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Contact Name
Prihatin Oktivasari
Contact Email
jalaludin.rasyid@pnj.ac.id
Phone
+62818864451
Journal Mail Official
p3m@pnj.ac.id
Editorial Address
Jl. Prof. DR. G.A. Siwabessy, Kukusan, Kecamatan Beji, Kota Depok, Jawa Barat 16424
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Kota depok,
Jawa barat
INDONESIA
JURNAL POLI-TEKNOLOGI
ISSN : 14122782     EISSN : 24079103     DOI : https://doi.org/10.32722/pt.v20i1
Poli-Teknologi Journal is a journal, which began publication in 2002, published by the Research and community service Unit of Politeknik Negeri Jakarta. It starts from Volume 1 Number 1 in January 2022 for printed version; ISSN (print) 1412-2782 and ISSN (online) 2407-9103. Poli-Teknologi Journal is a series of scientific publications in applied science and technology area from the perspective of a multi and interdisciplinary studies and it is published 3 times in year.
Articles 5 Documents
Search results for , issue "Vol. 23 No. 1 (2024)" : 5 Documents clear
Analisa Perbandingan Komposisi Agregat Halus Pasir Kuarsa dan Fly Ash pada Beton Geopolymer Berbasis Binder Kalium Hidroksida Terhadap Kuat Tekan dan Daya Serap Beton Indah Rosanti; Rona Ariyansyah; Satriyo Utomo; Lelly Marini; Indah Permatasary; Mega Septiani Mega
Jurnal Poli-Teknologi Vol. 23 No. 1 (2024)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v23i1.6037

Abstract

The development of concrete construction has the impact of increasing cement production anddamaging the balance of nature because every 1kg of cement production produces CO2 emissionsof 0.5 - 0.7 kg. To reduce this iMPact, geopolymer concrete innovation was formed. Geopolymerconcrete is formed from the polymerization reaction of silica (Si) and alumina (Al) compoundsfound in quartz sand and fly ash waste from burning coal which has binding properties like cement.Fly ash reacts with alkaline activators of potassium hydroxide (KOH) and sodium silicate(Na2SiO3). The research method used is a quantitative method with experimental studies in thelaboratory. Geopolymer concrete mix design refers to previous research. Geopolymer concrete testobjects are cylindrical with a size of 100 x 200 mm. There are 2 variations of the composition ofalkali activator forming geopolymer concrete, namely 8M KOH concentration, alkali activatorratio of 1:1 mol ratio and 10M KOH, alkali activator ratio of 1:1.5 mol ratio. The composition offly ash and quartz sand for each binder was 20%:80%, 40%: 60%, 50% : 50%, 60% : 40%,80%:20% with a total of 36 samples. Testing compressive strength and absorption at the age of 14and 28 days. The results of the compressive strength obtained ≤ 50 MPa where the concrete doesnot include high quality concrete and not for the needs of precast construction. The results ofaverage concrete absorption reached 3,72%, which already met the permissible absorption of amaximum of 10%. Keywords: Fly Ash, Quartz Sand, Potassium Hydroxide, Geopolymer Concrete.
Utilization of Single Phase Pure Sine Wave Inverters in Electrical Energy Conversion Systems for Solar Panels with Variable Loads Yudi Wijanarko; Ekawati Prihatini; Selamat Muslimin; Nyayu Latifah Husni; Muhammad Khoirun Nadir
Jurnal Poli-Teknologi Vol. 23 No. 1 (2024)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v23i1.6478

Abstract

The inverter built in this research is used to convert direct current into alternating current with a size of 3000 watts, which has a DC input voltage of 24 volts. This inverter has a large capacity and can generate enough electricity to run different huge electrical devices or several units at once. It's made utilizing energy-efficient technology to cut down on energy waste during conversion. Furthermore, safeguards such voltage surge and overcurrent prevention guarantee the operational safety of the inverter. The inverter was built using the PWM method and variable loads (resistive load, inductive load and capacitive load), with the aim of evaluating the inverter's ability to handle resistive, inductive and capacitive loads and to see how the inverter responds to load changes dynamically. Based on observations and calculations, higher loads are positively correlated with higher inverter power and efficiency. The inverter has a max output of 664.62 watts and 229 Volt is the output voltage attained. This demonstrates that the EGS002 PSW inverter produces AC voltage of high quality with precise and steady characteristics.
Trip Generation Model of Sawah Baru Residential, Ciputat District, South Tangerang Municipality Adinda Rifqi Aprilliana Haryanta; Verdy Ananda Upa; Eka Apriliasi
Jurnal Poli-Teknologi Vol. 23 No. 1 (2024)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v23i1.6503

