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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.
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.
PENGARUH INTENSITAS RADIASI DAN DURASI PENYINARAN MATAHARI TERHADAP MUATAN LISTRIK BATERAI PLTS: STUDI KASUS PADA PLTS INSTITUT TEKNOLOGI PLN Nur Aldillah Julita; Syamsir Abduh
Integrative Perspectives of Social and Science Journal Vol. 2 No. 07 Desember (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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Abstract

Pembangkit Listrik Tenaga Surya (PLTS) off-grid menjadi salah satu solusi penting dalam mendukung transisi energi terbarukan, khususnya di wilayah tropis urban seperti Jakarta. Kinerja sistem ini sangat dipengaruhi oleh faktor lingkungan, terutama intensitas radiasi matahari dan durasi penyinaran harian. Penelitian ini bertujuan untuk menganalisis pengaruh kedua variabel tersebut terhadap muatan listrik baterai PLTS sebagai penyimpan energi utama. Landasan teoritis mencakup konsep intensitas radiasi, durasi penyinaran, dan mekanisme pengisian baterai dalam sistem fotovoltaik, dengan metode analisis regresi linier dan nonlinier (logaritmik, kuadratik, dan kubik). Data yang digunakan diperoleh dari catatan operasional PLTS Institut Teknologi PLN selama periode Januari– Desember 2024, dengan total 366 hari observasi. Hasil analisis menunjukkan bahwa intensitas radiasi memiliki pengaruh positif dan signifikan terhadap arus listrik yang masuk ke baterai pada seluruh bentuk model regresi, sedangkan durasi penyinaran memberikan pengaruh positif namun tidak signifikan. Model nonlinier mengindikasikan adanya hubungan yang lebih kompleks, khususnya saat variabel suhu ambient dan kecepatan angin dimasukkan sebagai faktor mediasi, di mana pola pengaruhnya menunjukkan titik jenuh pada nilai tertentu. Kesimpulannya, intensitas radiasi merupakan faktor dominan dalam menentukan efisiensi pengisian baterai PLTS, sedangkan durasi penyinaran memiliki peran terbatas. Peningkatan kinerja sistem dapat dilakukan melalui integrasi pemantauan radiasi secara real-time, pemanfaatan teknologi prediksi cuaca, dan pemilihan baterai berkapasitas tinggi yang sesuai dengan kondisi iklim tropis.
The Role of A Firm’s Capabilities on Business Model Innovation; Evidence From Hotels in Indonesia Cynthia Anna Wijayanti; Syamsir Abduh; Robert Kristaung; Filma Festivalia
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.
Transformer Load Calculator & Simulator for 70kV Seduduk Putih Substation: Statistical Analysis and Prediction Julita, Nur Aldillah; Abduh, Syamsir; Wijaya, Farid
Jurnal Teknik Elektro Indonesia Vol 7 No 1 (2026): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v7i1.790

Abstract

This study aimed to analyze the load patterns of two power transformers at the 70kV Seduduk Putih Substation using descriptive statistical approaches, load analysis, and Multiple Linear Regression based on hourly data throughout 2024. The analysis focused on two main transformers with a capacity of 30 MVA each, employing descriptive statistics and regression methods to identify distribution, trends, and relationships between variables. The results indicate that the average load of the two transformers at the 70kV Seduduk Putih Substation is as follows: Transformer 1 operates at 60% of its maximum load, while Transformer 2 operates at 45% of its maximum load. This suggests that the average loads of both transformers remain below 80%, which is considered normal/safe. However, the peak load analysis shows that Transformer 1 reaches a maximum load of 92.08%, and Transformer 2 reaches 87.03%, indicating that their peak loads exceed 80%. Load data was collected periodically for specific periods, including hourly, monthly, and peak load measurements. Multiple Linear Regression was used to evaluate the relationship between time and transformer load. The findings reveal that the transformers exhibit distinct load patterns for each month, with a moderate correlation to time as indicated by the R-Square value. The peak load analysis identifies critical times with potential overloading risks. This study is expected to serve as a reference for PLN, the operator of the substation, in making operational decisions.
Study on Optimal Location Determination for 500 kV Extra High Voltage Substation Construction in Paiton Subsystem to Reduce to Transmission Loss Dede Ridza Diana; Tajuddin Nur; Herlina Herlina; Syamsir Abduh
INSOLOGI: Jurnal Sains dan Teknologi Vol. 5 No. 1 (2026): Februari 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v5i1.7578

Abstract

Electricity transmission losses are a significant challenge in the Java-Madura-Bali (Jamali) power system, especially in the Paiton subsystem, which is a critical point for power supply to the island of Bali. This study aims to identify the optimal location for the construction of a new Extra High Voltage Substation (GITET) to minimize transmission losses and improve the economic efficiency of the system. The method used is quasi-dynamic power flow simulation with electrical network modeling using PSS/E software integrated with Python, carried out in a time series throughout 2025 at four alternative locations: Watudodol, Jember, Genteng, and Banyuwangi. The simulation results reveal that the construction of GITET in Banyuwangi is technically the most optimal, capable of reducing transmission losses from 420.57 GWh to 94.71 GWh or around 77.5%. Economic analysis shows that the Jember location has the best financial parameters with an IRR of 15.01%, NPV of IDR 4.47 trillion, and a payback period of 9.35 years, even though the reduction in transmission losses is lower than in Banyuwangi. In conclusion, the selection of the GITET location must consider the trade-off between technical efficiency and financial benefits; Banyuwangi excels technically, while Jember is economically optimal, so that a combination of development strategies can maximize the performance of the Jamali electricity system.