Rochadi Kristiningrum, Rochadi
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THE CULTIVATION OF VANILLA AND AGAR WOOD WITH AGROFORESTRY SYSTEM AS MODEL OF SUSTAINABLE FOREST MANAGEMENT IN EAST KALIMANTAN PROVINCE Kunio, Kitai; Lahjie, Abubakar M.; Hefni, Asnan; Kristiningrum, Rochadi
Journal of Agroecology Vol 1, No 1 (2015)
Publisher : Journal of Agroecology

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Abstract

The objective of this study was to find out the optimum production of vanilla and the maximum increment of agar wood cultivated in an agroforestry system and to perform financial analysis to the system. This research conducted in Bukit Raya Village, Kutai Kartanegara Regency, East Kalimantan Province. Method of this research conducted by using theory of production, scientific principles to calculate the production of vanilla and the increment of agar wood by measuring the diameter and the highest of agar wood. To find out the financial worthiness by using Pay Back Period (PP), Net Present Value (NPV), Net benefit cost ratio (Net B/C) and Internal Rate of return (IRR). Results showed that the maximum production of vanilla at the age of 9 years old with a total production was 378 kg/ha, it can be harvested at the age 3 to 11 years while the increment of agar wood can be inoculated at the age 4-5 years with the age of inoculation during 2 years and gubal Agar wood can be harvested at the age 6 years to 25 years. The optimum increment of agar wood was reached at the age 15 years old with a total maximum was 14.5 m3/ha and the cultivation maintained up to 25 years because of financial reasons. The financial cultivation analysis of vanilla which combined with agar wood by using NPV, Net B/C and IRR theory at an interest rate of 15% was 54,592,000 rupiah, 1.95 and 21.5%, respectively. Equivalent annual annuity was 8,445,350 rupiah with a scale effort of 6 ha. It proved that the cultivation of vanilla and agar wood is feasible to cultivate by using Net present value, net B/C and IRR more than MAR.
Analysis of the direct benefits of timber and fisheries in the mangrove forest of Babulu Laut Village, North Penajam Paser Regency RUJEHAN, KUSUMA; KRISTININGRUM, ROCHADI; RUJEHAN; PURWANTI, EMI; SETIAWATI
Jurnal Bisnis Kehutanan dan Lingkungan Vol. 2 No. 1: (July) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jbkl.v2i1.2024.964

Abstract

Background: Mangrove forests are one of the natural resources of coastal areas that have an important role in terms of social, economic, and ecological aspects. The values contained in mangrove forests can be evaluated economically using the economic valuation method. This study aims to determine the direct benefits and economic value of direct benefits from mangrove forests in Babulu Laut Village. Method: The time needed for this study is more or less effective starting from April 2023 – November 2023. The sampling technique or key respondents as many as 1 respondent and case respondents were carried out by accidental sampling as many as 41 respondents. Data processing and analysis using qualitative descriptive analysis methods and quantitative descriptive analysis with economic valuation methods. Data types are primary and secondary data. Result: From the results of this study shows that the direct benefits in the mangrove forest of Babulu Laut Village which has an area of approximately 1,000 ha, namely the benefits of wood and the benefits of fisheries consisting of the benefits of fish, shrimp, crabs and seaweed. The total value of direct benefits of mangrove forests in Babulu Laut Village is Rp.404,069,141,162.00/year, this value consists of wood benefits with income of Rp.69,166,666,667/year, fish with income of Rp.40,085,011,187.00/year, shrimp with income of Rp.63,932,374,635.00/year, crabs with income of Rp.34,075,518,808.00/year, seaweed with income of Rp.196,809,569,866.00 per year. Conclusion: The greatest value of direct benefits is obtained from seaweed products, while the smallest income comes from crab benefits.  Novelty/Originality of this study: This study presents the comprehensive economic valuation of the direct benefits of mangrove forests. It provides an in-depth understanding of the economic contribution of various mangrove forest products to local communities. The findings provide an empirical basis for decision-making in sustainable mangrove forest management by highlighting the economic potential that needs to be optimally exploited, particularly in the seagrass sector.
Analisis tingkat kesesuaian lahan dan finansial pembangunan tanaman energi kaliandra (Calliandra callothyrsus) di lokasi bekas tambang batubara PT Padangsubur Biomasa Kaltim Edi, Ahlang; Rujehan, Rujehan; Ibrahim, Ibrahim; Imang, Ndan; Kristiningrum, Rochadi
ULIN: Jurnal Hutan Tropis Vol 8, No 1 (2024)
Publisher : Fakultas Kehutanan Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32522/ujht.v8i1.12070

