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All Journal Jurnal Rekayasa Mesin BAREKENG: Jurnal Ilmu Matematika dan Terapan JISA (Jurnal Informatika dan Sains) Inferensi Jurnal Teknik Industri Terintegrasi (JUTIN) Prosiding Seminar Nasional Teknik Sipil UMS Jurnal Penelitian Multidisiplin Bangsa KOLECER: Scientific Journal of Mechanical Engineering
FIRMANSYAH, MOCHAMMAD
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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PERENCANAAN SISTEM ALIRAN FLUIDA PADA RANCANG BANGUN HEAT EXCANGER TYPE SHELL AND TUBE FIRMANSYAH, MOCHAMMAD
Jurnal Rekayasa Mesin Vol 4, No 03 (2018): JRM. Volume 04 Nomor 03 Tahun 2018
Publisher : Jurnal Rekayasa Mesin

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Abstract

Abstrak Perkembangan ilmu pengetahuan dan teknologi semakin modern khususnya dibidang produksi. Suatu alat peraga bagi pendidikan sangat penting khususnya dibidang produksi. Namun dalam dunia pendidikan pembelajaran dengan menggunakan alat peraga Heat Exchanger khususnya pada tipe shell and tube kurang memadai. Tujuan dari tugas akhir ini adalah untuk membuat alat sebagai media pembelajaran praktik perpindahan panas. Perencanaan sistem aliran pluida proses pengerjaan meliputi: (1) mendesain alat, (2) pemilihan bahan, (3) pengukuran bahan, (4) Perakitan, (5) Penghitungan. Dalam pembuatan media pembelajaran alat peraga Heat Exchanger yang berkonsentrasi pada sistem aliran, untuk pemilihan tipe menggunakan tipe shell and tube. Hasil penelitian diperoleh efektivitas tertinggi pada lpm 10 yaitu sebesar 37,4 % dengan laju perpindahan panas yang terjadi  sebesar 5105,30 watt. Sedangkan untuk lpm 8 didapatkan nilai efektivitas sebesar 29,4 % dengan laju perpindahan panas yang terjadi sebesar 4011,10 watt dan untuk lpm 4 didapatkan nilai efektivitas terendah sebesar 24 % dengan laju perpindahan panas yang terjadi hanya  sebesar 3272,17 watt. Dengan demikian dapat disimpulkan semakin tinggi lpm maka akan meningkatkan efektivitas heat exchanger.             Kata kunci : Rancang bangun, aliran fluida, efektivitas
Consistency Ratio terhadap Implementasi Green Construction dalam Proyek Konstruksi di Kota Surabaya Pradana, Aditya; Beatrix, Michella; Firmansyah, Mochammad
Prosiding Seminar Nasional Teknik Sipil UMS 2025: Prosiding Seminar Nasional Teknik Sipil UMS
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Pertumbuhan pesat sektor konstruksi di Indonesia turut mendorong pembangunan nasional, namun juga menimbulkan dampak negatif terhadap lingkungan, seperti pemanasan global. Untuk mengurangi dampak tersebut, diperlukan inovasi melalui penerapan green construction, yaitu strategi pengelolaan kegiatan konstruksi yang efisien dan ramah lingkungan guna mendukung pembangunan berkelanjutan. Penelitian ini bertujuan untuk menganalisis tingkat konsistensi penilaian responden dalam proses pengambilan keputusan terkait penerapan green construction di Kota Surabaya melalui perhitungan Consistency Ratio (CR). Penelitian kuantitatif deskriptif ini bertujuan mengetahui preferensi responden terhadap penerapan green construction di Kota Surabaya. Sebanyak 60 responden sebagai sampel yang dipilih secara purposive sampling berdasarkan keterlibatan aktif dalam proyek konstruksi. Analisis dilakukan menggunakan metode AHP dengan menghitung nilai λmaks sebesar 7,03, Consistency Index (CI) sebesar 0,005, dan Consistency Ratio (CR) sebesar 0,0039. Nilai CR yang jauh di bawah batas toleransi 0,10 menunjukkan bahwa penilaian responden kriteria Y bersifat konsisten, sehingga hasil perbandingan berpasangan dari ketujuh kriteria dinyatakan valid. Maka hasil penelitian ini dapat digunakan sebagai acuan dalam pengambilan keputusan serta pengembangan kebijakan konstruksi ramah lingkungan di masa depan.
Analisis Penambahan Limbah Karbit Sebagai Substitusi Semen Terhadap Kuat Tekan Mortar Pratama, Eza Dafa; Rochmah, Nurul; Firmansyah, Mochammad
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.45594

