cover
Contact Name
Amri Abdulah
Contact Email
amri@wastukancana.ac.id
Phone
+6285218847880
Journal Mail Official
diki.muchtar@wastukancana.ac.id
Editorial Address
Jl. Cikopak No 53 Sadang, Purwakarta, Jawa Barat
Location
Kab. purwakarta,
Jawa barat
INDONESIA
Teknologika
Jurnal Teknologika adalah wadah informasi berupa hasil penelitian, studi kepustakaan maupun tulisan ilmiah yang terkait bidang ilmu Teknik Informatika, Teknik dan Manajemen Industri, Teknik Mesin dan Teknik Tekstil. Terbit dua kali setahun pada bulan Mei dan November. Artikel Jurnal Teknologika dalam versi cetak telah di-online-kan menggunakan Open Journal System (OJS)
Articles 16 Documents
Search results for , issue "Vol 14 No 1 (2024): Jurnal Teknologika" : 16 Documents clear
Pengaruh Kompensasi dan Motivasi Terhadap Kinerja Kader KB di Desa Campaka Mekar Yudhanegara, Darmawan; Nusantara Dwi Setyo
Jurnal Teknologika Vol 14 No 1 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i1.373

Abstract

This research investigates the influence of compensation and motivation on the performance of Family Planning (KB) cadres in Campaka Mekar Village. KB cadres play a vital role in disseminating information and services at the community level, but they often face challenges related to minimal compensation and low motivation. This study uses a quantitative method with 30 respondents of KB cadres in Campaka Mekar Village. The results of the analysis using Smart PLS 3 show that compensation has a significant positive effect on the performance of KB cadres, while motivation does not have a significant effect. This indicates the need to increase compensation as a strategy to improve the performance of KB cadres. This research provides insights for the development of more effective policies in the implementation of KB programs at the village level. Research result that impact to performance from compansation of 0.907
ANALISIS PENYEBAB PRODUK NOT GOOD PACKING COUMPOUND DENGAN METODE SIX SIGMA DMAIC DI PT. A&A Akhsani Nur Amalia; Anisa Agustina
Jurnal Teknologika Vol 14 No 1 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i1.375

Abstract

Research was conducted to determine the factors that cause the occurrence of not good products in Packing Compound. The research was conducted in the Quality Control department of PT A&A. The analysis was conducted using the Six Sigma DMAIC method. Pareto diagram shows that there are four types of not good that need immediate improvement, namely not good torn, dirty, short mold and visual. Cause analysis was conducted using Failure Mode and Effect Analysis (FMEA). The analysis results prove that human factors, materials, machines and methods are the factors that cause the occurrence of not good products. Therefore, the company needs to increase the number of skilled workers, implement SOPs properly and conduct scheduled machine checks and maintenance. Keywords: Quality, Six Sigma, DMAIC
APPLICATION OF THE NAÏVE BAYES ALGORITHM FOR PREDICTION OF LUNG DISEASES USING RAPIDMINER Muhyidin, Yusuf; Muhammad Rafi Muttaqin; Imam Ma'ruf Nugroho; Moch. Hafid
Jurnal Teknologika Vol 14 No 1 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i1.378

Abstract

The lungs are the main organ in the human respiratory system which is located in the chest cavity and consists of a pair. The lungs are a vital organ that greatly influences the body's health, because it has the function of maintaining the body's acid-base balance, removing carbon dioxide that the body does not need and water vapor. Smoking is the main cause of lung disease, in 2020 based on the World Health Organization (WHO) report, it is estimated that 10 million people suffer from lung disease worldwide. This research uses the Naïve Bayes classification algorithm to obtain a prediction model that can predict lung disease patient data. This research aims to obtain accuracy values ​​using the Naïve Bayes algorithm. The data used in this research was obtained from Kaggle which contains 469 data with 14 attributes in it. RapidMiner is used as a tool to test the patient dataset used to produce a prediction with an accuracy rate of 99.9% risk false (no risk of having lung disease).
EVALUASI KINERJA TIM PENJUALAN: PENDEKATAN FUZZY AHP DALAM MODEL MCDM Indriani, Karlena; Saputra, Irwansyah; Nurmalasari; Yani, Ahmad; Christian, Ade
Jurnal Teknologika Vol 14 No 1 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i1.379

