Jurnal Inovasi Teknologi Terapan
About the Journal Jurnal Inovasi Teknologi Terapan (JITT) dikelola oleh Politeknik Manufaktur Negeri Bangka Belitung sebagai wadah rutin bagi sivitas akademika dan praktisi dalam berbagi pengetahuan, temuan, dan pengalaman dalam hal inovasi teknologi terapan yang berkelanjutan. JITT ini merupakan ajang publikasi ilmiah mengundang para sivitas akademika dan praktisi untuk ikut serta sebagai penulis dalam mempublikasikan hasil-hasil penelitian dan pengembangan ilmu. Topik JITT (tidak terbatas pada): Elektronika, Kontrol, Otomasi, Robotika, Mekanik, Mesin, Material, Manufaktur, Perawatan Mesin, Information Technology, Programming, Energi Terbarukan, Kecerdasan Buatan, Computer Network, Kontrol Otomatis, Teknologi Pertanian dan Perikanan, Desain dan Rekayasa Mekanik. Jurnal Inovasi Teknologi Terapan (JITT) is managed by Politeknik Manufaktur Negeri Bangka Belitung as a regular forum for academics and practitioners to share knowledge, findings, and experiences in terms of sustainable applied technological innovation. JITT is a scientific publication event inviting academics and practitioners to participate as writers in publishing the results of research and development of science. JITT Topics (not limited to): Electronics, Control, Automation, Robotics, Mechanics, Machinery, Materials, Manufacturing, Machine Maintenance, Information Technology, Programming, Renewable Energy, Artificial Intelligence, Computer Networks, Automatic Control, Agricultural Technology and Fisheries, Design and Mechanical Engineering.
Articles
272 Documents
<![CDATA[Perancangan Tempat Sampah Pintar Berbasis IoT Pada Rumah Sakit Umum Sungailiat ]]>
<![CDATA[Muhammad Faqih Taqiyuddin Haqani]]>;
<![CDATA[Muhammad Ega Rivanda]]>;
<![CDATA[Yudhi Yudhi]]>;
<![CDATA[Parulian Silalahi]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.419
<![CDATA[This study presents the implementation of an IoT-based smart waste bin designed for hospital environments to monitor waste capacity and detect hazardous medical waste (B3). Effective waste management in hospitals is critical to prevent contamination and ensure environmental safety. The proposed system integrates ultrasonic sensors to measure waste capacity and an MQ-135 gas sensor to detect hazardous gases, controlled by an ESP32 microcontroller. Waste status data are transmitted in real time to a mobile monitoring application via an IoT platform, enabling automatic notifications when waste reaches critical capacity levels. Experimental results show that the system can measure waste levels with an accuracy of ±2 cm and deliver notifications with an average latency below 2 seconds. The proposed system demonstrates potential to improve efficiency, safety, and responsiveness in hospital waste management.]]>
<![CDATA[Prediksi Harga Pangan di Kota Pangkalpinang Menggunakan Algoritma XGBoost ]]>
<![CDATA[Khemal Fasyah Ishaq]]>;
<![CDATA[Riki Afriyansyah]]>;
<![CDATA[M. Hizbul Wathan]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.420
<![CDATA[Food price fluctuations are a strategic issue affecting food security and regional inflation stability. Pangkalpinang City experiences significant inflationary pressure in the food sector, highlighting the need for accurate predictive models. This study aims to develop a time series–based price prediction model for strategic food commodities using the Extreme Gradient Boosting (XGBoost) algorithm. The dataset consists of daily prices of 40 food commodities obtained from the Pangkalpinang City Trade Information System, covering the period from January 1, 2024, to May 28, 2025. The research methodology includes data preprocessing, feature engineering, time series–based data splitting, hyperparameter optimization using Optuna, and model evaluation. Feature engineering incorporates price lag features, statistical features, calendar features, and national holiday indicators. Model performance is evaluated using Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and the R-Squared (R²). The results indicate that XGBoost achieves high prediction accuracy for most commodities, particularly those with stable price patterns, while still capturing fluctuation trends in highly volatile commodities. The findings suggest that commodity-specific modeling provides better performance than a single global model and can support regional inflation control policies.]]>
<![CDATA[Inovasi Administrasi Kehadiran Santri di TPA: Solusi Cerdas dengan Teknologi Sidik Jari dan Firebase ]]>
<![CDATA[Tiara Muqasonah]]>;
<![CDATA[Hendra Hendra]]>;
<![CDATA[Ocsirendi Ocsirendi]]>;
<![CDATA[Novitasari Novitasari]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.425
<![CDATA[Student attendance administration is a crucial process at Al-Quran Education Parks (TPA). In reality, many TPAs still conduct manual administration, as in the three TPAs surveyed in Bangka, making them vulnerable to data loss, inaccurate recording, and slow processing. The solution is to design an intelligent, integrated website attendance system using fingerprint sensors, ESP 8266, and Firebase. The collaboration between biometric technology and Firebase is expected to replace manual administration, improve discipline and accuracy of student attendance data, and increase efficiency. The results demonstrate the system's effectiveness in supporting the attendance process.]]>
