bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISA ALGORITMA ELGAMAL DALAM PENYANDIAN DATA SEBAGAI KEAMANAN DATABASE
Authors: Sari Winda , Maulita Yani , Fauzi Achmad
Published: September 2023

Perkembangan dunia informasi saat ini semakin cepat memasuki berbagai bidang, yang berusaha memanfaatkan  teknologi  informasi  masa  kini.  Masalah  keamanan     dan     kerahasiaan     database merupakan  salah satu  aspek  penting  dari suatu sistem  informasi.  Sebuah  informasi  hanya ditujukan bagi  pihak – pihak tertentu,  hal tersebut  terkait  dengan  bagaimana  informasi tidak  dapat  di akses oleh  orang  yang  tidak berhak. File Database adalah kumpulan file-file yang mempunyai kaitan antara satu file dengan file yang lain sehingga membentuk satu bangunan data untuk menginformasikan satu perusahaan, instansi dalam batasan tertentu untuk membentuk data baru dan informasi. Algoritma Elgamal  merupakan  algoritma yang diperkuat logaritma diskritnya dengan berdasarkan  konsep  kunci  publik.  Algoritma  ini  pada  umumnya digunakan untuk digital signature,  kemudian dimodifikasi sehingga bisa digunakan untuk enkripsi dan dekripsi. Pada proses ekripsi database Pesan tersebut sebelumnya harus dikonversikan dalam kode ASCII terlebih dahulu karena algoritma ElGamal menggunakan bilangan bulat dalam perhitungannya. Pesan yang dienkripsi tersebut kemudian dikirimkan kepada penerima pesan yang mempunyai kunci rahasia untuk mendekripsikan pesan yang telah dienkripsi. Keamanan algoritma Elgamal secara teknis terletak pada kesulitan perhitungan logaritma diskrit pada modulo prima yang besar, sehingga upaya untuk menyelesaikan masalah logaritma ini menjadi sulit untuk dipecahkan. Dengan menggunakan metode Algoritma Elgamal, proses enkripsi file database yang akan di enkripsi adalah isi data pada tabel (cipherteks), file database masih dapat dibuka dan dilihat akan tetapi isi data pada tabel tidak bisa dibaca, kemudian proses dekripsi untuk mengembalikan file database yang telah di enkripsi kembali menjadi file awal (plainteks).
PENERAPAN METODE PROFILE MACHING SEBAGAI PENYORTIRAN BIBIT KELAPA SAWIT
Authors: Setiawan Adil , Sari Ria Eka
Published: September 2023

Dalam Perkembangan teknologi saat ini peningkatan produktivitas Kelapa sawit memenuhi pasar internasional, Sehingga memerlukan bibit yang berkualitas yang layak di tanam untuk mendapatkan hasil tanaman yang bagus memiliki kwalitas sehingga memungkinkan untuk dikembangkan sebagai bibitnya unggul, untuk mendapatkan hasil minyak yang berkualitas internasional. Pemilihan bibit kelapa sawit biasanya berdasarkan berbagai macam keinginan tidak hanya melihat dari segi financial saja akan tetapi dari berbagai kriteria lain seperti cuaca yang sangat berpengaruh dalam proses pemilihan, dan lain – lain Jika saja bibit kelapa sawit yang akan dipilih sudah sesuai dengan keinginan, maka sudah tentu bibit kelapa sawit tersebut akan menjadi factor pendukung yang baik. Sistem yang akan dibuat dalam untuk pengambilan keputusan ini adalah dengan menggunakan metode Profile maching, sehingga keputusan yang efektiv dan efisien demi kelancaran produksi bibit, maka penelitian ini bertujuan untuk membangun Sistem penunjang keputusan sebagai solusi untuk memudahkan pemilihan bibit kelapa sawit, sehingga kita dapat mengetahui bibit yang unggul serta berkualitas yang layak di budidayakan, serta mensortir bibit yang tidak berkualitas untuk di pisahkan sehingga hanya bibit-bibit yang berkualitas saja yang di budidayakan.
PENERAPAN ALGORITMA AFFINE CIPHER DAN ALGORITMA COLOUMNAR TRANSPOSITION DALAM KEAMANAN TEKS
Authors: Siregar Iskandar Muda
Published: September 2023

Keamanan dan kerahasiaan data merupakan salah satu aspek penting dalam komunikasi menggunakan komputer. Keamanan informasi berarti melindungi informasi dan sistem informasi dari akses orang-orang yang tidak berkepentingan, penggunaan, pengungkapan, gangguan, pengubahan atau perusakan. Keamanan dan kerahasiaan merupakan dua aspek penting dalam komunikasi data. Salah satu upaya yang dapat dilakukan untuk menjaga keamanan dan kerahasiaan suatu pesan penting yang akan dikirimkan adalah menerapkan teknik kriptografi atau steganografi. Salah satu solusi untuk meningkatkan keamanan data teks adalah dengan mengkombinasikan algoritma affine cipher dan algoritma coloumnar transposition. Dimana algoritma affine cipher mengalihkan plainteks dengan sebuah nilai dan menambahkannya dengan sebuah pergeseran dengan enkripsi dan dekripsi kemudian  algortima coloumnar transposition berfungsi memutasi karakter diamana plainteks disusun kearah kanan sehingga keluaran cipher mengikuti urutan kunci menurun kebawah dan apabila jumlah karakternya kurang, maka dapat ditambahkan dengan katrakter yang unik untuk menutupi jejak dengan tujuan mempersulit analisa cipher dan susah dipecahkan oleh orang lain.
ENSEMBLE LEARNING DAN ANALISIS SENTIMEN PADA DATA ULASAN PRODUK
Authors: Siringoringo Rimbun , Perangin Angin Resianta , J. Purba Mufria
Published: September 2023

