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KINERJA KEUANGAN PERBANKAN DALAM PERSPEKTIF CAMEL: EVALUASI EMPIRIS TERHADAP PT BANK NATIONAL NOBU TBK Anshor, Khairi; Soraya, Nurhaflah; Ginting, Rika Githamala; Arifyanto, Gatot Teguh; Tarigan, Devanta Abraham
Worksheet : Jurnal Akuntansi Vol 4, No 2 (2025)
Publisher : UNIVERSITAS DHARMAWANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/wjs.v4i2.6413

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat kesehatan keuangan PT. Bank Nationalnobu Tbk selama periode 2020 hingga 2023 berdasarkan pendekatan rasio keuangan yang mencakup Capital Adequacy Ratio (CAR), Non-Performing Loan (NPL), Return on Assets (ROA), Net Profit Margin (NPM), dan Loan to Deposit Ratio (LDR). Metode analisis yang digunakan bersifat deskriptif kuantitatif dengan mengacu pada standar penilaian kesehatan bank yang ditetapkan oleh Bank Indonesia. Hasil penelitian menunjukkan bahwa bank berada dalam kategori cukup sehat pada tahun 2020 hingga 2022, ditandai oleh rasio CAR dan NPL yang stabil dan tinggi. Namun, pada tahun 2023, terjadi penurunan peringkat kesehatan bank menjadi kurang sehat yang disebabkan oleh peningkatan signifikan pada rasio LDR hingga 99,67%, yang mencerminkan potensi risiko likuiditas. Dengan demikian, meskipun kinerja permodalan dan kualitas aset cukup baik, bank perlu meningkatkan efisiensi operasional dan pengelolaan likuiditas untuk menjaga kestabilan keuangannya secara berkelanjutan.
Analisis Solar Tracking pada Pembangkit Listrik Tenaga Surya Sebagai Sumber Tenaga Lampu Jalan: Penelitian Devanta Abraham Tarigan; Alexander Sebayang; Efrata Tarigan; Liwat Tarigan
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 3 No. 4 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 3 Nomor 4 (April 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v3i4.2079

Abstract

The utilization of solar energy in Indonesia is still very low despite its huge potential. One of the causes of the low efficiency of solar panels is static installation that does not follow the direction of sunlight. To overcome this, an automatic solar tracker system was designed and built on a 20WP Solar Power Plant (PLTS) as a source of energy for street lights. This research uses a design and experiment method, which involves the development of an ESP32 microcontroller-based system, equipped with a GY-271 compass sensor, INA219 current and voltage sensors, and a DS3231 RTC module. A servo motor is used to automatically adjust the panel's position to follow the direction of the sun. This system is also equipped with an LM2596 Step-Down regulator and is programmed using the Arduino IDE, and can send real-time monitoring data via Wi-Fi to a smartphone. The experimental results show that the solar tracker system is able to increase electrical power up to more than a static panel at the same test time. The panel follows the movement of the sun from east to west, resulting in higher power efficiency throughout the day. Comparison of data between the tracker system and the panel still shows a significant difference in power at each hour of measurement. Testing has begun and has yielded an average power increase of 20.41% compared to static solar panels.
Review Produk Iphone dengan Analasis Sentimen menggunakan Algoritma Text Mining TF-IDF Tarigan, Devanta Abraham
Jurnal Sains dan Teknologi Informasi Vol 4 No 2 (2025): Maret 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v4i2.7799

Abstract

The iPhone is a product that has become a major concern in society and has become one of the main needs in everyday life. However, sometimes the iPhone often faces several problems that need attention. One problem that is often the main focus is the fairly high price. Therefore, we need a system that can determine the public's view of the iPhone product. This research uses text mining and TF-IDF to determine people's views on iPhone products. Text mining can be defined as the discovery of new, previously unknown information and the automatic extraction of valuable information from text from different sources. Meanwhile, TF-IDF is used to determine the frequency value of words in a document. In this research, sentiment refers to people's views on iPhone products, whether positive or negative. The final result of this sentiment analysis is that the positive sentiment value is 68.65% while the negative sentiment value is 31.35%. This is expected to provide information about the extent to which iPhone products are accepted by the public. By understanding people's sentiments, Apple company can take necessary actions to improve product quality and user satisfaction. Apart from that, this research also introduces the concept of Text Mining and the TF-IDF algorithm as a powerful tool for analyzing text data in the context of sentiment analysis.
Revitalisasi UMKM Pengrajin Kayu Kota Medan untuk Penguatan Daya Saing melalui Optimalisasi Peralatan Produksi dan Efektivitas Biaya Produksi Nurhaflah Soraya; Rahmadani, Rahmadani; Khairi Anshor; Devanta Abraham Tarigan; Rika Githamala Ginting
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 6 No. 4 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v6i4.2729

Abstract

This community service program aims to enhance the competitiveness of woodcraft SMEs in Medan City through revitalization strategies focused on optimizing production equipment and improving cost-effectiveness. The main challenges faced by these SMEs are outdated technology, inefficient tools, and high operational costs, which result in low productivity and suboptimal product quality. Through technical training, mentoring, and the implementation of equipment improvement as well as cost management practices, the program successfully increased production efficiency, reduced unnecessary expenses, and improved the quality of wooden products to become more competitive in local and regional markets. The results indicate significant improvements in production capacity, cost efficiency, and entrepreneurial knowledge in sustainable business management, thereby strengthening the competitiveness of woodcraft SMEs amid an increasingly dynamic market environment.
PKM Optimalisasi Pendapatan melalui Transformasi Digital BMA: Branding, Marketing dan Accounting untuk Keberlanjutan UMKM Deli Serdang Rahmadani, Rahmadani; Soraya, Nurhaflah; Asrin Jazuli, Muhammad; Anshor, Khairi; Abraham Tarigan, Devanta
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 6 No. 4 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v6i4.2730

Abstract

Program pengabdian masyarakat ini bertujuan untuk menyelesaikan masalah mitra terkait kemampuan mitra dalam membranding produk bisnis, memasarkan produk secara digital, dan melakukan perhitungan harga pokok produksi. Selain itu kegiatan PKM ini juga memberikan produk ke UMKM berupa program sederhana berbasis MS. Excel untuk menyelesaikan permasalahan akuntansi dan alat perekat agar kemasan lebih menarik. PKM ini penting bagi mitra untuk meningkatkan pendapatan usaha melalui branding, digital marketing. Luaran yang ditargetkan adalah peningkatkan kemampuan mitra sehingga mitra menjadi lebih mandiri dan mampu meningkatkan branding, marketing, dan accounting yang berbasis digital dan terstandar. Sehingga keputusan bisnis yang diambil berdasarkan data akuntansi yang akurat. Dan pada akhirnya meningkatkan penjualan usaha dibarengin dengan peningkatan profit dan kesejahteraan pelaku UMKM guna untuk keberlanjutan ekonomi. Target yang dicapai adalah mitra mampu meningkatkan citra baik produk melalu branding, menggunakan dan memaksimalkan pemasaran dengan berbasis digital marketing berupa sosial media, dan mitra mampu menyusun akuntansi biaya produksi menggunakan excel.