<![CDATA[Analisis Hubungan Getaran dan Kekasaran Permukaan pada Proses Pembubutan Baja ST60 ]]>
<![CDATA[Haradat Tahrir Algaza]]>;
<![CDATA[Robert Napitupulu]]>;
<![CDATA[Erwansyah Erwansyah]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.426
<![CDATA[This study aims to analyze the relationship between vibration and surface roughness in the turning process of ST 60 steel. The turning process was carried out by varying machining parameters, namely depth of cut, spindle speed, and feed rate. An experimental method was employed using eight combinations of cutting parameters. The material used was cylindrical ST 60 steel. Vibration measurements were performed using a VibraPort 80, while surface roughness measurements were conducted using a Mitutoyo SJ-210 surface roughness tester. The results show that workpiece number 1 produced the best surface quality with a surface roughness (Ra) value of 1.42 µm. In contrast, workpiece number 8 exhibited the poorest surface quality with an Ra value of 3.12 µm. The differences in surface quality were influenced by the combination of turning parameters that led to increased vibration during the cutting process. These results indicate that vibration plays an important role in determining the final surface quality. Therefore, proper control of turning parameters is required to minimize vibration and achieve optimal surface quality in the turning of ST 60 steel.]]>
<![CDATA[Analisis Hubungan Getaran dan Kualitas Kebulatan Pada Proses Pembubutan Baja ST60 ]]>
<![CDATA[Anselmus Agung Wilko Yonico]]>;
<![CDATA[Robert Napitupulu]]>;
<![CDATA[Nanda Pranandita]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.427
<![CDATA[This study aims to analyze the relationship between machine vibration and roundness quality in the turning process of ST 60 steel. An experimental method was conducted by varying three main cutting parameters: depth of cut (2 mm and 3 mm), spindle speed (700 RPM and 995 RPM), and feed rate (0.7 mm/rev and 1 mm/rev). Vibration was measured using a vibrameter (VibraPort 80), while roundness quality/surface roughness (Ra) was measured using a micrometer and a surface roughness tester. The results indicated that the increase in vibration intensity is directly proportional to the increase in surface roughness/roundness values, with vibration acting as a mediator that degrades the quality of the turning results. Feed rate was identified as the most dominant parameter affecting both vibration and roundness quality. Increasing the feed rate from 0.7 to 1 mm/rev expanded the tool path markers, resulting in a coarser surface. Conversely, higher spindle speeds tended to produce a more stable cutting process and dampen vibrations, although extreme RPMs could trigger chatter. The conclusion shows that vibration control through parameter optimization, particularly the use of low feed rates and stable high RPMs, is crucial for achieving precision in ST 60 steel turning with an optimal Ra value below 1.5 μm.]]>
<![CDATA[Analisis Perbandingan Pengaruh Media Pendingin Dromus dan Air Radiator Terhadap Kekasaran Permukaan Baja S45C Pada Proses CNC Miliing ]]>
<![CDATA[Fatullah Faing]]>;
<![CDATA[Eko Yudo]]>;
<![CDATA[Zaldy Kurniawan]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.430
<![CDATA[This study aims to analyze the comparative effect of Dromus and radiator water cooling media on the surface roughness of S45C steel in the CNC Milling machining process. The quality of the machined surface is a critical indicator in the manufacturing industry, necessitating parameter optimization to achieve maximum efficiency. The Taguchi method with an L9 orthogonal array experimental design was used to evaluate the influence of three process parameters: spindle speed, depth of cut, and feed rate. Tests were conducted with three replications for each combination, and data were analyzed using the Signal-to-Noise (S/N) ratio calculation with the "smaller-is-better" category and ANOVA to determine the contribution of each factor. The results showed that Dromus cooling media consistently provided lower and more stable surface roughness values compared to radiator water. The optimal parameter combination found was a spindle speed of 1910 rpm, a depth of cut of 0.2 mm, and a feed rate of 330 mm/min. Contribution analysis revealed that when using Dromus, the depth of cut was the most dominant factor (63.40%), whereas with radiator water, spindle speed was the primary factor influencing surface roughness (45.67%).]]>
<![CDATA[Prototype Smart Charging Untuk Sepeda Listrik Berbasis Internet of Things ]]>
<![CDATA[Gillang Saputra]]>;
<![CDATA[Ares Setiawan]]>;
<![CDATA[Eko Sulistyo]]>;
<![CDATA[Dora Palupi]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.432
<![CDATA[The increase in the use of electric bicycles has led to the need for an efficient and safe charging system. This study designed a prototype of a smart charging system for electric bicycles based on the Internet of Things (IoT) to facilitate real-time and remote monitoring of charging. This system uses an ESP32 microcontroller, a 24V 15A power supply, 400W and 1200W step-up converters, and ACS712 30A voltage and current sensors. Charging data is displayed through the Blynk application to facilitate user monitoring. Test results show that the voltage increases until it stabilizes, while the current decreases over time during charging, indicating that the system works safely and efficiently (voltage 45–57 V, current approximately 2 A to nearly 0 A, time 0 to 353 minutes). Electricity consumption increases at the start of charging and then decreases, while charging costs continue to accumulate, indicating that the system is capable of calculating energy and estimating costs in real-time (maximum energy approximately 0.0018 kWh, cost approximately Rp1,200–Rp1,300).]]>