The majority of internet users are currently searching the internet before buying certain products. One consideration of prospective buyers is product reviews (product review). Prospective consumers can decide to buy a product because it is influenced by reviews with positive sentiments, or decide not to buy a particular product because it is influenced by a negative sentiment review. Product reviews are a way of delivering consumer opinions and sentiments to a product online. In essence, the product review data mined directly from the database is unbalanced, between positive sentiment and negative sentiment. This condition makes it difficult for machine learning algorithms to perform classification and clustering functions. In this study, sentiment analysis was conducted based on Trendy Shoes products from Denim Shoes. The stages of sentiment analysis consist of data collection, initial processing, data transformation, feature selection and classification stages using SMOTEBoost. Initial processing applies the stages of text mining namely case folding, non alpha numeric removal, stop words removal, and stemming. The results of sentiment analysis were measured using the criteria of Accuracy, G-Mean, and F-Measure. By applying the test to two types of sentiment data, the results show that SMOTEBoost can classify sentiments well. SMOTEBoost's performance is compared to other ensemble techniques namely ADABoost, RUSBoost, and SMOTEBagging. Classification results of review_1 data, SMOTEboost is better in accuracy and G-Mean. While for the review_2 data, SMOTEBoost has better results for all criteria, both accuracy, F-Measure and G-Mean
EKSTRAKSI CITRA PADA PROSES KEAMANAN KRIPTOGRAFI MEMANFAATKAN ALGORITMA SECURE HASH (SHA)
Authors: FAUZI ACHMAD
Published: September 2023

The development of increasingly sophisticated information and communication technology is inseparable from the growing importance of long distance communication. Current information exchange is not only in the form of text, but can also be in the form of images. All that can be done using an internet connection. With this internet connection, you can connect with many people. Cryptography aims to prevent images from being seen by unauthorized persons so that information stored on a computer is safe or sent through an internet connection. And can protect the confidentiality of the image from various threats that arise. SHA-256 is one of the hashing functions that is safe enough to be used to transform a byte of data into a hash string. The system built has been able to implement the SHA 256 algorithm which can change the original image file in the form of unknown files and encrypted images that cannot be known, unless read using an application that has been built. the image when encrypted and reused when decrypted with as many as 45 characters and may be in the form of numbers or letters. The SHA 256 process when encrypted is only one cycle, can be played with decryption.
PENGEMBANGAN PERMAINAN EDUKASI UNTUK PENYULUHAN KESEHATAN JAJANAN PADA ANAK SEKOLAH DASAR BERBASIS MOBILE
Authors: Risdiansyah Deni , Sasongko Agung , Verera Rada Claudya
Published: September 2023

Snack is one of the food or fast food that is often encountered and liked one of them by the children. This is because the habit of snack that is very inherent, especially in elementary school children. Nutrition education should be given as early as possible by spreading messages, and information. One application of information may be a media game application. With the application of this game is expected to spread the message / information for elementary school children aged 6-12 years can better understand about the importance in choosing snacks. This game application is made using Construct 2 application with multimedia based software development method. Data collected from the questionnaire of 100 respondents in the can in 3 categories of questions with the calculation using Likert scale formula. The results of the questionnaire is the category to 1 with the application display get 88.6% Very good, the second category with the goal of getting 90.58% application is very good and in the 3rd category with ease of application get 86.25% very good.
RANCANG BANGUN SISTEM INFORMASI GEOGRAFIS PEMETAAN LOKASI PERUSAHAAN REKAN LEMBAGA KARIR KAMPUS
Authors: Annisa Riski
Published: September 2023

The internet is a technology that is growing rapidly. The internet creates a new world without limits. This affects humans in searching for information. One of the information needed by the community at this time is the need for geographical information. Geographic Information System is a geographic technology that has the ability to visualize spatial data and its attributes. Campus career institute is a field that moves to facilitate alumni or students who want to find work. In this collaboration there are several obstacles according to the author in collecting information about the company. At present the information is only in the form of non-spatial data. Then we need a geographic information system (GIS) to facilitate the mapping of company locations.
RANCANG BANGUN APLIKASI PENJUALAN DAN PEMBELIAN BERBASIS WEB PADA TOKO SOLIDERS SHOP GALING KABUPATEN SAMBAS
Authors: Ardiyansyah Ardiyansyah , Syarif Muhamad , Kurniawan Yudi
Published: September 2023

Toko Soliders Shop Galing Kabupaten Sambas merupakan suatu perusahaan yang bergerak di bidang perdagangan diantaranya penjualan alat tulis kantor. Selama ini Toko Soliders Shop Galing Kabupaten Sambas masih menggunakan sistem yang manual dalam operasional penjualan dan pembelian. Pencatatan laporan, pencatatan data barang, jumlah dan harga barang, data supplier, data pelanggan, data transaksi pembelian serta data transaksi penjualan masih menggunakan tulisan tangan yaitu dengan catatan buku atau nota. Aplikasi penjualan dan pembelian alat tulis kantor berbasis web ini menjadi solusi untuk mencegah permasalahan yang ada pada perusahaan sehingga transaksi penjualan dan pembelian dapat lebih efektif dan efisien. Aplikasi penjualan dan pembelian berbasis web pada Toko Soliders Shop Galing Kabupaten Sambas, dapat mengelola data barang, data supplier, data pelanggan, dan data jenis barang beserta data transaksi penjualan dan pembelian. Dan keluarannya antara lain laporan laba rugi, laporan pembelian, laporan penjualan, dan laporan persediaan. Dengan adanya aplikasi berbasis web penjualan dan pembelian pada Toko Soliders Shop Galing Kabupaten Sambas ini diharapkan dapat mengelolah data lebih efektif dan efisien serta sistem pembelian dan penjualan yang sekarang lebih kondusif dibanding dengan sistem yang terdahulu.
PEMBANGUNAN MEDIA PEMBELAJARAN ANIMASI INTERAKTIF GERHANA DALAM TATA SURYA
Authors: Risdiansyah Deni , Purwaningtias Deasy , Dharmawan Weiskhy Steven
Published: September 2023

