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Ridho Akbar
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Prodi S1 Teknik Industri Gedung At-Tauhid Lantai 3 Universitas Muhammadiyah Surabaya Jalan Sutorejo No 59 Surabaya, Jawa Timur, Indonesia 60113 Email: mine-tech@um-surabaya.ac.id
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Journal of Manufacturing in Industrial Engineering & Technology
Published by Universitas Muhammadiyah Surabaya
ISSN : -     EISSN : 29853516     DOI : https://doi.org/10.30651/mine-tech
Core Subject : Health, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Public Health Other
MINE-TECH: Journal of Manufacturing in Industrial Engineering & Technology (E-ISSN: 2985-3516) diterbitkan oleh Universitas Muhammadiyah Surabaya Publishing yang terbit setiap bulan Juni dan Desember. MINE-TECH menyediakan forum penyebaran hasil penelitian baru berupa manufaktur di bidang sistem industri dan teknologi industri. Jurnal ini tertarik pada pendekatan yang memanfaatkan kolaborasi bidang keilmuan lain. Topik yang tercakup di jurnal ini antara lain: Supply Chain & Logistic, Operations Research, Planning & Scheduling, Quality & Reliability, Industrial Food, Pharmacies, and Medic, Halal Industry, Enterprise Engineering, Project Management, Energy & Environmental Management, Decision Analysis, System & Digital Manufacturing, Occupational Safety and Health, Computational Intelligence Service & Healthcare System, Data Mining, Other Relevant Study Topics
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 58 Documents
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Identifikasi Pneumonia pada Balita melalui Citra X-ray Menggunakan Metode Convolutional Neural Network (CNN) Kurniawati, Indah; Akbar, Ridho; Ardina Kusuma, Yessie; Fahma Kusumawati, Izza
Journal of Manufacturing in Industrial Engineering & Technology Vol 3 No 1 (2024): Journal of Manufacturing in Industrial Engineering & Technology
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v3i1.23391

Abstract

Background: Pneumonia is a respiratory infection that can be life-threatening if not properly diagnosed and treated. The diagnosis of pneumonia currently relies on the expertise of pulmonologists to evaluate chest X-ray results. Therefore, there is a need for technology that can assist doctors in analyzing X-ray images quickly and accurately. Methods: This study employs Convolutional Neural Networks (CNN) to classify chest X-ray images into three classes: Normal, Mild Pneumonia, and Severe Pneumonia. Several experiments were conducted by varying the number of epochs, dataset size, image resolution, and the number of hidden layers to achieve accurate identification results. Results: The final testing results showed that using 15 epochs, 5 hidden layers, and a dataset of 5700 images for classification with CNN can achieve a training accuracy of 92.48% and a validation accuracy of 91%. Results from 50 chest X-ray images indicated identical identification accuracy between the readings by doctors and the proposed method, with doctors taking 15 minutes to read and the proposed method taking only 0.2 seconds with an identification accuracy of 100%. Conclusion: This study demonstrates that the proposed method can assist pulmonologists in diagnosing pneumonia with high diagnostic accuracy and short diagnosis time, thereby helping to improve the quality of healthcare services. Recommendations: This study recommends the use of CNN as a method for diagnosing pneumonia in chest X-ray images.
Tingkat Pemahaman 7 Prinsip HACCP pada Pelaku UMK Makanan dan Minuman Kecamatan Kenjeran Kota Surabaya Saputro, Andre Ridho; Adiaksa, Fitrah Thoriq; Putra, Andhika Cahyono
Journal of Manufacturing in Industrial Engineering & Technology Vol 2 No 2 (2023): Journal of Manufacturing in Industrial Engineering & Technology
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v2i2.23598

Abstract

Kenjeran is one of the sub-districts in the city of Surabaya. The majority of local residents' livelihoods are as food and beverage SME. To maintain food quality and safety, an analysis is needed to identify the dangers that exist during the process of making food or beverage products and provide recommendations for developing a food safety system, namely through the HACCP (Hazard Analysis and Critical Control Point) system. There are 7 main principles that exist in the HACCP system which consists of 24 questions distributed to MSME actors in Kenjeran District, Surabaya City. Validation and reliability tests were carried out on each question item using the Cronbach's alpha method. Based on the results of descriptive statistical analysis using the mean (average) and mode methods, it can be concluded that the value produced in the analysis dominates number 3 and the highest average value is found in principle 6 with an average of 3.16. From this average value, it can be interpreted that the level of understanding of MSME actors in Kenjeran District, Surabaya City is quite understanding or often enough in checking and cleaning raw materials, production processes and workers in the production environment. There are several principles that have a low average value, namely principle 1 of 2.87 and principle 5 of 2.89, meaning that it can be said that the level of understanding of SME actors in Kenjeran District, Surabaya City is somewhat lacking. Improvements that can be made are by conducting training and counseling regarding the HACCP system which must be followed by all SME actors, whether from Kenjeran District or other sub-districts in the city of Surabaya, as well as increasing government regulations regarding increasing resources to prepare SME actors who are better prepared.
Perancangan dan Analisis dari Kinerja Turbin Angin Tipe Horizontal Tiga Blade dengan Bahan PVC Suhariyanto; Batutah, Moh. Arif; Muttaqin, Mohammad Zainal
Journal of Manufacturing in Industrial Engineering & Technology Vol 3 No 2 (2024): Journal of Manufacturing in Industrial Engineering & Technology
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v3i2.23775

