This study aims to obtain the potential of schools in each marketing mix variable to build the image of the school in order to increase the number of students at SMP Kristen Krida Wacana Sragen. This research uses a descriptive qualitative method. Collecting data through interviews, observations, and documentation studies. The data analysis technique uses the Miles and Huberman model (interaction model). Data validation with source triangulation and technical triangulation. The results of the research show 1. Building the image of the school to increase the number of students is carried out in fellowship activities and meetings both in the church environment, Christian student associations, and Christian religious teacher meetings, by introducing the advantages of the school. Promotion through the distribution of brochures and banners, presentations at churches, door-to-door/visits to prospective students, and social media. 2. Weaknesses and obstacles in building a school's image include not having a planned and systematic program, not having a public relations department, every promotion is not well documented, not having a special promotion team, schools targeted for promotion being limited, promotional content lacks appeal, costs promotion is limited, human resources are limited, communication with the church is less intense, there is no new form of promotion, committee, and foundations are less actively involve the d in promotion, and teachers are less active in building an image with infectious messages. 3. The implications of the marketing mix in building the image are a) product in the form of superior choir extracurricular programs, b) price, maintaining current prices, strengthened in seeking sponsors and donors, c) Place, improving the environment/classroom where teaching and learning activities are conducted, d) promotion, planning good promotions, building partnerships, and looking for uniqueness or differentiation, e) people, improving performance, building communication, school image culture, forming a public relations department f) physical evidence, improving infrastructure in the form of environmental management, painting, making schools green, and improving the appearance of the front facing the highway g) Process, service improvement and implementation of supervision by the principal in a good and planned manner.

Abstract Higher Education is an education that includes Diploma, Bachelor, Master, and other programs organized by Universities based on Indonesian culture. Administrative staff play an important role in supporting academic activities in Higher Education of course in the academic administration should have a good information system, but demkian permasalhan in academic service is still common, especially when the delivery of information that sometimes different between staff one with another. This paper intends to improve the academic service by applying Knowledge Management to the administrative staff at the university so that all parties can perform their obligations in accordance with their respective obligations and get their rights as appropriate.

Community service activities are carried out at the Central Christian Education Institution, Salatiga City. The objective of this activity is to prepare teachers who are selected as prospective principals to understand the concept and implementation of school principal competency standards in the fields of managerial, supervision, and entrepreneurship. Activities are held in the form of online mode-based training. The school development plan is the final product of this training activity. This activity is expected to create prospective school leaders of the Central Christian Education Institution Salatiga who can improve the quality of education through their leadership, creativity, and innovation qualities. The results of this community service activity can improve managerial competence, supervision, and entrepreneurship for prospective principals of the Christian Education Institution Salatiga.

Pola berulang dan simetris berdimensi dua sering dijumpai dalam kehidupan sehari-hari, seperti pada motif kain, paving jalan, barisan tapak kaki seseorang di pasir. Pola berulang dan simetris tersebut terbentuk dari transformasi, yang terdiri dari translasi, rotasi, refleksi, dan refleksi-glide. Dalam matematika, pola berulang dan simetris pada bidang datar, yang terbentuk dari transformasi, termasuk dalam grup simetri bidang datar. Grup simetri bidang datar ini sering disebut juga sebagai grup kristalografi bidang datar atau grup kertas dinding (wallpaper group). Terdapat 17 grup kertas dinding yang dikenal. Tujuan dari penelitian ini adalah membangkitkan berbagai macam pola dari suatu pola dasar dengan menerapkan konsep grup kertas dinding. Penelitian dilakukan dengan (1) menentukan dan membuat suatu pola dasar yang digunakan untuk membentuk pola lain, (2) membangkitkan 17 pola yang dibentuk dari 17 grup kertas dinding, dan (3) mengidentifikasi pola gambar yang diperoleh dari internet termasuk ke dalam salah satu grup kertas dinding. Pola dasar yang digunakan dalam penelitian ini adalah spiral. Hasil yang didapat berupa 17 motif spiral yang berbeda dan juga empat motif yang diambil dari internet yang dapat dikenali sebagai salah satu pola dari 17 pola grup kertas dinding.

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.

Pertumbuhan industri di Kendal Jawa Tengah membuat PT. Arum Mandiri Group mencoba meningkatkan unit bisnisnya dengan mengoptimalkan SDM nya. Peningkatan SDM perusahaan salah satunya dengan kolaborasi komunikasi antara karyawan dan pimpinan. Penelitian ini mencoba untuk mengidentifikasi kolaborasi jaringan komunikasi karyawan dalam perusahaan dengan menggunakan metode Social Network Analysis (SNA). Berdasarkan analisa diperoleh hasil tingkat density sebesar 14,9% yang dianggap memiliki ikatan lemah karena dibawah 50%. Individu nomor 31 memiliki degree centrality tertinggi dengan nilai outdegree 15 dan indegree 10, sedangkan individu nomor 25 yang memiliki closeness centrality tertinggi dengan nilai inCloseness 50.602 dan nilai outCloseness 27,815. Individu nomor 25 juga memiliki betweenness centrality tertinggi dengan nilai Betweenness 743.194dan nBetweenness 43.159. Dapat disimpulkan dalam penelitian ini terdapat kolaborasi dalam jaringan sosial dari masing-masing individu yang terbagi dalam tiga divisi kerja dan tergambarkan dalam bentuk sociogram.  Industrial growth in Kendal, Central Java made PT. Arum Mandiri Group is trying to improve its business units by optimizing its human resources. One of the improvements in corporate HR is through collaborative communication between employees and leaders. This study tries to identify employee communication network collaboration within a company by using the Social Network Analysis (SNA) method. The result of this research are density level of 14.9% which is considered to have a weak bond because under 50%. Individual number 31 has the highest of degree centrality with an outdegree value of 15 and indegree of 10, while individual number 25 has the highest closeness centrality with value inCloseness 50.602 and outCloseness value 27.815. Individual number 25 also has the highest centrality betweenness with a value of Betweenness 743,194 and nBetweenness 43,159. It can be concluded in this study there is collaboration in the social network of each individual which is divided into three work divisions and described in the form of a sociogram.