Tata surya merupakan salah satu sub bab mata pelajaran Ilmu Pengetahuan Alam. Salah satu pokok bahasannya yaitu gerhana. Gerhana terjadi apabila sebuah benda angkasa bergerak kedalam bayangan sebuah benda angkasa lain. Pembelajaran gerhana dalam tata surya saat ini, tenaga pengajar masih mengandalkan metode ceramah dan kurangnya pemanfaatan media pendukung selain buku. Metode pembelajaran seperti ini kurang menarik dan cepat membosankan untuk siswa. Sehingga dibutuhkan sebuah media pembelajaran yang dapat menarik minat siswa untuk belajar. Penggunaan animasi interaktif sebagai media pembelajaran sudah cukup populer saat ini. Hal ini disebabkan karena dalam penyampaian materi lebih menarik dan lebih interaktif serta memiliki kreatifitas yang tinggi dalam penyampaian materi sehingga menjadikan pengaruh yang signifikan terhadap tingkat pemahaman dan daya ingat siswa. Oleh karena itu, dengan memanfaatkan teknologi dan informasi saat ini penulis membuat animasi interaktif yang menyajikan pembelajaran gerhana dengan ilustrasi gerhana beserta penjelasannya menggunakan animasi gerak serta dilengkapi evaluasi belajar sehingga diharapkan dalam proses penyampaian materi pembelajaran gerhana dapat diserap secara maksimal oleh siswa Sekolah Dasar kelas VI.
SISTEM PAKAR DIAGNOSA JENIS KULIT WAJAH MENGGUNAKAN METODE FORDWARD CHAINING (STUDI KASUS : DITUJUKAN PADA KONSUMEN WARDAH)
Authors: Sasmita Guruh
Published: September 2023

The role of facial beauty experts is very important to identify the type of facial skin and provide solutions in the form of treatment recommendations using the right skincare products for each type of facial skin. The thing that is often complained of by the public when performing treatments is the small number of beauticians because not every region has a beauty clinic and the limited time the beautician doctors cause a long queue when going to a beauty clinic. From this, an expert system is needed to help provide solutions by building an expert system that can identify the type of facial skin by including treatment solutions. The Fordward Chaining method carries out tracking that starts with input information, and then tries to draw conclusions. From this research will produce a web-based application to diagnose skin types and solutions to any skin problems and display the name of the product recommended for treatment.
Sistem Kuesioner Penilaian Kinerja Guru Menggunakan Metode Multifactor Evaluation Process Pada SMP Negeri 3 Binjai Berbasis Framework Codeigniter
Authors: Simanullang Harlen Gilbert , Silalahi Arina Prima
Published: September 2023

Teknologi mempunyai peran penting bagi suatu instansi, lembaga ataupun perusahaan membutuhkan suatu komputerisasi untuk pengolahan data dan mendapatkan hasil yang sangat akurat untuk mendukung keberhasilan dalam mencapai tujuannya. Pemilihan guru teladan salah satu aktivitas yang penting untuk meningkatkan kualitas proses belajar mengajar. Beberapa hal yang menjadi kendala, yaitu diantaranya adalah keefektifan dan efisiensi waktu dan proses perhitungan nilai guru. Berdasarkan masalah yang tersebut, diberikan alternatif pemecahan masalah dengan merancang suatu sistem untuk mencatat data dan melakukan penghitungan nilai guru yang akan dibuat secara sistematis dan terkomputerisasi dengan metode Multifactor Evaluation Process (MFEP). Metode MFEP akan mengurangi ketidakefisienan pada saat pengisian data peserta, pemilih dan perhitungan nilai peserta/guru. Sehingga dapat menbentuk sebuah “Sistem Kuesioner Penilaian Kinerja Guru Menggunakan Metode Multifactor Evaluation Process (MFEP) Pada SMP Negeri 3 Binjai”
RANCANG BANGUN APLIKASI PENJUALAN HANDPHONE BERBASIS DESKTOP
Authors: Adwiya Rabiatul
Published: September 2023

Dalam era globalisasi sekarang ini, teknologi informasi melaju dengan cepatnya. Adapun komputer yang merupakan peralatan yang diciptakan untuk mempermudah pekerjaan manusia, saat mencapai kemajuan baik di dalam pembuatan hardware maupun software. Banyak toko handphone di pontianak yang masih belum memiliki aplikasi penjualan. Sistem yang ada pada toko handphone Pontianak ini masih dilakukan secara manual, mulai dari penjualan produk, sampai penyimpanan data-data lainnya yang berhubungan dengan penjualan hingga sampai pembuatan laporan, sehingga memungkinkan pada saat proses berlangsung terjadi kesalahan dalam pencatatan. Rancang bangun penjualan ini dibuat untuk memudahkan toko handphone yang ada di Pontianak baik dalam penjualan dan pembuatan laporan penjualan. Penulis menggunakan model waterfall untuk sebagai pengembangan perangkat lunak. Penulis membuat rancang bangun ini bertujuan untuk memudahkan pelayanan pada toko dan pembuatan laporan sehingga dapat membantu toko handphone di Pontianak semakin mudah, aplikasi ini dibuat berbasis desktop.
Pemodelan Topik Berita Menggunakan Latent Dirichlet Allocation dan K-Means Clustering
Authors: Siringoringo Rimbun , Jamaluddin Jamaluddin , Perangin-Angin Resianta
Published: September 2023

