Latar Belakang: Dua komponen utama pada analisismalware adalah analisis malware statis yang melibatkan pemeriksaan struktur dasar malware yang dapat dieksekusi tanpa mengeksekusinya sedangkan analisis malware dinamis bergantung pada pemeriksaan perilaku malware setelah menjalankannya di lingkungan yang terkendali. Analisis malware statis biasanya dilakukan oleh perangkat lunak anti-malware modern dengan menggunakan analisis berbasis tanda tangan atau analisis berbasis heuristik. Tujuan Utama: Tujuan dari penelitian ini adalah megusulkan dan mengevaluasi deep neural network untuk menganalisis file portabel secara statis guna mempelajari fitur-fitur dari portable executable malware untuk meminimalkan terjadinya false positive saat mengenali malware baru. Metode penelitian: Model yang diusulkan dalam penelitian ini adalah model Neural Network with Dropout terhadap model pohon keputusan untuk memeriksa seberapa baik kinerjanya dalam mendeteksi file PE berbahaya yang sebenarnya. Metode format-agnostik digunakan untuk mengekstrak fitur dari file. Dataset digunakan untuk melatih model yang diusulkan dan membandingkan hasil dengan dataset malware lain yang diketahui. hasil:  Hasil dari penelitian ini menunjukkan bahwa penggunaan jaringan saraf dalam yang sederhana untuk mempelajari fitur PE vektor tidak hanya efektif, tetapi juga kurang intensif sumber daya dibandingkan dengan metode deteksi heuristik konvensional. kesimpulan:  Model yang diusulkan dalma penelitian ini mencapai AUC sebesar 99,8% dengan 98% true positive pada 1% false positive pada kurva ROC. Untuk menunjukkan bahwa model ini berpotensi melengkapi atau menggantikan perangkat lunak anti-malware konvensional maka untuk penelitian dimasa depan diusulkan untuk mengimplementasikan model ini secara praktis

UPTD Puskesmas Cepiring yang terletak di Desa Cepiring Kec. Cepiring, yaitu di Jl. St. No. 9 Duwet-Cepiring. Letak UPTD Puskesmas Cepiring sangat strategis karena mudah dijangkau dari berbagai arah. UPTD Puskesmas Cepiring ini masih menggunakan cara konvensional, dengan mencatat pada buku dan Microsot Excel didalam menjalankan sistem keuangannya terutama dalam Laporan Keuangan sehingga sering mengalami masalah seperti ketidakcocokan antara pemasukan kas dan pengeluaran kas.
Sistem pelaporan UPTD Puskesmas Cepiring meliputi pencatatan pendapatan, pencatatan biaya, dan penyajian laporan keuangan, untuk itu sebagai suatu instansi yang sedang berkembang UPTD Puskesmas Cepiring membutuhkan perkembangan teknologi informasi untuk mencapai kualitas yang lebih baik. Kepala bidang keuangan yang selama ini masih menggunakan format penulisan konvensional tersebut, beberapa permasalahan yang masih sering muncul adalah dalam penyusunan laporan keuangan atau laba/rugi disebabkan terjadinya human eror, karena pencatatan juga terkadang dilakukan seadanya. Selain itu belum adanya suatu sistem informasi akuntansi keuangan yang memenuhi pada bagian Keuangan sehingga sering mengalami beberapa permasalahan yang berkaitan dengan pengelolaan data keuangan

Financial management is an administrative activity related to budget planning, storing, using, recording and monitoring the entry and exit of money or organizational funds.
Inventory analysis is an activity to examine an asset issue that includes goods. Turn over inventory is the ratio between the total cost of goods sold and the average value of inventory owned by the company. in the process of managing finances and inventories, it is still carried out using a recording system in a ledger, so it is less effective. Therefore the author will develop a form of information system by selecting CV. Arris AC as research object.
Based on the problems that occur in CV. Arris AC, the authors provide a solution that can overcome weaknesses by creating an Accounting Information System for Financial Management and Inventory Analysis using the inventory turnover ratio method which can be accessed via the web.
In other words, this ratio describes how fast inventory rotates.
web is an application that contains multimedia documents (text, images, sound, animation, video) in it that uses the HTTP protocol with database support for MySQL, Xampp and Adobe Dreamweaver CS6..
 
