Offline and online business developments continue to develop in the midst of the covid-19 outbreak that continues to hit, some are unable to adapt so that their business goes bankrupt and some are able to survive and also grow, for that the MSMEs (Micro Small and Medium Enterprises) sales information system of Karya Anak Papua must be able to understand the existing situation because technological developments continue to develop in every business sector. This situation has an impact on the local community, especially the local Papuan community, who with improvised conditions and minimal business strategies try to survive in any way so that their daily needs can be met, some have started to pick up technology by starting to market their work online, but some have also started to pick up technology by starting to market their work online. which have not been. The role of MSMEs (Micro Small and Medium Enterprises) for the country's economy is very important and strategic. This is supported by data on MSMEs (Micro Small and Medium Enterprises) macroeconomic indicators which are quite dominant in the Indonesian economy. In accordance with the economic development of the regions in Indonesia, there are many obstacles faced by the local government in developing MSMEs originating from internal and external. the best policy in developing MSMEs. This study wants to examine the development of MSMEs (Micro Small and Medium Enterprises) leading commodities in Nabire Regency.

<p>Good local government performance, especially related to the realization of good corporate governance, can be created if there is good communication between agencies, employees and compact collaboration to synergize policies that facilitate public services. To optimize government performance, one of which is the Boyolali District Archives and Library Service through collaborative relationships between employees so as to create intense two-way communication. This study aims to identify social networks related to collaboration between employees using the Social Network Analysis method and a total of 40 people as respondents, but only 32 people filled out the questionnaire data completely. The indicators used in viewing the research results are density values, degree centrality values, closeness centrality values, betweenness centrality values, and clique values. The results of the analysis obtained a network density level of 14.8% (considered weak because it is less than 50 percent). Employee number 21 has the highest degree centrality value and betweenness centrality value, then employee number 9 has the highest closeness centrality. This research concludes that there is a good collaborative relationship between the four departments in the Archives and Library Office of Boyolali Regency, namely the Operations department, the Service department, the Archives department, and the Librarian department.  </p>

Untuk meningkatkan kualitas jaringan dan membatasi ancaman keamanan pada suatu jaringan komputer, maka diperlukan alat keamanan jaringan yang berkualitas, tepat dan baik. Penelitian ini membahas simulasi penggunaan extended ACL pada jaringan VLAN menggunakan aplikasi Cisco Packet Tracer pada jaringan komputer. Tujuannya adalah agar dapat mengontrol setiap layanan hak akses pengguna jaringan sehingga diketahui pola serangan dan pencegahannya. Ada enam tahap yang dilakukan pada penelitian ini yaitu analisa jaringan, desain jaringan, pengembangan jaringan, konfigurasi jaringan, pengujian jaringan dan analisa hasil pengujian. Hasil dari konfigurasi extended ACL yang telah dilakukan dapat digunakan untuk mengetahui dan mengatasi adanya spam dengan cara membatasi hak akses dari jaringan VLAN maupun jaringan access point yang telah digunakan. Extended ACL yang dikonfigurasikan dapat membantu router secara tepat dalam membatasi hak akses pada setiap jaringan VLAN maupun jaringan access point dalam menentukan alamat network mana saja yang dapat saling terhubung dan berkomunikasi untuk dapat mengakses FTP server maupun web server.

Universitas Ilmu Komputer dan Teknologi (STEKOM University) telah menggunakan Learning Management System (LMS) sejak tahun 2018, namun hingga saat ini pengukuran kinerja Learning Management System (LMS) belum dilakukan. Penelitian ini bertujuan untuk mengukur tingkat kematangan Learning Management System (LMS) dengan menggunakan Framework COBIT 4.1 pada domain Delivery and Support (DS) dan Monitoring and Evaluation (ME). Nilai tingkat kematangan pada kondisi eksisting berada pada level rata-rata 2, sedangkan kondisi yang ingin dicapai berada pada level rata-rata 3. Untuk mencapai level yang diharapkan, saran perbaikan mengacu pada Kerangka COBIT 4.1 perlu yang akan diberikan antara lain: pembuatan SOP (Standar Operasional dan Prosedur) LMS, kelengkapan isi LMS, tertib administrasi dokumentasi arsip penting, realisasi pelatihan LMS bagi dosen, alokasi biaya pemeliharaan dan pengujian sistem, penerapan reward and punishment, pembuatan dan penggunaan framework dan E governance - Pembelajaran dan semuanya dilakukan secara rutin minimal setiap 6 bulan sekali.

