kelautan yang berupa data lokasi latitude dan longitude. Layanan ini berupa peta digital, peta tersebut kita kenal dengan Peta Perkiraan Daerah Penangkapan Ikan (PPDPI). Pada kenyataannya masih banyak nelayan yang kurang memanfaatkan informasi tersebut yang menyebabkan hasil tangkap ikan oleh nelayan kurang maksimal. Penelitian ini membuat prototipe perangkat portabel navigasi untuk menemukan lokasi sebaran ikan. Prototipe bekerja berdasarkan data informasi yang berupa data latitude dan longitude dari Balai Riset dan Observasi Laut. Dengan memasukan data persebaran ikan maka jarak lokasi dan arah lokasi target dapat diketahui. Data informasi dapat dimasukkan kedalam prototipe navigasi dengan menggunakan komunikasi bluetooth yang kemudian data tersebut diolah oleh mikrokontroller. Sensor yang digunakan dalam perangkat adalah sensor GPS dan sensor kompas. Hasil penelitian didapatkan prototipe navigasi dapat menghitung jarak lokasi tujuan terhadap lokasi awal dengan tingkat keberhasilan sebesar 99.404106% dan pengukuran sudut target lokasi tujuan dengan tingkat keberhasilan sebesar 99.0271%.
Pengiriman Data Realtime PLC ke ERP Odoo dengan Dilengkapi Analisa OEE Fiqrotin Nur Asita; Muhammad Khoirul Hasin; Zindhu Maulana Ahmad Putra; Ryan Yudha Adhitya; Imam Sutrisno
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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

Abstract

With the integration of IT (Information Technology) and OT (Operational Technology), the data generated by the OT system can be easily processed and analyzed using the IT system, thereby synergistically increasing the efficiency and productivity of the company. In addition, to maximize machine performance, the Overall Equipment Effectiveness (OEE) method can be applied to monitor production results. Therefore, the authors designed an integration system based on a software connector to connect the Programmable Logic Controller (PLC) with Enterprise Resources Planning (ERP) Odoo. This system facilitates three communication protocols, namely Modbus TCP/IP, Ethernet/IP, and Profinet. As proof of the success of the connector software, a bottle-sorting plant controlled by PLC was made. The data from the plant is acquired by the connector software and sent in real-time to ERP Odoo. In ERP Odoo, an analysis is carried out through manufacturing modules that are custom-made by applying the OEE method as a step in monitoring the production process. Through research conducted, this integration system has been successfully designed and implemented in a bottle-sorting plant. The results of a comparison between manual OEE calculations and OEE calculations in ERP Odoo found an error of 0.161%. Thus, the IT and OT integration system created has been successful and has made the production process more efficient and has provided significant benefits to the company
SOSIALISASI METODE PENGAMBILAN TITIK KOORDINAT SISWA BERBASIS OPEN CAMERA DAN GOOGLE MAPS Nancy Nurinasari; Muhammad Khoirul Hasin; Sheilla Nurlailly Insani; Chikita Anisa Poerestika; Laili Ayu Sa’diah; Denny Oktavina Radianto; Afif Zuhri Arfianto; Renanda Nia Rachmadita
Jurnal Cakrawala Maritim Vol 2 No 1 (2019): Jurnal Cakrawala Maritim
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M) - PPNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33863/cakrawalamaritim.v2i1.910

Abstract

Di setiap tahun pelajaran baru setiap lembaga pendidikan melaksanakan Penerimaan Peserta Didik Baru (PPDB). Salah satu sistem baru PPDB yang di mulai sejak tahun 2017 oleh Kementerian Pendidikan dan Kebudayaan yaitu sistem zonasi. Sistem zonasi mengharuskan sekolah negeri untuk memberi kesempatan yang lebih besar kepada siswa yang rumahnya dekat dengan sekolah untuk diterima di sekolah tersebut. Hal ini bertujuan untuk pemerataan pendidikan yang berkualitas. Dalam sistem zonasi pemeringkatan siswa yang diterima berdasarkan jarak rumah siswa dengan sekolah tujuannya. Untuk mengetahui jarak rumah siswa dan sekolahnya diperlukan titik koordinat rumah siswa. Untuk itu diperlukan kegiatan sosialisasi kepada para guru dan orang tua tentang metode pengambilan koordinat rumah siswa. Sosialisasi dilakukan dengan materi bagaimana cara menentukan titik koordinat rumah siswa dengan melalui Google Maps atau dengan menggunakan aplikasi Open Camera. Kegiatan ini dilakukan di Kabupaten Mojokerto. Secara demografis Kabupaten Mojokerto terdiri dari tiga tipe wilayah yaitu urban, sub-urban, dan rural. Dalam sosialisasi ini, untuk daerah urban dan sub-urban direkomendasikan menggunakan Open Camera dan Google Maps. Namun untuk daerah rural disarankan menggunakan Open Camera. Hal ini dikarenakan pada daerah urban dan sub-urban masyarakatnya memiliki tingkat penguasaan teknologi informasi dan komunikasi serta infrastruktur akses internet yang baik dibandingkan dengan daerah rural.
REMOTE LABORATORY BERBASIS PROTOKOL VIRTUAL NETWORK COMPUTING SEBAGAI MEDIA PEMBELAJARAN JARAK JAUH PROGRAMMABLE LOGIC CONTROLLER Rachman, Isa; Hasin, Muhammad Khoirul; Adhitya, Ryan Yudha; Rahmat, Mohammad Basuki; Adianto, Adianto; Nurcahyo, Agus; Ruwahida, Dewi Rizani
TEKTRIKA Vol 8 No 1 (2023): TEKTRIKA Vol.8 No.1 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i1.6044

