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Ahmad Turmudi Zy
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INDONESIA
Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Published by Universitas Pelita Bangsa
ISSN : 2301475X     EISSN : 26567059     DOI : https://doi.org/10.37366/pelitatekno
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT
The journal focused on original research, theoretical and review paper discussing a wide range of trans-disciplinary studies on technology, that include: - Environmental Sciences - Environmental Engineering - Architecture - Informatics Engineering - Informatic Technology - Applied Technology and related field - Geographic Informatic System
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 8 Documents
 1 
Search results for , issue "Vol 14 No 2 (2019): September 2019" : 8 Documents clear
ANALISIS EFISIENSI PEMAKAIAN GAS PADA INDUSTRI KERAMIK Tri Ngudi Wiyatno; Muhammad Fatchan; Ikhsan Romli; Andre Amara
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.697 KB) | DOI: 10.37366/pelitatekno.v14i2.236

Abstract

Abstrak – Petumbuhan Industri yang semakin pesat menjadikan pemakaian gas untuk kebutuhan proses produksi juga meningkat, sehingga apabila hal ini tidak diantsipasi maka akan terjadi krisis gas industi, untuk mengantisipasi terjadinya krisis kebutuhan gas industri maka salah satunya diperlukan adanya strategi peningkatan efisiensi dalam pemakaian gas. Pada penelitian ini dilakukan analisis efisiensi pemakaian gas pada Industri keramik, selama proses pembakaran keramik yang ada di tungku Kiln. Pada penelitian ini pengambilan data dilakukan dengan menggunakan data primer yang mengambil langsung dilapangan dan data sekunder dengan cara mengambil data yang sudah ada sebelumnya, selanjutnya dengan data-data tersebut dapat dihitung tingkat efisiensi gas yang dipakai untuk proses produksi. Dengan diketahuinya efisinsi gas yang digunakan dalam pembakaran keramik diharapkan dapat membantu untuk dilakuannya analisa perbaikan guna meningkatkan efisiensi pemakaian gas pada proses pembakaran keramik. Dari hasil penelitian didapat nilai efisiensi Kiln pada PT.XYZ selama bulan April 2019 sebesar 77,68% Kata kunci : gas, kiln, efisiensi.
ANALISA PENGARUH VOLUMETRIC LOADING RATE TERHADAP PENURUNAN PARAMETER COD PADA REAKTOR UASB DALAM PENGOLAHAN LIMBAH CAIR DOMESTIK PERUMAHAN MUNJUL JAYA PURWAKARTA: ANALISA PENGARUH VOLUMETRIC LOADING RATE TERHADAP PENURUNAN PARAMETER COD PADA REAKTOR UASB DALAM PENGOLAHAN LIMBAH CAIR DOMESTIK PERUMAHAN MUNJUL JAYA PURWAKARTA Nur Ilman Ilyas
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.492 KB) | DOI: 10.37366/pelitatekno.v14i2.231

Abstract

Domestic waste which come from WC, i.e black water as well as other sources domestic waste has potensial to polute the environment because this waste has caracteristics high in COD. The purpose of this study is to find the concentration of artificial waste. if the concentration of the polutan is high, the load of the polutan in the waste also high. In this study Mixture of artificial grey water and black water were investigated. This Mixture consist of COD. This research investigated the organic loading rate and to treating the Mixture Grey Water and Black Water with reactor UASB. The decreasing Conentration of organic loading rate small varied, COD was about 644 mg/l..
A IMPLEMENTASI TERM FREQUENCY – INVERSE DOCUMENT FREQUENCY (TF-IDF) DAN VECTOR SPACE MODEL (VSM) UNTUK PENCARIAN BERITA BAHASA INDONESIA Wiyanto W; Wowon Priatna; Jumi Saroh Hidayat
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v14i2.237