Keywords:Accounting, Financial Management,
Inventory Analysis, Ratio, Web

Cost of goods manufactured (COGM) is an important component of making a product, because knowing the COGM of a product can be used as a reference to determine the profit margin of a product. Without knowing the COGM of a product, we will be confused in determining the selling price. The COGM calculation is very influential for the sale of a product whether the product is experiencing a profit or loss.
This study aims to determine the COGM calculations that have been carried out by MSMEs are in accordance with COGM accounting calculations or are still only limited to manual calculations. In addition, the main objective of this study is to design an accounting system for determining COGM in the Tempe Chips Industry in determining the cost of production and to apply a variable costing method to determine the cost of goods manufactured in SMEs so that the correct cost of production can be presented.
The results of this study indicate that based on Cost of goods manufactured calculations carried out by MSME actors it is still very low so it is necessary to revamp the HPP calculations in accordance with accounting standards. Based on the evaluation of the old system, the author wishes to offer a new system, namely the Information System for Determining the Cost of Production of Tempe Chips SMEs which is expected to be an alternative in solving problems that are being faced by business owners. This new system makes it easy for users related to the process of recording data into the database, so that related parties can easily operate.
 

Credit Card (CC) scam In financial markets is a growing nuisance. CC scams increasing rapidly and causing large amounts of financial losses for organizations, governments, and public institutions, especially now that all payment methods for e-commerce shopping can be done much more easily through digital payment methods. For this reason, the purpose of this study is to detect scam CC transactions from a given dataset by performing a predictive investigation on the CC transaction dataset using machine learning techniques. The method used is a predictive model approach, namely logistic regression models (LR-M), random forests (RF), and XGBoost combined along particular resampling techniques that have been practiced to anticipate scams and the authenticity of CC transactions. Model performance was calculated grounded Re-call Curve (RC), precision, f1-score, PR, and ROC.
The experimental results show that the random forest in combination with the hybrid resampling approach of SMOTE and removal of Tomek Links works better than other models. The random forest model and XGBoost accomplished are preferred over the LR-M as long as their global  f1 score is without re-sampling. This demonstrates the strength of one technique that can provide greater achievement alike in the existence of class inequality dilemmas. Each approach, at the same time when used with Ran-Under, will give a great memory score but fails cursedly in the language of accuracy. Compared to the coordinate model sine re-sampling, the accuracy and RS are not repaired in cases where Tomek linker displacement was used. RF and xgboost perform quite well in terms of f1-S when Ran-Over is used. SMOTE increases the random forest draw score and xgboost but the precision score (PS) decreases slightly.
Completely, during a hybrid solution of Tomek delinker and SMOTE was practiced with random forest, it gave equitable attention and RS in the PR-AUC. XGboost failed to increase the PS even though the same re-sampling technique was used. For future research, a fee-delicate study method can be applied as long as fee misclassifications. So for future research, it is very necessary to consider this behavior change and it is also very important to develop predictive models. In addition to this, much larger data is needed so that detailed studies on handling non-stationary properties in CC scam detection can be carried out better.

This paper aims to investigate how the effect of Assets Structure and Firm Size on Firm Value Mediated by Capital Structure in Non-Financial Sector Companies Listed on the Indonesia Stock Exchange period 2013-2021. The research method used in this research quantitative An empirical research was conducted with  a quantitative approach using panel regression OLS to estimates the dirrect effect and Partial Least Squares Structural Equation Modeling (PLS-SEM) to estimates indirect effect, by using STATA statistical software. sample selection using purposive sampling and found a sample of 180 companies. From the analysis it was found that capital structure and asset structure have no effect on firm value, Firm size has a negative significant on firm value , asset structure has a negative significant on capital structure, firm size has a positive significant  effect on capital structure. In addition, capital structure is able to mediate the relationship between asset structure and firm size on firm value. Empirical studies conducted usually only look at the direct effect of the independent variable on the dependent variable, but in this study examines the direct and indirect effects of the independent variables on the dependent variable. In addition, this study does not only use samples from 1 company sector, but using all non-financial sectors companies listed on the Indonesia Stock Exchange

Schools are formal government-owned or private institutions engaged in education, which are held for the community and aim to educate knowledge, self-development, skills and abilities. SMP Negeri 04 Cepiring is the first level educational institution that was established in 1998. So far, school inventory data processing has used MS. Word and MS Excel however, the process takes a long time so it is less effective and efficient. SMP Negeri 04 Cepiring requires an inventory data processing management information system to solve this problem. Inventory data processing information system was built using Enterprise Architecture Planning and using BDMS MySQL as database. The resulting inventory data processing management information system can perform data processing such as entry and exit data, data destruction, mutation or changes that are more accurate.