Abstract

One effective method that can be applied to online practical learning during the COVID-19 pandemic is remote laboratory which is a combination of the real world and the virtual world using the internet network. This research aims to design remote laboratory based on the Virtual Network Computing (VNC) on Programmable Logic Controller (PLC) which is one of the regular practical devices used in Industrial Automation Laboratory. Remote laboratory in the form of a remote laboratory website for administrators consisting of user management and course management; and for users it consists of login, course and schedule, user order and remote desktop containing PLC Trainer, XG5000 and camera. From the results of remote laboratory testing starting from registration, remote laboratory website, login, course selection, suitability of course schedules, user order and remote desktop can be accessed so that the designed remote laboratory can work properly. The existence of a delay time of 0,52–1,73 seconds for the results of shooting by the camera as a display visualization for online monitoring of practice activities in the laboratory on the client computer is influenced by the condition of the internet network used mainly on server computers. Key Words: practice, online, remote, laboratory, VNC, PLC.
Flood Detection Using Backpropagation Neural Network Method Ani Dwi Ratnasari; Hasin, Khoirul; Subagio Soim; Setiawan, Bambang Teguh; Afif Zuhri Arfianto
Indonesian Journal of Engineering Research Vol 3 No 1 (2022): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijer.v3i1.40

Abstract

Lack of river and watershed management will cause problems and disasters. One of it is the flood that can cause physical, social and economic loss. So countermeasures or flood anticipation are needed by using the Early Warning System (EWS) to provide early information if a flood is going to occur. This study uses five input indicators: temperature, humidity, water discharge, water surface altitude and rainfall data that will produce output in the form of notifications and alarms for the Early Warning System (EWS). Then the input and output data configuration will be processed using a Backpropagation Neural Network. Data used is data recorded in real-time on the research object for two weeks with the composition of training and testing data with a percentage of 80% and 20%. The best backpropagation neural network model used has the input of 5 neurons layer architecture, 15 neurons as the hidden layer and three neurons as the output layer. The flood prediction result uses the Backpropagation Neural Network method, has an RMSE score performance of 2.16e-21 and a percentage success testing system of 91.33%. It shows that the model has an excellent accuracy level.
Development of Fish Distribution Information System for Digital Virtual Assitant based on Harvesine with LoRA Node Dwi Sasmita Aji Pambudi; Afif Zuhri Arfianto; Muhammad Khoirul Hasin; Dimas Pritovani Riananda
Indonesian Journal of Engineering Research Vol 4 No 2 (2023): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijer.v4i2.48

Abstract

The pressing issue of suboptimal and inefficient traditional fishing practices among local communities. Traditional fishermen often operate with inadequate equipment, resulting in less-than-optimal fishing outcomes. In this context, the lack of modern tools and techniques hinders the effectiveness of fish capture. Addressing these challenges is crucial for enhancing the productivity and sustainability of traditional fishing practices. The study aims to develop an advanced Fish Distribution Information System tailored for a Digital Virtual Assistant using the Haversine method and LoRA nodes. This system provide instantaneous, location-specific details about fish distribution and involves designing a data logger serving as repository for travel histories, utilizing a website as the user interface interfacing with a Leaflet map in a Geographic Information System (GIS). The Haversine method is employed for precise distance computations between LoRA Gateway, information about fish distribution, and unfavorable weather conditions within the specified area. the resukt show that The distance displayed on the website with the haversine method with excel calculation comparison produces an error calculation of 0.157%, while the percentage error for GPS latitude accuracy is 0.000116% and longitude percentage is 0.000002%. RSSI performance at LoRA ranges from -57dBM at a distance of 50m and -121dBM at a distance of 1500m.
Enhancing Fishing Efficiency with Geographic Information System and Optimized Methods Santosa, Anisa Fitri; Arfianto , Afif Zuhri; Hasin, Muhammad Khoirul; Sutrisno, Imam; Sukoco, Didik; Riananda, Dimas Pristovani
IT Journal Research and Development Vol. 9 No. 1 (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2024.13859