Abstract

Traffic congestion in Ciputat area due to increasing of trip generation unsupported by transportation facilities and adequate road network. Generally, solution that implemented is road network capacity upgrades with widening based on trip generation analysis. The purpose of this research to determine trip generation model, total of trip generation, factors that influence of trip generation, and characteristics of trip users on Sawah Baru residence Ciputat Tangerang Selatan. The research method used by household interview survey about number of family members, amount of income per month, number of people working, number of students, number of vehicle owners, amount of transportation costs per month, also trip data from family members daily. Data that has been collected then analyzed with multiple linear regression method used SPSS 25.0 application with significant level 95%. Trip generation model of Sawah Baru residence can be attained Y = 0,450 +0,833 X1 with R2(R square) = 0,833. Total of trip generation that is generated by Sawah Baru residence = 333 trip/day. Based on t Test with significant level <0,05, therefore an influential factors are number of family members, amount of family income, number of people working, number of students, vehicle owners, and transportation cost.
Trip Attraction Model at Elementary Schools in Suradita Valley Cisauk District Tangerang Municipal 2022 Safira Sulisiani; Verdy Ananda Upa; Nur Hakim
Jurnal Poli-Teknologi Vol. 23 No. 1 (2024)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v23i1.6504

Abstract

Activity in schools area located in the Suradita Village area has the potential to cause traffic congestion because the schools start time coincides with the rush hour for work. This is due to the fact that the schools do not have a designated area for dropping off passengers, which forces vehicles transporting students to stop or park on the road, reducing the road’s capacity. The purpose of this research to determine trip attraction model, totals of trip attraction, factors that influence of trip attraction, and trip rate on SDN Rahayu, SDN Suradita, MIS Nurul Falah area. The research method used is interview to students, teachers, and staffs about trip data, also secondary data collection were amount of students, teachers, and staffs, land area, floor space, amount of classrooms, parking area of SDN Rahayu, SDN Suradita, MIS Nurul Falah area. Data that has been collected then analyzed with multiple linear regression method used SPSS 25.0 application with significant level 95%. Trip attraction model of SDN Rahayu, Suradita, and MIS Nurul Falah can be attained YSMDS = 0,998 + 0,199 JS + 0,067 JGK – 0,071 JRK with R2 (R square) = 0,636. Total of trip attraction that is generated by SDN Rahayu, SDN Suradita, MIS Nurul Falah area = 463 trip attraction/day. Based on t Test with significant level <0,05, therefore an influential factors are amount of students, teachers, and staffs, also amount of classrooms. Trip rate of SDN Rahayu, SDN Suradita, and MIS Nurul Falah = 0,9 people/m2 or 9 people/100m2.
Designing A Pdf Malware Detection System Using Machine Learning Salman Abdul Jabbaar Wiharja; Deden Pradeka; Wirmanto Suteddy
Jurnal Poli-Teknologi Vol. 23 No. 1 (2024)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v23i1.6540

Abstract

This research proposes an approach to build malicious PDF detection system using random forest algorithm, focusing the Evasive-PDFMal2022 dataset which is updated and extended with the addition of new datasets. This dataset includes malicious PDF files from CVE and Exploit-DB, non-malicious PDF files, as well as files from private collections and Technically-oriented PDF Collection. Features were extracted using the PDFID tool, resulting in 29 structural features that formed the basis for the Random Forest classification algorithm. Experiments showed that the model trained with the new dataset provided accuracy equivalent to the Evasive-PDFMal2022 model, at 98%, albeit with a small decrease in recall for the benign class. In addition, this research involved the creation of a website for metadata extraction and malicious PDF detection. Recognition goes to the dataset contributors, tool developers, and dataset providers from NIST and Exploit-DB. Overall, this research successfully increased the representation and diversity of the dataset, provided good model training results, improved detection from 3 malicious PDF variants to 13 variants, and created a practical tool for malicious PDF extraction and detection. Nonetheless, further development may be required to improve detection performance in more complex scenarios

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