Abstract

Metode analisis kesesuaian lahan, kelas kesesuaian lahan ditentukan oleh faktor fisik (karakteristik/kualitas lahan) pembatas terberat dalam menilai kelas kesesuaian lahan. Padangsubur Biomasa Kaltim, dari sisi iklim pada penanaman kaliandra merah (Calliandra calothyrsus) terdapat pada kelembapan udara dengan nilai 74,00%. Hal ini menyebabkan kesesuian lahan berada pada status kesesuian lahan S2 (Cukup Sesuai). Dari sisi media perakaran untuk penanaman kaliandra merah (Calliandra calothyrsus) dijumpai pada parameter kedalaman efektif. Adapun nilai kedalaman efektif <60 cm. kondisi ini menyebabkan kesesuian lahannya berada menjadi S2 (Cukup Sesuai). Dari sisi kondisi lahan untuk penanaman kaliandra merah (Calliandra calothyrsus) tidak dijumpai faktor pembatas. Kondisi ini menyebabkan kesesuian lahannya berada menjadi S1 (Sangat Sesuai). Kelayakan finansial pembangunan tanaman energi kaliandra dengan pola tanam monokultur dihitung berdasarkan uraian biaya dan pendapatan menggunakan kriteria Net Present Value (NPV), Benefit Cost Ratio (B/C) dan Internal Rate of Return (IRR) dengan discount factor (df) sebesar 10%, hasil perhitungan NPV sebesar Rp.20.544.612 (NPV>0), hasil perhitungan B/C diperoleh nilai sebesar 2,22 (B/C >1). Sedangkan hasil perhitungan IRR-nya diperoleh hasil sebesar 37% (IRR>i). Berdasarkan kriteria penilaian NPV yaitu suatu usaha dinyatakan layak apabila nilai NPV positif, B/C di atas 1 dan nilai IRR lebih besar dari Opportunity Cost of Capital.
Probabilitas kerentanan kebakaran hutan dan lahan menggunakan Model Hotspot Algoritma Maximum Entropy Dhaffa, Naufal Akhdan Amru; Suhardiman, Ali; Sulistioadi, Yohanes Budi; Ruslim, Yosep; Herlambang, Heru; Boer, Chandradewana; Kristiningrum, Rochadi
ULIN: Jurnal Hutan Tropis Vol 8, No 2 (2024)
Publisher : Fakultas Kehutanan Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32522/ujht.v8i2.14859

Abstract

Bencana merupakan suatu peristiwa yang diwaspadai karena dapat menimbulkan kerugian materiil dan mengancam keselamatan salah satunya kebakaran di hamparan lahan hutan dan pemukiman masyarakat. Pada tahun 2020, Kabupaten Kutai Timur mencatat 21 titik kejadian kebakaran hutan dan lahan tertinggi. Dampak dari kebakaran tersebut melibatkan aspek sosial, budaya, dan ekonomi. Bencana ini dipicu oleh faktor alam atau faktor lainnya, ketidakberadaan informasi lokasi kerentanan kebakaran hutan dan lahan dapat menghambat upaya pengendalian kebakaran. Penelitian ini dilakukan untuk mencegah terjadinya bencana serupa dengan memodelkan distribusi hotspot. Tujuan utama adalah menilai probabilitas kerentanan terhadap kebakaran yang dapat terjadi di areal hutan dan lahan wilayah Kutai Timur. Data kajian ini mencakup variabel hotspot dan faktor lingkungan selama lima tahun terakhir. Faktor lingkungan tersebut melibatkan data curah hujan, kelembapan, dan kecepatan angin yang dihitung rata-rata dari tahun 2018 hingga 2023. Pengembangan model menggunakan algoritma maximum entropy dan software ArcGIS untuk menganalisis data spasial. Model ini menghasilkan representasi sebaran hotspot di wilayah Kutai Timur, menunjukkan prediksi kerentanan terhadap kebakaran yang terjadi di areal hutan dan lahan. Faktor lingkungan yang digunakan memiliki kontribusi seimbang dalam pembentukan model. Hasilnya menunjukkan probabilitas kerentanan tertinggi terdapat pada area penggunaan lain dan hutan produksi di dalam kawasan administrasi Kabupaten Kutai Timur.