bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Model Scrum pada Sistem Informasi Seleksi Masuk Mahasiswa Politeknik Pariwisata Palembang
Authors: Ependi Usman
Published: September 2023

SCRUM is one of the agile development that put the speed in the process forward. In the development process SCRUM embraces three main rules: product owner (PO), SCRUM master (SM), and cross functional supported by five backlog refinement, sprint planning, daily meeting, reviews, and sprint retrospective activities. SCRUM ability is very suitable with the conditions that occur in Poltekpar Palembang which requires student enrollment selection information system to fulfill the quota of admission of new students in a short time. Therefore, this research, conducted to develop modified SCRUM SMM information system with the requirement gathering stage, product backlog, sprint backlog, sprint, IS development, and delivery-implementation. The final result of this research is SMM Information System of Poltekpar Palembang that can really fulfill user requirement which can be seen from SMM information system product backlog. SMM Information System of Poltekpar Palembang also has a feature that can serve as the main information system of Poltekpar Palembang in student admission as an effort to fulfill the student admission quota.
QR Code Mobile sebagai Pendukung Rekam Medik Berkas Rawat Jalan RS. St. Elisabeth Semarang
Authors: Kurniawan Aldhi Ari , Utomo Danang Wahyu
Published: September 2023

Medical record play important role in order to improve hospital healthcare quality. Medical record must provide proper, fast, and relevant data. Current medical records documentation is manual based in mean the documents are available in notes and document maps. There is no integration among the document, and it can caused a misunderstanding among hospital stakeholder such as doctor or nurse and also duplicated data. QR code is one of alternative to handle completeness file, searching document, and store all document. The combination between QR code, web and mobile platform can handle the problem faced by hospital stakeholder. In testing phase, the proposed system can handle medical record problem in RS. St. Elisabeth. Average of respondent, more than 50% state that sistem is good to handle tracking record, completeness file, and store.
Implementasi aplikasi kehadiran perkuliahan dikelas menggunakan pembaca RFID pada e-KTP
Authors: Akbar Muhamad , Effendy Irman
Published: September 2023

This research was conducted to help the process of teaching and learning in the classroom by utilizing the information obtained from class attendance e-KTP reader. E-ID card now has a chip that can be used and owned by students to solve class attendance problem. In this research, information that obtained from e-KTP is used as application input. This research built an application that can read the information saved in the e-KTP chip card, then used as the student class attendance counter. The descriptive and qualitative methodology was used in this research. This research aimed to help the university stakeholder to effectively and efficiently monitor students and lecturers attendance.
Unified Modeling Language (UML) Model Untuk Pengembangan Sistem Informasi Akademik Berbasis Web
Authors: Prihandoyo M Teguh
Published: September 2023

Information technology are two things that can not be separated at this time, it is seen from the process to obtain information that can be obtained quickly, precisely, and accurately supported by technological progress is increasingly sophisticated. Politeknik Harapan Bersama Tegal is one of the educational institutions that have a complete system in data processing, which requires all data to be well processed, stored neatly and easily traced. The purpose of this research is to develop academic information system at Politiknik Harapan Bersama Tegal by using Unified Modeling Language (UML) model as model development that made. The final result of this research is a web-based acadeic information system that can provide optimization of Service Plan study cards and students of Politeknik Harapan Bersama Tegal.
Penilaian Tingkat Kematangan Keselarasan Strategi Bisnis Dan TI Menggunakan Luftman Maturity Model (Kasus : Unika Soegijapranata)
Authors: Prasetya F X Hendra , Harnadi Bernardinus , Nugroho Agus Cahyo
Published: September 2023

ITGI (IT Governance Institute) states that the alignment of business strategy and IT organization is the key to realizing the benefits of IT for business. The large gap / gap between IT strategy and business strategy will have an impact on the organization's business performance, especially if the organization relies on IT in its business operations or making IT as one of its selling points. Unika Soegijapranata as one of the tertiary institutions sees IT as a mandatory requirement to build competence and capability in the context of competition in its area. The purpose of this study is to assess the alignment level of business and IT strategies at Soegijapranata Unika by using the Luftman SAMM (Strategic Alignment Maturity Model) model. This study uses data collection methods through questionnaires and interviews with University leaders and University IT Institution Leaders. Currently Unika Soegijapranata has a strategic alignment value that is at level 4 (Improved / Managed Process), where at level 4 institutions are said to have focused on investing in IT to win the competition.
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARIR BERBASIS WEB
Authors: Hendriyani Yeka , Ambiyar Ambiyar , Dewi Ika Parma
Published: September 2023

This research aims to design a Decision Support System (DSS) to choose a job with web base. So that later this system can be a container consulting user or meember in determining the choice of type of work in accordance with the personality they have. The input data used is the result of personality tests then the data will be processed using Case Based Reasoning (CBR) method to be matched with the psychological value of personality then matched to the type of work then the system will give advice job vacancy according to his personality. The design of this system using structured system design model as data flow and object-based system design is Unified Modeling Language (UML), PHP as programming language with Codeigniter faramework, and MySQL as database. The results of this study is an application that can be used by the community to consult in determining the appropriate job type choices.
Pengembangan Sistem Informasi Manajemen Tugas Akhir Mahasiswa (Fakultas Ilmu Komputer Universitas Singaperbangsa Karawang)
Authors: Sari Betha Nurina , Jaman Jajam Haerul
Published: September 2023

