Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
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
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136 Documents
<![CDATA[SIMBOLISME ARSITEKTUR TIMUR TENGAH PADA BANGUNAN MASJID DI INDONESIA ]]>
<![CDATA[retno astuti]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 13 No 2 (2018): Maret 2018 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v13i2.212
<![CDATA[Symbols are terms that have been known to people in the world, human life can not be separated from the concept of symbolism. Symbols are manifested in images, shapes, movements, or objects that represent an idea. Symbols can lead a person into future and past ideas. This is evident from the existence of historical relics that exist in all parts of the world from time to time. Humans can be recognized by their civilization starting with the symbols or symbols they leave behind. These symbols have a specific purpose and meaning which is an appreciation of the values they represent. Symbols consist of signs (tangible) and meanings (intangible). These two elements in symbolism are an inseparable unit. There is no sign that does not have the opposite meaning there is no meaning that can be understood by others if it is not a sign. In the science of architecture the process of creating architectural works is analogous to the process of creating symbols. There are no architectural works born without ideas, and vice versa, not an architect's ideas will materialize if they do not have a real form. Middle Eastern architecture that is synonymous with Islam has a symbol that has been understood by most Muslims throughout the world. The application of the symbolism of the Middle East architecture is mostly in the mosque building, which is a place of worship for all Muslims. This Middle Eastern architectural symbol successfully unites all Muslims throughout the world.]]>
<![CDATA[EVALUASI PERENCANAAN SISTEM DISTRIBUSI AIR BERSIH INSTALASI TEGAL GEDE KABUPATEN BEKASI ]]>
<![CDATA[Nur Ilman Ilyas]]>;
<![CDATA[Nisa Nurhidayanti]]>;
<![CDATA[Nasution Nasution]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 15 No 1 (2020): Maret 2020 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v15i1.260
<![CDATA[Increased population growth must be followed by the availability of clean and healthy water. This research is to find out the amount of water needs of PDAM customers for South Cikarang and Cibarusah areas. The purpose of this paper is to find out the clean water needs of customers of PDAM Tirta Bhagasasi South Cikarang Branch in 2020 and find out the increase in population and number of customers and how much those needs are. So that PDAM Tirta Bhagasasi can serve the community at present and in the future for its distribution evenly, so that the community can obtain clean water smoothly. From the analysis using the realization of needs analysis, it is obtained the need for clean water for customers of PDAM Tirta Bhagasasi, Cikarang Selatan Branch for 2020, amounting to 394, 5 liters / second. Estimated clean water debit needed for 2020 in the Cibarusah region is Q = 169.1 liters / sec. The volume of additional customers for 2020 South Cikarang and Cibarusah Branches is 0.283 m3 / second. With this debit, it is possible to add 31,067 customers to PDAM Cikarang Selatan Branch. In the analysis of the pipe capacity for the next five years 2020 for the South Cikarang Branch the dimension of the pipe is still able to flow water from the Tegal Gede reservoir to the villa Mutiara reservoir.]]>
<![CDATA[Arahan Pengembangan Kawasan Wisata Songgoriti Kota Batu ]]>
<![CDATA[Ahmad Aguswin]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 12 No 1 (2017): Maret 2017 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v12i1.178
<![CDATA[Abstrak Perkembangan pariwisata di Kota Batu mendorong berkembangnya fasilitas akomodasi sebagai salah satu faktor pendukung pariwisata. Songgoriti merupakan salah satu kawasan wisata di Kota Batu. Di Songgoriti terdapat banyak rumah sewa atau yang lebih dikenal sebagai villa yang disediakan untuk wisatawan yang datang ke Songgoriti. Berkembangnya villa berpengaruh terhadap kehidupan sosial ekonomi masyarakat yang tinggal di kawasan wisata Songgoriti. Pada kajian ini, peneliti menggunakan metode penelitian deksriptif kualitatif. Hal ini dikarenakan penelitian ini mengeksplor fenomena proses pembentukan karakteristik wisata alam di kawasan Songgoriti. Hasil Penelitian menunjukkan bahwa Perkembangan kawasan wisata Songgoriti dimulai sejak tahun 1985. Sebelumnya masyarakat Songgoriti