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All Journal Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Journal of Computer, Electronic, and Telecommunication (COMPLETE) Journal of Applied Smart Electrical Network and System (JASENS) Bulletin of Community Engagement JPNM : Jurnal Pustaka Nusantara Multidisiplin Frontiers in Community Service and Empowerment International Journal of Mechanical, Electrical and Civil Engineering Jurnal Teknologi Maritim
Ii Munadhif
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Religion 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 Energy Engineering Mechanical Engineering Nursing Social Sciences Other

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The establishment of the Sea Turtle Conservation and Marine Pearl Educational Tourism Website in Sumbreng aims to promote ecosystem balance. Anggara Trisna Nugraha; Devina Puspita Sari; Galih Anindita; Edy Setiawan; Aminatus Sa'diyah; Purwidi Asri; Ni'matut Tamimah; Ii Munadhif; Ponti Almas Karamina; Syafiuddin; Suci Indaryani; Mukhammad Jamaludin; Muhammad Bilhaq Ashlah; Muhammad Izzul Haj; Diego Ilham Yoga Agna; Salsabila Ika Yuniza; Faris Riyadi; Fajar Rahmat Adzani; Andika Aldo Pratama; Rahmania Firdiansyah; Laili Agustin Widyaningrum
Frontiers in Community Service and Empowerment Vol. 3 No. 1 (2024): March
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v3i1.55

Abstract

The coast is an area that has potential for tourist attractions, including for turtle conservation which is relied on as a support for the economy. Turtles are one of the protected animals, not just protected by law because they are feared they will become extinct. The Turtle Conservation "Pearl of the Masaran Sea" which is located on Sumbreng Beach, East Java, is one of the turtle conservation areas developed by the Trenggalek Lentera Society. Activities carried out at the turtle conservation site "Pearl of the Masaran Sea" include relocating turtle eggs, caring for turtle eggs, combing eggs, and also releasing hatchlings. There are 5 types of turtles that are protected on Sumbreng beach, some of which are green turtles and hawksbill turtles which are included in the Appendix I category, which means they are prohibited from being traded internationally. Apart from visiting tourists being able to see the turtle breeding process, this conservation also provides economic tourism such as small Jeep facilities that are used to get around the beach and releasing hatchlings in certain months. However, due to lack of exposure to this conservation area. This resulted in a small number of tourists coming, and also some tourists coming in the wrong month and not being able to see the hatchlings being released onto the beach. Therefore, this service presents an innovation in the form of a website facility that is useful for updating all activities taking place at the "Pearl of the Masaran Sea" Turtle Conservation. So it can attract more tourists to visit this tourist attraction and tourists can also find out which months are effective for visiting this tourist attraction. It is hoped that the "Pearl of the Masaran Sea" turtle conservation will have the potential for educational tourism which can be developed further, so that it can support the economy of the surrounding community and can also be used as a source of income for managing the turtle conservation itself.
Peningkatan Keterampilan Teknik Siswa SMK Nasional Dawarblandong melalui Pembelajaran Berbasis Proyek dengan Pendekatan Otomasi pada Alat Pertanian Joessianto Eko Poetro; Agus Khumaidi; Imam Sutrisno; Ii Munadhif; Mochammad Rifai
Bulletin of Community Engagement Vol. 4 No. 2 (2024): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v4i2.1354

Abstract

This service aims to improve the technical skills of Dawarblan-dong National Vocational School students through project-based learning with an automation approach to agricultural equipment. The service method used is class action service. The service instruments used are observation, tests and interviews. The service subjects were 30 students of class XI Automotive Light Vehicle Engineering. Data were analyzed using descriptive statistics. The results of the service show that project-based learning with an automation approach to agricultural equipment can significantly improve the technical skills of Dawarblandong National Vocational School students. This is proven by the increase in student test scores from an average of 65.00 to 80.00 after taking part in the learning. Apart from that, the results of observations show that students become more active and creative in learning. Students are also more motivated to learn and complete projects. The results of the interviews showed that students felt happy and challenged by project-based learning with an automation approach to agricultural equipment. Project-based learning with an automation approach to agricultural tools can be an effective learning alternative for improving the technical skills of Dawarblan-dong National Vocational School students. This learning can improve students' knowledge, skills and attitudes in the field of engineering.
Development of a Prototype System for Monitoring and Controlling Apple Cider Vinegar Fermentation Using IoT-Based Fuzzy Methods Hannisa Kautsarani Hamidah; Agus Khumaidi; Ii Munadhif; Ryan Yudha Adhitya
International Journal of Mechanical, Electrical and Civil Engineering Vol. 1 No. 3 (2024): July : International Journal of Mechanical, Electrical and Civil Engineering
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmecie.v1i3.35