Salah tujuan untuk mewujudkan visi dan misi Fakultas Ilmu Komputer (Fasilkom) adalah menghasilkan lulusan yang memiliki kompetensi di bidang informatika. Hal ini menunjukkan bahwa masalah pengelolaan tugas akhir mahasiswa sebagai syarat mahasiswa bisa lulus termasuk hal yang prioritas. Mayoritas mahasiswa yang belum menyelesaikan tugas akhir ini sudah bekerja, sehingga terkendala masalah waktu tatap muka dan bimbingan dengan dosen pembimbing. Penelitian ini akan mengembangkan sistem informasi pengelolaan tugas akhir berupa media komunikasi bimbingan dengan mahasiswa, rangkuman catatan selama bimbingan, data mahasiswa tugas akhir berdasarkan fase pengerjaannya. Pengembangan sistem informasi menggunakan model extreme programming (XP),yaitu melalui tahap perencanaan, desain, pembuatan kode, kemudian pengujian. Perencanaan dilakukan dengan wawancara, observasi dan penyebaran kuisioner. Desain sistem informasi dilakukan menggunakan Balsamiq mock up. Tahap penulisan program menggunakan bahasa pemrograman PHP, framework Code Igniter 3. Pengujian dengan metode black box testing atau usability testing.
Deteksi Jumlah Percabangan pada Trabecular Bone Menggunakan COSFIRE Filter untuk Identifikasi Osteoporosis
Authors: Wihandika Randy Cahya
Published: September 2023

Tulang rahang adalah salah satu tulang yang terkena pengaruh penurunan kepadatan mineral tulang yang diakibatkan oleh osteoporosis. Karena itu, citra radiograf panoramik gigi dapat digunakan untuk mengidentifikasi osteoporosis. Beberapa penelitian sebelumnya menunjukkan bahwa jumlah percabangan pada struktur tulang berbeda antara pasien normal dan pasien dengan kepadatan mineral tulang yang rendah. Namun, kontras yang rendah dan terdapatnya noise pada citra radiograf panoramik membuat ekstraksi struktur tulang menjadi sulit. Untuk itu, dibutuhkan sebuah metode untuk memperkuat struktur pada tulang tersebut.Pada penelitian ini, diusulkan sebuah metode untuk mendeteksi percabangan pada trabecular bone dengan enhancement pada struktur tulang menggunakan metode line operator. Dari struktur tersebut, lokasi percabangan dideteksi menggunakan metode COSFIRE. Kemudian, jumlah percabangan digunakan untuk membedakan antara radiograf pasien normal dan radiograf pasien osteoporosis.Pengujian klasifikasi dilakukan pada 98 citra yang terdiri atas 41 citra pasien osteoporosis dan 57 pasien normal. Hasilnya adalah sensitivity, specificity, dan akurasi masing-masing sebesar 0,90244, 0,23214, dan 0,51546. Hasil tersebut menunjukkan bahwa metode yang diusulkan menghasilkan performa yang lebih baik daripada metode sebelumnya.Tulang rahang adalah salah satu tulang yang terkena pengaruh penurunan kepadatan mineral tulang yang diakibatkan oleh osteoporosis. Karena itu, citra radiograf panoramik gigi dapat digunakan untuk mengidentifikasi osteoporosis. Beberapa penelitian sebelumnya menunjukkan bahwa jumlah percabangan pada struktur tulang berbeda antara pasien normal dan pasien dengan kepadatan mineral tulang yang rendah. Namun, kontras yang rendah dan terdapatnya noise pada citra radiograf panoramik membuat ekstraksi struktur tulang menjadi sulit. Untuk itu, dibutuhkan sebuah metode untuk memperkuat struktur pada tulang tersebut.Pada penelitian ini, diusulkan sebuah metode untuk mendeteksi percabangan pada trabecular bone dengan enhancement pada struktur tulang menggunakan metode line operator. Dari struktur tersebut, lokasi percabangan dideteksi menggunakan metode COSFIRE. Kemudian, jumlah percabangan digunakan untuk membedakan antara radiograf pasien normal dan radiograf pasien osteoporosis.Pengujian klasifikasi dilakukan pada 98 citra yang terdiri atas 41 citra pasien osteoporosis dan 57 pasien normal. Hasilnya adalah sensitivity, specificity, dan akurasi masing-masing sebesar 0,90244, 0,23214, dan 0,51546. Hasil tersebut menunjukkan bahwa metode yang diusulkan menghasilkan performa yang lebih baik daripada metode sebelumnya.
Implementasi Algoritma Binary Tree dan Sequential Searching pada Aplikasi Web Multilevel Marketing
Authors: Mulyana Iyan Hadi , Rifqi Mohammad
Published: September 2023

Abstrak - Di Indonesia bisnis Multilevel Marketing (MLM) masih cukup banyak diminati masyarakat. Salah satu perusahaan yang bergerak dibidang bisnis Multilevel Marketing adalah PT. TSP dengan sistem Multilevel Marketing Binari. Sistem bisnis ini memvisualisasikan jaringan bisnisnya ke dalam pohon hirarki biner atau sering kita sebut Binary Tree. Pohon biner sendiri merupakan konsep pengorganisasian secara hirarki dari beberapa buah simpul dimana masing-masing simpul mempunyai maksimum 2 anak (child). Posisi simpul yang berada di atas simpul lainnya disebut induk (parent) dan simpul yang berada di bawah sebuah simpul disebut anak (child). Pembentukan pohon jaringan pada bisnis MLM sangatlah penting karena akan mempengaruhi hasil perhitungan bonus/komisi. Pada studi kasus PT. TSP terdapat permasalahan dalam menampilkan pohon jaringan bisnis MLM. Dimana terdapat beberapa simpul yang tidak mempunyai induk sehingga pohon jaringan terputus, tidak menjadi satu pohon jaringan yang utuh. Hal ini membuat perhitungan bonus/komisi menjadi sedikit kacau. Maka penerapan algoritma Binary Tree dirasa tepat untuk memvisualisasikan jaringan bisnis MLM. Algoritma Sequential Searching merupakan sebuah algoritma pencarian data secara urut yang prosesnya membandingkan setiap elemen satu per satu dari awal atau dari akhir.
RANCANG BANGUN APLIKASI JUZ’AMMA BERBASIS ANDROID MENGGUNAKAN METODE CHILD CENTERED DESIGN PADA TPQ AL-MUCHTAR BEKASI
Authors: Jaya Iwan , Rahmadi Rahmadi , Soleh Muhammad Nur
Published: September 2023

