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All Journal Teknik dan Ilmu Komputer Jurnal Mechanical Prosiding Seminar Nasional Teknoka Dinamisia: Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL KAJIAN TEKNIK MESIN SULUH: Jurnal Abdimas Jurnal Konversi Energi dan Manufaktur Jurnal Pengabdian kepada Masyarakat Nusantara Prosiding SNAST Metalik: Jurnal Manufaktur, Energi, Material Teknik
Nofendri, Yos
(Scopus ID : 57210232429) Teknik Mesin Universitas Muhammadiyah Prof. DR. Hamka
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Pengaruh Pendinginan terhadap Daya Keluaran dan Efisiensi Sistem Panel Surya Efendi, M Shofriyan; Rifky, Rifky; Nofendri, Yos; rohman, Nur
METALIK : Jurnal Manufaktur, Energi, Material Teknik Vol. 3 No. 2 (2024): Metalik: Jurnal Manufaktur, Energi, Material Teknik
Publisher : Universitas Muhammadiyah PROF. DR. HAMKA Fakultas Teknik – Program Studi Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/metalik.v3i2.16777

Abstract

Salah satu aplikasi energi terbarukan yang memanfaatkan energi matahari adalah panel surya atau sistem fotovoltaik. Kinerja sistem fotovoltaik dipengaruhi oleh besarnya intensitas cahaya matahari dan temperatur permukaan panel surya itu sendiri. Penelitian ini mencoba mengatasi masalah temperatur tersebut dengan membuat sistem pendingin yang dirangkai pada bagian bawah panel surya. Tujuan penelitian yang ingin dicapai adalah untuk mendapatkan daya keluaran dan efisiensi sistem fotovoltaik yang maksimal dengan memasang sistem pendingin. Sistem fotovoltaik diekspos ke arah utara sepanjang hari. Sistem fotovoltaik tanpa menggunakan sistem pendingin dan yang menggunakan sistem pendingin dioperasikan dengan waktu pengukuran parameter yang sama. Parameter yang diukur adalah intensitas cahaya, kecepatan angin, debit air, temperatur lingkungan, temperatur panel surya, temperatur pendingin, tegangan listrik dan arus listrik. Hasil dari penelitian menunjukkan bahwa daya keluaran (P_out) tanpa sistem pendingin sebesar 44,439 watt dan daya keluaran (P_out) dengan sistem pendingin sebesar 49,181 watt. Efisiensi sel surya tanpa sistem pendingin sebesar 13,541% dan sel surya dengan sistem pendingin sebesar 14,162%. . Hal ini menunjukkan bahwa sistem pendingin dapat meningkatkan kinerja sel surya. One of the applications of renewable energy that utilizes solar energy is solar panels or photovoltaic systems. The performance of the photovoltaic system is influenced by the amount of sunlight intensity and the surface temperature of the solar panel itself. This research tries to solve the temperature problem by making a cooling system that is strung at the bottom of the solar panel. The research objectives to be achieved are to obtain the maximum output power and efficiency of the photovoltaic system by installing a cooling system. The photovoltaic system is exposed north throughout the day. Photovoltaic systems without the use of cooling systems and those using a cooling system are operated with the same parameter measurement time. The parameters measured are light intensity, wind speed, water discharge, environmental temperature, solar panel temperature, cooling temperature, electric voltage and electric current. The results of the research show that the output power (P_out) without a cooling system of 44.439 watts and an output power (P_out) with a cooling system of 49.181 watts. The efficiency of solar cells without a cooling system was 13,541% and a solar cell with a cooling system was 14,162%. . This shows that the cooling system can improve the performance of solar cells.
Pengujian Komposit Serat Alami Rizki Romadon Siregar; Yos Nofendri
Prosiding Seminar Nasional Teknoka Vol 10 (2025): Proceeding of TEKNOKA National Seminar - 10
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Over the past two decades, driven by growing awareness of environmental sustainability and the availability of renewable resources, the development of natural fiber-reinforced composites has progressed significantly. This review summarizes recent studies on the mechanical behavior of composites reinforced with bamboo, coconut, and oil palm fibers. The discussion focuses on the effects of chemical treatments on tensile, flexural, and impact strength, based on 24 peer-reviewed articles indexed in Scopus and Google Scholar from 2020 to 2025. Results indicate that alkali treatment using 5–10% NaOH improves tensile strength by up to 40% and flexural strength by 25% compared to untreated composites. Moreover, hybridization of bamboo and oil palm fibers enhances impact energy absorption by approximately 30%. Overall, mechanical performance strongly depends on fiber orientation, volume fraction, and interfacial bonding. This review provides a comprehensive synthesis for developing sustainable composites for future structural and automotive applications.
Utilization of Data Mining on MSMEs using FP-Growth Algorithm for Menu Recommendations Firman Noor Hasan; Achmad Sufyan Aziz; Yos Nofendri
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i2.2166

