The purpose of this study is to analyze the application of restorative justice in cyber crime, especially for victims of cyber crime. This research is a normative legal research with a concept and statutory approach. The results of the study confirm that the manifestation of protecting the rights of victims of restorative justice-based cyber crime can actually be carried out by providing assistance, facilitation, and compensation which are considered more relevant and essential to fulfilling victims' rights. This is considered more relevant when compared to the orientation to catch perpetrators of cyber crimes which tend to be more difficult and on the one hand are also not able to fulfill the rights of victims who are reduced as a result of a cyber crime. Therefore, restorative justice efforts that emphasize recovery and compensation for victims are relevant to efforts to ensure the protection of the rights of victims of cyber crime. The implementation of the protection of the rights of victims of restorative justice-based cyber crimes can be carried out by revising the ITE Law and its amendments by adding a restorative justice orientation as the first step to provide protection for the rights of victims of cyber crimes. Apart from that, revisions also need to be made to the PDP Law, especially in the absence of provisions for a time limit for the establishment of implementing regulations for compensation mechanisms. In addition to revising the PDP Law to provide a time limit for the formation of implementing regulations, the President can also immediately pass Government Regulations related to technical compensation for cyber crimes. Tujuan penelitian ini yaitu menganalisis penerapan keadilan restoratif dalam tindak pidana cyber khususnya bagi korban tindak pidana cyber. Penelitian ini merupakan penelitian hukum normatif dengan pendekatan konsep dan perundang-undangan. Analisis dilakukan secara kualitatif-preskriptif yang hasil akhirnya berupa solusi hukum atas isu hukum yang dikemukakan dalam penelitian ini. Hasil penelitian menegaskan bahwa manifestasi perlindungan hak korban tindak pidana cyber berbasis keadilan restoratif sejatinya dapat dilakukan dengan memberikan pendampingan, fasilitasi, serta ganti rugi dianggap lebih relevan dan esensial untuk memenuhi hak-hak korban. Hal ini dianggap lebih relevan jika dibandingkan dengan orientasi untuk menangkap pelaku tindak pidana cyber yang cenderung lebih sulit serta di satu sisi juga tidak secara substantif dapat memenuhi hak-hak korban yang tereduksi akibat suatu tindak pidana cyber. Oleh karena itu, upaya keadilan restoratif yang menekankan pemulihan dang anti rugi bagi korban relevan dengan upaya untuk menjamin perlindungan hak korban tindak pidana cyber. Implementasi perlindungan hak korban tindak pidana cyber berbasis keadilan restoratif dapat dilakukan dengan melakukan revisi atas UU ITE beserta perubahannya dengan menambahkan orientasi keadilan restoratif sebagai langkah awal untuk memberikan perlindungan hak korban tindak pidana cyber. Selain itu, revisi juga perlu dilakukan pada UU PDP, khususnya dengan tidak terdapatnya ketentuan limitasi waktu dibentuknya peraturan pelaksana mekanisme ganti rugi. Selain merevisi UU PDP untuk memberikan limitasi waktu dibentuknya peraturan pelaksana, Presiden juga dapat secepatnya mengesahkan Peraturan Pemerintah yang berkaitan dengan teknis pemberian ganti rugi atas tindak pidana cyber.    