Abstract

Cement, as one of the ingredients in making mortar, has a significant impact on the environment. As an alternative to the use of cement, carbide waste can be used as a substitute for cement. Carbide waste is a by-product of the welding industry in the form of a grayish solid. One of the contents of carbide waste is CaO, CaO itself is one of the contents of cement. The CaO element has potential in making mortar and can increase compressive strength. This study aims to analyze the impact of adding carbide waste as a partial substitute for cement to the mortar mixture. In this study, the percentage of carbide waste addition as a cement substitute was 0%, 2.5%, 5%, 7.5%, and 10%. This study aims to determine the optimum percentage of the mortar mixture with the addition of carbide waste. The research method used includes laboratory testing of the mortar mixture with varying levels of carbide waste to analyze the compressive strength. The results of this study concluded that the most optimum mortar compressive strength is at a percentage of 7.5% with a compressive strength of 29,430 MPa. However, at a percentage above 7.5% the compressive strength of the mortar decreased.
MODELING CHRONIC FILARIASIS CASES IN WEST JAVA USING A MULTIVARIATE ADAPTIVE APPROACH REGRESSION SPLINES Kurniawan, Ardi; Firmansyah, Mochammad; Saifudin, Toha
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1249-1260

Abstract

One of the most crippling infectious diseases in the world is filariasis. Indonesia is a unitary country with 34 provinces, where West Java is one of the 5 provinces with the most filariasis sufferers in Indonesia as of 2021. Reinfection occurs in places that have implemented POMP. Therefore, monitoring operations must be carried out to track the emergence of new cases and risk factors for transmission. The aim of this research focuses on describing and modeling the number of chronic filariasis in West Java, as well as interpreting the best model results obtained. The method used is a method with a nonparametric regression approach, namely Multivariate Adaptive Regression Spline. The results of the research show that the best model obtained is a combination of 15 base functions, maximum interaction 2, and minimum observation between knots 1. From this model, the predictor variable that has the most influence on the response variable in order based on the level of variable importance is the Percentage of Population Access to Facilities Decent Sanitation, Percentage of Households with Clean and Healthy Behavior (PHBS), Sex Ratio, and Percentage of Poor Population. The interpretation of the best model is that the variable Percentage of Population Access to Adequate Sanitation Facilities above 6,650% will contribute to a reduction in the number of chronic filariasis; the Sex Ratio variable below 103,300 will contribute in the form of a reduction in the number of chronic filariasis. it can be seen that the predictor variable that has the most influence on the response variable is the variable Percentage of Population Access to Proper Sanitation Facilities with an importance level of 100%.
Pengaruh Variasi Kecepatan Putaran Spindle Frais Milling Terhadap Sifat Kekasaran Alumunium 6061 Firmansyah, Mochammad; Wati, Dian Anisa Rokhmah; Pramitasari, Retno Eka; Wijanarko, Nadia Parwaty
Jurnal Penelitian Multidisiplin Bangsa Vol. 2 No. 4 (2025): September
Publisher : Amirul Bangun Bangsa Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpnmb.v2i4.552

Abstract

Tujuan dari studi ini adalah untuk mengetahui seberapa kasar benda kerja aluminium 6061 dengan bereksperimen dengan kecepatan putaran spindel mesin frais yang berbeda. Data kekasaran permukaan yang dikumpulkan dari mesin frais dengan kecepatan putaran spindel variabel membentuk sebagian besar temuan studi ini. Studi ini menggunakan teknik penelitian eksperimental, yang berusaha untuk menentukan dampak dari satu variabel pada variabel lain atau kekuatan hubungan sebab akibat antara dua variabel. Temuan studi disajikan sebagai hasil dari uji kekasaran. Hasil uji diperoleh dengan memutar spindel pada kecepatan 410 Rpm, 570 Rpm, dan 660 Rpm, berturut-turut. Nilai kekasaran rata-rata 0,697 µm dihasilkan pada putaran spindel n_3 = 660 Rpm, yang merupakan nilai kekasaran terendah. Pada putaran spindel n_1 = 410 Rpm, nilai kekasaran mencapai puncaknya, dengan kekasaran rata-rata 2,164 µm. Menggunakan kecepatan spindel 570 Rpm dan 410 Rpm menghasilkan hasil yang kurang halus dibandingkan pengujian pada 660 Rpm.  
Comparison of Logistic Regression and Support Vector Machine in Predicting Stroke Risk Safitri, Lensa Rosdiana; Chamidah, Nur; Saifudin, Toha; Firmansyah, Mochammad; Alpandi, Gaos Tipki
Inferensi Vol 7, No 2 (2024)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v7i2.20420

