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Contact Name
Made Andik Setiawan
Contact Email
made.andik.s@gmail.com
Phone
+6281394202380
Journal Mail Official
polman@polman-babel.ac.id
Editorial Address
d/a Politeknik Manufaktur Negeri Bangka Belitung Jln. Timah Raya, Kompleks Industri Air Kantung, Sungailiat, Bangka 33211
Location
Kab. bangka,
Kepulauan bangka belitung
INDONESIA
Prosiding Seminar Nasional Inovasi Teknologi Terapan
ISSN : -     EISSN : 30249538     DOI : -
Seminar Nasional Inovasi Teknologi Terapan (SNITT) dikelola oleh Politeknik Manufaktur Negeri Bangka Belitung sebagai wadah rutin bagi sivitas akademika dalam berbagi pengetahuan, temuan, dan pengalaman dalam hal inovasi teknologi terapan yang berkelanjutan. SNITT ini merupakan ajang seminar ilmiah mengundang para sivitas akademika untuk ikut serta sebagai pemakalah dalam mendiseminasikan hasil Proyek Akhir/Penelitian/Project Based Learning/dll yang telah dilakukan. Topik SNITT (tidak terbatas pada): Elektronika, Kontrol, Otomasi, Robotika, Mekanik, Mesin, Manufaktur, Material, rare and smart material, Information Technology, Programming, Energi Terbarukan, Kecerdasan Buatan, Computer Network, Desain dan Rekayasa Mekanik/Manufaktur.
Articles 318 Documents
SISTEM PEMADAM API OTOMATIS PADA PANEL DISTRIBUSI LISTRIK BERBAIS INTERNET OF THINGS (IOT) Panny Pahrezy; Robul Ardiansyah; Enggar Hero Istoto; Limartaida Siahaan
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Fires in electrical distribution panels are often triggered by temperature fluctuations, power disturbances, or the emission of gas and smoke. To mitigate these potential hazards, an IoT-based automatic fire suppression system controlled by an ESP32 microcontroller was designed. The system integrates DS18B20 (temperature), MQ-2 (smoke/gas), flame, and voltage (battery monitoring) sensors to categorize operational status into normal, warning, or danger conditions. Technical testing established the temperature warning threshold at >50°C, while the MQ-2 sensor activates when the ADC reading reaches 375 or higher; the flame sensor has a detection range of 10 to 40 cm. The system demonstrates high responsiveness, with a delay of only 0.8 seconds between flame detection and the fire extinguisher actuator discharging the suppression agent. Another key feature is real-time data connectivity to an Android application via the Firebase Realtime Database. Overall, this innovation proves effective as a solution for early detection and initial fire response in electrical infrastructure.
RANCANGAN MESIN PENCACAH JANJANGAN SAWIT UNTUK KEBUTUHAN PUPUK KOMPOS Rara Rara; Pramayuda Pramayuda; Dedy Ramdhani Harahap; Shanty Dwi Krishnaningsih
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Solid waste in the form of oil palm fruit bunches from the palm oil industry continues to increase and remains underutilized. The accumulation of this waste poses potential environmental problems. One effective management strategy is processing it into compost; however, the large size and hardness of the fruit bunches result in a very long decomposition time unless they are shredded first. The objective of this final project is to design an oil palm fruit bunch shredder to accelerate the decomposition process into compost. The design methodology employs the systematic VDI ​​2222 approach—covering the planning, conceptualization, design, and finalization stages—supported by simulations using SolidWorks software. The design results in specifications for a shredder featuring a mechanism to adjust the cutting gap between blades, thereby effectively meeting composting requirements.
PENERAPAN PREDICTIVE MAINTENANCE UNTUK MENDETEKSI CACAT RODA GIGI LEBIH DINI Terkisah Alif Rizky; Wahyu Dirgantara; Ariyanto Ariyanto; Ramli Ramli
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Gear transmission systems are critical components in industrial machinery that are susceptible to degradation due to continuous operational loads. Early detection of gear damage is essential to prevent catastrophic failure and minimize production downtime. This study aims to implement a predictive maintenance system based on vibration analysis and machine learning to detect and classify the conditions of spur gears and helical gears. The damage scenarios tested include wear, normal operating conditions, and structural damage such as chipping or fractures. Vibration data were acquired using a triaxial accelerometer on a gearbox test rig.
PERANCANGAN ALAT STERILISASI AIR KOLAM IKAN MENGGUNAKAN TEKNOLOGI OZONE Fakhrul Hendri; Muhammad Bayu Adjie Dhiastra; Peprizal Peprizal; Lesta Lesta
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Water quality is a crucial factor affecting the growth, health, and survival of koi fish. This study aimed to design and implement a fish pond water sterilization system using ozone technology based on the ESP32 microcontroller and the Internet of Things (IoT) for real-time water quality monitoring. The proposed system consists of an ESP32, DFRobot pH sensor, DFRobot turbidity sensor, ACS712 current sensor, ZMPT101B voltage sensor, ozone generator, two water pumps, aerator, relay module, 16×2 I²C LCD, and Node-RED platform. The Research and Development (R&D) method was employed, including system design, hardware implementation, testing, and data analysis. Experimental results showed that the water pH increased from 6.8 to 7.4, while turbidity decreased from 100% to 0% after 60 minutes of ozone treatment. A four-day observation of four koi fish confirmed normal survival throughout the testing period. The developed system effectively improved water quality and enabled real-time IoT-based monitoring.