This study aims at analyzing the existence of Constitutional Court Ruling No. 91/PUU-XVIII/2020 (Job Creation MK Decision) after Law No. 6 of 2023 concerning Job Creation. This research is a normative legal research by prioritizing case approaches, concepts, and legislation. The results of the study confirmed that the existence of the Job Creation MK Decision after the passage of the Job Creation Law was as if the Job Creation MK Decision was between "there and not". It is said that there is because it is used as a juridical basis in the Job Creation Law, however substantively the Decision of the Job Creation MK, especially the constitutional order to substantively improve the Job Creation Law by involving meaningful community participation, has not been implemented. Because, the government (in this case the President) actually uses the Job Creation Law instrument which substantively denies the Job Creation MK Decision. The legal implications of the Job Creation MK Decision after the Job Creation Law was passed is that the Job Creation Law has actually violated the substance of the Job Creation MK Decision. It can be seen that the Job Creation MK Decision orients the reformulation of the Job Creation Law through meaningful participation involving all components of society. The existence of disobedience to the Job Creation Law against the Decision of the Job Creation MK has the potential to cause a phenomenon of disregard for the constitution (constitutional disobedience). Therefore, in the future it is necessary to formulate the forms and types of sanctions against the Constitutional Court's Decision and also be oriented to the Constitutional Court being able to review a Law or UU that contradicts the Constitutional Court's Decision. Penelitian ini bertujuan pada analisis atas eksistensi Putusan Mahkamah Konstitusi No. 91/PUU-XVIII/2020 (Putusan MK Cipta Kerja) pasca disahkannya UU No. 6 Tahun 2023 tentang Cipta Kerja. Penelitian ini merupakan penelitian hukum normatif dengan mengedepankan pendekatan kasus, konsep, dan perundang-undangan. Hasil penelitian menegaskan bahwa eksistensi Putusan MK Cipta Kerja pasca disahkannya UU Cipta Kerja seolah-olah Putusan MK Cipta Kerja adalah antara “ada dan tiada”. Dikatakan ada karena dijadikan landasan yuridis dalam UU Cipta Kerja akan tetapi secara substantif Putusan MK Cipta Kerja khususnya perintah konstitusional untuk memperbaiki UU Cipta Kerja secara substantif dengan melibatkan partisipasi masyarakat secara bermakna, justru tidak dilaksanakan. Pemerintah (dalam hal ini Presiden) justru menggunakan instrumen UU Cipta Kerja yang secara substantif mengingkari Putusan MK Cipta Kerja. Implikasi hukum Putusan MK Cipta Kerja pasca disahkannya UU Cipta Kerja adalah bahwa UU Cipta Kerja sejatinya telah melanggar substansi dari Putusan MK Cipta Kerja. Hal ini dapat dilihat bahwa Putusan MK Cipta Kerja mengorientasikan perumusan ulang UU Cipta Kerja melalui partisipasi yang bermakna dengan melibatkan segenap komponen masyarakat. Adanya ketidaktaatan UU Cipta Kerja terhadap Putusan MK Cipta Kerja berpotensi membuat adanya fenomena pengabaian terhadap konstitusi (constitutional disobedience). Oleh karena itu, ke depan perlu diformulasikan bentuk dan jenis sanksi terhadap Putusan MK serta diorientasikan pula MK dapat melakukan pengujian terhadap suatu undang-undang atau UU yang bertentangan dengan Putusan MK.   

This The speed of information, the accuracy of data, the ease of information services, and accountability are very important reasons for the implementation of the system. Semarang University (USM) is a private university in Semarang that has the most 2 students in Central Java. Based on the 2019 USM tracer data showing horizontal alignment, namely how close the relationship between the field of study and alumni work is, it appears that there is still a discrepancy in the ability of graduates with stakeholders.  The Apriori algorithm is the best-known algorithm for finding high-frequency patterns  Rules that state associations between attributes are often called affinity analysis or market basket analysis. The use of the Apriori Algorithm in data mining calculations using data from the Semarang University tracer that the limit of the minimum support is 50% and the minimum confidence is 100% so that it forms 4 rules. From the four rules produced that modeling using the Apriori Algorithm can produce several rule formations so that it can provide an evaluation to the University for compiling steps, this can be seen because the resulting rules are different because each graduate relationship with the desired desires and different styles.
 

This The speed of information, the accuracy of data, the ease of information services, and accountability are very important reasons for the implementation of the system. Semarang University (USM) is a private university in Semarang that has the most 2 students in Central Java. Based on the 2019 USM tracer data showing horizontal alignment, namely how close the relationship between the field of study and alumni work is, it appears that there is still a discrepancy in the ability of graduates with stakeholders.  The Apriori algorithm is the best-known algorithm for finding high-frequency patterns  Rules that state associations between attributes are often called affinity analysis or market basket analysis. The use of the Apriori Algorithm in data mining calculations using data from the Semarang University tracer that the limit of the minimum support is 50% and the minimum confidence is 100% so that it forms 4 rules. From the four rules produced that modeling using the Apriori Algorithm can produce several rule formations so that it can provide an evaluation to the University for compiling steps, this can be seen because the resulting rules are different because each graduate relationship with the desired desires and different styles.
 

Jambi Province is one of the provinces with the largest number of Palm Oil Mills in Indonesia. The large number of PKS that exist and the number of customers that are not too many make each PKS must be able to maintain its relationship so that sales do not decrease. The existence of intense competition and the need to maintain relationships is the phenomenon behind this research so that the purpose of this research is to analyze the effect of Relationship Marketing Inputs on customer loyalty at PT. Sucofindo Jambi This research was conducted using a questionnaire method on 65 customers of PT. Sucofindo Jambi The data analysis method used is quantitative analysis, namely analyzing through statistical calculations with the help of the SPSS version 19.0 program. The results of data analysis show that understanding customer expectations, building service partnership and total quality management have a positive and significant effect on customer loyalty of PT. Sucofindo Jambi. while the empowering employees variable has no effect and is not significant on customer loyalty of PT. Sucofindo Jambi.
 