Majority of people now search the internet for news or information topics. The growth of the internet and social media has led to the emergence of hundreds of portals or online news with very diverse news topics. Searching for headlines manually is an ineffective and time-consuming method. In this study headlines modeling was used using Latent Dirichlet Allocation (LDA). Prior to the application of the LDA model, supporting processes such as tokenization, lemmatization, tf-idf factorization and non-negative matrix factorization were also applied. The results showed that the LDA can be applied to model the news topic well with a loglikelihood score of -13615,912 and a perplexity score of 378,958. In addition to using LDA, topic modeling is also done in the form of clusters by applying k-means clustering. With the elbow method, the ideal number of clusters for k-means clustering is 5 clusters and the silhouette performance is 0.62
IMPLEMENTASI TIK PADA BADAN USAHA MILIK DESA (BUMDES) DENGAN MODEL MULTIMEDIA DEVELOPMENT LIFE CYCLE (MDLC) UNTUK INFORMASI DIGITAL PARIWISATA SEBAGAI PENINGKATAN KUALITAS LAYANAN PENGUNJUNG DESA WISATA DOKAN
Authors: Damanik Romanus , Ginting Wasit
Published: September 2023

Multimedia Development Life Cycle (MDLC) yang terdiri dari 6 tahap setelah dahulu didapatkan data keterangan dari setiap objek yang ada di Desa Dokan tersebut terlebih informasi Rumah Adat Karo siwaluhjabu apa fungsi dan kegunaan tiap ruangan yang ada di rumah adat tersebut dan juga sejarah dari rumah adat tersebut, temasuk dokumen desa tentang pertanyaan apa saja yang sering muncul dari para pengunjung. Multimedia Development Life Cycle (MDLC), adalah teknologi dengan konsep menggabungkan dimensi dunia nyata dengan dimensi dunia maya yang di tampilkan secara realtime. MDLC tidak seperti realitas maya yang yang sepenuhnya menggantikan apa yang ada di dunia nyata, namun hanya sekedar menambahkan atau melengkapi. Hal ini dilakukan dengan cara 'menggambar' objek tiga dimensi pada marker, yakni sebuah 'pola' yang bersifat unik dan dapat dikenali oleh aplikasinya. Smartphone memungkinkan pengembangan aplikasi Augmented Reality dengan murah serta dapat diakses oleh banyak pengguna. MDLC dapat dimanfaatkan dalam berbagai bidang salah satunya adalah sebagai sarana untuk pengembangan kebudayaan yang ada disetiap provinsi. MDLC dapat digunakan untuk menciptakan sebuah lingkungan pengenalan yang lebih interaktif dimana pengguna dapat berinteraksi langsung dengan obyek dunia maya sehingga pengguna pun dapat sambil belajar. Penulis mengembangkan sebuah aplikasi yang ditujukan kepada para seluruh pengguna aplikasi. Aplikasi ini akan berjalan pada platform mobile android untuk memudahkan pengguna untuk mengaksesnya. Selain itu, pengguna dapat memilih sendiri objek yang akan dijadikan marker nya untuk membuat penggunaan aplikasi menjadi jauh lebih mudah.
IDENTIFIKASI JENIS BUNGA MENGGUNAKAN EKSTRAKSI CIRI ORDE SATU DAN ALGORITMA MULTI SUPPORT-VECTOR MACHINES (MULTISVM)
Authors: Pahlevi T. Reza , Buaton Relita , Nurhayati Nurhayati
Published: September 2023

ABSTRAK Bunga ialah sebagai alat perkembangbiakan generatif tumbuhan biji tertutup. Didalam bagianbagian bunga mempunyai macam-macam atau juga jenis-jenis bagian dalam bunga yang setiap fungsinya pada masing-masing bagian bunga tersebut berbeda-beda juga, sehingga diperlukan suatu pembahasan yang panjang dan juga luas mengenai bagian-bagian bunga Bunga secara sehari-hari juga dipakai untuk menyebut struktur yang secara botani disebut sebagai bunga majemuk atau inflorescence. Bunga majemuk adalah kumpulan bunga-bunga yang terkumpul dalam satu karangan. Dalam konteks ini, satuan bunga yang menyusun bunga majemuk disebut floret.Bunga sebenarnya adalah modifikasi daun dan batang untuk mendukung sistem pembuahan tertutup. Sistem pembuahan tertutup, yaitu karena bakal biji terlindung di dalam bakal buah atau ovarium dan ini juga menjadi ciri khasnya yang lain. Tujuan dari penelitian ini adalah untuk mengklasifikasi 12 motif batik Banten menggunakan metode SVM. Penelitian dilakukan secara beberapa tahap yaitu resize untuk menyamakan dimensi citra, grayscale untuk menyederhanakan citra dengan mengubah menjadi citra aras keabuan, median filter untuk menghilangkan noise pada batik, dan ekstraksi ciri sebagai masukan untuk klasifikasi menggunakan SVM. Hasil klasifikasi menggunakan SVM orde 1 yaitu sebesar 85%, dan untuk orde 2 sebesar 87,2.
DIAGNOSA PENYAKIT SINUSITIS MENGGUNAKAN METODE CASE BASED REASONING
Authors: Manik Fuzy Yustika
Published: September 2023

