Rangga Agung Pribadi Heriawan
Universitas Negeri Padang

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Analisis Biaya Reklamasi Kegiatan Penambangan Batubara pada Disposal Area Blok 5 di PT Inti Bara Perdana Riam Marlina A; Rangga Agung Pribadi Heriawan; Jukepsa Andas; Bagas Aditya Permana
Journals Mining Engineering : Bina Tambang Vol 9, No 2 (2024): Journals Mining Engineering: Bina Tambang
Publisher : Departemen Teknik Pertambangan FT UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/bt.v9i2.129755

Abstract

PT Inti Bara Perdana melakukan kegiatan reklamasi lahan di area blok 5 dimana area yang dilakukan kegiatan reklamasi itu bekas disposal area dan belum ada dilakukan perhitungan biaya reklamasi pada area blok 5 triwulan 3, luas disposal area yang akan dilakukan kegiatan reklamasi seluas 7,466 ha. Metode penelitian ini menggunakan data primer yang digunakan yaitu cycle time alat excavator Caterpillar PC 320, alat dump truck Hino 500 FM 260 JD, dan bulldozer Caterpillar D6R, dan data sekunder yang digunakan yaitu peta rencana reklamasi dengan luas lahan 7,466 hektar, spesifikasi alat excavator Caterpillar PC 320, dump truck Hino 500 FM 260 JD, dan bulldozer Caterpillar D6R, serta daftar harga: bahan bakar minyak (bbm), bibit tanaman, pupuk, dan gaji karyawan. Didapatkan hasil total penebaran top soil yaitu sebesar Rp. 320.804.366,00. Jadi total keseluruhan biaya reklamasi yaitu penjumlahan biaya langsung dan biaya tidak langsung, maka didapatkan hasil biaya langsung sebesar Rp. 397.920.256,00 sedangkan biaya tidak langsung sebesar Rp. 126.936.562,00. Jadi jumlah biaya reklamasi disposal area blok 5 triwulan 3 tahun 2022 dengan total biaya sebesar Rp. 524.856.818,00, dan didapatkan total biaya per-hektar luasan disposal area blok 5 triwulan 3 tahun 2022 yaitu sebesar Rp. 70.299.600,00.
Studi Komparatif Quality of Service (QoS) pada Aplikasi Video Konferensi di Mobile Network Faradina, Nevi; Hidayat, Rahmat; Heriawan, Rangga Agung Pribadi
Jurnal Pendidikan Teknik Elektro Vol 6 No 2 (2025): Jurnal Pendidikan Teknik Elektro
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpte.v6i2.658

Abstract

The development of 4G/5G cellular networks has accelerated the use of video conferencing applications to support online learning, business meetings, and remote collaboration. However, the performance of such services is strongly influenced by Quality of Service (QoS) parameters, namely throughput, delay, jitter, and packet loss. This study aims to analyze the QoS performance of three popular video conferencing applications, namely Zoom Meeting, Google Meet, and Microsoft Teams, when operated on two Indonesian cellular networks. The research employed a quantitative experimental approach, conducting 42-second video conferencing sessions for each application. Network traffic data were captured using Wireshark software and processed to obtain throughput, delay, jitter, and packet loss values. The results were then compared against the TIPHON standards to evaluate the service quality provided by each operator and application. The result indicates that Google Meet achieved the highest throughput on XL’s network (3307 kbps) but experienced relatively high jitter, which may reduce communication stability. Zoom recorded the lowest packet loss (0.01%) and maintained stable jitter (<20 ms), making it more reliable for real-time communication despite lower throughput. Microsoft Teams showed moderate performance but suffered from significant packet loss on Indosat’s network (2.70%). In terms of operators, XL demonstrated higher throughput, while Indosat showed more stable delay performance. In conclusion, each application exhibited different strengths: Google Meet excelled in throughput, Zoom was more consistent in minimizing jitter and packet loss, and Microsoft Teams fell in the mid-range category. These findings can serve as a reference for both end users and service providers in selecting suitable video conferencing platforms based on network conditions.