the International Journal of Education, Theology, and Humanities <p class="heading1" align="justify"><span style="font-size: small;"><span lang="EN-GB"><strong>the International Journal of Education, Theology, and Humanities </strong>is an international journal that accepts for publication reviewed original papers, short communications, and reviews on a broad range of topics of interest for educations, theologians and humanities working mainly in the area of Science &amp; Theology.</span></span></p> <p class="heading1" align="justify"><span style="font-size: small;"> </span><span style="font-size: small;"><span lang="EN-GB">The aim of the journal is to serve as a platform of exchanging ideas and exploring interconnections between Educations, Theology and Humanities. It aspires to offer the theological community digestible, yet fully competent accounts of latest scientific research while inviting further exploration of the ethical, religious, social, and philosophical aspects of these scientific discoveries. Scientists and technologists, on the other hand, may find here new insights and/or more complex attempts of understanding possible short-term as well as long-term implications of their research work for the life of human individual, communities, and the natural environment. IJETH wishes to gather, critically explore, and share the potential of an international community of academics and professionals, intending to contribute actively to Asians and global debates on these issues.</span></span></p> <p class="heading1" align="justify"><span style="font-size: small;"> </span><span style="font-size: small;"><span lang="EN-GB">The journal will also try to provide university lectures or students (primarily, though not exclusively, on the doctoral level of study), young post-docs and newcomers in the field of Educations, Theology and Humanities, a basic tool with which to learn its fundamental and possible applied aspects.</span></span></p> en-US (Warseto Freddy Sihombing, M.Th) (Juni Santo Sihotang, S.Kom) Wed, 28 Dec 2022 00:00:00 +0700 OJS 60 Indonesia Spirituality and Learning Interest of Papuan Students in Malang <table width="955"> <tbody> <tr> <td> <p>Pandemic has forced students to shift to online learning.&nbsp; One of the challenges it poses that teachers need to cope with is student’s interest in learning which affects the mastery of the subject matter taught. Meanwhile, Christian spirituality may play a role in enhancing students’ interest in learning. The research used quantitative ex post facto design. The subject of the research comprised 75 students from Papua who live in Malang. The analysis was conducted using multiple linear regression. The results revealed that Christian spirituality had an effect on students’ interest in learning at 83 percent (R square). It proves that equipping Papuan students spiritually in the knowledge of God impacts on the learning.</p> <p>&nbsp;</p> <p><strong>Keywords:</strong> &nbsp;&nbsp;Christian Spirituality, Learning Interest</p> </td> </tr> </tbody> </table> <p>&nbsp;</p> Lidia Susanti, Sem Kogoya Copyright (c) 2022 Lidia Susanti, Sem Kogoya Wed, 28 Dec 2022 00:00:00 +0700 Increase Global Competition Through Managing the Business and Partnership Patterns <p>Attitude of running a business characterized by long-term relationships, a high-level cooperation, mutual trust, where suppliers and customers trade with each other to achieve common business goals. The problem formulation is how partnership patterns in order to increase global competition?&nbsp; The purpose of the research is to find out the pattern of partnerships in order to increase global competition. State of the art (literature study) used is a partnership, pattern and global competition and Increase. The research method used is qualitative research. Data collection using in-depth interviews and documentation. The conclusion is as follows. There are four patterns of partnership: (1). Plasma-Core: is a partnership relationship between micro, small medium enterprises (as plasma) and large enterprises (as the core) of fostering and developing small businesses. (2).&nbsp; General trading: A partnership between a small business with a medium-sized business or large enterprise, where a medium or large business markets the production of a small business, or a small business supplies the needs needed by a medium-sized business or large partner business. (3).&nbsp; Franchising: is a cooperation in which one party is granted the right to exercise the right of intektual wealth, discovery, business cash characteristics such as licenses, trademarks, and distribution channels of his company to the franchisee with the help of management guidance. (4). Agency: is a partnership relationship in which a small business is given special rights to market medium-sized business goods and services or large business partners. (5). Operational cooperation: A pattern of business relationships run by a group of partners with a partner company.</p> I Wayan Ruspendi Junaedi Copyright (c) 2022 I Wayan Ruspendi Junaedi Wed, 28 Dec 2022 00:00:00 +0700 Data Mining Analysis Using Naive Bayes Algorithm and Knn to Predict Graduation of D3 Students Department of Information Management <p>In this study, the specific objective of this research is to obtain the results of decisions in predicting students of the informatics management study program whether they can graduate on time for 3 years or more in the specified time and with a minimum GPA of 3.00. Student graduation is one of the Internal Quality Assurance Standards on campus or college. To achieve a decent quality of graduation, a study is needed to be able to predict the graduation rate with predetermined standards, so as to reduce and anticipate problems in the academic field that occur. In this study, data mining methods are used to predict the passing rate and standard GPA with a classification function. The algorithm used in this study is Naïve Bayes and K-NN, the stages used in the application of this research are KDD starting with selecting, preprocessing, transformation, data mining and evaluation/interpretation stages. The final result of this study using the K-NN and Naïve Bayes algorithms is that K-NN produces an accuracy rate of 94.81% and Nave Bayes produces an accuracy rate of 90.49%, so it can be concluded that the K-NN algorithm is better used to predict graduation of D3 students majoring in informatics management.</p> Jonas Franky Rudianto Panggabean, Kamson Sirait, Frainskoy Rio Naibaho Copyright (c) 2022 Jonas Franky Rudianto Panggabean, Kamson Sirait, Frainskoy Rio Naibaho Wed, 28 Dec 2022 00:00:00 +0700