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All Journal Conference on Innovation and Application of Science and Technology (CIASTECH) Jurnal Pengabdian Masyarakat Asia Jurnal Ilmiah Wahana Pendidikan Creative Research in Engineering (CERIE) Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis Horizon: Indonesian Journal of Multidisciplinary
Triana, N. Neni
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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PERENCANAAN PERAWATAN MESIN BLOW MOLDING DENGAN METODE MARKOV CHAIN UNTUK MENURUNKAN BIAYA PERAWATAN (STUDI KASUS DI PT. MEGAYAKU KEMASAN PERDANA) Ramadhan, Diaz Rizki; Triana, N. Neni; Suryapranatha, Dicky; Fathurohman, Fathurohman
Conference on Innovation and Application of Science and Technology (CIASTECH) CIASTECH 2020 "Peranan Strategis Teknologi Dalam Kehidupan di Era New Normal"
Publisher : Universitas Widyagama Malang

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Abstract

PT. Megayaku Kemasan Perdana adalah perusahaan yang bergerak di bidang produksi jeriken. Pada mesin produksi yang terdiri dari mesin blow molding sering mengalami kerusakan di luar jadwal waktu perencanaan perawatan mesin tersebut. Kerusakan mesin tersebut mengakibatkan terhentinya proses produksi, menurunnya keefektifan mesin dan membengkaknya biaya perawatan. Hasil pengolahan yang didapat menggunakan metode markov chain selisih biaya preventive maintenance dan corective maintenance pemeliharaan usulan mesin blow molding pada kondisi kerusakan ringan didapat Rp. 7.458.916,08 dengan selisih 77% pada kondisi sedang di dapat Rp. 871.821,32 dengan selisih 9,1 % dan kondisi berat didapat Rp. 6.587.094,72 dengan selisih 68%. Selisih antara biaya rata-rata perawatan perusahaan dan biaya yang di usulkan ke perusahaan yang bernilai besar agar menjadi acuan untuk perusahaan dalam melakukan perawatan, berdasarkan hasil penjadwalan preventive maintenance yang di usulkan yaitu setiap 2 bulan selama 1 tahun perawatan.
Pengaruh Lingkungan Kerja dan Kompensasi Terhadap Kinerja Karyawan PT. Bekaert Indonesia (Studi Kasus Operator Produksi PCR1) Iskandar, Fikri; Triana, N. Neni; Nadeak, Thomas
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 1 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10466726

Abstract

The COVID-19 pandemic has had a significant impact on the quality of work in Indonesia. This study is to see both factors of the work environment and compensation whether it can improve the performance of employees of PT Bekaert Indonesia. This study uses descriptive quantitative research methods to examine the effect of work environment and compensation on employee performance of PT Bekaert Indonesia. The research population is the company's production employees. The sample was selected using the accidental method of 68 respondents, using a questionnaire with a Likert scale to collect data. Data analysis using multiple linear regression after fulfilling the classical assumption test and validity and reliability tests. Based on the results of the study, it can be concluded that the work environment and compensation affect employee performance. The majority of PT Bekaert Indonesia employees show moderate performance. The work environment of PT Bekaert Indonesia is mostly moderate. Similarly, the majority of PT. Bekaert Indonesia's compensation is at a moderate level. Research shows that the work environment and compensation partially and simultaneously have a significant effect on employee performance. The work environment and compensation are factors in influencing employee performance at PT. Bekaert Indonesia by 42.2%.
Instagram as a Promotional Media for Islamic Boarding School Darul Ilmi Wal Amal Retnosary, Rieke; Yanti, Erna Diana; Triana, N. Neni; Kusumah, Deden Santa Winata; Prayodo, Gito; Tuhagana, Aji
Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2025): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v6i2.2660

Abstract

Purpose: This study examines how Instagram can be optimized as a promotional tool for Pesantren Darul Ilmi wal Amal, an Islamic boarding school with limited public visibility and student enrollment. The research addresses the challenge of promoting a newly established educational institution through effective digital channels. Method: Employing a qualitative approach, the research involved stakeholder discussions to map promotional strategies, development of Instagram content showcasing institutional profiles and activities, and evaluation using open-ended questionnaires distributed via Google Form. Practical Applications: The findings provide actionable recommendations: enhancing visual quality and consistent branding, creating emotionally engaging stories, utilizing interactive features (polls, Q&A), posting educational content, optimizing captions and hashtags, and using analytics to refine engagement strategies. Conclusion: While the initial Instagram presence was visually appealing, it lacked structured planning and engagement. With strategic content optimization and consistency, Instagram demonstrates significant potential as an effective promotional medium to increase public interest and student enrollment in the Islamic boarding school.
Optimasi Pengendalian Persediaan Gabah Menggunakan Metode EOQ: Studi Kasus pada PD Karya Manik Abadi Oktaviyanto, Syahrul; Suhara, Ade; Rohmah, Yuni Syifau; Triana, N. Neni
Creative Research in Engineering (CERIE) Vol. 6 No. 1 (2026): Creative Research in Engineering (CERIE)
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