Al-Qur’an adalah kalam Ilahi yang selalu terjaga oleh penghafal Al-Qur’an, di dalam Al-Qur’an ada surat pendek yang disebut Juz’amma. Hafalan Al-Qur’an merupakan kegiatan mengingat bacaan Al-Qur’an, supaya dapat  mengetahui apabila ada yang merombak atau memodifikasi Al-Qur’an. Saat ini dunia telah saling terhubung dan saling mempengaruhi, menghadapi suatu masa dimana teknologi telah memasuki segala bidang di kehidupan manusia. Pemakaian smartphone pada masa kini menjadi hal yang biasa. Tujuan perancangan aplikasi juz’amma berbasis android menggunakan metode Child Centered Design (CCD) adalah sebagai media pembantu menghafal bagi murid TPQ Al-Muchtar Bekasi antara usia 5-10 tahun yang kesuitan dalam menghafal surah pendek juz’amma dapat diakses melalui teknologi smartphone.Dalam pembuatan aplikasi juz’amma berbasis android menggunakan user interface yaitu Child Centered Design (CCD) sebagai metode perancangan tampilan aplikasi dan untuk metode pembelajaran menghafal bagi anak yang digunakan adalah metode Murottal (Mendengarkan ayat-ayat Al-Qur’an). Hasil analisis dari penerapan metode Murottal yang digunakan pada aplikasi sebagai metode pembelajaran menghafal pada anak usia 5-10 tahun sangatlah efektif bagi anak yang kesulitan menghafal surah pendek juz’amma dalam kegiatan sehari-hari pada TPQ Al-Muchtar Bekasi. Tool yang digunakan dalam membangun aplikasi juz’amma yaitu pemrograman Java, Xml, Plugin, dan Android Studio 4.2.
Sistem Deteksi Kemurnian Beras berbasis Computer Vision dengan Pendekatan Algoritma YOLO
Authors: Budiyanta Nova Eka , Mulyadi Melisa , Tanudjaja Harlianto
Published: September 2023

Penelitian ini bertujuan untuk menerapkan sistem deteksi kemurnian beras terhadap campuran kotoran untuk dapat digunakan sebagai parameter nilai untuk mensortir kotoran yang terdeteksi pada proses kontrol kualitas beras. Sistem yang dikembangkan pada penelitian ini berbasis computer vision menggunakan kamera sebagai sensor. Data citra yang didapat dari kamera selanjutnya diproses untuk mengenali objek beras yang murni dan objek kotoran yang tercampur pada kumpulan beras. Penelitian ini berfokus pada algoritma deteksi objek batu atau kerikil (gravel) pada proses produksi beras. Proses deteksi objek pada penelitian ini menggunakan metode You Only Look Once (YOLO) v3. Secara keseluruhan sistem deteksi objek pada penelitian ini berjalan baik. Proses pelatihan model berhasil meminimalisir loss secara signifikan dengan nilai loss sebesar 1.89 di iterasi ke 1000 menjadi 0.16 di iterasi ke 15000. Seiring dengan keberhasilan proses pelatihan model, pengujian model pada penerapan proses deteksi juga berjalan baik yang ditunjukkan dengan nilai rerata akurasi sebesar 86.11%.
Comparison of Support Vector Machine and Naïve Bayes on Twitter Data Sentiment Analysis
Authors: Styawati Styawati , Isnain Auliya Rahman , Hendrastuty Nirwana , Andraini Lili
Published: September 2023

Twitter is a social media that is widely used by the public. Twitter social media can be used to express opinions or opinions about an object. This shows that there is a huge opportunity for data sources, so they can be used for sentiment analysis. There are many algorithms for performing sentiment analysis, including Support Vector Machine (SVM) and Naive Bayes (NB). Because of the many opinions regarding the performance of the two methods, the researcher is interested in classifying the data using the SVM and NB methods. The data used in this study is data on public opinion regarding the Covid-19 vaccination policy. The first classification process is carried out by the SVM method using various kernels. After getting the highest accuracy result, then the accuracy result is compared with the accuracy value from the NB method classification results.
Analisis Kualitas Aplikasi E-Exam Menggunakan Standar ISO 25010
Authors: Tyas Gugi , Purnamasari Detty , Suroso Amat
Published: September 2023

Examination is a process carried out to measure the achievement of student competencies on an ongoing basis in the learning process, to monitor progress, make learning improvements, and determine student learning success. In 2019, SMK Negeri 6 Bekasi City began to use the E-Exam Application for the implementation of exams, both the Mid-Semester Examination or better known as UTS, Semester Final Examination or better known as UAS and School Examination or better known as US. Approaching 2 years of use, the E-Exam Application of SMK Negeri 6 Bekasi City has not been analyzed for software. The results of the evaluation of the quality of the E-Exam software at SMK Negeri 6 Bekasi City are expected to be a reference for developing and fulfilling the wishes of every citizen of SMK Negeri 6 Bekasi City, to be able to carry out online exams well. ISO 25010 testing is a standard that is widely used to evaluate, measure and test the quality of software. The ISO used for this research is version 25010, this version is a continuation of ISO/IEC 9126 with the addition of several structures and parts of the quality model standard. In this study, we will discuss the analysis of application quality using the ISO 25010 standard.
Perancangan Aplikasi Android Pembentukan Karakter Taruna Tingkat I PIP Semarang
Authors: Heriyawan Mohammad Sapta , Djari Janny Andriani
Published: September 2023

