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Pelatihan penggunaan sistem manajemen aset gereja untuk peningkatan tata kelola administrasi di GMIM jemaat anugerah paslaten Tomohon Setiyawati, Nina; Bangkalang, Dwi Hosanna; Hartomo, Kristoko Dwi
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 1 (2024): March
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i1.21294

Abstract

AbstrakDigitalisasi tata kelola gereja merupakan bagian penting untuk mendukung tata kelola administrasi gereja. Saat ini, Gereja Masehi Injili di Minahasa (GMIM) Jemaat Anugerah Paslaten Tomohon berproses mengimplementasikan teknologi dalam tata kelola administrasi gereja secara menyeluruh dimana salah satunya adalah pengelolaan aset. Pada kegiatan Pengabdian kepada Masyarakat (PkM) ini dilakukan pelatihan sistem manajemen aset gereja. Pelatihan dilakukan pada bulan Agustus 2023 dengan metode ceramah dan praktik. Fokus pelatihan pada fungsi pendaftaran dan penambahan aset, perubahan status aset, dan pengawasan kondisi aset. Peserta pelatihan terdiri dari Pendeta Jemaat, Majelis, Admin Teknologi Informasi, dan Koster GMIM Jemaat Anugerah Paslaten. Dari hasil pengujian kepada 14 peserta pelatihan, didapatkan hasil 91%. Hal ini dapat diinterpretasikan bahwa peserta pelatihan sangat setuju Sistem Manajemen Aset Gereja diperlukan untuk pengelolaan aset dan mempermudah dalam mendokumentasikan aset gereja. Kata kunci: sistem manajemen aset gereja; pengelolaan aset; tata kelola administrasi gereja. AbstractDigitalization of church governance is an important part of supporting church administrative governance. Currently, the Evangelical Christian Church in Minahasa (GMIM) Congregation Anugerah Paslaten Tomohon is in the process of implementing technology in overall church administration, one of which is asset management. In this Community Service (PkM) activity, training was carried out on the church asset management system. Training will be conducted in August 2023 using lecture and practical methods. Focus training on the function of registering and adding assets, changing asset status, and monitoring asset condition. The training participants consisted of the Congregation Pastor, Council, Information Technology Admin, and GMIM Koster of the Anugerah Paslaten Congregation. From the results of testing on 14 training participants, the results were 91%. This can be interpreted to mean that the training participants strongly agree that the Church Asset Management System is needed to manage assets and make it easier to document church assets. Keywords: church asset management system; asset management; church administrative governance.
Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering Setiyawati, Nina; Bangkalang, Dwi Hosanna; Purnomo, Hindriyanto Dwi
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1053

Abstract

The menu is one of the most fundamental aspects of business continuity in the culinary industry. One of the tools that can be used for menu analysis is menu engineering. Menu engineering is an analytical tool that assists restaurants, companies, and small and medium-sized enterprises (SMEs) in assessing and making decisions on marketing strategies, menu design, and sales so that it can produce maximum profit. In this study, several menu engineering models were proposed, and the performance of these models was analyzed. This study used a dataset from the Point of Sales (POS) application in an SME engaged in the culinary field. This research consists of three stages. First, pre-processing the data, comparing the models, and evaluating the models using the Davies Bouldin index. At the model comparison stage, four models are being compared: K-Means, K-Means++, K-Means using Singular Value Decomposition (SVD), and K-Means++ using SVD. SVD is used in the dataset transformation process. K-Means and K-Means++ algorithms are used for grouping menu items. The experiments show that the K-Means++ model with SVD produced the most optimal cluster in this research. The model produced an average cluster distance value of 0.002; the smallest Davies-Bouldin Index (DBI) value is 0.141. Therefore, using the K-Means++ model with SVD in menu engineering analysis produces clusters containing menu items with high similarity and significant distance between groups. The results obtained from the proposed model can be used as a basis for strategic decision-making of managing price, marketing strategy, etc., for SMEs, especially in the culinary business.
Co-Authors Ade Iriani Agustinus Fritz Wijaya Aleksander Bagas Andrean Richardo Andreas Adi Nugroho Andreas Gibran Nethanel Paat Andrew Robot Feldy Najoan Ariyansa, Budi Asmara, Gilang Windu Benedict Hardyanto Harjono Budhi Kristianto Danny Manongga Devylia Todingbua Dewi, Eka Kamilla Dian Novita Kristiyani Dinda Fitri Ningtyas Dwi Hosanna Bangkalang Dyarenggasto, Yuven Prisma Eben Haezer, Eben Haezer Yena Kristianto Ellyandrew, Bravelyan Edgar Randista Elya Eko Widiyanto Evangs Evangs Mailoa Gabrielle Beauty Linelejan Hanna Prillysca Chernovita Hanusia Manuel Oktrivania Zamili Hariyanto, Malvin Hendry, - Herlambang Adi Wicaksono Hindriyanto Dwi Purnomo Irwan Sembiring Jihot Lumban Gaol Juniarto Christiawan Hartono Kevin Harlim Lim Kinanthi, Wikan Chandra Kosasih, Billy Chrisdianta Kristiadi, Nidia Claressa Kristoko Dwi Hartomo Linelejan, Gabrielle Beauty Lumban Gaol, Jihot Maarif, Muhamad Makhasinul Magdalena Ariance Ineke Pakereng Markus Permadi Najoan, Andrew Robot Feldy Nataldo Noya Ningtyas, Dinda Fitri Permadi, Markus Pitarto, Yuhono Indra Posumah, Theresia Mutiara Pratyaksa Ocsa Nugraha Saian Prayogi, Yosef Agil Pribadi, Jemy Agung Purwoko, Agus Radius Tanone Rafael Jonathan Rani Kusuma Wardhani Raynaldo Raynaldo Raynaldo Raynaldo, Raynaldo Reinhard Alfaries Saemani Rezal Hiariej Riko Yudistira Saluling, Jefferson Julystian Hendrik Sippan, Refli Bob Soebroto, Dorkas Tri Oktavena Sterry Fleanry Mulaki Totti, Francesco Adhimas Tri Darma Krismanda Vania Harianto Putri Tjandra Vio Ayu Oktavia Putu Warisman Wicaksono Dwi Pamungkas Wijaya, Yemima Clara Yayi Suryo Prabandari Yerymia Alfa Susetyo Yohanes Puguh Suharjito Yos Richard Beeh Yos Richard Beeh Yudistira, Riko Yuliana T. B. Tacoh Yuny Tamariska Bota Yuven Prisma Dyarenggasto