Abstract

Existing transaction data is only recorded and stored as a sales transaction memorandum, so it has not been utilized optimally. The data is only stored and used as transaction history. The availability of a lot of data and having a pattern of sales transactions that are similar to MSME Cafe Over Limit will be utilized by using data mining science. This research uses the association rules method. Implementation of fp-growth to get item combinations. The purpose of this research is to make it easier for MSMEs to determine menu recommendations for customers. The fp-growth algorithm is used to process as many as 2038 transaction data with a minimum support value of 10%, while for a minimum confidence value of 50%. So that there are 3 rules, namely "if you order Mariam chocolate cheese milk then the customer will order Kopsus Overlimit", from this rule it will form a support value of 10.79%, using a confidence value of 54.19% and a lift ratio of 0.93. Furthermore "if you order Kopsus Overlimit then you will order tofu at grandma's house", from the rule it will produce a support value of 34.69%, with a specified confidence value of 59.76%, so the lift ratio value is 1.15. The last rule "if you order tofu at grandma's house, the customer orders Kopsus Overlimit", from the rule that occurs, the support value is 34.69%, with a confidence value of 66.7% and a lift ratio of 1.15. The results of the study found the two best rules, namely "if the customer orders over-limit Kopsus, he will order tofu at grandma's house" and "if he orders tofu at grandma's house, the customer orders over-limit Kopsus". Based on the results of the rules formed, it can be concluded that only two rules can be categorized as valid and can be used as a reference in food and beverage menu recommendations at MSME Cafe Over Limit. So the results of this study can be useful to be applied to MSMEs, especially in terms of menu recommendations.
Co-Authors Achmad Sufyan Aziz Afdhal Fuaddy Agus Haryanto Aldi fadillah Ardiansyah, Dicky Syahril Aryo Hartanto Aribowo Ashura, Amar Asnan Wahyudi Atiqah Mutia Boy Martino Cahyono, Fajar Nur Choirul Prayoga Dan Mugisidi Delvis Agusman Didik Sugiyanto Dwi ASTUTI Eef syaifuloh Efendi, M Shofriyan Emilia Roza Evan Christian Fadhlurrahman Zaki Ferdiansyah, Zulkarnain Ferry Budhi Susetyo Firman Noor Hasan Firman Noor Hasan Galih Panji Saputro Gusto Arif Tansah Harini _ Hendi Saryanto Hidayat, M Fajri Hidayat, M. Fajri Ihsan Ady Prasetyo Irfan Ricky Affandi M Fajri Hidayat M Mujirudin Muchammad Sholeh Muhammad Yazid N, Kevin Sigit Dwi Naufan Erzha Sulistiono Nur Rohman Oktarina Heriyani Rifky, Rifky Riyan Ariyansah Rizki Romadon Siregar Rosalina Rosalina Saidah, Andi Siska Titik Dwiyati Siswanto, Muhamad Helmi Sopiyan Sopiyan Sri Endah Susilowati Susetyo, Ferry Budhi Syamsuir Syamsuir Syamsuir Syaripuddin Syaripuddin Tegar Imaniar Kusnanto Yoga Aditya