The contribution of the mining sector to forest destruction in Indonesia reaches 10% and now drove to 2 million ha every year. To overcome this problem, it is necessary to reclaim the former mining area. One of the determinants of the success of reclamation is plant’s selection, in accordance with the condition of the land. In this case for revegetation activities need to pay attention between plant’s selectionspecies and plant growth requirements with the condition of the land, so that the reclamation success criteria can be achieved. This research uses descriptive analysis method, this method is done by describing the facts which followed byanalysis and provide sufficient understanding and explanation. Techniques of data collection using comparative analysis method by comparing various journals and other literature. Criteria for selection of tree species for ex-mining land can be seen from:(1) local species of pioneer, (2) fast growing but not in high cost, (3) produces litter that easy to decompose, (4) good root system and able to do reciprocal relationship with certain microba, (5) seed carrier, (6) easy and cheap in propagation, planting and maintenance. The success of revegetation depends on several things such as: preparation of planting, crop, plant maintenance and plant monitoring. Keywords: mining, reclamation, plant, revegetation

The implementation of face recognition technique using CCTV is able to prevent unauthorized person enter the gate. Face recognition can be used for authentication, which can be implemented for preventing of criminal incidents. This re-search proposed a face recognition system using convolutional neural network to open and close the real-time barrier gate. The process consists of a convolutional layer, pooling layer, max pooling, flattening, and fully connected layer for detecting a face. The information was sent to the microcontroller using Internet of Thing (IoT) for controlling the barrier gate. The face recognition results are used to open or close the gate in the real time. The experimental results obtained average error rate of 0.320 and the accuracy of success rate is about 93.3%. The average response time required by microcontroller is about 0.562ms. The simulation result show that the face recognition technique using CNN is highly recommended to be implemented in barrier gate system.

The weather anomaly phenomenon that occurs can have some negative impact such as flooding, floods will paralyze the economic activities of the community, transportation activities, damage public infrastructure. In this research forecasting weather parameters as a variable for predicting the amount of rainfall using the ANFIS method and Support Vector Regression (SVR) with the aim to provide information on future weather conditions quickly and accurately. The people can prepare themselves and prepare the equipment needed to deal with it. Rainfall predicted based on synop data such us relative humidity, wind, and temperature. Each parameters must forcasted by using ANFIS and the result used for predict rainfall. Accurate prediction calculated using MSE and RMSE. Predictions of parameters that affect rainfall using the ANFIS method shown that for wind speed predictions having RMSE of 1.975004, temperature predictions have RMSE of 0.742332, and predictions of relative humidity have RMSE of 3.871590. Predicted rainfall based on the data results of the nearest method pre-processing using the Support Vector Regression (SVR) method produces an MSE error value of 0.0928.

Kualitas air merupakan salah satu komponen lingkungan yang sangat penting dan sebagai indikator sehatnya suatu daerah aliran sungai. Sejalan dengan perkembangan jumlah penduduk dan meningkatnya kegiatan masyarakat dan industri mengakibatkan perubahan fungsi lingkungan. Hal ini berdampak negatif terhadap kelestarian sumberdaya air yang diindikasikan dengan semakin meningkatnya daya rusak air. Degradasi yang terjadi di daerah aliran sungai berdampak pada perubahan aktifitas tata guna lahan dan ekosistem yang termasuk di dalamnya. Pemanfaatan fungsi sungai yang tercemar setara dengan kondisi kelangkaan air. Tingkat penurunan kualitas air akan mempengaruhi kelestarian sumberdaya air yang tersedia untuk penggunaan yang bermanfaat, dan pada gilirannya akan membatasitata guna lahan produktif. DAS (daerah aliran sungai) Cisanggarung termasuk dalam wilayah Provinsi Jawa Barat dan Jawa Tengah, kabupaten yang termasuk dalam DAS Cisanggarung yaitu Kabupaten Cirebon dan Kuningan berada di Provinsi Jawa Barat, dan Kabupaten Brebes berada di Provinsi Jawa Tengah. Curah hujan yang terjadi di DAS Cisanggarung rata-rata sebesar 2.032 mm. Potensi aliran rata-rata mencapai kapasitas sebesar 2,0 milyar meter kubik per tahun. Vegetasi yang ada sebagian besar berupa hutan, lahan pertanian, lahan perkebunan, lahan belukar dan lahan permukiman. Penelitian dilaksanakan di 6 Stasiun Pemantauan Kualitas Air Daerah Aliran Sungai Cisanggarung, yang secara administrasi masuk ke dalam wilayah kabupaten kuningan dan kabupaten Cirebon dengan tujuan untuk mengidentifikasi kualitas air sungai di DAS Cisanggarung, kemudian dapat diketahui status kualitas air di DAS Cisanggarung tersebut. Berdasarkan peruntukan air dan baku mutu air, maka diperoleh hasil bahwa Sungai Cisanggarung termasuk golongan B, C, D yaitu air yang memenuhi syarat untuk peruntukan golongan B (air baku air minum), golongan C (air untuk keperluan perikanan dan peternakan), golongan D (air yang digunakan untuk pertanian dan dapat digunakan untuk usaha perkotaan, industri dan pembangkit listrik tenaga air. Dari hasil dari analisa diperoleh faktor pembatas, adalah BOD, COD, kekeruhan, nitrat, ortho phospat, ammonium, amoniak, dan fecal coliform adalah melebihi baku mutu B, C, D sebagaimana tercantum dalam Surat Keputusan Gubernur Jawa Barat No. 58 Tahun 1998 tentang Peruntukan Air Dan Baku Mutu Air. Dan dari penelitian telah didapatkan hasil bahwa kadar BOD, COD, kekeruhan, amoniak, ammonium, nitrat, ortho phospat, dan kadar fecal coliform, telah melebihi baku mutu B, C, D yang diperbolehkan. Hal ini disebabkan karena pada daerah aliran sungai Cisanggarung banyak sekali kegiatan pertanian, perkebunan dan limbah rumah tangga dari pemukiman sehingga kualitas air sungai menjadi tidak baik.Kata kunci: kualitas air, sumberdaya air, daerah aliran sungai

Sungai Mahakam have an important role in the survival of the surrounding society. Mahakam River is used by the surrounding society for their household needs and also as a source of raw water for Perumdam Tirta Kencana, Samarinda City. In addition, this river is also used for a means of transportation and a lane for barges that carrying coal. This condition allows the pollution that occurs in this river. Physical condition that shows the color of the water is cloudy and the growth of water hyacinth plants along the river. Therefore, the status of the water quality is needed as pollution control for Mahakam River. The method that used to determine the quality status in this study is the Pollution Index. The parameters that used in this study are pH, Temperature, TDS, TSS, COD, BOD and Pb (lead) which were measured according to SNI. The results of the Mahakam River water quality status at point 1-3 are included in the “lightly polluted’ category with 2,106-1,65 value range.