Mangrove-based Ecotourism Sustainability Analysis using NDVI and AHP Approach

 This article aims to analyze the sustainability of mangrove ecotourism using the Normalized Difference Vegetation Index (NDVI) and Analytical Hierarchy Process (AHP) approaches. Based on Landsat 8 OLI satellite imagery calculation using the NDVI technique, there has been a decrease in vegetation value on Dodola Island in 2017. This condition needs to be analyzed scientifically, considering the Dodola Island mangrove area to be preserved. In addition to the interests of tourism infrastructure development. The research method used is a mixed research method through a case study approach in Dodola Island, Morotai Island Regency, North Maluku Province, Indonesia. This study adopts remote sensing techniques and decision support systems to describe the results of sustainable mangrove ecotourism analysis. This study indicates that the calculation results of Landsat 8 OLI spatial data from 2013-to 2021 show a significant decrease in vegetation value in 2017, where the maximum NDVI value is 0.30, and the minimum NDVI value is 0.11. Specifically, the mangrove area also experienced a decrease in vegetation value with a maximum NDVI value is 0.23 and a minimum NDVI value is 0.02. To anticipate environmental damage in mangrove areas, this study recommends mangrove conservation programs, namely rehabilitation, restoration, reclamation, and conservation of mangrove areas. In addition, the results of the priority analysis using the AHP approach show that the rehabilitation program is a program that needs to be prioritized because it follows the existing conditions and capabilities of the Dodola Island managers

ALGORITHM COMPARISON AND FEATURE SELECTION FOR CLASSIFICATION OF BROILER CHICKEN HARVEST

Broiler chickens are the result of superior breeds that produce a lot of meat. In practice, however, many breeders experience crop failure, which has a serious impact on the economy and can also affect farmer quality, resulting in sanctions. The value of the performance index produced at harvest indicates the success rate of harvesting broiler chickens. Broiler crop yield data can be used to help classify broiler crop yield data using an approach method. The CRISP-DM (Cross Industry Standard Process for Data Mining) method was used in this study's data mining technique. This study compares 3 classification algorithms to determine the best algorithm and 3 feature selection methods to determine the best method for improving algorithm performance. According to the findings of this study, the Random Forest algorithm is the best algorithm for classifying harvest data, with an accuracy rate of 89.14 percent. The best way to improve the algorithm's performance is to use the Backward Elimination method, which can increase the accuracy by 7.53 percent. As a result, the Random Forest + Backward Elimination algorithm yields an accuracy value of 96.67 percent. According to this study, the factors that influence crop yield increase are FCR, number of harvests, and body weight

SISTEM PEMANTAU KINERJA BERBASIS BALANCED SCORECARD: STUDI KASUS UKSW DALAM RANGKA MEWUJUDKAN RESEARCH UNIVERSITY

Balanced scorecard is a concept that can be used as a performance monitoring system in an organization. Results of monitoring the performance of the organization by implementing a balanced scorecard to perform and produce measurement and monitoring from time to time. Satya Wacana Christian University wants to develop the concept of education in the direction of research in a Research University (RU). It is important for universities to create a strategy and carry out the action that RU can be realized. Application of the balanced scorecard use to see the vision and mission of the university to reach the next target should be done. As a leading university RU application of balanced scorecard need to be viewed from four perspectives: financial, customer, internal business processes, growth and learning. Based on the perspective that there is then established Key Performance Indicators (KPI) are selected according to the needs of SWCU realize RU. Performance monitoring system is used based Ms.excel. The implementation of the balanced scorecard and KPI development plans SWCU create RU in the resulting system performance monitor that can measure and monitor from time to time

Ekstraksi Pengetahuan pada Penurunan Minat Mahasiswa Mengikuti Bursa Kerja Menggunakan Soft System Methodology