<![CDATA[Analisis Risiko Kegagalan Mesin Thresher Menggunakan Metode Failure Mode and Effect Analysis (FMEA) dan Risk Priority Number (RPN) di Pabrik Kelapa Sawit PT. MAS ]]>
<![CDATA[Ahmad Khoirul Humam Nazhif]]>;
<![CDATA[Harwadi Harwadi]]>;
<![CDATA[Indra Feriadi]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.435
<![CDATA[The thresher machine plays a critical role in separating palm fruits from bunches in palm oil mills. Failures in the thresher machine can lead to increased downtime, production losses, and reduced Crude Palm Oil (CPO) output. This study aims to identify potential failure modes of the thresher machine and determine the most critical components using Failure Mode and Effect Analysis (FMEA) and Risk Priority Number (RPN). This research employs a quantitative descriptive approach with a case study conducted at PT. MAS Palm Oil Mill from January to December 2024. Data were collected through field observations, structured interviews, and operational record analysis. The results show that the thresher machine operated for 5,384 hours with a total downtime of 37 hours due to 11 failure events. Based on the RPN calculation, the V-belt has the highest risk level with an RPN value of 128, followed by the spider component with an RPN value of 126. These components are identified as critical and should be prioritized in maintenance planning. The implementation of FMEA and RPN can support effective maintenance decision-making, reduce downtime, and improve the reliability of the thresher machine.]]>
<![CDATA[Kekuatan Bending Rangka H-Beam Komposit Sandwich Menggunakan Core Polimer Produk 3D Printing dan Skin Serat Karbon ]]>
<![CDATA[Ridlwan Muhammad]]>;
<![CDATA[Pradana M. D. N]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.446
<![CDATA[Additive manufacturing (AM) has emerged as an effective fabrication approach for producing lightweight structural components with high geometric flexibility; however, its relatively limited mechanical performance restricts its direct application in load-bearing structures. In contrast, carbon fiber-reinforced composite structures offer superior stiffness-to-weight and strength-to-weight characteristics, but conventional composite manufacturing processes are often labor-intensive, time-consuming, and less adaptable to complex structural profiles. To address these limitations, this study proposes an integrated fabrication strategy for composite H-beam structures that combines the design flexibility of fused deposition modeling (FDM) with the mechanical efficiency of carbon fiber reinforcement. The proposed method utilizes FDM to fabricate H-beam cores using PLA+ and ABS materials, which are subsequently reinforced with carbon twill fabric and carbon prepreg layers through a vacuum bagging process. A controlled curing process is conducted at 70 °C for 240 min to improve composite consolidation and achieve optimal mechanical performance. The effects of material selection and reinforcement configuration are evaluated through bending tests to assess structural strength and rigidity. The results demonstrate that integrating 3D printing with vacuum-assisted composite fabrication enables the production of lightweight H-beam structures with enhanced mechanical performance and improved manufacturing flexibility compared with conventional approaches.]]>
<![CDATA[Analisis Intensitas Cahaya terhadap Voc dan Isc Panel Surya ]]>
<![CDATA[Enggar Hero Istoto]]>;
<![CDATA[Ilham Faqih]]>;
<![CDATA[Mura Shaki]]>;
<![CDATA[Sasha Avrilia]]>;
<![CDATA[Juliadi Zalukhu]]>
<![CDATA[ Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan ]]>
Publisher : <![CDATA[Politeknik Manufaktur Negeri Bangka Belitung ]]>
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DOI: 10.33504/jitt.v4i2.447
<![CDATA[Due to Indonesia's year-round abundance of sunlight, solar energy is one of the renewable energy sources with substantial development potential. Photovoltaic panel output characteristics, particularly open circuit voltage (Voc) and short circuit current (Isc), are impacted by variations in solar irradiation. The purpose of this study is to examine how solar irradiation affects a 50 WP monocrystalline solar panel's Voc and Isc values. Direct measurements were made every five minutes between 10:00 and 11:30 in the morning as part of an experimental approach. Solar irradiance, open circuit voltage, and short circuit current were among the parameters that were measured. The results showed that increasing irradiance significantly affected the Isc value, while Voc tended to remain relatively stable. The highest irradiance value was 982 W/m² with a Voc value of 20.6 V and an Isc value of 3.21 A. The findings indicate that the output current of the photovoltaic panel is more sensitive to irradiance changes than the output voltage]]>
