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
Apparent Source-Level Efficiency of Internal Electric and External LPG Heating in a Laboratory Vacuum Evaporator
Erwin Erwin;
Maulana Alfa Rizki;
Syarif Abdullah;
Slamet Wiyono
Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung
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DOI: 10.33504/jitt.v4i2.464
Background: Vacuum evaporation lowers boiling temperature, but performance depends on heat-source power and location, vacuum level, auxiliary demand, and the analytical boundary. This study compared an internally coupled electric resistance heater with an external LPG burner in the same laboratory vacuum evaporator using one non-replicated Water Boiling Test per configuration and 40 kg of water. Temperature, gauge pressure, water mass, reservoir temperature, and electrical variables were recorded every minute. The electric run lasted 367 min at 0.548 kW average source power; the LPG run lasted 300 min, consumed 0.80 kg fuel, and averaged 2.049 kW. LPG reached 65 °C at 35 min and evaporated 7.8 kg (0.0260 kg/min), whereas the electric heater reached 55 °C near the end and evaporated 2.4 kg (0.00654 kg/min). Apparent source-level efficiencies from a common sensible-plus-latent balance were 78.2% for electricity and 62.7% for LPG. A ±1 °C sensitivity changed these estimates by about ±1.39 and ±0.45 percentage points, respectively. Including vacuum-pump electricity reversed the system-level ordering. Because power, pressure, duration, and endpoints were not matched, the results describe two operating states rather than a causal heater-location effect.
Implementasi Sistem Hybrid Verifikasi Kehadiran Berbasis Embedded untuk Monitoring Distribusi MBG
Aan Febriansyah;
Lesta Lesta;
Astria Jana Azzura;
Ilham Faqih
Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung
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DOI: 10.33504/jitt.v4i2.465
Attendance-data validity was essential to support accurate distribution of the Free Nutritious Meals Program. This study designed and implemented a Raspberry Pi 4-based hybrid attendance-verification system with selectable facial and fingerprint recognition. Experimental engineering was applied through device design, dataset preparation, software integration, and subsystem and integrated-system testing. Facial recognition used YOLOv5n as a trigger, MediaPipe for face detection, MobileFaceNet for embedding extraction, and cosine similarity for identity matching. The dataset produced 1,172 valid embeddings from 30 students. Testing achieved 100% fingerprint success, 100% face-detection success, and 94.7% facial-recognition accuracy. All five storage and web-dashboard functions operated as designed. The system supported local, automatic, and integrated attendance recording; however, facial-recognition performance decreased under low illumination.