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Jurnal Penelitian Rumpun Ilmu Teknik
Published by Politeknik Pratama Purwokerto
ISSN : 29638178     EISSN : 29637813     DOI : 10.55606
Core Subject : Science, Engineering,
Computer Science & IT Engineering
Sistem Komputer / Teknik Komputer Sistem Informasi Teknik Perangkat Lunak Teknologi Informasi Teknik Informatika / Ilmu Komputer Bidang-bidang lainnya yang termasuk ke dalam rumpun ilmu tersebut.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 242 Documents
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sistem informasi Sistem Informasi Penilaian Kinerja Pegawai di SETDA Bagian Umum Kabupaten Situbondo Zaehol Fatah; Maharani Rahmatul Hanani
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 3 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i3.5591

Abstract

Employee performance appraisal is a crucial aspect of human resource management in government agencies. At SETDA General Affairs Section in Situbondo Regency, the manual performance appraisal system faces several challenges including time inefficiency, prone to recording errors, and lack of transparency in the assessment process. This study aims to design and develop an Employee Performance Appraisal Information System to overcome these problems and improve efficiency, accuracy, and transparency. The research methodology uses SDLC Waterfall with stages of system analysis, design, implementation, testing, and maintenance. Data collection was conducted through observation, interviews with employees and management, and literature study. The system was developed as a web-based application featuring employee data management, performance criteria input (work quality, work quantity, discipline, initiative, and teamwork), automatic calculation, and real-time reporting. Implementation results show that the system successfully simplifies the performance appraisal workflow, improves data accuracy, provides faster and more transparent reports, and supports quicker decision-making for employee development, promotions, incentives, and public service quality improvement at SETDA General Affairs Section in Situbondo Regency.
Penerapan Data Mining untuk Kelulusan Al-Barqi di Pesantren Salafiyah Syafi’iyah Menggunakan Metode Random Forest Faza Qori Aina; Zaehol Fatah
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 3 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i3.5625

Abstract

Application of data mining methods using Random Forest algorithm to predict student graduation in the Al-Barqi learning program at Pesantren Salafiyah Syafi'iyah. The background of this research is the continued use of manual evaluation systems that have the potential to create subjectivity and lack transparency. The data used comes from student evaluation results, covering aspects of fasohah, tilawah, numerical scores, and discipline. The research process was conducted through stages of data collection, preprocessing, modeling, and implementation using RapidMiner Studio software. The research results show that the Random Forest algorithm is able to provide predictions with a good level of accuracy, as well as identify the score factor as the most dominant variable in determining graduation, followed by aspects of Quranic reading and discipline. These findings confirm that the use of data mining can improve accuracy, objectivity, and transparency in student assessment systems, while supporting digital transformation in pesantren environments. Thus, this research provides data-based recommendations to improve the quality of learning and evaluation systems in pesantren.
Analisis Kualitas Daya Listrik dan Keandalan Pelayanan pada Penyulang Nayak, Kaonak, Byak, Baliem, Napua, dan Interkoneksi 20 Kv PLN Wamena Muhammad Yuski Firmansyah; Arief Marwanto
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 3 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i3.5703

Abstract

n the working area of ​​PT PLN (Persero) UP3 Wamena, the electricity distribution system still uses a radial configuration which has weaknesses in service continuity and feeder reliability on the 20 kV Medium Voltage Network (JTM). Geographical challenges and extreme climate in the Papua Mountains Province also exacerbate this condition. This study aims to analyze the reliability level of the Kaonak, Nayak, Baliem, Byak, Napua, and Interconnection Feeders using the SAIDI, SAIFI, CAIDI, and MAIFI index calculations according to the SPLN: 68-2 Year 1986 and IEEE 1366-2012 standards. The calculation results show that most feeders in 2023 and some in 2024 have not met the SAIDI and SAIFI standards according to SPLN and IEEE despite significant improvements in 2024. Meanwhile, the CAIDI index of all feeders is still within reasonable limits according to both standards. The MAIFI index cannot be calculated due to limited recloser equipment performance. Frequency quality still meets standards (50.2-50.3 Hz), but the total harmonic distortion (THD) of the feeders exceeds the limit with a value of ≥ 5%. The main network reliability issues are caused by difficult topography, limited access, and natural conditions that complicate disturbance management. Recommendations to improve network reliability include maintenance and optimization of primary distribution materials.
Klasifikasi Penyakit Daun Tanaman Cengkeh Menggunakan Arsitektur MobileNetV2 Berbasis Web Made Wahyu Sudharma; Ni Luh Putu Ika Candrawengi
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6652