Sinusitis merupakan sebuah penyakit peradangan yang terjadi pada selaput lendir sinus yaitu rongga yang berisi udara dan letaknya dalam rongga kepala sekitar hidung. Banyak masyarakat yang tidak menyadari akan hadirnya penyakit ini pada seseorang dikarenakan dengan gejala - gejala yang biasa saja. Sampai pada akhirnya penyakit ini menjadi semakin parah karenapenanganan yang salah dari pasien. Keterbatasan ruang dan waktu untuk berkonsultasi dengan seorang pakar atau ahli dalam bidang THT menjadi sebuah masalah. Sistem pakar merupakan salah satu untuk memecahkan masalah yang dihadapi dalam bidang kesehatan dengan metode case based reasoning yang mampu membantu mendiagnosa penyakit sinusitis. Denganditerapkannya sistem pakar mendiagnosa penyakit sinusitis berbasis web ini akan sangat membantu masyarakat umum untuk meminimalisir biaya yang dikeluarkan untuk berkonsultasi tentang penyakit sinusitis kepada seorang ahli (pakar) dokter. Dari hasil perhitungan menggunakan metode case based reasoning berdasarkan 3 kasus lama yang ada, dapat disimpulkan bahwa, kasus yang menghasilkan nilai bobot kemiripan paling tinggi adalah kasus K002 yaitu sebesar 0,72. Solusi yang diberikan adalah solusi dengan bobot kemiripan paling tinggi. Hasil perhitungan dengan bobot menunjukan sekitar 72% jadi solusi K002 yangdirekomendasikan oleh sistem yaitu terkena penyakit sinusitis Kronis.
OPTIMALISASI RUANGAN PRAKTIKUM MENGGUNAKAN PEMROGRAMAN LINIER INTEGER (STUDI KASUS : STMIK KAPUTAMA)
Authors: Khair H , Prahmana I G , Pardede A M H , Tobing Paul Saut Marganda L
Published: September 2023

Pelaksanaan proses belajar mengajar pada suatu perguruan tinggi yang dilaksanakan di dalam kelas ada terbagi dua, ada yang proses belajarnya di dalam ruang kelas dan ada yang di lakukan di ruangan laboratorium. STMIK Kaputama adalah salah satu perguruan tinggi swasta yang memiliki 4 program studi, yaitu Sistem Informasi, Teknik Informatika, Manajemen Informatika dan Komputerisai Akuntansi, yang dimana empat program studi tersebut memiliki mata kuliah praktikum yang pelaksanaanya harus dilakukan di dalam laboratorium komputer. STMIK Kaputama hanya memiliki memiliki 3 laboratorium komputer yang digunakan untuk memenuhi kebutuhan praktikum pada semua program studi, hal ini akan selalu menjadi masalah karena bertambahnya mahasiswa baru tiap tahunnya sementara laboratorium computer tidak pernah bertambah dalam kurun waktu 5 tahun belakangan ini, kondisi ini perlu ditanggulangi walapun memang pada saat pandemik COVID 19 ini tidak memakai laboratorim komputer, akan tetapi ini akan tetapi disaat normal nanti masalah ini akan tetap terjadi. Dalam mengatasi masalah akibat dari kurangnya sumberdaya laboratorium yang tersedia diperlukan cara mengoptimalkan ruangan praktikum sehingga dapat memenuhi kebutuhan laboratorium komputer dengan kapasitas yang memadai dengan menggunakan pemrograman integer linier, sehingga nilai maksimum dan nilai minimum dari variabel-variabel yang mempengaruhi pada setiap variabel keputusan dapat diketahui dalam memaksimal pemakaian laboratorium komputer yang tersedia. Dari hasil penelitian yang dilakukan terdapat total variables : 81, Total constraints : 13, Nonlinear constraints : 0, Total nonzeros : 117, Nonlinear nonzeros : 0, yang artinya maksimum pemakaian kelas dalam sehari dapat mencapai 18 SKS per hari.
SISTEM INFORMASI MANAJEMEN AKADEMI SENI BELA DIRI KARATE INDONESIA (SIMASKI) KALIMANTAN BARAT
Authors: Purwaningtias Deasy , Sabaruddin Raja , Wulandari Isti , Risdiansyah Deni
Published: September 2023

Akademi Seni Bela Diri Karate (ASKI) merupakan salah satu organisasi bela diri yang ada di Kalimantan Barat yang salah satu fungsinya sebagai lembaga pendidikan ilmu bela diri khususnya karate-Do yang terbuka untuk multi aliran karate. Setiap bulannya ASKI menerima pendaftaran atlit-atlit baru dengan mengisi formulir pendaftaran, atlit diwajibkan membayar iuran setiap bulannya, dan jika atlit ingin mengikuti ujian kenaikan sabuk, maka atlit wajib membayar biaya ujian. Permasalahan yang terjadi adalah sistem pencatatan pendaftaran dan pembayaran yang masih menggunakan media kertas yang memungkinkan kehilangan akibat pencurian maupun kesalahan pribadi, kebakaran, dan dimakan oleh rayap. Dalam pembuatan laporan pembayaran perbulan membutuhkan waktu yang cukup lama karena harus merangkum formulir pendaftaran. Berdasarkan permasalahan yang terjadi, maka penulis membuat tugas akhir yang berjudul Sistem Informasi Manajemen Akademi Seni Bela Diri Karate Indonesia (SIMASKI) Kalimantan Barat yang akan memudahkan sekretaris dan bendahara dalam mengelola pendaftaran, iuran, dan pendataan atlit. Pembuatan aplikasi ini penulis menggunakan text editor bernama CodeLobster dengan metode pengembangan perangka lunak air terjun (waterfall) yang terdiri dari analisis, desain, pembuatan kode program, pengujian, dan pemeliharaan (maintenance).
The Effect of Music on Heart Rate
Authors: Agrawal Ayush , Makhijani Neil , Valentini Penny
Published: September 2023

“Does music actually touch your heart?” Yes, it actually does. It has been shown that fast paced music increases heart rate and slow paced music decreases heart rate. The purpose of our experiment was to determine whether or not the two different kinds of music affect heart rate of adults in a high school setting. Thirty subjects above the age of 18 years were chosen randomly from the school. They were required to listen to two different songs with one being slow and the other being fast and upbeat, for a time period of 2.5 minutes each. The subject’s heart rate was taken before and after each song (4 times total) with a resting period of 1 minute between songs to allow the heart rate to recover back to a steady state. We hypothesized that slow music would decrease heart rate whereas fast music would accelerate it. The results at the end of our experiment showed that 93% of subjects experienced a decrease in heart rate following the slow song and 100% of subjects experienced an increase in heart rate following the fast song. We concluded that there is, indeed, a relationship between music and heart rate.
Which Diaper is More Absorbent, Huggies or Pampers?
Authors: Shramko Ariel , Shramko Amana , Shramko Athena
Published: September 2023

