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Karakteristik Alat Pemanen Madu Tipe Isap dengan Variasi Tekanan Vakum Sutejo, Agus; Al Khalidhi, M. Alvhandi; Ramdani, Gilang; Putri, Annastasha Diandra
Jurnal Agricultural Biosystem Engineering Vol. 4 No. 2 (2025): June 2025
Publisher : abe.fp.unila.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jabe.v4i2.10906

Abstract

Honey harvesting is one of the main activities in beekeeping. The honey harvesting process plays a crucial role in ensuring the quality and quantity of the final product. This study aims to analyze the characteristics of suction-type honey harvesting with variations in vacuum pressure to determine the impact of pressure factors on the effectiveness of hive repair, the quality of the honey produced, and the speed of harvesting. The study was conducted from July to September 2024 at PT Daud Teknik Maju Pratama, Agribusiness and Technology Park IPB, and The Animal House, using two different pressures: -23.37 cmHg and -21.34 cmHg. Vacuum pressure honey harvesting proved to be effective as it could be performed quickly without damaging the honeycomb. On the other hand, the pressing method was less effective because it could damage the hive, resulting in a longer time required for bees to repair it. Harvesting 300 ml of honey using pressures of -9.2 cmHg and -8.4 cmHg took approximately 5.4 minutes and 6.72 minutes, respectively. The honey produced showed varying viscosity values, such as honey from Trigona laeviceps in hive 1 with a viscosity of 122.395 mPa.s, hive 5 with a viscosity of 99.645 mPa.s, hive 10 with a viscosity of 121.117 mPa.s, and honey from Trigona itama with a viscosity of 79.346 mPa.s. Keywords: Effectiveness, Honey, Pressure Variation, Vacuum Pump, Viscosity.
Performance Evaluation of Ball Mill Type Grinding Machine for Particle Size Reduction of Porang Glucomannan Crystals Sutejo, Agus; Wicaksono, Dionisius Dwi; Pramuhadi, Gatot
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 1 (2024): March 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i1.165-177

Abstract

A wide gap in the price of glucomannan flour and porang tubers leads to develop a machine to process tubers into fine flour with good performance. The purpose of this research was to analyze and determine the performance of a ball mill machine on the flour yield as well as its quality. Research was conducted at PT Daud Teknik Maju Pratama from January – May 2023. Testings were carried out under two treatment factors, namely rotational speed (21.2 and 41.6 rpm) and processing time (0.5 h, 1.0 h, 1.5 h, 2 h). The test was carried out using 150 g sample for each treatment with three replications. The response variables included capacity, percentage of size reduction, material losses, engine power, and flour quality. The results showed that the optimum capacity of the ball mill machine was 12.5 kg/batch. The highest percentage of size reduction was 96.27% and the lowest material loss (3.73%) were obtained at 21.2 rpm for 0.5 h of miling process. Treatment with 41.6 rpm for 2 h produced the best flour quality with moisture content of 11.87% and fine flower yield of 63.97% passing through 100-mesh sieve. The power requirements of electric motors at 21.2 rpm and 41.6 rpm were 0.8063 kW and 0.9101 kW, respectively. The best milling capacity (1.560 g/min) was resulted at rotational speed of 62.27% CS. The ball mill machine showed superior results as compared to a disk mill which was not able to grind the glucomannan crystals up to 100-mesh size.Keywords: Ball mill, Glucomannan flour, Performance test, Porang, Refining.
Optimization of used engine oil Furnace Design with Initial Heater Sahbudin, Muhammad; Hermawan, Wawan; Sutejo, Agus
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 4 (2024): December 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i4.1237-1248

Abstract

Used engine oil is a waste from various types of machinery that has potential as an alternative fuel. The viscous characteristics of used engine oil require viscosity adjustment to be utilized as fuel. Nowadays used engine oil burners are generally using an external heater as an initial preheater, which causes the thermal efficiency decreased. The aims of this study are optimizing the design of the used engine oil burner by adding an initial heater and to find the optimum operating conditions of the burner to improve thermal. The initial heater is a spiral-shaped heat exchanger around the flame inside the burner, using its heat to decrease the viscous of used engine oil, so the used engine oil can be used as burner fuel. This study is varying the combustion air flowrate at 3.2×10-3 kg/s, 4.6×10-3 kg/s, and 6.4×10-3 kg/s and fuel rates of 2.1×10-4 kg/s, 3.1×10-4 kg/s, and 4.3×10-4 kg/s so the best performance of the burner will be observed. The results were obtained the best burner performance air flowrate of 4.6×10-3 kg/s and fuel flow rate of 4.3×10-4 kg/s, producing flue gas heat of 544°C, useful energy of 2.69 kW, and a resulting thermal efficiency of 59.54%. Keywords: Burner, Design optimization, Initial heater, Used engine oil, Viscosity.
Analysis of Load Testing on the Fresh Fruit Bunch Catching Component of the Electric Bunch Harvester (E-Bhar) Machine and its Impact on Fresh Fruit Bunch Quality Ghiffari, Miftah; Herodian, Sam; Sutejo, Agus
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.1073-1084