Mendapatkan pekerjaan sesuai dengan bakat dan minat adalah goal yang ingin dicapai oleh mahasiswa Fakultas Teknologi Informasi di Universitas X setelah lulus. Namun ternyata hal ini bukanlah mudah karena lapangan pekerjaan yang tersedia tidak sebanding dengan jumlah mahasiswa yang ingin segera bekerja setelah lulus. Mengatasi hal ini, Unit Pengembangan Karir dan Alumi Universitas X melakukan kegiatan bursa kerja yang dilakukan sebanyak 3 kali mengikuti periode wisuda di Univeritas X. Tujuan dari kegiatan ini adalah mempercepat mahasiswa mendapatkan pekerjaan sesuai bakat dan minatnya. Dengan adanya pelaksanaan kegiatan bursa kerja yang terorganisir dengan baik tentu menarik minat dari mahasiswa untuk turut serta dalam kegiatan ini. Masalah yang muncul ketika terjadinya penurunan minat mahasiswa dalam mengikuti bursa kerja yang disebabkan oleh faktor-faktor yang belum dapat diidentifikasi. Untuk itu, perlu diterapkan sebuah metode yang dapat mengekstraksi faktor-faktor dibalik terjadinya penurunan tersebut yaitu Soft System Methodology. Penelitian ini menggunakan SSM untuk mendeskripsikan masalah penyebab penurunan minat mahasiswa yang belum terdefenisi dengan baik. Fokus penelitian ini adalah mahasiswa Fakultas Teknologi Informasi Universitas X. Pengumpulan data dilakukan dengan observasi dan teknik wawancara. Setelah mendapatkan pengetahuan tersebut, hasil dari penelitian ini adalah sebuah model konseptual yang berisi elemen-elemen yang diperlukan dalam mengurangi penurunan minat dan tindakan perbaikan terhadap situasi permasalahan yang dihadapi bursa kerja serta model sistem informasi Evaluasi Bursa Kerj

MONITORING OF MANGROVE ECOTOURISM AREA USING NDVI, NDWI, AND CMRI IN DODOLA ISLAND, MOROTAI ISLAND REGENCY, INDONESIA

Pembangunan infrastruktur pariwisata menyebabkan alih fungsi lahan atau konversi lahan dari ruang terbuka hijau menjadi kawasan ekonomi pariwisata. Pemanfaatan kawasan mangrove sebagai daya tarik ekowisata perlu dimonitoring secara berkala agar pembangunan sarana dan prasarana tidak mengancam keberlanjutan vegetasi mangrove. Artikel ini bertujuan mengidentifikasi sebaran mangrove menggunakan model normalized difference vegetation index (NDVI), normalized difference water index (NDWI), combined mangrove recognize index (CMRI) di Kabupaten Pulau Morotai, Provinsi Maluku Utara, Indonesia. Perspektif ekowisata berkelanjutan digunakan untuk mendiskusikan konteks sosio-kultural masyarakat Morotai khususnya masyarakat Pulau Kolorai. Penelitian ini mengadopsi metode campuran. Pengolahan data terbagi menjadi dua tahap yakni: tahap pertama, pemetaan sebaran mangrove Pulau Dodola menggunakan citra satelit Landsat 8 Operational Land Imager (OLI) dari tahun 2013-2021 berdasarkan kalkulasi NDVI, NDWI, dan CMRI; tahap kedua, trianggulasi. Hasil penelitian ini menunjukkan bahwa pada tahun 2017, terjadi penurunan nilai NDVI dan CMRI di Zona 1, Zona, 2, dan Zona 3 sebagai kawasan ekowisata mangrove Pulau Dodola.. Hal ini menunjukkan adanya ancaman ekosistem mangrove apabila pembangunan infrastruktur menyebabkan penurunan nilai indeks vegetasi secara signifikan dari tahun ke tahun. Dengan demikian, diperlukan program pengendalian terhadap program pembangunan infrastruktur dengan melibatkan masyarakat lokal dalam pemeliharaan ekosistem mangrove.The development of tourism infrastructure causes land-use change or land conversion from green open spaces into tourism economic areas. The utilization of mangrove areas as an ecotourism attraction needs to be monitored regularly so that facilities and infrastructure development do not threaten the sustainability of mangrove vegetation. This article aims to identify the distribution of mangroves using the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Combined Mangrove Recognize Index (CMRI) model in Morotai Island Regency, North Maluku Province, Indonesia. The perspective of sustainable ecotourism is used to discuss the socio-cultural context of the Morotai community, especially the people of Kolorai Island. This study adopted a mixed-method. Data processing is divided into two stages: the first stage, mapping the distribution of mangroves on Dodola Island using Landsat 8 Operational Land Imager (OLI) satellite imagery from 2013-2021 based on NDVI, NDWI, and CMRI calculations; the second stage, triangulation. The results of this study indicate that in 2017, there was a decrease in the value of NDVI and CMRI in Zone 1, Zone 2, and Zone 3 as a mangrove ecotourism area on Dodola Island. It indicates a threat to the mangrove ecosystem if infrastructure development causes a decrease in the value of the vegetation index significantly significant from year to year. Thus, it is necessary to control infrastructure development programs by involving local communities in the maintenance of mangrove ecosystems