Abstract

A search engine that already exists and widely used today can be provide the result of information very much, so it takes time to sort through the information in need. The research with the title "The “implementation term frequency-inverse document frequency (TF-IDF) and vector space model (VSM) to search a news of Indonesian language” have a purpose to develop the method of quick search uses TF-IDF method and vector space model. There are two main processes in the search system of news that are indexing and retrieval. The process of indexing is a process to give assessment to the words on document, the method of assessment in this research uses an assessment of method TF-IDF. The process of retrieval is a process of calculating the slope of the query against the document, the calculation of the similarity using concept vector space model by finding the value of cosine similarity. Based on the analysis and implementation in the build of search system in the news. The quick method of search can be built using vector space model. The system build by this method of vector is able to display a results of search that relevant accordance with the query in the user input. Keywords: term frequency - inverse document frequency, vector space model, search a news of Indonesian language, indexing, retrieval.
FEATURE EXTRACTION UNTUK KLASIFIKASI PENGENALAN WAJAH MENGGUNAKAN SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOR Yoga Religia; Adi Rusdi; Ikhsan Romli; Abdul Mazid
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.266 KB) | DOI: 10.37366/pelitatekno.v14i2.233

Abstract

Feature Extraction adalah teknik pengambilan ciri / feature dari suatu bentuk yang nantinya nilai yang didapatkan akan dianalisis untuk proses selanjutnya. Klasifikasi adalah proses untuk menyatakan suatu objek ke dalam salah satu kategori yang sudah didefinisikan sebelumnya. Dalam penelitian ini membahas tentang pengambilan ciri dari suatu feature dengan dataset yang berisi kumpulan foto wajah yang akan digunakan untuk klasifikasi pengenalan wajah pria atau wanita. Dataset yang digunakan merupakan global dataset yang diambil dari “http://www.cs.umass.edu/lfw“. Dari Feature Extraction yang dilakukan diperoleh 6 atribut independent dan 1 atribut dependent. Tujuan dari penelitian ini adalah untuk membandingkan performance dari 2 algoritma yaitu Support Vector Machine dan k-Nearest Neighbor. Dari percobaan yang sudah dilakukan menunjukkan nilai rata-rata akurasi dari Support Vector Machine sebesar 88.13% sedangkan nilai rata-rata akurasi dari k-Nearest Neighbor sebesar 84.40%.
IMPLEMENTASI METODE NAÏVE BAYES CLASSIFIER UNTUK IDENTIFIKASI JENIS JAMUR Septian Arie Prayoga; Ismasari Nawangsih; Tri Ngudi Wiyatno
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.168 KB) | DOI: 10.37366/pelitatekno.v14i2.239

Abstract

Being in a country that has abundant natural resources and biodiversity, of course, something that should be grateful for, such as its diversity of flora. The climate is very suitable for growing various types of plants. One of them is the food sector, especially horticulture, a horticultural commodity that is often found and widely used consumption materials by the community are mushrooms. The types of fungi of the genus Agaricus and Lepiota are often found around the community. There are types of mushrooms that are edible and some are poisonous. The type of fungi genus agaricus and lepiota which have poisons can cause pain in people who consume them, can even have an impact on death. To distinguish between mushrooms that are safe for consumption and those that are poisonous is very difficult. Therefore the need for problem solving to contribute to identifying the fungi is safe to eat or toxic. In this study the researcher tried to contribute in solving the problem in order to identify fungi using the naive bayes classifier method. Naive bayes classifier will classify the fungi dataset of genus agaricus and lepiota using probability calculations. In the scheme the testing data will be inputted with certain attributes, with subsequent training data with the NBC method testing data will be classified with training data so that the results of the testing data are included in the edible or poisonous category. The data used in this study is a collection of mushroom data (genus agaricus and genus lepiota), this dataset is taken from the UCI Machine learning repository. The mushroom data has 23 attributes based on morphological characteristics, with a total of 8124 mushroom records. The mushroom data has 23 attributes based on morphological characteristics, with a total of 8124 mushroom records. After using the 10-fold cross validation scheme, the average method of naive bayes method in the history of agaricus and lepiota mushrooms was found to be an accuracy value of 86.64 using the method of good classification.
PENGELOLAAN LIMBAH B3 PT YTK Indonesia Nisa Nurhidayanti; Cici Arinih
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.267 KB) | DOI: 10.37366/pelitatekno.v14i2.234