Abstract

The apple cider vinegar fermentation process requires careful monitoring and control of variables such as pH, alcohol content, and amount of acetic acid. This research adopts Fuzzy Logic Control by utilizing the MQTT communication protocol, pH, alcohol and water pump sensors, as well as solenoid valves and DC motors as actuators. This Internet of Things (IoT) based solution provides real-time monitoring information on the fermentation process. The results showed that the test system succeeded in maintaining a stable pH of around 3.9-4.0 during the initial stages of fermentation, while industrial data showed greater variations. Alcohol content increased consistently in the test system, in contrast to the spike on day 7 in industry data. At the formulation stage, the pH dropped to 3.68 in the test system, while the industry maintained 3.70. At medium and slow mixing stages, the test system showed a significant decrease in pH and a consistent increase in alcohol. At the harvest stage, the pH was lower in the test system compared to industrial, with slightly higher alcohol content. Test results show that the implementation of this system can reduce the fermentation process time by up to 2 days faster compared to conventional methods. This conclusion shows that IoT-based systems are able to provide better control and monitoring than conventional systems, so they have great potential for wider adoption in the apple vinegar fermentation industry to increase production effectiveness.
Deteksi Anomali Jalur Pelayaran Alur Laut Kepulauan Indonesia II (ALKI II) Berbasis Data AIS dengan Mean Fullstack Application Abdullah Fiqru Siech; Afif Zuhri Arifianto; Mohammad Khoirul Hasin; Ryan Yudha Adhitya; Ii Munadhif; Mustika Kurnia Mayang Sari
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 3 No. 2 (2025): July : Jurnal Pustaka Nusantara Multidisiplin
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v3i2.463

Abstract

Pengelolaan lalu lintas maritim yang efektif menjadi tantangan penting dalam dunia modern, terutama dengan meningkatnya volume transportasi laut yang membutuhkan sistem navigasi yang aman dan efisien. Automatic Identification System (AIS) berperan penting dalam memantau pergerakan kapal, namun kemampuan sistem ini dalam mendeteksi perilaku anomali dan mengelola zona geografis tertentu masih terbatas. Jurnal ini bertujuan untuk mengembangkan sistem AIS berbasis teknologi Geovience dan Anomaly Detection dengan memanfaatkan kerangka kerja Angular pada front-end dan Node.js Express TypeScript pada back-end. Sistem ini dirancang untuk memproses data AIS yang diterima dalam format NMEA dari port maritim, yang kemudian didekode dan disimpan ke dalam basis data MongoDB. Teknologi geovience digunakan untuk menentukan zona navigasi yang aman, sementara deteksi anomali berbasis aturan diterapkan untuk mengidentifikasi aktivitas kapal yang tidak wajar, seperti pelanggaran rute atau kecepatan melebihi ambang batas. Hasil pemrosesan data divisualisasikan melalui antarmuka berbasis peta interaktif yang memungkinkan operator memantau lalu lintas kapal secara real-time dan menerima notifikasi terkait anomali. Pengembangan sistem ini mencakup beberapa langkah utama, mulai dari pemrosesan data AIS, implementasi geovience, pengembangan algoritma anomaly detection, hingga integrasi komponen back-end dan front-end. Hasil akhir dari tugas akhir ini adalah sebuah sistem yang mampu memberikan solusi terpadu untuk mendukung efisiensi dan keamanan navigasi maritim, dengan potensi aplikasi lebih lanjut pada pengelolaan wilayah perairan skala besar.
Perbandingan Metode Adaptive Neuro-Fuzzy Inference System dan Support Vector Regression dalam Prediksi Waktu Pemeliharaan pada Mesin E-Fill Ii Munadhif; Deni Almunawar; Ryan Yudha Adhitya
Jurnal Teknologi Maritim Vol. 7 No. 2 (2024): Jurnal Teknologi Maritim
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/jtm.v7i2.31