The Salatiga City Government has launched an electronic market levy (market e-retribution) which is implemented by the Salatiga City Trade Office. Market e-retribution is an electronic market retribution management system innovation to improve the quality of services that are transparent and accountable, minimize revenue leakage and illegal levies, as well as orderly irregularities in market retribution for compulsory levies. Market e-retribution is included in the regional non-cash transaction implementation agenda in the City of Salatiga. The application of new market e-retribution innovations was carried out in two traditional markets, namely Blauran I Market and Pasar Raya I as a pilot project before being implemented in other traditional markets. This article is a qualitative research with a descriptive approach. This article will focus on discussing the innovation of market e-retribution in the City of Salatiga.

The case of drop out at the Weleri STEKOM is often done by the campus. Drop out is a problem that is often done by Weleri STEKOM students because of a GPA of less than 2, Number of organizations followed, Tuition not paid for students and student who have exceeded the limit of 14 semesters. This study discusses predicting drop out students with C4.5 and ID3 decision tree methods that are useful to assist the campus in anticipating student dropouts. This study uses student data as many as 1087 students. Student data is divided into training data and testing data in order to obtain a model or rule in predicting DO students. Variable of this reseach contain V1(GPA) and then V2 (Distance beetween home and campus), V3(how long the lecture has been done), V4(Having a Job), V5(Family) and V6(school fee). This   research  The results of this study obtained 18 rules or rules for ID3 algorithm and 8 rules for C4.5 algorithm. The algorithm ID3 test results obtained an average of 95.17%, precision of 94.7% and recall of 96.18%, while for Decision Tree C 4.5 obtained an average of 96.45%, precision of 96.90% and recall of 95.38. This research prove that Decision using C4.5 is better for prediction of drop out students at STEKOM.

Kecamatan Bandungan dan Sumonowo merupakan wilayah di Kabupaten Semarang yang ditetapkan sebagai kawasan Agropolitan. Dalam beberapa survei dan penelitian di kawasan yang memiliki kesamaan administratif dan geografis tersebut menunjukan tren perubahan produktifitas pertanian akibat pembangunan. Pendekatan sistem informasi geografis digunakan dalam penelitian ini dengan alasan untuk bisa menganalisis objek spasial secara menyeluruh pada kawasan terkait. Penelitian ini berusaha memetakan penataan ruang secara objektif dengan metode Artificial Neural Network. Dimana hubungan antar objek spasial dikalkulasikan potensi perubahannya pada dua data spasial yang berbeda   tempo. Hasilnya didapatkan bahwa simulasi objektif dengan metode ANN terhadap data spasial hasil klasifikasi menggunakan metode minimum distance diperoleh min validation error 0,0656. Hasil validasinya juga cukup baik, yaitu memperoleh prosentasi kebenaran 85,3% dan index kappa 0.80. Peta simulasi dihasilkan sampai pada tempo 2021. Dari peta simulasi didapatkan pengetahuan bahwa sistem pertanian terbuka akan terus mengalami pertumbuhan luasan secara positif dengan kisaran 0,015%. Adapun sistem pertanian tertutup akan terus mengalami penyusutan luasan pada kisaran 0,01%. Pengetahuan ini bisa menjadi alternaif solusi dalam mempertimbangkan implementasi rencana tata ruang dan wilayah pada kawasan terkait.