Abstract

Traditional fishing techniques frequently lack efficiency and optimization, resulting in fishermen obtaining unsatisfactory yields. This study presents a novel approach by incorporating Geographic Information System (GIS) technology, notably utilizing Leaflet, to improve fishing techniques. The suggested system incorporates a LoRa node tool that logs the journeys of fishermen, offering comprehensive itineraries and data on the distribution of fish and unfavorable weather conditions. Notable outcomes were attained by employing the haversine approach to compute distances between the LoRa Gateway and different data points. The approach exhibited a negligible error margin of 0.157% in contrast to the calculations performed in Excel. In addition, the GPS accuracy testing produced remarkable results, with latitude and longitude errors of 0.000116% and 0.000002%, respectively. The LoRa system demonstrated a range of RSSI performance, with values ranging from -57 dBM at 50 meters to -121 dBM at 1500 meters. This range of performance guarantees dependable transmission of data over significant distances. The findings underscore the GIS-based strategy's efficacy in enhancing the effectiveness and precision of conventional fishing methods, presenting a promising technical improvement for the fishing sector.
Implementation of integrated temperature, humidity, and dust monitoring system on building electrical panel Khumaidi, Agus; Hasin, Muhammad Khoirul; Pujiputra, Anggarjuna Puncak; Irsyad, Sholahuddin Muhammad; Rinanto, Noorman; Rachman, Isa; Budi, Perdinan Setia; Malik, Alfianto Taufiqul; Bayu, Nurissabiqoh Binta
Journal of Soft Computing Exploration Vol. 5 No. 4 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i4.483

Abstract

This research aims to develop and implement an electrical power monitoring system at the Sub Sub Distribution Panel (SSDP) in the Building. The system is designed to monitor power usage in real-time, provide accurate information on energy consumption, and detect potential energy waste. The methodology used includes hardware and software design. The hardware consists of current and voltage sensors connected to a microcontroller. The data collected by the sensors is then transmitted via Wi-Fi network to the server for analysis. The software uses an Internet of Things (IoT) platform that displays the data in the form of graphs and tables. The implementation shows that the system is capable of monitoring power usage with a high degree of accuracy. The sensors used, namely PM2100 for voltage, SHT20 for temperature and humidity, and GP2Y101AU0F for dust concentration, proved effective in generating accurate real-time data. Based on the test results, the voltage measurement error with the PM2100 was only 0.035%, while the current measurement resulted in an error of 0.48%. The SHT20 sensor recorded an error of 2.4% for temperature and 1.0% for humidity. Dust measurements with the GP2Y101AU0F sensor had a very small error of 0.02%. These results indicate that the tested device has a sufficient level of precision for electrical power and environmental monitoring applications.
IMPLEMENTASI CHECKSUM UNTUK KEANDALAN DATA DALAM PESAN AIS UNTUK PENGEMBANGAN SISTEM PREDIKSI DAERAH PENANGKAPAN IKAN MUHAMMAD NIAL ALANUS SHOLAH; Imam Sutrisno; Afif Zuhri Arfianto; Dimas Pristovani Riananda; Muhammad Khoirul Hasin; Basuki Rahmat
Jurnal 7 Samudra Vol. 9 No. 2 (2024): Jurnal 7 Samudra
Publisher : PPPM - POLITEKNIK PELAYARAN SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54992/7samudra.v9i2.186

Abstract

Penelitian ini membahas implementasi checksum untuk keandalan data dalam transmisi pesan AIS (Automatic Identification System) untuk pengembangan sistem prediksi daerah penangkapan ikan. Tujuan utama penelitian ini adalah untuk memastikan integritas data yang dikirimkan melalui AIS dengan menggunakan metode perhitungan checksum berbasis operasi XOR. Metode penelitian yang digunakan meliputi pengumpulan data, analisis perhitungan checksum, dan validasi data melalui pengujian di laboratorium. Hasil penelitian menunjukkan bahwa penggunaan checksum berbasis XOR efektif dalam mendeteksi kesalahan selama transmisi data AIS. Dengan penerapan checksum ini, data yang diterima dapat diverifikasi keakuratannya, sehingga mengurangi risiko kesalahan dan kerusakan data selama transmisi. Penelitian ini juga mengidentifikasi bahwa panjang pesan AIS mempengaruhi nilai checksum yang dihasilkan, yang penting untuk memastikan integritas data dalam berbagai kondisi transmisi.
Implementation OEE in Integrating Siemens S7-1200 Data with Odoo ERP Muhammad Rafi Solakhudin; Muhammad Khoirul Hasin; Ii Munadhif
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4491

