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PENGARUH SUHU DAN DURASI PENYINARAN PANEL SURYA TERHADAP EFISIENSI ENERGI PANEL SURYA: STUDI KASUS PLTS INSTITUT TEKNOLOGI PLN Zahriya Okta Priani, Hakimul Batih, Syamsir Abduh
Integrative Perspectives of Social and Science Journal Vol. 2 No. 03 Juli (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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Abstract

This study examines the effects of temperature and solar exposure duration on photovoltaic panel efficiency in tropical regions, using a case study at the PLN Institute of Technology's Solar Power Plant (PLTS) in Jakarta. The background highlights challenges in PLTS efficiency under tropical climates vulnerable to high temperatures and solar radiation fluctuations. The objective is to analyze the simultaneous impact of both factors during dry and rainy seasons. The method employs Partial Least Squares Structural Equation Modeling (PLS-SEM) with field data collected over 6 months (January-June 2025). Results reveal that temperature has a strongly significant negative effect on efficiency in both seasons (coefficient -1.128 for dry; -1.065 for rainy), while solar exposure shows smaller positive effects (0.361 for dry; 0.209 for rainy). A key finding is the dominant role of temperature regardless of season, whereas solar radiation remains significant even at low intensity. The study implies the need for panel cooling systems and climate-specific adaptation strategies to optimize PLTS in tropical areas.
The Role of A Firm’s Capabilities on Business Model Innovation; Evidence From Hotels in Indonesia Wijayanti, Cynthia Anna; Abduh, Syamsir; Kristaung, Robert; Festivalia, Filma
Return : Study of Management, Economic and Bussines Vol. 3 No. 3 (2024): Return : Study of Management, Economic And Bussines
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v3i2.209

Abstract

A business model is a strategic plan for creating, delivering, and retaining value, ensuring profitability and competitiveness. To thrive in a dynamic market, a company should harness its strengths and innovate its business model to address opportunities or challenges. Strong capabilities empower a firm to effectively implement business model innovation in response to market fluctuations. This quantitative study examines the role of a firm’s capabilities, which are dynamic capabilities and market orientation toward a business model innovation in Indonesia’s hotel industry after the pandemic. Inferential statistical analysis was conducted on two independent variables, dynamic capabilities, and market orientation, to examine their impacts on business model innovation as a dependent variable using Structural Equation Modelling with software Smart PLS 4. The samples included 492 general managers at three to five-star hotels in Indonesia who were used as respondents. They were selected using purposive sampling to examine two hypotheses. A five-point Likert-scale online questionnaire included thirty-two questions from seven dimensions covering two independent variables examined. The results of the T-test show that the firm’s capabilities, which are dynamic capabilities and market orientation, have significant effects independently on business model innovation, with each substantial value of p<0.05.  Dynamic capabilities affect business model innovation by 42.9%, followed by Market orientation, which contributes to business model innovation generation by 35%. Additionally, Importance-Performance Map Analysis (IPMA) identifies the practical contributions of firm capabilities, particularly highlighting the significance of proactive market orientation in influencing business model innovation.
Analisis Pertumbuhan Kapasitas Terpasang PLTS di Indonesia: Proyeksi Time Series Metode Double Exponential Smoothing Sandana, Ikhsan Denis; Abduh, Syamsir
Jurnal Pendidikan Indonesia Vol. 6 No. 11 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i11.8821

Abstract

Perkembangan energi terbarukan khususnya Pembangkit Listrik Tenaga Surya (PLTS) menjadi fokus utama dalam transisi energi Indonesia. Namun, pertumbuhan kapasitas terpasang PLTS yang fluktuatif memerlukan analisis proyeksi yang akurat untuk mendukung perencanaan kebijakan yang efektif. Penelitian ini bertujuan untuk membangun sebuah baseline proyeksi yang valid secara statistik untuk pertumbuhan kapasitas terpasang Pembangkit Listrik Tenaga Surya (PLTS) di Indonesia, berdasarkan data historis periode 2014-2024. Untuk mencapai tujuan tersebut, diterapkan sebuah studi perbandingan model deret waktu. Tiga kandidat pemodelan Double Exponential Smoothing (DES), ETS, dan ARIMA diseleksi. Hasil dari proses seleksi model yang didasarkan pada algoritma optimisasi dan validasi out-of-sample, mengidentifikasi Metode DES sebagai representasi yang paling akurat dan robust, dengan nilai MAPE sebesar 14,95% pada data uji. Berdasarkan analisis yang dilakukan, dapat disimpulkan bahwa metode DES dengan parameter alpha 0.3808 dan beta 1 terbukti paling optimal dalam memproyeksikan pertumbuhan kapasitas PLTS, menunjukkan tren pertumbuhan linier yang stabil dengan tingkat akurasi yang tinggi. Kontribusi utama dari penelitian ini adalah kuantifikasi terhadap karakteristik tren pertumbuhan tersebut dan implikasinya terhadap reliabilitas peramalan jangka menengah.