Abstract

Indonesia memiliki potensi sumber daya alam yang melimpah termasuk potensi energi angin yang sangat besar dalam mengembangkan energi terbarukan berupa turbin angin. Penelitian ini memfokuskan pada turbin angin sumbu horizontal untuk mengetahui kinerja yang dapat dihasilkan oleh turbin angin. Metode yang digunakan adalah pengukuran secara langsung kecepatan angin, putaran poros turbin dan generator, serta tegangan yang dihasilkan dalam kondisi tanpa beban dan berbeban. Hasil penelitian menunjukkan bahwa ketika kecepatan angin 4.0 m/s maka turbin angin dapat menghasilkan daya angin sebesar 19,68 watt, daya generator 3,80 watt, daya turbin 3,99 watt dengan efisiensi sebesar 20,30 %. Sedangkan pada kecepatan angin 5,4 m/s turbin angin dapat menghasilkan daya angin sebesar 48,42 watt, daya generator 11,30 watt daya turbin 11,89 watt dengan efisiensi 24,56 %.
Analisis Throttle Position Sensor (TPS) Standart dan Racing dengan Dua Variasi Bahan Bakar terhadap Kinerja Vario 125 Batutah, Moh. Arif; Suhariyanto; Syafiuddin
Journal of Manufacturing in Industrial Engineering & Technology Vol 3 No 2 (2024): Journal of Manufacturing in Industrial Engineering & Technology
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v3i2.23776

Abstract

Salah satu cara untuk meningkatkan performa motor yaitu mengganti TPS standart dengan racing berbahan bakar Pertalite dan Shell V-Power. Penelitian ini bertujuan untuk mengamati pengaruhnya terhadap torsi, daya, BEMP, FC, SFC, dan efisiensi thermal pada engine Vario 125. Data dikumpulkan melalui dua pengujian pertama dengan bahan bakar Pertalite menggunakan sensor TPS standar dan racing, dan kedua dengan bahan bakar Shell V-Power menggunakan alat dynotest, tachometer, dan buret. Hasil penelitian menunjukkan bahwa penggunaan sensor TPS standartdan racing dengan bahan bakar Pertalite dan Shell V-Power memiliki pengaruh nyata terhadap performa mesin. Torsi maksimum dicapai pada putaran 3000 RPM, dengan sensor TPS racing berbahan bakar Pertalite sebesar 19,15 Nm. Daya maksimum didapatkan dari penggunaan sensor TPS standart berbahan bakar Shell V-Power yaitu 9,5 HP pada putaran 8000 RPM. Tekanan efektif rata-rata maksimum didapatkan pada putaran 3000rpm yaitu 19,440 kgf/cm2. Nilai FC dan SFC paling rendah tercapai saat menggunakan sensor TPS standart dengan bahan bakar Shell V-Power, dengan nilai masing-masing 0,18 kg/jam dan 0,026 kg/HP.jam pada putaran 2000 RPM. Untuk nilai efisiensi thermal maksimumnya sebesar 53,42% terdapat pada putaran 3000 RPM.
Perancangan Arduino Uno pada Design Mesin Pick and Place Sorting Colour Automation untuk Meningkatkan Produktivitas sutita, yuwono izzah; Irwan, Heri
Journal of Manufacturing in Industrial Engineering & Technology Vol 3 No 2 (2024): Journal of Manufacturing in Industrial Engineering & Technology
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v3i2.23987

Abstract

Arduino Uno is an open-source microcontroller based on the Atmel AVR microcontroller. Arduino Uno allows users to design and develop various electronic projects easily. Arduino Uno uses an Integrated Circuit (IC), namely the ATMega328P microcontroller. Arduino Uno is designed to be easy to use even for beginners. There are many tutorials and communities ready to help. Arduino Uno is used to control the rotation of the Sg90 servo motor, and to read the color on the TCS3200 sensor, and. The purpose of this journal is to find out what components are used to control input/output and also how to write a program from the Arduino Uno. From the results of this journal, we can find out what components are used in the pick and place sorting color automation robot machine and for making machine designs. From this design, it is expected to be able to control the pick and place sorting color automation robot machine simultaneously
Implementasi Metode Root Cause Analysis (RCA) untuk Mengendalikan Reject Produk NP Project di PT. XYZ Sitompul, Mimi Aprija
Journal of Manufacturing in Industrial Engineering & Technology Vol 3 No 2 (2024): Journal of Manufacturing in Industrial Engineering & Technology
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v3i2.24157

