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All Journal Natural Science: Journal of Science and Technology E-Journal Of Cultural Studies Jurnal Simetris Biocelebes TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi Syntax Literate: Jurnal Ilmiah Indonesia Ultimart: Jurnal Komunikasi Visual Reswara: Jurnal Pengabdian Kepada Masyarakat JUTECH : Journal Education and Technology Real Coster Return : Study of Management, Economic and Bussines Kiwari Damai : Jurnal Pendidikan Agama Kristen dan Filsafat
Ivan Ivan
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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The Influence of Knowledge Attributes on Interpersonal Distrust in Knowledge Hiding Ivan, Ivan; Tandelilin, Elsye
Return : Study of Management, Economic and Bussines Vol. 4 No. 6 (2025): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v4i6.376

Abstract

This study aims to test and analyze the influence of the theory of knowledge management, which includes psychological danger, interpersonal distrust, knowledge hiding, knowledge attribute, and compassion training on employees in paper mills. The type of research used is basic research, utilizing four variables and one moderation variable, namely psychological danger, interpersonal distrust, knowledge hiding, knowledge attribute, and compassion training as the moderation variable. This study used primary data by distributing an online questionnaire involving 123 respondents as a sample and was analyzed using the SEM (Structural Equation Modeling) method with SPSS 25 and AMOS Graphics 22.0 software. The results of the study showed that all hypotheses were supported: psychological danger had a significant positive effect on interpersonal distrust; psychological danger had a significant positive effect on knowledge hiding; interpersonal distrust had a significant positive effect on knowledge hiding; compassion training had a significant positive effect on the influence of psychological danger on interpersonal distrust; and knowledge attribute had a significant positive effect on interpersonal distrust.
Strategi Pembinaan Iman PPGT Jemaat Buntu Masakke' Melalui Pemanfaatan Media Digital untuk Memperkuat Pemuda yang Berakar dan Bertumbuh Ivan Ivan; Rannu Sanderan
Damai : Jurnal Pendidikan Agama Kristen dan Filsafat Vol. 2 No. 3 (2025): Jurnal Pendidikan Agama Kristen dan Filsafat
Publisher : Asosiasi Riset Ilmu Pendidikan Agama dan Filsafat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/damai.v2i3.1230

Abstract

The digital era has brought profound transformations in religious life, creating both opportunities and challenges for the younger generation of Christians in maintaining their faith. The Toraja Church Youth Fellowship (PPGT) of the Buntu Masakke Congregation is one such community struggling to maintain the steadfastness of its youth's faith amidst the tide of globalization, the temptations of materialism, worldly positions, and the increasingly prevalent dynamics of interfaith romance. This reality drives the need for a faith training strategy that is relevant, contextual, and utilizes the potential of digital technology wisely. This study aims to implement an effective faith training strategy for PPGT through the use of digital media to produce church youth who not only unleash strength in faith, but also grow spiritually and are able to serve in creative and impactful ways in the modern era. This study used a four-month practicum method involving 22 active participants. Three training modules were implemented in stages: (1) Rooted in God's Word in the Digital Age, which encourages the use of Bible applications and digital devotionals; (2) Growing in Christ's Character Amidst Worldly Temptations, which emphasizes the values of integrity, faithfulness, and holiness; and (3) Serving with Creativity and Relevance in the Digital Age, which invites young people to produce digital content with spiritual value. The results of the study showed significant success, with 95% achieving “rootedness,” 80% achieving “growth,” and 86% achieving “serving.” In fact, 63.6% of participants experienced spiritual transformation and are now active as digital ministry drivers. These findings confirm that digital media, when utilized strategically and in harmony with Christian values, can be an effective tool in fostering the faith of the younger generation. Therefore, the church needs to develop a sustainable and contextual digital training model to strengthen the role of young people in current and future ministry.
IMPLEMENTASI DATA MINING DALAM PREDIKSI HARGA SAHAM BBNI DENGAN PEMODELAN MATEMATIKA MENGGUNAKAN METODE LSTM DENGAN OPTIMASI ADAM Rahman, Alrafiful; Istiyowati, Lucia Sri; Valentinus, Valentinus; Ivan, Ivan; Azis, Zainal
JUTECH : Journal Education and Technology Vol 5, No 2 (2024): JUTECH DESEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v5i2.4137