Our experiment’s purpose is to find which newborn diaper, Huggies Little Snugglers or Pampers Swaddlers, absorbs more simulated urine (5% salt water). The Pampers diaper is composed of an average of 3.97 g of sodium polyacrylate, linked on a thin thread, and an average of 0.71 g of cotton. Huggies has an average of 1.88 g of fine powdery sodium polyacrylate and an average of 6.97 g of cotton. Huggies has about 10 times the amount of cotton that Pampers has, while Pampers has only 2 times the amount of sodium polyacrylate that Huggies has. Based on the amount of sodium polyacrylate which absorbs 30 times its own weight in urine and the amount of cotton which absorbs 27 times its own weight, we predicted that Huggies would absorb more simulated urine. We added 1 mL of 5% salt water at a time until the indicator on each diaper was full. When the indicator signaled it was full, Huggies absorbed an extra 33 mL of 5% salt water compared to Pampers. When the diaper reached its leaking point in a vertical position, Pampers absorbed an average of 83 mL before leaking and Huggies absorbed an average of 130.5 mL. This shows Huggies absorbed 48 mL more of 5% salt water than Pampers. Both diapers absorbed more than 58 mL, the amount a newborn can urinate between each feeding. We believe the amount of cotton, the powdery sodium polyacrylate, the engineering design of the diaper, and other factors made Huggies more effective. So there you go parents! Huggies is more absorbent than Pampers.
An Investigative Analysis of Climate Change Using Historical and Modern Weather Data
Authors: Han Hugh , Kurtz Richard
Published: September 2023

The average air temperature has been increasing in recent years. The purpose of this study was to compare meteorological differences between the 1800s and 2000s using recorded historical and modern weather data from four different time periods, each separated by approximately 60 years. Historical weather data can be used to observe climate change in recent years and in the years dating back to the early 1800s to note if there has been an acceleration of the rate of temperature change over the past two centuries. In this study, air temperatures and various aspects of precipitation were observed and compared among the four time periods. Historical weather data from 1826-1836 were obtained from a journal recorded at Erasmus Hall High School (Brooklyn, NY), digitized, and compared to data recorded during 1894-1898, 1940-1948, and 2003-2012 from various weather stations in proximity to Erasmus Hall High School. Results showed that annual mean temperatures have increased at higher rates in more recent years and that the number of extreme days each year, defined as the days with temperatures ≥ 90ºF (32.2°C) or temperatures ≤ 10ºF (-12.2°C), increased over time. The number of days with precipitation each year has also increased; however, the amount of annual precipitation has remained constant throughout the 35 years used in this study.
The Development and Maximization of a Novel Photosynthetic Microbial Fuel Cell Using Rhodospirillum rubrum
Authors: Gomez Marcus V , Mai Gavin , Greenwood Tammy , Mullins John P
Published: September 2023

This study analyzes the potential viability of the photosynthetic bacterium Rhodospirillum rubrum for producing electricity via microbial fuel cell (MFC), as prior research has not investigated this capacity. A prototype for a photoMFC was developed using clear PVC along with carbon cloth and steel electrodes. Initial testing revealed that R. rubrum could produce power utilizing the photoMFC (peak power of approximately 1.25 W/m²). Having established R. rubrum ’s capacity for photoMFC performance, the wavelength of exposed light and resistance were modified to determine the ideal conditions. An analysis of variance (ANOVA) revealed that the differences in power outputs under varied wavelengths were statistically significant (p < 0.0001). Power curves were calculated to determine the optimal resistance via regression analysis (r² = 0.93, p < 0.0001, optimized resistance: 231 Ω). The fuel cell was lastly monitored under sunlight (in a greenhouse) over a 10-day trial, with results showing that the photoMFC could perform effectively under practical outdoor conditions. Under optimal conditions, the R. rubrum photoMFC was predicted to produce maximum instantaneous power of 1.25 W/m². In comparison to other high-power output photoMFCs, the R. rubrum photoMFC performed about 44% as effectively. Although the R. rubrum photoMFC did not perform as efficiently as other reported photoMFCs, its abundance in facilities that invite practical MFC implementation such as wastewater treatment coupled with the fact that R. rubrum is both a heterotrophic and photosynthetic bacteria support its usefulness in realistic, large-scale industrial MFC models.
Using a Risk Assessment Questionnaire to Identify Prediabetics and Diabetics in Tandag, Philippines
Authors: Neatrour Greg , Graves Allison , Aloi Joseph
Published: September 2023

This study highlights the importance of extending medical awareness to outreach communities and explores the creation of a risk assessment questionnaire to help detect diabetes in Filipino participants in Tandag, Philippines. The aim of this work is to help indigent Filipinos in remote villages receive medical care if necessary. A risk assessment tool can act as a self-completion questionnaire for participants to identify themselves as diabetics or prediabetics in order to seek appropriate medical attention. Therefore, Filipino participants living in remote villages will not have to travel several hours to receive diabetic blood testing unless diagnosed by the risk assessment tool.