Abstract

Penelitian ini bertujuan membandingkan kinerja metode Adaptive NeuroFuzzy Inference System (ANFIS) dan Support Vector Regression (SVR) dalam memprediksi waktu pemeliharaan yang optimal pada mesin pengisian cairan otomatis atau yang biasa disebut mesin e-fill. Mesin e-fill banyak digunakan oleh industri produsen untuk mengemas produk cairan mereka ke dalam kemasan botol. Mesin ini sering mengalami kerusakan yang dapat mengganggu proses produksi dan menimbulkan kerugian bagi perusahaan. Oleh karena itu, prediksi waktu pemeliharaan yang tepat sangat penting agar perusahaan dapat mempersiapkan dana dan antisipasi sebelum terjadi kerusakan yang lebih parah. Penelitian ini mengumpulkan data historis parameter operasional mesin e-fill seperti performance, quality, dan availability. Data tersebut kemudian dibagi menjadi data latih dan data uji. Data latih digunakan untuk melatih model prediksi ANFIS dan SVR agar dapat memprediksi waktu pemeliharaan mesin. Data uji digunakan untuk mengevaluasi akurasi prediksi dari kedua model. Model ANFIS dilatih dengan menyesuaikan parameter-parameternya agar sesuai dengan pola pada data latih. Model SVR juga dilatih dengan data latih agar parameternya dapat mengenali pola data. Kinerja kedua model dievaluasi dengan metrik RMSE pada data uji. Metode Support Vector Regression (SVR) memiliki rata-rata Accuracy yang lebih tinggi, yaitu 91,67%, dibandingkan dengan metode Adaptive Neuro-Fuzzy Inference System (ANFIS) yang memiliki rata-rata Accuracy sebesar 68,33%. Hal ini menunjukkan bahwa SVR lebih akurat dalam memprediksi waktu pemeliharaan pada mesin e-fill di berbagai tingkat RPM.
the Estimation of State of Charge for 4S2P Lithium-Ion Battery Using Kalman Filter and Coulomb Counting Tiara Erly Syah Putri; Mat Syai’in; Ii Munadhif
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.v6i01.1166

Abstract

State of Charge (SoC) estimation is crucial for the performance and safety of Battery Management Systems (BMS). This study evaluates and compares two SoC estimation methods—Kalman Filter and Coulomb Counting—based on numerical simulation of a 4S2P lithium-ion battery charging process using MATLAB. The methods are assessed using statistical metrics: RMSE, MAE, MAPE, and R², and are compared against both current-based reference calculations and normalized actual voltage. Kalman Filter consistently demonstrates superior performance, achieving lower RMSE (0.00067) and MAE (0.00045) against SoC reference, and RMSE (0.0376), MAE (0.0312), R² (0.978) against voltage reference. In contrast, Coulomb Counting shows increased error accumulation and lower correlation with system behavior. This confirms Kalman Filter's robustness in dynamic conditions, owing to its real-time correction mechanism and noise tolerance. The study highlights Kalman Filter as a more accurate and reliable method for modern BMS applications. Recommendations for future development include real-world testing and hybrid algorithm implementation.
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

Abstract

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.
Kontrol Kecepatan Motor Pada Prototype Lift Barang Berdasarkan Berat Beban Menggunakan Metode PID Masitah, Dewi Ayu; II Munadhif; Adianto; Noorman Rinanto; Ryan Yudha Adhitya; Khoirul Hasin
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5189

Abstract

Penelitian ini dipicu oleh masalah yang sering terjadi pada lift barang di industri tertentu, di mana lift sering mengalami error dan berhenti tiba-tiba. Penyebab utamanya adalah kelebihan beban yang menyebabkan Overload, mengakibatkan putaran motor menjadi tidak stabil. Oleh karena itu, tujuan utama penelitian ini adalah mendeteksi jumlah beban dan memberikan batasan beban agar kapasitas angkut tetap dalam batas maksimum yang aman, mencegah terjadinya kelebihan beban yang dapat merusak motor. Selain itu, penelitian ini juga bertujuan untuk mengstabilkan kecepatan motor dengan mengimplementasikan metode PID sebagai pengontrol kecepatan. Solusi yang diajukan melibatkan pembuatan prototype lift barang dengan penambahan sensor loadcell sebagai detektor berat dan pembatas beban. Metode PID akan diterapkan sebagai pengontrol kecepatan motor, memastikan agar lift dapat beroperasi dengan kecepatan yang stabil. Dengan integrasi sensor loadcell dan metode PID, diharapkan sistem dapat secara efektif mendeteksi jumlah beban, memberikan batasan beban, dan menjaga kecepatan motor agar tetap stabil. Hal ini diharapkan dapat mengurangi risiko kelebihan beban yang dapat menyebabkan lift berhenti mendadak, meningkatkan keamanan dan kinerja lift barang secara keseluruhan.
Rekonstruksi 3D Berbasis LiDAR TF Mini Plus Zindhu Maulana Ahmad Putra; DANIA KIKI SANDIYA; Ryan Yudha Adhitya; Mat Syai’in; Rachmad Tri Soelistijono; Boedi Herijono; Ii Munadhif; Samudra Rozzak Arrachman; Achmad Nawawi
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5208