Skripsi merupakan mata kuliah wajib bagi mahasiswa akhir semester sebagai salah satu syarat kelulusan. Dalam penyelesaian skripsi masih ditemui kendala yang ada maka penelitian ini bertujuan untuk mengalisis faktor apa sajakah yang  mempengaruhi penyelesaian skripsi mahasiswa Program Sarjana pada STMIK Widya Pratama Pekalongan dengan Variabel Bebas meliputi Faktor Internal, Faktor Eksternal, Motivasi lulus tepat waktu sebagai varibael Intervening dan variabel Penyelesaian Skripsi sebagai variabel tergantungnya. Metode Pengumpulan data dengan menggunakan  kuesioner dan analisis data menggunakan SPSS untuk menguji validitas, reliabilitas dan normalitasnya, selanjutnya akan dianalisis secara deskriptif dan analisis regresi linier bergandanya. Analisis Substruktur 1 diperolah hasil Uji F  dengan nilai signifikan 0,000 < 0,05  maka secara simultan faktor internal dan eksternal berpengaruh terhadap motivasi lulus tepat waktu. Adapun hasil uji secara parsial uji tX1 nilai signifikan 0,002 < 0,05 dinyatakan signifikan, maka secara parsial terdapat pengaruh faktor internal (X1) terhadap motivasi lulus tepat waktu. Uji tX2  nilai signifikan 0,067 > 0,05 (tidak signifikan), sehingga secara parsial tidak terdapat pengaruh eksternal (X2) terhadap motivasi lulus tepat waktu. Analisis Substrukur 2 dengan hasil Uji F diperoleh  nilai signifikan 0,000 < 0,05 menunjukkan, faktor internal, faktor eksternal dan motivasi lulus tepat waktu secara simultan berpengaruh terhadap penyelesaian skripsi, sedangkan uji t diperoleh  hasil  uji tX1 nilai signifikan 0,000 < 0,05 (signifikan),maka secara parsial faktor internal berpengaruh terhadap penyelesaian skripsi, uji tX2 didapat nilai signifikan 0,296 > 0,05 ( tidak signifikan), secara parsial faktor eksternal tidak berpengaruh terhadap penyelesaian skripsi dan Uji tY1 didapat nilai signifikan 0,000 < 0,05 (signifikan),  secara parsial motivasi lulus tepat waktu berpengaruh terhadap penyelesaian skripsi. Untuk uji intervening diperoleh 0,307 (beta1) * 0,393 (beta2)  < 0,322 (beta3) maka motivasi lulus tepat waktu (Y2) bukan sebagai variabel intervening dan 0,174 (beta1) * 0,393 (beta2)  < 0,086 (beta3) maka motivasi lulus tepat waktu (Y2) bukan sebagai variabel intervening, sehingga variabel motivasi lulus tepat waktu lebih sesuai sebagai variabel bebas.
 
Kata kunci: kesulitan penyelesaian skripsi, motivasi lulus tepat waktu, intervening

This study aims to determine the effect of service delivery and digitization on customer satisfaction at PT ISS Indonesia. The population in this study are consumers who use the services of PT ISS Indonesia for cleaning services, security services, pest control and other services. The sampling technique used non-probability sampling taken as many as 95 respondents. The data obtained through the questionnaire was quantified using a Likert scale of 1-5 with a choice rating of strongly agree to strongly disagree to be tested for validity and reliability. Data analysis method using Multiple Linear Regression. The results showed that partially and simultaneously service delivery and digitization variables had a positive effect on customer satisfaction

The Republic of Indonesia Employee Cooperative Center in Kendal Regency is a civil servant cooperative center in Kendal Regency which provides savings and loan services for its members.So far, the Indonesian Civil Servant Cooperative, Kendal Regency, does not yet have a special information system in managing finances, making financial reports and financial analysis activities. This causes the performance of cooperative employees to be slow, difficulties in finding customer data, loss of transaction data and presentation of information and analysis of cooperative financial statements takes a long time.With the implementation of an accounting information system for analyzing financial statements at the Indonesian Employee Cooperative, Kendal Regency using the financial ratio analysis method, it will be able to assist in managing finances in a database that is able to produce financial reports and analyze th