The existence of the Covid-19 pandemic has resulted in the PIP Semarang Level I cadet education process being carried out online, including the formation of cadet character. This study presents an approach in growing and shaping the character of the Level I PIP Semarang cadets with android-based application media. The character building application is made to instill character values that must exist in PIP Semarang Level I cadets in order to build a nation with Indonesian character. With this android-based application, it can assist in creating, converting, storing, communicating and disseminating information that will be developed as a model for Taruna Character Education at the Semarang Shipping Science Polytechnic. Development using the waterfall method and testing using blackbox. Based on the results of the blackbox test, it can be said that the test results can be said to have worked well and correctly with an increase in the overall weighted average value before and after system development with a difference of 1.45
Rancang Bangun Mesin Presensi berbasis Metode Pengenalan Wajah HoG berbantuan Proses Klasifikasi Linear SVM
Authors: Matthew Samuel , Manalu Ferry Rippun Gideon , Budiyanta Nova Eka
Published: September 2023

Di dalam daerah perkantoran, salah satu benda yang sering disentuh adalah alat presensi/pencatat kehadiran. Studi ini bertujuan untuk menerapkan sistem presensi berbasis metode pengenalan wajah menggunakan Raspberry Pi dan kamera dilengkapi dengan sensor pendeteksi suhu tubuh berbantuan aplikasi web. Pendekatan pengenalan wajah yang dilakukan dalam studi ini adalah Histogram of Oriented Gradients (HoG) didukung dengan linear Support Vector Machine (SVM). Hasil yang didapatkan dalam studi ini berupa sebuah mesin presensi yang mampu mengenali wajah pengguna yang sudah terdaftar dengan tingkat akurasi sebsar 98% pada 43,02 frame per detik (idle) dan 2,90 frame per detik (aktif) dengan menggunakan dataset berisikan 20 data tiap wajah (20 data x 20 wajah = 400 data). Sensor yang digunakan dapat mengukur suhu dengan akurasi ±0,5°C. Daftar kehadiran dapat diakses oleh pihak yang berkepentingan melalui situs web yang menampilkan data dari basis data. Untuk menanggulangi kesalahan sistem pada saat uji coba, presensi secara manual dapat dilakukan melalui aplikasi berbasis web.
Deteksi Pengendara Mengantuk dengan Kombinasi Haar Cascade Classifier dan Support Vector Machine
Authors: Ilmadina Hepatika Zidny , Apriliani Dyah , Wibowo Dega Surono
Published: September 2023

Microsleep sering terjadi pada aktivitas kita tanpa disadari, terutama pada saat berkendara. Hal tersebut menjadi salah satu faktor penyebab kecelakaan yang diakibatkan kesalahan manusia seperti mengantuk, tidak fokus, dan kelelahan menyumbangkan porsi 61%, selain itu 9% dikarenakan faktor kendaraan, serta 30% disebabkan oleh faktor prasarana dan lingkungan. Beberapa teknik deteksi microsleep melalui kedipan mata telah dikembangkan antara lain menggunakan eye aspect ratio, yaitu thresholding manual dengan menetapkan detik minimal mata menutup/berkedip. Pada penelitian ini dilakukan deteksi pengendara mengantuk dengan kombinasi Haar Cascade yang mengklasifikasi wajah pengendara, serta metode Support Vector Machine yang mampu menentukan mata menutup dan membuka. Implementasi pada sistem deteksi pengendara mata mengantuk secara real time akurasi mencapai 99%. Penelitian ini diharapkan dapat membantu dalam mengurangi bahkan mencegah terjadinya kecelakaan yang disebabkan oleh microsleep yang dapat dideteksi secara dini melalui kedipan mata pengendara.
Analisa Keamanan Data Melalui Website Zahra Software Menggunakan Metode Keamanan Informasi CIA Triad
Authors: Hermawan Adi , Hartati Tuti , Wijaya Yudhistira Arie
Published: September 2023

Dewasa ini perkembangan teknologi semakin pesat tak terkecuali perkembangan pada bidang teknologi informasi, banyak perusahaan yang memanfaatkan perkembangan teknologi dengan menggunakan web app sebagai media penyimpanan data perusahaan sehingga perlu tindakan serius dalam mengamankan web app tersebut. Salah satu perusahaan yang memanfaatkan perkembangan teknologi informasi dengan membuat sebuah web app yang diberi nama Zahra Software, Zahra Software adalah sebuah web app yang dipergunakan untuk penyimpanan data perusahaan namun perusahaan belum mengetahui sejauh mana keamanan dari Zahra Software tersebut sebagai media penyimpanan data perusahaan sehingga perlu tindakan analisa untuk mengetahui sejauh mana keamanan yang dimiliki Zahra Software sesuai indikator keamanan yang digunakan oleh para ahli yaitu CIA Triad. Tujuan dari penelitian ini adalah untuk mengetahui sejauh mana keamanan yang dimiliki oleh web app Zahra Software sebagai media penyimpanan data perusahaan. Penelitian ini menggunakan metode CIA Triad yang terdiri dari confidentiality (kerahasiaan), integrity (integritas), dan availability (ketersediaan) untuk mengukur sejauh mana keamanan yang dimiliki oleh suatu web app. Berdasarkan hasil penelitian didapatkan bahwa web app Zahra Software telah memenuhi 3 indikator utama keamanan informasi yang terdiri atas confidentiality meliputi block direct, integrity meliputi filterisasi data dan user, serta availability yang meliputi autentikasi.
Implementasi Optical Character Recognition berbasis Deep Learning untuk Ekstraksi Data Sertifikat Tanah
Authors: Pratomo Dinar Nugroho , Kusumaning Putri Diyah Utami , Azhari Azhari
Published: September 2023

