Manajemen rantai pasok adalah suatu sistem pada suatu organisasi atau instansi yang menyalurkan barang produksi dan jasanya kepada para penggunanya. Supply Chain Management merujuk kepada jaringan yang rumit dari hubungan dimana organisasi mempertahankan dengan partner bisnis untuk memperoleh bahan baku, produksi dan menyampaikan kepada konsumen. Manajemen rantai pasok bagi Pondok Pesantren Darul Hijrah yang mengelola, mengatur dan menyimpan bahan baku stock beras, sangat membantu dalam pemenuhan kebutuhan beras, meningkatkan nilai pengelolaan bahan baku beras sehingga memberikan nilai positif bagi instansi atau perusahaan.  Berdasarkan penelitian dilakukan secara langsung ke lapangan dengan metode observasi serta mempelajari literature yang berhubungan dengan masalah yang dibahas, diharapkan sistem yang baru ini dapat meningkatkan kualitas informasi sehingga bermanfaat bagi instansi yang bersangkutan.

 This study aims to determine the implementation of restitution for diversion and the obstacles in seeking diversion at the three levels of the criminal justice process, investigation, prosecution, and examination in court. Restitution is a supporting factor in the success of the diversion process at different levels based on Government Regulation 43 of 2017 concerning the Implementation of Restitution for Children who are Victims of Criminal Acts. Children are supposed to be protected by the country, so this research is essential to ensure implementation of diversion should be prioritized in solving juvenile cases. This study used a normative juridical approach and had a novelty value because it examines the granting of restitution for diversion. From this research, restitution could be a way to get diversion and understand the obstacles in achieving it, such as economic constraints, unwilling parties to carry out diversion, and the limitations in several laws and regulations related to the implementation of diversion.Penelitian ini bertujuan untuk mengetahui bagaimana pelaksanaan restitusi sebagai langkah pelaksanaan diversi pada perkara pidana anak sehingga dapat mengetahui bagaimana dan apa saja kendala dalam pengupayaan diversi di tiga tahap penyelesaian perkara pidana yakni pada tingkat penyidikan, penuntutan, dan pemeriksaan di pengadilan. Restitusi menjadi hal penunjang dalam keberhasilan proses diversi di berbagai tahapan, hal ini berdasarkan pada Peraturan Pemerintah Nomor 43 Tahun 2017 tentang Pelaksanaan Restitusi bagi Anak yang menjadi Korban Tindak Pidana. Penelitian ini penting dilakukan karena anak adalah orang yang dilindungi oleh negara dan agar pelaksanaan diversi menjadi hal yang diutamakan pada penyelesaian perkara anak. Penelitian ini menggunakan metode pendekatan yuridis normatif. Penelitian ini memiliki nilai kebaruan karena mengkaji pemberian restitusi dalam pelaksanaan diversi. Dari penelitian ini maka dapat diketahui bahwa restitusi dapat menjadi sarana dalam keberhasilan diversi dan untuk mengetahui kendala yang ditemukan dalam pelaksanaan diversi seperti kendala ekonomi, ketidakmauan para pihak untuk melaksanakan diversi, hingga kendala yang ada dalam peraturan perundang-undangan terkait pelaksanaan diversi.  

This study aims to examine the authority of regional government agencies/officials in implementing Freies Ermessen in regional policies and the binding power of Freies Ermessen as legal provisions in the regions. The novelty of this research is to analyze the application of Freies Ermessen in regional policies. This study uses a normative juridical approach. The results of this study are the use of Freies Ermessen Government Officials to expedite government administration, fill legal voids, provide legal certainty, overcome government stagnation in certain circumstances for the benefit and public interest. In implementing the Freies Ermessen Decree as a legal policy in the region, UUAP government agencies/officials are prohibited from abusing authority, which includes prohibitions on exceeding authority, mixing authority and not acting arbitrarily so that discretionary policies have binding power as legal decisions.  Penelitian ini bertujuan untuk mengkaji mengenai kewenangan badan/pejabat pemerintahan daerah dalam penerapan Freies Ermessen dalam kebijakan di daerah serta kekuatan mengikat Freies Ermessen sebagai ketetapan hukum di daerah. Kebaharuan penelitian ini adalah untuk menganalisis penerapan Freies Ermessen dalam kebijakan di daerah. Penelitian ini menggunakan pendekatan yuridis normatif. Hasil penelitian ini adalah penggunaan Freies Ermessen Pejabat Pemerintahan diterapkan untuk melancarkan penyelenggaraan pemerintahan, mengisi kekosongan hukum, memberikan kepastian hukum, mengatasi stagnasi pemerintahan dalam keadaan tertentu guna kemanfaatan dan kepentingan umum. Dalam melaksanakan Keputusan Freies Ermessen sebagai kebijakan hukum di daerah, badan/pejabat pemerintahan UUAP dilarang menyalahgunakan wewenang, yang meliputi larangan melampaui wewenang, mencampuradukan wewenang dan dilarang bertindak sewenang-wenang agar kebijakan diskresi memiliki kekuatan mengikat sebagai keputusan hukum                                                                                                                                                        