Abstract

The issue of health is the third goal of Indonesia's Sustainable Development Goals (SDGs) which is state to ensuring a healthy life and promoting prosperity for all people at all ages. One of the SDGs’s concerns is deaths caused by non-communicable diseases (NCDs) including strokes. One prevention that can be done is by making a prediction of stroke for early detection. There are various methods available which are statistical methods and machine learning methods. In this research work, we aim to compare the two methods based on statistical method and machine learning method on stroke risk prediction. The data used in this research is primary data from Universitas Airlangga Hospital (RSUA) from June until August 2023. In this research, we compare the statistical method that is Logistic Regression (LR), and the machine learning method which is Support Vector Machine(SVM). We use Phyton to analyze all methods in this research. The results show that SVM with Radial Basis Kernel is better than LR in predicting stroke risk based on three goodness criteria namely sensitivity, F-1 score and accuracy where these three goodness criteria values of SVM are greater than those of LR.
Evaluasi Waktu dan Biaya Proyek Menggunakan Metode Crashing melalui Penambahan Jam Kerja pada Proyek Pembangunan Gedung Diagnostik Terpadu RSUD Sidoarjo Aziz, M Alfariz Akbar; Triana, Masca Indra; Firmansyah, Mochammad
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 4 (2025): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i4.51443

Abstract

This study aims to evaluate the project’s time and cost using the crashing method This study was conducted to evaluate the time and cost performance of a project using the crashing method by extending daily working hours in the Integrated Diagnostic Building Construction Project at RSUD Sidoarjo. The main purpose of this research is to determine the most efficient combination of project duration and cost while calculating the additional expenses resulting from the application of the crashing method. The data were obtained from project schedules, progress reports, and detailed cost breakdowns for each activity. The analysis began by calculating the normal project duration, then comparing it to the results after applying the crashing method through additional working hours of 1, 2, and 3 hours per day. The results show that the original project duration of 200 days can be shortened to 199 days with an extra hour, to 198 days with two additional hours, and to 197 days with three additional hours per day. The total project costs after crashing were IDR 45,320,447,319.55 for one-hour addition, IDR 45,286,606,288.69 for two-hour addition, and IDR 45,252,907,565.9 for three-hour addition.
Pengaruh variasi kecepatan putaran spindle frais milling terhadap sifat kekasaran alumunium 6061 Firmansyah, Mochammad; Wati, Dian Anisa Rokhmah; Pramitasari, Retno Eka; Wijanarko, Nadia Parwaty
KOLECER Scientific Journal of Mechanical Engineering Vol. 1 No. 2 (2025): September 2025
Publisher : Program Studi Teknik Mesin Fakultas Teknik Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/ksjme.v1i2.30720

Abstract

This research aims to determine the roughness level of a 6061 aluminium workpiece by varying the spindle rotation speed in the milling machine. The results of this study are data on surface roughness obtained through variations in spindle rotation speed during milling. This research uses experimental research methods. Methods that aim to test the effect of a variable on other variables or test the causal relationship between one variable and other variables. The results of this study are presented as roughness test results. The test results using spindle rotation n_1  = 410 rpm; n_2 = 570 rpm; n_3  = 660 rpm. The lowest roughness value occurs at spindle rotation n_3 = 660 rpm, producing an average roughness value of 0.697 µm. The highest roughness value occurs at a spindle rotation of n_1 = 410 rpm, yielding an average roughness of 2.164 µm. Testing at 660 rpm yields smoother results than at 570 rpm and 410 rpm.
Implementation of K-Means clustering algorithm in mapping the groups of graduated or dropped-out students in the Management Department of the National University Darwis, Muhammad; Hasibuan, Liyando Hermawan; Firmansyah, Mochammad; Ahady, Nur; Tiaharyadini, Rizka
JISA(Jurnal Informatika dan Sains) Vol 4, No 1 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i1.848

Abstract

This study aims to determine the characteristics of students who are likely to graduate or drop out (DO) in the management department of the National University, Jakarta. The study was conducted by implementing the K-Means algorithm, where each data is grouped according to the closest distance to the centroid. Determination of Cluster C1 graduate or C2 drop out is based on the attributes of status of students (active, leave, out and non-active), educational status (graduated or DO), GPA, total credits taken and length of study. To facilitate the clustering process, Orange tools are used that provide K-Means algorithm features. The total data input in this study were 1988 students from various classes. As a result, a pattern or mapping of graduated or DO students was found based on the attributes mentioned earlier. Testing the results of this cluster with the silhouette method, by measuring the distance between cluster members, both C1 and C2, showed good Silhouetter value, reaching 85%. The management department, National University can use the results of this study to predict the graduation of their students.
Co-Authors Aditya Pradana, Aditya Ahady, Nur Alpandi, Gaos Tipki Ardi Kurniawan Aziz, M Alfariz Akbar Dian Anisa Rokhmah Wati Hasibuan, Liyando Hermawan Michella Beatrix Muh. Darwis Nur Chamidah Nurul Rochmah Pratama, Eza Dafa Retno Eka Pramitasari Safitri, Lensa Rosdiana Tiaharyadini, Rizka Toha Saifudin Wijanarko, Nadia Parwaty