The success or failure of an organization in achieving its predetermined goals is highly dependent on the ability of its human resources (employees) to carry out the tasks or work assigned to them. This study aims to determine the effect of recruitment and work placement on employee productivity at PT. Dewasutratex Cimahi. The data processing method is carried out using a saturated sampling approach, namely the sampling method in which the entire population is used as a research sample totaling 46 employees. Data analysis was carried out using validity and reliability tests, normality tests, classic assumption tests, simple linear regression tests, determination tests, F tests and T tests. Based on the results of the study, it can be concluded that Recruitment and Job Placement partially have a significant effect on Work Productivity at PT. Dewasutratex Cimahi. The effect of recruitment on work productivity is 83.6% and the remaining 16.4 is influenced by other variables outside the research. While the effect of placement on work productivity is 87.6% and the remaining 12.4 is influenced by other variables.

The most important part in software engineering is a software defect prediction. Software defect prediction is defined as a software prediction process from errors, failures, and system errors. Machine learning methods are used by researchers to predict software defects including estimation, association, classification, clustering, and datasets analysis. Datasets of NASA Metrics Data Program (NASA MDP) is one of the metric software that researchers use to predict software defects. NASA MDP datasets contain unbalanced classes and high dimensional data, so they will affect the classification evaluation results to be low. In this research, data with unbalanced classes will be solved by the AdaCost method and high dimensional data will be handled with the Average Weight Information Gain (AWEIG) method, while the classification method that will be used is the Naïve Bayes algorithm. The proposed method is named AWEIG + AdaCost Bayesian. In this experiment, the AWEIG + AdaCost Bayesian algorithm is compared to the Naïve Bayesian algorithm. The results showed the mean of Area Under the Curve (AUC) algorithm AWEIG + AdaCost Bayesian yields better than just a Naïve Bayes algorithm with respectively mean of AUC values are 0.752 and 0.696.

In conducting research, using descriptive methods, where the sources and types of data used are quantitative data and qualitative data. The research design used by the author is a primary data research design and a secondary data research design. The data collection technique used is a field research technique which includes interviews and observations, while a library research technique includes data collection techniques by studying, reviewing and understanding existing data sources. in several books related to the research.
In the presentation of the raw material inventory report still using manual recording using inventory cards and Microsoft Office Excel 2003 software, then the new information system will be used to create a system that includes making DFD, ERD, Normalization, context diagrams and physical design, namely output design and databases.
From the results of the study, it can be concluded that the existing system in CV. Adi Sejahtera Bandung there are several weaknesses, the system for recording transactions in and out of raw materials that is run manually is still not efficient, the occurrence of errors and the slow sales process is due to the slowness in receiving information on goods at this company. The author suggests using a computerized raw material inventory information system to help management control inventory transactions by improving the information structure in reports and making standardized reports to make work efficient and effective.

Tujuan dari Kegiatan Pelatihan dan Pertunjukan Tari Minangkabau bagi Mahasiswi Bersuku Jawa adalah untuk mengenalkan budaya Minangkabau kepada mahasiswi yang beretnis Jawa sehingga bisa meningkatkan toleransi terhadap budaya lokal lain. Kegiatan pengabdian kepada masyarakat ini awalnya diikuti oleh Sembilan orang mahasiswi yang kemudian berkurang menjadi lima orang, dan pada akhirnya diikuti oleh tujuh orang mahasiswi Sekolah Tinggi Agama Islam (STAI) Al-Akbar Surabaya. Adapun alasan pemilihan topik ini adalah untuk mengurangi narsisme terhadap budaya leluhur yang sering terjadi akhir-akhir ini dimana budaya lain dipandang sebelah mata dan dianggap tidak lebih baik dari budaya lokal sendiri. Metode yang digunakan dalam kegiatan ini adalah penyampaian materi, demonstrasi, praktik, evaluasi dan diskusi, serta pertunjukan. Hasil dari kegiatan ini adalah peningkatan dalam hal motivasi diri, kepemimpinan, kepedulian, kesadaran bertoleransi, Kesehatan, kepercayaan diri, konsentrasi, sosialisasi, dan peneriman terhadap kesalahan sendiri maupun orang lain. Kesimpulannya, kegiatan ini memiliki pengaruh yang positif terhadap penghargaan terhadap budaya lain dan meningkatkan kesadaran terhadap keberadaan budaya lain.

During the screening of new students, each state and private institution is required to carry out promotion in order to obtain the number of students according to the predetermined target. Problems that often occur when determining the location of promotion, the New Student Admission Team (PMB) determine the location of promotions randomly without considering several factors that can affect the number of students who will join. This is often done mainly by private university such as Semarang University (USM). To overcome this, a system is needed to provide information for the New Student Admission Team (PMB) in making decisions on the location of USM promotions. This system applies the Additive Ratio Assessment (ARAS) method and criteria that can affect the number of students who will later register because the determination of the location of the promotion is right on target. Criteria and weights include: Distance (cost) with a weight of 30%, number of students (benefit) with a weight of 40%, school status (benefit) with a weight of 20%, and a source of information (benefit) with a weight of 10%. The programming language used by PHP and data bases uses MySQL. The final result of this study is a decision support system that can provide information to the PMB team about the location of the school that has the potential for USM promotion.