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Abstract

Pengendalian persediaan bahan baku memiliki peran penting dalam efisiensi proses produksi. Kekurangan bahan baku dapat menghambat produksi, sedangkan kelebihan meningkatkan biaya. Penelitian ini mengevaluasi sistem persediaan PD Karya Manik Abadi dengan pendekatan Economic Order Quantity (EOQ). Metode yang digunakan adalah kuantitatif deskriptif, dengan data diperoleh melalui observasi dan wawancara. EOQ digunakan untuk menentukan jumlah pemesanan optimal. Hasil menunjukkan bahwa metode yang saat ini digunakan perusahaan menghasilkan 240 kali pemesanan/tahun dengan rata-rata 2002,5 kg, dan biaya total sebesar Rp 55.961.991. Dengan rasionalisasi EOQ (jumlah pemesanan 12.000 kg), biaya dapat ditekan menjadi Rp 9.870.211. Safety stock yang dihitung sebesar 1882 kg, dan reorder point sebesar 3217 kg.
Pengaruh Kualitas Produk dan Promosi terhadap Keputusan Pembelian Kopi Fore di Karawang Monalisa, Adinda Tria; Triana, N. Neni; Rahman, Shandikha Arya Yudha
Jurnal Manuhara : Pusat Penelitian Ilmu Manajemen dan Bisnis Vol. 4 No. 2 (2026): April : Jurnal Manuhara : Pusat Penelitian Ilmu Manajemen dan Bisnis
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manuhara.v4i2.2798

Abstract

This study aims to determine the effect of product quality and promotion on purchasing decisions at Kopi Fore Karawang. This research uses a quantitative approach with the goal of analyzing the relationship between the variables of product quality, promotion, and consumer purchasing decisions. The population in this study consists of all consumers who have made or will make purchases at Kopi Fore Karawang. The number of samples used was 96 respondents determined using the Lemeshow formula. Data collection was carried out through observation, distribution of questionnaires, and literature study as supporting data for the research. The data obtained were then analyzed to determine the influence of each variable both partially and simultaneously on the purchasing decision. The research results show that product quality has a positive and significant partial effect on purchasing decisions at Kopi Fore Karawang. Additionally, promotion also has a positive and significant partial effect on purchasing decisions. Simultaneously, product quality and promotion have been proven to have a positive and significant effect on consumer purchasing decisions at Kopi Fore Karawang. These findings indicate that improving product quality, supported by effective promotional strategies, can enhance consumer purchasing decisions.
Investasi di Era AI: Analisis Tren Harga Cryptocurrency Berbasis Kecerdasan Buatan (AI) dan Korelasi dengan Saham NVIDIA Rachman, Akmal Kherudin; Triana, N. Neni; Nadaek, Thomas
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 4 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.7315

Abstract

The advancement of artificial intelligence (AI) has driven growth in the technology sector and the emergence of AI-based crypto assets, making the relationships between these assets a subject worthy of study. This research analyzes the price relationships between Nvidia (NVDA) stock and Bitcoin (BTC), Bittensor (TAO), NEAR Protocol (NEAR), and Internet Computer (ICP), while comparing the performance of Prophet and Long Short-Term Memory (LSTM) models. A quantitative approach utilizing time-series analysis was employed. Daily closing price and volume data were obtained from CoinMarketCap for the crypto assets and Investing.com for NVDA, covering the period from January 16, 2025, to February 18, 2026—comprising 273 observations aligned with NVDA's trading days. The analysis encompassed descriptive statistics, Pearson correlation, the Augmented Dickey-Fuller (ADF) stationarity test, Prophet and LSTM modeling, and Mean Absolute Percentage Error (MAPE) evaluation. The results reveal varying strengths in inter-asset relationships and differing stationarity characteristics across the price series. LSTM tended to project price increases for the crypto assets and a decline for NVDA, whereas Prophet yielded more conservative projections. Based on MAPE, Prophet exhibited an average prediction error 12.9% lower than that of LSTM, indicating superior predictive performance during the study period.
Co-Authors Aji Tuhagana Dicky Suryapranatha Fathurohman Fathurohman, Fathurohman Iskandar, Fikri Kusumah, Deden Santa Winata Monalisa, Adinda Tria Nadaek, Thomas Nadeak, Thomas Oktaviyanto, Syahrul Prayodo, Gito Rachman, Akmal Kherudin Rahman, Shandikha Arya Yudha Ramadhan, Diaz Rizki Retnosary, Rieke Rohmah, Yuni Syifau Suhara, Ade Yanti, Erna Diana