KARAKTERISTIK GETARAN GENERATOR PADA KASUS UNBALANCE BERDASARKAN DATA VIBROPORT DAN MEMS AKSELEROMETER ADXL345 Rio Farhan; Lalito Prayoga; Angga Sateria; Muhammad Riva'i
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

This study aims to analyze the vibration characteristics of a 3 kW generator due to unbalance and to compare the performance of the Vibroport 80 vibration meter with the ESP32-based MEMS ADXL345 accelerometer sensor. Unbalance conditions were created by adding 10 g, 15 g, and 20 g of mass to the generator fan at a rotational speed of ±1,491 RPM (24.8 Hz). Radial vibration data were processed using the Fast Fourier Transform (FFT) method to obtain frequency spectra and velocity RMS values. The results show that unbalance is characterized by dominant amplitude at the 1×RPM frequency (24.8–25.0 Hz), which increases proportionally with added mass, reaching 1.89 mm/s, 2.11 mm/s, and 2.81 mm/s (Vibroport). Comparison between the two instruments shows good agreement in dominant frequency identification, with deviations of 0–0.59 Hz, although ADXL345 amplitude values tend to be slightly lower, with average deviations of 0.20–0.66 mm/s. Therefore, the ADXL345 sensor has potential as a low-cost vibration monitoring tool for detecting dominant frequency trends caused by unbalance, although further calibration is required for absolute amplitude accuracy.
PENERAPAN METODE AQUEOUS PADA PROSES PENCUCIAN BEARING DALAM KEGIATAN PEMELIHARAAN MESIN DI PT TIMAH TBK UNIT SUNGAILIAT Marsela Abid Fajri Amarona; Okta Ibra Saputra; Robert Napitupulu; Zaldy Kurniawan
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Bearing is a shaft-supporting component that withstands radial and axial loads, making its cleanliness crucial for machine reliability. At PT Timah Tbk Unit Sungailiat, bearing cleaning is still carried out manually using diesel fuel, a method that is time-consuming, dependent on operator skills, and poses risks to health and safety. This final project applies a bearing washing machine with an agitation system based on aqueous cleaning, which uses water-based solutions combined with industrial detergents, as a safer and more efficient alternative. The construction includes the frame, power transmission system, main shaft and taper, bearing housing and seal, as well as a locking plate, which are then assembled and tested through no-load functional tests, load functional tests, and cleaning effectiveness tests on ball bearings and cone bearings. Additional evaluation was conducted through questionnaires with 13 respondents regarding design, ease of operation, cleaning effectiveness, work efficiency, and safety. The results show that the machine operated properly in both no-load and load tests. The average cleanliness level of bearings reached more than 90% within 10–15 minutes of washing. User evaluation scores were: ease of operation 4.6; design and ergonomics 4.3; cleaning effectiveness 4.4; work efficiency 4.3; and safety 4.0. Therefore, aqueous cleaning is feasible to be applied as an alternative to conventional cleaning methods, as it is more effective, safer for operators, and environmentally friendly, although improvements in safety and equipment stability are still required.
RANCANG DESAIN KOMPOSTER ELEKTRIK SKALA SAMPAH RUMAH TANGGA Fitriyani Efeni; Rafandu Dwi Alghifari; Zanu Saputra; Ade Putra Maulana
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Managing household organic waste accumulation remains an environmental challenge requiring technological solutions that are appropriate, efficient, innovative, and rapid. This study aims to design, construct, and test the performance of an automatic electric composter based on the ESP32 microcontroller, fully integrated with a 100-Watt PTC heating system, a 150-Watt AC motor for primary shredding, and an IoT-based remote monitoring system using the Blynk application. Comprehensive testing was conducted to evaluate the effectiveness of the initial waste shredding mechanism and the temperature rise within the composting chamber. Hardware performance results demonstrated that the mechanical shredding process operated with high precision according to the microcontroller's automatic timer settings, specifically over a 5-minute interval. Furthermore, the PTC heating system successfully raised the composting chamber's temperature gradually and consistently, starting from an initial 37.19°C and reaching a maximum setpoint of 40.00°C. Additionally, sensors recorded a peak temperature spike of 40.44°C due to residual heat accumulation after the relay cut off power to the heater. In that test confirmed that daily temperature data transmission to the Blynk dashboard and the automatic actuation of the discharge door via an servo motor operated in real-time without latency issues. In conclusion, this IoT-integrated electric composter functions optimally according to the initial design, making it suitable for immediate implementation to accelerate the processing of daily household organic waste in a smart and eco-friendly manner.
RANCANG BANGUN SISTEM PENDETEKSI TANAH LONGSOR BERBASIS IOT Encik Wan Nur Azlansyah; Galang Rama Saputra; Peprizal Peprizal; Ali Rizki Mulana
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 6 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Indonesia is a country prone to landslides, especially in hilly areas with unstable soil conditions and high rainfall. Delays in detecting early signs of landslides can increase the risk of losses and endanger public safety. Therefore, an early warning system is needed that can provide information on land conditions quickly and accurately. This study aims to design and build an Internet of Things (IoT)-based landslide detection system using an ESP32 microcontroller that can detect changes in land conditions and provide early warnings in real time. The research method used is the system design and development method (engineering design), which includes the stages of problem identification, hardware and software design, tool construction, sensor testing and calibration, system implementation, and system performance testing. The system uses limit switch sensors, GY-291 ADXL345 sensors, HC-SR04 ultrasonic sensors, and Raindrop sensors to detect changes in slope conditions. Data from all sensors is processed by the ESP32 and sent to the monitoring system via Discord. In addition, the system is equipped with a siren and strobe lights as an immediate warning on the location when dangerous conditions are detected. Test results show that the system is capable of detecting safe, alert, and dangerous conditions, sending real-time notifications, and activating warning devices based on the detected conditions. Therefore, the developed system can help increase public awareness and reduce the risk of casualties from landslides.