Abstract

PT. YTK Indonesia is one of the automotive industries in Indonesia that does not yet have a permit related to processing hazardous and toxic waste, so that the resulting hazardous and toxic waste is handed over to third parties for further processing. The presence of hazardous and toxic waste produced from various production activities requires special attention, because the losses that will be caused if the waste is not managed and not properly treated. The purpose of this study was to determine the type of hazardous and toxic waste and hazardous and toxic management produced and to assess the suitability of hazardous and toxic waste management with Government Regulation No. 101 of 2014. Data analysis was carried out by conducting a literature study of the research objects and basic concepts of hazardous and toxic waste management systems. hazardous and toxic wastes produced are used drums, used buckets, contaminated mounds, contaminated cloth gloves, iron scrab, grinding sludge, contaminated wood powder, aluminum powder, NG parts, waste material, contaminated gloves, used oil, and domestic hazardous and toxic waste. Hazardous and toxic waste Management carried out includes reduction, storage, storage, internal transportation, external transportation and utilization. The processing of hazardous and toxic waste is left to a third party, namely PT. Menembus Batas Langit and PT. Karya Nusa Bumi Persada. All hazardous and toxic waste management processes at PT. YTK Indonesia as a whole has complied with government regulations, but there is a discrepancy with PP No. 101 of 2014 which is about hazardous and toxic waste packaging that does not have labels and symbols and there is a storage area for hazardous and toxic waste that has rust.
PENENTUAN KELULUSAN SISWA YAYASAN CERDAS BAKTI PERTIWI DENGAN MENGGUNAKAN ALGHORITMA NAÏVE BAYES DAN CROSS VALIDATION Elkin Rilvani; Ahmad Budi Trisnawan; Priasnyomo Prima Santoso
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.023 KB) | DOI: 10.37366/pelitatekno.v14i2.240

Abstract

Yayasan Cerdas Bakti Pertiwi sebagai unit pelaksana pendidikan non formal dalam mencapai tujuan pendidikan dan pelatihan menyiapkan peserta didik untuk kedinasan bintara yang bisa menjadi penerus bangsa untuk dapat menjawab tantangan zaman. Dalam kegiatan operasionalnya siswa dituntut agar lulus namun untuk mencapai kelulusan banyak faktor yang menjadi tantangan hambatan siswa. Pada penelitian ini akan memecahkan permasalahan faktor hambatan kelulusan dengan data mining untuk menentukan kelulusan siswa. Teknik data mining adalah klasifikasi dengan metode Naïve Bayes dan Cross Validation, maka didapatkan hasil penentuan kelulusan siswa dengan persentase keakuratan sebesar 99,4 %.Dalam penelitian menggunakan data sebanyak 500 siswa yang terdiri dari 443 siswa laki-laki dan 57 siswa perempuan.
PENGENALAN CERITA RAKYAT DAN GAME EDUKASI UNTUK ANAK MENGGUNAKAN ANDROID Juliana Juliana; Dewi Driyani; Siti Khotijah
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (513.016 KB) | DOI: 10.37366/pelitatekno.v14i2.235

Abstract

Pendidikan merupakan hal yang sangat penting untuk kemajuan suatu bangsa supaya membangun sumber daya manusia yang berkualitas. Salah satu pemanfaatan yang bisa diambil dari perkembangan teknologi untuk menunjang dunia pendidikan diantaranya dibuat suatu aplikasi yang berbasis android tentang pengenalan cerita rakyat dan game edukasi. Dimana penulisan ini bisa dimanfaatkan oleh anakanak supaya dari perkembangan teknologi bisa menghasilkan dampak positif mengingat saat ini anak anak tidak bisa terlepas dari android karna hasil dari penulisan ini adalah sebuah aplikasi yang berbasis android dimana dalam aplikasi ini adalah tentang pengenalan cerita rakyat dan juga game edukasi yang bisa mengolah daya pikir anakanak sehingga dampak negarif dari penggunaan android bagi anak anak bisa di minimalkan. Dalam proses penulisan ini menggunakan alat bantu berupa UML, Flowchart dan juga aplikasi untuk membangun android. Kata kunci : Cerita Rakyat, Edukasi, Android

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