This research aims to analyze the influence of machiavellianism, competency and motivation toward audit quality. This study uses a quantitative approach by using questionnaires that was distributed to 50 respondents to gather primary data. Respondents for this research are auditors at Badan Pengawasan Keuangan dan Pembangunan (BPKP) – Central Java Chapter. Research data was analyzed by using multiple linear regression analysis. The results show that (1) machiavellianism has negative effect on audit quality, (2) competence has positive effect on audit quality and (3) motivation has no effect on audit quality.

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.

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.

Android is an operating system with open source and consists of several layers, with the different layers its duties and responsibilities. Various parties in the customization chain such as device vendors such as Samsung, Xiaomi, Oppo, Huawei, and others, operators such as Telkomsel, Smartfren, XL, etc., and hardware manufacturers can customize one or more layers to adapt devices for different purposes, such as supporting specific hardware and providing different interfaces and services.
The purpose of this study was to investigate systematically for any inconsistencies that arose as a result of the processes involved in this study and to assess their various security implications. This research runs DroidDiff to perform a substantial-balance diverse investigation on images collected by the analytical methodology. DroidDiff found a lot of differences when it comes to the selected features. The method used in this study is the method of five differential analysis algorithms. As a result, by comparing the security configurations of similar figures, important security changes that could be accidentally introduced during customization can be found.
The results show that DroidDi? can be used by vendors to check the configuration of various security features in a given image. DroidDiff will extract those features from the image, and compare them to other image configuration sets, then DroidDiff will flag the inconsistent ones for further investigation by vendors who have the source code and tools to check their effect. For future work, improvements to DroidDi? to more accurately detect risky inconsistencies are highly recommended. Improving DroidDiff will help reduce the number of false positives and determine risky configurations more accurately.

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.

Peer-to-peer systems nowadays are widely used because of the scalability and high reliability. File replication and consistency maintenance are widely used techniques to achieve high system performance. These techniques are connected to each other. The connection of these techniques is consistency maintenance is needed in file replication to keep the consistency between a file and the replicas. Traditional file replication and consistency maintenance methods need a high cost. The usage of IRM (Integrated file Replication and Consistency Maintenance inP2P systems) which will achieve high efficiency at a significantly lower cost can be used to solve this problem. IRM reduces redundant file replicas, consistency maintenance overhead, and unnecessary file updates.

This study examines the relationship between requirements and framework development in Customer Engagement (CE). In this paper it is developed based on engagement theory with the assumption that satisfying relationships will be able to create emotional relationships so that colleagues will be involved and bound to each other. Based on theoretical studies, this paper proposes a framework that examines the components that exist in CE, antecedents. involved and the consequences of CE. To complete the study, we also discuss how the type of industry, company characteristics - Business to Business vs Business to Consumer - and value and level of involvement affect the satisfaction relationship, both direct and indirect contributions from the point of view of emotional involvement in Customer Engagement. Next, examine the development of Customer Engagement and how to maximize company performance by making appropriate strategic changes. The findings of this paper are the relationship between emotions and the indirect contribution of customers’ needs to be improved to the company's service industry with the B2B concept for products/services with a high level of involvement; Furthermore, it is also necessary to improve services for products or services with a high level of brand value and companies that provide a higher level of satisfaction.