Abstract

Stock price prediction plays a crucial role in investment decision-making, allowing investors to maximize profits and minimize risks. This study implements the Long Short-Term Memory (LSTM) method with Adam optimization to predict the stock price of Bank Negara Indonesia (BBNI) based on historical stock price data from the Indonesia Stock Exchange (2001-2023). LSTM is chosen for its ability to handle sequential data and identify long-term patterns in time series. Meanwhile, the Adam optimization algorithm is used to accelerate model convergence and improve prediction accuracy. The data used includes daily stock prices (closing prices), and the research process involves data collection, preprocessing, LSTM model creation, Adam optimization, training, evaluation, and prediction. The experimental results show that the model with a batch size of 64 and 100 epochs yields an R² of 0.9928 and a MAPE of 1.53%, indicating a very high prediction accuracy. With an accuracy of 98.46%, the LSTM model with Adam optimization proves to be effective in predicting stock prices, providing excellent results for applications in investment strategies. This study demonstrates the great potential of applying data mining and machine learning techniques in more informed and data-driven stock market analysis.
Analisa Strategi pada PT. Astra Agro Lestari Tbk. Ivan, Ivan; Wijaya, Liliana Inggrit
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i11.17143

Abstract

Tujuan penelitian ini untuk menganalisis pilihan strategi yang bisa dilakukan perusahaan agar tetap bertahan dengan situasi masa depan. Konsep kunci dalam penelitian ini adalah formulasi strategi, dimana metode kuantitatif yang digunakan meliputi langkah-langkah manajemen industri yang diterapkan oleh PT. Astra Agro Lestari (AALI) dalam menghadapi persaingan bisnis industri kelapa sawi. Hasil penelitian terhadap lingkungan internal dan eksternal menghasilkan kekuatan, kelemahan, peluang, dan tantangan (SWOT) yang dimiliki AALI. Analisis SWOT itu selanjutnya dimasukkan ke dalam matriks untuk pilihan strategi, meliputi matriks External Factor Evaluation dan Internal Factor Evaluation, Competitive Profile Matrix, Threats Opportunities Weaknesses Strength, SPACE, Boston Consulting Group, Internal External matix, GSM (Grand Strategic Matrix), serta QSPM (Quantitive Strategic Planning Matrix). Rekomendasi akhir yang diperoleh bahwa pilihan strategi AALI yaitu penetrasi pasar mengingat pangsa pasar di Indonesia yang masih cukup besar.
Co-Authors Amir Galeb Al Amrie Angela, Paros Priskila Aron Meko Mbete Asikin, Saripah Nur Azis, Zainal Betaria Siahaan Daniel Agustin Dewi Permatasari Elsye Tandelilin Erwin Alfian Febiola, Rizki Cantika Halim Agung Hidayat, Fiqri I Gde Semadi Astra I Nyoman Kutha Ratna Irna Olvaliani Aimang Jenri Prada Sibarani Lestari, Dinda Dwi Liliana Inggrit Wijaya Lucia Sri Istiyowati Maryani, Dian Mas Akhbar Faturrahman Nirmala, Nira Rahman, Alrafiful Ramadhanil Pitopang Ramadhanil Ramadhanil Rannu Sanderan Raphael, Stephanus Rexy Maulana Dwi Karmadi Rismag Dalena Florentina Monica Br Manurung Syariful Anam Sylvia Natalia Valentinus, Valentinus Yoedtadi, Moehammad Gafar Zega, Yunardi Kristian