Abstract

PT. XYZ is a company engaged in the electronics manufacturing industry located in the city of Batam, Riau Islands. One of the Departments of PT. XYZ is a Surface Mount Technology (SMT) Department that operates in the manufacture of Printed Circuit Board Assembly (PCBA). One of the products produced is the NP Project, this study aims to find out the largest type of rejection produced by the production line. The improvements made to control rejections in NP project products in this study use the Root Cause Analysis (RCA) method to find the root cause of reject problems that occur in NP products, After conducting the research it was found that the most dominant type of rejection is the gap component, Before conducting this study, the number of The rejection of the gap component was 9.39% after the research was carried out, the number of rejections decreased to 0.89%.
Penerapan Metode Time Cost Trade Off untuk Optimasi Biaya dan Waktu pada Pengaruh Redesign Struktur Bawah (Studi Kasus: Proyek Pembangunan Klinik Utama Mata Jec Java @Pasuruan Tahap 1) Doris Zhaputro, Moch. Aldy; Darjanto, Helmy; Conytin Nugrahini, Fibria
Journal of Manufacturing in Industrial Engineering & Technology Vol 3 No 2 (2024): Journal of Manufacturing in Industrial Engineering & Technology
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v3i2.24621

Abstract

ABSTRACT An implementation period of construction projects would usually often experience the risk of delays in the project schedule. It can be caused by various obstacles that occur in the field even though the project has begun with careful planning and scheduling. The delay has a direct result in increasing the duration of implementation and also the cost of implementing the project. One way to overcome these delays is to implement acceleration in implementation so that the project can achieve the target as planned. However, it must also be accompanied by consideration of financing factors in order to achieve minimum costs with quality standards that remain achieved. This acceleration can be done, one of which is by adding working hours (overtime). This research took a case study on the construction project of the JEC Java @Pasuruan Eye Clinic Main Clinic Building which experienced obstacles in foundation work, causing delays in project implementation. To overcome the problem of delay, the acceleration of the time needed would be calculated. The method that will be used is the Time Cost Trade-Off, in which the duration of the work is compressed to get a more profitable project implementation period in terms of time (duration), cost, and income. This research implemented the Crashing Program by using an alternative method of adding working hours (overtime). Crashing was carried out on a critical trajectory obtained from the results of network planning analysis in Microsoft Project 2016. The results showed that by applying the Time Cost Trade-Off method with the alternative of adding 4 hours of work (overtime), the optimal duration of the project was 91 days with an optimal cost of Rp 2,072,972,561. Keywords: Time Cost Trade-Off, Program Crashing, Addition of Working Hours.
Evaluasi Peramalan Kebutuhan Bahan Baku Menggunakan Metode Single Moving Average (SMA) dengan Periode 2 dan 3 di PT. Graha Mutu Persada Shafa, Amanda Nurul; Akbar, Ridho; Kusuma, Yessie Ardina
Journal of Manufacturing in Industrial Engineering & Technology Vol 2 No 2 (2023): Journal of Manufacturing in Industrial Engineering & Technology
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v2i2.26357

Abstract

PT. Graha Mutu Persada, sebuah perusahaan yang bergerak di bidang jasa analisis kualitas lingkungan di Mojokerto, Indonesia, mengalami kendala dalam manajemen persediaan bahan kimia karena pembelian dilakukan hanya ketika stok habis, padahal waktu pemesanan memerlukan lead time 1-2 hari. Untuk mengatasi masalah ini, penelitian ini bertujuan untuk meramalkan kebutuhan bahan kimia guna memastikan pemesanan dilakukan sebelum stok habis. Metode yang digunakan dalam penelitian ini adalah Single Moving Average (SMA) dengan periode 2 dan periode 3. Evaluasi peramalan dilakukan menggunakan dua indikator akurasi: Mean Absolute Deviation (MAD) dan Mean Square Error (MSE). Hasil penelitian menunjukkan bahwa metode SMA dengan periode 2 dan periode 3 memiliki keunggulan masing-masing tergantung pada jenis bahan kimia. Untuk bahan kimia Glass Microfiber 47mm (TSS), SMA dengan periode 2 menghasilkan nilai MAD terkecil sebesar 650, sedangkan SMA dengan periode 3 menghasilkan nilai MSE terkecil sebesar 659.867,67. Pada bahan kimia Microfast Cunt Plates Aerobic (AC), SMA dengan periode 3 menunjukkan kinerja terbaik dengan nilai MAD terkecil sebesar 493,533 dan nilai MSE terkecil sebesar 266.952,11. Di sisi lain, pada bahan kimia Glass Microfiber Filter (HVAS/sesaat), SMA dengan periode 2 memberikan hasil terbaik dengan nilai MAD terkecil sebesar 266,833 dan nilai MSE terkecil sebesar 110.883,58. Dari hasil ini, dapat disimpulkan bahwa metode SMA, baik dengan periode 2 maupun periode 3, efektif dalam meramalkan kebutuhan bahan kimia di PT. Graha Mutu Persada.

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