Data yang dimiliki BPN berupa salinan sertifikat tanah sudah terhimpun di brankas penyimpanan pada setiap BPN daerah bertahun-tahun lamanya. Banyak kasus yang dapat membuat pajak yang seharusnya ditanggung oleh pemilik tanah bisa jadi tidak terbayarkan karena kurangnya pembaharuan data. Permasalahan ini adalah belum adanya pendigitalisasian data dengan baik. Kegiatan penelitian diawali dengan pengumpulan contoh beberapa salinan sertifikat tanah dari beberapa BPN daerah Brebes, kemudian dilakukan pra-pemrosesan data (pre-processing) dengan 3 tahapan yaitu scalling, greyscalling, dan binarization.  Metode yang digunakan menggunakan OCR dan CNN untuk mengekstraksi data yang diperoleh. Pengujian dilakukan di setiap halaman penting pada sertifikat. Halaman tersebut adalah bagian cover, pendaftaran pertama, surat ukur, kutipan dan daftar buku c. setiap halaman memiliki hasil ekstraksi data yang berbeda sesuai dengan pelabelan model yang sudah dilakukan. Rata-rata prosentase hasil kesesuaian sebesar 97,05%. Hal ini membuktikan bahwa metode yang digunakan sudah sangat handal.
Penilaian Kredit Menggunakan Algoritma XGBoost dan Logistic Regression
Authors: Yaqin Ainul
Published: September 2023

Penilaian kredit merupakan suatu proses atau sistemyang digunakan oleh lembaga pembiayaan atau bank untukmenilai kelayakan seseorang yang mengajukan pinjaman. Halini sangat diperlukan untuk menghindari kerugian akibat gagalbayar. Menanggapi hal tersebut dibutuhkan sebuah metodeyang efisien, cepat dan akurat untuk mengklasifikasikan layakatau tidaknya seseorang untuk diberikan pinjaman. Penulismengusulkan metode machine learning dan membandingkanalgoritma XGBoost dan logistic regression. Setelah dilatih dandiuji dengan stratified kfold cross validation, XGBoostmenghasilkan rata-rata akurasi 85,51%; F1 Score 83,81%;precision 83,80% dan recall 84,04% sedangkan logisitcregression menghasilkan rata-rata akurasi 85,94%; F1 Score85,36%; precision 80,08%; dan recall 91,52%. Kedua algoritmadapat mengklasifikasikan layak atau tidaknya seseorang untukdiberikan pinjaman dengan baik, sehingga dapat digunakanuntuk membantu institusi keuangan maupun para analis kredit.
Deteksi Malware menggunakan Metode Stacking berbasis Ensemble
Authors: Rafrastara Fauzi Adi , Supriyanto Catur , Paramita Cinantya , Astuti Yani Parti
Published: September 2023

Serangan malware kian hari kian memprihatinkan. Evolusi malware yang cepat dan semakin destruktif menimbulkan kekhawatiran bagi banyak pihak. Oleh karena itu, deteksi malware yang efektif sangat dibutuhkan. Data mining memainkan peran yang krusial dalam bidang ini, mengingat algoritma-algoritma yang ada pada data mining bisa dilatih hingga menghasilkan akurasi yang paling tinggi. Untuk mengklasifikasi suatu file, apakah tergolong malware atau tidak, dalam penelitian ini metode stacking digunakan karena dapat meningkatkan akurasi jika dibandingkan dengan algoritma-algoritma klasifikasi konvensional. Empat Algoritma dilibatkan dalam eksperimen yang dilakukan, yaitu: Neural Network, Random Forest, kNN, dan Logistic Regression. Tiga algoritma pertama digunakan sebagai classifier pada level 0, sementara itu Logistic Regression digunakan classifier pada level 1 (meta classifier).  Dengan kombinasi 4 algoritma tersebut, akurasi yang diperoleh adalah sebesar 98.7%, dan akurasi tersebut merupakan yang paling tinggi jika dibandingkan dengan masing-masing algoritma jika dieksekusi secara individual.
Klasifikasi Citra Virus SARS-COV Menggunakan Deep Learning
Authors: Susilawati Indah , Supatman Supatman , Witanti Arita
Published: September 2023

Various variants of the SARS-COV virus emerged from 2003 to early 2022. This resulted in a heavy burden on the health sector in carrying out its duties and public services. It would be very helpful if a computer-assisted application was available that could distinguish between the variants of the SARS-CoV virus. From a scientific point of view, this is an opportunity for information technology to play its role to classify SARS-COV variants using supporting algorithms, including the use of artificial intelligence. Artificial intelligence-based and computer-assisted processes are certainly more immune to negative effects due to repetitive works and fatigue. In this study, Classification of the SARS-COV Virus Image Using Deep Learning (CNN) was carried out based on microscopic data called Transmission Electron Microscopy (TEM) images. The aim of the research is to produce a neural network (CNN/Deep Learning) that has been trained to classify two types of variants of the SARS virus, namely SARS-COV and SARS-COV2. The research phase includes data collection, data pre-processing (consists of the image format conversion and enhancing process), and the classification stage. The classification is carried out using both of the original and enhanced image data. The highest classification accuracy was obtained when the original image data was used, namely 77.66%. It was also found that the classification accuracy increased with an increase in the input image size, but the image data enhancing process used was not able to increase the classification accuracy beyond the classification accuracy achieved when using the original image.
Sistem Pakar Diagnosis Penyakit Pada Ikan Bawal Bintang dengan Pendekatan Naive bayes
Authors: Aldo Dasril , Nur Yohani Setiya Rafika , Fathoni M. Yoka
Published: September 2023