bermata pencaharian sebagai petani dan peternak sapi. Kemudian akibat adanya peningkatan jumlah wisatawan yang datang ke Songgoriti maka banyak warga yang beralih profesi dengan bekerja di bidang pariwisata, salah satunya mengelola kawasan. Masyarakat membangun bangunan penginapan dengan alasan untuk menambah pendapatan sehingga dapat memenuhi kebutuhan hidup. Pada intinya strategi yang dilakukan meliputi beberapa langkah, yaitu: melakukan pemetaan terhadap potensi yang ada, kemudian merancang dan mengesahkan aturan hukum sebagai landasan untuk pelaksanaan program, yang menjadi payung hukum, setelah itu kemudian proses Sounding program melalui kegiatan – kegiatan dan juga media. Kata kunci: Songgoriti, Kawasan wisata, something to see, something to buy]]>
<![CDATA[PREDIKSI PENGANGKATAN KARYAWAN DENGAN METODE ALGORITMA C5.0 (STUDI KASUS PT. MATARAM CAKRA BUANA AGUNG) ]]>
<![CDATA[Ismasari Nawangsih]]>;
<![CDATA[Sifa Fauziah]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 16 No 2 (2021): September 2021 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v16i2.672
<![CDATA[In the decision to appoint permanent employees that can be made at the company is determined in terms of attendance and good discipline. Determination of the appointment of permanent employees at PT. Mataram Cakra Buana Agung still looks imprecise and takes a long time. Then a study was conducted that aims to determine the prediction information on permanent employee appointments by looking at the criteria set by the company using the C5.0 classification algorithm with the decision tree method. The data used in this study are employee data owned by PT. Mataram Cakra Buana Agung as many as 403 data, the process of testing the method using Rapid Miner9.5. Based on the results of testing on research in predicting employee appointments at PT. Mataram Cakra Buana Agung, obtained the result from the C5.0 algorithm or decision tree, which is an accuracy of 90.00%. So it can be concluded that the C5.0 algorithm technique with the decision tree method is considered successful in predicting employee appointments at PT. Mataram Cakra Buana Agung. Keywords: Employee recruitment, classification, C5.0 algorithm.]]>
<![CDATA[FEATURE EXTRACTION UNTUK KLASIFIKASI PENGENALAN WAJAH MENGGUNAKAN SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOR ]]>
<![CDATA[Yoga Religia]]>;
<![CDATA[Adi Rusdi]]>;
<![CDATA[Ikhsan Romli]]>;
<![CDATA[Abdul Mazid]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v14i2.233
<![CDATA[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%.]]>
<![CDATA[Studi Optimalisasi Suhu Pada Proses Pirolisis Sampah Plastik Jenis LDPE (Low Density Polyethylene) ]]>
<![CDATA[Nisa Nurhidayanti]]>;
<![CDATA[Putri Anggunsari]]>;
<![CDATA[Sofianti Sofianti]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v16i1.660
<![CDATA[Plastik LDPE merupakan salah satu jenis plastik sintetis yang sulit terurai di lingkungan. Proses pirolisis sampah plastik merupakan proses dekomposisi senyawa organik yang terdapat dalam plastik melalui proses pemanasan dengan sedikit atau tanpa melibatkan oksigen. Pada proses pirolisis senyawa hidrokarbon rantai panjang yang terdapat pada plastik dapat diubah menjadi senyawa hidrokarbon rantai pendek dan dapat dijadikan sebagai bahan bakar alternatif. Penelitian ini bertujuan untuk mengetahui pengaruh suhu terhadap perolehan minyak hasil pirolisis, mengetahui pengaruh suhu dan jenis plastik terhadap sifat fisik dan sifat kimia dari minyak hasil pirolisis. Pirolisis sampah plastik ini dilakukan dengan umpan yaitu sampah plastik jenis LDPE (Low Density Polyethlene). Proses pirolisis dilaksanakan selama 60 menit dengan variasi suhu 200°C, 300°C, 400°C, 500°C dan 600°C. Minyak hasil pirolisis terbanyak dari sampah plastik LDPE diperoleh pada suhu operasi 600°C sebanyak 90 ml. Viskositas minyak hasil pirolisis mendekati nilai viskositas dari bensin. Densitas minyak hasil pirolisis mendekati nilai densitas dari solar dan minyak tanah. Nilai kalor minyak hasil pirolisis mendekati nilai kalor dari solar dan minyak tanah.]]>
<![CDATA[CORAL REEF RESISTANCE AND RESILIENCE: A CONSERVATION GENETIC PERSPECTIVE IN SUPPORTING CORAL REEF CONSERVATION PROJECT ]]>
<![CDATA[Tyas Ismi Trialfhianty]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 13 No 2 (2018): Maret 2018 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v13i2.217
