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Rancang Bangun Sistem Monitoring Iklim Kerja Berbasis IoT Menggunakan Kalman Filter untuk Mengurangi Noise Sensor Muhammad Khoirul Hasin; Moh. Andy Wiranata; Aulia Nadia Rachmat
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 7, No 2 (2022): November 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcit.v7i2.14386

Salah satu teknologi yang diperlukan untuk kepentingan kesehatan dan kinerja pekerja adalah sistem monitoring iklim kerja. Kondisi iklim kerja di tempat kerja dapat ditangani dengan pengendalian yang ditentukan setelah melakukan pengukuran iklim kerja. Tujuan dari pengukuran iklim kerja adalah untuk mengetahui Indeks Suhu Bola Basah (ISBB) di tempat kerja telah sesuai atau belum dengan standar yang telah ditetapkan. Standar yang dipakai dalam pengukuran iklim kerja adalah Keputusan Menteri Tenaga Kerja No. 51/1999 tentang NAB Faktor Fisika di Tempat Kerja. Sistem ini dibuat menggunakan esp8266 sebagai mikroprosesor, sensor suhu serta kelembaban yang digunakan untuk mendeteksi suhu dan kelembaban pada ruang kerja, serta wind speed sensor untuk memonitor kecepatan angin yang berhembus pada ruang kerja dan nilai dari sensor disimpan di database dan dimonitoring di website. Penelitian ini juga menggunakan metode Kalman Filter untuk mengurangi noise pada output sensor sehingga didapatkan nilai keluaran yang lebih stabil. Dari penelitian ini pengukuran pada pembacaan sensor anemometer memiliki rata-rata error sebesar 1.9% karena kurang stabilnya angin yang disalurkan ke sensor dan perbedaan jarak antara alat ukur master dengan alat ukur yang di uji coba. Pembacaan sensor DS18B20 memiliki rata- rata error sebesar 1,3% karena sensor ini digunakan untuk mengukur suhu udara basah memiliki spesifikasi yang berbeda dengan sensor yang ada di alat ukur eksisting. Pembacaan sensor DHT22 memiliki rata-rata error sebesar 0,3% untuk suhu dan 0% untuk kelembapan. Tujuan akhir dari penelitian ini adalah alat ukur iklim kerja berbasis Internet of Things yang dapat digunakan di kampus PPNS untuk menunjang project dari SIMK3. The monitoring system of work climate is one of the technologies indispensable for the benefit of the performance and health of workers. The conditions of work climate in the workplace can be handled with controlling determined after measuring the work climate. The purpose of measuring of the work climate is to determine whether the “Indeks Suhu Bola Basa” (ISBB) in the workplace is in accordance with the standard rules. The standard used in measuring the work climate is “Keputusan Menteri Tenaga Kerja No. 51/1999” on NAB of Physical Factors in the Workplace. This system is made using esp8266 as a microprocessor, temperature and humidity sensors to detect temperature and humidity in the workspace, and wind speed sensors to monitor the wind speed that blows in the workspace and the sensor values are stored in the database and monitored on the website. This study also uses the Kalman Filter method to reduce noise at the sensor output so that output value is obtainedmore stable. From this study, measurements on the anemometer sensor readings have an average error of 1.9% due to the less stable wind that is channeled to the sensor and the difference in distance between the master measuring instrument and the measuring instrument being tested. The DS18B20 sensor reading has an average error of 1.3% because this sensor is used to measure the temperature of wet air and has different specifications from the sensors in the existing measuring instrument. The DHT22 sensor reading has an average error of 0.3% for temperature and 0% for humidity. The ultimate goal of this research is an Internet of Things-based work climate measurement tool that can be used on the PPNS campus to support the SIMK3 project

REMOTE LABORATORY BERBASIS PROTOKOL VIRTUAL NETWORK COMPUTING SEBAGAI MEDIA PEMBELAJARAN JARAK JAUH PROGRAMMABLE LOGIC CONTROLLER Isa Rachman; Muhammad Khoirul Hasin; Ryan Yudha Adhitya; Mohammad Basuki Rahmat; Adianto Adianto; Agus Nurcahyo; Dewi Rizani Ruwahida
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

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.

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

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

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 Saâ€™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

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.

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

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.

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

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.

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
CSRID (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 | DOI: 10.22303/csrid-.15.3.2023.213-225

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

Integrasi Sistem ESP32 dengan Pemantauan Cuaca Menggunakan Sensor Meteorologi Prayoga, Yusma'el Khammi; Arfianto, Afif Zuhri; Riananda, Dimas Pristovani; Muhammad Khoirul Hasin; Adianto; Ryan Yudha Adhitya
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1149

This study proposes an ESP32-based system integration for real-time weather monitoring using meteorological sensors including wind speed, wind direction, and rainfall sensors. ESP32 is chosen as the main platform because of its capability in wireless communication (Wi-Fi and Bluetooth) and its efficiency in processing sensor data with low power consumption. This system combines meteorological sensors to measure wind speed, wind direction, and rainfall, which are then displayed directly on the Nextion screen. The collected data will be updated in real-time, providing easily accessible information. The purpose of this study is to develop an effective and integrated weather monitoring system. The test results show that this system can collect and display data accurately on Nextion, providing an efficient and practical weather monitoring solution.

Water Monitoring and Control System in Krofta System with Fuzzy Logic Method Ramadani, Yury Novian; Ryan Yudha Aditya; Ii Munadhif; Isa Rachman; Eng Imam Sutrisno; Muhammad Khoirul Hasin
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 1 (2025): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i1.660

Krofta is a water purification technology widely used in industries, particularly in paper and tissue manufacturing. In this study, a Fuzzy logic-based control method is applied to the input and output parameters of the system. The developed system utilizes a Sugeno Fuzzy system with three main inputs: TSS (Total Suspended Solids), pH, and temperature, and an output parameter in the form of PWM (Pulse Width Modulation) to control the booster pump for injecting chemicals to maintain water quality. The water purification process involves the injection of a chemical agent, specifically a fennopol solution, which is pumped by a booster pump. The booster pump is controlled by an AC Dimmer module driver based on the PWM output generated by the Fuzzy method. During this process, data from each parameter is recorded in real-time using a MySQL database and displayed via a web interface, with both components interconnected. Based on the research findings, the accuracy results for the sensors are as follows: the temperature sensor has an average error of 2.736%, the pH sensor has an average error of 1.742%, and the TSS sensor has an average error of 4.10%. For the PWM parameter, the system achieves highly accurate PWM values, effectively optimizing the tested water parameters. In conclusion, the Sugeno Fuzzy method demonstrates an average accuracy of 97.1% in monitoring and controlling the system to support decision-making processes.

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