The star pomfret is a type of cultivated fish that has high economic prospects. The focus of the main problem in this study is the disease that attacks the star pomfret fish commodity. If this is allowed to continue, it will cause crop failure and cause the fishermen to lose money. Through this research, an expert system is one solution that can overcome these problems. The expert system built will apply the Naive Bayes method with the stages of entering the dataset into the database which will be used as training data, then the user inputs testing data to be processed into the Bayes method, in the final result the probability value of each disease will be displayed which will then be given recommendations on how to control it disease. From the symptoms selected by the user, namely: white or pale spots on the surface of the body, bleeding on the surface of the body, protruding eyes, the fish looks difficult to breathe, mucus production increases until the body runs out of mucus / roughness, fish lose their appetite, slow movement and slow growth get disease results Cryptocaryon with a value of 93.4. The results of tests carried out on 17 data obtained an accuracy value of 94% so that the expert system is suitable for use as a tool for diagnosing disease in pomfret
Komparasi Metode Apriori dan FP-Growth Data Mining Untuk Mengetahui Pola Penjualan
Authors: Purwati Neni , Pedliyansah Yogi , Kurniawan Hendra , Karnila Sri , Herwanto Riko
Published: September 2023

Sales data is generally still rarely used, as well as the Perfume Corner shop just piling up in the database, even though there are problems experienced by the store regarding sales data for the best-selling products and to increase the number of sales of subsequent perfume products, so that the store can survive and develop even better. The algorithm that can be used to manage sales data to overcome this problem is Apriori. The research method used in this research is the KDD (Knowledge Discovery in Database) process. This research produces a high frequency pattern for itemsets with a minimum support value of 20% resulting in products that become The Most Tree Items namely Jo Malone 82.49%, Zarra 28.25%, and Zwitsal 20.34%. While the association rules formed from the value of Min. Supp 20% and Min. Conf 80%, get a combination of 2 itemsets, namely Jo Malone and Zarra. Whereas for the combination of 3 itemsets, namely Jo Malone, Zarra and Baccarte with valid and strong status, it is proven by a lift value greater than 1, therefore the association rules are very appropriate to be used.
Performance Improvement of Random Forest Algorithm for Malware Detection on Imbalanced Dataset using Random Under-Sampling Method
Authors: Rafrastara Fauzi Adi , Supriyanto Catur , Paramita Cinantya , Astuti Yani Parti , Ahmed Foez
Published: September 2023

Handling imbalanced dataset has their own challenge. Inappropriate step during the pre-processing phase with imbalanced data could bring the negative effect on prediction result. The accuracy score seems high, but actually there are many problems on recall and specificity side, considering that the produced predictions will be dominated by the majority class. In the case of malware detection, false negative value is very crucial since it can be fatal. Therefore, prediction errors, especially related to false negative, must be minimized. The first step that can be done to handle imbalanced dataset in this crucial condition is by balancing the data class. One of the popular methods to balance the data, called Random Under-Sampling (RUS). Random Forest is implemented to classify the file, whether it is considered as goodware or malware. Next, 3 evaluation metrics are used to evaluate the model by measuring the classification accuracy, recall and specificity. Lastly, the performance of Random Forest is compared with 3 other methods, namely kNN, Naïve Bayes and Logistic Regression. The result shows that Random Forest achieved the best performance among evaluated methods with the score of 98.1% for accuracy, 98.0% for recall, and 98.2% for specificity.
Pengenalan Alfabet SIBI Menggunakan Convolutional Neural Network sebagai Media Pembelajaran Bagi Masyarakat Umum
Authors: Fadhilah Zahrah , Marpaung Noveri Lysbetti
Published: September 2023

SIBI is one of the Sign Languages used in Indonesia and has been widely used in the community, especially the school (SLB). Communication limitations of the deaf and speech community cause limited communication with the general public, especially many general public who do not know Sign Language or SIBI. For this reason, this research was conducted in order to become a learning media for the general public in recognizing the SIBI alphabet so that it can support communication with the deaf and speech community. This research was conducted to become a medium that can be used as a learning medium in the introduction of the SIBI alphabet. The method used in this research is CNN. CNN is used because it is a deep learning method that has the most significant results in image recognition. The data used is 2,600 images which are divided into 80% training data and 20% validation data. Training was done ten times by comparing the parameters that produce the best accuracy. The parameters used are batch size and epoch. From ten trials, the best accuracy is obtained using batch size 8 and epoch 50. The best accuracy produced is 85% training accuracy and 87% validation accuracy.
Klasifikasi Jamur Berdasarkan Genus Dengan Menggunakan Metode CNN
Authors: Rahmadhani Ummi Sri , Marpaung Noveri Lysbetti
Published: September 2023

Mushrooms are plants that do not have true roots and leaves. There are many types of mushrooms that have been identified worldwide, with various shapes, sizes, and colors. Mushrooms have many benefits in the fields of economy, health, and others. One of the benefits of mushrooms is as a food source in Indonesia, but not all types can be consumed. To identify mushroom species, the concepts of Genus and species can be used. The concept of Genus is considered easier because it groups mushroom types based on similar morphological characteristics. Therefore, a model is needed to classify mushrooms based on consumable and toxic genera. The method used in this research is Convolution Neural Network (CNN) due to its good predictive results in image recognition. The model in the research utilizes three convolution layers, three MaxPooling layers, and two dropout layers. The use of dropout aims to reduce overfitting in the model. The research uses a dataset of 1200 images with a training and testing data ratio of 70:30, resulting in 840 training data and 360 testing data. The best accuracy achieved by this model is 89% for training and 82% for validation. Therefore, it can be concluded that the model is able to classify mushrooms based on Genus using the CNN method
RANCANG BANGUN SISTEM LAMPU MEJA MULTI-MODE DENGAN MENGGUNAKAN ESP32
Authors: Iqbal Alfarizi Muhammad , Saragih Yuliarman , Rahmadewi Reni
Published: September 2023