The development of the risk assessment tool takes the following assessments into consideration: blood pressure, body mass index (BMI), waist circumference, family history, and diabetic symptoms. The research hypothesis states that a risk assessment questionnaire will determine if a person is diabetic. The null hypothesis claims that a risk assessment questionnaire will not determine if an individual is diabetic. The data rejects the null hypothesis since a statistically significant correlation is found between blood glucose levels and total points. A positive correlation is found between total points and BMI, supporting that a risk assessment questionnaire can detect those at risk for diabetes and prediabetes.
Focusing Sound Waves Using a Two-Dimensional Non-Linear System
Authors: Wehr Thorsen M , Wehr Jeffrey R
Published: September 2023

Sound can be focused through a non-linear acoustic lens to produce high-energy waves capable of a variety of applications, such as eradicating cancer cells. Our previous research focused sound using a primitive system incapable of precise and predictable targeting. We engineered and assembled an improved device for focusing longitudinal waves that consisted of a non-linear acoustic lens, a release system, and a microphone recording array for data collection. During experimental trials the non-linear acoustic lens had a force applied to each of the 11 chains depending on the chain number from the desired focal point. Central trials focused sound waves to a calculated focal point to the center of the lens, while right side trials focused sound waves to the right side of the lens. The relative sound amplitude was recorded using a microphone array, analyzed, and averaged using sound analysis software. The average relative amplitudes of the control data compared to the experimental data at the predicted focal points were examined using a two-tailed t-test and were significantly different. This research was considered a success because the non-linear acoustic lens produced an evident increase in relative amplitude at a speciﬁc focal point in both sets of experimental trials.
Molecular Dynamics Simulations of Periplasmic Proteins Interacting With the Peptidoglycan Layer of Escherichia coli
Authors: Lalgudi Pranav , Elcock Adrian H
Published: September 2023

There has long been interest in using in silico methods to model complex biological systems, such as cells, for self-evident implications in molecular biology and medicine. Molecular dynamics (MD) simulations are ideal for the construction of such models due to the atomic resolution they provide. We use MD in this work to construct and simulate a preliminary model of the periplasmic space, the peptidoglycan layer and its associated proteins, in an E. coli cell. During an initial 23 nanoseconds (ns) MD simulation including 13 of the most abundant periplasmic proteins, the proteins and the peptidoglycan layer were characterized by several interactions. This work provides one of the first steps along the path to creating a complete and comprehensive model of a biological cell.
Development of Diet-Induced Insulin Resistance in Drosophila melanogaster and Characterization of the Anti-Diabetic Effects of Resveratrol and Pterostilbene
Authors: Dhar Arko S , Syed Maryam , Romero Damian G
Published: September 2023

As the prevalence of type II diabetes mellitus (T2DM) has increased, so has the need to further examine the disorder’s underlying features and potential treatment options. The common fruit fly Drosophila melanogaster has proven to be a convenient model organism to study T2DM, but whether it can serve as a model organism to identify T2DM treatment remains unanswered. To answer this question, we attempted to establish a T2DM model in Drosophila. We induced insulin resistance (IR) in Drosophila through high sucrose diet (HSD) and characterized the therapeutic effects of the polyphenols Resveratrol and Pterostilbene. Drosophila pupation rates were evaluated for signs of developmental delay. Physical activity tests that measured 3rd instar larvae crawling rates were performed. Upon the verification of HSD effects on Drosophila phenotype, assays incorporating the polyphenolic treatment groups were performed. Statistically significant results from the study include a developmental delay, decreased physical activity in HSD larvae, and increased weight and glucose concentration levels in HSD-fed adult Drosophila. Resveratrol and Pterostilbene treatment notably overturned the weight gain and glucose levels, while preliminary results from the real-time PCR and oxidative stress resistance assays were inconclusive. Altogether, the results of this study suggest that Drosophila can be utilized as a model organism to study T2DM and novel T2DM pharmacological treatments.
Phytochemical Analysis of Amaranthus spinosus Linn.: An in vitro Analysis
Authors: Sharma Ishir , Kasture Pooja , Umrao Ankita , Rao Jyothsna , Rao Gururaj
Published: September 2023

Mainstream cancer treatments, which include radiotherapy and chemotherapeutic drugs, are known to induce oxidative damage to healthy somatic cells due to the liberation of harmful free radicals. In order to avert this, physiological antioxidants must be complemented with external antioxidants. We performed a preliminary phytochemical screen to identify alkaloids, saponins, flavonoids, polyphenols, and tannins in all parts of the Amaranthus spinosus Linn. plant. Based on the hits we obtained, we combined the methanolic extract of the leaves with the acetonic extract of the inflorescence, which resulted in a highly potent formulation which was abundant with the all the desired phytocomponents such as saponins, tannins, polyphenols, flavonoids, alkaloids. We hypothesised that this crude herbal extract, AS20, will exhibit high antioxidant properties. Using the 2,2′-diphenyl-1-picrylhydrazyl radical (DPPH) assay, we found that the half maximal inhibitory concentration (IC50) value of this formulation was 85.27 μg/mL. This paper describes the preparation of this crude extract and assesses its antioxidant properties for potential use in complementary cancer treatment.
Use of drone with sodium hydroxide carriers to absorb carbon dioxide from ambient air
Authors: Jagannathan Tanay , Chandramouli Arvind , Ramachandran Kishan , Dev Shlok , Devi Eriyat Lakshmi , Sharma Kanchan , Rajamani Christopher
Published: September 2023

Global warming occurs when air pollutants collect in the atmosphere and absorb sunlight and solar radiation, and as much as 80% of global warming is caused by carbon dioxide alone. Many metropolitan cities like Delhi, India have carbon dioxide (CO2) levels 11 times higher than the levels recommended by the World Health Organization. Prior research has mainly concentrated on removing CO2 from sources like automobile exhaust and industry effluents. However, there has been limited research pertaining to the use of hydroxides to reduce CO2 in ambient air. We therefore conducted experiments to identify the most suitable hydroxide in solid form to capture low concentrations of CO2. Furthermore, we explored the possibility of using an electrically-charged drone to reduce CO2 in the air using a solid hydroxide. Our results indicate that sodium hydroxide (NaOH) is most suitable for scrubbing CO2 from air, with up to 90% reduction in carbon dioxide levels under the experimental conditions. Since the troposphere stretches up to 13 km above sea level and military drones can fly up to 18 km above sea level, drone attachments with CO2-absorbing chemicals could potentially clean the air at all levels in the troposphere. Our study provides a possible solution to mitigate the harmful impacts of carbon dioxide present in the atmosphere.
Predicting asthma-related emergency department visits and hospitalizations with machine learning techniques
Authors: Chatterjee Kushal , Williams Richard
Published: September 2023