Abstract

Rekonstruksi 3D adalah teknik membentuk objek tiga dimensi dari bentuk aslinya di dunia nyata untuk divisualisasikan di komputer. Awalnya, proses ini dilakukan secara manual dengan pengukuran langsung, namun rentan terhadap kesalahan karena ketidakakuratan pengukuran. Dalam penelitian ini, sistem rekonstruksi 3D menggunakan teknologi digital dengan sensor LiDAR TF-Mini Plus. Sensor LiDAR menggunakan pulsa laser untuk mengukur jarak ke objek dan menghasilkan data point-clouds yang merepresentasikan permukaan objek. Sensor ini digerakkan oleh dua motor, yaitu motor servo untuk rotasi pitch dan motor stepper untuk rotasi yaw, memungkinkan cakupan penuh objek dan rekonstruksi yang lebih rinci. Pengujian menunjukkan bahwa sistem ini mampu menghasilkan rekonstruksi 3D yang sangat akurat dengan detail tinggi. Data point-clouds yang dikumpulkan oleh sensor LiDAR merepresentasikan bentuk asli tangki dengan presisi, termasuk lekukan dan kontur secara jelas. Hal ini membuktikan efektivitas sistem dalam menciptakan model 3D yang berguna untuk berbagai analisis dan visualisasi.
Pemodelan kinematika four wheel swerve drive menggunakan pendekatan geometri dan trigonometri Rohmansyah, Ade Fitra; Noorman Rinanto; Ryan Yudha Adhitya; Ii Munadhif; Isa Rachman; Muhammad Khoirul Hasin; Agus Khumaidi; Zindhu Maulana Ahmad Putra
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5293

Abstract

Robotics has undergone a significant transformation and has become one of the most amazing fields of technology in the 21st century, such as wheeled robots. One mechanism that can make wheeled robots move quickly is a swerve drive. Swerve drive is an omnidirectional drivetrain in which all wheels are steered and driven independently. In order to get maximum results when using the swerve drive mechanism, kinematic modeling is needed so that all wheels can be integrated and create fast robot movements that can maneuver well. Kinematic modeling on robots functions to simplify the input given to the robot and maximize the output from each motor. The method that can be used to obtain kinematic modeling of the four-wheel swerve drive mechanism is by taking a geometric and trigonometric approach. The geometric and trigonometric approaches are very suitable to be applied to modeling the kinematics of robots, which have basic spatial and triangular relationships based on the description of vectors between their forces. The results of the tests that have been carried out show that kinematics can make the robot move effectively by simplifying the input given, but still with maximum output. The kinematics for the four-wheel swerve drive have a good system response with a geometric and trigonometric approach.
Co-Authors Abdullah Fiqru Siech Abu Jami’in Achmad Nawawi Adianto Afif Zuhri Arifianto Agus Khumaidi Agus Khumaidi Ahmad Putra Aminatus Sa’diyah Andika Aldo Pratama Anggara Trisna Nugraha Arfianto, Afif Zuhri Asri, Purwidi Aulia Rahma Annisa Boedi Herijono DANIA KIKI SANDIYA Deni Almunawar Devina Puspita Sari Didik Sukoco Diego Ilham Yoga Agna Dimas Pristovani Riananda Dwi Rizky Anto Edy Setiawan Eng Imam Sutrisno Fajar Rahmat Adzani Faris Riyadi Galih Anindita Hannisa Kautsarani Hamidah Hasin, Muhammad Khoirul Imam Sutrisno Isa Rachman Joessianto Eko Poetro Joko Endrasmono Laili Agustin Widyaningrum Masitah, Dewi Ayu Mat Syai’in Mochammad Rifai Muhammad Bilhaq Ashlah Muhammad Dzi Washfil Hasin Muhammad Izzul Haj Mukhammad Jamaludin Mustika Kurnia Mayang Sari Naufal Hibban, Naufal Hibban Ni'matut Tamimah Pingky, Ginda Pingky Ramadhani Ponti Almas Karamina Putra, Zindhu Maulana Ahmad Rahmania Firdiansyah Ramadani, Yury Novian Rinanto, Noorman Rohmansyah, Ade Fitra Ryan Yudha Adhitya Ryan Yudha Aditya Salsabila Ika Yuniza Samudra Rozzak Arrachman Soelistijono, Rachmad Tri Suci Indaryani Suwandi, Donny Aryo Seno Syafiuddin Tegar, Gandhi Achmad Tegar Prakasa Tiara Erly Syah Putri Widya Primaswari Putri1 Zindhu Maulana Ahmad Putra