<![CDATA[A coral reef ecosystem is home to thousands of marine species and is utilised for feeding, reproduction and as a nursery ground. Coral reefs are areas of high biodiversity, and typically fish diversity and density are positively correlated with a living coral cover. Hence any threat to the coral ecosystem is also likely to have an impact on a high number of other species and may alter an environmental landscape. For instance, the decline of the coral population may reduce fish’s abundance and increase shoreline erosion. Contributions to the decline of coral reefs ecosystem from physical, chemical and biological sources such as increasing water temperatures (due to climate change), pollution, human disturbance and coral diseases. Therefore, it is important to understand factors which are related to the resistance and resilience of coral reef ecosystem. This review aims to broaden our understanding of coral reef resistance and resilience in the Indo-Pacific region by taking a genetic perspective. There are four primary aspects that are essential for coral resistance and resilience which will be reviewed here; the ability to respond to disturbance, the ability to adapt to the changing climate, the connectivity between coral populations (linked to larval dispersal), and the application of genetics to support coral reef conservation and management project. This paper is important to support our understanding of coral’s adaptability and resistance in facing disturbances such as climate change. Furthermore, it may benefit future conservation projects, as it explains genetic attributes that need to be considered for conservation and management projects such as local genetic diversity. Keywords: coral reef, conservation, genetic and population]]>
<![CDATA[PEMANFAATAN KARBON AKTIF DARI TEMPURUNG KELAPA DALAM MENURUNKAN KADAR AMONIA TOTAL DALAM AIR LIMBAH INDUSTRI ]]>
<![CDATA[Nisa Nurhidayanti]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 15 No 1 (2020): Maret 2020 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v15i1.292
<![CDATA[Entering the industry 4.0 stage, more industries are developing in Indonesia, one of which is PT Puradelta Lestari. PT Puradelta Lestari as a developer of the Deltamas city area that serves industrial, commercial and residential customers produces industrial liquid waste. Preliminary studies have shown that the ammonia content of wastewater in the PT has exceeded the threshold of 25 mg / L amonia. This study aims to determine the effect of adding activators to activated carbon from coconut shells with variations of immersion time on decreasing total ammonia levels in wastewater at PT. Puradelta Lestari. Activation of activated carbon is carried out with activators HCl, NaCl, and KOH with a concentration of 4%, with a volume ratio of activator 1: 6 and variations in the immersion time for 12 hours, 16 hours, 20 hours, 24 hours. The optimum condition was obtained at the time of immersion with KOH activator for 24 hours obtained a decrease in ammonia levels that is equal to 87.6%.]]>
<![CDATA[Sistem Informasi Warga (Simaga) Pada Rt 015 Rw 012 Perumahan Grand Mutiara Gading Berbasis Web Menggunakan Php Dan MySQL ]]>
<![CDATA[Ismasari Nawangsih]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 12 No 1 (2017): Maret 2017 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v12i1.183
<![CDATA[Abtraksi Sistem Informasi Warga (SIMAGA) berbasis web ini didasarkan pada permasalahan yang terjadi di RT 15 RW 12 Perumahan Grand Mutiara Gading, hal ini dilakukan karena sistem pendataan warga yang masih manual dapat memberikan kesulitan kepada pengurus RT dalam melakukan pendataan dan pencarian data warganya. Diharapkan Sistem Informasi Warga (SIMAGA) ini dapat membantu permasalahan yang terjadi di RT 15 RW 12 Perumahan Grand Mutiara Gading sehingga pekerjaan menjadi efektif dan lebih efisien. Sistem ini dibuat dengan menggunakan bahasa pemrograman PHP dan MySql sebagai database untuk menyimpan data, metode pengembangan sistem yang digunakan adalah pendekatan SDLC (System Development Life Cycle) dengan metode waterfall, langkah-langkah yang digunakan sebagai berikut : analisa kebutuhan perangkat lunak, desain , penulisan kode program, pengujian dan pendukung atau pemeliharaan. Kata Kunci : Sistem, Sistem Informasi, SIMAGA, SDLC, Waterfall.]]>
<![CDATA[IMPLEMENTASI METODE NAÃVE BAYES CLASSIFIER UNTUK IDENTIFIKASI JENIS JAMUR ]]>
<![CDATA[Septian Arie Prayoga]]>;
<![CDATA[Ismasari Nawangsih]]>;
<![CDATA[Tri Ngudi Wiyatno]]>
<![CDATA[ Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019 ]]>
Publisher : <![CDATA[DPPM Universitas Pelita Bangsa ]]>
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DOI: 10.37366/pelitatekno.v14i2.239
<![CDATA[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.]]>