Advances in science and technology play a role in realizing a better human life. one of them is theadvancement of electronic technology that has been inherent in human life. Studying diligently is anobligation of a learner, not only to pursue an achievement, but learning also helps to be more focusedon doing something. However, not a few people easily experience fatigue in studying, one of which isfatigue in the eyes, this fatigue arises due to the lack of lighting in the room where we study. Lightingrequirements are regulated based on the decree of the minister of health No. 48 of 2016 regarding theamount of irradiation needed to be able to carry out activities effectively and SNI 6197: 2020 wherevarious kinds of activities and work carried out have the required lighting standards. In this study,looking for the set point value and the amount of lux needed to be accessible through the androidapplication, looking for the amount of pwm value needed for each % of the manual setting of thelamp, and looking for the size of the voltage input measured in each test.
KNOWLEDGE AND INDEPENDENCE IN THE CARE OF COMMUNITY DENTAL AND ORAL HEALTH TO TEACHERS AND PARENTS OF ELEMENTARY SCHOOL STUDENTS
Authors: Pinasti Restika , Febrina Agni , Parisihni Kristanti , Rochyani Linda , Nur Meinar , Nanik Chaterina Dyah , Victoria Onge , Ariestania Vivin , Razak Arifzan , Rizka Yoifah , Hermanto Eddy , Nafiah  , Wahjuningsih Endah
Published: September 2023

Dental and oral health in Indonesia is still a health problem that needs attention. Based on the Riskesdas 2018, it was reported that the prevalence of dental and oral problems in Indonesia is still very high. As many as 57.6 percent of Indonesians have dental and mouth problems. The most concerning thing is that as many as 93% of school-age children experience dental and mouth problems. This activity is intended as a comprehensive school program in Indonesia, which consists of a 21-day dental and oral health program for children at school. Implementation of the School Health Program uses an online system through the zoom application. The target participants are 5 parents and 5 teachers at SD Hangtuah 6 Surabaya. The location and time of implementation is Saturday, November 5 2022, 08.30 – 11.00 WIB by using a zoom meeting. The results of the statistical analysis used a paired sample t-test with a significance value of 0.000, this means that there is a significant difference in the level of knowledge of maintaining dental and oral health among teachers and parents of students at SD Hangtuah 6 before being given DHE material and after being given DHE through "Training of Trainers”. Teachers and parents can become pioneers in disseminating knowledge and how to maintain oral health for school-level children, as well as changing behavior in maintaining dental and oral health for the better.
EDUKASI PENGETAHUAN IBU TENTANG OPTIMALISASI PERKEMBANGAN DAN PENCEGAHAN STUNTING PADA IBU DENGAN ANAK BALITA DI KELURAHAN TAMBAK WEDI SURABAYA
Authors: Sulistiani Wiwik , Mustami'ah Dewi , Mahastuti Dewi
Published: September 2023

Kasus stunting di Indonesia perlu mendapat perhatian serius agar menciptakan generasi penerus yang sehat dan cerdas. Berbagai upaya dilakukan pemerintah untuk menanggulangi permasalahan ini termasuk di kota Surabaya. Fakultas Psikologi Universitas Hang Tuah, sebagai salah satu perguruan tinggi di Surabaya memiliki turut memiliki peran untuk membantu mengatasi persoalan ini. Upaya yang dilakukan salah satunya adalah melakukan kegiatan edukasi peningkatan pengetahuan ibu tentang optimalisasi perkembangan dan pencegahan stuting pada ibu dengan anak balita di kelurahan Tambak Wedi Surabaya. Kegiatan dilaksanakan di Balai RW 2 yang dihadiri 26 ibu. Hasil pemberian edukasi menunjukkan sebagian besar ibu menunjukkan adanya peningkatan pengetahuan tentang optimalisasi perkembangan anak. Hasil ini diharapkan dapat diterapkan dalam mengasuh dan membesarkan putra-putri mereka sehingga akan tercipta generasi muda yang sehat dan cerdas
ASSET ALLOCATION WITH DYNAMIC CONDITIONAL CORRELATIONS (DCC) MODEL: AN IMPLEMENTATION IN THE R PROGRAM
Authors: ILBASMİS Metin
Published: September 2023

This study demonstrates how to use the R programming language to estimate time varying volatility in
returns and correlations between several asset classes by employing a model called Dynamic Conditional
Correlations (DCC) and to form portfolios using those estimates. A number of user-written R commands
are presented in the study, designed for practitioners, academics, and students of nance interested in
active portfolio optimization. The study uses these commands to access nancial data, analyze statistical
characteristics of the data, estimate dynamic correlations, and nally compute the optimal weights of several
asset classes in portfolios optimized for a variety of purposes.
Reconstruction methods in ultrasound tomography for visualisation the temperature fluctuations in human tissue
Authors:   Kotelnikov IRE RAS, 125009, Russia, Moscow, Mokhovaya str., 11, b.7, Bograchev K.M.
Published: September 2023