Abstract

Tenaga penjualan adalah aset paling penting bagi sebuah perusahaan. Pengembangan kompetensi tenaga penjualan tidak dapat sepenuhnya dievaluasi karena kompleksitas keterampilan yang langsung diperoleh dan digunakan. Kesulitan dalam menentukan kriteria penilaian yang sesuai untuk mengevaluasi kinerja tenaga penjualan di perusahaan tidak cukup hanya menggunakan persepsi manusia oleh manajemen. Hal tersebut karena penilaian dan persepsi manusia terhadap kriteria kualitatif selalu subjektif dan tidak tepat. Dalam menentukan beberapa kategori kriteria, diperlukan teknik kuantitatif dan kualitatif sebagai sarana pengambilan keputusan dalam organisasi. Penelitian kuantitatif menghasilkan data dalam bentuk angka, sedangkan penelitian kualitatif cenderung menghasilkan data yang disajikan dalam bentuk narasi dan teks. Dalam penelitian ini, diusulkan model MCDM menggunakan metode Fuzzy AHP untuk mengevaluasi kinerja tenaga penjualan di departemen pemasaran perusahaan guna menentukan prioritas dan peringkat objektif dari alternatif. Hasil penelitian menunjukkan bahwa konsistensi rasio validasi menggunakan metode Fuzzy AHP pada kriteria kuantitatif diperoleh nilai 0,016 dan 0,015 untuk kriteria kualitatif. Kemudian analisis sensitivitas digunakan untuk mengidentifikasi dampak dari perubahan pada bobot relatif kategori kriteria kuantitatif yang nilainya diturunkan sebesar 3,85%, sehingga mempengaruhi penilaian secara keseluruhan. Secara spesifik pada pre-test dengan nilai akurasi sebesar 85%, sedangkan pada post-test menghasilkan akurasi yang lebih besar dengan nilai 95%, dapat diinterpretasikan bahwa evaluasi kinerja tenaga penjualan menggunakan metode Fuzzy AHP menghasilkan prioritas dan peringkat alternatif yang lebih objektif dan sangat sesuai untuk diimplementasikan di perusahaan. Analisis uji t-produksi nilai p adalah 0,000494 yang lebih kecil dari nilai alpha (0,05), menunjukkan bahwa hasilnya efektif.
SIMULASI SISTEM ANTRIAN LOKET PARKIR KENDARAAN DI MALL STS (SADANG TERMINAL SQUARE) Ihsan, Muhammad Ihsan; Dimas Wismono; Diki Muchtar
Jurnal Teknologika Vol 14 No 1 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i1.380

Abstract

Vehicle queues formed in front of the gate of the ticket collection counter at STS Mall can cause problems and queue lengths that can interfere with other traffic movement systems. Therefore, it is very important to review the queuing system at the gate of the parking ticket collection counter at STS Mall. This study aims to examine the queuing system and determine alternatives to improve four-wheeled vehicle queuing services at the ticket collection counter to enter the parking lot at STS Mall. The main data needed in this study are vehicle arrival rates and counter service times. The data were obtained respectively using traffic enumeration methods and sampling observations, which were carried out at the entrance counter of four-wheeled vehicles and carried out on Saturdays and Sundays. The analysis method uses Queue Theory. The results of the analysis show that the number of counters 1 piece is still able to serve the current level of vehicle arrivals which gives a value of n ranging from 0.34 - 0.37 vehicles (( 1 vehicle) , q ranging from 0.08 - 0.06 vehicles (( 1 vehicle), d ranging from 8.2 - 8.6 seconds, and w ranging from 2.1 - 2.5 seconds. At an arrival rate above 600 vehicles / hour are no longer able to be served with the number of counters (N) as much as 1 piece without improving the queuing system
UJI EKSPERIMENTAL DAN ANALISIS PERPINDAHAN PANAS PADA SERPENTINE CHANNEL UNTUK PENDINGIN PANEL SURYA MENGGUNAKAN FLUIDA NANO Ina, Ina afriani; Amri Abdulah; Dede ardi rajab; Dani, Muhamad; Nur Alam, Deden; Jaenudin
Jurnal Teknologika Vol 14 No 1 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i1.381

Abstract

The potential of solar energy in Indonesia is quite large as a renewable energy source, usually called solar panels or photovoltaic (PV) technology as a device capable of converting solar radiation into electrical energy. When solar panels operate, only about 15% of solar radiation is converted into electrical energy, while the rest is converted into heat. The intensity of solar radiation and the temperature of the surrounding air affect the voltage and current produced by solar cells. This condition requires a device that can regulate the temperature state of the solar panel. This study was conducted to overcome the heat problem in solar panels through optimizing the thermal properties of the cooling fluid by adding nano-sized SEM/EDS-tested particles to the W/EG base fluid, which is commonly called nanofluids, then making serpentine channels as a heat exchanger was also carried out. The experimental test process was carried out with a flow rate variation of 1 to 3 LPM and the inlet temperature was kept at 35˚C. The results showed that the highest cooling fluid flow rate was the most optimum condition. The Reynolds number shows that the heat transfer coefficient increases by 1011.72 W/m◦K, 1321.72 W/m◦K, and 2070.39 W/m◦K, respectively. The Nusselt number tends to increase as the Reynolds number of the nanofluid increases. An increase in Nusselt number indicates an increase in heat transfer coefficient, while Reynolds number indicates laminar flow of the coolant. Similarly, the pressure drop increases with increasing flow rate.

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