Collaboration Analysis of Semarang City Dengue Hemorrhagic Fever Health Surveillance Officer with Social Network Analysis

This study aims to determine the pattern of a network collaboration between dengue hemorrhagic health surveillance personnel in the city of Semarang and to understand the flow of information deeply. The method of social network analysis / SNA (Social Network Analysis) on formal and informal communication networks between surveillance officers aims to produce sociometry and sociogram data so that the centrality of each actor in the network can be known. Interaction between Officers will be known through the analysis of the centrality of levels (degree), closeness (closeness), and intercession (betweenness). The approach used is descriptive quantitative. Data was collected using a research instrument in the form of a questionnaire, while the process of input and data analysis was carried out by looking at intact networks and ego networks carried out using UCINET. The results of the analysis show that officers dominate the centrality of the level and the intermediary with the position of Coordinator both City and District (Id. # 128, # 1, # 2, # 3). Collaboration based on working areas has a strong bond because 71% of the districts have a network density above 50%. While the value of closeness is dominated by surveillance members with id # 54, # 15, # 2, # 214, # 15 and # 10.This study aims to determine the pattern of a network collaboration between dengue hemorrhagic health surveillance personnel in the city of Semarang and to understand the flow of information deeply. The method of social network analysis / SNA (Social Network Analysis) on formal and informal communication networks between surveillance officers aims to produce sociometry and sociogram data so that the centrality of each actor in the network can be known. Interaction between Officers will be known through the analysis of the centrality of levels (degree), closeness (closeness), and intercession (betweenness). The approach used is descriptive quantitative. Data was collected using a research instrument in the form of a questionnaire, while the process of input and data analysis was carried out by looking at intact networks and ego networks carried out using UCINET. The results of the analysis show that officers dominate the centrality of the level and the intermediary with the position of Coordinator both City and District (Id. # 128, # 1, # 2, # 3). Collaboration based on working areas has a strong bond because 71% of the districts have a network density above 50%. While the value of closeness is dominated by surveillance members with id # 54, # 15, # 2, # 214, # 15 and # 10

PENGGUNAAN SOFT SYSTEM METHODOLOGY DALAM MENGEVALUASI PERMASALAHAN PEMBELAJARAN KOMPOSISI PADA MAHASISWA FOTOGRAFI FTI-UKSW SALATIGA

AbstractUsing Soft System Methodology in Evaluating Composition Problem of Photography Students in FTI-UKSW Salatiga. Learning the composition of photography at the Faculty of Information Technology (FIT) - Satya Wacana Christian University (SWCU) is a main subject and must be known by all photography students. In addition to being the basis for the material and other advanced photography courses, composition learning aims to evoke aesthetic value of students in each photo taking, if aesthetic values do not exist, then the resulting photo works have no essential value. Mastery of the composition of photography has different levels of difficulty by each individual. This is due to many factors. Unstructured problems are found both internally and externally. This research using the soft system methodology (SSM) in understanding and solving problems. As a final result, there are conceptual models and work plans for changes that can be used as input in dealing with problem situations. AbstrakPenggunaan Soft System Methodology Dalam Mengevaluasi Permasalahan Pembelajaran Komposisi pada Mahasiswa Fotografi FTI-UKSW Salatiga. Mempelajari komposisi fotografi di Fakultas Teknologi Informasi (FTI) - Universitas Kristen Satya Wacana (UKSW) adalah hal yang mendasar dan wajib diketahui oleh semua mahasiswa fotografi tanpa terkecuali. Selain menjadi dasar untuk setiap materi dan mata kuliah fotografi lanjutan lainnya, pembelajaran komposisi bertujuan untuk membangkitkan nilai estetika mahasiswa dalam setiap pengambilan karya foto. Jika nilai-nilai estetika tidak ada, maka karya foto yang dihasilkan tidak memiliki kualitas yang baik. Penguasaan komposisi fotografi memiliki tingkat kesulitan yang berbeda oleh masing-masing individu. Hal ini disebabkan banyak faktor. Masalah tidak terstruktur ditemukan baik secara internal maupun eksternal. Penelitian ini menggunakan soft system methodology (SSM) dalam memahami dan memecahkan masalah. Sebagai hasil akhir, terdapat model konseptual dan rencana kerja untuk perubahan yang dapat digunakan sebagai masukan dalam menghadapi situasi masalah

Analisis Klasterisasi Kerawanan Gempa Bumi di Provinsi Papua Menggunakan Algoritma Invasive Weed Optimization (IWO)