Abstract

The integration of perational Technology (OT) and Information Technology (IT) is crucial for enterprise-level decision-making regarding company effectiveness and productivity. This integration is achieved by developing an integrator system in the form of an API service, which facilitates the connection between Programmable Logic Controller (PLC) and Odoo Enterprise Resource Planning (ERP). Integration allows IT systems synergize with OT systems to processing data obtained from the performance of industrial machines. Analysis was conducted using the Overall Equipment Effectiveness (OEE) method to monitor the company’s production outcomes. A prototype sorting system with PLC for controlling was created as an OEE implementation. The API service acquires data from the plant and performs preliminary analysis in Odoo ERP. The analysis in Odoo ERP is conducted through the development of a manufacturing module that applies the OEE method calculations to monitor the effectiveness and efficiency of production procces. Once the calculation result is obtained, these data are monitored on Grafana in the form of pie charts and graphs. This research yielded insight into the design and implementation of an integration system for the bottle sorting process. The result also could be monitored in real-time using Odoo ERP and Grafana. Furthermore, the OEE analysis was matched with manual calculations in order to ensure its validity. Thus, this research enables the production process to be optimized and provides significant benefits to the company.
Co-Authors A Aminudin A S Setiyoko Abdul Kodir Djaelani Abdullah Fiqru Siech ABS, M Khoirul Adam Maulana, Adam Maulana Adhitya, Ryan Yudha Adi, Muhammad Adimassyah Adianto Adianto Adianto Adianto Adianto Afif Zuhri Afif Zuhri Arfianto Afif Zuhri Arifianto Agus Khumaidi Agus Khumaidi Agus Nurcahyo Akmal, Revanza Akmal Pradipta Alfianto Taufiqul Malik Anggarjuna Puncak Pujiputra Ani Dwi Ratnasari Aqshal Ilham Fadhillah Ardhan, Mohammad Ardhan Fawwaz Arfianto , Afif Zuhri Arfianto, Afif Zuhri Arie Indartono Arninputranto, Wibowo Asri, Purwidi Aulia Nadia Rachmat Bambang Teguh Setiawan Basuki Rahmat Bayu, Nurissabiqoh Binta Budi, Perdinan Setia C R Handoko C. I. Sutrisno Chikita Anisa Poerestika D A Utari Dewi Kurniasih Dewi Rizani Ruwahida Dian Asa Utari Dian Asa Utari Didi, Perdinan Setia Budi Didik Sukoco Dika Rahayu Widiana Dimas Pristovani Riananda Dimas Pritovani Riananda Dody Hidayat Dwi Sasmita Aji Pambudi Edy Prasetyo Hidayat Edy Setiawan Eng Imam Sutrisno Fiqrotin Nur Asita Fiqrotin Nur Asita Fitri Hardiyanti Gusti Audryadmaja, Anugerah Ekha H A Widodo Ihsania, Tsabita Ii Munadhif Ii Munadhif Ii'Munadhif Imam Sutrisno Isa Rachman Isa Rachman Joko Endrasmono Laili Ayu Sa’diah Lilik Subiyanto M B Rahmat Malik, Alfianto Taufiqul Masitah, Dewi Ayu Mat Syai'in Mat Syai'in Miftachudin Miftachudin Moh. Andy Wiranata Mohammad Abu Jami’in Mohammad Basuki Rahmad Mohammad Basuki Rahmat Mohammad Basuki Rahmat Mohammad Basuki Rahmat, Mohammad Basuki Muhamad Nasir MUHAMMAD NIAL ALANUS SHOLAH Muhammad Rafi Solakhudin Mustika Kurnia Mayang Sari Nancy Nurinasari Nurcahyo, Agus Nurissabiqoh Binta Bayu Prayoga, Yusma'el Khammi Pujiputra, Anggarjuna Puncak Purwoko, Ageng Rochmad Joko Putri Nur Rahayu Radianto, Denny Oktavina Rahmat, M. Basuki Ramadani, Yury Novian Ramadhan, Novalliansyah Ramadhan Renanda Nia Rachmadita Riananda, Dimas Pristovani Richo Richo Richo, Richo Rinanto, Noorman Rizal Indrawan Rohmansyah, Ade Fitra Ruwahida, Dewi Rizani Ryan Yudha Adhitya Ryan Yudha Adhitya Ryan Yudha Aditya Sa'diyah, Aminatus Santosa, Anisa Fitri Sheilla Nurlailly Insani Sholahuddin Muhammad Irsyad Siti Zaenab, Siti Zaenab Subagio Soim Syai’in, Mat Tabah Uji Antoro Trio Andika Putra Ulya, A. Arif Zuchal Urip Mudjiono, Urip Wardana, Raditya Prabaswara Widya Primaswari Putri1 Yesica Novrita Devi Yudha Adhitya, Ryan Yuning Widiarti Zindhu Maulana Ahmad Putra