With the World Health Organization’s declaration that 90% of the world breathes hazardous air, there is an increasing need to investigate the effects of ambient pollutants on human respiratory health. This research uses machine learning (ML) to examine asthma in Los Angeles County, an area with substantial pollution, and determine the success of classifiers in predicting future asthma-related hospitalizations. The objectives of applying ML-based solutions into healthcare are trifold. Firstly, it identifies the ML models that most accurately predict asthma hospitalizations. Secondly, it evaluates the significance of the correlation among ambient pollution, weather, and asthma. Ultimately, the model serves as a clinical support system to forewarn health care providers of asthma exacerbations. The hypothesis was that ML classification techniques would be able to predict asthmatic census based on ambient pollution and weather, displaying a positive trend between pollutant levels and asthma hospitalizations. The models revealed that nitrogen dioxide (NO2) and ozone (O3) levels were significantly correlated with asthma hospitalizations. A simple decision tree was the least accurate but useful in selecting features for other models. K-nearest neighbors, random forest, gradient boosting, and support vector machine classifiers predicted the asthma quartile with accuracies of 68%, 65%, 64%, and 62%, respectively. Overall, four ML classifiers were promising predictors, all showing consistency in k-fold crossover testing. The seasonal surge in asthma hospitalizations suggests that further research should explore other seasonal variables and ML classifiers to improve the models.
Machine learning-based enzyme engineering of PETase for improved efficiency in plastic degradation
Authors: Gupta Arjun , Agrawal Sangeeta
Published: September 2023

Globally, nearly one million plastic bottles are produced every minute. These non-biodegradable plastic products are composed of polyethylene terephthalate (PET). In 2016, researchers discovered PETase, an enzyme from the bacteria Ideonella sakaiensis that breaks down PET and nonbiodegradable plastic. Temperatures above 60 – 65 °C are optimal for PET degradation as the polymer chain fluctuates in this range, allowing water molecules to enter and weaken the chains. However, PETase has low efficiency at these temperatures, thus limiting its usage. Here, we optimized the rate of PET degradation by PETase by designing new mutant enzymes that could break down PET much faster than PETase. We used machine learning-guided directed evolution to modify PETase to have a higher optimal temperature (Topt), which would allow the enzyme to degrade PET more efficiently. First, we trained three machine learning models to predict Topt with high performance, including Logistic Regression, Linear Regression, and Random Forest. We then used Random Forest to perform machine learning-guided directed evolution. Our algorithm generated hundreds of mutants of PETase and screened them using Random Forest to select mutants with the highest Topt. After 1000 iterations, we produced a new mutant of PETase with Topt of 71.38 °C. We also produced a new mutant enzyme after 29 iterations with Topt of 61.3 °C. To ensure these mutant enzymes would remain stable, we predicted their melting temperatures using an external predictor and found the 29-iteration mutant had improved thermostability over PETase. Using this approach and novel algorithm, scientists can optimize additional enzymes for improved efficiency.
Investigation of the correlation between trihalomethane concentrations and socioeconomic factors in NY State
Authors: Lee Stephanie , Park Sang H
Published: September 2023

Recent environmental justice studies have found associations between low drinking water quality and socioeconomic indicators such as income and race. Trihalomethanes, probable human carcinogens, are commonly found disinfection by-products (DBPs) in public water systems (PWS). Although trihalomethanes are correlated with socioeconomic indicators, there is a knowledge gap regarding how the level of contaminants correlates with socioeconomic indicators and other physicochemical factors in specific regions. Therefore, we investigated the correlation between trihalomethane concentrations and socioeconomic factors in New York State with more practical and insightful data analysis and interpretation compared to those in previous studies by providing more detailed city-level data and water system characteristics affecting the correlation. We found a negative correlation between median household income and trihalomethane concentrations in the state. The communities served by PWS using groundwater sources had lower trihalomethane concentrations and higher household income, suggesting that water quality parameters contribute to the negative correlation between trihalomethanes and income levels. The inverse association between trihalomethanes and household income may indicate socioeconomic disparity regarding drinking water quality and the need for improved efforts to assist small- and medium-sized community water systems to lower DBP levels in New York State because small- or medium-sized systems may have fewer resources to apply DBP control and removal technologies compared to large systems.
A SUCCESSFUL SEARCH FOR SYMMETRY (AND OTHER DERIVED RELATIONS) IN THE CONDITIONAL DISCRIMINATIONS
Authors:   Purdue University, Urcuioli Peter J.
Published: September 2023

Symmetry is one of three derived relations (along with transitivity and reflexivity) that indicate that explicitly trained conditional relations are equivalence relations and that the elements of those trained relations are members of a stimulus class. Although BA symmetry is typically observed after AB conditional discrimination training in humans, it has been an elusive phenomenon in other animals until just recently. This paper describes past unsuccessful attempts to observe symmetry in non-human animals and the likely reasons for that lack of success. I then describe how methodological changes made in response to the earlier findings have now yielded robust evidence for symmetry in pigeons, and what these changes indicate about the functional matching stimuli. Finally, I describe a theory of stimulus-class formation (Urcuioli, 2008) which specifies how and why symmetry and other derived relations arise from different sets of trained relations. These derived relations are noteworthy because they demonstrate an impressive repertoire of non-similarity-based categorization effects in animals and the generative effects of reinforcement and stimulus control processes on behavior.