Gempa bumi adalah fenomena alam yang sering terjadi di Indonesia, termasuk di Provinsi Papua. Untuk mengurangi risiko dampak gempa bumi, diperlukan analisis untuk mengidentifikasi daerah-daerah yang rawan terha  dap gempa bumi. Penelitian ini bertujuan untuk menganalisis klasterisasi kerawanan gempa di Provinsi Papua menggunakan algoritma Invasive Weed Optimization (IWO). Metode ini dipilih karena dapat menghasilkan klaster yang lebih baik dibandingkan dengan algoritma klasterisasi lainnya. Data yang digunakan adalah data kejadian gempa di Provinsi Papua yang terdiri dari atribut latitude, longitude, magnitude, dan depth mulai tahun 2018 sampai Februari 2023 yang diperoleh dari website Badan Geologi Amerika Serikat yaitu United States Geological Survey (USGS). Tahapan penelitian meliputi normalisasi data, klasterisasi menggunakan algoritma IWO, dan evaluasi hasil klasterisasi menggunakan SSE dan F-Measure. Jumlah klaster terbaik yang dihasilkan oleh metode Elbow yaitu sebanyak enam klaster kerawanan gempa di Provinsi Papua, yang diberi label Sangat Tidak Rawan, Tidak Rawan, Kurang Rawan, Cukup Rawan, Rawan dan Sangat Rawan. Dengan nilai parameter sinitial sebesar 8, algoritma IWO menghasilkan nilai SSE dan F-Measure terkecil dibanding nilai parameter sinitial lainnya, yaitu masing-masing sebesar 19.1002 dan 0.5137. Evaluasi hasil klasterisasi menggunakan SSE menunjukkan nilai yang baik dari 30 kali percobaan, dengan rata-rata SSE sebesar 19.218, lebih kecil dibanding dengan rata-rata SSE hasil metode k­-Means dan DBSCAN yaitu masing-masing sebesar 19.307 dan 59.910

Public Opinion on National Exam Policies in Indonesia

Abstract Every new policy by Indonesian government in National Examination (NE) implementation always obtains different respond from public. Since the implementation, NE system already experienced many changes, but in recent years this system receives serious critiques. As a result, government then abolished this system as graduation determinant in 2014. This research analyzes public opinion, in the form of positive and negative sentiment toward NE policy, and factors that drive the opinions. Data in this research obtained from online news media from 2012 to 2015. The result shows that public sentiment fluctuating from year to year and depends on three important factors, i.e. political pressure, extreme events, and media coverage

SENTIMEN ANALISIS TWEET PORNOGRAFI KAUM HOMOSEKSUAL INDONESIA DI TWITTER DENGAN NAIVE BAYES

Media sosial adalah salah satu media yang menghubungkan orang-orang diseluruh dunia. Namun media sosial juga menjadi sarana untuk penyebaran hal-hal negatif seperti pornografi. Berita pornografi yang mendapat banyak perhatian ditahun 2017 yaitu pornografi pada kaum homoseksual yang melakukan pesta seks di beberapa kota di Indonesia. Kehadiran para kaum homoseksual dilarang di Indonesia dan mendapat diskriminasi dari masyarakat. Penolakan yang dialami membuat kaum homoseksual membuat kaum  tersebut  menggunakan  media  sosial  seperti  Twitter  untuk  membuka  diri  di  khalayak  umum, mencari pasangan sejenis, dan mencari penghasilan. Penelitian ini dilakukan sentimen analisis pada tweet Twitter sebagai text mining menggunakan metode Naïve Bayes. Tujuan penelitian ini adalah mengetahui hasil sentimen positif dan negatif terhadap data uji tweet dan berdasarkan hasil pengujian tersebut dapat disampaikan kepada pengguna Twitter secara luas untuk menggunakan Twitter secara tepat. Selain itu juga,  perhitungan  Naive  Bayes  dibandingkan  dengan  k-Nearest  Neighbor  (k-NN)  untuk  mengetahui tingkat akurasi. Hasil sentimen analisis terhadap 500 data uji menunjukkan bahwa nilai sentimen negatif sangat tinggi yaitu 68.4%. Sedangkan hasil perbandingan akurasi kedua metode adalah metode Naïve Bayes sebesar 87.48% dan k-NN 85.40% dimana metode Naïve Bayes lebih akurasi dibanding metode k- NN. Kata kunci: twitter, sentimen analisis, homoseksual, naïve bayes, k-NN