Abstract

The clove plantation sector (Syzygium aromaticum) in Indonesia plays an important role in supporting national economic stability. However, its productivity faces threats from Plant Pest Organisms (PPOs), such as Clove Leaf Cacar Disease (CDC), Sooty Mold, and Dieback, which can cause losses of 10%-40% of total harvest yields. Conventional visual diagnosis is prone to subjectivity and human error, while the implementation of large-scale deep learning models is constrained by the computational capacity of end-user devices. This study aims to develop an objective and lightweight diagnostic system through the CloveVision web application based on the MobileNetV2 architecture. The study employed a quantitative experimental approach involving data collection, image preprocessing, model development using transfer learning and fine-tuning, system conversion, and evaluation. The dataset consisted of 1,000 clove leaf images collected from Tajun Village, Buleleng, Bali, with 250 images per class. The model was converted to TensorFlow.js to facilitate client-side execution directly in a web browser. The test results showed an accuracy of 78.75% on an independent test dataset, a model size of 9.24 MB, and an inference time of less than 100 milliseconds without an internet connection. Black-box testing achieved a 100% success rate, while usability testing using the System Usability Scale (SUS) with 15 farmers produced an average score of 86.67 (Best Imaginable). The study concludes that MobileNetV2 effectively balances accuracy and computational efficiency to support smart farming.
Asesmen Tekno-Ekonomi Co-firing Sawdust Terintegrasi CCS pada PLTU Batubara Subkritis Agus Salim; Ignatius Rendroyoko
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6666

Abstract

Coal-fired power plants (CFPPs) remain dominant in Indonesia's electricity mix and are a major contributor to national CO2 emissions, while the government targets an emission reduction of up to 43.20% by 2030 and Net Zero Emissions by 2060. Sawdust biomass co-firing and Carbon Capture and Storage (CCS) are two decarbonization options for existing CFPPs, yet their combined effect on the technical, economic, and environmental performance of a subcritical pulverized coal (PC) unit has not been widely studied in an integrated manner. This study analyzes the effect of sawdust biomass co-firing ratio variation (5-30%) combined with MEA-based post-combustion CCS on the technical performance, economics, and CO2 emission intensity of a 350 MW subcritical PC power plant, as well as the sensitivity of its economic feasibility to carbon prices, using IECM 13.0 simulation software. The results show that biomass co-firing incurs only a minor performance penalty, whereas CCS reduces net power output from 314.34 MW to 206.26 MW and net efficiency from 31.08% to 18.85%. The Levelized Cost of Electricity (LCOE) increases by approximately 219% after CCS implementation, from 0.0514 to 0.1638-0.1669 USD/kWh, while net CO2 emissions reach carbon neutrality at a 10% co-firing ratio and continue to decline to a negative value (-0.3392 kg/kWh) at a 30% co-firing ratio with CCS. Carbon price is shown to be the most dominant factor determining the economic feasibility of CCS, with the effective LCOE approaching the national average at a carbon price of around 100 USD/tCO2.
Optimasi Pipeline Pengenalan Wajah Berbasis Mobile FaceNet menuju Autentikasi yang Liveness (Liveness-Aware) Danuri Danuri; Kusrini Kusrini
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6693

Abstract

Bi Biometric face authentication on mobile devices faces two main challenges: computational efficiency under limited resources and vulnerability to spoofing attacks using photos or videos. This study presents an optimized face recognition pipeline by integrating the MobileFaceNet model in TensorFlow Lite (TFLite) format into a React Native application, reinforced with a liveness detection module to ensure the presence of a genuine face. The developed system consists of four main stages: (1) real-time face detection using Expo Face Detector, (2) preprocessing involving cropping and resizing to 112 × 112 pixels with pixel normalization to the range of [−1, 1], (3) MobileFaceNet inference to generate 128-dimensional face embeddings, and (4) verification using cosine similarity with a threshold of 0.75. Initial testing shows that the system operates entirely on-device without relying on external servers, with inference latency suitable for real-time attendance applications. The integration of liveness detection is proposed as an additional layer of defense against presentation attacks. The main contribution of this study is an integrated, lightweight, and secure pipeline architecture that can be implemented on mid-range mobile devices.                                                            
Kajian Eksperimental Pengaruh Variasi Discharge Rate terhadap Karakteristik Elektrokimia dan Termal Baterai Lithium-Ion Silinder LCO, LFP, NMC, dan NCA Sumedi Sumedi; Ignatius Rendroyoko; Prasetyo Adi Nugroho
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6753