Abstract

This study aims to test the loading on the catcher components of the E-Bhar machine, as well as estimate the bruise index (BI) and free fatty acids (FFA) in the Fresh Fruit Bunches (FFB) caught. The loading test was conducted by dropping artificial FFB weighing 35 kg from a height of 1 m for 16 trials to analyze the deformation that occurred on the catcher components. Additionally, the BI was manually observed based on variations in the height of the FFB during harvesting. The results showed that an increase in the dropping height of the FFB caused an increase in potential force, which impacted the damage to the FFB. The potential force simulation results on the E-Bhar machine's catcher components ranged from 143.35 N to 2300.38 N, with BI values between 2.38 and 6.69. The maximum BI of 6.69 at a height of 10 m indicates damage approaching the critical value, thus threatening the quality of the FFB. The percentage of FFA ranged from 2.30% to 7.85%, exceeding the maximum limit of 5% set by the palm oil mill according to (SNI 01-2901-1992). These findings emphasize the advantage of using the catcher components in the E-Bhar machine to maintain good quality of the harvested FFB. Keywords: Bruise index, Catcher component, Deformation, Free fatty acids, Load testing.
Internal Structure Test of Big Five Inventory Sutejo, Agus; Siaputra, Ide Bagus; Lasmono, Hari K.
ANIMA Indonesian Psychological Journal Vol 26 No 3 (2011): ANIMA Indonesian Psychological Journal (Vol. 26, No. 3, 2011)
Publisher : Faculty of Psychology, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/aipj.v26i3.4199

Abstract

The purpose of this study was to explain the internal structure of Big Five personality trait instrument, namely the Big Five Inventory (BFI). Maximum likelihood method of factor analysis in SPSS 16.0 was used to find suitability between the model proposed and data collected. Subjects (N=156) were all psychology students. Results reveal that five factors personality (Big Five) as proposed by personality theory is not in accordance with data collect- ed. Seven factor model is more appropriate to explain personality, namely openness to ex- perience, conscientiousness, friendliness, introversion, emotional stability, aggressiveness, and vulnerability. The findings have two alternative meanings, first an essential difference in meaning derived from the translated instrument items that could exhibit different responses, and second, the large spectrum of personality characteristics in "Big Five" enables the emergence of a new form of different personality characteristic as a consequence of overlapping between factors of the theory. Penelitian ini berusaha menjelaskan struktur internal alat ukur big five personality trait, yakni Big Five Inventory (BFI). Metode yang digunakan adalah analisis faktor menggunakan metode maximum likelihood dalam program SPSS 16.0 untuk mencari kesesuaian model yang diajukan dengan data yang diperoleh. Subjek (N=156) adalah mahasiswa psikologi. Hasilnya menunjukkan bahwa model lima faktor yang diajukan dalam teori kepribadian big five tidak sesuai dengan data yang didapatkan. Adapun, model tujuh faktor lebih cocok untuk menjelaskan kepribadian dalam subjek penelitian ini. Tujuh faktor itu terdiri atas openness, conscientious- ness, friendliness, introversion, emotional stability, aggressiveness, dan vulnerability. Perlu diperhatikan bahwa terdapat dua alternatif pemaknaan dalam temuan ini. Pertama adanya perbedaan esensi makna pada terjemahan butir alat ukur yang mungkin memunculkan perbedaan respons. Kedua adalah luasnya karakteristik kepribadian Big Five yang memungkin- kan terbentuknya karakteristik kepribadian yang berbeda akibat singgungan antar-faktor dalam teori tersebut.
Transforming E-governance: the potential of blockchain in the public sector Nuryanti, Linda; Ayuningtyas, Fara; W. Sumunaringrum, Monica D.; Ruswendi, Wenwen; Srimoeljanto, Agoeng; Sutejo, Agus; Susanto, Triyono; Nurmayni, Ratna
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 3: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i3.pp1517-1530

Abstract

Blockchain technology has become a transformative innovation in the digital governance landscape, offering new opportunities to enhance transparency, accountability, and citizen trust. This study offers an extensive bibliometric and thematic examination of international research on blockchain in E-governance from 2019 to 2024. Using data from the Scopus database, the analysis examines publication trends, leading countries, collaboration networks, and the intellectual structure of the field. The findings reveal that research output has grown steadily, dominated by technologically advanced nations such as China, India, and the United Kingdom. The thematic mapping identifies core clusters, including transparency, E-government, and public sector innovation, alongside emerging themes such as artificial intelligence (AI) integration, smart cities, and digital transformation. By integrating bibliometric and thematic analyses, this study offers a comprehensive understanding of how blockchain research evolves within public governance. Despite significant progress, challenges remain, particularly regarding empirical validation, governance frameworks, and regional disparities in adoption. Future research should explore a more complex roadmap for blockchain implementation in government through three interrelated dimensions: technical development, policy and regulatory frameworks, and socio-institutional adaptation. This multidimensional perspective underscores blockchain’s capacity to support secure, inclusive, and data-driven forms of digital governance.