Thermal therapy is an emerging non-invasive method used for cancer treatment. Implementation of this method requires non-invasive temperature monitoring during the treatment process and through-transmission ultrasonic tomography is a potential technique for such monitoring. The technique allows internal cross-sectional images of acoustic properties to be obtained. These properties change with temperature and the technique therefore allows the temperature field in the tissue to be measured non-invasively. The accuracy of this technique is significantly reduced, however, for regions of tissue which contain acoustically non-transparent objects such as medical devices or implants, because these cause missing parts in the projection data. The heated lesion itself may also distort ultrasonic rays. The present work considers and compares different methods of solving the inverse problem for ultrasonic tomographical reconstruction. A special method, which is a modification of the expectation maximization (EM) method for temperature distribution reconstruction from noisy projections with missing data, has been developed for through-transmission fan-beam tomography. The accuracy of the developed method was investigated by computer modeling and compared with the conventional EM method. It was shown that the developed method gives higher accuracy and less distortion after reconstruction than the conventional EM methods.
Der Appell des Anderen als regulative Idee des Hoffens
Authors: Schröder Christoph
Published: September 2023

The Appeal of the Other as a Regulative Idea of Hope. Critical Pedagogy Following Emmanuel Levinas

The article defines hope and understanding as anthropological and pedagogical topics. These topics are concretized in the relationship between the I and the Other. Postcolonial perspectives as well as the philosophy of Emmanuel Levinas are used to show that a moment of power and domination is inscribed in this relationship.
Pädagogik der Hoffnungslosigkeit
Authors: Behrens Roger
Published: September 2023

Pedagogy of Hopelessness. After the End of Utopia

The end of utopia, of which Herbert Marcuse speaks in 1967, means both: the illusory, because false, realization of the ›better life‹ in and as capitalism as well as – therefore – the suspension of a concrete utopia as a dream of a human world. As culture-industrial spectacles, utopian social ideas turn into dystopian visions of the future; social, even socialist fiction becomes mere science fiction. In a world of accumulated crises that threaten humanity, utopia is now missing. To learn to hope again would be – not only pedagogically – necessary the utopian project of ›delearning‹ hopelessness. There is no alternative.

utopia – critical pedagogy – principle of hope – critical theory – Herbert Marcuse
Impelementation of Local Tax Billing at The East Kalimantan BAPENDA
Authors: Faris Nabil Nurrahman , Fitriandi Primandita
Published: September 2023

This study aims to determine the guidelines for implementing tax collection and explain the flow of tax collection at the Regional Revenue Agency of East Kalimantan Province. In addition, this study seeks the implementation of tax collection carried out in Bapenda East Kalimantan and provides suggestions and alternatives that need to be considered. This research uses a qualitative approach with field research analysis studies. Data collection was carried out using literature method and interviews. Finding shows that the implementation of tax collection in Bapenda East Kalimantan is quite good with the issuance of Regional Tax Bills. However, the absence of a tax bailiff results in the absence of issuance of Forced Letters to taxpayers who have tax bills that have passed the time period. Determination of Regional Regulations related to tax collection and training of tax bailiffs to be considered by the East Kalimantan Provincial Government so that tax collection and tax revenue are maximized.
A review on application areas and surface geometry in superhydrophobic materials
Authors: AKINCI Serhat , KARAOMERLIOGLU Filiz , KAYGUSUZ Emre
Published: September 2023

Superhydrophobic surfaces offer many advantages beyond just being hydrophobic (water repellent) to the surface. The superhydrophobic property can be achieved by artificially creating geometric structures on the material surface. These geometric structures reduce the contact area between the liquid and the surface. The contact angle between the liquid and the surface gives rise to two conditions: hydrophobic and hydrophilic. If the contact angle between the surface and the liquid is above 90 degrees, a hydrophobic state occurs. If the angle is below 90 degrees, the surface is in a hydrophilic state. One of these two states is determined depending on the need and provides alternative solutions for many problems that currently await engineering interventions. Scientific studies in the field of superhydrophobia are increasing day by day. Interest in superhydrophobia is expected to grow further, as it offers environmentally friendly and economical solutions to ongoing challenges in various sectors. Superhydrophobic materials also offer a method of preventing icing due to their ability to prevent liquid retention on the material surface through their water repellent properties. Since the reduction of the contact area between the liquid and the material surface on superhydrophobic surfaces leads to a decrease in the friction factor, the friction of the flow on the material will also decrease. These properties of superhydrophobic materials generate interest in sectors such as aviation and marine. This study describes the properties of superhydrophobic surfaces created through various methods on materials, focusing on applications such as anti-icing and reduction of friction factor.
Application of a new fuzzy logic model known as "SMRGT" for estimating flow coefficient rate
Authors: GÜNAL Ayşe Yeter , MEHDİ Ruya
Published: September 2023

Since we all have our own set of limitations when it comes to perceiving the world and reasoning profoundly, we are constantly met with uncertainty as a result of a lack of information (lexical impression, incompleteness), as well as specific measurement inaccuracies. It has been found that uncertainty, which shows up as ambiguity, is the root cause of complexity, which is everywhere in the real world. Most of the uncertainty in civil engineering systems comes from the fact that the constraints (parameters) are hard to understand and are described in a vague way. The ambiguity comes from a number of sources, including physical arbitrariness, statistical uncertainty due to using limited information to estimate these characteristics, and model uncertainty due to using overly simplified methods and idealized depictions of actual performances. Thus, it is better to combine fuzzy set theory and fuzzy logic. Fuzzy logic is well-suited to modelling the indeterminacy and ambiguity that results from multiple factors and a lack of data. In order to improve upon a previous predictive model, this paper uses a smart model built on a fuzzy logic system (FLS). Precipitation, temperature, humidity, slope, and land use data were all taken into account as input variables in the fuzzy model. Toprak's original explanation of the simple membership function and fuzzy rules generation technique (SMRGT) was based on the fuzzy-Mamdani methodology and used the flow coefficient as its output. The model's results were compared to available data. The following factors were considered in the comparison: 1) The maximum, minimum, mean, standard deviation, skewness, variation, and correlation coefficients are the seven statistical parameters. 2) Four types of error criteria: Mean Absolute Relative Error (MARE), Mean Square Error (MSE), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE). 3) Scatter diagram.