Abstract

Lithium-ion batteries are a key component of modern energy storage systems, including electric vehicles and renewable energy integration. Nevertheless, their performance is strongly affected by operating conditions, especially the discharge rate. This study aims to evaluate the effect of discharge rate variation (0.5C, 1C, 2C, and 3C) on the electrochemical and thermal characteristics of four commercial cylindrical lithium-ion cell chemistries - LCO, LFP, NMC, and NCA, using a quantitative experimental method with a Neware CE-6002n Battery Testing System and a Hioki LR8450 Memory HiLogger. Test results show that discharge capacity decreased by 2.3–8.9% from 0.5C to 3C, while discharge energy decreased significantly by 14–21% due to reduced working voltage caused by internal resistance. Energy efficiency dropped from a range of 83–94% to 65–80%. Surface temperatures of the NMC and NCA cells exceeded 60°C at a 3C discharge rate, surpassing the safe operating limit, whereas LCO exhibited the lowest ΔT value. Based on the Simple Additive Weighting method applied to seven performance parameters, the overall performance ranking obtained was NMC > LCO > NCA > LFP. The quadratic regression model provided the best representation for capacity, energy, and temperature rise, while the geometric model was most suitable for energy efficiency.
Analisis Dampak Kerusakan Cargo terhadap Efisiensi Operasional Muat Clinker oleh PT Varia Usaha Bahari di JIIPE Gresik Swara Reyke Pratama; Indah Ayu Johanda Putri; Henna Nurdiansari
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6757

Abstract

This study aims to analyze the impact of clinker cargo damage on operational efficiency and to identify the effects of truck delays (waiting trucks) and crane malfunctions on the operational efficiency of the clinker loading process at PT Varia Usaha Bahari JIIPE Gresik. The study employs a quantitative approach using a survey method involving 60 respondents. Primary data were obtained through the distribution of questionnaires, while secondary data were obtained from Daily Reports/Time Sheets and Statements of Facts (SOF). Data analysis included validity tests, reliability tests, classical assumption tests, simple linear regression analysis, the coefficient of determination, t-tests, and descriptive analysis of operational data. The results indicate that Clinker Cargo Damage has a positive and significant effect on Operational Efficiency, with a regression coefficient of 0.742, a calculated t-value of 7.852, a significance level of < 0.001, and an R² of 0.515. This means that the Clinker Cargo Damage variable explains 51.5% of the variation in Operational Efficiency. Operational Efficiency (Y) = 5.547 + 0.742 Clinker Cargo Damage (X). Analysis of Daily Reports/Time Sheets and Statements of Facts (SOF) revealed that waiting trucks are the dominant factor reducing operational efficiency, resulting in a total time loss of 1.72 hours and an estimated delayed tonnage of approximately 769 metric tons, whereas crane disruptions only caused a time loss of 0.32–0.63 hours with an estimated delayed tonnage of 143–282 metric tons. These findings indicate that truck delays have a greater impact on operational efficiency than crane malfunctions.
Analisis Kelayakan Struktural Menara Kaki Empat (Self Supporting Tower) Greenfield Ketinggian 72 Meter: Studi Kasus: Robohnya Tower di Ohoirenan-Maluku Duden Dodi Hartono; Rachmi Yanita
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6766

Abstract

Telecommunication towers are vital infrastructures that support modern communication systems. Structural failure of telecommunication towers may lead to technical, economic, and public safety impacts. This study aims to analyze the causes of the collapse of a 72-meter Self Supporting Tower (SST) located in Ohoirenan Village, Southeast Maluku Regency. The research employed a case study method with a descriptive approach and technical analysis based on the ANSI/TIA-222-G standard. The analysis results indicate that the structural failure was caused by the loss of several structural elements, including bracing members, connection plates, and bolts, as well as bolt tightness that did not meet the required standards. In addition, extreme wind loads and inadequate maintenance contributed to accelerating the structural collapse. From a non-technical perspective, violations of ethics, weak professionalism, and suboptimal implementation of Occupational Health, Safety, and Environment (OHSE) practices were also identified. This study recommends improving design quality, construction supervision, and the implementation of stricter safety management systems to prevent similar incidents in the future.
Exploring the Factors of Focus Group Discussions in Developing Vocational Students’ Speaking Skills Yoana Gita Pradnya Lengari; Yohanes Ragil Purnomo; Yuniarmelinda Ikha Meru Brahmanty; Dwi Ratih Nolaputri
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6769

Abstract

In vocational higher education, traditional teacher-centered instruction focused on grammar often leaves students with high communication anxiety and limited opportunity for authentic speaking practice, despite growing regional industrial demands in Cilacap Regency. This study investigated the implementation of Focus Group Discussions (FGDs) to explore factors contributing to students’ speaking skill improvement and identify the defining characteristics of student interaction. Using a descriptive qualitative method integrated with quantitative data triangulation within a collaborative research framework, the study involved 28 second-semester Agro-industrial Product Development study program at Politeknik Negeri Cilacap. Data were collected using quantitative pre and post-test combined with qualitative participatory observation and in-depth interviews. The quantitative results showed a 36,97% improvement in speaking fluency and a 72,28% increase in vocabulary mastery. Qualitatively, key factors supporting these improvements included reduced speaking anxiety through small-group peer scaffolding, active vocabulary use driven by practical topics such as marketing strategies and packaging design, along with strategic code-switching to handle language gaps. Interactional patterns shifted from passive reliance on the lecturer and long pauses into spontaneous turn-taking, active negotiation of meaning, and mutual problem solving. The study demonstrates that FGDs effectively serve as a supportive pedagogical tool for developing vocational students’ speaking skills.

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